what is exact difference between Spark Transform in DStream and map.?

Question

I am trying to understand transform on Spark DStream in Spark Streaming.

I knew that transform in much superlative compared to map, but Can some one give me some real time example or clear example that can differentiate transform and map.?

Answer 1

The transform function in Spark streaming allows one to use any of Apache Spark's transformations on the underlying RDDs for the stream. map is used for an element to element transform, and could be implemented using transform. Essentially, map works on the elements of the DStream and transform allows you to work with the RDDs of the DStream. You may find http://spark.apache.org/docs/latest/streaming-programming-guide.html#transformations-on-dstreams to be useful.