Hello,
We have recently upgraded flink to version 1.4.2. Now our jobs that rely on
Parquet/Avro files located on HDFS stopped working.
I get exception:
Caused by: org.apache.flink.runtime.client.JobExecutionException: Cannot
initialize task 'CHAIN DataSource (READING_RECORDS) -> Map
(MAPPING_RECORDS)': Deserializing the InputFormat
(org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormat@50bb10fd)
failed: unread block data
at
org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:168)
at
org.apache.flink.runtime.jobmanager.JobManager.org$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:1277)
at
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1.applyOrElse(JobManager.scala:447)
at
scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
at
org.apache.flink.runtime.clusterframework.ContaineredJobManager$$anonfun$handleContainerMessage$1.applyOrElse(ContaineredJobManager.scala:107)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at
org.apache.flink.yarn.YarnJobManager$$anonfun$handleYarnShutdown$1.applyOrElse(YarnJobManager.scala:110)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at
org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:38)
at
scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
at
org.apache.flink.runtime.LogMessages$$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:502)
at
org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:122)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:526)
at akka.actor.ActorCell.invoke(ActorCell.scala:495)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:257)
at akka.dispatch.Mailbox.run(Mailbox.scala:224)
at akka.dispatch.Mailbox.exec(Mailbox.scala:234)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.Exception: Deserializing the InputFormat
(org.apache.flink.api.java.hadoop.mapreduce.HadoopInputFormat@50bb10fd)
failed: unread block data
at
org.apache.flink.runtime.jobgraph.InputFormatVertex.initializeOnMaster(InputFormatVertex.java:66)
at
org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:164)
... 24 common frames omitted
Caused by: java.lang.IllegalStateException: unread block data
at
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2740)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1567)
at
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2245)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:2169)
at
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:2027)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1535)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:422)
at
org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:437)
at
org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:424)
at
org.apache.flink.util.InstantiationUtil.deserializeObject(InstantiationUtil.java:412)
at
org.apache.flink.util.InstantiationUtil.readObjectFromConfig(InstantiationUtil.java:373)
at
org.apache.flink.runtime.operators.util.TaskConfig.getStubWrapper(TaskConfig.java:288)
at
org.apache.flink.runtime.jobgraph.InputFormatVertex.initializeOnMaster(InputFormatVertex.java:63)
... 25 common frames omitted
Im some other topic i have read about problem with primitives, but I dont
know if that is something similar to serializing of HadoopInputFormat. Do
you have any info what could be wrong?
We have new flink-hadoop-compatibility version also upgraded in flink
classpath.
--
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