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wuyi commented on SPARK-36196: ------------------------------ Hi [~arghya18] Did you try to apply the fix of https://issues.apache.org/jira/browse/SPARK-32658? > 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 > 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: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org