bojana-db opened a new pull request, #57933:
URL: https://github.com/apache/spark/pull/57933
### What changes were proposed in this pull request?
Adds the SQL function` variant_strip_nulls(v[, includeArrays])`, which
recursively removes Variant null fields from objects (and, by default, Variant
null elements from arrays) in a Variant value.
Details:
- Object path: a field whose value is a Variant null (the JSON null literal)
is removed entirely; recursion walks nested objects and arrays at all levels;
- includeArrays (BOOLEAN, default true): when true, Variant null elements
are also removed from arrays; when false, array null elements are kept, but
null fields of objects nested anywhere (including inside arrays) are still
stripped;
- Empty containers are preserved: an object/array emptied by stripping stays
{} / []; the parent is never collapsed to NULL;
- Non-container inputs — scalars and a top-level Variant null
(parse_json('null')) — are returned unchanged;
- NULL intolerant: any NULL argument returns NULL.
### Why are the changes needed?
<!--
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There is no built-in way to drop Variant null entries from a Variant; today
users must convert it to another type (e.g. a map) and back.
### Does this PR introduce _any_ user-facing change?
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Note that it means *any* user-facing change including all aspects such as
new features, bug fixes, or other behavior changes. Documentation-only updates
are not considered user-facing changes.
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- provide the console output, description and/or an example to show the
behavior difference if possible.
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the released Spark versions or within the unreleased branches such as master.
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Yes, a new SQL function (and Scala/Python `functions` API.
### How was this patch tested?
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Unit tests.
### Was this patch authored or co-authored using generative AI tooling?
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Generated-by: Claude Code with Claude Opus 4.8
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