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 >>>> >>>> >>> >
