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https://issues.apache.org/jira/browse/BEAM-9198?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17126168#comment-17126168
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John Mora commented on BEAM-9198:
---------------------------------
Hi [~kenn]
I am still working on this issue. I am on the stage 2. "SQL core to implement
physical relational operator" of my GSoC proposal. I have been reporting my
progress to my mentor [~amaliujia] . Additionally, I have sent a PR with an
experiment in order to receive feedback, a few days ago.
Regards,
John
> 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: P2
> Labels: gsoc, gsoc2020, mentor
> Time Spent: 50m
> Remaining Estimate: 0h
>
> Mentor email: ruw...@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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