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https://issues.apache.org/jira/browse/SPARK-37535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-37535:
------------------------------------
Assignee: (was: Apache Spark)
> Change default spark.io.compression.codec to zstd
> -------------------------------------------------
>
> Key: SPARK-37535
> URL: https://issues.apache.org/jira/browse/SPARK-37535
> Project: Spark
> Issue Type: Sub-task
> Components: Spark Core
> Affects Versions: 3.3.0
> Reporter: Yuming Wang
> Priority: Major
>
> To workaround this issue:
> {noformat}
> org.apache.spark.shuffle.FetchFailedException: Stream is corrupted
> at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:830)
> at
> org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:926)
> at java.io.BufferedInputStream.fill(BufferedInputStream.java:246)
> at java.io.BufferedInputStream.read1(BufferedInputStream.java:286)
> at java.io.BufferedInputStream.read(BufferedInputStream.java:345)
> at java.io.DataInputStream.read(DataInputStream.java:149)
> at org.sparkproject.guava.io.ByteStreams.read(ByteStreams.java:899)
> at org.sparkproject.guava.io.ByteStreams.readFully(ByteStreams.java:733)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.next(UnsafeRowSerializer.scala:127)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$2$$anon$3.next(UnsafeRowSerializer.scala:110)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:494)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
> at
> org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:29)
> at
> org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:40)
> at scala.collection.Iterator$$anon$10.next(Iterator.scala:459)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.sort_addToSorter_0$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:50)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:730)
> at
> org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:255)
> at
> org.apache.spark.sql.execution.SortExecBase.$anonfun$doExecute$1(SortExec.scala:266)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:913)
> at
> org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:913)
> at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:388)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:315)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:129)
> at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:486)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1379)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:489)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: java.io.IOException: Stream is corrupted
> at
> net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:259)
> at
> net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157)
> at
> org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:922)
> ... 32 more
> {noformat}
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