Hi I am using Spark SQL actually hiveContext.sql() which uses group by queries and I am running into OOM issues. So thinking of increasing value of spark.sql.shuffle.partition from 200 default to 1000 but it is not helping. Please correct me if I am wrong this partitions will share data shuffle load so more the partitions less data to hold. Please guide I am new to Spark. I am using Spark 1.4.0 and I have around 1TB of uncompressed data to process using hiveContext.sql() group by queries.
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