You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2015/05/02 08:59:06 UTC
[jira] [Created] (SPARK-7320) Add rollup and cube support to
DataFrame DSL
Reynold Xin created SPARK-7320:
----------------------------------
Summary: Add rollup and cube support to DataFrame DSL
Key: SPARK-7320
URL: https://issues.apache.org/jira/browse/SPARK-7320
Project: Spark
Issue Type: Sub-task
Components: SQL
Reporter: Reynold Xin
We should add two functions to GroupedData in order to support rollup and cube for the DataFrame DSL.
def rollup(): GroupedData
def cube(): GroupedData
These two should return new GroupedData with the appropriate state set so when we run an Aggregate, we translate the underlying logical operator into Rollup or Cube.
--
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