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https://issues.apache.org/jira/browse/FLINK-10556?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16669576#comment-16669576
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ASF GitHub Bot commented on FLINK-10556:
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bowenli86 opened a new pull request #6969: [FLINK-10556][Table API & SQL]Add
APIs to ExternalCatalog, CrudExternalCatalog and InMemoryCrudExternalCatalog
for views and UDFs
URL: https://github.com/apache/flink/pull/6969
## What is the purpose of the change
Currently Flink's external catalog have APIs for tables only. However, views
and UDFs are also common objects in a catalog.
Adding initial APIs and in-memory implementations for views and UDFs to
external catalog. These APIs are required when we store Flink views and UDFs
in an external persistent storage. These APIs will evolve as we make progress
in Flink-Hive integration.
## Brief change log
- added initial APIs for views and UDFs in `ExternalCatalog` and
`CrudExternalCatalog`
- added in-memory implementations in `InMemoryCrudExternalCatalog`
- added relevant tests
## Verifying this change
This change added tests and can be verified as follows:
- Added unit tests in `InMemoryExternalCatalogTest`
## Does this pull request potentially affect one of the following parts:
none
## Documentation
- Does this pull request introduce a new feature? (yes )
- If yes, how is the feature documented? (JavaDocs)
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> 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
> Labels: pull-request-available
> Attachments: Flink-Hive Metastore Connectivity Design.pdf, Proposal_
> Integrate Flink with Hive Ecosystem.pdf
>
>
> 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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