I'm using Spark(2.1.1) streaming as Consumer for Kakfa messages. I've a data pipeline where I continuously (hourly) save offsets to HBase. So that I can replay stream from certain offset in case of errors in data transformations.
I'm able to start the stream at a certain offset, but don't know of a way to stop the stream after I reach the end offset. I'm using the following API: Map<TopicPartition, Long> replayOffset = new HashMap<>(); replayOffsets.put(new TopicPartition(topicPrefix, 0), offsets[0]); List<TopicPartition> topicPartitionList = new ArrayList<>(); topicPartitionList.add(new TopicPartition(topicPrefix, 0)); JavaInputDStream<ConsumerRecord<String, String>> messages = KafkaUtils.createDirectStream( jssc, LocationStrategies.PreferConsistent(), ConsumerStrategies.<String, String>Assign(topicPartitionList, kafkaParams, replayOffset) ); I would like to know if there is an API or a solution for this use case. Thanks, -Ranjit -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-replay-stream-between-2-offsets-tp28685.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe e-mail: user-unsubscr...@spark.apache.org