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https://issues.apache.org/jira/browse/SPARK-19976?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15966208#comment-15966208
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Cody Koeninger commented on SPARK-19976:
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What would your expected behavior be when you delete data out of kafka before
the stream has read it?
My expectation would be that it fails.
> DirectStream API throws OffsetOutOfRange Exception
> --------------------------------------------------
>
> Key: SPARK-19976
> URL: https://issues.apache.org/jira/browse/SPARK-19976
> Project: Spark
> Issue Type: Bug
> Components: DStreams
> Affects Versions: 2.0.0
> Reporter: Taukir
>
> I am using following code. While data on kafka topic get deleted/retention
> period is over, it throws Exception and application crash
> def functionToCreateContext(sc:SparkContext):StreamingContext = {
> val kafkaParams = new mutable.HashMap[String, Object]()
> kafkaParams.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaBrokers)
> kafkaParams.put(ConsumerConfig.GROUP_ID_CONFIG, KafkaConsumerGrp)
> kafkaParams.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG,
> classOf[StringDeserializer])
> kafkaParams.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG,
> classOf[StringDeserializer])
> kafkaParams.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,"true")
> kafkaParams.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
> val consumerStrategy = ConsumerStrategies.Subscribe[String,
> String](topic.split(",").map(_.trim).filter(!_.isEmpty).toSet, kafkaParams)
> val kafkaStream =
> KafkaUtils.createDirectStream(ssc,LocationStrategies.PreferConsistent,consumerStrategy)
> }
> spark throws error and crash once OffsetOutOf RangeException is thrown
> WARN scheduler.TaskSetManager: Lost task 1.0 in stage 0.0 :
> org.apache.kafka.clients.consumer.OffsetOutOfRangeException: Offsets out of
> range with no configured reset policy for partitions: {test-2=127287}
> at
> org.apache.kafka.clients.consumer.internals.Fetcher.parseFetchedData(Fetcher.java:588)
> at
> org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:354)
> at
> org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1000)
> at
> org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:938)
> at
> org.apache.spark.streaming.kafka010.CachedKafkaConsumer.poll(CachedKafkaConsumer.scala:98)
> at
> org.apache.spark.streaming.kafka010.CachedKafkaConsumer.get(CachedKafkaConsumer.scala:69)
> at
> org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:227)
> at
> org.apache.spark.streaming.kafka010.KafkaRDD$KafkaRDDIterator.next(KafkaRDD.scala:193)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
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