[jira] [Created] (SPARK-10772) NullPointerException when transform function in DStream returns NULL

["Jack Hu (JIRA)" <ji...@apache.org>]

Jack Hu created SPARK-10772:
-------------------------------

             Summary: 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: 1.5.0, 1.4.1
            Reporter: Jack Hu
            Priority: Minor


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}



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