[SPARK-35406] TaskCompletionListenerException: Premature end of Content-Length delimited message body

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Done
• Affects Version/s: 2.4.7
• Component/s: Spark Core
• Labels: Kubernetes

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

• Flags: Important
• Assignee: Unassigned
• Reporter: Avik Aggarwal
• Created: 14/May/21 18:45
• Updated: 12/Dec/22 18:10
• Resolved: 04/Jun/21 09:25

Description

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 : -

: 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)

 

Issue Links

• relates to: HADOOP-17338 Intermittent S3AInputStream failures: Premature end of Content-Length delimited message body etc