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I am currently trying to parallelize reading multiple tables from Hive . As part of an archival framework, i need to convert few hundred tables which are in txt format to Parquet. For now i am calling a Spark SQL inside a for loop for conversion. But this execute sequential and entire process takes longer time to finish.
I tired submitting 4 different Spark jobs ( each having set of tables to be converted), it did give me some parallelism , but i would like to do this in single Spark job due to few limitation of our cluster and process