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Posted to jira@kafka.apache.org by "Priyanka Singh (Jira)" <ji...@apache.org> on 2020/04/03 16:08:00 UTC
[jira] [Commented] (KAFKA-8124) Beginning offset is after the
ending offset for topic partition
[ https://issues.apache.org/jira/browse/KAFKA-8124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17074693#comment-17074693 ]
Priyanka Singh commented on KAFKA-8124:
---------------------------------------
Hi, I am facing the same issue. Is it resolved?
> Beginning offset is after the ending offset for topic partition
> ---------------------------------------------------------------
>
> Key: KAFKA-8124
> URL: https://issues.apache.org/jira/browse/KAFKA-8124
> Project: Kafka
> Issue Type: Bug
> Components: consumer
> Affects Versions: 1.1.0
> Environment: OS : Rhel 7
> server : VM
> Reporter: suseendramani
> Priority: Major
>
>
> We are getting this issue in production and Sparks consumer dying because of Off Set issue.
> We observed the following error in Kafka Broker ( that has problems)
> ------------------------------------------------------------------
> [2019-03-18 14:40:14,100] WARN Unable to reconnect to ZooKeeper service, session 0x1692e9ff4410004 has expired (org.apache.zookeeper.ClientCnxn)
> [2019-03-18 14:40:14,100] INFO Unable to reconnect to ZooKeeper service, session 0x1692e9ff4410004 has expired, closing socket connection (org.apache.zook
> eeper.ClientCnxn)
> -----------------------------------------------------------------------------------
> Error from other broker when talking to the problematic broker.
> [2019-03-18 14:40:14,107] INFO [ReplicaFetcher replicaId=3, leaderId=5, fetcherId=0] Error sending fetch request (sessionId=2127346653, epoch=27048427) to
> node 5: java.nio.channels.ClosedSelectorException. (org.apache.kafka.clients.FetchSessionHandler)
>
> ----------------------------------------------------------------------------------------------------------------
>
> All topics were having replication factor of 3 and this issue happens when one of the broker was having issues. We are using SCRAM authentication (SHA-256) and SSL.
>
> Sparks Job died with the following error:
> ERROR 2019-03-18 07:40:57,178 7924 org.apache.spark.executor.Executor [Executor task launch worker for task 16] Exception in task 27.0 in stage 0.0 (TID 16)
> java.lang.AssertionError: assertion failed: Beginning offset 115204574 is after the ending offset 115204516 for topic <topic_name> partition 37. You either provided an invalid fromOffset, or the Kafka topic has been damaged
> at scala.Predef$.assert(Predef.scala:170)
> at org.apache.spark.streaming.kafka010.KafkaRDD.compute(KafkaRDD.scala:175)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:324)
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:288)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
> at org.apache.spark.scheduler.Task.run(Task.scala:109)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
>
> -----------------------------------------------------------
>
> please let me know if you need more details.
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