[jira] [Resolved] (FLINK-22612) Restructure the coders in PyFlink

["Huang Xingbo (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-22612?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Huang Xingbo resolved FLINK-22612.
----------------------------------
    Resolution: Done

Merged into master via 9986e6f466bbd4a34a11bc79534574148e386fa8

> Restructure the coders in PyFlink
> ---------------------------------
>
>                 Key: FLINK-22612
>                 URL: https://issues.apache.org/jira/browse/FLINK-22612
>             Project: Flink
>          Issue Type: Improvement
>          Components: API / Python
>    Affects Versions: 1.14.0
>            Reporter: Huang Xingbo
>            Assignee: Huang Xingbo
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 1.14.0
>
>
> Now, PyFlink has introduced many top-level coder. The top-level coder is defined as used by `Python Operation` directly. Currently, some top-level coder comes with the semantics of function, such as `TableFunctionCoder`. In fact, we need to remove this semantic and remove many coders such as `TableFunctionCoder`, `AggregateFunctionCoder` and so on. For the data structure type to be processed, there will only be `FlattenRowCoder`(used in udf, udtf.., the type of data will be List), `TopRowCoder`(used in udaf, udtagg, the type of data will be Row or InternalRow), `RawCoder`(used in datastream, the type of data will be raw data type), `ArrowCoder`(used in pandas udf, the type of data will be pandas data structure).



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