yws created BEAM-10881:
--------------------------
Summary: spark-runner kakfaIO beam throws ConcurrentModification
after running 2 hours
Key: BEAM-10881
URL: https://issues.apache.org/jira/browse/BEAM-10881
Project: Beam
Issue Type: Bug
Components: beam-community
Affects Versions: 2.23.0
Environment: spark-ruuner
Reporter: yws
Assignee: Aizhamal Nurmamat kyzy
*mycode:*
Read<byte[], byte[]> kafkaRead = KafkaIO.<byte[], byte[]> read()
.withBootstrapServers(brokers)
.withConsumerConfigUpdates(properties)
.withProcessingTime().withTopic(topic)
.withKeyDeserializer(ByteArrayDeserializer.class)
.withValueDeserializer(ByteArrayDeserializer.class);
*after running in spark-runner about 2hours it thows
ConcurrentModificationException: stacktrace is as follows*
java.util.ConcurrentModificationException at
java.util.ArrayList$Itr.checkForComodification([ArrayList.java:901|http://arraylist.java:901/])
at
java.util.ArrayList$[Itr.next|http://itr.next/]([ArrayList.java:851|http://arraylist.java:851/])
at
[org.apache.beam.vendor.guava.v26_0_jre.com.google|http://org.apache.beam.vendor.guava.v26_0_jre.com.google/].common.collect.Iterators$[2.next|http://2.next/]([Iterators.java:418|http://iterators.java:418/])
at
[org.apache.beam.sdk.io|http://org.apache.beam.sdk.io/].kafka.KafkaUnboundedReader.advance([KafkaUnboundedReader.java:150|http://kafkaunboundedreader.java:150/])
at
[org.apache.beam.runners.spark.io|http://org.apache.beam.runners.spark.io/].MicrobatchSource$Reader.advanceWithBackoff([MicrobatchSource.java:245|http://microbatchsource.java:245/])
at
[org.apache.beam.runners.spark.io|http://org.apache.beam.runners.spark.io/].MicrobatchSource$Reader.start([MicrobatchSource.java:223|http://microbatchsource.java:223/])
at
org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply([StateSpecFunctions.java:168|http://statespecfunctions.java:168/])
at
org.apache.beam.runners.spark.stateful.StateSpecFunctions$1.apply([StateSpecFunctions.java:107|http://statespecfunctions.java:107/])
at org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:181)
at org.apache.spark.streaming.StateSpec$$anonfun$1.apply(StateSpec.scala:180)
at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:57)
at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$$anonfun$updateRecordWithData$1.apply(MapWithStateRDD.scala:55)
at scala.collection.Iterator$class.foreach(Iterator.scala:891) at
scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at
org.apache.spark.streaming.rdd.MapWithStateRDDRecord$.updateRecordWithData(MapWithStateRDD.scala:55)
at
org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:159)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:337) at
org.apache.spark.rdd.RDD$$anonfun$7.apply(RDD.scala:335) at
[org.apache.spark.storage|http://org.apache.spark.storage/].BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1172)
at
[org.apache.spark.storage|http://org.apache.spark.storage/].BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:1163)
at
[org.apache.spark.storage|http://org.apache.spark.storage/].BlockManager.doPut(BlockManager.scala:1098)
at
[org.apache.spark.storage|http://org.apache.spark.storage/].BlockManager.doPutIterator(BlockManager.scala:1163)
at
[org.apache.spark.storage|http://org.apache.spark.storage/].BlockManager.getOrElseUpdate(BlockManager.scala:889)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:335) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:286) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324) at
org.apache.spark.rdd.RDD.iterator(RDD.scala:288) at
org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at
[org.apache.spark.scheduler.Task.run|http://org.apache.spark.scheduler.task.run/](Task.scala:121)
at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$11.apply(Executor.scala:442)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1386) at
org.apache.spark.executor.Executor$[TaskRunner.run|http://taskrunner.run/](Executor.scala:448)
at
java.util.concurrent.ThreadPoolExecutor.runWorker([ThreadPoolExecutor.java:1142|http://threadpoolexecutor.java:1142/])
at
java.util.concurrent.ThreadPoolExecutor$[Worker.run|http://worker.run/]([ThreadPoolExecutor.java:617|http://threadpoolexecutor.java:617/])
at
[java.lang.Thread.run|http://java.lang.thread.run/]([Thread.java:745|http://thread.java:745/])
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