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[CALCITE-7620] Result of FILTER clause in window functions is incorrect#5040

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xuzifu666:filter_fix
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[CALCITE-7620] Result of FILTER clause in window functions is incorrect#5040
xuzifu666 wants to merge 3 commits into
apache:mainfrom
xuzifu666:filter_fix

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* partition by ORDER BY keys. The output order is therefore not defined by
* a simple collation in the general case, so we conservatively report no
* collations. */
public static @Nullable List<RelCollation> window(RelMetadataQuery mq, RelNode input,

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The reason for modifying RelMdCollation.window is that the original window sorting derivation was too optimistic, which would cause the optimizer to mistakenly believe that the window output retained the input order, thus mistakenly deleting the top-level Sort.
The original implementation had the following problem:

  1. Previously, RelMdCollation.window directly returned mq.collations(input), meaning "the window operator will preserve the order of the input rows as is." However, the actual implementation of EnumerableWindow first groups the rows by the PARTITION BY key using SortedMultiMap, and then sorts them within each group by the window ORDER BY key. Therefore, the input order is not preserved; the global output order is PARTITION BY keys + ORDER BY keys, not simply the input order.
    This caused the top-level Sort to be incorrectly optimized away.

  2. When order by empno is written in the SQL, if the window also happens to be sorted by empno, the optimizer will mistakenly assume that the window output is globally ordered, thus deleting the top-level EnumerableSort. The resulting output is grouped by deptno, not sorted by empno.

this.hints = calc.getHints();
this.cluster = calc.getCluster();
this.traits = calc.getTraitSet();
this.traits = calc.getTraitSet()

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The reason for modifying CalcRelSplitter.java is that when ProjectToWindowRule splits Calc/Project containing window functions, it passes the original node's trait set (including the contaminated collation) to the new node after splitting, causing the optimizer to incorrectly remove the top-level Sort before the window expands.

!ok

# Test 3: Multiple FILTER with OVER on different aggregates
select empno, deptno,

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another case

select ename, job, hiredate,
  avg(sal) over (order by hiredate rows 3 preceding) as avg_sal,
  avg(sal) filter (where job = 'MANAGER') over (order by hiredate rows 3 preceding)
    as avg_mgr_sal
from emp
order by hiredate;

@xuzifu666 xuzifu666 Jun 23, 2026

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OK, this test has been added; the AVG_MGR_SAL field is related to this filter modification, and the data is consistent with https://onecompiler.com/postgresql/44smkpfxb

@sonarqubecloud

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@xuzifu666

xuzifu666 commented Jun 24, 2026

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Do you happy with current changes? Because this issue affects the data quality of the filter, want to fix it as soon as possible so that this capability is usable in production. PTAL~ @iwanttobepowerful

EnumerableWindow(window#0=[window(partition {0} rows between UNBOUNDED PRECEDING and CURRENT ROW aggs [ROW_NUMBER()])], constants=[[false]])
EnumerableCalc(expr#0..2=[{inputs}], DEPTNO=[$t0])
EnumerableTableScan(table=[[scott, DEPT]])
EnumerableCalc(expr#0..2=[{inputs}], expr#3=[1], expr#4=[<=($t2, $t3)], proj#0..2=[{exprs}], $condition=[$t4])

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Curious about the motivation behind this update?

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This fix altered the sorting metadata derivation for the window operator, resulting in a legitimate change to the execution plan structure of two existing !plan tests, but the computation results remain unchanged.

Specific changes: Previously, the collation derivation for EnumerableWindow was optimistic, claiming to retain the input sorting. With CalcRelSplitter inheriting the original Calc's collation, the optimizer would push Sort down onto the Window and merge it with the outer Calc. Therefore, the original plan was:

EnumerableSort
  EnumerableCalc(condition + window output)
      EnumerableWindow

After the fix, EnumerableWindow no longer claims any sorting, and CalcRelSplitter no longer inherits the contaminated collation. Sort can only stop at the Window, wrapped in an outer Calc for projection. The plan becomes:

EnumerableCalc(projection)
  EnumerableSort
    EnumerableCalc(condition)
      EnumerableWindow

Both are logically equivalent; only the relative positions of Sort and the projected Calc have changed. Therefore, only the expected output of these two !plan blocks was updated, without modifying any result data.This also ensures complete consistency with the PostgreSQL sorting results.

this.cluster = calc.getCluster();
this.traits = calc.getTraitSet();
this.traits = calc.getTraitSet()
.replaceIfs(RelCollationTraitDef.INSTANCE, Collections::emptyList);

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The collation reset should be scoped to the LogicalWindow creation rather than applied in CalcRelSplitter’s constructor. The ordering issue is specific to window nodes: a Window does not preserve or expose a simple output collation, so it should not inherit the original Calc collation trait.
Suggested change:
ProjectToWindowRule.java:260

           @Override protected RelNode makeRel(RelOptCluster cluster, RelTraitSet traitSet,
               RelBuilder relBuilder, RelNode input, RexProgram program, List<RelHint> hints) {
             checkArgument(program.getCondition() == null,
                 "WindowedAggregateRel cannot accept a condition");
+            traitSet = traitSet.replaceIfs(RelCollationTraitDef.INSTANCE,
+                Collections::emptyList);
             return LogicalWindow.create(cluster, traitSet, relBuilder, input,
                 program, hints);
           }

This keeps the generic splitter behavior unchanged and makes the intent local to the window-producing RelType.

SqlCall call = (SqlCall) node;
bb.getValidator().deriveType(bb.scope, call);
SqlCall aggCall = call.operand(0);
@Nullable SqlNode filter = null;

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I rarely see the need for @nullable in code.

Comment on lines +382 to +385
Util.discard(mq);
Util.discard(input);
Util.discard(groups);
return Collections.emptyList();

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Suggested change
Util.discard(mq);
Util.discard(input);
Util.discard(groups);
return Collections.emptyList();
return Collections.emptyList();

* Applies a FILTER clause to the arguments of an aggregate call by wrapping
* each argument in a CASE expression. For example,
* {@code SUM(sal) FILTER (WHERE comm IS NOT NULL)} becomes
* {@code SUM(CASE WHEN comm IS NOT NULL THEN sal END)}.

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I'm unsure if the semantics of functions like FIRST_VALUE, LAST_VALUE, NTH_VALUE, LEAD, and LAG are correct after the rewrite.

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