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feat(vector): support vector values in deduplicate primary-key tables #268
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feat(vector): support data evolution
cursoragent c2fed89
feat(vector): validate schema evolution commits
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Merge branch 'main' into cursor/vector-data-evolution-8e06
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It seems there may be some confusion here between schema evolution and data evolution.
Schema evolution refers to changes to the schema itself, such as adding, dropping, or renaming fields, as well as changing field types. Paimon has supported this for quite a long time.
Data evolution, on the other hand, is a newer mode in Paimon. It allows newly added columns to be populated dynamically and efficiently without rewriting existing data. Since, in data evolution mode, different fields of the same row may be stored in different files, each row has a globally unique row ID so that fields from different files can be stitched together correctly at query time.
The current PR seems to conflate these two features. Could you please confirm which functionality this PR is intended to support and adjust the implementation accordingly? Thanks.