[jira] [Commented] (CASSANDRA-4914) Aggregate functions in CQL

["Brian ONeill (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/CASSANDRA-4914?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13852132#comment-13852132 ] 

Brian ONeill commented on CASSANDRA-4914:
-----------------------------------------

Per:
http://www.mail-archive.com/user@cassandra.apache.org/msg33816.html

Is there any interest in extending this functionality to pre-compute aggregations?  Basically, enhance the metadata so users can declare which which aggregations they'll want on a table, and along which dimensions.  Then, maintain those aggregations in separate CFs as part of the flush/compaction processes (and extend CQL to allow them to be queried).

My feel is that should go under a separate issue. Honestly, I'm just trying to gauge interest for a low-level feature. (akin to secondary indexes)
If there is no interest, I'll just about my business and implement this at the app layer.  

> Aggregate functions in CQL
> --------------------------
>
>                 Key: CASSANDRA-4914
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-4914
>             Project: Cassandra
>          Issue Type: New Feature
>            Reporter: Vijay
>            Assignee: Vijay
>             Fix For: 2.1
>
>
> The requirement is to do aggregation of data in Cassandra (Wide row of column values of int, double, float etc).
> With some basic agree gate functions like AVG, SUM, Mean, Min, Max, etc (for the columns within a row).
> Example:
> SELECT * FROM emp WHERE empID IN (130) ORDER BY deptID DESC;                                    
>  empid | deptid | first_name | last_name | salary
> -------+--------+------------+-----------+--------
>    130 |      3 |     joe    |     doe   |   10.1
>    130 |      2 |     joe    |     doe   |    100
>    130 |      1 |     joe    |     doe   |  1e+03
>  
> SELECT sum(salary), empid FROM emp WHERE empID IN (130);                                    
>  sum(salary) | empid
> -------------+--------
>    1110.1    |  130



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