Issues found during integration tests:
1. describe_namespace should use POST
2. service needs to access the underlying namespace to be able to do
operations like create_empty_table directly, or get credentials in
isolated paths like a remote take
## Summary
- update all lance crates to v1.0.0 using the helper script (fallbacks
to the v1.0.0 tag)
- refresh Cargo.lock to pull the new release
- add script fallback to retry with the git tag when a crates.io release
is unavailable
## Testing
- cargo clippy --workspace --tests --all-features -- -D warnings
- cargo fmt --all
Tag: https://github.com/lance-format/lance/releases/tag/v1.0.0
---------
Co-authored-by: Jack Ye <yezhaoqin@gmail.com>
1. Use generated models in lance-namespace for request response models
to avoid multiple layers of conversions
2. Make sure the API is consistent with the namespace spec
3. Deprecate the table_names API in favor of the list_tables API in
namespace that allows full pagination support without the need to have
sorted table names
4. Add describe_namespace API which was a miss in the original
implementation
## Summary
- bump all Lance crates to v1.0.0-beta.16 via ci/set_lance_version.py
- refresh Cargo.lock (reqwest/opendal/etc.) to satisfy the new release
## Verification
- cargo clippy --workspace --tests --all-features -- -D warnings
- cargo fmt --all
Triggered by
[refs/tags/v1.0.0-beta.16](https://github.com/lance-format/lance/releases/tag/v1.0.0-beta.16)
---------
Co-authored-by: Jack Ye <yezhaoqin@gmail.com>
## Summary
- bump all Lance crates to 1.0.0-beta.14 via ci/set_lance_version.py
- refresh Cargo.lock to capture new transitive requirements
- verified `cargo clippy --workspace --tests --all-features -- -D
warnings` and `cargo fmt --all`
Triggered by refs/tags/v1.0.0-beta.14
---------
Co-authored-by: Jack Ye <yezhaoqin@gmail.com>
Based on https://github.com/lancedb/lance/pull/4984
1. Bump to 1.0.0-beta.2
2. Use DirectoryNamespace in lance to perform all testing in python and
rust for much better coverage
3. Refactor `ListingDatabase` to be able to accept location and
namespace. This is because we have to leverage listing database (local
lancedb connection) for using namespace, namespace only resolves the
location and storage options but we don't want to bind all the way to
rust since user will plug-in namespace from python side. And thus
`ListingDatabase` needs to be able to accept location and namespace that
are created from namespace connection.
4. For credentials vending, we also pass storage options provider all
the way to rust layer, and the rust layer calls back to the python
function to fetch next storage option. This is exactly the same thing we
did in pylance.
## Summary
- Updated all Lance dependencies from v0.38.3-beta.9 to v0.38.3-beta.11
- Migrated `lance-namespace-impls` to use new granular cloud provider
features (`dir-aws`, `dir-gcp`, `dir-azure`, `dir-oss`) instead of
deprecated `dir` feature
- Updated namespace connection API to use `ConnectBuilder` instead of
deprecated `connect()` function
## API Changes
The Lance team refactored the `lance-namespace-impls` package in
v0.38.3-beta.11:
1. **Feature flags**: The single `dir` feature was split into cloud
provider-specific features:
- `dir-aws` for AWS S3 support
- `dir-gcp` for Google Cloud Storage support
- `dir-azure` for Azure Blob Storage support
- `dir-oss` for Alibaba Cloud OSS support
2. **Connection API**: The `connect()` function was replaced with a
`ConnectBuilder` pattern for more flexibility
## Testing
- ✅ Ran `cargo clippy --workspace --tests --all-features -- -D warnings`
- no warnings
- ✅ Ran `cargo fmt --all` - code formatted
- ✅ All changes verified and committed
## Related
This update was triggered by the Lance release:
https://github.com/lancedb/lance/releases/tag/v0.38.3-beta.11🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Claude <noreply@anthropic.com>
I'm working on a lancedb version of pytorch data loading (and hopefully
addressing https://github.com/lancedb/lance/issues/3727).
However, rather than rely on pytorch for everything I'm moving some of
the things that pytorch does into rust. This gives us more control over
data loading (e.g. using shards or a hash-based split) and it allows
permutations to be persistent. In particular I hope to be able to:
* Create a persistent permutation
* This permutation can handle splits, filtering, shuffling, and sharding
* Create a rust data loader that can read a permutation (one or more
splits), or a subset of a permutation (for DDP)
* Create a python data loader that delegates to the rust data loader
Eventually create integrations for other data loading libraries,
including rust & node
