On trying the consumer without external connections or with low number of external conections its working fine -
so doubt is how socket got closed - java.io.EOFException: Received -1 when reading from channel, socket has likely been closed. On Sat, Aug 22, 2015 at 7:24 PM, Akhil Das <ak...@sigmoidanalytics.com> wrote: > 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 >>>>>> >>>>>> >>>>> >>> >>
