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https://issues.apache.org/jira/browse/FLINK-20416?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17247228#comment-17247228
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Sebastian Liu commented on FLINK-20416:
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[~lirui] Thanks for your suggestion. I will drive a design doc for discussion
ASAP.
> Need a cached catalog for batch SQL job
> ---------------------------------------
>
> Key: FLINK-20416
> URL: https://issues.apache.org/jira/browse/FLINK-20416
> Project: Flink
> Issue Type: Improvement
> Components: Connectors / Common, Connectors / Hive, Table SQL / API,
> Table SQL / Planner
> Reporter: Sebastian Liu
> Priority: Major
> Labels: pull-request-available
>
> For OLAP scenarios, There are usually some analytical queries which running
> time is relatively short. These queries are also sensitive to latency. In the
> current Blink sql processing, parse/validate/optimize stages are all need
> meta data from catalog API. But each request to the catalog requires re-run
> of the underlying meta query.
>
> We may need a cached catalog which can cache the table schema and statistic
> info to avoid unnecessary repeated meta requests.
> I have submitted a related PR for adding a genetic cached catalog, which can
> delegate other implementations of {{AbstractCatalog. }}
> {{[https://github.com/apache/flink/pull/14260]}}
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