[jira] [Created] (SPARK-13140) spark sql aggregate performance decrease

["spencerlee (JIRA)" <ji...@apache.org>]

spencerlee created SPARK-13140:
----------------------------------

             Summary: spark sql  aggregate performance decrease  
                 Key: SPARK-13140
                 URL: https://issues.apache.org/jira/browse/SPARK-13140
             Project: Spark
          Issue Type: Question
    Affects Versions: 1.6.0
            Reporter: spencerlee


In our scenario, their are 30 + key columns with 60+ metric columns.
our typical query is: select key1, key2, key3, key4, key5, sum(metric1), sum(metric2), sum(metric3).... sum(metric30) from table_name group by key1, key2, key3, key4, key5.
I import a single parquet file(60M, about 250w+ records) into sparksql , and do the typical query with local mode.  I found that, when I only aggregate 24 metrics, the response time is about 4.81s, when I aggregate 25+ metrics, the response time is 45.9s, which is almost 10 times slower. that's obviously unreasonable. 
Is this a bug or need modify some configuration to tune the query?    



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org