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From Reynold Xin <r...@databricks.com>
Subject Re: Fw:multiple group by action
Date Sat, 25 Aug 2018 03:15:17 GMT
Use rollout and cube.

On Fri, Aug 24, 2018 at 7:55 PM 崔苗 <cuimiao@danale.com> wrote:

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> -------- Forwarding messages --------
> From: "崔苗" <cuimiao@danale.com>
> Date: 2018-08-25 10:54:31
> To: dev@spark.apache.org
> Subject: multiple group by action
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> Hi,
> we have some user data with
> columns(userId,company,client,country,region,city),
> now we want to count userId by multiple column,such as :
> select count(distinct userId) group by company
> select count(distinct userId) group by company,client
> select count(distinct userId) group by company,client,country
> select count(distinct userId) group by company,client,country,region
> etc
> so each action will bring a shuffle stage, as for columns( company,client)
> contain column company,
> Is there a way to reduce shuffle stage?
>
> Thanks for any replys
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