commit | 077fe6435495faedafbee2c217743cda4e2e6ec2 | [log] [tgz] |
---|---|---|
author | Joris Van den Bossche <jorisvandenbossche@gmail.com> | Mon Apr 12 08:34:16 2021 -0400 |
committer | David Li <li.davidm96@gmail.com> | Mon Apr 12 08:34:16 2021 -0400 |
tree | e858d670a62e2b7ead44b87048f255f1e05f10eb | |
parent | 5b08205f7e864ed29f53ed3d836845fed62d5d4a [diff] |
ARROW-12299: [Python] Recognize new filesytems in pq.write_to_dataset This adds similar logic as we have in ParquetDataset: if a new-style filesystem is passed (which is not supported in the legacy implementation), automatically default to the new implementation. Closes #9967 from jorisvandenbossche/ARROW-12299 Authored-by: Joris Van den Bossche <jorisvandenbossche@gmail.com> Signed-off-by: David Li <li.davidm96@gmail.com>
Apache Arrow is a development platform for in-memory analytics. It contains a set of technologies that enable big data systems to process and move data fast.
Major components of the project include:
Arrow is an Apache Software Foundation project. Learn more at arrow.apache.org.
The reference Arrow libraries contain many distinct software components:
The official Arrow libraries in this repository are in different stages of implementing the Arrow format and related features. See our current feature matrix on git master.
Please read our latest project contribution guide.
Even if you do not plan to contribute to Apache Arrow itself or Arrow integrations in other projects, we'd be happy to have you involved: