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Posted to issues@spark.apache.org by "StanZhai (JIRA)" <ji...@apache.org> on 2017/02/08 12:35:41 UTC
[jira] [Reopened] (SPARK-19509) [SQL]GROUPING SETS throws
NullPointerException when use a CASE WHEN statement
[ https://issues.apache.org/jira/browse/SPARK-19509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
StanZhai reopened SPARK-19509:
------------------------------
It doesn't look like the same problem.
I have tried to merge https://github.com/apache/spark/pull/15980 into branch-2.1.0. The problem still exist.
> [SQL]GROUPING SETS throws NullPointerException when use a CASE WHEN statement
> -----------------------------------------------------------------------------
>
> Key: SPARK-19509
> URL: https://issues.apache.org/jira/browse/SPARK-19509
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: StanZhai
> Priority: Critical
>
> To reproduce the issue a CASE WHEN statement must be return a STRING value and the grouping sets must be empty.
> {code:sql|title=A simple case}
> select case "0" when "0" then "a" else "b" end
> from tb
> group by case "0" when "0" then "a" else "b" end
> grouping sets (())
> {code}
> {code:title=Exception}
> Caused by: java.lang.NullPointerException
> 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:377)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
> at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
> at org.apache.spark.scheduler.Task.run(Task.scala:99)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
> 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)
> {code}
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