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From Robert Metzger <rmetz...@apache.org>
Subject Re: How to add jars to flink
Date Wed, 07 Jan 2015 14:11:43 GMT
Does one of the Hadoop configuration files contain an entry with the key
"fs.xtreemfs.impl" ?

On Wed, Jan 7, 2015 at 3:05 PM, Lukas Kairies <lukas.xtreemfs@googlemail.com
> wrote:

>  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>:
>
>>  Thanks, now it works :) It is possible so set a default filesystem in
>> flink like in Hadoop (with 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> 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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