[
https://issues.apache.org/jira/browse/ARROW-18275?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17633701#comment-17633701
]
Miles Granger commented on ARROW-18275:
---------------------------------------
Does this overlap with [ARROW-18163 |
https://issues.apache.org/jira/browse/ARROW-18163]? To me it sounds like if
that were implemented, this could be accomplished by the implementation of the
custom dataset format?
> [Python] 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
> Priority: Major
> Labels: Python
>
> 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)
