+dev list
On Wed, Oct 14, 2015 at 1:07 AM, Terry Hoo <hujie.ea...@gmail.com> wrote:
> 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
>
