[ https://issues.apache.org/jira/browse/SPARK-19509?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19509: ------------------------------------ Assignee: (was: Apache Spark) > [SQL]GROUPING SETS throws NullPointerException when use an empty column > ----------------------------------------------------------------------- > > 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 > > {code:sql|title=A simple case} > select count(1) from test group by e grouping sets(e) > {code} > {code:title=Schema of the test table} > scala> spark.sql("desc test").show() > +--------+---------+-------+ > |col_name|data_type|comment| > +--------+---------+-------+ > | e| string| null| > +--------+---------+-------+ > {code} > {code:sql|title=The column `e` is empty} > scala> spark.sql("select e from test").show() > +----+ > | e| > +----+ > |null| > |null| > +----+ > {code} > {code:title=Exception} > Driver stacktrace: > at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) > at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802) > at scala.Option.foreach(Option.scala:257) > at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594) > at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) > at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931) > at org.apache.spark.SparkContext.runJob(SparkContext.scala:1944) > at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:333) > at > org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38) > at > org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2371) > at > org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57) > at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2765) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2370) > at > org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2377) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2113) > at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2112) > at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2795) > at org.apache.spark.sql.Dataset.head(Dataset.scala:2112) > at org.apache.spark.sql.Dataset.take(Dataset.scala:2327) > at org.apache.spark.sql.Dataset.showString(Dataset.scala:248) > at org.apache.spark.sql.Dataset.show(Dataset.scala:636) > at org.apache.spark.sql.Dataset.show(Dataset.scala:595) > at org.apache.spark.sql.Dataset.show(Dataset.scala:604) > ... 48 elided > Caused by: java.lang.NullPointerException > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$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} -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org