[ 
https://issues.apache.org/jira/browse/SPARK-10772?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen updated SPARK-10772:
------------------------------
    Assignee: Jack Hu

> NullPointerException when transform function in DStream returns NULL 
> ---------------------------------------------------------------------
>
>                 Key: SPARK-10772
>                 URL: https://issues.apache.org/jira/browse/SPARK-10772
>             Project: Spark
>          Issue Type: Bug
>          Components: Streaming
>    Affects Versions: 1.4.1, 1.5.0
>            Reporter: Jack Hu
>            Assignee: Jack Hu
>            Priority: Minor
>             Fix For: 1.6.0
>
>
> NullPointerException raises when transform function returns NULL:
> {quote}
> java.lang.NullPointerException
>       at 
> org.apache.spark.streaming.dstream.DStream$$anonfun$clearMetadata$3.apply(DStream.scala:442)
>       at 
> org.apache.spark.streaming.dstream.DStream$$anonfun$clearMetadata$3.apply(DStream.scala:441)
>       at 
> scala.collection.mutable.HashMap$$anon$2$$anonfun$foreach$3.apply(HashMap.scala:107)
>       at 
> scala.collection.mutable.HashMap$$anon$2$$anonfun$foreach$3.apply(HashMap.scala:107)
>       at 
> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
>       at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
>       at scala.collection.mutable.HashMap$$anon$2.foreach(HashMap.scala:107)
>       at 
> org.apache.spark.streaming.dstream.DStream.clearMetadata(DStream.scala:441)
>       at 
> org.apache.spark.streaming.dstream.DStream$$anonfun$clearMetadata$5.apply(DStream.scala:454)
>       at 
> org.apache.spark.streaming.dstream.DStream$$anonfun$clearMetadata$5.apply(DStream.scala:454)
>       at scala.collection.immutable.List.foreach(List.scala:318)
>       at 
> org.apache.spark.streaming.dstream.DStream.clearMetadata(DStream.scala:454)
>       at 
> org.apache.spark.streaming.DStreamGraph$$anonfun$clearMetadata$2.apply(DStreamGraph.scala:129)
>       at 
> org.apache.spark.streaming.DStreamGraph$$anonfun$clearMetadata$2.apply(DStreamGraph.scala:129)
>       at 
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>       at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>       at 
> org.apache.spark.streaming.DStreamGraph.clearMetadata(DStreamGraph.scala:129)
>       at 
> org.apache.spark.streaming.scheduler.JobGenerator.clearMetadata(JobGenerator.scala:257)
>       at 
> org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:178)
>       at 
> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:83)
>       at 
> org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:82)
>       at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> {quote}
> The code is very simple: 
> {code}
>         val sc = new SparkContext(conf)
>         val sqlContext = new HiveContext(sc)
>         import sqlContext.implicits._
>         println(">>> create streamingContext.")
>         val ssc = new StreamingContext(sc, Seconds(1))
>         ssc.queueStream(
>             Queue(
>                 sc.makeRDD(Seq(1)), 
>                 sc.makeRDD(Seq[Int]()), 
>                 sc.makeRDD(Seq(2))
>                 ), true).transform(rdd => if (rdd.isEmpty()) rdd else 
> null).print
>         ssc.start()
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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

Reply via email to