Maybe the xtreemfs configuration is wrong?
The exception you've posted has been thrown by xtreemfs.
If you were using HDFS, I would suggest to configure something like
"fs.defaultFS", but I don't know how xtreemfs resolves the master address
if its not specified.
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
On Wed, Jan 7, 2015 at 3:28 PM, Stephan Ewen <[email protected]> wrote:
> 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 <[email protected]>
> 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 <
>> [email protected]> 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" <
>>> [email protected]>:
>>>
>>>> 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 <
>>>> [email protected]> 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
>>>>>
>>>>
>>>>
>>>>
>>>
>>
>
