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https://issues.apache.org/jira/browse/HDFS-13419?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16432402#comment-16432402
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Kihwal Lee commented on HDFS-13419:
-----------------------------------
Yes, a token is checked on connection establishment. If the connection stays
up, token expiration won't affect on-going requests.
Do you have a use case that require connection to be closed by server on token
expiration?
> client can communicate to server even if hdfs delegation token expired
> ----------------------------------------------------------------------
>
> Key: HDFS-13419
> URL: https://issues.apache.org/jira/browse/HDFS-13419
> Project: Hadoop HDFS
> Issue Type: Bug
> Reporter: wangqiang.shen
> Priority: Minor
>
> i was testing hdfs delegation token expired problem use spark streaming, if i
> set my batch interval small than 10 sec, my spark streaming program will not
> dead, but if batch interval was setted bigger than 10 sec, the spark
> streaming program will dead because of hdfs delegation token expire problem,
> and the exception as follows
> {code:java}
> org.apache.hadoop.ipc.RemoteException(org.apache.hadoop.security.token.SecretManager$InvalidToken):
> token (HDFS_DELEGATION_TOKEN token 14042 for test) is expired
> at org.apache.hadoop.ipc.Client.call(Client.java:1468)
> at org.apache.hadoop.ipc.Client.call(Client.java:1399)
> at
> org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232)
> at com.sun.proxy.$Proxy11.getListing(Unknown Source)
> at
> org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getListing(ClientNamenodeProtocolTranslatorPB.java:554)
> at sun.reflect.GeneratedMethodAccessor40.invoke(Unknown Source)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
> at
> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
> at com.sun.proxy.$Proxy12.getListing(Unknown Source)
> at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1969)
> at org.apache.hadoop.hdfs.DFSClient.listPaths(DFSClient.java:1952)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.listStatusInternal(DistributedFileSystem.java:693)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.access$600(DistributedFileSystem.java:105)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$15.doCall(DistributedFileSystem.java:755)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem$15.doCall(DistributedFileSystem.java:751)
> at
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
> at
> org.apache.hadoop.hdfs.DistributedFileSystem.listStatus(DistributedFileSystem.java:751)
> at com.envisioncn.arch.App$2$1.call(App.java:120)
> at com.envisioncn.arch.App$2$1.call(App.java:91)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:218)
> at
> org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:218)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:902)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:902)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1899)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1899)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$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)
> {code}
> the spark streaming program only call FileSystem.listStatus function in every
> batch
> {code:java}
> FileSystem fs = FileSystem.get(new Configuration());
> FileStatus[] status = fs.listStatus(new Path("/"));
> for(FileStatus status1 : status){
> System.out.println(status1.getPath());
> }
> {code}
> and i found when hadoop client send rpc request to server, it will first get
> a connection object and set up the connection if the connection dose not
> exists.And it will get a SaslRpcClient to connect to the server side in the
> connection setup stage.Also server will authenticate the client at the
> connection setup stage. But if the connection exists, client will use the
> existed connection, so the authentication stage will not happen.
> The connection between client and server will be closed if it's idle time
> exceeds ipc.client.connection.maxidletime, and
> ipc.client.connection.maxidletime default value is 10sec. Therefore, if i
> continue send request to server at fixed interval as long as the interval
> small than 10sec, the connection will not be closed, so delegation token
> expire problem will not happen.
>
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