kafka offset 过期处理策略
现象：
User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 0.0 failed 4 times, most recent failure: Lost task 2.3 in stage 0.0 (TID 29, kafka2, executor 2): org.apache.kafka.clients.consumer.OffsetOutOfRangeException: Offsets out of range with no configured reset policy for partitions: {xxx_topic-3=2305398463}
at org.apache.kafka.clients.consumer.internals.Fetcher.parseCompletedFetch(Fetcher.java:970)
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:490)
at org.apache.kafka.clients.consumer.KafkaConsumer.pollForFetches(KafkaConsumer.java:1259)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1187)
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1115)
at org.apache.spark.streaming.kafka010.InternalKafkaConsumer.poll(KafkaDataConsumer.scala:200)
at org.apache.spark.streaming.kafka010.InternalKafkaConsumer.get(KafkaDataConsumer.scala:129)
at org.apache.spark.streaming.kafka010.KafkaDataConsumer$class.get(KafkaDataConsumer.scala:36)
at org.apache.spark.streaming.kafka010.KafkaDataConsumer$NonCachedKafkaDataConsumer.get(KafkaDataConsumer.scala:218)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:261)
at org.apache.spark.streaming.kafka010.KafkaRDDIterator.next(KafkaRDD.scala:229)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:462)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
原因：
消费太慢导致topic里面的数据挤压，太多导致topic中的数据已经过期，但是groupid绑定的offset已久是已经过期的数据offset导致 Offsets out of range 。
处理策略
掰正Groupid，绑定Topic的 offset，保证offset可用，同时在上游spark-streaming任务开启背压优化。
./bin/kafka-consumer-groups.sh --bootstrap-server xxx.host --group tf-user-new-tag2 --topic xxx_topic --execute --reset-offsets --to-earliest
