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Fernando Pereira commented on SPARK-21172: ------------------------------------------ I'm getting the same problem, even though my data is relativelly small (~10GB) {code:java} java.io.EOFException: reached end of stream after reading 16 bytes; 40 bytes expected at org.spark_project.guava.io.ByteStreams.readFully(ByteStreams.java:735) 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$$anon$12.next(Iterator.scala:444) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30) at org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:40) at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys1$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408) at org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:166) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53) at org.apache.spark.scheduler.Task.run(Task.scala:108) {code} I believe it started to appear when I customized the number of shuffle partitions, maybe there's something about odd numbers. > EOFException reached end of stream in UnsafeRowSerializer > --------------------------------------------------------- > > Key: SPARK-21172 > URL: https://issues.apache.org/jira/browse/SPARK-21172 > Project: Spark > Issue Type: Bug > Components: Shuffle > Affects Versions: 2.0.1 > Reporter: liupengcheng > Labels: shuffle > > Spark sql job failed because of the following Exception. Seems like a bug in > shuffle stage. > Shuffle read size for single task is tens of GB > {code} > org.apache.spark.SparkException: Task failed while writing rows > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:264) > 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:1145) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.io.EOFException: reached end of stream after reading 9034374 > bytes; 1684891936 bytes expected > at > org.spark_project.guava.io.ByteStreams.readFully(ByteStreams.java:735) > 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$$anon$12.next(Iterator.scala:444) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30) > at > org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43) > at scala.collection.Iterator$$anon$11.next(Iterator.scala:409) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:255) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:253) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:253) > at > org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1345) > at > org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:259) > ... 8 more > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org