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Posted to issues@hive.apache.org by "liyunzhang_intel (JIRA)" <ji...@apache.org> on 2017/08/22 02:14:00 UTC
[jira] [Updated] (HIVE-16823) "ArrayIndexOutOfBoundsException" in
spark_vectorized_dynamic_partition_pruning.q
[ https://issues.apache.org/jira/browse/HIVE-16823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
liyunzhang_intel updated HIVE-16823:
------------------------------------
Attachment: explain.spark
explain.tez
> "ArrayIndexOutOfBoundsException" in spark_vectorized_dynamic_partition_pruning.q
> --------------------------------------------------------------------------------
>
> Key: HIVE-16823
> URL: https://issues.apache.org/jira/browse/HIVE-16823
> Project: Hive
> Issue Type: Bug
> Reporter: Jianguo Tian
> Assignee: liyunzhang_intel
> Attachments: explain.spark, explain.tez
>
>
> spark_vectorized_dynamic_partition_pruning.q
> {code}
> set hive.optimize.ppd=true;
> set hive.ppd.remove.duplicatefilters=true;
> set hive.spark.dynamic.partition.pruning=true;
> set hive.optimize.metadataonly=false;
> set hive.optimize.index.filter=true;
> set hive.vectorized.execution.enabled=true;
> set hive.strict.checks.cartesian.product=false;
> -- parent is reduce tasks
> select count(*) from srcpart join (select ds as ds, ds as `date` from srcpart group by ds) s on (srcpart.ds = s.ds) where s.`date` = '2008-04-08';
> {code}
> The exceptions are as follows:
> {code}
> 2017-06-05T09:20:31,468 ERROR [Executor task launch worker-0] spark.SparkReduceRecordHandler: Fatal error: org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:413) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:301) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:54) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:28) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42) ~[scala-library-2.11.8.jar:?]
> at scala.collection.Iterator$class.foreach(Iterator.scala:893) ~[scala-library-2.11.8.jar:?]
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) ~[scala-library-2.11.8.jar:?]
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.scheduler.Task.run(Task.scala:85) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [?:1.8.0_112]
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [?:1.8.0_112]
> at java.lang.Thread.run(Thread.java:745) [?:1.8.0_112]
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 1
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupKeyHelper.copyGroupKey(VectorGroupKeyHelper.java:107) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeReduceMergePartial.doProcessBatch(VectorGroupByOperator.java:832) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeBase.processBatch(VectorGroupByOperator.java:179) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator.process(VectorGroupByOperator.java:1035) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:400) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> ... 17 more
> 2017-06-05T09:20:31,472 ERROR [Executor task launch worker-0] executor.Executor: Exception in task 2.0 in stage 1.0 (TID 8)
> java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:315) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:54) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:28) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42) ~[scala-library-2.11.8.jar:?]
> at scala.collection.Iterator$class.foreach(Iterator.scala:893) ~[scala-library-2.11.8.jar:?]
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) ~[scala-library-2.11.8.jar:?]
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.scheduler.Task.run(Task.scala:85) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) ~[spark-core_2.11-2.0.0.jar:2.0.0]
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [?:1.8.0_112]
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [?:1.8.0_112]
> at java.lang.Thread.run(Thread.java:745) [?:1.8.0_112]
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:413) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:301) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> ... 16 more
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 1
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupKeyHelper.copyGroupKey(VectorGroupKeyHelper.java:107) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeReduceMergePartial.doProcessBatch(VectorGroupByOperator.java:832) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeBase.processBatch(VectorGroupByOperator.java:179) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator.process(VectorGroupByOperator.java:1035) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:400) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:301) ~[hive-exec-3.0.0-SNAPSHOT.jar:3.0.0-SNAPSHOT]
> ... 16 more
> 2017-06-05T09:20:31,488 DEBUG [dispatcher-event-loop-2] scheduler.TaskSchedulerImpl: parentName: , name: TaskSet_1, runningTasks: 0
> 2017-06-05T09:20:31,493 WARN [task-result-getter-0] scheduler.TaskSetManager: Lost task 2.0 in stage 1.0 (TID 8, localhost): java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:315)
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:54)
> at org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:28)
> at org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList.hasNext(HiveBaseFunctionResultList.java:85)
> at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:42)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127)
> at org.apache.spark.rdd.AsyncRDDActions$$anonfun$foreachAsync$1$$anonfun$apply$12.apply(AsyncRDDActions.scala:127)
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974)
> at org.apache.spark.SparkContext$$anonfun$33.apply(SparkContext.scala:1974)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Error while processing vector batch (tag=0) Column vector types: 0:BYTES, 1:BYTES
> ["2008-04-08", "2008-04-08"]
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:413)
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:301)
> ... 16 more
> Caused by: java.lang.ArrayIndexOutOfBoundsException: 1
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupKeyHelper.copyGroupKey(VectorGroupKeyHelper.java:107)
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeReduceMergePartial.doProcessBatch(VectorGroupByOperator.java:832)
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator$ProcessingModeBase.processBatch(VectorGroupByOperator.java:179)
> at org.apache.hadoop.hive.ql.exec.vector.VectorGroupByOperator.process(VectorGroupByOperator.java:1035)
> at org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processVectors(SparkReduceRecordHandler.java:400)
> ... 17 more
> 2017-06-05T09:20:31,495 ERROR [task-result-getter-0] scheduler.TaskSetManager: Task 2 in stage 1.0 failed 1 times; aborting job
> {code}
> This exception happens in this line of VectorGroupKeyHelper.java:
> {code}
> BytesColumnVector outputColumnVector = (BytesColumnVector) outputBatch.cols[columnIndex];
> {code}
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