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      This is an umbrella JIRA tracking all enhancement and issues related to integrating Flink with Hive ecosystem. This is an outcome of a discussion in the community, and thanks go to everyone that provided feedback and interest.

      Specifically, we'd like to see the following features and capabilities immediately in Flink:

      1. Metadata interoperability
      2. Data interoperability
      3. Data type compatibility
      4. Hive UDF support
      5. DDL/DML/Query language compatibility

      For a longer term, we'd also like to add or improve:

      1. Compatible SQL service, client tools, JDBC/ODBC drivers
      2. Better task failure tolerance and task scheduling
      3. Support other user customizations in Hive (storage handlers, serdes, etc).

      I will provide more details regarding the proposal in a doc shortly. Design doc, if deemed necessary, will be provided in each related sub tasks under this JIRA.

      Feedback and contributions are greatly welcome!

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              • Assignee:
                xuefuz Xuefu Zhang
                Reporter:
                xuefuz Xuefu Zhang
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                32 Start watching this issue

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