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From Tin Vu <tvu...@ucr.edu>
Subject [SparkSQL] SparkSQL performance on small TPCDS tables is very low when compared to Drill or Presto
Date Thu, 29 Mar 2018 00:03:59 GMT
Hi,

I am executing a benchmark to compare performance of SparkSQL, Apache Drill
and Presto. My experimental setup:

   - TPCDS dataset with scale factor 100 (size 100GB).
   - Spark, Drill, Presto have a same number of workers: 12.
   - Each worked has same allocated amount of memory: 4GB.
   - Data is stored by Hive with ORC format.

I executed a very simple SQL query: "SELECT * from table_name"
The issue is that for some small size tables (even table with few dozen of
records), SparkSQL still required about 7-8 seconds to finish, while Drill
and Presto only needed less than 1 second.
For other large tables with billions records, SparkSQL performance was
reasonable when it required 20-30 seconds to scan the whole table.
Do you have any idea or reasonable explanation for this issue?

Thanks,

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