[SPARK-33792] NullPointerException in HDFSBackedStateStoreProvider

• Type: Bug
• Status: Open
• Priority: Major
• Resolution: Unresolved
• Affects Version/s: 2.4.4
• Component/s: Structured Streaming

Environment

emr-5.28.0

• Assignee: Unassigned
• Reporter: Gabor Barna
• Created: 15/Dec/20 13:15
• Updated: 19/Jan/21 20:32

Description

Hi,

We are getting NPEs with spark structured streaming from time-to-time. Here's the stacktrace:

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) 

As you can see we are using https://github.com/qubole/kinesis-sql/ for writing the kinesis queue, the state backend is HDFS.