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Posted to dev@bigtop.apache.org by "jay vyas (JIRA)" <ji...@apache.org> on 2015/02/05 05:17:35 UTC

[jira] [Comment Edited] (BIGTOP-1536) BPS Spark : Unit test upgrade + Basic Sales Analytics Example.

    [ https://issues.apache.org/jira/browse/BIGTOP-1536?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14306606#comment-14306606 ] 

jay vyas edited comment on BIGTOP-1536 at 2/5/15 4:17 AM:
----------------------------------------------------------

No clue  :) ... Right now Statistics (String,String) is just a stub for representing the fact that we have a "statistics" object in the datamodel.  I was thinking that when we actually add non trivial stats, the  *first string* could be metadata/primary key for the BPS dates/run, and the *second* string can just be a json that summarizes all the statistics which we calculate.  

As you can see, right now, im not unit testing the contents of the string,string tuple... so its completely wide open.  


was (Author: jayunit100):
No clue  :) ... Right now Statistics (String,String) is just a stub for representing the fact that we have a "statistics" object in the datamodel.  I was thinking the *first string* could be metadata/primary key for the BPS dates/run, and the *second* string can just be a json that summarizes all the statistics which we calculate.  

> BPS Spark : Unit test upgrade + Basic Sales Analytics Example.
> --------------------------------------------------------------
>
>                 Key: BIGTOP-1536
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-1536
>             Project: Bigtop
>          Issue Type: Improvement
>          Components: blueprints
>            Reporter: RJ Nowling
>            Assignee: RJ Nowling
>         Attachments: BIGTOP-1536.patch, BIGTOP-1536.patch, BIGTOP-1536.patch, firstpass.patch, spark_driver_output.patch
>
>
> Using the Spark data generator and ETL script (BIGTOP-1535), add a simple Spark sales analytics example that computes basic stats such as:
> * Number of sales per category per month or quarter
> * Top selling items in each category per month or quarter



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