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] <mailto:[email protected]>>:
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
<[email protected]
<mailto:[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
