fix: handle type mismatches in native c2r conversion#3583
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andygrove wants to merge 6 commits intoapache:mainfrom
Open
fix: handle type mismatches in native c2r conversion#3583andygrove wants to merge 6 commits intoapache:mainfrom
andygrove wants to merge 6 commits intoapache:mainfrom
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When Spark generates default column values, it can produce Arrow arrays with physical types (e.g. Int32) that differ from the logical schema type (e.g. Date32). The c2r converter's maybe_cast_to_schema_type previously passed these through silently, causing downcast failures. Now the fallback arm attempts an Arrow cast for any type mismatch, fixing the immediate Date32 bug and preventing similar issues for other data types. Closes apache#3482
andygrove
commented
Feb 24, 2026
| /** | ||
| * Checks if native columnar to row conversion is enabled. | ||
| */ | ||
| def isEnabled: Boolean = CometConf.COMET_NATIVE_COLUMNAR_TO_ROW_ENABLED.get() |
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Closes #3482
Summary
Int32) that differ from logical schema types (e.g.Date32)maybe_cast_to_schema_typeto attempt an Arrow cast for any type mismatch, rather than silently passing through the mismatched array