[SQL] Memory leak with spark streaming and spark sql in spark 1.5.1

[Terry Hoo]

All,

Does anyone meet memory leak issue with spark streaming and spark sql in
spark 1.5.1? I can see the memory is increasing all the time when running
this simple sample:

        val sc = new SparkContext(conf)
        val sqlContext = new HiveContext(sc)
        import sqlContext.implicits._
        val ssc = new StreamingContext(sc, Seconds(1))
        val s1 = ssc.socketTextStream("localhost", 9999).map(x =>
(x,1)).reduceByKey((x : Int, y : Int) => x + y)
        s1.print
        s1.foreachRDD(rdd => {
          rdd.foreach(_ => Unit)
          sqlContext.createDataFrame(rdd).registerTempTable("A")
          sqlContext.sql("""select * from A""").show(1)
        })

After dump the the java heap, I can see there is about 22K entries
in SQLListener._stageIdToStageMetrics after 2 hour running (other maps in
this SQLListener has about 1K entries), is this a leak in SQLListener?

Thanks!
Terry