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6 Commits

Author SHA1 Message Date
Yang Cen ef752c2e3f Merge remote-tracking branch 'origin/main' into yang/udf-secret-api 2026-08-28 08:13:12 +08:00
Yang Cen 0f6a355593 Merge remote-tracking branch 'origin/main' into yang/udf-secret-api 2026-08-28 07:46:10 +08:00
Yang Cen a6ec35502a fix(functions): complete secret validation parity 2026-08-28 00:09:04 +08:00
Yang Cen a0bb1f7597 fix(functions): harden Rust secret submissions 2026-08-27 23:03:27 +08:00
Yang Cen 2562e117b2 fix(functions): harden UDF secret submissions 2026-08-27 21:52:31 +08:00
Yang Cen 134a265ee2 feat(functions): support UDF secret values 2026-08-27 20:58:53 +08:00
64 changed files with 12643 additions and 3006 deletions
+1 -1
View File
@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.38.0"
current_version = "0.38.0-beta.11"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.
-24
View File
@@ -44,27 +44,3 @@ updates:
python-deps:
patterns:
- "*"
# The npm ecosystem covers pnpm lockfiles. There are two separate installs:
# the bindings themselves and the examples, which have their own lockfile.
# As with cargo and pip above, only bump the lockfile — the version ranges
# in package.json are our consumers' constraints, not ours.
- package-ecosystem: npm
directory: /nodejs
schedule:
interval: weekly
versioning-strategy: lockfile-only
groups:
nodejs-deps:
patterns:
- "*"
- package-ecosystem: npm
directory: /nodejs/examples
schedule:
interval: weekly
versioning-strategy: lockfile-only
groups:
nodejs-examples-deps:
patterns:
- "*"
+4 -10
View File
@@ -29,14 +29,12 @@ jobs:
steps:
- uses: actions/setup-node@v6
with:
node-version: "24"
- uses: pnpm/action-setup@v6
with:
version: 11.1.1
node-version: "18"
# These rules are disabled because Github will always ensure there
# is a blank line between the title and the body and Github will
# word wrap the description field to ensure a reasonable max line
# length.
- run: npm install @commitlint/config-conventional
- run: >
echo 'module.exports = {
"rules": {
@@ -45,11 +43,7 @@ jobs:
"body-leading-blank": [0, "always"]
}
}' > .commitlintrc.js
- run: >
pnpm dlx
--package @commitlint/cli@21.2.2
--package @commitlint/config-conventional@21.2.2
commitlint --extends @commitlint/config-conventional --verbose <<< $COMMIT_MSG
- run: npx commitlint --extends @commitlint/config-conventional --verbose <<< $COMMIT_MSG
env:
COMMIT_MSG: >
${{ github.event.pull_request.title }}
@@ -60,7 +54,7 @@ jobs:
with:
script: |
const message = `**ACTION NEEDED**
Lance follows the [Conventional Commits specification](https://www.conventionalcommits.org/en/v1.0.0/) for release automation.
The PR title and description are used as the merge commit message.\
+1 -1
View File
@@ -56,7 +56,7 @@ jobs:
uses: lycheeverse/lychee-action@e7477775783ea5526144ba13e8db5eec57747ce8 # v2.9.0
with:
# Restricted to http(s) on purpose. Much of docs/src is generated
# API reference (the js/ tree comes from `pnpm run docs` in nodejs)
# API reference (the js/ tree comes from `npm run docs` in nodejs)
# and the hand-written pages use mkdocstrings cross-references and
# nav-relative paths that only resolve in the site mkdocs builds,
# not in this checkout, so relative links would be reported as
+3 -1
View File
@@ -55,7 +55,9 @@ jobs:
- name: Set up node
uses: actions/setup-node@v6
with:
node-version: 24
node-version: 20
cache: 'npm'
cache-dependency-path: docs/package-lock.json
- name: Install node dependencies
working-directory: nodejs
run: |
+13 -11
View File
@@ -47,8 +47,9 @@ jobs:
version: 11.1.1
- uses: actions/setup-node@v6
with:
# Build on a supported LTS; the matrix job below covers every
# Node version the library claims to support.
# 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
@@ -83,7 +84,7 @@ jobs:
timeout-minutes: 30
strategy:
matrix:
node-version: [ "22", "24", "26" ]
node-version: [ "18", "20" ]
runs-on: "ubuntu-22.04"
defaults:
run:
@@ -100,9 +101,9 @@ jobs:
- uses: actions/setup-node@v6
name: Setup Node.js 24 for build
with:
# Build and install once on a fixed version so the generated docs
# are identical across matrix legs; the tests below then run on each
# supported Node version.
# 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
@@ -151,9 +152,9 @@ jobs:
S3_TEST: "1"
# Newer @smithy/core uses dynamic ESM imports.
NODE_OPTIONS: "--experimental-vm-modules"
# Invoke the installed jest binary directly; the pnpm shim is set up
# against the build-phase Node, not the version selected above.
run: node_modules/.bin/jest --verbose
# Invoke jest directly because pnpm 11 itself requires Node 22+
# while the matrix tests on older Node versions.
run: npx jest --verbose
- name: Test examples
working-directory: ./
env:
@@ -163,7 +164,7 @@ jobs:
run: |
python ci/mock_openai.py &
cd nodejs/examples
node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose
npx jest --testEnvironment jest-environment-node-single-context --verbose
macos:
timeout-minutes: 30
# macos-15 ships a newer linker; the older macos-14 linker fails to insert
@@ -184,7 +185,8 @@ jobs:
version: 11.1.1
- uses: actions/setup-node@v6
with:
# pnpm 11 requires Node >= 22.13.
# 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
+36 -81
View File
@@ -40,31 +40,40 @@ jobs:
- target: aarch64-apple-darwin
host: macos-latest
features: fp16kernels
# Fat LTO was ~111 of this job's ~113 minutes.
lto: thin
codegen_units: 16
pre_build: |-
brew install protobuf
# Fat LTO (the workspace default in .cargo/config.toml) is
# single-threaded and is the peak-memory step of the build. On
# this runner it accounted for ~111 of the job's ~113 minutes,
# making it the critical path of the entire publish pipeline.
# ThinLTO parallelizes it across the runner's cores, for a few
# percent of runtime performance.
export CARGO_PROFILE_RELEASE_LTO=thin
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
- target: x86_64-pc-windows-msvc
host: windows-2025
features: ","
# The lower peak also keeps this on the standard 4-core runner.
lto: thin
codegen_units: 16
pre_build: |-
choco install --no-progress protoc ninja nasm
tail -n 1000 /c/ProgramData/chocolatey/logs/chocolatey.log
# There is an issue where choco doesn't add nasm to the path
export PATH="$PATH:/c/Program Files/NASM"
nasm -v
# See the ThinLTO note on aarch64-apple-darwin above. Keeping
# peak memory down is also what lets this run on the standard
# 4-core runner: the 8-core larger runner was only needed to
# stop fat LTO from OOMing rustc-LLVM.
export CARGO_PROFILE_RELEASE_LTO=thin
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
- target: aarch64-pc-windows-msvc
host: windows-2025
features: ","
lto: thin
codegen_units: 16
pre_build: |-
choco install --no-progress protoc
rustup target add aarch64-pc-windows-msvc
# See the ThinLTO note on aarch64-apple-darwin above.
export CARGO_PROFILE_RELEASE_LTO=thin
export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
- target: x86_64-unknown-linux-gnu
host: ubuntu-latest
features: fp16kernels
@@ -94,14 +103,6 @@ jobs:
# https://github.com/napi-rs/napi-rs/blob/main/debian-aarch64.Dockerfile
docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-debian-aarch64
features: "fp16kernels"
# Fat LTO OOM-killed rustc every nightly; even with lld it peaked
# at 31391 MiB of the runner's 32 GiB.
lto: thin
codegen_units: 16
# arm64 Linux links through GNU `ld` where x86_64 defaults to
# `rust-lld`, which is why only arm64 OOM'd. lld cut the largest
# linker process 7.0 -> 4.0 GiB (lancedb/sophon#7313).
linker: /tmp/aarch64-lld-clang
pre_build: |-
set -e &&
apt-get update &&
@@ -111,30 +112,9 @@ jobs:
# AT_HWCAP2 (added in Linux 3.17). Define it for aws-lc-sys.
export CFLAGS="$CFLAGS -DAT_HWCAP2=26" &&
rustup target add aarch64-unknown-linux-gnu
# Not `&&`-chained: in dash, errexit does not fire for a
# non-final command in an `&&` list, so failures were ignored.
#
# A wrapper rather than `-C link-arg` because the per-target
# rustflags variable does not reach every unit that links, while
# the linker variable does. `clang` because GCC silently ignores
# `-fuse-ld=lld` unless built with lld support. Two echoes
# because printf's newline escape gets rewritten to `;` between
# here and the container.
echo '#!/bin/sh' > /tmp/aarch64-lld-clang
echo 'exec clang --target=aarch64-unknown-linux-gnu --sysroot=/usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot --gcc-toolchain=/usr/aarch64-unknown-linux-gnu -fuse-ld=lld "$@"' >> /tmp/aarch64-lld-clang
chmod 0755 /tmp/aarch64-lld-clang
# Fail now, not at the cdylib link ~30 minutes later. Linking at
# all also proves lld resolved; clang errors out when it cannot.
echo 'int main(void){return 0;}' > /tmp/probe.c
/tmp/aarch64-lld-clang /tmp/probe.c -o /tmp/probe
readelf -h /tmp/probe | grep AArch64
- target: aarch64-unknown-linux-musl
host: ubuntu-2404-8x-x64
features: ","
# Fat LTO took the whole runner down. lld cannot help: it died
# inside rustc's LLVM, before any linker was spawned.
lto: thin
codegen_units: 16
pre_build: |-
set -e &&
sudo apt-get update &&
@@ -143,19 +123,6 @@ jobs:
export EXTRA_ARGS="-x"
name: build - ${{ matrix.settings.target }}
runs-on: ${{ matrix.settings.host }}
# On the job, not exported from `pre_build`: `Swatinem/rust-cache` hashes
# `CARGO_*` into its cache key before any step runs, so a step-local export
# leaves the key unchanged while cargo still rebuilds cold. The ThinLTO
# legs had been doing that every run.
#
# Not `RUSTFLAGS`: setting it, even to "", discards every config-file
# rustflag, silently dropping .cargo/config.toml's `target-cpu` and
# `target-feature` from the published binaries.
env:
CARGO_PROFILE_RELEASE_LTO: ${{ matrix.settings.lto || 'fat' }}
CARGO_PROFILE_RELEASE_CODEGEN_UNITS: ${{ matrix.settings.codegen_units || '1' }}
# Empty elsewhere: a per-target variable is only read for that triple.
CARGO_TARGET_AARCH64_UNKNOWN_LINUX_GNU_LINKER: ${{ matrix.settings.linker }}
defaults:
run:
working-directory: nodejs
@@ -168,7 +135,8 @@ jobs:
- name: Setup node
uses: actions/setup-node@v6
with:
# pnpm 11 requires Node >= 22.13.
# 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
@@ -201,15 +169,19 @@ jobs:
# creating ref). The nightly cadence also keeps entries inside
# GitHub's 7-day eviction window, which a tag-only trigger would not.
save-if: ${{ github.ref == 'refs/heads/main' }}
# Docker builds can use rust-cache too: the workspace is bind-mounted, so
# `target/` lives on the host and rust-cache's prune keeps the entry
# small.
# Docker builds can use rust-cache too. `target/` already lives on the
# host because the whole workspace is bind-mounted into the container, and
# rust-cache's prune and save run host-side, so they can manage it -- which
# is what keeps the entry to dependency artifacts rather than a multi-GB
# copy of everything.
#
# Two differences from the native builds. The container's CARGO_HOME is
# bind-mounted from `.cargo-cache` rather than ~/.cargo, so that is cached
# explicitly. And the key uses the *host* rustc version, not the compiler
# that built these artifacts -- safe, since cargo fingerprints the real
# one; a base-image bump just costs one cold build.
# bind-mounted from `.cargo-cache` rather than the host's ~/.cargo, so that
# has to be cached explicitly. And the key is derived from the *host* rustc
# version, which is not the compiler that produced these artifacts; that is
# safe because cargo fingerprints the real compiler and rebuilds on a
# mismatch, it just means a base-image toolchain bump costs one cold build
# instead of invalidating the key.
- name: Cache cargo (docker builds)
uses: Swatinem/rust-cache@v2
if: ${{ matrix.settings.docker }}
@@ -238,19 +210,14 @@ jobs:
# cache step above saves. Previously the registry mounts pointed at
# `.cargo/...`, a path nothing cached, so the container re-downloaded
# the whole crate registry on every run.
#
# `docker run` inherits nothing; `-e NAME` carries the job's `env:` in.
options: "--user 0:0 -v ${{ github.workspace }}/.cargo-cache/git/db:/usr/local/cargo/git/db \
-v ${{ github.workspace }}/.cargo-cache/registry/cache:/usr/local/cargo/registry/cache \
-v ${{ github.workspace }}/.cargo-cache/registry/index:/usr/local/cargo/registry/index \
-e CARGO_PROFILE_RELEASE_LTO \
-e CARGO_PROFILE_RELEASE_CODEGEN_UNITS \
-e CARGO_TARGET_AARCH64_UNKNOWN_LINUX_GNU_LINKER \
-v ${{ github.workspace }}:/build -w /build/nodejs"
run: |
set -e
${{ matrix.settings.pre_build }}
node_modules/.bin/napi build --platform --release \
npx napi build --platform --release \
--features ${{ matrix.settings.features }} \
--target ${{ matrix.settings.target }} \
--dts ../lancedb/native.d.ts \
@@ -270,7 +237,7 @@ jobs:
- name: Build
run: |
${{ matrix.settings.pre_build }}
node_modules/.bin/napi build --platform --release \
npx napi build --platform --release \
--features ${{ matrix.settings.features }} \
--target ${{ matrix.settings.target }} \
--dts ../lancedb/native.d.ts \
@@ -289,18 +256,6 @@ jobs:
if: always()
run: df -h
shell: bash
- name: Report peak memory
if: always() && runner.os == 'Linux'
shell: bash
run: |
peak=$(find /sys/fs/cgroup -name memory.peak -readable \
-exec cat {} + 2>/dev/null | sort -n | tail -1)
if [ -n "$peak" ]; then
echo "peak memory: $((peak / 1024 / 1024)) MiB"
else
echo "peak memory: unavailable (no readable cgroup v2 memory.peak)"
fi
free -g || true
- name: Upload artifact
uses: actions/upload-artifact@v7
with:
@@ -338,7 +293,7 @@ jobs:
- target: aarch64-unknown-linux-gnu
host: ubuntu-2404-8x-arm64
node:
- '22'
- '20'
runs-on: ${{ matrix.settings.host }}
defaults:
run:
@@ -384,9 +339,9 @@ jobs:
- name: Move built files
run: cp dist/native.d.ts dist/native.js dist/*.node lancedb/
- name: Test bindings
# Invoke the installed jest binary directly; the pnpm shim is set up
# against the install-phase Node, not the version selected above.
run: node_modules/.bin/jest --verbose
# Invoke jest directly because pnpm 11 itself requires Node 22+
# while the matrix tests on older Node versions.
run: npx jest --verbose
publish:
name: Publish
runs-on: ubuntu-latest
@@ -0,0 +1,22 @@
name: Update package-lock.json
on:
workflow_dispatch:
permissions:
contents: read
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
with:
ref: main
persist-credentials: false
fetch-depth: 0
lfs: true
- uses: ./.github/workflows/update_package_lock
with:
github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
@@ -0,0 +1,22 @@
name: Update NodeJs package-lock.json
on:
workflow_dispatch:
permissions:
contents: read
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
with:
ref: main
persist-credentials: false
fetch-depth: 0
lfs: true
- uses: ./.github/workflows/update_package_lock_nodejs
with:
github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
+1 -4
View File
@@ -20,10 +20,7 @@ repos:
hooks:
- id: local-biome-check
name: biome check
# Use the biome from nodejs/package.json rather than a separately
# pinned one: the two drifted apart and disagreed on formatting, so
# this hook rejected code that `pnpm lint` accepted.
entry: nodejs/node_modules/.bin/biome check --config-path nodejs/biome.json nodejs/
entry: npx @biomejs/biome@1.8.3 check --config-path nodejs/biome.json nodejs/
language: system
types: [text]
files: "nodejs/.*"
+3 -3
View File
@@ -38,7 +38,7 @@ Before committing changes, run formatting for every language you touched. At min
* 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 `pnpm` lint, format, build, and docs commands in `nodejs`.
* 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`
@@ -101,12 +101,12 @@ Python bindings changes:
TypeScript bindings changes:
1. Add napi-rs method binding on `Table` in `nodejs/src/table.rs`.
2. Run `pnpm build` to generate TypeScript definitions.
2. Run `npm run build` to generate TypeScript definitions.
3. Add typescript method on abstract class `Table` in `nodejs/src/table.ts`.
4. Add concrete method on `LocalTable` class in `nodejs/src/native_table.ts`.
* Note: despite the name, this class is also used for remote tables.
5. Add test in `nodejs/__test__/table.test.ts`.
6. Run `pnpm run docs` to generate TypeScript documentation.
6. Run `npm run docs` to generate TypeScript documentation.
## Python API reference
Generated
+47 -70
View File
@@ -1597,9 +1597,9 @@ checksum = "613afe47fcd5fac7ccf1db93babcb082c5994d996f20b8b159f2ad1658eb5724"
[[package]]
name = "chacha20"
version = "0.10.2"
version = "0.10.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "65c35e4b699c7e15ccbe7ee35c005e4fc0a278d22238a2857e6ce2dadeda1b06"
checksum = "6f8d983286843e49675a4b7a2d174efe136dc93a18d69130dd18198a6c167601"
dependencies = [
"cfg-if 1.0.4",
"cpufeatures 0.3.0",
@@ -3455,9 +3455,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
[[package]]
name = "fsst"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f727719438dfdb74f358a347c91ff81b6e7084a6421f34de3e473ce271f10caa"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"rand 0.9.5",
@@ -4816,9 +4815,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"
[[package]]
name = "lance"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "be781f40c7a75f9eae2188a2f71174acb7a360dca97163db40b041d0828dea48"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arc-swap",
"arrow",
@@ -4890,9 +4888,8 @@ dependencies = [
[[package]]
name = "lance-arrow"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "fb97fd9875f3036d7c2561aa5b16eb87b80ccabaa4eeb5e6099b19cc662f1cd8"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4914,8 +4911,7 @@ dependencies = [
[[package]]
name = "lance-arrow-scalar"
version = "58.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "771f68b04b47f3addf781116f65061808de94b05e1e9411c23c18f32d14ebe79"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4929,20 +4925,17 @@ dependencies = [
[[package]]
name = "lance-arrow-stats"
version = "58.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "dd47ec33c90bf29f688fd02118e37d3a5ad5c339caa3163f89e417dc0867001f"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-schema",
"half",
"lance-arrow-scalar",
]
[[package]]
name = "lance-bitpacking"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6f45658c5b2dc9aada41b66ee44b83af3fa888b7385ae414bae951b12a9f1cd3"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrayref",
"crunchy",
@@ -4952,9 +4945,8 @@ dependencies = [
[[package]]
name = "lance-core"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "27af3df3a7d08897efccd04461df31cedf0880c4b86a055ddce48e423d27f967"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4991,9 +4983,8 @@ dependencies = [
[[package]]
name = "lance-datafusion"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c377f837df5296e92f9fad724c83c1bef4e74d5af6e5a9312e9307e1dead8614"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"arrow-array",
@@ -5022,9 +5013,8 @@ dependencies = [
[[package]]
name = "lance-datagen"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "778e1a5065fa4bc184e36e32681f10f8f4680ad8cedc9377b4c088dce8c5b8da"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"arrow-array",
@@ -5041,9 +5031,8 @@ dependencies = [
[[package]]
name = "lance-derive"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "13e5e95e0fd3d74f7938f4bee623041421b323b5c61f242c8622a1f48a202527"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"proc-macro2",
"quote",
@@ -5052,9 +5041,8 @@ dependencies = [
[[package]]
name = "lance-encoding"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1625653c55c65f3426e281f6e29b54c603f38a40bd4cebd707bd4f3ea48be6c5"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-arith",
"arrow-array",
@@ -5087,9 +5075,8 @@ dependencies = [
[[package]]
name = "lance-file"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b7e13c9266b478fc98f36ee19347c4658f7a6613fed77778b1a455fe1b88552e"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-arith",
"arrow-array",
@@ -5120,9 +5107,8 @@ dependencies = [
[[package]]
name = "lance-index"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b0e0cb95f2c4f341c4dd04ac60f6a89ea26a6f75e09570225cbda4854c8b088e"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arc-swap",
"arrow",
@@ -5186,9 +5172,8 @@ dependencies = [
[[package]]
name = "lance-index-core"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "79ccd371977c1f7168da259d66ad37154f23146f093d46136bc7f79559f00f2c"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5210,9 +5195,8 @@ dependencies = [
[[package]]
name = "lance-io"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "414d50997391b1ac83dc183c1612fdff88f58b959806078dc4c5e465154566de"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"arrow-array",
@@ -5252,9 +5236,8 @@ dependencies = [
[[package]]
name = "lance-linalg"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "6ff55b152ef23a56d7ba7e4d1b2c9cf0cc79aef6ee607c115597557ea4059f41"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5268,9 +5251,8 @@ dependencies = [
[[package]]
name = "lance-namespace"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "09991c13ab282b731e323619613914e08da9cc82b312f904e58c128b23f2f0e3"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"async-trait",
@@ -5282,9 +5264,8 @@ dependencies = [
[[package]]
name = "lance-namespace-impls"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0ec0bc005f6bb8f120774eb4a9ba02e10463d8338167a46cbb1391d46680a174"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"arrow-ipc",
@@ -5337,9 +5318,8 @@ dependencies = [
[[package]]
name = "lance-select"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e8f676a2a1837cc85b77feb5326d3296827da964e40d67144f646563302a6ce9"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -5353,9 +5333,8 @@ dependencies = [
[[package]]
name = "lance-table"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "bd33054347395048b1d842dfb85a13f7801392c2da5f39425db62f00a481744b"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow",
"arrow-array",
@@ -5395,9 +5374,8 @@ dependencies = [
[[package]]
name = "lance-testing"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ecc9ad9ae24f045dfddd538a39e55a28fa7e1ca6ad9f23e20d4087eaf2bb66f7"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -5410,9 +5388,8 @@ dependencies = [
[[package]]
name = "lance-tokenizer"
version = "11.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3bfa6f0164c8b7056150f5682ce4d415a335b59b04c479873fda04b200117d27"
version = "12.0.0-beta.2"
source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
dependencies = [
"frostem",
"icu_segmenter",
@@ -5425,7 +5402,7 @@ dependencies = [
[[package]]
name = "lancedb"
version = "0.38.0-beta.15"
version = "0.38.0-beta.11"
dependencies = [
"ahash",
"anyhow",
@@ -5513,7 +5490,7 @@ dependencies = [
[[package]]
name = "lancedb-nodejs"
version = "0.38.0-beta.15"
version = "0.38.0-beta.11"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -5538,7 +5515,7 @@ dependencies = [
[[package]]
name = "lancedb-python"
version = "0.38.0-beta.15"
version = "0.38.0-beta.11"
dependencies = [
"arrow",
"async-trait",
+14 -14
View File
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { "version" = "=11.0.0", default-features = false }
lance-core = "=11.0.0"
lance-datagen = "=11.0.0"
lance-file = "=11.0.0"
lance-io = { "version" = "=11.0.0", default-features = false }
lance-index = "=11.0.0"
lance-linalg = "=11.0.0"
lance-namespace = "=11.0.0"
lance-namespace-impls = { "version" = "=11.0.0", default-features = false }
lance-table = "=11.0.0"
lance-testing = "=11.0.0"
lance-datafusion = "=11.0.0"
lance-encoding = "=11.0.0"
lance-arrow = "=11.0.0"
lance = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
lancedb = { path = "rust/lancedb", default-features = false }
ahash = "0.8"
# Note that this one does not include pyarrow
+1 -1
View File
@@ -5,5 +5,5 @@ licenses:
cd python && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
cd python && uv sync --all-extras && uv tool run pip-licenses --python .venv/bin/python --format=markdown --with-urls --output-file=PYTHON_THIRD_PARTY_LICENSES.md
cd nodejs && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
cd nodejs && pnpm dlx license-checker@25 --markdown --out NODEJS_THIRD_PARTY_LICENSES.md
cd nodejs && npx license-checker --markdown --out NODEJS_THIRD_PARTY_LICENSES.md
cd java && ./mvnw license:aggregate-add-third-party -q
+6 -2
View File
@@ -12,12 +12,16 @@ done
# This updates the lockfile without building
cargo metadata --quiet > /dev/null
pushd nodejs || exit 1
npm install --package-lock-only --silent
popd
if git diff --quiet --exit-code; then
echo "No lockfile changes to commit; skipping amend."
elif $AMEND; then
git add Cargo.lock
git add Cargo.lock nodejs/package-lock.json
git commit --amend --no-edit
else
git add Cargo.lock
git add Cargo.lock nodejs/package-lock.json
git commit -m "Update lockfiles"
fi
+11 -1
View File
@@ -131,13 +131,18 @@ allow = [
"BSD-3-Clause",
"ISC",
"Unicode-3.0",
"Unicode-DFS-2016",
"Zlib",
"CC0-1.0",
"MPL-2.0",
"BSL-1.0",
"OpenSSL",
# 0BSD ("BSD Zero Clause") is effectively public domain — no attribution
# required. Pulled in by `mock_instant`.
"0BSD",
# bzip2-1.0.6 is the permissive upstream bzip2 license (BSD-like). Pulled
# in by `libbz2-rs-sys`, the pure-Rust bzip2 implementation.
"bzip2-1.0.6",
# CDLA-Permissive-2.0 is a permissive data license used by `webpki-roots`
# for the Mozilla CA root bundle. Data-only, distribution-compatible.
"CDLA-Permissive-2.0",
@@ -145,7 +150,12 @@ allow = [
confidence-threshold = 0.8
# Per-crate license exceptions: allow a license for a specific crate only,
# rather than globally via the `allow` list above.
exceptions = []
exceptions = [
# CDDL-1.0 (copyleft) is pulled in only as a dev/profiling dependency via
# `inferno` -> `pprof` -> `lance-testing`; it is a test dependency that we
# do not distribute, so scope the allowance to `inferno` alone.
{ allow = ["CDDL-1.0"], crate = "inferno" },
]
# Crates whose license cannot be determined from Cargo metadata but whose
# license we've manually confirmed from upstream. Keep this list minimal.
[[licenses.clarify]]
+8 -11
View File
@@ -47,24 +47,22 @@ pytest -vv python/tests/docs
### Checking typescript examples
The examples depend on `@lancedb/lancedb` at `file:../dist`, so the package must be
built before running the tests. This uses pnpm; see the
[Typescript contributing guide](../nodejs/CONTRIBUTING.md) for the toolchain setup.
The `@lancedb/lancedb` package must be built before running the tests:
```shell
pushd nodejs
pnpm install
pnpm build
npm ci
npm run build
popd
```
Then you can run the examples by going to the `nodejs/examples` directory, which is a
separate pnpm package with its own lockfile:
Then you can run the examples by going to the `nodejs/examples` directory and
running the tests like a normal npm package:
```shell
pushd nodejs/examples
pnpm install
pnpm test
npm ci
npm test
popd
```
@@ -86,7 +84,6 @@ The new files should be checked into the repository.
```shell
pushd nodejs
# `pnpm docs` would invoke pnpm's built-in `docs` command, not the script.
pnpm run docs
npm run docs
popd
```
+135
View File
@@ -0,0 +1,135 @@
{
"name": "lancedb-docs-test",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "lancedb-docs-test",
"version": "1.0.0",
"license": "Apache 2",
"dependencies": {
"apache-arrow": "file:../node/node_modules/apache-arrow",
"vectordb": "file:../node"
},
"devDependencies": {
"@types/node": "^20.11.8",
"typescript": "^5.3.3"
}
},
"../node": {
"name": "vectordb",
"version": "0.21.2-beta.0",
"cpu": [
"x64",
"arm64"
],
"license": "Apache-2.0",
"os": [
"darwin",
"linux",
"win32"
],
"dependencies": {
"@neon-rs/load": "^0.0.74",
"axios": "^1.4.0"
},
"devDependencies": {
"@neon-rs/cli": "^0.0.160",
"@types/chai": "^4.3.4",
"@types/chai-as-promised": "^7.1.5",
"@types/mocha": "^10.0.1",
"@types/node": "^18.16.2",
"@types/sinon": "^10.0.15",
"@types/temp": "^0.9.1",
"@types/uuid": "^9.0.3",
"@typescript-eslint/eslint-plugin": "^5.59.1",
"apache-arrow-old": "npm:apache-arrow@13.0.0",
"cargo-cp-artifact": "^0.1",
"chai": "^4.3.7",
"chai-as-promised": "^7.1.1",
"eslint": "^8.39.0",
"eslint-config-standard-with-typescript": "^34.0.1",
"eslint-plugin-import": "^2.26.0",
"eslint-plugin-n": "^15.7.0",
"eslint-plugin-promise": "^6.1.1",
"mocha": "^10.2.0",
"openai": "^4.24.1",
"sinon": "^15.1.0",
"temp": "^0.9.4",
"ts-node": "^10.9.1",
"ts-node-dev": "^2.0.0",
"typedoc": "^0.24.7",
"typedoc-plugin-markdown": "^3.15.3",
"typescript": "^5.1.0",
"uuid": "^9.0.0"
},
"optionalDependencies": {
"@lancedb/vectordb-darwin-arm64": "0.21.2-beta.0",
"@lancedb/vectordb-darwin-x64": "0.21.2-beta.0",
"@lancedb/vectordb-linux-arm64-gnu": "0.21.2-beta.0",
"@lancedb/vectordb-linux-x64-gnu": "0.21.2-beta.0",
"@lancedb/vectordb-win32-x64-msvc": "0.21.2-beta.0"
},
"peerDependencies": {
"@apache-arrow/ts": "^14.0.2",
"apache-arrow": "^14.0.2"
}
},
"../node/node_modules/apache-arrow": {
"version": "14.0.2",
"license": "Apache-2.0",
"dependencies": {
"@types/command-line-args": "5.2.0",
"@types/command-line-usage": "5.0.2",
"@types/node": "20.3.0",
"@types/pad-left": "2.1.1",
"command-line-args": "5.2.1",
"command-line-usage": "7.0.1",
"flatbuffers": "23.5.26",
"json-bignum": "^0.0.3",
"pad-left": "^2.1.0",
"tslib": "^2.5.3"
},
"bin": {
"arrow2csv": "bin/arrow2csv.js"
}
},
"node_modules/@types/node": {
"version": "20.11.8",
"resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.8.tgz",
"integrity": "sha512-i7omyekpPTNdv4Jb/Rgqg0RU8YqLcNsI12quKSDkRXNfx7Wxdm6HhK1awT3xTgEkgxPn3bvnSpiEAc7a7Lpyow==",
"dev": true,
"dependencies": {
"undici-types": "~5.26.4"
}
},
"node_modules/apache-arrow": {
"resolved": "../node/node_modules/apache-arrow",
"link": true
},
"node_modules/typescript": {
"version": "5.3.3",
"resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz",
"integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==",
"dev": true,
"bin": {
"tsc": "bin/tsc",
"tsserver": "bin/tsserver"
},
"engines": {
"node": ">=14.17"
}
},
"node_modules/undici-types": {
"version": "5.26.5",
"resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
"integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
"dev": true
},
"node_modules/vectordb": {
"resolved": "../node",
"link": true
}
}
}
+20
View File
@@ -0,0 +1,20 @@
{
"name": "lancedb-docs-test",
"version": "1.0.0",
"description": "auto-generated tests from doc",
"author": "dev@lancedb.com",
"license": "Apache 2",
"dependencies": {
"apache-arrow": "file:../node/node_modules/apache-arrow",
"vectordb": "file:../node"
},
"scripts": {
"build": "tsc -b && cd ../node && npm run build-release",
"example": "npm run build && node",
"test": "npm run build && ls dist/*.js | xargs -n 1 node"
},
"devDependencies": {
"@types/node": "^20.11.8",
"typescript": "^5.3.3"
}
}
+1 -1
View File
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
<dependency>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-core</artifactId>
<version>0.38.0</version>
<version>0.38.0-beta.11</version>
</dependency>
```
+17
View File
@@ -0,0 +1,17 @@
{
"include": [
"src/*.ts",
],
"compilerOptions": {
"target": "es2022",
"module": "nodenext",
"declaration": true,
"outDir": "./dist",
"strict": true,
"allowJs": true,
"resolveJsonModule": true,
},
"exclude": [
"./dist/*",
]
}
+1 -1
View File
@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.38.0-final.0</version>
<version>0.38.0-beta.11</version>
<relativePath>../pom.xml</relativePath>
</parent>
+2 -2
View File
@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.38.0-final.0</version>
<version>0.38.0-beta.11</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>11.0.0</lance-core.version>
<lance-core.version>12.0.0-beta.2</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>
+1 -1
View File
@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.38.0"
version = "0.38.0-beta.11"
publish = false
license.workspace = true
description.workspace = true
+2 -2
View File
@@ -5,8 +5,8 @@ import packageJson = require("../package.json");
describe("package metadata", () => {
it("requires Node.js type declarations compatible with the runtime", () => {
expect(packageJson.engines.node).toBe(">= 22");
expect(packageJson.peerDependencies["@types/node"]).toBe(">=22");
expect(packageJson.engines.node).toBe(">= 18");
expect(packageJson.peerDependencies["@types/node"]).toBe(">=18");
expect(packageJson.peerDependenciesMeta["@types/node"]).toEqual({
optional: true,
});
+2 -9
View File
@@ -3,7 +3,6 @@
import * as http from "http";
import { RequestListener } from "http";
import packageJson = require("../package.json");
import {
ClientConfig,
Connection,
@@ -71,13 +70,7 @@ async function withMockDatabase(
try {
await callback(db);
} finally {
// `close()` alone leaves the port bound until keep-alive sockets drain, so
// a single failing test would cascade into EADDRINUSE for every test after
// it. Destroy the connections and wait for the port to actually be free.
await new Promise<void>((resolve) => {
server.closeAllConnections();
server.close(() => resolve());
});
server.close();
}
}
@@ -138,7 +131,7 @@ describe("remote connection", () => {
(req, res) => {
expect(req.headers["x-api-key"]).toEqual("fake");
expect(req.headers["user-agent"]).toEqual(
`LanceDB-Node-Client/${packageJson.version}`,
`LanceDB-Node-Client/${process.env.npm_package_version}`,
);
const body = JSON.stringify({ tables: [] });
+1 -2
View File
@@ -8,8 +8,7 @@
"//1": "--experimental-vm-modules is needed to run jest with sentence-transformers",
"//2": "--testEnvironment is needed to run jest with sentence-transformers",
"//3": "See: https://github.com/huggingface/transformers.js/issues/57",
"//4": "jest is invoked by its JS entry, not node_modules/.bin/jest: under pnpm that path is a shell shim, which `node` cannot execute",
"test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --testEnvironment jest-environment-node-single-context --verbose",
"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",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": [
"win32"
],
+1 -1
View File
@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.38.0",
"version": "0.38.0-beta.11",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",
+11106
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File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.38.0",
"version": "0.38.0-beta.11",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",
@@ -67,7 +67,7 @@
"timeout": "3m"
},
"engines": {
"node": ">= 22"
"node": ">= 18"
},
"packageManager": "pnpm@11.1.1",
"cpu": ["x64", "arm64"],
@@ -101,7 +101,7 @@
"openai": "4.29.2"
},
"peerDependencies": {
"@types/node": ">=22",
"@types/node": ">=18",
"apache-arrow": ">=15.0.0 <=18.1.0"
},
"peerDependenciesMeta": {
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "lancedb-python"
version = "0.38.0"
version = "0.38.0-beta.11"
publish = false
edition.workspace = true
description = "Python bindings for LanceDB"
+38 -7
View File
@@ -16,6 +16,7 @@ from typing import (
Iterable,
List,
Literal,
Mapping,
Optional,
Union,
)
@@ -687,17 +688,35 @@ class DBConnection(EnforceOverrides):
"""
raise NotImplementedError("serialize is not supported for this connection type")
def create_function(self, definition: UdfDefinition) -> FunctionVersion:
def create_function(
self,
definition: UdfDefinition,
*,
secrets: Optional[Mapping[str, str]] = None,
) -> FunctionVersion:
"""Register a scalar Python UDF and wait for its immutable version.
``secrets`` must contain exactly the names declared by
``@udf(secrets=[...])``. Values are sent in the create request and
stored server-side in the private execution artifact; returned
Function and Job metadata contain only the declared names.
This is the blocking counterpart of :meth:`create_function_async`.
Local connections raise ``NotImplementedError``.
"""
return self.create_function_async(definition).wait()
return self.create_function_async(definition, secrets=secrets).wait()
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Mapping[str, str]] = None,
) -> Job[FunctionVersion]:
"""Register a scalar Python UDF through the remote Function catalog.
``secrets`` must contain exactly the names declared by
``@udf(secrets=[...])``. Values are sent in the create request and
stored server-side in the private execution artifact; returned
Function and Job metadata contain only the declared names.
Submission returns a typed job. The immutable Function version becomes
available only when :meth:`Job.wait` succeeds. Local connections raise
``NotImplementedError``.
@@ -1405,8 +1424,13 @@ class LanceDBConnection(DBConnection):
return Job(self._conn.job(job_id))
@override
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
job = LOOP.run(self._conn.create_function_async(definition))
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Mapping[str, str]] = None,
) -> Job[FunctionVersion]:
job = LOOP.run(self._conn.create_function_async(definition, secrets=secrets))
return Job(job)
@override
@@ -2225,17 +2249,24 @@ class AsyncConnection(object):
return AsyncJob(self._inner.job(job_id))
async def create_function_async(
self, definition: UdfDefinition
self,
definition: UdfDefinition,
*,
secrets: Optional[Mapping[str, str]] = None,
) -> AsyncJob[FunctionVersion]:
"""Register a scalar Python UDF through the remote Function catalog.
``secrets`` must contain exactly the names declared by
``@udf(secrets=[...])``. Values are sent in the create request and
stored server-side in the private execution artifact; returned
Function and Job metadata contain only the declared names.
The returned typed job resolves to the immutable Function version.
Local connections raise ``NotImplementedError``.
"""
if not isinstance(definition, UdfDefinition):
raise TypeError("create_function_async requires a @udf definition")
inner = await self._inner.create_function_async(
definition.registration_request.to_canonical_json()
definition._submission_json(secrets)
)
return _typed_job(inner, FunctionVersion.from_json)
+126 -246
View File
@@ -4,7 +4,7 @@
"""Canonical Function values exchanged with LanceDB Enterprise services.
These immutable models contain client/wire state only. Catalog persistence,
environment bake, and execution are owned by Sophon.
environment bake, secret resolution, and execution are owned by Sophon.
``RefreshColumnResult`` is also the backend-neutral result of a local
expression-backed refresh job.
"""
@@ -49,25 +49,11 @@ from pydantic import (
model_validator,
)
from .schema import is_blob_v2_field as _is_blob_v2_field
_Int32 = conint(strict=True, ge=-(2**31), le=2**31 - 1)
_UInt32 = conint(strict=True, ge=0, le=2**32 - 1)
_UInt64 = conint(strict=True, ge=0, le=2**64 - 1)
def _validate_gpu_wire_marker(value: Any) -> bool:
if value is not True:
raise ValueError("runtime.gpu must be true")
return True
def _normalize_gpu_marker(value: bool) -> Optional[bool]:
if not isinstance(value, bool):
raise ValueError("gpu must be a boolean")
return True if value else None
class _FrozenDict(dict):
def _immutable(self, *args, **kwargs):
raise TypeError("remote canonical values are immutable")
@@ -243,7 +229,7 @@ class PythonEnvironmentSpec(_RemoteValue):
class PythonRuntimeSpec(_RemoteValue):
"""Remote runtime definition with environment values.
"""Remote runtime definition with non-secret environment values.
V1 supports ``kind="python"``. Newer runtime kinds remain readable, while
their unknown payload fields are intentionally not retained by the client.
@@ -253,23 +239,6 @@ class PythonRuntimeSpec(_RemoteValue):
python_version: Optional[str] = None
environment: Optional[PythonEnvironmentSpec] = None
env: Optional[Mapping[str, str]] = None
gpu: Optional[bool] = None
@model_validator(mode="before")
@classmethod
def _discard_unknown_runtime_payload(cls, value):
if isinstance(value, Mapping):
kind = value.get("kind")
if isinstance(kind, str) and kind not in {"python", "python_v2"}:
return {"kind": kind}
return value
@field_validator("gpu", mode="before")
@classmethod
def _validate_gpu_marker(cls, value):
if value is None:
return None
return _validate_gpu_wire_marker(value)
@model_validator(mode="after")
def _validate_runtime_kind(self):
@@ -278,28 +247,18 @@ class PythonRuntimeSpec(_RemoteValue):
raise ValueError("python runtime requires python_version")
if self.environment is None:
raise ValueError("python runtime requires environment")
if self.gpu is not None:
raise ValueError("python runtime with gpu requires kind='python_v2'")
elif self.kind == "python_v2":
if self.python_version is None:
raise ValueError("python_v2 runtime requires python_version")
if self.environment is None:
raise ValueError("python_v2 runtime requires environment")
if self.gpu is None:
raise ValueError("python_v2 runtime requires gpu")
else:
object.__setattr__(self, "python_version", None)
object.__setattr__(self, "environment", None)
object.__setattr__(self, "env", None)
object.__setattr__(self, "gpu", None)
return self
class FunctionVersion(_RemoteValue):
"""An exact immutable Function version returned by Enterprise.
The GPU execution requirement is part of this identity. CPU and memory sizing,
priority, concurrency, and retry policy belong to the execution platform.
Scheduling resources, priority, concurrency, and retry policy belong to
the submitting Job and are not part of this identity.
"""
name: str
@@ -309,6 +268,7 @@ class FunctionVersion(_RemoteValue):
runtime: PythonRuntimeSpec
runtime_digest: str
environment_digest: str
required_secrets: tuple[str, ...] = ()
created_at: str
def __call__(self, **inputs: Any) -> FunctionApplication:
@@ -370,12 +330,17 @@ class FunctionVersion(_RemoteValue):
class FunctionRegistrationRequest(_RemoteValue):
"""Stable remote registration envelope produced by :func:`udf`."""
"""Stable remote registration envelope produced by :func:`udf`.
Only secret names are represented. Secret values are supplied separately
when the definition is submitted and are not part of this durable value.
"""
name: str
artifact: FunctionArtifactRequest
signature: FunctionSignature
runtime: PythonRuntimeSpec
required_secrets: tuple[str, ...] = ()
class FunctionVersionRef(_OpenRemoteValue):
@@ -520,7 +485,27 @@ class RefreshColumnResult(_RemoteValue):
_FUNCTION_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_.-]*$")
_FUNCTION_BLOB_V2_TYPE = "blob_v2"
_SECRET_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
# Keep this byte limit aligned with Sophon's MAX_FUNCTION_SECRET_VALUE_BYTES.
_MAX_FUNCTION_SECRET_VALUE_BYTES = 64 * 1024
_MAX_FUNCTION_SECRET_VALUES_BYTES = 512 * 1024
def _validate_secret_value(name: str, value: Any) -> str:
"""Validate one secret value before building the create request."""
if not isinstance(value, str):
raise TypeError(f"Function secret {name!r} value must be a string")
if not value:
raise ValueError(f"Function secret {name!r} value must be non-empty")
if "\0" in value:
raise ValueError(f"Function secret {name!r} value must not contain NUL")
value_bytes = len(value.encode("utf-8"))
if value_bytes > _MAX_FUNCTION_SECRET_VALUE_BYTES:
raise ValueError(
f"Function secret {name!r} value exceeds the "
f"{_MAX_FUNCTION_SECRET_VALUE_BYTES}-byte limit"
)
return value
_GRAMMAR_PRIMITIVES = (
@@ -537,7 +522,6 @@ _GRAMMAR_PRIMITIVES = (
(pa.float32(), "float32"),
(pa.float64(), "float64"),
(pa.string(), "utf8"),
(pa.large_string(), "large_utf8"),
(pa.binary(), "binary"),
(pa.date32(), "date32"),
(pa.date64(), "date64"),
@@ -545,177 +529,31 @@ _GRAMMAR_PRIMITIVES = (
def _canonical_arrow_type(data_type: pa.DataType) -> str:
"""The compact Function grammar, or canonical exact JSON for nested types."""
grammar = _grammar_arrow_type(data_type)
if grammar is not None:
return grammar
exact = _exact_arrow_type(data_type)
return json.dumps(exact, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
def _grammar_arrow_type(data_type: pa.DataType) -> Optional[str]:
"""The server's V1 Function type grammar. Anything outside it is rejected
here rather than at registration."""
for candidate, name in _GRAMMAR_PRIMITIVES:
if data_type == candidate:
return name
if pa.types.is_list(data_type) or pa.types.is_large_list(data_type):
item = _grammar_list_item(data_type)
if item is None:
return None
prefix = "list" if pa.types.is_list(data_type) else "large_list"
return f"{prefix}<{item}>"
return f"{prefix}<{_canonical_list_item(data_type)}>"
if pa.types.is_fixed_size_list(data_type) and data_type.list_size > 0:
item = _grammar_list_item(data_type)
if item is not None:
return f"fixed_size_list<{item}, {data_type.list_size}>"
return None
return (
f"fixed_size_list<{_canonical_list_item(data_type)}, {data_type.list_size}>"
)
raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")
def _grammar_list_item(data_type: pa.DataType) -> Optional[str]:
def _canonical_list_item(data_type: pa.DataType) -> str:
"""The grammar names only the item type; it always means a non-nullable
child called `item`, so other child properties require exact JSON."""
child called `item`, so any other child metadata cannot be represented."""
child = data_type.value_field
if child.name != "item" or child.nullable or child.metadata:
return None
return _grammar_arrow_type(child.type)
def _validate_exact_arrow_field(field: pa.Field) -> None:
if not field.name:
raise TypeError(
"unsupported Arrow type for Function signature: field names "
"must not be empty"
"unsupported Arrow type for Function signature: list items must be a "
f"non-nullable field named 'item', got {child}"
)
if _is_blob_v2_field(field):
if not _has_supported_blob_v2_layout(field):
raise TypeError(
"unsupported Arrow type for Function signature: lance.blob.v2 "
f"requires a supported Blob storage layout, got {field}"
)
elif field.metadata:
raise TypeError(
"unsupported Arrow type for Function signature: field metadata "
f"is not supported, got {field}"
)
def _has_supported_blob_v2_layout(field: pa.Field) -> bool:
data_type = field.type
if isinstance(data_type, pa.ExtensionType):
data_type = data_type.storage_type
if not pa.types.is_struct(data_type):
return False
fields = tuple(data_type)
def matches(spec, compare_nullable) -> bool:
return len(fields) == len(spec) and all(
actual.name == name
and actual.type == expected_type
and (not check_nullable or actual.nullable == nullable)
for actual, (name, expected_type, nullable), check_nullable in zip(
fields, spec, compare_nullable
)
)
logical_minimal = (
("data", pa.large_binary(), True),
("uri", pa.utf8(), True),
)
logical_full = logical_minimal + (
("position", pa.uint64(), True),
("size", pa.uint64(), True),
)
prepared = (
("kind", pa.uint8(), True),
("data", pa.large_binary(), True),
("uri", pa.utf8(), True),
("blob_id", pa.uint32(), True),
("blob_size", pa.uint64(), True),
("position", pa.uint64(), True),
)
descriptor = (
("kind", pa.uint8(), False),
("position", pa.uint64(), False),
("size", pa.uint64(), False),
("blob_id", pa.uint32(), False),
("blob_uri", pa.utf8(), False),
)
return (
matches(logical_minimal, (True, True))
or matches(logical_full, (True, True, False, False))
or matches(prepared, (True,) * len(prepared))
or matches(descriptor, (False,) * len(descriptor))
)
def _canonical_arrow_field(field: pa.Field) -> str:
_validate_exact_arrow_field(field)
if _is_blob_v2_field(field):
return _FUNCTION_BLOB_V2_TYPE
return _canonical_arrow_type(field.type)
def _exact_arrow_field(field: pa.Field) -> dict[str, Any]:
_validate_exact_arrow_field(field)
if _is_blob_v2_field(field):
raise TypeError(
"unsupported Arrow type for Function signature: nested Blob v2 "
"fields are not supported; declare Blob parameters or named result "
"fields directly"
)
value = {
"name": field.name,
"nullable": field.nullable,
"type": _exact_arrow_type(field.type),
}
return value
def _exact_arrow_type(data_type: pa.DataType) -> dict[str, Any]:
for candidate, name in _GRAMMAR_PRIMITIVES:
if data_type == candidate:
return {"type": name}
if pa.types.is_struct(data_type):
fields = list(data_type)
names = [field.name for field in fields]
if not fields or len(set(names)) != len(names):
raise TypeError(
"unsupported Arrow type for Function signature: structs must have "
"non-empty, uniquely named fields"
)
return {
"type": "struct",
"fields": [_exact_arrow_field(field) for field in fields],
}
if (
pa.types.is_list(data_type)
or pa.types.is_large_list(data_type)
or pa.types.is_fixed_size_list(data_type)
):
if pa.types.is_fixed_size_list(data_type):
if data_type.value_field.name != "item":
raise TypeError(
"unsupported Arrow type for Function signature: fixed-size list "
"items must be named 'item'"
)
if data_type.list_size <= 0:
raise TypeError(
f"unsupported Arrow type for Function signature: {data_type}"
)
value: dict[str, Any] = {
"type": (
"list"
if pa.types.is_list(data_type)
else "large_list"
if pa.types.is_large_list(data_type)
else "fixed_size_list"
),
"fields": [_exact_arrow_field(data_type.value_field)],
}
if pa.types.is_fixed_size_list(data_type):
value["length"] = data_type.list_size
return value
raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")
return _canonical_arrow_type(child.type)
def _list_of(item: pa.DataType) -> pa.DataType:
@@ -789,15 +627,8 @@ def _callable_parameters(function: Callable[..., Any]) -> tuple[inspect.Paramete
def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutput:
if isinstance(output, pa.Schema):
if output.metadata:
raise TypeError("Function output schema metadata is not supported")
fields = tuple(output)
elif (
isinstance(output, pa.Field)
and not _is_blob_v2_field(output)
and pa.types.is_struct(output.type)
):
_validate_exact_arrow_field(output)
elif isinstance(output, pa.Field) and pa.types.is_struct(output.type):
if output.nullable:
raise ValueError("Function output must be non-nullable")
fields = tuple(output.type)
@@ -813,12 +644,11 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
raise TypeError(
"output_schema must be a PyArrow DataType, Field, or Schema"
)
_validate_exact_arrow_field(field)
if field.nullable:
raise ValueError("Function output must be non-nullable")
return FunctionOutput(
kind="scalar",
arrow_type=_canonical_arrow_field(field),
arrow_type=_canonical_arrow_type(field.type),
nullable=False,
)
@@ -826,8 +656,6 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
raise ValueError("named-struct Function output must contain at least one field")
if any(field.nullable for field in fields):
raise ValueError("Function output fields must be non-nullable")
for field in fields:
_validate_exact_arrow_field(field)
names = [field.name for field in fields]
if len(set(names)) != len(names):
raise ValueError("Function output field names must be unique")
@@ -836,7 +664,7 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
fields=tuple(
FunctionResultField(
name=field.name,
arrow_type=_canonical_arrow_field(field),
arrow_type=_canonical_arrow_type(field.type),
nullable=False,
)
for field in fields
@@ -856,10 +684,6 @@ def _infer_signature(
if input_schema is not None:
if not isinstance(input_schema, pa.Schema):
raise TypeError("input_schema must be a PyArrow Schema")
if input_schema.metadata:
raise TypeError("Function input schema metadata is not supported")
for field in input_schema:
_validate_exact_arrow_field(field)
expected = tuple(parameter.name for parameter in parameters)
actual = tuple(input_schema.names)
if actual != expected:
@@ -870,7 +694,7 @@ def _infer_signature(
inputs = tuple(
FunctionParameter(
name=field.name,
arrow_type=_canonical_arrow_field(field),
arrow_type=_canonical_arrow_type(field.type),
nullable=field.nullable,
)
for field in input_schema
@@ -893,9 +717,7 @@ def _infer_signature(
inputs.append(
FunctionParameter(
name=parameter.name,
arrow_type=_canonical_arrow_field(
pa.field(parameter.name, data_type, nullable=nullable)
),
arrow_type=_canonical_arrow_type(data_type),
nullable=nullable,
)
)
@@ -1114,8 +936,8 @@ class UdfDefinition:
output_schema: Optional[pa.DataType | pa.Field | pa.Schema],
pip: tuple[str, ...],
env: Mapping[str, str],
secrets: tuple[str, ...],
python_version: Optional[str],
gpu: bool = False,
conda: tuple[str, ...] = (),
conda_channels: tuple[str, ...] = (),
):
@@ -1141,17 +963,26 @@ class UdfDefinition:
for key, value in environment.items()
):
raise TypeError("Function env keys and values must be strings")
required_secrets = tuple(sorted(set(secrets)))
invalid_secrets = [
secret for secret in required_secrets if not _SECRET_NAME.fullmatch(secret)
]
if invalid_secrets:
raise ValueError(f"invalid Function secret names: {invalid_secrets!r}")
overlap = set(environment) & set(required_secrets)
if overlap:
raise ValueError(
f"Function env and secret names must be disjoint: {sorted(overlap)!r}"
)
signature = _infer_signature(function, input_schema, output_schema)
source = _package_source(function)
digest = f"sha256:{hashlib.sha256(source).hexdigest()}"
gpu_marker = _normalize_gpu_marker(gpu)
runtime = PythonRuntimeSpec(
kind="python_v2" if gpu_marker is not None else "python",
kind="python",
python_version=python_version
or f"{sys.version_info.major}.{sys.version_info.minor}",
environment=environment_spec,
env=environment,
gpu=gpu_marker,
)
self._function = function
self._request = FunctionRegistrationRequest(
@@ -1171,14 +1002,65 @@ class UdfDefinition:
),
signature=signature,
runtime=runtime,
required_secrets=required_secrets,
)
functools.update_wrapper(self, function)
@property
def registration_request(self) -> FunctionRegistrationRequest:
"""The immutable request sent by ``create_function_async``."""
"""The immutable, value-free client model for a Function submission."""
return self._request
def _submission_json(self, secrets: Optional[Mapping[str, str]]) -> str:
"""Build one registration submission without retaining values on self."""
if secrets is None:
secret_values: Mapping[str, str] = {}
elif not isinstance(secrets, Mapping):
raise TypeError("Function secrets must be a mapping of names to strings")
else:
secret_values = secrets
if any(not isinstance(name, str) for name in secret_values):
raise TypeError("Function secret names must be strings")
expected = set(self._request.required_secrets)
provided = set(secret_values)
if provided != expected:
missing = sorted(expected - provided)
unexpected = sorted(provided - expected)
details = []
if missing:
details.append(f"missing: {missing!r}")
if unexpected:
details.append(f"unexpected: {unexpected!r}")
raise ValueError(
"Function secret values must exactly match the declared secrets ("
+ "; ".join(details)
+ ")"
)
canonical_values = {}
total_bytes = 0
for name in sorted(secret_values):
value = _validate_secret_value(name, secret_values[name])
total_bytes += len(value.encode("utf-8"))
if total_bytes > _MAX_FUNCTION_SECRET_VALUES_BYTES:
raise ValueError(
"Function secret values exceed the "
f"{_MAX_FUNCTION_SECRET_VALUES_BYTES}-byte request limit"
)
canonical_values[name] = value
submission = self._request._known_dict()
if canonical_values:
submission["secret_values"] = canonical_values
return json.dumps(
submission,
ensure_ascii=False,
allow_nan=False,
sort_keys=True,
separators=(",", ":"),
)
def __call__(self, *args, **kwargs):
return self._function(*args, **kwargs)
@@ -1196,8 +1078,8 @@ def udf(
output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None,
pip: tuple[str, ...] | list[str] = (),
env: Optional[Mapping[str, str]] = None,
secrets: tuple[str, ...] | list[str] = (),
python_version: Optional[str] = None,
gpu: bool = False,
conda: tuple[str, ...] | list[str] = (),
conda_channels: tuple[str, ...] | list[str] = (),
) -> Callable[[Callable[..., Any]], UdfDefinition]: ...
@@ -1211,8 +1093,8 @@ def udf(
output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None,
pip: tuple[str, ...] | list[str] = (),
env: Optional[Mapping[str, str]] = None,
secrets: tuple[str, ...] | list[str] = (),
python_version: Optional[str] = None,
gpu: bool = False,
conda: tuple[str, ...] | list[str] = (),
conda_channels: tuple[str, ...] | list[str] = (),
):
@@ -1242,13 +1124,12 @@ def udf(
conda_channels : sequence of str, optional
Conda channels in priority order; requires ``conda``.
env : mapping of str to str, optional
Environment variables included in the Function definition.
Non-secret environment variables. Use ``secrets`` for credentials.
secrets : sequence of str, optional
Names of secrets required by the callable. Supply their values separately
to ``create_function`` or ``create_function_async``.
python_version : str, optional
Remote Python major/minor version. Defaults to the client version.
gpu : bool, default False
Whether every remote execution requires a GPU. The execution platform
selects one compatible GPU for each worker. The requirement is part of
the immutable Function version.
The packaged artifact is a snapshot: the function source plus exactly
the module-level names it references (modules as imports, importable
@@ -1268,16 +1149,15 @@ def udf(
Examples
--------
>>> from lancedb import udf
>>> @udf(pip=["numpy==2.2.0"])
>>> @udf(pip=["numpy==2.2.0"], secrets=["MODEL_TOKEN"])
... def score(value: float) -> float:
... return value * 2
>>> score(1.5)
3.0
>>> @udf(pip=["cupy-cuda12x"], gpu=True)
... def gpu_score(value: int) -> int:
... return value * 2
>>> gpu_score.registration_request.runtime.gpu
True
>>> db.create_function( # doctest: +SKIP
... score, secrets={"MODEL_TOKEN": "user-secret-value"}
... )
"""
def decorate(target: Callable[..., Any]) -> UdfDefinition:
@@ -1288,8 +1168,8 @@ def udf(
output_schema=output_schema,
pip=tuple(pip),
env={} if env is None else env,
secrets=tuple(secrets),
python_version=python_version,
gpu=gpu,
conda=tuple(conda),
conda_channels=tuple(conda_channels),
)
+10 -3
View File
@@ -7,7 +7,7 @@ import json
import logging
from concurrent.futures import ThreadPoolExecutor
import sys
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Mapping, Optional, Union
from urllib.parse import urlparse
import warnings
@@ -742,8 +742,15 @@ class RemoteDBConnection(DBConnection):
return Job(self._conn.job(job_id))
@override
def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
return Job(LOOP.run(self._conn.create_function_async(definition)))
def create_function_async(
self,
definition: UdfDefinition,
*,
secrets: Optional[Mapping[str, str]] = None,
) -> Job[FunctionVersion]:
return Job(
LOOP.run(self._conn.create_function_async(definition, secrets=secrets))
)
@override
def get_function(self, name: str, *, version: str) -> FunctionVersion:
+1 -9
View File
@@ -67,15 +67,7 @@ from ..query import (
LanceTakeQueryBuilder,
LanceVectorQueryBuilder,
)
from ..table import (
AsyncTable,
BlobMode,
Branches,
IndexStatistics,
Query,
Table,
Tags,
)
from ..table import AsyncTable, BlobMode, Branches, IndexStatistics, Query, Table, Tags
from ..types import BaseTokenizerType
+5 -10
View File
@@ -2165,11 +2165,9 @@ class Table(ABC):
Function columns are supported only on LanceDB Cloud and
Enterprise.
computed: Dict[str, str], optional
A mapping from output column names to SQL expressions derives each
output field from its expression. A direct projection of a Blob v2
field inherits Blob v2 semantics; other expressions derive their
ordinary Arrow type. Mapping order is declaration and dependency
order.
A map of column name to a SQL expression defining the column. The
column's type and inputs are derived from the expression, so no
data type is supplied.
Unlike ``transforms``, the expression is stored rather than
evaluated now: the column is committed with no values, and rows get
@@ -6270,11 +6268,8 @@ class AsyncTable:
Function columns are supported only on LanceDB Cloud and
Enterprise.
computed: Dict[str, str], optional
A mapping from output column names to SQL expressions derives each
output field from its expression. A direct projection of a Blob v2
field inherits Blob v2 semantics; other expressions derive their
ordinary Arrow type. Mapping order is declaration and dependency
order.
A map of column name to a SQL expression defining the column. The
column's type and inputs are derived from the expression.
Unlike ``transforms``, the expression is stored rather than
evaluated now: the column is committed with no values, and rows get
@@ -37,6 +37,21 @@ def job_result(name: str) -> dict:
return json.loads(fixture(name))["result"]
def assert_no_secret_values(value):
if isinstance(value, dict):
for key, child in value.items():
assert key not in {
"secret_value",
"secret_values",
"resolved_secret",
"resolved_secrets",
}
assert_no_secret_values(child)
elif isinstance(value, list):
for child in value:
assert_no_secret_values(child)
def test_public_function_values_are_in_api_reference():
docs = Path(__file__).parents[3] / "docs" / "src" / "python" / "python.md"
rendered = docs.read_text()
@@ -94,6 +109,7 @@ def test_function_version_identity_is_immutable_and_exact():
version = FunctionVersion.from_json(json.dumps(value))
assert version.name == "embed"
assert version.version == "fv_01K3EXACT"
assert version.required_secrets == ("HF_TOKEN",)
with pytest.raises((TypeError, ValueError)):
version.version = "fv_changed"
@@ -276,6 +292,15 @@ def test_refresh_result_rejects_non_u64_values(field):
RefreshColumnResult.from_json(json.dumps(value))
def test_canonical_client_values_contain_secret_names_only():
version = FunctionVersion.from_json(
json.dumps(job_result("remote_function_job.json"))
)
canonical = json.loads(version.to_canonical_json())
assert canonical["required_secrets"] == ["HF_TOKEN"]
assert_no_secret_values(canonical)
class _FunctionDeclarationInner:
def __init__(self):
self.calls = []
@@ -20,10 +20,10 @@ import pytest
import lancedb
from lancedb.functions import (
PythonRuntimeSpec,
_MAX_FUNCTION_SECRET_VALUE_BYTES,
_MAX_FUNCTION_SECRET_VALUES_BYTES,
FunctionRegistrationRequest,
UdfDefinition,
_canonical_arrow_type,
_GRAMMAR_PRIMITIVES,
udf,
)
@@ -45,12 +45,28 @@ FIXTURES = (
@udf(
pip=["numpy>=2"],
env={"MODE": "test"},
secrets=["API_TOKEN"],
python_version="3.12",
)
def normalize_score(value: float) -> float:
return value / 100.0
def _assert_no_secret_values(value):
if isinstance(value, dict):
for key, child in value.items():
assert key not in {
"secret_value",
"secret_values",
"resolved_secret",
"resolved_secrets",
}
_assert_no_secret_values(child)
elif isinstance(value, list):
for child in value:
_assert_no_secret_values(child)
def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
assert isinstance(normalize_score, UdfDefinition)
assert normalize_score(25.0) == 0.25
@@ -65,6 +81,8 @@ def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
"kind": "scalar_to_arrow_batch",
"version": 1,
}
assert request["required_secrets"] == ["API_TOKEN"]
_assert_no_secret_values(request)
def _run_packaged(definition, *args):
@@ -95,58 +113,6 @@ def test_udf_conda_environment():
udf(name="channels", conda_channels=["conda-forge"])(lambda value: value)
def test_udf_gpu_marker_uses_gpu_runtime():
@udf(pip=["cupy-cuda12x"], gpu=True)
def double_on_gpu(value: int) -> int:
return value * 2
request = json.loads(double_on_gpu.registration_request.to_canonical_json())
assert request["runtime"]["kind"] == "python_v2"
assert request["runtime"]["gpu"] is True
@udf(pip=["pyarrow"])
def cpu_function(value: int) -> int:
return value
cpu_runtime = json.loads(cpu_function.registration_request.to_canonical_json())[
"runtime"
]
assert cpu_runtime["kind"] == "python"
assert "gpu" not in cpu_runtime
def identity(value: int) -> int:
return value
for invalid in [None, 0, 1, -1, 1.5, "", "true", "1", "H100"]:
with pytest.raises(ValueError, match="gpu must be a boolean"):
udf(name="invalid_gpu", gpu=invalid)(identity)
base_runtime = {
"kind": "python_v2",
"python_version": "3.12",
"environment": {"kind": "pip"},
}
runtime = PythonRuntimeSpec.model_validate({**base_runtime, "gpu": True})
assert runtime.gpu is True
for invalid in [False, 1, 0, "", "true", "1", "H100"]:
with pytest.raises(ValueError, match="runtime.gpu must be true"):
PythonRuntimeSpec.model_validate({**base_runtime, "gpu": invalid})
def test_unknown_runtime_discards_payload_before_known_field_validation():
for payload in [
{"kind": "python_v3", "gpu": {"model": "H100"}},
{"kind": "python_v3", "resources": []},
{
"kind": "python_v3",
"environment": {"kind": []},
"python_version": 3.15,
},
]:
runtime = PythonRuntimeSpec.model_validate(payload)
assert runtime.to_canonical_json() == '{"kind":"python_v3"}'
def test_udf_packages_attribute_access_and_body_imports():
@udf
def word_norm(body: str) -> float:
@@ -226,7 +192,9 @@ def test_udf_resolves_module_globals_before_builtins(tmp_path):
udf(module.uses_callable_shadow)
def test_canonical_arrow_type_prefers_the_compact_grammar():
def test_canonical_arrow_type_is_exactly_the_grammar():
from lancedb.functions import _GRAMMAR_PRIMITIVES, _canonical_arrow_type
golden = json.loads(
(
Path(__file__).parents[3]
@@ -237,19 +205,14 @@ def test_canonical_arrow_type_prefers_the_compact_grammar():
case["arrow_type"] for case in golden["valid"] if "<" not in case["arrow_type"]
]
assert [name for _, name in _GRAMMAR_PRIMITIVES] == primitives
assert _canonical_arrow_type(pa.list_(pa.field("item", pa.float32(), False))) == (
"list<float32>"
)
assert (
_canonical_arrow_type(pa.large_list(pa.field("item", pa.float32(), False)))
== "large_list<float32>"
)
for outside in [
pa.timestamp("us"),
pa.decimal128(10, 2),
pa.large_string(),
pa.large_binary(),
pa.binary(4),
pa.duration("s"),
pa.struct([pa.field("a", pa.int32())]),
pa.list_(pa.float32(), 0),
pa.list_(pa.timestamp("us")),
]:
@@ -433,33 +396,21 @@ def test_udf_recursion_versus_a_rebound_module_name(tmp_path):
output_schema=None,
pip=(),
env={},
secrets=(),
python_version=None,
)
with pytest.raises(ValueError, match="binds that name to another value"):
udf(raw_fact)
def test_canonical_arrow_type_uses_exact_json_for_list_child_properties():
nullable = pa.list_(pa.float32())
assert json.loads(_canonical_arrow_type(nullable)) == {
"type": "list",
"fields": [
{
"name": "item",
"nullable": True,
"type": {"type": "float32"},
}
],
}
named = pa.list_(pa.field("custom", pa.float32(), nullable=False))
assert json.loads(_canonical_arrow_type(named))["fields"][0]["name"] == "custom"
def test_canonical_arrow_type_rejects_unrepresentable_list_children():
from lancedb.functions import _canonical_arrow_type
for outside in [
pa.list_(pa.float32()), # pyarrow default: nullable child
pa.list_(pa.field("custom", pa.float32(), nullable=False)),
pa.list_(pa.field("item", pa.float32(), nullable=False, metadata={"k": "v"})),
pa.list_(pa.field("item", pa.float32(), nullable=False), 0),
pa.list_(
pa.field("item", pa.float32(), nullable=False, metadata={"k": "v"}), 3
),
pa.list_(pa.field("custom", pa.float32(), nullable=False), 3),
]:
with pytest.raises(TypeError, match="unsupported Arrow type"):
_canonical_arrow_type(outside)
@@ -469,29 +420,6 @@ def test_canonical_arrow_type_uses_exact_json_for_list_child_properties():
)
== "fixed_size_list<float32, 3>"
)
fixed = json.loads(_canonical_arrow_type(pa.list_(pa.float32(), 3)))
assert fixed == {
"type": "fixed_size_list",
"fields": [
{
"name": "item",
"nullable": True,
"type": {"type": "float32"},
}
],
"length": 3,
}
large = json.loads(_canonical_arrow_type(pa.large_list(pa.float32())))
assert large["type"] == "large_list"
assert large["fields"][0]["nullable"] is True
for invalid_struct in [
pa.struct([]),
pa.struct([pa.field("a", pa.int32()), pa.field("a", pa.int64())]),
pa.struct([pa.field("", pa.int32())]),
]:
with pytest.raises(TypeError, match="unsupported Arrow type"):
_canonical_arrow_type(invalid_struct)
def _calls_missing(value: int) -> int:
@@ -529,7 +457,6 @@ def _arrow_type_from_golden(spec: dict) -> pa.DataType:
"null": pa.null(),
"bool": pa.bool_(),
"utf8": pa.string(),
"large_utf8": pa.large_string(),
"binary": pa.binary(),
"float16": pa.float16(),
"float32": pa.float32(),
@@ -546,6 +473,8 @@ def test_arrow_type_grammar_matches_the_shared_golden():
/ "rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json"
).read_text()
)
from lancedb.functions import _canonical_arrow_type
emitted = {
case["arrow_type"]: _canonical_arrow_type(_arrow_type_from_golden(case["json"]))
for case in golden["valid"]
@@ -578,250 +507,6 @@ def test_explicit_arrow_schema_is_deterministic():
assert signature.output.nullable is False
def test_blob_fields_use_the_scalar_function_semantic_type():
@udf(
input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
output_schema=lancedb.blob("result", nullable=False),
)
def copy_blob(image):
return image
signature = copy_blob.registration_request.signature
assert signature.inputs[0].arrow_type == "blob_v2"
assert signature.output.kind == "scalar"
assert signature.output.arrow_type == "blob_v2"
def test_named_struct_function_can_include_a_blob_result_field():
@udf(
input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
output_schema=pa.schema(
[
lancedb.blob("thumbnail", nullable=False),
pa.field("width", pa.int32(), nullable=False),
]
),
)
def inspect_blob(image):
return {"thumbnail": image, "width": 1}
output = inspect_blob.registration_request.signature.output
assert output.kind == "named_struct"
assert [(field.name, field.arrow_type) for field in output.fields] == [
("thumbnail", "blob_v2"),
("width", "int32"),
]
def test_metadata_marked_blob_field_uses_the_semantic_type():
extension = lancedb.blob("image", nullable=False).type
storage = (
extension.storage_type if isinstance(extension, pa.ExtensionType) else extension
)
metadata_blob = pa.field(
"image",
storage,
nullable=False,
metadata={"ARROW:extension:name": "lance.blob.v2"},
)
@udf(
input_schema=pa.schema([metadata_blob]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(image):
return len(image)
assert blob_size.registration_request.signature.inputs[0].arrow_type == "blob_v2"
def test_blob_marker_rejects_invalid_storage_layout():
malformed = pa.field(
"image",
pa.int64(),
nullable=False,
metadata={"ARROW:extension:name": "lance.blob.v2"},
)
with pytest.raises(TypeError, match="requires a supported Blob storage layout"):
@udf(
input_schema=pa.schema([malformed]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(image):
return len(image)
def test_nested_blob_signature_field_has_a_clear_error():
nested = pa.field(
"value",
pa.struct([lancedb.blob("image", nullable=False)]),
nullable=False,
)
with pytest.raises(TypeError, match="nested Blob v2 fields are not supported"):
@udf(
input_schema=pa.schema([nested]),
output_schema=pa.field("size", pa.int64(), nullable=False),
)
def blob_size(value):
return len(value["image"])
def test_nested_non_blob_extension_is_not_silently_unwrapped():
class TestExtension(pa.ExtensionType):
def __init__(self):
super().__init__(pa.int64(), "test.function.extension")
def __arrow_ext_serialize__(self):
return b""
@classmethod
def __arrow_ext_deserialize__(cls, storage_type, serialized):
return cls()
nested = pa.field(
"value",
pa.struct([pa.field("extended", TestExtension(), nullable=False)]),
nullable=False,
)
with pytest.raises(TypeError, match="unsupported Arrow type"):
@udf(
input_schema=pa.schema([nested]),
output_schema=pa.field("result", pa.int64(), nullable=False),
)
def extension_value(value):
return value["extended"]
def test_explicit_large_utf8_schemas_use_the_canonical_function_name():
input_schema = pa.schema([pa.field("text", pa.large_string(), nullable=True)])
output_schema = pa.field("result", pa.large_string(), nullable=False)
@udf(input_schema=input_schema, output_schema=output_schema)
def preserve(text):
return text
signature = preserve.registration_request.signature
assert signature.inputs[0].arrow_type == "large_utf8"
assert signature.inputs[0].nullable is True
assert signature.output.arrow_type == "large_utf8"
assert signature.output.nullable is False
nested = pa.struct([pa.field("text", pa.large_string(), nullable=True)])
assert json.loads(_canonical_arrow_type(nested)) == {
"type": "struct",
"fields": [
{
"name": "text",
"nullable": True,
"type": {"type": "large_utf8"},
}
],
}
def test_nested_struct_output_uses_canonical_exact_json():
token = pa.struct(
[
pa.field("position", pa.int32(), nullable=False),
pa.field("value", pa.string(), nullable=False),
pa.field("length", pa.int32(), nullable=False),
]
)
analysis = pa.struct(
[
pa.field("normalized_text", pa.string(), nullable=False),
pa.field("has_content", pa.bool_(), nullable=False),
pa.field(
"metrics",
pa.struct(
[
pa.field("character_count", pa.int64(), nullable=False),
pa.field("word_count", pa.int32(), nullable=False),
pa.field("average_word_length", pa.float64(), nullable=False),
]
),
nullable=False,
),
pa.field(
"diagnostics",
pa.struct(
[
pa.field("status", pa.string(), nullable=False),
pa.field(
"normalization",
pa.struct(
[
pa.field("changed", pa.bool_(), nullable=False),
pa.field(
"original_length", pa.int64(), nullable=False
),
]
),
nullable=False,
),
]
),
nullable=False,
),
pa.field(
"token_preview",
pa.list_(pa.field("item", token, nullable=False)),
nullable=False,
),
]
)
@udf(
input_schema=pa.schema([pa.field("text", pa.string(), nullable=False)]),
output_schema=pa.field("analysis", analysis, nullable=False),
)
def analyze(text):
return {"normalized_text": text}
output = analyze.registration_request.signature.output
assert output.kind == "named_struct"
assert [field.name for field in output.fields] == [
"normalized_text",
"has_content",
"metrics",
"diagnostics",
"token_preview",
]
metrics = json.loads(output.fields[2].arrow_type)
assert metrics == {
"type": "struct",
"fields": [
{
"name": "character_count",
"nullable": False,
"type": {"type": "int64"},
},
{
"name": "word_count",
"nullable": False,
"type": {"type": "int32"},
},
{
"name": "average_word_length",
"nullable": False,
"type": {"type": "float64"},
},
],
}
preview = json.loads(output.fields[4].arrow_type)
assert preview["type"] == "list"
assert preview["fields"][0]["type"]["type"] == "struct"
assert [field["name"] for field in preview["fields"][0]["type"]["fields"]] == [
"position",
"value",
"length",
]
def test_annotation_and_explicit_schema_validation_fail_closed():
with pytest.raises(TypeError, match="missing Function annotations"):
@@ -865,80 +550,55 @@ def test_annotation_and_explicit_schema_validation_fail_closed():
def nullable_explicit(value):
return value
for invalid_field in [
pa.field("", pa.int32(), nullable=False),
pa.field("result", pa.int32(), nullable=False, metadata={"k": "v"}),
]:
with pytest.raises(TypeError, match="unsupported Arrow type"):
@udf(
input_schema=pa.schema([pa.field("value", pa.int64())]),
output_schema=pa.schema([invalid_field]),
)
def invalid_explicit_field(value):
return value
def test_secret_names_are_canonical_and_disjoint_from_environment():
@udf(secrets=["Z_TOKEN", "A_TOKEN", "Z_TOKEN"])
def canonical_secrets(value: int) -> int:
return value
with pytest.raises(TypeError, match="unsupported Arrow type"):
assert canonical_secrets.registration_request.required_secrets == (
"A_TOKEN",
"Z_TOKEN",
)
@udf(
input_schema=pa.schema(
[pa.field("value", pa.int64(), metadata={"k": "v"})]
),
output_schema=pa.int64(),
)
def input_field_metadata(value):
with pytest.raises(ValueError, match="must be disjoint"):
@udf(env={"TOKEN": "plaintext"}, secrets=["TOKEN"])
def overlapping(value: int) -> int:
return value
with pytest.raises(TypeError, match="unsupported Arrow type"):
@udf(
input_schema=pa.schema([pa.field("value", pa.int64())]),
output_schema=pa.field(
"result", pa.int64(), nullable=False, metadata={"k": "v"}
),
)
def scalar_output_field_metadata(value):
return value
def test_declared_secret_api_still_requires_explicit_create_values():
@udf(secrets=["API_TOKEN"])
def declared_secret(value: int) -> int:
return value
struct_type = pa.struct([pa.field("value", pa.int64(), nullable=False)])
with pytest.raises(TypeError, match="unsupported Arrow type"):
with pytest.raises(ValueError, match="missing"):
declared_secret._submission_json(None)
submission = json.loads(
declared_secret._submission_json({"API_TOKEN": "explicit-secret"})
)
assert submission["required_secrets"] == ["API_TOKEN"]
assert submission["secret_values"] == {"API_TOKEN": "explicit-secret"}
@udf(
input_schema=pa.schema([pa.field("value", pa.int64())]),
output_schema=pa.field(
"result", struct_type, nullable=False, metadata={"k": "v"}
),
)
def struct_output_field_metadata(value):
return {"value": value}
for input_schema, output_schema in [
(
pa.schema([pa.field("value", pa.int64())], metadata={"k": "v"}),
pa.int64(),
),
(
pa.schema([pa.field("value", pa.int64())]),
pa.schema(
[pa.field("result", pa.int64(), nullable=False)],
metadata={"k": "v"},
),
),
]:
with pytest.raises(TypeError, match="schema metadata"):
def test_no_secrets_preserve_canonical_registration_shape():
@udf
def no_secrets(value: int) -> int:
return value
@udf(input_schema=input_schema, output_schema=output_schema)
def schema_metadata(value):
return value
canonical = json.loads(no_secrets.registration_request.to_canonical_json())
assert "required_secrets" not in canonical
assert json.loads(no_secrets._submission_json(None)) == canonical
def test_local_function_catalog_operations_are_not_supported(tmp_path):
db = lancedb.connect(tmp_path)
message = "Function catalog operations are not supported by this database"
with pytest.raises(NotImplementedError, match=message):
db.create_function(normalize_score)
db.create_function(normalize_score, secrets={"API_TOKEN": "value"})
with pytest.raises(NotImplementedError, match=message):
db.create_function_async(normalize_score)
db.create_function_async(normalize_score, secrets={"API_TOKEN": "value"})
with pytest.raises(NotImplementedError, match=message):
db.get_function("normalize_score", version="fv_exact")
@@ -968,6 +628,7 @@ def _mock_remote_function_catalog():
"runtime": body["runtime"],
"runtime_digest": "sha256:runtime",
"environment_digest": "sha256:environment",
"required_secrets": body.get("required_secrets", []),
"created_at": "2026-08-21T00:00:00Z",
}
response = {"job_id": "job-register"}
@@ -1014,7 +675,9 @@ def test_remote_registration_job_and_exact_version_reopen_round_trip():
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
registration = db.create_function_async(normalize_score)
registration = db.create_function_async(
normalize_score, secrets={"API_TOKEN": "secret-value"}
)
assert registration.id == "job-register"
created = registration.wait()
reopened = db.get_function("normalize_score", version=created.version)
@@ -1023,9 +686,18 @@ def test_remote_registration_job_and_exact_version_reopen_round_trip():
assert reopened.name == "normalize_score"
assert reopened.version == "fv_exact"
create_request = state["requests"][0][1]
assert create_request == json.loads(
expected = json.loads(normalize_score.registration_request.to_canonical_json())
expected["secret_values"] = {"API_TOKEN": "secret-value"}
assert create_request == expected
durable_request = FunctionRegistrationRequest.from_json(json.dumps(create_request))
assert not hasattr(durable_request, "secret_values")
assert "secret_values" not in json.loads(durable_request.to_canonical_json())
assert "secret_values" not in json.loads(
normalize_score.registration_request.to_canonical_json()
)
assert "secret-value" not in repr(normalize_score)
assert "secret-value" not in repr(normalize_score.registration_request)
assert not hasattr(created, "secret_values")
def test_blocking_remote_registration_returns_function_version():
@@ -1036,7 +708,9 @@ def test_blocking_remote_registration_returns_function_version():
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
created = db.create_function(normalize_score)
created = db.create_function(
normalize_score, secrets={"API_TOKEN": "blocking-secret"}
)
assert created.name == "normalize_score"
assert created.version == "fv_exact"
@@ -1044,3 +718,121 @@ def test_blocking_remote_registration_returns_function_version():
"/v1/functions/create",
"/v1/jobs/describe",
]
assert state["requests"][0][1]["secret_values"] == {"API_TOKEN": "blocking-secret"}
@pytest.mark.parametrize(
("secret_values", "error_type", "message"),
[
(None, ValueError, "missing"),
({}, ValueError, "missing"),
({"OTHER": "value"}, ValueError, "missing.*unexpected"),
({"API_TOKEN": ""}, ValueError, "non-empty"),
({"API_TOKEN": "bad\0value"}, ValueError, "NUL"),
({"API_TOKEN": 123}, TypeError, "must be a string"),
([("API_TOKEN", "value")], TypeError, "must be a mapping"),
],
)
def test_secret_values_are_validated_before_remote_request(
secret_values, error_type, message
):
with _mock_remote_function_catalog() as (host, state):
db = lancedb.connect(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
with pytest.raises(error_type, match=message):
db.create_function_async(normalize_score, secrets=secret_values)
assert state["requests"] == []
@pytest.mark.parametrize(
"value",
[
"x" * _MAX_FUNCTION_SECRET_VALUE_BYTES,
"é" * (_MAX_FUNCTION_SECRET_VALUE_BYTES // len("é".encode("utf-8"))),
],
ids=["ascii", "multibyte"],
)
def test_secret_value_accepts_exact_utf8_byte_limit(value):
submission = json.loads(normalize_score._submission_json({"API_TOKEN": value}))
assert submission["secret_values"]["API_TOKEN"] == value
assert len(value.encode("utf-8")) == _MAX_FUNCTION_SECRET_VALUE_BYTES
@pytest.mark.parametrize(
"value",
[
"x" * (_MAX_FUNCTION_SECRET_VALUE_BYTES + 1),
"é" * (_MAX_FUNCTION_SECRET_VALUE_BYTES // len("é".encode("utf-8")) + 1),
],
ids=["ascii", "multibyte"],
)
def test_secret_value_rejects_over_utf8_byte_limit_before_json_construction(
monkeypatch, value
):
def fail_if_json_construction_starts(self):
pytest.fail("oversized secret reached JSON construction")
monkeypatch.setattr(
FunctionRegistrationRequest, "_known_dict", fail_if_json_construction_starts
)
with pytest.raises(ValueError, match=r"exceeds the 65536-byte limit"):
normalize_score._submission_json({"API_TOKEN": value})
def test_secret_values_accept_exact_aggregate_utf8_byte_limit(monkeypatch):
names = tuple(f"SECRET_{index}" for index in range(8))
value = "é" * (_MAX_FUNCTION_SECRET_VALUE_BYTES // len("é".encode("utf-8")))
values = {name: value for name in names}
monkeypatch.setattr(
normalize_score,
"_request",
normalize_score._request._copy(update={"required_secrets": names}),
)
submission = json.loads(normalize_score._submission_json(values))
assert submission["secret_values"] == values
assert sum(len(item.encode("utf-8")) for item in values.values()) == (
_MAX_FUNCTION_SECRET_VALUES_BYTES
)
def test_secret_values_reject_aggregate_over_limit_before_construction(monkeypatch):
names = tuple(f"SECRET_{index}" for index in range(9))
values = {name: "x" * _MAX_FUNCTION_SECRET_VALUE_BYTES for name in names}
monkeypatch.setattr(
normalize_score,
"_request",
normalize_score._request._copy(update={"required_secrets": names}),
)
def fail_if_json_construction_starts(self):
pytest.fail("oversized aggregate reached JSON construction")
monkeypatch.setattr(
FunctionRegistrationRequest, "_known_dict", fail_if_json_construction_starts
)
with pytest.raises(ValueError, match=r"exceed.*524288-byte request limit"):
normalize_score._submission_json(values)
@pytest.mark.asyncio
async def test_async_remote_registration_submits_secret_values_only_once():
with _mock_remote_function_catalog() as (host, state):
db = await lancedb.connect_async(
"db://dev",
api_key="fake",
host_override=host,
client_config={"retry_config": {"retries": 0}},
)
registration = await db.create_function_async(
normalize_score, secrets={"API_TOKEN": "async-secret"}
)
created = await registration.wait()
assert state["requests"][0][1]["secret_values"] == {"API_TOKEN": "async-secret"}
assert not hasattr(created, "secret_values")
-23
View File
@@ -4087,29 +4087,6 @@ def test_computed_column_rejects_transforms_and_computed_together(tmp_path):
table.add_columns({"a": "x + 1"}, computed={"b": "x * 2"})
def test_computed_column_blob_projection_inherits_semantics(tmp_path):
schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
db = lancedb.connect(tmp_path)
table = db.create_table("computed_column_blob", schema=schema)
table.add(
[
{"id": 1, "image": b"hello"},
{"id": 2, "image": b""},
{"id": 3, "image": None},
]
)
table.add_columns(computed={"image_copy": "image", "second_copy": "image_copy"})
assert table.refresh_column("image_copy").rows_filled == 2
assert table.refresh_column("second_copy").rows_filled == 2
assert table.blob_columns() == ["image", "image_copy", "second_copy"]
hits = table.search().with_row_id(True).limit(10).to_arrow()
rows = sorted(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
copied = table.fetch_blobs("second_copy", [row_id for _, row_id in rows])
assert copied.to_pylist() == [b"hello", b"", None]
@pytest.mark.asyncio
async def test_computed_column_async(tmp_path):
db = await lancedb.connect_async(tmp_path)
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "lancedb"
version = "0.38.0"
version = "0.38.0-beta.11"
edition.workspace = true
description = "LanceDB: A serverless, low-latency vector database for AI applications"
license.workspace = true
+38 -120
View File
@@ -13,7 +13,7 @@ use lance::dataset::{ReadParams, WriteMode, builder::DatasetBuilder};
use lance::io::{ObjectStore, ObjectStoreParams, WrappingObjectStore};
use lance_datafusion::utils::StreamingWriteSource;
use lance_file::version::LanceFileVersion;
use lance_io::object_store::{StorageOptionsAccessor, StorageOptionsProvider};
use lance_io::object_store::{ReadDirOptions, StorageOptionsAccessor, StorageOptionsProvider};
use lance_table::io::commit::commit_handler_from_url;
use object_store::local::LocalFileSystem;
use snafu::ResultExt;
@@ -282,11 +282,14 @@ impl std::fmt::Display for ListingDatabase {
const LANCE_EXTENSION: &str = "lance";
/// The table a listed child directory holds, or `None` if it is not a table at all.
/// The table a listed child of the database names, or `None` if the child is not a table.
///
/// A table is the directory `<name>.lance`; a loose file or any other directory under the
/// database prefix belongs to something else. `dir_suffix` is `.lance`, built once by the
/// caller rather than per child.
/// The table a listed child directory holds, or `None` if it is not a table at all.
///
/// Only directories are considered, so a loose object named like a table is not one.
fn table_name(location: &object_store::path::Path, dir_suffix: &str) -> Option<String> {
location
.filename()?
@@ -294,75 +297,6 @@ fn table_name(location: &object_store::path::Path, dir_suffix: &str) -> Option<S
.map(String::from)
.filter(|name| !name.is_empty())
}
/// One page of the table directories under the database directory, in key order.
struct DirPage {
/// The table directories the page holds, as the store lists them.
common_prefixes: Vec<object_store::path::Path>,
/// Resumes after this page, or `None` when the page reached the end of the level.
page_token: Option<String>,
}
/// Where a listed location sits inside the database directory — the space page tokens live
/// in — or `None` if it is not a child of that directory at all. Matching both halves of the
/// prefix drops a location that merely starts with the directory's name (`dbx/y` against
/// `db/`) as well as the marker object some stores keep for the directory itself.
fn relative_key<'a>(prefix: Option<&str>, location: &'a str) -> Option<&'a str> {
let relative = match prefix {
Some(prefix) => location.strip_prefix(prefix)?,
None => location,
};
(!relative.is_empty()).then_some(relative)
}
/// One page of the table directories under `base_path`, one directory level deep.
///
/// Lance 11 exposes no paginated directory listing, so the level is listed in full and paged
/// locally: table directories go into key order (a directory's key keeps its trailing `/`,
/// so a token is never a table name), the page is the smallest `limit` of them past
/// `page_token`, and the token handed back is the key of the last directory the page took —
/// so a page that took nothing ends the listing rather than resuming from a position no page
/// ever reached. Only `<name>.lance/` directories enter the page: loose objects, other
/// directories, and a bare `.lance/` never take a page slot or name a token, which keeps a
/// page to exactly one listing of the level. Correct on every store, at the cost of that one
/// full-level listing per page.
async fn read_dir_page(
object_store: &ObjectStore,
base_path: &object_store::path::Path,
page_token: Option<String>,
limit: Option<usize>,
) -> Result<DirPage> {
let listed = object_store.list_with_delimiter(Some(base_path)).await?;
let prefix = {
let base = base_path.as_ref();
(!base.is_empty()).then(|| format!("{base}/"))
};
let table_dir_suffix = format!(".{LANCE_EXTENSION}/");
let mut children: Vec<(String, object_store::path::Path)> = listed
.common_prefixes
.into_iter()
.filter_map(|location| {
let key = format!("{}/", relative_key(prefix.as_deref(), location.as_ref())?);
(key.len() > table_dir_suffix.len() && key.ends_with(&table_dir_suffix))
.then_some((key, location))
})
.collect();
children.sort_unstable_by(|(left, _), (right, _)| left.cmp(right));
if let Some(resume) = &page_token {
children.retain(|(key, _)| key > resume);
}
let total = children.len();
children.truncate(limit.unwrap_or(total).min(total));
let page_token = match children.last() {
Some((last, _)) if children.len() < total => Some(last.clone()),
_ => None,
};
Ok(DirPage {
common_prefixes: children.into_iter().map(|(_, location)| location).collect(),
page_token,
})
}
const ENGINE: &str = "engine";
const MIRRORED_STORE: &str = "mirroredStore";
@@ -1048,7 +982,8 @@ impl Database for ListingDatabase {
let mut tables = Vec::new();
let mut page_token = request.page_token.filter(|token| !token.is_empty());
// A page of nothing: no table was handed over for a token to resume after.
// A page of nothing: the store rejects a limit of zero, and no table was handed over
// for a token to resume after.
if limit == Some(0) {
return Ok(ListTablesResponse {
context: None,
@@ -1057,21 +992,35 @@ impl Database for ListingDatabase {
});
}
// The page holds only table directories, so one call — and the one full-level
// listing behind it — fills it.
let page = read_dir_page(
&self.object_store,
&self.base_path,
page_token.take(),
limit,
)
.await?;
page_token = page.page_token;
tables.extend(
page.common_prefixes
.iter()
.filter_map(|location| table_name(location, &dir_suffix)),
);
loop {
// Ask only for what the page still has room for, so a database holding more
// than one page costs one request per page rather than one per table.
let listing = self
.object_store
.read_dir_page(
self.base_path.clone(),
ReadDirOptions {
page_token: page_token.take(),
limit: limit.map(|limit| limit - tables.len()),
},
)
.await?;
page_token = listing.page_token;
// Only child directories can be tables, and the store already separates them
// out, so the objects in the page are not looked at.
tables.extend(
listing
.result
.common_prefixes
.iter()
.filter_map(|location| table_name(location, &dir_suffix)),
);
// Children that are not tables leave the page short of the limit, so keep
// going until the page is full or the database runs out.
if page_token.is_none() || limit.is_none_or(|limit| tables.len() >= limit) {
break;
}
}
Ok(ListTablesResponse {
context: None,
@@ -1717,8 +1666,8 @@ mod tests {
}
/// Only directories named `<name>.lance` are tables; loose files and other directories
/// under the database prefix are not. They never take a page slot, so even a `limit`
/// smaller than the clutter ahead of the first table returns that table.
/// under the database prefix are not. A page spent on them is filled from the next one,
/// so a page holding only non-tables does not read as an empty database.
#[tokio::test]
async fn test_listing_ignores_non_table_children() {
let (tempdir, db) = setup_database().await;
@@ -1737,37 +1686,6 @@ mod tests {
assert_eq!(page.tables, vec!["real"]);
}
/// The Lance 11 fallback pages locally over one full-level listing, so a bounded page
/// costs exactly one listing call — clutter ahead of the first table must not buy extra
/// round trips.
#[tokio::test]
async fn test_one_full_listing_per_public_page() {
use crate::io::object_store::io_tracking::IoStatsHolder;
use lance_io::object_store::WrappingObjectStore;
let (tempdir, mut db) = setup_database().await;
create_tables(&db, &["real"]).await;
std::fs::write(tempdir.path().join("aaa-loose.lance"), b"not a table").unwrap();
create_dir_all(tempdir.path().join("aaa-scratch")).unwrap();
let io_stats = IoStatsHolder::default();
let mut tracked_store = (*db.object_store).clone();
tracked_store.inner =
io_stats.wrap(&tracked_store.store_prefix, tracked_store.inner.clone());
db.object_store = Arc::new(tracked_store);
let page = db
.list_tables(ListTablesRequest {
limit: Some(1),
..Default::default()
})
.await
.unwrap();
assert_eq!(page.tables, vec!["real"]);
assert_eq!(io_stats.incremental_stats().read_iops, 1);
}
#[tokio::test]
async fn listing_ignores_empty_table_name() {
let (tempdir, db) = setup_database().await;
+335 -156
View File
@@ -5,9 +5,9 @@
//! backend-neutral terminal result of a computed-column refresh.
//!
//! This module contains client/wire values only. Catalog persistence,
//! environment bake, and execution are owned by Sophon.
//! environment bake, secret resolution, and execution are owned by Sophon.
use std::collections::BTreeMap;
use std::collections::{BTreeMap, BTreeSet};
use serde::de::{self, DeserializeOwned};
use serde::{Deserialize, Deserializer, Serialize, Serializer};
@@ -15,8 +15,15 @@ use serde_json::Value;
use crate::{Error, Result};
/// Semantic Function type for a Blob v2 value.
pub const FUNCTION_BLOB_V2_TYPE: &str = "blob_v2";
// Keep these byte limits aligned with Sophon's Function submission validation.
pub(crate) const MAX_FUNCTION_SECRET_VALUE_BYTES: usize = 64 * 1024;
const MAX_FUNCTION_SECRET_VALUES_BYTES: usize = 512 * 1024;
fn is_portable_environment_name(name: &str) -> bool {
let mut bytes = name.bytes();
matches!(bytes.next(), Some(b'A'..=b'Z' | b'a'..=b'z' | b'_'))
&& bytes.all(|byte| matches!(byte, b'A'..=b'Z' | b'a'..=b'z' | b'0'..=b'9' | b'_'))
}
fn invalid_json(error: impl std::fmt::Display) -> Error {
Error::InvalidInput {
@@ -201,6 +208,11 @@ pub struct PythonEnvironmentSpec {
}
/// Reproducible Python runtime definition understood by Sophon.
///
/// `env` contains non-secret values. Secret values are submission-only in the
/// client model and do not become part of this public runtime identity;
/// [`FunctionVersion::required_secrets`] contains names only. Sophon persists
/// submitted values separately in the private execution artifact.
#[derive(Debug, Clone, PartialEq, Eq)]
#[non_exhaustive]
pub enum PythonRuntimeSpec {
@@ -210,33 +222,6 @@ pub enum PythonRuntimeSpec {
environment: PythonEnvironmentSpec,
env: BTreeMap<String, String>,
},
/// The GPU-enabled Sophon-managed Python runtime.
///
/// # Examples
///
/// ```
/// use std::collections::BTreeMap;
/// use lancedb::function::{PythonEnvironmentSpec, PythonRuntimeSpec};
///
/// let runtime = PythonRuntimeSpec::PythonV2 {
/// python_version: "3.12".to_string(),
/// environment: PythonEnvironmentSpec {
/// kind: "pip".to_string(),
/// packages: vec!["cupy-cuda12x".to_string()],
/// channels: Vec::new(),
/// path: None,
/// modules: Vec::new(),
/// image: None,
/// },
/// env: BTreeMap::new(),
/// };
/// assert!(runtime.requires_gpu());
/// ```
PythonV2 {
python_version: String,
environment: PythonEnvironmentSpec,
env: BTreeMap<String, String>,
},
/// A runtime kind introduced by a newer server.
///
/// Unknown payload fields are intentionally not retained because the
@@ -249,101 +234,61 @@ impl PythonRuntimeSpec {
pub fn kind(&self) -> &str {
match self {
Self::Python { .. } => "python",
Self::PythonV2 { .. } => "python_v2",
Self::Unrecognized { kind } => kind,
}
}
/// The Python version for a known Python runtime, or `None` for an unknown kind.
/// The Python version for the V1 runtime, or `None` for an unknown kind.
pub fn python_version(&self) -> Option<&str> {
match self {
Self::Python { python_version, .. } | Self::PythonV2 { python_version, .. } => {
Some(python_version)
}
Self::Python { python_version, .. } => Some(python_version),
Self::Unrecognized { .. } => None,
}
}
/// The Python environment for a known Python runtime, or `None` for an unknown kind.
/// The Python environment for the V1 runtime, or `None` for an unknown kind.
pub fn environment(&self) -> Option<&PythonEnvironmentSpec> {
match self {
Self::Python { environment, .. } | Self::PythonV2 { environment, .. } => {
Some(environment)
}
Self::Python { environment, .. } => Some(environment),
Self::Unrecognized { .. } => None,
}
}
/// Environment variables, or `None` for an unknown kind.
/// Non-secret environment variables, or `None` for an unknown kind.
pub fn env(&self) -> Option<&BTreeMap<String, String>> {
match self {
Self::Python { env, .. } | Self::PythonV2 { env, .. } => Some(env),
Self::Python { env, .. } => Some(env),
Self::Unrecognized { .. } => None,
}
}
/// Whether the runtime requires a GPU selected by the execution platform.
pub fn requires_gpu(&self) -> bool {
matches!(self, Self::PythonV2 { .. })
}
}
#[derive(Deserialize)]
struct PythonRuntimeV1Wire {
python_version: String,
environment: PythonEnvironmentSpec,
struct PythonRuntimeWire {
kind: String,
#[serde(default)]
python_version: Option<String>,
#[serde(default)]
environment: Option<PythonEnvironmentSpec>,
#[serde(default)]
env: BTreeMap<String, String>,
#[serde(default)]
gpu: Option<Value>,
}
#[derive(Deserialize)]
struct PythonRuntimeV2Wire {
python_version: String,
environment: PythonEnvironmentSpec,
#[serde(default)]
env: BTreeMap<String, String>,
gpu: bool,
}
impl<'de> Deserialize<'de> for PythonRuntimeSpec {
fn deserialize<D: Deserializer<'de>>(deserializer: D) -> std::result::Result<Self, D::Error> {
let value = Value::deserialize(deserializer)?;
let kind = value
.get("kind")
.ok_or_else(|| de::Error::missing_field("kind"))?
.as_str()
.ok_or_else(|| de::Error::custom("runtime.kind must be a string"))?
.to_string();
match kind.as_str() {
"python" => {
let wire: PythonRuntimeV1Wire =
serde_json::from_value(value).map_err(de::Error::custom)?;
if wire.gpu.is_some() {
return Err(de::Error::custom(
"python runtime with gpu requires kind='python_v2'",
));
}
Ok(Self::Python {
python_version: wire.python_version,
environment: wire.environment,
env: wire.env,
})
}
"python_v2" => {
let wire: PythonRuntimeV2Wire =
serde_json::from_value(value).map_err(de::Error::custom)?;
if !wire.gpu {
return Err(de::Error::custom("runtime.gpu must be true"));
}
Ok(Self::PythonV2 {
python_version: wire.python_version,
environment: wire.environment,
env: wire.env,
})
}
_ => Ok(Self::Unrecognized { kind }),
let wire = PythonRuntimeWire::deserialize(deserializer)?;
if wire.kind == "python" {
Ok(Self::Python {
python_version: wire
.python_version
.ok_or_else(|| de::Error::missing_field("python_version"))?,
environment: wire
.environment
.ok_or_else(|| de::Error::missing_field("environment"))?,
env: wire.env,
})
} else {
Ok(Self::Unrecognized { kind: wire.kind })
}
}
}
@@ -357,8 +302,6 @@ impl Serialize for PythonRuntimeSpec {
environment: &'a PythonEnvironmentSpec,
#[serde(skip_serializing_if = "BTreeMap::is_empty")]
env: &'a BTreeMap<String, String>,
#[serde(skip_serializing_if = "Option::is_none")]
gpu: Option<bool>,
}
#[derive(Serialize)]
@@ -376,19 +319,6 @@ impl Serialize for PythonRuntimeSpec {
python_version,
environment,
env,
gpu: None,
}
.serialize(serializer),
Self::PythonV2 {
python_version,
environment,
env,
} => PythonRuntimeRef {
kind: "python_v2",
python_version,
environment,
env,
gpu: Some(true),
}
.serialize(serializer),
Self::Unrecognized { kind } => UnrecognizedRuntimeRef { kind }.serialize(serializer),
@@ -398,8 +328,8 @@ impl Serialize for PythonRuntimeSpec {
/// Immutable Function version returned by the Enterprise catalog.
///
/// The GPU execution requirement is part of this identity. CPU and memory sizing,
/// priority, concurrency, and retry policy belong to the execution platform.
/// Scheduling resources, priority, concurrency, and retry policy belong to
/// the submitting Job and are not part of this identity.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct FunctionVersion {
name: String,
@@ -409,6 +339,8 @@ pub struct FunctionVersion {
runtime: PythonRuntimeSpec,
runtime_digest: String,
environment_digest: String,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
required_secrets: Vec<String>,
created_at: String,
}
@@ -441,6 +373,12 @@ impl FunctionVersion {
&self.environment_digest
}
/// Required secret names. Resolved values exist only in Sophon's private
/// execution artifact and worker launch path.
pub fn required_secrets(&self) -> &[String] {
&self.required_secrets
}
pub fn created_at(&self) -> &str {
&self.created_at
}
@@ -482,12 +420,115 @@ pub struct FunctionArtifactRequest {
}
/// Stable request envelope for remote immutable Function registration.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
///
/// Secret values are submission-only in the client model. Sophon persists them
/// in the database-scoped private execution artifact; returned
/// [`FunctionVersion`] and Job metadata contain only
/// [`Self::required_secrets`] names. Debug formatting always redacts values.
#[derive(Clone, PartialEq, Eq, Serialize, Deserialize)]
pub struct FunctionRegistrationRequest {
pub name: String,
pub artifact: FunctionArtifactRequest,
pub signature: FunctionSignature,
pub runtime: PythonRuntimeSpec,
#[serde(default, skip_serializing_if = "Vec::is_empty")]
pub required_secrets: Vec<String>,
#[serde(default, skip_serializing_if = "BTreeMap::is_empty")]
pub secret_values: BTreeMap<String, String>,
}
impl FunctionRegistrationRequest {
pub(crate) fn validate_secret_values(&self) -> Result<()> {
let mut required = BTreeSet::new();
for name in &self.required_secrets {
if !is_portable_environment_name(name) {
return Err(Error::InvalidInput {
message: format!(
"Function secret name {name:?} must be a portable environment variable name"
),
});
}
if !required.insert(name) {
return Err(Error::InvalidInput {
message: format!("Function required_secrets contains duplicate name {name:?}"),
});
}
}
if let PythonRuntimeSpec::Python { env, .. } = &self.runtime
&& let Some(name) = required.iter().find(|name| env.contains_key(**name))
{
return Err(Error::InvalidInput {
message: format!(
"Function runtime env and secret names must be disjoint: {name:?}"
),
});
}
let provided = self.secret_values.keys().collect::<BTreeSet<_>>();
if required != provided {
return Err(Error::InvalidInput {
message: "Function secret_values keys must exactly match required_secrets"
.to_string(),
});
}
let mut total_bytes = 0usize;
for (name, value) in &self.secret_values {
if value.is_empty() {
return Err(Error::InvalidInput {
message: format!("Function secret {name:?} value must be non-empty"),
});
}
if value.contains('\0') {
return Err(Error::InvalidInput {
message: format!("Function secret {name:?} value must not contain NUL"),
});
}
if value.len() > MAX_FUNCTION_SECRET_VALUE_BYTES {
return Err(Error::InvalidInput {
message: format!(
"Function secret {name:?} value exceeds the \
{MAX_FUNCTION_SECRET_VALUE_BYTES}-byte limit"
),
});
}
total_bytes =
total_bytes
.checked_add(value.len())
.ok_or_else(|| Error::InvalidInput {
message: "Function secret values exceed the request byte limit".to_string(),
})?;
}
if total_bytes > MAX_FUNCTION_SECRET_VALUES_BYTES {
return Err(Error::InvalidInput {
message: format!(
"Function secret values exceed the \
{MAX_FUNCTION_SECRET_VALUES_BYTES}-byte request limit"
),
});
}
Ok(())
}
}
impl std::fmt::Debug for FunctionRegistrationRequest {
fn fmt(&self, formatter: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
let secret_values = self
.secret_values
.keys()
.map(|name| (name, "[REDACTED]"))
.collect::<BTreeMap<_, _>>();
formatter
.debug_struct("FunctionRegistrationRequest")
.field("name", &self.name)
.field("artifact", &self.artifact)
.field("signature", &self.signature)
.field("runtime", &self.runtime)
.field("required_secrets", &self.required_secrets)
.field("secret_values", &secret_values)
.finish()
}
}
impl_json!(FunctionRegistrationRequest);
@@ -672,9 +713,188 @@ impl RefreshColumnResult {
impl_json!(RefreshColumnResult);
#[cfg(test)]
mod secret_value_tests {
use super::{
FunctionRegistrationRequest, MAX_FUNCTION_SECRET_VALUE_BYTES,
MAX_FUNCTION_SECRET_VALUES_BYTES, PythonRuntimeSpec,
};
use crate::Error;
fn request() -> FunctionRegistrationRequest {
FunctionRegistrationRequest::from_json(include_str!(
"../tests/fixtures/first_class_functions/v1/remote_function_registration_request.json"
))
.unwrap()
}
#[test]
fn validates_secret_name_and_value_invariants() {
let missing = request();
assert!(matches!(
missing.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("exactly match")
));
let mut empty = request();
empty
.secret_values
.insert("API_TOKEN".to_string(), String::new());
assert!(matches!(
empty.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("non-empty")
));
let mut nul = request();
nul.secret_values
.insert("API_TOKEN".to_string(), "before\0after".to_string());
assert!(matches!(
nul.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("NUL")
));
let mut unexpected = request();
unexpected
.secret_values
.insert("OTHER".to_string(), "value".to_string());
assert!(matches!(
unexpected.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("exactly match")
));
}
#[test]
fn rejects_invalid_duplicate_and_overlapping_secret_declarations() {
let mut invalid_name = request();
invalid_name.required_secrets = vec!["BAD=NAME".to_string()];
invalid_name
.secret_values
.insert("BAD=NAME".to_string(), "secret".to_string());
let mut duplicate = request();
duplicate.required_secrets = vec!["API_TOKEN".to_string(), "API_TOKEN".to_string()];
duplicate
.secret_values
.insert("API_TOKEN".to_string(), "secret".to_string());
let mut overlap = request();
overlap
.secret_values
.insert("API_TOKEN".to_string(), "secret".to_string());
if let PythonRuntimeSpec::Python { env, .. } = &mut overlap.runtime {
env.insert("API_TOKEN".to_string(), "public".to_string());
}
assert!(matches!(
invalid_name.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("portable environment variable")
));
assert!(matches!(
duplicate.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("duplicate")
));
assert!(matches!(
overlap.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("must be disjoint")
));
}
#[test]
fn enforces_portable_secret_name_boundaries() {
for name in ["A", "_", "A0_"] {
let mut request = request();
request.required_secrets = vec![name.to_string()];
request
.secret_values
.insert(name.to_string(), "secret".to_string());
request.validate_secret_values().unwrap();
}
for name in ["", "0TOKEN", "BAD-NAME", "TÖKEN"] {
let mut request = request();
request.required_secrets = vec![name.to_string()];
request
.secret_values
.insert(name.to_string(), "secret".to_string());
assert!(matches!(
request.validate_secret_values(),
Err(Error::InvalidInput { message })
if message.contains("portable environment variable")
));
}
}
#[test]
fn accepts_exact_secret_value_utf8_byte_limit() {
for value in [
"x".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES),
"é".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES / "é".len()),
] {
assert_eq!(value.len(), MAX_FUNCTION_SECRET_VALUE_BYTES);
let mut request = request();
request.secret_values.insert("API_TOKEN".to_string(), value);
request.validate_secret_values().unwrap();
}
}
#[test]
fn rejects_secret_value_over_utf8_byte_limit() {
for value in [
"x".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES + 1),
"é".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES / "é".len() + 1),
] {
assert!(value.len() > MAX_FUNCTION_SECRET_VALUE_BYTES);
let mut request = request();
request.secret_values.insert("API_TOKEN".to_string(), value);
assert!(matches!(
request.validate_secret_values(),
Err(Error::InvalidInput { message }) if message.contains("65536-byte limit")
));
}
}
#[test]
fn rejects_aggregate_secret_value_bytes_over_server_limit() {
let mut request = request();
request.required_secrets = (0..9).map(|index| format!("SECRET_{index}")).collect();
request.secret_values = request
.required_secrets
.iter()
.map(|name| (name.clone(), "x".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES)))
.collect();
assert!(matches!(
request.validate_secret_values(),
Err(Error::InvalidInput { message })
if message.contains(&format!("{MAX_FUNCTION_SECRET_VALUES_BYTES}-byte request limit"))
));
}
#[test]
fn accepts_exact_aggregate_secret_value_byte_limit() {
let mut request = request();
request.required_secrets = (0..8).map(|index| format!("SECRET_{index}")).collect();
request.secret_values = request
.required_secrets
.iter()
.map(|name| (name.clone(), "x".repeat(MAX_FUNCTION_SECRET_VALUE_BYTES)))
.collect();
assert_eq!(
request
.secret_values
.values()
.map(String::len)
.sum::<usize>(),
MAX_FUNCTION_SECRET_VALUES_BYTES
);
request.validate_secret_values().unwrap();
}
}
#[cfg(test)]
mod conda_environment_tests {
use super::{PythonEnvironmentSpec, PythonRuntimeSpec};
use super::PythonEnvironmentSpec;
#[test]
fn conda_channels_round_trip_and_pip_stays_bare() {
@@ -693,45 +913,4 @@ mod conda_environment_tests {
serde_json::from_str(r#"{"kind":"pip","packages":["numpy"]}"#).unwrap();
assert!(!serde_json::to_string(&pip).unwrap().contains("channels"));
}
#[test]
fn gpu_python_runtime_marker_round_trips_and_validates() {
let runtime: PythonRuntimeSpec = serde_json::from_str(
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"},"gpu":true}"#,
)
.unwrap();
assert_eq!(runtime.kind(), "python_v2");
assert!(runtime.requires_gpu());
assert_eq!(
super::canonical_json(&runtime).unwrap(),
r#"{"environment":{"kind":"pip"},"gpu":true,"kind":"python_v2","python_version":"3.12"}"#
);
for invalid in [
r#"{"kind":"python","python_version":"3.12","environment":{"kind":"pip"},"gpu":true}"#,
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"}}"#,
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"},"gpu":1}"#,
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"},"gpu":false}"#,
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"},"gpu":"true"}"#,
r#"{"kind":"python_v2","python_version":"3.12","environment":{"kind":"pip"},"gpu":"H100"}"#,
] {
assert!(serde_json::from_str::<PythonRuntimeSpec>(invalid).is_err());
}
}
#[test]
fn unknown_runtime_discards_payload_before_known_field_validation() {
for encoded in [
r#"{"kind":"python_v3","gpu":{"model":"H100"}}"#,
r#"{"kind":"python_v3","resources":[]}"#,
r#"{"kind":"python_v3","python_version":3.15,"environment":{"kind":[]}}"#,
] {
let runtime: PythonRuntimeSpec = serde_json::from_str(encoded).unwrap();
assert_eq!(runtime.kind(), "python_v3");
assert_eq!(
super::canonical_json(&runtime).unwrap(),
r#"{"kind":"python_v3"}"#
);
}
}
}
+9 -1
View File
@@ -10,7 +10,7 @@ use lance::io::WrappingObjectStore;
use object_store::{
CopyOptions, Error, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta,
ObjectStore, ObjectStoreExt, PutMultipartOptions, PutOptions, PutPayload, PutResult, Result,
UploadPart, path::Path,
UploadPart, list::PaginatedListStore, path::Path,
};
use async_trait::async_trait;
@@ -187,6 +187,14 @@ impl WrappingObjectStore for MirroringObjectStoreWrapper {
secondary: self.secondary.clone(),
})
}
fn wrap_paginated(
&self,
_store_prefix: &str,
original: Arc<dyn PaginatedListStore>,
) -> Option<Arc<dyn PaginatedListStore>> {
Some(original)
}
}
// windows pathing can't be simply concatenated
@@ -12,7 +12,7 @@ use lance::io::WrappingObjectStore;
use object_store::{
CopyOptions, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore,
PutMultipartOptions, PutOptions, PutPayload, PutResult, RenameOptions, Result as OSResult,
UploadPart, path::Path,
UploadPart, list::PaginatedListStore, path::Path,
};
#[derive(Debug, Default)]
@@ -57,6 +57,14 @@ impl WrappingObjectStore for IoStatsHolder {
stats: self.0.clone(),
})
}
fn wrap_paginated(
&self,
_store_prefix: &str,
original: Arc<dyn PaginatedListStore>,
) -> Option<Arc<dyn PaginatedListStore>> {
Some(original)
}
}
impl IoTrackingStore {
+100 -15
View File
@@ -7,6 +7,7 @@ use reqwest::{
Body, Request, RequestBuilder, Response,
header::{HeaderMap, HeaderValue},
};
use serde_json::Value;
use std::{collections::HashMap, future::Future, str::FromStr, sync::Arc, time::Duration};
use crate::error::{Error, Result};
@@ -14,6 +15,60 @@ use crate::remote::db::RemoteOptions;
use crate::remote::retry::{ResolvedRetryConfig, RetryCounter};
const REQUEST_ID_HEADER: HeaderName = HeaderName::from_static("x-request-id");
const REDACTED_JSON_VALUE: &str = "[REDACTED]";
const SUPPRESSED_JSON_BODY: &str = "[JSON BODY SUPPRESSED]";
fn is_sensitive_json_field(name: &str) -> bool {
name.to_ascii_lowercase().contains("secret")
}
fn redact_sensitive_json_fields(value: &mut Value) {
match value {
Value::Object(fields) => {
for (name, child) in fields {
if is_sensitive_json_field(name) {
*child = Value::String(REDACTED_JSON_VALUE.to_string());
} else {
redact_sensitive_json_fields(child);
}
}
}
Value::Array(values) => values.iter_mut().for_each(redact_sensitive_json_fields),
_ => {}
}
}
fn redacted_json_body(request: &Request) -> Option<String> {
let body = request.body()?.as_bytes()?;
let mut value = serde_json::from_slice(body).ok()?;
redact_sensitive_json_fields(&mut value);
serde_json::to_string(&value).ok()
}
fn request_log_message(request: &Request, request_id: &str) -> String {
let prefix = format!(
"Sending request_id={}: {} {}",
request_id,
request.method(),
request.url()
);
let content_type = request
.headers()
.get("content-type")
.and_then(|value| value.to_str().ok())
.and_then(|value| value.split(';').next());
if content_type.is_some_and(|value| value.eq_ignore_ascii_case("application/json")) {
// Never format the raw Request here: its Debug representation is not a
// redaction boundary and may include the original body. If the JSON body
// cannot be structurally parsed, suppress it instead of logging raw bytes.
let body = redacted_json_body(request).unwrap_or_else(|| SUPPRESSED_JSON_BODY.to_string());
format!("{prefix} with body {body}")
} else {
// Method and URL are sufficient request context. Raw Request formatting
// may expose headers or a non-JSON body, so it is never a logging fallback.
prefix
}
}
/// Configuration for TLS/mTLS settings.
#[derive(Clone, Debug)]
@@ -839,22 +894,9 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
}
}
pub(crate) fn log_request(&self, request: &Request, request_id: &String) {
pub(crate) fn log_request(&self, request: &Request, request_id: &str) {
if log::log_enabled!(log::Level::Debug) {
let content_type = request
.headers()
.get("content-type")
.map(|v| v.to_str().unwrap());
if content_type == Some("application/json") {
let body = request.body().as_ref().unwrap().as_bytes().unwrap();
let body = String::from_utf8_lossy(body);
debug!(
"Sending request_id={}: {:?} with body {}",
request_id, request, body
);
} else {
debug!("Sending request_id={}: {:?}", request_id, request);
}
debug!("{}", request_log_message(request, request_id));
}
}
@@ -1077,6 +1119,49 @@ mod tests {
ENV_MUTEX.lock().unwrap_or_else(|e| e.into_inner())
}
#[test]
fn test_request_log_message_redacts_secrets_and_never_formats_raw_requests() {
const SECRET_SENTINEL: &str = "udf-secret-log-sentinel-7e4e";
const MALFORMED_SENTINEL: &str = "malformed-secret-log-sentinel-b652";
const NON_JSON_SENTINEL: &str = "non-json-secret-log-sentinel-7fd1";
let request = reqwest::Client::new()
.post("https://example.com/v1/functions/create")
.json(&serde_json::json!({
"name": "uses_secret",
"nested": {
"secret_values": {"OPENAI_API_KEY": SECRET_SENTINEL},
"safe": "visible-value"
}
}))
.build()
.unwrap();
let log_message = request_log_message(&request, "valid-json");
let malformed_request = reqwest::Client::new()
.post("https://example.com/v1/functions/create")
.header("content-type", "application/json; charset=utf-8")
.body(format!(r#"{{"secret_values":"{MALFORMED_SENTINEL}""#))
.build()
.unwrap();
let malformed_log_message = request_log_message(&malformed_request, "malformed-json");
let non_json_request = reqwest::Client::new()
.post("https://example.com/v1/functions/create")
.header("content-type", "text/plain")
.body(NON_JSON_SENTINEL)
.build()
.unwrap();
let non_json_log_message = request_log_message(&non_json_request, "non-json");
assert!(log_message.contains("visible-value"));
assert!(log_message.contains(REDACTED_JSON_VALUE));
assert!(!log_message.contains(SECRET_SENTINEL));
assert!(malformed_log_message.contains(SUPPRESSED_JSON_BODY));
assert!(!malformed_log_message.contains(MALFORMED_SENTINEL));
assert!(!non_json_log_message.contains(NON_JSON_SENTINEL));
}
#[test]
fn test_timeout_config_default() {
let config = TimeoutConfig::default();
+33 -2
View File
@@ -554,6 +554,7 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
&self,
request: FunctionRegistrationRequest,
) -> Result<Job<FunctionVersion>> {
request.validate_secret_values()?;
let req = self.client.post("/v1/functions/create").json(&request);
let (request_id, response) = self.client.send(req).await?;
let response = self.client.check_response(&request_id, response).await?;
@@ -2642,7 +2643,8 @@ mod tests {
);
const FUNCTION_JOB: &str =
include_str!("../../tests/fixtures/first_class_functions/v1/remote_function_job.json");
let expected: serde_json::Value = serde_json::from_str(REQUEST).unwrap();
let mut expected: serde_json::Value = serde_json::from_str(REQUEST).unwrap();
expected["secret_values"] = serde_json::json!({"API_TOKEN": "secret-value"});
let conn = Connection::new_with_handler(move |request| match request.url().path() {
"/v1/functions/create" => {
assert_eq!(request.method(), &reqwest::Method::POST);
@@ -2660,7 +2662,10 @@ mod tests {
.unwrap(),
path => panic!("unexpected path: {path}"),
});
let request = crate::function::FunctionRegistrationRequest::from_json(REQUEST).unwrap();
let mut request = crate::function::FunctionRegistrationRequest::from_json(REQUEST).unwrap();
request
.secret_values
.insert("API_TOKEN".to_string(), "secret-value".to_string());
let job = conn.create_function_async(request).await.unwrap();
assert_eq!(job.id(), Some("job-function-1"));
let version = job.wait().await.unwrap();
@@ -2668,6 +2673,32 @@ mod tests {
assert_eq!(version.version(), "fv_01K3EXACT");
}
#[tokio::test]
async fn test_create_function_async_validates_secrets_before_serialization_and_send() {
const REQUEST: &str = include_str!(
"../../tests/fixtures/first_class_functions/v1/remote_function_registration_request.json"
);
let sends = Arc::new(AtomicUsize::new(0));
let sends_ref = sends.clone();
let conn = Connection::new_with_handler(move |_| {
sends_ref.fetch_add(1, Ordering::SeqCst);
http::Response::builder().status(500).body("").unwrap()
});
let mut request = crate::function::FunctionRegistrationRequest::from_json(REQUEST).unwrap();
request.secret_values.insert(
"API_TOKEN".to_string(),
"x".repeat(crate::function::MAX_FUNCTION_SECRET_VALUE_BYTES + 1),
);
let error = conn.create_function_async(request).await.unwrap_err();
assert!(matches!(
error,
Error::InvalidInput { message } if message.contains("65536-byte limit")
));
assert_eq!(sends.load(Ordering::SeqCst), 0);
}
#[tokio::test]
async fn test_get_function_requires_and_sends_exact_version() {
const VERSION: &str = include_str!(
+7 -93
View File
@@ -3180,8 +3180,8 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
self.schema().await?.as_ref(),
"schema evolution",
)?;
// The server plans the declaration against its table schema, including
// Blob v2 semantics inherited by a direct field projection.
// The server plans the declaration: expression validation, type
// inference and the persisted binding all happen there.
let entries = columns
.iter()
.map(
@@ -5734,8 +5734,9 @@ mod tests {
))
.execute()
.await;
let Err(err) = result else {
panic!("legacy remote query unexpectedly succeeded")
let err = match result {
Ok(_) => panic!("legacy remote query unexpectedly succeeded"),
Err(err) => err,
};
assert!(
@@ -7387,8 +7388,8 @@ mod tests {
assert_eq!(result.version, if old_server { 0 } else { 43 });
}
/// A declaration is sent as `{name, computed}` for the server to plan; the
/// client never types the expression itself.
/// A declaration is sent as `{name, computed}` entries for the server to
/// plan; the client never types the expression itself.
#[tokio::test]
async fn test_add_computed_columns_sends_the_expression() {
let table = Table::new_with_handler("my_table", |request| match request.url().path() {
@@ -7464,93 +7465,6 @@ mod tests {
assert_eq!(result.version, 8);
}
#[tokio::test]
async fn test_add_function_column_allows_an_existing_binding() {
let binding = crate::function::FunctionBinding::from_json(include_str!(
"../../tests/fixtures/first_class_functions/v1/remote_function_binding.json"
))
.unwrap();
let binding_metadata = crate::table::computed_columns::function_bindings_metadata(
std::slice::from_ref(&binding),
)
.unwrap();
let mut fields = vec![
Field::new("title", DataType::Utf8, true),
Field::new("body", DataType::Utf8, true),
];
fields.extend(binding.outputs().iter().map(|output| {
let data_type = match output.arrow_type.as_str() {
"utf8" => DataType::Utf8,
"int64" => DataType::Int64,
other => panic!("unexpected fixture output type {other}"),
};
Field::new(&output.output_name, data_type, true).with_metadata(
crate::table::computed_columns::function_computed_column_metadata(
binding.binding_id(),
output.output_ordinal,
&["title".into(), "body".into()],
),
)
}));
let schema = Schema::new_with_metadata(
fields,
HashMap::from([(
crate::table::computed_columns::FUNCTION_BINDINGS_META_KEY.to_string(),
binding_metadata,
)]),
);
let table =
Table::new_with_handler("my_table", move |request| match request.url().path() {
"/v1/table/my_table/describe/" => http::Response::builder()
.status(200)
.body(describe_response(&schema))
.unwrap(),
"/v1/table/my_table/add_columns/" => {
let actual: serde_json::Value =
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap())
.unwrap();
assert_eq!(
actual["new_columns"],
serde_json::json!([
{"name":"secondary_text","all_null":true},
{"name":"secondary_token_count","all_null":true}
])
);
http::Response::builder()
.status(200)
.body(r#"{"version":10}"#.to_string())
.unwrap()
}
path => panic!("Unexpected path: {path}"),
});
let application = crate::function::FunctionApplication::from_json(
r#"{
"function":{"name":"text_features","version":"fv_01K3TEXT"},
"inputs":[
{"parameter":"title","kind":"column","value":{"path":"title"}},
{"parameter":"body","kind":"column","value":{"path":"body"}}
],
"output":{"kind":"named_struct","fields":[
{"name":"normalized_text","arrow_type":"utf8","nullable":false},
{"name":"token_count","arrow_type":"int64","nullable":false}
]},
"columns":{
"normalized_text":"secondary_text",
"token_count":"secondary_token_count"
}
}"#,
)
.unwrap();
let result = table
.add_columns()
.function(application)
.execute()
.await
.unwrap();
assert_eq!(result.version, 10);
}
#[tokio::test]
async fn test_add_fixed_size_list_function_column_declares_the_vector_type() {
let table = Table::new_with_handler("my_table", |request| {
+18 -9
View File
@@ -750,8 +750,8 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
/// Declare computed columns, each defined by a SQL expression.
///
/// Where the declaration is planned depends on the backend: a local table
/// validates and types the expression itself, while a remote one sends the
/// expression for the server to plan.
/// validates and types the expression itself, a remote one sends the text
/// for the server to plan.
async fn add_computed_columns(
&self,
_columns: &[(String, String)],
@@ -4183,6 +4183,14 @@ mod tests {
parent_list_calls: self.parent_list_calls.clone(),
})
}
fn wrap_paginated(
&self,
_store_prefix: &str,
_original: Arc<dyn object_store::list::PaginatedListStore>,
) -> Option<Arc<dyn object_store::list::PaginatedListStore>> {
None
}
}
#[tokio::test]
@@ -4286,6 +4294,14 @@ mod tests {
self.called.store(true, Ordering::Relaxed);
original
}
fn wrap_paginated(
&self,
_store_prefix: &str,
original: Arc<dyn object_store::list::PaginatedListStore>,
) -> Option<Arc<dyn object_store::list::PaginatedListStore>> {
Some(original)
}
}
#[tokio::test]
@@ -5747,13 +5763,6 @@ mod tests {
assert!(index_bytes > 0);
assert_eq!(with_index, data_only + index_bytes);
// Release builds reject unstable overlay datasets unless explicitly opted in.
if !lance_table::feature_flags::can_read_dataset(
lance_table::feature_flags::FLAG_UNSTABLE_DATA_OVERLAY_FILES,
) {
return;
}
// Commit an overlay file supplying new `foo` values for the first three
// rows of fragment 0. There is no high-level API that writes overlays
// yet, so write the overlay's data file and commit the `DataOverlay`
File diff suppressed because it is too large Load Diff
+1 -1
View File
@@ -300,7 +300,7 @@ async fn build_read_context(
for shard_id in shard_ids {
let manifest_store =
ShardManifestStore::new(store.clone(), &base_path, shard_id, scan_batch_size);
if let Some(manifest) = manifest_store.read_latest().await? {
if let Some(manifest) = manifest_store.latest().await? {
snapshots.push(snapshot_from_manifest(shard_id, &manifest, &exclude));
}
}
+24 -688
View File
@@ -7,16 +7,6 @@
//! therefore idempotent and does not observe input mutation -- once a row is
//! filled, changing what the expression reads leaves the stored result alone.
//!
//! A column's computed inputs are filled first -- the dependency graph is
//! walked once, each reachable column filled once in dependency order, each
//! fill its own commit. Every fill in the pass, the requested column's
//! included, covers only the fragments of the snapshot the pass started
//! from: a commit may rebase over a concurrent append, and the fragment that
//! admits carries placeholder nulls no earlier fill covered, so it waits for
//! a later refresh rather than being read as values. Two concurrent fills of
//! one input collide on its field in lance's conflict check, so a dependent
//! fill can only commit over inputs that were durable when it read them.
//!
//! Two passes per fragment. The first scans only the unfilled live rows and
//! evaluates the expression over them, which yields the exact fill count and
//! decides whether the fragment is staged at all -- a fragment where nothing
@@ -29,14 +19,10 @@
//! inputs masked to null first, so a poison value in a row nobody is filling
//! cannot fail the refresh.
use std::collections::HashSet;
use std::sync::Arc;
use arrow_array::{
Array, ArrayRef, BooleanArray, LargeBinaryArray, RecordBatch, RecordBatchOptions, StructArray,
new_null_array,
};
use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema};
use arrow_array::{ArrayRef, BooleanArray, RecordBatch, RecordBatchOptions};
use arrow_schema::Schema as ArrowSchema;
use datafusion_expr::ColumnarValue;
use futures::{Stream, StreamExt, TryStreamExt};
use lance::Dataset;
@@ -44,7 +30,7 @@ use lance::dataset::WriteDestination;
use lance::dataset::fragment::FileFragment;
use lance::dataset::transaction::Operation;
use lance_core::ROW_ID;
use lance_core::datatypes::{BlobHandling, Schema as LanceSchema};
use lance_core::datatypes::Schema as LanceSchema;
use serde::{Deserialize, Serialize};
use super::computed_columns::{BoundExpression, ComputedColumnKind, computed_column_from_field};
@@ -55,8 +41,7 @@ use crate::{Error, Result};
/// The result of refreshing a computed column.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, Default)]
pub struct RefreshColumnResult {
/// Rows that had a value computed, in the requested column only; inputs
/// filled on its behalf are not counted.
/// Rows that had a value computed.
#[serde(default)]
pub rows_filled: u64,
/// The commit version associated with the operation.
@@ -67,7 +52,6 @@ pub struct RefreshColumnResult {
struct RefreshExecution {
result: RefreshColumnResult,
source_version: u64,
published_version: Option<u64>,
}
/// Internal implementation of the refresh logic.
@@ -90,12 +74,7 @@ async fn execute_refresh_column_with_source(
let expression = declared_expression(&dataset, column)?;
let schema = Arc::new(ArrowSchema::from(dataset.schema()));
let bound = Arc::new(super::computed_columns::bind(
schema.clone(),
column,
&expression,
)?);
ensure_inputs_filled(&dataset, &schema, column, &bound).await?;
let bound = Arc::new(super::computed_columns::bind(schema, column, &expression)?);
let field = dataset
.schema()
.field(column)
@@ -108,7 +87,6 @@ async fn execute_refresh_column_with_source(
fields: vec![field.clone()],
metadata: Default::default(),
};
let output_is_blob = field.is_blob_v2();
let mut rows_filled = 0u64;
let mut replacements = Vec::new();
@@ -118,30 +96,29 @@ async fn execute_refresh_column_with_source(
continue;
}
rows_filled += gained;
let values =
fill_stream(&dataset, &fragment, bound.clone(), column, output_is_blob).await?;
let values = fill_stream(&dataset, &fragment, bound.clone(), column).await?;
replacements.push(fragment.write_columns(values, &column_schema).await?);
}
let source_version = dataset.version().version;
if replacements.is_empty() {
let source_version = dataset.version().version;
return Ok(RefreshExecution {
result: RefreshColumnResult {
rows_filled: 0,
version: source_version,
},
source_version,
published_version: None,
});
}
let read_version = dataset.version().version;
// The dataset's own session, so registrations and caches survive the
// commit being installed on the handle.
let session = dataset.session();
let new_dataset = Dataset::commit(
WriteDestination::Dataset(dataset.clone()),
Operation::DataReplacement { replacements },
Some(source_version),
Some(read_version),
None,
None,
session,
@@ -156,52 +133,10 @@ async fn execute_refresh_column_with_source(
rows_filled,
version,
},
source_version,
published_version: Some(version),
source_version: read_version,
})
}
/// Refuse while a computed input still has rows a refresh of it would fill:
/// read now, its placeholder null would be evaluated as a value and kept.
async fn ensure_inputs_filled(
dataset: &Dataset,
schema: &Arc<ArrowSchema>,
column: &str,
bound: &BoundExpression,
) -> Result<()> {
for input in &bound.roots {
let Some(declaration) = schema
.field_with_name(input)
.ok()
.and_then(computed_column_from_field)
else {
continue;
};
let ComputedColumnKind::Sql { expression } = &declaration.kind else {
return Err(Error::NotSupported {
message: format!(
"computed column '{column}' reads '{input}', whose fill state this \
refresh cannot check; refresh '{input}' first"
),
});
};
let input_bound = super::computed_columns::bind(schema.clone(), input, expression)?;
let mut unfilled = 0u64;
for fragment in dataset.get_fragments() {
unfilled += count_fragment_gains(dataset, &fragment, &input_bound, input).await?;
}
if unfilled > 0 {
return Err(Error::InvalidInput {
message: format!(
"computed column '{column}' reads '{input}', which has {unfilled} unfilled \
rows; refresh '{input}' first"
),
});
}
}
Ok(())
}
/// Run the refresh as a [`Job`] in this process.
pub(crate) async fn execute_refresh_column_async(
table: &NativeTable,
@@ -225,7 +160,8 @@ pub(crate) async fn execute_refresh_column_async(
rows_failed: 0,
rows_remaining: 0,
source_version: execution.source_version,
published_version: execution.published_version,
published_version: (execution.result.rows_filled > 0)
.then_some(execution.result.version),
})
})))
}
@@ -300,15 +236,12 @@ fn evaluation_batch(
mask_out: Option<&BooleanArray>,
) -> lance_core::Result<RecordBatch> {
let mut columns = Vec::with_capacity(bound.roots.len());
let mut fields = Vec::with_capacity(bound.roots.len());
for name in &bound.roots {
let index = batch.schema_ref().index_of(name).map_err(|_| {
let column = batch.column_by_name(name).ok_or_else(|| {
lance_core::Error::invalid_input(format!(
"refreshing a computed column read no {name} column"
))
})?;
let column = batch.column(index);
fields.push(batch.schema_ref().field(index).clone());
// Rows outside the mask must not reach the expression: a value in a
// deleted or already-filled row can be one it would choke on.
columns.push(match mask_out {
@@ -317,7 +250,7 @@ fn evaluation_batch(
});
}
Ok(RecordBatch::try_new_with_options(
Arc::new(ArrowSchema::new(fields)),
bound.read_schema.clone(),
columns,
&RecordBatchOptions::new().with_row_count(Some(batch.num_rows())),
)?)
@@ -338,99 +271,6 @@ fn evaluate(bound: &BoundExpression, batch: &RecordBatch) -> lance_core::Result<
}
}
fn materialized_blob_ids(schema: &LanceSchema, paths: &[String]) -> Result<HashSet<u32>> {
paths
.iter()
.map(|path| {
let field = schema
.resolve(path)
.and_then(|fields| fields.last().copied())
.ok_or_else(|| Error::InvalidInput {
message: format!("computed Blob input '{path}' no longer exists"),
})?;
if !field.is_blob_v2() {
return Err(Error::InvalidInput {
message: format!("computed Blob input '{path}' is no longer Blob v2"),
});
}
u32::try_from(field.id).map_err(|_| Error::InvalidInput {
message: format!(
"computed Blob input '{path}' has invalid field id {}",
field.id
),
})
})
.collect()
}
fn configure_blob_inputs(
scanner: &mut lance::dataset::scanner::Scanner,
schema: &LanceSchema,
bound: &BoundExpression,
extra_blob_id: Option<u32>,
) -> Result<()> {
let mut ids = materialized_blob_ids(schema, &bound.blob_paths)?;
ids.extend(extra_blob_id);
scanner.blob_handling(BlobHandling::SomeBlobsBinary(ids));
Ok(())
}
fn blob_array_from_binary(
array: &ArrayRef,
target_field: &ArrowField,
) -> lance_core::Result<ArrayRef> {
let values = array
.as_any()
.downcast_ref::<LargeBinaryArray>()
.ok_or_else(|| {
lance_core::Error::invalid_input(format!(
"a Blob v2 computed output produced {}, expected LargeBinary",
array.data_type()
))
})?;
let mut builder = lance::blob::BlobArrayBuilder::new(values.len());
for index in 0..values.len() {
if values.is_null(index) {
builder.push_null()?;
} else {
builder.push_bytes(values.value(index))?;
}
}
let minimal = builder.finish()?;
let minimal = minimal
.as_any()
.downcast_ref::<StructArray>()
.ok_or_else(|| lance_core::Error::internal("Blob builder returned a non-struct array"))?;
let DataType::Struct(target_fields) = target_field.data_type() else {
return Err(lance_core::Error::invalid_input(format!(
"Blob v2 output field '{}' has non-struct type {}",
target_field.name(),
target_field.data_type()
)));
};
let columns = target_fields
.iter()
.map(|field| match field.name().as_str() {
"data" | "uri" => minimal
.column_by_name(field.name())
.cloned()
.ok_or_else(|| {
lance_core::Error::internal(format!("Blob builder omitted '{}'", field.name()))
}),
"position" | "size" => Ok(new_null_array(field.data_type(), minimal.len())),
name => Err(lance_core::Error::invalid_input(format!(
"Blob v2 output field '{}' has unsupported logical child '{name}'",
target_field.name()
))),
})
.collect::<lance_core::Result<Vec<_>>>()?;
Ok(Arc::new(StructArray::try_new(
target_fields.clone(),
columns,
minimal.nulls().cloned(),
)?))
}
/// How many rows of one fragment would gain a value.
///
/// Scans only the unfilled live rows -- deleted rows never reach the
@@ -449,7 +289,6 @@ async fn count_fragment_gains(
.with_row_id()
.filter(&format!("{} IS NULL", quote_identifier(column)))?
.project(&bound.roots)?;
configure_blob_inputs(&mut scanner, dataset.schema(), bound, None)?;
let mut gained = 0u64;
let mut batches = scanner.try_into_stream().await?;
@@ -471,7 +310,6 @@ async fn fill_stream(
fragment: &FileFragment,
bound: Arc<BoundExpression>,
column: &str,
output_is_blob: bool,
) -> Result<impl Stream<Item = lance_core::Result<RecordBatch>> + Send + use<>> {
let mut projection: Vec<String> = bound.roots.clone();
projection.push(column.to_string());
@@ -481,20 +319,6 @@ async fn fill_stream(
.with_row_id()
.include_deleted_rows()
.project(&projection)?;
let output_blob_id = output_is_blob
.then(|| {
dataset
.schema()
.field(column)
.and_then(|field| u32::try_from(field.id).ok())
})
.flatten();
configure_blob_inputs(
&mut scanner,
dataset.schema(),
bound.as_ref(),
output_blob_id,
)?;
let projected = Arc::new(ArrowSchema::new(vec![
ArrowSchema::from(dataset.schema())
@@ -530,11 +354,6 @@ async fn fill_stream(
let computed = evaluate(&bound, &evaluation_batch(&batch, &bound, Some(&keep))?)?;
let merged = arrow_select::zip::zip(&fill, &computed, existing)?;
let merged = if output_is_blob {
blob_array_from_binary(&merged, projected.field(0))?
} else {
merged
};
Ok(RecordBatch::try_new(projected.clone(), vec![merged])?)
}))
}
@@ -543,12 +362,8 @@ async fn fill_stream(
mod tests {
use std::sync::Arc;
use arrow_array::{
Array, ArrayRef, Int32Array, LargeBinaryArray, RecordBatch, StructArray, record_batch,
};
use arrow_schema::Field as ArrowField;
use arrow_array::{Int32Array, record_batch};
use futures::TryStreamExt;
use lance_core::ROW_ID;
use crate::connect;
use crate::query::{ExecutableQuery, QueryBase, Select};
@@ -569,8 +384,7 @@ mod tests {
.version)
}
async fn read(table: &Table, column: &str) -> Vec<Option<i64>> {
use arrow_array::{Array, Int64Array};
async fn read(table: &Table, column: &str) -> Vec<Option<i32>> {
let batches = table
.query()
.select(Select::columns(&[column]))
@@ -580,19 +394,15 @@ mod tests {
.try_collect::<Vec<_>>()
.await
.unwrap();
let mut values: Vec<Option<i64>> = batches
let mut values: Vec<Option<i32>> = batches
.iter()
.flat_map(|batch| {
let array = &batch[column];
match array.as_any().downcast_ref::<Int32Array>() {
Some(ints) => ints.iter().map(|v| v.map(i64::from)).collect::<Vec<_>>(),
None => array
.as_any()
.downcast_ref::<Int64Array>()
.unwrap()
.iter()
.collect::<Vec<_>>(),
}
batch[column]
.as_any()
.downcast_ref::<Int32Array>()
.unwrap()
.iter()
.collect::<Vec<_>>()
})
.collect();
values.sort();
@@ -604,117 +414,6 @@ mod tests {
table.add(batch).execute().await.unwrap();
}
#[test]
fn test_blob_output_matches_complete_logical_field() {
let values: ArrayRef = Arc::new(LargeBinaryArray::from(vec![
Some(b"hello".as_slice()),
None,
]));
let field = ArrowField::new(
"image",
lance_core::datatypes::BLOB_V2_LOGICAL_TYPE.clone(),
true,
);
let output = super::blob_array_from_binary(&values, &field).unwrap();
assert_eq!(output.data_type(), field.data_type());
let output = output.as_any().downcast_ref::<StructArray>().unwrap();
assert_eq!(output.column_by_name("position").unwrap().null_count(), 2);
assert_eq!(output.column_by_name("size").unwrap().null_count(), 2);
}
/// The gate's reproducer: `b = coalesce(a, 0)` refreshed before `a`
/// must not bake zeros from `a`'s placeholder null. It is refused, and
/// names the input, until `a` is filled -- after every append too.
#[tokio::test]
async fn test_dependent_refresh_refuses_an_unfilled_input() {
let table = table_with("dependent_refresh_order", vec![1, 2, 3]).await;
table
.add_columns()
.computed("a", "x + 1")
.computed("b", "coalesce(a, 0)")
.execute()
.await
.unwrap();
let err = table.refresh_column("b").await.unwrap_err();
assert!(
matches!(&err, Error::InvalidInput { message } if message.contains("refresh 'a' first")),
"{err}"
);
assert_eq!(read(&table, "b").await, vec![None, None, None]);
assert_eq!(table.refresh_column("a").await.unwrap().rows_filled, 3);
assert_eq!(table.refresh_column("b").await.unwrap().rows_filled, 3);
assert_eq!(read(&table, "b").await, vec![Some(2), Some(3), Some(4)]);
append(&table, vec![10]).await;
assert!(table.refresh_column("b").await.is_err());
table.refresh_column("a").await.unwrap();
assert_eq!(table.refresh_column("b").await.unwrap().rows_filled, 1);
assert_eq!(
table.count_rows(Some("b = 0".to_string())).await.unwrap(),
0
);
}
/// Names that need quoting, and a nested input, survive the trip through
/// declaration metadata and the dependency check: the recorded inputs
/// are matched by name, never re-parsed as SQL.
#[tokio::test]
async fn test_dependent_refresh_handles_awkward_column_names() {
use arrow_array::{Int32Array, StructArray};
use arrow_schema::{DataType, Field, Fields};
let conn = connect("memory://").execute().await.unwrap();
let age_fields = Fields::from(vec![Field::new("age", DataType::Int32, true)]);
let meta = StructArray::new(
age_fields.clone(),
vec![Arc::new(Int32Array::from(vec![10, 20])) as _],
None,
);
let schema = Arc::new(arrow_schema::Schema::new(vec![
Field::new("camelCase", DataType::Int32, true),
Field::new("with-hyphen", DataType::Int32, true),
Field::new("meta", DataType::Struct(age_fields), true),
]));
let batch = arrow_array::RecordBatch::try_new(
schema,
vec![
Arc::new(Int32Array::from(vec![1, 2])) as _,
Arc::new(Int32Array::from(vec![100, 200])) as _,
Arc::new(meta) as _,
],
)
.unwrap();
let table = conn
.create_table("awkward_names", batch)
.execute()
.await
.unwrap();
table
.add_columns()
.computed("y", "`camelCase` * 2")
.computed("z", "coalesce(y, 0) + `with-hyphen` + meta.age")
.execute()
.await
.unwrap();
let z = crate::table::computed_columns::computed_columns(
table.schema().await.unwrap().as_ref(),
)
.into_iter()
.find(|c| c.name == "z")
.unwrap();
assert_eq!(z.inputs, vec!["meta.age", "with-hyphen", "y"]);
let err = table.refresh_column("z").await.unwrap_err();
assert!(err.to_string().contains("refresh 'y' first"), "{err}");
assert_eq!(table.refresh_column("y").await.unwrap().rows_filled, 2);
assert_eq!(table.refresh_column("z").await.unwrap().rows_filled, 2);
assert_eq!(read(&table, "z").await, vec![Some(112), Some(224)]);
}
#[tokio::test]
async fn test_refresh_fills_a_declared_column() {
let table = table_with("refresh_fills", vec![1, 2, 3]).await;
@@ -952,8 +651,7 @@ mod tests {
let read_back = read(&table, "doubled").await;
assert_eq!(read_back.len(), 20_000);
let mut expected: Vec<Option<i64>> =
values.iter().map(|v| Some(i64::from(v * 2))).collect();
let mut expected: Vec<Option<i32>> = values.iter().map(|v| Some(v * 2)).collect();
expected.sort();
assert_eq!(read_back, expected);
}
@@ -1310,366 +1008,4 @@ mod tests {
let err = table.refresh_column("embedding").await.unwrap_err();
assert!(matches!(err, Error::NotSupported { message } if message.contains("udf")));
}
fn blob_batch(ids: Vec<i32>, payloads: Vec<Option<&[u8]>>) -> RecordBatch {
use arrow_array::Int32Array;
use arrow_schema::{Field, Schema};
let mut builder = lance::blob::BlobArrayBuilder::new(payloads.len());
for payload in payloads {
match payload {
Some(payload) => builder.push_bytes(payload).unwrap(),
None => builder.push_null().unwrap(),
}
}
RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("id", arrow_schema::DataType::Int32, false),
crate::blob("image", true),
])),
vec![Arc::new(Int32Array::from(ids)), builder.finish().unwrap()],
)
.unwrap()
}
async fn create_blob_table(path: &std::path::Path, batch: RecordBatch) -> Table {
let conn = connect(path.to_str().unwrap()).execute().await.unwrap();
conn.create_table("blobs", batch).execute().await.unwrap()
}
#[tokio::test]
async fn test_refresh_inherits_and_publishes_blob_output() {
use arrow_array::UInt64Array;
use lance_arrow::{
BLOB_DEDICATED_SIZE_THRESHOLD_META_KEY, BLOB_INLINE_SIZE_THRESHOLD_META_KEY,
};
use lance_core::datatypes::BlobKind;
use crate::table::schema_evolution::FieldMetadataUpdate;
let tmp = tempfile::tempdir().unwrap();
let table = create_blob_table(
tmp.path(),
blob_batch(
vec![1, 2, 3, 4],
vec![Some(b"hello"), Some(b"ab"), Some(b""), None],
),
)
.await;
table
.add_columns()
.computed("image_copy", "image")
.execute()
.await
.unwrap();
table
.update_field_metadata(&[FieldMetadataUpdate::new("image_copy")
.set(BLOB_INLINE_SIZE_THRESHOLD_META_KEY, "1")
.set(BLOB_DEDICATED_SIZE_THRESHOLD_META_KEY, "4")])
.await
.unwrap();
let first_refresh = table.refresh_column("image_copy").await.unwrap();
assert_eq!(first_refresh.rows_filled, 3);
assert_eq!(
table.blob_columns().await.unwrap(),
vec!["image".to_string(), "image_copy".to_string()]
);
let batches = table
.query()
.with_row_id()
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let batch = arrow_select::concat::concat_batches(&batches[0].schema(), &batches).unwrap();
assert!(
batch
.column_by_name("image_copy")
.unwrap()
.as_any()
.is::<arrow_array::StructArray>()
);
let row_ids = batch
.column_by_name(ROW_ID)
.unwrap()
.as_any()
.downcast_ref::<UInt64Array>()
.unwrap()
.values()
.to_vec();
let original = table.fetch_blobs("image", &row_ids).await.unwrap();
let copied = table.fetch_blobs("image_copy", &row_ids).await.unwrap();
assert_eq!(original, copied);
let ids = batch
.column_by_name("id")
.unwrap()
.as_any()
.downcast_ref::<Int32Array>()
.unwrap();
let files = table
.fetch_blob_files("image_copy", &row_ids)
.await
.unwrap();
let mut layouts = ids
.values()
.iter()
.copied()
.zip(files)
.map(|(id, file)| (id, file.and_then(|file| file.kind())))
.collect::<Vec<_>>();
layouts.sort_by_key(|(id, _)| *id);
assert_eq!(
layouts,
vec![
(1, Some(BlobKind::Dedicated)),
(2, Some(BlobKind::Packed)),
(3, Some(BlobKind::Inline)),
(4, None),
]
);
table
.add(blob_batch(vec![5], vec![Some(b"appended")]))
.execute()
.await
.unwrap();
table
.optimize(crate::table::OptimizeAction::Compact {
options: crate::table::CompactionOptions::default(),
remap_options: None,
})
.await
.unwrap();
assert_eq!(
table
.refresh_column("image_copy")
.await
.unwrap()
.rows_filled,
1
);
assert_eq!(
table
.refresh_column("image_copy")
.await
.unwrap()
.rows_filled,
0
);
table.checkout(first_refresh.version).await.unwrap();
assert_eq!(table.count_rows(None).await.unwrap(), 4);
assert_eq!(
table.blob_columns().await.unwrap(),
vec!["image".to_string(), "image_copy".to_string()]
);
table.checkout_latest().await.unwrap();
}
#[tokio::test]
async fn test_refresh_inherits_nested_struct_blob_input() {
use arrow_array::{Int32Array, StructArray, UInt64Array};
use arrow_schema::{DataType, Field, Fields, Schema};
let tmp = tempfile::tempdir().unwrap();
let mut blob_builder = lance::blob::BlobArrayBuilder::new(2);
blob_builder.push_bytes(b"nested").unwrap();
blob_builder.push_null().unwrap();
let blob_field = crate::blob("image", true);
let metadata_fields = Fields::from(vec![blob_field.clone()]);
let metadata = StructArray::new(
metadata_fields.clone(),
vec![blob_builder.finish().unwrap()],
None,
);
let batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
Field::new("metadata", DataType::Struct(metadata_fields), true),
])),
vec![Arc::new(Int32Array::from(vec![1, 2])), Arc::new(metadata)],
)
.unwrap();
let table = create_blob_table(tmp.path(), batch).await;
table
.add_columns()
.computed("payload_copy", "metadata.image")
.execute()
.await
.unwrap();
assert_eq!(
table
.refresh_column("payload_copy")
.await
.unwrap()
.rows_filled,
1
);
assert_eq!(
table.blob_columns().await.unwrap(),
vec!["metadata.image".to_string(), "payload_copy".to_string()]
);
let batches = table
.query()
.with_row_id()
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let row_ids = batches[0]
.column_by_name(ROW_ID)
.unwrap()
.as_any()
.downcast_ref::<UInt64Array>()
.unwrap()
.values();
let payloads = table.fetch_blobs("payload_copy", row_ids).await.unwrap();
assert_eq!(payloads.value(0), b"nested");
assert!(payloads.is_null(1));
}
#[tokio::test]
async fn test_refresh_preserves_list_shape_when_materializing_blob_input() {
use arrow_array::{Int32Array, ListArray};
use arrow_buffer::{OffsetBuffer, ScalarBuffer};
use arrow_schema::{DataType, Field, Schema};
let tmp = tempfile::tempdir().unwrap();
let mut blob_builder = lance::blob::BlobArrayBuilder::new(3);
blob_builder.push_bytes(b"a").unwrap();
blob_builder.push_bytes(b"bb").unwrap();
blob_builder.push_null().unwrap();
let item = Arc::new(crate::blob("item", true));
let images = ListArray::new(
item.clone(),
OffsetBuffer::new(ScalarBuffer::from(vec![0, 2, 3])),
blob_builder.finish().unwrap(),
None,
);
let batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
Field::new("images", DataType::List(item), true),
])),
vec![Arc::new(Int32Array::from(vec![1, 2])), Arc::new(images)],
)
.unwrap();
let table = create_blob_table(tmp.path(), batch).await;
table
.add_columns()
.computed("image_payloads", "images")
.execute()
.await
.unwrap();
assert_eq!(
table
.refresh_column("image_payloads")
.await
.unwrap()
.rows_filled,
2
);
let batches = table
.query()
.select(Select::columns(&["image_payloads"]))
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let output = batches[0]
.column_by_name("image_payloads")
.unwrap()
.as_any()
.downcast_ref::<ListArray>()
.unwrap();
assert_eq!(output.value_offsets(), &[0, 2, 3]);
assert!(output.values().as_any().is::<LargeBinaryArray>());
}
#[tokio::test]
async fn test_refresh_inherits_external_blob_input() {
use arrow_array::{Int32Array, StringArray, UInt64Array};
use arrow_schema::{DataType, Field, Schema};
let tmp = tempfile::tempdir().unwrap();
let payload = b"external-payload";
let path = tmp.path().join("payload.bin");
std::fs::write(&path, payload).unwrap();
let uri = url::Url::from_file_path(path).unwrap().to_string();
let conn = connect(tmp.path().join("db").to_str().unwrap())
.execute()
.await
.unwrap();
let table = conn
.create_empty_table(
"external",
Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
crate::blob("image", true),
])),
)
.execute()
.await
.unwrap();
let batch = RecordBatch::try_new(
Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
Field::new("image", DataType::Utf8, true),
])),
vec![
Arc::new(Int32Array::from(vec![1])),
Arc::new(StringArray::from(vec![Some(uri)])),
],
)
.unwrap();
table
.add(batch)
.allow_external_blob_outside_bases(true)
.execute()
.await
.unwrap();
table
.add_columns()
.computed("payload_copy", "image")
.execute()
.await
.unwrap();
assert_eq!(
table
.refresh_column("payload_copy")
.await
.unwrap()
.rows_filled,
1
);
let batches = table
.query()
.with_row_id()
.execute()
.await
.unwrap()
.try_collect::<Vec<_>>()
.await
.unwrap();
let row_ids = batches[0]
.column_by_name(ROW_ID)
.unwrap()
.as_any()
.downcast_ref::<UInt64Array>()
.unwrap()
.values();
let payloads = table.fetch_blobs("payload_copy", row_ids).await.unwrap();
assert_eq!(payloads.value(0), payload);
}
}
@@ -20,6 +20,25 @@ fn job_result(name: &str) -> Value {
serde_json::from_str::<Value>(&fixture(name)).expect("remote Job fixture")["result"].clone()
}
fn assert_no_secret_values(value: &Value) {
match value {
Value::Object(values) => {
for (key, value) in values {
assert!(
!matches!(
key.as_str(),
"secret_value" | "secret_values" | "resolved_secret" | "resolved_secrets"
),
"client canonical value must not model resolved secret material"
);
assert_no_secret_values(value);
}
}
Value::Array(values) => values.iter().for_each(assert_no_secret_values),
_ => {}
}
}
#[test]
fn function_version_job_result_matches_shared_canonical_golden() {
let result = job_result("remote_function_job.json");
@@ -28,6 +47,7 @@ fn function_version_job_result_matches_shared_canonical_golden() {
assert_eq!(version.name(), "embed");
assert_eq!(version.version(), "fv_01K3EXACT");
assert_eq!(version.runtime_digest(), "sha256:runtime");
assert_eq!(version.required_secrets(), &["HF_TOKEN"]);
assert_eq!(
version.to_canonical_json().expect("canonical JSON"),
fixture("remote_function_version.canonical.json").trim()
@@ -142,3 +162,21 @@ fn floating_point_application_literals_are_rejected_consistently() {
.contains("floating-point Function literals")
);
}
#[test]
fn canonical_client_values_contain_secret_names_only() {
let result = job_result("remote_function_job.json");
let version = FunctionVersion::from_json(&result.to_string()).expect("FunctionVersion result");
let canonical: Value = serde_json::from_str(
&version
.to_canonical_json()
.expect("canonical FunctionVersion"),
)
.expect("canonical JSON");
assert_eq!(
canonical["required_secrets"],
serde_json::json!(["HF_TOKEN"])
);
assert_no_secret_values(&canonical);
}
@@ -6,6 +6,7 @@ use std::path::PathBuf;
use lancedb::Error;
use lancedb::function::FunctionRegistrationRequest;
use serde_json::Value;
fn fixture(name: &str) -> String {
let path = PathBuf::from(env!("CARGO_MANIFEST_DIR"))
@@ -14,6 +15,25 @@ fn fixture(name: &str) -> String {
fs::read_to_string(path).expect("fixture must be readable")
}
fn assert_no_secret_values(value: &Value) {
match value {
Value::Object(values) => {
for (key, value) in values {
assert!(
!matches!(
key.as_str(),
"secret_value" | "secret_values" | "resolved_secret" | "resolved_secrets"
),
"registration requests must not model resolved secret material"
);
assert_no_secret_values(value);
}
}
Value::Array(values) => values.iter().for_each(assert_no_secret_values),
_ => {}
}
}
#[test]
fn registration_request_matches_shared_canonical_golden() {
let request = FunctionRegistrationRequest::from_json(&fixture(
@@ -22,10 +42,33 @@ fn registration_request_matches_shared_canonical_golden() {
.expect("registration request");
assert_eq!(request.name, "normalize_score");
assert_eq!(request.artifact.adapter.kind, "scalar_to_arrow_batch");
assert_eq!(request.required_secrets, ["API_TOKEN"]);
assert!(request.secret_values.is_empty());
assert_eq!(
request.to_canonical_json().expect("canonical request"),
fixture("remote_function_registration_request.canonical.json").trim()
);
let value: Value =
serde_json::from_str(&request.to_canonical_json().expect("canonical request"))
.expect("request JSON");
assert_no_secret_values(&value);
}
#[test]
fn registration_request_serializes_secret_values_but_redacts_debug_output() {
let mut value: Value =
serde_json::from_str(&fixture("remote_function_registration_request.json")).unwrap();
value["secret_values"] = serde_json::json!({"API_TOKEN": "secret-plaintext"});
let request = FunctionRegistrationRequest::from_json(&value.to_string()).unwrap();
assert_eq!(request.secret_values["API_TOKEN"], "secret-plaintext");
let canonical = request.to_canonical_json().unwrap();
assert!(canonical.contains("secret-plaintext"));
let debug = format!("{request:?}");
assert!(debug.contains("API_TOKEN"));
assert!(debug.contains("[REDACTED]"));
assert!(!debug.contains("secret-plaintext"));
}
#[tokio::test]
@@ -78,12 +78,6 @@
"type": "utf8"
}
},
{
"arrow_type": "large_utf8",
"json": {
"type": "large_utf8"
}
},
{
"arrow_type": "binary",
"json": {
@@ -177,21 +171,6 @@
]
}
},
{
"arrow_type": "list<large_utf8>",
"json": {
"type": "list",
"fields": [
{
"name": "item",
"nullable": false,
"type": {
"type": "large_utf8"
}
}
]
}
},
{
"arrow_type": "large_list<utf8>",
"json": {
@@ -207,21 +186,6 @@
]
}
},
{
"arrow_type": "large_list<large_utf8>",
"json": {
"type": "large_list",
"fields": [
{
"name": "item",
"nullable": false,
"type": {
"type": "large_utf8"
}
}
]
}
},
{
"arrow_type": "fixed_size_list<float32, 384>",
"json": {
@@ -366,4 +330,4 @@
"timestamp[us]",
"struct<a: int32>"
]
}
}
@@ -24,6 +24,7 @@
},
"runtime_digest": "sha256:runtime",
"environment_digest": "sha256:environment",
"required_secrets": ["HF_TOKEN"],
"created_at": "2026-08-21T00:00:00Z"
},
"future_job": {"trace_id": "trace-1"}
@@ -1 +1 @@
{"artifact":{"adapter":{"kind":"scalar_to_arrow_batch","version":1},"content":{"data":"ZnJvbSBfX2Z1dHVyZV9fIGltcG9ydCBhbm5vdGF0aW9ucwoKZGVmIG5vcm1hbGl6ZV9zY29yZSh2YWx1ZTogZmxvYXQpIC0+IGZsb2F0OgogICAgcmV0dXJuIHZhbHVlIC8gMTAwLjAK","encoding":"base64"},"digest":"sha256:760784bdcef57b802f389b97804cc0b618aae39e86044733451bcd0b13089a7f","entrypoint":"normalize_score","kind":"python_callable"},"name":"normalize_score","runtime":{"env":{"MODE":"test"},"environment":{"kind":"pip","packages":["numpy>=2"]},"kind":"python","python_version":"3.12"},"signature":{"inputs":[{"arrow_type":"float64","name":"value","nullable":false}],"output":{"arrow_type":"float64","kind":"scalar","nullable":false}}}
{"artifact":{"adapter":{"kind":"scalar_to_arrow_batch","version":1},"content":{"data":"ZnJvbSBfX2Z1dHVyZV9fIGltcG9ydCBhbm5vdGF0aW9ucwoKZGVmIG5vcm1hbGl6ZV9zY29yZSh2YWx1ZTogZmxvYXQpIC0+IGZsb2F0OgogICAgcmV0dXJuIHZhbHVlIC8gMTAwLjAK","encoding":"base64"},"digest":"sha256:760784bdcef57b802f389b97804cc0b618aae39e86044733451bcd0b13089a7f","entrypoint":"normalize_score","kind":"python_callable"},"name":"normalize_score","required_secrets":["API_TOKEN"],"runtime":{"env":{"MODE":"test"},"environment":{"kind":"pip","packages":["numpy>=2"]},"kind":"python","python_version":"3.12"},"signature":{"inputs":[{"arrow_type":"float64","name":"value","nullable":false}],"output":{"arrow_type":"float64","kind":"scalar","nullable":false}}}
@@ -39,5 +39,8 @@
"env": {
"MODE": "test"
}
}
},
"required_secrets": [
"API_TOKEN"
]
}
@@ -1 +1 @@
{"artifact":{"digest":"sha256:code","entrypoint":"embed","kind":"python_callable"},"created_at":"2026-08-21T00:00:00Z","environment_digest":"sha256:environment","name":"embed","runtime":{"env":{"TOKENIZERS_PARALLELISM":"false"},"environment":{"kind":"pip","packages":["sentence-transformers>=3"]},"kind":"python","python_version":"3.12"},"runtime_digest":"sha256:runtime","signature":{"inputs":[{"arrow_type":"utf8","name":"text","nullable":true}],"output":{"arrow_type":"list<float32>","kind":"scalar","nullable":false}},"version":"fv_01K3EXACT"}
{"artifact":{"digest":"sha256:code","entrypoint":"embed","kind":"python_callable"},"created_at":"2026-08-21T00:00:00Z","environment_digest":"sha256:environment","name":"embed","required_secrets":["HF_TOKEN"],"runtime":{"env":{"TOKENIZERS_PARALLELISM":"false"},"environment":{"kind":"pip","packages":["sentence-transformers>=3"]},"kind":"python","python_version":"3.12"},"runtime_digest":"sha256:runtime","signature":{"inputs":[{"arrow_type":"utf8","name":"text","nullable":true}],"output":{"arrow_type":"list<float32>","kind":"scalar","nullable":false}},"version":"fv_01K3EXACT"}