[spark] Support merge schema in MERGE INTO#7789
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Zouxxyy wants to merge 2 commits intoapache:masterfrom
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[spark] Support merge schema in MERGE INTO#7789Zouxxyy wants to merge 2 commits intoapache:masterfrom
Zouxxyy wants to merge 2 commits intoapache:masterfrom
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JingsongLi
reviewed
May 9, 2026
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| /** Reorder source struct fields to match target field order by name, recursing into nested types. */ | ||
| private def reorderStructByName( |
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reorderStructByName crashes when target struct has fields absent from source
Should we support this?
The same issue applies to MapType value reordering in reorderFieldsByName.
JingsongLi
reviewed
May 9, 2026
| * reorder and fill nulls for missing sub-fields. | ||
| */ | ||
| private def alignColumns( | ||
| def alignColumns( |
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SchemaHelper.scala now handles ArrayType alignment via transform, but MapType is not handled. Meanwhile, AssignmentAlignmentHelper.reorderFieldsByName does handle MapType. This inconsistency means the DataFrame write path won't align map values while the MERGE path will.
Is this a problem?
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Purpose
Add schema evolution support for MERGE INTO and fix nested-field alignment.
spark.paimon.write.merge-schema=true,UPDATE */INSERT *evolves target schema with new source columns. Star clauses pull from source by name; explicit clauses fill NULL.FROM_STARTreeNodeTagpreserves the original star intent, so a fully-listed explicit clause is not mistaken for*.AssignmentAlignmentHelpernow reorders nested struct / array / map fields by name.Scope
UPDATE */INSERT *→ evolveTests
13 new cases in
MergeIntoTableTestBaseplusWHEN NOT MATCHED BY SOURCEcoverage inMergeIntoNotMatchedBySourceTest.