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Author SHA1 Message Date
Ayush Chaurasia
2fa4d04de7 feat(python): align with_format("torch") with HuggingFace semantics
- New "torch" format yields list-of-per-row-dicts whose values are torch
  tensors. PyTorch DataLoader's default collate stacks these into a
  dict[str, Tensor] per batch — matching HuggingFace
  dataset.set_format("torch") and removing the need for a custom collate_fn.
- The previous "torch" behavior (list of 1-D row tensors without column
  names) moves to a new "torch_row" format.
- "torch_col" is unchanged (2-D tensor, requires custom collate).

Closes lancedb/lancedb#3245
2026-04-29 22:15:40 +05:30
167 changed files with 8743 additions and 29757 deletions

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@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.30.0-beta.1"
current_version = "0.28.0-beta.10"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -11,11 +11,6 @@ updates:
schedule:
interval: weekly
open-pull-requests-limit: 10
# Only update Cargo.lock, never widen/raise the version requirements in
# Cargo.toml. The goal is keeping the lockfile (and the binaries we ship)
# current on security fixes, not forcing our library's consumers onto
# newer minimum versions.
versioning-strategy: lockfile-only
groups:
rust-minor-patch:
update-types:

View File

@@ -29,3 +29,7 @@ runs:
args: ${{ inputs.args }}
docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
working-directory: python
- uses: actions/upload-artifact@v4
with:
name: windows-wheels
path: python\target\wheels

View File

@@ -45,9 +45,7 @@ jobs:
- name: Set up Node.js
uses: actions/setup-node@v4
with:
# pnpm 11 (used by the nodejs install step below) requires
# Node >= 22.13; use 24 since 22 hits EOL in October.
node-version: 24
node-version: 20
- name: Install Codex CLI
run: npm install -g @openai/codex
@@ -81,14 +79,10 @@ jobs:
java-version: '11'
cache: maven
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Install Node.js dependencies for TypeScript bindings
run: |
cd nodejs
pnpm install --frozen-lockfile
npm ci
- name: Configure git user
run: |
@@ -143,7 +137,7 @@ jobs:
- For Rust test failures: Run the specific test with "cargo test -p <crate> <test_name>"
- For Python test failures: Build with "cd python && maturin develop" then run "pytest <specific_test_file>::<test_name>"
- For Java test failures: Run "cd java && mvn test -Dtest=<TestClass>#<testMethod>"
- For TypeScript test failures: Run "cd nodejs && pnpm build && pnpm test -- --testNamePattern='<test_name>'"
- For TypeScript test failures: Run "cd nodejs && npm run build && npm test -- --testNamePattern='<test_name>'"
- Do NOT run the full test suite - only run the tests that were failing
7. If the additional guidelines are provided, follow them as well.

View File

@@ -43,7 +43,7 @@ jobs:
server-username: SONATYPE_USER
server-password: SONATYPE_TOKEN
gpg-private-key: ${{ secrets.GPG_PRIVATE_KEY }}
gpg-passphrase: MAVEN_GPG_PASSPHRASE
gpg-passphrase: ${{ secrets.GPG_PASSPHRASE }}
- name: Set git config
run: |
git config --global user.email "dev+gha@lancedb.com"
@@ -58,11 +58,10 @@ jobs:
echo "use-agent" >> ~/.gnupg/gpg.conf
echo "pinentry-mode loopback" >> ~/.gnupg/gpg.conf
export GPG_TTY=$(tty)
./mvnw --batch-mode -DskipTests -DpushChanges=false deploy -pl lancedb-core -am -P deploy-to-ossrh
./mvnw --batch-mode -DskipTests -DpushChanges=false -Dgpg.passphrase=${{ secrets.GPG_PASSPHRASE }} deploy -pl lancedb-core -am -P deploy-to-ossrh
env:
SONATYPE_USER: ${{ secrets.SONATYPE_USER }}
SONATYPE_TOKEN: ${{ secrets.SONATYPE_TOKEN }}
MAVEN_GPG_PASSPHRASE: ${{ secrets.GPG_PASSPHRASE }}
report-failure:
name: Report Workflow Failure

View File

@@ -42,17 +42,11 @@ jobs:
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October. The library itself still supports Node >= 18
# (see test matrix below).
node-version: 24
cache: 'pnpm'
cache-dependency-path: nodejs/pnpm-lock.yaml
node-version: 20
cache: 'npm'
cache-dependency-path: nodejs/package-lock.json
- uses: actions-rust-lang/setup-rust-toolchain@v1
with:
components: rustfmt, clippy
@@ -67,13 +61,11 @@ jobs:
run: cargo clippy --profile ci --all --all-features -- -D warnings
- name: Lint Typescript
run: |
pnpm install --frozen-lockfile
pnpm lint-ci
npm ci
npm run lint-ci
- name: Lint examples
working-directory: nodejs/examples
# The `@lancedb/lancedb` dep points at file:../dist; pnpm errors if
# that dir is missing, so create an empty one for lint-only runs.
run: mkdir -p ../dist && pnpm install --frozen-lockfile && pnpm lint-ci
run: npm ci && npm run lint-ci
linux:
name: Linux (NodeJS ${{ matrix.node-version }})
timeout-minutes: 30
@@ -90,18 +82,14 @@ jobs:
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v4
name: Setup Node.js 24 for build
name: Setup Node.js 20 for build
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October. Build/install runs on Node 24; tests run on the
# matrix version below using direct jest invocation.
node-version: 24
cache: 'pnpm'
cache-dependency-path: nodejs/pnpm-lock.yaml
# @napi-rs/cli v3 requires Node >= 20.12 (via @inquirer/prompts@8).
# Build always on Node 20; tests run on the matrix version below.
node-version: 20
cache: 'npm'
cache-dependency-path: nodejs/package-lock.json
- uses: Swatinem/rust-cache@v2
- name: Install dependencies
run: |
@@ -109,58 +97,48 @@ jobs:
sudo apt install -y protobuf-compiler libssl-dev
- name: Build
run: |
pnpm install --frozen-lockfile
# No `--` separator: pnpm forwards it literally, which would
# make napi-rs treat `--profile ci` as a cargo passthrough arg.
pnpm build:debug --profile ci
pnpm tsc
- name: Setup examples
working-directory: nodejs/examples
run: pnpm install --frozen-lockfile
- name: Check docs
run: |
# We run this as part of the job because the binary needs to be built
# first to export the types of the native code.
set -e
# `pnpm docs` would invoke pnpm's built-in `docs` command, not
# the script — use `pnpm run docs`.
pnpm run docs
if ! git diff --exit-code -- ../ ':(exclude)Cargo.lock'; then
echo "Docs need to be updated"
echo "Run 'pnpm run docs', fix any warnings, and commit the changes."
exit 1
fi
npm ci --include=optional
npm run build:debug -- --profile ci
- uses: actions/setup-node@v4
name: Setup Node.js ${{ matrix.node-version }} for test
with:
node-version: ${{ matrix.node-version }}
- name: Compile TypeScript
run: npm run tsc
- name: Setup localstack
working-directory: .
run: docker compose up --detach --wait
- name: Test
env:
S3_TEST: "1"
# Newer @smithy/core uses dynamic ESM imports.
NODE_OPTIONS: "--experimental-vm-modules"
# Invoke jest directly because pnpm 11 itself requires Node 22+
# while the matrix tests on older Node versions.
run: npx jest --verbose
run: npm run test
- name: Setup examples
working-directory: nodejs/examples
run: npm ci
- name: Test examples
working-directory: ./
env:
OPENAI_API_KEY: test
OPENAI_BASE_URL: http://0.0.0.0:8000
NODE_OPTIONS: "--experimental-vm-modules"
run: |
python ci/mock_openai.py &
cd nodejs/examples
npx jest --testEnvironment jest-environment-node-single-context --verbose
npm test
- name: Check docs
run: |
# We run this as part of the job because the binary needs to be built
# first to export the types of the native code.
set -e
npm ci
npm run docs
if ! git diff --exit-code -- ../ ':(exclude)Cargo.lock'; then
echo "Docs need to be updated"
echo "Run 'npm run docs', fix any warnings, and commit the changes."
exit 1
fi
macos:
timeout-minutes: 30
# macos-15 ships a newer linker; the older macos-14 linker fails to insert
# branch islands when the debug cdylib's __text section exceeds the 128 MB
# AArch64 B/BL branch range.
runs-on: "macos-15"
runs-on: "macos-14"
defaults:
run:
shell: bash
@@ -170,28 +148,20 @@ jobs:
with:
fetch-depth: 0
lfs: true
- uses: pnpm/action-setup@v4
with:
version: 11.1.1
- uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
node-version: 24
cache: 'pnpm'
cache-dependency-path: nodejs/pnpm-lock.yaml
- uses: dtolnay/rust-toolchain@stable
node-version: 20
cache: 'npm'
cache-dependency-path: nodejs/package-lock.json
- uses: Swatinem/rust-cache@v2
- name: Install dependencies
run: |
brew install protobuf
- name: Build
run: |
pnpm install --frozen-lockfile
# No `--` separator: pnpm forwards it literally, which would
# make napi-rs treat `--profile ci` as a cargo passthrough arg.
pnpm build:debug --profile ci
pnpm tsc
npm ci --include=optional
npm run build:debug -- --profile ci
npm run tsc
- name: Test
run: |
pnpm test
npm run test

View File

@@ -171,18 +171,13 @@ jobs:
working-directory: nodejs
steps:
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup node
uses: actions/setup-node@v4
if: ${{ !matrix.settings.docker }}
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
node-version: 24
cache: pnpm
cache-dependency-path: nodejs/pnpm-lock.yaml
node-version: 20
cache: npm
cache-dependency-path: nodejs/package-lock.json
- name: Install
uses: dtolnay/rust-toolchain@stable
if: ${{ !matrix.settings.docker }}
@@ -200,7 +195,7 @@ jobs:
target/
key: nodejs-${{ matrix.settings.target }}-cargo-${{ matrix.settings.host }}
- name: Install dependencies
run: pnpm install --frozen-lockfile
run: npm ci
- name: Install Zig
uses: mlugg/setup-zig@v2
if: ${{ contains(matrix.settings.target, 'musl') }}
@@ -253,7 +248,7 @@ jobs:
# one to do the upload.
- name: Make generic artifacts
if: ${{ matrix.settings.target == 'aarch64-apple-darwin' }}
run: pnpm tsc
run: npm run tsc
- name: Upload Generic Artifacts
if: ${{ matrix.settings.target == 'aarch64-apple-darwin' }}
uses: actions/upload-artifact@v4
@@ -288,24 +283,14 @@ jobs:
working-directory: nodejs
steps:
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup Node.js 24 for install
uses: actions/setup-node@v4
with:
# pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
# in October.
node-version: 24
cache: pnpm
cache-dependency-path: nodejs/pnpm-lock.yaml
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Setup Node.js ${{ matrix.node }} for test
- name: Setup node
uses: actions/setup-node@v4
with:
node-version: ${{ matrix.node }}
cache: npm
cache-dependency-path: nodejs/package-lock.json
- name: Install dependencies
run: npm ci
- name: Download artifacts
uses: actions/download-artifact@v4
with:
@@ -326,9 +311,7 @@ jobs:
- name: Move built files
run: cp dist/native.d.ts dist/native.js dist/*.node lancedb/
- name: Test bindings
# Invoke jest directly because pnpm 11 itself requires Node 22+
# while the matrix tests on older Node versions.
run: npx jest --verbose
run: npm test
publish:
name: Publish
runs-on: ubuntu-latest
@@ -340,19 +323,15 @@ jobs:
- test-lancedb
steps:
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v4
with:
version: 11.1.1
- name: Setup node
uses: actions/setup-node@v4
with:
node-version: 24
cache: pnpm
cache-dependency-path: nodejs/pnpm-lock.yaml
cache: npm
cache-dependency-path: nodejs/package-lock.json
registry-url: "https://registry.npmjs.org"
- name: Install dependencies
run: pnpm install --frozen-lockfile
run: npm ci
- uses: actions/download-artifact@v4
with:
name: nodejs-dist
@@ -372,7 +351,7 @@ jobs:
- name: Display structure of downloaded files
run: find dist && find nodejs-artifacts
- name: Move artifacts
run: pnpm exec napi artifacts -d nodejs-artifacts
run: npx napi artifacts -d nodejs-artifacts
- name: List packages
run: find npm
- name: Publish

View File

@@ -8,9 +8,6 @@ on:
# This should trigger a dry run (we skip the final publish step)
paths:
- .github/workflows/pypi-publish.yml
- .github/workflows/build_linux_wheel/action.yml
- .github/workflows/build_mac_wheel/action.yml
- .github/workflows/build_windows_wheel/action.yml
- Cargo.toml # Change in dependency frequently breaks builds
- Cargo.lock
@@ -24,21 +21,32 @@ jobs:
linux:
name: Python ${{ matrix.config.platform }} manylinux${{ matrix.config.manylinux }}
timeout-minutes: 60
permissions:
id-token: write
contents: read
strategy:
matrix:
config:
- platform: x86_64
manylinux: "2_17"
extra_args: ""
runner: ubuntu-22.04
- platform: x86_64
manylinux: "2_28"
extra_args: "--features fp16kernels"
runner: ubuntu-22.04
# For successful fat LTO builds, we need a large runner to avoid OOM errors.
- platform: aarch64
manylinux: "2_17"
extra_args: ""
# For successful fat LTO builds, we need a large runner to avoid OOM errors.
runner: ubuntu-2404-8x-arm64
- platform: aarch64
manylinux: "2_28"
extra_args: "--features fp16kernels"
runner: ubuntu-2404-8x-arm64
runs-on: ${{ matrix.config.runner }}
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -52,14 +60,15 @@ jobs:
args: "--release --strip ${{ matrix.config.extra_args }}"
arm-build: ${{ matrix.config.platform == 'aarch64' }}
manylinux: ${{ matrix.config.manylinux }}
- uses: actions/upload-artifact@v7
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
name: wheels-linux-${{ matrix.config.platform }}-${{ matrix.config.manylinux }}
path: target/wheels/lancedb-*.whl
if-no-files-found: error
fury_token: ${{ secrets.FURY_TOKEN }}
mac:
timeout-minutes: 90
permissions:
id-token: write
contents: read
runs-on: ${{ matrix.config.runner }}
strategy:
matrix:
@@ -69,7 +78,7 @@ jobs:
env:
MACOSX_DEPLOYMENT_TARGET: 10.15
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -81,21 +90,18 @@ jobs:
with:
python-minor-version: 10
args: "--release --strip --target ${{ matrix.config.target }} --features fp16kernels"
- uses: actions/upload-artifact@v7
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
name: wheels-mac-${{ matrix.config.target }}
path: target/wheels/lancedb-*.whl
if-no-files-found: error
fury_token: ${{ secrets.FURY_TOKEN }}
windows:
timeout-minutes: 90
timeout-minutes: 60
permissions:
id-token: write
contents: read
runs-on: windows-latest
env:
# link.exe is single-threaded and the long pole on Windows builds. Use
# rustc's bundled lld-link instead.
CARGO_TARGET_X86_64_PC_WINDOWS_MSVC_LINKER: rust-lld
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -107,70 +113,18 @@ jobs:
with:
python-minor-version: 10
args: "--release --strip"
- uses: actions/upload-artifact@v7
vcpkg_token: ${{ secrets.VCPKG_GITHUB_PACKAGES }}
- uses: ./.github/workflows/upload_wheel
if: startsWith(github.ref, 'refs/tags/python-v')
with:
name: wheels-windows
path: target/wheels/lancedb-*.whl
if-no-files-found: error
publish:
name: Publish wheels
if: startsWith(github.ref, 'refs/tags/python-v')
needs: [linux, mac, windows]
runs-on: ubuntu-latest
permissions:
id-token: write
contents: read
steps:
- uses: actions/checkout@v6
- name: Download wheel artifacts
uses: actions/download-artifact@v8
with:
pattern: wheels-*
path: target/wheels
merge-multiple: true
- name: List wheels
run: ls -la target/wheels
- name: Choose repo
id: choose_repo
run: |
if [[ ${{ github.ref }} == *beta* ]]; then
echo "repo=fury" >> $GITHUB_OUTPUT
else
echo "repo=pypi" >> $GITHUB_OUTPUT
fi
- name: Publish to Fury
if: steps.choose_repo.outputs.repo == 'fury'
env:
FURY_TOKEN: ${{ secrets.FURY_TOKEN }}
run: |
shopt -s nullglob
WHEELS=(target/wheels/lancedb-*.whl)
if [[ ${#WHEELS[@]} -eq 0 ]]; then
echo "No wheels found in target/wheels/" >&2
exit 1
fi
for WHEEL in "${WHEELS[@]}"; do
echo "Uploading $WHEEL to Fury"
curl -f -F package=@"$WHEEL" "https://$FURY_TOKEN@push.fury.io/lancedb/"
done
# NOTE: pypa/gh-action-pypi-publish must be invoked directly from a
# workflow file, not from inside a composite action. When called from a
# composite, `github.action_repository` is empty (actions/runner#2473)
# and the action falls back to `github.repository`, producing a bogus
# `docker://ghcr.io/<repo>:<ref>` image reference that GHA tries to pull.
- name: Publish to PyPI
if: steps.choose_repo.outputs.repo == 'pypi'
uses: pypa/gh-action-pypi-publish@release/v1
with:
packages-dir: target/wheels/
fury_token: ${{ secrets.FURY_TOKEN }}
gh-release:
if: startsWith(github.ref, 'refs/tags/python-v')
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
with:
fetch-depth: 0
lfs: true
@@ -233,13 +187,13 @@ jobs:
report-failure:
name: Report Workflow Failure
runs-on: ubuntu-latest
needs: [linux, mac, windows, publish]
needs: [linux, mac, windows]
permissions:
contents: read
issues: write
if: always() && failure() && startsWith(github.ref, 'refs/tags/python-v')
steps:
- uses: actions/checkout@v6
- uses: actions/checkout@v4
- uses: ./.github/actions/create-failure-issue
with:
job-results: ${{ toJSON(needs) }}

View File

@@ -205,7 +205,7 @@ jobs:
- name: Delete wheels
run: rm -rf target/wheels
pydantic1x:
timeout-minutes: 60
timeout-minutes: 30
runs-on: "ubuntu-24.04"
defaults:
run:

View File

@@ -233,26 +233,6 @@ jobs:
cargo update -p aws-sdk-sso --precise 1.62.0
cargo update -p aws-sdk-ssooidc --precise 1.63.0
cargo update -p aws-sdk-sts --precise 1.63.0
# aws-runtime/sigv4/credential-types/types and the aws-smithy-*
# crates bumped their MSRV to 1.91.1 in late 2026; pin to the last
# 1.91.0-compatible versions. The order matters — each downgrade
# only succeeds once everything that still pins it at a higher
# version has itself been downgraded.
cargo update -p aws-runtime --precise 1.5.12
cargo update -p aws-types --precise 1.3.9
cargo update -p aws-sigv4 --precise 1.3.5
cargo update -p aws-credential-types --precise 1.2.8
cargo update -p aws-smithy-checksums --precise 0.63.9
cargo update -p aws-smithy-runtime --precise 1.9.3
cargo update -p aws-smithy-http --precise 0.62.4
cargo update -p aws-smithy-eventstream --precise 0.60.12
cargo update -p aws-smithy-http-client --precise 1.1.3
cargo update -p aws-smithy-observability --precise 0.1.4
cargo update -p aws-smithy-query --precise 0.60.8
cargo update -p aws-smithy-runtime-api --precise 1.9.1
cargo update -p aws-smithy-async --precise 1.2.6
cargo update -p aws-smithy-types --precise 1.3.5
cargo update -p aws-smithy-xml --precise 0.60.11
cargo update -p home --precise 0.5.9
- name: cargo +${{ matrix.msrv }} check
env:

View File

@@ -0,0 +1,34 @@
name: upload-wheel
description: "Upload wheels to Pypi"
inputs:
fury_token:
required: true
description: "release token for the fury repo"
runs:
using: "composite"
steps:
- name: Choose repo
shell: bash
id: choose_repo
run: |
if [[ ${{ github.ref }} == *beta* ]]; then
echo "repo=fury" >> $GITHUB_OUTPUT
else
echo "repo=pypi" >> $GITHUB_OUTPUT
fi
- name: Publish to Fury
if: steps.choose_repo.outputs.repo == 'fury'
shell: bash
env:
FURY_TOKEN: ${{ inputs.fury_token }}
run: |
WHEEL=$(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/

View File

@@ -17,33 +17,9 @@ Common commands:
* Run tests: `cargo test --quiet --features remote --tests`
* Run specific test: `cargo test --quiet --features remote -p <package_name> --test <test_name>`
* Lint: `cargo clippy --quiet --features remote --tests --examples`
* Format Rust: `cargo fmt --all`
* Format Python: `ruff format .`
* Lint Python: `ruff check .`
* Bootstrap Python dev env: `cd python && uv run --extra tests --extra dev maturin develop --extras tests,dev`
* Run Python tests: `cd python && uv run --extra tests pytest python/tests -vv --durations=10 -m "not slow and not s3_test"`
* Run specific Python test: `cd python && uv run --extra tests pytest python/tests/<test_file>.py::<test_name> -q`
* Format: `cargo fmt --all`
For Python validation, prefer the uv-managed environment declared by `python/uv.lock`.
Do not treat system `python`, global `pytest`, or missing editable-install errors as
final blockers; bootstrap or enter the uv environment instead. If `lancedb._lancedb`
is missing or stale, or if Rust/PyO3 binding code changed, rebuild the Python
extension with the bootstrap command above before running tests.
Before committing changes, run formatting for every language you touched. At minimum:
* Rust changes: run `cargo fmt --all`.
* Python changes: run `ruff format .` and `ruff check .` from the repository root,
and run targeted tests through `cd python && uv run ...`.
* TypeScript changes: run the relevant `npm`/`pnpm` lint, format, build, and docs commands in `nodejs`.
Before creating a PR, the exact value passed to `gh pr create --title` must follow
Conventional Commits, such as `fix: support nested field paths in native index creation`
or `feat(python): add dataset multiprocessing support`. Do not use a plain natural
language summary like `Support nested field paths in native index creation` as the PR
title. The semantic-release check uses the PR title and body as the merge commit message,
so a non-conventional PR title will fail CI. After creating a PR, read the remote PR title
back and fix it immediately if it is not conventional.
Before committing changes, run formatting.
## Coding tips

3028
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@@ -13,40 +13,40 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { "version" = "=7.2.0-beta.1", default-features = false, "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=7.2.0-beta.1", default-features = false, "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=7.2.0-beta.1", default-features = false, "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=7.2.0-beta.1", "tag" = "v7.2.0-beta.1", "git" = "https://github.com/lance-format/lance.git" }
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" }
ahash = "0.8"
# Note that this one does not include pyarrow
arrow = { version = "58.0.0", optional = false }
arrow-array = "58.0.0"
arrow-data = "58.0.0"
arrow-ipc = "58.0.0"
arrow-ord = "58.0.0"
arrow-schema = "58.0.0"
arrow-select = "58.0.0"
arrow-cast = "58.0.0"
arrow = { version = "57.2", optional = false }
arrow-array = "57.2"
arrow-data = "57.2"
arrow-ipc = "57.2"
arrow-ord = "57.2"
arrow-schema = "57.2"
arrow-select = "57.2"
arrow-cast = "57.2"
async-trait = "0"
datafusion = { version = "53.0.0", default-features = false }
datafusion-catalog = "53.0.0"
datafusion-common = { version = "53.0.0", default-features = false }
datafusion-execution = "53.0.0"
datafusion-expr = "53.0.0"
datafusion-functions = "53.0.0"
datafusion-physical-plan = "53.0.0"
datafusion-physical-expr = "53.0.0"
datafusion-sql = "53.0.0"
datafusion = { version = "52.1", default-features = false }
datafusion-catalog = "52.1"
datafusion-common = { version = "52.1", default-features = false }
datafusion-execution = "52.1"
datafusion-expr = "52.1"
datafusion-functions = "52.1"
datafusion-physical-plan = "52.1"
datafusion-physical-expr = "52.1"
datafusion-sql = "52.1"
env_logger = "0.11"
half = { "version" = "2.7.1", default-features = false, features = [
"num-traits",
@@ -54,7 +54,7 @@ half = { "version" = "2.7.1", default-features = false, features = [
futures = "0"
log = "0.4"
moka = { version = "0.12", features = ["future"] }
object_store = "0.13.2"
object_store = "0.12.0"
pin-project = "1.0.7"
rand = "0.9"
snafu = "0.8"

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@@ -1,26 +0,0 @@
# Code review guidelines
Repo-specific guidance for automated PR reviews.
## Cross-SDK parity
LanceDB exposes the same core (`rust/lancedb`) through Python, TypeScript (`nodejs`),
and Java bindings. Behavioral drift between SDKs is a recurring problem, so watch for
parity gaps when reviewing — but only flag real ones:
* If the change adds or modifies user-facing API or behavior in the shared core
(`rust/lancedb`), check whether each binding that should expose it (`python`,
`nodejs`) does. A core change with no corresponding binding update is worth a note.
* If the change adds or modifies a public API in one SDK but not the other, open the
sibling SDK's corresponding module and state whether an equivalent exists. If not,
note it as a possible parity gap and suggest a follow-up issue.
* For bug fixes, first read the sibling SDK's analogous code path to check whether the
same bug exists there. Only raise parity if it actually does. Do not ask to "port" a
fix for a bug that only ever existed in one binding.
* Stay silent on internal-only refactors, tests, docs, and changes with no cross-SDK
surface.
* Parity expectations apply to the Python and TypeScript (`nodejs`) SDKs. Java currently
implements only the remote table, not the local/embedded backend, so it is expected to
be partial — do not flag Java for missing local-only functionality.
* Keep parity feedback to a short, clearly-labeled note (e.g. "Possible SDK parity
gap: …"). It is advisory, not a merge blocker.

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@@ -112,25 +112,25 @@ def fetch_remote_tags() -> List[TagInfo]:
"api",
"-X",
"GET",
f"repos/{LANCE_REPO}/releases",
f"repos/{LANCE_REPO}/git/refs/tags",
"--paginate",
"--jq",
".[].tag_name",
"-F",
"per_page=20",
".[].ref",
]
)
tags: List[TagInfo] = []
for line in output.splitlines():
tag = line.strip()
if not tag.startswith("v"):
ref = line.strip()
if not ref.startswith("refs/tags/v"):
continue
tag = ref.split("refs/tags/")[-1]
version = tag.lstrip("v")
try:
tags.append(TagInfo(tag=tag, version=version, semver=parse_semver(version)))
except ValueError:
continue
if not tags:
raise RuntimeError("No Lance releases could be parsed from GitHub API output")
raise RuntimeError("No Lance tags could be parsed from GitHub API output")
return tags

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@@ -51,18 +51,6 @@ ignore = [
# https://rustsec.org/advisories/RUSTSEC-2024-0436
{ id = "RUSTSEC-2024-0436", reason = "transitive via datafusion; awaiting ecosystem migration" },
# encoding: unmaintained. Reached through lindera-dictionary, which is
# required by the native Lindera tokenizer path. Lindera has not migrated
# off this crate yet.
# https://rustsec.org/advisories/RUSTSEC-2021-0153
{ id = "RUSTSEC-2021-0153", reason = "transitive via lindera-dictionary for native Lindera tokenizer" },
# fast-float: unsound and unmaintained. Reached only through polars-arrow
# from the optional Polars integration; replacement requires a Polars
# dependency upgrade.
# https://rustsec.org/advisories/RUSTSEC-2024-0379
{ id = "RUSTSEC-2024-0379", reason = "transitive via polars-arrow; waiting on Polars 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.
@@ -80,17 +68,11 @@ ignore = [
# https://rustsec.org/advisories/RUSTSEC-2025-0119
{ id = "RUSTSEC-2025-0119", reason = "transitive via hf-hub/indicatif; cosmetic formatting crate" },
# bincode: unmaintained. Reached through lindera and lindera-dictionary,
# which are required by the native Lindera tokenizer path. Lindera has not
# migrated to another serialization format yet.
# https://rustsec.org/advisories/RUSTSEC-2025-0141
{ id = "RUSTSEC-2025-0141", reason = "transitive via lindera/lindera-dictionary for native Lindera tokenizer" },
# lru: soundness issue in IterMut. Reached only through aws-sdk-s3 in
# LanceDB's dev-dependency graph; LanceDB does not use that iterator
# directly. Clearing this requires the AWS SDK chain to update lru.
# https://rustsec.org/advisories/RUSTSEC-2026-0002
{ id = "RUSTSEC-2026-0002", reason = "transitive via aws-sdk-s3 dev-dependency; waiting on AWS SDK lru upgrade" },
# 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
@@ -107,12 +89,6 @@ ignore = [
# 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" },
# rand 0.8.5: soundness issue only when ThreadRng reseeds inside a custom
# logger. Reached through several transitive chains. LanceDB does not use
# rand from a custom logger; upgrade once all pinned chains accept 0.8.6+.
# https://rustsec.org/advisories/RUSTSEC-2026-0097
{ id = "RUSTSEC-2026-0097", reason = "transitive rand 0.8.5; LanceDB does not call ThreadRng from custom logging" },
]
# ---------------------------------------------------------------------------

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@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
<dependency>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-core</artifactId>
<version>0.30.0-beta.1</version>
<version>0.28.0-beta.10</version>
</dependency>
```

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@@ -12,22 +12,20 @@ Typescript.
* `src/`: Rust bindings source code
* `lancedb/`: Typescript package source code
* `__test__/`: Unit tests
* `examples/`: A pnpm package with the examples shown in the documentation
* `examples/`: An npm package with the examples shown in the documentation
## Development environment
To set up your development environment, you will need to install the following:
1. Node.js 22 or later (required by pnpm 11)
2. [pnpm](https://pnpm.io/installation) 11 or later (or run via `corepack enable`,
which uses the `packageManager` field in `package.json`)
3. Rust's package manager, Cargo. Use [rustup](https://rustup.rs/) to install.
4. [protoc](https://grpc.io/docs/protoc-installation/) (Protocol Buffers compiler)
1. Node.js 14 or later
2. Rust's package manager, Cargo. Use [rustup](https://rustup.rs/) to install.
3. [protoc](https://grpc.io/docs/protoc-installation/) (Protocol Buffers compiler)
Initial setup:
```shell
pnpm install
npm install
```
### Commit Hooks
@@ -41,38 +39,38 @@ pre-commit install
## Development
Most common development commands can be run using the pnpm scripts.
Most common development commands can be run using the npm scripts.
Build the package
```shell
pnpm install
pnpm build
npm install
npm run build
```
Lint:
```shell
pnpm lint
npm run lint
```
Format and fix lints:
```shell
pnpm lint-fix
npm run lint-fix
```
Run tests:
```shell
pnpm test
npm test
```
To run a single test:
```shell
# Single file: table.test.ts
pnpm test -- table.test.ts
npm test -- table.test.ts
# Single test: 'merge insert' in table.test.ts
pnpm test -- table.test.ts --testNamePattern=merge\ insert
npm test -- table.test.ts --testNamePattern=merge\ insert
```

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@@ -148,33 +148,6 @@ Creates a new empty Table
***
### createNamespace()
```ts
abstract createNamespace(namespacePath, options?): Promise<CreateNamespaceResponse>
```
Create a new namespace at the given path.
#### Parameters
* **namespacePath**: `string`[]
The namespace path to create.
* **options?**: `Partial`&lt;[`CreateNamespaceOptions`](../interfaces/CreateNamespaceOptions.md)&gt;
Creation `mode`
("create" | "exist_ok" | "overwrite") and optional `properties`
to attach to the namespace.
#### Returns
`Promise`&lt;[`CreateNamespaceResponse`](../interfaces/CreateNamespaceResponse.md)&gt;
The properties of the
created namespace and an optional transaction id.
***
### createTable()
#### createTable(options, namespacePath)
@@ -257,29 +230,6 @@ Creates a new Table and initialize it with new data.
***
### describeNamespace()
```ts
abstract describeNamespace(namespacePath): Promise<DescribeNamespaceResponse>
```
Describe a namespace, returning its properties.
#### Parameters
* **namespacePath**: `string`[]
The namespace path to describe, in
parent → child order, e.g. `["analytics", "sales"]`.
#### Returns
`Promise`&lt;[`DescribeNamespaceResponse`](../interfaces/DescribeNamespaceResponse.md)&gt;
The namespace's properties
(may be undefined if the namespace has none).
***
### display()
```ts
@@ -313,36 +263,6 @@ Drop all tables in the database.
***
### dropNamespace()
```ts
abstract dropNamespace(namespacePath, options?): Promise<DropNamespaceResponse>
```
Drop a namespace.
Use `behavior: "cascade"` to also drop everything contained in the
namespace (sub-namespaces and tables). The default `"restrict"`
behavior refuses to drop a non-empty namespace.
#### Parameters
* **namespacePath**: `string`[]
The namespace path to drop.
* **options?**: `Partial`&lt;[`DropNamespaceOptions`](../interfaces/DropNamespaceOptions.md)&gt;
`mode` ("skip" | "fail"
for missing-namespace handling) and `behavior` ("restrict" | "cascade").
#### Returns
`Promise`&lt;[`DropNamespaceResponse`](../interfaces/DropNamespaceResponse.md)&gt;
Any properties returned by
the server and an optional transaction id.
***
### dropTable()
```ts
@@ -379,36 +299,6 @@ Return true if the connection has not been closed
***
### listNamespaces()
```ts
abstract listNamespaces(namespacePath?, options?): Promise<ListNamespacesResponse>
```
List the immediate child namespaces under the given parent.
Results may be paginated. To retrieve subsequent pages, pass the
`pageToken` returned by a previous call.
#### Parameters
* **namespacePath?**: `string`[]
The parent namespace path. Defaults
to the root namespace if omitted.
* **options?**: `Partial`&lt;[`ListNamespacesOptions`](../interfaces/ListNamespacesOptions.md)&gt;
Pagination options
(`pageToken`, `limit`).
#### Returns
`Promise`&lt;[`ListNamespacesResponse`](../interfaces/ListNamespacesResponse.md)&gt;
Child namespace names and
an optional token for fetching the next page.
***
### openTable()
```ts
@@ -437,39 +327,6 @@ Open a table in the database.
***
### renameTable()
```ts
abstract renameTable(
currentName,
newName,
options?): Promise<void>
```
Rename a table.
Currently only supported by LanceDB Cloud. Local OSS connections and
namespace-backed connections (via [connectNamespace](../functions/connectNamespace.md)) reject with
a "not supported" error.
#### Parameters
* **currentName**: `string`
The current name of the table.
* **newName**: `string`
The new name for the table.
* **options?**: [`RenameTableOptions`](../interfaces/RenameTableOptions.md)
Optional namespace paths. When
`newNamespacePath` is omitted the table stays in `namespacePath`.
#### Returns
`Promise`&lt;`void`&gt;
***
### tableNames()
#### tableNames(options)

View File

@@ -76,57 +76,6 @@ the query optimizer chooses a suboptimal path.
***
### useLsmWrite()
```ts
useLsmWrite(useLsmWrite): MergeInsertBuilder
```
Controls whether the merge uses the MemWAL LSM write path.
By default (unset), a `mergeInsert` on a table with an LSM write spec is
routed through Lance's MemWAL shard writer, and a table without one uses
the standard path. Pass `false` to force the standard path even when a
spec is set. Pass `true` to require a spec — `mergeInsert` rejects if none
is installed.
#### Parameters
* **useLsmWrite**: `boolean`
Whether to use the LSM write path.
#### Returns
[`MergeInsertBuilder`](MergeInsertBuilder.md)
***
### validateSingleShard()
```ts
validateSingleShard(validateSingleShard): MergeInsertBuilder
```
Controls how an LSM merge checks that its input targets a single shard.
When a table has an LSM write spec, every row in a `mergeInsert` call must
route to the same shard. When `true` (the default), every row is inspected
to verify this. When `false`, only the first row is inspected and the
shard it routes to is used for the whole input — a faster path for callers
that have already pre-sharded their input. Has no effect on tables without
an LSM write spec.
#### Parameters
* **validateSingleShard**: `boolean`
Whether to check every row routes to one shard. Defaults to `true`.
#### Returns
[`MergeInsertBuilder`](MergeInsertBuilder.md)
***
### whenMatchedUpdateAll()
```ts

View File

@@ -343,30 +343,6 @@ This is useful for pagination.
***
### orderBy()
```ts
orderBy(ordering): this
```
Sort the results by the specified column(s).
#### Parameters
* **ordering**: [`ColumnOrdering`](../interfaces/ColumnOrdering.md) \| [`ColumnOrdering`](../interfaces/ColumnOrdering.md)[]
#### Returns
`this`
This query builder.
#### Inherited from
`StandardQueryBase.orderBy`
***
### outputSchema()
```ts

View File

@@ -1,173 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / Scannable
# Class: Scannable
A data source that can be scanned as a stream of Arrow `RecordBatch`es.
`Scannable` wraps the schema + optional row count + rescannable flag and
a callback that yields batches one at a time. It is passed to consumers
(e.g. `Table.add`, `createTable`, `mergeInsert` — follow-up work) that
need to pull data without materializing the full dataset in JS memory.
Batches cross the JS↔Rust boundary as Arrow IPC Stream messages; a fresh
writer serializes each batch, and the Rust side decodes it with
`arrow_ipc::reader::StreamReader`. One batch is in flight at a time.
## Properties
### numRows
```ts
readonly numRows: null | number;
```
***
### rescannable
```ts
readonly rescannable: boolean;
```
***
### schema
```ts
readonly schema: Schema<any>;
```
## Methods
### fromFactory()
```ts
static fromFactory(
schema,
factory,
opts): Promise<Scannable>
```
Build a Scannable from an explicit schema and a factory that returns a
fresh batch iterator on each call.
The factory is invoked once per scan. Each iterator yields
`RecordBatch`es matching the declared schema. Use this when you need
direct control over the pull loop — for example, to wrap a streaming
source whose batches are produced lazily.
#### Parameters
* **schema**: `Schema`&lt;`any`&gt;
The Arrow schema of the produced batches.
* **factory**
Called at the start of each scan to produce a batch
iterator. Must be idempotent when `rescannable` is true.
* **opts**: [`ScannableOptions`](../interfaces/ScannableOptions.md) = `{}`
Optional hints. `rescannable` defaults to `true`; set to
`false` if calling `factory()` twice would not reproduce the same data.
#### Returns
`Promise`&lt;[`Scannable`](Scannable.md)&gt;
***
### fromIterable()
```ts
static fromIterable(
schema,
iter,
opts): Promise<Scannable>
```
Build a Scannable from an iterable of `RecordBatch`es. `rescannable`
defaults to `false`. Pass an explicit schema so the consumer can
validate before any batch is pulled.
`opts.rescannable: true` is honest for replayable iterables (Arrays,
Sets, or custom iterables whose `[Symbol.iterator]()` returns a fresh
iterator each call). It is rejected for one-shot iterables (generators,
async generators, or already-an-iterator inputs) because their
`[Symbol.iterator]()` returns the same exhausted object on the second
scan. For replayable sources outside this shape, use
`fromFactory(schema, () => createIter(), { rescannable: true })`.
Note: when `opts.rescannable` is `true`, the constructor calls
`[Symbol.iterator]()` once on the input to perform the structural check.
#### Parameters
* **schema**: `Schema`&lt;`any`&gt;
* **iter**: `Iterable`&lt;`RecordBatch`&lt;`any`&gt;&gt; \| `AsyncIterable`&lt;`RecordBatch`&lt;`any`&gt;&gt;
* **opts**: [`ScannableOptions`](../interfaces/ScannableOptions.md) = `{}`
#### Returns
`Promise`&lt;[`Scannable`](Scannable.md)&gt;
***
### fromRecordBatchReader()
```ts
static fromRecordBatchReader(reader, opts): Promise<Scannable>
```
Build a Scannable from an Arrow `RecordBatchReader`. A reader can only
be consumed once; `rescannable` defaults to `false`.
The reader must already be opened (via `.open()`) so its `.schema` is
populated. `RecordBatchReader.from(...)` returns an unopened reader.
`opts.rescannable: true` is rejected because `RecordBatchReader` is a
self-iterator (its `[Symbol.iterator]()` returns itself), and this
constructor does not call `reader.reset()` between scans, so a second
scan would always see an exhausted reader. For genuinely replayable
sources, use
`fromFactory(schema, () => openReader(), { rescannable: true })`,
which mints a fresh reader on each scan.
#### Parameters
* **reader**: `RecordBatchReader`&lt;`any`&gt;
* **opts**: [`ScannableOptions`](../interfaces/ScannableOptions.md) = `{}`
#### Returns
`Promise`&lt;[`Scannable`](Scannable.md)&gt;
***
### fromTable()
```ts
static fromTable(table, opts): Promise<Scannable>
```
Build a Scannable from an in-memory Arrow `Table`. Always rescannable;
the table's batches are replayed on each scan.
The table's row count is authoritative: `opts.numRows` must either be
omitted or equal to `table.numRows`. `opts.rescannable` of `false` is
rejected because in-memory Tables are always rescannable.
#### Parameters
* **table**: `Table`&lt;`any`&gt;
* **opts**: [`ScannableOptions`](../interfaces/ScannableOptions.md) = `{}`
#### Returns
`Promise`&lt;[`Scannable`](Scannable.md)&gt;

View File

@@ -187,25 +187,6 @@ Any attempt to use the table after it is closed will result in an error.
***
### closeLsmWriters()
```ts
abstract closeLsmWriters(): Promise<void>
```
Drain and close any cached MemWAL shard writers held for this table.
When an [LsmWriteSpec](../interfaces/LsmWriteSpec.md) is installed, `mergeInsert` opens MemWAL
shard writers and caches them for reuse across calls. This closes them,
flushing pending data; writers reopen lazily on the next `mergeInsert`.
It is a no-op when no writers are cached.
#### Returns
`Promise`&lt;`void`&gt;
***
### countRows()
```ts
@@ -520,34 +501,6 @@ Modeled after ``VACUUM`` in PostgreSQL.
***
### prewarmData()
```ts
abstract prewarmData(columns?): Promise<void>
```
Prewarm one or more columns of data in the table.
#### Parameters
* **columns?**: `string`[]
The columns to prewarm. If undefined, all columns are prewarmed.
This will load the column data into the page cache so that future queries that
read those columns avoid the initial cold-start latency. This call initiates
prewarming and returns once the request is accepted; the warming itself may
continue in the background. Calling it on already-prewarmed columns is a
no-op on the server.
Prewarming is generally useful for columns used in filters or projections.
Large columns (e.g. high-dimensional vectors or binary data) may not be
practical to prewarm.
This feature is currently only supported on remote tables.
#### Returns
`Promise`&lt;`void`&gt;
***
### prewarmIndex()
```ts
@@ -709,74 +662,6 @@ of the given query
***
### setLsmWriteSpec()
```ts
abstract setLsmWriteSpec(spec): Promise<void>
```
Install an [LsmWriteSpec](../interfaces/LsmWriteSpec.md) on this table, selecting Lance's MemWAL
LSM-style write path for future `mergeInsert` calls.
`LsmWriteSpec` chooses one of three sharding strategies via `specType`:
- `"bucket"` — hash-bucket writes by the single-column unenforced primary
key (`column` and `numBuckets` required).
- `"identity"` — shard by the raw value of a scalar `column`.
- `"unsharded"` — route every write to a single shard.
All variants require the table to have an unenforced primary key
([Table#setUnenforcedPrimaryKey](Table.md#setunenforcedprimarykey)); bucket sharding additionally
requires it to be the single column being bucketed.
#### Parameters
* **spec**: [`LsmWriteSpec`](../interfaces/LsmWriteSpec.md)
The sharding spec to install.
#### Returns
`Promise`&lt;`void`&gt;
#### Example
```ts
await table.setUnenforcedPrimaryKey("id");
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 16,
maintainedIndexes: ["id_idx"],
});
```
***
### setUnenforcedPrimaryKey()
```ts
abstract setUnenforcedPrimaryKey(columns): Promise<void>
```
Set the unenforced primary key for this table to a single column.
"Unenforced" means LanceDB does not check uniqueness on writes; the
column is recorded in the schema as the primary key for use by features
such as `merge_insert`. Only single-column primary keys are supported,
and the key cannot be changed once set.
#### Parameters
* **columns**: `string` \| `string`[]
The primary key column. A one-element
array is also accepted; passing more than one column is rejected.
#### Returns
`Promise`&lt;`void`&gt;
***
### stats()
```ts
@@ -880,23 +765,6 @@ Return the table as an arrow table
***
### unsetLsmWriteSpec()
```ts
abstract unsetLsmWriteSpec(): Promise<void>
```
Remove the [LsmWriteSpec](../interfaces/LsmWriteSpec.md) from this table, reverting to the standard
`mergeInsert` write path.
Errors if no spec is currently set.
#### Returns
`Promise`&lt;`void`&gt;
***
### update()
#### update(opts)

View File

@@ -498,30 +498,6 @@ This is useful for pagination.
***
### orderBy()
```ts
orderBy(ordering): this
```
Sort the results by the specified column(s).
#### Parameters
* **ordering**: [`ColumnOrdering`](../interfaces/ColumnOrdering.md) \| [`ColumnOrdering`](../interfaces/ColumnOrdering.md)[]
#### Returns
`this`
This query builder.
#### Inherited from
`StandardQueryBase.orderBy`
***
### outputSchema()
```ts

View File

@@ -1,131 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / connectNamespace
# Function: connectNamespace()
## connectNamespace(implName, config, options)
```ts
function connectNamespace(
implName,
config,
options?): Promise<Connection>
```
Connect to a LanceDB database through a namespace.
Unlike [connect](connect.md), which routes by URI scheme (local path vs.
`db://` cloud), `connectNamespace` always returns a namespace-backed
connection. The `implName` selects the namespace implementation:
- `"dir"` — directory namespace, configured with [DirNamespaceConfig](../interfaces/DirNamespaceConfig.md).
- `"rest"` — remote REST catalog, configured with [RestNamespaceConfig](../interfaces/RestNamespaceConfig.md).
- Any other string — full module path for a custom implementation,
configured with a free-form string-keyed `properties` map.
### Parameters
* **implName**: `"dir"`
* **config**: [`DirNamespaceConfig`](../interfaces/DirNamespaceConfig.md)
* **options?**: `Partial`&lt;[`ConnectNamespaceOptions`](../interfaces/ConnectNamespaceOptions.md)&gt;
### Returns
`Promise`&lt;[`Connection`](../classes/Connection.md)&gt;
### Examples
```ts
const db = await connectNamespace("dir", { root: "/path/to/db" });
await db.createTable("users", [{ id: 1 }]);
```
```ts
const db = await connectNamespace("rest", {
uri: "https://catalog.example.com",
headers: { "x-api-key": process.env.CATALOG_KEY ?? "" },
});
```
```ts
const db = await connectNamespace("my.custom.Namespace", {
endpoint: "...",
});
```
## connectNamespace(implName, config, options)
```ts
function connectNamespace(
implName,
config,
options?): Promise<Connection>
```
Connect through the built-in REST namespace.
Configured with [RestNamespaceConfig](../interfaces/RestNamespaceConfig.md). See the function-level
documentation above for the full surface, examples, and how this
relates to [connect](connect.md).
### Parameters
* **implName**: `"rest"`
* **config**: [`RestNamespaceConfig`](../interfaces/RestNamespaceConfig.md)
* **options?**: `Partial`&lt;[`ConnectNamespaceOptions`](../interfaces/ConnectNamespaceOptions.md)&gt;
### Returns
`Promise`&lt;[`Connection`](../classes/Connection.md)&gt;
### Example
```ts
const db = await connectNamespace("rest", {
uri: "https://catalog.example.com",
headers: { "x-api-key": process.env.CATALOG_KEY ?? "" },
});
```
## connectNamespace(implName, properties, options)
```ts
function connectNamespace(
implName,
properties,
options?): Promise<Connection>
```
Connect through a custom namespace implementation by full module path,
configured with a free-form string-keyed `properties` map. Use the
typed overloads above for the built-in `"dir"` and `"rest"` impls.
See the function-level documentation above for examples and how this
relates to [connect](connect.md).
### Parameters
* **implName**: `string`
* **properties**: `Record`&lt;`string`, `string`&gt;
* **options?**: `Partial`&lt;[`ConnectNamespaceOptions`](../interfaces/ConnectNamespaceOptions.md)&gt;
### Returns
`Promise`&lt;[`Connection`](../classes/Connection.md)&gt;
### Example
```ts
const db = await connectNamespace("my.custom.Namespace", {
endpoint: "...",
});
```

View File

@@ -32,7 +32,6 @@
- [PhraseQuery](classes/PhraseQuery.md)
- [Query](classes/Query.md)
- [QueryBase](classes/QueryBase.md)
- [Scannable](classes/Scannable.md)
- [Session](classes/Session.md)
- [StaticHeaderProvider](classes/StaticHeaderProvider.md)
- [Table](classes/Table.md)
@@ -51,19 +50,11 @@
- [AlterColumnsResult](interfaces/AlterColumnsResult.md)
- [ClientConfig](interfaces/ClientConfig.md)
- [ColumnAlteration](interfaces/ColumnAlteration.md)
- [ColumnOrdering](interfaces/ColumnOrdering.md)
- [CompactionStats](interfaces/CompactionStats.md)
- [ConnectNamespaceOptions](interfaces/ConnectNamespaceOptions.md)
- [ConnectionOptions](interfaces/ConnectionOptions.md)
- [CreateNamespaceOptions](interfaces/CreateNamespaceOptions.md)
- [CreateNamespaceResponse](interfaces/CreateNamespaceResponse.md)
- [CreateTableOptions](interfaces/CreateTableOptions.md)
- [DeleteResult](interfaces/DeleteResult.md)
- [DescribeNamespaceResponse](interfaces/DescribeNamespaceResponse.md)
- [DirNamespaceConfig](interfaces/DirNamespaceConfig.md)
- [DropColumnsResult](interfaces/DropColumnsResult.md)
- [DropNamespaceOptions](interfaces/DropNamespaceOptions.md)
- [DropNamespaceResponse](interfaces/DropNamespaceResponse.md)
- [ExecutableQuery](interfaces/ExecutableQuery.md)
- [FragmentStatistics](interfaces/FragmentStatistics.md)
- [FragmentSummaryStats](interfaces/FragmentSummaryStats.md)
@@ -78,19 +69,13 @@
- [IvfFlatOptions](interfaces/IvfFlatOptions.md)
- [IvfPqOptions](interfaces/IvfPqOptions.md)
- [IvfRqOptions](interfaces/IvfRqOptions.md)
- [ListNamespacesOptions](interfaces/ListNamespacesOptions.md)
- [ListNamespacesResponse](interfaces/ListNamespacesResponse.md)
- [LsmWriteSpec](interfaces/LsmWriteSpec.md)
- [MergeResult](interfaces/MergeResult.md)
- [OpenTableOptions](interfaces/OpenTableOptions.md)
- [OptimizeOptions](interfaces/OptimizeOptions.md)
- [OptimizeStats](interfaces/OptimizeStats.md)
- [QueryExecutionOptions](interfaces/QueryExecutionOptions.md)
- [RemovalStats](interfaces/RemovalStats.md)
- [RenameTableOptions](interfaces/RenameTableOptions.md)
- [RestNamespaceConfig](interfaces/RestNamespaceConfig.md)
- [RetryConfig](interfaces/RetryConfig.md)
- [ScannableOptions](interfaces/ScannableOptions.md)
- [ShuffleOptions](interfaces/ShuffleOptions.md)
- [SplitCalculatedOptions](interfaces/SplitCalculatedOptions.md)
- [SplitHashOptions](interfaces/SplitHashOptions.md)
@@ -105,7 +90,6 @@
- [UpdateResult](interfaces/UpdateResult.md)
- [Version](interfaces/Version.md)
- [WriteExecutionOptions](interfaces/WriteExecutionOptions.md)
- [WriteProgress](interfaces/WriteProgress.md)
## Type Aliases
@@ -123,7 +107,6 @@
- [RecordBatchIterator](functions/RecordBatchIterator.md)
- [connect](functions/connect.md)
- [connectNamespace](functions/connectNamespace.md)
- [makeArrowTable](functions/makeArrowTable.md)
- [packBits](functions/packBits.md)
- [permutationBuilder](functions/permutationBuilder.md)

View File

@@ -19,39 +19,3 @@ mode: "append" | "overwrite";
If "append" (the default) then the new data will be added to the table
If "overwrite" then the new data will replace the existing data in the table.
***
### progress()
```ts
progress: (progress) => void;
```
Optional callback invoked periodically with write progress.
The callback is fired once per batch written and once more with
`done: true` when the write completes. Calls are dispatched
asynchronously to the JS event loop and never block the write — a slow
callback will queue events rather than back-pressure the writer.
Errors thrown from the callback are logged with `console.warn` and
swallowed — they do not abort the write.
#### Parameters
* **progress**: [`WriteProgress`](WriteProgress.md)
#### Returns
`void`
#### Example
```ts
await table.add(data, {
progress: (p) => {
console.log(`${p.outputRows}/${p.totalRows ?? "?"} rows`);
},
});
```

View File

@@ -1,31 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / ColumnOrdering
# Interface: ColumnOrdering
## Properties
### ascending?
```ts
optional ascending: boolean;
```
***
### columnName
```ts
columnName: string;
```
***
### nullsFirst?
```ts
optional nullsFirst: boolean;
```

View File

@@ -1,54 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / ConnectNamespaceOptions
# Interface: ConnectNamespaceOptions
## Properties
### namespaceClientProperties?
```ts
optional namespaceClientProperties: Record<string, string>;
```
Extra properties for the backing namespace client.
***
### readConsistencyInterval?
```ts
optional readConsistencyInterval: number;
```
The interval, in seconds, at which to check for updates to the table
from other processes. If None, then consistency is not checked. For
performance reasons, this is the default. For strong consistency, set
this to zero seconds. Then every read will check for updates from other
processes. As a compromise, you can set this to a non-zero value for
eventual consistency.
***
### session?
```ts
optional session: Session;
```
The session to use for this connection. Holds shared caches and other
session-specific state.
***
### storageOptions?
```ts
optional storageOptions: Record<string, string>;
```
Configuration for object storage. The available options are described
at https://docs.lancedb.com/storage/

View File

@@ -70,20 +70,16 @@ client used by manifest-enabled native connections.
optional readConsistencyInterval: number;
```
The interval, in seconds, at which to check for updates to the table
from other processes. If None, then consistency is not checked. For
performance reasons, this is the default. For strong consistency, set
this to zero seconds. Then every read will check for updates from other
processes. As a compromise, you can set this to a non-zero value for
eventual consistency. If more than that interval has passed since the
last check, then the table will be checked for updates. Note: this
consistency only applies to read operations. Write operations are
(For LanceDB OSS only): The interval, in seconds, at which to check for
updates to the table from other processes. If None, then consistency is not
checked. For performance reasons, this is the default. For strong
consistency, set this to zero seconds. Then every read will check for
updates from other processes. As a compromise, you can set this to a
non-zero value for eventual consistency. If more than that interval
has passed since the last check, then the table will be checked for updates.
Note: this consistency only applies to read operations. Write operations are
always consistent.
Stronger consistency is not free. The smaller the interval, the more
often each read pays the cost of checking for updates against object
storage, raising per-read latency and cost.
***
### region?

View File

@@ -1,27 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / CreateNamespaceOptions
# Interface: CreateNamespaceOptions
## Properties
### mode?
```ts
optional mode: "overwrite" | "create" | "exist_ok";
```
Creation mode.
***
### properties?
```ts
optional properties: Record<string, string>;
```
Properties to set on the new namespace.

View File

@@ -1,23 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / CreateNamespaceResponse
# Interface: CreateNamespaceResponse
## Properties
### properties?
```ts
optional properties: Record<string, string>;
```
***
### transactionId?
```ts
optional transactionId: string;
```

View File

@@ -1,15 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / DescribeNamespaceResponse
# Interface: DescribeNamespaceResponse
## Properties
### properties?
```ts
optional properties: Record<string, string>;
```

View File

@@ -1,47 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / DirNamespaceConfig
# Interface: DirNamespaceConfig
Configuration for the built-in directory namespace (`"dir"`).
The directory namespace stores tables under a single root path (local
filesystem or object storage URI). See
[https://docs.lancedb.com/namespaces](https://docs.lancedb.com/namespaces) for the documented surface;
less-common knobs live under [DirNamespaceConfig.extraProperties](DirNamespaceConfig.md#extraproperties).
## Properties
### extraProperties?
```ts
optional extraProperties: Record<string, string>;
```
Additional raw properties passed verbatim to the namespace
implementation (e.g. `storage.*`, `credential_vendor.*`). Typed
fields above take precedence on key collision.
***
### manifestEnabled?
```ts
optional manifestEnabled: boolean;
```
Whether to maintain a namespace manifest at the root. Required for
child namespaces. Defaults to true on the impl side.
***
### root
```ts
root: string;
```
Root path or URI containing the LanceDB tables.

View File

@@ -1,27 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / DropNamespaceOptions
# Interface: DropNamespaceOptions
## Properties
### behavior?
```ts
optional behavior: "restrict" | "cascade";
```
Refuse to drop if non-empty (restrict) or drop recursively (cascade).
***
### mode?
```ts
optional mode: "fail" | "skip";
```
Whether to skip if the namespace doesn't exist, or fail.

View File

@@ -1,23 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / DropNamespaceResponse
# Interface: DropNamespaceResponse
## Properties
### properties?
```ts
optional properties: Record<string, string>;
```
***
### transactionId?
```ts
optional transactionId: string[];
```

View File

@@ -1,27 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / ListNamespacesOptions
# Interface: ListNamespacesOptions
## Properties
### limit?
```ts
optional limit: number;
```
An optional limit to the number of results to return.
***
### pageToken?
```ts
optional pageToken: string;
```
Token from a previous response for pagination.

View File

@@ -1,23 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / ListNamespacesResponse
# Interface: ListNamespacesResponse
## Properties
### namespaces
```ts
namespaces: string[];
```
***
### pageToken?
```ts
optional pageToken: string;
```

View File

@@ -1,67 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / LsmWriteSpec
# Interface: LsmWriteSpec
Specification selecting Lance's MemWAL LSM-style write path for
`mergeInsert`.
`specType` is `"bucket"`, `"identity"`, or `"unsharded"`. For `"bucket"`,
`column` and `numBuckets` are required; for `"identity"`, `column` is
required and must be a deterministic function of the unenforced primary
key (every row with a given primary key must always produce the same
`column` value, or upserts of that key can land in different shards and a
stale version can win).
## Properties
### column?
```ts
optional column: string;
```
Bucket and identity variants: the sharding column.
***
### maintainedIndexes?
```ts
optional maintainedIndexes: string[];
```
Names of indexes the MemWAL should keep up to date during writes.
***
### numBuckets?
```ts
optional numBuckets: number;
```
Bucket variant: the number of buckets, in `[1, 1024]`.
***
### specType
```ts
specType: "bucket" | "identity" | "unsharded";
```
One of `"bucket"`, `"identity"`, or `"unsharded"`.
***
### writerConfigDefaults?
```ts
optional writerConfigDefaults: Record<string, string>;
```
Default `ShardWriter` configuration recorded in the MemWAL index.

View File

@@ -32,14 +32,6 @@ numInsertedRows: number;
***
### numRows
```ts
numRows: number;
```
***
### numUpdatedRows
```ts

View File

@@ -1,29 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / RenameTableOptions
# Interface: RenameTableOptions
## Properties
### namespacePath?
```ts
optional namespacePath: string[];
```
The namespace path of the table being renamed. Defaults to the root
namespace (`[]`) when omitted.
***
### newNamespacePath?
```ts
optional newNamespacePath: string[];
```
The namespace path to move the table to as part of the rename. When
omitted the table stays in `namespacePath`.

View File

@@ -1,47 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / RestNamespaceConfig
# Interface: RestNamespaceConfig
Configuration for the built-in REST namespace (`"rest"`).
The REST namespace talks to a remote catalog server over HTTP. See
[https://docs.lancedb.com/namespaces](https://docs.lancedb.com/namespaces) for the documented surface;
less-common knobs (TLS, metrics) live under
[RestNamespaceConfig.extraProperties](RestNamespaceConfig.md#extraproperties).
## Properties
### extraProperties?
```ts
optional extraProperties: Record<string, string>;
```
Additional raw properties passed verbatim to the namespace
implementation (e.g. `tls.*`, `ops_metrics_enabled`, `delimiter`).
Typed fields above take precedence on key collision.
***
### headers?
```ts
optional headers: Record<string, string>;
```
HTTP headers forwarded with each request. Keys are passed through
as-is (e.g. `"x-api-key"`, `"Authorization"`).
***
### uri
```ts
uri: string;
```
Catalog endpoint URL.

View File

@@ -1,29 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / ScannableOptions
# Interface: ScannableOptions
## Properties
### numRows?
```ts
optional numRows: number;
```
Hint about the number of rows. Not validated against the stream.
***
### rescannable?
```ts
optional rescannable: boolean;
```
Whether the source can be scanned more than once. Defaults to `true` for
`fromTable` / `fromFactory` and `false` for `fromIterable` /
`fromRecordBatchReader`.

View File

@@ -1,84 +0,0 @@
[**@lancedb/lancedb**](../README.md) • **Docs**
***
[@lancedb/lancedb](../globals.md) / WriteProgress
# Interface: WriteProgress
Progress snapshot for a write operation, delivered to the `progress`
callback passed to [Table.add](../classes/Table.md#add).
## Properties
### activeTasks
```ts
activeTasks: number;
```
Number of parallel write tasks currently in flight.
***
### done
```ts
done: boolean;
```
`true` for the final callback; `false` otherwise.
***
### elapsedSeconds
```ts
elapsedSeconds: number;
```
Wall-clock seconds since the write started.
***
### outputBytes
```ts
outputBytes: number;
```
Number of bytes written so far.
***
### outputRows
```ts
outputRows: number;
```
Number of rows written so far.
***
### totalRows?
```ts
optional totalRows: number;
```
Total rows expected, when the input source reports it.
Always set on the final callback (the one with `done: true`), falling
back to the actual number of rows written when the source could not
report a row count up front.
***
### totalTasks
```ts
totalTasks: number;
```
Total number of parallel write tasks (the write parallelism).

View File

@@ -94,11 +94,11 @@ of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and
## Full text search
Use [lancedb.table.Table.create_fts_index][] for the synchronous API or
[lancedb.table.AsyncTable.create_index][] with [lancedb.index.FTS][] for the
asynchronous API.
::: lancedb.fts.create_index
::: lancedb.index.FTS
::: lancedb.fts.populate_index
::: lancedb.fts.search_index
## Utilities
@@ -166,12 +166,6 @@ lists the indices that LanceDb supports.
::: lancedb.index.IvfFlat
::: lancedb.index.IvfSq
::: lancedb.index.IvfRq
::: lancedb.index.HnswFlat
::: lancedb.table.IndexStatistics
## Querying (Asynchronous)

View File

@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.30.0-beta.1</version>
<version>0.28.0-beta.10</version>
<relativePath>../pom.xml</relativePath>
</parent>

View File

@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.30.0-beta.1</version>
<version>0.28.0-beta.10</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>7.2.0-beta.1</lance-core.version>
<lance-core.version>6.0.0-beta.4</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

@@ -3,11 +3,11 @@ The core Rust library is in the `../rust/lancedb` directory, the rust binding
code is in the `src/` directory and the typescript bindings are in
the `lancedb/` directory.
Whenever you change the Rust code, you will need to recompile: `pnpm build`.
Whenever you change the Rust code, you will need to recompile: `npm run build`.
Common commands:
* Build: `pnpm build`
* Lint: `pnpm lint`
* Fix lints: `pnpm lint-fix`
* Test: `pnpm test`
* Run single test file: `pnpm test __test__/arrow.test.ts`
* Build: `npm run build`
* Lint: `npm run lint`
* Fix lints: `npm run lint-fix`
* Test: `npm test`
* Run single test file: `npm test __test__/arrow.test.ts`

View File

@@ -12,22 +12,20 @@ Typescript.
* `src/`: Rust bindings source code
* `lancedb/`: Typescript package source code
* `__test__/`: Unit tests
* `examples/`: A pnpm package with the examples shown in the documentation
* `examples/`: An npm package with the examples shown in the documentation
## Development environment
To set up your development environment, you will need to install the following:
1. Node.js 22 or later (required by pnpm 11)
2. [pnpm](https://pnpm.io/installation) 11 or later (or run via `corepack enable`,
which uses the `packageManager` field in `package.json`)
3. Rust's package manager, Cargo. Use [rustup](https://rustup.rs/) to install.
4. [protoc](https://grpc.io/docs/protoc-installation/) (Protocol Buffers compiler)
1. Node.js 14 or later
2. Rust's package manager, Cargo. Use [rustup](https://rustup.rs/) to install.
3. [protoc](https://grpc.io/docs/protoc-installation/) (Protocol Buffers compiler)
Initial setup:
```shell
pnpm install
npm install
```
### Commit Hooks
@@ -41,38 +39,38 @@ pre-commit install
## Development
Most common development commands can be run using the pnpm scripts.
Most common development commands can be run using the npm scripts.
Build the package
```shell
pnpm install
pnpm build
npm install
npm run build
```
Lint:
```shell
pnpm lint
npm run lint
```
Format and fix lints:
```shell
pnpm lint-fix
npm run lint-fix
```
Run tests:
```shell
pnpm test
npm test
```
To run a single test:
```shell
# Single file: table.test.ts
pnpm test -- table.test.ts
npm test -- table.test.ts
# Single test: 'merge insert' in table.test.ts
pnpm test -- table.test.ts --testNamePattern=merge\ insert
npm test -- table.test.ts --testNamePattern=merge\ insert
```

View File

@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.30.0-beta.1"
version = "0.28.0-beta.10"
publish = false
license.workspace = true
description.workspace = true
@@ -16,13 +16,12 @@ crate-type = ["cdylib"]
async-trait.workspace = true
arrow-ipc.workspace = true
arrow-array.workspace = true
arrow-buffer = "58.0.0"
arrow-buffer = "57.2"
half.workspace = true
arrow-schema.workspace = true
env_logger.workspace = true
futures.workspace = true
lancedb = { path = "../rust/lancedb", default-features = false }
lance-namespace.workspace = true
napi = { version = "3.8.3", default-features = false, features = [
"napi9",
"async"

View File

@@ -4,7 +4,7 @@
import { readdirSync } from "fs";
import { Field, Float64, Schema } from "apache-arrow";
import * as tmp from "tmp";
import { Connection, Table, connect, connectNamespace } from "../lancedb";
import { Connection, Table, connect } from "../lancedb";
import { LocalTable } from "../lancedb/table";
describe("when connecting", () => {
@@ -47,14 +47,6 @@ describe("given a connection", () => {
await db.close();
expect(db.isOpen()).toBe(false);
await expect(db.tableNames()).rejects.toThrow("Connection is closed");
await expect(db.renameTable("a", "b")).rejects.toThrow(
"Connection is closed",
);
});
it("should report renameTable as unsupported on an OSS connection", async () => {
await db.createTable("a", [{ id: 1 }]);
await expect(db.renameTable("a", "b")).rejects.toThrow(/not supported/);
});
it("should be able to create a table from an object arg `createTable(options)`, or args `createTable(name, data, options)`", async () => {
let tbl = await db.createTable("test", [{ id: 1 }, { id: 2 }]);
@@ -171,22 +163,18 @@ describe("given a connection", () => {
let manifestDir =
tmpDir.name + "/test_manifest_paths_v2_empty.lance/_versions";
readdirSync(manifestDir)
.filter((f) => f.endsWith(".manifest"))
.forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
readdirSync(manifestDir).forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
table = (await db.createTable("test_manifest_paths_v2", [{ id: 1 }], {
enableV2ManifestPaths: true,
})) as LocalTable;
expect(await table.usesV2ManifestPaths()).toBe(true);
manifestDir = tmpDir.name + "/test_manifest_paths_v2.lance/_versions";
readdirSync(manifestDir)
.filter((f) => f.endsWith(".manifest"))
.forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
readdirSync(manifestDir).forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
});
it("should be able to migrate tables to the V2 manifest paths", async () => {
@@ -203,20 +191,16 @@ describe("given a connection", () => {
const manifestDir =
tmpDir.name + "/test_manifest_path_migration.lance/_versions";
readdirSync(manifestDir)
.filter((f) => f.endsWith(".manifest"))
.forEach((file) => {
expect(file).toMatch(/^\d\.manifest$/);
});
readdirSync(manifestDir).forEach((file) => {
expect(file).toMatch(/^\d\.manifest$/);
});
await table.migrateManifestPathsV2();
expect(await table.usesV2ManifestPaths()).toBe(true);
readdirSync(manifestDir)
.filter((f) => f.endsWith(".manifest"))
.forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
readdirSync(manifestDir).forEach((file) => {
expect(file).toMatch(/^\d{20}\.manifest$/);
});
});
});
@@ -322,186 +306,3 @@ describe("clone table functionality", () => {
).rejects.toThrow("Deep clone is not yet implemented");
});
});
describe("namespaces", () => {
let tmpDir: tmp.DirResult;
let db: Connection;
beforeEach(async () => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
// The local DirectoryNamespace backend only supports child namespaces
// when manifest mode is enabled (see lance-namespace-impls/src/dir.rs).
db = await connect(tmpDir.name, {
// biome-ignore lint/style/useNamingConvention: opaque backend property key, must match Rust
namespaceClientProperties: { manifest_enabled: "true" },
});
});
afterEach(() => tmpDir.removeCallback());
it("should create and describe a namespace", async () => {
await db.createNamespace(["myns"]);
const desc = await db.describeNamespace(["myns"]);
expect(desc).toBeDefined();
});
it("should list namespaces created at the root", async () => {
await db.createNamespace(["alpha"]);
await db.createNamespace(["beta"]);
const list = await db.listNamespaces();
expect(list.namespaces).toEqual(expect.arrayContaining(["alpha", "beta"]));
});
it("should list child namespaces under a parent", async () => {
await db.createNamespace(["parent"]);
await db.createNamespace(["parent", "child"]);
const list = await db.listNamespaces(["parent"]);
expect(list.namespaces).toContain("child");
});
it("should drop a namespace", async () => {
await db.createNamespace(["ephemeral"]);
await db.dropNamespace(["ephemeral"]);
const list = await db.listNamespaces();
expect(list.namespaces).not.toContain("ephemeral");
});
it("should raise an error on any namespace op after close", async () => {
await db.close();
await expect(db.describeNamespace(["foo"])).rejects.toThrow(
"Connection is closed",
);
await expect(db.listNamespaces()).rejects.toThrow("Connection is closed");
await expect(db.createNamespace(["foo"])).rejects.toThrow(
"Connection is closed",
);
await expect(db.dropNamespace(["foo"])).rejects.toThrow(
"Connection is closed",
);
});
it("should raise an understandable error when describing a non-existent namespace", async () => {
await expect(db.describeNamespace(["does-not-exist"])).rejects.toThrow(
/not found/i,
);
});
it("should raise an error when creating a namespace that already exists", async () => {
await db.createNamespace(["dup"]);
await expect(db.createNamespace(["dup"])).rejects.toThrow();
});
it("should reject an unrecognized createNamespace mode with a clear error", async () => {
await expect(
// biome-ignore lint/suspicious/noExplicitAny: deliberately bypass TS to test runtime validation
db.createNamespace(["x"], { mode: "frobnicate" as any }),
).rejects.toThrow(/Invalid mode 'frobnicate'/);
});
it("should reject an unrecognized dropNamespace mode with a clear error", async () => {
await db.createNamespace(["x"]);
await expect(
// biome-ignore lint/suspicious/noExplicitAny: deliberately bypass TS to test runtime validation
db.dropNamespace(["x"], { mode: "frobnicate" as any }),
).rejects.toThrow(/Invalid mode 'frobnicate'/);
});
it("should reject an unrecognized dropNamespace behavior with a clear error", async () => {
await db.createNamespace(["x"]);
await expect(
// biome-ignore lint/suspicious/noExplicitAny: deliberately bypass TS to test runtime validation
db.dropNamespace(["x"], { behavior: "frobnicate" as any }),
).rejects.toThrow(/Invalid behavior 'frobnicate'/);
});
});
describe("connectNamespace", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
it("connects via the dir implementation and supports table ops", async () => {
const db = await connectNamespace("dir", { root: tmpDir.name });
await db.createTable("users", [{ id: 1 }, { id: 2 }]);
await expect(db.tableNames()).resolves.toContain("users");
});
it("throws a clear error when implName is empty", async () => {
await expect(connectNamespace("", {})).rejects.toThrow(
"implName must be a non-empty string",
);
});
it("throws when the namespace implementation is unknown", async () => {
await expect(connectNamespace("not-a-real-impl", {})).rejects.toThrow();
});
it("passes storage options through to the namespace", async () => {
const db = await connectNamespace(
"dir",
{ root: tmpDir.name },
{ storageOptions: { newTableDataStorageVersion: "stable" } },
);
await db.createTable("plumbing", [{ id: 1 }]);
await expect(db.tableNames()).resolves.toContain("plumbing");
});
it("supports child namespaces when manifestEnabled is true on the dir config", async () => {
const writer = await connectNamespace("dir", {
root: tmpDir.name,
manifestEnabled: true,
});
await writer.createNamespace(["analytics"]);
await writer.createTable("orders", [{ id: 1 }, { id: 2 }], ["analytics"]);
await writer.close();
const reader = await connectNamespace("dir", {
root: tmpDir.name,
manifestEnabled: true,
});
await expect(reader.tableNames(["analytics"])).resolves.toContain("orders");
const orders = await reader.openTable("orders", ["analytics"]);
await expect(orders.countRows()).resolves.toBe(2);
});
it("merges extraProperties into the dir config and is overridden by typed fields", async () => {
// Two observable assertions:
// - Typed `root` overrides extraProperties.root: createTable would fail
// under the bogus path if the override didn't happen.
// - extraProperties.manifest_enabled="false" is honored end-to-end. Child
// namespaces require manifest mode (default true), so explicitly
// disabling it via extraProperties must make createNamespace reject. If
// extraProperties pass-through were silently broken, the default would
// let createNamespace succeed.
const db = await connectNamespace("dir", {
root: tmpDir.name,
extraProperties: {
root: "/should/be/overridden",
// biome-ignore lint/style/useNamingConvention: backend property key
manifest_enabled: "false",
},
});
await db.createTable("base", [{ id: 1 }]);
await expect(db.tableNames()).resolves.toContain("base");
await expect(db.createNamespace(["analytics"])).rejects.toThrow();
});
it("flows unknown top-level keys through when implName is dynamic (no silent drop)", async () => {
// Routes via the third overload because `impl` is `string`, not the
// literal `"dir"`. The dispatcher still notices the runtime value is
// "dir", but unknown keys like `manifest_enabled` must not be silently
// dropped during the conversion.
//
// Asserting a *negative* outcome (manifest disabled -> createNamespace
// rejects) is required for observability, since the backend default for
// `manifest_enabled` is true.
const impl: string = "dir";
const db = await connectNamespace(impl, {
root: tmpDir.name,
// biome-ignore lint/style/useNamingConvention: backend property key
manifest_enabled: "false",
});
await expect(db.createNamespace(["mixed"])).rejects.toThrow();
});
});

View File

@@ -109,209 +109,3 @@ describe("Query outputSchema", () => {
expect(schema.fields.length).toBe(3);
});
});
describe("Query orderBy", () => {
let tmpDir: tmp.DirResult;
let table: Table;
beforeEach(async () => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
const db = await connect(tmpDir.name);
// Create table with numeric data for sorting
const schema = new Schema([
new Field("id", new Int64(), true),
new Field("score", new Float32(), true),
new Field("name", new Utf8(), true),
]);
const data = makeArrowTable(
[
{ id: 1n, score: 3.5, name: "charlie" },
{ id: 2n, score: 1.2, name: "alice" },
{ id: 3n, score: 2.8, name: "bob" },
{ id: 4n, score: 0.5, name: "david" },
{ id: 5n, score: 4.1, name: "eve" },
],
{ schema },
);
table = await db.createTable("test", data);
});
afterEach(() => {
tmpDir.removeCallback();
});
it("should sort by single column ascending", async () => {
const results = await table
.query()
.orderBy({ columnName: "score", ascending: true, nullsFirst: false })
.toArray();
expect(results.length).toBe(5);
// Verify ascending order
expect(results[0].score).toBeCloseTo(0.5, 0.001);
expect(results[1].score).toBeCloseTo(1.2, 0.001);
expect(results[2].score).toBeCloseTo(2.8, 0.001);
expect(results[3].score).toBeCloseTo(3.5, 0.001);
expect(results[4].score).toBeCloseTo(4.1, 0.001);
});
it("should sort by single column descending", async () => {
const results = await table
.query()
.orderBy({ columnName: "score", ascending: false, nullsFirst: false })
.toArray();
expect(results.length).toBe(5);
// Verify descending order
expect(results[0].score).toBeCloseTo(4.1, 0.001);
expect(results[1].score).toBeCloseTo(3.5, 0.001);
expect(results[2].score).toBeCloseTo(2.8, 0.001);
expect(results[3].score).toBeCloseTo(1.2, 0.001);
expect(results[4].score).toBeCloseTo(0.5, 0.001);
});
it("should use ascending as default direction", async () => {
const results = await table
.query()
.orderBy({ columnName: "score" })
.toArray();
expect(results.length).toBe(5);
// Verify ascending order (default)
expect(results[0].score).toBeCloseTo(0.5, 0.001);
expect(results[1].score).toBeCloseTo(1.2, 0.001);
expect(results[2].score).toBeCloseTo(2.8, 0.001);
expect(results[3].score).toBeCloseTo(3.5, 0.001);
expect(results[4].score).toBeCloseTo(4.1, 0.001);
});
it("should sort by string column", async () => {
const results = await table
.query()
.orderBy({ columnName: "name" })
.toArray();
expect(results.length).toBe(5);
// Verify alphabetical order
expect(results[0].name).toBe("alice");
expect(results[1].name).toBe("bob");
expect(results[2].name).toBe("charlie");
expect(results[3].name).toBe("david");
expect(results[4].name).toBe("eve");
});
it("should support method chaining with where", async () => {
const results = await table
.query()
.where("score > 2.0")
.orderBy({ columnName: "score" })
.toArray();
expect(results.length).toBe(3);
// Verify filtered and sorted
expect(results[0].score).toBeCloseTo(2.8, 0.001);
expect(results[1].score).toBeCloseTo(3.5, 0.001);
expect(results[2].score).toBeCloseTo(4.1, 0.001);
});
it("should support method chaining with limit", async () => {
const results = await table
.query()
.orderBy({ columnName: "score", ascending: false })
.limit(3)
.toArray();
expect(results.length).toBe(3);
// Verify top 3 in descending order
expect(results[0].score).toBeCloseTo(4.1, 0.001);
expect(results[1].score).toBeCloseTo(3.5, 0.001);
expect(results[2].score).toBeCloseTo(2.8, 0.001);
});
it("should support method chaining with offset", async () => {
const results = await table
.query()
.orderBy({ columnName: "score" })
.offset(2)
.limit(2)
.toArray();
expect(results.length).toBe(2);
// Verify results skip first 2 and take next 2
expect(results[0].score).toBeCloseTo(2.8, 0.001);
expect(results[1].score).toBeCloseTo(3.5, 0.001);
});
it("should support method chaining with select", async () => {
const results = await table
.query()
.orderBy({ columnName: "name" })
.select(["name", "score"])
.toArray();
expect(results.length).toBe(5);
// Verify only selected columns are present
expect(Object.keys(results[0])).toEqual(["name", "score"]);
expect(Object.keys(results[4])).toEqual(["name", "score"]);
// Verify sorted by name
expect(results[0].name).toBe("alice");
expect(results[4].name).toBe("eve");
});
it("should support complex method chaining", async () => {
const results = await table
.query()
.where("score > 1.0")
.orderBy({ columnName: "score", ascending: false })
.limit(3)
.select(["id", "score", "name"])
.toArray();
expect(results.length).toBe(3);
// Verify filtered, sorted, limited, and projected
expect(results[0].score).toBeCloseTo(4.1, 0.001);
expect(results[1].score).toBeCloseTo(3.5, 0.001);
expect(results[2].score).toBeCloseTo(2.8, 0.001);
expect(Object.keys(results[0])).toEqual(["id", "score", "name"]);
});
it("should support multi-column ordering and null placement", async () => {
const schema = new Schema([
new Field("group", new Int64(), true),
new Field("score", new Float32(), true),
new Field("name", new Utf8(), true),
]);
const data = makeArrowTable(
[
{ group: 1n, score: null, name: "z" },
{ group: 1n, score: 1.0, name: "b" },
{ group: 1n, score: 1.0, name: "a" },
{ group: 2n, score: 0.5, name: "c" },
],
{ schema },
);
const nullTable = await (await connect(tmpDir.name)).createTable(
"test_multi_order",
data,
{ mode: "overwrite" },
);
const results = await nullTable
.query()
.orderBy([
{ columnName: "group", ascending: true, nullsFirst: false },
{ columnName: "score", ascending: true, nullsFirst: true },
{ columnName: "name", ascending: true, nullsFirst: false },
])
.toArray();
expect(results.map((r) => [r.group, r.score, r.name])).toEqual([
[1n, null, "z"],
[1n, 1.0, "a"],
[1n, 1.0, "b"],
[2n, 0.5, "c"],
]);
});
});

View File

@@ -617,68 +617,4 @@ describe("remote connection", () => {
);
});
});
describe("renameTable", () => {
async function captureRenameRequest(
call: (db: Connection) => Promise<void>,
): Promise<{ url: string; body: Record<string, unknown> }> {
let captured: { url: string; body: Record<string, unknown> } | undefined;
await withMockDatabase((req, res) => {
let raw = "";
req.on("data", (chunk) => {
raw += chunk;
});
req.on("end", () => {
captured = {
url: req.url ?? "",
body: raw ? JSON.parse(raw) : {},
};
res.writeHead(200, { "Content-Type": "application/json" }).end("");
});
}, call);
if (!captured) {
throw new Error("mock server never saw a request");
}
return captured;
}
it("sends rename request for a table in the root namespace", async () => {
const { url, body } = await captureRenameRequest(async (db) => {
await db.renameTable("table1", "table2");
});
expect(url).toBe("/v1/table/table1/rename/");
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
expect(body).toEqual({ new_table_name: "table2" });
});
it("omits new_namespace when only the current namespace is supplied", async () => {
// Safe-default check: passing namespacePath alone must not send
// `new_namespace`, so the server keeps the table in its current
// namespace instead of silently moving it to root.
const { url, body } = await captureRenameRequest(async (db) => {
await db.renameTable("table1", "table2", {
namespacePath: ["ns1"],
});
});
expect(url).toBe("/v1/table/ns1$table1/rename/");
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
expect(body).toEqual({ new_table_name: "table2" });
});
it("includes new_namespace in the body for a cross-namespace rename", async () => {
const { url, body } = await captureRenameRequest(async (db) => {
await db.renameTable("table1", "table2", {
namespacePath: ["ns1"],
newNamespacePath: ["ns2"],
});
});
expect(url).toBe("/v1/table/ns1$table1/rename/");
expect(body).toEqual({
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
new_table_name: "table2",
// biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
new_namespace: ["ns2"],
});
});
});
});

View File

@@ -1,438 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import {
Field,
Float16,
Int32,
type RecordBatch,
RecordBatchReader,
Schema,
tableToIPC,
} from "apache-arrow";
import { makeArrowTable, makeEmptyTable } from "../lancedb/arrow";
import { Scannable } from "../lancedb/scannable";
function makeTable() {
return makeArrowTable(
[
{ id: 1, name: "a" },
{ id: 2, name: "b" },
{ id: 3, name: "c" },
],
{ vectorColumns: {} },
);
}
async function makeReader(): Promise<RecordBatchReader> {
// `RecordBatchReader.from()` returns an unopened reader; `.schema` is only
// populated after `.open()`. Opening sync readers is synchronous.
const reader = RecordBatchReader.from(tableToIPC(makeTable()));
return reader.open() as RecordBatchReader;
}
describe("Scannable", () => {
describe("fromTable", () => {
test("reflects schema, numRows, and defaults rescannable=true", async () => {
const table = makeTable();
const scannable = await Scannable.fromTable(table);
expect(scannable.schema).toBe(table.schema);
expect(scannable.numRows).toBe(table.numRows);
expect(scannable.rescannable).toBe(true);
});
test("throws when opts.numRows does not match table.numRows", async () => {
await expect(
Scannable.fromTable(makeTable(), { numRows: 42 }),
).rejects.toThrow(/does not match table\.numRows/);
});
test("throws when opts.rescannable is false", async () => {
await expect(
Scannable.fromTable(makeTable(), { rescannable: false }),
).rejects.toThrow(/always rescannable/);
});
});
describe("fromRecordBatchReader", () => {
test("reflects schema and defaults numRows=null, rescannable=false", async () => {
const reader = await makeReader();
const scannable = await Scannable.fromRecordBatchReader(reader);
expect(scannable.schema).toBe(reader.schema);
expect(scannable.numRows).toBeNull();
expect(scannable.rescannable).toBe(false);
});
test("honors numRows override", async () => {
const scannable = await Scannable.fromRecordBatchReader(
await makeReader(),
{ numRows: 3 },
);
expect(scannable.numRows).toBe(3);
expect(scannable.rescannable).toBe(false);
});
test("rescannable: false explicit does not throw", async () => {
const reader = await makeReader();
const scannable = await Scannable.fromRecordBatchReader(reader, {
rescannable: false,
});
expect(scannable.rescannable).toBe(false);
});
test("throws when opts.rescannable is true", async () => {
const reader = await makeReader();
await expect(
Scannable.fromRecordBatchReader(reader, { rescannable: true }),
).rejects.toThrow(/does not accept rescannable/);
});
test("throws when opts.rescannable is true even alongside numRows", async () => {
const reader = await makeReader();
await expect(
Scannable.fromRecordBatchReader(reader, {
numRows: 3,
rescannable: true,
}),
).rejects.toThrow(/does not accept rescannable/);
});
});
describe("fromIterable", () => {
test("accepts a sync iterable of batches", async () => {
const table = makeTable();
const scannable = await Scannable.fromIterable(
table.schema,
table.batches,
);
expect(scannable.schema).toBe(table.schema);
expect(scannable.numRows).toBeNull();
expect(scannable.rescannable).toBe(false);
});
test("accepts an async iterable of batches", async () => {
const table = makeTable();
async function* generator(): AsyncGenerator<RecordBatch> {
for (const batch of table.batches) {
yield batch;
}
}
const scannable = await Scannable.fromIterable(table.schema, generator());
expect(scannable.schema).toBe(table.schema);
expect(scannable.rescannable).toBe(false);
});
describe("rescannable: true detection", () => {
// Replayable inputs: [Symbol.iterator]() / [Symbol.asyncIterator]()
// returns a fresh iterator each call. Must NOT throw.
test("Array passes (fresh ArrayIterator each call)", async () => {
const table = makeTable();
const scannable = await Scannable.fromIterable(
table.schema,
table.batches,
{ rescannable: true },
);
expect(scannable.rescannable).toBe(true);
});
test("Set passes (fresh SetIterator each call)", async () => {
const table = makeTable();
const set = new Set<RecordBatch>(table.batches);
const scannable = await Scannable.fromIterable(table.schema, set, {
rescannable: true,
});
expect(scannable.rescannable).toBe(true);
});
test("custom Iterable returning a fresh iterator passes", async () => {
const table = makeTable();
const replayable: Iterable<RecordBatch> = {
[Symbol.iterator]() {
return table.batches[Symbol.iterator]();
},
};
const scannable = await Scannable.fromIterable(
table.schema,
replayable,
{ rescannable: true },
);
expect(scannable.rescannable).toBe(true);
});
test("object with generator method passes (fresh generator each call)", async () => {
const table = makeTable();
const replayable: Iterable<RecordBatch> = {
*[Symbol.iterator]() {
for (const batch of table.batches) yield batch;
},
};
const scannable = await Scannable.fromIterable(
table.schema,
replayable,
{ rescannable: true },
);
expect(scannable.rescannable).toBe(true);
});
test("empty Array passes (replayable degenerate case)", async () => {
const schema = makeTable().schema;
const scannable = await Scannable.fromIterable(
schema,
[] as RecordBatch[],
{ rescannable: true },
);
expect(scannable.rescannable).toBe(true);
});
// One-shot inputs: [Symbol.iterator]() / [Symbol.asyncIterator]()
// returns the same object, or the input is already-an-iterator.
// Must throw with a /one-shot/ message.
test("sync generator throws", async () => {
const table = makeTable();
function* generator(): Generator<RecordBatch> {
for (const batch of table.batches) yield batch;
}
await expect(
Scannable.fromIterable(table.schema, generator(), {
rescannable: true,
}),
).rejects.toThrow(/one-shot/);
});
test("async generator throws", async () => {
const table = makeTable();
async function* generator(): AsyncGenerator<RecordBatch> {
for (const batch of table.batches) yield batch;
}
await expect(
Scannable.fromIterable(table.schema, generator(), {
rescannable: true,
}),
).rejects.toThrow(/one-shot/);
});
test("empty generator throws (one-shot degenerate case)", async () => {
const schema = makeTable().schema;
function* generator(): Generator<RecordBatch> {
// intentionally empty; yields nothing.
}
await expect(
Scannable.fromIterable(schema, generator(), { rescannable: true }),
).rejects.toThrow(/one-shot/);
});
test("custom self-iterator throws", async () => {
const table = makeTable();
const batches = table.batches;
let i = 0;
const oneShot: Iterable<RecordBatch> & Iterator<RecordBatch> = {
[Symbol.iterator]() {
return this;
},
next() {
if (i >= batches.length) {
return { done: true, value: undefined };
}
return { done: false, value: batches[i++] };
},
};
await expect(
Scannable.fromIterable(table.schema, oneShot, { rescannable: true }),
).rejects.toThrow(/one-shot/);
});
test("Array.values() (IterableIterator) throws", async () => {
const table = makeTable();
const iter = table.batches.values();
await expect(
Scannable.fromIterable(table.schema, iter, { rescannable: true }),
).rejects.toThrow(/one-shot/);
});
test("raw iterator (only `.next`) throws", async () => {
const table = makeTable();
const batches = table.batches;
let i = 0;
const rawIter = {
next(): IteratorResult<RecordBatch> {
if (i >= batches.length) {
return { done: true, value: undefined };
}
return { done: false, value: batches[i++] };
},
};
await expect(
Scannable.fromIterable(
table.schema,
rawIter as unknown as Iterable<RecordBatch>,
{ rescannable: true },
),
).rejects.toThrow(/one-shot/);
});
// Edge: null/undefined must not crash the detection helper. The
// null check belongs to `normalizeIterator` and only fires when a
// scan starts.
test("null input does not crash detection at construction", async () => {
const schema = makeTable().schema;
await expect(
Scannable.fromIterable(
schema,
null as unknown as Iterable<RecordBatch>,
{
rescannable: true,
},
),
).resolves.toBeDefined();
});
test("undefined input does not crash detection at construction", async () => {
const schema = makeTable().schema;
await expect(
Scannable.fromIterable(
schema,
undefined as unknown as Iterable<RecordBatch>,
{ rescannable: true },
),
).resolves.toBeDefined();
});
// Default (rescannable omitted) skips the check entirely, so even
// pathological inputs construct without throwing here.
test("rescannable omitted skips detection entirely (generator passes)", async () => {
const table = makeTable();
function* generator(): Generator<RecordBatch> {
for (const batch of table.batches) yield batch;
}
const scannable = await Scannable.fromIterable(
table.schema,
generator(),
);
expect(scannable.rescannable).toBe(false);
});
test("rescannable: false explicit skips detection entirely (generator passes)", async () => {
const table = makeTable();
function* generator(): Generator<RecordBatch> {
for (const batch of table.batches) yield batch;
}
const scannable = await Scannable.fromIterable(
table.schema,
generator(),
{ rescannable: false },
);
expect(scannable.rescannable).toBe(false);
});
});
});
describe("fromFactory", () => {
test("defaults rescannable=true and does not invoke the factory eagerly", async () => {
const table = makeTable();
const factory = jest.fn(() => table.batches);
const scannable = await Scannable.fromFactory(table.schema, factory);
expect(scannable.schema).toBe(table.schema);
expect(scannable.rescannable).toBe(true);
expect(factory).not.toHaveBeenCalled();
});
test("honors rescannable and numRows overrides", async () => {
const table = makeTable();
const scannable = await Scannable.fromFactory(
table.schema,
() => table.batches,
{ numRows: 7, rescannable: false },
);
expect(scannable.numRows).toBe(7);
expect(scannable.rescannable).toBe(false);
});
});
describe("validation", () => {
test("throws when numRows is negative", async () => {
await expect(
Scannable.fromFactory(makeTable().schema, () => [], { numRows: -1 }),
).rejects.toThrow(/non-negative/);
});
test("throws when numRows is not an integer", async () => {
await expect(
Scannable.fromFactory(makeTable().schema, () => [], { numRows: 3.5 }),
).rejects.toThrow(/integer/);
});
});
describe("native handle", () => {
test("exposes a native handle via inner", async () => {
const scannable = await Scannable.fromTable(makeTable());
expect(scannable.inner).toBeDefined();
expect(typeof scannable.inner).toBe("object");
expect(scannable.inner).not.toBeNull();
});
});
// Schema-variety construction tests. Each asserts that construction
// succeeds against a richer Arrow schema, which transitively exercises
// schema serialization and the Rust-side `ipc_file_to_schema` for types
// beyond flat primitives.
describe("schema variety", () => {
test("accepts an empty table", async () => {
const schema = new Schema([new Field("id", new Int32(), true)]);
const table = makeEmptyTable(schema);
const scannable = await Scannable.fromTable(table);
expect(scannable.numRows).toBe(0);
expect(scannable.schema).toBe(table.schema);
});
test("accepts nested struct and list columns", async () => {
const table = makeArrowTable(
[
{ id: 1, point: { x: 0, y: 0 }, tags: ["a", "b"] },
{ id: 2, point: { x: 1, y: 2 }, tags: ["c"] },
],
{ vectorColumns: {} },
);
const scannable = await Scannable.fromTable(table);
expect(scannable.schema).toBe(table.schema);
expect(scannable.numRows).toBe(2);
});
test("accepts a FixedSizeList (vector) column", async () => {
const table = makeArrowTable(
[
{ id: 1, vec: [1, 2, 3] },
{ id: 2, vec: [4, 5, 6] },
],
{ vectorColumns: { vec: { type: new Float16() } } },
);
const scannable = await Scannable.fromTable(table);
expect(scannable.schema).toBe(table.schema);
expect(scannable.numRows).toBe(2);
});
test("accepts a table with many columns", async () => {
const row: Record<string, number> = {};
for (let i = 0; i < 50; i++) row[`c${i}`] = i;
const table = makeArrowTable([row, row], { vectorColumns: {} });
const scannable = await Scannable.fromTable(table);
expect(scannable.schema.fields.length).toBe(50);
expect(scannable.numRows).toBe(2);
});
});
});

View File

@@ -28,7 +28,6 @@ import {
List,
Schema,
SchemaLike,
Struct,
Type,
Uint8,
Utf8,
@@ -116,48 +115,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
await expect(table.countRows()).resolves.toBe(1);
});
it("should invoke the progress callback", async () => {
const events: import("../lancedb").WriteProgress[] = [];
await table.add([{ id: 1 }, { id: 2 }, { id: 3 }], {
progress: (p) => events.push(p),
});
expect(events.length).toBeGreaterThan(0);
const last = events[events.length - 1];
expect(last.done).toBe(true);
// Earlier callbacks must have done=false.
for (const ev of events.slice(0, -1)) {
expect(ev.done).toBe(false);
}
// outputRows reflects the rows added in this call, not table size.
expect(last.outputRows).toBe(3);
// The input source (an array) reports a row count, so totalRows is set.
expect(last.totalRows).toBe(3);
// outputRows is monotonic.
for (let i = 1; i < events.length; i++) {
expect(events[i].outputRows).toBeGreaterThanOrEqual(
events[i - 1].outputRows,
);
}
});
it("should swallow errors thrown from the progress callback", async () => {
const warn = jest
.spyOn(console, "warn")
.mockImplementation(() => undefined);
try {
const res = await table.add([{ id: 1 }, { id: 2 }], {
progress: () => {
throw new Error("callback bomb");
},
});
expect(res.version).toBeGreaterThan(0);
expect(warn).toHaveBeenCalled();
} finally {
warn.mockRestore();
}
});
it("should let me close the table", async () => {
expect(table.isOpen()).toBe(true);
table.close();
@@ -781,113 +738,6 @@ describe("When creating an index", () => {
expect(indices2.length).toBe(0);
});
it("should create and search a nested vector index", async () => {
const db = await connect(tmpDir.name);
const nestedSchema = new Schema([
new Field("id", new Int32(), true),
new Field(
"image",
new Struct([
new Field(
"embedding",
new FixedSizeList(2, new Field("item", new Float32(), true)),
true,
),
]),
true,
),
]);
const nestedTable = await db.createTable(
"nested_vector",
makeArrowTable(
Array.from({ length: 300 }, (_, id) => ({
id,
image: { embedding: [id, id + 1] },
})),
{ schema: nestedSchema },
),
);
await nestedTable.createIndex("image.embedding", {
name: "image_embedding_idx",
});
const indices = await nestedTable.listIndices();
expect(indices).toContainEqual({
name: "image_embedding_idx",
indexType: "IvfPq",
columns: ["image.embedding"],
});
const explicit = await nestedTable
.query()
.nearestTo([0.0, 1.0])
.column("image.embedding")
.limit(1)
.toArray();
const inferred = await nestedTable
.query()
.nearestTo([0.0, 1.0])
.limit(1)
.toArray();
expect(inferred[0].id).toEqual(explicit[0].id);
});
it("should report multiple nested vector candidates", async () => {
const db = await connect(tmpDir.name);
const nestedSchema = new Schema([
new Field(
"image",
new Struct([
new Field(
"embedding",
new FixedSizeList(2, new Field("item", new Float32(), true)),
true,
),
]),
true,
),
new Field(
"text",
new Struct([
new Field(
"embedding",
new FixedSizeList(2, new Field("item", new Float32(), true)),
true,
),
]),
true,
),
]);
const nestedTable = await db.createTable(
"multiple_nested_vectors",
makeArrowTable(
[
{
image: { embedding: [0.0, 1.0] },
text: { embedding: [2.0, 3.0] },
},
],
{ schema: nestedSchema },
),
);
await expect(
nestedTable.query().nearestTo([0.0, 1.0]).limit(1).toArray(),
).rejects.toThrow(/image\.embedding.*text\.embedding/);
});
it("should report when no default vector column exists", async () => {
const db = await connect(tmpDir.name);
const noVectorTable = await db.createTable(
"no_vector",
makeArrowTable([{ id: 0, label: "cat" }]),
);
await expect(
noVectorTable.query().nearestTo([0.0, 1.0]).limit(1).toArray(),
).rejects.toThrow(/No vector column/);
});
it("should wait for index readiness", async () => {
// Create an index and then wait for it to be ready
await tbl.createIndex("vec");
@@ -2020,25 +1870,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
expect(results.length).toBe(3);
});
test("prewarmData errors on local tables", async () => {
const db = await connect(tmpDir.name);
const data = [
{ text: "alpha", vector: [0.1, 0.2, 0.3] },
{ text: "beta", vector: [0.4, 0.5, 0.6] },
];
const table = await db.createTable("prewarm_data_test", data);
// prewarmData is only supported on remote tables. We verify the call
// is wired through napi and surfaces the expected error for both
// arg shapes (undefined and string[]).
await expect(table.prewarmData()).rejects.toThrow(
"prewarm_data is currently only supported on remote tables",
);
await expect(table.prewarmData(["text"])).rejects.toThrow(
"prewarm_data is currently only supported on remote tables",
);
});
test("full text index on list", async () => {
const db = await connect(tmpDir.name);
const data = [
@@ -2498,224 +2329,3 @@ describe("when creating a table with Float32Array vectors", () => {
expect((fsl.children[0].type as Float32).precision).toBe(1);
});
});
describe("setUnenforcedPrimaryKey", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
it("sets a single-column primary key (string or one-element array)", async () => {
const conn = await connect(tmpDir.name);
const schema = new arrow.Schema([
new arrow.Field("id", new arrow.Int64(), false),
]);
const t1 = await conn.createEmptyTable("t1", schema);
await t1.setUnenforcedPrimaryKey("id");
const t2 = await conn.createEmptyTable("t2", schema);
await t2.setUnenforcedPrimaryKey(["id"]);
});
it("rejects a compound primary key", async () => {
const conn = await connect(tmpDir.name);
const table = await conn.createEmptyTable(
"t",
new arrow.Schema([
new arrow.Field("id", new arrow.Int64(), false),
new arrow.Field("name", new arrow.Utf8(), false),
]),
);
await expect(
table.setUnenforcedPrimaryKey(["id", "name"]),
).rejects.toThrow();
});
it("rejects changing the primary key once set", async () => {
const conn = await connect(tmpDir.name);
const table = await conn.createEmptyTable(
"t",
new arrow.Schema([
new arrow.Field("id", new arrow.Int64(), false),
new arrow.Field("name", new arrow.Utf8(), false),
]),
);
await table.setUnenforcedPrimaryKey("id");
await expect(table.setUnenforcedPrimaryKey("name")).rejects.toThrow();
await expect(table.setUnenforcedPrimaryKey("id")).rejects.toThrow();
});
});
describe("setLsmWriteSpec / unsetLsmWriteSpec", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
async function makeTable(conn: Connection): Promise<Table> {
return await conn.createEmptyTable(
"t",
new arrow.Schema([new arrow.Field("id", new arrow.Int64(), false)]),
);
}
it("installs and removes a bucket spec", async () => {
const conn = await connect(tmpDir.name);
const table = await makeTable(conn);
await table.setUnenforcedPrimaryKey("id");
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 4,
});
await table.unsetLsmWriteSpec();
// A second unset errors — there is no spec left to remove.
await expect(table.unsetLsmWriteSpec()).rejects.toThrow();
// A fresh spec can be installed after unset.
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 8,
});
});
it("installs an unsharded spec", async () => {
const conn = await connect(tmpDir.name);
const table = await makeTable(conn);
await table.setUnenforcedPrimaryKey("id");
await table.setLsmWriteSpec({ specType: "unsharded" });
await table.unsetLsmWriteSpec();
});
it("installs an identity spec", async () => {
const conn = await connect(tmpDir.name);
const table = await makeTable(conn);
await table.setUnenforcedPrimaryKey("id");
await table.setLsmWriteSpec({ specType: "identity", column: "id" });
await table.unsetLsmWriteSpec();
});
it("rejects an invalid spec", async () => {
const conn = await connect(tmpDir.name);
const table = await makeTable(conn);
await table.setUnenforcedPrimaryKey("id");
// num_buckets out of range.
await expect(
table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 0,
}),
).rejects.toThrow();
// Column mismatch.
await expect(
table.setLsmWriteSpec({
specType: "bucket",
column: "missing",
numBuckets: 4,
}),
).rejects.toThrow();
});
});
describe("LSM merge insert", () => {
let tmpDir: tmp.DirResult;
beforeEach(() => {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
});
afterEach(() => tmpDir.removeCallback());
async function bucketTable(conn: Connection): Promise<Table> {
// The primary key column must be non-nullable.
const table = await conn.createEmptyTable(
"t",
new arrow.Schema([
new arrow.Field("id", new arrow.Utf8(), false),
new arrow.Field("value", new arrow.Float64(), true),
]),
);
await table.add([
{ id: "a", value: 1 },
{ id: "b", value: 2 },
]);
await table.setUnenforcedPrimaryKey("id");
// numBuckets = 1: every row routes to the single bucket.
await table.setLsmWriteSpec({
specType: "bucket",
column: "id",
numBuckets: 1,
});
return table;
}
it("routes merge_insert through the shard writer", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenMatchedUpdateAll()
.whenNotMatchedInsertAll()
.execute([
{ id: "c", value: 3 },
{ id: "d", value: 4 },
]);
// LSM path: rows go to the MemWAL, so only numRows is populated.
expect(res.numRows).toBe(2);
expect(res.version).toBe(0);
expect(res.numInsertedRows).toBe(0);
await table.closeLsmWriters();
});
it("falls back to the standard path with useLsmWrite(false)", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenNotMatchedInsertAll()
.useLsmWrite(false)
.execute([
{ id: "b", value: 9 },
{ id: "e", value: 5 },
]);
// Standard path commits: id="e" inserted ("b" already exists).
expect(res.numInsertedRows).toBe(1);
expect(await table.countRows()).toBe(3);
});
it("supports validateSingleShard(false)", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
const res = await table
.mergeInsert("id")
.whenMatchedUpdateAll()
.whenNotMatchedInsertAll()
.validateSingleShard(false)
.execute([{ id: "f", value: 6 }]);
expect(res.numRows).toBe(1);
});
it("rejects a non-upsert merge under an LSM spec", async () => {
const conn = await connect(tmpDir.name);
const table = await bucketTable(conn);
await expect(
table
.mergeInsert("id")
.whenNotMatchedInsertAll()
.execute([{ id: "g", value: 7 }]),
).rejects.toThrow();
});
});

View File

@@ -38,14 +38,5 @@ test("filtering examples", async () => {
// --8<-- [start:sql_search]
await tbl.query().where("id = 10").limit(10).toArray();
// --8<-- [end:sql_search]
// --8<-- [start:orderby_search]
await tbl
.query()
.where("id > 10")
.orderBy({ columnName: "id", ascending: false })
.limit(5)
.toArray();
// --8<-- [end:orderby_search]
});
});

4810
nodejs/examples/package-lock.json generated Normal file

File diff suppressed because it is too large Load Diff

View File

@@ -11,17 +11,16 @@
"test": "node --experimental-vm-modules node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose",
"lint": "biome check *.ts && biome format *.ts",
"lint-ci": "biome ci .",
"lint-fix": "biome check --write *.ts && pnpm format",
"lint-fix": "biome check --write *.ts && npm run format",
"format": "biome format --write *.ts"
},
"author": "Lance Devs",
"license": "Apache-2.0",
"packageManager": "pnpm@11.1.1",
"dependencies": {
"@huggingface/transformers": "3.0.2",
"@huggingface/transformers": "^3.0.2",
"@lancedb/lancedb": "file:../dist",
"openai": "4.29.2",
"sharp": "0.33.5"
"openai": "^4.29.2",
"sharp": "^0.33.5"
},
"devDependencies": {
"@biomejs/biome": "^1.7.3",

File diff suppressed because it is too large Load Diff

View File

@@ -1,13 +0,0 @@
# Block resolution of versions less than 24h old (Shai-Hulud window).
# This is the pnpm 11 default but pinned here so it's visible to
# reviewers and survives a future pnpm major flipping the default.
minimumReleaseAge: 1440
# Fail install if a transitive dep tries to run an unapproved script.
strictDepBuilds: true
allowBuilds:
'@biomejs/biome': true
onnxruntime-node: true
protobufjs: true
sharp: true

View File

@@ -1291,18 +1291,6 @@ export async function fromRecordBatchToBuffer(
return Buffer.from(await writer.toUint8Array());
}
/**
* Create a buffer containing a single record batch using the Arrow IPC Stream
* serialization. Each call produces a self-contained Stream message (schema +
* batch + EOS) suitable for incremental decode by `arrow_ipc::reader::StreamReader`.
*/
export async function fromRecordBatchToStreamBuffer(
batch: RecordBatch,
): Promise<Buffer> {
const writer = RecordBatchStreamWriter.writeAll([batch]);
return Buffer.from(await writer.toUint8Array());
}
/**
* Serialize an Arrow Table into a buffer using the Arrow IPC Stream serialization
*

View File

@@ -16,18 +16,6 @@ import {
} from "./arrow";
import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
import { Connection as LanceDbConnection } from "./native";
import type {
CreateNamespaceResponse,
DescribeNamespaceResponse,
DropNamespaceResponse,
ListNamespacesResponse,
} from "./native";
export type {
CreateNamespaceResponse,
DescribeNamespaceResponse,
DropNamespaceResponse,
ListNamespacesResponse,
};
import { sanitizeTable } from "./sanitize";
import { LocalTable, Table } from "./table";
@@ -122,41 +110,6 @@ export interface TableNamesOptions {
/** An optional limit to the number of results to return. */
limit?: number;
}
export interface ListNamespacesOptions {
/** Token from a previous response for pagination. */
pageToken?: string;
/** An optional limit to the number of results to return. */
limit?: number;
}
export interface CreateNamespaceOptions {
/** Creation mode. */
mode?: "create" | "exist_ok" | "overwrite";
/** Properties to set on the new namespace. */
properties?: Record<string, string>;
}
export interface DropNamespaceOptions {
/** Whether to skip if the namespace doesn't exist, or fail. */
mode?: "skip" | "fail";
/** Refuse to drop if non-empty (restrict) or drop recursively (cascade). */
behavior?: "restrict" | "cascade";
}
export interface RenameTableOptions {
/**
* The namespace path of the table being renamed. Defaults to the root
* namespace (`[]`) when omitted.
*/
namespacePath?: string[];
/**
* The namespace path to move the table to as part of the rename. When
* omitted the table stays in `namespacePath`.
*/
newNamespacePath?: string[];
}
/**
* A LanceDB Connection that allows you to open tables and create new ones.
*
@@ -315,69 +268,6 @@ export abstract class Connection {
*/
abstract dropAllTables(namespacePath?: string[]): Promise<void>;
/**
* Describe a namespace, returning its properties.
*
* @param {string[]} namespacePath - The namespace path to describe, in
* parent → child order, e.g. `["analytics", "sales"]`.
* @returns {Promise<DescribeNamespaceResponse>} The namespace's properties
* (may be undefined if the namespace has none).
*/
abstract describeNamespace(
namespacePath: string[],
): Promise<DescribeNamespaceResponse>;
/**
* List the immediate child namespaces under the given parent.
*
* Results may be paginated. To retrieve subsequent pages, pass the
* `pageToken` returned by a previous call.
*
* @param {string[]} namespacePath - The parent namespace path. Defaults
* to the root namespace if omitted.
* @param {Partial<ListNamespacesOptions>} options - Pagination options
* (`pageToken`, `limit`).
* @returns {Promise<ListNamespacesResponse>} Child namespace names and
* an optional token for fetching the next page.
*/
abstract listNamespaces(
namespacePath?: string[],
options?: Partial<ListNamespacesOptions>,
): Promise<ListNamespacesResponse>;
/**
* Create a new namespace at the given path.
*
* @param {string[]} namespacePath - The namespace path to create.
* @param {Partial<CreateNamespaceOptions>} options - Creation `mode`
* ("create" | "exist_ok" | "overwrite") and optional `properties`
* to attach to the namespace.
* @returns {Promise<CreateNamespaceResponse>} The properties of the
* created namespace and an optional transaction id.
*/
abstract createNamespace(
namespacePath: string[],
options?: Partial<CreateNamespaceOptions>,
): Promise<CreateNamespaceResponse>;
/**
* Drop a namespace.
*
* Use `behavior: "cascade"` to also drop everything contained in the
* namespace (sub-namespaces and tables). The default `"restrict"`
* behavior refuses to drop a non-empty namespace.
*
* @param {string[]} namespacePath - The namespace path to drop.
* @param {Partial<DropNamespaceOptions>} options - `mode` ("skip" | "fail"
* for missing-namespace handling) and `behavior` ("restrict" | "cascade").
* @returns {Promise<DropNamespaceResponse>} Any properties returned by
* the server and an optional transaction id.
*/
abstract dropNamespace(
namespacePath: string[],
options?: Partial<DropNamespaceOptions>,
): Promise<DropNamespaceResponse>;
/**
* Clone a table from a source table.
*
@@ -404,24 +294,6 @@ export abstract class Connection {
isShallow?: boolean;
},
): Promise<Table>;
/**
* Rename a table.
*
* Currently only supported by LanceDB Cloud. Local OSS connections and
* namespace-backed connections (via {@link connectNamespace}) reject with
* a "not supported" error.
*
* @param {string} currentName - The current name of the table.
* @param {string} newName - The new name for the table.
* @param {RenameTableOptions} options - Optional namespace paths. When
* `newNamespacePath` is omitted the table stays in `namespacePath`.
*/
abstract renameTable(
currentName: string,
newName: string,
options?: RenameTableOptions,
): Promise<void>;
}
/** @hideconstructor */
@@ -643,58 +515,6 @@ export class LocalConnection extends Connection {
async dropAllTables(namespacePath?: string[]): Promise<void> {
return this.inner.dropAllTables(namespacePath ?? []);
}
describeNamespace(
namespacePath: string[],
): Promise<DescribeNamespaceResponse> {
return this.inner.describeNamespace(namespacePath);
}
listNamespaces(
namespacePath?: string[],
options?: Partial<ListNamespacesOptions>,
): Promise<ListNamespacesResponse> {
return this.inner.listNamespaces(
namespacePath ?? [],
options?.pageToken,
options?.limit,
);
}
createNamespace(
namespacePath: string[],
options?: Partial<CreateNamespaceOptions>,
): Promise<CreateNamespaceResponse> {
return this.inner.createNamespace(
namespacePath,
options?.mode,
options?.properties,
);
}
dropNamespace(
namespacePath: string[],
options?: Partial<DropNamespaceOptions>,
): Promise<DropNamespaceResponse> {
return this.inner.dropNamespace(
namespacePath,
options?.mode,
options?.behavior,
);
}
async renameTable(
currentName: string,
newName: string,
options?: RenameTableOptions,
): Promise<void> {
return this.inner.renameTable(
currentName,
newName,
options?.namespacePath ?? [],
options?.newNamespacePath,
);
}
}
/**

View File

@@ -8,7 +8,6 @@ import {
} from "./connection";
import {
ConnectNamespaceOptions,
ConnectionOptions,
Connection as LanceDbConnection,
JsHeaderProvider as NativeJsHeaderProvider,
@@ -23,7 +22,6 @@ export { JsHeaderProvider as NativeJsHeaderProvider } from "./native.js";
export {
AddColumnsSql,
ConnectionOptions,
ConnectNamespaceOptions,
IndexStatistics,
IndexConfig,
ClientConfig,
@@ -64,14 +62,6 @@ export {
CreateTableOptions,
TableNamesOptions,
OpenTableOptions,
ListNamespacesOptions,
CreateNamespaceOptions,
DropNamespaceOptions,
ListNamespacesResponse,
CreateNamespaceResponse,
DropNamespaceResponse,
DescribeNamespaceResponse,
RenameTableOptions,
} from "./connection";
export { Session } from "./native.js";
@@ -83,7 +73,6 @@ export {
VectorQuery,
TakeQuery,
QueryExecutionOptions,
ColumnOrdering,
FullTextSearchOptions,
RecordBatchIterator,
FullTextQuery,
@@ -114,8 +103,6 @@ export {
UpdateOptions,
OptimizeOptions,
Version,
WriteProgress,
LsmWriteSpec,
ColumnAlteration,
} from "./table";
@@ -130,7 +117,6 @@ export { MergeInsertBuilder, WriteExecutionOptions } from "./merge";
export * as embedding from "./embedding";
export { permutationBuilder, PermutationBuilder } from "./permutation";
export { Scannable, ScannableOptions } from "./scannable";
export * as rerankers from "./rerankers";
export {
SchemaLike,
@@ -307,197 +293,3 @@ export async function connect(
);
return new LocalConnection(nativeConn);
}
/**
* Configuration for the built-in directory namespace (`"dir"`).
*
* The directory namespace stores tables under a single root path (local
* filesystem or object storage URI). See
* {@link https://docs.lancedb.com/namespaces} for the documented surface;
* less-common knobs live under {@link DirNamespaceConfig.extraProperties}.
*/
export interface DirNamespaceConfig {
/** Root path or URI containing the LanceDB tables. */
root: string;
/**
* Whether to maintain a namespace manifest at the root. Required for
* child namespaces. Defaults to true on the impl side.
*/
manifestEnabled?: boolean;
/**
* Additional raw properties passed verbatim to the namespace
* implementation (e.g. `storage.*`, `credential_vendor.*`). Typed
* fields above take precedence on key collision.
*/
extraProperties?: Record<string, string>;
}
/**
* Configuration for the built-in REST namespace (`"rest"`).
*
* The REST namespace talks to a remote catalog server over HTTP. See
* {@link https://docs.lancedb.com/namespaces} for the documented surface;
* less-common knobs (TLS, metrics) live under
* {@link RestNamespaceConfig.extraProperties}.
*/
export interface RestNamespaceConfig {
/** Catalog endpoint URL. */
uri: string;
/**
* HTTP headers forwarded with each request. Keys are passed through
* as-is (e.g. `"x-api-key"`, `"Authorization"`).
*/
headers?: Record<string, string>;
/**
* Additional raw properties passed verbatim to the namespace
* implementation (e.g. `tls.*`, `ops_metrics_enabled`, `delimiter`).
* Typed fields above take precedence on key collision.
*/
extraProperties?: Record<string, string>;
}
function dirConfigToProperties(
config: DirNamespaceConfig,
): Record<string, string> {
// Spread the whole input so that unknown keys (e.g. a raw `manifest_enabled`
// passed via the dynamic-impl path) flow through instead of being dropped.
// Typed transformations layer on top.
const { manifestEnabled, extraProperties, ...rest } = config;
const properties: Record<string, string> = {
...(extraProperties ?? {}),
...(rest as Record<string, string>),
};
if (manifestEnabled !== undefined) {
properties.manifest_enabled = String(manifestEnabled);
}
return properties;
}
function restConfigToProperties(
config: RestNamespaceConfig,
): Record<string, string> {
const { headers, extraProperties, ...rest } = config;
const properties: Record<string, string> = {
...(extraProperties ?? {}),
...(rest as Record<string, string>),
};
if (headers) {
for (const [name, value] of Object.entries(headers)) {
properties[`headers.${name}`] = value;
}
}
return properties;
}
/**
* Connect to a LanceDB database through a namespace.
*
* Unlike {@link connect}, which routes by URI scheme (local path vs.
* `db://` cloud), `connectNamespace` always returns a namespace-backed
* connection. The `implName` selects the namespace implementation:
*
* - `"dir"` — directory namespace, configured with {@link DirNamespaceConfig}.
* - `"rest"` — remote REST catalog, configured with {@link RestNamespaceConfig}.
* - Any other string — full module path for a custom implementation,
* configured with a free-form string-keyed `properties` map.
*
* @example Typed dir namespace
* ```ts
* const db = await connectNamespace("dir", { root: "/path/to/db" });
* await db.createTable("users", [{ id: 1 }]);
* ```
*
* @example Typed REST namespace with auth headers
* ```ts
* const db = await connectNamespace("rest", {
* uri: "https://catalog.example.com",
* headers: { "x-api-key": process.env.CATALOG_KEY ?? "" },
* });
* ```
*
* @example Custom implementation with raw properties
* ```ts
* const db = await connectNamespace("my.custom.Namespace", {
* endpoint: "...",
* });
* ```
*/
export function connectNamespace(
implName: "dir",
config: DirNamespaceConfig,
options?: Partial<ConnectNamespaceOptions>,
): Promise<Connection>;
/**
* Connect through the built-in REST namespace.
*
* Configured with {@link RestNamespaceConfig}. See the function-level
* documentation above for the full surface, examples, and how this
* relates to {@link connect}.
*
* @example
* ```ts
* const db = await connectNamespace("rest", {
* uri: "https://catalog.example.com",
* headers: { "x-api-key": process.env.CATALOG_KEY ?? "" },
* });
* ```
*/
export function connectNamespace(
implName: "rest",
config: RestNamespaceConfig,
options?: Partial<ConnectNamespaceOptions>,
): Promise<Connection>;
/**
* Connect through a custom namespace implementation by full module path,
* configured with a free-form string-keyed `properties` map. Use the
* typed overloads above for the built-in `"dir"` and `"rest"` impls.
*
* See the function-level documentation above for examples and how this
* relates to {@link connect}.
*
* @example
* ```ts
* const db = await connectNamespace("my.custom.Namespace", {
* endpoint: "...",
* });
* ```
*/
export function connectNamespace(
implName: string,
properties: Record<string, string>,
options?: Partial<ConnectNamespaceOptions>,
): Promise<Connection>;
export async function connectNamespace(
implName: string,
configOrProperties:
| DirNamespaceConfig
| RestNamespaceConfig
| Record<string, string>,
options?: Partial<ConnectNamespaceOptions>,
): Promise<Connection> {
let properties: Record<string, string>;
if (implName === "dir") {
properties = dirConfigToProperties(
configOrProperties as DirNamespaceConfig,
);
} else if (implName === "rest") {
properties = restConfigToProperties(
configOrProperties as RestNamespaceConfig,
);
} else {
properties = configOrProperties as Record<string, string>;
}
const finalOptions: ConnectNamespaceOptions = (options ??
{}) as ConnectNamespaceOptions;
finalOptions.storageOptions = cleanseStorageOptions(
finalOptions.storageOptions,
);
const nativeConn = await LanceDbConnection.newWithNamespace(
implName,
properties,
finalOptions,
);
return new LocalConnection(nativeConn);
}

View File

@@ -87,41 +87,6 @@ export class MergeInsertBuilder {
this.#schema,
);
}
/**
* Controls whether the merge uses the MemWAL LSM write path.
*
* By default (unset), a `mergeInsert` on a table with an LSM write spec is
* routed through Lance's MemWAL shard writer, and a table without one uses
* the standard path. Pass `false` to force the standard path even when a
* spec is set. Pass `true` to require a spec — `mergeInsert` rejects if none
* is installed.
*
* @param useLsmWrite - Whether to use the LSM write path.
*/
useLsmWrite(useLsmWrite: boolean): MergeInsertBuilder {
return new MergeInsertBuilder(
this.#native.useLsmWrite(useLsmWrite),
this.#schema,
);
}
/**
* Controls how an LSM merge checks that its input targets a single shard.
*
* When a table has an LSM write spec, every row in a `mergeInsert` call must
* route to the same shard. When `true` (the default), every row is inspected
* to verify this. When `false`, only the first row is inspected and the
* shard it routes to is used for the whole input — a faster path for callers
* that have already pre-sharded their input. Has no effect on tables without
* an LSM write spec.
*
* @param validateSingleShard - Whether to check every row routes to one shard. Defaults to `true`.
*/
validateSingleShard(validateSingleShard: boolean): MergeInsertBuilder {
return new MergeInsertBuilder(
this.#native.validateSingleShard(validateSingleShard),
this.#schema,
);
}
/**
* Executes the merge insert operation
*

View File

@@ -79,12 +79,6 @@ export interface QueryExecutionOptions {
timeoutMs?: number;
}
export interface ColumnOrdering {
columnName: string;
ascending?: boolean;
nullsFirst?: boolean;
}
/**
* Options that control the behavior of a full text search
*/
@@ -423,21 +417,6 @@ export class StandardQueryBase<
return this;
}
/**
* Sort the results by the specified column(s).
* @returns This query builder.
*/
orderBy(ordering: ColumnOrdering | ColumnOrdering[]): this {
const orderings = Array.isArray(ordering) ? ordering : [ordering];
const normalized = orderings.map((o) => ({
columnName: o.columnName,
ascending: o.ascending ?? true,
nullsFirst: o.nullsFirst ?? false,
}));
this.doCall((inner) => inner.orderBy(normalized));
return this;
}
/**
* Skip searching un-indexed data. This can make search faster, but will miss
* any data that is not yet indexed.

View File

@@ -1,274 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import {
Table as ArrowTable,
RecordBatch,
RecordBatchReader,
Schema,
} from "apache-arrow";
import {
fromRecordBatchToStreamBuffer,
fromTableToBuffer,
makeEmptyTable,
} from "./arrow";
import { NapiScannable } from "./native.js";
export interface ScannableOptions {
/** Hint about the number of rows. Not validated against the stream. */
numRows?: number;
/**
* Whether the source can be scanned more than once. Defaults to `true` for
* `fromTable` / `fromFactory` and `false` for `fromIterable` /
* `fromRecordBatchReader`.
*/
rescannable?: boolean;
}
/**
* A data source that can be scanned as a stream of Arrow `RecordBatch`es.
*
* `Scannable` wraps the schema + optional row count + rescannable flag and
* a callback that yields batches one at a time. It is passed to consumers
* (e.g. `Table.add`, `createTable`, `mergeInsert` — follow-up work) that
* need to pull data without materializing the full dataset in JS memory.
*
* Batches cross the JS↔Rust boundary as Arrow IPC Stream messages; a fresh
* writer serializes each batch, and the Rust side decodes it with
* `arrow_ipc::reader::StreamReader`. One batch is in flight at a time.
*/
export class Scannable {
readonly schema: Schema;
readonly numRows: number | null;
readonly rescannable: boolean;
/** @hidden */
private readonly native: NapiScannable;
private constructor(
native: NapiScannable,
schema: Schema,
numRows: number | null,
rescannable: boolean,
) {
this.native = native;
this.schema = schema;
this.numRows = numRows;
this.rescannable = rescannable;
}
/** @hidden Access the native handle for passing through to Rust consumers. */
get inner(): NapiScannable {
return this.native;
}
/**
* Build a Scannable from an explicit schema and a factory that returns a
* fresh batch iterator on each call.
*
* The factory is invoked once per scan. Each iterator yields
* `RecordBatch`es matching the declared schema. Use this when you need
* direct control over the pull loop — for example, to wrap a streaming
* source whose batches are produced lazily.
*
* @param schema - The Arrow schema of the produced batches.
* @param factory - Called at the start of each scan to produce a batch
* iterator. Must be idempotent when `rescannable` is true.
* @param opts - Optional hints. `rescannable` defaults to `true`; set to
* `false` if calling `factory()` twice would not reproduce the same data.
*/
static async fromFactory(
schema: Schema,
factory: () =>
| AsyncIterable<RecordBatch>
| Iterable<RecordBatch>
| AsyncIterator<RecordBatch>
| Iterator<RecordBatch>,
opts: ScannableOptions = {},
): Promise<Scannable> {
const numRows = opts.numRows ?? null;
if (numRows != null && !Number.isInteger(numRows)) {
throw new TypeError("numRows must be an integer");
}
const rescannable = opts.rescannable ?? true;
let iter: AsyncIterator<RecordBatch> | Iterator<RecordBatch> | null = null;
const getNextBatch = async (isStart: boolean): Promise<Buffer | null> => {
// `isStart` is true on the first pull of every new scan_as_stream.
// Drop any cached iterator so factory() is re-invoked for the next scan
if (isStart) {
iter = null;
}
if (iter === null) {
iter = normalizeIterator(factory());
}
const result = await iter.next();
if (result.done) {
iter = null;
return null;
}
return fromRecordBatchToStreamBuffer(result.value);
};
const schemaBuf = await fromTableToBuffer(makeEmptyTable(schema));
const native = new NapiScannable(
schemaBuf,
numRows,
rescannable,
getNextBatch,
);
return new Scannable(native, schema, numRows, rescannable);
}
/**
* Build a Scannable from an in-memory Arrow `Table`. Always rescannable;
* the table's batches are replayed on each scan.
*
* The table's row count is authoritative: `opts.numRows` must either be
* omitted or equal to `table.numRows`. `opts.rescannable` of `false` is
* rejected because in-memory Tables are always rescannable.
*/
static async fromTable(
table: ArrowTable,
opts: ScannableOptions = {},
): Promise<Scannable> {
if (opts.numRows != null && opts.numRows !== table.numRows) {
throw new TypeError(
`opts.numRows (${opts.numRows}) does not match table.numRows (${table.numRows}). ` +
`The table's row count is authoritative; omit numRows or pass the matching value.`,
);
}
if (opts.rescannable === false) {
throw new TypeError(
`fromTable does not accept rescannable: false. ` +
`In-memory Arrow Tables are always rescannable; omit the option or pass true.`,
);
}
return Scannable.fromFactory(table.schema, () => table.batches, {
numRows: table.numRows,
rescannable: true,
});
}
/**
* Build a Scannable from an iterable of `RecordBatch`es. `rescannable`
* defaults to `false`. Pass an explicit schema so the consumer can
* validate before any batch is pulled.
*
* `opts.rescannable: true` is honest for replayable iterables (Arrays,
* Sets, or custom iterables whose `[Symbol.iterator]()` returns a fresh
* iterator each call). It is rejected for one-shot iterables (generators,
* async generators, or already-an-iterator inputs) because their
* `[Symbol.iterator]()` returns the same exhausted object on the second
* scan. For replayable sources outside this shape, use
* `fromFactory(schema, () => createIter(), { rescannable: true })`.
*
* Note: when `opts.rescannable` is `true`, the constructor calls
* `[Symbol.iterator]()` once on the input to perform the structural check.
*/
static async fromIterable(
schema: Schema,
iter: AsyncIterable<RecordBatch> | Iterable<RecordBatch>,
opts: ScannableOptions = {},
): Promise<Scannable> {
if (opts.rescannable === true && isOneShotIterable(iter)) {
throw new TypeError(
`fromIterable: rescannable: true is not honest for one-shot iterables ` +
`(generators, async generators, or iterators where [Symbol.iterator]() ` +
`returns the same object). The source would be exhausted after the first scan. ` +
`Use fromFactory(schema, () => createIter(), { rescannable: true }) for sources ` +
`where each call mints a fresh iterator.`,
);
}
return Scannable.fromFactory(schema, () => iter, {
numRows: opts.numRows,
rescannable: opts.rescannable ?? false,
});
}
/**
* Build a Scannable from an Arrow `RecordBatchReader`. A reader can only
* be consumed once; `rescannable` defaults to `false`.
*
* The reader must already be opened (via `.open()`) so its `.schema` is
* populated. `RecordBatchReader.from(...)` returns an unopened reader.
*
* `opts.rescannable: true` is rejected because `RecordBatchReader` is a
* self-iterator (its `[Symbol.iterator]()` returns itself), and this
* constructor does not call `reader.reset()` between scans, so a second
* scan would always see an exhausted reader. For genuinely replayable
* sources, use
* `fromFactory(schema, () => openReader(), { rescannable: true })`,
* which mints a fresh reader on each scan.
*/
static async fromRecordBatchReader(
reader: RecordBatchReader,
opts: ScannableOptions = {},
): Promise<Scannable> {
if (opts.rescannable === true) {
throw new TypeError(
`fromRecordBatchReader does not accept rescannable: true. ` +
`RecordBatchReader is a self-iterator (its [Symbol.iterator]() ` +
`returns itself) and would be exhausted after the first scan. ` +
`Use fromFactory(schema, () => openReader(), { rescannable: true }) ` +
`for sources where each call mints a fresh reader.`,
);
}
return Scannable.fromFactory(reader.schema, () => reader, {
numRows: opts.numRows,
rescannable: false,
});
}
}
function normalizeIterator<T>(
source: AsyncIterable<T> | Iterable<T> | AsyncIterator<T> | Iterator<T>,
): AsyncIterator<T> | Iterator<T> {
if (source == null) {
throw new TypeError("Scannable factory returned null/undefined");
}
if (
typeof (source as AsyncIterable<T>)[Symbol.asyncIterator] === "function"
) {
return (source as AsyncIterable<T>)[Symbol.asyncIterator]();
}
if (typeof (source as Iterable<T>)[Symbol.iterator] === "function") {
return (source as Iterable<T>)[Symbol.iterator]();
}
// Already an iterator (has `.next`).
if (typeof (source as Iterator<T>).next === "function") {
return source as Iterator<T>;
}
throw new TypeError("Scannable factory returned a non-iterable value");
}
// A "self-iterator" returns the same object from `[Symbol.iterator]()` /
// `[Symbol.asyncIterator]()`. Generators behave this way, so they exhaust
// after one pass. Replayable iterables (Array, Set, custom) return a fresh
// iterator each call. Detection mirrors `normalizeIterator`'s ordering so
// classification matches scan-time behavior.
function isOneShotIterable(
source: AsyncIterable<unknown> | Iterable<unknown>,
): boolean {
// null/undefined are not one-shot in any meaningful sense; let
// `normalizeIterator` raise the actual error at scan time.
if (source == null) return false;
const ref = source as unknown;
if (
typeof (source as AsyncIterable<unknown>)[Symbol.asyncIterator] ===
"function"
) {
const it = (source as AsyncIterable<unknown>)[
Symbol.asyncIterator
]() as unknown;
return it === ref;
}
if (typeof (source as Iterable<unknown>)[Symbol.iterator] === "function") {
const it = (source as Iterable<unknown>)[Symbol.iterator]() as unknown;
return it === ref;
}
// Already-an-iterator (has `.next` but no `Symbol.iterator`) is by
// definition one-shot.
if (typeof (source as { next?: unknown }).next === "function") return true;
return false;
}

View File

@@ -46,33 +46,6 @@ import { sanitizeType } from "./sanitize";
import { IntoSql, toSQL } from "./util";
export { IndexConfig } from "./native";
/**
* Progress snapshot for a write operation, delivered to the `progress`
* callback passed to {@link Table.add}.
*/
export interface WriteProgress {
/** Number of rows written so far. */
outputRows: number;
/** Number of bytes written so far. */
outputBytes: number;
/**
* Total rows expected, when the input source reports it.
*
* Always set on the final callback (the one with `done: true`), falling
* back to the actual number of rows written when the source could not
* report a row count up front.
*/
totalRows?: number;
/** Wall-clock seconds since the write started. */
elapsedSeconds: number;
/** Number of parallel write tasks currently in flight. */
activeTasks: number;
/** Total number of parallel write tasks (the write parallelism). */
totalTasks: number;
/** `true` for the final callback; `false` otherwise. */
done: boolean;
}
/**
* Options for adding data to a table.
*/
@@ -83,28 +56,6 @@ export interface AddDataOptions {
* If "overwrite" then the new data will replace the existing data in the table.
*/
mode: "append" | "overwrite";
/**
* Optional callback invoked periodically with write progress.
*
* The callback is fired once per batch written and once more with
* `done: true` when the write completes. Calls are dispatched
* asynchronously to the JS event loop and never block the write — a slow
* callback will queue events rather than back-pressure the writer.
*
* Errors thrown from the callback are logged with `console.warn` and
* swallowed — they do not abort the write.
*
* @example
* ```ts
* await table.add(data, {
* progress: (p) => {
* console.log(`${p.outputRows}/${p.totalRows ?? "?"} rows`);
* },
* });
* ```
*/
progress: (progress: WriteProgress) => void;
}
export interface UpdateOptions {
@@ -155,30 +106,6 @@ export interface Version {
metadata: Record<string, string>;
}
/**
* Specification selecting Lance's MemWAL LSM-style write path for
* `mergeInsert`.
*
* `specType` is `"bucket"`, `"identity"`, or `"unsharded"`. For `"bucket"`,
* `column` and `numBuckets` are required; for `"identity"`, `column` is
* required and must be a deterministic function of the unenforced primary
* key (every row with a given primary key must always produce the same
* `column` value, or upserts of that key can land in different shards and a
* stale version can win).
*/
export interface LsmWriteSpec {
/** One of `"bucket"`, `"identity"`, or `"unsharded"`. */
specType: "bucket" | "identity" | "unsharded";
/** Bucket and identity variants: the sharding column. */
column?: string;
/** Bucket variant: the number of buckets, in `[1, 1024]`. */
numBuckets?: number;
/** Names of indexes the MemWAL should keep up to date during writes. */
maintainedIndexes?: string[];
/** Default `ShardWriter` configuration recorded in the MemWAL index. */
writerConfigDefaults?: Record<string, string>;
}
/**
* A Table is a collection of Records in a LanceDB Database.
*
@@ -358,25 +285,6 @@ export abstract class Table {
*/
abstract prewarmIndex(name: string): Promise<void>;
/**
* Prewarm one or more columns of data in the table.
*
* @param columns The columns to prewarm. If undefined, all columns are prewarmed.
*
* This will load the column data into the page cache so that future queries that
* read those columns avoid the initial cold-start latency. This call initiates
* prewarming and returns once the request is accepted; the warming itself may
* continue in the background. Calling it on already-prewarmed columns is a
* no-op on the server.
*
* Prewarming is generally useful for columns used in filters or projections.
* Large columns (e.g. high-dimensional vectors or binary data) may not be
* practical to prewarm.
*
* This feature is currently only supported on remote tables.
*/
abstract prewarmData(columns?: string[]): Promise<void>;
/**
* Waits for asynchronous indexing to complete on the table.
*
@@ -522,64 +430,6 @@ export abstract class Table {
* containing the new version number of the table after dropping the columns.
*/
abstract dropColumns(columnNames: string[]): Promise<DropColumnsResult>;
/**
* Set the unenforced primary key for this table to a single column.
*
* "Unenforced" means LanceDB does not check uniqueness on writes; the
* column is recorded in the schema as the primary key for use by features
* such as `merge_insert`. Only single-column primary keys are supported,
* and the key cannot be changed once set.
* @param {string | string[]} columns The primary key column. A one-element
* array is also accepted; passing more than one column is rejected.
* @returns {Promise<void>}
*/
abstract setUnenforcedPrimaryKey(columns: string | string[]): Promise<void>;
/**
* Install an {@link LsmWriteSpec} on this table, selecting Lance's MemWAL
* LSM-style write path for future `mergeInsert` calls.
*
* `LsmWriteSpec` chooses one of three sharding strategies via `specType`:
*
* - `"bucket"` — hash-bucket writes by the single-column unenforced primary
* key (`column` and `numBuckets` required).
* - `"identity"` — shard by the raw value of a scalar `column`.
* - `"unsharded"` — route every write to a single shard.
*
* All variants require the table to have an unenforced primary key
* ({@link Table#setUnenforcedPrimaryKey}); bucket sharding additionally
* requires it to be the single column being bucketed.
* @param {LsmWriteSpec} spec The sharding spec to install.
* @returns {Promise<void>}
* @example
* ```ts
* await table.setUnenforcedPrimaryKey("id");
* await table.setLsmWriteSpec({
* specType: "bucket",
* column: "id",
* numBuckets: 16,
* maintainedIndexes: ["id_idx"],
* });
* ```
*/
abstract setLsmWriteSpec(spec: LsmWriteSpec): Promise<void>;
/**
* Remove the {@link LsmWriteSpec} from this table, reverting to the standard
* `mergeInsert` write path.
*
* Errors if no spec is currently set.
* @returns {Promise<void>}
*/
abstract unsetLsmWriteSpec(): Promise<void>;
/**
* Drain and close any cached MemWAL shard writers held for this table.
*
* When an {@link LsmWriteSpec} is installed, `mergeInsert` opens MemWAL
* shard writers and caches them for reuse across calls. This closes them,
* flushing pending data; writers reopen lazily on the next `mergeInsert`.
* It is a no-op when no writers are cached.
* @returns {Promise<void>}
*/
abstract closeLsmWriters(): Promise<void>;
/** Retrieve the version of the table */
abstract version(): Promise<number>;
@@ -767,20 +617,7 @@ export class LocalTable extends Table {
const schema = await this.schema();
const buffer = await fromDataToBuffer(data, undefined, schema);
// Wrap the user callback so a thrown error doesn't surface as an
// unhandled exception (the callback fires from a napi threadsafe
// function — exceptions there crash the process).
const userProgress = options?.progress;
const progress = userProgress
? (p: WriteProgress) => {
try {
userProgress(p);
} catch (e) {
console.warn("Table.add progress callback threw:", e);
}
}
: undefined;
return await this.inner.add(buffer, mode, progress);
return await this.inner.add(buffer, mode);
}
async update(
@@ -873,10 +710,6 @@ export class LocalTable extends Table {
await this.inner.prewarmIndex(name);
}
async prewarmData(columns?: string[]): Promise<void> {
await this.inner.prewarmData(columns);
}
async waitForIndex(
indexNames: string[],
timeoutSeconds: number,
@@ -1041,23 +874,6 @@ export class LocalTable extends Table {
return await this.inner.dropColumns(columnNames);
}
async setUnenforcedPrimaryKey(columns: string | string[]): Promise<void> {
const cols = typeof columns === "string" ? [columns] : columns;
return await this.inner.setUnenforcedPrimaryKey(cols);
}
async setLsmWriteSpec(spec: LsmWriteSpec): Promise<void> {
return await this.inner.setLsmWriteSpec(spec);
}
async unsetLsmWriteSpec(): Promise<void> {
return await this.inner.unsetLsmWriteSpec();
}
async closeLsmWriters(): Promise<void> {
return await this.inner.closeLsmWriters();
}
async version(): Promise<number> {
return await this.inner.version();
}

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": [
"win32"
],

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",

4703
nodejs/package-lock.json generated

File diff suppressed because it is too large Load Diff

View File

@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.30.0-beta.1",
"version": "0.28.0-beta.10",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",
@@ -38,15 +38,15 @@
"url": "https://github.com/lancedb/lancedb"
},
"devDependencies": {
"@aws-sdk/client-dynamodb": "3.1003.0",
"@aws-sdk/client-kms": "3.1003.0",
"@aws-sdk/client-s3": "3.1003.0",
"@aws-sdk/client-dynamodb": "^3.33.0",
"@aws-sdk/client-kms": "^3.33.0",
"@aws-sdk/client-s3": "^3.33.0",
"@biomejs/biome": "^1.7.3",
"@jest/globals": "^29.7.0",
"@napi-rs/cli": "3.5.1",
"@napi-rs/cli": "^3.5.1",
"@types/axios": "^0.14.0",
"@types/jest": "^29.1.2",
"@types/node": "22.7.4",
"@types/node": "^22.7.4",
"@types/tmp": "^0.2.6",
"apache-arrow-15": "npm:apache-arrow@15.0.0",
"apache-arrow-16": "npm:apache-arrow@16.0.0",
@@ -57,9 +57,9 @@
"shx": "^0.3.4",
"tmp": "^0.2.3",
"ts-jest": "^29.1.2",
"typedoc": "0.26.4",
"typedoc-plugin-markdown": "4.2.1",
"typescript": "5.5.4",
"typedoc": "^0.26.4",
"typedoc-plugin-markdown": "^4.2.1",
"typescript": "^5.5.4",
"typescript-eslint": "^7.1.0"
},
"ava": {
@@ -68,16 +68,16 @@
"engines": {
"node": ">= 18"
},
"packageManager": "pnpm@11.1.1",
"cpu": ["x64", "arm64"],
"os": ["darwin", "linux", "win32"],
"scripts": {
"artifacts": "napi artifacts",
"build:debug": "napi build --platform --dts ../lancedb/native.d.ts --js ../lancedb/native.js --output-dir lancedb",
"postbuild:debug": "shx mkdir -p dist && shx cp lancedb/*.node dist/ && node -e \"require('fs').writeFileSync('dist/package.json', JSON.stringify({name:'@lancedb/lancedb',type:'commonjs'}))\"",
"postbuild:debug": "shx mkdir -p dist && shx cp lancedb/*.node dist/",
"build:release": "napi build --platform --release --dts ../lancedb/native.d.ts --js ../lancedb/native.js --output-dir dist",
"build": "pnpm build:debug && pnpm tsc",
"build-release": "pnpm build:release && pnpm tsc",
"postbuild:release": "shx mkdir -p dist && shx cp lancedb/*.node dist/",
"build": "npm run build:debug && npm run tsc",
"build-release": "npm run build:release && npm run tsc",
"tsc": "tsc -b",
"posttsc": "shx cp lancedb/native.d.ts dist/native.d.ts",
"lint-ci": "biome ci .",
@@ -87,7 +87,7 @@
"lint-fix": "biome check --write . && biome format --write .",
"prepublishOnly": "napi prepublish -t npm",
"test": "jest --verbose",
"integration": "S3_TEST=1 pnpm test",
"integration": "S3_TEST=1 npm run test",
"universal": "napi universalize",
"version": "napi version"
},
@@ -95,8 +95,8 @@
"reflect-metadata": "^0.2.2"
},
"optionalDependencies": {
"@huggingface/transformers": "3.0.2",
"openai": "4.29.2"
"@huggingface/transformers": "^3.0.2",
"openai": "^4.29.2"
},
"peerDependencies": {
"apache-arrow": ">=15.0.0 <=18.1.0"

7317
nodejs/pnpm-lock.yaml generated

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View File

@@ -1,18 +0,0 @@
# Flat node_modules layout. The @napi-rs/cli build step fails to locate
# the cdylib artifact under pnpm's isolated layout; the hoisted linker
# mirrors npm's structure and unblocks the native build.
nodeLinker: hoisted
# Block resolution of versions less than 24h old (Shai-Hulud window).
# This is the pnpm 11 default but pinned here so it's visible to
# reviewers and survives a future pnpm major flipping the default.
minimumReleaseAge: 1440
# Fail install if a transitive dep tries to run an unapproved script.
strictDepBuilds: true
allowBuilds:
'@biomejs/biome': true
onnxruntime-node: true
protobufjs: true
sharp: true

View File

@@ -8,16 +8,12 @@ use lancedb::database::{CreateTableMode, Database};
use napi::bindgen_prelude::*;
use napi_derive::*;
use crate::ConnectNamespaceOptions;
use crate::ConnectionOptions;
use crate::error::NapiErrorExt;
use crate::header::JsHeaderProvider;
use crate::table::Table;
use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection, connect_namespace};
use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection};
use lance_namespace::models::{
CreateNamespaceRequest, DescribeNamespaceRequest, DropNamespaceRequest, ListNamespacesRequest,
};
use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema};
#[napi]
@@ -25,29 +21,6 @@ pub struct Connection {
inner: Option<LanceDBConnection>,
}
#[napi(object)]
pub struct DescribeNamespaceResponse {
pub properties: Option<HashMap<String, String>>,
}
#[napi(object)]
pub struct ListNamespacesResponse {
pub namespaces: Vec<String>,
pub page_token: Option<String>,
}
#[napi(object)]
pub struct CreateNamespaceResponse {
pub properties: Option<HashMap<String, String>>,
pub transaction_id: Option<String>,
}
#[napi(object)]
pub struct DropNamespaceResponse {
pub properties: Option<HashMap<String, String>>,
pub transaction_id: Option<Vec<String>>,
}
impl Connection {
pub(crate) fn inner_new(inner: LanceDBConnection) -> Self {
Self { inner: Some(inner) }
@@ -133,39 +106,6 @@ impl Connection {
Ok(Self::inner_new(builder.execute().await.default_error()?))
}
/// Create a new Connection instance backed by a namespace implementation.
#[napi(factory)]
pub async fn new_with_namespace(
impl_name: String,
properties: HashMap<String, String>,
options: ConnectNamespaceOptions,
) -> napi::Result<Self> {
if impl_name.is_empty() {
return Err(napi::Error::from_reason(
"implName must be a non-empty string",
));
}
let mut builder = connect_namespace(&impl_name, properties);
if let Some(interval) = options.read_consistency_interval {
builder =
builder.read_consistency_interval(std::time::Duration::from_secs_f64(interval));
}
if let Some(storage_options) = options.storage_options {
for (key, value) in storage_options {
builder = builder.storage_option(key, value);
}
}
if let Some(namespace_client_properties) = options.namespace_client_properties {
builder = builder.namespace_client_properties(namespace_client_properties);
}
if let Some(session) = options.session {
builder = builder.session(session.inner.clone());
}
Ok(Self::inner_new(builder.execute().await.default_error()?))
}
#[napi]
pub fn display(&self) -> napi::Result<String> {
Ok(self.get_inner()?.to_string())
@@ -333,149 +273,4 @@ impl Connection {
let ns = namespace_path.unwrap_or_default();
self.get_inner()?.drop_all_tables(&ns).await.default_error()
}
#[napi(catch_unwind)]
/// Describe a namespace and return its properties.
pub async fn describe_namespace(
&self,
namespace_path: Vec<String>,
) -> napi::Result<DescribeNamespaceResponse> {
let req = DescribeNamespaceRequest {
id: Some(namespace_path),
..Default::default()
};
let resp = self
.get_inner()?
.describe_namespace(req)
.await
.default_error()?;
Ok(DescribeNamespaceResponse {
properties: resp.properties,
})
}
#[napi(catch_unwind)]
/// List child namespaces under the given namespace path
pub async fn list_namespaces(
&self,
namespace_path: Option<Vec<String>>,
page_token: Option<String>,
limit: Option<u32>,
) -> napi::Result<ListNamespacesResponse> {
let req = ListNamespacesRequest {
id: namespace_path,
page_token,
limit: limit.map(|l| l as i32),
..Default::default()
};
let resp = self
.get_inner()?
.list_namespaces(req)
.await
.default_error()?;
Ok(ListNamespacesResponse {
namespaces: resp.namespaces,
page_token: resp.page_token,
})
}
#[napi(catch_unwind)]
/// Create a new namespace with optional properties.
pub async fn create_namespace(
&self,
namespace_path: Vec<String>,
mode: Option<String>,
properties: Option<HashMap<String, String>>,
) -> napi::Result<CreateNamespaceResponse> {
let mode_str = mode
.map(|m| match m.to_lowercase().as_str() {
"create" => Ok("Create".to_string()),
"exist_ok" => Ok("ExistOk".to_string()),
"overwrite" => Ok("Overwrite".to_string()),
_ => Err(napi::Error::from_reason(format!(
"Invalid mode '{}': expected one of 'create', 'exist_ok', 'overwrite'",
m
))),
})
.transpose()?;
let req = CreateNamespaceRequest {
id: Some(namespace_path),
mode: mode_str,
properties,
..Default::default()
};
let resp = self
.get_inner()?
.create_namespace(req)
.await
.default_error()?;
Ok(CreateNamespaceResponse {
properties: resp.properties,
transaction_id: resp.transaction_id,
})
}
#[napi(catch_unwind)]
/// Drop a namespace.
pub async fn drop_namespace(
&self,
namespace_path: Vec<String>,
mode: Option<String>,
behavior: Option<String>,
) -> napi::Result<DropNamespaceResponse> {
let mode_str = mode
.map(|m| match m.to_lowercase().as_str() {
"skip" => Ok("Skip".to_string()),
"fail" => Ok("Fail".to_string()),
_ => Err(napi::Error::from_reason(format!(
"Invalid mode '{}': expected one of 'skip', 'fail'",
m
))),
})
.transpose()?;
let behavior_str = behavior
.map(|b| match b.to_lowercase().as_str() {
"restrict" => Ok("Restrict".to_string()),
"cascade" => Ok("Cascade".to_string()),
_ => Err(napi::Error::from_reason(format!(
"Invalid behavior '{}': expected one of 'restrict', 'cascade'",
b
))),
})
.transpose()?;
let req = DropNamespaceRequest {
id: Some(namespace_path),
mode: mode_str,
behavior: behavior_str,
..Default::default()
};
let resp = self
.get_inner()?
.drop_namespace(req)
.await
.default_error()?;
Ok(DropNamespaceResponse {
properties: resp.properties,
transaction_id: resp.transaction_id,
})
}
/// Rename a table. `current_namespace_path` and `new_namespace_path` default to
/// the root namespace when omitted; the caller is expected to either pass both
/// or pass neither.
#[napi(catch_unwind)]
pub async fn rename_table(
&self,
current_name: String,
new_name: String,
current_namespace_path: Option<Vec<String>>,
new_namespace_path: Option<Vec<String>>,
) -> napi::Result<()> {
let cur_ns = current_namespace_path.unwrap_or_default();
let new_ns = new_namespace_path.unwrap_or_default();
self.get_inner()?
.rename_table(&current_name, &new_name, &cur_ns, &new_ns)
.await
.default_error()
}
}

View File

@@ -16,7 +16,6 @@ pub mod permutation;
mod query;
pub mod remote;
mod rerankers;
mod scannable;
mod session;
mod table;
mod util;
@@ -24,19 +23,15 @@ mod util;
#[napi(object)]
#[derive(Debug)]
pub struct ConnectionOptions {
/// The interval, in seconds, at which to check for updates to the table
/// from other processes. If None, then consistency is not checked. For
/// performance reasons, this is the default. For strong consistency, set
/// this to zero seconds. Then every read will check for updates from other
/// processes. As a compromise, you can set this to a non-zero value for
/// eventual consistency. If more than that interval has passed since the
/// last check, then the table will be checked for updates. Note: this
/// consistency only applies to read operations. Write operations are
/// (For LanceDB OSS only): The interval, in seconds, at which to check for
/// updates to the table from other processes. If None, then consistency is not
/// checked. For performance reasons, this is the default. For strong
/// consistency, set this to zero seconds. Then every read will check for
/// updates from other processes. As a compromise, you can set this to a
/// non-zero value for eventual consistency. If more than that interval
/// has passed since the last check, then the table will be checked for updates.
/// Note: this consistency only applies to read operations. Write operations are
/// always consistent.
///
/// Stronger consistency is not free. The smaller the interval, the more
/// often each read pays the cost of checking for updates against object
/// storage, raising per-read latency and cost.
pub read_consistency_interval: Option<f64>,
/// (For LanceDB OSS only): configuration for object storage.
///
@@ -72,26 +67,6 @@ pub struct OpenTableOptions {
pub storage_options: Option<HashMap<String, String>>,
}
#[napi(object)]
#[derive(Debug)]
pub struct ConnectNamespaceOptions {
/// The interval, in seconds, at which to check for updates to the table
/// from other processes. If None, then consistency is not checked. For
/// performance reasons, this is the default. For strong consistency, set
/// this to zero seconds. Then every read will check for updates from other
/// processes. As a compromise, you can set this to a non-zero value for
/// eventual consistency.
pub read_consistency_interval: Option<f64>,
/// Configuration for object storage. The available options are described
/// at https://docs.lancedb.com/storage/
pub storage_options: Option<HashMap<String, String>>,
/// Extra properties for the backing namespace client.
pub namespace_client_properties: Option<HashMap<String, String>>,
/// The session to use for this connection. Holds shared caches and other
/// session-specific state.
pub session: Option<session::Session>,
}
#[napi_derive::module_init]
fn init() {
let env = Env::new()

View File

@@ -50,20 +50,6 @@ impl NativeMergeInsertBuilder {
this
}
#[napi]
pub fn use_lsm_write(&self, use_lsm_write: bool) -> Self {
let mut this = self.clone();
this.inner.use_lsm_write(use_lsm_write);
this
}
#[napi]
pub fn validate_single_shard(&self, validate_single_shard: bool) -> Self {
let mut this = self.clone();
this.inner.validate_single_shard(validate_single_shard);
this
}
#[napi(catch_unwind)]
pub async fn execute(&self, buf: Buffer) -> napi::Result<MergeResult> {
let data = ipc_file_to_batches(buf.to_vec())

View File

@@ -3,12 +3,6 @@
use std::sync::Arc;
use crate::error::NapiErrorExt;
use crate::error::convert_error;
use crate::iterator::RecordBatchIterator;
use crate::rerankers::RerankHybridCallbackArgs;
use crate::rerankers::Reranker;
use crate::util::{parse_distance_type, schema_to_buffer};
use arrow_array::{
Array, Float16Array as ArrowFloat16Array, Float32Array as ArrowFloat32Array,
Float64Array as ArrowFloat64Array, UInt8Array as ArrowUInt8Array,
@@ -25,27 +19,16 @@ use lancedb::query::QueryBase;
use lancedb::query::QueryExecutionOptions;
use lancedb::query::Select;
use lancedb::query::TakeQuery as LanceDbTakeQuery;
use lancedb::query::{ColumnOrdering as LanceDbColumnOrdering, VectorQuery as LanceDbVectorQuery};
use lancedb::query::VectorQuery as LanceDbVectorQuery;
use napi::bindgen_prelude::*;
use napi_derive::napi;
#[napi(object)]
pub struct ColumnOrdering {
pub ascending: bool,
pub nulls_first: bool,
pub column_name: String,
}
impl From<ColumnOrdering> for LanceDbColumnOrdering {
fn from(value: ColumnOrdering) -> Self {
match (value.ascending, value.nulls_first) {
(true, true) => Self::asc_nulls_first(value.column_name),
(true, false) => Self::asc_nulls_last(value.column_name),
(false, true) => Self::desc_nulls_first(value.column_name),
(false, false) => Self::desc_nulls_last(value.column_name),
}
}
}
use crate::error::NapiErrorExt;
use crate::error::convert_error;
use crate::iterator::RecordBatchIterator;
use crate::rerankers::RerankHybridCallbackArgs;
use crate::rerankers::Reranker;
use crate::util::{parse_distance_type, schema_to_buffer};
fn bytes_to_arrow_array(data: Uint8Array, dtype: String) -> napi::Result<Arc<dyn Array>> {
let buf = arrow_buffer::Buffer::from(data.to_vec());
@@ -145,18 +128,6 @@ impl Query {
self.inner = self.inner.clone().with_row_id();
}
#[napi]
pub fn order_by(&mut self, ordering: Option<Vec<ColumnOrdering>>) -> napi::Result<()> {
let ordering = ordering.map(|ordering| {
ordering
.into_iter()
.map(LanceDbColumnOrdering::from)
.collect()
});
self.inner = self.inner.clone().order_by(ordering);
Ok(())
}
#[napi(catch_unwind)]
pub async fn output_schema(&self) -> napi::Result<Buffer> {
let schema = self.inner.output_schema().await.default_error()?;
@@ -357,18 +328,6 @@ impl VectorQuery {
Ok(())
}
#[napi]
pub fn order_by(&mut self, ordering: Option<Vec<ColumnOrdering>>) -> napi::Result<()> {
let ordering = ordering.map(|ordering| {
ordering
.into_iter()
.map(LanceDbColumnOrdering::from)
.collect()
});
self.inner = self.inner.clone().order_by(ordering);
Ok(())
}
#[napi(catch_unwind)]
pub async fn output_schema(&self) -> napi::Result<Buffer> {
let schema = self.inner.output_schema().await.default_error()?;

View File

@@ -1,253 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! NodeJS binding for the [`lancedb::data::scannable::Scannable`] trait.
//!
//! The JS side supplies a `getNextBatch(isStart)` callback that returns the
//! next Arrow `RecordBatch` encoded as a self-contained Arrow IPC Stream
//! message (schema message + record batch message + EOS marker) wrapped in a
//! `Buffer`, or `null` when the stream is exhausted. The Rust side parses
//! each buffer with `arrow_ipc::reader::StreamReader`, validates every
//! standalone batch stream against the declared schema, and yields decoded
//! `RecordBatch`es as a [`SendableRecordBatchStream`].
//!
//! `isStart` is `true` on the first `getNextBatch` call of each new
//! `scan_as_stream` and `false` thereafter. JS uses it to drop any cached
//! iterator and re-invoke its factory at scan boundaries, so retries
//! triggered by mid-stream failures restart at batch 0.
use std::io::Cursor;
use std::sync::Arc;
use arrow_array::RecordBatch;
use arrow_ipc::reader::StreamReader;
use arrow_schema::SchemaRef;
use futures::stream::once;
use lancedb::arrow::{SendableRecordBatchStream, SimpleRecordBatchStream};
use lancedb::data::scannable::Scannable as LanceScannable;
use lancedb::ipc::ipc_file_to_schema;
use lancedb::{Error, Result as LanceResult};
use napi::bindgen_prelude::*;
use napi::threadsafe_function::ThreadsafeFunction;
use napi_derive::napi;
/// Threadsafe handle to the JS `getNextBatch` callback. The callback takes a
/// single boolean `isStart` (`true` on the first call of each new scan) and
/// returns a Promise that resolves to a `Buffer` containing one IPC Stream
/// message, or `null` at end-of-stream.
type GetNextBatchFn = ThreadsafeFunction<bool, Promise<Option<Buffer>>, bool, Status, false>;
/// A Rust-side view of a JS-constructed `Scannable`.
///
/// Held in JS as the return value of the `Scannable` class constructor. When
/// passed to a consumer that accepts `impl lancedb::data::scannable::Scannable`,
/// the consumer invokes `scan_as_stream()` to pull batches through the JS
/// callback.
#[napi]
pub struct NapiScannable {
schema: SchemaRef,
num_rows: Option<usize>,
rescannable: bool,
// `ThreadsafeFunction` is not `Clone`; wrap in `Arc` so the stream
// returned by `scan_as_stream` can own a handle independent of `self`.
get_next_batch: Arc<GetNextBatchFn>,
// Tracks whether a scan has already started; used to enforce one-shot
// semantics on non-rescannable sources.
scanned: bool,
}
#[napi]
impl NapiScannable {
/// Construct a new `NapiScannable`.
///
/// - `schema_buf` — Arrow IPC File buffer carrying only the schema (no batches).
/// - `num_rows` — optional row count hint; not validated against the stream.
/// - `rescannable` — whether `get_next_batch` may be re-driven after the
/// scan completes.
/// - `get_next_batch` -- JS callback that yields the next batch as an Arrow
/// IPC Stream message wrapped in a `Buffer`, or `null` at EOF. The
/// `isStart` argument is `true` on the first call of each new scan;
/// JS uses it to discard any cached iterator before pulling.
#[napi(constructor)]
pub fn new(
schema_buf: Buffer,
num_rows: Option<i64>,
rescannable: bool,
get_next_batch: Function<bool, Promise<Option<Buffer>>>,
) -> napi::Result<Self> {
let schema = ipc_file_to_schema(schema_buf.to_vec())
.map_err(|e| napi::Error::from_reason(format!("Invalid schema buffer: {}", e)))?;
let num_rows = num_rows
.map(|n| {
usize::try_from(n)
.map_err(|_| napi::Error::from_reason("num_rows must be non-negative"))
})
.transpose()?;
let get_next_batch = Arc::new(get_next_batch.build_threadsafe_function().build()?);
Ok(Self {
schema,
num_rows,
rescannable,
get_next_batch,
scanned: false,
})
}
}
impl std::fmt::Debug for NapiScannable {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("NapiScannable")
.field("schema", &self.schema)
.field("num_rows", &self.num_rows)
.field("rescannable", &self.rescannable)
.finish()
}
}
impl LanceScannable for NapiScannable {
fn schema(&self) -> SchemaRef {
self.schema.clone()
}
fn scan_as_stream(&mut self) -> SendableRecordBatchStream {
let schema = self.schema.clone();
// One-shot enforcement for non-rescannable sources: return a stream
// whose first item is an error.
if self.scanned && !self.rescannable {
let err_stream = once(async {
Err(Error::InvalidInput {
message: "Scannable has already been consumed (non-rescannable source)"
.to_string(),
})
});
return Box::pin(SimpleRecordBatchStream::new(err_stream, schema));
}
self.scanned = true;
let tsfn = Arc::clone(&self.get_next_batch);
let declared_schema = schema.clone();
// State threaded through the unfold. `is_first_pull` starts true so
// the first call into JS signals a new-scan boundary; JS uses it to
// reset any cached iterator before factory()-ing a fresh one.
let initial = State {
tsfn,
batch_index: 0,
declared_schema,
errored: false,
is_first_pull: true,
};
let stream = futures::stream::unfold(initial, |mut state| async move {
if state.errored {
return None;
}
// Pull the next IPC Stream buffer from JS. `is_first_pull` is
// consumed here and cleared so subsequent pulls continue the
// same scan rather than restarting it.
let is_start = state.is_first_pull;
state.is_first_pull = false;
let buf = match pull_next(&state.tsfn, is_start).await {
Ok(Some(buf)) => buf,
Ok(None) => return None,
Err(e) => {
state.errored = true;
return Some((Err(e), state));
}
};
match decode_one_batch(buf.as_ref(), &state.declared_schema) {
Ok(batch) => {
state.batch_index += 1;
Some((Ok(batch), state))
}
Err(e) => {
let tagged = Error::Runtime {
message: format!(
"[scannable/rust-bridge] failure at batch index {}: {}",
state.batch_index, e
),
};
state.errored = true;
Some((Err(tagged), state))
}
}
});
Box::pin(SimpleRecordBatchStream::new(stream, schema))
}
fn num_rows(&self) -> Option<usize> {
self.num_rows
}
fn rescannable(&self) -> bool {
self.rescannable
}
}
struct State {
tsfn: Arc<GetNextBatchFn>,
batch_index: usize,
declared_schema: SchemaRef,
errored: bool,
/// True for the very first pull of a new scan. Forwarded to JS so the
/// callback can drop any cached iterator and call its factory fresh,
/// which makes rescannable sources restart at batch 0 even when the
/// previous scan ended mid-stream.
is_first_pull: bool,
}
/// Invoke the JS callback and await its Promise. `is_start` is forwarded to
/// the JS side as the `isStart` argument so it can reset its iterator at the
/// scan boundary. Errors on the JS side surface here as rejected promises
/// and are tunneled back as `lancedb::Error::Runtime`.
async fn pull_next(tsfn: &GetNextBatchFn, is_start: bool) -> LanceResult<Option<Buffer>> {
let promise = tsfn
.call_async(is_start)
.await
.map_err(|e| Error::Runtime {
message: format!(
"[scannable/js-factory] napi error status={}, reason={}",
e.status, e.reason
),
})?;
promise.await.map_err(|e| Error::Runtime {
message: format!(
"[scannable/js-iterator] napi error status={}, reason={}",
e.status, e.reason
),
})
}
/// Decode one IPC Stream buffer (schema + batch + EOS) into a `RecordBatch`.
/// Each buffer is a standalone IPC stream, so every decoded stream schema must
/// match the one declared at construction.
fn decode_one_batch(buf: &[u8], declared: &SchemaRef) -> LanceResult<RecordBatch> {
let reader = StreamReader::try_new(Cursor::new(buf), None).map_err(|e| Error::Runtime {
message: format!("failed to open IPC stream reader: {}", e),
})?;
let actual = reader.schema();
if actual.as_ref() != declared.as_ref() {
return Err(Error::InvalidInput {
message: format!(
"declared schema does not match stream schema: declared={:?} actual={:?}",
declared, actual
),
});
}
let mut iter = reader;
let batch = iter
.next()
.ok_or_else(|| Error::Runtime {
message: "IPC stream contained schema but no record batch".to_string(),
})?
.map_err(|e| Error::Runtime {
message: format!("failed to decode record batch: {}", e),
})?;
Ok(batch)
}

View File

@@ -9,7 +9,6 @@ use lancedb::table::{
OptimizeAction, OptimizeOptions, Table as LanceDbTable,
};
use napi::bindgen_prelude::*;
use napi::threadsafe_function::{ThreadsafeFunction, ThreadsafeFunctionCallMode};
use napi_derive::napi;
use crate::error::NapiErrorExt;
@@ -68,16 +67,8 @@ impl Table {
schema_to_buffer(&schema)
}
#[napi(
catch_unwind,
ts_args_type = "buf: Buffer, mode: string, progressCallback?: (progress: WriteProgressInfo) => void"
)]
pub async fn add(
&self,
buf: Buffer,
mode: String,
progress_callback: Option<ProgressFn>,
) -> napi::Result<AddResult> {
#[napi(catch_unwind)]
pub async fn add(&self, buf: Buffer, mode: String) -> napi::Result<AddResult> {
let batches = ipc_file_to_batches(buf.to_vec())
.map_err(|e| napi::Error::from_reason(format!("Failed to read IPC file: {}", e)))?;
let batches = batches
@@ -101,19 +92,6 @@ impl Table {
return Err(napi::Error::from_reason(format!("Invalid mode: {}", mode)));
};
if let Some(tsfn) = progress_callback {
op = op.progress(move |p| {
// NonBlocking: dispatch onto the JS event loop without
// blocking the writer thread. With napi-rs's default
// unbounded queue, events are not dropped — a slow JS
// callback will just queue them.
tsfn.call(
WriteProgressInfo::from(p),
ThreadsafeFunctionCallMode::NonBlocking,
);
});
}
let res = op.execute().await.default_error()?;
Ok(res.into())
}
@@ -181,14 +159,6 @@ impl Table {
.default_error()
}
#[napi(catch_unwind)]
pub async fn prewarm_data(&self, columns: Option<Vec<String>>) -> napi::Result<()> {
self.inner_ref()?
.prewarm_data(columns)
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn wait_for_index(&self, index_names: Vec<String>, timeout_s: i64) -> Result<()> {
let timeout = std::time::Duration::from_secs(timeout_s.try_into().unwrap());
@@ -366,36 +336,6 @@ impl Table {
Ok(res.into())
}
#[napi(catch_unwind)]
pub async fn set_unenforced_primary_key(&self, columns: Vec<String>) -> napi::Result<()> {
self.inner_ref()?
.set_unenforced_primary_key(columns)
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn set_lsm_write_spec(&self, spec: LsmWriteSpec) -> napi::Result<()> {
let native_spec = lancedb::table::LsmWriteSpec::try_from(spec)?;
self.inner_ref()?
.set_lsm_write_spec(native_spec)
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn unset_lsm_write_spec(&self) -> napi::Result<()> {
self.inner_ref()?
.unset_lsm_write_spec()
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn close_lsm_writers(&self) -> napi::Result<()> {
self.inner_ref()?.close_lsm_writers().await.default_error()
}
#[napi(catch_unwind)]
pub async fn version(&self) -> napi::Result<i64> {
self.inner_ref()?
@@ -590,63 +530,6 @@ impl From<lancedb::index::IndexConfig> for IndexConfig {
}
}
/// Specification selecting Lance's MemWAL LSM-style write path for
/// `mergeInsert`.
///
/// `specType` must be `"bucket"`, `"identity"`, or `"unsharded"`. For
/// `"bucket"`, `column` and `numBuckets` are required; for `"identity"`,
/// `column` is required.
#[napi(object)]
#[derive(Clone, Debug)]
pub struct LsmWriteSpec {
/// One of `"bucket"`, `"identity"`, or `"unsharded"`.
pub spec_type: String,
/// Bucket and identity variants: the sharding column.
pub column: Option<String>,
/// Bucket variant: the number of buckets, in `[1, 1024]`.
pub num_buckets: Option<u32>,
/// Names of indexes the MemWAL should keep up to date during writes.
pub maintained_indexes: Option<Vec<String>>,
/// Default `ShardWriter` configuration recorded in the MemWAL index.
pub writer_config_defaults: Option<HashMap<String, String>>,
}
impl TryFrom<LsmWriteSpec> for lancedb::table::LsmWriteSpec {
type Error = napi::Error;
fn try_from(value: LsmWriteSpec) -> napi::Result<Self> {
let maintained = value.maintained_indexes.unwrap_or_default();
let writer_config_defaults = value.writer_config_defaults.unwrap_or_default();
let spec = match value.spec_type.as_str() {
"bucket" => {
let column = value.column.ok_or_else(|| {
napi::Error::from_reason("LsmWriteSpec bucket requires `column`")
})?;
let num_buckets = value.num_buckets.ok_or_else(|| {
napi::Error::from_reason("LsmWriteSpec bucket requires `numBuckets`")
})?;
Self::bucket(column, num_buckets)
}
"identity" => {
let column = value.column.ok_or_else(|| {
napi::Error::from_reason("LsmWriteSpec identity requires `column`")
})?;
Self::identity(column)
}
"unsharded" => Self::unsharded(),
other => {
return Err(napi::Error::from_reason(format!(
"LsmWriteSpec `specType` must be 'bucket', 'identity', or 'unsharded', got '{}'",
other
)));
}
};
Ok(spec
.with_maintained_indexes(maintained)
.with_writer_config_defaults(writer_config_defaults))
}
}
/// Statistics about a compaction operation.
#[napi(object)]
#[derive(Clone, Debug)]
@@ -681,44 +564,6 @@ pub struct OptimizeStats {
pub prune: RemovalStats,
}
/// Progress snapshot for a write operation, delivered to the JS callback
/// passed to `Table.add`.
#[napi(object)]
#[derive(Clone, Debug)]
pub struct WriteProgressInfo {
/// Number of rows written so far.
pub output_rows: i64,
/// Number of bytes written so far.
pub output_bytes: i64,
/// Total rows expected, if the input source reports it.
/// Always set on the final callback (where `done` is `true`).
pub total_rows: Option<i64>,
/// Wall-clock seconds since monitoring started.
pub elapsed_seconds: f64,
/// Number of parallel write tasks currently in flight.
pub active_tasks: i64,
/// Total number of parallel write tasks (the write parallelism).
pub total_tasks: i64,
/// `true` for the final callback; `false` otherwise.
pub done: bool,
}
impl From<&lancedb::table::write_progress::WriteProgress> for WriteProgressInfo {
fn from(p: &lancedb::table::write_progress::WriteProgress) -> Self {
Self {
output_rows: p.output_rows() as i64,
output_bytes: p.output_bytes() as i64,
total_rows: p.total_rows().map(|n| n as i64),
elapsed_seconds: p.elapsed().as_secs_f64(),
active_tasks: p.active_tasks() as i64,
total_tasks: p.total_tasks() as i64,
done: p.done(),
}
}
}
type ProgressFn = ThreadsafeFunction<WriteProgressInfo, (), WriteProgressInfo, Status, false>;
/// A definition of a column alteration. The alteration changes the column at
/// `path` to have the new name `name`, to be nullable if `nullable` is true,
/// and to have the data type `data_type`. At least one of `rename` or `nullable`
@@ -945,7 +790,6 @@ pub struct MergeResult {
pub num_updated_rows: i64,
pub num_deleted_rows: i64,
pub num_attempts: i64,
pub num_rows: i64,
}
impl From<lancedb::table::MergeResult> for MergeResult {
@@ -956,7 +800,6 @@ impl From<lancedb::table::MergeResult> for MergeResult {
num_updated_rows: value.num_updated_rows as i64,
num_deleted_rows: value.num_deleted_rows as i64,
num_attempts: value.num_attempts as i64,
num_rows: value.num_rows as i64,
}
}
}

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.33.0-beta.1"
current_version = "0.31.0-beta.10"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -4,26 +4,16 @@ code is in the `src/` directory and the Python bindings are in the `lancedb/` di
Common commands:
* Bootstrap dev env: `uv run --extra tests --extra dev maturin develop --extras tests,dev`
* Build: `make develop`
* Format: `make format`
* Lint: `make check`
* Fix lints: `make fix`
* Test: `uv run --extra tests pytest python/tests -vv --durations=10 -m "not slow and not s3_test"`
* Run specific test: `uv run --extra tests pytest python/tests/<test_file>.py::<test_name> -q`
* Doc test: `uv run --extra tests pytest --doctest-modules python/lancedb`
Use the uv-managed environment declared by `uv.lock` for Python validation. Do
not treat system `python`, global `pytest`, or missing editable-install errors
as final blockers; bootstrap or enter the uv environment instead. `make test`
and `make doctest` assume the development environment is already prepared.
* Test: `make test`
* Doc test: `make doctest`
Before committing changes, run lints and then formatting.
When you change the Rust code, PyO3 binding code, or see a missing/stale
`lancedb._lancedb`, recompile the Python bindings with
`uv run --extra tests --extra dev maturin develop --extras tests,dev` before
running tests.
When you change the Rust code, you will need to recompile the Python bindings: `make develop`.
When you export new types from Rust to Python, you must manually update `python/lancedb/_lancedb.pyi`
with the corresponding type hints. You can run `pyright` to check for type errors in the Python code.

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb-python"
version = "0.33.0-beta.1"
version = "0.31.0-beta.10"
publish = false
edition.workspace = true
description = "Python bindings for LanceDB"
@@ -15,19 +15,18 @@ name = "_lancedb"
crate-type = ["cdylib"]
[dependencies]
arrow = { version = "58.0.0", features = ["pyarrow"] }
arrow = { version = "57.2", features = ["pyarrow"] }
async-trait = "0.1"
bytes = "1"
lancedb = { path = "../rust/lancedb", default-features = false }
datafusion-common.workspace = true
lance-core.workspace = true
lance-namespace.workspace = true
lance-namespace-impls.workspace = true
lance-io.workspace = true
env_logger.workspace = true
log.workspace = true
pyo3 = { version = "0.28", features = ["extension-module", "abi3-py39"] }
pyo3-async-runtimes = { version = "0.28", features = [
pyo3 = { version = "0.26", features = ["extension-module", "abi3-py39"] }
pyo3-async-runtimes = { version = "0.26", features = [
"attributes",
"tokio-runtime",
] }
@@ -36,11 +35,10 @@ futures.workspace = true
serde = "1"
serde_json = "1"
snafu.workspace = true
tokio = { version = "1.40", features = ["sync", "rt-multi-thread"] }
libc = "0.2"
tokio = { version = "1.40", features = ["sync"] }
[build-dependencies]
pyo3-build-config = { version = "0.28", features = [
pyo3-build-config = { version = "0.26", features = [
"extension-module",
"abi3-py39",
] }

View File

@@ -7,6 +7,7 @@ import os
from concurrent.futures import ThreadPoolExecutor
from datetime import timedelta
from typing import Dict, Optional, Union, Any, List
import warnings
__version__ = importlib.metadata.version("lancedb")
@@ -94,6 +95,7 @@ def connect(
host_override: str, optional
The override url for LanceDB Cloud.
read_consistency_interval: timedelta, default None
(For LanceDB OSS only)
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
reasons, this is the default. For strong consistency, set this to
@@ -103,10 +105,6 @@ def connect(
the last check, then the table will be checked for updates. Note: this
consistency only applies to read operations. Write operations are
always consistent.
Stronger consistency is not free. The smaller the interval, the more
often each read pays the cost of checking for updates against object
storage, raising per-read latency and cost.
client_config: ClientConfig or dict, optional
Configuration options for the LanceDB Cloud HTTP client. If a dict, then
the keys are the attributes of the ClientConfig class. If None, then the
@@ -150,13 +148,6 @@ def connect(
>>> db = lancedb.connect("s3://my-bucket/lancedb",
... storage_options={"aws_access_key_id": "***"})
For tests and temporary data, use an in-memory database:
>>> db = lancedb.connect("memory://")
In-memory databases are not persisted. Tables are dropped when the last
connection or table handle referencing them is closed.
Connect to LanceDB cloud:
>>> db = lancedb.connect("db://my_database", api_key="ldb_...",
@@ -220,7 +211,6 @@ def connect(
request_thread_pool=request_thread_pool,
client_config=client_config,
storage_options=storage_options,
read_consistency_interval=read_consistency_interval,
**kwargs,
)
_check_s3_bucket_with_dots(str(uri), storage_options)
@@ -347,6 +337,7 @@ async def connect_async(
host_override: str, optional
The override url for LanceDB Cloud.
read_consistency_interval: timedelta, default None
(For LanceDB OSS only)
The interval at which to check for updates to the table from other
processes. If None, then consistency is not checked. For performance
reasons, this is the default. For strong consistency, set this to
@@ -356,10 +347,6 @@ async def connect_async(
the last check, then the table will be checked for updates. Note: this
consistency only applies to read operations. Write operations are
always consistent.
Stronger consistency is not free. The smaller the interval, the more
often each read pays the cost of checking for updates against object
storage, raising per-read latency and cost.
client_config: ClientConfig or dict, optional
Configuration options for the LanceDB Cloud HTTP client. If a dict, then
the keys are the attributes of the ClientConfig class. If None, then the
@@ -392,8 +379,6 @@ async def connect_async(
... db = await lancedb.connect_async("s3://my-bucket/lancedb",
... storage_options={
... "aws_access_key_id": "***"})
... # For tests and temporary data, use an in-memory database
... db = await lancedb.connect_async("memory://")
... # Connect to LanceDB cloud
... db = await lancedb.connect_async("db://my_database", api_key="ldb_...",
... client_config={
@@ -453,3 +438,13 @@ __all__ = [
"Table",
"__version__",
]
def __warn_on_fork():
warnings.warn(
"lance is not fork-safe. If you are using multiprocessing, use spawn instead.",
)
if hasattr(os, "register_at_fork"):
os.register_at_fork(before=__warn_on_fork) # type: ignore[attr-defined]

View File

@@ -12,7 +12,6 @@ from .index import (
LabelList,
HnswPq,
HnswSq,
HnswFlat,
FTS,
)
from lance_namespace import (
@@ -26,7 +25,6 @@ from .remote import ClientConfig
IvfHnswPq: type[HnswPq] = HnswPq
IvfHnswSq: type[HnswSq] = HnswSq
IvfHnswFlat: type[HnswFlat] = HnswFlat
class PyExpr:
"""A type-safe DataFusion expression node (Rust-side handle)."""
@@ -51,7 +49,7 @@ class PyExpr:
def to_sql(self) -> str: ...
def expr_col(name: str) -> PyExpr: ...
def expr_lit(value: Union[bool, int, float, str, bytes]) -> PyExpr: ...
def expr_lit(value: Union[bool, int, float, str]) -> PyExpr: ...
def expr_func(name: str, args: List[PyExpr]) -> PyExpr: ...
class Session:
@@ -182,7 +180,6 @@ class Table:
IvfPq,
HnswPq,
HnswSq,
HnswFlat,
BTree,
Bitmap,
LabelList,
@@ -217,10 +214,6 @@ class Table:
async def uri(self) -> str: ...
async def initial_storage_options(self) -> Optional[Dict[str, str]]: ...
async def latest_storage_options(self) -> Optional[Dict[str, str]]: ...
async def set_unenforced_primary_key(self, columns: List[str]) -> None: ...
async def set_lsm_write_spec(self, spec: LsmWriteSpec) -> None: ...
async def unset_lsm_write_spec(self) -> None: ...
async def close_lsm_writers(self) -> None: ...
@property
def tags(self) -> Tags: ...
def query(self) -> Query: ...
@@ -259,11 +252,6 @@ class RecordBatchStream:
def __aiter__(self) -> "RecordBatchStream": ...
async def __anext__(self) -> pa.RecordBatch: ...
class ColumnOrdering(TypedDict):
column_name: str
ascending: bool
nulls_first: bool
class Query:
def where(self, filter: str): ...
def where_expr(self, expr: PyExpr): ...
@@ -277,7 +265,6 @@ class Query:
def postfilter(self): ...
def nearest_to(self, query_vec: pa.Array) -> VectorQuery: ...
def nearest_to_text(self, query: dict) -> FTSQuery: ...
def order_by(self, ordering: Optional[List[ColumnOrdering]]): ...
async def output_schema(self) -> pa.Schema: ...
async def execute(
self, max_batch_length: Optional[int], timeout: Optional[timedelta]
@@ -306,7 +293,6 @@ class FTSQuery:
def get_query(self) -> str: ...
def add_query_vector(self, query_vec: pa.Array) -> None: ...
def nearest_to(self, query_vec: pa.Array) -> HybridQuery: ...
def order_by(self, ordering: Optional[List[ColumnOrdering]]): ...
async def output_schema(self) -> pa.Schema: ...
async def execute(
self, max_batch_length: Optional[int], timeout: Optional[timedelta]
@@ -332,7 +318,6 @@ class VectorQuery:
def maximum_nprobes(self, maximum_nprobes: int): ...
def bypass_vector_index(self): ...
def nearest_to_text(self, query: dict) -> HybridQuery: ...
def order_by(self, ordering: Optional[List[ColumnOrdering]]): ...
def to_query_request(self) -> PyQueryRequest: ...
class HybridQuery:
@@ -351,7 +336,6 @@ class HybridQuery:
def minimum_nprobes(self, minimum_nprobes: int): ...
def maximum_nprobes(self, maximum_nprobes: int): ...
def bypass_vector_index(self): ...
def order_by(self, ordering: Optional[List[ColumnOrdering]]): ...
def to_vector_query(self) -> VectorQuery: ...
def to_fts_query(self) -> FTSQuery: ...
def get_limit(self) -> int: ...
@@ -381,7 +365,6 @@ class PyQueryRequest:
bypass_vector_index: Optional[bool]
postfilter: Optional[bool]
norm: Optional[str]
order_by: Optional[List[ColumnOrdering]]
class CompactionStats:
fragments_removed: int
@@ -421,38 +404,6 @@ class MergeResult:
num_inserted_rows: int
num_deleted_rows: int
num_attempts: int
num_rows: int
class LsmWriteSpec:
"""Specification selecting Lance's MemWAL LSM-style write path for
`merge_insert`."""
@staticmethod
def bucket(column: str, num_buckets: int) -> "LsmWriteSpec": ...
@staticmethod
def identity(column: str) -> "LsmWriteSpec": ...
@staticmethod
def unsharded() -> "LsmWriteSpec": ...
def with_maintained_indexes(self, indexes: List[str]) -> "LsmWriteSpec":
"""Return a copy of this spec asking the MemWAL to keep the named
indexes up to date as rows are appended."""
...
def with_writer_config_defaults(self, defaults: Dict[str, str]) -> "LsmWriteSpec":
"""Return a copy of this spec recording the given default
`ShardWriter` configuration in the MemWAL index."""
...
@property
def spec_type(self) -> str:
"""One of 'bucket', 'identity', or 'unsharded'."""
...
@property
def column(self) -> Optional[str]: ...
@property
def num_buckets(self) -> Optional[int]: ...
@property
def maintained_indexes(self) -> List[str]: ...
@property
def writer_config_defaults(self) -> Dict[str, str]: ...
class AddColumnsResult:
version: int
@@ -491,7 +442,7 @@ class AsyncPermutationBuilder:
async def execute(self) -> Table: ...
def async_permutation_builder(
table: Table,
table: Table, dest_table_name: str
) -> AsyncPermutationBuilder: ...
def fts_query_to_json(query: Any) -> str: ...

View File

@@ -2,9 +2,7 @@
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
import asyncio
import os
import threading
import warnings
class BackgroundEventLoop:
@@ -15,9 +13,6 @@ class BackgroundEventLoop:
"""
def __init__(self):
self._start()
def _start(self):
self.loop = asyncio.new_event_loop()
self.thread = threading.Thread(
target=self.loop.run_forever,
@@ -36,30 +31,3 @@ class BackgroundEventLoop:
LOOP = BackgroundEventLoop()
_FORK_WARNED = False
def _reset_after_fork():
# Threads do not survive fork(), so the asyncio loop in LOOP.thread is
# dead in the child. Re-initialize the singleton in place so existing
# `from .background_loop import LOOP` references in other modules see
# the new state. The Rust-side tokio runtime is reset analogously by a
# pthread_atfork hook installed in the _lancedb extension.
LOOP._start()
global _FORK_WARNED
if not _FORK_WARNED:
_FORK_WARNED = True
warnings.warn(
"lancedb fork support is experimental: the internal async "
"runtime has been reset in the forked child, but a small chance "
"of deadlock remains if other state was mid-operation at fork "
"time. The 'forkserver' or 'spawn' multiprocessing start method "
"is likely a safer alternative.",
RuntimeWarning,
stacklevel=2,
)
if hasattr(os, "register_at_fork"):
os.register_at_fork(after_in_child=_reset_after_fork)

View File

@@ -8,17 +8,7 @@ from abc import abstractmethod
from datetime import timedelta
from pathlib import Path
import sys
from typing import (
TYPE_CHECKING,
Any,
Dict,
Generator,
Iterable,
List,
Literal,
Optional,
Union,
)
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Literal, Optional, Union
if sys.version_info >= (3, 12):
from typing import override
@@ -323,7 +313,7 @@ class DBConnection(EnforceOverrides):
>>> data = [{"vector": [1.1, 1.2], "lat": 45.5, "long": -122.7},
... {"vector": [0.2, 1.8], "lat": 40.1, "long": -74.1}]
>>> db.create_table("my_table", data)
LanceTable(name='my_table', ...)
LanceTable(name='my_table', version=1, ...)
>>> db["my_table"].head()
pyarrow.Table
vector: fixed_size_list<item: float>[2]
@@ -344,7 +334,7 @@ class DBConnection(EnforceOverrides):
... "long": [-122.7, -74.1]
... })
>>> db.create_table("table2", data)
LanceTable(name='table2', ...)
LanceTable(name='table2', version=1, ...)
>>> db["table2"].head()
pyarrow.Table
vector: fixed_size_list<item: float>[2]
@@ -367,7 +357,7 @@ class DBConnection(EnforceOverrides):
... pa.field("long", pa.float32())
... ])
>>> db.create_table("table3", data, schema = custom_schema)
LanceTable(name='table3', ...)
LanceTable(name='table3', version=1, ...)
>>> db["table3"].head()
pyarrow.Table
vector: fixed_size_list<item: float>[2]
@@ -401,7 +391,7 @@ class DBConnection(EnforceOverrides):
... pa.field("price", pa.float32()),
... ])
>>> db.create_table("table4", make_batches(), schema=schema)
LanceTable(name='table4', ...)
LanceTable(name='table4', version=1, ...)
"""
raise NotImplementedError
@@ -578,15 +568,15 @@ class LanceDBConnection(DBConnection):
>>> db = lancedb.connect("./.lancedb")
>>> db.create_table("my_table", data=[{"vector": [1.1, 1.2], "b": 2},
... {"vector": [0.5, 1.3], "b": 4}])
LanceTable(name='my_table', ...)
LanceTable(name='my_table', version=1, ...)
>>> db.create_table("another_table", data=[{"vector": [0.4, 0.4], "b": 6}])
LanceTable(name='another_table', ...)
LanceTable(name='another_table', version=1, ...)
>>> sorted(db.table_names())
['another_table', 'my_table']
>>> len(db)
2
>>> db["my_table"]
LanceTable(name='my_table', ...)
LanceTable(name='my_table', version=1, ...)
>>> "my_table" in db
True
>>> db.drop_table("my_table")
@@ -857,20 +847,11 @@ class LanceDBConnection(DBConnection):
)
)
def _all_table_names(self) -> Generator[str, None, None]:
page_token = None
while True:
response = self.list_tables(page_token=page_token)
yield from response.tables
page_token = response.page_token
if not page_token:
return
def __len__(self) -> int:
return sum(1 for _ in self._all_table_names())
return len(self.table_names())
def __contains__(self, name: str) -> bool:
return name in self._all_table_names()
return name in self.table_names()
@override
def create_table(

View File

@@ -63,7 +63,7 @@ def _coerce(value: "ExprLike") -> "Expr":
# Type alias used in annotations.
ExprLike = Union["Expr", bool, int, float, str, bytes]
ExprLike = Union["Expr", bool, int, float, str]
class Expr:
@@ -261,13 +261,13 @@ def col(name: str) -> Expr:
return Expr(expr_col(name))
def lit(value: Union[bool, int, float, str, bytes]) -> Expr:
def lit(value: Union[bool, int, float, str]) -> Expr:
"""Create a literal (constant) value expression.
Parameters
----------
value:
A Python ``bool``, ``int``, ``float``, ``str``, or ``bytes``.
A Python ``bool``, ``int``, ``float``, or ``str``.
Examples
--------

View File

@@ -7,7 +7,6 @@ from typing import Literal, Optional
from ._lancedb import (
IndexConfig,
)
from .types import BaseTokenizerType
lang_mapping = {
"ar": "Arabic",
@@ -112,12 +111,8 @@ class FTS:
- "simple": Splits text by whitespace and punctuation.
- "whitespace": Split text by whitespace, but not punctuation.
- "raw": No tokenization. The entire text is treated as a single token.
- "ngram": N-gram tokenizer for substring-style matching.
- "jieba/*": Jieba tokenizer loaded from Lance's language model home.
- "lindera/*": Lindera tokenizer loaded from Lance's language model home.
language : str, default "English"
The language to use for stemming and stop-word removal. This is not the
primary way to enable CJK tokenization.
The language to use for tokenization.
max_token_length : int, default 40
The maximum token length to index. Tokens longer than this length will be
ignored.
@@ -132,17 +127,10 @@ class FTS:
ascii_folding : bool, default True
Whether to fold ASCII characters. This converts accented characters to
their ASCII equivalent. For example, "café" would be converted to "cafe".
Notes
-----
Model-backed tokenizers such as ``jieba/default`` and ``lindera/ipadic``
require tokenizer models in Lance's language model home. Set
``LANCE_LANGUAGE_MODEL_HOME`` to override the default platform data
directory under ``lance/language_models``.
"""
with_position: bool = False
base_tokenizer: BaseTokenizerType = "simple"
base_tokenizer: Literal["simple", "raw", "whitespace"] = "simple"
language: str = "English"
max_token_length: Optional[int] = 40
lower_case: bool = True
@@ -281,9 +269,6 @@ class HnswPq:
m: int = 20
ef_construction: int = 300
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
@dataclass
@@ -389,103 +374,11 @@ class HnswSq:
m: int = 20
ef_construction: int = 300
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
@dataclass
class HnswFlat:
"""Describe a HNSW-FLAT index configuration.
HNSW-FLAT stands for Hierarchical Navigable Small World without quantization.
It stores raw vectors in the HNSW graph, providing the highest recall among
the IVF_HNSW family at the cost of more memory and disk space compared to
:class:`HnswSq` or :class:`HnswPq`.
Parameters
----------
distance_type: str, default "l2"
The distance metric used to train the index.
The following distance types are available:
"l2" - Euclidean distance. This is a very common distance metric that
accounts for both magnitude and direction when determining the distance
between vectors. l2 distance has a range of [0, ∞).
"cosine" - Cosine distance. Cosine distance is a distance metric
calculated from the cosine similarity between two vectors. Cosine
similarity is a measure of similarity between two non-zero vectors of an
inner product space. It is defined to equal the cosine of the angle
between them. Unlike l2, the cosine distance is not affected by the
magnitude of the vectors. Cosine distance has a range of [0, 2].
"dot" - Dot product. Dot distance is the dot product of two vectors. Dot
distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their
l2 norm is 1), then dot distance is equivalent to the cosine distance.
num_partitions, default sqrt(num_rows)
The number of IVF partitions to create.
For HNSW, we recommend a small number of partitions. Setting this to 1
works well for most tables. For very large tables, training just one HNSW
graph will require too much memory. Each partition becomes its own HNSW
graph, so setting this value higher reduces the peak memory use of
training.
max_iterations, default 50
Max iterations to train kmeans.
When training an IVF index we use kmeans to calculate the partitions.
This parameter controls how many iterations of kmeans to run.
sample_rate, default 256
The rate used to calculate the number of training vectors for kmeans.
m, default 20
The number of neighbors to select for each vector in the HNSW graph.
This value controls the tradeoff between search speed and accuracy.
The higher the value the more accurate the search but the slower it
will be.
ef_construction, default 300
The number of candidates to evaluate during the construction of the HNSW
graph.
This value controls the tradeoff between build speed and accuracy.
The higher the value the more accurate the build but the slower it will
be. 150 to 300 is the typical range. 100 is a minimum for good quality
search results. In most cases, there is no benefit to setting this higher
than 500. This value should be set to a value that is not less than `ef`
in the search phase.
target_partition_size, default is 1,048,576
The target size of each partition.
"""
distance_type: Literal["l2", "cosine", "dot"] = "l2"
num_partitions: Optional[int] = None
max_iterations: int = 50
sample_rate: int = 256
m: int = 20
ef_construction: int = 300
target_partition_size: Optional[int] = None
# Backwards-compatible aliases
IvfHnswPq = HnswPq
IvfHnswSq = HnswSq
IvfHnswFlat = HnswFlat
@dataclass
@@ -585,9 +478,6 @@ class IvfFlat:
max_iterations: int = 50
sample_rate: int = 256
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
@dataclass
@@ -618,9 +508,6 @@ class IvfSq:
max_iterations: int = 50
sample_rate: int = 256
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
@dataclass
@@ -751,9 +638,6 @@ class IvfPq:
max_iterations: int = 50
sample_rate: int = 256
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
@dataclass
@@ -807,9 +691,6 @@ class IvfRq:
max_iterations: int = 50
sample_rate: int = 256
target_partition_size: Optional[int] = None
# Name of the accelerator (e.g. "cuda") to use for IVF training. When set,
# create_index() dispatches to pylance to build the index on the accelerator.
accelerator: Optional[str] = None
__all__ = [
@@ -817,13 +698,11 @@ __all__ = [
"IvfPq",
"IvfHnswPq",
"IvfHnswSq",
"IvfHnswFlat",
"IvfSq",
"IvfRq",
"IvfFlat",
"HnswPq",
"HnswSq",
"HnswFlat",
"IndexConfig",
"FTS",
"Bitmap",

View File

@@ -34,8 +34,6 @@ class LanceMergeInsertBuilder(object):
self._when_not_matched_by_source_condition = None
self._timeout = None
self._use_index = True
self._use_lsm_write = None
self._validate_single_shard = None
def when_matched_update_all(
self, *, where: Optional[str] = None
@@ -98,46 +96,6 @@ class LanceMergeInsertBuilder(object):
self._use_index = use_index
return self
def use_lsm_write(self, use_lsm_write: bool) -> LanceMergeInsertBuilder:
"""
Controls whether the merge uses the MemWAL LSM write path.
By default (unset), a `merge_insert` on a table with an LSM write spec
is routed through Lance's MemWAL shard writer, and a table without one
uses the standard path. Pass `False` to force the standard path even
when a spec is set. Pass `True` to require a spec — `merge_insert`
raises an error if none is installed.
Parameters
----------
use_lsm_write: bool
Whether to use the LSM write path.
"""
self._use_lsm_write = use_lsm_write
return self
def validate_single_shard(
self, validate_single_shard: bool
) -> LanceMergeInsertBuilder:
"""
Controls how an LSM merge checks that its input targets a single shard.
When a table has an LSM write spec, every row in a `merge_insert` call
must route to the same shard. When `True` (the default), every row is
inspected to verify this. When `False`, only the first row is inspected
and the shard it routes to is used for the whole input — a faster path
for callers that have already pre-sharded their input.
Has no effect on tables without an LSM write spec.
Parameters
----------
validate_single_shard: bool
Whether to check every row routes to one shard. Defaults to `True`.
"""
self._validate_single_shard = validate_single_shard
return self
def execute(
self,
new_data: DATA,

View File

@@ -6,44 +6,22 @@
from typing import Optional
_CREATE_NAMESPACE_MODES = frozenset({"create", "exist_ok", "overwrite"})
_DROP_NAMESPACE_MODES = frozenset({"SKIP", "FAIL"})
_DROP_NAMESPACE_BEHAVIORS = frozenset({"RESTRICT", "CASCADE"})
def _normalize_create_namespace_mode(mode: Optional[str]) -> Optional[str]:
"""Normalize create namespace mode to lowercase (API expects lowercase)."""
if mode is None:
return None
normalized = mode.lower()
if normalized not in _CREATE_NAMESPACE_MODES:
raise ValueError(
f"Invalid create namespace mode {mode!r}: "
f"expected one of 'create', 'exist_ok', 'overwrite'"
)
return normalized
return mode.lower()
def _normalize_drop_namespace_mode(mode: Optional[str]) -> Optional[str]:
"""Normalize drop namespace mode to uppercase (API expects uppercase)."""
if mode is None:
return None
normalized = mode.upper()
if normalized not in _DROP_NAMESPACE_MODES:
raise ValueError(
f"Invalid drop namespace mode {mode!r}: expected one of 'skip', 'fail'"
)
return normalized
return mode.upper()
def _normalize_drop_namespace_behavior(behavior: Optional[str]) -> Optional[str]:
"""Normalize drop namespace behavior to uppercase (API expects uppercase)."""
if behavior is None:
return None
normalized = behavior.upper()
if normalized not in _DROP_NAMESPACE_BEHAVIORS:
raise ValueError(
f"Invalid drop namespace behavior {behavior!r}: "
f"expected one of 'restrict', 'cascade'"
)
return normalized
return behavior.upper()

View File

@@ -1,16 +1,15 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
import copy
import json
from deprecation import deprecated
from lancedb import AsyncConnection, DBConnection
import pyarrow as pa
import json
from ._lancedb import async_permutation_builder, PermutationReader
from .table import LanceTable
from .background_loop import LOOP
from .util import batch_to_tensor, batch_to_tensor_rows
from .util import batch_to_tensor, batch_to_tensor_dict, batch_to_tensor_rows
from typing import Any, Callable, Iterator, Literal, Optional, TYPE_CHECKING, Union
if TYPE_CHECKING:
@@ -37,7 +36,10 @@ class PermutationBuilder:
be referenced by name in the future. If names are not provided then they can only
be referenced by their ordinal index. There is no requirement to name every split.
The permutation is stored in memory and will be lost when the program exits.
By default, the permutation will be stored in memory and will be lost when the
program exits. To persist the permutation (for very large datasets or to share
the permutation across multiple workers) use the [persist](#persist) method to
create a permanent table.
"""
def __init__(self, table: LanceTable):
@@ -49,6 +51,15 @@ class PermutationBuilder:
"""
self._async = async_permutation_builder(table)
def persist(
self, database: Union[DBConnection, AsyncConnection], table_name: str
) -> "PermutationBuilder":
"""
Persist the permutation to the given database.
"""
self._async.persist(database, table_name)
return self
def split_random(
self,
*,
@@ -369,44 +380,20 @@ class Permutation:
def __init__(
self,
base_table: LanceTable,
permutation_table: Optional[LanceTable],
split: int,
reader: PermutationReader,
selection: dict[str, str],
batch_size: int,
transform_fn: Callable[pa.RecordBatch, Any],
offset: Optional[int] = None,
limit: Optional[int] = None,
connection_factory: Optional[Callable[[str], LanceTable]] = None,
_reader: Optional[PermutationReader] = None,
):
"""
Internal constructor. Use [from_tables](#from_tables) instead.
"""
assert base_table is not None, "base_table is required"
assert reader is not None, "reader is required"
assert selection is not None, "selection is required"
self.base_table = base_table
self.permutation_table = permutation_table
self.split = split
self.reader = reader
self.selection = selection
self.transform_fn = transform_fn
self.batch_size = batch_size
self.offset = offset
self.limit = limit
self.connection_factory = connection_factory
if _reader is None:
_reader = LOOP.run(self._build_reader())
self.reader: PermutationReader = _reader
async def _build_reader(self) -> PermutationReader:
reader = await PermutationReader.from_tables(
self.base_table, self.permutation_table, self.split
)
if self.offset is not None:
reader = await reader.with_offset(self.offset)
if self.limit is not None:
reader = await reader.with_limit(self.limit)
return reader
def _with_selection(self, selection: dict[str, str]) -> "Permutation":
"""
@@ -415,97 +402,21 @@ class Permutation:
Does not validation of the selection and it replaces it entirely. This is not
intended for public use.
"""
new = copy.copy(self)
new.selection = selection
return new
return Permutation(self.reader, selection, self.batch_size, self.transform_fn)
def _with_reader(self, reader: PermutationReader) -> "Permutation":
"""
Creates a new permutation with the given reader
This is an internal method and should not be used directly.
"""
return Permutation(reader, self.selection, self.batch_size, self.transform_fn)
def with_batch_size(self, batch_size: int) -> "Permutation":
"""
Creates a new permutation with the given batch size
"""
new = copy.copy(self)
new.batch_size = batch_size
return new
def with_connection_factory(
self, connection_factory: Callable[[str], LanceTable]
) -> "Permutation":
"""
Creates a new permutation that will use ``connection_factory`` to reopen
the base table when this permutation is unpickled in a worker process.
The factory is a callable that takes a single argument — the base table
name — and returns a [LanceTable]. It must be picklable; the worker
will pickle it via standard ``pickle`` and call it to recover the base
table. Picklable callables in practice means top-level (module-level)
functions, ``functools.partial`` of such functions, or instances of
picklable classes implementing ``__call__``. Lambdas and closures over
local variables don't pickle with the default protocol.
Setting a factory is necessary when the URI alone is not enough to
re-open the connection — most importantly for LanceDB Cloud (``db://``)
connections, where ``api_key`` and ``region`` aren't recoverable from
the connection object after construction.
For local file or cloud-storage paths the factory is optional: if not
set, ``__getstate__`` falls back to capturing
``(uri, storage_options, namespace_path)`` and re-opening via
``lancedb.connect(uri, storage_options=...)``.
Examples
--------
Basic native (file-system path), parameterized via ``functools.partial``::
import functools, lancedb
from lancedb.permutation import Permutation
def open_native_table(uri: str, table_name: str):
return lancedb.connect(uri).open_table(table_name)
factory = functools.partial(open_native_table, "/data/lance_db")
permutation = Permutation.identity(
factory("training")
).with_connection_factory(factory)
Native via :func:`lancedb.connect_namespace` (e.g. a directory- or
REST-backed namespace client). The factory takes the
implementation name and properties dict as partial-bound args so
the worker can rebuild the same namespace connection::
def open_via_namespace(
impl: str, properties: dict[str, str], table_name: str,
):
return lancedb.connect_namespace(impl, properties).open_table(
table_name,
)
factory = functools.partial(
open_via_namespace,
"dir",
{"root": "/data/lance_db"},
)
LanceDB Cloud, reading credentials from env vars at worker startup
so secrets aren't pickled into the dataset::
import os, lancedb
def open_remote_table(table_name: str):
db = lancedb.connect(
"db://my-database",
api_key=os.environ["LANCEDB_API_KEY"],
region=os.environ.get("LANCEDB_REGION", "us-east-1"),
)
return db.open_table(table_name)
permutation = Permutation.identity(
open_remote_table("training")
).with_connection_factory(open_remote_table)
"""
assert connection_factory is not None, "connection_factory is required"
new = copy.copy(self)
new.connection_factory = connection_factory
return new
return Permutation(self.reader, self.selection, batch_size, self.transform_fn)
@classmethod
def identity(cls, table: LanceTable) -> "Permutation":
@@ -578,126 +489,11 @@ class Permutation:
schema = await reader.output_schema(None)
initial_selection = {name: name for name in schema.names}
return cls(
base_table,
permutation_table,
split,
initial_selection,
DEFAULT_BATCH_SIZE,
Transforms.arrow2python,
_reader=reader,
reader, initial_selection, DEFAULT_BATCH_SIZE, Transforms.arrow2python
)
return LOOP.run(do_from_tables())
def __getstate__(self) -> dict[str, Any]:
"""Build a picklable state dict for this permutation.
The base table is captured either via a user-supplied
``connection_factory`` (see [with_connection_factory]) or, as a
fallback, by introspecting ``(uri, storage_options, namespace_path)``
on the connection. The permutation table — always an in-memory
LanceDB table — is captured as a pyarrow Table (which pickles via
Arrow IPC natively). The reader is dropped from the wire format;
``__setstate__`` rebuilds it from the restored tables.
"""
permutation_data: Optional[pa.Table] = None
if self.permutation_table is not None:
permutation_data = self.permutation_table.to_arrow()
common = {
"base_table_name": self.base_table.name,
"permutation_data": permutation_data,
"split": self.split,
"selection": self.selection,
"batch_size": self.batch_size,
"transform_fn": self.transform_fn,
"offset": self.offset,
"limit": self.limit,
"connection_factory": self.connection_factory,
}
if self.connection_factory is not None:
# The factory carries enough state to recover the base table on
# its own; we don't need to capture the URI / storage options /
# namespace from the existing connection.
return common
# URI-introspection fallback: only viable for native (OSS) connections
# where (uri, storage_options) is enough to reopen. Remote / cloud
# connections don't expose recoverable api_key / region — those users
# must call with_connection_factory().
try:
base_uri = self.base_table._conn.uri
storage_options = self.base_table._conn.storage_options
except AttributeError as e:
raise ValueError(
"Cannot pickle this Permutation: the base table's connection "
"does not expose a uri/storage_options, which usually means it "
"is a remote (LanceDB Cloud) connection. Call "
"Permutation.with_connection_factory(...) first to provide a "
"picklable callable that re-opens the base table from a worker "
"process."
) from e
if base_uri.startswith("memory://"):
# In-memory base tables don't exist in any worker process by
# default, so dump the entire base table into the pickle. This
# can be expensive for large datasets — users with large
# in-memory base tables should either persist them or set a
# connection_factory.
return {
**common,
"base_table_data": self.base_table.to_arrow(),
}
return {
**common,
"base_table_uri": base_uri,
"base_table_namespace": self.base_table._namespace_path,
"base_table_storage_options": storage_options,
}
def __setstate__(self, state: dict[str, Any]) -> None:
from . import connect
connection_factory = state["connection_factory"]
if connection_factory is not None:
base_table = connection_factory(state["base_table_name"])
elif "base_table_data" in state:
# In-memory base table inlined into the pickle; rebuild the same
# way we rebuild the in-memory permutation table.
mem_db = connect("memory://")
base_table = mem_db.create_table(
state["base_table_name"], state["base_table_data"]
)
else:
base_db = connect(
state["base_table_uri"],
storage_options=state["base_table_storage_options"],
)
base_table = base_db.open_table(
state["base_table_name"],
namespace_path=state["base_table_namespace"] or None,
)
permutation_table: Optional[LanceTable] = None
if state["permutation_data"] is not None:
mem_db = connect("memory://")
permutation_table = mem_db.create_table(
"permutation", state["permutation_data"]
)
self.base_table = base_table
self.permutation_table = permutation_table
self.split = state["split"]
self.selection = state["selection"]
self.batch_size = state["batch_size"]
self.transform_fn = state["transform_fn"]
self.offset = state["offset"]
self.limit = state["limit"]
self.connection_factory = connection_factory
self.reader = LOOP.run(self._build_reader())
@property
def schema(self) -> pa.Schema:
async def do_output_schema():
@@ -901,6 +697,7 @@ class Permutation:
"pandas",
"arrow",
"torch",
"torch_row",
"torch_col",
"polars",
],
@@ -916,8 +713,17 @@ class Permutation:
- "python_col" - the batch will be a dict of lists (one entry per column)
- "pandas" - the batch will be a pandas DataFrame
- "arrow" - the batch will be a pyarrow RecordBatch
- "torch" - the batch will be a list of tensors, one per row
- "torch_col" - the batch will be a 2D torch tensor (first dim indexes columns)
- "torch" - a list of per-row dicts whose values are torch tensors. When
used with ``torch.utils.data.DataLoader`` (default collate), each
batch yielded by the loader is ``dict[str, Tensor]`` — one tensor per
column, with column names preserved. This matches HuggingFace
``dataset.set_format("torch")`` semantics.
- "torch_row" - a list of 1-D torch tensors, one per row. Each tensor
stacks all column values into a single row vector and column names
are not preserved. (This was the previous "torch" behavior.)
- "torch_col" - a 2-D torch tensor of shape ``(n_cols, n_rows)``. Column
names are not preserved. Requires ``collate_fn=lambda x: x`` if used
with ``DataLoader``.
- "polars" - the batch will be a polars DataFrame
Conversion may or may not involve a data copy. Lance uses Arrow internally
@@ -945,6 +751,8 @@ class Permutation:
elif format == "arrow":
return self.with_transform(Transforms.arrow2arrow)
elif format == "torch":
return self.with_transform(batch_to_tensor_dict)
elif format == "torch_row":
return self.with_transform(batch_to_tensor_rows)
elif format == "torch_col":
return self.with_transform(batch_to_tensor)
@@ -964,36 +772,24 @@ class Permutation:
for expensive operations such as image decoding.
"""
assert transform is not None, "transform is required"
new = copy.copy(self)
new.transform_fn = transform
return new
def take_offsets(self, offsets: list[int]) -> Any:
"""
Take rows from the permutation by offset
The returned value is passed through the permutation's current transform,
so `with_format` and `with_transform` affect this method in the same way
they affect iteration.
"""
async def do_take_offsets():
return await self.reader.take_offsets(offsets, selection=self.selection)
batch = LOOP.run(do_take_offsets())
return self.transform_fn(batch)
return Permutation(self.reader, self.selection, self.batch_size, transform)
def __getitem__(self, index: int) -> Any:
"""
Returns a single row from the permutation by offset
"""
return self.take_offsets([index])
return self.__getitems__([index])
def __getitems__(self, indices: list[int]) -> Any:
"""
Returns rows from the permutation by offset
"""
return self.take_offsets(indices)
async def do_getitems():
return await self.reader.take_offsets(indices, selection=self.selection)
batch = LOOP.run(do_getitems())
return self.transform_fn(batch)
@deprecated(details="Use with_skip instead")
def skip(self, skip: int) -> "Permutation":
@@ -1011,10 +807,12 @@ class Permutation:
"""
Skip the first `skip` rows of the permutation
"""
new = copy.copy(self)
new.offset = skip
new.reader = LOOP.run(new._build_reader())
return new
async def do_with_skip():
reader = await self.reader.with_offset(skip)
return self._with_reader(reader)
return LOOP.run(do_with_skip())
@deprecated(details="Use with_take instead")
def take(self, limit: int) -> "Permutation":
@@ -1032,10 +830,12 @@ class Permutation:
"""
Limit the permutation to `limit` rows (following any `skip`)
"""
new = copy.copy(self)
new.limit = limit
new.reader = LOOP.run(new._build_reader())
return new
async def do_with_take():
reader = await self.reader.with_limit(limit)
return self._with_reader(reader)
return LOOP.run(do_with_take())
@deprecated(details="Use with_repeat instead")
def repeat(self, times: int) -> "Permutation":

View File

@@ -3,14 +3,12 @@
from __future__ import annotations
import asyncio
from abc import ABC, abstractmethod
from concurrent.futures import ThreadPoolExecutor
from datetime import timedelta
from enum import Enum
from datetime import timedelta
from typing import (
TYPE_CHECKING,
Any,
Dict,
List,
Literal,
@@ -19,40 +17,41 @@ from typing import (
Type,
TypeVar,
Union,
Any,
)
import asyncio
import deprecation
import numpy as np
import pyarrow as pa
import pyarrow.compute as pc
import pydantic
from typing_extensions import Annotated
from lancedb._lancedb import fts_query_to_json
from lancedb.background_loop import LOOP
from lancedb.pydantic import PYDANTIC_VERSION
from lancedb.background_loop import LOOP
from . import __version__
from .arrow import AsyncRecordBatchReader
from .dependencies import pandas as pd
from .expr import Expr
from .rerankers.base import Reranker
from .rerankers.rrf import RRFReranker
from .rerankers.util import check_reranker_result
from .util import flatten_columns
from .expr import Expr
from lancedb._lancedb import fts_query_to_json
from typing_extensions import Annotated
if TYPE_CHECKING:
import sys
import PIL
import polars as pl
from ._lancedb import Query as LanceQuery
from ._lancedb import FTSQuery as LanceFTSQuery
from ._lancedb import HybridQuery as LanceHybridQuery
from ._lancedb import PyQueryRequest
from ._lancedb import Query as LanceQuery
from ._lancedb import TakeQuery as LanceTakeQuery
from ._lancedb import VectorQuery as LanceVectorQuery
from ._lancedb import TakeQuery as LanceTakeQuery
from ._lancedb import PyQueryRequest
from .common import VEC
from .pydantic import LanceModel
from .table import Table
@@ -93,12 +92,6 @@ def ensure_vector_query(
return val
class ColumnOrdering(pydantic.BaseModel):
column_name: str
ascending: bool = True
nulls_first: bool = False
class FullTextQueryType(str, Enum):
MATCH = "match"
MATCH_PHRASE = "match_phrase"
@@ -511,8 +504,6 @@ class Query(pydantic.BaseModel):
# Bypass the vector index and use a brute force search
bypass_vector_index: Optional[bool] = None
order_by: Optional[List[ColumnOrdering]] = None
@classmethod
def from_inner(cls, req: PyQueryRequest) -> Self:
query = cls()
@@ -533,8 +524,6 @@ class Query(pydantic.BaseModel):
query.refine_factor = req.refine_factor
query.bypass_vector_index = req.bypass_vector_index
query.postfilter = req.postfilter
if req.order_by is not None:
query.order_by = [ColumnOrdering(**o) for o in req.order_by]
if req.full_text_search is not None:
query.full_text_query = FullTextSearchQuery(
columns=None,
@@ -583,22 +572,9 @@ class LanceQueryBuilder(ABC):
If "auto", the query type is inferred based on the query.
vector_column_name: str
The name of the vector column to use for vector search.
ordering_field_name: Optional[str]
.. deprecated:: 0.27.0
Use ``order_by()`` method instead.
fts_columns: Optional[Union[str, List[str]]]
The columns to search in for full text search.
fast_search: bool
Skip flat search of unindexed data.
"""
if ordering_field_name is not None:
import warnings
warnings.warn(
"ordering_field_name is deprecated, use .order_by() method instead.",
DeprecationWarning,
stacklevel=2,
)
# Check hybrid search first as it supports empty query pattern
if query_type == "hybrid":
# hybrid fts and vector query
@@ -695,7 +671,6 @@ class LanceQueryBuilder(ABC):
self._text = None
self._ef = None
self._bypass_vector_index = None
self._order_by = None
@deprecation.deprecated(
deprecated_in="0.3.1",
@@ -719,7 +694,6 @@ class LanceQueryBuilder(ABC):
flatten: Optional[Union[int, bool]] = None,
*,
timeout: Optional[timedelta] = None,
**kwargs,
) -> "pd.DataFrame":
"""
Execute the query and return the results as a pandas DataFrame.
@@ -737,12 +711,9 @@ class LanceQueryBuilder(ABC):
timeout: Optional[timedelta]
The maximum time to wait for the query to complete.
If None, wait indefinitely.
**kwargs
Forwarded to pyarrow.Table.to_pandas after query execution and
optional flattening.
"""
tbl = flatten_columns(self.to_arrow(timeout=timeout), flatten)
return tbl.to_pandas(**kwargs)
return tbl.to_pandas()
@abstractmethod
def to_arrow(self, *, timeout: Optional[timedelta] = None) -> pa.Table:
@@ -976,24 +947,6 @@ class LanceQueryBuilder(ABC):
""" # noqa: E501
return self._table._explain_plan(self.to_query_object(), verbose=verbose)
def order_by(self, ordering: Optional[List[ColumnOrdering]]) -> Self:
"""
Set the ordering for the results.
Parameters
----------
ordering: Optional[List[ColumnOrdering]]
The ordering to use for the results. If None, then the default ordering
will be used.
Returns
-------
LanceQueryBuilder
The LanceQueryBuilder object.
"""
self._order_by = ordering
return self
def analyze_plan(self) -> str:
"""
Run the query and return its execution plan with runtime metrics.
@@ -1361,7 +1314,6 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
fast_search=self._fast_search,
ef=self._ef,
bypass_vector_index=self._bypass_vector_index,
order_by=self._order_by,
)
def to_batches(
@@ -1513,9 +1465,7 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
super().__init__(table)
self._query = query
self._phrase_query = False
# Deprecated compatibility parameter. Native FTS ordering is now
# configured through order_by(); LanceQueryBuilder.create emits the warning.
_ = ordering_field_name
self.ordering_field_name = ordering_field_name
self._reranker = None
self._fast_search = fast_search
if isinstance(fts_columns, str):
@@ -1564,7 +1514,6 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
),
offset=self._offset,
fast_search=self._fast_search,
order_by=self._order_by,
)
def output_schema(self) -> pa.Schema:
@@ -1630,7 +1579,6 @@ class LanceEmptyQueryBuilder(LanceQueryBuilder):
limit=self._limit,
with_row_id=self._with_row_id,
offset=self._offset,
order_by=self._order_by,
)
def output_schema(self) -> pa.Schema:
@@ -1695,7 +1643,7 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
def _validate_query(self, query, vector=None, text=None):
if query is not None and (vector is not None or text is not None):
raise ValueError(
"You can either provide a string query in search() method "
"You can either provide a string query in search() method"
"or set `vector()` and `text()` explicitly for hybrid search."
"But not both."
)
@@ -2357,7 +2305,6 @@ class AsyncQueryBase(object):
self,
flatten: Optional[Union[int, bool]] = None,
timeout: Optional[timedelta] = None,
**kwargs,
) -> "pd.DataFrame":
"""
Execute the query and collect the results into a pandas DataFrame.
@@ -2390,13 +2337,10 @@ class AsyncQueryBase(object):
The maximum time to wait for the query to complete.
If not specified, no timeout is applied. If the query does not
complete within the specified time, an error will be raised.
**kwargs
Forwarded to pyarrow.Table.to_pandas after query execution and
optional flattening.
"""
return (
flatten_columns(await self.to_arrow(timeout=timeout), flatten)
).to_pandas(**kwargs)
).to_pandas()
async def to_polars(
self,
@@ -2558,27 +2502,6 @@ class AsyncStandardQuery(AsyncQueryBase):
self._inner.offset(offset)
return self
def order_by(self, ordering: Optional[List[ColumnOrdering]]) -> Self:
"""
Set the ordering for the results.
Parameters
----------
ordering: Optional[List[ColumnOrdering]]
The ordering to use for the results. If None, then the default ordering
will be used.
"""
if ordering is None:
self._inner.order_by(None)
else:
self._inner.order_by(
[
o.model_dump() if hasattr(o, "model_dump") else o.dict()
for o in ordering
]
)
return self
def fast_search(self) -> Self:
"""
Skip searching un-indexed data.
@@ -3349,18 +3272,16 @@ class BaseQueryBuilder(object):
If not specified, no timeout is applied. If the query does not
complete within the specified time, an error will be raised.
"""
async_reader = LOOP.run(
self._inner.to_batches(max_batch_length=max_batch_length, timeout=timeout)
)
async_iter = LOOP.run(self._inner.execute(max_batch_length, timeout))
def iter_sync():
try:
while True:
yield LOOP.run(async_reader.__anext__())
yield LOOP.run(async_iter.__anext__())
except StopAsyncIteration:
return
return pa.RecordBatchReader.from_batches(async_reader.schema, iter_sync())
return pa.RecordBatchReader.from_batches(async_iter.schema, iter_sync())
def to_arrow(self, timeout: Optional[timedelta] = None) -> pa.Table:
"""
@@ -3400,7 +3321,6 @@ class BaseQueryBuilder(object):
self,
flatten: Optional[Union[int, bool]] = None,
timeout: Optional[timedelta] = None,
**kwargs,
) -> "pd.DataFrame":
"""
Execute the query and collect the results into a pandas DataFrame.
@@ -3433,11 +3353,8 @@ class BaseQueryBuilder(object):
The maximum time to wait for the query to complete.
If not specified, no timeout is applied. If the query does not
complete within the specified time, an error will be raised.
**kwargs
Forwarded to pyarrow.Table.to_pandas after query execution and
optional flattening.
"""
return LOOP.run(self._inner.to_pandas(flatten, timeout, **kwargs))
return LOOP.run(self._inner.to_pandas(flatten, timeout))
def to_polars(
self,

View File

@@ -50,7 +50,6 @@ class RemoteDBConnection(DBConnection):
connection_timeout: Optional[float] = None,
read_timeout: Optional[float] = None,
storage_options: Optional[Dict[str, str]] = None,
read_consistency_interval: Optional[timedelta] = None,
):
"""Connect to a remote LanceDB database."""
if isinstance(client_config, dict):
@@ -104,7 +103,6 @@ class RemoteDBConnection(DBConnection):
host_override=host_override,
client_config=client_config,
storage_options=storage_options,
read_consistency_interval=read_consistency_interval,
)
)

View File

@@ -2,24 +2,11 @@
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
from datetime import timedelta
import deprecation
import logging
from functools import cached_property
from typing import (
Any,
Callable,
Dict,
Iterable,
List,
Optional,
Union,
Literal,
overload,
)
from typing import Any, Callable, Dict, Iterable, List, Optional, Union, Literal
import warnings
from lancedb import __version__
from lancedb._lancedb import (
AddColumnsResult,
AddResult,
@@ -27,7 +14,6 @@ from lancedb._lancedb import (
DeleteResult,
DropColumnsResult,
IndexConfig,
LsmWriteSpec,
MergeResult,
UpdateResult,
)
@@ -36,7 +22,6 @@ from lancedb.index import (
FTS,
BTree,
Bitmap,
HnswFlat,
HnswSq,
IvfFlat,
IvfPq,
@@ -45,7 +30,6 @@ from lancedb.index import (
LabelList,
)
from lancedb.remote.db import LOOP
from lancedb.table import IndexConfigType, KNOWN_METRICS
import pyarrow as pa
from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
@@ -54,8 +38,7 @@ from lancedb.embeddings import EmbeddingFunctionRegistry
from lancedb.table import _normalize_progress
from ..query import LanceVectorQueryBuilder, LanceQueryBuilder, LanceTakeQueryBuilder
from ..table import AsyncTable, BlobMode, IndexStatistics, Query, Table, Tags
from ..types import BaseTokenizerType
from ..table import AsyncTable, IndexStatistics, Query, Table, Tags
class RemoteTable(Table):
@@ -115,7 +98,7 @@ class RemoteTable(Table):
"""to_arrow() is not yet supported on LanceDB cloud."""
raise NotImplementedError("to_arrow() is not yet supported on LanceDB cloud.")
def to_pandas(self, blob_mode: BlobMode = "lazy", **kwargs):
def to_pandas(self):
"""to_pandas() is not yet supported on LanceDB cloud."""
raise NotImplementedError("to_pandas() is not yet supported on LanceDB cloud.")
@@ -136,11 +119,6 @@ class RemoteTable(Table):
"""List all the stats of a specified index"""
return LOOP.run(self._table.index_stats(index_uuid))
@deprecation.deprecated(
deprecated_in="0.25.0",
current_version=__version__,
details="Use create_index() with config=BTree()/Bitmap()/LabelList() instead.",
)
def create_scalar_index(
self,
column: str,
@@ -150,12 +128,7 @@ class RemoteTable(Table):
wait_timeout: Optional[timedelta] = None,
name: Optional[str] = None,
):
"""Creates a scalar index.
.. deprecated:: 0.25.0
Use :meth:`create_index` with a BTree, Bitmap, or LabelList config instead.
Example: ``table.create_index("column", config=BTree())``
"""Creates a scalar index
Parameters
----------
column : str
@@ -186,11 +159,6 @@ class RemoteTable(Table):
)
)
@deprecation.deprecated(
deprecated_in="0.25.0",
current_version=__version__,
details="Use create_index() with config=FTS() instead.",
)
def create_fts_index(
self,
column: str,
@@ -199,7 +167,7 @@ class RemoteTable(Table):
wait_timeout: Optional[timedelta] = None,
with_position: bool = False,
# tokenizer configs:
base_tokenizer: BaseTokenizerType = "simple",
base_tokenizer: str = "simple",
language: str = "English",
max_token_length: Optional[int] = 40,
lower_case: bool = True,
@@ -211,12 +179,6 @@ class RemoteTable(Table):
prefix_only: bool = False,
name: Optional[str] = None,
):
"""Create a full-text search index on a column.
.. deprecated:: 0.25.0
Use :meth:`create_index` with an FTS config instead.
Example: ``table.create_index("text_column", config=FTS())``
"""
config = FTS(
with_position=with_position,
base_tokenizer=base_tokenizer,
@@ -240,43 +202,9 @@ class RemoteTable(Table):
)
)
# New unified API overload
@overload
def create_index(
self,
column: str,
/,
*,
config: IndexConfigType,
wait_timeout: Optional[timedelta] = ...,
name: Optional[str] = ...,
train: bool = ...,
) -> None: ...
# Legacy API overload (deprecated)
@overload
def create_index(
self,
metric: Literal["l2", "cosine", "dot", "hamming"] = ...,
vector_column_name: str = ...,
index_cache_size: Optional[int] = ...,
num_partitions: Optional[int] = ...,
num_sub_vectors: Optional[int] = ...,
replace: Optional[bool] = ...,
accelerator: Optional[str] = ...,
index_type: Literal[
"VECTOR", "IVF_FLAT", "IVF_SQ", "IVF_PQ", "IVF_HNSW_SQ", "IVF_HNSW_PQ"
] = ...,
wait_timeout: Optional[timedelta] = ...,
*,
num_bits: int = ...,
name: Optional[str] = ...,
train: bool = ...,
) -> None: ...
def create_index(
self,
metric: str = "l2",
metric="l2",
vector_column_name: str = VECTOR_COLUMN_NAME,
index_cache_size: Optional[int] = None,
num_partitions: Optional[int] = None,
@@ -287,113 +215,87 @@ class RemoteTable(Table):
wait_timeout: Optional[timedelta] = None,
*,
num_bits: int = 8,
config: Optional[IndexConfigType] = None,
name: Optional[str] = None,
train: bool = True,
):
"""Create an index on a column.
"""Create an index on the table.
This method supports both the new unified API and the legacy API
for backwards compatibility. The new API takes the column name as the
first positional argument and an index configuration object via
``config``; the legacy API takes the distance metric as the first
argument plus separate ``vector_column_name`` / ``num_partitions`` /
etc. parameters, and emits a ``DeprecationWarning``.
Parameters
----------
metric : str
The metric to use for the index. Default is "l2".
vector_column_name : str
The name of the vector column. Default is "vector".
Examples
--------
New API (recommended):
>>> table.create_index( # doctest: +SKIP
... "vector", config=IvfPq(distance_type="l2")
>>> import lancedb
>>> import uuid
>>> from lancedb.schema import vector
>>> db = lancedb.connect("db://...", api_key="...", # doctest: +SKIP
... region="...") # doctest: +SKIP
>>> table_name = uuid.uuid4().hex
>>> schema = pa.schema(
... [
... pa.field("id", pa.uint32(), False),
... pa.field("vector", vector(128), False),
... pa.field("s", pa.string(), False),
... ]
... )
>>> table.create_index("category", config=BTree()) # doctest: +SKIP
>>> table.create_index("content", config=FTS()) # doctest: +SKIP
Legacy API (deprecated):
>>> table.create_index( # doctest: +SKIP
... "l2", vector_column_name="vector"
>>> table = db.create_table( # doctest: +SKIP
... table_name, # doctest: +SKIP
... schema=schema, # doctest: +SKIP
... )
>>> table.create_index("l2", "vector") # doctest: +SKIP
"""
# Detect whether this is a legacy API call
is_legacy = self._is_legacy_create_index_call(
metric,
config,
num_partitions,
num_sub_vectors,
vector_column_name,
accelerator,
index_cache_size,
replace,
)
if is_legacy:
warnings.warn(
"The create_index() API with metric/num_partitions parameters is "
"deprecated and will be removed in a future version. "
"Please migrate to the new unified API:\n"
" # Old (deprecated):\n"
" table.create_index('l2', vector_column_name='my_vector')\n"
" # New (recommended):\n"
" table.create_index('my_vector', config=IvfPq(distance_type='l2'))",
DeprecationWarning,
stacklevel=2,
if accelerator is not None:
logging.warning(
"GPU accelerator is not yet supported on LanceDB cloud."
"If you have 100M+ vectors to index,"
"please contact us at contact@lancedb.com"
)
if replace is not None:
logging.warning(
"replace is not supported on LanceDB cloud."
"Existing indexes will always be replaced."
)
column = vector_column_name
if accelerator is not None:
logging.warning(
"GPU accelerator is not yet supported on LanceDB cloud."
"If you have 100M+ vectors to index,"
"please contact us at contact@lancedb.com"
)
if replace is not None:
logging.warning(
"replace is not supported on LanceDB cloud."
"Existing indexes will always be replaced."
)
idx_type = index_type.upper()
if idx_type == "VECTOR" or idx_type == "IVF_PQ":
config = IvfPq(
distance_type=metric,
num_partitions=num_partitions,
num_sub_vectors=num_sub_vectors,
num_bits=num_bits,
)
elif idx_type == "IVF_RQ":
config = IvfRq(
distance_type=metric,
num_partitions=num_partitions,
num_bits=num_bits,
)
elif idx_type == "IVF_SQ":
config = IvfSq(distance_type=metric, num_partitions=num_partitions)
elif idx_type == "IVF_HNSW_PQ":
raise ValueError(
"IVF_HNSW_PQ is not supported on LanceDB cloud."
"Please use IVF_HNSW_SQ instead."
)
elif idx_type == "IVF_HNSW_SQ":
config = HnswSq(distance_type=metric, num_partitions=num_partitions)
elif idx_type == "IVF_HNSW_FLAT":
config = HnswFlat(distance_type=metric, num_partitions=num_partitions)
elif idx_type == "IVF_FLAT":
config = IvfFlat(distance_type=metric, num_partitions=num_partitions)
else:
raise ValueError(
f"Unknown vector index type: {idx_type}. Valid options are"
" 'IVF_FLAT', 'IVF_PQ', 'IVF_RQ', 'IVF_SQ',"
" 'IVF_HNSW_PQ', 'IVF_HNSW_SQ', 'IVF_HNSW_FLAT'"
)
index_type = index_type.upper()
if index_type == "VECTOR" or index_type == "IVF_PQ":
config = IvfPq(
distance_type=metric,
num_partitions=num_partitions,
num_sub_vectors=num_sub_vectors,
num_bits=num_bits,
)
elif index_type == "IVF_RQ":
config = IvfRq(
distance_type=metric,
num_partitions=num_partitions,
num_bits=num_bits,
)
elif index_type == "IVF_SQ":
config = IvfSq(distance_type=metric, num_partitions=num_partitions)
elif index_type == "IVF_HNSW_PQ":
raise ValueError(
"IVF_HNSW_PQ is not supported on LanceDB cloud."
"Please use IVF_HNSW_SQ instead."
)
elif index_type == "IVF_HNSW_SQ":
config = HnswSq(distance_type=metric, num_partitions=num_partitions)
elif index_type == "IVF_FLAT":
config = IvfFlat(distance_type=metric, num_partitions=num_partitions)
else:
column = metric
raise ValueError(
f"Unknown vector index type: {index_type}. Valid options are"
" 'IVF_FLAT', 'IVF_PQ', 'IVF_RQ', 'IVF_SQ',"
" 'IVF_HNSW_PQ', 'IVF_HNSW_SQ'"
)
LOOP.run(
self._table.create_index(
column,
vector_column_name,
config=config,
wait_timeout=wait_timeout,
name=name,
@@ -401,37 +303,6 @@ class RemoteTable(Table):
)
)
def _is_legacy_create_index_call(
self,
first_arg: str,
config: Optional[IndexConfigType],
num_partitions: Optional[int],
num_sub_vectors: Optional[int],
vector_column_name: str,
accelerator: Optional[str],
index_cache_size: Optional[int],
replace: Optional[bool],
) -> bool:
"""Detect if this is a legacy create_index call."""
if config is not None:
return False
if any(
x is not None
for x in (
num_partitions,
num_sub_vectors,
accelerator,
index_cache_size,
replace,
)
):
return True
if vector_column_name != VECTOR_COLUMN_NAME:
return True
if first_arg.lower() in KNOWN_METRICS:
return True
return False
def add(
self,
data: DATA,
@@ -780,22 +651,6 @@ class RemoteTable(Table):
def drop_columns(self, columns: Iterable[str]) -> DropColumnsResult:
return LOOP.run(self._table.drop_columns(columns))
def set_unenforced_primary_key(self, columns: Union[str, Iterable[str]]) -> None:
"""Not supported on LanceDB Cloud."""
return LOOP.run(self._table.set_unenforced_primary_key(columns))
def set_lsm_write_spec(self, spec: "LsmWriteSpec") -> None:
"""Not supported on LanceDB Cloud."""
return LOOP.run(self._table.set_lsm_write_spec(spec))
def unset_lsm_write_spec(self) -> None:
"""Not supported on LanceDB Cloud."""
return LOOP.run(self._table.unset_lsm_write_spec())
def close_lsm_writers(self) -> None:
"""No-op on LanceDB Cloud (no local shard writers)."""
return LOOP.run(self._table.close_lsm_writers())
def drop_index(self, index_name: str):
return LOOP.run(self._table.drop_index(index_name))

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