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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/05/18 22:18:00 UTC
[jira] [Commented] (SPARK-38987) Handle fallback when merged shuffle blocks are corrupted and spark.shuffle.detectCorrupt is set to true
[ https://issues.apache.org/jira/browse/SPARK-38987?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17539112#comment-17539112 ]
Apache Spark commented on SPARK-38987:
--------------------------------------
User 'akpatnam25' has created a pull request for this issue:
https://github.com/apache/spark/pull/36601
> Handle fallback when merged shuffle blocks are corrupted and spark.shuffle.detectCorrupt is set to true
> -------------------------------------------------------------------------------------------------------
>
> Key: SPARK-38987
> URL: https://issues.apache.org/jira/browse/SPARK-38987
> Project: Spark
> Issue Type: Sub-task
> Components: Shuffle
> Affects Versions: 3.2.0
> Reporter: Ye Zhou
> Priority: Major
>
> Current implementation doesn't handle the corruption cases well for merged shuffle blocks, and if there is a corrupted shuffle chunk, the task will directly fail with the error message shown below, without triggering the expected fallback, which will try fetching original unmerged shuffle blocks:
> org.apache.spark.SparkException: Failed to get block shuffleChunk_30_0_1070_0, which is not a shuffle block
> at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:1189)
> at org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:1352)
> at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
> at java.io.BufferedInputStream.read(BufferedInputStream.java:265)
> at java.io.DataInputStream.readInt(DataInputStream.java:387)
> at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.readSize(UnsafeRowSerializer.scala:113)
> at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.<init>(UnsafeRowSerializer.scala:120)
> at org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2.asKeyValueIterator(UnsafeRowSerializer.scala:110)
> at org.apache.spark.shuffle.BlockStoreShuffleReader.$anonfun$read$2(BlockStoreShuffleReader.scala:98)
> at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:484)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:490)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
> at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
> at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage138.sort_addToSorter_0$(Unknown Source)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage138.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
> at org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedStreamed(SortMergeJoinExec.scala:783)
> at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.findNextOuterJoinRows(SortMergeJoinExec.scala:742)
> at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceStream(SortMergeJoinExec.scala:908)
> at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceNext(SortMergeJoinExec.scala:944)
> at org.apache.spark.sql.execution.RowIteratorToScala.hasNext(RowIterator.scala:68)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage140.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
> at org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedStreamed(SortMergeJoinExec.scala:783)
> at org.apache.spark.sql.execution.joins.SortMergeJoinScanner.findNextOuterJoinRows(SortMergeJoinExec.scala:742)
> at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceStream(SortMergeJoinExec.scala:908)
> at org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceNext(SortMergeJoinExec.scala:944)
> at org.apache.spark.sql.execution.RowIteratorToScala.hasNext(RowIterator.scala:68)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage142.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
> at org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> at
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