How to tune unavoidable group by query?

[unk1102 <um...@gmail.com>]

Hi I have the following group by query which I tried to use it both using
DataFrame and hiveContext.sql() but both shuffles huge data and is slow. I
have around 8 fields passed in as group by fields

sourceFrame.select("blabla").groupby("col1","col2","col3",..."col8").agg("bla
bla");
OR
hiveContext.sql("insert into table partitions bla bla group by
"col1","col2","col3",..."col8"");

I have tried almost all tuning parameters like tungsten,lz4 shuffle, more
shuffle.storage around 6.0 I am using Spark 1.4.0 please guide thanks in
advance.



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