[jira] [Created] (SPARK-33792) NullPointerException in HDFSBackedStateStoreProvider

["Gabor Barna (Jira)" <ji...@apache.org>]

Gabor Barna created SPARK-33792:
-----------------------------------

             Summary: 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
            Reporter: Gabor Barna


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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org