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From Stephan Ewen <se...@apache.org>
Subject Re: How to add jars to flink
Date Wed, 07 Jan 2015 14:28:42 GMT
It seems that the hadoop conf file is only evaluated with the scheme is
null. A non-null scheme tries to parse all information from the URI (which
here has no host and port defines, hence the error about "null" and "-1").

On Wed, Jan 7, 2015 at 3:11 PM, Robert Metzger <rmetzger@apache.org> wrote:

> 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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