What code is triggering the stack overflow?
On Mon, Feb 29, 2016 at 11:13 PM, Vinti Maheshwari <vinti.u...@gmail.com>
wrote:
> Hi All,
>
> I am getting below error in spark-streaming application, i am using kafka
> for input stream. When i was doing with socket, it was working fine. But
> when i changed to kafka it's giving error. Anyone has idea why it's
> throwing error, do i need to change my batch time and check pointing time?
>
>
>
> *ERROR StreamingContext: Error starting the context, marking it as
> stoppedjava.lang.StackOverflowError*
>
> My program:
>
> def main(args: Array[String]): Unit = {
>
> // Function to create and setup a new StreamingContext
> def functionToCreateContext(): StreamingContext = {
> val conf = new SparkConf().setAppName("HBaseStream")
> val sc = new SparkContext(conf)
> // create a StreamingContext, the main entry point for all streaming
> functionality
> val ssc = new StreamingContext(sc, Seconds(5))
> val brokers = args(0)
> val topics= args(1)
> val topicsSet = topics.split(",").toSet
> val kafkaParams = Map[String, String]("metadata.broker.list" -> brokers)
> val messages = KafkaUtils.createDirectStream[String, String,
> StringDecoder, StringDecoder](
> ssc, kafkaParams, topicsSet)
>
> val inputStream = messages.map(_._2)
> // val inputStream = ssc.socketTextStream(args(0), args(1).toInt)
> ssc.checkpoint(checkpointDirectory)
> inputStream.print(1)
> val parsedStream = inputStream
> .map(line => {
> val splitLines = line.split(",")
> (splitLines(1), splitLines.slice(2,
> splitLines.length).map((_.trim.toLong)))
> })
> import breeze.linalg.{DenseVector => BDV}
> import scala.util.Try
>
> val state: DStream[(String, Array[Long])] =
> parsedStream.updateStateByKey(
> (current: Seq[Array[Long]], prev: Option[Array[Long]]) => {
> prev.map(_ +: current).orElse(Some(current))
> .flatMap(as => Try(as.map(BDV(_)).reduce(_ + _).toArray).toOption)
> })
>
> state.checkpoint(Duration(10000))
> state.foreachRDD(rdd => rdd.foreach(Blaher.blah))
> ssc
> }
> // Get StreamingContext from checkpoint data or create a new one
> val context = StreamingContext.getOrCreate(checkpointDirectory,
> functionToCreateContext _)
> }
> }
>
> Regards,
> ~Vinti
>
