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https://issues.apache.org/jira/browse/HIVE-24238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17209195#comment-17209195
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Mustafa Iman commented on HIVE-24238:
-------------------------------------
[~gabriel.balan] https://issues.apache.org/jira/browse/HIVE-23529 had the exact
same stack trace. You might want to try that.
> ClassCastException in vectorized order-by query over avro table with
> uniontype column
> -------------------------------------------------------------------------------------
>
> Key: HIVE-24238
> URL: https://issues.apache.org/jira/browse/HIVE-24238
> Project: Hive
> Issue Type: Bug
> Components: Avro
> Affects Versions: 3.1.0, 3.1.2
> Reporter: Gabriel C Balan
> Priority: Minor
>
> {noformat:title=Reproducer}
> create table avro_reproducer (key int, union_col uniontype <int, string>)
> stored as avro location '/tmp/avro_reproducer';
> INSERT INTO TABLE avro_reproducer values (0, create_union(0, 123, 'not me')),
> (1, create_union(1, -1, 'me, me, me!'));
> --these queries are ok:
> select count(*) from avro_reproducer;
> select * from avro_reproducer;
> --these queries are not ok
> select * from avro_reproducer order by union_col;
> select * from avro_reproducer sort by key;
> select * from avro_reproducer order by 'does not have to be a column,
> really';
> {noformat}
> I have verified this reproducer on CDH703, HDP301.
> It seems the issue is restricted to AVRO; this reproducer does not trigger
> failures against textfile tables, orc tables, and parquet tables.
> Also, the issue is restricted to vectorized execution; it goes away if I set
> hive.vectorized.execution.enabled=false
> {noformat:title=Error message in CLI}
> Driver stacktrace:
> at
> org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1889)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1877)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1876)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1876)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
> at
> org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:926)
> at scala.Option.foreach(Option.scala:257)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:926)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2110)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2059)
> at
> org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2048)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> Caused by: java.lang.RuntimeException: Error processing row:
> org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while
> processing row
> at
> org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:155)
> at
> org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:48)
> at
> org.apache.hadoop.hive.ql.exec.spark.HiveMapFunctionResultList.processNextRecord(HiveMapFunctionResultList.java:27)
> at
> org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85)
> at
> scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1315)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime
> Error while processing row
> at
> org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.process(VectorMapOperator.java:970)
> at
> org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:142)
> ... 14 more
> Caused by: java.lang.ClassCastException: org.apache.hadoop.io.IntWritable
> cannot be cast to
> org.apache.hadoop.hive.serde2.objectinspector.StandardUnionObjectInspector$StandardUnion
> at
> org.apache.hadoop.hive.ql.exec.vector.VectorAssignRow.assignRowColumn(VectorAssignRow.java:619)
> at
> org.apache.hadoop.hive.ql.exec.vector.VectorAssignRow.assignRowColumn(VectorAssignRow.java:351)
> at
> org.apache.hadoop.hive.ql.exec.vector.VectorAssignRow.assignRow(VectorAssignRow.java:1020)
> at
> org.apache.hadoop.hive.ql.exec.vector.VectorMapOperator.process(VectorMapOperator.java:959)
> ... 15 more
> {noformat}
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