I have watched a few videos from Databricks/Andrew Or around the Spark 1.2 release and it seemed that dynamic allocation was not yet available for Spark Streaming.
I now see SPARK-10955 <https://issues.apache.org/jira/browse/SPARK-10955> which is tied to 1.5.2 and allows disabling of Spark Streaming with dynamic allocation. I use Spark Streaming with a receiverless/direct Kafka connection. When I start up an app reading from the beginning of the topic I would like to have more resources than once I have caught up. Is it possible to use dynamic allocation for this use case? thanks, Robert
