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https://issues.apache.org/jira/browse/SPARK-33792?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17267972#comment-17267972
]
Gabor Barna commented on SPARK-33792:
-------------------------------------
Another flavor of probably the same issue
{code:java}
Caused by: java.lang.NullPointerException
at
java.util.concurrent.ConcurrentHashMap.putVal(ConcurrentHashMap.java:1011)
at
java.util.concurrent.ConcurrentHashMap.putAll(ConcurrentHashMap.java:1084)
at
org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider.getStore(HDFSBackedStateStoreProvider.scala:204)
at
org.apache.spark.sql.execution.streaming.state.StateStore$.get(StateStore.scala:371)
at
org.apache.spark.sql.execution.streaming.state.StateStoreRDD.compute(StateStoreRDD.scala:88)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748) {code}
> NullPointerException in HDFSBackedStateStoreProvider
> ----------------------------------------------------
>
> Key: SPARK-33792
> URL: https://issues.apache.org/jira/browse/SPARK-33792
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.4.4
> Environment: emr-5.28.0
> Reporter: Gabor Barna
> Priority: Major
>
> Hi,
> We are getting NPEs with spark structured streaming from time-to-time. Here's
> the stacktrace:
> {code:java}
> java.lang.NullPointerException
> at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore$$anonfun$iterator$1.apply(HDFSBackedStateStoreProvider.scala:164)
> at
> org.apache.spark.sql.execution.streaming.state.HDFSBackedStateStoreProvider$HDFSBackedStateStore$$anonfun$iterator$1.apply(HDFSBackedStateStoreProvider.scala:163)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:410)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:463)
> at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
> at scala.collection.Iterator$JoinIterator.hasNext(Iterator.scala:220)
> at
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:31)
> at
> org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage3.processNext(Unknown
> Source)
> at
> org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at
> org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at
> org.apache.spark.sql.kinesis.KinesisWriteTask.execute(KinesisWriteTask.scala:50)
> at
> org.apache.spark.sql.kinesis.KinesisWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply$mcV$sp(KinesisWriter.scala:40)
> at
> org.apache.spark.sql.kinesis.KinesisWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply(KinesisWriter.scala:40)
> at
> org.apache.spark.sql.kinesis.KinesisWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$1.apply(KinesisWriter.scala:40)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at
> org.apache.spark.sql.kinesis.KinesisWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(KinesisWriter.scala:40)
> at
> org.apache.spark.sql.kinesis.KinesisWriter$$anonfun$write$1$$anonfun$apply$mcV$sp$1.apply(KinesisWriter.scala:38)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at
> org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$28.apply(RDD.scala:935)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
> at org.apache.spark.scheduler.Task.run(Task.scala:123)
> at
> org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748) {code}
> As you can see we are using [https://github.com/qubole/kinesis-sql/] for
> writing the kinesis queue, the state backend is HDFS.
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