I was able to reproduce the issue. This is the JIRA:
https://issues.apache.org/jira/browse/FLINK-2555
I've already opened a pull request with the fix.
The problem was that our HadoopInputFormat wrapper was not correctly
passing the security credentials from the Job object to the cluster.
Consider this code posted by Arnaud in the initial message:
*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);
in the "Job.getInstance()" call, the current authentication credentials of
the user are stored.
They are later passed to the HadoopInputFormat class (last line), but Flink
was not properly making the Credentials available again on the cluster.
The pull request should resolve the issue (I've verified it on a secured
CDH 5.3 setup)
Thank you for reporting the bug!
On Thu, Aug 20, 2015 at 5:21 PM, LINZ, Arnaud <al...@bouyguestelecom.fr>
wrote:
> 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:rmetz...@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 <al...@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
>
> 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
> $apache$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
> $apache$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
> $apache$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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>
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>
>
>
