I don’t think so Sean. > On Feb 5, 2015, at 16:57, Sean Owen <so...@cloudera.com> wrote: > > 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
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