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From "Imran Rashid (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-19837) Fetch failure throws a SparkException in SparkHiveWriter
Date Wed, 22 Mar 2017 16:07:41 GMT

    [ https://issues.apache.org/jira/browse/SPARK-19837?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15936597#comment-15936597
] 

Imran Rashid commented on SPARK-19837:
--------------------------------------

I think this is addressed by SPARK-19276, which handles the main problem here.  We should
clean up the exception handling to avoid encapsulating fetch failures, though.

> Fetch failure throws a SparkException in SparkHiveWriter
> --------------------------------------------------------
>
>                 Key: SPARK-19837
>                 URL: https://issues.apache.org/jira/browse/SPARK-19837
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 2.0.1
>            Reporter: Sital Kedia
>
> Currently Fetchfailure in SparkHiveWriter fails the job with following exception
> {code}
> 0_0): org.apache.spark.SparkException: Task failed while writing rows.
>         at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.writeToFile(hiveWriterContainers.scala:385)
>         at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:84)
>         at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:84)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
>         at org.apache.spark.scheduler.Task.run(Task.scala:86)
>         at org.apache.spark.executor.Executor$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.spark.shuffle.FetchFailedException: Connection reset by peer
>         at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:357)
>         at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:332)
>         at org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:54)
>         at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
>         at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
>         at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
>         at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown
Source)
>         at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
Source)
>         at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
>         at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
>         at org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
>         at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedStreamed(SortMergeJoinExec.scala:731)
>         at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.findNextOuterJoinRows(SortMergeJoinExec.scala:692)
>         at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceStream(SortMergeJoinExec.scala:854)
>         at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceNext(SortMergeJoinExec.scala:887)
>         at org.apache.spark.sql.execution.RowIteratorToScala.hasNext(RowIterator.scala:68)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
>         at scala.collection.Iterator$JoinIterator.hasNext(Iterator.scala:211)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:439)
>         at scala.collection.Iterator$JoinIterator.hasNext(Iterator.scala:211)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:461)
>         at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
>         at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.writeToFile(hiveWriterContainers.scala:343)
> {code}



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