#1 see
https://spark.apache.org/docs/latest/streaming-programming-guide.html#level-of-parallelism-in-data-receiving
#2 By default, all input data and persisted RDDs generated by DStream
transformations are automatically cleared. Spark Streaming decides when to
clear the data based on the transform
1 - How to increase the level of *parallelism in spark streaming custom
RECEIVER* .
2 - Will ssc.receiverstream(/**anything //) will *delete the data
stored in spark memory using store(s) * logic .
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Thanks & Regards,
Anshu Shukla
