Spark: Add sort_by parameter to rewrite_manifests procedure#15467
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RussellSpitzer merged 3 commits intoMar 9, 2026
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@RussellSpitzer @singhpk234 @huaxingao can you please help in review , thanks |
| | `table` | ✔️ | string | Name of the table to update | | ||
| | `use_caching` | ️ | boolean | Use Spark caching during operation (defaults to false). Enabling caching can increase memory footprint on executors. | | ||
| | `spec_id` | ️ | int | Spec id of the manifests to rewrite (defaults to current spec id) | | ||
| | `sort_by` | ️ | array<string> | List of partition field names to cluster manifests by. Choosing frequently queried partition fields can reduce planning time by skipping unnecessary manifests. If not set, manifests will be sorted by all partition fields in spec order. | |
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"partition transform names"?
| action.specId(specId); | ||
| } | ||
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| if (sortBy != null) { |
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should we fail on an empty array here?
RussellSpitzer
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This generally looks good to me, I have a few little nits
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thanks for the review @RussellSpitzer , have updated the changes |
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Thanks @hemanthboyina ! Merged |
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This PR adds the
sort_byparameter to therewrite_manifestsstored procedure, exposing thesortByfunctionalitythat was added to
RewriteManifestsSparkAction. Currently, custom manifest clustering by partition fieldsis only accessible through the Java API. This change allows SQL users to specify which partition fields to cluster
manifests by, which can reduce scan planning time by enabling Spark to skip manifests that don't contain relevant
partition values.
Example:
CALL catalog.system.rewrite_manifests(table => 'db.sample', sort_by => array('category'));