That sound right to me. Cheng could elaborate if you are missing something.
On Fri, Feb 13, 2015 at 11:36 AM, Manoj Samel manojsamelt...@gmail.com
wrote:
Thanks Michael for the pointer Sorry for the delayed reply.
Taking a quick inventory of scope of change - Is the column type for
Decimal
Hi Manoj,
Yes, you've already hit the point. I think timestamp type support in the
in-memory columnar support can be a good reference for you. Also, you may
want to enable compression support for decimal type by adding DECIMAL
column type to RunLengthEncoding.supports and
Thanks Michael for the pointer Sorry for the delayed reply.
Taking a quick inventory of scope of change - Is the column type for
Decimal caching needed only in the caching layer (4 files
in org.apache.spark.sql.columnar - ColumnAccessor.scala,
ColumnBuilder.scala, ColumnStats.scala,
