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Posted to common-dev@hadoop.apache.org by "Jian He (JIRA)" <ji...@apache.org> on 2017/03/08 21:22:38 UTC
[jira] [Reopened] (HADOOP-14062)
ApplicationMasterProtocolPBClientImpl.allocate fails with EOFException when
RPC privacy is enabled
[ https://issues.apache.org/jira/browse/HADOOP-14062?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jian He reopened HADOOP-14062:
------------------------------
> ApplicationMasterProtocolPBClientImpl.allocate fails with EOFException when RPC privacy is enabled
> --------------------------------------------------------------------------------------------------
>
> Key: HADOOP-14062
> URL: https://issues.apache.org/jira/browse/HADOOP-14062
> Project: Hadoop Common
> Issue Type: Bug
> Affects Versions: 2.8.0
> Reporter: Steven Rand
> Assignee: Steven Rand
> Priority: Critical
> Fix For: 2.8.0, 3.0.0-alpha3
>
> Attachments: HADOOP-14062.001.patch, HADOOP-14062.002.patch, HADOOP-14062.003.patch, HADOOP-14062-branch-2.8.0.004.patch, HADOOP-14062-branch-2.8.0.005.patch, HADOOP-14062-branch-2.8.0.005.patch, HADOOP-14062-branch-2.8.0.dummy.patch, yarn-rm-log.txt
>
>
> When privacy is enabled for RPC (hadoop.rpc.protection = privacy), {{ApplicationMasterProtocolPBClientImpl.allocate}} sometimes (but not always) fails with an EOFException. I've reproduced this with Spark 2.0.2 built against latest branch-2.8 and with a simple distcp job on latest branch-2.8.
> Steps to reproduce using distcp:
> 1. Set hadoop.rpc.protection equal to privacy
> 2. Write data to HDFS. I did this with Spark as follows:
> {code}
> sc.parallelize(1 to (5*1024*1024)).map(k => Seq(k, org.apache.commons.lang.RandomStringUtils.random(1024, "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWxyZ0123456789")).mkString("|")).toDF().repartition(100).write.parquet("hdfs:///tmp/testData")
> {code}
> 3. Attempt to distcp that data to another location in HDFS. For example:
> {code}
> hadoop distcp -Dmapreduce.framework.name=yarn hdfs:///tmp/testData hdfs:///tmp/testDataCopy
> {code}
> I observed this error in the ApplicationMaster's syslog:
> {code}
> 2016-12-19 19:13:50,097 INFO [eventHandlingThread] org.apache.hadoop.mapreduce.jobhistory.JobHistoryEventHandler: Event Writer setup for JobId: job_1482189777425_0004, File: hdfs://<namenode_host>:8020/tmp/hadoop-yarn/staging/<hdfs_user>/.staging/job_1482189777425_0004/job_1482189777425_0004_1.jhist
> 2016-12-19 19:13:51,004 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Before Scheduling: PendingReds:0 ScheduledMaps:4 ScheduledReds:0 AssignedMaps:0 AssignedReds:0 CompletedMaps:0 CompletedReds:0 ContAlloc:0 ContRel:0 HostLocal:0 RackLocal:0
> 2016-12-19 19:13:51,031 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerRequestor: getResources() for application_1482189777425_0004: ask=1 release= 0 newContainers=0 finishedContainers=0 resourcelimit=<memory:22528, vCores:23> knownNMs=3
> 2016-12-19 19:13:52,043 INFO [RMCommunicator Allocator] org.apache.hadoop.io.retry.RetryInvocationHandler: Exception while invoking ApplicationMasterProtocolPBClientImpl.allocate over null. Retrying after sleeping for 30000ms.
> java.io.EOFException: End of File Exception between local host is: "<application_master_host>/<ip_addr>"; destination host is: "<rm_host>":8030; : java.io.EOFException; For more details see: http://wiki.apache.org/hadoop/EOFException
> at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> at java.lang.reflect.Constructor.newInstance(Constructor.java:422)
> at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:801)
> at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:765)
> at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1486)
> at org.apache.hadoop.ipc.Client.call(Client.java:1428)
> at org.apache.hadoop.ipc.Client.call(Client.java:1338)
> at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:227)
> at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:116)
> at com.sun.proxy.$Proxy80.allocate(Unknown Source)
> at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationMasterProtocolPBClientImpl.allocate(ApplicationMasterProtocolPBClientImpl.java:77)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:398)
> at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:163)
> at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:155)
> at org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
> at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:335)
> at com.sun.proxy.$Proxy81.allocate(Unknown Source)
> at org.apache.hadoop.mapreduce.v2.app.rm.RMContainerRequestor.makeRemoteRequest(RMContainerRequestor.java:204)
> at org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator.getResources(RMContainerAllocator.java:735)
> at org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator.heartbeat(RMContainerAllocator.java:269)
> at org.apache.hadoop.mapreduce.v2.app.rm.RMCommunicator$AllocatorRunnable.run(RMCommunicator.java:281)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.EOFException
> at java.io.DataInputStream.readInt(DataInputStream.java:392)
> at org.apache.hadoop.ipc.Client$IpcStreams.readResponse(Client.java:1785)
> at org.apache.hadoop.ipc.Client$Connection.receiveRpcResponse(Client.java:1156)
> at org.apache.hadoop.ipc.Client$Connection.run(Client.java:1053)
> {code}
> Marking as "critical" since this blocks YARN users from encrypting RPC in their Hadoop clusters.
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