Can you try some other consumer and see if the issue still exists? On Aug 22, 2015 12:47 AM, "Shushant Arora" <shushantaror...@gmail.com> wrote:
> Exception comes when client has so many connections to some another > external server also. > So I think Exception is coming because of client side issue only- server > side there is no issue. > > > Want to understand is executor(simple consumer) not making new connection > to kafka broker at start of each task ? Or is it created once only and that > is getting closed somehow ? > > On Sat, Aug 22, 2015 at 9:41 AM, Shushant Arora <shushantaror...@gmail.com > > wrote: > >> it comes at start of each tasks when there is new data inserted in >> kafka.( data inserted is very few) >> kafka topic has 300 partitions - data inserted is ~10 MB. >> >> Tasks gets failed and it retries which succeed and after certain no of >> fail tasks it kills the job. >> >> >> >> >> On Sat, Aug 22, 2015 at 2:08 AM, Akhil Das <ak...@sigmoidanalytics.com> >> wrote: >> >>> That looks like you are choking your kafka machine. Do a top on the >>> kafka machines and see the workload, it may happen that you are spending >>> too much time on disk io etc. >>> On Aug 21, 2015 7:32 AM, "Cody Koeninger" <c...@koeninger.org> wrote: >>> >>>> Sounds like that's happening consistently, not an occasional network >>>> problem? >>>> >>>> Look at the Kafka broker logs >>>> >>>> Make sure you've configured the correct kafka broker hosts / ports >>>> (note that direct stream does not use zookeeper host / port). >>>> >>>> Make sure that host / port is reachable from your driver and worker >>>> nodes, ie telnet or netcat to it. It looks like your driver can reach it >>>> (since there's partition info in the logs), but that doesn't mean the >>>> worker can. >>>> >>>> Use lsof / netstat to see what's going on with those ports while the >>>> job is running, or tcpdump if you need to. >>>> >>>> If you can't figure out what's going on from a networking point of >>>> view, post a minimal reproducible code sample that demonstrates the issue, >>>> so it can be tested in a different environment. >>>> >>>> >>>> >>>> >>>> >>>> On Fri, Aug 21, 2015 at 4:06 AM, Shushant Arora < >>>> shushantaror...@gmail.com> wrote: >>>> >>>>> Hi >>>>> >>>>> >>>>> Getting below error in spark streaming 1.3 while consuming from kafka >>>>> using directkafka stream. Few of tasks are getting failed in each run. >>>>> >>>>> >>>>> What is the reason /solution of this error? >>>>> >>>>> >>>>> 15/08/21 08:54:54 ERROR executor.Executor: Exception in task 262.0 in >>>>> stage 130.0 (TID 16332) >>>>> java.io.EOFException: Received -1 when reading from channel, socket has >>>>> likely been closed. >>>>> at kafka.utils.Utils$.read(Utils.scala:376) >>>>> at >>>>> kafka.network.BoundedByteBufferReceive.readFrom(BoundedByteBufferReceive.scala:54) >>>>> at kafka.network.Receive$class.readCompletely(Transmission.scala:56) >>>>> at >>>>> kafka.network.BoundedByteBufferReceive.readCompletely(BoundedByteBufferReceive.scala:29) >>>>> at kafka.network.BlockingChannel.receive(BlockingChannel.scala:100) >>>>> at kafka.consumer.SimpleConsumer.liftedTree1$1(SimpleConsumer.scala:81) >>>>> at >>>>> kafka.consumer.SimpleConsumer.kafka$consumer$SimpleConsumer$$sendRequest(SimpleConsumer.scala:71) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(SimpleConsumer.scala:109) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:109) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1$$anonfun$apply$mcV$sp$1.apply(SimpleConsumer.scala:109) >>>>> at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply$mcV$sp(SimpleConsumer.scala:108) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:108) >>>>> at >>>>> kafka.consumer.SimpleConsumer$$anonfun$fetch$1.apply(SimpleConsumer.scala:108) >>>>> at kafka.metrics.KafkaTimer.time(KafkaTimer.scala:33) >>>>> at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:107) >>>>> at >>>>> org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:150) >>>>> at >>>>> org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:162) >>>>> at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:71) >>>>> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) >>>>> at >>>>> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:210) >>>>> at >>>>> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63) >>>>> at >>>>> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68) >>>>> at >>>>> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) >>>>> at org.apache.spark.scheduler.Task.run(Task.scala:64) >>>>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203) >>>>> at >>>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>>>> at >>>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>>>> at java.lang.Thread.run(Thread.java:745) >>>>> 15/08/21 08:54:54 INFO executor.CoarseGrainedExecutorBackend: Got >>>>> assigned task 16348 >>>>> 15/08/21 08:54:54 INFO executor.Executor: Running task 260.1 in stage >>>>> 130.0 (TID 16348) >>>>> 15/08/21 08:54:54 INFO kafka.KafkaRDD: Computing topic >>>>> test_hbrealtimeevents, partition 75 offsets 4701 -> 4718 >>>>> 15/08/21 08:54:54 INFO utils.VerifiableProperties: Verifying properties >>>>> >>>>> >>>>> >>>>> >>>>> Thanks >>>>> >>>>> >>>> >> >
