Is SPARK-4905 / https://github.com/apache/spark/pull/4371/files the same issue?
On Thu, Feb 5, 2015 at 7:03 AM, Eduardo Costa Alfaia <e.costaalf...@unibs.it> wrote: > Hi Guys, > I’m getting this error in KafkaWordCount; > > TaskSetManager: Lost task 0.0 in stage 4095.0 (TID 1281, 10.20.10.234): > java.lang.ClassCastException: [B cannot be cast to java.lang.String > at > org.apache.spark.examples.streaming.KafkaWordCount$$anonfun$4$$anonfun$apply$1.apply(KafkaWordCount.scala:7 > > > Some idea that could be? > > > Bellow the piece of code > > > > val kafkaStream = { > val kafkaParams = Map[String, String]( > "zookeeper.connect" -> "achab3:2181", > "group.id" -> "mygroup", > "zookeeper.connect.timeout.ms" -> "10000", > "kafka.fetch.message.max.bytes" -> "4000000", > "auto.offset.reset" -> "largest") > > val topicpMap = topics.split(",").map((_,numThreads.toInt)).toMap > // val lines = KafkaUtils.createStream[String, String, DefaultDecoder, > DefaultDecoder](ssc, kafkaParams, topicpMa > p, storageLevel = StorageLevel.MEMORY_ONLY_SER).map(_._2) > val KafkaDStreams = (1 to numStreams).map {_ => > KafkaUtils.createStream[String, String, DefaultDecoder, > DefaultDecoder](ssc, kafkaParams, topicpMap, storageLe > vel = StorageLevel.MEMORY_ONLY_SER).map(_._2) > } > val unifiedStream = ssc.union(KafkaDStreams) > unifiedStream.repartition(sparkProcessingParallelism) > } > > Thanks Guys > > Informativa sulla Privacy: http://www.unibs.it/node/8155 --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org