Hi all, In order to recover Accumulators (functionally) from a Driver failure, it is recommended to use it within a foreachRDD/transform and use the RDD context with a Singleton wrapping the Accumulator as shown in the examples <https://github.com/apache/spark/blob/branch-1.6/examples/src/main/scala/org/apache/spark/examples/streaming/RecoverableNetworkWordCount.scala#L123> .
I was wondering if there's a similar technique for DStream-only transformations, such as *updateStateByKey/mapWithState* ? Thanks, Amit