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chore: sqlness update

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Signed-off-by: discord9 <discord9@163.com>
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discord9
2026-03-20 18:28:49 +08:00
parent 4265f44700
commit 09022555c5
2 changed files with 47 additions and 47 deletions
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90
tests/cases/distributed/explain/step_aggr_advance.result
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@@ -442,54 +442,54 @@ Affected Rows: 0
-- SQLNESS REPLACE (Hash.*) REDACTED
tql explain (1752591864, 1752592164, '30s') sum by (a, b, c) (rate(aggr_optimize_not [2m])) / sum by (a, b, c) (rate(aggr_optimize_not_count [2m]));
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp, 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))) 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))) |
| | Inner Join: aggr_optimize_not.a = aggr_optimize_not_count.a, aggr_optimize_not.b = aggr_optimize_not_count.b, aggr_optimize_not.c = aggr_optimize_not_count.c, aggr_optimize_not.greptime_timestamp = aggr_optimize_not_count.greptime_timestamp |
| | MergeSort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: aggr_optimize_not |
| | Sort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
| | Aggregate: groupBy=[[aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
| | Projection: aggr_optimize_not.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.d |
| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
| | Sort: aggr_optimize_not.a ASC NULLS FIRST, aggr_optimize_not.b ASC NULLS FIRST, aggr_optimize_not.c ASC NULLS FIRST, aggr_optimize_not.d ASC NULLS FIRST, aggr_optimize_not.greptime_timestamp ASC NULLS FIRST |
| | Filter: aggr_optimize_not.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
| | TableScan: aggr_optimize_not |
| | ]] |
| | SubqueryAlias: aggr_optimize_not_count |
| | Sort: aggr_optimize_not_count.a ASC NULLS LAST, aggr_optimize_not_count.b ASC NULLS LAST, aggr_optimize_not_count.c ASC NULLS LAST, aggr_optimize_not_count.greptime_timestamp ASC NULLS LAST |
| | Aggregate: groupBy=[[aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
| | Projection: aggr_optimize_not_count.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not_count.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c |
| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
| | Sort: aggr_optimize_not_count.a ASC NULLS FIRST, aggr_optimize_not_count.b ASC NULLS FIRST, aggr_optimize_not_count.c ASC NULLS FIRST, aggr_optimize_not_count.d ASC NULLS FIRST, aggr_optimize_not_count.greptime_timestamp ASC NULLS FIRST |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | Filter: aggr_optimize_not_count.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not_count.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
| | 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)))] |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | Projection: aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp, CAST(aggr_optimize_not.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) AS Float64) / CAST(aggr_optimize_not_count.sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000))) AS Float64) 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))) |
| | Inner Join: aggr_optimize_not.a = aggr_optimize_not_count.a, aggr_optimize_not.b = aggr_optimize_not_count.b, aggr_optimize_not.c = aggr_optimize_not_count.c, aggr_optimize_not.greptime_timestamp = aggr_optimize_not_count.greptime_timestamp |
| | MergeSort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | SubqueryAlias: aggr_optimize_not |
| | Sort: aggr_optimize_not.a ASC NULLS LAST, aggr_optimize_not.b ASC NULLS LAST, aggr_optimize_not.c ASC NULLS LAST, aggr_optimize_not.greptime_timestamp ASC NULLS LAST |
| | Aggregate: groupBy=[[aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
| | Projection: aggr_optimize_not.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not.a, aggr_optimize_not.b, aggr_optimize_not.c, aggr_optimize_not.d |
| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
| | Sort: aggr_optimize_not.a ASC NULLS FIRST, aggr_optimize_not.b ASC NULLS FIRST, aggr_optimize_not.c ASC NULLS FIRST, aggr_optimize_not.d ASC NULLS FIRST, aggr_optimize_not.greptime_timestamp ASC NULLS FIRST |
| | Filter: aggr_optimize_not.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
| | TableScan: aggr_optimize_not |
| | ]] |
| | SubqueryAlias: aggr_optimize_not_count |
| | Sort: aggr_optimize_not_count.a ASC NULLS LAST, aggr_optimize_not_count.b ASC NULLS LAST, aggr_optimize_not_count.c ASC NULLS LAST, aggr_optimize_not_count.greptime_timestamp ASC NULLS LAST |
| | Aggregate: groupBy=[[aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c, aggr_optimize_not_count.greptime_timestamp]], aggr=[[sum(prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)))]] |
| | Filter: prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)) IS NOT NULL |
| | Projection: aggr_optimize_not_count.greptime_timestamp, prom_rate(greptime_timestamp_range, greptime_value, aggr_optimize_not_count.greptime_timestamp, Int64(120000)) AS prom_rate(greptime_timestamp_range,greptime_value,greptime_timestamp,Int64(120000)), aggr_optimize_not_count.a, aggr_optimize_not_count.b, aggr_optimize_not_count.c |
| | PromRangeManipulate: req range=[1752591864000..1752592164000], interval=[30000], eval range=[120000], time index=[greptime_timestamp], values=["greptime_value"] |
| | PromSeriesNormalize: offset=[0], time index=[greptime_timestamp], filter NaN: [true] |
| | PromSeriesDivide: tags=["a", "b", "c", "d"] |
| | Sort: aggr_optimize_not_count.a ASC NULLS FIRST, aggr_optimize_not_count.b ASC NULLS FIRST, aggr_optimize_not_count.c ASC NULLS FIRST, aggr_optimize_not_count.d ASC NULLS FIRST, aggr_optimize_not_count.greptime_timestamp ASC NULLS FIRST |
| | MergeScan [is_placeholder=false, remote_input=[ |
| | Filter: aggr_optimize_not_count.greptime_timestamp >= TimestampMillisecond(1752591744001, None) AND aggr_optimize_not_count.greptime_timestamp <= TimestampMillisecond(1752592164000, None) |
| | 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)))] |
| | 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] |
| | 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
| | |
+---------------+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| | |
+---------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
-- SQLNESS REPLACE (metrics.*) REDACTED
-- SQLNESS REPLACE (RoundRobinBatch.*) REDACTED

4
tests/cases/standalone/common/tql/tql-cte.result
View File

@@ -427,8 +427,8 @@ SELECT min(val) as min_computed, max(val) as max_computed FROM computed;
| | Aggregate: groupBy=[[]], aggr=[[min(computed.val), max(computed.val)]] |
| | SubqueryAlias: computed |
| | Projection: metric.ts AS ts, val * Float64(2) + Float64(1) AS val |
| | Projection: metric.ts, val * Float64(2) + Float64(1) AS val * Float64(2) + Float64(1) |
| | Projection: metric.ts, metric.val * Float64(2) AS val * Float64(2) |
| | Projection: metric.ts, CAST(val * Float64(2) AS Float64) + Float64(1) AS val * Float64(2) + Float64(1) |
| | Projection: metric.ts, CAST(metric.val AS Float64) * Float64(2) AS val * Float64(2) |
| | PromInstantManipulate: range=[0..40000], lookback=[300000], interval=[10000], time index=[ts] |
| | PromSeriesDivide: tags=[] |
| | Filter: metric.ts >= TimestampMillisecond(-299999, None) AND metric.ts <= TimestampMillisecond(40000, None) |