Hi
I have an RDD with elements as tuple ((key1,key2),value) where (key1,key2)
is the partitioning key in my Cassandra table
Now for each such element I have to do a read from Cassandra table. My
Cassandra table and spark cluster are in different nodes and cant be
co-located.
Right now I am doing individual query using session.execute("...").* Should
I prefer joinWithCassandraTable over individual queries? Do I get some
performance benefit?*
As i understand joinWithCassandraTable is ultimately going to perform
queries for each partitioningKey(or primary key not sure).
Regards
Vaibhav
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