[ https://issues.apache.org/jira/browse/FLINK-22612?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dian Fu updated FLINK-22612: ---------------------------- Summary: Restructure the coders in PyFlink (was: Reconstruct coders in PyFlink) > 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 > 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)