As a follow up to my own question, I see that the FlumeBatchFetcher <https://github.com/apache/spark/blob/master/external/flume/src/main/scala/org/apache/spark/streaming/flume/FlumeBatchFetcher.scala> ack's the batch only after it calls Receiver.store(...).
So my question is: does store() guarantees that that after the call returns, that the data is replicated across the Spark cluster? i.e. is it safe to ack received data after calling store()? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Ack-RabbitMQ-messages-after-processing-through-Spark-Streaming-tp15348p15401.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
