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From "LINZ, Arnaud" <AL...@bouyguestelecom.fr>
Subject RE: Using HadoopInputFormat files from Flink/Yarn in a secure cluster gives an error
Date Thu, 20 Aug 2015 15:21:56 GMT
Hi Robert,

Yes, it’s an internal tool, which get an HDFS FileSystem instance. I do some Kerberos-related
operations, needed because I manipulate some HDFS files before executing the application.
The local cluster mode is working fine with the same code, and it does some HCat reading /
HDFS writing.

What HdfsTools does, in a nutshell :
  final Configuration cfg = new Configuration();
        cfg.addResource(new Path("/home/hadoop/conf/core-site.xml"));
        cfg.addResource(new Path("/home/hadoop/conf/hdfs-site.xml"));
        cfg.addResource(new Path(Environnement.getEnvVarQuietly("HADOOP_CONF_DIR") + "/core-site.xml"));
        cfg.addResource(new Path(Environnement.getEnvVarQuietly("HADOOP_CONF_DIR") + "/hdfs-site.xml"));
        // Kerberos handling
        if (isKerberosActive()) {
            loginKerberos(cfg);
        }
        filesys = FileSystem.get(cfg);

And the straightforward kerberos stuff:
public static synchronized void loginKerberos(Configuration cfg) {
        UserGroupInformation.setConfiguration(cfg);
        if (!loggedIn) {
            try {
                UserGroupInformation.loginUserFromKeytab(getKerberosPrincipal(), getKerberosKeytab());
                loggedIn = true;
                JournalUDF.logLocalFS("User " + UserGroupInformation.getLoginUser() + " :
Kerberos login succeeded ");
            }
            catch (IOException excep) {
                throw new GaneshRuntimeException("Unable to log (kerberos) : " + excep.toString(),
excep);
            }
        }
    }
loggedIn being static to the class, and alinz having all the proper rights.

From what I’ve seen on google, spark and hive/oozie ran into the same error and somewhat
corrected that, but I don’t know if it will help to see if it’s really the same pb.
I’m sending you the full trace on a private mail.

Arnaud

De : Robert Metzger [mailto:rmetzger@apache.org]
Envoyé : jeudi 20 août 2015 16:42
À : user@flink.apache.org
Objet : Re: Using HadoopInputFormat files from Flink/Yarn in a secure cluster gives an error

Hi Arnaud,

I suspect the "HdfsTools" are something internal from your company?
Are they doing any kerberos-related operations?

Is the local cluster mode also reading files from the secured HDFS cluster?

Flink is taking care of sending the authentication tokens from the client to the jobManager
and to the TaskManagers.
For HDFS Flink should also use these user settings.
I don't know whether the HCatalog code / Hadoop compatbililty code is also doing some kerberos
operations which are interfering with our efforts.

From the logs, you can see:
Secure Hadoop environment setup detected. Running in secure context.
15:04:18,005 INFO  org.apache.hadoop.security.UserGroupInformation               - Login successful
for user alinz using keytab file /usr/users/alinz/alinz.keytab

Is the user "alinz" authorized to access the files in HDFS?

I have to admit that I didn't see this issue before.
If possible, can you privately send the the full log of the application, using "yarn logs
-applicationId <ID>" ?


On Thu, Aug 20, 2015 at 4:08 PM, LINZ, Arnaud <ALINZ@bouyguestelecom.fr<mailto:ALINZ@bouyguestelecom.fr>>
wrote:
Hello,

My application handles as input and output some HDFS files in the jobs and in the driver application.
It works in local cluster mode, but when I’m trying to submit it to a yarn client, when
I try to use a HadoopInputFormat (that comes from a HCatalog request), I have the following
error: Delegation Token can be issued only with kerberos or web authentication (full stack
trace below).

Code which I believe causes the error (It’s not clear in the stack trace, as the nearest
point in my code is “execEnv.execute()”) :

public synchronized DataSet<T> readTable(String dbName, String tableName, String filter,
ExecutionEnvironment cluster,
        final HiveBeanFactory<T> factory) throws IOException {

        // login kerberos if needed (via UserGroupInformation.loginUserFromKeytab(getKerberosPrincipal(),
getKerberosKeytab());)
        HdfsTools.getFileSystem();

        // Create M/R job and configure it
        final Job job = Job.getInstance();
        job.setJobName("Flink source for Hive Table " + dbName + "." + tableName);

        // Crée la source
        @SuppressWarnings({ "unchecked", "rawtypes" })
        final HadoopInputFormat<NullWritable, DefaultHCatRecord> inputFormat = new HadoopInputFormat<NullWritable,
// CHECKSTYLE:OFF
        DefaultHCatRecord>(// CHECKSTYLE:ON
            (InputFormat) HCatInputFormat.setInput(job, dbName, tableName, filter), //
            NullWritable.class, //
            DefaultHCatRecord.class, //
            job);

        final HCatSchema inputSchema = HCatInputFormat.getTableSchema(job.getConfiguration());
        @SuppressWarnings("serial")
        final DataSet<T> dataSet = cluster
        // Read the table
            .createInput(inputFormat)
            // map bean (key is useless)
            .flatMap(new FlatMapFunction<Tuple2<NullWritable, DefaultHCatRecord>,
T>() {
                @Override
                public void flatMap(Tuple2<NullWritable, DefaultHCatRecord> value, Collector<T>
out) throws Exception {  // NOPMD
                    final T record = factory.fromHive(value.f1, inputSchema);
                    if (record != null) {
                        out.collect(record);
                    }
                }
            }).returns(beanClass);

        return dataSet;
    }

Maybe I need to explicitely get a token on each node in the initialization of HadoopInputFormat()
(overriding configure()) ? That would be difficult since the keyfile is on the driver’s
local drive…

StackTrace :

Found YARN properties file /usr/lib/flink/bin/../conf/.yarn-properties
Using JobManager address from YARN properties bt1svlmw.bpa.bouyguestelecom.fr/172.19.115.52:50494<http://bt1svlmw.bpa.bouyguestelecom.fr/172.19.115.52:50494>
Secure Hadoop environment setup detected. Running in secure context.
2015:08:20 15:04:17 (main) - INFO - com.bouygtel.kuberasdk.main.Application.mainMethod - Dï¿œbut
traitement
15:04:18,005 INFO  org.apache.hadoop.security.UserGroupInformation               - Login successful
for user alinz using keytab file /usr/users/alinz/alinz.keytab
15:04:20,139 WARN  org.apache.hadoop.hdfs.shortcircuit.DomainSocketFactory       - The short-circuit
local reads feature cannot be used because libhadoop cannot be loaded.
Error : Execution Kubera KO : java.lang.IllegalStateException: Error while executing Flink
application
com.bouygtel.kuberasdk.main.ApplicationBatch.execCluster(ApplicationBatch.java:84)
com.bouygtel.kubera.main.segment.ApplicationGeoSegment.batchExec(ApplicationGeoSegment.java:68)
com.bouygtel.kuberasdk.main.ApplicationBatch.exec(ApplicationBatch.java:51)
com.bouygtel.kuberasdk.main.Application.mainMethod(Application.java:81)
com.bouygtel.kubera.main.segment.MainGeoSmooth.main(MainGeoSmooth.java:44)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:606)
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:437)
org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:353)
org.apache.flink.client.program.Client.run(Client.java:315)
org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:584)
org.apache.flink.client.CliFrontend.run(CliFrontend.java:290)
org.apache.flink.client.CliFrontend$2.run(CliFrontend.java:873)
org.apache.flink.client.CliFrontend$2.run(CliFrontend.java:870)
org.apache.flink.runtime.security.SecurityUtils$1.run(SecurityUtils.java:50)
java.security.AccessController.doPrivileged(Native Method)
javax.security.auth.Subject.doAs(Subject.java:415)
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
org.apache.flink.runtime.security.SecurityUtils.runSecured(SecurityUtils.java:47)
org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:870)
org.apache.flink.client.CliFrontend.main(CliFrontend.java:922)

Caused by: org.apache.flink.client.program.ProgramInvocationException: The program execution
failed: Failed to submit job dddaf104260eb0f56ff336727ceeb49e (KUBERA-GEO-BRUT2SEGMENT)
org.apache.flink.client.program.Client.run(Client.java:413)
org.apache.flink.client.program.Client.run(Client.java:356)
org.apache.flink.client.program.Client.run(Client.java:349)
org.apache.flink.client.program.ContextEnvironment.execute(ContextEnvironment.java:63)
com.bouygtel.kuberasdk.main.ApplicationBatch.execCluster(ApplicationBatch.java:80)
com.bouygtel.kubera.main.segment.ApplicationGeoSegment.batchExec(ApplicationGeoSegment.java:68)
com.bouygtel.kuberasdk.main.ApplicationBatch.exec(ApplicationBatch.java:51)
com.bouygtel.kuberasdk.main.Application.mainMethod(Application.java:81)
com.bouygtel.kubera.main.segment.MainGeoSmooth.main(MainGeoSmooth.java:44)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:606)
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:437)
org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:353)
org.apache.flink.client.program.Client.run(Client.java:315)
org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:584)
org.apache.flink.client.CliFrontend.run(CliFrontend.java:290)
org.apache.flink.client.CliFrontend$2.run(CliFrontend.java:873)
org.apache.flink.client.CliFrontend$2.run(CliFrontend.java:870)
org.apache.flink.runtime.security.SecurityUtils$1.run(SecurityUtils.java:50)
java.security.AccessController.doPrivileged(Native Method)
javax.security.auth.Subject.doAs(Subject.java:415)
org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
org.apache.flink.runtime.security.SecurityUtils.runSecured(SecurityUtils.java:47)
org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:870)
org.apache.flink.client.CliFrontend.main(CliFrontend.java:922)

Caused by: org.apache.flink.runtime.client.JobExecutionException: Failed to submit job dddaf104260eb0f56ff336727ceeb49e
(KUBERA-GEO-BRUT2SEGMENT)
org.apache.flink.runtime.jobmanager.JobManager.org<http://org.apache.flink.runtime.jobmanager.JobManager.org>$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:594)
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:190)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
org.apache.flink.yarn.ApplicationMasterActor$$anonfun$receiveYarnMessages$1.applyOrElse(ApplicationMasterActor.scala:100)
scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
akka.actor.Actor$class.aroundReceive(Actor.scala:465)
org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:92)
akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
akka.actor.ActorCell.invoke(ActorCell.scala:487)
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
akka.dispatch.Mailbox.run(Mailbox.scala:221)
akka.dispatch.Mailbox.exec(Mailbox.scala:231)
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

Caused by: org.apache.flink.runtime.JobException: Creating the input splits caused an error:
Delegation Token can be issued only with kerberos or web authentication
        at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getDelegationToken(FSNamesystem.java:7609)
        at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getDelegationToken(NameNodeRpcServer.java:522)
        at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getDelegationToken(ClientNamenodeProtocolServerSideTranslatorPB.java:977)
        at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033)

org.apache.flink.runtime.executiongraph.ExecutionJobVertex.<init>(ExecutionJobVertex.java:162)
org.apache.flink.runtime.executiongraph.ExecutionGraph.attachJobGraph(ExecutionGraph.java:469)
org.apache.flink.runtime.jobmanager.JobManager.org<http://org.apache.flink.runtime.jobmanager.JobManager.org>$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:534)
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:190)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
org.apache.flink.yarn.ApplicationMasterActor$$anonfun$receiveYarnMessages$1.applyOrElse(ApplicationMasterActor.scala:100)
scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
akka.actor.Actor$class.aroundReceive(Actor.scala:465)
org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:92)
akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
akka.actor.ActorCell.invoke(ActorCell.scala:487)
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
akka.dispatch.Mailbox.run(Mailbox.scala:221)
akka.dispatch.Mailbox.exec(Mailbox.scala:231)
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

Caused by: org.apache.hadoop.ipc.RemoteException(java.io.IOException): Delegation Token can
be issued only with kerberos or web authentication
        at org.apache.hadoop.hdfs.server.namenode.FSNamesystem.getDelegationToken(FSNamesystem.java:7609)
        at org.apache.hadoop.hdfs.server.namenode.NameNodeRpcServer.getDelegationToken(NameNodeRpcServer.java:522)
        at org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolServerSideTranslatorPB.getDelegationToken(ClientNamenodeProtocolServerSideTranslatorPB.java:977)
        at org.apache.hadoop.hdfs.protocol.proto.ClientNamenodeProtocolProtos$ClientNamenodeProtocol$2.callBlockingMethod(ClientNamenodeProtocolProtos.java)
        at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619)
        at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039)
        at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035)
        at java.security.AccessController.doPrivileged(Native Method)
        at javax.security.auth.Subject.doAs(Subject.java:415)
        at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
        at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033)

org.apache.hadoop.ipc.Client.call(Client.java:1468)
org.apache.hadoop.ipc.Client.call(Client.java:1399)
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:232)
com.sun.proxy.$Proxy14.getDelegationToken(Unknown Source)
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getDelegationToken(ClientNamenodeProtocolTranslatorPB.java:909)
sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
java.lang.reflect.Method.invoke(Method.java:606)
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:187)
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
com.sun.proxy.$Proxy15.getDelegationToken(Unknown Source)
org.apache.hadoop.hdfs.DFSClient.getDelegationToken(DFSClient.java:1029)
org.apache.hadoop.hdfs.DistributedFileSystem.getDelegationToken(DistributedFileSystem.java:1355)
org.apache.hadoop.fs.FileSystem.collectDelegationTokens(FileSystem.java:529)
org.apache.hadoop.fs.FileSystem.addDelegationTokens(FileSystem.java:507)
org.apache.hadoop.hdfs.DistributedFileSystem.addDelegationTokens(DistributedFileSystem.java:2041)
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodesInternal(TokenCache.java:121)
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodesInternal(TokenCache.java:100)
org.apache.hadoop.mapreduce.security.TokenCache.obtainTokensForNamenodes(TokenCache.java:80)
org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:205)
org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313)
org.apache.hive.hcatalog.mapreduce.HCatBaseInputFormat.getSplits(HCatBaseInputFormat.java:157)
org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormatBase.createInputSplits(HadoopInputFormatBase.java:140)
org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormatBase.createInputSplits(HadoopInputFormatBase.java:51)
org.apache.flink.runtime.executiongraph.ExecutionJobVertex.<init>(ExecutionJobVertex.java:146)
org.apache.flink.runtime.executiongraph.ExecutionGraph.attachJobGraph(ExecutionGraph.java:469)
org.apache.flink.runtime.jobmanager.JobManager.org<http://org.apache.flink.runtime.jobmanager.JobManager.org>$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:534)
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:190)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
org.apache.flink.yarn.ApplicationMasterActor$$anonfun$receiveYarnMessages$1.applyOrElse(ApplicationMasterActor.scala:100)
scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
akka.actor.Actor$class.aroundReceive(Actor.scala:465)
org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:92)
akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
akka.actor.ActorCell.invoke(ActorCell.scala:487)
akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
akka.dispatch.Mailbox.run(Mailbox.scala:221)
akka.dispatch.Mailbox.exec(Mailbox.scala:231)
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)



Do you have any clue?

Best regards,
Arnaud



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