orc vs parquet aggregation, orc is really slow

[Maurin Lenglart]

Hi,
I am executing one query :
“SELECT `event_date` as `event_date`,sum(`bookings`) as 
`bookings`,sum(`dealviews`) as `dealviews` FROM myTable WHERE  `event_date` >= 
'2016-01-06' AND `event_date` <= '2016-04-02' GROUP BY `event_date` LIMIT 20000”

My table was created something like :
  CREATE TABLE myTable (
  bookings            DOUBLE
  , deal views          INT
  )
   STORED AS ORC or PARQUET
     PARTITION BY (event_date STRING)

PARQUET take 9second of cumulative CPU
ORC take 50second of cumulative CPU.

For ORC I have tried to 
hiveContext.setConf(“Spark.Sql.Orc.FilterPushdown”,“true”)
But it didn’t change anything

I am missing something, or parquet is better for this type of query?

I am using spark 1.6.0 with hive 1.1.0

thanks