[jira] [Assigned] (BEAM-9198) BeamSQL aggregation analytics functionality

["Rui Wang (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-9198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Rui Wang reassigned BEAM-9198:
------------------------------

    Assignee: John Mora

> BeamSQL aggregation analytics functionality 
> --------------------------------------------
>
>                 Key: BEAM-9198
>                 URL: https://issues.apache.org/jira/browse/BEAM-9198
>             Project: Beam
>          Issue Type: New Feature
>          Components: dsl-sql
>            Reporter: Rui Wang
>            Assignee: John Mora
>            Priority: Major
>              Labels: gsoc, gsoc2020, mentor
>
> Mentor email: ruwang@google.com. Feel free to send emails for your questions.
> Project Information
> ---------------------
> BeamSQL has a long list of of aggregation/aggregation analytics functionalities to support. 
> To begin with, you will need to support this syntax:
> {code:sql}
> analytic_function_name ( [ argument_list ] )
>   OVER (
>     [ PARTITION BY partition_expression_list ]
>     [ ORDER BY expression [{ ASC | DESC }] [, ...] ]
>     [ window_frame_clause ]
>   )
> {code}
> As there is a long list of analytics functions, a good start point is support rank() first.
> This will requires touch core components of BeamSQL:
> 1. SQL parser to support the syntax above.
> 2. SQL core to implement physical relational operator.
> 3. Distributed algorithms to implement a list of functions in a distributed manner. 
> 4. Enable in ZetaSQL dialect.
> To understand what SQL analytics functionality is, you could check this great explanation doc: https://cloud.google.com/bigquery/docs/reference/standard-sql/analytic-function-concepts.
> To know about Beam's programming model, check: https://beam.apache.org/documentation/programming-guide/#overview



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