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lancedb-gatefixer[bot]
2fbf6d6211
## Summary - add regression coverage for the reported synchronous Python workload with 32 simultaneous `open_table` calls - verify every independently opened S3-backed table handle can read through the connection's shared session and object-store client ## Root cause In Python v0.13.0, each synchronous table handle lazily constructed its own Lance dataset. Opening many handles in parallel therefore triggered independent S3 client construction and bucket-region resolution, which failed under thread pressure. The current Rust-backed connection path owns a shared Lance session and retains its object-store handle, so table opens reuse the existing S3 client; these tests lock in that behavior through the public Python API and a causal Session-registry invariant. ## Validation - `uvx --from 'ruff==0.15.20' ruff format --check python/tests/test_s3.py` - `uvx --from 'ruff==0.15.20' ruff check .` - `cargo fmt --all` - `cargo test --quiet --features remote -p lancedb test_concurrent_open_table_reuses_connection_object_store` - `cargo check --quiet --features remote --tests --examples` - equivalent 32-thread `open_table(...).count_rows()` workload against a local database - targeted S3 test collected successfully locally; execution requires the CI LocalStack service, which is unavailable in this runner Fixes #1786 <!-- lance-gatekeeper-fix:v1 agent=d311f3c7151f77ae22b4997702e7b7db generation=1 --> --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Co-authored-by: Xuanwo <github@xuanwo.io>
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
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⭐ 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.
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