Details
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Sub-task
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Status: In Progress
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Major
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Resolution: Unresolved
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3.3.0
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None
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None
Description
To workaround this issue:
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