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https://issues.apache.org/jira/browse/HADOOP-14062?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15855298#comment-15855298
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Jian He edited comment on HADOOP-14062 at 2/7/17 4:27 AM:
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Do you mean TestDFSIO fails without the patch the patch, and pass with the
patch ? How about the original issue you reported about AM allocate ? Does that
also fail without the patch and pass with the patch ? Frankly, I'm also unsure
the correctness of the patch. Hence,a UT can prove It. This doesn't seem like
an easy bug. Regardless what the solution is, the UT will still be useful and
hopefully the same, so the work won't be wasted.
was (Author: jianhe):
Do you mean TestDFSIO fails without the patch the patch, and pass with the
patch ? How about the original issue you reported about AM allocate ? Does that
also fail without the patch and pass with the patch ? Frankly, I'm also unsure
the correctness of the patch. It doesn't seem like an easy bug. Regardless
what the solution is, the UT will still be useful and hopefully the same, so
the work won't be wasted.
> 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
> Priority: Critical
> Attachments: YARN-6013-branch-2.8.0.002.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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