Files
greptimedb/tests/cases/standalone/common/promql/encode_substrait.result
discord9andNing Sun 94d7e2c7fc feat!: upgrade DataFusion to 55 (#8555)
* feat!: upgrade DataFusion dependencies to 55

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* refactor: migrate DataFusion 55 APIs

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* fix: preserve table function planning behavior

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* fix: preserve PostgreSQL query compatibility

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* fix: preserve distributed execution plan behavior

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* test: cover DataFusion 55 behavior regressions

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* test: update DataFusion 55 SQLness expectations

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* fix: complete DataFusion 55 test API migration

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* fix: address DataFusion 55 CI regressions

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* fix: address remaining DataFusion 55 regressions

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* fix: adapt latest base code to DataFusion 55

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* test: normalize environment-specific DataFusion 55 plans

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* test: align final DataFusion 55 expectations

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* test: isolate DataFusion 55 regression cases

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* test: preserve empty result schema in timestamp widening

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* test: preserve JSON source column order

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* chore: use released DataFusion 55 integrations

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* test: adapt latest execution plan mock to DataFusion 55

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* fix: pin DataFusion recursive schema and date repairs

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* fix(promql): align dictionary temporality match keys

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* fix: retain Greptime DataFusion fork behaviors on version 55

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* test: restore ordinary function error expectations

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* test: refresh distributed count compatibility plan

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* fix(query): adapt last-row cast hint to DataFusion 55

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* test: refresh instant last-row empty results for Arrow 59

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* style: simplify DataFusion expression visitor imports

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* test: restore sorting and PostgreSQL column-order assertions

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* fix(function): restore primitive numeric coercion signatures

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* refactor(function): share geo integer signature types

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* test: cover timestamp widening overflow boundaries

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* test: fix decimal coercion regression imports

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* fix(function): preserve scalar count_hash NULL state semantics

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* test: simplify decimal clamp case type inference

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* test: retain historical count_hash wrapper result

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* fix: restore timestamp widening equality and IN pruning

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* fix: carry upstream aggregate dynamic filter correctness fix

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* fix: carry upstream null and predicate simplification fixes

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* test: restore baseline JSON ordering expectations

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* test: restore histogram JSON ordering expectations

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* test: refresh empty PromQL range result schemas

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* test: align native timestamp plan with DF55 decimal display

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* test: refresh native timestamp SQLness results for DF55

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* test: regenerate NULL sample empty result headers for DF55

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* test: use DF55 child replacement API in timestamp regressions

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* fix: expose pushed scan dynamic filters to DF55 producers

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* fix: encode string-backed PostgreSQL OID aliases in binary results

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* test: verify REGPROC binary and text over PostgreSQL protocol

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* test: register real PostgreSQL catalogs in server fixtures

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* fix: complete DF55 expression inventories for custom query plans

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* test: correct RangeSelect expression fixture and column identities

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* ci: wait for Kafka WAL helper deployment rollout

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* test: update custom storage empty result headers

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* fix: require exact row counts in scan statistics

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* fix: suppress deprecated partition_statistics warning in test

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---------

Signed-off-by: discord9 <55937128+discord9@users.noreply.github.com>
Co-authored-by: Ning Sun <sunng@protonmail.com>
2026-09-15 11:42:38 +00:00

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create table count_total (
ts timestamp time index,
tag_a string,
tag_b string,
val double,
primary key (tag_a, tag_b),
);
Affected Rows: 0
-- if `RangeManipulate` can be encoded/decoded correctly in substrait, the following queries should pass
-- SQLNESS REPLACE (peers.*) REDACTED
-- SQLNESS REPLACE (partitioning.*) REDACTED
tql explain (0, 100, '1s')
increase(count_total{
tag_a="ffa",
}[1h])[12h:1h];
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| plan_type | plan |
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| logical_plan | MergeScan [is_placeholder=false, remote_input=[ |
| | PromRangeManipulate: req range=[0..100000], interval=[1000], eval range=[43200000], time index=[ts], values=["prom_increase(ts_range,val,ts,Int64(3600000))"] |
| | PromSeriesDivide: tags=["tag_a", "tag_b"] |
| | Sort: count_total.tag_a ASC NULLS FIRST, count_total.tag_b ASC NULLS FIRST, count_total.ts ASC NULLS FIRST |
| | Filter: prom_increase(ts_range,val,ts,Int64(3600000)) IS NOT NULL |
| | Projection: count_total.ts, prom_increase(ts_range, val, count_total.ts, Int64(3600000)) AS prom_increase(ts_range,val,ts,Int64(3600000)), count_total.tag_a, count_total.tag_b |
| | PromRangeManipulate: req range=[-39600000..100000], interval=[3600000], eval range=[3600000], time index=[ts], values=["val"] |
| | PromSeriesNormalize: offset=[0], time index=[ts], filter NaN: [true] |
| | PromSeriesDivide: tags=["tag_a", "tag_b"] |
| | Sort: count_total.tag_a ASC NULLS FIRST, count_total.tag_b ASC NULLS FIRST, count_total.ts ASC NULLS FIRST |
| | Filter: count_total.tag_a = Utf8("ffa") AND count_total.ts >= TimestampMillisecond(-43199999, None) AND count_total.ts <= TimestampMillisecond(100000, None) |
| | TableScan: count_total, partial_filters=[count_total.tag_a = Utf8("ffa"), count_total.ts >= TimestampMillisecond(-43199999, None), count_total.ts <= TimestampMillisecond(100000, None)] |
| | ]] |
| physical_plan | CooperativeExec |
| | MergeScanExec: REDACTED
| | |
+---------------+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
tql eval (0, 100, '1s')
increase(count_total{
tag_a="ffa",
}[1h])[12h:1h];
+----+-----------------------------------------------+-------+-------+----------+
| ts | prom_increase(ts_range,val,ts,Int64(3600000)) | tag_a | tag_b | ts_range |
+----+-----------------------------------------------+-------+-------+----------+
+----+-----------------------------------------------+-------+-------+----------+
drop table count_total;
Affected Rows: 0