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https://issues.apache.org/jira/browse/SPARK-27196?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17224470#comment-17224470
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Yu Wang commented on SPARK-27196:
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https://issues.apache.org/jira/browse/KAFKA-8124
> Beginning offset 115204574 is after the ending offset 115204516 for topic
> --------------------------------------------------------------------------
>
> Key: SPARK-27196
> URL: https://issues.apache.org/jira/browse/SPARK-27196
> Project: Spark
> Issue Type: Bug
> Components: Spark Submit
> Affects Versions: 2.3.0
> Environment: Spark : 2.3.0
> Sparks Kafka: spark-streaming-kafka-0-10_2.3.0
> Kafka Client: org.apache.kafka.kafka-clients: 0.11.0.1
> Reporter: Prasanna Talakanti
> 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
> ------------------------------------------------------------------
> [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)
> -----------------------------------------------------------------------------------
>
> 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)
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