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https://issues.apache.org/jira/browse/SPARK-18105?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17399465#comment-17399465
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dragonlong edited comment on SPARK-18105 at 8/16/21, 3:25 AM:
--------------------------------------------------------------
[~cameron.todd] Hi, is any news? I issue this problem both in spark 2.3 and
spark 3.0. Thanks.
Here is the spark3.0 trace:
{code:java}
// code placeholder
FetchFailed(BlockManagerId(19, xxxxx, 26065, None), shuffleId=0, mapId=841,
reduceId=1024, message=FetchFailed(BlockManagerId(19, xxxxx, 26065, None),
shuffleId=0, mapId=841, reduceId=1024,
message=org.apache.spark.shuffle.FetchFailedException: Stream is corrupted at
org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:750)
at
org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:823)
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.next(UnsafeRowSerializer.scala:129)
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$$anon$10.next(Iterator.scala:459) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225)
at
org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
org.apache.spark.scheduler.Task.run(Task.scala:127) at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$runWithUgi$3(Executor.scala:462)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at
org.apache.spark.executor.Executor$TaskRunner.runWithUgi(Executor.scala:465) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:394) 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:250) at
net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:226) at
net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157) at
org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:819)
... 30 more
Caused by: net.jpountz.lz4.LZ4Exception: Error decoding offset 94821 of input
buffer at
net.jpountz.lz4.LZ4JNIFastDecompressor.decompress(LZ4JNIFastDecompressor.java:39)
at net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:245)
... 33 more
{code}
was (Author: dragonlong):
[~cameron.todd] Hi, is any news? I issue this problem both in spark 2.3 and
spark 3.0. Thanks.
Here is the spark3.0 trace:
{code:java}
// code placeholder
FetchFailed(BlockManagerId(19, xxxxx, 26065, None), shuffleId=0, mapId=841,
reduceId=1024, message=FetchFailed(BlockManagerId(19, xxxxx, 26065, None),
shuffleId=0, mapId=841, reduceId=1024,
message=org.apache.spark.shuffle.FetchFailedException: Stream is corrupted at
org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:750)
at
org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:823)
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.next(UnsafeRowSerializer.scala:129)
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$$anon$10.next(Iterator.scala:459) at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage6.processNext(Unknown
Source) at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
at
org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:225)
at
org.apache.spark.sql.execution.SortExec.$anonfun$doExecute$1(SortExec.scala:119)
at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872) at
org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:313) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
org.apache.spark.scheduler.Task.run(Task.scala:127) at
org.apache.spark.executor.Executor$TaskRunner.$anonfun$runWithUgi$3(Executor.scala:462)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377) at
org.apache.spark.executor.Executor$TaskRunner.runWithUgi(Executor.scala:465) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:394) 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:250) at
net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:226) at
net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157) at
org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:819)
... 30 moreCaused by: net.jpountz.lz4.LZ4Exception: Error decoding offset
94821 of input buffer at
net.jpountz.lz4.LZ4JNIFastDecompressor.decompress(LZ4JNIFastDecompressor.java:39)
at net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:245)
... 33 more
{code}
> LZ4 failed to decompress a stream of shuffled data
> --------------------------------------------------
>
> Key: SPARK-18105
> URL: https://issues.apache.org/jira/browse/SPARK-18105
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.0.1, 3.1.1
> Reporter: Davies Liu
> Priority: Major
> Attachments: TestWeightedGraph.java
>
>
> When lz4 is used to compress the shuffle files, it may fail to decompress it
> as "stream is corrupt"
> {code}
> Caused by: org.apache.spark.SparkException: Job aborted due to stage failure:
> Task 92 in stage 5.0 failed 4 times, most recent failure: Lost task 92.3 in
> stage 5.0 (TID 16616, 10.0.27.18): java.io.IOException: Stream is corrupted
> at
> org.apache.spark.io.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:220)
> at
> org.apache.spark.io.LZ4BlockInputStream.available(LZ4BlockInputStream.java:109)
> at java.io.BufferedInputStream.read(BufferedInputStream.java:353)
> at java.io.DataInputStream.read(DataInputStream.java:149)
> at com.google.common.io.ByteStreams.read(ByteStreams.java:828)
> at com.google.common.io.ByteStreams.readFully(ByteStreams.java:695)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:127)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:110)
> at scala.collection.Iterator$$anon$13.next(Iterator.scala:372)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at
> org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
> at
> org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.sort_addToSorter$(Unknown
> Source)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
> at
> org.apache.spark.sql.execution.datasources.DynamicPartitionWriterContainer.writeRows(WriterContainer.scala:397)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$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)
> {code}
> https://github.com/jpountz/lz4-java/issues/89
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