Chang She created ARROW-18275: --------------------------------- Summary: Allow custom reader/writer implementation for arrow dataset read/write path Key: ARROW-18275 URL: https://issues.apache.org/jira/browse/ARROW-18275 Project: Apache Arrow Issue Type: New Feature Components: Python Affects Versions: 10.0.0 Reporter: Chang She
We're implementing a "versionable" data format where the read/write path has some metadata handling which we currently can't plug into the native pyarrow write_dataset and pa.dataset.dataset mechanism. What we've done currently is have our own `lance.write_dataset` and `lance.dataset` interfaces which knows about the versioning. And if you use the native arrow ones, it reads/writes an unversioned dataset. It would be great if: 1. the arrow interfaces provided a way for custom data formats to provide their own Arrow compliant reader/writer implementations, so we can delete our custom interface and stick with native pyarrow interface. 2. the pyarrow interface can support custom kwargs like "version=5" or "as_of=<timestamp>" or "version='latest'" for reference, this is what our custom C++ dataset implementation looks like: https://github.com/eto-ai/lance/blob/main/cpp/include/lance/arrow/dataset.h -- This message was sent by Atlassian Jira (v8.20.10#820010)