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  1. Flink
  2. FLINK-16114 Support Scalar Vectorized Python UDF in PyFlink
  3. FLINK-16484

Support all the data types in vectorized Python UDF

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Details

    • Sub-task
    • Status: Closed
    • Major
    • Resolution: Resolved
    • None
    • 1.11.0
    • API / Python
    • None

    Description

      Currently, only TinyInt/Smallint/Int/BigInt data types are supported in vectorized Python UDF. The aim of this Jira is to add support for all the other data types.

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          is a parent of

          Improvement - An improvement or enhancement to an existing feature or task. FLINK-16608 Support primitive data types for vectorized Python UDF

          • Major - Major loss of function.
          • Closed

          Improvement - An improvement or enhancement to an existing feature or task. FLINK-16847 Support timestamp types in vectorized Python UDF

          • Major - Major loss of function.
          • Closed

          Improvement - An improvement or enhancement to an existing feature or task. FLINK-16914 Support ArrayType in vectorized Python UDF

          • Major - Major loss of function.
          • Closed

          Improvement - An improvement or enhancement to an existing feature or task. FLINK-16983 Support RowType in vectorized Python UDF

          • Major - Major loss of function.
          • Closed

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              dian.fu Dian Fu
              dian.fu Dian Fu
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              Dates

                Created:
                Updated:
                Resolved: