lancedb-gatefixer[bot] 741cb9ad4e fix(python): implement remote namespace and table existence checks (#4725)
Remote Python connections inherited the unsupported-operation stubs for
`namespace_exists` and `table_exists`, so both raised
`NotImplementedError` even when namespace and table operations worked.

Add the missing remote overrides, async methods, and PyO3 bindings using
the existing namespace describe and table open paths. Only an explicit
not-found result returns `False`; permission, transport, and server
errors propagate. This preserves authentication, dynamic headers,
retries, and nested namespace handling, and rechecks cached tables
before reporting that they exist.

The async namespace helper also recognizes native `NamespaceNotFound`
errors so missing local namespaces return `False`. The table and
namespace guides document Python remote support and distinguish it from
the unsupported `exists` routes used by direct REST namespace clients.

Validation:
- All 40 focused regression cases pass, covering successful and missing
lookups, local and remote namespaces, dynamic headers, permission/server
errors, invalid table identifiers, and cached tables that disappear.
- The original inherited stubs reproduce the reported
`NotImplementedError`; the local namespace regression reproduced the
native missing-namespace `RuntimeError` before its fix.
- Full remote connection suite: 255 passed. Local namespace tests: 14
passed.
- `cargo clippy --quiet -p lancedb-python --features remote --lib`,
`cargo fmt --all`, Python Ruff lint, and Python formatting checks pass.
- Root `ruff check .` reports 48 existing errors in documentation
examples under `docs/web-tests`; the Python subtree passes and those
unrelated files are unchanged.

Fixes #4722

<!-- lance-gatekeeper-fix:v1 agent=4d369a0681756fdb5a8b35853d7f5607
generation=1 -->

---------

Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com>
2026-10-28 16:08:43 -07:00
2023-03-17 18:15:19 -07:00
2025-03-10 09:01:23 -07:00

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LanceDB

The Multimodal Lakehouse for AI

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.


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Python SDK https://lancedb.github.io/lancedb/python/python/
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