You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2021/05/16 01:27:00 UTC
[jira] [Commented] (SPARK-35406) TaskCompletionListenerException:
Premature end of Content-Length delimited message body
[ https://issues.apache.org/jira/browse/SPARK-35406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17345610#comment-17345610 ]
Hyukjin Kwon commented on SPARK-35406:
--------------------------------------
[~Avik.Aggarwal], Spark 2.4 reached EOL. Can you see if the same thing happens in Spark 3.0+?
> TaskCompletionListenerException: Premature end of Content-Length delimited message body
> ---------------------------------------------------------------------------------------
>
> Key: SPARK-35406
> URL: https://issues.apache.org/jira/browse/SPARK-35406
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.4.7
> Environment: Spark 2.4.7
> Build with Hadoop 2.7.3
> hadoop-aws jar 2.7.3
> aws-java-sdk 1.7.4
> EKS 1.18
> Reporter: Avik Aggarwal
> Priority: Major
> Labels: Kubernetes
>
> Running Spark on kubernetes (EKS 1.18) and Below version fo different components:
> Spark 2.4.7
> Build with Hadoop 2.7.3
> hadoop-aws jar 2.7.3
> aws-java-sdk 1.7.4
>
> I am using s3a endpoint for reading S3 objects from private repository and appropriate role has been given to executors.
>
> I am facing below error while read/writing bigger files from/to S3.
> Size for which I am facing issue - early MBs (10-30).
> While it works for files with KBs of size.
>
> Logs : -
> {code:java}
> : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0 (TID 6, 10.83.7.112, executor 2): org.apache.spark.util.TaskCompletionListenerException: Premature end of Content-Length delimited message body (expected: 3918825; received: 18020
> at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:138)
> at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:116)
> at org.apache.spark.scheduler.Task.run(Task.scala:139)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1925)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1913)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1912)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1912)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:948)
> at scala.Option.foreach(Option.scala:257)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:948)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2146)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2095)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2084)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:759)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2061)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2082)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:2101)
> at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:365)
> at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collectFromPlan(Dataset.scala:3389)
> at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
> at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:2550)
> at org.apache.spark.sql.Dataset$$anonfun$52.apply(Dataset.scala:3370)
> at org.apache.spark.sql.execution.SQLExecution$$anonfun$withNewExecutionId$1.apply(SQLExecution.scala:80)
> at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:127)
> at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:75)
> at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$withAction(Dataset.scala:3369)
> at org.apache.spark.sql.Dataset.head(Dataset.scala:2550)
> at org.apache.spark.sql.Dataset.take(Dataset.scala:2764)
> at org.apache.spark.sql.execution.datasources.csv.TextInputCSVDataSource$.infer(CSVDataSource.scala:236)
> at org.apache.spark.sql.execution.datasources.csv.CSVDataSource.inferSchema(CSVDataSource.scala:68)
> at org.apache.spark.sql.execution.datasources.csv.CSVFileFormat.inferSchema(CSVFileFormat.scala:63)
> at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$6.apply(DataSource.scala:194)
> at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$6.apply(DataSource.scala:194)
> at scala.Option.orElse(Option.scala:289)
> at org.apache.spark.sql.execution.datasources.DataSource.getOrInferFileFormatSchema(DataSource.scala:193)
> at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:387)
> at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:242)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:230)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:197)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
> at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)
> at py4j.Gateway.invoke(Gateway.java:282)
> at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
> at py4j.commands.CallCommand.execute(CallCommand.java:79)
> at py4j.GatewayConnection.run(GatewayConnection.java:238)
> at java.lang.Thread.run(Thread.java:748)
> Caused by: org.apache.spark.util.TaskCompletionListenerException: Premature end of Content-Length delimited message body (expected: 3918825; received: 18020
> at org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:138)
> at org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:116)
> at org.apache.spark.scheduler.Task.run(Task.scala:139)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> {code}
>
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org