Luke Hutchison created FLINK-6115:
-------------------------------------
Summary: Need more helpful error message when trying to serialize
a tuple with a null field
Key: FLINK-6115
URL: https://issues.apache.org/jira/browse/FLINK-6115
Project: Flink
Issue Type: Bug
Components: Core
Affects Versions: 1.2.0
Reporter: Luke Hutchison
When Flink tries to serialize a tuple with a null field, you get the following,
which has no information about where in the program the problem occurred (all
the stack trace lines are in Flink, not in user code).
{noformat}
Exception in thread "main"
org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
at
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply$mcV$sp(JobManager.scala:900)
at
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:843)
at
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$6.apply(JobManager.scala:843)
at
scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at
scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$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: The record must not be null.
at
org.apache.flink.api.common.typeutils.base.array.StringArraySerializer.serialize(StringArraySerializer.java:73)
at
org.apache.flink.api.common.typeutils.base.array.StringArraySerializer.serialize(StringArraySerializer.java:33)
at
org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:124)
at
org.apache.flink.api.java.typeutils.runtime.TupleSerializer.serialize(TupleSerializer.java:30)
at
org.apache.flink.runtime.plugable.SerializationDelegate.write(SerializationDelegate.java:56)
at
org.apache.flink.runtime.io.network.api.serialization.SpanningRecordSerializer.addRecord(SpanningRecordSerializer.java:77)
at
org.apache.flink.runtime.io.network.api.writer.RecordWriter.sendToTarget(RecordWriter.java:113)
at
org.apache.flink.runtime.io.network.api.writer.RecordWriter.emit(RecordWriter.java:88)
at
org.apache.flink.runtime.operators.shipping.OutputCollector.collect(OutputCollector.java:65)
at
org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at
org.apache.flink.runtime.operators.chaining.ChainedMapDriver.collect(ChainedMapDriver.java:79)
at
org.apache.flink.runtime.operators.util.metrics.CountingCollector.collect(CountingCollector.java:35)
at
org.apache.flink.api.java.operators.translation.PlanFilterOperator$FlatMapFilter.flatMap(PlanFilterOperator.java:51)
at
org.apache.flink.runtime.operators.FlatMapDriver.run(FlatMapDriver.java:108)
at org.apache.flink.runtime.operators.BatchTask.run(BatchTask.java:490)
at
org.apache.flink.runtime.operators.BatchTask.invoke(BatchTask.java:355)
at org.apache.flink.runtime.taskmanager.Task.run(Task.java:655)
at java.lang.Thread.run(Thread.java:745)
{noformat}
The only thing I can tell from this is that it happened somewhere in a flatMap
(but I have dozens of them in my code). Surely there's a way to pull out the
source file name and line number from the program DAG node when errors like
this occur?
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