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https://issues.apache.org/jira/browse/SPARK-18651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15709349#comment-15709349
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koert kuipers edited comment on SPARK-18651 at 11/30/16 6:39 PM:
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i cannot reproduce the error in master. it seems to work there.
was (Author: koert):
i cannot reproduce the error in master. it seems to work there. so i am going
to close this.
> KeyValueGroupedDataset[K, V].reduceGroups cannot handle primitive for V
> -----------------------------------------------------------------------
>
> Key: SPARK-18651
> URL: https://issues.apache.org/jira/browse/SPARK-18651
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.2
> Reporter: koert kuipers
>
> run:
> {noformat}
> val df = Seq(1, 2, 3)
> .toDS
> .groupByKey(x => x)
> .reduceGroups(_ + _)
> df.show
> {noformat}
> result:
> {noformat}
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in
> stage 143.0 failed 1 times, most recent failure: Lost task 2.0 in stage 143.0
> (TID 514, localhost): java.lang.NullPointerException
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown
> Source)
> at
> org.apache.spark.sql.execution.aggregate.HashAggregateExec.createHashMap(HashAggregateExec.scala:296)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> the issue is the null in ReduceAggregator.zero
> for a primitive type this null leads to the NPE. instead for primitive types
> we should do a dummy/default value (0 for int, false for boolean, etc.)
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