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