fix: grouping with alias#21438
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…t is needed The SQL planner handles aliasing via projection, so ResolveGroupingFunction never sees Expr::Alias in SQL queries. Only the DataFrame API produces that expression shape, making the SQL test insufficient as a regression test. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
timsaucer
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April 7, 2026 12:19
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Pull request overview
Fixes DataFrame API aggregation planning when grouping() is wrapped in an Expr::Alias, aligning behavior with SQL planning and preventing a physical planning error for GROUPING.
Changes:
- Extend
ResolveGroupingFunctionto recognizegrouping()when wrapped inExpr::Alias. - Update grouping-function detection to recurse through alias nodes.
- Add a DataFrame regression test covering
grouping(col).alias(...)in aggregates.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 2 comments.
| File | Description |
|---|---|
| datafusion/optimizer/src/analyzer/resolve_grouping_function.rs | Teach the analyzer rule to detect/replace aliased grouping() expressions. |
| datafusion/core/tests/dataframe/mod.rs | Add regression coverage for aliased grouping() via the DataFrame API. |
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adriangb
approved these changes
Apr 11, 2026
| /// around the aggregate function in SQL queries — making SQL-based tests | ||
| /// insufficient to cover this case. | ||
| #[tokio::test] | ||
| async fn test_grouping_with_alias() -> Result<()> { |
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I confirmed this test fails on main.
coderfender
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Apr 14, 2026
## Which issue does this PR close? - Closes apache#21411 ## Rationale for this change When you have an alias on `grouping` function via dataframe API, you get an error. This resolves that error. ## What changes are included in this PR? Check for alias expressions in optimizer. Add unit tests. ## Are these changes tested? Unit test added, including a note on why a SQL logic test will not cover this case. ## Are there any user-facing changes? None --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Rich-T-kid
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Apr 21, 2026
## Which issue does this PR close? - Closes apache#21411 ## Rationale for this change When you have an alias on `grouping` function via dataframe API, you get an error. This resolves that error. ## What changes are included in this PR? Check for alias expressions in optimizer. Add unit tests. ## Are these changes tested? Unit test added, including a note on why a SQL logic test will not cover this case. ## Are there any user-facing changes? None --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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…ates The SingleDistinctToGroupBy rule rewrites grouped count(DISTINCT col) into a nested double aggregate, but only fired for SQL-planned plans. The DataFrame API applies the output alias directly to the aggregate expression, so aggr_expr holds Expr::Alias(AggregateFunction); is_single_distinct_agg only matched a bare Expr::AggregateFunction and the rule never fired, leaving the DataFrame path materially slower than the equivalent SQL. Peel all top-level Expr::Alias wrappers in both the matcher and the rewrite (aliases nested inside sub-expressions are left untouched). Output column names are preserved because the rule already rebuilds the outer projection from the original aggregate's schema. Mirrors the fix for the same bug class in apache#21411 / apache#21438. Closes apache#23401. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fangchenli
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…ates The SingleDistinctToGroupBy rule rewrites grouped count(DISTINCT col) into a nested double aggregate, but only fired for SQL-planned plans. The DataFrame API applies the output alias directly to the aggregate expression, so aggr_expr holds Expr::Alias(AggregateFunction); is_single_distinct_agg only matched a bare Expr::AggregateFunction and the rule never fired, leaving the DataFrame path materially slower than the equivalent SQL. Peel all top-level Expr::Alias wrappers in both the matcher and the rewrite (aliases nested inside sub-expressions are left untouched). Output column names are preserved because the rule already rebuilds the outer projection from the original aggregate's schema. Mirrors the fix for the same bug class in apache#21411 / apache#21438. Closes apache#23401. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fangchenli
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Jul 9, 2026
…ates The SingleDistinctToGroupBy rule rewrites grouped count(DISTINCT col) into a nested double aggregate, but only fired for SQL-planned plans. The DataFrame API applies the output alias directly to the aggregate expression, so aggr_expr holds Expr::Alias(AggregateFunction); is_single_distinct_agg only matched a bare Expr::AggregateFunction and the rule never fired, leaving the DataFrame path materially slower than the equivalent SQL. Peel all top-level Expr::Alias wrappers in both the matcher and the rewrite (aliases nested inside sub-expressions are left untouched). Output column names are preserved because the rule already rebuilds the outer projection from the original aggregate's schema. Mirrors the fix for the same bug class in apache#21411 / apache#21438. Closes apache#23401. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fangchenli
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Jul 9, 2026
…ates The SingleDistinctToGroupBy rule rewrites grouped count(DISTINCT col) into a nested double aggregate, but only fired for SQL-planned plans. The DataFrame API applies the output alias directly to the aggregate expression, so aggr_expr holds Expr::Alias(AggregateFunction); is_single_distinct_agg only matched a bare Expr::AggregateFunction and the rule never fired, leaving the DataFrame path materially slower than the equivalent SQL. Peel all top-level Expr::Alias wrappers in both the matcher and the rewrite (aliases nested inside sub-expressions are left untouched). Output column names are preserved because the rule already rebuilds the outer projection from the original aggregate's schema. Mirrors the fix for the same bug class in apache#21411 / apache#21438. Also skip the rewrite when a DISTINCT argument is a constant. Such an argument would become a constant GROUP BY key that eliminate_group_by_constant collapses into a global aggregate, which emits a row even on empty input and produces wrong results (e.g. MIN(DISTINCT 37) over empty input returned 37, not NULL). This is a latent bug the alias fix would otherwise expose more widely; the rewrite has no benefit for a constant argument anyway. Closes apache#23401. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
fangchenli
added a commit
to fangchenli/datafusion
that referenced
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Jul 9, 2026
…ates The SingleDistinctToGroupBy rule rewrites grouped count(DISTINCT col) into a nested double aggregate, but only fired for SQL-planned plans. The DataFrame API applies the output alias directly to the aggregate expression, so aggr_expr holds Expr::Alias(AggregateFunction); is_single_distinct_agg only matched a bare Expr::AggregateFunction and the rule never fired, leaving the DataFrame path materially slower than the equivalent SQL. Peel all top-level Expr::Alias wrappers in both the matcher and the rewrite (aliases nested inside sub-expressions are left untouched). Output column names are preserved because the rule already rebuilds the outer projection from the original aggregate's schema. Mirrors the fix for the same bug class in apache#21411 / apache#21438. Also skip the rewrite when a DISTINCT argument is a constant. Such an argument would become a constant GROUP BY key that eliminate_group_by_constant collapses into a global aggregate, which emits a row even on empty input and produces wrong results (e.g. MIN(DISTINCT 37) over empty input returned 37, not NULL). This is a latent bug the alias fix would otherwise expose more widely; the rewrite has no benefit for a constant argument anyway. Closes apache#23401. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Which issue does this PR close?
Rationale for this change
When you have an alias on
groupingfunction via dataframe API, you get an error. This resolves that error.What changes are included in this PR?
Check for alias expressions in optimizer.
Add unit tests.
Are these changes tested?
Unit test added, including a note on why a SQL logic test will not cover this case.
Are there any user-facing changes?
None