wForget opened a new issue, #11048:
URL: https://github.com/apache/incubator-gluten/issues/11048
### Backend
VL (Velox)
### Bug description
I encountered an `PartitioningCollection requires all of its partitionings
have the same numPartitions` error. After debugging, I found that this was
because we hadn't implemented outputPartitioning for ColumnarPartialProjectExec.
error log:
```
25/11/07 19:47:08 ERROR ExecuteStatement: Error operating ExecuteStatement:
java.lang.IllegalArgumentException: requirement failed: PartitioningCollection
requires all of its partitionings have the same numPartitions.
at scala.Predef$.require(Predef.scala:281)
at
org.apache.spark.sql.catalyst.plans.physical.PartitioningCollection.<init>(partitioning.scala:500)
at
org.apache.gluten.execution.ColumnarShuffledJoin.outputPartitioning(JoinExecTransformer.scala:64)
at
org.apache.gluten.execution.ColumnarShuffledJoin.outputPartitioning$(JoinExecTransformer.scala:62)
at
org.apache.gluten.execution.ShuffledHashJoinExecTransformerBase.outputPartitioning(JoinExecTransformer.scala:325)
at
org.apache.spark.sql.execution.PartitioningPreservingUnaryExecNode.outputPartitioning(AliasAwareOutputExpression.scala:33)
at
org.apache.spark.sql.execution.PartitioningPreservingUnaryExecNode.outputPartitioning$(AliasAwareOutputExpression.scala:31)
at
org.apache.gluten.execution.ProjectExecTransformerBase.outputPartitioning(BasicPhysicalOperatorTransformer.scala:166)
at
org.apache.gluten.extension.FlushableHashAggregateRule$.org$apache$gluten$extension$FlushableHashAggregateRule$$isAggInputAlreadyDistributedWithAggKeys(FlushableHashAggregateRule.scala:139)
at
org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:93)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at
org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:102)
at
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at
org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:102)
at
org.apache.gluten.extension.FlushableHashAggregateRule.org$apache$gluten$extension$FlushableHashAggregateRule$$replaceEligibleAggregates(FlushableHashAggregateRule.scala:105)
at
org.apache.gluten.extension.FlushableHashAggregateRule$$anonfun$apply$2.applyOrElse(FlushableHashAggregateRule.scala:48)
at
org.apache.gluten.extension.FlushableHashAggregateRule$$anonfun$apply$2.applyOrElse(FlushableHashAggregateRule.scala:41)
at
org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$2(TreeNode.scala:515)
at
org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at
org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:515)
at
org.apache.gluten.extension.FlushableHashAggregateRule.apply(FlushableHashAggregateRule.scala:41)
at
org.apache.gluten.extension.FlushableHashAggregateRule.apply(FlushableHashAggregateRule.scala:35)
at
org.apache.gluten.extension.columnar.LoggedRule.$anonfun$apply$1(LoggedRule.scala:44)
at
org.apache.gluten.metrics.GlutenTimeMetric$.withNanoTime(GlutenTimeMetric.scala:41)
at
org.apache.gluten.metrics.GlutenTimeMetric$.withMillisTime(GlutenTimeMetric.scala:46)
at
org.apache.gluten.metrics.GlutenTimeMetric$.recordMillisTime(GlutenTimeMetric.scala:50)
at
org.apache.gluten.extension.columnar.LoggedRule.apply(LoggedRule.scala:44)
at
org.apache.gluten.extension.columnar.LoggedRule.apply(LoggedRule.scala:29)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)
at
scala.collection.IndexedSeqOptimized.foldLeft(IndexedSeqOptimized.scala:60)
at
scala.collection.IndexedSeqOptimized.foldLeft$(IndexedSeqOptimized.scala:68)
at scala.collection.mutable.ArrayBuffer.foldLeft(ArrayBuffer.scala:49)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:219)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:211)
at scala.collection.immutable.List.foreach(List.scala:431)
at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:211)
```
`ColumnarPartialProjectExec.outputPartitioning` returns
`UnknownPartitioning(0)`:
### Gluten version
Gluten-1.5
### Spark version
Spark-3.5.x
### Spark configurations
_No response_
### System information
_No response_
### Relevant logs
```bash
```
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