Stefanietry opened a new issue, #9582: URL: https://github.com/apache/paimon/issues/9582
### Search before asking - [x] I searched in the [issues](https://github.com/apache/paimon/issues) and found nothing similar. ### Motivation blob-descriptor-field stores blob values as serialized BlobDescriptor bytes inline in data files. In Spark, reading such fields as normal binary data should return the actual blob bytes, while blob-as-descriptor=true should return descriptor bytes. Currently, spark may fail to resolve the actual blob data because the read path does not always attach the required descriptor reader to the reconstructed blob value. ### Solution Pass a table-level UriReaderFactory through the spark scan/read path, and wrap read rows with a descriptor-resolving row when blob-as-descriptor=false. The wrapper reattaches the proper reader to BlobRef values, so spark can read actual blob bytes from blob-descriptor-field. When blob-as-descriptor=true, spark keeps returning serialized descriptor bytes. ### Anything else? _No response_ ### Are you willing to submit a PR? - [ ] I'm willing to submit a PR! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
