[SPARK-13480] Regression with percentile() + function in GROUP BY

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Cannot Reproduce
• Affects Version/s: 1.6.0
• Component/s: SQL
• Assignee: Unassigned
• Reporter: Jaka Jancar
• Created: 25/Feb/16 00:25
• Updated: 12/Dec/22 18:11
• Resolved: 02/Nov/16 09:26

Description

SELECT
  percentile(load_time, 0.50)
FROM
  (
    select '2000-01-01' queued_at, 100 load_time
    union all
    select '2000-01-01' queued_at, 110 load_time
    union all
    select '2000-01-01' queued_at, 120 load_time
  ) t
GROUP BY
  year(queued_at)

fails with

Error in SQL statement: SparkException: Job aborted due to stage failure: Task 0 in stage 6067.0 failed 4 times, most recent failure: Lost task 0.3 in stage 6067.0 (TID 268774, ip-10-0-163-203.ec2.internal): org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute, tree: year(cast(queued_at#78201 as date))#78209
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:49)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:86)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1.applyOrElse(BoundAttribute.scala:85)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243)
	at org.apache.spark.sql.catalyst.trees.TreeNode$$anonfun$3.apply(TreeNode.scala:243)
	at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:53)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:242)
	at org.apache.spark.sql.catalyst.trees.TreeNode.transform(TreeNode.scala:233)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$.bindReference(BoundAttribute.scala:85)
	at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62)
	at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection$$anonfun$$init$$2.apply(Projection.scala:62)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
	at scala.collection.immutable.List.foreach(List.scala:318)
	at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
	at scala.collection.AbstractTraversable.map(Traversable.scala:105)
	at org.apache.spark.sql.catalyst.expressions.InterpretedMutableProjection.<init>(Projection.scala:62)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234)
	at org.apache.spark.sql.execution.SparkPlan$$anonfun$newMutableProjection$1.apply(SparkPlan.scala:234)
	at org.apache.spark.sql.execution.Exchange.org$apache$spark$sql$execution$Exchange$$getPartitionKeyExtractor$1(Exchange.scala:197)
	at org.apache.spark.sql.execution.Exchange$$anonfun$3.apply(Exchange.scala:209)
	at org.apache.spark.sql.execution.Exchange$$anonfun$3.apply(Exchange.scala:208)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
	at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:728)
	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
	at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
	at org.apache.spark.scheduler.Task.run(Task.scala:89)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:745)
Caused by: java.lang.RuntimeException: Couldn't find year(cast(queued_at#78201 as date))#78209 in [queued_at#78201,load_time#78202]
	at scala.sys.package$.error(package.scala:27)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:92)
	at org.apache.spark.sql.catalyst.expressions.BindReferences$$anonfun$bindReference$1$$anonfun$applyOrElse$1.apply(BoundAttribute.scala:86)
	at org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:48)
	... 33 more

This used to work (not sure whether on 1.5 on 1.4).

Issue Links

• is related to: SPARK-26041 catalyst cuts out some columns from dataframes: org.apache.spark.sql.catalyst.errors.package$TreeNodeException: Binding attribute