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lancedb-gatefixer[bot]
7357d63e87
<!-- lance-gatekeeper-fix:v1 agent=5c80c44c083b3b8ad0da595419d468fc generation=1 --> ## Root cause The legacy synchronous Python table called `delete` on a shared, mutable `lance.Dataset`. Concurrent table operations could hold a PyO3 borrow while delete requested an exclusive borrow, producing `RuntimeError: Already borrowed`. The current async-backed binding fixes this by cloning its thread-safe Rust table handle before awaiting, but that concurrency contract had no regression coverage. ## Fix - Document why delete must clone the Rust table handle before entering its async future. - Add a barrier-synchronized regression test that deletes distinct rows through one shared table from eight Python threads. - Verify every delete commits exactly one row, every commit gets a distinct version, and no rows remain. ## Validation - `cargo check --quiet --features remote --tests --examples` - `cargo fmt --all -- --check` - `uv run --extra tests --extra dev ruff format --check python/tests/test_table.py` - `uv run --extra tests --extra dev ruff check python/tests/test_table.py` - `uv run --extra tests --extra dev pytest python/tests/test_table.py::test_concurrent_deletes_are_thread_safe python/tests/test_table.py::test_delete python/tests/test_table.py::test_delete_expr python/tests/test_table.py::test_delete_expr_async -q` (4 passed) - Manual stress reproduction: 100 concurrent deletes on one table completed at versions 2–101 with zero rows remaining. Fixes #530 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
The Multimodal AI Lakehouse
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
Star LanceDB to get updates!
⭐ Click here ⭐ to see how fast we're growing!
Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
Join Us and Contribute
We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
Contributors
Stay in Touch With Us