Details
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Bug
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Status: Resolved
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Major
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Resolution: Invalid
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2.3.0
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None
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None
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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
Description
We are getting this issue in production and Sparks consumer dying because of Off Set issue.
We observed the following error in Kafka Broker
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[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)
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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)