[SPARK-53094][SQL][4.0] Fix CUBE with aggregate containing HAVING clauses #51854
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…uses This is an alternative PR to apache#51810 to fix a regresion introduced in Spark 3.2 with apache#32470. This PR defers the resolution of not fully resolved `UnresolvedHaving` nodes from `ResolveGroupingAnalytics`: ``` === Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGroupingAnalytics === 'Sort ['s DESC NULLS LAST], true 'Sort ['s DESC NULLS LAST], true !+- 'UnresolvedHaving ('count('product) > 2) +- 'UnresolvedHaving ('count(tempresolvedcolumn(product#261, product, false)) > 2) ! +- 'Aggregate [cube(Vector(0), Vector(1), product#261, region#262)], [product#261, region#262, sum(amount#263) AS s#264L] +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L] ! +- SubqueryAlias t +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] ! +- LocalRelation [product#261, region#262, amount#263] +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] ! +- SubqueryAlias t ! +- LocalRelation [product#261, region#262, amount#263] ``` to `ResolveAggregateFunctions` to add the correct aggregate expressions (`count(product#261)`): ``` === Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggregateFunctions === 'Sort ['s DESC NULLS LAST], true 'Sort ['s DESC NULLS LAST], true !+- 'UnresolvedHaving (count(tempresolvedcolumn(product#261, product, false)) > cast(2 as bigint)) +- Project [product#269, region#270, s#264L] ! +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L] +- Filter (count(product)#272L > cast(2 as bigint)) ! +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L, count(product#261) AS count(product)#272L] ! +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] ! +- SubqueryAlias t +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] ! +- LocalRelation [product#261, region#262, amount#263] +- SubqueryAlias t ! +- LocalRelation [product#261, region#262, amount#263] ``` Fix a correctness isue described in apache#51810. Yes, it fixes a correctness issue. Added new UT from apache#51810. No. Closes apache#51820 from peter-toth/SPARK-53094-fix-cube-having. Lead-authored-by: Peter Toth <[email protected]> Co-authored-by: harris233 <[email protected]> Signed-off-by: Peter Toth <[email protected]>
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…uses ### What changes were proposed in this pull request? This is an alternative PR to #51810 to fix a regresion introduced in Spark 3.2 with #32470. This PR defers the resolution of not fully resolved `UnresolvedHaving` nodes from `ResolveGroupingAnalytics`: ``` === Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveGroupingAnalytics === 'Sort ['s DESC NULLS LAST], true 'Sort ['s DESC NULLS LAST], true !+- 'UnresolvedHaving ('count('product) > 2) +- 'UnresolvedHaving ('count(tempresolvedcolumn(product#261, product, false)) > 2) ! +- 'Aggregate [cube(Vector(0), Vector(1), product#261, region#262)], [product#261, region#262, sum(amount#263) AS s#264L] +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L] ! +- SubqueryAlias t +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] ! +- LocalRelation [product#261, region#262, amount#263] +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] ! +- SubqueryAlias t ! +- LocalRelation [product#261, region#262, amount#263] ``` to `ResolveAggregateFunctions` to add the correct aggregate expressions (`count(product#261)`): ``` === Applying Rule org.apache.spark.sql.catalyst.analysis.Analyzer$ResolveAggregateFunctions === 'Sort ['s DESC NULLS LAST], true 'Sort ['s DESC NULLS LAST], true !+- 'UnresolvedHaving (count(tempresolvedcolumn(product#261, product, false)) > cast(2 as bigint)) +- Project [product#269, region#270, s#264L] ! +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L] +- Filter (count(product)#272L > cast(2 as bigint)) ! +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] +- Aggregate [product#269, region#270, spark_grouping_id#268L], [product#269, region#270, sum(amount#263) AS s#264L, count(product#261) AS count(product)#272L] ! +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] +- Expand [[product#261, region#262, amount#263, product#266, region#267, 0], [product#261, region#262, amount#263, product#266, null, 1], [product#261, region#262, amount#263, null, region#267, 2], [product#261, region#262, amount#263, null, null, 3]], [product#261, region#262, amount#263, product#269, region#270, spark_grouping_id#268L] ! +- SubqueryAlias t +- Project [product#261, region#262, amount#263, product#261 AS product#266, region#262 AS region#267] ! +- LocalRelation [product#261, region#262, amount#263] +- SubqueryAlias t ! +- LocalRelation [product#261, region#262, amount#263] ``` ### Why are the changes needed? Fix a correctness isue described in #51810. ### Does this PR introduce _any_ user-facing change? Yes, it fixes a correctness issue. ### How was this patch tested? Added new UT from #51810. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #51854 from peter-toth/SPARK-53094-fix-cube-having-4.0. Authored-by: Peter Toth <[email protected]> Signed-off-by: Peter Toth <[email protected]>
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What changes were proposed in this pull request?
This is an alternative PR to #51810 to fix a regresion introduced in Spark 3.2 with #32470.
This PR defers the resolution of not fully resolved
UnresolvedHavingnodes fromResolveGroupingAnalytics:to
ResolveAggregateFunctionsto add the correct aggregate expressions (count(product#261)):Why are the changes needed?
Fix a correctness isue described in #51810.
Does this PR introduce any user-facing change?
Yes, it fixes a correctness issue.
How was this patch tested?
Added new UT from #51810.
Was this patch authored or co-authored using generative AI tooling?
No.