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From Lukas Kairies <lukas.xtree...@googlemail.com>
Subject Re: How to add jars to flink
Date Wed, 07 Jan 2015 14:05:23 GMT
Unfortunately, it does not work with XtreemFS. I set 
"fs.hdfs.hadoopconf" to the Hadoop configuration directory and tried to 
run the word count example:

bin/flink run -v examples/flink-java-examples-0.9-SNAPSHOT-WordCount.jar 
xtreemfs:///test.txt xtreemfs:///result.txt

The following error occurred:

Error: The main method caused an error.
org.apache.flink.client.program.ProgramInvocationException: The main 
method caused an error.
     at 
org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:449)
     at 
org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:350)
     at org.apache.flink.client.program.Client.run(Client.java:242)
     at 
org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:349)
     at org.apache.flink.client.CliFrontend.run(CliFrontend.java:336)
     at 
org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:976)
     at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1000)
Caused by: java.io.IOException: The given file URI 
(xtreemfs:///result.txt) points to the HDFS NameNode at null, but the 
File System could not be initialized with that address: port out of range:-1
     at 
org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.initialize(HadoopFileSystem.java:325)
     at org.apache.flink.core.fs.FileSystem.get(FileSystem.java:244)
     at org.apache.flink.core.fs.Path.getFileSystem(Path.java:299)
     at 
org.apache.flink.api.common.io.FileOutputFormat.initializeGlobal(FileOutputFormat.java:267)
     at 
org.apache.flink.runtime.jobgraph.OutputFormatVertex.initializeOnMaster(OutputFormatVertex.java:84)
     at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1$$anonfun$applyOrElse$5.apply(JobManager.scala:179)
     at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1$$anonfun$applyOrElse$5.apply(JobManager.scala:172)
     at scala.collection.Iterator$class.foreach(Iterator.scala:727)
     at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
     at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
     at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
     at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:172)
     at 
scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
     at 
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
     at 
scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
     at 
org.apache.flink.yarn.YarnJobManager$$anonfun$receiveYarnMessages$1.applyOrElse(YarnJobManager.scala:68)
     at scala.PartialFunction$OrElse.apply(PartialFunction.scala:162)
     at 
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:37)
     at 
org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:27)
     at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
     at 
org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:27)
     at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
     at 
org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:52)
     at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
     at akka.actor.ActorCell.invoke(ActorCell.scala:487)
     at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
     at akka.dispatch.Mailbox.run(Mailbox.scala:221)
     at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
     at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
     at 
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
     at 
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
     at 
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.IllegalArgumentException: port out of range:-1
     at java.net.InetSocketAddress.checkPort(InetSocketAddress.java:143)
     at java.net.InetSocketAddress.<init>(InetSocketAddress.java:224)
     at 
org.xtreemfs.common.libxtreemfs.Helper.stringToInetSocketAddress(Helper.java:82)
     at 
org.xtreemfs.common.libxtreemfs.RPCCaller.getInetSocketAddressFromAddress(RPCCaller.java:301)
     at 
org.xtreemfs.common.libxtreemfs.RPCCaller.syncCall(RPCCaller.java:88)
     at 
org.xtreemfs.common.libxtreemfs.RPCCaller.syncCall(RPCCaller.java:49)
     at 
org.xtreemfs.common.libxtreemfs.ClientImplementation.listVolumeNames(ClientImplementation.java:529)
     at 
org.xtreemfs.common.clients.hadoop.XtreemFSFileSystem.initialize(XtreemFSFileSystem.java:164)
     at 
org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.initialize(HadoopFileSystem.java:311)
     ... 31 more

Am 07.01.2015 um 14:04 schrieb Stephan Ewen:
>
> Hi!
>
> You can reference a Hadoop configuration with a defaultFS entry via 
> "fs.hdfs.hadoopconf".
>
> Have a look at the configuration reference for details: 
> http://flink.incubator.apache.org/docs/0.7-incubating/config.html
>
> Let us know if it works for XtreemFS...
>
> Greetings,
> Stephan
>
> Am 07.01.2015 13:51 schrieb "Lukas Kairies" 
> <lukas.xtreemfs@googlemail.com <mailto:lukas.xtreemfs@googlemail.com>>:
>
>     Thanks, now it works :) It is possible so set a default filesystem
>     in flink like in Hadoop (with fs.default.name
>     <http://fs.default.name>)? Currently I always have to set the
>     complete file URI like xtreemfs://<host>:<port>/file
>
>     Best,
>     Lukas
>     Am 07.01.2015 um 12:22 schrieb Robert Metzger:
>>     Hi Lukas,
>>
>>     I see that there is a XtreemFS Hadoop client
>>     (http://www.xtreemfs.org/download.php?t=source). WIth this
>>     pending pull request https://github.com/apache/flink/pull/268 you
>>     can use all file systems supported by hadoop with Flink (we
>>     support the org.apache.hadoop.FileSystems interface).
>>
>>     The pull request has not been merged yet because of a failing
>>     test, but that should not affect you.
>>     If you want, you can check out the branch of my pull request
>>
>>     git clone https://github.com/rmetzger/flink.git
>>     cd flink
>>     git checkout flink1266
>>     mvn clean install -DskipTests
>>
>>     In the "flink-dist/target/flink-XXX/flink-yarn-XXX/" directory is
>>     the finished built.
>>
>>     Let me know if you need more help or information.
>>
>>     Best,
>>     Robert
>>
>>
>>     On Wed, Jan 7, 2015 at 12:00 PM, Lukas Kairies
>>     <lukas.xtreemfs@googlemail.com
>>     <mailto:lukas.xtreemfs@googlemail.com>> wrote:
>>
>>         Hello,
>>
>>         I like to test flink on YARN with the alternative file system
>>         XtreemFS. Therefore I have to add a jar file to flink but I
>>         found no possibility to do so. How can I do this? Hadoop
>>         works fine with XtreemFS.
>>
>>         Thanks
>>
>>         Lukas
>>
>>
>


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