rust/greptimedb
1
0
Fork 0
mirror of https://github.com/GreptimeTeam/greptimedb.git synced 2026-10-26 05:36:16 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: upgrade DataFusion family, again (#7578)

Browse Source 
* chore: upgrade DataFusion family

Signed-off-by: luofucong <luofc@foxmail.com>

* chore: switch to released version of datafusion-pg-catalog

---------

Signed-off-by: luofucong <luofc@foxmail.com>
Co-authored-by: Ning Sun <sunning@greptime.com>
Co-authored-by: Ning Sun <sunng@protonmail.com>
This commit is contained in:
LFC
2026-03-03 07:36:39 +00:00
committed by GitHub
co-authored by Ning Sun Ning Sun
parent aab839b6e4
commit b2074e3863
135 changed files with 1589 additions and 2555 deletions
Download Patch File Download Diff File Expand all files Collapse all files
tests/cases/distributed/explain/analyze.result
-1
View File
@@ -45,7 +45,6 @@ explain analyze SELECT count(*) FROM system_metrics;
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(system_REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(system_REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/distributed/explain/join_10_tables.result
-31
View File
@@ -117,67 +117,36 @@ limit 1;
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ts@0 DESC], fetch=1_|
|_|_SortExec: TopK(fetch=1), expr=[ts@0 DESC], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_FilterExec: vin@1 IS NOT NULL_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_FilterExec: vin@1 IS NOT NULL_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/distributed/explain/multi_partitions.result
-2
View File
@@ -31,8 +31,6 @@ explain SELECT * FROM multi_partitions_test_table WHERE ts > cast(1000000000 as
|_|_TableScan: multi_partitions_test_table_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/distributed/explain/order_by.result
-2
View File
@@ -129,7 +129,6 @@ EXPLAIN ANALYZE SELECT i, t AS alias_ts FROM test_pk ORDER BY t DESC LIMIT 5;
|_|_|_WindowedSortExec: expr=t@1 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@1 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_ProjectionExec: expr=[i@0 as i, t@1 as t, t@1 as test_pk.t__temp__0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -153,7 +152,6 @@ EXPLAIN ANALYZE SELECT i, t AS alias_ts FROM test_pk ORDER BY alias_ts DESC LIMI
|_|_|_SortPreservingMergeExec: [t@1 DESC], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@1 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@1 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
tests/cases/distributed/explain/step_aggr.result
-30
View File
@@ -67,7 +67,6 @@ FROM
|_|_AggregateExec: mode=Final, gby=[], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -97,25 +96,21 @@ FROM
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -153,7 +148,6 @@ FROM
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[avg(integers.i)]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[avg(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -178,25 +172,21 @@ FROM
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[avg(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[avg(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__avg_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -257,10 +247,8 @@ ORDER BY
|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[ts@0 as ts, count(integers.i)@1 as count(integers.i), sum(integers.i)@2 as sum(integers.i), uddsketch_calc(0.5, uddsketch_state(Int64(128),Float64(0.01),integers.i)@3) as uddsketch_calc(Float64(0.5),uddsketch_state(Int64(128),Float64(0.01),integers.i)), hll_count(hll(integers.i)@4) as hll_count(hll(integers.i))]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -295,31 +283,23 @@ ORDER BY
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, count(integers.i)@1 as count(integers.i), sum(integers.i)@2 as sum(integers.i), uddsketch_calc(0.5, uddsketch_state(Int64(128),Float64(0.01),integers.i)@3) as uddsketch_calc(Float64(0.5),uddsketch_state(Int64(128),Float64(0.01),integers.i)), hll_count(hll(integers.i)@4) as hll_count(hll(integers.i))] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -380,10 +360,8 @@ ORDER BY
|_|_SortExec: expr=[time_window@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[date_bin(Utf8("2 seconds"),integers.ts)@0 as time_window, count(integers.i)@1 as count(integers.i), sum(integers.i)@2 as sum(integers.i), uddsketch_calc(0.5, uddsketch_state(Int64(128),Float64(0.01),integers.i)@3) as uddsketch_calc(Float64(0.5),uddsketch_state(Int64(128),Float64(0.01),integers.i)), hll_count(hll(integers.i)@4) as hll_count(hll(integers.i))]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -418,31 +396,23 @@ ORDER BY
|_|_|_SortExec: expr=[time_window@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[date_bin(Utf8("2 seconds"),integers.ts)@0 as time_window, count(integers.i)@1 as count(integers.i), sum(integers.i)@2 as sum(integers.i), uddsketch_calc(0.5, uddsketch_state(Int64(128),Float64(0.01),integers.i)@3) as uddsketch_calc(Float64(0.5),uddsketch_state(Int64(128),Float64(0.01),integers.i)), hll_count(hll(integers.i)@4) as hll_count(hll(integers.i))] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[count(integers.i), sum(integers.i), uddsketch_state(Int64(128),Float64(0.01),integers.i), hll(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 2000000000 }, ts@1) as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 2000000000 }, ts@1) as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("2 seconds"),integers.ts)@0 as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 2000000000 }, ts@1) as date_bin(Utf8("2 seconds"),integers.ts)], aggr=[__count_state(integers.i), __sum_state(integers.i), __uddsketch_state_state(Int64(128),Float64(0.01),integers.i), __hll_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
tests/cases/distributed/explain/step_aggr_advance.result
+29 -157
View File
@@ -38,9 +38,7 @@ tql explain (1752591864, 1752592164, '30s') max by (a, b, c) (max_over_time(aggr
| | TableScan: aggr_optimize_not |
| | ]] |
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] |
| | CooperativeExec |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -57,38 +55,30 @@ tql analyze (1752591864, 1752592164, '30s') max by (a, b, c) (max_over_time(aggr
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[max(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[max(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b, c@2 as c] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[max(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[max(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b, c@2 as c] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -118,12 +108,8 @@ tql explain (1752591864, 1752592164, '30s') sum by (a, b) (max_over_time(aggr_op
| | ]] |
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, greptime_timestamp@2 ASC NULLS LAST] |
| | SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, greptime_timestamp@2 ASC NULLS LAST], preserve_partitioning=[true] |
| | AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | AggregateExec: mode=SinglePartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | MergeScanExec: REDACTED
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -141,37 +127,27 @@ tql analyze (1752591864, 1752592164, '30s') sum by (a, b) (max_over_time(aggr_op
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, greptime_timestamp@2 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, greptime_timestamp@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[sum(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[__sum_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, greptime_timestamp@2 as greptime_timestamp], aggr=[__sum_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -201,12 +177,8 @@ tql explain (1752591864, 1752592164, '30s') avg by (a) (max_over_time(aggr_optim
| | ]] |
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST, greptime_timestamp@1 ASC NULLS LAST] |
| | SortExec: expr=[a@0 ASC NULLS LAST, greptime_timestamp@1 ASC NULLS LAST], preserve_partitioning=[true] |
| | AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | AggregateExec: mode=SinglePartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | MergeScanExec: REDACTED
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -224,37 +196,27 @@ tql analyze (1752591864, 1752592164, '30s') avg by (a) (max_over_time(aggr_optim
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, greptime_timestamp@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, greptime_timestamp@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[avg(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[__avg_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, greptime_timestamp@0 as greptime_timestamp], aggr=[__avg_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, greptime_timestamp@1 as greptime_timestamp], aggr=[__avg_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, greptime_timestamp@0 as greptime_timestamp], aggr=[__avg_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -283,9 +245,7 @@ tql explain (1752591864, 1752592164, '30s') count by (a, b, c, d) (max_over_time
| | TableScan: aggr_optimize_not |
| | ]] |
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST] |
| | CooperativeExec |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -302,38 +262,26 @@ tql analyze (1752591864, 1752592164, '30s') count by (a, b, c, d) (max_over_time
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d, greptime_timestamp@4 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, d@5 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, d@5 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b, c@2 as c, d@3 as d] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, d@3 ASC NULLS LAST, greptime_timestamp@4 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d, greptime_timestamp@4 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, d@5 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, d@5 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[count(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), a@0 as a, b@1 as b, c@2 as c, d@3 as d] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -363,12 +311,8 @@ tql explain (1752591864, 1752592164, '30s') min by (b, c, d) (max_over_time(aggr
| | ]] |
| physical_plan | SortPreservingMergeExec: [b@0 ASC NULLS LAST, c@1 ASC NULLS LAST, d@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] |
| | SortExec: expr=[b@0 ASC NULLS LAST, c@1 ASC NULLS LAST, d@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] |
| | AggregateExec: mode=FinalPartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | AggregateExec: mode=SinglePartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] |
| | MergeScanExec: REDACTED
| | |
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -386,37 +330,27 @@ tql analyze (1752591864, 1752592164, '30s') min by (b, c, d) (max_over_time(aggr
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [b@0 ASC NULLS LAST, c@1 ASC NULLS LAST, d@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[b@0 ASC NULLS LAST, c@1 ASC NULLS LAST, d@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[min(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[__min_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[b@2 as b, c@3 as c, d@4 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[__min_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), b@1 as b, c@2 as c, d@3 as d] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[b@0 as b, c@1 as c, d@2 as d, greptime_timestamp@3 as greptime_timestamp], aggr=[__min_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[b@2 as b, c@3 as c, d@4 as d, greptime_timestamp@0 as greptime_timestamp], aggr=[__min_state(prom_max_over_time(greptime_timestamp_range,greptime_value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_max_over_time(greptime_timestamp_range,greptime_value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_max_over_time(greptime_timestamp_range@6, greptime_value@5) as prom_max_over_time(greptime_timestamp_range,greptime_value), b@1 as b, c@2 as c, d@3 as d] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -444,11 +378,9 @@ tql explain sum(aggr_optimize_not);
| physical_plan | SortPreservingMergeExec: [greptime_timestamp@0 ASC NULLS LAST] |
| | SortExec: expr=[greptime_timestamp@0 ASC NULLS LAST], preserve_partitioning=[true] |
| | AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(aggr_optimize_not.greptime_value)] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(aggr_optimize_not.greptime_value)] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(aggr_optimize_not.greptime_value)] |
| | MergeScanExec: REDACTED
| | |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -467,30 +399,24 @@ tql analyze sum(aggr_optimize_not);
| 0_| 0_|_SortPreservingMergeExec: [greptime_timestamp@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[greptime_timestamp@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, greptime_value@5 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..0], lookback=[300000], interval=[300000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, greptime_value@5 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..0], lookback=[300000], interval=[300000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -549,28 +475,19 @@ tql explain (1752591864, 1752592164, '30s') sum by (a, b, c) (rate(aggr_optimize
| | TableScan: aggr_optimize_not_count |
| | ]] |
| physical_plan | ProjectionExec: expr=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp, sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@5 / sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@4 as aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | REDACTED
| | CoalescePartitionsExec |
| | AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | FilterExec: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))@1 IS NOT NULL |
| | ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] |
| | PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] |
| | PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivideExec: tags=["a", "b", "c", "d"] |
| | SortExec: expr=[a@0 ASC, b@1 ASC, c@2 ASC, d@3 ASC, greptime_timestamp@4 ASC], preserve_partitioning=[true] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | REDACTED
| | CoalescePartitionsExec |
| | AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] |
| | FilterExec: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))@1 IS NOT NULL |
| | ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] |
| | PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] |
| | PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivideExec: tags=["a", "b", "c", "d"] |
| | SortExec: expr=[a@0 ASC, b@1 ASC, c@2 ASC, d@3 ASC, greptime_timestamp@4 ASC], preserve_partitioning=[true] |
| | MergeScanExec: REDACTED
| | SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] |
| | CooperativeExec |
| | SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -587,25 +504,16 @@ tql analyze (1752591864, 1752592164, '30s') sum by (a, b, c) (rate(aggr_optimize
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp, sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@5 / sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))@4 as aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) / aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_FilterExec: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_SortExec: expr=[a@0 ASC, b@1 ASC, c@2 ASC, d@3 ASC, greptime_timestamp@4 ASC], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
@@ -620,32 +528,26 @@ tql analyze (1752591864, 1752592164, '30s') sum by (a, b, c) (rate(aggr_optimize
|_|_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp, sum(prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)))@4 as sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST, b@1 ASC NULLS LAST, c@2 ASC NULLS LAST, greptime_timestamp@3 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, greptime_timestamp@3 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@2 as a, b@3 as b, c@4 as c, greptime_timestamp@0 as greptime_timestamp], aggr=[sum(prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@4 as greptime_timestamp, prom_rate(greptime_timestamp_range@6, greptime_value@5, greptime_timestamp@4, 120000) as prom_rate(greptime_timestamp_range,greptime_value,aggr_optimize_not.greptime_timestamp,Int64(120000)), a@0 as a, b@1 as b, c@2 as c] REDACTED
|_|_|_PromRangeManipulateExec: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[greptime_timestamp], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["a", "b", "c", "d"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -703,18 +605,14 @@ GROUP BY
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[min(aggr_optimize_not.greptime_value)@3 as min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, c@2 as c], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[min(aggr_optimize_not.greptime_value)@3 as min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, c@2 as c], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -774,18 +672,14 @@ GROUP BY
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[min(aggr_optimize_not.greptime_value)@4 as min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[min(aggr_optimize_not.greptime_value)@4 as min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b, c@2 as c, d@3 as d], aggr=[min(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -845,17 +739,13 @@ GROUP BY
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -915,17 +805,13 @@ GROUP BY
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value), __max_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value), __max_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value), __max_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[__min_state(aggr_optimize_not.greptime_value), __max_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -1003,17 +889,13 @@ GROUP BY
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[__min_state(aggr_optimize_not.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -1093,8 +975,6 @@ EXPLAIN SELECT pk_col_1, pk_col_2, sum(val_col_1) FROM step_aggr_extended GROUP
|_|_TableScan: step_aggr_extended_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [pk_col_1@0 ASC NULLS LAST, pk_col_2@1 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -1133,11 +1013,9 @@ EXPLAIN SELECT COUNT(DISTINCT val_col_1) FROM step_aggr_extended;
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(alias1)]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[alias1@0 as alias1], aggr=[]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[val_col_1@0 as alias1], aggr=[]_|
|_|_ProjectionExec: expr=[val_col_1@2 as val_col_1]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -1176,13 +1054,10 @@ EXPLAIN SELECT pk_col_2, sum(val_col_1) FROM step_aggr_extended GROUP BY pk_col_
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [pk_col_2@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[pk_col_2@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_FilterExec: sum(step_aggr_extended.val_col_1)@1 > 300_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[pk_col_2@0 as pk_col_2], aggr=[sum(step_aggr_extended.val_col_1)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[pk_col_2@0 as pk_col_2], aggr=[sum(step_aggr_extended.val_col_1)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -1219,7 +1094,6 @@ EXPLAIN SELECT SUM(val_col_3), COUNT(val_col_2), COUNT(val_col_3), COUNT(*) FROM
|_|_AggregateExec: mode=Final, gby=[], aggr=[sum(step_aggr_extended.val_col_3), count(step_aggr_extended.val_col_2), count(step_aggr_extended.val_col_3), count(Int64(1))]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[sum(step_aggr_extended.val_col_3), count(step_aggr_extended.val_col_2), count(step_aggr_extended.val_col_3), count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -1254,7 +1128,6 @@ EXPLAIN SELECT MIN(pk_col_1), MAX(val_col_2) FROM step_aggr_extended;
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[min(step_aggr_extended.pk_col_1), max(step_aggr_extended.val_col_2)]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[min(step_aggr_extended.pk_col_1), max(step_aggr_extended.val_col_2)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -1292,7 +1165,6 @@ EXPLAIN SELECT SUM(val_col_1), COUNT(*) FROM step_aggr_extended WHERE pk_col_1 =
|_|_AggregateExec: mode=Final, gby=[], aggr=[sum(step_aggr_extended.val_col_1), count(Int64(1))]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[sum(step_aggr_extended.val_col_1), count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/distributed/explain/step_aggr_basic.result
+1 -41
View File
@@ -60,7 +60,6 @@ FROM
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[count(integers.i)]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -86,25 +85,21 @@ FROM
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -151,7 +146,7 @@ ORDER BY
| plan_type_| plan_|
+-+-+
| logical_plan_| Sort: integers.ts ASC NULLS LAST, count(integers.i) ASC NULLS LAST_|
|_|_Aggregate: groupBy=[[integers.ts]], aggr=[[__count_merge(__count_state(integers.i)) AS count(integers.i)]]_|
|_|_Aggregate: groupBy=[[integers.ts]], aggr=[[__count_merge(__count_state(integers.i)) AS count(integers.i)]] |
|_|_MergeScan [is_placeholder=false, remote_input=[_|
|_| Aggregate: groupBy=[[integers.ts]], aggr=[[__count_state(integers.i)]]_|
|_|_TableScan: integers_|
@@ -159,10 +154,8 @@ ORDER BY
| physical_plan | SortPreservingMergeExec: [ts@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST]_|
|_|_SortExec: expr=[ts@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(integers.i)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -194,31 +187,23 @@ ORDER BY
| 0_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -275,10 +260,8 @@ ORDER BY
|_|_SortExec: expr=[time_window@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[date_bin(Utf8("1 hour"),integers.ts)@0 as time_window, count(integers.i)@1 as count(integers.i)]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[count(integers.i)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[count(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -311,31 +294,23 @@ ORDER BY
|_|_|_SortExec: expr=[time_window@0 ASC NULLS LAST, count(integers.i)@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[date_bin(Utf8("1 hour"),integers.ts)@0 as time_window, count(integers.i)@1 as count(integers.i)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[count(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[count(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 3600000000000 }, ts@1) as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 3600000000000 }, ts@1) as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("1 hour"),integers.ts)@0 as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 3600000000000 }, ts@1) as date_bin(Utf8("1 hour"),integers.ts)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -400,10 +375,8 @@ ORDER BY
| physical_plan | SortPreservingMergeExec: [integers.ts + Int64(1)@0 ASC NULLS LAST, integers.i / Int64(2)@1 ASC NULLS LAST]_|
|_|_SortExec: expr=[integers.ts + Int64(1)@0 ASC NULLS LAST, integers.i / Int64(2)@1 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[count(integers.i)] |
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[count(integers.i)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -438,31 +411,23 @@ ORDER BY
| 0_| 0_|_SortPreservingMergeExec: [integers.ts + Int64(1)@0 ASC NULLS LAST, integers.i / Int64(2)@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[integers.ts + Int64(1)@0 ASC NULLS LAST, integers.i / Int64(2)@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[count(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[count(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[CAST(ts@1 AS Int64) + 1 as integers.ts + Int64(1), i@0 / 2 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[CAST(ts@1 AS Int64) + 1 as integers.ts + Int64(1), i@0 / 2 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[integers.ts + Int64(1)@0 as integers.ts + Int64(1), integers.i / Int64(2)@1 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[CAST(ts@1 AS Int64) + 1 as integers.ts + Int64(1), i@0 / 2 as integers.i / Int64(2)], aggr=[__count_state(integers.i)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -535,7 +500,6 @@ FROM
|_|_AggregateExec: mode=Final, gby=[], aggr=[uddsketch_merge(Int64(128),Float64(0.01),sink_table.udd_state), hll_merge(sink_table.hll_state)]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[uddsketch_merge(Int64(128),Float64(0.01),sink_table.udd_state), hll_merge(sink_table.hll_state)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -563,25 +527,21 @@ FROM
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[uddsketch_merge(Int64(128),Float64(0.01),sink_table.udd_state), hll_merge(sink_table.hll_state)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[uddsketch_merge(Int64(128),Float64(0.01),sink_table.udd_state), hll_merge(sink_table.hll_state)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__uddsketch_merge_state(Int64(128),Float64(0.01),sink_table.udd_state), __hll_merge_state(sink_table.hll_state)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/distributed/explain/step_aggr_massive.result
+16 -86
View File
@@ -254,10 +254,8 @@ GROUP BY
|_| ]]_|
| physical_plan | ProjectionExec: expr=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@5 as lcp_state, max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@6 as max_lcp, min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@7 as min_lcp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@8 as fmp_state, max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@9 as max_fmp, min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@10 as min_fmp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@11 as fcp_state, max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@12 as max_fcp, min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@13 as min_fcp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@14 as fp_state, max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@15 as max_fp, min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@16 as min_fp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@17 as tti_state, max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@18 as max_tti, min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@19 as min_tti, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@20 as fid_state, max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@21 as max_fid, min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@22 as min_fid, max(base_table.shard_key)@23 as shard_key, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(base_table.shard_key)]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_AggregateExec: mode=Partial, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(base_table.shard_key)]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -459,170 +457,120 @@ GROUP BY
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@5 as lcp_state, max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@6 as max_lcp, min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END)@7 as min_lcp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@8 as fmp_state, max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@9 as max_fmp, min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END)@10 as min_fmp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@11 as fcp_state, max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@12 as max_fcp, min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END)@13 as min_fcp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@14 as fp_state, max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@15 as max_fp, min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END)@16 as min_fp, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@17 as tti_state, max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@18 as max_tti, min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END)@19 as min_tti, uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@20 as fid_state, max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@21 as max_fid, min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END)@22 as min_fid, max(base_table.shard_key)@23 as shard_key, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), max(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), min(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), max(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), min(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), max(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), min(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), max(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), min(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), max(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), min(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE NULL END), uddsketch_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), min(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE NULL END), max(base_table.shard_key)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 3_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 4_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 5_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 6_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 7_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 8_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 9_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 10_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 11_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 12_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 13_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 14_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 15_|_AggregateExec: mode=FinalPartitioned, gby=[env@0 as env, service_name@1 as service_name, city@2 as city, page@3 as page, arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))@4 as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(Second, None)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[env@7 as env, service_name@8 as service_name, city@9 as city, page@10 as page, CAST(date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 60000000000 }, time@6) AS Timestamp(s)) as arrow_cast(date_bin(Utf8("60 seconds"),base_table.time),Utf8("Timestamp(s)"))], aggr=[__uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.lcp > Int64(0) AND base_table.lcp < Int64(3000000) THEN base_table.lcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fmp > Int64(0) AND base_table.fmp < Int64(3000000) THEN base_table.fmp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fcp > Int64(0) AND base_table.fcp < Int64(3000000) THEN base_table.fcp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fp > Int64(0) AND base_table.fp < Int64(3000000) THEN base_table.fp ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.tti > Int64(0) AND base_table.tti < Int64(3000000) THEN base_table.tti ELSE Int64(NULL) END), __uddsketch_state_state(Int64(128),Float64(0.01),CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __min_state(CASE WHEN base_table.fid > Int64(0) AND base_table.fid < Int64(3000000) THEN base_table.fid ELSE Int64(NULL) END), __max_state(base_table.shard_key)] REDACTED
|_|_|_ProjectionExec: expr=[CASE WHEN lcp@5 > 0 AND lcp@5 < 3000000 THEN lcp@5 END as __common_expr_1, CASE WHEN fmp@6 > 0 AND fmp@6 < 3000000 THEN fmp@6 END as __common_expr_2, CASE WHEN fcp@7 > 0 AND fcp@7 < 3000000 THEN fcp@7 END as __common_expr_3, CASE WHEN fp@8 > 0 AND fp@8 < 3000000 THEN fp@8 END as __common_expr_4, CASE WHEN tti@9 > 0 AND tti@9 < 3000000 THEN tti@9 END as __common_expr_5, CASE WHEN fid@10 > 0 AND fid@10 < 3000000 THEN fid@10 END as __common_expr_6, time@0 as time, env@1 as env, service_name@2 as service_name, city@3 as city, page@4 as page, shard_key@11 as shard_key] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: lcp@5 > 0 AND lcp@5 < 3000000 OR fmp@6 > 0 AND fmp@6 < 3000000 OR fcp@7 > 0 AND fcp@7 < 3000000 OR fp@8 > 0 AND fp@8 < 3000000 OR tti@9 > 0 AND tti@9 < 3000000 OR fid@10 > 0 AND fid@10 < 3000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -655,7 +603,6 @@ where
|_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -684,103 +631,86 @@ where
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 3_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 4_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 5_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 6_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 7_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 8_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 9_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 10_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 11_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 12_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 13_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 14_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 15_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(base_table.time)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/distributed/explain/subqueries.result
-37
View File
@@ -24,15 +24,10 @@ EXPLAIN SELECT * FROM integers WHERE i IN ((SELECT i FROM integers)) ORDER BY i;
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [i@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[i@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -60,16 +55,11 @@ EXPLAIN SELECT * FROM integers i1 WHERE EXISTS(SELECT i FROM integers WHERE i=i1
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [i@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[i@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: partitioning=REDACTED
|_|_ProjectionExec: expr=[i@0 as i]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -109,13 +99,10 @@ order by t.i desc;
|_|_SortExec: expr=[i@0 DESC], preserve_partitioning=[true]_|
|_|_CrossJoinExec_|
|_|_CoalescePartitionsExec_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_FilterExec: i@0 IS NOT NULL_|
|_|_ProjectionExec: expr=[i@0 as i]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_ProjectionExec: expr=[]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -187,12 +174,9 @@ EXPLAIN SELECT * FROM integers i1 WHERE EXISTS(SELECT i FROM integers WHERE i=i1
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [i@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[i@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_ProjectionExec: expr=[i@0 as i]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -221,13 +205,10 @@ EXPLAIN SELECT * FROM integers i1 WHERE EXISTS(SELECT count(i) FROM integers WHE
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [i@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[i@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_AggregateExec: mode=SinglePartitioned, gby=[i@0 as i], aggr=[]_|
|_|_ProjectionExec: expr=[i@0 as i]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -302,8 +283,6 @@ EXPLAIN SELECT x FROM (SELECT a AS x FROM t) sq ORDER BY x;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -343,8 +322,6 @@ EXPLAIN SELECT x, COUNT(*) AS c FROM (SELECT a AS x FROM t) sq GROUP BY x ORDER
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -382,7 +359,6 @@ EXPLAIN SELECT DISTINCT x FROM (SELECT a AS x FROM t) sq ORDER BY x;
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[x@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_AggregateExec: mode=SinglePartitioned, gby=[x@0 as x], aggr=[]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -417,8 +393,6 @@ EXPLAIN SELECT sq.x FROM (SELECT a AS x FROM t) sq ORDER BY sq.x;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -455,8 +429,6 @@ EXPLAIN SELECT y FROM (SELECT x AS y FROM (SELECT a AS x FROM t) sq1) sq2 ORDER
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [y@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -495,8 +467,6 @@ EXPLAIN SELECT x, x + 1 AS y FROM (SELECT a AS x FROM t) sq ORDER BY x;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -537,9 +507,7 @@ EXPLAIN SELECT a FROM ((SELECT a FROM t1) UNION ALL (SELECT a FROM t2)) u ORDER
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_InterleaveExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -584,11 +552,8 @@ ORDER BY u1.a;
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [a@0 ASC NULLS LAST]_|
|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -654,9 +619,7 @@ EXPLAIN SELECT x FROM (SELECT a AS x FROM t) sq ORDER BY x LIMIT 2;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [x@0 ASC NULLS LAST], fetch=2_|
|_|_CooperativeExec_|
|_|_SortExec: TopK(fetch=2), expr=[x@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/distributed/flow-tql/tsid_on_phy.result
+2 -4
View File
@@ -121,10 +121,8 @@ TQL EXPLAIN (
| | ]] |
| physical_plan | HistogramFoldExec: le=@0, field=@4, quantile=0.5 |
| | SortExec: expr=[tag4@1 ASC NULLS LAST, tag5@2 ASC NULLS LAST, ts@3 ASC NULLS LAST, CAST(le@0 AS Float64) ASC NULLS LAST], preserve_partitioning=[true] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | RepartitionExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
tests/cases/distributed/optimizer/count.result
-17
View File
@@ -139,7 +139,6 @@ select count(1) from count_where_bug where `tag` = 'b';
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -182,7 +181,6 @@ select count(1) from count_where_bug where ts > '2024-09-06T06:00:04Z';
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -223,9 +221,7 @@ select count(1) from count_where_bug where num != 3;
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(count_where_bug.ts)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -285,7 +281,6 @@ select count(1) from count_where_bug;
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[{count[count]:REDACTED} as __count_state(count_where_bug.ts)] REDACTED
@@ -321,13 +316,11 @@ select count(1) from count_where_bug where `tag` = 'b';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -349,13 +342,11 @@ select count(1) from count_where_bug where `tag` = 'b';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -387,19 +378,16 @@ select count(1) from count_where_bug where ts > '2024-09-06T06:00:04Z';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -429,23 +417,18 @@ select count(1) from count_where_bug where num != 3;
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/distributed/optimizer/filter_push_down.result
-1
View File
@@ -110,7 +110,6 @@ SELECT * FROM integers WHERE i NOT IN ((SELECT i FROM integers WHERE i=1)) ORDER
+---+-------------------------+
| 2 | 1970-01-01T00:00:00.002 |
| 3 | 1970-01-01T00:00:00.003 |
| | 1970-01-01T00:00:00.004 |
+---+-------------------------+
SELECT * FROM integers WHERE i IN ((SELECT i FROM integers)) AND i<3 ORDER BY i;
tests/cases/distributed/optimizer/first_value_advance.result
-53
View File
@@ -111,10 +111,8 @@ explain analyze
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -167,7 +165,6 @@ explain analyze
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -244,8 +241,6 @@ order by ordered_host;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -273,8 +268,6 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -282,10 +275,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -293,10 +284,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -304,10 +293,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -338,7 +325,6 @@ explain select first_value(ts order by ts) from t;
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -362,25 +348,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -430,10 +412,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -465,31 +445,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -553,7 +525,6 @@ explain
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -577,25 +548,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -640,8 +607,6 @@ order by ordered_host;
|_|_TableScan: t1_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -668,8 +633,6 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -677,10 +640,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -688,10 +649,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -699,10 +658,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -752,10 +709,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -787,31 +742,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/distributed/optimizer/last_value_advance.result
-53
View File
@@ -111,10 +111,8 @@ explain analyze
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -167,7 +165,6 @@ explain analyze
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -244,8 +241,6 @@ order by ordered_host;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -273,8 +268,6 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -282,10 +275,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -293,10 +284,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
@@ -304,10 +293,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -338,7 +325,6 @@ explain select last_value(ts order by ts) from t;
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -362,25 +348,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -430,10 +412,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -465,31 +445,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -553,7 +525,6 @@ explain
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -577,25 +548,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -640,8 +607,6 @@ order by ordered_host;
|_|_TableScan: t1_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -668,8 +633,6 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -677,10 +640,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -688,10 +649,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
@@ -699,10 +658,8 @@ order by ordered_host;
|_|_|_SortExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -752,10 +709,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -787,31 +742,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/distributed/optimizer/order_by.result
+69 -74
View File
@@ -2,103 +2,98 @@
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers;
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | CooperativeExec |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number desc;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC] |
| | CooperativeExec |
| | SortExec: expr=[number@0 DESC], preserve_partitioning=[true] |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC] |
| | CooperativeExec |
| | SortExec: expr=[number@0 DESC], preserve_partitioning=[true] |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number asc;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST] |
| | CooperativeExec |
| | SortExec: expr=[number@0 ASC NULLS LAST], preserve_partitioning=[true] |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST] |
| | CooperativeExec |
| | SortExec: expr=[number@0 ASC NULLS LAST], preserve_partitioning=[true] |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number desc limit 10;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC], fetch=10 |
| | CooperativeExec |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC], fetch=10 |
| | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | SortExec: TopK(fetch=10), expr=[number@0 DESC], preserve_partitioning=[false] |
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | SortExec: TopK(fetch=10), expr=[number@0 DESC], preserve_partitioning=[false] |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number asc limit 10;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST], fetch=10 |
| | CooperativeExec |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST], fetch=10 |
| | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | SortExec: TopK(fetch=10), expr=[number@0 ASC NULLS LAST], preserve_partitioning=[false] |
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | SortExec: TopK(fetch=10), expr=[number@0 ASC NULLS LAST], preserve_partitioning=[false] |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
tests/cases/distributed/optimizer/windowed_sort.result
-4
View File
@@ -73,7 +73,6 @@ ORDER BY
| 1_| 0_|_ProjectionExec: expr=[collect_time_utc@0 as collect_time, peak_current@1 as peak_current] REDACTED
|_|_|_SortPreservingMergeExec: [collect_time_utc@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[collect_time_utc@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -124,7 +123,6 @@ ORDER BY
| 1_| 0_|_ProjectionExec: expr=[collect_time_utc@0 as collect_time_0, peak_current@1 as peak_current] REDACTED
|_|_|_SortPreservingMergeExec: [collect_time_utc@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[collect_time_utc@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -178,7 +176,6 @@ ORDER BY
|_|_|_SortPreservingMergeExec: [collect_time@0 DESC] REDACTED
|_|_|_WindowedSortExec: expr=collect_time@0 DESC num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=collect_time@0 DESC num_ranges=REDACTED REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -233,7 +230,6 @@ ORDER BY
|_|_|_WindowedSortExec: expr=collect_time@1 DESC num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=collect_time@1 DESC num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[collect_time_utc@1 as collect_time_utc, collect_time@0 as collect_time, peak_current@2 as peak_current] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
tests/cases/distributed/tql-explain-analyze/analyze.result
-2
View File
@@ -160,7 +160,6 @@ TQL ANALYZE (0, 10, '5s') rate(test[10s]);
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[j@0 as j, prom_rate(j_range,i,test.j,Int64(10000))@1 as prom_rate(j_range,i,j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(j_range,i,test.j,Int64(10000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_rate(j_range@4, i@0, j@1, 10000) as prom_rate(j_range,i,test.j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[10000], time index=[j] REDACTED
@@ -170,7 +169,6 @@ TQL ANALYZE (0, 10, '5s') rate(test[10s]);
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[j@0 as j, prom_rate(j_range,i,test.j,Int64(10000))@1 as prom_rate(j_range,i,j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(j_range,i,test.j,Int64(10000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_rate(j_range@4, i@0, j@1, 10000) as prom_rate(j_range,i,test.j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[10000], time index=[j] REDACTED
tests/cases/standalone/common/aggregate/approx_percentile_cont_with_weight.result
+7 -7
View File
@@ -16,7 +16,7 @@ SELECT approx_percentile_cont_with_weight(weight, 0.5) WITHIN GROUP (ORDER BY "v
+---------------------------------------------------------------------------------------------------------------------+
| approx_percentile_cont_with_weight(weight_test.weight,Float64(0.5)) WITHIN GROUP [weight_test.value ASC NULLS LAST] |
+---------------------------------------------------------------------------------------------------------------------+
| 22 |
| 33 |
+---------------------------------------------------------------------------------------------------------------------+
-- Test different percentiles
@@ -25,7 +25,7 @@ SELECT approx_percentile_cont_with_weight(weight, 0.25) WITHIN GROUP (ORDER BY "
+----------------------------------------------------------------------------------------------------------------------+
| approx_percentile_cont_with_weight(weight_test.weight,Float64(0.25)) WITHIN GROUP [weight_test.value ASC NULLS LAST] |
+----------------------------------------------------------------------------------------------------------------------+
| 16 |
| 23 |
+----------------------------------------------------------------------------------------------------------------------+
SELECT approx_percentile_cont_with_weight(weight, 0.75) WITHIN GROUP (ORDER BY "value") FROM weight_test;
@@ -33,7 +33,7 @@ SELECT approx_percentile_cont_with_weight(weight, 0.75) WITHIN GROUP (ORDER BY "
+----------------------------------------------------------------------------------------------------------------------+
| approx_percentile_cont_with_weight(weight_test.weight,Float64(0.75)) WITHIN GROUP [weight_test.value ASC NULLS LAST] |
+----------------------------------------------------------------------------------------------------------------------+
| 44 |
| 40 |
+----------------------------------------------------------------------------------------------------------------------+
-- Test with groups
@@ -53,8 +53,8 @@ FROM weight_groups GROUP BY grp ORDER BY grp;
+-----+-------------------------------------------------------------------------------------------------------------------------+
| grp | approx_percentile_cont_with_weight(weight_groups.weight,Float64(0.5)) WITHIN GROUP [weight_groups.value ASC NULLS LAST] |
+-----+-------------------------------------------------------------------------------------------------------------------------+
| 1 | 12 |
| 2 | 162 |
| 1 | 18 |
| 2 | 212 |
+-----+-------------------------------------------------------------------------------------------------------------------------+
-- Test with double values and weights
@@ -72,7 +72,7 @@ SELECT approx_percentile_cont_with_weight("weight", 0.5) WITHIN GROUP (ORDER BY
+-------------------------------------------------------------------------------------------------------------------------+
| approx_percentile_cont_with_weight(weight_double.weight,Float64(0.5)) WITHIN GROUP [weight_double.value ASC NULLS LAST] |
+-------------------------------------------------------------------------------------------------------------------------+
| 3.3333333333333335 |
| 3.6666666666666665 |
+-------------------------------------------------------------------------------------------------------------------------+
-- Test edge cases
@@ -116,7 +116,7 @@ SELECT approx_percentile_cont_with_weight(weight, 0.5) WITHIN GROUP (ORDER BY "v
+---------------------------------------------------------------------------------------------------------------------+
| approx_percentile_cont_with_weight(weight_test.weight,Float64(0.5)) WITHIN GROUP [weight_test.value ASC NULLS LAST] |
+---------------------------------------------------------------------------------------------------------------------+
| 22 |
| 33 |
+---------------------------------------------------------------------------------------------------------------------+
-- Test empty result
tests/cases/standalone/common/aggregate/avg.result
+1 -3
View File
@@ -38,9 +38,7 @@ Affected Rows: 3
SELECT AVG(i), AVG(1), AVG(DISTINCT i), AVG(NULL) FROM integers;
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'avg' user-defined coercion failed with "Error during planning: Avg does not support inputs of type Null." No function matches the given name and argument types 'avg(Null)'. You might need to add explicit type casts.
Candidate functions:
avg(UserDefined)
Error: 3001(EngineExecuteQuery), Execution error: AvgAccumulator for (Null --> Float64)
SELECT AVG(i) FROM integers WHERE i > 100;
tests/cases/standalone/common/aggregate/distinct.result
+1 -18
View File
@@ -96,10 +96,8 @@ EXPLAIN ANALYZE SELECT DISTINCT a FROM test ORDER BY a;
| 1_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -123,10 +121,8 @@ EXPLAIN ANALYZE SELECT DISTINCT a, b FROM test ORDER BY a;
| 1_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -174,21 +170,16 @@ EXPLAIN ANALYZE SELECT DISTINCT a FROM test ORDER BY a;
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -208,25 +199,17 @@ EXPLAIN ANALYZE SELECT DISTINCT a, b FROM test ORDER BY a;
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [a@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[a@0 as a, b@1 as b], aggr=[] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
tests/cases/standalone/common/aggregate/multi_regions.result
-13
View File
@@ -32,18 +32,14 @@ select sum(val) from t group by host;
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[sum(t.val)@1 as sum(t.val)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[sum(t.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[sum(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_ProjectionExec: expr=[sum(t.val)@1 as sum(t.val)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[sum(t.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[sum(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -66,19 +62,16 @@ select sum(val) from t;
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[sum(t.val)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[sum(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -101,24 +94,18 @@ select sum(val) from t group by idc;
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[sum(t.val)@1 as sum(t.val)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[idc@0 as idc], aggr=[sum(t.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[idc@0 as idc], aggr=[sum(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[idc@0 as idc], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[idc@1 as idc], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[idc@0 as idc], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[idc@1 as idc], aggr=[__sum_state(t.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 0_|
tests/cases/standalone/common/create/metric_engine_partition.result
+1 -9
View File
@@ -149,7 +149,6 @@ select host, count(*) from logical_table_2 GROUP BY host ORDER BY host;
|_|_SortExec: expr=[host@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[host@0 as host, count(Int64(1))@1 as count(*)]_|
|_|_AggregateExec: mode=SinglePartitioned, gby=[host@0 as host], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -187,10 +186,8 @@ select ts, count(*) from logical_table_2 GROUP BY ts ORDER BY ts;
|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[ts@0 as ts, count(Int64(1))@1 as count(*)]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(Int64(1))]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -284,10 +281,8 @@ select a, count(*) from logical_table_3 GROUP BY a ORDER BY a;
|_|_SortExec: expr=[a@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[a@0 as a, count(Int64(1))@1 as count(*)]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[a@0 as a], aggr=[count(Int64(1))]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[a@0 as a], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -356,7 +351,7 @@ EXPLAIN select count(*) from logical_table_4;
| plan_type_| plan_|
+-+-+
| logical_plan_| Projection: count(Int64(1)) AS count(*)_|
|_|_Aggregate: groupBy=[[]], aggr=[[__count_merge(__count_state(logical_table_4.ts)) AS count(Int64(1))]]_|
|_|_Aggregate: groupBy=[[]], aggr=[[__count_merge(__count_state(logical_table_4.ts)) AS count(Int64(1))]] |
|_|_MergeScan [is_placeholder=false, remote_input=[_|
|_| Aggregate: groupBy=[[]], aggr=[[__count_state(logical_table_4.ts)]]_|
|_|_TableScan: logical_table_4_|
@@ -365,7 +360,6 @@ EXPLAIN select count(*) from logical_table_4;
|_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -403,10 +397,8 @@ select ts, count(*) from logical_table_4 GROUP BY ts ORDER BY ts;
|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true]_|
|_|_ProjectionExec: expr=[ts@0 as ts, count(Int64(1))@1 as count(*)]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(Int64(1))]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(Int64(1))]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/standalone/common/error/incorrect_sql.result
+6 -2
View File
@@ -18,9 +18,13 @@ Did you mean 'range_fn'?
-- Wrong aggregate parameters
SELECT SUM(42, 84, 11, 'hello');
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'sum' user-defined coercion failed with "Execution error: sum function requires 1 argument, got 4" No function matches the given name and argument types 'sum(Int64, Int64, Int64, Utf8)'. You might need to add explicit type casts.
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'sum' failed to match any signature, errors: Error during planning: Function 'sum' expects 1 arguments but received 4,Error during planning: Function 'sum' expects 1 arguments but received 4,Error during planning: Function 'sum' expects 1 arguments but received 4,Error during planning: Function 'sum' expects 1 arguments but received 4,Error during planning: Function 'sum' expects 1 arguments but received 4 No function matches the given name and argument types 'sum(Int64, Int64, Int64, Utf8)'. You might need to add explicit type casts.
Candidate functions:
sum(UserDefined)
sum(Coercion(TypeSignatureClass::Decimal))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(UInt64), UInt64)), implicit_coercion=ImplicitCoercion([Native(LogicalType(Native(UInt8), UInt8)), Native(LogicalType(Native(UInt16), UInt16)), Native(LogicalType(Native(UInt32), UInt32))], default_type=UInt64))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(Int64), Int64)), implicit_coercion=ImplicitCoercion([Native(LogicalType(Native(Int8), Int8)), Native(LogicalType(Native(Int16), Int16)), Native(LogicalType(Native(Int32), Int32))], default_type=Int64))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(Float64), Float64)), implicit_coercion=ImplicitCoercion([Float], default_type=Float64))
sum(Coercion(TypeSignatureClass::Duration))
-- No matching function signature
SELECT cos(0, 1, 2, 3);
tests/cases/standalone/common/flow/flow_advance_ttl.result
+2 -2
View File
@@ -1,6 +1,6 @@
-- test ttl = instant
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -159,7 +159,7 @@ Affected Rows: 0
-- test ttl = 5s
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_advance_ttl.sql
+2 -2
View File
@@ -1,6 +1,6 @@
-- test ttl = instant
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -65,7 +65,7 @@ DROP TABLE out_distinct_basic;
-- test ttl = 5s
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_auto_sink_table.result
+2 -2
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -96,7 +96,7 @@ DROP TABLE out_num_cnt_basic;
Affected Rows: 0
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_auto_sink_table.sql
+2 -2
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -34,7 +34,7 @@ DROP TABLE numbers_input_basic;
DROP TABLE out_num_cnt_basic;
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_basic.result
+7 -7
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -158,7 +158,7 @@ Affected Rows: 0
-- test count(*) rewrite
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -289,7 +289,7 @@ Affected Rows: 0
-- test distinct
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -1102,7 +1102,7 @@ Affected Rows: 0
CREATE TABLE ngx_access_log (
client STRING,
stat INT,
size INT,
"size" INT,
access_time TIMESTAMP TIME INDEX
)WITH(
append_mode = 'true'
@@ -1218,8 +1218,8 @@ FROM
| stat | bucket_size | total_logs | time_window |
+------+-------------+------------+---------------------+
| 200 | 100 | 1 | 1970-01-01T00:00:00 |
| 200 | 200 | 1 | 1970-01-01T00:00:00 |
| 200 | 210 | 3 | 1970-01-01T00:00:00 |
| 200 | 200 | 3 | 1970-01-01T00:00:00 |
| 200 | 210 | 1 | 1970-01-01T00:00:00 |
| 200 | 300 | 1 | 1970-01-01T00:00:00 |
+------+-------------+------------+---------------------+
@@ -1677,7 +1677,7 @@ DROP TABLE android_log;
Affected Rows: 0
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_basic.sql
+5 -5
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -69,7 +69,7 @@ DROP TABLE out_num_cnt_basic;
-- test count(*) rewrite
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -116,7 +116,7 @@ DROP TABLE input_basic;
-- test distinct
CREATE TABLE distinct_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -497,7 +497,7 @@ DROP TABLE temp_alerts;
CREATE TABLE ngx_access_log (
client STRING,
stat INT,
size INT,
"size" INT,
access_time TIMESTAMP TIME INDEX
)WITH(
append_mode = 'true'
@@ -784,7 +784,7 @@ DROP TABLE android_log_abnormal;
DROP TABLE android_log;
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_call_df_func.result
+4 -4
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -98,7 +98,7 @@ DROP TABLE out_num_cnt_df_func;
Affected Rows: 0
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -196,7 +196,7 @@ Affected Rows: 0
-- test date_bin
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -292,7 +292,7 @@ Affected Rows: 0
-- test date_trunc
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_call_df_func.sql
+4 -4
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -45,7 +45,7 @@ DROP TABLE numbers_input_df_func;
DROP TABLE out_num_cnt_df_func;
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -90,7 +90,7 @@ DROP TABLE out_num_cnt_df_func;
-- test date_bin
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -134,7 +134,7 @@ DROP TABLE out_num_cnt_df_func;
-- test date_trunc
CREATE TABLE numbers_input_df_func (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_flush.result
+1 -1
View File
@@ -1,6 +1,6 @@
-- test if flush_flow works and flush old data to flow for compute
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_flush.sql
+1 -1
View File
@@ -1,6 +1,6 @@
-- test if flush_flow works and flush old data to flow for compute
CREATE TABLE numbers_input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_rebuild.result
+8 -8
View File
@@ -1,5 +1,5 @@
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -56,7 +56,7 @@ Affected Rows: 0
-- combination of different order of rebuild input table/flow
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -102,7 +102,7 @@ DROP TABLE input_basic;
Affected Rows: 0
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -198,7 +198,7 @@ DROP TABLE out_basic;
Affected Rows: 0
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -295,7 +295,7 @@ DROP FLOW test_wildcard_basic;
Affected Rows: 0
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -362,7 +362,7 @@ Affected Rows: 0
-- combination of different order of rebuild input table/flow
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -420,7 +420,7 @@ DROP TABLE input_basic;
Affected Rows: 0
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -540,7 +540,7 @@ DROP TABLE out_basic;
Affected Rows: 0
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_rebuild.sql
+8 -8
View File
@@ -1,5 +1,5 @@
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -33,7 +33,7 @@ DROP FLOW test_wildcard_basic;
-- combination of different order of rebuild input table/flow
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -59,7 +59,7 @@ SELECT wildcard FROM out_basic;
DROP TABLE input_basic;
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -107,7 +107,7 @@ DROP FLOW test_wildcard_basic;
DROP TABLE out_basic;
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -159,7 +159,7 @@ DROP TABLE out_basic;
DROP FLOW test_wildcard_basic;
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -197,7 +197,7 @@ DROP FLOW test_wildcard_basic;
-- combination of different order of rebuild input table/flow
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -229,7 +229,7 @@ SELECT wildcard FROM out_basic;
DROP TABLE input_basic;
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -289,7 +289,7 @@ DROP FLOW test_wildcard_basic;
DROP TABLE out_basic;
CREATE TABLE input_basic (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
tests/cases/standalone/common/flow/flow_user_guide.result
+1 -1
View File
@@ -497,7 +497,7 @@ Affected Rows: 0
CREATE TABLE ngx_access_log (
client STRING,
stat INT,
size INT,
"size" INT,
access_time TIMESTAMP TIME INDEX
);
tests/cases/standalone/common/flow/flow_user_guide.sql
+1 -1
View File
@@ -353,7 +353,7 @@ DROP TABLE temp_alerts;
CREATE TABLE ngx_access_log (
client STRING,
stat INT,
size INT,
"size" INT,
access_time TIMESTAMP TIME INDEX
);
tests/cases/standalone/common/flow/show_create_flow.result
+4 -4
View File
@@ -1,5 +1,5 @@
CREATE TABLE numbers_input_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -8,7 +8,7 @@ CREATE TABLE numbers_input_show (
Affected Rows: 0
create table out_num_cnt_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP TIME INDEX,
PRIMARY KEY(number),
);
@@ -350,7 +350,7 @@ drop table numbers_input_show;
Affected Rows: 0
CREATE TABLE numbers_input_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
@@ -359,7 +359,7 @@ CREATE TABLE numbers_input_show (
Affected Rows: 0
create table out_num_cnt_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP TIME INDEX,
PRIMARY KEY(number),
);
tests/cases/standalone/common/flow/show_create_flow.sql
+4 -4
View File
@@ -1,11 +1,11 @@
CREATE TABLE numbers_input_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
);
create table out_num_cnt_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP TIME INDEX,
PRIMARY KEY(number),
);
@@ -130,13 +130,13 @@ drop table out_num_cnt_show;
drop table numbers_input_show;
CREATE TABLE numbers_input_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY(number),
TIME INDEX(ts)
);
create table out_num_cnt_show (
number INT,
"number" INT,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP TIME INDEX,
PRIMARY KEY(number),
);
tests/cases/standalone/common/function/arithmetic.result
+1 -1
View File
@@ -31,7 +31,7 @@ SELECT POW (2, 5);
+------------------------+
| pow(Int64(2),Int64(5)) |
+------------------------+
| 32 |
| 32.0 |
+------------------------+
SELECT POW (1.01, 365);
tests/cases/standalone/common/function/vector/vector_index.result
+1 -1
View File
@@ -332,7 +332,7 @@ Affected Rows: 0
-- ============================================
CREATE TABLE vectors_filter (
vec_id INT,
category STRING,
"category" STRING,
ts TIMESTAMP TIME INDEX,
embedding VECTOR(4) NOT NULL VECTOR INDEX WITH (metric = 'l2sq'),
PRIMARY KEY (vec_id)
tests/cases/standalone/common/function/vector/vector_index.sql
+1 -1
View File
@@ -197,7 +197,7 @@ DROP TABLE vectors_mixed;
CREATE TABLE vectors_filter (
vec_id INT,
category STRING,
"category" STRING,
ts TIMESTAMP TIME INDEX,
embedding VECTOR(4) NOT NULL VECTOR INDEX WITH (metric = 'l2sq'),
PRIMARY KEY (vec_id)
tests/cases/standalone/common/function/vector/vector_index_explain.result
-8
View File
@@ -56,7 +56,6 @@ LIMIT 2;
| 1_| 0_|_ProjectionExec: expr=[vec_id@0 as vec_id] metrics=REDACTED_|
|_|_|_SortPreservingMergeExec: [vec_l2sq_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], fetch=2 metrics=REDACTED_|
|_|_|_SortExec: TopK(fetch=2), expr=[vec_l2sq_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], preserve_partitioning=[true] metrics=REDACTED_|
|_|_|_CooperativeExec metrics=REDACTED_|
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["vec_id", "embedding"], "vector_index_k": 2, "files": [{"file_id":"REDACTED","time_range_start":"REDACTED","time_range_end":"REDACTED","rows":4,"size":REDACTED,"index_size":893}], "flat_format":REDACTED, "metrics_per_partition": REDACTED metrics=REDACTED |
|_|_|_|
|_|_| Total rows: REDACTED_|
@@ -136,17 +135,12 @@ LIMIT 1;
| 0_| 0_|_ProjectionExec: expr=[vec_id@0 as vec_id] metrics=REDACTED_|
|_|_|_SortPreservingMergeExec: [vec_l2sq_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], fetch=1 metrics=REDACTED_|
|_|_|_SortExec: TopK(fetch=1), expr=[vec_l2sq_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], preserve_partitioning=[true] metrics=REDACTED_|
|_|_|_CoalesceBatchesExec: target_batch_size=8192 metrics=REDACTED_|
|_|_|_HashJoinExec: mode=Partitioned, join_type=Inner, on=[(vec_id@0, vec_id@0)], projection=[vec_id@0, embedding@1] metrics=REDACTED_|
|_|_|_CoalesceBatchesExec: target_batch_size=8192 metrics=REDACTED_|
|_|_|_RepartitionExec: partitioning=Hash([vec_id@0],REDACTED
|_|_|_ProjectionExec: expr=[vec_id@0 as vec_id, embedding@2 as embedding] metrics=REDACTED_|
|_|_|_CooperativeExec metrics=REDACTED_|
|_|_|_MergeScanExec: REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 metrics=REDACTED_|
|_|_|_RepartitionExec: partitioning=Hash([vec_id@0],REDACTED
|_|_|_ProjectionExec: expr=[vec_id@0 as vec_id] metrics=REDACTED_|
|_|_|_CooperativeExec metrics=REDACTED_|
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CooperativeExec metrics=REDACTED_|
@@ -223,7 +217,6 @@ LIMIT 2;
| 1_| 0_|_ProjectionExec: expr=[vec_id@0 as vec_id] metrics=REDACTED_|
|_|_|_SortPreservingMergeExec: [vec_cos_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], fetch=2 metrics=REDACTED_|
|_|_|_SortExec: TopK(fetch=2), expr=[vec_cos_distance(embedding@1, [1.0, 0.0]) ASC NULLS LAST, vec_id@0 ASC NULLS LAST], preserve_partitioning=[true] metrics=REDACTED_|
|_|_|_CooperativeExec metrics=REDACTED_|
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["vec_id", "embedding"], "vector_index_k": 2, "files": [{"file_id":"REDACTED","time_range_start":"REDACTED","time_range_end":"REDACTED","rows":4,"size":REDACTED,"index_size":895}], "flat_format":REDACTED, "metrics_per_partition": REDACTED metrics=REDACTED |
|_|_|_|
|_|_| Total rows: REDACTED_|
@@ -258,7 +251,6 @@ LIMIT 2;
| 1_| 0_|_ProjectionExec: expr=[vec_id@0 as vec_id] metrics=REDACTED_|
|_|_|_SortPreservingMergeExec: [vec_dot_product(embedding@1, [1.0, 0.0]) DESC, vec_id@0 ASC NULLS LAST], fetch=2 metrics=REDACTED_|
|_|_|_SortExec: TopK(fetch=2), expr=[vec_dot_product(embedding@1, [1.0, 0.0]) DESC, vec_id@0 ASC NULLS LAST], preserve_partitioning=[true] metrics=REDACTED_|
|_|_|_CooperativeExec metrics=REDACTED_|
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["vec_id", "embedding"], "vector_index_k": 2, "files": [{"file_id":"REDACTED","time_range_start":"REDACTED","time_range_end":"REDACTED","rows":4,"size":REDACTED,"index_size":895}], "flat_format":REDACTED, "metrics_per_partition": REDACTED metrics=REDACTED |
|_|_|_|
|_|_| Total rows: REDACTED_|
tests/cases/standalone/common/join/join_distinct.result
+1 -1
View File
@@ -1,5 +1,5 @@
-- Tests joins with DISTINCT operations
CREATE TABLE products_dist(prod_id INTEGER, prod_name VARCHAR, category VARCHAR, ts TIMESTAMP TIME INDEX);
CREATE TABLE products_dist(prod_id INTEGER, prod_name VARCHAR, "category" VARCHAR, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
tests/cases/standalone/common/join/join_distinct.sql
+1 -1
View File
@@ -1,6 +1,6 @@
-- Tests joins with DISTINCT operations
CREATE TABLE products_dist(prod_id INTEGER, prod_name VARCHAR, category VARCHAR, ts TIMESTAMP TIME INDEX);
CREATE TABLE products_dist(prod_id INTEGER, prod_name VARCHAR, "category" VARCHAR, ts TIMESTAMP TIME INDEX);
CREATE TABLE sales_dist(sale_id INTEGER, prod_id INTEGER, customer VARCHAR, ts TIMESTAMP TIME INDEX);
tests/cases/standalone/common/join/join_null_handling.result
+2 -2
View File
@@ -1,10 +1,10 @@
-- Migrated from DuckDB test: test/sql/join/ NULL handling tests
-- Tests join behavior with NULL values
CREATE TABLE table_with_nulls("id" INTEGER, "value" VARCHAR, category INTEGER, ts TIMESTAMP TIME INDEX);
CREATE TABLE table_with_nulls("id" INTEGER, "value" VARCHAR, "category" INTEGER, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
CREATE TABLE lookup_table(category INTEGER, cat_name VARCHAR, priority INTEGER, ts TIMESTAMP TIME INDEX);
CREATE TABLE lookup_table("category" INTEGER, cat_name VARCHAR, priority INTEGER, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
tests/cases/standalone/common/join/join_null_handling.sql
+2 -2
View File
@@ -1,9 +1,9 @@
-- Migrated from DuckDB test: test/sql/join/ NULL handling tests
-- Tests join behavior with NULL values
CREATE TABLE table_with_nulls("id" INTEGER, "value" VARCHAR, category INTEGER, ts TIMESTAMP TIME INDEX);
CREATE TABLE table_with_nulls("id" INTEGER, "value" VARCHAR, "category" INTEGER, ts TIMESTAMP TIME INDEX);
CREATE TABLE lookup_table(category INTEGER, cat_name VARCHAR, priority INTEGER, ts TIMESTAMP TIME INDEX);
CREATE TABLE lookup_table("category" INTEGER, cat_name VARCHAR, priority INTEGER, ts TIMESTAMP TIME INDEX);
INSERT INTO table_with_nulls VALUES
(1, 'item1', 1, 1000), (2, 'item2', NULL, 2000), (3, 'item3', 2, 3000),
tests/cases/standalone/common/join/multiple_joins.result
+1 -1
View File
@@ -8,7 +8,7 @@ CREATE TABLE orders_multi("id" INTEGER, customer_id INTEGER, product_id INTEGER,
Affected Rows: 0
CREATE TABLE products_multi("id" INTEGER, "name" VARCHAR, category VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
CREATE TABLE products_multi("id" INTEGER, "name" VARCHAR, "category" VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
Affected Rows: 0
tests/cases/standalone/common/join/multiple_joins.sql
+1 -1
View File
@@ -5,7 +5,7 @@ CREATE TABLE customers_multi("id" INTEGER, "name" VARCHAR, city VARCHAR, ts TIME
CREATE TABLE orders_multi("id" INTEGER, customer_id INTEGER, product_id INTEGER, amount DOUBLE, ts TIMESTAMP TIME INDEX);
CREATE TABLE products_multi("id" INTEGER, "name" VARCHAR, category VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
CREATE TABLE products_multi("id" INTEGER, "name" VARCHAR, "category" VARCHAR, price DOUBLE, ts TIMESTAMP TIME INDEX);
INSERT INTO customers_multi VALUES (1, 'Alice', 'NYC', 1000), (2, 'Bob', 'LA', 2000), (3, 'Carol', 'Chicago', 3000);
tests/cases/standalone/common/order/limit.result
+1 -1
View File
@@ -45,7 +45,7 @@ Error: 3000(PlanQuery), Failed to plan SQL: No field named a.
SELECT a FROM test LIMIT SUM(42);
Error: 1001(Unsupported), This feature is not implemented: Unsupported LIMIT expression: Some(AggregateFunction(AggregateFunction { func: AggregateUDF { inner: Sum { signature: Signature { type_signature: UserDefined, volatility: Immutable, parameter_names: None } } }, params: AggregateFunctionParams { args: [Literal(Int64(42), None)], distinct: false, filter: None, order_by: [], null_treatment: None } }))
Error: 1001(Unsupported), This feature is not implemented: Unsupported LIMIT expression: Some(AggregateFunction(AggregateFunction { func: AggregateUDF { inner: Sum { signature: Signature { type_signature: OneOf([Coercible([Exact { desired_type: Decimal }]), Coercible([Implicit { desired_type: Native(LogicalType(Native(UInt64), UInt64)), implicit_coercion: ImplicitCoercion { allowed_source_types: [Native(LogicalType(Native(UInt8), UInt8)), Native(LogicalType(Native(UInt16), UInt16)), Native(LogicalType(Native(UInt32), UInt32))], default_casted_type: UInt64 } }]), Coercible([Implicit { desired_type: Native(LogicalType(Native(Int64), Int64)), implicit_coercion: ImplicitCoercion { allowed_source_types: [Native(LogicalType(Native(Int8), Int8)), Native(LogicalType(Native(Int16), Int16)), Native(LogicalType(Native(Int32), Int32))], default_casted_type: Int64 } }]), Coercible([Implicit { desired_type: Native(LogicalType(Native(Float64), Float64)), implicit_coercion: ImplicitCoercion { allowed_source_types: [Float], default_casted_type: Float64 } }]), Coercible([Exact { desired_type: Duration }])]), volatility: Immutable, parameter_names: None } } }, params: AggregateFunctionParams { args: [Literal(Int64(42), None)], distinct: false, filter: None, order_by: [], null_treatment: None } }))
SELECT a FROM test LIMIT row_number() OVER ();
tests/cases/standalone/common/order/order_by.result
-4
View File
@@ -295,23 +295,19 @@ explain analyze select tag from t where num > 6 order by ts desc limit 2;
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[tag@0 as tag] REDACTED
|_|_|_SortPreservingMergeExec: [ts@1 DESC], fetch=2 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SortExec: TopK(fetch=2), expr=[ts@1 DESC], preserve_partitioning=[true], filter=[ts@1 IS NULL OR ts@1 > 6000] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ts@1 DESC], fetch=2 REDACTED
|_|_|_WindowedSortExec: expr=ts@1 DESC num_ranges=REDACTED fetch=2 REDACTED
|_|_|_PartSortExec: expr=ts@1 DESC num_ranges=REDACTED limit=2 REDACTED
|_|_|_FilterExec: num@2 > 6, projection=[tag@0, ts@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [ts@1 DESC], fetch=2 REDACTED
|_|_|_WindowedSortExec: expr=ts@1 DESC num_ranges=REDACTED fetch=2 REDACTED
|_|_|_PartSortExec: expr=ts@1 DESC num_ranges=REDACTED limit=2 REDACTED
|_|_|_FilterExec: num@2 > 6, projection=[tag@0, ts@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/standalone/common/order/order_by_exceptions.result
+5 -8
View File
@@ -80,14 +80,11 @@ EXPLAIN SELECT a % 2, b FROM test UNION SELECT a % 2 AS k, b FROM test ORDER BY
| | ]] |
| physical_plan | CoalescePartitionsExec |
| | AggregateExec: mode=FinalPartitioned, gby=[test.a % Int64(2)@0 as test.a % Int64(2), b@1 as b], aggr=[] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | AggregateExec: mode=Partial, gby=[test.a % Int64(2)@0 as test.a % Int64(2), b@1 as b], aggr=[] |
| | InterleaveExec |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | RepartitionExec: REDACTED
| | AggregateExec: mode=Partial, gby=[test.a % Int64(2)@0 as test.a % Int64(2), b@1 as b], aggr=[] |
| | InterleaveExec |
| | MergeScanExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+-----------------------------------------------------------------------------------------------------------+
tests/cases/standalone/common/order/windowed_sort.result
-10
View File
@@ -71,7 +71,6 @@ EXPLAIN ANALYZE SELECT * FROM test ORDER BY t LIMIT 5;
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [t@1 ASC NULLS LAST], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@1 ASC NULLS LAST num_ranges=REDACTED fetch=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -106,7 +105,6 @@ EXPLAIN ANALYZE SELECT * FROM test ORDER BY t DESC LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@1 DESC], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@1 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@1 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -141,7 +139,6 @@ EXPLAIN ANALYZE SELECT * FROM test where i > 2 ORDER BY t LIMIT 4;
| 1_| 0_|_SortPreservingMergeExec: [t@1 ASC NULLS LAST], fetch=4 REDACTED
|_|_|_WindowedSortExec: expr=t@1 ASC NULLS LAST num_ranges=REDACTED fetch=4 REDACTED
|_|_|_FilterExec: i@0 > 2 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -177,7 +174,6 @@ EXPLAIN ANALYZE SELECT * FROM test where i > 2 ORDER BY t DESC LIMIT 4;
|_|_|_WindowedSortExec: expr=t@1 DESC num_ranges=REDACTED fetch=4 REDACTED
|_|_|_PartSortExec: expr=t@1 DESC num_ranges=REDACTED limit=4 REDACTED
|_|_|_FilterExec: i@0 > 2 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -212,7 +208,6 @@ EXPLAIN ANALYZE SELECT * FROM test where t > 8 ORDER BY t DESC LIMIT 4;
| 1_| 0_|_SortPreservingMergeExec: [t@1 DESC], fetch=4 REDACTED
|_|_|_WindowedSortExec: expr=t@1 DESC num_ranges=REDACTED fetch=4 REDACTED
|_|_|_PartSortExec: expr=t@1 DESC num_ranges=REDACTED limit=4 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":2, "mem_ranges":1, "files":1, "file_ranges":1} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -296,7 +291,6 @@ EXPLAIN ANALYZE SELECT * FROM test_pk ORDER BY t LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@2 ASC NULLS LAST], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -320,7 +314,6 @@ EXPLAIN ANALYZE VERBOSE SELECT * FROM test_pk ORDER BY t LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@2 ASC NULLS LAST], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":4, "mem_ranges":1, "REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -355,7 +348,6 @@ EXPLAIN ANALYZE SELECT * FROM test_pk ORDER BY t DESC LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@2 DESC], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@2 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@2 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -391,7 +383,6 @@ EXPLAIN ANALYZE SELECT * FROM test_pk where pk > 7 ORDER BY t LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@2 ASC NULLS LAST], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":4, "mem_ranges":1, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -415,7 +406,6 @@ EXPLAIN ANALYZE VERBOSE SELECT * FROM test_pk where pk > 7 ORDER BY t LIMIT 5;
| 1_| 0_|_SortPreservingMergeExec: [t@2 ASC NULLS LAST], fetch=5 REDACTED
|_|_|_WindowedSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=t@2 ASC NULLS LAST num_ranges=REDACTED limit=5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":4, "mem_ranges":1, "REDACTED
|_|_|_|
|_|_| Total rows: 5_|
tests/cases/standalone/common/partition.result
+15 -30
View File
@@ -319,28 +319,23 @@ WHERE a = 10 OR b= 'z';
| 0_| 0_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
| 1_| 0_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
| 1_| 1_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 2_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
| 1_| 2_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 3_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
| 1_| 3_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 4_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
| 1_| 4_|_FilterExec: a@0 = 10 OR b@1 = z REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
@@ -363,28 +358,23 @@ WHERE a = 10 OR ts > 1;
| 0_| 0_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
| 1_| 0_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
| 1_| 1_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 2_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
| 1_| 2_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 3_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
| 1_| 3_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 4_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
| 1_| 4_|_FilterExec: a@0 = 10 OR ts@2 > 1 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
@@ -407,28 +397,23 @@ WHERE a = 10 OR (ts > 1 AND b ='h');
| 0_| 0_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
| 1_| 0_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
| 1_| 1_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 2_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
| 1_| 2_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 3_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
| 1_| 3_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 4_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
| 1_| 4_|_FilterExec: a@0 = 10 OR ts@2 > 1 AND b@1 = h REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0} REDACTED
|_|_|_|
tests/cases/standalone/common/promql/histogram_multi_partition.result
-7
View File
@@ -43,33 +43,26 @@ tql analyze (0, 10, '10s') histogram_quantile(0.5, sum by (le) (histogram_gap_bu
+-+-+-+
| 0_| 0_|_HistogramFoldExec: le=@0, field=@2, quantile=0.5 REDACTED
|_|_|_SortExec: expr=[ts@1 ASC NULLS LAST, CAST(le@0 AS Float64) ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=Hash([ts@1],REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[le@0 as le, ts@1 as ts], aggr=[sum(histogram_gap_bucket.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=Hash([le@0, ts@1],REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[le@0 as le, ts@1 as ts], aggr=[sum(histogram_gap_bucket.val)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[le@0 as le, ts@1 as ts], aggr=[__sum_state(histogram_gap_bucket.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=Hash([le@0, ts@1],REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[le@1 as le, ts@0 as ts], aggr=[__sum_state(histogram_gap_bucket.val)] REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, le@1 as le, val@3 as val] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[10000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["shard", "le"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[le@0 as le, ts@1 as ts], aggr=[__sum_state(histogram_gap_bucket.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=Hash([le@0, ts@1],REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[le@1 as le, ts@0 as ts], aggr=[__sum_state(histogram_gap_bucket.val)] REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, le@1 as le, val@3 as val] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[10000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["shard", "le"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/standalone/common/promql/math.result
+4 -2
View File
@@ -170,8 +170,10 @@ Error: 2000(InvalidSyntax), expected type vector in call to function 'rad', got
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 20, '5s') deg(angles{unit="radians"}) + rad(angles{unit="degrees"});
++
++
+------+----+-------------------------------------+
| unit | ts | lhs.degrees(val) + rhs.radians(val) |
+------+----+-------------------------------------+
+------+----+-------------------------------------+
-- SQLNESS SORT_RESULT 3 1
TQL EVAL (0, 20, '5s') deg(pi() * 2);
tests/cases/standalone/common/promql/regex.result
-1
View File
@@ -121,7 +121,6 @@ TQL ANALYZE VERBOSE (0, 0, '1s') test{host!~".*"};
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_PromInstantManipulateExec: range=[0..0], lookback=[300000], interval=[1000], time index=[ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_PromSeriesDivideExec: tags=["host"] REDACTED
|_|_|_SortExec: expr=[host@1 ASC, ts@0 ASC], preserve_partitioning=[false] REDACTED
tests/cases/standalone/common/promql/tsid_histogram_quantile_regression.result
-2
View File
@@ -110,9 +110,7 @@ TQL ANALYZE (0, 10, '5s') histogram_quantile(0.5, tsid_no_aggr_histogram_bucket)
+-+-+-+
| 0_| 0_|_HistogramFoldExec: le=@2, field=@0, quantile=0.5 REDACTED
|_|_|_SortExec: expr=[job@1 ASC NULLS LAST, ts@3 ASC NULLS LAST, CAST(le@2 AS Float64) ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[val@0 as val, job@1 as job, le@2 as le, ts@4 as ts] REDACTED
tests/cases/standalone/common/range/nest.result
-2
View File
@@ -62,7 +62,6 @@ EXPLAIN SELECT ts, host, min(val) RANGE '5s' FROM host ALIGN '5s';
|_| ]]_|
| physical_plan | RangeSelectExec: range_expr=[min(host.val) RANGE 5s], align=5000ms, align_to=0ms, align_by=[host@1], time_index=ts |
|_|_CoalescePartitionsExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -79,7 +78,6 @@ EXPLAIN ANALYZE SELECT ts, host, min(val) RANGE '5s' FROM host ALIGN '5s';
+-+-+-+
| 0_| 0_|_RangeSelectExec: range_expr=[min(host.val) RANGE 5s], align=5000ms, align_to=0ms, align_by=[host@1], time_index=ts REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CooperativeExec REDACTED
tests/cases/standalone/common/select/skipping_index.result
-4
View File
@@ -61,9 +61,7 @@ EXPLAIN ANALYZE SELECT * FROM skipping_table WHERE id = 'id2' ORDER BY `name`;
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [name@2 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[name@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: id@1 = id2 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":3, "mem_ranges":0, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -85,9 +83,7 @@ EXPLAIN ANALYZE SELECT * FROM skipping_table WHERE id = 'id5' ORDER BY `name`;
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [name@2 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[name@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: id@1 = id5 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":3, "mem_ranges":0, "files":3, "file_ranges":3} REDACTED
|_|_|_|
|_|_| Total rows: 0_|
tests/cases/standalone/common/tql-explain-analyze/explain.result
+20 -14
View File
@@ -99,7 +99,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
|_| ]]_|
| logical_plan after FixStateUdafOrderingAnalyzer_| SAME TEXT AS ABOVE_|
| analyzed_logical_plan_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_nested_union_| SAME TEXT AS ABOVE_|
| logical_plan after rewrite_set_comparison_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_unions_| SAME TEXT AS ABOVE_|
| logical_plan after simplify_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after replace_distinct_aggregate_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_join_| SAME TEXT AS ABOVE_|
@@ -112,7 +113,6 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| logical_plan after eliminate_cross_join_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_limit_| SAME TEXT AS ABOVE_|
| logical_plan after propagate_empty_relation_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_one_union_| SAME TEXT AS ABOVE_|
| logical_plan after filter_null_join_keys_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_outer_join_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_limit_| SAME TEXT AS ABOVE_|
@@ -120,6 +120,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| logical_plan after single_distinct_aggregation_to_group_by | SAME TEXT AS ABOVE_|
| logical_plan after eliminate_group_by_constant_| SAME TEXT AS ABOVE_|
| logical_plan after common_sub_expression_eliminate_| SAME TEXT AS ABOVE_|
| logical_plan after extract_leaf_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_leaf_projections_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_projections_| MergeScan [is_placeholder=false, remote_input=[_|
|_| PromInstantManipulate: range=[0..10000], lookback=[300000], interval=[5000], time index=[j]_|
|_|_PromSeriesDivide: tags=["k"]_|
@@ -128,7 +130,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
|_|_TableScan: test_|
|_| ]]_|
| logical_plan after ScanHintRule_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_nested_union_| SAME TEXT AS ABOVE_|
| logical_plan after rewrite_set_comparison_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_unions_| SAME TEXT AS ABOVE_|
| logical_plan after simplify_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after replace_distinct_aggregate_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_join_| SAME TEXT AS ABOVE_|
@@ -141,7 +144,6 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| logical_plan after eliminate_cross_join_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_limit_| SAME TEXT AS ABOVE_|
| logical_plan after propagate_empty_relation_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_one_union_| SAME TEXT AS ABOVE_|
| logical_plan after filter_null_join_keys_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_outer_join_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_limit_| SAME TEXT AS ABOVE_|
@@ -149,6 +151,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| logical_plan after single_distinct_aggregation_to_group_by | SAME TEXT AS ABOVE_|
| logical_plan after eliminate_group_by_constant_| SAME TEXT AS ABOVE_|
| logical_plan after common_sub_expression_eliminate_| SAME TEXT AS ABOVE_|
| logical_plan after extract_leaf_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_leaf_projections_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_projections_| SAME TEXT AS ABOVE_|
| logical_plan after ScanHintRule_| SAME TEXT AS ABOVE_|
| logical_plan_| MergeScan [is_placeholder=false, remote_input=[_|
@@ -179,14 +183,13 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| physical_plan after EnforceSorting_| SAME TEXT AS ABOVE_|
| physical_plan after OptimizeAggregateOrder_| SAME TEXT AS ABOVE_|
| physical_plan after ProjectionPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after coalesce_batches_| SAME TEXT AS ABOVE_|
| physical_plan after coalesce_async_exec_input_| SAME TEXT AS ABOVE_|
| physical_plan after OutputRequirements_| MergeScanExec: REDACTED
|_|_|
| physical_plan after LimitAggregation_| SAME TEXT AS ABOVE_|
| physical_plan after LimitPushPastWindows_| SAME TEXT AS ABOVE_|
| physical_plan after LimitPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after ProjectionPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after PushdownSort_| SAME TEXT AS ABOVE_|
| physical_plan after EnsureCooperative_| CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
@@ -201,7 +204,7 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test;
| physical_plan_with_stats_| CooperativeExec, statistics=[Rows=Absent, Bytes=Absent, [(Col[0]:),(Col[1]:),(Col[2]:)]]_|
|_|_MergeScanExec: REDACTED
|_|_|
| physical_plan_with_schema_| CooperativeExec, schema=[i:Float64;N, j:Timestamp(Millisecond, None), k:Utf8;N]_|
| physical_plan_with_schema_| CooperativeExec, schema=[i:Float64;N, j:Timestamp(ms), k:Utf8;N]_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -239,7 +242,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
|_| ]]_|
| logical_plan after FixStateUdafOrderingAnalyzer_| SAME TEXT AS ABOVE_|
| analyzed_logical_plan_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_nested_union_| SAME TEXT AS ABOVE_|
| logical_plan after rewrite_set_comparison_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_unions_| SAME TEXT AS ABOVE_|
| logical_plan after simplify_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after replace_distinct_aggregate_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_join_| SAME TEXT AS ABOVE_|
@@ -252,7 +256,6 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| logical_plan after eliminate_cross_join_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_limit_| SAME TEXT AS ABOVE_|
| logical_plan after propagate_empty_relation_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_one_union_| SAME TEXT AS ABOVE_|
| logical_plan after filter_null_join_keys_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_outer_join_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_limit_| SAME TEXT AS ABOVE_|
@@ -260,6 +263,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| logical_plan after single_distinct_aggregation_to_group_by | SAME TEXT AS ABOVE_|
| logical_plan after eliminate_group_by_constant_| SAME TEXT AS ABOVE_|
| logical_plan after common_sub_expression_eliminate_| SAME TEXT AS ABOVE_|
| logical_plan after extract_leaf_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_leaf_projections_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_projections_| MergeScan [is_placeholder=false, remote_input=[_|
|_| Projection: test.i AS series, test.k, test.j_|
|_|_PromInstantManipulate: range=[0..10000], lookback=[300000], interval=[5000], time index=[j]_|
@@ -269,7 +274,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
|_|_TableScan: test_|
|_| ]]_|
| logical_plan after ScanHintRule_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_nested_union_| SAME TEXT AS ABOVE_|
| logical_plan after rewrite_set_comparison_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_unions_| SAME TEXT AS ABOVE_|
| logical_plan after simplify_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after replace_distinct_aggregate_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_join_| SAME TEXT AS ABOVE_|
@@ -282,7 +288,6 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| logical_plan after eliminate_cross_join_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_limit_| SAME TEXT AS ABOVE_|
| logical_plan after propagate_empty_relation_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_one_union_| SAME TEXT AS ABOVE_|
| logical_plan after filter_null_join_keys_| SAME TEXT AS ABOVE_|
| logical_plan after eliminate_outer_join_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_limit_| SAME TEXT AS ABOVE_|
@@ -290,6 +295,8 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| logical_plan after single_distinct_aggregation_to_group_by | SAME TEXT AS ABOVE_|
| logical_plan after eliminate_group_by_constant_| SAME TEXT AS ABOVE_|
| logical_plan after common_sub_expression_eliminate_| SAME TEXT AS ABOVE_|
| logical_plan after extract_leaf_expressions_| SAME TEXT AS ABOVE_|
| logical_plan after push_down_leaf_projections_| SAME TEXT AS ABOVE_|
| logical_plan after optimize_projections_| SAME TEXT AS ABOVE_|
| logical_plan after ScanHintRule_| SAME TEXT AS ABOVE_|
| logical_plan_| MergeScan [is_placeholder=false, remote_input=[_|
@@ -321,14 +328,13 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| physical_plan after EnforceSorting_| SAME TEXT AS ABOVE_|
| physical_plan after OptimizeAggregateOrder_| SAME TEXT AS ABOVE_|
| physical_plan after ProjectionPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after coalesce_batches_| SAME TEXT AS ABOVE_|
| physical_plan after coalesce_async_exec_input_| SAME TEXT AS ABOVE_|
| physical_plan after OutputRequirements_| MergeScanExec: REDACTED
|_|_|
| physical_plan after LimitAggregation_| SAME TEXT AS ABOVE_|
| physical_plan after LimitPushPastWindows_| SAME TEXT AS ABOVE_|
| physical_plan after LimitPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after ProjectionPushdown_| SAME TEXT AS ABOVE_|
| physical_plan after PushdownSort_| SAME TEXT AS ABOVE_|
| physical_plan after EnsureCooperative_| CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
@@ -343,7 +349,7 @@ TQL EXPLAIN VERBOSE (0, 10, '5s') test AS series;
| physical_plan_with_stats_| CooperativeExec, statistics=[Rows=Absent, Bytes=Absent, [(Col[0]:),(Col[1]:),(Col[2]:)]]_|
|_|_MergeScanExec: REDACTED
|_|_|
| physical_plan_with_schema_| CooperativeExec, schema=[series:Float64;N, k:Utf8;N, j:Timestamp(Millisecond, None)]_|
| physical_plan_with_schema_| CooperativeExec, schema=[series:Float64;N, k:Utf8;N, j:Timestamp(ms)]_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
tests/cases/standalone/common/tql/general_table.result
+2 -9
View File
@@ -29,23 +29,16 @@ TQL analyze (0, 10, '1s') sum by(job) (irate(cpu_usage{job="fire"}[5s])) / 1e9;
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_SortPreservingMergeExec: [job@0 ASC NULLS LAST, ts@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[job@0 ASC NULLS LAST, ts@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[job@0 as job, ts@1 as ts], aggr=[sum(prom_irate(ts_range,value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[job@2 as job, ts@0 as ts], aggr=[sum(prom_irate(ts_range,value))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[job@2 as job, ts@0 as ts], aggr=[sum(prom_irate(ts_range,value))] REDACTED
|_|_|_FilterExec: prom_irate(ts_range,value)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[ts@2 as ts, prom_irate(ts_range@3, value@0) as prom_irate(ts_range,value), job@1 as job] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[1000], eval range=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[ts], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["job"] REDACTED
|_|_|_SortExec: expr=[ts@2 ASC], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_ProjectionExec: expr=[value@1 as value, job@0 as job, CAST(ts@2 AS Timestamp(Millisecond, None)) as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_ProjectionExec: expr=[value@1 as value, job@0 as job, CAST(ts@2 AS Timestamp(ms)) as ts] REDACTED
|_|_|_FilterExec: job@0 = fire AND ts@2 >= -4999000000 AND ts@2 <= 10000000000 REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CooperativeExec REDACTED
tests/cases/standalone/common/tql/partition.result
+2 -24
View File
@@ -26,17 +26,12 @@ tql analyze (0, 10, '1s') 100 - (avg by (k) (irate(t[1m])) * 100);
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_SortPreservingMergeExec: [k@0 ASC NULLS LAST, j@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[k@0 ASC NULLS LAST, j@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[k@0 as k, j@1 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[k@2 as k, j@0 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[k@2 as k, j@0 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_FilterExec: prom_irate(j_range,i)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_irate(j_range@3, i@0) as prom_irate(j_range,i), k@2 as k] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[1000], eval range=[60000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["k"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -73,37 +68,27 @@ tql analyze (0, 10, '1s') 100 - (avg by (k) (irate(t[1m])) * 100);
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_SortPreservingMergeExec: [k@0 ASC NULLS LAST, j@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[k@0 ASC NULLS LAST, j@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[k@0 as k, j@1 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[k@0 as k, j@1 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_AggregateExec: mode=SinglePartitioned, gby=[k@0 as k, j@1 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[k@0 as k, j@1 as j], aggr=[__avg_state(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[k@2 as k, j@0 as j], aggr=[__avg_state(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_irate(j_range,i)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_irate(j_range@4, i@0) as prom_irate(j_range,i), k@2 as k] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[1000], eval range=[60000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["k", "l"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[k@0 as k, j@1 as j], aggr=[__avg_state(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[k@2 as k, j@0 as j], aggr=[__avg_state(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_irate(j_range,i)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_irate(j_range@4, i@0) as prom_irate(j_range,i), k@2 as k] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[1000], eval range=[60000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["k", "l"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
@@ -141,28 +126,21 @@ tql analyze (0, 10, '1s') 100 - (avg by (k) (irate(t[1m])) * 100);
|_|_|_SortPreservingMergeExec: [k@0 ASC NULLS LAST, j@1 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[k@0 ASC NULLS LAST, j@1 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[k@0 as k, j@1 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[k@2 as k, j@0 as j], aggr=[avg(prom_irate(j_range,i))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_irate(j_range,i)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_irate(j_range@4, i@0) as prom_irate(j_range,i), k@2 as k] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[1000], eval range=[60000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["k", "l"] REDACTED
|_|_|_SortExec: expr=[k@2 ASC, l@3 ASC, j@1 ASC], preserve_partitioning=[true] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [k@2 ASC, l@3 ASC, j@1 ASC] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [k@2 ASC, l@3 ASC, j@1 ASC] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
tests/cases/standalone/common/tql/tql-cte.result
+83 -101
View File
@@ -391,17 +391,12 @@ LIMIT 3;
| | SortPreservingMergeExec: [ts@2 ASC NULLS LAST], fetch=3 |
| | SortExec: TopK(fetch=3), expr=[ts@2 ASC NULLS LAST], preserve_REDACTED
| | ProjectionExec: expr=[val@1 as metric_val, cpu@2 as label_val, ts@0 as ts] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ts@0, ts@0)], projection=[ts@0, val@1, cpu@3] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, cpu@2 as cpu] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(ts@0, ts@0)], projection=[ts@0, val@1, cpu@3] |
| | RepartitionExec: REDACTED
| | MergeScanExec: REDACTED
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, cpu@2 as cpu] |
| | MergeScanExec: REDACTED
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -495,8 +490,7 @@ ORDER BY ts;
| | BoundedWindowAggExec: wdw=[lag(tql_base.val,Int64(1)) ORDER BY [tql_base.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW: Field { "lag(tql_base.val,Int64(1)) ORDER BY [tql_base.ts ASC NULLS LAST] RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW": nullable Float64 }, frame: RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW], mode=[Sorted] |
| | SortPreservingMergeExec: [ts@0 ASC NULLS LAST] |
| | SortExec: expr=[ts@0 ASC NULLS LAST], preserve_REDACTED
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | MergeScanExec: REDACTED
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
@@ -743,51 +737,45 @@ WHERE l.host = 'host1'
ORDER BY t.ts, l.host, avg_value
LIMIT 5;
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Sort: t.ts ASC NULLS LAST, l.host ASC NULLS LAST, avg_value ASC NULLS LAST, fetch=5 |
| | Projection: t.ts, t.cpu AS avg_value, l.host |
| | Inner Join: date_trunc(Utf8("second"), t.ts) = date_trunc(Utf8("second"), l.ts) |
| | Projection: t.ts, t.cpu |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: t |
| | SubqueryAlias: tql_summary |
| | Projection: labels.ts AS ts, prom_avg_over_time(ts_range,cpu) AS host, labels.host AS cpu |
| | Filter: prom_avg_over_time(ts_range,cpu) IS NOT NULL |
| | Projection: labels.ts, prom_avg_over_time(ts_range, cpu) AS prom_avg_over_time(ts_range,cpu), labels.host |
| | PromRangeManipulate: req range=[0..40000], interval=[10000], eval range=[30000], time index=[ts], values=["cpu"] |
| | PromSeriesNormalize: offset=[0], time index=[ts], filter NaN: [true] |
| | PromSeriesDivide: tags=["host"] |
| | Filter: labels.ts >= TimestampMillisecond(-29999, None) AND labels.ts <= TimestampMillisecond(40000, None) |
| | TableScan: labels |
| | ]] |
| | Filter: l.host = Utf8("host1") |
| | Projection: l.ts, l.host |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: l |
| | TableScan: labels |
| | ]] |
| physical_plan | SortPreservingMergeExec: [ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], fetch=5 |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Sort: t.ts ASC NULLS LAST, l.host ASC NULLS LAST, avg_value ASC NULLS LAST, fetch=5 |
| | Projection: t.ts, t.cpu AS avg_value, l.host |
| | Inner Join: date_trunc(Utf8("second"), t.ts) = date_trunc(Utf8("second"), l.ts) |
| | Projection: t.ts, t.cpu |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: t |
| | SubqueryAlias: tql_summary |
| | Projection: labels.ts AS ts, prom_avg_over_time(ts_range,cpu) AS host, labels.host AS cpu |
| | Filter: prom_avg_over_time(ts_range,cpu) IS NOT NULL |
| | Projection: labels.ts, prom_avg_over_time(ts_range, cpu) AS prom_avg_over_time(ts_range,cpu), labels.host |
| | PromRangeManipulate: req range=[0..40000], interval=[10000], eval range=[30000], time index=[ts], values=["cpu"] |
| | PromSeriesNormalize: offset=[0], time index=[ts], filter NaN: [true] |
| | PromSeriesDivide: tags=["host"] |
| | Filter: labels.ts >= TimestampMillisecond(-29999, None) AND labels.ts <= TimestampMillisecond(40000, None) |
| | TableScan: labels |
| | ]] |
| | Filter: l.host = Utf8("host1") |
| | Projection: l.ts, l.host |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: l |
| | TableScan: labels |
| | ]] |
| physical_plan | SortPreservingMergeExec: [ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], fetch=5 |
| | SortExec: TopK(fetch=5), expr=[ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], preserve_REDACTED
| | ProjectionExec: expr=[ts@0 as ts, cpu@1 as avg_value, host@2 as host] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(date_trunc(Utf8("second"),t.ts)@2, date_trunc(Utf8("second"),l.ts)@2)], projection=[ts@0, cpu@1, host@4] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, cpu@2 as cpu, date_trunc(second, ts@0) as date_trunc(Utf8("second"),t.ts)] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host, date_trunc(second, ts@0) as date_trunc(Utf8("second"),l.ts)] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | FilterExec: host@1 = host1 |
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | |
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | ProjectionExec: expr=[ts@0 as ts, cpu@1 as avg_value, host@2 as host] |
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(date_trunc(Utf8("second"),t.ts)@2, date_trunc(Utf8("second"),l.ts)@2)], projection=[ts@0, cpu@1, host@4] |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, cpu@2 as cpu, date_trunc(second, ts@0) as date_trunc(Utf8("second"),t.ts)] |
| | MergeScanExec: REDACTED
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host, date_trunc(second, ts@0) as date_trunc(Utf8("second"),l.ts)] |
| | FilterExec: host@1 = host1 |
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host] |
| | MergeScanExec: REDACTED
| | |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- TQL CTE with JOIN and value aliasing
-- SQLNESS SORT_RESULT 3 1
@@ -829,51 +817,45 @@ WHERE l.host = 'host1'
ORDER BY t.ts, l.host, avg_value
LIMIT 5;
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Sort: t.ts ASC NULLS LAST, l.host ASC NULLS LAST, avg_value ASC NULLS LAST, fetch=5 |
| | Projection: t.ts, t.cpu AS avg_value, l.host |
| | Inner Join: date_trunc(Utf8("second"), t.ts) = date_trunc(Utf8("second"), l.ts) |
| | Projection: t.cpu, t.ts |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: t |
| | SubqueryAlias: tql_summary |
| | Projection: prom_avg_over_time(ts_range,cpu) AS cpu, labels.host, labels.ts |
| | Filter: prom_avg_over_time(ts_range,cpu) IS NOT NULL |
| | Projection: labels.ts, prom_avg_over_time(ts_range, cpu) AS prom_avg_over_time(ts_range,cpu), labels.host |
| | PromRangeManipulate: req range=[0..40000], interval=[10000], eval range=[30000], time index=[ts], values=["cpu"] |
| | PromSeriesNormalize: offset=[0], time index=[ts], filter NaN: [true] |
| | PromSeriesDivide: tags=["host"] |
| | Filter: labels.ts >= TimestampMillisecond(-29999, None) AND labels.ts <= TimestampMillisecond(40000, None) |
| | TableScan: labels |
| | ]] |
| | Filter: l.host = Utf8("host1") |
| | Projection: l.ts, l.host |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: l |
| | TableScan: labels |
| | ]] |
| physical_plan | SortPreservingMergeExec: [ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], fetch=5 |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Sort: t.ts ASC NULLS LAST, l.host ASC NULLS LAST, avg_value ASC NULLS LAST, fetch=5 |
| | Projection: t.ts, t.cpu AS avg_value, l.host |
| | Inner Join: date_trunc(Utf8("second"), t.ts) = date_trunc(Utf8("second"), l.ts) |
| | Projection: t.cpu, t.ts |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: t |
| | SubqueryAlias: tql_summary |
| | Projection: prom_avg_over_time(ts_range,cpu) AS cpu, labels.host, labels.ts |
| | Filter: prom_avg_over_time(ts_range,cpu) IS NOT NULL |
| | Projection: labels.ts, prom_avg_over_time(ts_range, cpu) AS prom_avg_over_time(ts_range,cpu), labels.host |
| | PromRangeManipulate: req range=[0..40000], interval=[10000], eval range=[30000], time index=[ts], values=["cpu"] |
| | PromSeriesNormalize: offset=[0], time index=[ts], filter NaN: [true] |
| | PromSeriesDivide: tags=["host"] |
| | Filter: labels.ts >= TimestampMillisecond(-29999, None) AND labels.ts <= TimestampMillisecond(40000, None) |
| | TableScan: labels |
| | ]] |
| | Filter: l.host = Utf8("host1") |
| | Projection: l.ts, l.host |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: l |
| | TableScan: labels |
| | ]] |
| physical_plan | SortPreservingMergeExec: [ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], fetch=5 |
| | SortExec: TopK(fetch=5), expr=[ts@0 ASC NULLS LAST, avg_value@1 ASC NULLS LAST], preserve_REDACTED
| | ProjectionExec: expr=[ts@1 as ts, cpu@0 as avg_value, host@2 as host] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(date_trunc(Utf8("second"),t.ts)@2, date_trunc(Utf8("second"),l.ts)@2)], projection=[cpu@0, ts@1, host@4] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[cpu@0 as cpu, ts@2 as ts, date_trunc(second, ts@2) as date_trunc(Utf8("second"),t.ts)] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | CoalesceBatchesExec: target_batch_size=8192 |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host, date_trunc(second, ts@0) as date_trunc(Utf8("second"),l.ts)] |
| | CoalesceBatchesExec: target_batch_size=8192 |
| | FilterExec: host@1 = host1 |
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host] |
| | CooperativeExec |
| | MergeScanExec: REDACTED
| | |
+---------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | ProjectionExec: expr=[ts@1 as ts, cpu@0 as avg_value, host@2 as host] |
| | HashJoinExec: mode=Partitioned, join_type=Inner, on=[(date_trunc(Utf8("second"),t.ts)@2, date_trunc(Utf8("second"),l.ts)@2)], projection=[cpu@0, ts@1, host@4] |
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[cpu@0 as cpu, ts@2 as ts, date_trunc(second, ts@2) as date_trunc(Utf8("second"),t.ts)] |
| | MergeScanExec: REDACTED
| | RepartitionExec: REDACTED
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host, date_trunc(second, ts@0) as date_trunc(Utf8("second"),l.ts)] |
| | FilterExec: host@1 = host1 |
| | ProjectionExec: expr=[ts@0 as ts, host@1 as host] |
| | MergeScanExec: REDACTED
| | |
+---------------+----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- Error case - TQL ANALYZE should fail
WITH tql_analyze AS (
tests/cases/standalone/common/types/date/test_date.result
+1 -1
View File
@@ -65,7 +65,7 @@ SELECT i - DATE '1993-08-14' FROM dates ORDER BY ts;
+------------------------------+
| dates.i - Utf8("1993-08-14") |
+------------------------------+
| P0D |
| 0 |
| |
+------------------------------+
tests/cases/standalone/common/types/decimal/decimal_ops.result
+23 -31
View File
@@ -124,7 +124,7 @@ SELECT CEIL('0.1'::DECIMAL), CEIL('-0.1'::DECIMAL), CEIL(NULL::DECIMAL);
+-------------------+--------------------+------------+
| ceil(Utf8("0.1")) | ceil(Utf8("-0.1")) | ceil(NULL) |
+-------------------+--------------------+------------+
| 1.0 | -0.0 | |
| 1.0000000000 | 0.0000000000 | |
+-------------------+--------------------+------------+
SELECT CEIL('100.3'::DECIMAL), CEIL('-127012.3'::DECIMAL);
@@ -132,7 +132,7 @@ SELECT CEIL('100.3'::DECIMAL), CEIL('-127012.3'::DECIMAL);
+---------------------+-------------------------+
| ceil(Utf8("100.3")) | ceil(Utf8("-127012.3")) |
+---------------------+-------------------------+
| 101.0 | -127012.0 |
| 101.0000000000 | -127012.0000000000 |
+---------------------+-------------------------+
SELECT CEIL('10.5'::DECIMAL), CEIL('-10.5'::DECIMAL);
@@ -140,24 +140,20 @@ SELECT CEIL('10.5'::DECIMAL), CEIL('-10.5'::DECIMAL);
+--------------------+---------------------+
| ceil(Utf8("10.5")) | ceil(Utf8("-10.5")) |
+--------------------+---------------------+
| 11.0 | -10.0 |
| 11.0000000000 | -10.0000000000 |
+--------------------+---------------------+
-- ceil function on the boundaries
SELECT CEIL('999.9'::DECIMAL(4,1)), CEIL('99999999.9'::DECIMAL(9,1)), CEIL('99999999999999999.9'::DECIMAL(18,1)), CEIL('9999999999999999999999999999999999999.9'::DECIMAL(38,1));
+---------------------+--------------------------+-----------------------------------+-------------------------------------------------------+
| ceil(Utf8("999.9")) | ceil(Utf8("99999999.9")) | ceil(Utf8("99999999999999999.9")) | ceil(Utf8("9999999999999999999999999999999999999.9")) |
+---------------------+--------------------------+-----------------------------------+-------------------------------------------------------+
| 1000.0 | 100000000.0 | 1e17 | 1e37 |
+---------------------+--------------------------+-----------------------------------+-------------------------------------------------------+
Error: 3001(EngineExecuteQuery), Compute error: Decimal overflow while applying ceil
SELECT CEIL('-999.9'::DECIMAL(4,1)), CEIL('-99999999.9'::DECIMAL(9,1)), CEIL('-99999999999999999.9'::DECIMAL(18,1)), CEIL('-9999999999999999999999999999999999999.9'::DECIMAL(38,1));
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| ceil(Utf8("-999.9")) | ceil(Utf8("-99999999.9")) | ceil(Utf8("-99999999999999999.9")) | ceil(Utf8("-9999999999999999999999999999999999999.9")) |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| -999.0 | -99999999.0 | -1e17 | -1e37 |
| -999.0 | -99999999.0 | -99999999999999999.0 | -9999999999999999999999999999999999999.0 |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
-- test FLOOR function
@@ -166,7 +162,7 @@ SELECT FLOOR('0.1'::DECIMAL), FLOOR('-0.1'::DECIMAL), FLOOR(NULL::DECIMAL);
+--------------------+---------------------+-------------+
| floor(Utf8("0.1")) | floor(Utf8("-0.1")) | floor(NULL) |
+--------------------+---------------------+-------------+
| 0.0 | -1.0 | |
| 0.0000000000 | -1.0000000000 | |
+--------------------+---------------------+-------------+
SELECT FLOOR('100.3'::DECIMAL), FLOOR('-127012.3'::DECIMAL);
@@ -174,7 +170,7 @@ SELECT FLOOR('100.3'::DECIMAL), FLOOR('-127012.3'::DECIMAL);
+----------------------+--------------------------+
| floor(Utf8("100.3")) | floor(Utf8("-127012.3")) |
+----------------------+--------------------------+
| 100.0 | -127013.0 |
| 100.0000000000 | -127013.0000000000 |
+----------------------+--------------------------+
SELECT FLOOR('10.5'::DECIMAL), FLOOR('-10.5'::DECIMAL);
@@ -182,7 +178,7 @@ SELECT FLOOR('10.5'::DECIMAL), FLOOR('-10.5'::DECIMAL);
+---------------------+----------------------+
| floor(Utf8("10.5")) | floor(Utf8("-10.5")) |
+---------------------+----------------------+
| 10.0 | -11.0 |
| 10.0000000000 | -11.0000000000 |
+---------------------+----------------------+
-- floor function on the boundaries
@@ -191,16 +187,12 @@ SELECT FLOOR('999.9'::DECIMAL(4,1)), FLOOR('99999999.9'::DECIMAL(9,1)), FLOOR('9
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| floor(Utf8("999.9")) | floor(Utf8("99999999.9")) | floor(Utf8("99999999999999999.9")) | floor(Utf8("9999999999999999999999999999999999999.9")) |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| 999.0 | 99999999.0 | 1e17 | 1e37 |
| 999.0 | 99999999.0 | 99999999999999999.0 | 9999999999999999999999999999999999999.0 |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
SELECT FLOOR('-999.9'::DECIMAL(4,1)), FLOOR('-99999999.9'::DECIMAL(9,1)), FLOOR('-99999999999999999.9'::DECIMAL(18,1)), FLOOR('-9999999999999999999999999999999999999.9'::DECIMAL(38,1));
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
| floor(Utf8("-999.9")) | floor(Utf8("-99999999.9")) | floor(Utf8("-99999999999999999.9")) | floor(Utf8("-9999999999999999999999999999999999999.9")) |
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
| -1000.0 | -100000000.0 | -1e17 | -1e37 |
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
Error: 3001(EngineExecuteQuery), Compute error: Decimal overflow while applying floor
-- test unary ROUND function
SELECT ROUND('0.1'::DECIMAL), ROUND('-0.1'::DECIMAL), ROUND(NULL::DECIMAL);
@@ -208,7 +200,7 @@ SELECT ROUND('0.1'::DECIMAL), ROUND('-0.1'::DECIMAL), ROUND(NULL::DECIMAL);
+--------------------+---------------------+-------------+
| round(Utf8("0.1")) | round(Utf8("-0.1")) | round(NULL) |
+--------------------+---------------------+-------------+
| 0.0 | -0.0 | |
| 0 | 0 | |
+--------------------+---------------------+-------------+
SELECT ROUND('100.3'::DECIMAL), ROUND('-127012.3'::DECIMAL);
@@ -216,7 +208,7 @@ SELECT ROUND('100.3'::DECIMAL), ROUND('-127012.3'::DECIMAL);
+----------------------+--------------------------+
| round(Utf8("100.3")) | round(Utf8("-127012.3")) |
+----------------------+--------------------------+
| 100.0 | -127012.0 |
| 100 | -127012 |
+----------------------+--------------------------+
SELECT ROUND('10.5'::DECIMAL), ROUND('-10.5'::DECIMAL);
@@ -224,7 +216,7 @@ SELECT ROUND('10.5'::DECIMAL), ROUND('-10.5'::DECIMAL);
+---------------------+----------------------+
| round(Utf8("10.5")) | round(Utf8("-10.5")) |
+---------------------+----------------------+
| 11.0 | -11.0 |
| 11 | -11 |
+---------------------+----------------------+
-- round function on the boundaries
@@ -233,7 +225,7 @@ SELECT ROUND('999.9'::DECIMAL(4,1)), ROUND('99999999.9'::DECIMAL(9,1)), ROUND('9
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| round(Utf8("999.9")) | round(Utf8("99999999.9")) | round(Utf8("99999999999999999.9")) | round(Utf8("9999999999999999999999999999999999999.9")) |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
| 1000.0 | 100000000.0 | 1e17 | 1e37 |
| 1000 | 100000000 | 100000000000000000 | 10000000000000000000000000000000000000 |
+----------------------+---------------------------+------------------------------------+--------------------------------------------------------+
SELECT ROUND('-999.9'::DECIMAL(4,1)), ROUND('-99999999.9'::DECIMAL(9,1)), ROUND('-99999999999999999.9'::DECIMAL(18,1)), ROUND('-9999999999999999999999999999999999999.9'::DECIMAL(38,1));
@@ -241,7 +233,7 @@ SELECT ROUND('-999.9'::DECIMAL(4,1)), ROUND('-99999999.9'::DECIMAL(9,1)), ROUND(
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
| round(Utf8("-999.9")) | round(Utf8("-99999999.9")) | round(Utf8("-99999999999999999.9")) | round(Utf8("-9999999999999999999999999999999999999.9")) |
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
| -1000.0 | -100000000.0 | -1e17 | -1e37 |
| -1000 | -100000000 | -100000000000000000 | -10000000000000000000000000000000000000 |
+-----------------------+----------------------------+-------------------------------------+---------------------------------------------------------+
-- round with precision
@@ -262,7 +254,7 @@ SELECT ROUND('100.3908147521'::DECIMAL(18,10), 0)::VARCHAR,
+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+-----------------------------------------+---------------------------------------------+----------------------+
| round(Utf8("100.3908147521"),Int64(0)) | round(Utf8("100.3908147521"),Int64(1)) | round(Utf8("100.3908147521"),Int64(2)) | round(Utf8("100.3908147521"),Int64(3)) | round(Utf8("100.3908147521"),Int64(4)) | round(Utf8("100.3908147521"),Int64(5)) | round(Utf8("100.3908147521"),Int64(6)) | round(Utf8("100.3908147521"),Int64(7)) | round(Utf8("100.3908147521"),Int64(8)) | round(Utf8("100.3908147521"),Int64(9)) | round(Utf8("100.3908147521"),Int64(10)) | round(Utf8("100.3908147521"),Int64(100000)) | round(NULL,Int64(0)) |
+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+-----------------------------------------+---------------------------------------------+----------------------+
| 100.0 | 100.4 | 100.39 | 100.391 | 100.3908 | 100.39081 | 100.390815 | 100.3908148 | 100.39081475 | 100.390814752 | 100.3908147521 | NaN | |
| 100 | 100.4 | 100.39 | 100.391 | 100.3908 | 100.39081 | 100.390815 | 100.3908148 | 100.39081475 | 100.390814752 | 100.3908147521 | 100.3908147521 | |
+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+----------------------------------------+-----------------------------------------+---------------------------------------------+----------------------+
-- negative precision
@@ -291,7 +283,7 @@ SELECT ROUND('1049578239572094512.32415'::DECIMAL(30,10), 0)::VARCHAR,
+---------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+--------------------------------------------------------+
| round(Utf8("1049578239572094512.32415"),Int64(0)) | round(Utf8("1049578239572094512.32415"),Int64(-1)) | round(Utf8("1049578239572094512.32415"),Int64(-2)) | round(Utf8("1049578239572094512.32415"),Int64(-3)) | round(Utf8("1049578239572094512.32415"),Int64(-4)) | round(Utf8("1049578239572094512.32415"),Int64(-5)) | round(Utf8("1049578239572094512.32415"),Int64(-6)) | round(Utf8("1049578239572094512.32415"),Int64(-7)) | round(Utf8("1049578239572094512.32415"),Int64(-8)) | round(Utf8("1049578239572094512.32415"),Int64(-9)) | round(Utf8("1049578239572094512.32415"),Int64(-10)) | round(Utf8("1049578239572094512.32415"),Int64(-11)) | round(Utf8("1049578239572094512.32415"),Int64(-12)) | round(Utf8("1049578239572094512.32415"),Int64(-13)) | round(Utf8("1049578239572094512.32415"),Int64(-14)) | round(Utf8("1049578239572094512.32415"),Int64(-15)) | round(Utf8("1049578239572094512.32415"),Int64(-16)) | round(Utf8("1049578239572094512.32415"),Int64(-18)) | round(Utf8("1049578239572094512.32415"),Int64(-19)) | round(Utf8("1049578239572094512.32415"),Int64(-20)) | round(Utf8("1049578239572094512.32415"),Int64(-19842)) |
+---------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+--------------------------------------------------------+
| 1.0495782395720946e18 | 1.0495782395720947e18 | 1.0495782395720946e18 | 1.049578239572095e18 | 1.04957823957209e18 | 1.0495782395721e18 | 1.049578239572e18 | 1.04957823957e18 | 1.0495782396e18 | 1.0495782399999999e18 | 1.04957824e18 | 1.0495782e18 | 1.049578e18 | 1.04958e18 | 1.0496e18 | 1.0499999999999999e18 | 1.05e18 | 9.999999999999999e17 | 0.0 | 0.0 | NaN |
| 1049578239572094512 | 1049578239572094510 | 1049578239572094500 | 1049578239572095000 | 1049578239572090000 | 1049578239572100000 | 1049578239572000000 | 1049578239570000000 | 1049578239600000000 | 1049578240000000000 | 1049578240000000000 | 1049578200000000000 | 1049578000000000000 | 1049580000000000000 | 1049600000000000000 | 1050000000000000000 | 1050000000000000000 | 1000000000000000000 | 0 | 0 | 0 |
+---------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+--------------------------------------------------------+
-- negative values
@@ -312,7 +304,7 @@ SELECT ROUND('-100.3908147521'::DECIMAL(18,10), 0)::VARCHAR,
+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+------------------------------------------+----------------------------------------------+----------------------+
| round(Utf8("-100.3908147521"),Int64(0)) | round(Utf8("-100.3908147521"),Int64(1)) | round(Utf8("-100.3908147521"),Int64(2)) | round(Utf8("-100.3908147521"),Int64(3)) | round(Utf8("-100.3908147521"),Int64(4)) | round(Utf8("-100.3908147521"),Int64(5)) | round(Utf8("-100.3908147521"),Int64(6)) | round(Utf8("-100.3908147521"),Int64(7)) | round(Utf8("-100.3908147521"),Int64(8)) | round(Utf8("-100.3908147521"),Int64(9)) | round(Utf8("-100.3908147521"),Int64(10)) | round(Utf8("-100.3908147521"),Int64(100000)) | round(NULL,Int64(0)) |
+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+------------------------------------------+----------------------------------------------+----------------------+
| -100.0 | -100.4 | -100.39 | -100.391 | -100.3908 | -100.39081 | -100.390815 | -100.3908148 | -100.39081475 | -100.390814752 | -100.3908147521 | NaN | |
| -100 | -100.4 | -100.39 | -100.391 | -100.3908 | -100.39081 | -100.390815 | -100.3908148 | -100.39081475 | -100.390814752 | -100.3908147521 | -100.3908147521 | |
+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+-----------------------------------------+------------------------------------------+----------------------------------------------+----------------------+
SELECT ROUND('-1049578239572094512.32415'::DECIMAL(30,10), 0)::VARCHAR,
@@ -340,7 +332,7 @@ SELECT ROUND('-1049578239572094512.32415'::DECIMAL(30,10), 0)::VARCHAR,
+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+---------------------------------------------------------+
| round(Utf8("-1049578239572094512.32415"),Int64(0)) | round(Utf8("-1049578239572094512.32415"),Int64(-1)) | round(Utf8("-1049578239572094512.32415"),Int64(-2)) | round(Utf8("-1049578239572094512.32415"),Int64(-3)) | round(Utf8("-1049578239572094512.32415"),Int64(-4)) | round(Utf8("-1049578239572094512.32415"),Int64(-5)) | round(Utf8("-1049578239572094512.32415"),Int64(-6)) | round(Utf8("-1049578239572094512.32415"),Int64(-7)) | round(Utf8("-1049578239572094512.32415"),Int64(-8)) | round(Utf8("-1049578239572094512.32415"),Int64(-9)) | round(Utf8("-1049578239572094512.32415"),Int64(-10)) | round(Utf8("-1049578239572094512.32415"),Int64(-11)) | round(Utf8("-1049578239572094512.32415"),Int64(-12)) | round(Utf8("-1049578239572094512.32415"),Int64(-13)) | round(Utf8("-1049578239572094512.32415"),Int64(-14)) | round(Utf8("-1049578239572094512.32415"),Int64(-15)) | round(Utf8("-1049578239572094512.32415"),Int64(-16)) | round(Utf8("-1049578239572094512.32415"),Int64(-18)) | round(Utf8("-1049578239572094512.32415"),Int64(-19)) | round(Utf8("-1049578239572094512.32415"),Int64(-20)) | round(Utf8("-1049578239572094512.32415"),Int64(-19842)) |
+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+---------------------------------------------------------+
| -1.0495782395720946e18 | -1.0495782395720947e18 | -1.0495782395720946e18 | -1.049578239572095e18 | -1.04957823957209e18 | -1.0495782395721e18 | -1.049578239572e18 | -1.04957823957e18 | -1.0495782396e18 | -1.0495782399999999e18 | -1.04957824e18 | -1.0495782e18 | -1.049578e18 | -1.04958e18 | -1.0496e18 | -1.0499999999999999e18 | -1.05e18 | -9.999999999999999e17 | -0.0 | -0.0 | NaN |
| -1049578239572094512 | -1049578239572094510 | -1049578239572094500 | -1049578239572095000 | -1049578239572090000 | -1049578239572100000 | -1049578239572000000 | -1049578239570000000 | -1049578239600000000 | -1049578240000000000 | -1049578240000000000 | -1049578200000000000 | -1049578000000000000 | -1049580000000000000 | -1049600000000000000 | -1050000000000000000 | -1050000000000000000 | -1000000000000000000 | 0 | 0 | 0 |
+----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+-----------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+------------------------------------------------------+---------------------------------------------------------+
SELECT ROUND(12::DECIMAL(3,0));
@@ -348,7 +340,7 @@ SELECT ROUND(12::DECIMAL(3,0));
+------------------+
| round(Int64(12)) |
+------------------+
| 12.0 |
| 12 |
+------------------+
-- null precision becomes null (postgres behavior)
@@ -368,7 +360,7 @@ SELECT ROUND('-100.3'::DECIMAL(4,1), 1)::VARCHAR,
+--------------------------------+-------------------------------+--------------------------------+
| round(Utf8("-100.3"),Int64(1)) | round(Utf8("104.3"),Int64(0)) | round(Utf8("104.3"),Int64(-1)) |
+--------------------------------+-------------------------------+--------------------------------+
| -100.3 | 104.0 | 100.0 |
| -100.3 | 104 | 100 |
+--------------------------------+-------------------------------+--------------------------------+
SELECT ROUND('-100.3'::DECIMAL(9,1), 1)::VARCHAR,
@@ -378,7 +370,7 @@ SELECT ROUND('-100.3'::DECIMAL(9,1), 1)::VARCHAR,
+--------------------------------+-------------------------------+--------------------------------+
| round(Utf8("-100.3"),Int64(1)) | round(Utf8("104.3"),Int64(0)) | round(Utf8("104.3"),Int64(-1)) |
+--------------------------------+-------------------------------+--------------------------------+
| -100.3 | 104.0 | 100.0 |
| -100.3 | 104 | 100 |
+--------------------------------+-------------------------------+--------------------------------+
SELECT ROUND('-100.3'::DECIMAL(18,1), 1)::VARCHAR,
@@ -388,7 +380,7 @@ SELECT ROUND('-100.3'::DECIMAL(18,1), 1)::VARCHAR,
+--------------------------------+-------------------------------+--------------------------------+
| round(Utf8("-100.3"),Int64(1)) | round(Utf8("104.3"),Int64(0)) | round(Utf8("104.3"),Int64(-1)) |
+--------------------------------+-------------------------------+--------------------------------+
| -100.3 | 104.0 | 100.0 |
| -100.3 | 104 | 100 |
+--------------------------------+-------------------------------+--------------------------------+
-- use decimal in sub-query
tests/cases/standalone/common/types/interval/interval.result
+2 -7
View File
@@ -49,11 +49,11 @@ SELECT INTERVAL '1 year 2 months 3 days 4 hours' - INTERVAL '1 year';
SELECT INTERVAL '6 years' * 2;
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Cannot coerce arithmetic expression Interval(MonthDayNano) * Int64 to valid types
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Cannot get result type for temporal operation Interval(MonthDayNano) * Int64: Invalid argument error: Invalid interval arithmetic operation: Interval(MonthDayNano) * Interval(MonthDayNano)
SELECT INTERVAL '6 years' / 2;
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Cannot coerce arithmetic expression Interval(MonthDayNano) / Int64 to valid types
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Cannot get result type for temporal operation Interval(MonthDayNano) / Int64: Invalid argument error: Invalid interval arithmetic operation: Interval(MonthDayNano) / Interval(MonthDayNano)
SELECT INTERVAL '6 years' = INTERVAL '72 months';
@@ -71,11 +71,6 @@ SELECT arrow_typeof(INTERVAL '1 month');
| Interval(MonthDayNano) |
+---------------------------------------------------------------------------------------------------+
-- INTERVAL + TIME CONSTANT
SELECT current_time() + INTERVAL '1 hour';
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Cannot coerce arithmetic expression Time64(ns) + Interval(MonthDayNano) to valid types
-- table with interval type test
-- breaking change from #5422 table do not support interval type will raise an error
CREATE TABLE IF NOT EXISTS intervals(
tests/cases/standalone/common/types/interval/interval.sql
-3
View File
@@ -19,9 +19,6 @@ SELECT INTERVAL '6 years' = INTERVAL '72 months';
SELECT arrow_typeof(INTERVAL '1 month');
-- INTERVAL + TIME CONSTANT
SELECT current_time() + INTERVAL '1 hour';
-- table with interval type test
-- breaking change from #5422 table do not support interval type will raise an error
CREATE TABLE IF NOT EXISTS intervals(
tests/cases/standalone/common/types/timestamp/timestamp.result
+10 -4
View File
@@ -75,15 +75,21 @@ SELECT MAX(t) FROM timestamp;
SELECT SUM(t) FROM timestamp;
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'sum' user-defined coercion failed with "Execution error: Sum not supported for Timestamp(ms)" No function matches the given name and argument types 'sum(Timestamp(ms))'. You might need to add explicit type casts.
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'sum' failed to match any signature, errors: Error during planning: Function 'sum' requires TypeSignatureClass::Decimal, but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'sum' requires TypeSignatureClass::Native(LogicalType(Native(UInt64), UInt64)), but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'sum' requires TypeSignatureClass::Native(LogicalType(Native(Int64), Int64)), but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'sum' requires TypeSignatureClass::Native(LogicalType(Native(Float64), Float64)), but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'sum' requires TypeSignatureClass::Duration, but received Timestamp(ms) (DataType: Timestamp(ms)). No function matches the given name and argument types 'sum(Timestamp(ms))'. You might need to add explicit type casts.
Candidate functions:
sum(UserDefined)
sum(Coercion(TypeSignatureClass::Decimal))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(UInt64), UInt64)), implicit_coercion=ImplicitCoercion([Native(LogicalType(Native(UInt8), UInt8)), Native(LogicalType(Native(UInt16), UInt16)), Native(LogicalType(Native(UInt32), UInt32))], default_type=UInt64))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(Int64), Int64)), implicit_coercion=ImplicitCoercion([Native(LogicalType(Native(Int8), Int8)), Native(LogicalType(Native(Int16), Int16)), Native(LogicalType(Native(Int32), Int32))], default_type=Int64))
sum(Coercion(TypeSignatureClass::Native(LogicalType(Native(Float64), Float64)), implicit_coercion=ImplicitCoercion([Float], default_type=Float64))
sum(Coercion(TypeSignatureClass::Duration))
SELECT AVG(t) FROM timestamp;
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'avg' user-defined coercion failed with "Error during planning: Avg does not support inputs of type Timestamp(ms)." No function matches the given name and argument types 'avg(Timestamp(ms))'. You might need to add explicit type casts.
Error: 3000(PlanQuery), Failed to plan SQL: Error during planning: Execution error: Function 'avg' failed to match any signature, errors: Error during planning: Function 'avg' requires TypeSignatureClass::Decimal, but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'avg' requires TypeSignatureClass::Duration, but received Timestamp(ms) (DataType: Timestamp(ms)).,Error during planning: Function 'avg' requires TypeSignatureClass::Native(LogicalType(Native(Float64), Float64)), but received Timestamp(ms) (DataType: Timestamp(ms)). No function matches the given name and argument types 'avg(Timestamp(ms))'. You might need to add explicit type casts.
Candidate functions:
avg(UserDefined)
avg(Coercion(TypeSignatureClass::Decimal))
avg(Coercion(TypeSignatureClass::Duration))
avg(Coercion(TypeSignatureClass::Native(LogicalType(Native(Float64), Float64)), implicit_coercion=ImplicitCoercion([Integer, Float], default_type=Float64))
SELECT t+t FROM timestamp;
tests/cases/standalone/common/window/window_advanced.result
+1 -1
View File
@@ -4,7 +4,7 @@ CREATE TABLE window_data(
group_id INTEGER,
seq_num INTEGER,
"value" DOUBLE,
category VARCHAR,
"category" VARCHAR,
ts TIMESTAMP TIME INDEX
);
tests/cases/standalone/common/window/window_advanced.sql
+1 -1
View File
@@ -5,7 +5,7 @@ CREATE TABLE window_data(
group_id INTEGER,
seq_num INTEGER,
"value" DOUBLE,
category VARCHAR,
"category" VARCHAR,
ts TIMESTAMP TIME INDEX
);
tests/cases/standalone/optimizer/count.result
-17
View File
@@ -138,7 +138,6 @@ select count(1) from count_where_bug where `tag` = 'b';
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -180,7 +179,6 @@ select count(1) from count_where_bug where ts > '2024-09-06T06:00:04Z';
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -220,9 +218,7 @@ select count(1) from count_where_bug where num != 3;
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -282,7 +278,6 @@ select count(1) from count_where_bug;
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[{count[count]:REDACTED} as __count_state(count_where_bug.ts)] REDACTED
@@ -318,13 +313,11 @@ select count(1) from count_where_bug where `tag` = 'b';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -346,13 +339,11 @@ select count(1) from count_where_bug where `tag` = 'b';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -384,19 +375,16 @@ select count(1) from count_where_bug where ts > '2024-09-06T06:00:04Z';
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -426,23 +414,18 @@ select count(1) from count_where_bug where num != 3;
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[count(Int64(1))] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__count_state(count_where_bug.ts)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: num@1 != 3, projection=[ts@0] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/standalone/optimizer/filter_column_pruning.result
-43
View File
@@ -57,7 +57,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "cpu_usage"], "filters": ["host = Utf8(\"host1\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -94,7 +93,6 @@ EXPLAIN ANALYZE VERBOSE SELECT mem_usage, cpu_usage FROM filter_prune_test WHERE
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[mem_usage@2 as mem_usage, cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "cpu_usage", "mem_usage"], "filters": ["host = Utf8(\"host1\")", "region = Utf8(\"us-east\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -133,9 +131,7 @@ EXPLAIN ANALYZE VERBOSE SELECT host, `region` FROM filter_prune_test WHERE cpu_u
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, region@2 as region, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@3 > 20, projection=[ts@0, host@1, region@2] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["cpu_usage > Float64(20)"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -174,7 +170,6 @@ EXPLAIN ANALYZE VERBOSE SELECT host, cpu_usage FROM filter_prune_test WHERE ts >
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, cpu_usage@2 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "host", "cpu_usage"], "filters": ["ts > TimestampMillisecond(2000, None)"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -211,9 +206,7 @@ EXPLAIN ANALYZE VERBOSE SELECT mem_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[mem_usage@1 as mem_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@1 > 10, projection=[ts@0, mem_usage@2] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "cpu_usage", "mem_usage"], "filters": ["host = Utf8(\"host1\")", "cpu_usage > Float64(10)", "region = Utf8(\"us-east\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -248,7 +241,6 @@ EXPLAIN ANALYZE VERBOSE SELECT SUM(cpu_usage) as total_cpu FROM filter_prune_tes
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[sum(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[sum(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["cpu_usage"], "filters": ["host = Utf8(\"host1\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -285,12 +277,9 @@ EXPLAIN ANALYZE VERBOSE SELECT `region`, AVG(cpu_usage) as avg_cpu FROM filter_p
|_|_|_SortExec: expr=[region@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[region@0 as region, avg(filter_prune_test.cpu_usage)@1 as avg_cpu] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[region@0 as region], aggr=[avg(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[region@0 as region], aggr=[avg(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: mem_usage@2 > 25, projection=[region@0, cpu_usage@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["region", "cpu_usage", "mem_usage"], "filters": ["mem_usage > Float64(25)"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -330,7 +319,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host IN ('
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "cpu_usage"], "filters": ["host = Utf8(\"host1\") OR host = Utf8(\"host2\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -368,9 +356,7 @@ EXPLAIN ANALYZE VERBOSE SELECT host FROM filter_prune_test WHERE cpu_usage BETWE
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@2 >= 15 AND cpu_usage@2 <= 30, projection=[ts@0, host@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "host", "cpu_usage"], "filters": ["cpu_usage >= Float64(15)", "cpu_usage <= Float64(30)"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -410,9 +396,7 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host LIKE
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: host@1 LIKE host% AND region@2 LIKE us-%, projection=[ts@0, cpu_usage@3] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["host LIKE Utf8(\"host%\")", "region LIKE Utf8(\"us-%\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -451,9 +435,7 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: host@1 = host1 OR region@2 = eu-west, projection=[ts@0, cpu_usage@3] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["host = Utf8(\"host1\") OR region = Utf8(\"eu-west\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -490,7 +472,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM (SELECT * FROM filter_prune_test W
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "projection": ["ts", "cpu_usage"], "filters": ["region = Utf8(\"us-east\")", "host = Utf8(\"host1\")"], "flat_format": REDACTED, "REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -538,7 +519,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "cpu_usage"], "filters": ["host = Utf8(\"host1\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -576,7 +556,6 @@ EXPLAIN ANALYZE VERBOSE SELECT mem_usage, cpu_usage FROM filter_prune_test WHERE
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[mem_usage@2 as mem_usage, cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "cpu_usage", "mem_usage"], "filters": ["host = Utf8(\"host1\")", "region = Utf8(\"us-east\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -616,9 +595,7 @@ EXPLAIN ANALYZE VERBOSE SELECT host, `region` FROM filter_prune_test WHERE cpu_u
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, region@2 as region, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@3 > 20, projection=[ts@0, host@1, region@2] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["cpu_usage > Float64(20)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -658,7 +635,6 @@ EXPLAIN ANALYZE VERBOSE SELECT host, cpu_usage FROM filter_prune_test WHERE ts >
|_|_|_WindowedSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@2 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, cpu_usage@2 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "host", "cpu_usage"], "filters": ["ts > TimestampMillisecond(2000, None)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -696,9 +672,7 @@ EXPLAIN ANALYZE VERBOSE SELECT mem_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[mem_usage@1 as mem_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@1 > 10, projection=[ts@0, mem_usage@2] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "cpu_usage", "mem_usage"], "filters": ["host = Utf8(\"host1\")", "cpu_usage > Float64(10)", "region = Utf8(\"us-east\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -734,7 +708,6 @@ EXPLAIN ANALYZE VERBOSE SELECT SUM(cpu_usage) as total_cpu FROM filter_prune_tes
|_|_|_AggregateExec: mode=Final, gby=[], aggr=[sum(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[sum(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["cpu_usage"], "filters": ["host = Utf8(\"host1\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -772,12 +745,9 @@ EXPLAIN ANALYZE VERBOSE SELECT `region`, AVG(cpu_usage) as avg_cpu FROM filter_p
|_|_|_SortExec: expr=[region@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[region@0 as region, avg(filter_prune_test.cpu_usage)@1 as avg_cpu] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[region@0 as region], aggr=[avg(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[region@0 as region], aggr=[avg(filter_prune_test.cpu_usage)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: mem_usage@2 > 25, projection=[region@0, cpu_usage@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["region", "cpu_usage", "mem_usage"], "filters": ["mem_usage > Float64(25)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -818,7 +788,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host IN ('
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "cpu_usage"], "filters": ["host = Utf8(\"host1\") OR host = Utf8(\"host2\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -857,9 +826,7 @@ EXPLAIN ANALYZE VERBOSE SELECT host FROM filter_prune_test WHERE cpu_usage BETWE
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[host@1 as host, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: cpu_usage@2 >= 15 AND cpu_usage@2 <= 30, projection=[ts@0, host@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "host", "cpu_usage"], "filters": ["cpu_usage >= Float64(15)", "cpu_usage <= Float64(30)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -900,9 +867,7 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host LIKE
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: host@1 LIKE host% AND region@2 LIKE us-%, projection=[ts@0, cpu_usage@3] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["host LIKE Utf8(\"host%\")", "region LIKE Utf8(\"us-%\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -942,9 +907,7 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM filter_prune_test WHERE host = 'ho
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: host@1 = host1 OR region@2 = eu-west, projection=[ts@0, cpu_usage@3] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "host", "region", "cpu_usage"], "filters": ["host = Utf8(\"host1\") OR region = Utf8(\"eu-west\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -982,7 +945,6 @@ EXPLAIN ANALYZE VERBOSE SELECT cpu_usage FROM (SELECT * FROM filter_prune_test W
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[cpu_usage@1 as cpu_usage, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "projection": ["ts", "cpu_usage"], "filters": ["region = Utf8(\"us-east\")", "host = Utf8(\"host1\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -1072,7 +1034,6 @@ EXPLAIN ANALYZE VERBOSE SELECT field1 FROM filter_prune_files WHERE tag_key = 'a
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[field1@1 as field1, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":3, "mem_ranges":1, "files":2, "file_ranges":2}, "projection": ["ts", "field1"], "filters": ["tag_key = Utf8(\"a\")"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -1113,9 +1074,7 @@ EXPLAIN ANALYZE VERBOSE SELECT field1 FROM filter_prune_files WHERE field2 > 5.0
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[field1@1 as field1, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: field2@2 > 5, projection=[ts@0, field1@1] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":3, "mem_ranges":1, "files":2, "file_ranges":2}, "projection": ["ts", "field1", "field2"], "filters": ["field2 > Float64(5)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -1153,9 +1112,7 @@ EXPLAIN ANALYZE VERBOSE SELECT field3 FROM filter_prune_files WHERE tag_key = 'b
|_|_|_WindowedSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=ts@1 ASC NULLS LAST num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[field3@1 as field3, ts@0 as ts] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: field2@1 > 7, projection=[ts@0, field3@2] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, {"partition_count":{"count":3, "mem_ranges":1, "files":2, "file_ranges":2}, "projection": ["ts", "field2", "field3"], "filters": ["tag_key = Utf8(\"b\")", "field2 > Float64(7)"], \"file\":REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/standalone/optimizer/filter_push_down.result
-1
View File
@@ -98,7 +98,6 @@ SELECT * FROM integers WHERE i NOT IN ((SELECT i FROM integers WHERE i=1)) ORDER
+---+-------------------------+
| 2 | 1970-01-01T00:00:00.002 |
| 3 | 1970-01-01T00:00:00.003 |
| | 1970-01-01T00:00:00.004 |
+---+-------------------------+
SELECT * FROM integers WHERE i IN ((SELECT i FROM integers)) AND i<3 ORDER BY i;
tests/cases/standalone/optimizer/first_value_advance.result
-53
View File
@@ -111,10 +111,8 @@ explain analyze
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1} REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -167,7 +165,6 @@ explain analyze
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_UnorderedScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1} REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -244,8 +241,6 @@ order by ordered_host;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -273,38 +268,30 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -335,7 +322,6 @@ explain select first_value(ts order by ts) from t;
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -359,25 +345,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -427,10 +409,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -462,31 +442,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, first_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[first_value(t.host) ORDER BY [t.ts ASC NULLS LAST], first_value(t.val) ORDER BY [t.ts ASC NULLS LAST], first_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__first_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __first_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -550,7 +522,6 @@ explain
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -574,25 +545,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -637,8 +604,6 @@ order by ordered_host;
|_|_TableScan: t1_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -665,38 +630,30 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -746,10 +703,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -781,31 +736,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[first_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], first_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__first_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __first_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/standalone/optimizer/last_value.result
-3
View File
@@ -85,10 +85,8 @@ explain analyze
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -141,7 +139,6 @@ explain analyze
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
tests/cases/standalone/optimizer/last_value_advance.result
-53
View File
@@ -111,10 +111,8 @@ explain analyze
|_|_|_|
| 1_| 0_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -167,7 +165,6 @@ explain analyze
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":0, "files":1, "file_ranges":1}, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -244,8 +241,6 @@ order by ordered_host;
|_|_TableScan: t_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -273,38 +268,30 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@1 as host], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.not_pk) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -335,7 +322,6 @@ explain select last_value(ts order by ts) from t;
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -359,25 +345,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -427,10 +409,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -462,31 +442,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST]@1 as ordered_host, last_value(t.val) ORDER BY [t.ts ASC NULLS LAST]@2 as last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]@3 as last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[last_value(t.host) ORDER BY [t.ts ASC NULLS LAST], last_value(t.val) ORDER BY [t.ts ASC NULLS LAST], last_value(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t.ts)@0 as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@0) as date_bin(Utf8("5 milliseconds"),t.ts)], aggr=[__last_value_state(t.host) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.val) ORDER BY [t.ts ASC NULLS LAST], __last_value_state(t.ts) ORDER BY [t.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
@@ -550,7 +522,6 @@ explain
| physical_plan | AggregateExec: mode=Final, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalescePartitionsExec_|
|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -574,25 +545,21 @@ explain analyze
| 0_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=Final, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[], aggr=[__last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 1_|
@@ -637,8 +604,6 @@ order by ordered_host;
|_|_TableScan: t1_|
|_| ]]_|
| physical_plan | SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST]_|
|_|_CooperativeExec_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -665,38 +630,30 @@ order by ordered_host;
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 1_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
| 1_| 2_|_SortPreservingMergeExec: [ordered_host@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[host@0 as host], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED, "selector":"LastRow" REDACTED
|_|_|_|
|_|_| Total rows: 4_|
@@ -746,10 +703,8 @@ order by time_window, ordered_host;
|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window]_|
|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CoalesceBatchesExec: target_batch_size=8192_|
|_|_RepartitionExec: REDACTED
|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]]_|
|_|_CooperativeExec_|
|_|_MergeScanExec: REDACTED
|_|_|
+-+-+
@@ -781,31 +736,23 @@ order by time_window, ordered_host;
|_|_|_SortExec: expr=[time_window@3 ASC NULLS LAST, ordered_host@0 ASC NULLS LAST], preserve_REDACTED
|_|_|_ProjectionExec: expr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST]@1 as ordered_host, last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST]@2 as last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]@3 as last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST], date_bin(Utf8("5 milliseconds"),t1.ts)@0 as time_window] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[last_value(t1.host) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.val) ORDER BY [t1.ts ASC NULLS LAST], last_value(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
| 1_| 2_|_AggregateExec: mode=FinalPartitioned, gby=[date_bin(Utf8("5 milliseconds"),t1.ts)@0 as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[date_bin(IntervalMonthDayNano { months: 0, days: 0, nanoseconds: 5000000 }, ts@1) as date_bin(Utf8("5 milliseconds"),t1.ts)], aggr=[__last_value_state(t1.host) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.val) ORDER BY [t1.ts ASC NULLS LAST], __last_value_state(t1.ts) ORDER BY [t1.ts ASC NULLS LAST]] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":REDACTED REDACTED
|_|_|_|
|_|_| Total rows: 2_|
tests/cases/standalone/optimizer/order_by.result
+69 -76
View File
@@ -1,101 +1,96 @@
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers;
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | CooperativeExec |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number desc;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC] |
| | CooperativeExec |
| | SortExec: expr=[number@0 DESC], preserve_partitioning=[true] |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC] |
| | CooperativeExec |
| | SortExec: expr=[number@0 DESC], preserve_partitioning=[true] |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number asc;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST] |
| | CooperativeExec |
| | SortExec: expr=[number@0 ASC NULLS LAST], preserve_partitioning=[true] |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST] |
| | CooperativeExec |
| | SortExec: expr=[number@0 ASC NULLS LAST], preserve_partitioning=[true] |
| | RepartitionExec: partitioning=REDACTED
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number desc limit 10;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC], fetch=10 |
| | CooperativeExec |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number DESC NULLS FIRST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 DESC], fetch=10 |
| | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | SortExec: TopK(fetch=10), expr=[number@0 DESC], preserve_partitioning=[false] |
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | SortExec: TopK(fetch=10), expr=[number@0 DESC], preserve_partitioning=[false] |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED
explain select * from numbers order by number asc limit 10;
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST], fetch=10 |
| | CooperativeExec |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | Limit: skip=0, fetch=10 |
| | Sort: numbers.number ASC NULLS LAST |
| | Projection: numbers.number |
| | TableScan: numbers |
| | ]] |
| physical_plan | SortPreservingMergeExec: [number@0 ASC NULLS LAST], fetch=10 |
| | CooperativeExec |
| | RepartitionExec: partitioning=REDACTED
| | SortExec: TopK(fetch=10), expr=[number@0 ASC NULLS LAST], preserve_partitioning=[false] |
| | CooperativeExec |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | SortExec: TopK(fetch=10), expr=[number@0 ASC NULLS LAST], preserve_partitioning=[false] |
| | StreamScanAdapter: [<SendableRecordBatchStream>], schema: [Schema { fields: [Field { name: "number", data_type: UInt32 }], metadata: {"greptime:version": "0"} }] |
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
CREATE TABLE test_pk(pk INTEGER PRIMARY KEY, i INTEGER, t TIMESTAMP TIME INDEX) WITH('compaction.type'='twcs');
@@ -150,7 +145,6 @@ EXPLAIN ANALYZE SELECT i, t AS alias_ts FROM test_pk ORDER BY t DESC LIMIT 5;
|_|_|_WindowedSortExec: expr=alias_ts@1 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=alias_ts@1 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_ProjectionExec: expr=[i@0 as i, t@1 as alias_ts, t@1 as t] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
@@ -174,7 +168,6 @@ EXPLAIN ANALYZE SELECT i, t AS alias_ts FROM test_pk ORDER BY alias_ts DESC LIMI
|_|_|_WindowedSortExec: expr=alias_ts@1 DESC num_ranges=REDACTED fetch=5 REDACTED
|_|_|_PartSortExec: expr=alias_ts@1 DESC num_ranges=REDACTED limit=5 REDACTED
|_|_|_ProjectionExec: expr=[i@0 as i, t@1 as alias_ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 5_|
tests/cases/standalone/optimizer/windowed_sort.result
-6
View File
@@ -73,7 +73,6 @@ ORDER BY
| 1_| 0_|_SortPreservingMergeExec: [collect_time@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[collect_time@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[collect_time_utc@0 as collect_time, peak_current@1 as peak_current] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -123,7 +122,6 @@ ORDER BY
| 1_| 0_|_SortPreservingMergeExec: [collect_time_0@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[collect_time_0@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_ProjectionExec: expr=[collect_time_utc@0 as collect_time_0, peak_current@1 as peak_current] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -177,7 +175,6 @@ ORDER BY
|_|_|_WindowedSortExec: expr=true_collect_time@0 DESC num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=true_collect_time@0 DESC num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[collect_time@0 as true_collect_time, collect_time_utc@1 as collect_time, peak_current@2 as peak_current] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -231,7 +228,6 @@ ORDER BY
|_|_|_WindowedSortExec: expr=true_collect_time@1 DESC num_ranges=REDACTED REDACTED
|_|_|_PartSortExec: expr=true_collect_time@1 DESC num_ranges=REDACTED REDACTED
|_|_|_ProjectionExec: expr=[collect_time_utc@1 as collect_time, collect_time@0 as true_collect_time, peak_current@2 as peak_current] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeqScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0} REDACTED
|_|_|_|
|_|_| Total rows: 8_|
@@ -289,13 +285,11 @@ TQL ANALYZE('2023-10-01 00:00:00.000'::TIMESTAMP, '2023-10-01 00:00:05.000'::TIM
| 1_| 0_|_SortPreservingMergeExec: [greptime_timestamp@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[greptime_timestamp@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(instance_job_REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(instance_job_REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@0 as greptime_timestamp, greptime_value@1 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[1696118400000..1696118405000], lookback=[300000], interval=[1000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesDivideExec: tags=["instance", "job"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 5_|
tests/cases/standalone/tql-explain-analyze/analyze.result
+2 -10
View File
@@ -159,8 +159,7 @@ TQL ANALYZE (0, 10, '5s') rate(test[10s]);
| 0_| 0_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(j_range,i,j,Int64(10000))@1 IS NOT NULL REDACTED
| 1_| 0_|_FilterExec: prom_rate(j_range,i,j,Int64(10000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_rate(j_range@4, i@0, j@1, 10000) as prom_rate(j_range,i,j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[10000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
@@ -168,8 +167,7 @@ TQL ANALYZE (0, 10, '5s') rate(test[10s]);
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(j_range,i,j,Int64(10000))@1 IS NOT NULL REDACTED
| 1_| 1_|_FilterExec: prom_rate(j_range,i,j,Int64(10000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[j@1 as j, prom_rate(j_range@4, i@0, j@1, 10000) as prom_rate(j_range,i,j,Int64(10000)), k@2 as k, l@3 as l] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[10000], time index=[j] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[j], filter NaN: [true] REDACTED
@@ -288,30 +286,24 @@ TQL ANALYZE sum(test2);
| 0_| 0_|_SortPreservingMergeExec: [greptime_timestamp@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[greptime_timestamp@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(test2.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[sum(test2.greptime_value)] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_|
| 1_| 0_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(test2.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(test2.greptime_value)] REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@0 as greptime_timestamp, greptime_value@1 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..0], lookback=[300000], interval=[300000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesDivideExec: tags=["shard"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 1_|_AggregateExec: mode=FinalPartitioned, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(test2.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[greptime_timestamp@0 as greptime_timestamp], aggr=[__sum_state(test2.greptime_value)] REDACTED
|_|_|_ProjectionExec: expr=[greptime_timestamp@0 as greptime_timestamp, greptime_value@1 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..0], lookback=[300000], interval=[300000], time index=[greptime_timestamp] REDACTED
|_|_|_PromSeriesDivideExec: tags=["shard"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":0, "mem_ranges":0, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
tests/cases/standalone/tql-explain-analyze/column_pruning.result
-5
View File
@@ -40,13 +40,11 @@ TQL ANALYZE (0, 10, '5s') sum(promql_column_pruning);
| 1_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[sum(promql_column_pruning.greptime_value)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[sum(promql_column_pruning.greptime_value)] REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, greptime_value@4 as greptime_value] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["job", "instance", "region"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -70,16 +68,13 @@ TQL ANALYZE (0, 10, '5s') sum(rate(promql_column_pruning[5s]));
| 1_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[sum(prom_rate(ts_range,greptime_value,ts,Int64(5000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[sum(prom_rate(ts_range,greptime_value,ts,Int64(5000)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_rate(ts_range,greptime_value,ts,Int64(5000))@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[ts@0 as ts, prom_rate(ts_range@5, greptime_value@4, ts@0, 5000) as prom_rate(ts_range,greptime_value,ts,Int64(5000))] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[ts], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["job", "instance", "region"] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 0_|
tests/cases/standalone/tql-explain-analyze/tsid_column.result
-12
View File
@@ -48,14 +48,12 @@ TQL ANALYZE (0, 10, '5s') sum(tsid_metric);
| 1_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[sum(tsid_metric.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@1 as ts], aggr=[sum(tsid_metric.val)] REDACTED
|_|_|_ProjectionExec: expr=[val@0 as val, ts@2 as ts] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[val@1 as val, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 3_|
@@ -79,13 +77,11 @@ TQL ANALYZE (0, 10, '5s') sum by (job, instance) (tsid_metric);
| 1_| 0_|_SortPreservingMergeExec: [job@0 ASC NULLS LAST, instance@1 ASC NULLS LAST, ts@2 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[job@0 ASC NULLS LAST, instance@1 ASC NULLS LAST, ts@2 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[job@0 as job, instance@1 as instance, ts@2 as ts], aggr=[sum(tsid_metric.val), __tsid] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[job@2 as job, instance@1 as instance, ts@4 as ts], aggr=[sum(tsid_metric.val), __tsid] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[val@1 as val, instance@3 as instance, job@4 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 6_|
@@ -104,11 +100,9 @@ TQL ANALYZE (0, 10, '5s') sum(irate(tsid_metric[1h])) / scalar(count(count(tsid
| stage | node | plan_|
+-+-+-+
| 0_| 0_|_ProjectionExec: expr=[ts@1 as ts, sum(prom_irate(ts_range,val))@2 / scalar(count(count(tsid_metric.val)))@0 as lhs.sum(prom_irate(ts_range,val)) / rhs.scalar(count(count(tsid_metric.val)))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_REDACTED
|_|_|_ScalarCalculateExec: tags=[] REDACTED
|_|_|_CoalescePartitionsExec REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_MergeScanExec: REDACTED
@@ -116,35 +110,29 @@ TQL ANALYZE (0, 10, '5s') sum(irate(tsid_metric[1h])) / scalar(count(count(tsid
| 1_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[count(count(tsid_metric.val))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[count(count(tsid_metric.val))] REDACTED
|_|_|_ProjectionExec: expr=[ts@1 as ts, count(tsid_metric.val)@2 as count(tsid_metric.val)] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[job@0 as job, ts@1 as ts], aggr=[count(tsid_metric.val)] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[job@1 as job, ts@2 as ts], aggr=[count(tsid_metric.val)] REDACTED
|_|_|_ProjectionExec: expr=[val@0 as val, job@1 as job, ts@3 as ts] REDACTED
|_|_|_PromInstantManipulateExec: range=[0..10000], lookback=[300000], interval=[5000], time index=[ts] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[val@1 as val, job@3 as job, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
| 1_| 0_|_SortPreservingMergeExec: [ts@0 ASC NULLS LAST] REDACTED
|_|_|_SortExec: expr=[ts@0 ASC NULLS LAST], preserve_partitioning=[true] REDACTED
|_|_|_AggregateExec: mode=FinalPartitioned, gby=[ts@0 as ts], aggr=[sum(prom_irate(ts_range,val))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_RepartitionExec: partitioning=REDACTED
|_|_|_AggregateExec: mode=Partial, gby=[ts@0 as ts], aggr=[sum(prom_irate(ts_range,val))] REDACTED
|_|_|_CoalesceBatchesExec: target_batch_size=8192 REDACTED
|_|_|_FilterExec: prom_irate(ts_range,val)@1 IS NOT NULL REDACTED
|_|_|_ProjectionExec: expr=[ts@2 as ts, prom_irate(ts_range@3, val@0) as prom_irate(ts_range,val)] REDACTED
|_|_|_PromRangeManipulateExec: req range=[0..10000], interval=[5000], eval range=[3600000], time index=[ts] REDACTED
|_|_|_PromSeriesNormalizeExec: offset=[0], time index=[ts], filter NaN: [true] REDACTED
|_|_|_PromSeriesDivideExec: tags=["__tsid"] REDACTED
|_|_|_ProjectionExec: expr=[val@1 as val, __tsid@2 as __tsid, ts@0 as ts] REDACTED
|_|_|_CooperativeExec REDACTED
|_|_|_SeriesScan: region=REDACTED, "partition_count":{"count":1, "mem_ranges":1, "files":0, "file_ranges":0}, "distribution":"PerSeries" REDACTED
|_|_|_|
|_|_| Total rows: 2_|