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Spark: Add native CDC for copy-on-write tables - #17953

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huan233usc wants to merge 4 commits into
apache:mainfrom
huan233usc:spark-4.2-auto-cdf-cow
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Spark: Add native CDC for copy-on-write tables#17953
huan233usc wants to merge 4 commits into
apache:mainfrom
huan233usc:spark-4.2-auto-cdf-cow

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@huan233usc

@huan233usc huan233usc commented Sep 4, 2026

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Summary

Expose Iceberg change data through the Spark 4.2 Data Source V2 Changelog API.

I tried to piggyback existing change log table implementation.

Currently the table only implements COW, so this PR only support COW case.

MOR will be a seperate efforts

Related to #17949.

I will make more test before making this a former PR


AI Disclosure

  • Model: grok
  • Platform/Tool: Cursor
  • Human Oversight: human reviewed and instruct AI for code reuse

Expose Iceberg changelog scans through Spark 4.2 native CDC APIs for batch and streaming reads. Require v3 row lineage so Spark can remove copy-on-write carry-over rows and derive update pre/post images correctly.\n\nRelated to apache#17949\n\nGenerated-by: Cursor
@github-actions github-actions Bot added the spark label Sep 4, 2026
Xin Huang added 3 commits September 4, 2026 17:28
Persist the CDC initial offset using the same source checkpoint mechanism as regular Iceberg streams and cap AvailableNow at a snapshot boundary.

Generated-by: Cursor
Apply Spotless formatting after validating through the Databricks Maven proxy.

Generated-by: Cursor
Extract common offset, partition, checkpoint, and AvailableNow handling while keeping changelog planning atomic at snapshot boundaries.

Generated-by: Cursor
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