lancedb-gatefixer[bot]
3e0a1a8780
`nprobes(0)` bypassed the validation used by the minimum and maximum probe setters, allowing zero into query requests and producing inconsistent local and remote results. Sync Python could additionally interpret the zero maximum as an unbounded search. Reject zero in the Rust vector-query builder and propagate its input error through the Python vector/hybrid and Node bindings. Validate nonpositive counts in the sync Python vector and hybrid builders so every SDK and backend reports `nprobes must be greater than 0` before execution. Update the Rust examples and document the positive-count requirement. Regression tests cover local and remote vector/hybrid builders, rejection before remote query requests, promised TypeScript query vectors, and positive counts replacing both probe bounds. Validation: - Rust probe regression tests: 2 passed. - Focused Python query, remote, hybrid, and serialization tests: 22 passed. The four sync regression cases fail with the original setters. - Focused TypeScript indexed local and mocked remote tests: 2 passed. - Workspace `cargo check --features remote --tests --examples` and Clippy passed. - Rust formatting, Python formatting/lint, and TypeScript build/lint/docs passed. Repository-wide `ruff check .` reports 29 existing errors in unchanged CI scripts; `ruff check python` passes. Fixes #4388 BREAKING CHANGE: Rust `VectorQuery::nprobes` now returns `Result<Self>` instead of `Self`; callers must handle the result, as with the existing minimum/maximum probe setters. <!-- lance-gatekeeper-fix:v1 agent=e92fda5a212c7f9e80fa55e7b4e4634d generation=1 --> Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
LanceDB Python SDK
A Python library for LanceDB.
Installation
pip install lancedb
Pre-Haswell x86_64 hosts: lancedb-compat
The default lancedb wheel targets x86-64-haswell (AVX2 + FMA + F16C) for full performance on modern hardware. Pre-Haswell hosts — Intel Sandy Bridge / Ivy Bridge / Westmere; AMD Bulldozer / Piledriver / Steamroller — don't have AVX2 and crash with Illegal instruction at import lancedb.
For those hosts, install the lancedb-compat package instead:
pip install lancedb-compat
Same Python API (import lancedb works as usual). The compat wheel is compiled at the x86-64-v2 baseline (Nehalem-class) and uses runtime SIMD dispatch in the embedded lance crate to pick the right kernel tier (scalar / AVX / AVX+FMA / AVX2+FMA / AVX-512) at load time, so it still goes fast on modern hardware while running cleanly on the pre-Haswell silicon. Use lance.simd_info() from Python to verify which tier was selected.
lancedb and lancedb-compat install to the same lancedb/ namespace and conflict at install time. Pick one. To switch, pip uninstall lancedb first, then pip install lancedb-compat (or vice-versa).
If you need a custom baseline (or lancedb-compat isn't yet published for your platform), build from source with the override:
RUSTFLAGS="-C target-cpu=x86-64-v2" maturin build --release
pip install ./target/wheels/lancedb-*.whl
Preview Releases
Stable releases are created about every 2 weeks. For the latest features and bug fixes, you can install the preview release. These releases receive the same level of testing as stable releases, but are not guaranteed to be available for more than 6 months after they are released. Once your application is stable, we recommend switching to stable releases.
pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb
Threading in CPU-limited containers
LanceDB uses separate pools for compute work and storage I/O. On a container with two visible CPUs, current releases intentionally use one compute worker by default; no manual configuration is needed. If every query logs an I/O core reservation warning on a two-CPU container, upgrade from LanceDB 0.21.1 or earlier.
The two commonly tuned environment variables control different resources:
LANCE_CPU_THREADSoverrides the number of compute workers. One worker is the appropriate setting for a two-CPU container when an explicit override is needed.LANCE_IO_THREADScontrols concurrent storage operations, not reserved CPU cores. Its default can be greater than the number of CPUs because I/O workers spend much of their time waiting for storage.
Keep the defaults unless measurements show that the workload benefits from an override. See the Lance threading model for the current defaults and tuning guidance.
Usage
Basic Example
import lancedb
db = lancedb.connect('<PATH_TO_LANCEDB_DATASET>')
table = db.open_table('my_table')
results = table.search([0.1, 0.3]).limit(20).to_list()
print(results)
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.