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## Summary - keep the existing synchronous `connect()` path unchanged - make `LanceDBConnection.__repr__` and `LanceTable.__repr__` side-effect-free - add a regression test that verifies sync reprs do not call the Python background loop ## Root cause The freeze is caused by debugger rendering, not by `connect()` itself: 1. debugpy stops at a breakpoint and suspends all Python threads. 2. The debugger renders the new `db_connection` local by calling `repr()`. 3. `LanceDBConnection.__repr__` reads `read_consistency_interval`. 4. That property calls `LOOP.run(...).result()`. 5. The `LanceDBBackgroundEventLoop` thread is suspended by the debugger, so `repr()` waits for a thread that cannot run. This explains why the symptom appears immediately after `connect()`: it is the first point where a connection object exists in locals and is automatically rendered. `LanceTable.__repr__` had the same problem because it also read the connection's consistency interval. This follows the same principle as #3411: `__repr__` must not trigger async work or I/O that a debugger assumes is lightweight. ## Evidence I reproduced the behavior with the real LanceDB classes and debugpy 1.8.21 using a DAP client: - latest `main` (`ff6ff099`): the debugger reported `allThreadsStopped: true`, and evaluating `repr(db_connection)` timed out - this branch (`5755a5ba`): the same evaluation returned `LanceDBConnection(uri='/tmp/lancedb-debug-repro')` immediately - setting `PYDEVD_UNBLOCK_THREADS_TIMEOUT=0` also allowed the original repr path to complete, independently confirming that it was waiting on a suspended thread The regression test creates a connection and table, replaces `LOOP.run` with a function that fails, and verifies that both reprs still work. ## Validation - `maturin develop --manifest-path python/Cargo.toml` - `python -m pytest python/python/tests/test_db.py::test_sync_repr_does_not_use_background_loop python/python/tests/test_table.py::test_consistency -q` (`4 passed`) - `ruff check .` - `ruff format --check python/python/lancedb/db.py python/python/lancedb/table.py python/python/tests/test_db.py python/python/tests/test_table.py` - `git diff --check` Refs #3611.
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.
Contributors
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