[
https://issues.apache.org/jira/browse/SPARK-36196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Arghya Saha updated SPARK-36196:
--------------------------------
Component/s: PySpark
Kubernetes
> Spark FetchFailedException Stream is corrupted Error
> ----------------------------------------------------
>
> Key: SPARK-36196
> URL: https://issues.apache.org/jira/browse/SPARK-36196
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes, PySpark, Spark Core
> Affects Versions: 3.1.1, 3.1.2
> Environment: Spark on K8s
> Reporter: Arghya Saha
> Priority: Major
>
> I am running Spark on K8S. There are around thousands of jobs runs everyday
> but few are getting failed everyday(not same job) and with below exception.
> It succeed on retry. I have read about the error in multiple Jira and saw its
> resolved with Spark 3.0.0 but I am still getting the error with higher
> version.
> {code:java}
> org.apache.spark.shuffle.FetchFailedException: Stream is corrupted
> org.apache.spark.shuffle.FetchFailedException: Stream is corrupted at
> org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:770)
> at
> org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:845)
> at java.base/java.io.BufferedInputStream.fill(Unknown Source) at
> java.base/java.io.BufferedInputStream.read1(Unknown Source) at
> java.base/java.io.BufferedInputStream.read(Unknown Source) at
> java.base/java.io.DataInputStream.read(Unknown Source) 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$$anon$10.next(Iterator.scala:459) at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.sort_addToSorter_0$(Unknown
> Source) at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage4.processNext(Unknown
> Source) at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:755)
> at
> org.apache.spark.sql.execution.RowIteratorFromScala.advanceNext(RowIterator.scala:83)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinScanner.advancedBufferedToRowWithNullFreeJoinKey(SortMergeJoinExec.scala:817)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinScanner.<init>(SortMergeJoinExec.scala:687)
> at
> org.apache.spark.sql.execution.joins.SortMergeJoinExec.$anonfun$doExecute$1(SortMergeJoinExec.scala:197)
> at
> org.apache.spark.rdd.ZippedPartitionsRDD2.compute(ZippedPartitionsRDD.scala:89)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:337) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:337) at
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373) at
> org.apache.spark.rdd.RDD.iterator(RDD.scala:337) at
> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
> org.apache.spark.scheduler.Task.run(Task.scala:131) at
> org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439) at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500) at
> java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
> at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown
> Source) at java.base/java.lang.Thread.run(Unknown Source)Caused by:
> java.io.IOException: Stream is corrupted at
> net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:250) at
> net.jpountz.lz4.LZ4BlockInputStream.read(LZ4BlockInputStream.java:157) at
> org.apache.spark.storage.BufferReleasingInputStream.read(ShuffleBlockFetcherIterator.scala:841)
> ... 38 moreCaused by: net.jpountz.lz4.LZ4Exception: Error decoding offset
> 8785 of input buffer at
> net.jpountz.lz4.LZ4JNIFastDecompressor.decompress(LZ4JNIFastDecompressor.java:39)
> at net.jpountz.lz4.LZ4BlockInputStream.refill(LZ4BlockInputStream.java:245)
> ... 40 more
> {code}
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
