rahil-c opened a new pull request, #18683:
URL: https://github.com/apache/hudi/pull/18683
When hoodie.read.blob.inline.mode=DESCRIPTOR is set with Parquet base files,
leverage Parquet's nested column projection to skip reading the blob 'data'
sub-column entirely (genuine I/O savings). Previously the config only affected
Lance reads; Parquet still materialized the bytes.
Approach mirrors the existing VECTOR column rewrite pattern in
HoodieFileGroupReaderBasedFileFormat:
1. Detect blob columns via schema metadata
2. Strip the 'data' sub-field from blob structs in the read schema
3. Post-read null-pad the 'data' field back into output rows
Both COW (HoodieFileGroupReaderBasedFileFormat.readBaseFile) and MOR
(SparkFileFormatInternalRowReaderContext.getFileRecordIterator) paths are
covered. Also adds defensive null check in BatchedBlobReader.
read_blob() on Parquet DESCRIPTOR rows returns null since Parquet has no
byte-range blob access like Lance — documented as known limitation.
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