[
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).
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
