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Posted to issues@flink.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2018/10/15 19:04:00 UTC

[jira] [Created] (FLINK-10556) Integration with Apache Hive

Xuefu Zhang created FLINK-10556:
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             Summary: Integration with Apache Hive
                 Key: FLINK-10556
                 URL: https://issues.apache.org/jira/browse/FLINK-10556
             Project: Flink
          Issue Type: New Feature
          Components: Batch Connectors and Input/Output Formats, SQL Client, Table API &amp; SQL
    Affects Versions: 1.6.0
            Reporter: Xuefu Zhang
            Assignee: Xuefu Zhang


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:
# Detadata interoperability
# Data interoperability
# Data type compatibility
# Hive UDF support
# DDL/DML/Query language compatibility

For a longer term, we'd also like to add or improve:
# Compatible SQL service, client tools, JDBC/ODBC drivers
# Better task failure tolerance and task scheduling
# 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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