It is my understanding that there is no way to make FlumeInputDStream work in a cluster environment with the current release. Switch to Kafka, if you can, would be my suggestion, although I have not used KafkaInputDStream. There is a big difference between Kafka and Flume InputDstream: KafkaInputDStreams are consumers (clients). FlumeInputDStream, which needs to listen on a specific address:port so other flume agent can send messages to. This may also give Kafka an advantage on performance too.
-- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-use-FlumeInputDStream-in-spark-cluster-tp1604p2994.html Sent from the Apache Spark User List mailing list archive at Nabble.com.