IGNITE-28899 Calcite. Fix litmus error during join by zstan · Pull Request #13389 · apache/ignite

zstan · 2026-07-21T14:29:49Z

https://issues.apache.org/jira/browse/IGNITE-28899

zstan · 2026-07-24T10:09:21Z

+                continue;
+
+            // Keys can relate to affinity not pk, just assumption here.
+            ImmutableIntList distKeys = table.distribution().getKeys();


of course we need to have 'real pk' here, but fix it right now - seems too huge.

Check for columns description with key() is too huge?

For broadcast table and for tables with affinity column defined estimation is wrong. I thing it's a relatively big part of all cases.

fixed

not so clear, seems it partially fixed

zstan · 2026-07-24T10:27:36Z

            inputRows += mq.getRowCount(input);

-        double mem = 0.5 * inputRows * aggregateFieldsCount() * IgniteCost.AVERAGE_FIELD_SIZE;
+        double mem = 0.7 * inputRows * aggregateFieldsCount() * IgniteCost.AVERAGE_FIELD_SIZE;


empiric constants need to be fixed cause row count estimation is changed for now and some tests (2-3) are fails, all empirics need to be reevaluated during further (i hope) statistics activity changes.

zstan · 2026-07-24T10:38:57Z

        prepareTables();

-        String sql = "SELECT sum(i.price * i.amount)" +
+        String sql = "SELECT /*+ MERGE_JOIN */ sum(i.price * i.amount)" +


Sometimes i observe hashJoin here, i really don`t know what algo is more preferably here and i think it need to be discovered more accurate in further activities.

zstan · 2026-07-24T10:50:44Z

+    private static final int DATE_DIM_SIZE = 73_049;
+
+    /** */
+    private static final String SELECT = "SELECT /*+ DISABLE_RULE(" +


Of course it work perfectly well without this disablings, i just afraid about some king of flaky...

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Pull request overview

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Updates Calcite planner metadata/costing and merge-join execution behavior to address a Calcite litmus failure seen during join planning/execution (IGNITE-28899), and adds regression tests to cover the scenario.

Changes:

Reworked join row-count estimation and adjusted join cost formulas/constants to influence plan selection.
Modified merge-join runtime node control flow around buffering and early termination.
Added new planner/integration tests and updated several existing assertions to match the new behavior.

Reviewed changes

Copilot reviewed 23 out of 23 changed files in this pull request and generated 6 comments.

Show a summary per file

File	Description
modules/calcite/src/test/java/org/apache/ignite/testsuites/PlannerTestSuite.java	Registers the new join row-count estimation planner test in the suite.
modules/calcite/src/test/java/org/apache/ignite/testsuites/IntegrationTestSuite.java	Adds the new litmus regression integration test to the suite.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/hints/JoinTypeHintPlannerTest.java	Relaxes/adjusts hint-related plan assertions (notably around wrong-table hints).
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/UncollectPlannerTest.java	Updates plan shape expectations for UNNEST + join planning.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/PlanSplitterTest.java	Refactors colocation assignments setup to reuse a single assignments instance.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/JoinRowCountEstimationTest.java	New planner tests validating join row-count estimation logic.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/CorrelatedSubqueryPlannerTest.java	Updates plan assertion for table scan condition presence.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/planner/AggregatePlannerTest.java	Removes an early return that skipped part of a test scenario.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/integration/QueryBlockingTaskExecutorIntegrationTest.java	Adds hint to force merge join and simplifies plan matching into a single regex check.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/integration/LitmusCheckIntegrationTest.java	New integration test meant to catch Calcite litmus exceptions/regressions.
modules/calcite/src/test/java/org/apache/ignite/internal/processors/query/calcite/integration/DistributedJoinIntegrationTest.java	Forces MERGE_JOIN via hint for deterministic join plan coverage.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/util/Commons.java	Adds a helper to build a target mapping from a projected bitset.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/rel/set/IgniteSetOp.java	Adjusts memory estimation coefficient used in set-op costing.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/rel/IgniteNestedLoopJoin.java	Revises NLJ cost computation to use metadata row-count and applies an additional penalty factor.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/rel/IgniteMergeJoin.java	Revises merge join cost computation to use metadata row-count.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/rel/IgniteHashJoin.java	Revises hash join cost computation to use metadata row-count.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/rel/IgniteCorrelatedNestedLoopJoin.java	Revises CNLJ cost computation to use metadata row-count.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/metadata/cost/IgniteCost.java	Changes the hash lookup cost constant affecting planner decisions.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/metadata/IgniteMdSelectivity.java	Updates metadata provider wiring and exposes selectivity constants for tests/consumers.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/metadata/IgniteMdRowCount.java	Implements custom join row-count estimation with PK/FK heuristics and new metadata provider wiring.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/metadata/IgniteMdColumnOrigins.java	Updates metadata provider wiring and minor indentation cleanup.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/exec/rel/MergeJoinNode.java	Reworks buffering/join scheduling and replaces “finishing” cleanup with immediate downstream end conditions.
modules/calcite/src/main/java/org/apache/ignite/internal/processors/query/calcite/CalciteQueryProcessor.java	Removes a previously-added workaround disabling Correlate assertions.

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zstan · 2026-08-20T06:14:58Z

-        assertPlan(sql, schema, hasFragmentsCount(3).and(hasChildThat(isInstanceOf(IgniteTrimExchange.class))));
+        // First table is replicated and planned with Exchange to colocate data, but set of nodes for partitioned
+        // table is differ, so exchange is added after fragments split for colocation.
+        assertPlan(sql, schema, hasFragmentsCount(3)


Current plan:

IgniteMergeJoin(condition=[=($0, $3)], joinType=[inner]): rowcount = 5.625E9, cumulative cost = IgniteCost [rowCount=5.627075E9, cpu=2.2525784224829422E10, memory=4900000.0, io=0.0, network=4000000.0] IgniteSort(sort0=[$0], dir0=[ASC]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=4600679.76331665, memory=900000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0] IgniteExchange(distribution=[single]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1500000.0, cpu=2.118354506610649E7, memory=4000000.0, io=0.0, network=4000000.0] IgniteSort(sort0=[$0], dir0=[ASC]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1000000.0, cpu=2.068354506610649E7, memory=4000000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0]

master branch plan:

IgniteProject(ID=[$2], NAME=[$3], PROJECTID=[$4], ID0=[$0], VER0=[$1]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1672500.0, cpu=8572500.0, memory=1170000.0, io=0.0, network=225000.0] IgniteExchange(distribution=[single]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1661250.0, cpu=8561250.0, memory=1170000.0, io=0.0, network=225000.0] IgniteHashJoin(condition=[=($2, $0)], joinType=[inner]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1650000.0, cpu=8550000.0, memory=1170000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0] IgniteTrimExchange(distribution=[affinity[identity=hash, cacheId=1355342585][0]]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=2300000.0, memory=0.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0]

zstan · 2026-08-20T07:16:32Z

-        // fragments split to send data to initiator node.
-        assertPlan(sql, schema, hasFragmentsCount(3).and(hasChildThat(isInstanceOf(IgniteTrimExchange.class))));
+        // table is differ, so exchange is added after fragments split for colocation.
+        assertPlan(sql, schema, hasFragmentsCount(2)


Current plan:

IgniteMergeJoin(condition=[=($2, $3)], joinType=[inner], variablesSet=[[]], leftCollation=[[2]], rightCollation=[[0]]): rowcount = 5.625E9, cumulative cost = IgniteCost [rowCount=5.627075E9, cpu=2.2525784224829422E10, memory=4900000.0, io=0.0, network=4000000.0], id = 3041 IgniteSort(sort0=[$2], dir0=[ASC]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=4600679.76331665, memory=900000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0] IgniteExchange(distribution=[single]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1500000.0, cpu=2.118354506610649E7, memory=4000000.0, io=0.0, network=4000000.0] IgniteSort(sort0=[$0], dir0=[ASC]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1000000.0, cpu=2.068354506610649E7, memory=4000000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0]

master branch plan:

IgniteProject(ID=[$2], NAME=[$3], PROJECTID=[$4], ID0=[$0], VER0=[$1]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1672500.0, cpu=8572500.0, memory=1170000.0, io=0.0, network=225000.0] IgniteExchange(distribution=[single]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1661250.0, cpu=8561250.0, memory=1170000.0, io=0.0, network=225000.0] IgniteHashJoin(condition=[=($4, $0)], joinType=[inner], variablesSet=[[]]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1650000.0, cpu=8550000.0, memory=1170000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0] IgniteTrimExchange(distribution=[affinity[identity=hash, cacheId=1355342585][2]]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=2300000.0, memory=0.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0]

zstan · 2026-08-20T07:30:37Z

-        assertPlan(sql, schema, hasFragmentsCount(3).and(hasChildThat(isInstanceOf(IgniteTrimExchange.class))));
+        // First table is replicated and planned with Exchange to colocate data, but set of nodes for partitioned
+        // table is differ, so exchange is added after fragments split for colocation.
+        assertPlan(sql, schema, hasFragmentsCount(2)


Current plan:

IgniteMergeJoin(condition=[=($0, $3)], joinType=[inner], variablesSet=[[]], leftCollation=[[0]], rightCollation=[[0]]): rowcount = 5.625E9, cumulative cost = IgniteCost [rowCount=5.627075E9, cpu=2.2525784224829422E10, memory=4900000.0, io=0.0, network=4000000.0] IgniteSort(sort0=[$0], dir0=[ASC]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=4600679.76331665, memory=900000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0] IgniteExchange(distribution=[single]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1500000.0, cpu=2.118354506610649E7, memory=4000000.0, io=0.0, network=4000000.0] IgniteSort(sort0=[$0], dir0=[ASC]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=1000000.0, cpu=2.068354506610649E7, memory=4000000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0]

master branch plan:

IgniteProject(ID=[$2], NAME=[$3], PROJECTID=[$4], ID0=[$0], VER0=[$1]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1672500.0, cpu=8572500.0, memory=1170000.0, io=0.0, network=225000.0] IgniteExchange(distribution=[single]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1661250.0, cpu=8561250.0, memory=1170000.0, io=0.0, network=225000.0] IgniteHashJoin(condition=[=($2, $0)], joinType=[inner], variablesSet=[[]]): rowcount = 11250.0, cumulative cost = IgniteCost [rowCount=1650000.0, cpu=8550000.0, memory=1170000.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 500000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=500000.0, memory=0.0, io=0.0, network=0.0] IgniteTrimExchange(distribution=[affinity[identity=hash, cacheId=1355342585][0]]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=575000.0, cpu=2300000.0, memory=0.0, io=0.0, network=0.0] IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 75000.0, cumulative cost = IgniteCost [rowCount=500000.0, cpu=2000000.0, memory=0.0, io=0.0, network=0.0]

Also want to show that previously expected plan still possible but for lower table size, if we try to change
protected static final int DEFAULT_TBL_SIZE = 10;//500_000;
below plan will be raized:

IgniteProject(ID=[$2], NAME=[$3], PROJECTID=[$4], ID0=[$0], VER0=[$1]): rowcount = 2.25, cumulative cost = IgniteCost [rowCount=28.25, cpu=83.0, memory=23.4, io=0.0, network=45.0], id = 4147 IgniteExchange(distribution=[single]): rowcount = 2.25, cumulative cost = IgniteCost [rowCount=26.0, cpu=80.75, memory=23.4, io=0.0, network=45.0], id = 4146 IgniteHashJoin(condition=[=($2, $0)], joinType=[inner], variablesSet=[[]]): rowcount = 2.25, cumulative cost = IgniteCost [rowCount=23.75, cpu=78.5, memory=23.4, io=0.0, network=0.0], id = 4145 IgniteTableScan(table=[[PUBLIC, PROJECT]], requiredColumns=[{0, 2}]): rowcount = 10.0, cumulative cost = IgniteCost [rowCount=10.0, cpu=10.0, memory=0.0, io=0.0, network=0.0], id = 1784 IgniteTrimExchange(distribution=[affinity[identity=hash, cacheId=1355342585][0]]): rowcount = 1.5, cumulative cost = IgniteCost [rowCount=11.5, cpu=46.0, memory=0.0, io=0.0, network=0.0], id = 4144 IgniteTableScan(table=[[PUBLIC, DEVELOPER]], filters=[=(+($t2, 1), ?0)]): rowcount = 1.5, cumulative cost = IgniteCost [rowCount=10.0, cpu=40.0, memory=0.0, io=0.0, network=0.0], id = 1793

Thus i think - if we want a fine tuning here - it need to be done under different issue.

zstan · 2026-08-26T05:58:02Z

Current cut shows:

TpchBenchmark, scale = 0.01, q = 5. (H2 just for comparison here, not related to an issue of course)

PR:
Benchmark             (engine)  (queryId)  (scale)  Mode  Cnt     Score     Error  Units
TpchBenchmark.cached   CALCITE          5     0.01  avgt    3    25.519 ±   4.548  ms/op
TpchBenchmark.cached        H2          5     0.01  avgt    3   193.700 ± 168.796  ms/op
TpchBenchmark.cold     CALCITE          5     0.01    ss       1093.271            ms/op
TpchBenchmark.cold          H2          5     0.01    ss        816.027            ms/op

master 
Benchmark             (engine)  (queryId)  (scale)  Mode  Cnt     Score    Error  Units
TpchBenchmark.cached   CALCITE          5     0.01  avgt    3   566.541 ± 49.195  ms/op
TpchBenchmark.cold     CALCITE          5     0.01    ss       1564.145           ms/op

tkalkirill · 2026-08-26T07:33:52Z

Perhaps it would be more correct to compare before and after your changes?

zstan · 2026-10-29T14:13:11Z

@alex-plekhanov Seems I fix all your wishes, one thing not clear for me, this comment : "For broadcast table and for tables with affinity column defined estimation is wrong. I thing it's a relatively big part of all cases." I fix a bit .. but seems we have no appropriate tests? Or I`m wrong ?

alex-plekhanov · 2026-10-30T12:10:42Z

+                    return false;
+
+                double val = ((Integer)o).doubleValue();
+                // IgniteMdRowCount.EQUI_COEFF with a bit overhead


No more EQUI_COEFF in the code

alex-plekhanov · 2026-10-30T12:12:21Z

+    private static final double NON_EQUI_COEFF = 0.7;
+
+    /** */
+    public static final double INTERSECT_ESTIMATE_COEFF = 0.8;


Can be private

zstan · 2026-10-30T12:58:50Z

PR
Benchmark             (engine)  (queryId)  (scale)  Mode  Cnt     Score    Error  Units
TpchBenchmark.cached   CALCITE          5     0.01  avgt    3    34.260 ± 20.600  ms/op
TpchBenchmark.cold     CALCITE          5     0.01    ss       1024.090           ms/op

master
Benchmark             (engine)  (queryId)  (scale)  Mode  Cnt     Score     Error  Units
TpchBenchmark.cached   CALCITE          5     0.01  avgt    3   649.602 ± 147.292  ms/op
TpchBenchmark.cold     CALCITE          5     0.01    ss       1649.566            ms/op

zstan · 2026-10-30T15:35:23Z

PR
TpchBenchmark.cold     CALCITE          1     0.01    ss        579.535           ms/op
TpchBenchmark.cold     CALCITE          2     0.01    ss       1267.930           ms/op
TpchBenchmark.cold     CALCITE          3     0.01    ss       1709.587           ms/op
TpchBenchmark.cold     CALCITE          4     0.01    ss        642.988           ms/op
TpchBenchmark.cold     CALCITE          6     0.01    ss        287.134           ms/op
TpchBenchmark.cold     CALCITE          7     0.01    ss       1754.577           ms/op

master
TpchBenchmark.cold     CALCITE          1     0.01    ss        522.240           ms/op
TpchBenchmark.cold     CALCITE          2     0.01    ss        965.328           ms/op
TpchBenchmark.cold     CALCITE          3     0.01    ss       1305.522           ms/op
TpchBenchmark.cold     CALCITE          4     0.01    ss        661.892           ms/op
TpchBenchmark.cold     CALCITE          6     0.01    ss        358.714           ms/op
TpchBenchmark.cold     CALCITE          7     0.01    ss        923.471           ms/op

zstan force-pushed the ignite-28899 branch from bd1871e to f68fd75 Compare July 23, 2026 06:25

zstan commented Jul 23, 2026

View reviewed changes

Comment thread ...rc/main/java/org/apache/ignite/internal/processors/query/calcite/exec/rel/MergeJoinNode.java Resolved

zstan commented Jul 23, 2026

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Comment thread ...main/java/org/apache/ignite/internal/processors/query/calcite/metadata/IgniteMdRowCount.java Resolved

zstan commented Jul 24, 2026

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Comment thread .../main/java/org/apache/ignite/internal/processors/query/calcite/metadata/cost/IgniteCost.java Resolved

zstan commented Jul 24, 2026

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Comment thread ...t/java/org/apache/ignite/internal/processors/query/calcite/planner/UncollectPlannerTest.java Resolved

zstan force-pushed the ignite-28899 branch from 5c99502 to 62aa8ed Compare July 24, 2026 12:29

zstan marked this pull request as ready for review July 24, 2026 12:30

zstan requested a review from Copilot July 24, 2026 12:30

Copilot AI reviewed Jul 24, 2026

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Copilot started reviewing on behalf of zstan July 24, 2026 13:00

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zstan force-pushed the ignite-28899 branch from 62aa8ed to 13417a9 Compare August 11, 2026 14:23

zstan force-pushed the ignite-28899 branch 3 times, most recently from a6dbda5 to eea65ee Compare August 19, 2026 13:54

zstan commented Aug 20, 2026

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zstan force-pushed the ignite-28899 branch 3 times, most recently from 809cdcb to 063753c Compare August 20, 2026 11:08

tkalkirill reviewed Aug 24, 2026

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zstan added 2 commits August 25, 2026 17:52

IGNITE-28899 Calcite. Fix litmus error during join

4b959cc

fix after review

e6b318b

zstan force-pushed the ignite-28899 branch from 7743097 to e6b318b Compare August 25, 2026 14:52

zstan and others added 15 commits October 23, 2026 10:02

fix

b2e2306

fix after review 2

0e80418

fix after review 3

f2b2705

litmus test fix, all other tests are ok

038cf37

IgniteMd* reflection methods fix

5a3b459

full join estimation changes

d515947

postFiltrationAdjustment fix

0c2c568

IndexWithSameNameCalciteTest fix

75e5a7c

Merge branch 'master' into ignite-28899

d1838da

remove EQUI_COEFF

c2fd274

distribution to real affinity

ada32a4

pk fix

dabb6cf

estimate coeff

bde467f

fix tests, estimations

3e662b4

code style

02d06cd

zstan and others added 3 commits October 29, 2026 21:36

'fix'

052988e

estimate test fix

79d4910

safe selectivity

efadb66

alex-plekhanov reviewed Oct 30, 2026

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zstan added 3 commits October 30, 2026 14:54

braces fix

b2090a9

UncollectPlannerTest fix

6471df4

fix after review

704a6c6

alex-plekhanov reviewed Oct 30, 2026

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alex-plekhanov approved these changes Oct 30, 2026

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full join with FK_ON_PK estimation fix

2ed8598

Merge branch 'master' into ignite-28899

8f517da

zstan merged commit afcbdac into apache:master Nov 3, 2026
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zstan commented Aug 26, 2026

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tkalkirill commented Aug 26, 2026

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zstan commented Oct 30, 2026

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zstan commented Jul 21, 2026 •

edited by tkalkirill

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zstan Jul 24, 2026 •

edited

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