[
https://issues.apache.org/jira/browse/SPARK-24346?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16782679#comment-16782679
]
Mohamed Mehdi BEN AISSA commented on SPARK-24346:
-------------------------------------------------
org.apache.spark.shuffle.FetchFailedException at
org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:523)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:454)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:61)
at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434) at
scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440) at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
at
org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage5.sort_addToSorter$(Unknown
Source) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage5.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.findNextInnerJoinRows$(Unknown
Source) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$12$$anon$2.hasNext(WholeStageCodegenExec.scala:633)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage11.findNextInnerJoinRows$(Unknown
Source) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage11.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$12$$anon$2.hasNext(WholeStageCodegenExec.scala:633)
at
org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
at
org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedStreamed(SortMergeJoinExec.scala:793)
at
org.apache.spark.sql.execution.joins.SortMergeJoinScanner.findNextOuterJoinRows(SortMergeJoinExec.scala:754)
at
org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceStream(SortMergeJoinExec.scala:916)
at
org.apache.spark.sql.execution.joins.OneSideOuterIterator.advanceNext(SortMergeJoinExec.scala:952)
at
org.apache.spark.sql.execution.RowIteratorToScala.hasNext(RowIterator.scala:68)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage16.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage35.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$10$$anon$1.hasNext(WholeStageCodegenExec.scala:614)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectoryWriteTask.execute(FileFormatWriter.scala:380)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:269)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask$3.apply(FileFormatWriter.scala:267)
at
org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:272)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:197)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:196)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at
org.apache.spark.scheduler.Task.run(Task.scala:109) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345) 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.io.EOFException at
java.io.DataInputStream.readFully(DataInputStream.java:197) at
java.io.DataInputStream.readLong(DataInputStream.java:416) at
org.apache.spark.shuffle.IndexShuffleBlockResolver.getBlockData(IndexShuffleBlockResolver.scala:209)
at org.apache.spark.storage.BlockManager.getBlockData(BlockManager.scala:375)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.fetchLocalBlocks(ShuffleBlockFetcherIterator.scala:324)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.initialize(ShuffleBlockFetcherIterator.scala:359)
at
org.apache.spark.storage.ShuffleBlockFetcherIterator.<init>(ShuffleBlockFetcherIterator.scala:153)
at
org.apache.spark.shuffle.BlockStoreShuffleReader.read(BlockStoreShuffleReader.scala:45)
at
org.apache.spark.sql.execution.ShuffledRowRDD.compute(ShuffledRowRDD.scala:165)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.UnionRDD.compute(UnionRDD.scala:105) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) ... 6 more
> Executors are unable to fetch remote cache blocks
> -------------------------------------------------
>
> Key: SPARK-24346
> URL: https://issues.apache.org/jira/browse/SPARK-24346
> Project: Spark
> Issue Type: Bug
> Components: Shuffle, Spark Core
> Affects Versions: 2.3.0
> Environment: OS: Centos 7.3
> Cluster: Hortonwork HDP 2.6.5 with Spark 2.3.0
> Reporter: Truong Duc Kien
> Priority: Major
>
> After we upgrade from Spark 2.2.1 to Spark 2.3.0, our Spark jobs took a
> massive performance hit because executors become unable to fetch remote cache
> block from each others. The scenario is:
> 1. An executor creates a connection and sends a ChunkFetchRequest message to
> another executor.
> 2. This request arrives at the target executor, which sends back a
> ChunkFetchSuccess response
> 3. The ChunkFetchSuccess msg never arrives.
> 4. The connection between these two executors is killed by the originating
> executor after 120s of idleness. At the same time, the other executor report
> that it failed to send the ChunkFetchSuccess because the pipe is closed.
> This process repeats itself 3 times, delaying our jobs by 6 minutes, then the
> originating executor decides to stop fetching and calculates the block by
> itself and the job can continue.
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