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Author SHA1 Message Date
Todd Farmer
0a561a8fb8 Updating README.md 2026-04-01 18:13:39 -07:00
99 changed files with 3147 additions and 5409 deletions

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@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.28.0-beta.10"
current_version = "0.27.2"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

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@@ -18,6 +18,6 @@ body:
label: Link
description: >
Provide a link to the existing documentation, if applicable.
placeholder: ex. https://docs.lancedb.com/tables/...
placeholder: ex. https://lancedb.com/docs/tables/...
validations:
required: false

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@@ -1,18 +0,0 @@
version: 2
# Scope: the root Cargo workspace, which produces the Rust binaries we
# ship to users (the Node.js and Python native extensions). The
# `rust/lancedb` library crate shares the same lockfile; its consumers
# pick their own dependency versions, but bumping transitive deps here
# keeps the binaries we ship current.
updates:
- package-ecosystem: cargo
directory: /
schedule:
interval: weekly
open-pull-requests-limit: 10
groups:
rust-minor-patch:
update-types:
- minor
- patch

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@@ -8,9 +8,6 @@ concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
permissions:
contents: read
jobs:
labeler:
permissions:

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@@ -19,9 +19,6 @@ on:
paths:
- .github/workflows/java-publish.yml
permissions:
contents: read
jobs:
publish:
name: Build and Publish

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@@ -24,9 +24,6 @@ on:
- java/**
- .github/workflows/java.yml
permissions:
contents: read
jobs:
build-java:
runs-on: ubuntu-24.04

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@@ -10,10 +10,6 @@ on:
- nodejs/**
- java/**
- .github/workflows/license-header-check.yml
permissions:
contents: read
jobs:
check-licenses:
runs-on: ubuntu-latest

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@@ -8,16 +8,12 @@ on:
paths:
- Cargo.toml
- Cargo.lock
- rust-toolchain.toml
- nodejs/**
- rust/**
- docs/src/js/**
- .github/workflows/nodejs.yml
- docker-compose.yml
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true

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@@ -14,16 +14,10 @@ on:
env:
PIP_EXTRA_INDEX_URL: "https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/"
permissions:
contents: read
jobs:
linux:
name: Python ${{ matrix.config.platform }} manylinux${{ matrix.config.manylinux }}
timeout-minutes: 60
permissions:
id-token: write
contents: read
strategy:
matrix:
config:
@@ -63,12 +57,10 @@ jobs:
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
pypi_token: ${{ secrets.LANCEDB_PYPI_API_TOKEN }}
fury_token: ${{ secrets.FURY_TOKEN }}
mac:
timeout-minutes: 90
permissions:
id-token: write
contents: read
runs-on: ${{ matrix.config.runner }}
strategy:
matrix:
@@ -93,12 +85,10 @@ jobs:
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
pypi_token: ${{ secrets.LANCEDB_PYPI_API_TOKEN }}
fury_token: ${{ secrets.FURY_TOKEN }}
windows:
timeout-minutes: 60
permissions:
id-token: write
contents: read
runs-on: windows-latest
steps:
- uses: actions/checkout@v4
@@ -117,6 +107,7 @@ jobs:
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
pypi_token: ${{ secrets.LANCEDB_PYPI_API_TOKEN }}
fury_token: ${{ secrets.FURY_TOKEN }}
gh-release:
if: startsWith(github.ref, 'refs/tags/python-v')

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@@ -8,7 +8,6 @@ on:
paths:
- Cargo.toml
- Cargo.lock
- rust-toolchain.toml
- python/**
- rust/**
- .github/workflows/python.yml
@@ -17,9 +16,6 @@ on:
- .github/workflows/build_windows_wheel/**
- .github/workflows/run_tests/**
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
@@ -111,6 +107,7 @@ jobs:
- name: Install
run: |
pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -e .[tests,dev,embeddings]
pip install tantivy
pip install mlx
- name: Doctest
run: pytest --doctest-modules python/lancedb
@@ -229,5 +226,6 @@ jobs:
pip install "pydantic<2"
pip install pyarrow==16
pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -e .[tests]
pip install tantivy
- name: Run tests
run: pytest -m "not slow and not s3_test" -x -v --durations=30 python/tests

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@@ -8,16 +8,9 @@ on:
paths:
- Cargo.toml
- Cargo.lock
- rust-toolchain.toml
- deny.toml
- rust/**
- nodejs/Cargo.toml
- python/Cargo.toml
- .github/workflows/rust.yml
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
@@ -59,17 +52,6 @@ jobs:
- name: Run clippy (without remote feature)
run: cargo clippy --profile ci --workspace --tests -- -D warnings
deny:
# Supply-chain checks: advisories, licenses, banned crates, and source
# restrictions. Configuration lives in `deny.toml` at the workspace root.
timeout-minutes: 10
runs-on: ubuntu-24.04
steps:
- uses: actions/checkout@v4
- uses: EmbarkStudios/cargo-deny-action@v2
with:
command: check advisories bans licenses sources
build-no-lock:
runs-on: ubuntu-24.04
timeout-minutes: 30

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@@ -3,9 +3,6 @@ name: Update package-lock.json
on:
workflow_dispatch:
permissions:
contents: read
jobs:
publish:
runs-on: ubuntu-latest

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@@ -3,9 +3,6 @@ name: Update NodeJs package-lock.json
on:
workflow_dispatch:
permissions:
contents: read
jobs:
publish:
runs-on: ubuntu-latest

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@@ -2,6 +2,9 @@ name: upload-wheel
description: "Upload wheels to Pypi"
inputs:
pypi_token:
required: true
description: "release token for the repo"
fury_token:
required: true
description: "release token for the fury repo"
@@ -9,6 +12,12 @@ inputs:
runs:
using: "composite"
steps:
- name: Install dependencies
shell: bash
run: |
python -m pip install --upgrade pip
pip install twine
python3 -m pip install --upgrade pkginfo
- name: Choose repo
shell: bash
id: choose_repo
@@ -18,17 +27,19 @@ runs:
else
echo "repo=pypi" >> $GITHUB_OUTPUT
fi
- name: Publish to Fury
if: steps.choose_repo.outputs.repo == 'fury'
- name: Publish to PyPI
shell: bash
env:
FURY_TOKEN: ${{ inputs.fury_token }}
PYPI_TOKEN: ${{ inputs.pypi_token }}
run: |
WHEEL=$(ls target/wheels/lancedb-*.whl 2> /dev/null | head -n 1)
echo "Uploading $WHEEL to Fury"
curl -f -F package=@$WHEEL https://$FURY_TOKEN@push.fury.io/lancedb/
- name: Publish to PyPI
if: steps.choose_repo.outputs.repo == 'pypi'
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: target/wheels/
if [[ ${{ steps.choose_repo.outputs.repo }} == fury ]]; then
WHEEL=$(ls target/wheels/lancedb-*.whl 2> /dev/null | head -n 1)
echo "Uploading $WHEEL to Fury"
curl -f -F package=@$WHEEL https://$FURY_TOKEN@push.fury.io/lancedb/
else
twine upload --repository ${{ steps.choose_repo.outputs.repo }} \
--username __token__ \
--password $PYPI_TOKEN \
target/wheels/lancedb-*.whl
fi

512
Cargo.lock generated

File diff suppressed because it is too large Load Diff

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@@ -1,5 +1,7 @@
[workspace]
members = ["rust/lancedb", "nodejs", "python"]
# Python package needs to be built by maturin.
exclude = ["python"]
resolver = "2"
[workspace.package]
@@ -13,20 +15,20 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { "version" = "=6.0.0-beta.4", default-features = false, "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=6.0.0-beta.4", default-features = false, "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=6.0.0-beta.4", default-features = false, "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=6.0.0-beta.4", "tag" = "v6.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance = { version = "=4.0.0", default-features = false }
lance-core = { version = "=4.0.0" }
lance-datagen = { version = "=4.0.0" }
lance-file = { version = "=4.0.0" }
lance-io = { version = "=4.0.0", default-features = false }
lance-index = { version = "=4.0.0" }
lance-linalg = { version = "=4.0.0" }
lance-namespace = { version = "=4.0.0" }
lance-namespace-impls = { version = "=4.0.0", default-features = false }
lance-table = { version = "=4.0.0" }
lance-testing = { version = "=4.0.0" }
lance-datafusion = { version = "=4.0.0" }
lance-encoding = { version = "=4.0.0" }
lance-arrow = { version = "=4.0.0" }
ahash = "0.8"
# Note that this one does not include pyarrow
arrow = { version = "57.2", optional = false }

View File

@@ -1,9 +1,3 @@
<a href="https://cloud.lancedb.com" target="_blank">
<img src="https://github.com/user-attachments/assets/92dad0a2-2a37-4ce1-b783-0d1b4f30a00c" alt="LanceDB Cloud Public Beta" width="100%" style="max-width: 100%;">
</a>
<div align="center">
[![LanceDB](docs/src/assets/hero-header.png)](https://lancedb.com)
[![Website](https://img.shields.io/badge/-Website-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://lancedb.com/)
[![Blog](https://img.shields.io/badge/Blog-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://blog.lancedb.com/)
[![Discord](https://img.shields.io/badge/-Discord-100000?style=for-the-badge&logo=discord&logoColor=white&labelColor=645cfb&color=645cfb)](https://discord.gg/zMM32dvNtd)
@@ -15,7 +9,7 @@
# **The Multimodal AI Lakehouse**
[**How to Install** ](#how-to-install) ✦ [**Detailed Documentation**](https://docs.lancedb.com) ✦ [**Tutorials and Recipes**](https://github.com/lancedb/vectordb-recipes/tree/main) ✦ [**Contributors**](#contributors)
[**How to Install** ](#how-to-install) ✦ [**Detailed Documentation**](https://lancedb.com/docs) ✦ [**Tutorials and Recipes**](https://github.com/lancedb/vectordb-recipes/tree/main) ✦ [**Contributors**](#contributors)
**The ultimate multimodal data platform for AI/ML applications.**
@@ -57,7 +51,7 @@ LanceDB is a central location where developers can build, train and analyze thei
## **How to Install**:
Follow the [Quickstart](https://docs.lancedb.com/quickstart) doc to set up LanceDB locally.
Follow the [Quickstart](https://lancedb.com/docs/quickstart/) doc to set up LanceDB locally.
**API & SDK:** We also support Python, Typescript and Rust SDKs

172
deny.toml
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@@ -1,172 +0,0 @@
# cargo-deny configuration for LanceDB.
#
# Run locally with `cargo deny check`. See
# https://embarkstudios.github.io/cargo-deny/ for the full reference.
# The set of target triples we care about. cargo-deny will only consider
# dependencies that are used on at least one of these targets. Keeping this
# explicit avoids noise from platform-specific crates (e.g. wasm, android,
# ios) that we never actually ship.
[graph]
targets = [
"x86_64-unknown-linux-gnu",
"aarch64-unknown-linux-gnu",
"x86_64-apple-darwin",
"aarch64-apple-darwin",
"x86_64-pc-windows-msvc",
"aarch64-pc-windows-msvc",
]
all-features = true
[output]
feature-depth = 1
# ---------------------------------------------------------------------------
# Advisories: security vulnerabilities and yanked crates.
# ---------------------------------------------------------------------------
[advisories]
version = 2
# Fail the check if any crate in the lockfile has been yanked from crates.io.
# Yanked crates are a signal the author retracted the release (often due to
# bugs or security issues) and should not be depended on.
yanked = "deny"
# Advisory IDs we have explicitly reviewed and chosen to accept. Every
# entry must include a rationale and, where possible, an upstream issue
# pointing to a fix. Revisit this list whenever dependencies are updated.
ignore = [
# rsa: Marvin Attack timing side-channel in PKCS#1 v1.5 decryption.
# Reached only through opendal → reqsign → rsa. We do not use RSA
# decryption in LanceDB ourselves; this is dormant in the signing path.
# No fixed release exists upstream as of this writing.
# https://rustsec.org/advisories/RUSTSEC-2023-0071
{ id = "RUSTSEC-2023-0071", reason = "rsa crate via opendal/reqsign; no fixed upstream release" },
# instant: unmaintained. Pulled in via backoff → instant. Upstream
# recommends switching to `web-time`; fix has to come from backoff.
# https://rustsec.org/advisories/RUSTSEC-2024-0384
{ id = "RUSTSEC-2024-0384", reason = "transitive via backoff; waiting on backoff replacement" },
# paste: unmaintained (author archived the repo). Used transitively by
# datafusion and the arrow ecosystem; widespread, no drop-in replacement.
# https://rustsec.org/advisories/RUSTSEC-2024-0436
{ id = "RUSTSEC-2024-0436", reason = "transitive via datafusion; awaiting ecosystem migration" },
# tantivy: segfault on malformed input due to missing bounds check.
# Pulled in via lance for full-text search. We only feed tantivy
# documents we construct ourselves, not attacker-controlled bytes.
# Tracked for a lance dependency bump.
# https://rustsec.org/advisories/RUSTSEC-2025-0003
{ id = "RUSTSEC-2025-0003", reason = "tantivy via lance; inputs are internally produced, not user-supplied bytes" },
# backoff: unmaintained. Reached only via async-openai. Replacement
# requires async-openai to migrate (or us to drop async-openai).
# https://rustsec.org/advisories/RUSTSEC-2025-0012
{ id = "RUSTSEC-2025-0012", reason = "transitive via async-openai; waiting on upstream migration" },
# number_prefix: unmaintained. Transitive via indicatif → hf-hub.
# No security impact, just maintenance status.
# https://rustsec.org/advisories/RUSTSEC-2025-0119
{ id = "RUSTSEC-2025-0119", reason = "transitive via hf-hub/indicatif; cosmetic formatting crate" },
# rustls-pemfile: unmaintained. Reached from two separate chains:
# rustls-native-certs 0.6 (via hyper-rustls 0.24) and object_store 0.12.
# Both upstream dependencies need to move before we can drop it.
# https://rustsec.org/advisories/RUSTSEC-2025-0134
{ id = "RUSTSEC-2025-0134", reason = "transitive via rustls-native-certs/object_store; waiting on upstream migration" },
# rustls-webpki 0.101.7 (old major line): name-constraint checks for
# URI / wildcard names. Pulled in only via the legacy rustls 0.21 chain
# from aws-smithy-http-client. The 0.103 line we actively use is patched.
# Clearing the 0.101 copy requires the aws-sdk chain to migrate off
# rustls 0.21.
# https://rustsec.org/advisories/RUSTSEC-2026-0098
# https://rustsec.org/advisories/RUSTSEC-2026-0099
{ id = "RUSTSEC-2026-0098", reason = "only affects rustls-webpki 0.101 from legacy aws-smithy/rustls 0.21 chain" },
{ id = "RUSTSEC-2026-0099", reason = "only affects rustls-webpki 0.101 from legacy aws-smithy/rustls 0.21 chain" },
# rustls-webpki 0.101.7: reachable panic in CRL parsing. Same legacy
# rustls 0.21 chain from aws-smithy-http-client as above. The 0.103 line
# we actively use is upgraded to 0.103.13 which contains the fix.
# https://rustsec.org/advisories/RUSTSEC-2026-0104
{ id = "RUSTSEC-2026-0104", reason = "only affects rustls-webpki 0.101 from legacy aws-smithy/rustls 0.21 chain" },
]
# ---------------------------------------------------------------------------
# Licenses: only allow licenses we've reviewed as compatible with Apache-2.0.
# ---------------------------------------------------------------------------
[licenses]
version = 2
# SPDX identifiers for licenses that are compatible with our Apache-2.0
# distribution. Additions require legal review.
allow = [
"Apache-2.0",
"Apache-2.0 WITH LLVM-exception",
"MIT",
"BSD-2-Clause",
"BSD-3-Clause",
"ISC",
"Unicode-3.0",
"Unicode-DFS-2016",
"Zlib",
"CC0-1.0",
"MPL-2.0",
"BSL-1.0",
"OpenSSL",
# 0BSD ("BSD Zero Clause") is effectively public domain — no attribution
# required. Pulled in by `mock_instant`.
"0BSD",
# bzip2-1.0.6 is the permissive upstream bzip2 license (BSD-like). Pulled
# in by `libbz2-rs-sys`, the pure-Rust bzip2 implementation.
"bzip2-1.0.6",
# CDLA-Permissive-2.0 is a permissive data license used by `webpki-roots`
# for the Mozilla CA root bundle. Data-only, distribution-compatible.
"CDLA-Permissive-2.0",
]
confidence-threshold = 0.8
# Crates whose license cannot be determined from Cargo metadata but whose
# license we've manually confirmed from upstream. Keep this list minimal.
[[licenses.clarify]]
# polars-arrow-format omits the `license` field in its Cargo.toml, but the
# upstream repo (pola-rs/polars-arrow-format) is dual-licensed Apache-2.0 OR
# MIT. See https://github.com/pola-rs/polars-arrow-format/blob/main/LICENSE
crate = "polars-arrow-format"
expression = "Apache-2.0 OR MIT"
license-files = []
# ---------------------------------------------------------------------------
# Bans: disallow specific crates and flag dependency hygiene issues.
# ---------------------------------------------------------------------------
[bans]
# Warn (not deny) on duplicate versions of the same crate. In a large
# workspace like this one, duplicates are common and often unavoidable
# transitively. We surface them to discourage growth, but don't fail CI.
multiple-versions = "warn"
# Wildcard version requirements (`foo = "*"`) are a footgun — they let any
# future release in without review. Ban them outright.
wildcards = "deny"
# Internal workspace crates reference each other via `path = "..."`, which
# cargo-deny sees as a wildcard version. That's fine for private workspace
# members (not published to crates.io), so allow it specifically for paths.
allow-wildcard-paths = true
# Features that, if enabled, should cause the check to fail.
deny = []
# Crates to skip when checking for duplicate versions.
skip = []
# Similar to `skip`, but also skips the entire transitive subtree.
skip-tree = []
# ---------------------------------------------------------------------------
# Sources: restrict where crates can come from.
# ---------------------------------------------------------------------------
[sources]
# Deny any registry other than the ones explicitly listed below.
unknown-registry = "deny"
# Deny any git dependency whose host isn't in the allow-list below. This
# prevents accidental pulls from arbitrary forks.
unknown-git = "deny"
allow-registry = ["https://github.com/rust-lang/crates.io-index"]
# Lance is developed in a sibling repo and pulled as a git dependency until
# releases are cut to crates.io. Allow that specific host.
allow-git = [
"https://github.com/lance-format/lance",
]

View File

@@ -24,4 +24,4 @@ RUN python --version && \
rustc --version && \
protoc --version
RUN pip install --no-cache-dir lancedb
RUN pip install --no-cache-dir tantivy lancedb

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@@ -1,6 +1,6 @@
# LanceDB Documentation
LanceDB docs are available at [docs.lancedb.com](https://docs.lancedb.com).
LanceDB docs are available at [lancedb.com/docs](https://lancedb.com/docs).
The SDK docs are built and deployed automatically by [Github Actions](../.github/workflows/docs.yml)
whenever a commit is pushed to the `main` branch. So it is possible for the docs to show

View File

@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
<dependency>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-core</artifactId>
<version>0.28.0-beta.10</version>
<version>0.27.2</version>
</dependency>
```
@@ -57,32 +57,32 @@ LanceNamespace namespaceClient = LanceDbNamespaceClientBuilder.newBuilder()
## Metadata Operations
### Creating a Namespace Path
### Creating a Namespace
Namespace paths organize tables hierarchically. Create the desired namespace path before creating tables within it:
Namespaces organize tables hierarchically. Create a namespace before creating tables within it:
```java
import org.lance.namespace.model.CreateNamespaceRequest;
import org.lance.namespace.model.CreateNamespaceResponse;
// Create a child namespace path
// Create a child namespace
CreateNamespaceRequest request = new CreateNamespaceRequest();
request.setId(Arrays.asList("my_namespace"));
CreateNamespaceResponse response = namespaceClient.createNamespace(request);
```
You can also create nested namespace paths:
You can also create nested namespaces:
```java
// Create a nested namespace path: parent/child
// Create a nested namespace: parent/child
CreateNamespaceRequest request = new CreateNamespaceRequest();
request.setId(Arrays.asList("parent_namespace", "child_namespace"));
CreateNamespaceResponse response = namespaceClient.createNamespace(request);
```
### Describing a Namespace Path
### Describing a Namespace
```java
import org.lance.namespace.model.DescribeNamespaceRequest;
@@ -95,22 +95,22 @@ DescribeNamespaceResponse response = namespaceClient.describeNamespace(request);
System.out.println("Namespace properties: " + response.getProperties());
```
### Listing Namespace Paths
### Listing Namespaces
```java
import org.lance.namespace.model.ListNamespacesRequest;
import org.lance.namespace.model.ListNamespacesResponse;
// List all namespace paths at the root level
// List all namespaces at root level
ListNamespacesRequest request = new ListNamespacesRequest();
request.setId(Arrays.asList()); // Empty for root
ListNamespacesResponse response = namespaceClient.listNamespaces(request);
for (String ns : response.getNamespaces()) {
System.out.println("Namespace path: " + ns);
System.out.println("Namespace: " + ns);
}
// List child namespace paths under a parent path
// List child namespaces under a parent
ListNamespacesRequest childRequest = new ListNamespacesRequest();
childRequest.setId(Arrays.asList("parent_namespace"));
@@ -123,7 +123,7 @@ ListNamespacesResponse childResponse = namespaceClient.listNamespaces(childReque
import org.lance.namespace.model.ListTablesRequest;
import org.lance.namespace.model.ListTablesResponse;
// List tables in a namespace path
// List tables in a namespace
ListTablesRequest request = new ListTablesRequest();
request.setId(Arrays.asList("my_namespace"));
@@ -133,7 +133,7 @@ for (String table : response.getTables()) {
}
```
### Dropping a Namespace Path
### Dropping a Namespace
```java
import org.lance.namespace.model.DropNamespaceRequest;
@@ -175,7 +175,7 @@ DropTableResponse response = namespaceClient.dropTable(request);
### Creating a Table
Tables are created within a namespace path by providing data in Apache Arrow IPC format:
Tables are created within a namespace by providing data in Apache Arrow IPC format:
```java
import org.lance.namespace.LanceNamespace;
@@ -242,7 +242,7 @@ try (BufferAllocator allocator = new RootAllocator();
}
byte[] tableData = out.toByteArray();
// Create a table in a namespace path
// Create table in a namespace
CreateTableRequest request = new CreateTableRequest();
request.setId(Arrays.asList("my_namespace", "my_table"));
CreateTableResponse response = namespaceClient.createTable(request, tableData);

View File

@@ -34,7 +34,7 @@ const results = await table.vectorSearch([0.1, 0.3]).limit(20).toArray();
console.log(results);
```
The [quickstart](https://docs.lancedb.com/quickstart/) contains more complete examples.
The [quickstart](https://lancedb.com/docs/quickstart/basic-usage/) contains more complete examples.
## Development

View File

@@ -61,8 +61,8 @@ sharing the same data, deletion, and index files.
* **options.sourceVersion?**: `number`
The version of the source table to clone.
* **options.targetNamespacePath?**: `string`[]
The namespace path for the target table (defaults to root namespace).
* **options.targetNamespace?**: `string`[]
The namespace for the target table (defaults to root namespace).
#### Returns
@@ -116,13 +116,13 @@ Creates a new empty Table
`Promise`&lt;[`Table`](Table.md)&gt;
#### createEmptyTable(name, schema, namespacePath, options)
#### createEmptyTable(name, schema, namespace, options)
```ts
abstract createEmptyTable(
name,
schema,
namespacePath?,
namespace?,
options?): Promise<Table>
```
@@ -136,8 +136,8 @@ Creates a new empty Table
* **schema**: [`SchemaLike`](../type-aliases/SchemaLike.md)
The schema of the table
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
* **options?**: `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
Additional options
@@ -150,10 +150,10 @@ Creates a new empty Table
### createTable()
#### createTable(options, namespacePath)
#### createTable(options, namespace)
```ts
abstract createTable(options, namespacePath?): Promise<Table>
abstract createTable(options, namespace?): Promise<Table>
```
Creates a new Table and initialize it with new data.
@@ -163,8 +163,8 @@ Creates a new Table and initialize it with new data.
* **options**: `object` & `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
The options object.
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
##### Returns
@@ -197,13 +197,13 @@ Creates a new Table and initialize it with new data.
`Promise`&lt;[`Table`](Table.md)&gt;
#### createTable(name, data, namespacePath, options)
#### createTable(name, data, namespace, options)
```ts
abstract createTable(
name,
data,
namespacePath?,
namespace?,
options?): Promise<Table>
```
@@ -218,8 +218,8 @@ Creates a new Table and initialize it with new data.
Non-empty Array of Records
to be inserted into the table
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
* **options?**: `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
Additional options
@@ -247,15 +247,15 @@ Return a brief description of the connection
### dropAllTables()
```ts
abstract dropAllTables(namespacePath?): Promise<void>
abstract dropAllTables(namespace?): Promise<void>
```
Drop all tables in the database.
#### Parameters
* **namespacePath?**: `string`[]
The namespace path to drop tables from (defaults to root namespace).
* **namespace?**: `string`[]
The namespace to drop tables from (defaults to root namespace).
#### Returns
@@ -266,7 +266,7 @@ Drop all tables in the database.
### dropTable()
```ts
abstract dropTable(name, namespacePath?): Promise<void>
abstract dropTable(name, namespace?): Promise<void>
```
Drop an existing table.
@@ -276,8 +276,8 @@ Drop an existing table.
* **name**: `string`
The name of the table to drop.
* **namespacePath?**: `string`[]
The namespace path of the table (defaults to root namespace).
* **namespace?**: `string`[]
The namespace of the table (defaults to root namespace).
#### Returns
@@ -304,7 +304,7 @@ Return true if the connection has not been closed
```ts
abstract openTable(
name,
namespacePath?,
namespace?,
options?): Promise<Table>
```
@@ -315,8 +315,8 @@ Open a table in the database.
* **name**: `string`
The name of the table
* **namespacePath?**: `string`[]
The namespace path of the table (defaults to root namespace)
* **namespace?**: `string`[]
The namespace of the table (defaults to root namespace)
* **options?**: `Partial`&lt;[`OpenTableOptions`](../interfaces/OpenTableOptions.md)&gt;
Additional options
@@ -349,10 +349,10 @@ Tables will be returned in lexicographical order.
`Promise`&lt;`string`[]&gt;
#### tableNames(namespacePath, options)
#### tableNames(namespace, options)
```ts
abstract tableNames(namespacePath?, options?): Promise<string[]>
abstract tableNames(namespace?, options?): Promise<string[]>
```
List all the table names in this database.
@@ -361,8 +361,8 @@ Tables will be returned in lexicographical order.
##### Parameters
* **namespacePath?**: `string`[]
The namespace path to list tables from (defaults to root namespace)
* **namespace?**: `string`[]
The namespace to list tables from (defaults to root namespace)
* **options?**: `Partial`&lt;[`TableNamesOptions`](../interfaces/TableNamesOptions.md)&gt;
options to control the

View File

@@ -53,18 +53,3 @@ optional tlsConfig: TlsConfig;
```ts
optional userAgent: string;
```
***
### userId?
```ts
optional userId: string;
```
User identifier for tracking purposes.
This is sent as the `x-lancedb-user-id` header in requests to LanceDB Cloud/Enterprise.
It can be set directly, or via the `LANCEDB_USER_ID` environment variable.
Alternatively, set `LANCEDB_USER_ID_ENV_KEY` to specify another environment
variable that contains the user ID value.

View File

@@ -41,29 +41,6 @@ for testing purposes.
***
### manifestEnabled?
```ts
optional manifestEnabled: boolean;
```
(For LanceDB OSS only): use directory namespace manifests as the source
of truth for table metadata. Existing directory-listed root tables are
migrated into the manifest on access.
***
### namespaceClientProperties?
```ts
optional namespaceClientProperties: Record<string, string>;
```
(For LanceDB OSS only): extra properties for the backing namespace
client used by manifest-enabled native connections.
***
### readConsistencyInterval?
```ts
@@ -112,4 +89,4 @@ optional storageOptions: Record<string, string>;
(For LanceDB OSS only): configuration for object storage.
The available options are described at https://docs.lancedb.com/storage/
The available options are described at https://lancedb.com/docs/storage/

View File

@@ -97,4 +97,4 @@ Configuration for object storage.
Options already set on the connection will be inherited by the table,
but can be overridden here.
The available options are described at https://docs.lancedb.com/storage/
The available options are described at https://lancedb.com/docs/storage/

View File

@@ -42,4 +42,4 @@ Configuration for object storage.
Options already set on the connection will be inherited by the table,
but can be overridden here.
The available options are described at https://docs.lancedb.com/storage/
The available options are described at https://lancedb.com/docs/storage/

View File

@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.28.0-beta.10</version>
<version>0.27.2-final.0</version>
<relativePath>../pom.xml</relativePath>
</parent>

View File

@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.28.0-beta.10</version>
<version>0.27.2-final.0</version>
<packaging>pom</packaging>
<name>${project.artifactId}</name>
<description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<arrow.version>15.0.0</arrow.version>
<lance-core.version>6.0.0-beta.4</lance-core.version>
<lance-core.version>3.0.1</lance-core.version>
<spotless.skip>false</spotless.skip>
<spotless.version>2.30.0</spotless.version>
<spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>

View File

@@ -1,8 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.28.0-beta.10"
publish = false
version = "0.27.2"
license.workspace = true
description.workspace = true
repository.workspace = true
@@ -32,8 +31,8 @@ lzma-sys = { version = "0.1", features = ["static"] }
log.workspace = true
# Pin to resolve build failures; update periodically for security patches.
aws-lc-sys = "=0.40.0"
aws-lc-rs = "=1.16.3"
aws-lc-sys = "=0.38.0"
aws-lc-rs = "=1.16.1"
[build-dependencies]
napi-build = "2.3.1"

View File

@@ -30,7 +30,7 @@ const results = await table.vectorSearch([0.1, 0.3]).limit(20).toArray();
console.log(results);
```
The [quickstart](https://docs.lancedb.com/quickstart/) contains more complete examples.
The [quickstart](https://lancedb.com/docs/quickstart/basic-usage/) contains more complete examples.
## Development

View File

@@ -1,8 +1,6 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import { spawn } from "node:child_process";
import * as path from "node:path";
import { RecordBatch } from "apache-arrow";
import * as tmp from "tmp";
import { Connection, Index, Table, connect, makeArrowTable } from "../lancedb";
@@ -78,91 +76,4 @@ describe("rerankers", function () {
expect(result).toHaveLength(2);
});
it("does not keep process alive after rerank query", async function () {
const script = `
import * as lancedb from "./dist/index.js";
import * as os from "node:os";
import * as path from "node:path";
import * as fs from "node:fs/promises";
const dir = await fs.mkdtemp(path.join(os.tmpdir(), "lancedb-rerank-exit-"));
const db = await lancedb.connect(dir);
const table = await db.createTable("test", [{ text: "hello", vector: [1, 2, 3] }], {
mode: "overwrite",
});
await table.createIndex("text", { config: lancedb.Index.fts() });
await table.waitForIndex(["text_idx"], 30);
const reranker = await lancedb.rerankers.RRFReranker.create();
await table
.query()
.nearestTo([1, 2, 3])
.fullTextSearch("hello")
.rerank(reranker)
.toArray();
table.close();
db.close();
`;
await new Promise<void>((resolve, reject) => {
const child = spawn(
process.execPath,
["--input-type=module", "-e", script],
{
cwd: path.resolve(__dirname, ".."),
stdio: ["ignore", "pipe", "pipe"],
},
);
let stdout = "";
let stderr = "";
child.stdout.on("data", (chunk) => {
stdout += chunk.toString();
});
child.stderr.on("data", (chunk) => {
stderr += chunk.toString();
});
const timeout = setTimeout(() => {
child.kill();
reject(
new Error(
`child process did not exit in time\nstdout:\n${stdout}\nstderr:\n${stderr}`,
),
);
}, 20_000);
child.on("error", (err) => {
clearTimeout(timeout);
reject(err);
});
child.on("exit", (code, signal) => {
clearTimeout(timeout);
if (signal !== null) {
reject(
new Error(
`child process exited with signal ${signal}\nstdout:\n${stdout}\nstderr:\n${stderr}`,
),
);
return;
}
if (code !== 0) {
reject(
new Error(
`child process exited with code ${code}\nstdout:\n${stdout}\nstderr:\n${stderr}`,
),
);
return;
}
resolve();
});
});
});
});

View File

@@ -103,7 +103,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
},
numIndices: 0,
numRows: 3,
totalBytes: 44,
totalBytes: 24,
});
});

View File

@@ -42,7 +42,7 @@ export interface CreateTableOptions {
* Options already set on the connection will be inherited by the table,
* but can be overridden here.
*
* The available options are described at https://docs.lancedb.com/storage/
* The available options are described at https://lancedb.com/docs/storage/
*/
storageOptions?: Record<string, string>;
@@ -78,7 +78,7 @@ export interface OpenTableOptions {
* Options already set on the connection will be inherited by the table,
* but can be overridden here.
*
* The available options are described at https://docs.lancedb.com/storage/
* The available options are described at https://lancedb.com/docs/storage/
*/
storageOptions?: Record<string, string>;
/**
@@ -166,25 +166,25 @@ export abstract class Connection {
* List all the table names in this database.
*
* Tables will be returned in lexicographical order.
* @param {string[]} namespacePath - The namespace path to list tables from (defaults to root namespace)
* @param {string[]} namespace - The namespace to list tables from (defaults to root namespace)
* @param {Partial<TableNamesOptions>} options - options to control the
* paging / start point
*
*/
abstract tableNames(
namespacePath?: string[],
namespace?: string[],
options?: Partial<TableNamesOptions>,
): Promise<string[]>;
/**
* Open a table in the database.
* @param {string} name - The name of the table
* @param {string[]} namespacePath - The namespace path of the table (defaults to root namespace)
* @param {string[]} namespace - The namespace of the table (defaults to root namespace)
* @param {Partial<OpenTableOptions>} options - Additional options
*/
abstract openTable(
name: string,
namespacePath?: string[],
namespace?: string[],
options?: Partial<OpenTableOptions>,
): Promise<Table>;
@@ -193,7 +193,7 @@ export abstract class Connection {
* @param {object} options - The options object.
* @param {string} options.name - The name of the table.
* @param {Data} options.data - Non-empty Array of Records to be inserted into the table
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
*
*/
abstract createTable(
@@ -201,7 +201,7 @@ export abstract class Connection {
name: string;
data: Data;
} & Partial<CreateTableOptions>,
namespacePath?: string[],
namespace?: string[],
): Promise<Table>;
/**
* Creates a new Table and initialize it with new data.
@@ -220,13 +220,13 @@ export abstract class Connection {
* @param {string} name - The name of the table.
* @param {Record<string, unknown>[] | TableLike} data - Non-empty Array of Records
* to be inserted into the table
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
* @param {Partial<CreateTableOptions>} options - Additional options
*/
abstract createTable(
name: string,
data: Record<string, unknown>[] | TableLike,
namespacePath?: string[],
namespace?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table>;
@@ -245,28 +245,28 @@ export abstract class Connection {
* Creates a new empty Table
* @param {string} name - The name of the table.
* @param {Schema} schema - The schema of the table
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
* @param {Partial<CreateTableOptions>} options - Additional options
*/
abstract createEmptyTable(
name: string,
schema: import("./arrow").SchemaLike,
namespacePath?: string[],
namespace?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table>;
/**
* Drop an existing table.
* @param {string} name The name of the table to drop.
* @param {string[]} namespacePath The namespace path of the table (defaults to root namespace).
* @param {string[]} namespace The namespace of the table (defaults to root namespace).
*/
abstract dropTable(name: string, namespacePath?: string[]): Promise<void>;
abstract dropTable(name: string, namespace?: string[]): Promise<void>;
/**
* Drop all tables in the database.
* @param {string[]} namespacePath The namespace path to drop tables from (defaults to root namespace).
* @param {string[]} namespace The namespace to drop tables from (defaults to root namespace).
*/
abstract dropAllTables(namespacePath?: string[]): Promise<void>;
abstract dropAllTables(namespace?: string[]): Promise<void>;
/**
* Clone a table from a source table.
@@ -279,7 +279,7 @@ export abstract class Connection {
* @param {string} targetTableName - The name of the target table to create.
* @param {string} sourceUri - The URI of the source table to clone from.
* @param {object} options - Clone options.
* @param {string[]} options.targetNamespacePath - The namespace path for the target table (defaults to root namespace).
* @param {string[]} options.targetNamespace - The namespace for the target table (defaults to root namespace).
* @param {number} options.sourceVersion - The version of the source table to clone.
* @param {string} options.sourceTag - The tag of the source table to clone.
* @param {boolean} options.isShallow - Whether to perform a shallow clone (defaults to true).
@@ -288,7 +288,7 @@ export abstract class Connection {
targetTableName: string,
sourceUri: string,
options?: {
targetNamespacePath?: string[];
targetNamespace?: string[];
sourceVersion?: number;
sourceTag?: string;
isShallow?: boolean;
@@ -319,25 +319,25 @@ export class LocalConnection extends Connection {
}
async tableNames(
namespacePathOrOptions?: string[] | Partial<TableNamesOptions>,
namespaceOrOptions?: string[] | Partial<TableNamesOptions>,
options?: Partial<TableNamesOptions>,
): Promise<string[]> {
// Detect if first argument is namespacePath array or options object
let namespacePath: string[] | undefined;
// Detect if first argument is namespace array or options object
let namespace: string[] | undefined;
let tableNamesOptions: Partial<TableNamesOptions> | undefined;
if (Array.isArray(namespacePathOrOptions)) {
// First argument is namespacePath array
namespacePath = namespacePathOrOptions;
if (Array.isArray(namespaceOrOptions)) {
// First argument is namespace array
namespace = namespaceOrOptions;
tableNamesOptions = options;
} else {
// First argument is options object (backwards compatibility)
namespacePath = undefined;
tableNamesOptions = namespacePathOrOptions;
namespace = undefined;
tableNamesOptions = namespaceOrOptions;
}
return this.inner.tableNames(
namespacePath ?? [],
namespace ?? [],
tableNamesOptions?.startAfter,
tableNamesOptions?.limit,
);
@@ -345,12 +345,12 @@ export class LocalConnection extends Connection {
async openTable(
name: string,
namespacePath?: string[],
namespace?: string[],
options?: Partial<OpenTableOptions>,
): Promise<Table> {
const innerTable = await this.inner.openTable(
name,
namespacePath ?? [],
namespace ?? [],
cleanseStorageOptions(options?.storageOptions),
options?.indexCacheSize,
);
@@ -362,7 +362,7 @@ export class LocalConnection extends Connection {
targetTableName: string,
sourceUri: string,
options?: {
targetNamespacePath?: string[];
targetNamespace?: string[];
sourceVersion?: number;
sourceTag?: string;
isShallow?: boolean;
@@ -371,7 +371,7 @@ export class LocalConnection extends Connection {
const innerTable = await this.inner.cloneTable(
targetTableName,
sourceUri,
options?.targetNamespacePath ?? [],
options?.targetNamespace ?? [],
options?.sourceVersion ?? null,
options?.sourceTag ?? null,
options?.isShallow ?? true,
@@ -406,42 +406,42 @@ export class LocalConnection extends Connection {
nameOrOptions:
| string
| ({ name: string; data: Data } & Partial<CreateTableOptions>),
dataOrNamespacePath?: Record<string, unknown>[] | TableLike | string[],
namespacePathOrOptions?: string[] | Partial<CreateTableOptions>,
dataOrNamespace?: Record<string, unknown>[] | TableLike | string[],
namespaceOrOptions?: string[] | Partial<CreateTableOptions>,
options?: Partial<CreateTableOptions>,
): Promise<Table> {
if (typeof nameOrOptions !== "string" && "name" in nameOrOptions) {
// First overload: createTable(options, namespacePath?)
// First overload: createTable(options, namespace?)
const { name, data, ...createOptions } = nameOrOptions;
const namespacePath = dataOrNamespacePath as string[] | undefined;
return this._createTableImpl(name, data, namespacePath, createOptions);
const namespace = dataOrNamespace as string[] | undefined;
return this._createTableImpl(name, data, namespace, createOptions);
}
// Second overload: createTable(name, data, namespacePath?, options?)
// Second overload: createTable(name, data, namespace?, options?)
const name = nameOrOptions;
const data = dataOrNamespacePath as Record<string, unknown>[] | TableLike;
const data = dataOrNamespace as Record<string, unknown>[] | TableLike;
// Detect if third argument is namespacePath array or options object
let namespacePath: string[] | undefined;
// Detect if third argument is namespace array or options object
let namespace: string[] | undefined;
let createOptions: Partial<CreateTableOptions> | undefined;
if (Array.isArray(namespacePathOrOptions)) {
// Third argument is namespacePath array
namespacePath = namespacePathOrOptions;
if (Array.isArray(namespaceOrOptions)) {
// Third argument is namespace array
namespace = namespaceOrOptions;
createOptions = options;
} else {
// Third argument is options object (backwards compatibility)
namespacePath = undefined;
createOptions = namespacePathOrOptions;
namespace = undefined;
createOptions = namespaceOrOptions;
}
return this._createTableImpl(name, data, namespacePath, createOptions);
return this._createTableImpl(name, data, namespace, createOptions);
}
private async _createTableImpl(
name: string,
data: Data,
namespacePath?: string[],
namespace?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table> {
if (data === undefined) {
@@ -455,7 +455,7 @@ export class LocalConnection extends Connection {
name,
buf,
mode,
namespacePath ?? [],
namespace ?? [],
storageOptions,
);
@@ -465,21 +465,21 @@ export class LocalConnection extends Connection {
async createEmptyTable(
name: string,
schema: import("./arrow").SchemaLike,
namespacePathOrOptions?: string[] | Partial<CreateTableOptions>,
namespaceOrOptions?: string[] | Partial<CreateTableOptions>,
options?: Partial<CreateTableOptions>,
): Promise<Table> {
// Detect if third argument is namespacePath array or options object
let namespacePath: string[] | undefined;
// Detect if third argument is namespace array or options object
let namespace: string[] | undefined;
let createOptions: Partial<CreateTableOptions> | undefined;
if (Array.isArray(namespacePathOrOptions)) {
// Third argument is namespacePath array
namespacePath = namespacePathOrOptions;
if (Array.isArray(namespaceOrOptions)) {
// Third argument is namespace array
namespace = namespaceOrOptions;
createOptions = options;
} else {
// Third argument is options object (backwards compatibility)
namespacePath = undefined;
createOptions = namespacePathOrOptions;
namespace = undefined;
createOptions = namespaceOrOptions;
}
let mode: string = createOptions?.mode ?? "create";
@@ -502,18 +502,18 @@ export class LocalConnection extends Connection {
name,
buf,
mode,
namespacePath ?? [],
namespace ?? [],
storageOptions,
);
return new LocalTable(innerTable);
}
async dropTable(name: string, namespacePath?: string[]): Promise<void> {
return this.inner.dropTable(name, namespacePath ?? []);
async dropTable(name: string, namespace?: string[]): Promise<void> {
return this.inner.dropTable(name, namespace ?? []);
}
async dropAllTables(namespacePath?: string[]): Promise<void> {
return this.inner.dropAllTables(namespacePath ?? []);
async dropAllTables(namespace?: string[]): Promise<void> {
return this.inner.dropAllTables(namespace ?? []);
}
}

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": [
"win32"
],

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",

View File

@@ -1,12 +1,12 @@
{
"name": "@lancedb/lancedb",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@lancedb/lancedb",
"version": "0.28.0-beta.10",
"version": "0.27.2",
"cpu": [
"x64",
"arm64"

View File

@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.28.0-beta.10",
"version": "0.27.2",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",

View File

@@ -67,12 +67,6 @@ impl Connection {
builder = builder.storage_option(key, value);
}
}
if let Some(manifest_enabled) = options.manifest_enabled {
builder = builder.manifest_enabled(manifest_enabled);
}
if let Some(namespace_client_properties) = options.namespace_client_properties {
builder = builder.namespace_client_properties(namespace_client_properties);
}
// Create client config, optionally with header provider
let client_config = options.client_config.unwrap_or_default();
@@ -125,12 +119,12 @@ impl Connection {
#[napi(catch_unwind)]
pub async fn table_names(
&self,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
start_after: Option<String>,
limit: Option<u32>,
) -> napi::Result<Vec<String>> {
let mut op = self.get_inner()?.table_names();
op = op.namespace(namespace_path.unwrap_or_default());
op = op.namespace(namespace);
if let Some(start_after) = start_after {
op = op.start_after(start_after);
}
@@ -152,7 +146,7 @@ impl Connection {
name: String,
buf: Buffer,
mode: String,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
) -> napi::Result<Table> {
let batches = ipc_file_to_batches(buf.to_vec())
@@ -160,7 +154,7 @@ impl Connection {
let mode = Self::parse_create_mode_str(&mode)?;
let mut builder = self.get_inner()?.create_table(&name, batches).mode(mode);
builder = builder.namespace(namespace_path.unwrap_or_default());
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -177,7 +171,7 @@ impl Connection {
name: String,
schema_buf: Buffer,
mode: String,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
) -> napi::Result<Table> {
let schema = ipc_file_to_schema(schema_buf.to_vec()).map_err(|e| {
@@ -189,7 +183,7 @@ impl Connection {
.create_empty_table(&name, schema)
.mode(mode);
builder = builder.namespace(namespace_path.unwrap_or_default());
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -204,13 +198,13 @@ impl Connection {
pub async fn open_table(
&self,
name: String,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
index_cache_size: Option<u32>,
) -> napi::Result<Table> {
let mut builder = self.get_inner()?.open_table(&name);
builder = builder.namespace(namespace_path.unwrap_or_default());
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -229,7 +223,7 @@ impl Connection {
&self,
target_table_name: String,
source_uri: String,
target_namespace_path: Option<Vec<String>>,
target_namespace: Vec<String>,
source_version: Option<i64>,
source_tag: Option<String>,
is_shallow: bool,
@@ -238,7 +232,7 @@ impl Connection {
.get_inner()?
.clone_table(&target_table_name, &source_uri);
builder = builder.target_namespace(target_namespace_path.unwrap_or_default());
builder = builder.target_namespace(target_namespace);
if let Some(version) = source_version {
builder = builder.source_version(version as u64);
@@ -256,21 +250,18 @@ impl Connection {
/// Drop table with the name. Or raise an error if the table does not exist.
#[napi(catch_unwind)]
pub async fn drop_table(
&self,
name: String,
namespace_path: Option<Vec<String>>,
) -> napi::Result<()> {
let ns = namespace_path.unwrap_or_default();
pub async fn drop_table(&self, name: String, namespace: Vec<String>) -> napi::Result<()> {
self.get_inner()?
.drop_table(&name, &ns)
.drop_table(&name, &namespace)
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn drop_all_tables(&self, namespace_path: Option<Vec<String>>) -> napi::Result<()> {
let ns = namespace_path.unwrap_or_default();
self.get_inner()?.drop_all_tables(&ns).await.default_error()
pub async fn drop_all_tables(&self, namespace: Vec<String>) -> napi::Result<()> {
self.get_inner()?
.drop_all_tables(&namespace)
.await
.default_error()
}
}

View File

@@ -35,15 +35,8 @@ pub struct ConnectionOptions {
pub read_consistency_interval: Option<f64>,
/// (For LanceDB OSS only): configuration for object storage.
///
/// The available options are described at https://docs.lancedb.com/storage/
/// The available options are described at https://lancedb.com/docs/storage/
pub storage_options: Option<HashMap<String, String>>,
/// (For LanceDB OSS only): use directory namespace manifests as the source
/// of truth for table metadata. Existing directory-listed root tables are
/// migrated into the manifest on access.
pub manifest_enabled: Option<bool>,
/// (For LanceDB OSS only): extra properties for the backing namespace
/// client used by manifest-enabled native connections.
pub namespace_client_properties: Option<HashMap<String, String>>,
/// (For LanceDB OSS only): the session to use for this connection. Holds
/// shared caches and other session-specific state.
pub session: Option<session::Session>,

View File

@@ -92,13 +92,6 @@ pub struct ClientConfig {
pub extra_headers: Option<HashMap<String, String>>,
pub id_delimiter: Option<String>,
pub tls_config: Option<TlsConfig>,
/// User identifier for tracking purposes.
///
/// This is sent as the `x-lancedb-user-id` header in requests to LanceDB Cloud/Enterprise.
/// It can be set directly, or via the `LANCEDB_USER_ID` environment variable.
/// Alternatively, set `LANCEDB_USER_ID_ENV_KEY` to specify another environment
/// variable that contains the user ID value.
pub user_id: Option<String>,
}
impl From<TimeoutConfig> for lancedb::remote::TimeoutConfig {
@@ -152,7 +145,6 @@ impl From<ClientConfig> for lancedb::remote::ClientConfig {
id_delimiter: config.id_delimiter,
tls_config: config.tls_config.map(Into::into),
header_provider: None, // the header provider is set separately later
user_id: config.user_id,
}
}
}

View File

@@ -18,7 +18,6 @@ type RerankHybridFn = ThreadsafeFunction<
RerankHybridCallbackArgs,
Status,
false,
true,
>;
/// Reranker implementation that "wraps" a NodeJS Reranker implementation.
@@ -33,10 +32,7 @@ impl Reranker {
pub fn new(
rerank_hybrid: Function<RerankHybridCallbackArgs, Promise<Buffer>>,
) -> napi::Result<Self> {
let rerank_hybrid = rerank_hybrid
.build_threadsafe_function()
.weak::<true>()
.build()?;
let rerank_hybrid = rerank_hybrid.build_threadsafe_function().build()?;
Ok(Self { rerank_hybrid })
}
}

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.31.0-beta.10"
current_version = "0.30.2"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -1,7 +1,6 @@
[package]
name = "lancedb-python"
version = "0.31.0-beta.10"
publish = false
version = "0.30.2"
edition.workspace = true
description = "Python bindings for LanceDB"
license.workspace = true

View File

@@ -183,6 +183,7 @@
| stack-data | 0.6.3 | MIT License | http://github.com/alexmojaki/stack_data |
| sympy | 1.14.0 | BSD License | https://sympy.org |
| tabulate | 0.9.0 | MIT License | https://github.com/astanin/python-tabulate |
| tantivy | 0.25.1 | UNKNOWN | UNKNOWN |
| threadpoolctl | 3.6.0 | BSD License | https://github.com/joblib/threadpoolctl |
| timm | 1.0.24 | Apache Software License | https://github.com/huggingface/pytorch-image-models |
| tinycss2 | 1.4.0 | BSD License | https://www.courtbouillon.org/tinycss2 |

View File

@@ -45,7 +45,7 @@ repository = "https://github.com/lancedb/lancedb"
[project.optional-dependencies]
pylance = [
"pylance>=5.0.0b5",
"pylance>=4.0.0b7",
]
tests = [
"aiohttp>=3.9.0",
@@ -57,8 +57,9 @@ tests = [
"duckdb>=0.9.0",
"pytz>=2023.3",
"polars>=0.19, <=1.3.0",
"tantivy>=0.20.0",
"pyarrow-stubs>=16.0",
"pylance>=5.0.0b5",
"pylance>=4.0.0b7",
"requests>=2.31.0",
"datafusion>=52,<53",
]
@@ -82,7 +83,7 @@ embeddings = [
"colpali-engine>=0.3.10",
"huggingface_hub>=0.19.0",
"InstructorEmbedding>=1.0.1",
"google-genai>=1.0.0",
"google.generativeai>=0.3.0",
"boto3>=1.28.57",
"awscli>=1.44.38",
"botocore>=1.31.57",

View File

@@ -6,7 +6,7 @@ import importlib.metadata
import os
from concurrent.futures import ThreadPoolExecutor
from datetime import timedelta
from typing import Dict, Optional, Union, Any, List
from typing import Dict, Optional, Union, Any
import warnings
__version__ = importlib.metadata.version("lancedb")
@@ -15,6 +15,7 @@ from ._lancedb import connect as lancedb_connect
from .common import URI, sanitize_uri
from urllib.parse import urlparse
from .db import AsyncConnection, DBConnection, LanceDBConnection
from .io import StorageOptionsProvider
from .remote import ClientConfig
from .remote.db import RemoteDBConnection
from .expr import Expr, col, lit, func
@@ -63,7 +64,7 @@ def _check_s3_bucket_with_dots(
def connect(
uri: Optional[URI] = None,
uri: URI,
*,
api_key: Optional[str] = None,
region: str = "us-east-1",
@@ -73,19 +74,14 @@ def connect(
client_config: Union[ClientConfig, Dict[str, Any], None] = None,
storage_options: Optional[Dict[str, str]] = None,
session: Optional[Session] = None,
manifest_enabled: bool = False,
namespace_client_impl: Optional[str] = None,
namespace_client_properties: Optional[Dict[str, str]] = None,
namespace_client_pushdown_operations: Optional[List[str]] = None,
**kwargs: Any,
) -> DBConnection:
"""Connect to a LanceDB database.
Parameters
----------
uri: str or Path, optional
The uri of the database. When ``namespace_client_impl`` is provided you may
omit ``uri`` and connect through a namespace client instead.
uri: str or Path
The uri of the database.
api_key: str, optional
If presented, connect to LanceDB cloud.
Otherwise, connect to a database on file system or cloud storage.
@@ -111,29 +107,13 @@ def connect(
default configuration is used.
storage_options: dict, optional
Additional options for the storage backend. See available options at
<https://docs.lancedb.com/storage/>
manifest_enabled : bool, default False
When true for local/native connections, use directory namespace
manifests as the source of truth for table metadata. Existing
directory-listed root tables are migrated into the manifest on access.
<https://lancedb.com/docs/storage/>
session: Session, optional
(For LanceDB OSS only)
A session to use for this connection. Sessions allow you to configure
cache sizes for index and metadata caches, which can significantly
impact memory use and performance. They can also be re-used across
multiple connections to share the same cache state.
namespace_client_impl : str, optional
When provided along with ``namespace_client_properties``, ``connect``
returns a namespace-backed connection by delegating to
:func:`connect_namespace`. The value identifies which namespace
implementation to load (e.g., ``"dir"`` or ``"rest"``).
namespace_client_properties : dict, optional
Configuration to pass to the namespace client implementation. Required
when ``namespace_client_impl`` is set.
namespace_client_pushdown_operations : list[str], optional
Only used when ``namespace_client_properties`` is provided. Forwards to
:func:`connect_namespace` to control which operations are executed on the
namespace service (e.g., ``["QueryTable", "CreateTable"]``).
Examples
--------
@@ -153,48 +133,11 @@ def connect(
>>> db = lancedb.connect("db://my_database", api_key="ldb_...",
... client_config={"retry_config": {"retries": 5}})
Connect to a namespace-backed database:
>>> db = lancedb.connect(namespace_client_impl="dir",
... namespace_client_properties={"root": "/tmp/ns"})
Returns
-------
conn : DBConnection
A connection to a LanceDB database.
"""
if namespace_client_impl is not None:
if namespace_client_properties is None:
raise ValueError(
"namespace_client_properties must be provided when "
"namespace_client_impl is set"
)
if kwargs:
raise ValueError(f"Unknown keyword arguments: {kwargs}")
return connect_namespace(
namespace_client_impl,
namespace_client_properties,
read_consistency_interval=read_consistency_interval,
storage_options=storage_options,
session=session,
namespace_client_pushdown_operations=namespace_client_pushdown_operations,
)
if namespace_client_properties is not None and not manifest_enabled:
raise ValueError(
"namespace_client_impl must be provided when using "
"namespace_client_properties unless manifest_enabled=True"
)
if namespace_client_pushdown_operations is not None:
raise ValueError(
"namespace_client_pushdown_operations is only valid when "
"connecting through a namespace"
)
if uri is None:
raise ValueError(
"uri is required when not connecting through a namespace client"
)
if isinstance(uri, str) and uri.startswith("db://"):
if api_key is None:
api_key = os.environ.get("LANCEDB_API_KEY")
@@ -223,92 +166,9 @@ def connect(
read_consistency_interval=read_consistency_interval,
storage_options=storage_options,
session=session,
manifest_enabled=manifest_enabled,
namespace_client_properties=namespace_client_properties,
)
WORKER_PROPERTY_PREFIX = "_lancedb_worker_"
def _apply_worker_overrides(props: dict[str, str]) -> dict[str, str]:
"""Apply worker property overrides.
Any key starting with ``_lancedb_worker_`` is extracted, the prefix
is stripped, and the resulting key-value pair is put back into the
map (overriding the existing value if present). The original
prefixed key is removed.
"""
worker_keys = [k for k in props if k.startswith(WORKER_PROPERTY_PREFIX)]
if not worker_keys:
return props
result = dict(props)
for key in worker_keys:
value = result.pop(key)
real_key = key[len(WORKER_PROPERTY_PREFIX) :]
result[real_key] = value
return result
def deserialize_conn(
data: str,
*,
for_worker: bool = False,
) -> DBConnection:
"""Reconstruct a DBConnection from a serialized string.
The string must have been produced by
:meth:`DBConnection.serialize`.
Parameters
----------
data : str
String produced by ``serialize()``.
for_worker : bool, default False
When ``True``, any namespace client property whose key starts
with ``_lancedb_worker_`` has that prefix stripped and the
value overrides the corresponding property. For example,
``_lancedb_worker_uri`` replaces ``uri``.
Returns
-------
DBConnection
A new connection matching the serialized state.
"""
import json
parsed = json.loads(data)
connection_type = parsed.get("connection_type")
rci_secs = parsed.get("read_consistency_interval_seconds")
rci = timedelta(seconds=rci_secs) if rci_secs is not None else None
storage_options = parsed.get("storage_options")
if connection_type == "namespace":
props = dict(parsed.get("namespace_client_properties") or {})
if for_worker:
props = _apply_worker_overrides(props)
return connect_namespace(
namespace_client_impl=parsed["namespace_client_impl"],
namespace_client_properties=props,
read_consistency_interval=rci,
storage_options=storage_options,
namespace_client_pushdown_operations=parsed.get(
"namespace_client_pushdown_operations"
),
)
elif connection_type == "local":
return LanceDBConnection(
parsed["uri"],
read_consistency_interval=rci,
storage_options=storage_options,
manifest_enabled=parsed.get("manifest_enabled", False),
namespace_client_properties=parsed.get("namespace_client_properties"),
)
else:
raise ValueError(f"Unknown connection_type: {connection_type}")
async def connect_async(
uri: URI,
*,
@@ -319,8 +179,6 @@ async def connect_async(
client_config: Optional[Union[ClientConfig, Dict[str, Any]]] = None,
storage_options: Optional[Dict[str, str]] = None,
session: Optional[Session] = None,
manifest_enabled: bool = False,
namespace_client_properties: Optional[Dict[str, str]] = None,
) -> AsyncConnection:
"""Connect to a LanceDB database.
@@ -353,20 +211,13 @@ async def connect_async(
default configuration is used.
storage_options: dict, optional
Additional options for the storage backend. See available options at
<https://docs.lancedb.com/storage/>
<https://lancedb.com/docs/storage/>
session: Session, optional
(For LanceDB OSS only)
A session to use for this connection. Sessions allow you to configure
cache sizes for index and metadata caches, which can significantly
impact memory use and performance. They can also be re-used across
multiple connections to share the same cache state.
manifest_enabled : bool, default False
When true for local/native connections, use directory namespace
manifests as the source of truth for table metadata. Existing
directory-listed root tables are migrated into the manifest on access.
namespace_client_properties : dict, optional
Additional directory namespace client properties to use with
``manifest_enabled=True``.
Examples
--------
@@ -409,8 +260,6 @@ async def connect_async(
client_config,
storage_options,
session,
manifest_enabled,
namespace_client_properties,
)
)
@@ -435,6 +284,7 @@ __all__ = [
"LanceNamespaceDBConnection",
"RemoteDBConnection",
"Session",
"StorageOptionsProvider",
"Table",
"__version__",
]

View File

@@ -14,6 +14,7 @@ from .index import (
HnswSq,
FTS,
)
from .io import StorageOptionsProvider
from lance_namespace import (
ListNamespacesResponse,
CreateNamespaceResponse,
@@ -71,35 +72,35 @@ class Connection(object):
async def close(self): ...
async def list_namespaces(
self,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse: ...
async def create_namespace(
self,
namespace_path: List[str],
namespace: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse: ...
async def drop_namespace(
self,
namespace_path: List[str],
namespace: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse: ...
async def describe_namespace(
self,
namespace_path: List[str],
namespace: List[str],
) -> DescribeNamespaceResponse: ...
async def list_tables(
self,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse: ...
async def table_names(
self,
namespace_path: Optional[List[str]],
namespace: Optional[List[str]],
start_after: Optional[str],
limit: Optional[int],
) -> list[str]: ... # Deprecated: Use list_tables instead
@@ -108,8 +109,9 @@ class Connection(object):
name: str,
mode: str,
data: pa.RecordBatchReader,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
location: Optional[str] = None,
) -> Table: ...
async def create_empty_table(
@@ -117,15 +119,17 @@ class Connection(object):
name: str,
mode: str,
schema: pa.Schema,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
location: Optional[str] = None,
) -> Table: ...
async def open_table(
self,
name: str,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
) -> Table: ...
@@ -133,7 +137,7 @@ class Connection(object):
self,
target_table_name: str,
source_uri: str,
target_namespace_path: Optional[List[str]] = None,
target_namespace: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -142,18 +146,13 @@ class Connection(object):
self,
cur_name: str,
new_name: str,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
) -> None: ...
async def drop_table(
self, name: str, namespace_path: Optional[List[str]] = None
self, name: str, namespace: Optional[List[str]] = None
) -> None: ...
async def drop_all_tables(
self, namespace_path: Optional[List[str]] = None
) -> None: ...
async def namespace_client_config(
self,
) -> Dict[str, Any]: ...
async def drop_all_tables(self, namespace: Optional[List[str]] = None) -> None: ...
class Table:
def name(self) -> str: ...
@@ -242,8 +241,6 @@ async def connect(
client_config: Optional[Union[ClientConfig, Dict[str, Any]]],
storage_options: Optional[Dict[str, str]],
session: Optional[Session],
manifest_enabled: bool = False,
namespace_client_properties: Optional[Dict[str, str]] = None,
) -> Connection: ...
class RecordBatchStream:

View File

@@ -96,7 +96,7 @@ def data_to_reader(
f"Unknown data type {type(data)}. "
"Supported types: list of dicts, pandas DataFrame, polars DataFrame, "
"pyarrow Table/RecordBatch, or Pydantic models. "
"See https://docs.lancedb.com/tables/ for examples."
"See https://lancedb.com/docs/tables/ for examples."
)

File diff suppressed because it is too large Load Diff

View File

@@ -19,10 +19,10 @@ from .utils import TEXT, api_key_not_found_help
@register("gemini-text")
class GeminiText(TextEmbeddingFunction):
"""
An embedding function that uses Google's Gemini API. Requires GOOGLE_API_KEY to
An embedding function that uses the Google's Gemini API. Requires GOOGLE_API_KEY to
be set.
https://ai.google.dev/gemini-api/docs/embeddings
https://ai.google.dev/docs/embeddings_guide
Supports various tasks types:
| Task Type | Description |
@@ -46,12 +46,9 @@ class GeminiText(TextEmbeddingFunction):
Parameters
----------
name: str, default "gemini-embedding-001"
The name of the model to use. Supported models include:
- "gemini-embedding-001" (768 dimensions)
Note: The legacy "models/embedding-001" format is also supported but
"gemini-embedding-001" is recommended.
name: str, default "models/embedding-001"
The name of the model to use. See the Gemini documentation for a list of
available models.
query_task_type: str, default "retrieval_query"
Sets the task type for the queries.
@@ -80,7 +77,7 @@ class GeminiText(TextEmbeddingFunction):
"""
name: str = "gemini-embedding-001"
name: str = "models/embedding-001"
query_task_type: str = "retrieval_query"
source_task_type: str = "retrieval_document"
@@ -117,48 +114,23 @@ class GeminiText(TextEmbeddingFunction):
texts: list[str] or np.ndarray (of str)
The texts to embed
"""
from google.genai import types
if (
kwargs.get("task_type") == "retrieval_document"
): # Provide a title to use existing API design
title = "Embedding of a document"
kwargs["title"] = title
task_type = kwargs.get("task_type")
# Build content objects for embed_content
contents = []
for text in texts:
if task_type == "retrieval_document":
# Provide a title for retrieval_document task
contents.append(
{"parts": [{"text": "Embedding of a document"}, {"text": text}]}
)
else:
contents.append({"parts": [{"text": text}]})
# Build config
config_kwargs = {}
if task_type:
config_kwargs["task_type"] = task_type.upper() # API expects uppercase
# Call embed_content for each content
embeddings = []
for content in contents:
config = (
types.EmbedContentConfig(**config_kwargs) if config_kwargs else None
)
response = self.client.models.embed_content(
model=self.name,
contents=content,
config=config,
)
embeddings.append(response.embeddings[0].values)
return embeddings
return [
self.client.embed_content(model=self.name, content=text, **kwargs)[
"embedding"
]
for text in texts
]
@cached_property
def client(self):
attempt_import_or_raise("google.genai", "google-genai")
genai = attempt_import_or_raise("google.generativeai", "google.generativeai")
if not os.environ.get("GOOGLE_API_KEY"):
api_key_not_found_help("google")
from google import genai as genai_module
return genai_module.Client(api_key=os.environ.get("GOOGLE_API_KEY"))
return genai

View File

@@ -0,0 +1,201 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""Full text search index using tantivy-py"""
import os
from typing import List, Tuple, Optional
import pyarrow as pa
try:
import tantivy
except ImportError:
raise ImportError(
"Please install tantivy-py `pip install tantivy` to use the full text search feature." # noqa: E501
)
from .table import LanceTable
def create_index(
index_path: str,
text_fields: List[str],
ordering_fields: Optional[List[str]] = None,
tokenizer_name: str = "default",
) -> tantivy.Index:
"""
Create a new Index (not populated)
Parameters
----------
index_path : str
Path to the index directory
text_fields : List[str]
List of text fields to index
ordering_fields: List[str]
List of unsigned type fields to order by at search time
tokenizer_name : str, default "default"
The tokenizer to use
Returns
-------
index : tantivy.Index
The index object (not yet populated)
"""
if ordering_fields is None:
ordering_fields = []
# Declaring our schema.
schema_builder = tantivy.SchemaBuilder()
# special field that we'll populate with row_id
schema_builder.add_integer_field("doc_id", stored=True)
# data fields
for name in text_fields:
schema_builder.add_text_field(name, stored=True, tokenizer_name=tokenizer_name)
if ordering_fields:
for name in ordering_fields:
schema_builder.add_unsigned_field(name, fast=True)
schema = schema_builder.build()
os.makedirs(index_path, exist_ok=True)
index = tantivy.Index(schema, path=index_path)
return index
def populate_index(
index: tantivy.Index,
table: LanceTable,
fields: List[str],
writer_heap_size: Optional[int] = None,
ordering_fields: Optional[List[str]] = None,
) -> int:
"""
Populate an index with data from a LanceTable
Parameters
----------
index : tantivy.Index
The index object
table : LanceTable
The table to index
fields : List[str]
List of fields to index
writer_heap_size : int
The writer heap size in bytes, defaults to 1GB
Returns
-------
int
The number of rows indexed
"""
if ordering_fields is None:
ordering_fields = []
writer_heap_size = writer_heap_size or 1024 * 1024 * 1024
# first check the fields exist and are string or large string type
nested = []
for name in fields:
try:
f = table.schema.field(name) # raises KeyError if not found
except KeyError:
f = resolve_path(table.schema, name)
nested.append(name)
if not pa.types.is_string(f.type) and not pa.types.is_large_string(f.type):
raise TypeError(f"Field {name} is not a string type")
# create a tantivy writer
writer = index.writer(heap_size=writer_heap_size)
# write data into index
dataset = table.to_lance()
row_id = 0
max_nested_level = 0
if len(nested) > 0:
max_nested_level = max([len(name.split(".")) for name in nested])
for b in dataset.to_batches(columns=fields + ordering_fields):
if max_nested_level > 0:
b = pa.Table.from_batches([b])
for _ in range(max_nested_level - 1):
b = b.flatten()
for i in range(b.num_rows):
doc = tantivy.Document()
for name in fields:
value = b[name][i].as_py()
if value is not None:
doc.add_text(name, value)
for name in ordering_fields:
value = b[name][i].as_py()
if value is not None:
doc.add_unsigned(name, value)
if not doc.is_empty:
doc.add_integer("doc_id", row_id)
writer.add_document(doc)
row_id += 1
# commit changes
writer.commit()
return row_id
def resolve_path(schema, field_name: str) -> pa.Field:
"""
Resolve a nested field path to a list of field names
Parameters
----------
field_name : str
The field name to resolve
Returns
-------
List[str]
The resolved path
"""
path = field_name.split(".")
field = schema.field(path.pop(0))
for segment in path:
if pa.types.is_struct(field.type):
field = field.type.field(segment)
else:
raise KeyError(f"field {field_name} not found in schema {schema}")
return field
def search_index(
index: tantivy.Index, query: str, limit: int = 10, ordering_field=None
) -> Tuple[Tuple[int], Tuple[float]]:
"""
Search an index for a query
Parameters
----------
index : tantivy.Index
The index object
query : str
The query string
limit : int
The maximum number of results to return
Returns
-------
ids_and_score: list[tuple[int], tuple[float]]
A tuple of two tuples, the first containing the document ids
and the second containing the scores
"""
searcher = index.searcher()
query = index.parse_query(query)
# get top results
if ordering_field:
results = searcher.search(query, limit, order_by_field=ordering_field)
else:
results = searcher.search(query, limit)
if results.count == 0:
return tuple(), tuple()
return tuple(
zip(
*[
(searcher.doc(doc_address)["doc_id"][0], score)
for score, doc_address in results.hits
]
)
)

View File

@@ -2,3 +2,70 @@
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""I/O utilities and interfaces for LanceDB."""
from abc import ABC, abstractmethod
from typing import Dict
class StorageOptionsProvider(ABC):
"""Abstract base class for providing storage options to LanceDB tables.
Storage options providers enable automatic credential refresh for cloud
storage backends (e.g., AWS S3, Azure Blob Storage, GCS). When credentials
have an expiration time, the provider's fetch_storage_options() method will
be called periodically to get fresh credentials before they expire.
Example
-------
>>> class MyProvider(StorageOptionsProvider):
... def fetch_storage_options(self) -> Dict[str, str]:
... # Fetch fresh credentials from your credential manager
... return {
... "aws_access_key_id": "...",
... "aws_secret_access_key": "...",
... "expires_at_millis": "1234567890000" # Optional
... }
"""
@abstractmethod
def fetch_storage_options(self) -> Dict[str, str]:
"""Fetch fresh storage credentials.
This method is called by LanceDB when credentials need to be refreshed.
If the returned dictionary contains an "expires_at_millis" key with a
Unix timestamp in milliseconds, LanceDB will automatically refresh the
credentials before that time. If the key is not present, credentials
are assumed to not expire.
Returns
-------
Dict[str, str]
Dictionary containing cloud storage credentials and optionally an
expiration time:
- "expires_at_millis" (optional): Unix timestamp in milliseconds when
credentials expire
- Provider-specific credential keys (e.g., aws_access_key_id,
aws_secret_access_key, etc.)
Raises
------
RuntimeError
If credentials cannot be fetched or are invalid
"""
pass
def provider_id(self) -> str:
"""Return a human-readable unique identifier for this provider instance.
This identifier is used for caching and equality comparison. Two providers
with the same ID will share the same cached object store connection.
The default implementation uses the class name and string representation.
Override this method if you need custom identification logic.
Returns
-------
str
A unique identifier for this provider instance
"""
return f"{self.__class__.__name__} {{ repr: {str(self)!r} }}"

File diff suppressed because it is too large Load Diff

View File

@@ -284,8 +284,9 @@ class Permutations:
self.permutation_table = permutation_table
if permutation_table.schema.metadata is not None:
raw = permutation_table.schema.metadata.get(b"split_names")
split_names = raw.decode("utf-8") if raw is not None else None
split_names = permutation_table.schema.metadata.get(
b"split_names", None
).decode("utf-8")
if split_names is not None:
self.split_names = json.loads(split_names)
self.split_dict = {
@@ -459,8 +460,9 @@ class Permutation:
f"Cannot create a permutation on split `{split}`"
" because no split names are defined in the permutation table"
)
raw = permutation_table.schema.metadata.get(b"split_names")
split_names = raw.decode("utf-8") if raw is not None else None
split_names = permutation_table.schema.metadata.get(
b"split_names", None
).decode("utf-8")
if split_names is None:
raise ValueError(
f"Cannot create a permutation on split `{split}`"
@@ -762,35 +764,6 @@ class Permutation:
assert transform is not None, "transform is required"
return Permutation(self.reader, self.selection, self.batch_size, transform)
def map(self, fn: Callable[[dict], dict]) -> "Permutation":
"""
Apply a function to each row of the permutation, like HuggingFace
``dataset.map``.
``fn`` receives a single row as a ``dict[str, Any]`` and must return a
``dict[str, Any]``. The transformed batch is exposed as a list of dicts
(matching the default "python" format), so it works directly with
the PyTorch DataLoader's default collate.
For column-oriented or zero-copy transforms, use
[with_transform](#with_transform) which receives a ``pa.RecordBatch``.
Examples
--------
>>> import lancedb
>>> db = lancedb.connect("memory:///")
>>> tbl = db.create_table("tbl", data=[{"x": x} for x in range(5)])
>>> perm = Permutation.identity(tbl).map(lambda row: {"x": row["x"] * 2})
>>> perm.fetch([0, 1, 2])
[{'x': 0}, {'x': 2}, {'x': 4}]
"""
assert fn is not None, "fn is required"
def batch_transform(batch: pa.RecordBatch) -> list[dict]:
return [fn(row) for row in batch.to_pylist()]
return self.with_transform(batch_transform)
def __getitem__(self, index: int) -> Any:
"""
Returns a single row from the permutation by offset

View File

@@ -10,7 +10,6 @@ import sys
import types
from abc import ABC, abstractmethod
from datetime import date, datetime
from enum import Enum
from typing import (
TYPE_CHECKING,
Any,
@@ -315,19 +314,6 @@ def _pydantic_type_to_arrow_type(tp: Any, field: FieldInfo) -> pa.DataType:
return pa.list_(pa.list_(tp.value_arrow_type(), tp.dim()))
# For regular Vector
return pa.list_(tp.value_arrow_type(), tp.dim())
if _safe_issubclass(tp, Enum):
# Map Enum to the Arrow type of its value.
# For string-valued enums, use dictionary encoding for efficiency.
# For integer enums, use the native type.
# Fall back to utf8 for mixed-type or empty enums.
value_types = {type(m.value) for m in tp}
if len(value_types) == 1:
value_type = value_types.pop()
if value_type is str:
# Use dictionary encoding for string enums
return pa.dictionary(pa.int32(), pa.utf8())
return _py_type_to_arrow_type(value_type, field)
return pa.utf8()
return _py_type_to_arrow_type(tp, field)

View File

@@ -25,6 +25,7 @@ import deprecation
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
import pyarrow.fs as pa_fs
import pydantic
from lancedb.pydantic import PYDANTIC_VERSION
@@ -1525,7 +1526,9 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
return self._table._output_schema(self.to_query_object())
def to_arrow(self, *, timeout: Optional[timedelta] = None) -> pa.Table:
self._table._ensure_no_legacy_fts_index()
path, fs, exist = self._table._get_fts_index_path()
if exist:
return self.tantivy_to_arrow()
query = self._query
if self._phrase_query:
@@ -1549,6 +1552,90 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
):
raise NotImplementedError("to_batches on an FTS query")
def tantivy_to_arrow(self) -> pa.Table:
try:
import tantivy
except ImportError:
raise ImportError(
"Please install tantivy-py `pip install tantivy` to use the full text search feature." # noqa: E501
)
from .fts import search_index
# get the index path
path, fs, exist = self._table._get_fts_index_path()
# check if the index exist
if not exist:
raise FileNotFoundError(
"Fts index does not exist. "
"Please first call table.create_fts_index(['<field_names>']) to "
"create the fts index."
)
# Check that we are on local filesystem
if not isinstance(fs, pa_fs.LocalFileSystem):
raise NotImplementedError(
"Tantivy-based full text search "
"is only supported on the local filesystem"
)
# open the index
index = tantivy.Index.open(path)
# get the scores and doc ids
query = self._query
if self._phrase_query:
query = query.replace('"', "'")
query = f'"{query}"'
limit = self._limit if self._limit is not None else 10
row_ids, scores = search_index(
index, query, limit, ordering_field=self.ordering_field_name
)
if len(row_ids) == 0:
empty_schema = pa.schema([pa.field("_score", pa.float32())])
return pa.Table.from_batches([], schema=empty_schema)
scores = pa.array(scores)
output_tbl = self._table.to_lance().take(row_ids, columns=self._columns)
output_tbl = output_tbl.append_column("_score", scores)
# this needs to match vector search results which are uint64
row_ids = pa.array(row_ids, type=pa.uint64())
if self._where is not None:
tmp_name = "__lancedb__duckdb__indexer__"
output_tbl = output_tbl.append_column(
tmp_name, pa.array(range(len(output_tbl)))
)
try:
# TODO would be great to have Substrait generate pyarrow compute
# expressions or conversely have pyarrow support SQL expressions
# using Substrait
import duckdb
indexer = duckdb.sql(
f"SELECT {tmp_name} FROM output_tbl WHERE {self._where}"
).to_arrow_table()[tmp_name]
output_tbl = output_tbl.take(indexer).drop([tmp_name])
row_ids = row_ids.take(indexer)
except ImportError:
import tempfile
import lance
# TODO Use "memory://" instead once that's supported
with tempfile.TemporaryDirectory() as tmp:
ds = lance.write_dataset(output_tbl, tmp)
output_tbl = ds.to_table(filter=self._where)
indexer = output_tbl[tmp_name]
row_ids = row_ids.take(indexer)
output_tbl = output_tbl.drop([tmp_name])
if self._with_row_id:
output_tbl = output_tbl.append_column("_rowid", row_ids)
if self._reranker is not None:
output_tbl = self._reranker.rerank_fts(self._query, output_tbl)
return output_tbl
def rerank(self, reranker: Reranker) -> LanceFtsQueryBuilder:
"""Rerank the results using the specified reranker.

View File

@@ -145,33 +145,6 @@ class TlsConfig:
@dataclass
class ClientConfig:
"""Configuration for the LanceDB Cloud HTTP client.
Attributes
----------
user_agent: str
User agent string sent with requests.
retry_config: RetryConfig
Configuration for retrying failed requests.
timeout_config: Optional[TimeoutConfig]
Configuration for request timeouts.
extra_headers: Optional[dict]
Additional headers to include in requests.
id_delimiter: Optional[str]
The delimiter to use when constructing object identifiers.
tls_config: Optional[TlsConfig]
TLS/mTLS configuration for secure connections.
header_provider: Optional[HeaderProvider]
Provider for dynamic headers to be added to each request.
user_id: Optional[str]
User identifier for tracking purposes. This is sent as the
`x-lancedb-user-id` header in requests to LanceDB Cloud/Enterprise.
This can also be set via the `LANCEDB_USER_ID` environment variable.
Alternatively, set `LANCEDB_USER_ID_ENV_KEY` to specify another
environment variable that contains the user ID value.
"""
user_agent: str = f"LanceDB-Python-Client/{__version__}"
retry_config: RetryConfig = field(default_factory=RetryConfig)
timeout_config: Optional[TimeoutConfig] = field(default_factory=TimeoutConfig)
@@ -179,7 +152,6 @@ class ClientConfig:
id_delimiter: Optional[str] = None
tls_config: Optional[TlsConfig] = None
header_provider: Optional["HeaderProvider"] = None
user_id: Optional[str] = None
def __post_init__(self):
if isinstance(self.retry_config, dict):

View File

@@ -24,7 +24,6 @@ from ..common import DATA
from ..db import DBConnection, LOOP
from ..embeddings import EmbeddingFunctionConfig
from lance_namespace import (
LanceNamespace,
CreateNamespaceResponse,
DescribeNamespaceResponse,
DropNamespaceResponse,
@@ -112,7 +111,7 @@ class RemoteDBConnection(DBConnection):
@override
def list_namespaces(
self,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse:
@@ -120,7 +119,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace_path: List[str], optional
namespace: List[str], optional
The parent namespace to list namespaces in.
None or empty list represents root namespace.
page_token: str, optional
@@ -134,18 +133,18 @@ class RemoteDBConnection(DBConnection):
ListNamespacesResponse
Response containing namespace names and optional page_token for pagination.
"""
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
return LOOP.run(
self._conn.list_namespaces(
namespace_path=namespace_path, page_token=page_token, limit=limit
namespace=namespace, page_token=page_token, limit=limit
)
)
@override
def create_namespace(
self,
namespace_path: List[str],
namespace: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse:
@@ -153,7 +152,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace_path: List[str]
namespace: List[str]
The namespace identifier to create.
mode: str, optional
Creation mode - "create" (fail if exists), "exist_ok" (skip if exists),
@@ -168,14 +167,14 @@ class RemoteDBConnection(DBConnection):
"""
return LOOP.run(
self._conn.create_namespace(
namespace_path=namespace_path, mode=mode, properties=properties
namespace=namespace, mode=mode, properties=properties
)
)
@override
def drop_namespace(
self,
namespace_path: List[str],
namespace: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse:
@@ -183,7 +182,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace_path: List[str]
namespace: List[str]
The namespace identifier to drop.
mode: str, optional
Whether to skip if not exists ("SKIP") or fail ("FAIL"). Case insensitive.
@@ -197,20 +196,16 @@ class RemoteDBConnection(DBConnection):
Response containing properties and transaction_id if applicable.
"""
return LOOP.run(
self._conn.drop_namespace(
namespace_path=namespace_path, mode=mode, behavior=behavior
)
self._conn.drop_namespace(namespace=namespace, mode=mode, behavior=behavior)
)
@override
def describe_namespace(
self, namespace_path: List[str]
) -> DescribeNamespaceResponse:
def describe_namespace(self, namespace: List[str]) -> DescribeNamespaceResponse:
"""Describe a namespace.
Parameters
----------
namespace_path: List[str]
namespace: List[str]
The namespace identifier to describe.
Returns
@@ -218,12 +213,12 @@ class RemoteDBConnection(DBConnection):
DescribeNamespaceResponse
Response containing the namespace properties.
"""
return LOOP.run(self._conn.describe_namespace(namespace_path=namespace_path))
return LOOP.run(self._conn.describe_namespace(namespace=namespace))
@override
def list_tables(
self,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse:
@@ -231,7 +226,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace_path: List[str], optional
namespace: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
page_token: str, optional
@@ -245,11 +240,11 @@ class RemoteDBConnection(DBConnection):
ListTablesResponse
Response containing table names and optional page_token for pagination.
"""
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
return LOOP.run(
self._conn.list_tables(
namespace_path=namespace_path, page_token=page_token, limit=limit
namespace=namespace, page_token=page_token, limit=limit
)
)
@@ -259,7 +254,7 @@ class RemoteDBConnection(DBConnection):
page_token: Optional[str] = None,
limit: int = 10,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
) -> Iterable[str]:
"""List the names of all tables in the database.
@@ -268,7 +263,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace_path: List[str], default []
namespace: List[str], default []
The namespace to list tables in.
Empty list represents root namespace.
page_token: str
@@ -287,11 +282,11 @@ class RemoteDBConnection(DBConnection):
DeprecationWarning,
stacklevel=2,
)
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
return LOOP.run(
self._conn.table_names(
namespace_path=namespace_path, start_after=page_token, limit=limit
namespace=namespace, start_after=page_token, limit=limit
)
)
@@ -300,7 +295,7 @@ class RemoteDBConnection(DBConnection):
self,
name: str,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
index_cache_size: Optional[int] = None,
) -> Table:
@@ -310,7 +305,7 @@ class RemoteDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace_path: List[str], optional
namespace: List[str], optional
The namespace to open the table from.
None or empty list represents root namespace.
@@ -320,15 +315,15 @@ class RemoteDBConnection(DBConnection):
"""
from .table import RemoteTable
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
if index_cache_size is not None:
logging.info(
"index_cache_size is ignored in LanceDb Cloud"
" (there is no local cache to configure)"
)
table = LOOP.run(self._conn.open_table(name, namespace_path=namespace_path))
table = LOOP.run(self._conn.open_table(name, namespace=namespace))
return RemoteTable(table, self.db_name)
def clone_table(
@@ -336,7 +331,7 @@ class RemoteDBConnection(DBConnection):
target_table_name: str,
source_uri: str,
*,
target_namespace_path: Optional[List[str]] = None,
target_namespace: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -349,7 +344,7 @@ class RemoteDBConnection(DBConnection):
The name of the target table to create.
source_uri: str
The URI of the source table to clone from.
target_namespace_path: List[str], optional
target_namespace: List[str], optional
The namespace for the target table.
None or empty list represents root namespace.
source_version: int, optional
@@ -366,13 +361,13 @@ class RemoteDBConnection(DBConnection):
"""
from .table import RemoteTable
if target_namespace_path is None:
target_namespace_path = []
if target_namespace is None:
target_namespace = []
table = LOOP.run(
self._conn.clone_table(
target_table_name,
source_uri,
target_namespace_path=target_namespace_path,
target_namespace=target_namespace,
source_version=source_version,
source_tag=source_tag,
is_shallow=is_shallow,
@@ -392,7 +387,7 @@ class RemoteDBConnection(DBConnection):
exist_ok: bool = False,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
) -> Table:
"""Create a [Table][lancedb.table.Table] in the database.
@@ -400,7 +395,7 @@ class RemoteDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace_path: List[str], optional
namespace: List[str], optional
The namespace to create the table in.
None or empty list represents root namespace.
data: The data to initialize the table, *optional*
@@ -500,8 +495,8 @@ class RemoteDBConnection(DBConnection):
mode = "exist_ok"
elif not mode:
mode = "exist_ok"
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
validate_table_name(name)
if embedding_functions is not None:
logging.warning(
@@ -516,7 +511,7 @@ class RemoteDBConnection(DBConnection):
self._conn.create_table(
name,
data,
namespace_path=namespace_path,
namespace=namespace,
mode=mode,
schema=schema,
on_bad_vectors=on_bad_vectors,
@@ -526,28 +521,28 @@ class RemoteDBConnection(DBConnection):
return RemoteTable(table, self.db_name)
@override
def drop_table(self, name: str, namespace_path: Optional[List[str]] = None):
def drop_table(self, name: str, namespace: Optional[List[str]] = None):
"""Drop a table from the database.
Parameters
----------
name: str
The name of the table.
namespace_path: List[str], optional
namespace: List[str], optional
The namespace to drop the table from.
None or empty list represents root namespace.
"""
if namespace_path is None:
namespace_path = []
LOOP.run(self._conn.drop_table(name, namespace_path=namespace_path))
if namespace is None:
namespace = []
LOOP.run(self._conn.drop_table(name, namespace=namespace))
@override
def rename_table(
self,
cur_name: str,
new_name: str,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
):
"""Rename a table in the database.
@@ -558,32 +553,19 @@ class RemoteDBConnection(DBConnection):
new_name: str
The new name of the table.
"""
if cur_namespace_path is None:
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
if cur_namespace is None:
cur_namespace = []
if new_namespace is None:
new_namespace = []
LOOP.run(
self._conn.rename_table(
cur_name,
new_name,
cur_namespace_path=cur_namespace_path,
new_namespace_path=new_namespace_path,
cur_namespace=cur_namespace,
new_namespace=new_namespace,
)
)
@override
def namespace_client(self) -> LanceNamespace:
"""Get the equivalent namespace client for this connection.
Returns a RestNamespace with the same URI and authentication headers.
Returns
-------
LanceNamespace
The namespace client for this connection.
"""
return LOOP.run(self._conn.namespace_client())
async def close(self):
"""Close the connection to the database."""
self._conn.close()

View File

@@ -89,6 +89,7 @@ from .index import lang_mapping
if TYPE_CHECKING:
from .db import LanceDBConnection
from .io import StorageOptionsProvider
from ._lancedb import (
Table as LanceDBTable,
OptimizeStats,
@@ -191,7 +192,7 @@ def _into_pyarrow_reader(
f"Unknown data type {type(data)}. "
"Supported types: list of dicts, pandas DataFrame, polars DataFrame, "
"pyarrow Table/RecordBatch, or Pydantic models. "
"See https://docs.lancedb.com/tables/ for examples."
"See https://lancedb.com/docs/tables/ for examples."
)
@@ -270,17 +271,15 @@ def _sanitize_data(
reader,
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
target_schema=target_schema,
metadata=metadata,
)
if target_schema is None:
target_schema, reader = _infer_target_schema(reader)
if metadata:
target_schema = target_schema.with_metadata(
_merge_metadata(target_schema.metadata, metadata)
)
new_metadata = target_schema.metadata or {}
new_metadata.update(metadata)
target_schema = target_schema.with_metadata(new_metadata)
_validate_schema(target_schema)
reader = _cast_to_target_schema(reader, target_schema, allow_subschema)
@@ -296,7 +295,7 @@ def _cast_to_target_schema(
# pa.Table.cast expects field order not to be changed.
# Lance doesn't care about field order, so we don't need to rearrange fields
# to match the target schema. We just need to correctly cast the fields.
if reader.schema.equals(target_schema, check_metadata=True):
if reader.schema == target_schema:
# Fast path when the schemas are already the same
return reader
@@ -316,13 +315,7 @@ def _cast_to_target_schema(
def gen():
for batch in reader:
# Table but not RecordBatch has cast.
cast_batches = (
pa.Table.from_batches([batch]).cast(reordered_schema).to_batches()
)
if cast_batches:
yield pa.RecordBatch.from_arrays(
cast_batches[0].columns, schema=reordered_schema
)
yield pa.Table.from_batches([batch]).cast(reordered_schema).to_batches()[0]
return pa.RecordBatchReader.from_batches(reordered_schema, gen())
@@ -340,51 +333,37 @@ def _align_field_types(
if target_field is None:
raise ValueError(f"Field '{field.name}' not found in target schema")
if pa.types.is_struct(target_field.type):
if pa.types.is_struct(field.type):
new_type = pa.struct(
_align_field_types(
field.type.fields,
target_field.type.fields,
)
new_type = pa.struct(
_align_field_types(
field.type.fields,
target_field.type.fields,
)
else:
new_type = target_field.type
)
elif pa.types.is_list(target_field.type):
if _is_list_like(field.type):
new_type = pa.list_(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0]
)
else:
new_type = target_field.type
new_type = pa.list_(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0]
)
elif pa.types.is_large_list(target_field.type):
if _is_list_like(field.type):
new_type = pa.large_list(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0]
)
else:
new_type = target_field.type
new_type = pa.large_list(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0]
)
elif pa.types.is_fixed_size_list(target_field.type):
if _is_list_like(field.type):
new_type = pa.list_(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0],
target_field.type.list_size,
)
else:
new_type = target_field.type
new_type = pa.list_(
_align_field_types(
[field.type.value_field],
[target_field.type.value_field],
)[0],
target_field.type.list_size,
)
else:
new_type = target_field.type
new_fields.append(
pa.field(field.name, new_type, field.nullable, target_field.metadata)
)
new_fields.append(pa.field(field.name, new_type, field.nullable))
return new_fields
@@ -462,7 +441,6 @@ def sanitize_create_table(
schema = data.schema
if metadata:
metadata = _merge_metadata(schema.metadata, metadata)
schema = schema.with_metadata(metadata)
# Need to apply metadata to the data as well
if isinstance(data, pa.Table):
@@ -515,9 +493,9 @@ def _append_vector_columns(
vector columns to the table.
"""
if schema is None:
metadata = _merge_metadata(metadata)
metadata = metadata or {}
else:
metadata = _merge_metadata(schema.metadata, metadata)
metadata = schema.metadata or metadata or {}
functions = EmbeddingFunctionRegistry.get_instance().parse_functions(metadata)
if not functions:
@@ -943,26 +921,29 @@ class Table(ABC):
Parameters
----------
field_names: str or list of str
The name of the field to index. Native FTS indexes can only be
created on a single field at a time. To search over multiple text
fields, create a separate FTS index for each field.
The name(s) of the field to index.
If ``use_tantivy`` is False (default), only a single field name
(str) is supported. To index multiple fields, create a separate
FTS index for each field.
replace: bool, default False
If True, replace the existing index if it exists. Note that this is
not yet an atomic operation; the index will be temporarily
unavailable while the new index is being created.
writer_heap_size: int, default 1GB
Deprecated legacy Tantivy parameter. Any value other than the
default raises an error.
Only available with use_tantivy=True
ordering_field_names:
Deprecated legacy Tantivy parameter. Setting this raises an error.
A list of unsigned type fields to index to optionally order
results on at search time.
only available with use_tantivy=True
tokenizer_name: str, default "default"
A compatibility alias for native tokenizer configs. Can be "raw",
"default" or the 2 letter language code followed by "_stem". So
for english it would be "en_stem".
The tokenizer to use for the index. Can be "raw", "default" or the 2 letter
language code followed by "_stem". So for english it would be "en_stem".
For available languages see: https://docs.rs/tantivy/latest/tantivy/tokenizer/enum.Language.html
use_tantivy: bool, default False
Deprecated legacy Tantivy parameter. Setting this to True raises an
error.
If True, use the legacy full-text search implementation based on tantivy.
If False, use the new full-text search implementation based on lance-index.
with_position: bool, default False
Only available with use_tantivy=False
If False, do not store the positions of the terms in the text.
This can reduce the size of the index and improve indexing speed.
But it will raise an exception for phrase queries.
@@ -1743,16 +1724,6 @@ class Table(ABC):
index_exists = fs.get_file_info(path).type != pa_fs.FileType.NotFound
return (path, fs, index_exists)
def _ensure_no_legacy_fts_index(self):
path, _, exists = self._get_fts_index_path()
if exists:
raise ValueError(
"Legacy Tantivy FTS index detected at "
f"{path}. Tantivy-based FTS has been removed. "
"Delete the legacy index and recreate it with "
"table.create_fts_index(...)."
)
@abstractmethod
def uses_v2_manifest_paths(self) -> bool:
"""
@@ -1805,30 +1776,30 @@ class LanceTable(Table):
connection: "LanceDBConnection",
name: str,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
managed_versioning: Optional[bool] = None,
pushdown_operations: Optional[set] = None,
_async: AsyncTable = None,
):
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
self._conn = connection
self._namespace_path = namespace_path
self._namespace = namespace
self._location = location # Store location for use in _dataset_path
self._namespace_client = namespace_client
self._pushdown_operations = pushdown_operations or set()
if _async is not None:
self._table = _async
else:
self._table = LOOP.run(
connection._conn.open_table(
name,
namespace_path=namespace_path,
namespace=namespace,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
location=location,
namespace_client=namespace_client,
@@ -1843,13 +1814,13 @@ class LanceTable(Table):
@property
def namespace(self) -> List[str]:
"""Return the namespace path of the table."""
return self._namespace_path
return self._namespace
@property
def id(self) -> str:
"""Return the full identifier of the table (namespace$name)."""
if self._namespace_path:
return "$".join(self._namespace_path + [self.name])
if self._namespace:
return "$".join(self._namespace + [self.name])
return self.name
@classmethod
@@ -1870,26 +1841,26 @@ class LanceTable(Table):
db,
name,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
managed_versioning: Optional[bool] = None,
pushdown_operations: Optional[set] = None,
):
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
tbl = cls(
db,
name,
namespace_path=namespace_path,
namespace=namespace,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
location=location,
namespace_client=namespace_client,
managed_versioning=managed_versioning,
pushdown_operations=pushdown_operations,
)
# check the dataset exists
@@ -1922,11 +1893,11 @@ class LanceTable(Table):
)
if self._namespace_client is not None:
table_id = self._namespace_path + [self.name]
table_id = self._namespace + [self.name]
return lance.dataset(
version=self.version,
storage_options=self._conn.storage_options,
namespace_client=self._namespace_client,
namespace=self._namespace_client,
table_id=table_id,
**kwargs,
)
@@ -2412,63 +2383,84 @@ class LanceTable(Table):
prefix_only: bool = False,
name: Optional[str] = None,
):
self._ensure_no_legacy_fts_index()
if not use_tantivy:
if not isinstance(field_names, str):
raise ValueError(
"Native FTS indexes can only be created on a single field "
"at a time. To search over multiple text fields, create a "
"separate FTS index for each field."
)
if use_tantivy:
raise ValueError(
"Tantivy-based FTS has been removed. "
"Remove use_tantivy and recreate the index with native FTS."
if tokenizer_name is None:
tokenizer_configs = {
"base_tokenizer": base_tokenizer,
"language": language,
"with_position": with_position,
"max_token_length": max_token_length,
"lower_case": lower_case,
"stem": stem,
"remove_stop_words": remove_stop_words,
"ascii_folding": ascii_folding,
"ngram_min_length": ngram_min_length,
"ngram_max_length": ngram_max_length,
"prefix_only": prefix_only,
}
else:
tokenizer_configs = self.infer_tokenizer_configs(tokenizer_name)
config = FTS(
**tokenizer_configs,
)
if ordering_field_names is not None:
raise ValueError(
"ordering_field_names was only supported by the removed "
"Tantivy-based FTS implementation."
# delete the existing legacy index if it exists
if replace:
path, fs, exist = self._get_fts_index_path()
if exist:
fs.delete_dir(path)
LOOP.run(
self._table.create_index(
field_names,
replace=replace,
config=config,
name=name,
)
)
if writer_heap_size != 1024 * 1024 * 1024:
raise ValueError(
"writer_heap_size was only supported by the removed "
"Tantivy-based FTS implementation."
)
if not isinstance(field_names, str):
raise ValueError(
"Native FTS indexes can only be created on a single field "
"at a time. To search over multiple text fields, create a "
"separate FTS index for each field."
)
if "." in field_names:
raise ValueError(
"Native FTS indexes can only be created on top-level fields. "
f"Received nested field path: {field_names!r}."
return
from .fts import create_index, populate_index
if isinstance(field_names, str):
field_names = [field_names]
if isinstance(ordering_field_names, str):
ordering_field_names = [ordering_field_names]
path, fs, exist = self._get_fts_index_path()
if exist:
if not replace:
raise ValueError("Index already exists. Use replace=True to overwrite.")
fs.delete_dir(path)
if not isinstance(fs, pa_fs.LocalFileSystem):
raise NotImplementedError(
"Full-text search is only supported on the local filesystem"
)
if tokenizer_name is None:
tokenizer_configs = {
"base_tokenizer": base_tokenizer,
"language": language,
"with_position": with_position,
"max_token_length": max_token_length,
"lower_case": lower_case,
"stem": stem,
"remove_stop_words": remove_stop_words,
"ascii_folding": ascii_folding,
"ngram_min_length": ngram_min_length,
"ngram_max_length": ngram_max_length,
"prefix_only": prefix_only,
}
else:
tokenizer_configs = self.infer_tokenizer_configs(tokenizer_name)
config = FTS(
**tokenizer_configs,
tokenizer_name = "default"
index = create_index(
path,
field_names,
ordering_fields=ordering_field_names,
tokenizer_name=tokenizer_name,
)
LOOP.run(
self._table.create_index(
field_names,
replace=replace,
config=config,
name=name,
)
populate_index(
index,
self,
field_names,
ordering_fields=ordering_field_names,
writer_heap_size=writer_heap_size,
)
@staticmethod
@@ -2811,13 +2803,13 @@ class LanceTable(Table):
fill_value: float = 0.0,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace_path: Optional[List[str]] = None,
namespace: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str | bool]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
data_storage_version: Optional[str] = None,
enable_v2_manifest_paths: Optional[bool] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
pushdown_operations: Optional[set] = None,
):
"""
Create a new table.
@@ -2872,14 +2864,13 @@ class LanceTable(Table):
Deprecated. Set `storage_options` when connecting to the database and set
`new_table_enable_v2_manifest_paths` in the options.
"""
if namespace_path is None:
namespace_path = []
if namespace is None:
namespace = []
self = cls.__new__(cls)
self._conn = db
self._namespace_path = namespace_path
self._namespace = namespace
self._location = location
self._namespace_client = namespace_client
self._pushdown_operations = pushdown_operations or set()
if data_storage_version is not None:
warnings.warn(
@@ -2912,10 +2903,10 @@ class LanceTable(Table):
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
embedding_functions=embedding_functions,
namespace_path=namespace_path,
namespace=namespace,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
location=location,
namespace_client=namespace_client,
)
)
return self
@@ -2983,15 +2974,6 @@ class LanceTable(Table):
batch_size: Optional[int] = None,
timeout: Optional[timedelta] = None,
) -> pa.RecordBatchReader:
if (
"QueryTable" in self._pushdown_operations
and self._namespace_client is not None
):
from lancedb.namespace import _execute_server_side_query
table_id = self._namespace_path + [self.name]
return _execute_server_side_query(self._namespace_client, table_id, query)
async_iter = LOOP.run(
self._table._execute_query(query, batch_size=batch_size, timeout=timeout)
)
@@ -3221,157 +3203,43 @@ def _handle_bad_vectors(
reader: pa.RecordBatchReader,
on_bad_vectors: Literal["error", "drop", "fill", "null"] = "error",
fill_value: float = 0.0,
target_schema: Optional[pa.Schema] = None,
metadata: Optional[dict] = None,
) -> pa.RecordBatchReader:
vector_columns = _find_vector_columns(reader.schema, target_schema, metadata)
if not vector_columns:
return reader
vector_columns = []
output_schema = _vector_output_schema(reader.schema, vector_columns)
for field in reader.schema:
# They can provide a 'vector' column that isn't yet a FSL
named_vector_col = (
(
pa.types.is_list(field.type)
or pa.types.is_large_list(field.type)
or pa.types.is_fixed_size_list(field.type)
)
and pa.types.is_floating(field.type.value_type)
and field.name == VECTOR_COLUMN_NAME
)
# TODO: we're making an assumption that fixed size list of 10 or more
# is a vector column. This is definitely a bit hacky.
likely_vector_col = (
pa.types.is_fixed_size_list(field.type)
and pa.types.is_floating(field.type.value_type)
and (field.type.list_size >= 10)
)
if named_vector_col or likely_vector_col:
vector_columns.append(field.name)
def gen():
for batch in reader:
pending_dims = []
for vector_column in vector_columns:
dim = vector_column["expected_dim"]
if target_schema is not None and dim is None:
dim = _infer_vector_dim(batch[vector_column["name"]])
pending_dims.append(vector_column)
for name in vector_columns:
batch = _handle_bad_vector_column(
batch,
vector_column_name=vector_column["name"],
vector_column_name=name,
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
expected_dim=dim,
expected_value_type=vector_column["expected_value_type"],
)
for vector_column in pending_dims:
if vector_column["expected_dim"] is None:
vector_column["expected_dim"] = _infer_vector_dim(
batch[vector_column["name"]]
)
if batch.schema.equals(output_schema, check_metadata=True):
yield batch
continue
yield batch
cast_batches = (
pa.Table.from_batches([batch]).cast(output_schema).to_batches()
)
if cast_batches:
yield pa.RecordBatch.from_arrays(
cast_batches[0].columns,
schema=output_schema,
)
return pa.RecordBatchReader.from_batches(output_schema, gen())
def _find_vector_columns(
reader_schema: pa.Schema,
target_schema: Optional[pa.Schema],
metadata: Optional[dict],
) -> List[dict]:
if target_schema is None:
vector_columns = []
for field in reader_schema:
named_vector_col = (
_is_list_like(field.type)
and pa.types.is_floating(field.type.value_type)
and field.name == VECTOR_COLUMN_NAME
)
likely_vector_col = (
pa.types.is_fixed_size_list(field.type)
and pa.types.is_floating(field.type.value_type)
and (field.type.list_size >= 10)
)
if named_vector_col or likely_vector_col:
vector_columns.append(
{
"name": field.name,
"expected_dim": None,
"expected_value_type": None,
}
)
return vector_columns
reader_column_names = set(reader_schema.names)
active_metadata = _merge_metadata(target_schema.metadata, metadata)
embedding_function_columns = set(
EmbeddingFunctionRegistry.get_instance().parse_functions(active_metadata).keys()
)
vector_columns = []
for field in target_schema:
if field.name not in reader_column_names:
continue
if not _is_list_like(field.type) or not pa.types.is_floating(
field.type.value_type
):
continue
reader_field = reader_schema.field(field.name)
named_vector_col = (
field.name in embedding_function_columns
or field.name == VECTOR_COLUMN_NAME
or (field.name == "embedding" and pa.types.is_fixed_size_list(field.type))
)
typed_fixed_vector_col = (
pa.types.is_fixed_size_list(reader_field.type)
and pa.types.is_floating(reader_field.type.value_type)
and reader_field.type.list_size >= 10
)
if named_vector_col or typed_fixed_vector_col:
vector_columns.append(
{
"name": field.name,
"expected_dim": (
field.type.list_size
if pa.types.is_fixed_size_list(field.type)
else None
),
"expected_value_type": field.type.value_type,
}
)
return vector_columns
def _vector_output_schema(
reader_schema: pa.Schema,
vector_columns: List[dict],
) -> pa.Schema:
columns_by_name = {column["name"]: column for column in vector_columns}
fields = []
for field in reader_schema:
column = columns_by_name.get(field.name)
if column is None:
output_type = field.type
else:
output_type = _vector_output_type(field, column)
fields.append(pa.field(field.name, output_type, field.nullable, field.metadata))
return pa.schema(fields, metadata=reader_schema.metadata)
def _vector_output_type(field: pa.Field, vector_column: dict) -> pa.DataType:
if not _is_list_like(field.type):
return field.type
if vector_column["expected_value_type"] is not None and (
pa.types.is_null(field.type.value_type)
or pa.types.is_integer(field.type.value_type)
or pa.types.is_unsigned_integer(field.type.value_type)
):
return pa.list_(vector_column["expected_value_type"])
if (
vector_column["expected_dim"] is not None
and pa.types.is_fixed_size_list(field.type)
and field.type.list_size != vector_column["expected_dim"]
):
return pa.list_(field.type.value_type)
return field.type
return pa.RecordBatchReader.from_batches(reader.schema, gen())
def _handle_bad_vector_column(
@@ -3379,8 +3247,6 @@ def _handle_bad_vector_column(
vector_column_name: str,
on_bad_vectors: str = "error",
fill_value: float = 0.0,
expected_dim: Optional[int] = None,
expected_value_type: Optional[pa.DataType] = None,
) -> pa.RecordBatch:
"""
Ensure that the vector column exists and has type fixed_size_list(float)
@@ -3397,39 +3263,14 @@ def _handle_bad_vector_column(
fill_value: float, default 0.0
The value to use when filling vectors. Only used if on_bad_vectors="fill".
"""
position = data.column_names.index(vector_column_name)
vec_arr = data[vector_column_name]
if not _is_list_like(vec_arr.type):
return data
if (
expected_dim is not None
and pa.types.is_fixed_size_list(vec_arr.type)
and vec_arr.type.list_size != expected_dim
):
vec_arr = pa.array(vec_arr.to_pylist(), type=pa.list_(vec_arr.type.value_type))
data = data.set_column(position, vector_column_name, vec_arr)
has_nan = has_nan_values(vec_arr)
if expected_value_type is not None and (
pa.types.is_integer(vec_arr.type.value_type)
or pa.types.is_unsigned_integer(vec_arr.type.value_type)
):
vec_arr = pa.array(vec_arr.to_pylist(), type=pa.list_(expected_value_type))
data = data.set_column(position, vector_column_name, vec_arr)
if pa.types.is_floating(vec_arr.type.value_type):
has_nan = has_nan_values(vec_arr)
else:
has_nan = pa.array([False] * len(vec_arr))
if expected_dim is not None:
dim = expected_dim
elif pa.types.is_fixed_size_list(vec_arr.type):
if pa.types.is_fixed_size_list(vec_arr.type):
dim = vec_arr.type.list_size
else:
dim = _infer_vector_dim(vec_arr)
if dim is None:
return data
dim = _modal_list_size(vec_arr)
has_wrong_dim = pc.not_equal(pc.list_value_length(vec_arr), dim)
has_bad_vectors = pc.any(has_nan).as_py() or pc.any(has_wrong_dim).as_py()
@@ -3467,12 +3308,13 @@ def _handle_bad_vector_column(
)
vec_arr = pc.if_else(
is_bad,
pa.scalar([fill_value] * dim, type=vec_arr.type),
pa.scalar([fill_value] * dim),
vec_arr,
)
else:
raise ValueError(f"Invalid value for on_bad_vectors: {on_bad_vectors}")
position = data.column_names.index(vector_column_name)
return data.set_column(position, vector_column_name, vec_arr)
@@ -3493,28 +3335,6 @@ def has_nan_values(arr: Union[pa.ListArray, pa.ChunkedArray]) -> pa.BooleanArray
return pc.is_in(indices, has_nan_indices)
def _is_list_like(data_type: pa.DataType) -> bool:
return (
pa.types.is_list(data_type)
or pa.types.is_large_list(data_type)
or pa.types.is_fixed_size_list(data_type)
)
def _merge_metadata(*metadata_dicts: Optional[dict]) -> dict:
merged = {}
for metadata in metadata_dicts:
if metadata is None:
continue
for key, value in metadata.items():
if isinstance(key, str):
key = key.encode("utf-8")
if isinstance(value, str):
value = value.encode("utf-8")
merged[key] = value
return merged
def _name_suggests_vector_column(field_name: str) -> bool:
"""Check if a field name indicates a vector column."""
name_lower = field_name.lower()
@@ -3582,16 +3402,6 @@ def _modal_list_size(arr: Union[pa.ListArray, pa.ChunkedArray]) -> int:
return pc.mode(pc.list_value_length(arr))[0].as_py()["mode"]
def _infer_vector_dim(arr: Union[pa.Array, pa.ChunkedArray]) -> Optional[int]:
if not _is_list_like(arr.type):
return None
lengths = pc.list_value_length(arr)
lengths = pc.filter(lengths, pc.greater(lengths, 0))
if len(lengths) == 0:
return None
return pc.mode(lengths)[0].as_py()["mode"]
def _validate_schema(schema: pa.Schema):
"""
Make sure the metadata is valid utf8

View File

@@ -180,7 +180,7 @@ def test_fts_fuzzy_query():
),
mode="overwrite",
)
table.create_fts_index("text", replace=True)
table.create_fts_index("text", use_tantivy=False, replace=True)
results = table.search(MatchQuery("foo", "text", fuzziness=1)).to_pandas()
assert len(results) == 4
@@ -230,7 +230,7 @@ def test_fts_boost_query():
),
mode="overwrite",
)
table.create_fts_index("desc", replace=True)
table.create_fts_index("desc", use_tantivy=False, replace=True)
results = table.search(
BoostQuery(
@@ -265,7 +265,7 @@ def test_fts_boolean_query(tmp_path):
],
mode="overwrite",
)
table.create_fts_index("text", replace=True)
table.create_fts_index("text", use_tantivy=False, replace=True)
# SHOULD
results = table.search(
@@ -319,7 +319,9 @@ def test_fts_native():
],
)
table.create_fts_index("text")
# passing `use_tantivy=False` to use lance FTS index
# `use_tantivy=True` by default
table.create_fts_index("text", use_tantivy=False)
table.search("puppy").limit(10).select(["text"]).to_list()
# [{'text': 'Frodo was a happy puppy', '_score': 0.6931471824645996}]
# ...
@@ -330,6 +332,7 @@ def test_fts_native():
# --8<-- [start:fts_config_folding]
table.create_fts_index(
"text",
use_tantivy=False,
language="French",
stem=True,
ascii_folding=True,
@@ -343,7 +346,7 @@ def test_fts_native():
table.search("puppy").limit(10).where("text='foo'", prefilter=False).to_list()
# --8<-- [end:fts_postfiltering]
# --8<-- [start:fts_with_position]
table.create_fts_index("text", with_position=True, replace=True)
table.create_fts_index("text", use_tantivy=False, with_position=True, replace=True)
# --8<-- [end:fts_with_position]
# --8<-- [start:fts_incremental_index]
table.add([{"vector": [3.1, 4.1], "text": "Frodo was a happy puppy"}])

View File

@@ -3,7 +3,6 @@
import re
import sys
from datetime import timedelta
import os
@@ -15,7 +14,8 @@ import pytest
from lancedb.pydantic import LanceModel, Vector
def test_basic(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_basic(tmp_path, use_tantivy):
db = lancedb.connect(tmp_path)
assert db.uri == str(tmp_path)
@@ -48,7 +48,7 @@ def test_basic(tmp_path):
assert len(rs) == 1
assert rs["item"].iloc[0] == "foo"
table.create_fts_index("item")
table.create_fts_index("item", use_tantivy=use_tantivy)
rs = table.search("bar", query_type="fts").to_pandas()
assert len(rs) == 1
assert rs["item"].iloc[0] == "bar"
@@ -183,8 +183,8 @@ def test_table_names(tmp_db: lancedb.DBConnection):
result = list(tmp_db.table_names("test2", limit=2))
assert result == ["test3"], f"Expected ['test3'], got {result}"
# Test that namespace_path parameter can be passed as keyword
result = list(tmp_db.table_names(namespace_path=[]))
# Test that namespace parameter can be passed as keyword
result = list(tmp_db.table_names(namespace=[]))
assert len(result) == 3
@@ -896,22 +896,42 @@ def test_bypass_vector_index_sync(tmp_db: lancedb.DBConnection):
def test_local_namespace_operations(tmp_path):
"""Test that local mode namespace operations work via directory namespace."""
"""Test that local mode namespace operations behave as expected."""
# Create a local database connection
db = lancedb.connect(tmp_path)
# Root namespace starts empty
assert db.list_namespaces().namespaces == []
# Test list_namespaces returns empty list for root namespace
namespaces = db.list_namespaces().namespaces
assert namespaces == []
# Create and list child namespace
db.create_namespace(["child"])
assert "child" in db.list_namespaces().namespaces
# Test list_namespaces with non-empty namespace raises NotImplementedError
with pytest.raises(
NotImplementedError,
match="Namespace operations are not supported for listing database",
):
db.list_namespaces(namespace=["test"])
# List namespaces under child
assert db.list_namespaces(namespace_path=["child"]).namespaces == []
# Drop namespace
db.drop_namespace(["child"])
assert db.list_namespaces().namespaces == []
def test_local_create_namespace_not_supported(tmp_path):
"""Test that create_namespace is not supported in local mode."""
db = lancedb.connect(tmp_path)
with pytest.raises(
NotImplementedError,
match="Namespace operations are not supported for listing database",
):
db.create_namespace(["test_namespace"])
def test_local_drop_namespace_not_supported(tmp_path):
"""Test that drop_namespace is not supported in local mode."""
db = lancedb.connect(tmp_path)
with pytest.raises(
NotImplementedError,
match="Namespace operations are not supported for listing database",
):
db.drop_namespace(["test_namespace"])
def test_clone_table_latest_version(tmp_path):
@@ -1028,59 +1048,3 @@ def test_clone_table_deep_clone_fails(tmp_path):
source_uri = os.path.join(tmp_path, "source.lance")
with pytest.raises(Exception, match="Deep clone is not yet implemented"):
db.clone_table("cloned", source_uri, is_shallow=False)
@pytest.mark.skipif(sys.platform == "win32", reason="Namespace client issues")
def test_namespace_client_native_storage(tmp_path):
"""Test namespace_client() returns DirectoryNamespace for native storage."""
from lance.namespace import DirectoryNamespace
db = lancedb.connect(tmp_path)
ns_client = db.namespace_client()
assert isinstance(ns_client, DirectoryNamespace)
assert str(tmp_path) in ns_client.namespace_id()
@pytest.mark.skipif(sys.platform == "win32", reason="Namespace client issues")
def test_namespace_client_with_storage_options(tmp_path):
"""Test namespace_client() preserves storage options."""
from lance.namespace import DirectoryNamespace
storage_options = {"timeout": "10s"}
db = lancedb.connect(tmp_path, storage_options=storage_options)
ns_client = db.namespace_client()
assert isinstance(ns_client, DirectoryNamespace)
@pytest.mark.skipif(sys.platform == "win32", reason="Namespace client issues")
def test_namespace_client_operations(tmp_path):
"""Test that namespace_client() returns a functional namespace client."""
db = lancedb.connect(tmp_path)
ns_client = db.namespace_client()
# Create a table through the main db connection
data = [{"id": 1, "text": "hello", "vector": [1.0, 2.0]}]
db.create_table("test_table", data=data)
# Verify the namespace client can see the table
from lance_namespace import ListTablesRequest
# id=[] means root namespace
response = ns_client.list_tables(ListTablesRequest(id=[]))
# Tables can be strings or objects with name attribute
table_names = [t.name if hasattr(t, "name") else t for t in response.tables]
assert "test_table" in table_names
@pytest.mark.skipif(sys.platform == "win32", reason="Namespace client issues")
def test_namespace_client_namespace_connection(tmp_path):
"""Test namespace_client() returns the backing client for namespace connections."""
from lance.namespace import DirectoryNamespace
db = lancedb.connect_namespace("dir", {"root": str(tmp_path)})
ns_client = db.namespace_client()
assert isinstance(ns_client, DirectoryNamespace)
assert str(tmp_path) in ns_client.namespace_id()

View File

@@ -36,6 +36,9 @@ import pytest
import pytest_asyncio
from utils import exception_output
pytest.importorskip("lancedb.fts")
tantivy = pytest.importorskip("tantivy")
@pytest.fixture
def table(tmp_path) -> ldb.table.LanceTable:
@@ -141,53 +144,58 @@ async def async_table(tmp_path) -> ldb.table.AsyncTable:
return table
@pytest.mark.parametrize(
("kwargs", "match"),
[
(
{"use_tantivy": True},
"Tantivy-based FTS has been removed",
),
(
{"ordering_field_names": ["count"]},
"ordering_field_names was only supported",
),
(
{"writer_heap_size": 128},
"writer_heap_size was only supported",
),
],
)
def test_reject_removed_tantivy_parameters(table, kwargs, match):
with pytest.raises(ValueError, match=match):
table.create_fts_index("text", **kwargs)
def test_create_index(tmp_path):
index = ldb.fts.create_index(str(tmp_path / "index"), ["text"])
assert isinstance(index, tantivy.Index)
assert os.path.exists(str(tmp_path / "index"))
def test_reject_legacy_tantivy_index(table):
path, _, _ = table._get_fts_index_path()
os.makedirs(path, exist_ok=True)
def test_create_index_with_stemming(tmp_path, table):
index = ldb.fts.create_index(
str(tmp_path / "index"), ["text"], tokenizer_name="en_stem"
)
assert isinstance(index, tantivy.Index)
assert os.path.exists(str(tmp_path / "index"))
with pytest.raises(ValueError, match="Legacy Tantivy FTS index detected"):
table.search("puppy").limit(5).to_list()
with pytest.raises(ValueError, match="Legacy Tantivy FTS index detected"):
table.create_fts_index("text")
# Check stemming by running tokenizer on non empty table
table.create_fts_index("text", tokenizer_name="en_stem", use_tantivy=True)
@pytest.mark.parametrize("use_tantivy", [True, False])
@pytest.mark.parametrize("with_position", [True, False])
def test_create_inverted_index(table, with_position):
def test_create_inverted_index(table, use_tantivy, with_position):
if use_tantivy and not with_position:
pytest.skip("we don't support building a tantivy index without position")
table.create_fts_index(
"text",
use_tantivy=use_tantivy,
with_position=with_position,
name="custom_fts_index",
)
indices = table.list_indices()
fts_indices = [i for i in indices if i.index_type == "FTS"]
assert any(i.name == "custom_fts_index" for i in fts_indices)
if not use_tantivy:
indices = table.list_indices()
fts_indices = [i for i in indices if i.index_type == "FTS"]
assert any(i.name == "custom_fts_index" for i in fts_indices)
def test_search_fts(table):
table.create_fts_index("text")
def test_populate_index(tmp_path, table):
index = ldb.fts.create_index(str(tmp_path / "index"), ["text"])
assert ldb.fts.populate_index(index, table, ["text"]) == len(table)
def test_search_index(tmp_path, table):
index = ldb.fts.create_index(str(tmp_path / "index"), ["text"])
ldb.fts.populate_index(index, table, ["text"])
index.reload()
results = ldb.fts.search_index(index, query="puppy", limit=5)
assert len(results) == 2
assert len(results[0]) == 5 # row_ids
assert len(results[1]) == 5 # _score
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_search_fts(table, use_tantivy):
table.create_fts_index("text", use_tantivy=use_tantivy)
results = table.search("puppy").select(["id", "text"]).limit(5).to_list()
assert len(results) == 5
assert len(results[0]) == 3 # id, text, _score
@@ -196,52 +204,53 @@ def test_search_fts(table):
results = table.search("puppy").select(["id", "text"]).to_list()
assert len(results) == 10
# Test with a query
results = (
table.search(MatchQuery("puppy", "text"))
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
# Test boost query
results = (
table.search(
BoostQuery(
MatchQuery("puppy", "text"),
MatchQuery("runs", "text"),
)
if not use_tantivy:
# Test with a query
results = (
table.search(MatchQuery("puppy", "text"))
.select(["id", "text"])
.limit(5)
.to_list()
)
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
assert len(results) == 5
# Test multi match query
table.create_fts_index("text2")
results = (
table.search(MultiMatchQuery("puppy", ["text", "text2"]))
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
assert len(results[0]) == 3 # id, text, _score
# Test boost query
results = (
table.search(
BoostQuery(
MatchQuery("puppy", "text"),
MatchQuery("runs", "text"),
)
)
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
# Test boolean query
results = (
table.search(MatchQuery("puppy", "text") & MatchQuery("runs", "text"))
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
assert len(results[0]) == 3 # id, text, _score
for r in results:
assert "puppy" in r["text"]
assert "runs" in r["text"]
# Test multi match query
table.create_fts_index("text2", use_tantivy=use_tantivy)
results = (
table.search(MultiMatchQuery("puppy", ["text", "text2"]))
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
assert len(results[0]) == 3 # id, text, _score
# Test boolean query
results = (
table.search(MatchQuery("puppy", "text") & MatchQuery("runs", "text"))
.select(["id", "text"])
.limit(5)
.to_list()
)
assert len(results) == 5
assert len(results[0]) == 3 # id, text, _score
for r in results:
assert "puppy" in r["text"]
assert "runs" in r["text"]
@pytest.mark.asyncio
@@ -309,13 +318,13 @@ async def test_fts_select_async(async_table):
def test_search_fts_phrase_query(table):
table.create_fts_index("text", with_position=False)
table.create_fts_index("text", use_tantivy=False, with_position=False)
try:
phrase_results = table.search('"puppy runs"').limit(100).to_list()
assert False
except Exception:
pass
table.create_fts_index("text", with_position=True, replace=True)
table.create_fts_index("text", use_tantivy=False, with_position=True, replace=True)
results = table.search("puppy").limit(100).to_list()
# Test with quotation marks
@@ -366,8 +375,8 @@ async def test_search_fts_phrase_query_async(async_table):
def test_search_fts_specify_column(table):
table.create_fts_index("text")
table.create_fts_index("text2")
table.create_fts_index("text", use_tantivy=False)
table.create_fts_index("text2", use_tantivy=False)
results = table.search("puppy", fts_columns="text").limit(5).to_list()
assert len(results) == 5
@@ -461,8 +470,42 @@ async def test_search_fts_specify_column_async(async_table):
pass
def test_create_index_from_table(tmp_path, table):
table.create_fts_index("text")
def test_search_ordering_field_index_table(tmp_path, table):
table.create_fts_index("text", ordering_field_names=["count"], use_tantivy=True)
rows = (
table.search("puppy", ordering_field_name="count")
.limit(20)
.select(["text", "count"])
.to_list()
)
for r in rows:
assert "puppy" in r["text"]
assert sorted(rows, key=lambda x: x["count"], reverse=True) == rows
def test_search_ordering_field_index(tmp_path, table):
index = ldb.fts.create_index(
str(tmp_path / "index"), ["text"], ordering_fields=["count"]
)
ldb.fts.populate_index(index, table, ["text"], ordering_fields=["count"])
index.reload()
results = ldb.fts.search_index(
index, query="puppy", limit=5, ordering_field="count"
)
assert len(results) == 2
assert len(results[0]) == 5 # row_ids
assert len(results[1]) == 5 # _distance
rows = table.to_lance().take(results[0]).to_pylist()
for r in rows:
assert "puppy" in r["text"]
assert sorted(rows, key=lambda x: x["count"], reverse=True) == rows
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_create_index_from_table(tmp_path, table, use_tantivy):
table.create_fts_index("text", use_tantivy=use_tantivy)
df = table.search("puppy").limit(5).select(["text"]).to_pandas()
assert len(df) <= 5
assert "text" in df.columns
@@ -482,24 +525,36 @@ def test_create_index_from_table(tmp_path, table):
)
with pytest.raises(Exception, match="already exists"):
table.create_fts_index("text")
table.create_fts_index("text", use_tantivy=use_tantivy)
table.create_fts_index("text", replace=True)
table.create_fts_index("text", replace=True, use_tantivy=use_tantivy)
assert len(table.search("gorilla").limit(1).to_pandas()) == 1
def test_create_index_multiple_columns(tmp_path, table):
with pytest.raises(ValueError, match="Native FTS indexes can only be created"):
table.create_fts_index(["text", "text2"])
table.create_fts_index(["text", "text2"], use_tantivy=True)
df = table.search("puppy").limit(5).to_pandas()
assert len(df) == 5
assert "text" in df.columns
assert "text2" in df.columns
def test_empty_rs(tmp_path, table, mocker):
table.create_fts_index(["text", "text2"], use_tantivy=True)
mocker.patch("lancedb.fts.search_index", return_value=([], []))
df = table.search("puppy").limit(5).to_pandas()
assert len(df) == 0
def test_nested_schema(tmp_path, table):
with pytest.raises(ValueError, match="top-level fields"):
table.create_fts_index("nested.text")
table.create_fts_index("nested.text", use_tantivy=True)
rs = table.search("puppy").limit(5).to_list()
assert len(rs) == 5
def test_search_index_with_filter(table):
table.create_fts_index("text")
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_search_index_with_filter(table, use_tantivy):
table.create_fts_index("text", use_tantivy=use_tantivy)
orig_import = __import__
def import_mock(name, *args):
@@ -529,7 +584,8 @@ def test_search_index_with_filter(table):
assert r["_rowid"] is not None
def test_null_input(table):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_null_input(table, use_tantivy):
table.add(
[
{
@@ -542,13 +598,14 @@ def test_null_input(table):
}
]
)
table.create_fts_index("text")
table.create_fts_index("text", use_tantivy=use_tantivy)
def test_syntax(table):
# https://github.com/lancedb/lancedb/issues/769
table.create_fts_index("text")
table.search("they could have been dogs OR").limit(10).to_list()
table.create_fts_index("text", use_tantivy=True)
with pytest.raises(ValueError, match="Syntax Error"):
table.search("they could have been dogs OR").limit(10).to_list()
# these should work
@@ -559,7 +616,6 @@ def test_syntax(table):
).to_list()
# phrase queries
table.create_fts_index("text", with_position=True, replace=True)
table.search("they could have been dogs OR cats").phrase_query().limit(10).to_list()
table.search('"they could have been dogs OR cats"').limit(10).to_list()
table.search('''"the cats OR dogs were not really 'pets' at all"''').limit(
@@ -583,7 +639,7 @@ def test_language(mem_db: DBConnection):
table = mem_db.create_table("test", data=data)
with pytest.raises(ValueError) as e:
table.create_fts_index("text", language="klingon")
table.create_fts_index("text", use_tantivy=False, language="klingon")
assert exception_output(e) == (
"ValueError: LanceDB does not support the requested language: 'klingon'\n"
@@ -594,6 +650,7 @@ def test_language(mem_db: DBConnection):
table.create_fts_index(
"text",
use_tantivy=False,
language="French",
stem=True,
ascii_folding=True,
@@ -633,7 +690,7 @@ def test_fts_on_list(mem_db: DBConnection):
}
)
table = mem_db.create_table("test", data=data)
table.create_fts_index("text", with_position=True)
table.create_fts_index("text", use_tantivy=False, with_position=True)
res = table.search("lance").limit(5).to_list()
assert len(res) == 3
@@ -645,7 +702,7 @@ def test_fts_on_list(mem_db: DBConnection):
def test_fts_ngram(mem_db: DBConnection):
data = pa.table({"text": ["hello world", "lance database", "lance is cool"]})
table = mem_db.create_table("test", data=data)
table.create_fts_index("text", base_tokenizer="ngram")
table.create_fts_index("text", use_tantivy=False, base_tokenizer="ngram")
results = table.search("lan", query_type="fts").limit(10).to_list()
assert len(results) == 2
@@ -664,6 +721,7 @@ def test_fts_ngram(mem_db: DBConnection):
# test setting min_ngram_length and prefix_only
table.create_fts_index(
"text",
use_tantivy=False,
base_tokenizer="ngram",
replace=True,
ngram_min_length=2,
@@ -828,7 +886,7 @@ def test_fts_query_to_json():
def test_fts_fast_search(table):
table.create_fts_index("text")
table.create_fts_index("text", use_tantivy=False)
# Insert some unindexed data
table.add(

View File

@@ -28,7 +28,7 @@ def sync_table(tmpdir_factory) -> Table:
}
)
table = db.create_table("test", data)
table.create_fts_index("text", with_position=False)
table.create_fts_index("text", with_position=False, use_tantivy=False)
return table
@@ -192,7 +192,7 @@ def table_with_id(tmpdir_factory) -> Table:
}
)
table = db.create_table("test_with_id", data)
table.create_fts_index("text", with_position=False)
table.create_fts_index("text", with_position=False, use_tantivy=False)
return table

View File

@@ -33,16 +33,6 @@ class TestNamespaceConnection:
# Initially no tables in root
assert len(list(db.table_names())) == 0
def test_connect_via_connect_helper(self):
"""Connecting via lancedb.connect should delegate to namespace connection."""
db = lancedb.connect(
namespace_client_impl="dir",
namespace_client_properties={"root": self.temp_dir},
)
assert isinstance(db, lancedb.LanceNamespaceDBConnection)
assert len(list(db.table_names())) == 0
def test_create_table_through_namespace(self):
"""Test creating a table through namespace."""
db = lancedb.connect_namespace("dir", {"root": self.temp_dir})
@@ -60,14 +50,14 @@ class TestNamespaceConnection:
)
# Create empty table in child namespace
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
assert table is not None
assert table.name == "test_table"
assert table.namespace == ["test_ns"]
assert table.id == "test_ns$test_table"
# Table should appear in child namespace
table_names = list(db.table_names(namespace_path=["test_ns"]))
table_names = list(db.table_names(namespace=["test_ns"]))
assert "test_table" in table_names
assert len(table_names) == 1
@@ -90,10 +80,10 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
db.create_table("test_table", schema=schema, namespace=["test_ns"])
# Open the table
table = db.open_table("test_table", namespace_path=["test_ns"])
table = db.open_table("test_table", namespace=["test_ns"])
assert table is not None
assert table.name == "test_table"
assert table.namespace == ["test_ns"]
@@ -118,31 +108,31 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("table1", schema=schema, namespace_path=["test_ns"])
db.create_table("table2", schema=schema, namespace_path=["test_ns"])
db.create_table("table1", schema=schema, namespace=["test_ns"])
db.create_table("table2", schema=schema, namespace=["test_ns"])
# Verify both tables exist in child namespace
table_names = list(db.table_names(namespace_path=["test_ns"]))
table_names = list(db.table_names(namespace=["test_ns"]))
assert "table1" in table_names
assert "table2" in table_names
assert len(table_names) == 2
# Drop one table
db.drop_table("table1", namespace_path=["test_ns"])
db.drop_table("table1", namespace=["test_ns"])
# Verify only table2 remains
table_names = list(db.table_names(namespace_path=["test_ns"]))
table_names = list(db.table_names(namespace=["test_ns"]))
assert "table1" not in table_names
assert "table2" in table_names
assert len(table_names) == 1
# Drop the second table
db.drop_table("table2", namespace_path=["test_ns"])
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 0
db.drop_table("table2", namespace=["test_ns"])
assert len(list(db.table_names(namespace=["test_ns"]))) == 0
# Should not be able to open dropped table
with pytest.raises(TableNotFoundError):
db.open_table("table1", namespace_path=["test_ns"])
db.open_table("table1", namespace=["test_ns"])
def test_create_table_with_schema(self):
"""Test creating a table with explicit schema through namespace."""
@@ -161,7 +151,7 @@ class TestNamespaceConnection:
)
# Create table with schema in child namespace
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
assert table is not None
assert table.namespace == ["test_ns"]
@@ -185,7 +175,7 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("old_name", schema=schema, namespace_path=["test_ns"])
db.create_table("old_name", schema=schema, namespace=["test_ns"])
# Rename should raise NotImplementedError
with pytest.raises(NotImplementedError, match="rename_table is not supported"):
@@ -206,20 +196,20 @@ class TestNamespaceConnection:
]
)
for i in range(3):
db.create_table(f"table{i}", schema=schema, namespace_path=["test_ns"])
db.create_table(f"table{i}", schema=schema, namespace=["test_ns"])
# Verify tables exist in child namespace
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 3
assert len(list(db.table_names(namespace=["test_ns"]))) == 3
# Drop all tables in child namespace
db.drop_all_tables(namespace_path=["test_ns"])
db.drop_all_tables(namespace=["test_ns"])
# Verify all tables are gone from child namespace
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 0
assert len(list(db.table_names(namespace=["test_ns"]))) == 0
# Test that table_names works with keyword-only namespace parameter
db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
result = list(db.table_names(namespace_path=["test_ns"]))
db.create_table("test_table", schema=schema, namespace=["test_ns"])
result = list(db.table_names(namespace=["test_ns"]))
assert "test_table" in result
def test_table_operations(self):
@@ -237,7 +227,7 @@ class TestNamespaceConnection:
pa.field("text", pa.string()),
]
)
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
# Verify empty table was created
result = table.to_pandas()
@@ -308,25 +298,25 @@ class TestNamespaceConnection:
]
)
table = db.create_table(
"test_table", schema=schema, namespace_path=["test_namespace"]
"test_table", schema=schema, namespace=["test_namespace"]
)
assert table is not None
# Verify table exists in namespace
tables_in_namespace = list(db.table_names(namespace_path=["test_namespace"]))
tables_in_namespace = list(db.table_names(namespace=["test_namespace"]))
assert "test_table" in tables_in_namespace
assert len(tables_in_namespace) == 1
# Open table from namespace
table = db.open_table("test_table", namespace_path=["test_namespace"])
table = db.open_table("test_table", namespace=["test_namespace"])
assert table is not None
assert table.name == "test_table"
# Drop table from namespace
db.drop_table("test_table", namespace_path=["test_namespace"])
db.drop_table("test_table", namespace=["test_namespace"])
# Verify table no longer exists in namespace
tables_in_namespace = list(db.table_names(namespace_path=["test_namespace"]))
tables_in_namespace = list(db.table_names(namespace=["test_namespace"]))
assert len(tables_in_namespace) == 0
# Drop namespace
@@ -348,14 +338,14 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("test_table", schema=schema, namespace_path=["test_namespace"])
db.create_table("test_table", schema=schema, namespace=["test_namespace"])
# Try to drop namespace with tables - should fail
with pytest.raises(NamespaceNotEmptyError):
db.drop_namespace(["test_namespace"])
# Drop table first
db.drop_table("test_table", namespace_path=["test_namespace"])
db.drop_table("test_table", namespace=["test_namespace"])
# Now dropping namespace should work
db.drop_namespace(["test_namespace"])
@@ -378,10 +368,10 @@ class TestNamespaceConnection:
# Create table with same name in both namespaces
table_a = db.create_table(
"same_name_table", schema=schema, namespace_path=["namespace_a"]
"same_name_table", schema=schema, namespace=["namespace_a"]
)
table_b = db.create_table(
"same_name_table", schema=schema, namespace_path=["namespace_b"]
"same_name_table", schema=schema, namespace=["namespace_b"]
)
# Add different data to each table
@@ -399,9 +389,7 @@ class TestNamespaceConnection:
table_b.add(data_b)
# Verify data in namespace_a table
opened_table_a = db.open_table(
"same_name_table", namespace_path=["namespace_a"]
)
opened_table_a = db.open_table("same_name_table", namespace=["namespace_a"])
result_a = opened_table_a.to_pandas().sort_values("id").reset_index(drop=True)
assert len(result_a) == 2
assert result_a["id"].tolist() == [1, 2]
@@ -412,9 +400,7 @@ class TestNamespaceConnection:
assert [v.tolist() for v in result_a["vector"]] == [[1.0, 2.0], [3.0, 4.0]]
# Verify data in namespace_b table
opened_table_b = db.open_table(
"same_name_table", namespace_path=["namespace_b"]
)
opened_table_b = db.open_table("same_name_table", namespace=["namespace_b"])
result_b = opened_table_b.to_pandas().sort_values("id").reset_index(drop=True)
assert len(result_b) == 3
assert result_b["id"].tolist() == [10, 20, 30]
@@ -434,8 +420,8 @@ class TestNamespaceConnection:
assert "same_name_table" not in root_tables
# Clean up
db.drop_table("same_name_table", namespace_path=["namespace_a"])
db.drop_table("same_name_table", namespace_path=["namespace_b"])
db.drop_table("same_name_table", namespace=["namespace_a"])
db.drop_table("same_name_table", namespace=["namespace_b"])
db.drop_namespace(["namespace_a"])
db.drop_namespace(["namespace_b"])
@@ -463,8 +449,6 @@ class TestAsyncNamespaceConnection:
table_names = await db.table_names()
assert len(list(table_names)) == 0
# Async connect via namespace helper is not enabled yet.
async def test_create_table_async(self):
"""Test creating a table asynchronously through namespace."""
db = lancedb.connect_namespace_async("dir", {"root": self.temp_dir})
@@ -483,13 +467,13 @@ class TestAsyncNamespaceConnection:
# Create empty table in child namespace
table = await db.create_table(
"test_table", schema=schema, namespace_path=["test_ns"]
"test_table", schema=schema, namespace=["test_ns"]
)
assert table is not None
assert isinstance(table, lancedb.AsyncTable)
# Table should appear in child namespace
table_names = await db.table_names(namespace_path=["test_ns"])
table_names = await db.table_names(namespace=["test_ns"])
assert "test_table" in list(table_names)
async def test_open_table_async(self):
@@ -506,10 +490,10 @@ class TestAsyncNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
await db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
await db.create_table("test_table", schema=schema, namespace=["test_ns"])
# Open the table
table = await db.open_table("test_table", namespace_path=["test_ns"])
table = await db.open_table("test_table", namespace=["test_ns"])
assert table is not None
assert isinstance(table, lancedb.AsyncTable)
@@ -563,20 +547,20 @@ class TestAsyncNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
await db.create_table("table1", schema=schema, namespace_path=["test_ns"])
await db.create_table("table2", schema=schema, namespace_path=["test_ns"])
await db.create_table("table1", schema=schema, namespace=["test_ns"])
await db.create_table("table2", schema=schema, namespace=["test_ns"])
# Verify both tables exist in child namespace
table_names = list(await db.table_names(namespace_path=["test_ns"]))
table_names = list(await db.table_names(namespace=["test_ns"]))
assert "table1" in table_names
assert "table2" in table_names
assert len(table_names) == 2
# Drop one table
await db.drop_table("table1", namespace_path=["test_ns"])
await db.drop_table("table1", namespace=["test_ns"])
# Verify only table2 remains
table_names = list(await db.table_names(namespace_path=["test_ns"]))
table_names = list(await db.table_names(namespace=["test_ns"]))
assert "table1" not in table_names
assert "table2" in table_names
assert len(table_names) == 1
@@ -605,24 +589,20 @@ class TestAsyncNamespaceConnection:
]
)
table = await db.create_table(
"test_table", schema=schema, namespace_path=["test_namespace"]
"test_table", schema=schema, namespace=["test_namespace"]
)
assert table is not None
# Verify table exists in namespace
tables_in_namespace = list(
await db.table_names(namespace_path=["test_namespace"])
)
tables_in_namespace = list(await db.table_names(namespace=["test_namespace"]))
assert "test_table" in tables_in_namespace
assert len(tables_in_namespace) == 1
# Drop table from namespace
await db.drop_table("test_table", namespace_path=["test_namespace"])
await db.drop_table("test_table", namespace=["test_namespace"])
# Verify table no longer exists in namespace
tables_in_namespace = list(
await db.table_names(namespace_path=["test_namespace"])
)
tables_in_namespace = list(await db.table_names(namespace=["test_namespace"]))
assert len(tables_in_namespace) == 0
# Drop namespace
@@ -647,98 +627,15 @@ class TestAsyncNamespaceConnection:
]
)
for i in range(3):
await db.create_table(
f"table{i}", schema=schema, namespace_path=["test_ns"]
)
await db.create_table(f"table{i}", schema=schema, namespace=["test_ns"])
# Verify tables exist in child namespace
table_names = await db.table_names(namespace_path=["test_ns"])
table_names = await db.table_names(namespace=["test_ns"])
assert len(list(table_names)) == 3
# Drop all tables in child namespace
await db.drop_all_tables(namespace_path=["test_ns"])
await db.drop_all_tables(namespace=["test_ns"])
# Verify all tables are gone from child namespace
table_names = await db.table_names(namespace_path=["test_ns"])
table_names = await db.table_names(namespace=["test_ns"])
assert len(list(table_names)) == 0
class TestPushdownOperations:
"""Test pushdown operations on namespace connections."""
def setup_method(self):
"""Set up test fixtures."""
self.temp_dir = tempfile.mkdtemp()
def teardown_method(self):
"""Clean up test fixtures."""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_query_table_pushdown_stored(self):
"""Test that QueryTable pushdown is stored on sync connection."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable"],
)
assert "QueryTable" in db._namespace_client_pushdown_operations
def test_create_table_pushdown_stored(self):
"""Test that CreateTable pushdown is stored on sync connection."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["CreateTable"],
)
assert "CreateTable" in db._namespace_client_pushdown_operations
def test_both_pushdowns_stored(self):
"""Test that both pushdown operations can be set together."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable", "CreateTable"],
)
assert "QueryTable" in db._namespace_client_pushdown_operations
assert "CreateTable" in db._namespace_client_pushdown_operations
def test_pushdown_defaults_to_empty(self):
"""Test that pushdown operations default to empty."""
db = lancedb.connect_namespace("dir", {"root": self.temp_dir})
assert len(db._namespace_client_pushdown_operations) == 0
@pytest.mark.asyncio
class TestAsyncPushdownOperations:
"""Test pushdown operations on async namespace connections."""
def setup_method(self):
"""Set up test fixtures."""
self.temp_dir = tempfile.mkdtemp()
def teardown_method(self):
"""Clean up test fixtures."""
shutil.rmtree(self.temp_dir, ignore_errors=True)
async def test_async_query_table_pushdown_stored(self):
"""Test that QueryTable pushdown is stored on async connection."""
db = lancedb.connect_namespace_async(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable"],
)
assert "QueryTable" in db._namespace_client_pushdown_operations
async def test_async_create_table_pushdown_stored(self):
"""Test that CreateTable pushdown is stored on async connection."""
db = lancedb.connect_namespace_async(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["CreateTable"],
)
assert "CreateTable" in db._namespace_client_pushdown_operations
async def test_async_pushdown_defaults_to_empty(self):
"""Test that pushdown operations default to empty on async connection."""
db = lancedb.connect_namespace_async("dir", {"root": self.temp_dir})
assert len(db._namespace_client_pushdown_operations) == 0

View File

@@ -4,11 +4,9 @@
"""
Integration tests for LanceDB Namespace with S3 and credential refresh.
This test uses DirectoryNamespace with native ops_metrics and vend_input_storage_options
features to track API calls and test credential refresh mechanisms.
Tests are parameterized to run with both DirectoryNamespace and a CustomNamespace
wrapper to verify Python-Rust binding works correctly for custom implementations.
This test simulates a namespace server that returns incrementing credentials
and verifies that the credential refresh mechanism works correctly for both
create_table and open_table operations.
Tests verify:
- Storage options provider is auto-created and used
@@ -18,141 +16,24 @@ Tests verify:
"""
import copy
import shutil
import sys
import tempfile
import time
import uuid
from typing import Dict, Optional
from threading import Lock
from typing import Dict
import pyarrow as pa
import pytest
from lance.namespace import (
from lance_namespace import (
CreateEmptyTableRequest,
CreateEmptyTableResponse,
DeclareTableRequest,
DeclareTableResponse,
DescribeTableRequest,
DescribeTableResponse,
DirectoryNamespace,
LanceNamespace,
)
from lance_namespace import (
CreateNamespaceRequest,
CreateNamespaceResponse,
CreateTableRequest,
CreateTableResponse,
CreateTableVersionRequest,
CreateTableVersionResponse,
DeregisterTableRequest,
DeregisterTableResponse,
DescribeNamespaceRequest,
DescribeNamespaceResponse,
DescribeTableVersionRequest,
DescribeTableVersionResponse,
DropNamespaceRequest,
DropNamespaceResponse,
DropTableRequest,
DropTableResponse,
ListNamespacesRequest,
ListNamespacesResponse,
ListTablesRequest,
ListTablesResponse,
ListTableVersionsRequest,
ListTableVersionsResponse,
NamespaceExistsRequest,
RegisterTableRequest,
RegisterTableResponse,
TableExistsRequest,
)
from lancedb.namespace import LanceNamespaceDBConnection
class CustomNamespace(LanceNamespace):
"""A custom namespace wrapper that delegates to DirectoryNamespace.
This class verifies that the Python-Rust binding works correctly for
custom namespace implementations that wrap the native DirectoryNamespace.
All methods simply delegate to the underlying DirectoryNamespace instance.
"""
def __init__(self, inner: DirectoryNamespace):
self._inner = inner
def namespace_id(self) -> str:
return f"CustomNamespace[{self._inner.namespace_id()}]"
def create_namespace(
self, request: CreateNamespaceRequest
) -> CreateNamespaceResponse:
return self._inner.create_namespace(request)
def describe_namespace(
self, request: DescribeNamespaceRequest
) -> DescribeNamespaceResponse:
return self._inner.describe_namespace(request)
def namespace_exists(self, request: NamespaceExistsRequest) -> None:
return self._inner.namespace_exists(request)
def drop_namespace(self, request: DropNamespaceRequest) -> DropNamespaceResponse:
return self._inner.drop_namespace(request)
def list_namespaces(self, request: ListNamespacesRequest) -> ListNamespacesResponse:
return self._inner.list_namespaces(request)
def create_table(
self, request: CreateTableRequest, data: bytes
) -> CreateTableResponse:
return self._inner.create_table(request, data)
def declare_table(self, request: DeclareTableRequest) -> DeclareTableResponse:
return self._inner.declare_table(request)
def describe_table(self, request: DescribeTableRequest) -> DescribeTableResponse:
return self._inner.describe_table(request)
def table_exists(self, request: TableExistsRequest) -> None:
return self._inner.table_exists(request)
def drop_table(self, request: DropTableRequest) -> DropTableResponse:
return self._inner.drop_table(request)
def list_tables(self, request: ListTablesRequest) -> ListTablesResponse:
return self._inner.list_tables(request)
def register_table(self, request: RegisterTableRequest) -> RegisterTableResponse:
return self._inner.register_table(request)
def deregister_table(
self, request: DeregisterTableRequest
) -> DeregisterTableResponse:
return self._inner.deregister_table(request)
def list_table_versions(
self, request: ListTableVersionsRequest
) -> ListTableVersionsResponse:
return self._inner.list_table_versions(request)
def describe_table_version(
self, request: DescribeTableVersionRequest
) -> DescribeTableVersionResponse:
return self._inner.describe_table_version(request)
def create_table_version(
self, request: CreateTableVersionRequest
) -> CreateTableVersionResponse:
return self._inner.create_table_version(request)
def retrieve_ops_metrics(self) -> Optional[Dict[str, int]]:
return self._inner.retrieve_ops_metrics()
def _wrap_if_custom(ns_client: DirectoryNamespace, use_custom: bool):
"""Wrap namespace client in CustomNamespace if use_custom is True."""
if use_custom:
return CustomNamespace(ns_client)
return ns_client
# LocalStack S3 configuration
CONFIG = {
"allow_http": "true",
@@ -208,88 +89,162 @@ def delete_bucket(s3, bucket_name):
pass
def create_tracking_namespace(
bucket_name: str,
storage_options: dict,
credential_expires_in_seconds: int = 60,
use_custom: bool = False,
):
"""Create a DirectoryNamespace with ops metrics and credential vending enabled.
Uses native DirectoryNamespace features:
- ops_metrics_enabled=true: Tracks API call counts via retrieve_ops_metrics()
- vend_input_storage_options=true: Returns input storage options in responses
- vend_input_storage_options_refresh_interval_millis: Adds expires_at_millis
Args:
bucket_name: S3 bucket name or local path
storage_options: Storage options to pass through (credentials, endpoint, etc.)
credential_expires_in_seconds: Interval in seconds for credential expiration
use_custom: If True, wrap in CustomNamespace for testing custom implementations
Returns:
Tuple of (namespace_client, inner_namespace_client) where inner is always
the DirectoryNamespace (used for metrics retrieval)
class TrackingNamespace(LanceNamespace):
"""
# Add refresh_offset_millis to storage options so that credentials are not
# considered expired immediately. Set to 1 second (1000ms) so that refresh
# checks work correctly with short-lived credentials in tests.
storage_options_with_refresh = dict(storage_options)
storage_options_with_refresh["refresh_offset_millis"] = "1000"
Mock namespace that wraps DirectoryNamespace and tracks API calls.
dir_props = {f"storage.{k}": v for k, v in storage_options_with_refresh.items()}
This namespace returns incrementing credentials with each API call to simulate
credential rotation. It also tracks the number of times each API is called
to verify caching behavior.
"""
if bucket_name.startswith("/") or bucket_name.startswith("file://"):
dir_props["root"] = f"{bucket_name}/namespace_root"
else:
dir_props["root"] = f"s3://{bucket_name}/namespace_root"
def __init__(
self,
bucket_name: str,
storage_options: Dict[str, str],
credential_expires_in_seconds: int = 60,
):
from lance.namespace import DirectoryNamespace
# Enable ops metrics tracking
dir_props["ops_metrics_enabled"] = "true"
# Enable storage options vending
dir_props["vend_input_storage_options"] = "true"
# Set refresh interval in milliseconds
dir_props["vend_input_storage_options_refresh_interval_millis"] = str(
credential_expires_in_seconds * 1000
)
self.bucket_name = bucket_name
self.base_storage_options = storage_options
self.credential_expires_in_seconds = credential_expires_in_seconds
self.describe_call_count = 0
self.create_call_count = 0
self.lock = Lock()
inner_ns_client = DirectoryNamespace(**dir_props)
ns_client = _wrap_if_custom(inner_ns_client, use_custom)
return ns_client, inner_ns_client
# Create underlying DirectoryNamespace with storage options
dir_props = {f"storage.{k}": v for k, v in storage_options.items()}
# Use S3 path for bucket name, local path for file paths
if bucket_name.startswith("/") or bucket_name.startswith("file://"):
dir_props["root"] = f"{bucket_name}/namespace_root"
else:
dir_props["root"] = f"s3://{bucket_name}/namespace_root"
def get_describe_call_count(namespace_client) -> int:
"""Get the number of describe_table calls made to the namespace client."""
return namespace_client.retrieve_ops_metrics().get("describe_table", 0)
self.inner = DirectoryNamespace(**dir_props)
def get_describe_call_count(self) -> int:
"""Thread-safe getter for describe call count."""
with self.lock:
return self.describe_call_count
def get_declare_call_count(namespace_client) -> int:
"""Get the number of declare_table calls made to the namespace client."""
return namespace_client.retrieve_ops_metrics().get("declare_table", 0)
def get_create_call_count(self) -> int:
"""Thread-safe getter for create call count."""
with self.lock:
return self.create_call_count
def namespace_id(self) -> str:
"""Return namespace identifier."""
return f"TrackingNamespace {{ inner: {self.inner.namespace_id()} }}"
def _modify_storage_options(
self, storage_options: Dict[str, str], count: int
) -> Dict[str, str]:
"""
Add incrementing credentials with expiration timestamp.
This simulates a credential rotation system where each call returns
new credentials that expire after credential_expires_in_seconds.
"""
# Start from base storage options (endpoint, region, allow_http, etc.)
# because DirectoryNamespace returns None for storage_options from
# describe_table/declare_table when no credential vendor is configured.
modified = copy.deepcopy(self.base_storage_options)
if storage_options:
modified.update(storage_options)
# Increment credentials to simulate rotation
modified["aws_access_key_id"] = f"AKID_{count}"
modified["aws_secret_access_key"] = f"SECRET_{count}"
modified["aws_session_token"] = f"TOKEN_{count}"
# Set expiration time
expires_at_millis = int(
(time.time() + self.credential_expires_in_seconds) * 1000
)
modified["expires_at_millis"] = str(expires_at_millis)
return modified
def declare_table(self, request: DeclareTableRequest) -> DeclareTableResponse:
"""Track declare_table calls and inject rotating credentials."""
with self.lock:
self.create_call_count += 1
count = self.create_call_count
response = self.inner.declare_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
def create_empty_table(
self, request: CreateEmptyTableRequest
) -> CreateEmptyTableResponse:
"""Track create_empty_table calls and inject rotating credentials."""
with self.lock:
self.create_call_count += 1
count = self.create_call_count
response = self.inner.create_empty_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
def describe_table(self, request: DescribeTableRequest) -> DescribeTableResponse:
"""Track describe_table calls and inject rotating credentials."""
with self.lock:
self.describe_call_count += 1
count = self.describe_call_count
response = self.inner.describe_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
# Pass through other methods to inner namespace
def list_tables(self, request):
return self.inner.list_tables(request)
def drop_table(self, request):
return self.inner.drop_table(request)
def list_namespaces(self, request):
return self.inner.list_namespaces(request)
def create_namespace(self, request):
return self.inner.create_namespace(request)
def drop_namespace(self, request):
return self.inner.drop_namespace(request)
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_create_table_with_provider(s3_bucket: str, use_custom: bool):
def test_namespace_create_table_with_provider(s3_bucket: str):
"""
Test creating a table through namespace with storage options provider.
Verifies:
- declare_table is called once to reserve location
- create_empty_table is called once to reserve location
- Storage options provider is auto-created
- Table can be written successfully
- Credentials are cached during write operations
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600, # 1 hour
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -299,8 +254,8 @@ def test_namespace_create_table_with_provider(s3_bucket: str, use_custom: bool):
namespace_path = [namespace_name]
# Verify initial state
assert get_declare_call_count(inner_ns_client) == 0
assert get_describe_call_count(inner_ns_client) == 0
assert namespace.get_create_call_count() == 0
assert namespace.get_describe_call_count() == 0
# Create table with data
data = pa.table(
@@ -311,12 +266,12 @@ def test_namespace_create_table_with_provider(s3_bucket: str, use_custom: bool):
}
)
table = db.create_table(table_name, data, namespace_path=namespace_path)
table = db.create_table(table_name, data, namespace=namespace_path)
# Verify declare_table was called exactly once
assert get_declare_call_count(inner_ns_client) == 1
# Verify create_empty_table was called exactly once
assert namespace.get_create_call_count() == 1
# describe_table should NOT be called during create in create mode
assert get_describe_call_count(inner_ns_client) == 0
assert namespace.get_describe_call_count() == 0
# Verify table was created successfully
assert table.name == table_name
@@ -326,8 +281,7 @@ def test_namespace_create_table_with_provider(s3_bucket: str, use_custom: bool):
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_open_table_with_provider(s3_bucket: str, use_custom: bool):
def test_namespace_open_table_with_provider(s3_bucket: str):
"""
Test opening a table through namespace with storage options provider.
@@ -339,14 +293,13 @@ def test_namespace_open_table_with_provider(s3_bucket: str, use_custom: bool):
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -364,21 +317,21 @@ def test_namespace_open_table_with_provider(s3_bucket: str, use_custom: bool):
}
)
db.create_table(table_name, data, namespace_path=namespace_path)
db.create_table(table_name, data, namespace=namespace_path)
initial_declare_count = get_declare_call_count(inner_ns_client)
assert initial_declare_count == 1
initial_create_count = namespace.get_create_call_count()
assert initial_create_count == 1
# Open the table
opened_table = db.open_table(table_name, namespace_path=namespace_path)
opened_table = db.open_table(table_name, namespace=namespace_path)
# Verify describe_table was called exactly once
assert get_describe_call_count(inner_ns_client) == 1
# declare_table should not be called again
assert get_declare_call_count(inner_ns_client) == initial_declare_count
assert namespace.get_describe_call_count() == 1
# create_empty_table should not be called again
assert namespace.get_create_call_count() == initial_create_count
# Perform multiple read operations
describe_count_after_open = get_describe_call_count(inner_ns_client)
describe_count_after_open = namespace.get_describe_call_count()
for _ in range(3):
result = opened_table.to_pandas()
@@ -387,72 +340,11 @@ def test_namespace_open_table_with_provider(s3_bucket: str, use_custom: bool):
assert count == 5
# Verify credentials were cached (no additional describe_table calls)
assert get_describe_call_count(inner_ns_client) == describe_count_after_open
@pytest.mark.skipif(
sys.platform == "win32",
reason="TODO: fix schema-only namespace metrics test on Windows",
)
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_create_schema_only_with_provider(use_custom: bool):
"""
Test creating a schema-only table through namespace with storage options provider.
Verifies:
- declare_table is called once to reserve the location
- describe_table is not needed during create in create mode
- the table can be reopened successfully afterward
- opening the table triggers exactly one describe_table call
"""
temp_dir = tempfile.mkdtemp()
try:
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=temp_dir,
storage_options={},
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
db.create_namespace([namespace_name])
table_name = f"test_table_{uuid.uuid4().hex}"
namespace_path = [namespace_name]
schema = pa.schema(
[
pa.field("id", pa.int64()),
pa.field("vector", pa.list_(pa.float32(), 2)),
pa.field("text", pa.string()),
]
)
assert get_declare_call_count(inner_ns_client) == 0
assert get_describe_call_count(inner_ns_client) == 0
table = db.create_table(
table_name, schema=schema, namespace_path=namespace_path
)
assert table.name == table_name
assert table.namespace == namespace_path
assert get_declare_call_count(inner_ns_client) == 1
assert get_describe_call_count(inner_ns_client) == 0
reopened_table = db.open_table(table_name, namespace_path=namespace_path)
assert reopened_table.schema == schema
assert get_declare_call_count(inner_ns_client) == 1
assert get_describe_call_count(inner_ns_client) == 1
finally:
shutil.rmtree(temp_dir, ignore_errors=True)
assert namespace.get_describe_call_count() == describe_count_after_open
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
def test_namespace_credential_refresh_on_read(s3_bucket: str):
"""
Test credential refresh when credentials expire during read operations.
@@ -463,14 +355,13 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3, # Short expiration for testing
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -487,16 +378,16 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
}
)
db.create_table(table_name, data, namespace_path=namespace_path)
db.create_table(table_name, data, namespace=namespace_path)
# Open table (triggers describe_table)
opened_table = db.open_table(table_name, namespace_path=namespace_path)
opened_table = db.open_table(table_name, namespace=namespace_path)
# Perform an immediate read (should use credentials from open)
result = opened_table.to_pandas()
assert len(result) == 3
describe_count_after_first_read = get_describe_call_count(inner_ns_client)
describe_count_after_first_read = namespace.get_describe_call_count()
# Wait for credentials to expire (3 seconds + buffer)
time.sleep(5)
@@ -505,7 +396,7 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
result = opened_table.to_pandas()
assert len(result) == 3
describe_count_after_refresh = get_describe_call_count(inner_ns_client)
describe_count_after_refresh = namespace.get_describe_call_count()
# Verify describe_table was called again (credential refresh)
refresh_delta = describe_count_after_refresh - describe_count_after_first_read
@@ -518,8 +409,7 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_credential_refresh_on_write(s3_bucket: str, use_custom: bool):
def test_namespace_credential_refresh_on_write(s3_bucket: str):
"""
Test credential refresh when credentials expire during write operations.
@@ -530,14 +420,13 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str, use_custom: bool)
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3, # Short expiration
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -554,7 +443,7 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str, use_custom: bool)
}
)
table = db.create_table(table_name, initial_data, namespace_path=namespace_path)
table = db.create_table(table_name, initial_data, namespace=namespace_path)
# Add more data (should use cached credentials)
new_data = pa.table(
@@ -582,26 +471,24 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str, use_custom: bool)
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_overwrite_mode(s3_bucket: str, use_custom: bool):
def test_namespace_overwrite_mode(s3_bucket: str):
"""
Test creating table in overwrite mode with credential tracking.
Verifies:
- First create calls declare_table exactly once
- First create calls create_empty_table exactly once
- Overwrite mode calls describe_table exactly once to check existence
- Storage options provider works in overwrite mode
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -618,11 +505,11 @@ def test_namespace_overwrite_mode(s3_bucket: str, use_custom: bool):
}
)
table = db.create_table(table_name, data1, namespace_path=namespace_path)
# Exactly one declare_table call for initial create
assert get_declare_call_count(inner_ns_client) == 1
table = db.create_table(table_name, data1, namespace=namespace_path)
# Exactly one create_empty_table call for initial create
assert namespace.get_create_call_count() == 1
# No describe_table calls in create mode
assert get_describe_call_count(inner_ns_client) == 0
assert namespace.get_describe_call_count() == 0
assert table.count_rows() == 2
# Overwrite the table
@@ -634,14 +521,14 @@ def test_namespace_overwrite_mode(s3_bucket: str, use_custom: bool):
)
table2 = db.create_table(
table_name, data2, namespace_path=namespace_path, mode="overwrite"
table_name, data2, namespace=namespace_path, mode="overwrite"
)
# Should still have only 1 declare_table call
# Should still have only 1 create_empty_table call
# (overwrite reuses location from describe_table)
assert get_declare_call_count(inner_ns_client) == 1
assert namespace.get_create_call_count() == 1
# Should have called describe_table exactly once to get existing table location
assert get_describe_call_count(inner_ns_client) == 1
assert namespace.get_describe_call_count() == 1
# Verify new data
assert table2.count_rows() == 3
@@ -650,8 +537,7 @@ def test_namespace_overwrite_mode(s3_bucket: str, use_custom: bool):
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_multiple_tables(s3_bucket: str, use_custom: bool):
def test_namespace_multiple_tables(s3_bucket: str):
"""
Test creating and opening multiple tables in the same namespace.
@@ -662,14 +548,13 @@ def test_namespace_multiple_tables(s3_bucket: str, use_custom: bool):
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -679,22 +564,22 @@ def test_namespace_multiple_tables(s3_bucket: str, use_custom: bool):
# Create first table
table1_name = f"table1_{uuid.uuid4().hex}"
data1 = pa.table({"id": [1, 2], "value": [10, 20]})
db.create_table(table1_name, data1, namespace_path=namespace_path)
db.create_table(table1_name, data1, namespace=namespace_path)
# Create second table
table2_name = f"table2_{uuid.uuid4().hex}"
data2 = pa.table({"id": [3, 4], "value": [30, 40]})
db.create_table(table2_name, data2, namespace_path=namespace_path)
db.create_table(table2_name, data2, namespace=namespace_path)
# Should have 2 declare calls (one per table)
assert get_declare_call_count(inner_ns_client) == 2
# Should have 2 create calls (one per table)
assert namespace.get_create_call_count() == 2
# Open both tables
opened1 = db.open_table(table1_name, namespace_path=namespace_path)
opened2 = db.open_table(table2_name, namespace_path=namespace_path)
opened1 = db.open_table(table1_name, namespace=namespace_path)
opened2 = db.open_table(table2_name, namespace=namespace_path)
# Should have 2 describe calls (one per open)
assert get_describe_call_count(inner_ns_client) == 2
assert namespace.get_describe_call_count() == 2
# Verify both tables work independently
assert opened1.count_rows() == 2
@@ -708,8 +593,7 @@ def test_namespace_multiple_tables(s3_bucket: str, use_custom: bool):
@pytest.mark.s3_test
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):
def test_namespace_with_schema_only(s3_bucket: str):
"""
Test creating empty table with schema only (no data).
@@ -720,14 +604,13 @@ def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):
"""
storage_options = copy.deepcopy(CONFIG)
ns_client, inner_ns_client = create_tracking_namespace(
namespace = TrackingNamespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(ns_client)
db = LanceNamespaceDBConnection(namespace)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -745,12 +628,12 @@ def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):
]
)
table = db.create_table(table_name, schema=schema, namespace_path=namespace_path)
table = db.create_table(table_name, schema=schema, namespace=namespace_path)
# Should have called declare_table once
assert get_declare_call_count(inner_ns_client) == 1
# Should have called create_empty_table once
assert namespace.get_create_call_count() == 1
# Should NOT have called describe_table in create mode
assert get_describe_call_count(inner_ns_client) == 0
assert namespace.get_describe_call_count() == 0
# Verify empty table
assert table.count_rows() == 0

View File

@@ -522,50 +522,6 @@ def test_no_split_names(some_table: Table):
assert permutations[1].num_rows == 500
def test_permutations_metadata_without_split_names_key(mem_db: DBConnection):
"""Regression: schema metadata present but missing split_names key must not crash.
Previously, `.get(b"split_names", None).decode()` was called unconditionally,
so any permutation table whose metadata dict had other keys but no split_names
raised AttributeError: 'NoneType' has no attribute 'decode'.
"""
base = mem_db.create_table("base_nosplit", pa.table({"x": range(10)}))
# Build a permutation-like table that carries some metadata but NOT split_names.
raw = pa.table(
{
"row_id": pa.array(range(10), type=pa.uint64()),
"split_id": pa.array([0] * 10, type=pa.uint32()),
}
).replace_schema_metadata({b"other_key": b"other_value"})
perm_tbl = mem_db.create_table("perm_nosplit", raw)
permutations = Permutations(base, perm_tbl)
assert permutations.split_names == []
assert permutations.split_dict == {}
def test_from_tables_string_split_missing_names_key(mem_db: DBConnection):
"""Regression: from_tables() with a string split must raise ValueError, not
AttributeError.
Previously, `.get(b"split_names", None).decode()` crashed with AttributeError
when the metadata dict existed but had no split_names key.
"""
base = mem_db.create_table("base_strsplit", pa.table({"x": range(10)}))
raw = pa.table(
{
"row_id": pa.array(range(10), type=pa.uint64()),
"split_id": pa.array([0] * 10, type=pa.uint32()),
}
).replace_schema_metadata({b"other_key": b"other_value"})
perm_tbl = mem_db.create_table("perm_strsplit", raw)
with pytest.raises(ValueError, match="no split names are defined"):
Permutation.from_tables(base, perm_tbl, split="train")
@pytest.fixture
def some_perm_table(some_table: Table) -> Table:
return (
@@ -1095,43 +1051,3 @@ def test_getitems_invalid_offset(some_permutation: Permutation):
"""Test __getitems__ with an out-of-range offset raises an error."""
with pytest.raises(Exception):
some_permutation.__getitems__([999999])
def test_map_basic(mem_db):
"""map() applies fn per row and yields list[dict]."""
tbl = mem_db.create_table(
"test_table", pa.table({"x": range(10), "y": range(10, 20)})
)
perm = Permutation.identity(tbl).map(lambda row: {"sum": row["x"] + row["y"]})
rows = perm.__getitems__([0, 1, 2])
assert isinstance(rows, list)
assert rows == [{"sum": 10}, {"sum": 12}, {"sum": 14}]
def test_map_in_iter(mem_db):
"""map() integrates with iter() and produces list-of-dicts batches."""
tbl = mem_db.create_table("test_table", pa.table({"x": range(10)}))
perm = (
Permutation.identity(tbl)
.map(lambda row: {"y": row["x"] * 2})
.with_batch_size(5)
)
batches = list(perm.iter(5, skip_last_batch=False))
assert len(batches) == 2
assert batches[0] == [{"y": i * 2} for i in range(5)]
assert batches[1] == [{"y": i * 2} for i in range(5, 10)]
def test_map_can_add_columns(mem_db):
"""map() can add or change keys in the row dict."""
tbl = mem_db.create_table("test_table", pa.table({"x": range(3)}))
perm = Permutation.identity(tbl).map(
lambda row: {"x": row["x"], "doubled": row["x"] * 2}
)
assert perm.__getitems__([0, 1, 2]) == [
{"x": 0, "doubled": 0},
{"x": 1, "doubled": 2},
{"x": 2, "doubled": 4},
]

View File

@@ -3,7 +3,6 @@
import json
from datetime import date, datetime
from enum import Enum
from typing import List, Optional, Tuple
import pyarrow as pa
@@ -674,29 +673,3 @@ async def test_aliases_in_lance_model_async(mem_db_async):
assert hasattr(model, "name")
assert hasattr(model, "distance")
assert model.distance < 0.01
def test_enum_types():
"""Enum fields should map to the Arrow type of their value (issue #1846)."""
class StrStatus(str, Enum):
PENDING = "pending"
RUNNING = "running"
DONE = "done"
class IntPriority(int, Enum):
LOW = 1
MEDIUM = 2
HIGH = 3
class TestModel(pydantic.BaseModel):
status: StrStatus
priority: IntPriority
opt_status: Optional[StrStatus] = None
schema = pydantic_to_schema(TestModel)
assert schema.field("status").type == pa.dictionary(pa.int32(), pa.utf8())
assert schema.field("priority").type == pa.int64()
assert schema.field("opt_status").type == pa.dictionary(pa.int32(), pa.utf8())
assert schema.field("opt_status").nullable

View File

@@ -1385,7 +1385,7 @@ def test_query_timeout(tmp_path):
}
)
table = db.create_table("test", data)
table.create_fts_index("text")
table.create_fts_index("text", use_tantivy=False)
with pytest.raises(Exception, match="Query timeout"):
table.search().where("text = 'a'").to_list(timeout=timedelta(0))

View File

@@ -26,8 +26,11 @@ from lancedb.rerankers import (
)
from lancedb.table import LanceTable
# Tests rely on FTS index
pytest.importorskip("lancedb.fts")
def get_test_table(tmp_path):
def get_test_table(tmp_path, use_tantivy):
db = lancedb.connect(tmp_path)
# Create a LanceDB table schema with a vector and a text column
emb = EmbeddingFunctionRegistry.get_instance().get("test").create()
@@ -95,7 +98,7 @@ def get_test_table(tmp_path):
)
# Create a fts index
table.create_fts_index("text", replace=True)
table.create_fts_index("text", use_tantivy=use_tantivy, replace=True)
return table, MyTable
@@ -205,8 +208,8 @@ def _run_test_reranker(reranker, table, query, query_vector, schema):
assert len(result) == 20 and result == result_arrow
def _run_test_hybrid_reranker(reranker, tmp_path):
table, schema = get_test_table(tmp_path)
def _run_test_hybrid_reranker(reranker, tmp_path, use_tantivy):
table, schema = get_test_table(tmp_path, use_tantivy)
# The default reranker
result1 = (
table.search(
@@ -282,7 +285,8 @@ def _run_test_hybrid_reranker(reranker, tmp_path):
)
def test_linear_combination(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_linear_combination(tmp_path, use_tantivy):
reranker = LinearCombinationReranker()
vector_results = pa.Table.from_pydict(
@@ -309,20 +313,22 @@ def test_linear_combination(tmp_path):
assert "_score" not in combined_results.column_names
assert "_relevance_score" in combined_results.column_names
_run_test_hybrid_reranker(reranker, tmp_path)
_run_test_hybrid_reranker(reranker, tmp_path, use_tantivy)
def test_rrf_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_rrf_reranker(tmp_path, use_tantivy):
reranker = RRFReranker()
_run_test_hybrid_reranker(reranker, tmp_path)
_run_test_hybrid_reranker(reranker, tmp_path, use_tantivy)
def test_mrr_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_mrr_reranker(tmp_path, use_tantivy):
reranker = MRRReranker()
_run_test_hybrid_reranker(reranker, tmp_path)
_run_test_hybrid_reranker(reranker, tmp_path, use_tantivy)
# Test multi-vector part
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
query = "single player experience"
rs1 = table.search(query, vector_column_name="vector").limit(10).with_row_id(True)
rs2 = (
@@ -357,7 +363,7 @@ def test_rrf_reranker_distance():
table = db.create_table("test", data)
table.create_index(num_partitions=1, num_sub_vectors=2)
table.create_fts_index("text")
table.create_fts_index("text", use_tantivy=False)
reranker = RRFReranker(return_score="all")
@@ -416,31 +422,35 @@ def test_rrf_reranker_distance():
@pytest.mark.skipif(
os.environ.get("COHERE_API_KEY") is None, reason="COHERE_API_KEY not set"
)
def test_cohere_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_cohere_reranker(tmp_path, use_tantivy):
pytest.importorskip("cohere")
reranker = CohereReranker()
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
_run_test_reranker(reranker, table, "single player experience", None, schema)
def test_cross_encoder_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_cross_encoder_reranker(tmp_path, use_tantivy):
pytest.importorskip("sentence_transformers")
reranker = CrossEncoderReranker()
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
_run_test_reranker(reranker, table, "single player experience", None, schema)
def test_colbert_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_colbert_reranker(tmp_path, use_tantivy):
pytest.importorskip("rerankers")
reranker = ColbertReranker()
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
_run_test_reranker(reranker, table, "single player experience", None, schema)
def test_answerdotai_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_answerdotai_reranker(tmp_path, use_tantivy):
pytest.importorskip("rerankers")
reranker = AnswerdotaiRerankers()
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
_run_test_reranker(reranker, table, "single player experience", None, schema)
@@ -449,9 +459,10 @@ def test_answerdotai_reranker(tmp_path):
or os.environ.get("OPENAI_BASE_URL") is not None,
reason="OPENAI_API_KEY not set",
)
def test_openai_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_openai_reranker(tmp_path, use_tantivy):
pytest.importorskip("openai")
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
reranker = OpenaiReranker()
_run_test_reranker(reranker, table, "single player experience", None, schema)
@@ -459,9 +470,10 @@ def test_openai_reranker(tmp_path):
@pytest.mark.skipif(
os.environ.get("JINA_API_KEY") is None, reason="JINA_API_KEY not set"
)
def test_jina_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_jina_reranker(tmp_path, use_tantivy):
pytest.importorskip("jina")
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
reranker = JinaReranker()
_run_test_reranker(reranker, table, "single player experience", None, schema)
@@ -469,10 +481,11 @@ def test_jina_reranker(tmp_path):
@pytest.mark.skipif(
os.environ.get("VOYAGE_API_KEY") is None, reason="VOYAGE_API_KEY not set"
)
def test_voyageai_reranker(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_voyageai_reranker(tmp_path, use_tantivy):
pytest.importorskip("voyageai")
reranker = VoyageAIReranker(model_name="rerank-2.5")
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
_run_test_reranker(reranker, table, "single player experience", None, schema)
@@ -491,7 +504,7 @@ def test_empty_result_reranker():
# Create empty table with schema
empty_table = db.create_table("empty_table", schema=schema, mode="overwrite")
empty_table.create_fts_index("text", replace=True)
empty_table.create_fts_index("text", use_tantivy=False, replace=True)
for reranker in [
CrossEncoderReranker(),
# ColbertReranker(),
@@ -590,10 +603,11 @@ def test_empty_hybrid_result_reranker():
assert "_rowid" in result.column_names
def test_cross_encoder_reranker_return_all(tmp_path):
@pytest.mark.parametrize("use_tantivy", [True, False])
def test_cross_encoder_reranker_return_all(tmp_path, use_tantivy):
pytest.importorskip("sentence_transformers")
reranker = CrossEncoderReranker(return_score="all")
table, schema = get_test_table(tmp_path)
table, schema = get_test_table(tmp_path, use_tantivy)
query = "single player experience"
result = (
table.search(query, query_type="hybrid", vector_column_name="vector")

View File

@@ -242,8 +242,8 @@ def test_s3_dynamodb_sync(s3_bucket: str, commit_table: str, monkeypatch):
# FTS indices should error since they are not supported yet.
with pytest.raises(
ValueError,
match="Tantivy-based FTS has been removed",
NotImplementedError,
match="Full-text search is only supported on the local filesystem",
):
table.create_fts_index("x", use_tantivy=True)

View File

@@ -3,7 +3,6 @@
import os
import sys
from datetime import date, datetime, timedelta
from time import sleep
from typing import List
@@ -1050,231 +1049,6 @@ def test_add_with_nans(mem_db: DBConnection):
assert np.allclose(v, np.array([0.0, 0.0]))
def test_add_with_empty_fixed_size_list_drops_bad_rows(mem_db: DBConnection):
class Schema(LanceModel):
text: str
embedding: Vector(16)
table = mem_db.create_table("test_empty_embeddings", schema=Schema)
table.add(
[
{"text": "hello", "embedding": []},
{"text": "bar", "embedding": [0.1] * 16},
],
on_bad_vectors="drop",
)
data = table.to_arrow()
assert data["text"].to_pylist() == ["bar"]
assert np.allclose(data["embedding"].to_pylist()[0], np.array([0.1] * 16))
def test_add_with_integer_embeddings_preserves_casting(mem_db: DBConnection):
class Schema(LanceModel):
text: str
embedding: Vector(4)
table = mem_db.create_table("test_integer_embeddings", schema=Schema)
table.add(
[{"text": "foo", "embedding": [1, 2, 3, 4]}],
on_bad_vectors="drop",
)
assert table.to_arrow()["embedding"].to_pylist() == [[1.0, 2.0, 3.0, 4.0]]
def test_on_bad_vectors_does_not_handle_non_vector_fixed_size_lists(
mem_db: DBConnection,
):
schema = pa.schema(
[
pa.field("vector", pa.list_(pa.float32(), 4)),
pa.field("bbox", pa.list_(pa.float32(), 4)),
]
)
table = mem_db.create_table("test_bbox_schema", schema=schema)
with pytest.raises(RuntimeError, match="FixedSizeListType"):
table.add(
[{"vector": [1.0, 2.0, 3.0, 4.0], "bbox": [0.0, 1.0]}],
on_bad_vectors="drop",
)
def test_on_bad_vectors_does_not_handle_custom_named_fixed_size_lists(
mem_db: DBConnection,
):
schema = pa.schema([pa.field("features", pa.list_(pa.float32(), 16))])
table = mem_db.create_table("test_custom_named_fixed_size_vector", schema=schema)
with pytest.raises(RuntimeError, match="FixedSizeListType"):
table.add(
[
{"features": []},
{"features": [0.1] * 16},
],
on_bad_vectors="drop",
)
def test_on_bad_vectors_with_schema_list_vector_still_sanitizes(mem_db: DBConnection):
schema = pa.schema([pa.field("vector", pa.list_(pa.float32()))])
table = mem_db.create_table("test_schema_list_vector", schema=schema)
table.add(
[
{"vector": [1.0, 2.0]},
{"vector": [3.0]},
{"vector": [4.0, 5.0]},
],
on_bad_vectors="drop",
)
assert table.to_arrow()["vector"].to_pylist() == [[1.0, 2.0], [4.0, 5.0]]
def test_on_bad_vectors_handles_typed_custom_fixed_vectors_for_list_schema(
mem_db: DBConnection,
):
schema = pa.schema([pa.field("vec", pa.list_(pa.float32()))])
table = mem_db.create_table("test_typed_custom_fixed_vector", schema=schema)
data = pa.table(
{
"vec": pa.array(
[[float("nan")] * 16, [1.0] * 16],
type=pa.list_(pa.float32(), 16),
)
}
)
table.add(data, on_bad_vectors="drop")
assert table.to_arrow()["vec"].to_pylist() == [[1.0] * 16]
def test_on_bad_vectors_fill_preserves_arrow_nested_vector_type(mem_db: DBConnection):
schema = pa.schema([pa.field("vector", pa.list_(pa.float32()))])
table = mem_db.create_table("test_fill_arrow_nested_type", schema=schema)
data = pa.table(
{
"vector": pa.array(
[[1.0, 2.0], [float("nan"), 3.0]],
type=pa.list_(pa.float32(), 2),
)
}
)
table.add(
data,
on_bad_vectors="fill",
fill_value=0.0,
)
assert table.to_arrow()["vector"].to_pylist() == [[1.0, 2.0], [0.0, 0.0]]
@pytest.mark.parametrize(
("table_name", "batch1", "expected"),
[
(
"test_schema_list_vector_empty_prefix",
pa.record_batch({"vector": [[], []]}),
[[], [], [1.0, 2.0], [3.0, 4.0]],
),
(
"test_schema_list_vector_all_bad_prefix",
pa.record_batch({"vector": [[float("nan")] * 3, [float("nan")] * 3]}),
[[1.0, 2.0], [3.0, 4.0]],
),
],
)
def test_on_bad_vectors_with_schema_list_vector_ignores_invalid_prefix_batches(
mem_db: DBConnection,
table_name: str,
batch1: pa.RecordBatch,
expected: list,
):
schema = pa.schema([pa.field("vector", pa.list_(pa.float32()))])
table = mem_db.create_table(table_name, schema=schema)
batch2 = pa.record_batch({"vector": [[1.0, 2.0], [3.0, 4.0]]})
reader = pa.RecordBatchReader.from_batches(batch1.schema, [batch1, batch2])
table.add(reader, on_bad_vectors="drop")
assert table.to_arrow()["vector"].to_pylist() == expected
def test_on_bad_vectors_with_multiple_vectors_locks_dim_after_final_drop(
mem_db: DBConnection,
):
registry = EmbeddingFunctionRegistry.get_instance()
func = MockTextEmbeddingFunction.create()
metadata = registry.get_table_metadata(
[
EmbeddingFunctionConfig(
source_column="text1", vector_column="vec1", function=func
),
EmbeddingFunctionConfig(
source_column="text2", vector_column="vec2", function=func
),
]
)
schema = pa.schema(
[
pa.field("vec1", pa.list_(pa.float32())),
pa.field("vec2", pa.list_(pa.float32())),
],
metadata=metadata,
)
table = mem_db.create_table("test_multi_vector_dim_lock", schema=schema)
batch1 = pa.record_batch(
{
"vec1": [[1.0, 2.0, 3.0], [10.0, 11.0]],
"vec2": [[float("nan"), 0.0], [5.0, 6.0]],
}
)
batch2 = pa.record_batch(
{
"vec1": [[20.0, 21.0], [30.0, 31.0]],
"vec2": [[7.0, 8.0], [9.0, 10.0]],
}
)
reader = pa.RecordBatchReader.from_batches(batch1.schema, [batch1, batch2])
table.add(reader, on_bad_vectors="drop")
data = table.to_arrow()
assert data["vec1"].to_pylist() == [[10.0, 11.0], [20.0, 21.0], [30.0, 31.0]]
assert data["vec2"].to_pylist() == [[5.0, 6.0], [7.0, 8.0], [9.0, 10.0]]
def test_on_bad_vectors_does_not_handle_non_vector_list_columns(mem_db: DBConnection):
schema = pa.schema([pa.field("embedding_history", pa.list_(pa.float32()))])
table = mem_db.create_table("test_non_vector_list_schema", schema=schema)
table.add(
[
{"embedding_history": [1.0, 2.0]},
{"embedding_history": [3.0]},
],
on_bad_vectors="drop",
)
assert table.to_arrow()["embedding_history"].to_pylist() == [
[1.0, 2.0],
[3.0],
]
def test_on_bad_vectors_all_null_schema_vector_batches_do_not_crash(
mem_db: DBConnection,
):
schema = pa.schema([pa.field("vector", pa.list_(pa.float32(), 2), nullable=True)])
table = mem_db.create_table("test_all_null_vector_batch", schema=schema)
table.add([{"vector": None}], on_bad_vectors="drop")
assert table.to_arrow()["vector"].to_pylist() == [None]
def test_restore(mem_db: DBConnection):
table = mem_db.create_table(
"my_table",
@@ -1948,6 +1722,7 @@ def setup_hybrid_search_table(db: DBConnection, embedding_func):
def test_hybrid_search(tmp_db: DBConnection):
# This test uses an FTS index
pytest.importorskip("lancedb.fts")
pytest.importorskip("lance")
table, MyTable, emb = setup_hybrid_search_table(tmp_db, "test")
@@ -2018,6 +1793,7 @@ def test_hybrid_search(tmp_db: DBConnection):
def test_hybrid_search_metric_type(tmp_db: DBConnection):
# This test uses an FTS index
pytest.importorskip("lancedb.fts")
pytest.importorskip("lance")
# Need to use nonnorm as the embedding function so l2 and dot results
@@ -2039,13 +1815,6 @@ def test_hybrid_search_metric_type(tmp_db: DBConnection):
@pytest.mark.parametrize(
"consistency_interval", [None, timedelta(seconds=0), timedelta(seconds=0.1)]
)
@pytest.mark.skipif(
sys.platform == "win32",
reason=(
"TODO: directory namespace is not supported on Windows yet; "
"re-enable after that is fixed."
),
)
def test_consistency(tmp_path, consistency_interval):
db = lancedb.connect(tmp_path)
table = db.create_table("my_table", data=[{"id": 0}])
@@ -2066,6 +1835,7 @@ def test_consistency(tmp_path, consistency_interval):
elif consistency_interval == timedelta(seconds=0):
assert table2.version == table.version
else:
# (consistency_interval == timedelta(seconds=0.1)
assert table2.version == table.version - 1
sleep(0.1)
assert table2.version == table.version
@@ -2338,7 +2108,7 @@ def test_stats(mem_db: DBConnection):
stats = table.stats()
print(f"{stats=}")
assert stats == {
"total_bytes": 60,
"total_bytes": 38,
"num_rows": 2,
"num_indices": 0,
"fragment_stats": {

View File

@@ -15,10 +15,8 @@ from lancedb.table import (
_cast_to_target_schema,
_handle_bad_vectors,
_into_pyarrow_reader,
_infer_target_schema,
_merge_metadata,
_sanitize_data,
sanitize_create_table,
_infer_target_schema,
)
import pyarrow as pa
import pandas as pd
@@ -306,117 +304,6 @@ def test_handle_bad_vectors_noop():
assert output["vector"] == vector
def test_handle_bad_vectors_updates_reader_schema_for_target_schema():
data = pa.table({"vector": [[1, 2, 3, 4]]})
target_schema = pa.schema([pa.field("vector", pa.list_(pa.float32(), 4))])
output = _handle_bad_vectors(
data.to_reader(),
on_bad_vectors="drop",
target_schema=target_schema,
)
assert output.schema == pa.schema([pa.field("vector", pa.list_(pa.float32()))])
assert output.read_all()["vector"].to_pylist() == [[1.0, 2.0, 3.0, 4.0]]
def test_sanitize_data_keeps_target_field_metadata():
source_field = pa.field(
"vector",
pa.list_(pa.float32(), 2),
metadata={b"source": b"drop-me"},
)
target_field = pa.field(
"vector",
pa.list_(pa.float32(), 2),
metadata={b"target": b"keep-me"},
)
data = pa.table(
{"vector": pa.array([[1.0, 2.0]], type=pa.list_(pa.float32(), 2))},
schema=pa.schema([source_field]),
)
output = _sanitize_data(
data,
target_schema=pa.schema([target_field]),
on_bad_vectors="drop",
).read_all()
assert output.schema.field("vector").metadata == {b"target": b"keep-me"}
def test_sanitize_data_uses_separate_embedding_metadata_for_bad_vectors():
registry = EmbeddingFunctionRegistry.get_instance()
conf = EmbeddingFunctionConfig(
source_column="text",
vector_column="custom_vector",
function=MockTextEmbeddingFunction.create(),
)
metadata = registry.get_table_metadata([conf])
schema = pa.schema(
{
"text": pa.string(),
"custom_vector": pa.list_(pa.float32(), 10),
},
metadata={b"note": b"keep-me"},
)
data = pa.table(
{
"text": ["bad", "good"],
"custom_vector": [[1.0] * 9, [2.0] * 10],
}
)
output = _sanitize_data(
data,
target_schema=schema,
metadata=metadata,
on_bad_vectors="drop",
).read_all()
assert output["text"].to_pylist() == ["good"]
assert output.schema.metadata[b"note"] == b"keep-me"
assert b"embedding_functions" in output.schema.metadata
def test_sanitize_create_table_merges_and_overrides_embedding_metadata():
registry = EmbeddingFunctionRegistry.get_instance()
old_conf = EmbeddingFunctionConfig(
source_column="text",
vector_column="old_vector",
function=MockTextEmbeddingFunction.create(),
)
new_conf = EmbeddingFunctionConfig(
source_column="text",
vector_column="custom_vector",
function=MockTextEmbeddingFunction.create(),
)
metadata = registry.get_table_metadata([new_conf])
schema = pa.schema(
{
"text": pa.string(),
"custom_vector": pa.list_(pa.float32(), 10),
},
metadata=_merge_metadata(
{b"note": b"keep-me"},
registry.get_table_metadata([old_conf]),
),
)
data, schema = sanitize_create_table(
pa.table({"text": ["good"]}),
schema,
metadata=metadata,
on_bad_vectors="drop",
)
assert schema.metadata[b"note"] == b"keep-me"
assert b"embedding_functions" in schema.metadata
assert data.schema.metadata[b"note"] == b"keep-me"
funcs = EmbeddingFunctionRegistry.get_instance().parse_functions(schema.metadata)
assert set(funcs.keys()) == {"custom_vector"}
class TestModel(lancedb.pydantic.LanceModel):
a: Optional[int]
b: Optional[int]

View File

@@ -1,17 +1,11 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use std::{
collections::{HashMap, HashSet},
sync::Arc,
time::Duration,
};
use std::{collections::HashMap, sync::Arc, time::Duration};
use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow};
use lancedb::{
connection::Connection as LanceConnection,
connection::NamespaceClientPushdownOperation,
database::namespace::LanceNamespaceDatabase,
database::{CreateTableMode, Database, ReadConsistency},
};
use pyo3::{
@@ -23,9 +17,8 @@ use pyo3::{
use pyo3_async_runtimes::tokio::future_into_py;
use crate::{
error::PythonErrorExt,
namespace::{create_namespace_storage_options_provider, extract_namespace_arc},
table::Table,
error::PythonErrorExt, namespace::extract_namespace_arc,
storage_options::py_object_to_storage_options_provider, table::Table,
};
#[pyclass]
@@ -45,29 +38,6 @@ impl Connection {
}
}
fn parse_namespace_client_pushdown_operations(
operations: Option<Vec<String>>,
) -> PyResult<HashSet<NamespaceClientPushdownOperation>> {
let mut parsed = HashSet::new();
for operation in operations.unwrap_or_default() {
match operation.as_str() {
"QueryTable" => {
parsed.insert(NamespaceClientPushdownOperation::QueryTable);
}
"CreateTable" => {
parsed.insert(NamespaceClientPushdownOperation::CreateTable);
}
_ => {
return Err(PyValueError::new_err(format!(
"Invalid pushdown operation: {}",
operation
)));
}
}
}
Ok(parsed)
}
impl Connection {
fn parse_create_mode_str(mode: &str) -> PyResult<CreateTableMode> {
match mode {
@@ -117,16 +87,16 @@ impl Connection {
})
}
#[pyo3(signature = (namespace_path=None, start_after=None, limit=None))]
#[pyo3(signature = (namespace=vec![], start_after=None, limit=None))]
pub fn table_names(
self_: PyRef<'_, Self>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
start_after: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let mut op = inner.table_names();
op = op.namespace(namespace_path.unwrap_or_default());
op = op.namespace(namespace);
if let Some(start_after) = start_after {
op = op.start_after(start_after);
}
@@ -137,43 +107,34 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, mode, data, namespace_path=None, storage_options=None, location=None, namespace_client=None))]
#[pyo3(signature = (name, mode, data, namespace=vec![], storage_options=None, storage_options_provider=None, location=None))]
pub fn create_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
data: Bound<'_, PyAny>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let mode = Self::parse_create_mode_str(mode)?;
let batches: Box<dyn arrow::array::RecordBatchReader + Send> =
Box::new(ArrowArrayStreamReader::from_pyarrow_bound(&data)?);
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner.create_table(name.clone(), batches).mode(mode);
let mut builder = inner.create_table(name, batches).mode(mode);
builder = builder.namespace(ns_path.clone());
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client, table_id);
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
builder = builder.storage_options_provider(provider);
}
if let Some(location) = location {
builder = builder.location(location);
}
@@ -185,44 +146,33 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, mode, schema, namespace_path=None, storage_options=None, location=None, namespace_client=None))]
#[pyo3(signature = (name, mode, schema, namespace=vec![], storage_options=None, storage_options_provider=None, location=None))]
pub fn create_empty_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
schema: Bound<'_, PyAny>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let mode = Self::parse_create_mode_str(mode)?;
let schema = Schema::from_pyarrow_bound(&schema)?;
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner
.create_empty_table(name.clone(), Arc::new(schema))
.mode(mode);
let mut builder = inner.create_empty_table(name, Arc::new(schema)).mode(mode);
builder = builder.namespace(ns_path.clone());
builder = builder.namespace(namespace);
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client, table_id);
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
builder = builder.storage_options_provider(provider);
}
if let Some(location) = location {
builder = builder.location(location);
}
@@ -234,44 +184,45 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, namespace_path=None, storage_options=None, index_cache_size=None, location=None, namespace_client=None, managed_versioning=None))]
#[pyo3(signature = (name, namespace=vec![], storage_options = None, storage_options_provider=None, index_cache_size = None, location=None, namespace_client=None, managed_versioning=None))]
pub fn open_table(
self_: PyRef<'_, Self>,
name: String,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
index_cache_size: Option<u32>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
managed_versioning: Option<bool>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner.open_table(name.clone());
builder = builder.namespace(ns_path.clone());
let mut builder = inner.open_table(name);
builder = builder.namespace(namespace.clone());
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client.clone(), table_id);
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
builder = builder.storage_options_provider(provider);
builder = builder.namespace_client(ns_client);
}
if let Some(index_cache_size) = index_cache_size {
builder = builder.index_cache_size(index_cache_size);
}
if let Some(location) = location {
builder = builder.location(location);
}
// Extract namespace client from Python object if provided
let ns_client = if let Some(ns_obj) = namespace_client {
let py = self_.py();
Some(extract_namespace_arc(py, ns_obj)?)
} else {
None
};
if let Some(ns_client) = ns_client {
builder = builder.namespace_client(ns_client);
}
// Pass managed_versioning if provided to avoid redundant describe_table call
if let Some(enabled) = managed_versioning {
builder = builder.managed_versioning(enabled);
@@ -283,12 +234,12 @@ impl Connection {
})
}
#[pyo3(signature = (target_table_name, source_uri, target_namespace_path=None, source_version=None, source_tag=None, is_shallow=true))]
#[pyo3(signature = (target_table_name, source_uri, target_namespace=vec![], source_version=None, source_tag=None, is_shallow=true))]
pub fn clone_table(
self_: PyRef<'_, Self>,
target_table_name: String,
source_uri: String,
target_namespace_path: Option<Vec<String>>,
target_namespace: Vec<String>,
source_version: Option<u64>,
source_tag: Option<String>,
is_shallow: bool,
@@ -296,7 +247,7 @@ impl Connection {
let inner = self_.get_inner()?.clone();
let mut builder = inner.clone_table(target_table_name, source_uri);
builder = builder.target_namespace(target_namespace_path.unwrap_or_default());
builder = builder.target_namespace(target_namespace);
if let Some(version) = source_version {
builder = builder.source_version(version);
}
@@ -311,56 +262,52 @@ impl Connection {
})
}
#[pyo3(signature = (cur_name, new_name, cur_namespace_path=None, new_namespace_path=None))]
#[pyo3(signature = (cur_name, new_name, cur_namespace=vec![], new_namespace=vec![]))]
pub fn rename_table(
self_: PyRef<'_, Self>,
cur_name: String,
new_name: String,
cur_namespace_path: Option<Vec<String>>,
new_namespace_path: Option<Vec<String>>,
cur_namespace: Vec<String>,
new_namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let cur_ns_path = cur_namespace_path.unwrap_or_default();
let new_ns_path = new_namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner
.rename_table(cur_name, new_name, &cur_ns_path, &new_ns_path)
.rename_table(cur_name, new_name, &cur_namespace, &new_namespace)
.await
.infer_error()
})
}
#[pyo3(signature = (name, namespace_path=None))]
#[pyo3(signature = (name, namespace=vec![]))]
pub fn drop_table(
self_: PyRef<'_, Self>,
name: String,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let ns_path = namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner.drop_table(name, &ns_path).await.infer_error()
inner.drop_table(name, &namespace).await.infer_error()
})
}
#[pyo3(signature = (namespace_path=None,))]
#[pyo3(signature = (namespace=vec![],))]
pub fn drop_all_tables(
self_: PyRef<'_, Self>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let ns_path = namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner.drop_all_tables(&ns_path).await.infer_error()
inner.drop_all_tables(&namespace).await.infer_error()
})
}
// Namespace management methods
#[pyo3(signature = (namespace_path=None, page_token=None, limit=None))]
#[pyo3(signature = (namespace=vec![], page_token=None, limit=None))]
pub fn list_namespaces(
self_: PyRef<'_, Self>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
page_token: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -369,7 +316,11 @@ impl Connection {
future_into_py(py, async move {
use lance_namespace::models::ListNamespacesRequest;
let request = ListNamespacesRequest {
id: namespace_path,
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
page_token,
limit: limit.map(|l| l as i32),
..Default::default()
@@ -384,10 +335,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace_path, mode=None, properties=None))]
#[pyo3(signature = (namespace, mode=None, properties=None))]
pub fn create_namespace(
self_: PyRef<'_, Self>,
namespace_path: Vec<String>,
namespace: Vec<String>,
mode: Option<String>,
properties: Option<std::collections::HashMap<String, String>>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -403,7 +354,11 @@ impl Connection {
_ => None,
});
let request = CreateNamespaceRequest {
id: Some(namespace_path),
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
mode: mode_str,
properties,
..Default::default()
@@ -417,10 +372,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace_path, mode=None, behavior=None))]
#[pyo3(signature = (namespace, mode=None, behavior=None))]
pub fn drop_namespace(
self_: PyRef<'_, Self>,
namespace_path: Vec<String>,
namespace: Vec<String>,
mode: Option<String>,
behavior: Option<String>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -440,7 +395,11 @@ impl Connection {
_ => None,
});
let request = DropNamespaceRequest {
id: Some(namespace_path),
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
mode: mode_str,
behavior: behavior_str,
..Default::default()
@@ -455,17 +414,21 @@ impl Connection {
})
}
#[pyo3(signature = (namespace_path,))]
#[pyo3(signature = (namespace,))]
pub fn describe_namespace(
self_: PyRef<'_, Self>,
namespace_path: Vec<String>,
namespace: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
future_into_py(py, async move {
use lance_namespace::models::DescribeNamespaceRequest;
let request = DescribeNamespaceRequest {
id: Some(namespace_path),
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
..Default::default()
};
let response = inner.describe_namespace(request).await.infer_error()?;
@@ -477,10 +440,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace_path=None, page_token=None, limit=None))]
#[pyo3(signature = (namespace=vec![], page_token=None, limit=None))]
pub fn list_tables(
self_: PyRef<'_, Self>,
namespace_path: Option<Vec<String>>,
namespace: Vec<String>,
page_token: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -489,7 +452,11 @@ impl Connection {
future_into_py(py, async move {
use lance_namespace::models::ListTablesRequest;
let request = ListTablesRequest {
id: namespace_path,
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
page_token,
limit: limit.map(|l| l as i32),
..Default::default()
@@ -503,29 +470,10 @@ impl Connection {
})
})
}
/// Get the configuration for constructing an equivalent namespace client.
/// Returns a dict with:
/// - "impl": "dir" for DirectoryNamespace, "rest" for RestNamespace
/// - "properties": configuration properties for the namespace
#[pyo3(signature = ())]
pub fn namespace_client_config(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
future_into_py(py, async move {
let (impl_type, properties) = inner.namespace_client_config().await.infer_error()?;
Python::attach(|py| -> PyResult<Py<PyDict>> {
let dict = PyDict::new(py);
dict.set_item("impl", impl_type)?;
dict.set_item("properties", properties)?;
Ok(dict.unbind())
})
})
}
}
#[pyfunction]
#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None, manifest_enabled=false, namespace_client_properties=None))]
#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None))]
#[allow(clippy::too_many_arguments)]
pub fn connect(
py: Python<'_>,
@@ -537,8 +485,6 @@ pub fn connect(
client_config: Option<PyClientConfig>,
storage_options: Option<HashMap<String, String>>,
session: Option<crate::session::Session>,
manifest_enabled: bool,
namespace_client_properties: Option<HashMap<String, String>>,
) -> PyResult<Bound<'_, PyAny>> {
future_into_py(py, async move {
let mut builder = lancedb::connect(&uri);
@@ -558,12 +504,6 @@ pub fn connect(
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
if manifest_enabled {
builder = builder.manifest_enabled(true);
}
if let Some(namespace_client_properties) = namespace_client_properties {
builder = builder.namespace_client_properties(namespace_client_properties);
}
#[cfg(feature = "remote")]
if let Some(client_config) = client_config {
builder = builder.client_config(client_config.into());
@@ -575,52 +515,6 @@ pub fn connect(
})
}
#[pyfunction]
#[pyo3(signature = (
namespace_client,
read_consistency_interval=None,
storage_options=None,
session=None,
namespace_client_pushdown_operations=None,
namespace_client_impl=None,
namespace_client_properties=None,
))]
#[allow(clippy::too_many_arguments)]
pub fn connect_namespace_client(
py: Python<'_>,
namespace_client: Py<PyAny>,
read_consistency_interval: Option<f64>,
storage_options: Option<HashMap<String, String>>,
session: Option<crate::session::Session>,
namespace_client_pushdown_operations: Option<Vec<String>>,
namespace_client_impl: Option<String>,
namespace_client_properties: Option<HashMap<String, String>>,
) -> PyResult<Connection> {
let namespace_client = extract_namespace_arc(py, namespace_client)?;
let read_consistency_interval = read_consistency_interval.map(Duration::from_secs_f64);
let namespace_client_pushdown_operations =
parse_namespace_client_pushdown_operations(namespace_client_pushdown_operations)?;
let ns_impl = namespace_client_impl.unwrap_or_else(|| "python".to_string());
let ns_properties = namespace_client_properties.unwrap_or_default();
let storage_options = storage_options.unwrap_or_default();
let session = session.map(|s| s.inner.clone());
let database = LanceNamespaceDatabase::from_namespace_client(
namespace_client,
ns_impl,
ns_properties,
storage_options,
read_consistency_interval,
session,
namespace_client_pushdown_operations,
);
Ok(Connection::new(LanceConnection::new(
Arc::new(database),
Arc::new(lancedb::embeddings::MemoryRegistry::new()),
)))
}
#[derive(FromPyObject)]
pub struct PyClientConfig {
user_agent: String,
@@ -630,7 +524,6 @@ pub struct PyClientConfig {
id_delimiter: Option<String>,
tls_config: Option<PyClientTlsConfig>,
header_provider: Option<Py<PyAny>>,
user_id: Option<String>,
}
#[derive(FromPyObject)]
@@ -715,7 +608,6 @@ impl From<PyClientConfig> for lancedb::remote::ClientConfig {
id_delimiter: value.id_delimiter,
tls_config: value.tls_config.map(Into::into),
header_provider,
user_id: value.user_id,
}
}
}

View File

@@ -2,7 +2,7 @@
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use arrow::RecordBatchStream;
use connection::{Connection, connect, connect_namespace_client};
use connection::{Connection, connect};
use env_logger::Env;
use expr::{PyExpr, expr_col, expr_func, expr_lit};
use index::IndexConfig;
@@ -29,6 +29,7 @@ pub mod namespace;
pub mod permutation;
pub mod query;
pub mod session;
pub mod storage_options;
pub mod table;
pub mod util;
@@ -58,7 +59,6 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<PyPermutationReader>()?;
m.add_class::<PyExpr>()?;
m.add_function(wrap_pyfunction!(connect, m)?)?;
m.add_function(wrap_pyfunction!(connect_namespace_client, m)?)?;
m.add_function(wrap_pyfunction!(permutation::async_permutation_builder, m)?)?;
m.add_function(wrap_pyfunction!(util::validate_table_name, m)?)?;
m.add_function(wrap_pyfunction!(query::fts_query_to_json, m)?)?;

View File

@@ -8,7 +8,6 @@ use std::sync::Arc;
use async_trait::async_trait;
use bytes::Bytes;
use lance_io::object_store::{LanceNamespaceStorageOptionsProvider, StorageOptionsProvider};
use lance_namespace::LanceNamespace as LanceNamespaceTrait;
use lance_namespace::models::*;
use pyo3::prelude::*;
@@ -695,21 +694,3 @@ pub fn extract_namespace_arc(
let ns_ref = ns.bind(py);
PyLanceNamespace::create_arc(py, ns_ref)
}
/// Create a LanceNamespaceStorageOptionsProvider from a namespace client and table ID.
///
/// This creates a Rust storage options provider that fetches credentials from the
/// namespace's describe_table() method, enabling automatic credential refresh.
///
/// # Arguments
/// * `namespace_client` - The namespace client (wrapped PyLanceNamespace)
/// * `table_id` - Full table identifier (namespace_path + table_name)
pub fn create_namespace_storage_options_provider(
namespace_client: Arc<dyn LanceNamespaceTrait>,
table_id: Vec<String>,
) -> Arc<dyn StorageOptionsProvider> {
Arc::new(LanceNamespaceStorageOptionsProvider::new(
namespace_client,
table_id,
))
}

View File

@@ -0,0 +1,137 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! PyO3 bindings for StorageOptionsProvider
//!
//! This module provides the bridge between Python StorageOptionsProvider objects
//! and Rust's StorageOptionsProvider trait, enabling automatic credential refresh.
use std::collections::HashMap;
use std::sync::Arc;
use async_trait::async_trait;
use lance_io::object_store::StorageOptionsProvider;
use pyo3::prelude::*;
use pyo3::types::PyDict;
/// Internal wrapper around a Python object implementing StorageOptionsProvider
pub struct PyStorageOptionsProvider {
/// The Python object implementing fetch_storage_options()
inner: Py<PyAny>,
}
impl Clone for PyStorageOptionsProvider {
fn clone(&self) -> Self {
Python::attach(|py| Self {
inner: self.inner.clone_ref(py),
})
}
}
impl PyStorageOptionsProvider {
pub fn new(obj: Py<PyAny>) -> PyResult<Self> {
Python::attach(|py| {
// Verify the object has a fetch_storage_options method
if !obj.bind(py).hasattr("fetch_storage_options")? {
return Err(pyo3::exceptions::PyTypeError::new_err(
"StorageOptionsProvider must implement fetch_storage_options() method",
));
}
Ok(Self { inner: obj })
})
}
}
/// Wrapper that implements the Rust StorageOptionsProvider trait
pub struct PyStorageOptionsProviderWrapper {
py_provider: PyStorageOptionsProvider,
}
impl PyStorageOptionsProviderWrapper {
pub fn new(py_provider: PyStorageOptionsProvider) -> Self {
Self { py_provider }
}
}
#[async_trait]
impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
async fn fetch_storage_options(&self) -> lance_core::Result<Option<HashMap<String, String>>> {
// Call Python method from async context using spawn_blocking
let py_provider = self.py_provider.clone();
tokio::task::spawn_blocking(move || {
Python::attach(|py| {
// Call the Python fetch_storage_options method
let result = py_provider
.inner
.bind(py)
.call_method0("fetch_storage_options")
.map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
"Failed to call fetch_storage_options: {}",
e
)))))?;
// If result is None, return None
if result.is_none() {
return Ok(None);
}
// Extract the result dict - should be a flat Map<String, String>
let result_dict = result.downcast::<PyDict>().map_err(|_| {
lance_core::Error::invalid_input(
"fetch_storage_options() must return a dict of string key-value pairs or None",
)
})?;
// Convert all entries to HashMap<String, String>
let mut storage_options = HashMap::new();
for (key, value) in result_dict.iter() {
let key_str: String = key.extract().map_err(|e| {
lance_core::Error::invalid_input(format!("Storage option key must be a string: {}", e))
})?;
let value_str: String = value.extract().map_err(|e| {
lance_core::Error::invalid_input(format!("Storage option value must be a string: {}", e))
})?;
storage_options.insert(key_str, value_str);
}
Ok(Some(storage_options))
})
})
.await
.map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
"Task join error: {}",
e
)))))?
}
fn provider_id(&self) -> String {
Python::attach(|py| {
// Call provider_id() method on the Python object
let obj = self.py_provider.inner.bind(py);
obj.call_method0("provider_id")
.and_then(|result| result.extract::<String>())
.unwrap_or_else(|e| {
// If provider_id() fails, construct a fallback ID
format!("PyStorageOptionsProvider(error: {})", e)
})
})
}
}
impl std::fmt::Debug for PyStorageOptionsProviderWrapper {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "PyStorageOptionsProviderWrapper({})", self.provider_id())
}
}
/// Convert a Python object to an Arc<dyn StorageOptionsProvider>
///
/// This is the main entry point for converting Python StorageOptionsProvider objects
/// to Rust trait objects that can be used by the Lance ecosystem.
pub fn py_object_to_storage_options_provider(
py_obj: Py<PyAny>,
) -> PyResult<Arc<dyn StorageOptionsProvider>> {
let py_provider = PyStorageOptionsProvider::new(py_obj)?;
Ok(Arc::new(PyStorageOptionsProviderWrapper::new(py_provider)))
}

339
python/uv.lock generated
View File

@@ -247,7 +247,7 @@ wheels = [
[[package]]
name = "awscli"
version = "1.44.70"
version = "1.44.35"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "botocore" },
@@ -257,9 +257,9 @@ dependencies = [
{ name = "rsa" },
{ name = "s3transfer" },
]
sdist = { url = "https://files.pythonhosted.org/packages/76/b2/0f522e76ca173ac06949883f00994ec173f9336c8f8146f982458ebc6ce7/awscli-1.44.70.tar.gz", hash = "sha256:25eafa6237a2ff9ad98c8bb486c40f904996db5fb3e9facc8cba9108caa7859c", size = 1886989, upload-time = "2026-03-31T19:33:41.249Z" }
sdist = { url = "https://files.pythonhosted.org/packages/f3/42/58705761bce0d24c4496aac146d724a8caf20a33d906ec954729c934088b/awscli-1.44.35.tar.gz", hash = "sha256:bc38774bfc71fd33112fd283522b010c2f5b606e57b28a85884d96e8051c58e7", size = 1888844, upload-time = "2026-02-09T21:50:10.697Z" }
wheels = [
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[[package]]
name = "threadpoolctl"
version = "3.6.0"

View File

@@ -1,2 +1,2 @@
[toolchain]
channel = "1.94.0"
channel = "1.91.0"

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb"
version = "0.28.0-beta.10"
version = "0.27.2"
edition.workspace = true
description = "LanceDB: A serverless, low-latency vector database for AI applications"
license.workspace = true
@@ -111,12 +111,7 @@ default = []
aws = ["lance/aws", "lance-io/aws", "lance-namespace-impls/dir-aws"]
oss = ["lance/oss", "lance-io/oss", "lance-namespace-impls/dir-oss"]
gcs = ["lance/gcp", "lance-io/gcp", "lance-namespace-impls/dir-gcp"]
azure = [
"lance/azure",
"lance-io/azure",
"lance-namespace-impls/dir-azure",
"lance-namespace-impls/credential-vendor-azure",
]
azure = ["lance/azure", "lance-io/azure", "lance-namespace-impls/dir-azure"]
huggingface = [
"lance/huggingface",
"lance-io/huggingface",

View File

@@ -101,9 +101,9 @@ impl TableNamesBuilder {
self
}
/// Set the namespace path to list tables from
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
/// Set the namespace to list tables from
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
self
}
@@ -131,7 +131,7 @@ impl OpenTableBuilder {
parent,
request: OpenTableRequest {
name,
namespace_path: vec![],
namespace: vec![],
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -171,7 +171,7 @@ impl OpenTableBuilder {
/// Options already set on the connection will be inherited by the table,
/// but can be overridden here.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
let store_params = self
.request
@@ -188,7 +188,7 @@ impl OpenTableBuilder {
/// Options already set on the connection will be inherited by the table,
/// but can be overridden here.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_options(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
@@ -206,9 +206,9 @@ impl OpenTableBuilder {
self
}
/// Set the namespace path for the table
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
/// Set the namespace for the table
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
self
}
@@ -303,9 +303,9 @@ impl CloneTableBuilder {
self
}
/// Set the target namespace path for the cloned table
pub fn target_namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.target_namespace_path = namespace_path;
/// Set the target namespace for the cloned table
pub fn target_namespace(mut self, namespace: Vec<String>) -> Self {
self.request.target_namespace = namespace;
self
}
@@ -456,15 +456,15 @@ impl Connection {
&self,
old_name: impl AsRef<str>,
new_name: impl AsRef<str>,
cur_namespace_path: &[String],
new_namespace_path: &[String],
cur_namespace: &[String],
new_namespace: &[String],
) -> Result<()> {
self.internal
.rename_table(
old_name.as_ref(),
new_name.as_ref(),
cur_namespace_path,
new_namespace_path,
cur_namespace,
new_namespace,
)
.await
}
@@ -478,11 +478,9 @@ impl Connection {
///
/// # Arguments
/// * `name` - The name of the table to drop
/// * `namespace_path` - The namespace path to drop the table from
pub async fn drop_table(&self, name: impl AsRef<str>, namespace_path: &[String]) -> Result<()> {
self.internal
.drop_table(name.as_ref(), namespace_path)
.await
/// * `namespace` - The namespace to drop the table from
pub async fn drop_table(&self, name: impl AsRef<str>, namespace: &[String]) -> Result<()> {
self.internal.drop_table(name.as_ref(), namespace).await
}
/// Drop the database
@@ -496,9 +494,9 @@ impl Connection {
/// Drops all tables in the database
///
/// # Arguments
/// * `namespace_path` - The namespace path to drop all tables from. Empty slice represents root namespace.
pub async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
self.internal.drop_all_tables(namespace_path).await
/// * `namespace` - The namespace to drop all tables from. Empty slice represents root namespace.
pub async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
self.internal.drop_all_tables(namespace).await
}
/// List immediate child namespace names in the given namespace
@@ -541,16 +539,6 @@ impl Connection {
self.internal.namespace_client().await
}
/// Get the configuration for constructing an equivalent namespace client.
/// Returns (impl_type, properties) where:
/// - impl_type: "dir" for DirectoryNamespace, "rest" for RestNamespace
/// - properties: configuration properties for the namespace
pub async fn namespace_client_config(
&self,
) -> Result<(String, std::collections::HashMap<String, String>)> {
self.internal.namespace_client_config().await
}
/// List tables with pagination support
pub async fn list_tables(&self, request: ListTablesRequest) -> Result<ListTablesResponse> {
self.internal.list_tables(request).await
@@ -582,23 +570,6 @@ pub struct ConnectRequest {
/// Database specific options
pub options: HashMap<String, String>,
/// Extra properties for the equivalent namespace client.
///
/// For a local [`ListingDatabase`], these are merged into the backing
/// `DirectoryNamespace` properties. This is useful for namespace-specific
/// settings such as `table_version_tracking_enabled` that are distinct from
/// storage options.
pub namespace_client_properties: HashMap<String, String>,
/// Use directory namespace manifests as the source of truth for native
/// LanceDB table metadata.
///
/// When enabled for a local/native connection, LanceDB returns a
/// namespace-backed database directly. Directory listing fallback remains
/// enabled for migration, and directory-listing-to-manifest migration is
/// forced on.
pub manifest_enabled: bool,
/// The interval at which to check for updates from other processes.
///
/// If None, then consistency is not checked. For performance
@@ -638,8 +609,6 @@ impl ConnectBuilder {
client_config: Default::default(),
read_consistency_interval: None,
options: HashMap::new(),
namespace_client_properties: HashMap::new(),
manifest_enabled: false,
session: None,
},
embedding_registry: None,
@@ -757,7 +726,7 @@ impl ConnectBuilder {
/// Set an option for the storage layer.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
self.request.options.insert(key.into(), value.into());
self
@@ -765,7 +734,7 @@ impl ConnectBuilder {
/// Set multiple options for the storage layer.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_options(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
@@ -776,42 +745,6 @@ impl ConnectBuilder {
self
}
/// Set an additional property for the equivalent namespace client.
pub fn namespace_client_property(
mut self,
key: impl Into<String>,
value: impl Into<String>,
) -> Self {
self.request
.namespace_client_properties
.insert(key.into(), value.into());
self
}
/// Set multiple additional properties for the equivalent namespace client.
pub fn namespace_client_properties(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
) -> Self {
for (key, value) in pairs {
self.request
.namespace_client_properties
.insert(key.into(), value.into());
}
self
}
/// Enable or disable manifest-backed directory namespace mode for local
/// native connections.
///
/// When enabled, the connection uses the directory namespace database
/// directly for all table operations and forces
/// `dir_listing_to_manifest_migration_enabled=true`.
pub fn manifest_enabled(mut self, enabled: bool) -> Self {
self.request.manifest_enabled = enabled;
self
}
/// The interval at which to check for updates from other processes. This
/// only affects LanceDB OSS.
///
@@ -907,16 +840,6 @@ impl ConnectBuilder {
pub async fn execute(self) -> Result<Connection> {
if self.request.uri.starts_with("db") {
self.execute_remote()
} else if self.request.manifest_enabled {
let internal = Arc::new(
ListingDatabase::connect_manifest_enabled_namespace_database(&self.request).await?,
);
Ok(Connection {
internal,
embedding_registry: self
.embedding_registry
.unwrap_or_else(|| Arc::new(MemoryRegistry::new())),
})
} else {
let internal = Arc::new(ListingDatabase::connect_with_options(&self.request).await?);
Ok(Connection {
@@ -939,30 +862,14 @@ pub fn connect(uri: &str) -> ConnectBuilder {
ConnectBuilder::new(uri)
}
use std::collections::HashSet;
/// Operations that can be pushed down to the namespace server.
///
/// These operations will be executed on the namespace server instead of locally
/// when enabled via [`ConnectNamespaceBuilder::pushdown_operations`].
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum NamespaceClientPushdownOperation {
/// Execute queries on the namespace server via `query_table()` instead of locally.
QueryTable,
/// Execute table creation on the namespace server via `create_table()`
/// instead of using `declare_table` + local write.
CreateTable,
}
pub struct ConnectNamespaceBuilder {
ns_impl: String,
properties: HashMap<String, String>,
storage_options: HashMap<String, String>,
namespace_client_properties: HashMap<String, String>,
read_consistency_interval: Option<std::time::Duration>,
embedding_registry: Option<Arc<dyn EmbeddingRegistry>>,
session: Option<Arc<lance::session::Session>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
}
impl ConnectNamespaceBuilder {
@@ -971,17 +878,16 @@ impl ConnectNamespaceBuilder {
ns_impl: ns_impl.to_string(),
properties,
storage_options: HashMap::new(),
namespace_client_properties: HashMap::new(),
read_consistency_interval: None,
embedding_registry: None,
session: None,
pushdown_operations: HashSet::new(),
server_side_query_enabled: false,
}
}
/// Set an option for the storage layer.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
self.storage_options.insert(key.into(), value.into());
self
@@ -989,7 +895,7 @@ impl ConnectNamespaceBuilder {
/// Set multiple options for the storage layer.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_options(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
@@ -1000,29 +906,6 @@ impl ConnectNamespaceBuilder {
self
}
/// Set an additional namespace client property.
pub fn namespace_client_property(
mut self,
key: impl Into<String>,
value: impl Into<String>,
) -> Self {
self.namespace_client_properties
.insert(key.into(), value.into());
self
}
/// Set multiple additional namespace client properties.
pub fn namespace_client_properties(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
) -> Self {
for (key, value) in pairs {
self.namespace_client_properties
.insert(key.into(), value.into());
}
self
}
/// The interval at which to check for updates from other processes.
///
/// If left unset, consistency is not checked. For maximum read
@@ -1053,30 +936,15 @@ impl ConnectNamespaceBuilder {
self
}
/// Add operations to push down to the namespace server.
/// Enable server-side query execution.
///
/// When operations are added, they will be executed on the namespace server
/// instead of locally. This can improve performance by reducing data transfer
/// and leveraging server-side compute resources.
/// When enabled, queries will be executed on the namespace server instead of
/// locally. This can improve performance by reducing data transfer and
/// leveraging server-side compute resources.
///
/// Available operations:
/// - [`NamespaceClientPushdownOperation::QueryTable`]: Execute queries via `namespace.query_table()`
/// - [`NamespaceClientPushdownOperation::CreateTable`]: Execute table creation via `namespace.create_table()`
///
/// By default, no operations are pushed down (all executed locally).
pub fn pushdown_operation(mut self, operation: NamespaceClientPushdownOperation) -> Self {
self.pushdown_operations.insert(operation);
self
}
/// Add multiple operations to push down to the namespace server.
///
/// See [`Self::pushdown_operation`] for details.
pub fn pushdown_operations(
mut self,
operations: impl IntoIterator<Item = NamespaceClientPushdownOperation>,
) -> Self {
self.pushdown_operations.extend(operations);
/// Default is `false` (queries executed locally).
pub fn server_side_query(mut self, enabled: bool) -> Self {
self.server_side_query_enabled = enabled;
self
}
@@ -1084,17 +952,14 @@ impl ConnectNamespaceBuilder {
pub async fn execute(self) -> Result<Connection> {
use crate::database::namespace::LanceNamespaceDatabase;
let mut properties = self.properties;
properties.extend(self.namespace_client_properties);
let internal = Arc::new(
LanceNamespaceDatabase::connect(
&self.ns_impl,
properties,
self.properties,
self.storage_options,
self.read_consistency_interval,
self.session,
self.pushdown_operations,
self.server_side_query_enabled,
)
.await?,
);
@@ -1163,9 +1028,6 @@ mod tests {
use lance_testing::datagen::{BatchGenerator, IncrementingInt32};
use tempfile::tempdir;
use crate::database::listing::{ListingDatabaseOptions, OPT_NEW_TABLE_V2_MANIFEST_PATHS};
use crate::database::namespace::LanceNamespaceDatabase;
use crate::table::NativeTable;
use crate::test_utils::connection::new_test_connection;
use super::*;
@@ -1213,172 +1075,6 @@ mod tests {
assert_eq!(db.uri(), relative_uri.to_str().unwrap().to_string());
}
#[tokio::test]
async fn test_connect_with_namespace_client_properties() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let db = connect(uri)
.namespace_client_property("table_version_tracking_enabled", "true")
.namespace_client_property("manifest_enabled", "true")
.execute()
.await
.unwrap();
let (ns_impl, properties) = db.namespace_client_config().await.unwrap();
assert_eq!(ns_impl, "dir");
assert_eq!(properties.get("root"), Some(&uri.to_string()));
assert_eq!(
properties.get("table_version_tracking_enabled"),
Some(&"true".to_string())
);
assert_eq!(
properties.get("manifest_enabled"),
Some(&"true".to_string())
);
}
#[tokio::test]
async fn test_connect_with_manifest_enabled_uses_directory_namespace() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let db = connect(uri)
.manifest_enabled(true)
.storage_option("timeout", "30s")
.namespace_client_property("manifest_enabled", "false")
.namespace_client_property("dir_listing_to_manifest_migration_enabled", "false")
.execute()
.await
.unwrap();
assert!(
db.database()
.as_any()
.downcast_ref::<LanceNamespaceDatabase>()
.is_some()
);
assert_eq!(db.uri(), uri);
let (ns_impl, properties) = db.namespace_client_config().await.unwrap();
assert_eq!(ns_impl, "dir");
assert_eq!(properties.get("root"), Some(&uri.to_string()));
assert_eq!(
properties.get("manifest_enabled"),
Some(&"true".to_string())
);
assert_eq!(
properties.get("dir_listing_to_manifest_migration_enabled"),
Some(&"true".to_string())
);
assert_eq!(properties.get("storage.timeout"), Some(&"30s".to_string()));
}
#[tokio::test]
async fn test_manifest_enabled_rejects_commit_engine_uri() {
let Err(err) = connect("s3+ddb://bucket/db?ddbTableName=manifest")
.manifest_enabled(true)
.execute()
.await
else {
panic!("expected manifest-enabled s3+ddb connection to fail");
};
assert!(
matches!(err, Error::NotSupported { message } if message.contains("commit engine URI schemes"))
);
let Err(err) = connect("s3://bucket/db?engine=ddb&ddbTableName=manifest")
.manifest_enabled(true)
.execute()
.await
else {
panic!("expected manifest-enabled engine query connection to fail");
};
assert!(
matches!(err, Error::NotSupported { message } if message.contains("commit engine"))
);
}
#[tokio::test]
async fn test_manifest_enabled_connection_migrates_root_listing_table() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
connect(uri)
.execute()
.await
.unwrap()
.create_empty_table("legacy", schema)
.execute()
.await
.unwrap();
let db = connect(uri).manifest_enabled(true).execute().await.unwrap();
let tables = db.table_names().execute().await.unwrap();
assert_eq!(tables, vec!["legacy".to_string()]);
db.open_table("legacy").execute().await.unwrap();
}
#[tokio::test]
async fn test_manifest_enabled_preserves_new_table_options() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let options = ListingDatabaseOptions::builder()
.enable_v2_manifest_paths(true)
.build();
let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
let table = connect(uri)
.manifest_enabled(true)
.database_options(&options)
.execute()
.await
.unwrap()
.create_empty_table("v1_manifest", schema)
.storage_option(OPT_NEW_TABLE_V2_MANIFEST_PATHS, "false")
.execute()
.await
.unwrap();
let native_table = table
.base_table()
.as_any()
.downcast_ref::<NativeTable>()
.unwrap();
assert!(!native_table.uses_v2_manifest_paths().await.unwrap());
}
#[tokio::test]
async fn test_manifest_enabled_vend_input_storage_options() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let schema = Arc::new(Schema::new(vec![Field::new("x", DataType::Int32, false)]));
let table = connect(uri)
.manifest_enabled(true)
.storage_option("test_storage_option", "test_value")
.namespace_client_property("vend_input_storage_options", "true")
.namespace_client_property(
"vend_input_storage_options_refresh_interval_millis",
"60000",
)
.execute()
.await
.unwrap()
.create_empty_table("vended", schema)
.execute()
.await
.unwrap();
let storage_options = table.latest_storage_options().await.unwrap().unwrap();
assert_eq!(
storage_options.get("test_storage_option"),
Some(&"test_value".to_string())
);
assert!(storage_options.contains_key("expires_at_millis"));
}
#[tokio::test]
async fn test_table_names() {
let tc = new_test_connection().await.unwrap();

View File

@@ -55,7 +55,7 @@ impl CreateTableBuilder {
/// Options already set on the connection will be inherited by the table,
/// but can be overridden here.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_option(mut self, key: impl Into<String>, value: impl Into<String>) -> Self {
let store_params = self
.request
@@ -73,7 +73,7 @@ impl CreateTableBuilder {
/// Options already set on the connection will be inherited by the table,
/// but can be overridden here.
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
pub fn storage_options(
mut self,
pairs: impl IntoIterator<Item = (impl Into<String>, impl Into<String>)>,
@@ -111,9 +111,9 @@ impl CreateTableBuilder {
Ok(self)
}
/// Set the namespace path for the table
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
/// Set the namespace for the table
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
self
}

View File

@@ -40,8 +40,8 @@ pub trait DatabaseOptions {
/// A request to list names of tables in the database (deprecated, use ListTablesRequest)
#[derive(Clone, Debug, Default)]
pub struct TableNamesRequest {
/// The namespace path to list tables in. Empty list represents root namespace.
pub namespace_path: Vec<String>,
/// The namespace to list tables in. Empty list represents root namespace.
pub namespace: Vec<String>,
/// If present, only return names that come lexicographically after the supplied
/// value.
///
@@ -56,8 +56,8 @@ pub struct TableNamesRequest {
#[derive(Clone)]
pub struct OpenTableRequest {
pub name: String,
/// The namespace path to open the table from. Empty list represents root namespace.
pub namespace_path: Vec<String>,
/// The namespace to open the table from. Empty list represents root namespace.
pub namespace: Vec<String>,
pub index_cache_size: Option<u32>,
pub lance_read_params: Option<ReadParams>,
/// Optional custom location for the table. If not provided, the database will
@@ -76,7 +76,7 @@ impl std::fmt::Debug for OpenTableRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("OpenTableRequest")
.field("name", &self.name)
.field("namespace_path", &self.namespace_path)
.field("namespace", &self.namespace)
.field("index_cache_size", &self.index_cache_size)
.field("lance_read_params", &self.lance_read_params)
.field("location", &self.location)
@@ -115,8 +115,8 @@ impl CreateTableMode {
pub struct CreateTableRequest {
/// The name of the new table
pub name: String,
/// The namespace path to create the table in. Empty list represents root namespace.
pub namespace_path: Vec<String>,
/// The namespace to create the table in. Empty list represents root namespace.
pub namespace: Vec<String>,
/// Initial data to write to the table, can be empty.
pub data: Box<dyn Scannable>,
/// The mode to use when creating the table
@@ -135,7 +135,7 @@ impl CreateTableRequest {
pub fn new(name: String, data: Box<dyn Scannable>) -> Self {
Self {
name,
namespace_path: vec![],
namespace: vec![],
data,
mode: CreateTableMode::default(),
write_options: WriteOptions::default(),
@@ -155,8 +155,8 @@ impl CreateTableRequest {
pub struct CloneTableRequest {
/// The name of the target table to create
pub target_table_name: String,
/// The namespace path for the target table. Empty list represents root namespace.
pub target_namespace_path: Vec<String>,
/// The namespace for the target table. Empty list represents root namespace.
pub target_namespace: Vec<String>,
/// The URI of the source table to clone from.
pub source_uri: String,
/// Optional version of the source table to clone.
@@ -175,7 +175,7 @@ impl CloneTableRequest {
pub fn new(target_table_name: String, source_uri: String) -> Self {
Self {
target_table_name,
target_namespace_path: vec![],
target_namespace: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -251,13 +251,13 @@ pub trait Database:
&self,
cur_name: &str,
new_name: &str,
cur_namespace_path: &[String],
new_namespace_path: &[String],
cur_namespace: &[String],
new_namespace: &[String],
) -> Result<()>;
/// Drop a table in the database
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()>;
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()>;
/// Drop all tables in the database
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()>;
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()>;
fn as_any(&self) -> &dyn std::any::Any;
/// Get the equivalent namespace client of this database
@@ -265,13 +265,4 @@ pub trait Database:
/// For ListingDatabase, it is the equivalent DirectoryNamespace.
/// For RemoteDatabase, it is the equivalent RestNamespace.
async fn namespace_client(&self) -> Result<Arc<dyn LanceNamespace>>;
/// Get the configuration for constructing an equivalent namespace client.
/// Returns (impl_type, properties) where:
/// - impl_type: "dir" for DirectoryNamespace, "rest" for RestNamespace
/// - properties: configuration properties for the namespace
///
/// This is useful for Python bindings where we want to return a Python
/// namespace object rather than a Rust trait object.
async fn namespace_client_config(&self) -> Result<(String, HashMap<String, String>)>;
}

File diff suppressed because it is too large Load Diff

View File

@@ -3,7 +3,7 @@
//! Namespace-based database implementation that delegates table management to lance-namespace
use std::collections::{HashMap, HashSet};
use std::collections::HashMap;
use std::sync::Arc;
use async_trait::async_trait;
@@ -22,15 +22,9 @@ use lance_namespace_impls::ConnectBuilder;
use lance_table::io::commit::CommitHandler;
use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
use crate::connection::NamespaceClientPushdownOperation;
use crate::database::ReadConsistency;
use crate::database::listing::{
NewTableConfig, OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS, OPT_NEW_TABLE_STORAGE_VERSION,
OPT_NEW_TABLE_V2_MANIFEST_PATHS,
};
use crate::error::{Error, Result};
use crate::table::NativeTable;
use lance::dataset::WriteMode;
use super::{
BaseTable, CloneTableRequest, CreateTableMode, CreateTableRequest as DbCreateTableRequest,
@@ -48,72 +42,18 @@ pub struct LanceNamespaceDatabase {
session: Option<Arc<lance::session::Session>>,
// database URI
uri: String,
// Operations to push down to the namespace server
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
// Namespace implementation type (e.g., "dir", "rest")
ns_impl: String,
// Namespace properties used to construct the namespace client
ns_properties: HashMap<String, String>,
// Options for tables created by this connection
new_table_config: NewTableConfig,
// Whether to enable server-side query execution
server_side_query_enabled: bool,
}
impl LanceNamespaceDatabase {
pub fn from_namespace_client(
namespace_client: Arc<dyn LanceNamespace>,
namespace_client_impl: String,
namespace_client_properties: HashMap<String, String>,
storage_options: HashMap<String, String>,
read_consistency_interval: Option<std::time::Duration>,
session: Option<Arc<lance::session::Session>>,
namespace_client_pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
) -> Self {
Self {
namespace: namespace_client,
storage_options,
read_consistency_interval,
session,
uri: format!("namespace://{}", namespace_client_impl),
pushdown_operations: namespace_client_pushdown_operations,
ns_impl: namespace_client_impl,
ns_properties: namespace_client_properties,
new_table_config: NewTableConfig::default(),
}
}
pub(crate) fn with_uri(mut self, uri: impl Into<String>) -> Self {
self.uri = uri.into();
self
}
pub async fn connect(
ns_impl: &str,
ns_properties: HashMap<String, String>,
storage_options: HashMap<String, String>,
read_consistency_interval: Option<std::time::Duration>,
session: Option<Arc<lance::session::Session>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
) -> Result<Self> {
Self::connect_with_new_table_config(
ns_impl,
ns_properties,
storage_options,
read_consistency_interval,
session,
pushdown_operations,
NewTableConfig::default(),
)
.await
}
pub(crate) async fn connect_with_new_table_config(
ns_impl: &str,
ns_properties: HashMap<String, String>,
storage_options: HashMap<String, String>,
read_consistency_interval: Option<std::time::Duration>,
session: Option<Arc<lance::session::Session>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
new_table_config: NewTableConfig,
server_side_query_enabled: bool,
) -> Result<Self> {
let mut builder = ConnectBuilder::new(ns_impl);
for (key, value) in ns_properties.clone() {
@@ -132,82 +72,9 @@ impl LanceNamespaceDatabase {
read_consistency_interval,
session,
uri: format!("namespace://{}", ns_impl),
pushdown_operations,
ns_impl: ns_impl.to_string(),
ns_properties,
new_table_config,
server_side_query_enabled,
})
}
fn extract_storage_overrides(
&self,
request: &DbCreateTableRequest,
) -> Result<(
Option<lance_encoding::version::LanceFileVersion>,
Option<bool>,
Option<bool>,
)> {
let storage_options = request
.write_options
.lance_write_params
.as_ref()
.and_then(|p| p.store_params.as_ref())
.and_then(|sp| sp.storage_options());
let storage_version_override = storage_options
.and_then(|opts| opts.get(OPT_NEW_TABLE_STORAGE_VERSION))
.map(|s| s.parse::<lance_encoding::version::LanceFileVersion>())
.transpose()?;
let v2_manifest_override = storage_options
.and_then(|opts| opts.get(OPT_NEW_TABLE_V2_MANIFEST_PATHS))
.map(|s| s.parse::<bool>())
.transpose()
.map_err(|_| Error::InvalidInput {
message: "enable_v2_manifest_paths must be a boolean".to_string(),
})?;
let stable_row_ids_override = storage_options
.and_then(|opts| opts.get(OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS))
.map(|s| s.parse::<bool>())
.transpose()
.map_err(|_| Error::InvalidInput {
message: "enable_stable_row_ids must be a boolean".to_string(),
})?;
Ok((
storage_version_override,
v2_manifest_override,
stable_row_ids_override,
))
}
fn apply_new_table_config(
&self,
params: &mut lance::dataset::WriteParams,
request: &DbCreateTableRequest,
) -> Result<()> {
let (storage_version_override, v2_manifest_override, stable_row_ids_override) =
self.extract_storage_overrides(request)?;
params.data_storage_version = storage_version_override
.or(params.data_storage_version)
.or(self.new_table_config.data_storage_version);
if let Some(enable_v2_manifest_paths) =
v2_manifest_override.or(self.new_table_config.enable_v2_manifest_paths)
{
params.enable_v2_manifest_paths = enable_v2_manifest_paths;
}
if let Some(enable_stable_row_ids) =
stable_row_ids_override.or(self.new_table_config.enable_stable_row_ids)
{
params.enable_stable_row_ids = enable_stable_row_ids;
}
Ok(())
}
}
impl std::fmt::Debug for LanceNamespaceDatabase {
@@ -215,7 +82,7 @@ impl std::fmt::Debug for LanceNamespaceDatabase {
f.debug_struct("LanceNamespaceDatabase")
.field("storage_options", &self.storage_options)
.field("read_consistency_interval", &self.read_consistency_interval)
.field("pushdown_operations", &self.pushdown_operations)
.field("server_side_query_enabled", &self.server_side_query_enabled)
.finish()
}
}
@@ -271,7 +138,7 @@ impl Database for LanceNamespaceDatabase {
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
let ns_request = ListTablesRequest {
id: Some(request.namespace_path),
id: Some(request.namespace),
page_token: request.start_after,
limit: request.limit.map(|l| l as i32),
..Default::default()
@@ -287,34 +154,48 @@ impl Database for LanceNamespaceDatabase {
}
async fn create_table(&self, request: DbCreateTableRequest) -> Result<Arc<dyn BaseTable>> {
let mut table_id = request.namespace_path.clone();
let mut table_id = request.namespace.clone();
table_id.push(request.name.clone());
let mut existing_table = None;
let describe_request = DescribeTableRequest {
id: Some(table_id.clone()),
..Default::default()
};
let describe_result = self.namespace.describe_table(describe_request).await;
match request.mode {
CreateTableMode::Create => {}
CreateTableMode::Create => {
if describe_result.is_ok() {
return Err(Error::TableAlreadyExists {
name: request.name.clone(),
});
}
}
CreateTableMode::Overwrite => {
let describe_request = DescribeTableRequest {
id: Some(table_id.clone()),
..Default::default()
};
existing_table = self.namespace.describe_table(describe_request).await.ok();
if describe_result.is_ok() {
// Drop the existing table - must succeed
let drop_request = DropTableRequest {
id: Some(table_id.clone()),
..Default::default()
};
self.namespace
.drop_table(drop_request)
.await
.map_err(|e| Error::Runtime {
message: format!("Failed to drop existing table for overwrite: {}", e),
})?;
}
}
CreateTableMode::ExistOk(_) => {
let describe_request = DescribeTableRequest {
id: Some(table_id.clone()),
..Default::default()
};
let describe_result = self.namespace.describe_table(describe_request).await;
if describe_result.is_ok() {
let native_table = NativeTable::open_from_namespace(
self.namespace.clone(),
&request.name,
request.namespace_path.clone(),
request.namespace.clone(),
None,
None,
self.read_consistency_interval,
self.pushdown_operations.clone(),
self.server_side_query_enabled,
self.session.clone(),
)
.await?;
@@ -324,7 +205,7 @@ impl Database for LanceNamespaceDatabase {
}
}
let mut table_id = request.namespace_path.clone();
let mut table_id = request.namespace.clone();
table_id.push(request.name.clone());
let declare_request = DeclareTableRequest {
@@ -333,86 +214,20 @@ impl Database for LanceNamespaceDatabase {
};
let (location, initial_storage_options, managed_versioning) = {
if let Some(response) = existing_table {
let loc = response.location.ok_or_else(|| Error::Runtime {
message: "Table location is missing from describe_table response".to_string(),
})?;
let opts = response
.storage_options
.or_else(|| Some(self.storage_options.clone()))
.filter(|o| !o.is_empty());
(loc, opts, response.managed_versioning)
} else {
match self.namespace.declare_table(declare_request).await {
Ok(response) => {
let loc = response.location.ok_or_else(|| Error::Runtime {
message: "Table location is missing from declare_table response"
.to_string(),
})?;
let opts = response
.storage_options
.or_else(|| Some(self.storage_options.clone()))
.filter(|o: &HashMap<String, String>| !o.is_empty());
(loc, opts, response.managed_versioning)
}
Err(e)
if matches!(request.mode, CreateTableMode::Create) && {
let err_str = e.to_string();
err_str.contains("already exists")
|| err_str.contains("TableAlreadyExists")
|| err_str.contains("table already exists")
} =>
{
let response = self
.namespace
.describe_table(DescribeTableRequest {
id: Some(table_id.clone()),
..Default::default()
})
.await
.map_err(|describe_err| Error::Runtime {
message: format!(
"Failed to describe existing declared table after declare conflict: {}",
describe_err
),
})?;
if response.version.is_some() && response.schema.is_some() {
return Err(Error::TableAlreadyExists {
name: request.name.clone(),
});
}
let loc = response.location.ok_or_else(|| Error::Runtime {
message: "Table location is missing from describe_table response"
.to_string(),
})?;
let opts = response
.storage_options
.or_else(|| Some(self.storage_options.clone()))
.filter(|o: &HashMap<String, String>| !o.is_empty());
(loc, opts, response.managed_versioning)
}
Err(e) => {
return Err(Error::Runtime {
message: format!("Failed to declare table: {}", e),
});
}
}
}
let response = self.namespace.declare_table(declare_request).await?;
let loc = response.location.ok_or_else(|| Error::Runtime {
message: "Table location is missing from declare_table response".to_string(),
})?;
// Use storage options from response, fall back to self.storage_options
let opts = response
.storage_options
.or_else(|| Some(self.storage_options.clone()))
.filter(|o| !o.is_empty());
(loc, opts, response.managed_versioning)
};
// Build write params with storage options and commit handler
let mut params = request
.write_options
.lance_write_params
.clone()
.unwrap_or_default();
self.apply_new_table_config(&mut params, &request)?;
if matches!(request.mode, CreateTableMode::Overwrite) {
params.mode = WriteMode::Overwrite;
}
let mut params = request.write_options.lance_write_params.unwrap_or_default();
// Set up storage options if provided
if let Some(storage_opts) = initial_storage_options {
@@ -440,12 +255,12 @@ impl Database for LanceNamespaceDatabase {
self.namespace.clone(),
&location,
&request.name,
request.namespace_path.clone(),
request.namespace.clone(),
request.data,
None, // write_store_wrapper not used for namespace connections
write_params,
self.read_consistency_interval,
self.pushdown_operations.clone(),
self.server_side_query_enabled,
self.session.clone(),
)
.await?;
@@ -457,11 +272,11 @@ impl Database for LanceNamespaceDatabase {
let native_table = NativeTable::open_from_namespace(
self.namespace.clone(),
&request.name,
request.namespace_path.clone(),
request.namespace.clone(),
None, // write_store_wrapper not used for namespace connections
request.lance_read_params,
self.read_consistency_interval,
self.pushdown_operations.clone(),
self.server_side_query_enabled,
self.session.clone(),
)
.await?;
@@ -479,16 +294,16 @@ impl Database for LanceNamespaceDatabase {
&self,
_cur_name: &str,
_new_name: &str,
_cur_namespace_path: &[String],
_new_namespace_path: &[String],
_cur_namespace: &[String],
_new_namespace: &[String],
) -> Result<()> {
Err(Error::NotSupported {
message: "rename_table is not supported for namespace connections".to_string(),
})
}
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()> {
let mut table_id = namespace_path.to_vec();
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()> {
let mut table_id = namespace.to_vec();
table_id.push(name.to_string());
let drop_request = DropTableRequest {
@@ -506,17 +321,17 @@ impl Database for LanceNamespaceDatabase {
}
#[allow(deprecated)]
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
let tables = self
.table_names(TableNamesRequest {
namespace_path: namespace_path.to_vec(),
namespace: namespace.to_vec(),
start_after: None,
limit: None,
})
.await?;
for table in tables {
self.drop_table(&table, namespace_path).await?;
self.drop_table(&table, namespace).await?;
}
Ok(())
@@ -529,10 +344,6 @@ impl Database for LanceNamespaceDatabase {
async fn namespace_client(&self) -> Result<Arc<dyn LanceNamespace>> {
Ok(self.namespace.clone())
}
async fn namespace_client_config(&self) -> Result<(String, HashMap<String, String>)> {
Ok((self.ns_impl.clone(), self.ns_properties.clone()))
}
}
#[cfg(test)]
@@ -628,47 +439,6 @@ mod tests {
));
}
#[tokio::test]
async fn test_namespace_connection_with_namespace_client_properties() {
let tmp_dir = tempdir().unwrap();
let root_path = tmp_dir.path().to_str().unwrap().to_string();
let mut properties = HashMap::new();
properties.insert("root".to_string(), root_path);
let conn = connect_namespace("dir", properties)
.namespace_client_property("table_version_tracking_enabled", "true")
.namespace_client_property("manifest_enabled", "true")
.execute()
.await
.expect("Failed to connect to namespace");
conn.create_namespace(CreateNamespaceRequest {
id: Some(vec!["test_ns".into()]),
..Default::default()
})
.await
.expect("Failed to create namespace");
let test_data = create_test_data();
conn.create_table("test_table", test_data)
.namespace(vec!["test_ns".into()])
.execute()
.await
.expect("Failed to create table");
let namespace_client = conn.namespace_client().await.unwrap();
let describe = namespace_client
.describe_table(DescribeTableRequest {
id: Some(vec!["test_ns".into(), "test_table".into()]),
..Default::default()
})
.await
.expect("Failed to describe table");
assert_eq!(describe.managed_versioning, Some(true));
}
#[tokio::test]
async fn test_namespace_create_table_basic() {
// Setup: Create a temporary directory for the namespace
@@ -870,58 +640,6 @@ mod tests {
assert_eq!(id_col.value(2), 30);
}
#[tokio::test]
async fn test_namespace_create_table_after_declare_conflict() {
let tmp_dir = tempdir().unwrap();
let root_path = tmp_dir.path().to_str().unwrap().to_string();
let mut properties = HashMap::new();
properties.insert("root".to_string(), root_path);
let conn = connect_namespace("dir", properties)
.execute()
.await
.expect("Failed to connect to namespace");
conn.create_namespace(CreateNamespaceRequest {
id: Some(vec!["test_ns".into()]),
..Default::default()
})
.await
.expect("Failed to create namespace");
let namespace_client = conn.namespace_client().await.unwrap();
namespace_client
.declare_table(DeclareTableRequest {
id: Some(vec!["test_ns".into(), "declared_test".into()]),
..Default::default()
})
.await
.expect("Failed to declare table");
let test_data = create_test_data();
let table = conn
.create_table("declared_test", test_data)
.namespace(vec!["test_ns".into()])
.execute()
.await
.expect("Failed to create table after declare conflict");
let results = table
.query()
.execute()
.await
.expect("Failed to query table")
.try_collect::<Vec<_>>()
.await
.expect("Failed to collect results");
assert_eq!(results.len(), 1);
assert_eq!(results[0].num_rows(), 5);
assert_eq!(table.namespace(), &["test_ns"]);
assert_eq!(table.id(), "test_ns$declared_test");
}
#[tokio::test]
async fn test_namespace_create_table_exist_ok_mode() {
// Setup: Create a temporary directory for the namespace

View File

@@ -177,7 +177,6 @@ impl BedrockEmbeddingFunction {
))
.send()
.await
.map_err(Box::new)
})
})
.unwrap();

View File

@@ -69,7 +69,7 @@
//! It treats [`FixedSizeList<Float16/Float32>`](https://docs.rs/arrow/latest/arrow/array/struct.FixedSizeListArray.html)
//! columns as vector columns.
//!
//! For more details, please refer to the [LanceDB documentation](https://docs.lancedb.com).
//! For more details, please refer to the [LanceDB documentation](https://lancedb.com/docs).
//!
//! #### Create a table
//!

View File

@@ -16,7 +16,7 @@ use crate::remote::retry::{ResolvedRetryConfig, RetryCounter};
const REQUEST_ID_HEADER: HeaderName = HeaderName::from_static("x-request-id");
/// Configuration for TLS/mTLS settings.
#[derive(Clone, Debug)]
#[derive(Clone, Debug, Default)]
pub struct TlsConfig {
/// Path to the client certificate file (PEM format)
pub cert_file: Option<String>,
@@ -24,22 +24,10 @@ pub struct TlsConfig {
pub key_file: Option<String>,
/// Path to the CA certificate file for server verification (PEM format)
pub ssl_ca_cert: Option<String>,
/// Whether to verify the hostname in the server's certificate.
/// Defaults to `true`.
/// Whether to verify the hostname in the server's certificate
pub assert_hostname: bool,
}
impl Default for TlsConfig {
fn default() -> Self {
Self {
cert_file: None,
key_file: None,
ssl_ca_cert: None,
assert_hostname: true,
}
}
}
/// Trait for providing custom headers for each request
#[async_trait::async_trait]
pub trait HeaderProvider: Send + Sync + std::fmt::Debug {
@@ -64,13 +52,6 @@ pub struct ClientConfig {
pub tls_config: Option<TlsConfig>,
/// Provider for custom headers to be added to each request
pub header_provider: Option<Arc<dyn HeaderProvider>>,
/// User identifier for tracking purposes.
///
/// This is sent as the `x-lancedb-user-id` header in requests to LanceDB Cloud/Enterprise.
/// It can be set directly, or via the `LANCEDB_USER_ID` environment variable.
/// Alternatively, set `LANCEDB_USER_ID_ENV_KEY` to specify another environment
/// variable that contains the user ID value.
pub user_id: Option<String>,
}
impl std::fmt::Debug for ClientConfig {
@@ -86,7 +67,6 @@ impl std::fmt::Debug for ClientConfig {
"header_provider",
&self.header_provider.as_ref().map(|_| "Some(...)"),
)
.field("user_id", &self.user_id)
.finish()
}
}
@@ -101,41 +81,10 @@ impl Default for ClientConfig {
id_delimiter: None,
tls_config: None,
header_provider: None,
user_id: None,
}
}
}
impl ClientConfig {
/// Resolve the user ID from the config or environment variables.
///
/// Resolution order:
/// 1. If `user_id` is set in the config, use that value
/// 2. If `LANCEDB_USER_ID` environment variable is set, use that value
/// 3. If `LANCEDB_USER_ID_ENV_KEY` is set, read the env var it points to
/// 4. Otherwise, return None
pub fn resolve_user_id(&self) -> Option<String> {
if self.user_id.is_some() {
return self.user_id.clone();
}
if let Ok(user_id) = std::env::var("LANCEDB_USER_ID")
&& !user_id.is_empty()
{
return Some(user_id);
}
if let Ok(env_key) = std::env::var("LANCEDB_USER_ID_ENV_KEY")
&& let Ok(user_id) = std::env::var(&env_key)
&& !user_id.is_empty()
{
return Some(user_id);
}
None
}
}
/// How to handle timeouts for HTTP requests.
#[derive(Clone, Default, Debug)]
pub struct TimeoutConfig {
@@ -515,15 +464,6 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
);
}
if let Some(user_id) = config.resolve_user_id() {
headers.insert(
HeaderName::from_static("x-lancedb-user-id"),
HeaderValue::from_str(&user_id).map_err(|_| Error::InvalidInput {
message: format!("non-ascii user_id '{}' provided", user_id),
})?,
);
}
Ok(headers)
}
@@ -938,7 +878,7 @@ mod tests {
assert!(config.cert_file.is_none());
assert!(config.key_file.is_none());
assert!(config.ssl_ca_cert.is_none());
assert!(config.assert_hostname);
assert!(!config.assert_hostname);
}
#[test]
@@ -1132,91 +1072,4 @@ mod tests {
_ => panic!("Expected Runtime error"),
}
}
#[test]
fn test_resolve_user_id_direct_value() {
let config = ClientConfig {
user_id: Some("direct-user-id".to_string()),
..Default::default()
};
assert_eq!(config.resolve_user_id(), Some("direct-user-id".to_string()));
}
#[test]
fn test_resolve_user_id_none() {
let config = ClientConfig::default();
// Clear env vars that might be set from other tests
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID");
std::env::remove_var("LANCEDB_USER_ID_ENV_KEY");
}
assert_eq!(config.resolve_user_id(), None);
}
#[test]
fn test_resolve_user_id_from_env() {
// SAFETY: This is only called in tests
unsafe {
std::env::set_var("LANCEDB_USER_ID", "env-user-id");
}
let config = ClientConfig::default();
assert_eq!(config.resolve_user_id(), Some("env-user-id".to_string()));
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID");
}
}
#[test]
fn test_resolve_user_id_from_env_key() {
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID");
std::env::set_var("LANCEDB_USER_ID_ENV_KEY", "MY_CUSTOM_USER_ID");
std::env::set_var("MY_CUSTOM_USER_ID", "custom-env-user-id");
}
let config = ClientConfig::default();
assert_eq!(
config.resolve_user_id(),
Some("custom-env-user-id".to_string())
);
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID_ENV_KEY");
std::env::remove_var("MY_CUSTOM_USER_ID");
}
}
#[test]
fn test_resolve_user_id_direct_takes_precedence() {
// SAFETY: This is only called in tests
unsafe {
std::env::set_var("LANCEDB_USER_ID", "env-user-id");
}
let config = ClientConfig {
user_id: Some("direct-user-id".to_string()),
..Default::default()
};
assert_eq!(config.resolve_user_id(), Some("direct-user-id".to_string()));
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID");
}
}
#[test]
fn test_resolve_user_id_empty_env_ignored() {
// SAFETY: This is only called in tests
unsafe {
std::env::set_var("LANCEDB_USER_ID", "");
std::env::remove_var("LANCEDB_USER_ID_ENV_KEY");
}
let config = ClientConfig::default();
assert_eq!(config.resolve_user_id(), None);
// SAFETY: This is only called in tests
unsafe {
std::env::remove_var("LANCEDB_USER_ID");
}
}
}

View File

@@ -97,7 +97,7 @@ pub struct RemoteDatabaseOptions {
pub host_override: Option<String>,
/// Storage options configure the storage layer (e.g. S3, GCS, Azure, etc.)
///
/// See available options at <https://docs.lancedb.com/storage/>
/// See available options at <https://lancedb.com/docs/storage/>
///
/// These options are only used for LanceDB Enterprise and only a subset of options
/// are supported.
@@ -362,9 +362,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
let mut req = if !request.namespace_path.is_empty() {
let mut req = if !request.namespace.is_empty() {
let namespace_id =
build_namespace_identifier(&request.namespace_path, &self.client.id_delimiter);
build_namespace_identifier(&request.namespace, &self.client.id_delimiter);
self.client
.get(&format!("/v1/namespace/{}/table/list", namespace_id))
} else {
@@ -387,12 +387,12 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
.tables;
for table in &tables {
let table_identifier =
build_table_identifier(table, &request.namespace_path, &self.client.id_delimiter);
let cache_key = build_cache_key(table, &request.namespace_path);
build_table_identifier(table, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(table, &request.namespace);
let remote_table = Arc::new(RemoteTable::new(
self.client.clone(),
table.clone(),
request.namespace_path.clone(),
request.namespace.clone(),
table_identifier.clone(),
version.clone(),
));
@@ -442,11 +442,8 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
async fn create_table(&self, mut request: CreateTableRequest) -> Result<Arc<dyn BaseTable>> {
let body = stream_as_body(request.data.scan_as_stream())?;
let identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let req = self
.client
.post(&format!("/v1/table/{}/create/", identifier))
@@ -466,7 +463,7 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
CreateTableMode::ExistOk(callback) => {
let req = OpenTableRequest {
name: request.name.clone(),
namespace_path: request.namespace_path.clone(),
namespace: request.namespace.clone(),
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -498,16 +495,13 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
let rsp = self.client.check_response(&request_id, rsp).await?;
let version = parse_server_version(&request_id, &rsp)?;
let table_identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let cache_key = build_cache_key(&request.name, &request.namespace_path);
let table_identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(&request.name, &request.namespace);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.name.clone(),
request.namespace_path.clone(),
request.namespace.clone(),
table_identifier,
version,
));
@@ -519,7 +513,7 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
async fn clone_table(&self, request: CloneTableRequest) -> Result<Arc<dyn BaseTable>> {
let table_identifier = build_table_identifier(
&request.target_table_name,
&request.target_namespace_path,
&request.target_namespace,
&self.client.id_delimiter,
);
@@ -548,11 +542,11 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
let version = parse_server_version(&request_id, &rsp)?;
let cache_key = build_cache_key(&request.target_table_name, &request.target_namespace_path);
let cache_key = build_cache_key(&request.target_table_name, &request.target_namespace);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.target_table_name.clone(),
request.target_namespace_path.clone(),
request.target_namespace.clone(),
table_identifier,
version,
));
@@ -562,12 +556,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>> {
let identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let cache_key = build_cache_key(&request.name, &request.namespace_path);
let identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(&request.name, &request.namespace);
// We describe the table to confirm it exists before moving on.
if let Some(table) = self.table_cache.get(&cache_key).await {
@@ -583,17 +574,17 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
let version = parse_server_version(&request_id, &rsp)?;
let table_identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&request.namespace,
&self.client.id_delimiter,
);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.name.clone(),
request.namespace_path.clone(),
request.namespace.clone(),
table_identifier,
version,
));
let cache_key = build_cache_key(&request.name, &request.namespace_path);
let cache_key = build_cache_key(&request.name, &request.namespace);
self.table_cache.insert(cache_key, table.clone()).await;
Ok(table)
}
@@ -603,18 +594,18 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
&self,
current_name: &str,
new_name: &str,
cur_namespace_path: &[String],
new_namespace_path: &[String],
cur_namespace: &[String],
new_namespace: &[String],
) -> Result<()> {
let current_identifier =
build_table_identifier(current_name, cur_namespace_path, &self.client.id_delimiter);
let current_cache_key = build_cache_key(current_name, cur_namespace_path);
let new_cache_key = build_cache_key(new_name, new_namespace_path);
build_table_identifier(current_name, cur_namespace, &self.client.id_delimiter);
let current_cache_key = build_cache_key(current_name, cur_namespace);
let new_cache_key = build_cache_key(new_name, new_namespace);
let mut body = serde_json::json!({ "new_table_name": new_name });
if !new_namespace_path.is_empty() {
if !new_namespace.is_empty() {
body["new_namespace"] = serde_json::Value::Array(
new_namespace_path
new_namespace
.iter()
.map(|s| serde_json::Value::String(s.clone()))
.collect(),
@@ -633,9 +624,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
Ok(())
}
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()> {
let identifier = build_table_identifier(name, namespace_path, &self.client.id_delimiter);
let cache_key = build_cache_key(name, namespace_path);
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()> {
let identifier = build_table_identifier(name, namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(name, namespace);
let req = self.client.post(&format!("/v1/table/{}/drop/", identifier));
let (request_id, resp) = self.client.send(req).await?;
self.client.check_response(&request_id, resp).await?;
@@ -643,9 +634,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
Ok(())
}
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
// TODO: Implement namespace-aware drop_all_tables
let _namespace_path = namespace_path; // Suppress unused warning for now
let _namespace = namespace; // Suppress unused warning for now
Err(crate::Error::NotSupported {
message: "Dropping all tables is not currently supported in the remote API".to_string(),
})
@@ -777,32 +768,6 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
let namespace = builder.build();
Ok(Arc::new(namespace) as Arc<dyn lance_namespace::LanceNamespace>)
}
async fn namespace_client_config(&self) -> Result<(String, HashMap<String, String>)> {
let mut properties = HashMap::new();
properties.insert("uri".to_string(), self.client.host().to_string());
properties.insert("delimiter".to_string(), self.client.id_delimiter.clone());
for (key, value) in &self.namespace_headers {
properties.insert(format!("header.{}", key), value.clone());
}
// Add TLS configuration if present
if let Some(tls_config) = &self.tls_config {
if let Some(cert_file) = &tls_config.cert_file {
properties.insert("tls.cert_file".to_string(), cert_file.clone());
}
if let Some(key_file) = &tls_config.key_file {
properties.insert("tls.key_file".to_string(), key_file.clone());
}
if let Some(ssl_ca_cert) = &tls_config.ssl_ca_cert {
properties.insert("tls.ssl_ca_cert".to_string(), ssl_ca_cert.clone());
}
properties.insert(
"tls.assert_hostname".to_string(),
tls_config.assert_hostname.to_string(),
);
}
Ok(("rest".to_string(), properties))
}
}
/// RemoteOptions contains a subset of StorageOptions that are compatible with Remote LanceDB connections

View File

@@ -19,11 +19,11 @@ pub use lance::dataset::Version;
use lance::dataset::WriteMode;
use lance::dataset::builder::DatasetBuilder;
use lance::dataset::{InsertBuilder, WriteParams};
use lance::index::DatasetIndexExt;
use lance::index::vector::VectorIndexParams;
use lance::index::vector::utils::infer_vector_dim;
use lance::io::{ObjectStoreParams, WrappingObjectStore};
use lance_datafusion::utils::StreamingWriteSource;
use lance_index::DatasetIndexExt;
use lance_index::IndexType;
use lance_index::scalar::{BuiltinIndexType, ScalarIndexParams};
use lance_index::vector::bq::RQBuildParams;
@@ -42,13 +42,11 @@ use lance_table::io::commit::CommitHandler;
use lance_table::io::commit::ManifestNamingScheme;
use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, HashSet};
use std::collections::HashMap;
use std::format;
use std::path::Path;
use std::sync::Arc;
use crate::connection::NamespaceClientPushdownOperation;
use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitions};
use crate::database::Database;
use crate::embeddings::{EmbeddingDefinition, EmbeddingRegistry, MemoryRegistry};
@@ -1270,9 +1268,10 @@ pub struct NativeTable {
// Optional namespace client for namespace operations (e.g., managed versioning).
// pub(crate) so query.rs can access the field for server-side query execution.
pub(crate) namespace_client: Option<Arc<dyn LanceNamespace>>,
// Operations to push down to the namespace server.
// pub(crate) so query.rs can access the field for server-side query execution.
pub(crate) pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
// Whether to enable server-side query execution via the namespace client.
// When true and namespace_client is set, queries will be executed on the
// namespace server instead of locally.
pub(crate) server_side_query_enabled: bool,
}
impl std::fmt::Debug for NativeTable {
@@ -1284,7 +1283,7 @@ impl std::fmt::Debug for NativeTable {
.field("uri", &self.uri)
.field("read_consistency_interval", &self.read_consistency_interval)
.field("namespace_client", &self.namespace_client)
.field("pushdown_operations", &self.pushdown_operations)
.field("server_side_query_enabled", &self.server_side_query_enabled)
.finish()
}
}
@@ -1321,18 +1320,7 @@ impl NativeTable {
/// * A [NativeTable] object.
pub async fn open(uri: &str) -> Result<Self> {
let name = Self::get_table_name(uri)?;
Self::open_with_params(
uri,
&name,
vec![],
None,
None,
None,
None,
HashSet::new(),
None,
)
.await
Self::open_with_params(uri, &name, vec![], None, None, None, None, false, None).await
}
/// Opens an existing Table
@@ -1343,7 +1331,7 @@ impl NativeTable {
/// * `name` The Table name
/// * `params` The [ReadParams] to use when opening the table
/// * `namespace_client` - Optional namespace client for namespace operations
/// * `pushdown_operations` - Operations to push down to the namespace server
/// * `server_side_query_enabled` - Whether to enable server-side query execution
/// * `managed_versioning` - Whether managed versioning is enabled. If None and namespace_client
/// is provided, the value will be fetched via describe_table.
///
@@ -1359,7 +1347,7 @@ impl NativeTable {
params: Option<ReadParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
managed_versioning: Option<bool>,
) -> Result<Self> {
let params = params.unwrap_or_default();
@@ -1429,7 +1417,7 @@ impl NativeTable {
dataset,
read_consistency_interval,
namespace_client,
pushdown_operations,
server_side_query_enabled,
})
}
@@ -1455,8 +1443,10 @@ impl NativeTable {
/// * `write_store_wrapper` - Optional wrapper for the object store on write path
/// * `params` - Optional read parameters
/// * `read_consistency_interval` - Optional interval for read consistency
/// * `pushdown_operations` - Operations to push down to the namespace server.
/// When `QueryTable` is included, queries will be executed on the namespace server.
/// * `server_side_query_enabled` - Whether to enable server-side query execution.
/// When true, the namespace_client will be stored and queries will be executed
/// on the namespace server. When false, the namespace is only used for opening
/// the table, and queries are executed locally.
/// * `session` - Optional session for object stores and caching
///
/// # Returns
@@ -1470,7 +1460,7 @@ impl NativeTable {
write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
params: Option<ReadParams>,
read_consistency_interval: Option<std::time::Duration>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
session: Option<Arc<lance::session::Session>>,
) -> Result<Self> {
let mut params = params.unwrap_or_default();
@@ -1517,12 +1507,11 @@ impl NativeTable {
let dataset = DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval);
let id = Self::build_id(&namespace, name);
let stored_namespace_client =
if pushdown_operations.contains(&NamespaceClientPushdownOperation::QueryTable) {
Some(namespace_client)
} else {
None
};
let stored_namespace_client = if server_side_query_enabled {
Some(namespace_client)
} else {
None
};
Ok(Self {
name: name.to_string(),
@@ -1532,7 +1521,7 @@ impl NativeTable {
dataset,
read_consistency_interval,
namespace_client: stored_namespace_client,
pushdown_operations,
server_side_query_enabled,
})
}
@@ -1573,7 +1562,7 @@ impl NativeTable {
/// * `batches` RecordBatch to be saved in the database.
/// * `params` - Write parameters.
/// * `namespace_client` - Optional namespace client for namespace operations
/// * `pushdown_operations` - Operations to push down to the namespace server
/// * `server_side_query_enabled` - Whether to enable server-side query execution
///
/// # Returns
///
@@ -1588,7 +1577,7 @@ impl NativeTable {
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
) -> Result<Self> {
// Default params uses format v1.
let params = params.unwrap_or(WriteParams {
@@ -1621,7 +1610,7 @@ impl NativeTable {
dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
read_consistency_interval,
namespace_client,
pushdown_operations,
server_side_query_enabled,
})
}
@@ -1635,7 +1624,7 @@ impl NativeTable {
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
) -> Result<Self> {
let data: Box<dyn Scannable> = Box::new(RecordBatch::new_empty(schema));
Self::create(
@@ -1647,7 +1636,7 @@ impl NativeTable {
params,
read_consistency_interval,
namespace_client,
pushdown_operations,
server_side_query_enabled,
)
.await
}
@@ -1670,7 +1659,7 @@ impl NativeTable {
/// * `write_store_wrapper` - Optional wrapper for the object store on write path
/// * `params` - Optional write parameters
/// * `read_consistency_interval` - Optional interval for read consistency
/// * `pushdown_operations` - Operations to push down to the namespace server
/// * `server_side_query_enabled` - Whether to enable server-side query execution
///
/// # Returns
///
@@ -1685,7 +1674,7 @@ impl NativeTable {
write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
pushdown_operations: HashSet<NamespaceClientPushdownOperation>,
server_side_query_enabled: bool,
session: Option<Arc<lance::session::Session>>,
) -> Result<Self> {
// Build table_id from namespace + name for the storage options provider
@@ -1737,12 +1726,11 @@ impl NativeTable {
let id = Self::build_id(&namespace, name);
let stored_namespace_client =
if pushdown_operations.contains(&NamespaceClientPushdownOperation::QueryTable) {
Some(namespace_client)
} else {
None
};
let stored_namespace_client = if server_side_query_enabled {
Some(namespace_client)
} else {
None
};
Ok(Self {
name: name.to_string(),
@@ -1752,7 +1740,7 @@ impl NativeTable {
dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
read_consistency_interval,
namespace_client: stored_namespace_client,
pushdown_operations,
server_side_query_enabled,
})
}
@@ -2763,19 +2751,9 @@ mod tests {
vec![Ok(batch.clone())],
batch.schema(),
));
let table = NativeTable::create(
uri,
"test",
vec![],
reader,
None,
None,
None,
None,
HashSet::new(),
)
.await
.unwrap();
let table = NativeTable::create(uri, "test", vec![], reader, None, None, None, None, false)
.await
.unwrap();
assert_eq!(table.count_rows(None).await.unwrap(), 10);
assert_eq!(
@@ -3802,7 +3780,7 @@ mod tests {
TableStatistics {
num_rows: 250,
num_indices: 0,
total_bytes: 2300,
total_bytes: 2000,
fragment_stats: FragmentStatistics {
num_fragments: 11,
num_small_fragments: 11,

View File

@@ -285,10 +285,7 @@ mod tests {
use super::*;
use crate::{
connect, io::object_store::io_tracking::IoStatsHolder, table::WriteOptions,
utils::background_cache::clock,
};
use crate::{connect, io::object_store::io_tracking::IoStatsHolder, table::WriteOptions};
async fn create_test_dataset(uri: &str) -> Dataset {
let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int32, false)]));
@@ -466,10 +463,6 @@ mod tests {
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
// Other tests use a thread-local mock clock. Simulate leaked state from a
// previous test to ensure this wrapper starts from real time.
clock::advance_by(Duration::from_secs(60));
let wrapper = DatasetConsistencyWrapper::new_latest(ds, Some(Duration::from_millis(200)));
// Populate the cache

View File

@@ -10,7 +10,7 @@ use std::sync::Arc;
use lance::dataset::cleanup::RemovalStats;
use lance::dataset::optimize::{CompactionMetrics, IndexRemapperOptions, compact_files};
use lance::index::DatasetIndexExt;
use lance_index::DatasetIndexExt;
use lance_index::optimize::OptimizeOptions;
use log::info;

View File

@@ -4,7 +4,6 @@
use std::sync::Arc;
use super::NativeTable;
use crate::connection::NamespaceClientPushdownOperation;
use crate::error::{Error, Result};
use crate::expr::expr_to_sql_string;
use crate::query::{
@@ -41,10 +40,8 @@ pub async fn execute_query(
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<DatasetRecordBatchStream> {
// If QueryTable pushdown is enabled and namespace client is configured, use server-side query execution
if table
.pushdown_operations
.contains(&NamespaceClientPushdownOperation::QueryTable)
// If server-side query is enabled and namespace client is configured, use server-side query execution
if table.server_side_query_enabled
&& let Some(ref namespace_client) = table.namespace_client
{
return execute_namespace_query(table, namespace_client.clone(), query, options).await;

View File

@@ -107,14 +107,6 @@ where
refresh_window < ttl,
"refresh_window ({refresh_window:?}) must be less than ttl ({ttl:?})"
);
#[cfg(test)]
{
// Tests may advance the thread-local mock clock and leave it behind for
// the next test that happens to run on the same worker thread. Each new
// cache should start from a clean clock state instead of inheriting
// unrelated mock time from a previous test.
clock::clear_mock();
}
Self {
inner: Arc::new(Mutex::new(CacheInner {
state: State::Empty,