Is there any case to prefer RDD instead of DataFrame/Dataset/SparkSQLin Spark 2.3.0 or later?
AFAIK, using DataFrame/Dataset/SparkSQL has a lot of merits. For example, simpler coding and Optimization by Catalyst.
If there's some concrete example that should be written with RDD, let me know!
Thanks,