> So you'r saying, since these windows are part of a single SELECT
>projection they need to be serial?
Yes, with a full shuffle of the result so far for each new OVER().
> row_number() OVER( PARTITION BY app, user, type ORDER BY ts
>) as a_number,
> row_number() OVER( P
> The windowing is not simultaneous unless they are all over the same window
> - the following query has 3 different windows applied over the same rows
> sequentially.
Ok. Just wanted to confirm. Maybe I could restructure my query to get more
parallelism ..
> They are all over the same rows so th
> A lot of our queries do the following style of simultaneous windowing ..
The windowing is not simultaneous unless they are all over the same window
- the following query has 3 different windows applied over the same rows
sequentially.
> SELECT
>row_number() OVER( PARTITION BY app, user,
> t
Hello,
I'm trying to optimize some queries in Hive that were recently switched to
Tez.. had a general question regarding reducer parallelism ..
A lot of our queries do the following style of simultaneous windowing ..
SELECT
row_number() OVER( PARTITION BY app, user, type ORDER BY ts ) as
