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https://issues.apache.org/jira/browse/HIVE-30150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated HIVE-30150:
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Labels: pull-request-available (was: )
> Implement ETag-based freshness-aware table loading for HMS Iceberg REST
> Catalog
> -------------------------------------------------------------------------------
>
> Key: HIVE-30150
> URL: https://issues.apache.org/jira/browse/HIVE-30150
> Project: Hive
> Issue Type: Sub-task
> Reporter: Raghav Aggarwal
> Assignee: Raghav Aggarwal
> Priority: Major
> Labels: pull-request-available
>
> In the Apache Iceberg REST Catalog (IRC) specification, loading a table
> ({{{}GET /v1/\{prefix}/namespaces/\{namespace}/tables/\{table}{}}}) returns a
> {{LoadTableResponse}} payload containing the full {{TableMetadata}} JSON. For
> large production tables with extensive snapshot histories, schemas, and
> partition specs, this payload can grow significantly.
> Without conditional HTTP request caching ({{{}ETag{}}} and {{If-None-Match}}
> per RFC 9110), engine clients (Spark, Trino) must download and deserialize
> the entire metadata payload on every refresh or query plan resolution, even
> when no new commits have occurred. Furthermore, Hive's metastore-rest-catalog
> previously lacked header plumbing and standard {{304 Not Modified}} / {{204
> No Content}} status code handling.
> References:
> # [https://github.com/apache/iceberg/pull/14398]
> # [https://github.com/apache/iceberg/pull/12194]
> #
> [https://docs.google.com/document/d/1rnVSP_iv2I47giwfAe-Z3DYhKkKwWCVvCkC9rEvtaLA]
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