Files
lancedb/python
Jonathan M HsiehandClaude Opus 5 6b77670e5c refactor(secrets): address Secrets the way every other object is addressed
Secret CRUD used plural collection routes with the identity in the body, which
is the one shape in the HTTP surface that does not match Table and Function
CRUD. #4166 moved Functions onto `<object>/{id}/<action>`; this does the same
for Secrets, so there is one route grammar rather than one per object type.

    POST /v1/secrets/create      ->  POST /v1/secret/{id}/create
    POST /v1/secrets/alter       ->  POST /v1/secret/{id}/alter
    POST /v1/secrets/describe    ->  POST /v1/secret/{id}/describe
    POST /v1/secrets/drop        ->  POST /v1/secret/{id}/drop
    POST /v1/secrets/list        ->  GET  /v1/namespace/{id}/secret/list

`{id}` is the namespace path and the name joined with the client's configured
delimiter, built by the same helper a table identifier is. The name and the
namespace therefore leave every request body: create and alter carry the value
alone, drop and describe carry nothing, and listing moves its `page_token` to a
query parameter. `add_namespace_path` goes with them -- a root Secret is
addressed by its bare name, so there is no longer an empty field to omit.

Identifiers are written into the path as-is rather than percent-encoded. The
charset a Secret name and a namespace segment admit already excludes everything
that would need escaping, and a route that reads like the ones beside it is
worth more than encoding against a charset that does not exist yet. If that
charset widens, this is the place that has to widen with it.

Listing takes a real namespace rather than rejecting a non-root one the way the
Function route does: Secrets are addressable inside nested namespaces, so the
namespace identifier is the whole point of the route.

`build_secret_identifier` is a wrapper over `build_table_identifier` rather than
a second implementation. The grammar belongs to the namespace spec rather than
to tables, and a call site should read as the thing it addresses.

Also removes `_DECLARED_SECRET`, which has been unreferenced since client-side
binding validation was dropped, and whose pattern was the environment variable
grammar rather than a Secret name's.

Tests: lancedb secret unit tests 7, `first_class_function_slice1` 9,
`first_class_function_slice2` 3, 93 Python tests across both slices.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01UfmeJ533rQDnPBkMtjerV6
2026-09-15 19:29:09 +00:00
..
2025-01-29 08:27:07 -08:00
2024-04-05 16:22:59 -07:00

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_THREADS overrides the number of compute workers. One worker is the appropriate setting for a two-CPU container when an explicit override is needed.
  • LANCE_IO_THREADS controls 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.