[
https://issues.apache.org/jira/browse/HIVE-18301?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16350077#comment-16350077
]
liyunzhang edited comment on HIVE-18301 at 2/2/18 9:54 AM:
-----------------------------------------------------------
[~xuefuz]:
{quote}Instead of putting the input patch in each row, like what the patch is
proposing, could we send a serialized IOContext object as a special row
whenever the content of the object changes?
{quote}
This is good idea. IOContext is bind to split not to bind to each record. So I
changed to following idea.
{code:java}
inputRDD1 inputRDD2
|CopyFunction | CopyFunction
CopyRDD1 CopyRDD2
| |
MT_11 MT_12
| |
RT_1 RT_2
\ /
Union
{code}
in the CopyRDD1, I only store IOContext as the tuple_1() of result when the
IOContext#getInputPath is changed and store null in other situation. Thus it
will reduce the size of data increment of this solution. In MT_12, it
initializes the IOContext when IOContext#getInputPath is null, once
IOContext#getInputPath has value, we need not initialize it again in the same
thread. Any suggestion?
was (Author: kellyzly):
[~xuefuz]:
{quote}
Instead of putting the input patch in each row, like what the patch is
proposing, could we send a serialized IOContext object as a special row
whenever the content of the object changes?
{quote}
This is good idea. IOContext is bind to split not to bind to each record. So
I changed to following idea.
{code}
inputRDD1 inputRDD2
|CopyFunction | CopyFunction
CopyRDD1 CopyRDD2
| |
MT_11 MT_12
| |
RT_1 RT_2
\ /
Union
{code}
in the CopyRDD1, I only store IOContext as the tuple_1() of result when the
IOContext#getInputPath is changed and store null in other situation. Thus it
will reduce the size of data size increment of this solution. In MT_12, it
initialize the IOContext when IOContext#getInputPath is null, once
IOContext#getInputPath has value, we need not initialize it again in the same
thread.
> Investigate to enable MapInput cache in Hive on Spark
> -----------------------------------------------------
>
> Key: HIVE-18301
> URL: https://issues.apache.org/jira/browse/HIVE-18301
> Project: Hive
> Issue Type: Bug
> Reporter: liyunzhang
> Assignee: liyunzhang
> Priority: Major
> Attachments: HIVE-18301.1.patch, HIVE-18301.2.patch, HIVE-18301.patch
>
>
> Before IOContext problem is found in MapTran when spark rdd cache is enabled
> in HIVE-8920.
> so we disabled rdd cache in MapTran at
> [SparkPlanGenerator|https://github.com/kellyzly/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkPlanGenerator.java#L202].
> The problem is IOContext seems not initialized correctly in the spark yarn
> client/cluster mode and caused the exception like
> {code}
> Job aborted due to stage failure: Task 93 in stage 0.0 failed 4 times, most
> recent failure: Lost task 93.3 in stage 0.0 (TID 616, bdpe48):
> java.lang.RuntimeException: Error processing row:
> java.lang.NullPointerException
> at
> org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:165)
> 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$JIteratorWrapper.hasNext(Wrappers.scala:42)
> at
> org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
> at org.apache.spark.scheduler.Task.run(Task.scala:85)
> at org.apache.spark.executor.Executor$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: java.lang.NullPointerException
> at
> org.apache.hadoop.hive.ql.exec.AbstractMapOperator.getNominalPath(AbstractMapOperator.java:101)
> at
> org.apache.hadoop.hive.ql.exec.MapOperator.cleanUpInputFileChangedOp(MapOperator.java:516)
> at
> org.apache.hadoop.hive.ql.exec.Operator.cleanUpInputFileChanged(Operator.java:1187)
> at
> org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:546)
> at
> org.apache.hadoop.hive.ql.exec.spark.SparkMapRecordHandler.processRow(SparkMapRecordHandler.java:152)
> ... 12 more
> Driver stacktrace:
> {code}
> in yarn client/cluster mode, sometimes
> [ExecMapperContext#currentInputPath|https://github.com/kellyzly/hive/blob/master/ql/src/java/org/apache/hadoop/hive/ql/exec/mr/ExecMapperContext.java#L109]
> is null when rdd cach is enabled.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
