AlenkaF commented on issue #34510: URL: https://github.com/apache/arrow/issues/34510#issuecomment-2109488496
Though it is unfortunate that the values get blown up and writing to parquet becomes slower I do still think it is "good enough" as already mentioned due to the complexity involved. What if applications would use custom metadata to hold the schema and tensor type while writing only storage values (floats for example) in parquet files? It would need some custom logic to construct the tensor again when reading but might be a good alternative (buffers should still be the same after read, not copied). cc @rok -- 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]
