Hello, I'm trying to run a Flink WordCount job on an AWS EMR cluster. I succeeded with a three-step procedure: load data from S3 to cluster's HDFS, run Flink Job, unload outputs from HDFS to S3.
However, ideally I'd like to read/write data directly from/to S3. I followed the instructions here: https://ci.apache.org/projects/flink/flink-docs-release-1.0/apis/batch/connectors.html, more specifically I: 1. Modified flink-conf to point to /etc/hadoop/conf 2. Modified core-site.xml per link above (not clear why why it is not using IAM, I had to provide AWS keys explicitly). Run the following command: HADOOP_CONF_DIR=/etc/hadoop/conf flink-1.0.0/bin/flink run -m yarn-cluster -yn 1 -yjm 768 -ytm 768 flink-1.0.0/examples/batch/WordCount.jar --input s3://<my key> --output hdfs:///flink-output First, I see messages like that: 2016-04-04 21:37:10,418 INFO org.apache.hadoop.fs.s3native.NativeS3FileSystem - Opening key '<my key>' for reading at position '333000' Then, it fails with the following error: ------------------------------------------------------------ The program finished with the following exception: org.apache.flink.client.program.ProgramInvocationException: The program execution failed: Failed to submit job fc13373d993539e647f164e12d82bf90 (WordCount Example) at org.apache.flink.client.program.Client.runBlocking(Client.java:381) at org.apache.flink.client.program.Client.runBlocking(Client.java:355) at org.apache.flink.client.program.Client.runBlocking(Client.java:315) at org.apache.flink.client.program.ContextEnvironment.execute(ContextEnvironment.java:60) at org.apache.flink.examples.java.wordcount.WordCount.main(WordCount.java:90) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:505) at org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:403) at org.apache.flink.client.program.Client.runBlocking(Client.java:248) at org.apache.flink.client.CliFrontend.executeProgramBlocking(CliFrontend.java:866) at org.apache.flink.client.CliFrontend.run(CliFrontend.java:333) at org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1189) at org.apache.flink.client.CliFrontend.main(CliFrontend.java:1239) Caused by: org.apache.flink.runtime.client.JobExecutionException: Failed to submit job fc13373d993539e647f164e12d82bf90 (WordCount Example) at org.apache.flink.runtime.jobmanager.JobManager.org $apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:1100) at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1.applyOrElse(JobManager.scala:380) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at org.apache.flink.yarn.YarnJobManager$$anonfun$handleYarnMessage$1.applyOrElse(YarnJobManager.scala:153) at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167) at org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:36) at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:33) at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:28) at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123) at org.apache.flink.runtime.LogMessages$$anon$1.applyOrElse(LogMessages.scala:28) at akka.actor.Actor$class.aroundReceive(Actor.scala:465) at org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:106) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254) at akka.dispatch.Mailbox.run(Mailbox.scala:221) at akka.dispatch.Mailbox.exec(Mailbox.scala:231) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) Caused by: org.apache.flink.runtime.JobException: Creating the input splits caused an error: org.apache.hadoop.conf.Configuration.addResource(Lorg/apache/hadoop/conf/Configuration;)V at org.apache.flink.runtime.executiongraph.ExecutionJobVertex.<init>(ExecutionJobVertex.java:172) at org.apache.flink.runtime.executiongraph.ExecutionGraph.attachJobGraph(ExecutionGraph.java:696) at org.apache.flink.runtime.jobmanager.JobManager.org $apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:1023) ... 21 more Caused by: java.lang.NoSuchMethodError: org.apache.hadoop.conf.Configuration.addResource(Lorg/apache/hadoop/conf/Configuration;)V at com.amazon.ws.emr.hadoop.fs.EmrFileSystem.initialize(EmrFileSystem.java:96) at org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.initialize(HadoopFileSystem.java:321) at org.apache.flink.core.fs.FileSystem.get(FileSystem.java:291) at org.apache.flink.core.fs.Path.getFileSystem(Path.java:311) at org.apache.flink.api.common.io.FileInputFormat.createInputSplits(FileInputFormat.java:450) at org.apache.flink.api.common.io.FileInputFormat.createInputSplits(FileInputFormat.java:57) at org.apache.flink.runtime.executiongraph.ExecutionJobVertex.<init>(ExecutionJobVertex.java:156) ... 23 more Somehow, it's still tries to use EMRFS (which may be a valid thing?), but it is failing to initialize. I don't know enough about EMRFS/S3 interop so don't know how diagnose it further. I run Flink 1.0.0 compiled for Scala 2.11. Any advice on how to make it work is highly appreciated. Thanks, Timur
