You could use updateStateByKey. There's a stateful word count example on Github.
https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/streaming/StatefulNetworkWordCount.scala ________________________________ From: Sandeep Giri<mailto:sand...@knowbigdata.com> Sent: 10/29/2015 6:08 PM To: user<mailto:user@spark.apache.org>; dev<mailto:d...@spark.apache.org> Subject: Maintaining overall cumulative data in Spark Streaming Dear All, If a continuous stream of text is coming in and you have to keep publishing the overall word count so far since 0:00 today, what would you do? Publishing the results for a window is easy but if we have to keep aggregating the results, how to go about it? I have tried to keep an StreamRDD with aggregated count and keep doing a fullouterjoin but didn't work. Seems like the StreamRDD gets reset. Kindly help. Regards, Sandeep Giri
