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From "Rong Rong (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-10556) Integration with Apache Hive
Date Mon, 15 Oct 2018 21:30:00 GMT

     [ https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Rong Rong updated FLINK-10556:
------------------------------
    Description: 
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:
# Metadata 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!

  was:
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!


> 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
>            Priority: Major
>
> 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:
> # Metadata 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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