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 >>> >> >> >> >
