java.nio.channels.ClosedChannelException

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  • GitHub comment 30#75908086
    via GitHub by luck02
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  • Not able to produce message in kafka
    via Stack Overflow by Nilotpal
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  • Fail to export from voltdb to kafka
    via by Unknown author,
    • java.nio.channels.ClosedChannelException at kafka.network.BlockingChannel.send(BlockingChannel.scala:110) at kafka.producer.SyncProducer.liftedTree1$1(SyncProducer.scala:75) at kafka.producer.SyncProducer.kafka$producer$SyncProducer$$doSend(SyncProducer.scala:74) at kafka.producer.SyncProducer.send(SyncProducer.scala:119) at kafka.client.ClientUtils$.fetchTopicMetadata(ClientUtils.scala:59) at kafka.producer.BrokerPartitionInfo.updateInfo(BrokerPartitionInfo.scala:82) at kafka.producer.BrokerPartitionInfo.getBrokerPartitionInfo(BrokerPartitionInfo.scala:49) at kafka.producer.async.DefaultEventHandler.kafka$producer$async$DefaultEventHandler$$getPartitionListForTopic(DefaultEventHandler.scala:188) at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:152) at kafka.producer.async.DefaultEventHandler$$anonfun$partitionAndCollate$1.apply(DefaultEventHandler.scala:151) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at kafka.producer.async.DefaultEventHandler.partitionAndCollate(DefaultEventHandler.scala:151) at kafka.producer.async.DefaultEventHandler.dispatchSerializedData(DefaultEventHandler.scala:96) at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:73) at kafka.producer.Producer.send(Producer.scala:77) at kafka.javaapi.producer.Producer.send(Producer.scala:33) at org.css.java.gnipStreaming.GnipSparkStreamer$1$1.call(GnipSparkStreamer.java:59) at org.css.java.gnipStreaming.GnipSparkStreamer$1$1.call(GnipSparkStreamer.java:51) at org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:225) at org.apache.spark.api.java.JavaRDDLike$$anonfun$foreachPartition$1.apply(JavaRDDLike.scala:225) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$33.apply(RDD.scala:920) at org.apache.spark.rdd.RDD$$anonfun$foreachPartition$1$$anonfun$apply$33.apply(RDD.scala:920) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at org.apache.spark.scheduler.Task.run(Task.scala:89)

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