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https://issues.apache.org/jira/browse/BEAM-9198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Wang updated BEAM-9198:
---------------------------
Description:
BeamSQL has a long list of of aggregation/aggregation analytics functionalities
to support.
To begin with, you will need to support this syntax:
analytic_function_name ( [ argument_list ] )
OVER (
[ PARTITION BY partition_expression_list ]
[ ORDER BY expression [{ ASC | DESC }] [, ...] ]
[ window_frame_clause ]
)
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. Build benchmarks to measure performance of your implementation.
was:
BeamSQL has a long list of of aggregation/aggregation analytics functionalities
to support.
To begin with, you will need to support this syntax:
analytic_function_name ( [ argument_list ] )
OVER (
[ PARTITION BY partition_expression_list ]
[ ORDER BY expression [{ ASC | DESC }] [, ...] ]
[ window_frame_clause ]
)
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.
> BeamSQL aggregation analytics functions
> ----------------------------------------
>
> Key: BEAM-9198
> URL: https://issues.apache.org/jira/browse/BEAM-9198
> Project: Beam
> Issue Type: Task
> Components: dsl-sql
> Reporter: Rui Wang
> Priority: Major
> Labels: gsoc, gsoc2020, mentor
>
> BeamSQL has a long list of of aggregation/aggregation analytics
> functionalities to support.
> To begin with, you will need to support this syntax:
> analytic_function_name ( [ argument_list ] )
> OVER (
> [ PARTITION BY partition_expression_list ]
> [ ORDER BY expression [{ ASC | DESC }] [, ...] ]
> [ window_frame_clause ]
> )
> 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. Build benchmarks to measure performance of your implementation.
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