steFaiz opened a new pull request, #8064: URL: https://github.com/apache/paimon/pull/8064
### Purpose This PR will close: https://github.com/apache/paimon/pull/8010 I tested a data-evolution table of 100,000,000 records, several structured columns and a blob column. The result is as below: | Metrics | Value | | --- | --- | | Plan | 49.78s | | **AVG Per chunk read** | **1.199s** | | chunk size | 100 | | AVG chunk Arrow size | 41.14 MiB | | AVG chunk file num | 81 | | columns | length, image_name, conversations, width, height, image_count, dataset, image_bytes | I directly test reading tables on dfs, it costs a lot to plan i.e. generate 1 million DataSplits and shuffle them. This is because generating 1 million objects in Python is heavy. This will be completed within several hundred of millisecond is Java. Next step I'll try to add shuffle and buffered shuffle for Pytorch Paimon Dataset. ### Tests See Unit Tests -- 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]
