diff --git a/.bumpversion.toml b/.bumpversion.toml index 57bcad5da..601b14d3f 100644 --- a/.bumpversion.toml +++ b/.bumpversion.toml @@ -1,5 +1,5 @@ [tool.bumpversion] -current_version = "0.37.0-beta.0" +current_version = "0.37.1-beta.0" parse = """(?x) (?P0|[1-9]\\d*)\\. (?P0|[1-9]\\d*)\\. diff --git a/.github/actions/create-failure-issue/action.yml b/.github/actions/create-failure-issue/action.yml index 832dc8def..33e3b80ae 100644 --- a/.github/actions/create-failure-issue/action.yml +++ b/.github/actions/create-failure-issue/action.yml @@ -27,19 +27,31 @@ runs: # Extract failed job names FAILED_JOBS=$(echo "$JOB_RESULTS" | jq -r 'to_entries | map(select(.value.result == "failure")) | map(.key) | join(", ")') - # Create issue with workflow name, failed jobs, and run URL - gh issue create \ - --title "$WORKFLOW_NAME Failed ($FAILED_JOBS)" \ - --body "The workflow **$WORKFLOW_NAME** failed during execution. + TITLE="$WORKFLOW_NAME Failed ($FAILED_JOBS)" + + # This action now also runs on nightly schedules, so a breakage that + # persists for a few days would otherwise file one issue per night. + # Comment on the open report instead when one already exists. + EXISTING=$(gh issue list --state open --label ci --limit 100 --json number,title \ + | jq -r --arg title "$TITLE" 'map(select(.title == $title)) | .[0].number // empty') + + if [ -n "$EXISTING" ]; then + gh issue comment "$EXISTING" --body "Failed again: $RUN_URL" + echo "Commented on existing issue #$EXISTING" + else + gh issue create \ + --title "$TITLE" \ + --body "The workflow **$WORKFLOW_NAME** failed during execution. **Failed jobs:** $FAILED_JOBS **Run URL:** $RUN_URL Please investigate the failed jobs and address any issues." \ - --label "ci" + --label "ci" - echo "Issue created successfully" + echo "Issue created successfully" + fi else echo "No job failures detected, skipping issue creation" fi diff --git a/.github/workflows/nodejs.yml b/.github/workflows/nodejs.yml index 3452168a5..e82cf71c9 100644 --- a/.github/workflows/nodejs.yml +++ b/.github/workflows/nodejs.yml @@ -61,6 +61,11 @@ jobs: sudo apt update sudo apt install -y protobuf-compiler libssl-dev - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Format Rust run: cargo fmt --all -- --check - name: Lint Rust @@ -103,6 +108,11 @@ jobs: cache: 'pnpm' cache-dependency-path: nodejs/pnpm-lock.yaml - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: | sudo apt update @@ -182,6 +192,11 @@ jobs: cache-dependency-path: nodejs/pnpm-lock.yaml - uses: dtolnay/rust-toolchain@stable - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: | brew install protobuf diff --git a/.github/workflows/npm-publish.yml b/.github/workflows/npm-publish.yml index 8a049ee0f..72ef5ad13 100644 --- a/.github/workflows/npm-publish.yml +++ b/.github/workflows/npm-publish.yml @@ -10,10 +10,16 @@ permissions: on: push: - branches: - - main tags: - "v*" + # The cross-compiled targets (musl especially) break from toolchain and + # dependency changes that nothing else in CI catches, and discovering that + # mid-release is expensive. A nightly run keeps that signal while dropping + # the full 8-target release matrix from all ~90 pushes to main each month. + # `report-failure` files an issue when a nightly breaks. + schedule: + - cron: "0 8 * * *" + workflow_dispatch: pull_request: # This should trigger a dry run (we skip the final publish step) paths: @@ -34,9 +40,18 @@ jobs: - target: aarch64-apple-darwin host: macos-latest features: fp16kernels - pre_build: brew install protobuf + pre_build: |- + brew install protobuf + # Fat LTO (the workspace default in .cargo/config.toml) is + # single-threaded and is the peak-memory step of the build. On + # this runner it accounted for ~111 of the job's ~113 minutes, + # making it the critical path of the entire publish pipeline. + # ThinLTO parallelizes it across the runner's cores, for a few + # percent of runtime performance. + export CARGO_PROFILE_RELEASE_LTO=thin + export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16 - target: x86_64-pc-windows-msvc - host: windows-2025-8x-x64 + host: windows-2025 features: "," pre_build: |- choco install --no-progress protoc ninja nasm @@ -44,19 +59,19 @@ jobs: # There is an issue where choco doesn't add nasm to the path export PATH="$PATH:/c/Program Files/NASM" nasm -v - # Fat LTO of the cdylib is single-threaded and the peak-memory - # step of the build, and had started hitting rustc-LLVM OOM on the - # Windows runners. ThinLTO parallelizes it across the runner's - # cores and keeps peak memory well under the limit. + # 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-2025-8x-x64 + host: windows-2025 features: "," pre_build: |- choco install --no-progress protoc rustup target add aarch64-pc-windows-msvc - # See ThinLTO note on the x86_64-pc-windows-msvc target above. + # 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 @@ -131,16 +146,49 @@ jobs: with: toolchain: stable targets: ${{ matrix.settings.target }} - - name: Cache cargo - uses: actions/cache@v5 + # These builds were entirely uncached: the old key was static, so + # `actions/cache` (which only writes on a miss) could never refresh it, + # and the multi-GB whole-`target/` copy it tried to store never fit the + # repo's cache budget, so no entry was ever saved. rust-cache prunes + # `target/` to dependency artifacts and keys on Cargo.lock plus the rustc + # version, which both fixes the key and keeps entries a sane size. + # + # This caches dependency *compilation* only. The LTO link of the cdylib + # re-runs regardless, since the local crate changes every time, so the + # win is larger on the non-LTO jobs than here. + - name: Cache cargo (native builds) + uses: Swatinem/rust-cache@v2 + if: ${{ !matrix.settings.docker }} with: - path: | - ~/.cargo/registry/index/ - ~/.cargo/registry/cache/ - ~/.cargo/git/db/ - .cargo-cache - target/ - key: nodejs-${{ matrix.settings.target }}-cargo-${{ matrix.settings.host }} + # The release profile and per-target dirs differ from what the test + # workflows cache, so these need to be separate entries. + key: release-${{ matrix.settings.target }} + # Only the nightly run on main writes, so tag and PR runs restore a + # warm entry without every dependabot PR writing its own (which would + # be unreadable elsewhere anyway, since GitHub scopes caches to the + # 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. `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 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: ${{ matrix.settings.docker }} + with: + key: docker-${{ matrix.settings.target }} + cache-directories: .cargo-cache + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: pnpm install --frozen-lockfile - name: Install Zig @@ -158,9 +206,13 @@ jobs: if: ${{ matrix.settings.docker }} with: image: ${{ matrix.settings.docker }} + # All three mounts must live under `.cargo-cache`, which is what the + # 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. options: "--user 0:0 -v ${{ github.workspace }}/.cargo-cache/git/db:/usr/local/cargo/git/db \ - -v ${{ github.workspace }}/.cargo/registry/cache:/usr/local/cargo/registry/cache \ - -v ${{ github.workspace }}/.cargo/registry/index:/usr/local/cargo/registry/index \ + -v ${{ github.workspace }}/.cargo-cache/registry/cache:/usr/local/cargo/registry/cache \ + -v ${{ github.workspace }}/.cargo-cache/registry/index:/usr/local/cargo/registry/index \ -v ${{ github.workspace }}:/build -w /build/nodejs" run: | set -e @@ -172,6 +224,16 @@ jobs: --js ../lancedb/native.js \ --strip \ --output-dir dist/ + # The container runs as root (`--user 0:0`), so everything it wrote to the + # mounted cache dirs is root-owned. rust-cache's post step runs as the + # runner user and has to both read these and delete from them while + # pruning, so hand them back before it runs. + - name: Take ownership of docker build output + if: ${{ matrix.settings.docker }} + run: | + sudo chown -R "$(id -u):$(id -g)" \ + "${{ github.workspace }}/.cargo-cache" \ + "${{ github.workspace }}/target" - name: Build run: | ${{ matrix.settings.pre_build }} @@ -185,6 +247,15 @@ jobs: --output-dir dist/ if: ${{ !matrix.settings.docker }} shell: bash + # The standard Windows runners have ~14 GB free, and a release `target/` + # for this workspace is a large fraction of that. Report the remaining + # headroom so a build that only just fits is visible before a dependency + # bump turns it into a failed release. `always()` so the numbers are + # still there when the build is what ran out of space. + - name: Report disk headroom + if: always() + run: df -h + shell: bash - name: Upload artifact uses: actions/upload-artifact@v7 with: @@ -335,7 +406,9 @@ jobs: name: Report Workflow Failure runs-on: ubuntu-latest needs: [build-lancedb, test-lancedb, publish] - if: always() && failure() && startsWith(github.ref, 'refs/tags/v') + # Nightly runs are the only thing watching the cross-compiled targets now, + # so they have to report failures too or the signal is silently lost. + if: always() && failure() && (startsWith(github.ref, 'refs/tags/v') || github.event_name == 'schedule') permissions: contents: read issues: write diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml index 8825e7fb0..74b7d05e6 100644 --- a/.github/workflows/pypi-publish.yml +++ b/.github/workflows/pypi-publish.yml @@ -20,6 +20,12 @@ env: permissions: contents: read +# Without this, a force-push to a PR leaves the previous run going -- including +# a ~74 minute Windows job and a billed arm64 wheel build. +concurrency: + group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} + cancel-in-progress: true + jobs: linux: name: Python ${{ matrix.config.package_name }} ${{ matrix.config.platform }} manylinux${{ matrix.config.manylinux }} @@ -122,6 +128,13 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.13" + # NOTE: caching cargo here would be a no-op. This workflow only runs on + # tags and PRs, and GitHub only lets a run restore caches from its own ref + # or the default branch -- so with no run on main there is nothing that + # can populate an entry the release build would be allowed to read. Fixing + # this needs a main/nightly trigger (which would also catch wheel-build + # breakage before a release); the ~74 minutes here is otherwise dominated + # by the fat-LTO link, which no cache avoids. - uses: ./.github/workflows/build_windows_wheel with: python-minor-version: 10 diff --git a/.github/workflows/python.yml b/.github/workflows/python.yml index ee8b319bb..52582395f 100644 --- a/.github/workflows/python.yml +++ b/.github/workflows/python.yml @@ -108,6 +108,15 @@ jobs: run: | sudo apt update sudo apt install -y protobuf-compiler + # `pip install -e .` builds the extension with maturin, which is most of + # this job's ~33 minutes. It had no Rust cache, so every dependency was + # recompiled from scratch on every run. + - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install run: | pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -e .[tests,dev,embeddings] @@ -168,6 +177,14 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.13" + # maturin runs cargo natively on macOS (docker is Linux-only), so the host + # target dir is cacheable. This job had no Rust cache. + - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - uses: ./.github/workflows/build_mac_wheel with: args: --profile ci @@ -197,6 +214,14 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.13" + # maturin runs cargo natively on Windows (docker is Linux-only), so the + # host target dir is cacheable. This job had no Rust cache at all and so + # rebuilt every dependency from scratch on every run. + - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. The repo sits at + # GitHub's cache cap, so per-PR saves just evict main's entries. + save-if: ${{ github.ref == 'refs/heads/main' }} - uses: ./.github/workflows/build_windows_wheel with: args: --profile ci @@ -224,6 +249,14 @@ jobs: uses: actions/setup-python@v6 with: python-version: "3.10" + # As with Doctest, `pip install -e .` compiles the extension and this job + # had no Rust cache, which is most of its ~37 minutes. + - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install lancedb run: | pip install "pydantic<2" diff --git a/.github/workflows/rust.yml b/.github/workflows/rust.yml index 3bc67d2ec..1a0b65c4a 100644 --- a/.github/workflows/rust.yml +++ b/.github/workflows/rust.yml @@ -48,6 +48,11 @@ jobs: with: components: rustfmt, clippy - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: | sudo apt update @@ -89,6 +94,11 @@ jobs: run: rm -f Cargo.lock - uses: rui314/setup-mold@v1 - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: | sudo apt update @@ -118,6 +128,11 @@ jobs: fetch-depth: 0 lfs: true - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: | sudo apt update @@ -175,6 +190,11 @@ jobs: - name: CPU features run: sysctl -a | grep cpu - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install dependencies run: brew install protobuf - name: Run tests @@ -187,12 +207,19 @@ jobs: cargo test --profile ci --features $ALL_FEATURES --locked windows: - runs-on: windows-2022 strategy: + fail-fast: false matrix: - target: - - x86_64-pc-windows-msvc - - aarch64-pc-windows-msvc + include: + - target: x86_64-pc-windows-msvc + runner: windows-2022 + # windows-11-arm is a standard runner, so it is free on public repos. + # Running natively lets the aarch64 tests actually execute -- this + # job used to cross-compile them and then skip the test step, paying + # full codegen and link cost for a compile check. + - target: aarch64-pc-windows-msvc + runner: windows-11-arm + runs-on: ${{ matrix.runner }} defaults: run: working-directory: rust/lancedb @@ -201,6 +228,11 @@ jobs: - name: Set target run: rustup target add ${{ matrix.target }} - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Install Protoc v21.12 run: choco install --no-progress protoc - name: Build @@ -208,11 +240,12 @@ jobs: $env:VCPKG_ROOT = $env:VCPKG_INSTALLATION_ROOT cargo build --profile ci --features aws,remote --tests --locked --target ${{ matrix.target }} - name: Run tests - # Can only run tests when target matches host - if: ${{ matrix.target == 'x86_64-pc-windows-msvc' }} run: | $env:VCPKG_ROOT = $env:VCPKG_INSTALLATION_ROOT - cargo test --profile ci --features aws,remote --locked + # `--target` has to match the build step above. Without it cargo uses + # target/ci/ rather than target//ci/ and rebuilds the entire + # dependency graph a second time. + cargo test --profile ci --features aws,remote --locked --target ${{ matrix.target }} msrv: # Check the minimum supported Rust version @@ -238,6 +271,11 @@ jobs: with: toolchain: ${{ matrix.msrv }} - uses: Swatinem/rust-cache@v2 + with: + # Restore everywhere, but only save from main. Per-PR saves are + # unreadable outside their own branch anyway, since GitHub scopes + # caches to the creating ref. + save-if: ${{ github.ref == 'refs/heads/main' }} - name: Downgrade dependencies # These packages have newer requirements for MSRV run: | diff --git a/AGENTS.md b/AGENTS.md index 14ec35441..21631a2cd 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -92,6 +92,8 @@ Python bindings changes: * Should use `LOOP.run()` to call the corresponding `AsyncTable` method. 6. Add concrete sync method to `RemoteTable` class in `python/python/lancedb/remote/table.py`. 7. Add unit test in `python/tests/test_table.py`. +8. If you added a new public class or module-level function (not just a method on an + existing class), expose it in the API reference. See "Python API reference" below. TypeScript bindings changes: @@ -103,6 +105,33 @@ TypeScript bindings changes: 5. Add test in `nodejs/__test__/table.test.ts`. 6. Run `npm run docs` to generate TypeScript documentation. +## Python API reference + +`docs/src/python/python.md` is the entire Python API reference. It is maintained by +hand, and anything not listed there is not rendered at all, so new public classes and +module-level functions have to be added explicitly. How depends on the module: + +* `lancedb.index`, `lancedb.embeddings`, `lancedb.remote`, and `lancedb.rerankers` are + rendered by a single directive each, driven by the module's `__all__`. Add the new + name to `__all__` and it appears; forget, and it is silently omitted. +* Everything else (`lancedb`, `lancedb.table`, `lancedb.query`, `lancedb.db`, ...) is + listed symbol by symbol. Add a `::: lancedb..` line to the matching + section, and remember that the page separates synchronous and asynchronous APIs. + +Deliberately undocumented: concrete implementations reached through an abstract base +(`LanceTable`, `LanceDBConnection`, `RemoteDBConnection`), query base classes already +covered by `inherited_members`, and internal helpers. + +Cross-references in docstrings use mkdocstrings syntax, `[text][lancedb.table.Table]`. +Plain relative links such as `[Table](Table)` do not resolve. To check your work: + +```shell +pip install -r docs/requirements.txt +cd docs && PYTHONPATH=. mkdocs build +``` + +The docs site only builds on pushes to `main`, so this is not covered by PR CI. + ## Review Guidelines Please consider the following when reviewing code contributions. diff --git a/Cargo.lock b/Cargo.lock index 39711faa5..57766d7e9 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -217,9 +217,9 @@ checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50" [[package]] name = "arrow" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "378530e55cd479eda3c14eb345310799717e6f76d0c332041e8487022166b471" +checksum = "6cfdd0833e32a9874d2b55089333ad310c0be208aafa277385ce2461dec90be3" dependencies = [ "arrow-arith", "arrow-array", @@ -239,9 +239,9 @@ dependencies = [ [[package]] name = "arrow-arith" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "a0ab212d2c1886e802f51c5212d78ebbcbb0bec980fff9dadc1eb8d45cd0b738" +checksum = "0a41203398f0eaa6f7ec8e62c0da742a21abf282c148fc157f6c35c90e29981a" dependencies = [ "arrow-array", "arrow-buffer", @@ -253,9 +253,9 @@ dependencies = [ [[package]] name = "arrow-array" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "cfd33d3e92f207444098c75b42de99d329562be0cf686b307b097cc52b4e999e" +checksum = "ae33dad492b7df00a217563a7b0ef2874df68a0deea1b1a3acf628152f7f7a69" dependencies = [ "ahash", "arrow-buffer", @@ -272,9 +272,9 @@ dependencies = [ [[package]] name = "arrow-buffer" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "0c6cd424c2693bcdbc150d843dc9d4d137dd2de4782ce6df491ad11a3a0416c0" +checksum = "b9552f96391c005e6ab449fa941420935e7e062489b12b8b1b08879b2163f5b5" dependencies = [ "bytes", "half", @@ -284,9 +284,9 @@ dependencies = [ [[package]] name = "arrow-cast" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "4c5aefb56a2c02e9e2b30746241058b85f8983f0fcff2ba0c6d09006e1cded7f" +checksum = "3a8a327c9649f30d8406995f27642b68df354713cca3baaaf100f076f18d5f34" dependencies = [ "arrow-array", "arrow-buffer", @@ -306,9 +306,9 @@ dependencies = [ [[package]] name = "arrow-csv" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "e94e8cf7e517657a52b91ea1263acf38c4ca62a84655d72458a3359b12ab97de" +checksum = "af0dd6d90d1955e9f9a014c1e563ee8aeffc21909085d25623e1da44d96eca26" dependencies = [ "arrow-array", "arrow-cast", @@ -321,9 +321,9 @@ dependencies = [ [[package]] name = "arrow-data" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "3c88210023a2bfee1896af366309a3028fc3bcbd6515fa29a7990ee1baa08ee0" +checksum = "2b24852db04738907e06c04ea61e42fe7fda962a34513022dc0d0e754fb7976b" dependencies = [ "arrow-buffer", "arrow-schema", @@ -334,9 +334,9 @@ dependencies = [ [[package]] name = "arrow-ipc" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "238438f0834483703d88896db6fe5a7138b2230debc31b34c0336c2996e3c64f" +checksum = "29a908a11fcfb3fb2f6730f4ac15e367bc644e419155e96238f68cf3adde572b" dependencies = [ "arrow-array", "arrow-buffer", @@ -350,9 +350,9 @@ dependencies = [ [[package]] name = "arrow-json" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "205ca2119e6d679d5c133c6f30e68f027738d95ed948cf77677ea69c7800036b" +checksum = "b8a96aed3931c076adee39ec2a40d8219fc7f09e79bcdaca1df16272993e1e14" dependencies = [ "arrow-array", "arrow-buffer", @@ -375,9 +375,9 @@ dependencies = [ [[package]] name = "arrow-ord" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "1bffd8fd2579286a5d63bac898159873e5094a79009940bcb42bbfce4f19f1d0" +checksum = "63a083ec750f5c043f02946b4baf05fcdbb55f4560a3277055caca5cc99f3eb0" dependencies = [ "arrow-array", "arrow-buffer", @@ -388,9 +388,9 @@ dependencies = [ [[package]] name = "arrow-pyarrow" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "d29abdf672a81c1aeb57fd2661457f9918964d49aed0e9f18932535f2a9e49ce" +checksum = "3ffb9be5a873590f825aef50df20e0f8dff5fd42a77058e28bbe7bd44bb53dec" dependencies = [ "arrow-array", "arrow-data", @@ -400,9 +400,9 @@ dependencies = [ [[package]] name = "arrow-row" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "bab5994731204603c73ba69267616c50f80780774c6bb0476f1f830625115e0c" +checksum = "514ba0ef0d4c5896202dae736251ce415abb43a950bed570fb7981b8716c0e4c" dependencies = [ "arrow-array", "arrow-buffer", @@ -413,9 +413,9 @@ dependencies = [ [[package]] name = "arrow-schema" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "f633dbfdf39c039ada1bf9e34c694816eb71fbb7dc78f613993b7245e078a1ed" +checksum = "21ca356ad6425cecb6eb7b28e4f659f1ee7880fbb1a16127de7dd62901efee9e" dependencies = [ "bitflags 2.11.1", "serde_core", @@ -424,9 +424,9 @@ dependencies = [ [[package]] name = "arrow-select" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "8cd065c54172ac787cf3f2f8d4107e0d3fdc26edba76fdf4f4cc170258942222" +checksum = "c58da39eb3d8350ad4a549e5c2bc49284dac554016c69829310350f1731b0aad" dependencies = [ "ahash", "arrow-array", @@ -438,9 +438,9 @@ dependencies = [ [[package]] name = "arrow-string" -version = "58.3.0" +version = "58.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "29dd7cda3ab9692f43a2e4acc444d760cc17b12bb6d8232ddf64e9bab7c06b42" +checksum = "b6789b388467525e3271326b6b4915666ecfdf5142aef09779445c954b67543c" dependencies = [ "arrow-array", "arrow-buffer", @@ -5375,7 +5375,7 @@ dependencies = [ [[package]] name = "lancedb" -version = "0.37.0-beta.0" +version = "0.37.1-beta.0" dependencies = [ "ahash", "anyhow", @@ -5463,7 +5463,7 @@ dependencies = [ [[package]] name = "lancedb-nodejs" -version = "0.37.0-beta.0" +version = "0.37.1-beta.0" dependencies = [ "arrow-array", "arrow-buffer", @@ -5488,7 +5488,7 @@ dependencies = [ [[package]] name = "lancedb-python" -version = "0.37.0-beta.0" +version = "0.37.1-beta.0" dependencies = [ "arrow", "async-trait", diff --git a/docs/mkdocs.yml b/docs/mkdocs.yml index 324b6fda5..ad6fc4b65 100644 --- a/docs/mkdocs.yml +++ b/docs/mkdocs.yml @@ -51,6 +51,11 @@ plugins: paths: [../python/python] options: docstring_style: numpy + docstring_options: + # Attributes documented in a `Parameters` section, and pydantic + # dataclasses whose `__init__` griffe cannot see statically, both + # trip this check. It reports nothing actionable here. + warn_unknown_params: false heading_level: 3 show_signature_annotations: true show_root_heading: true diff --git a/docs/openapi.yml b/docs/openapi.yml index b07e47e04..2f9ae7d99 100644 --- a/docs/openapi.yml +++ b/docs/openapi.yml @@ -453,6 +453,16 @@ paths: The metric type to use for the index. l2, Cosine, Dot are supported. index_type: type: string + custom_stop_words: + type: [array, "null"] + items: + type: string + description: | + The custom stop-word list for an FTS index. A non-null + array replaces the language's built-in stop-word list and is only + applied when remove_stop_words is enabled. Null uses the built-in + language list, while an empty array explicitly replaces it with no + stop words. responses: "200": description: Index successfully created @@ -510,4 +520,4 @@ paths: "401": $ref: "#/components/responses/unauthorized" "404": - $ref: "#/components/responses/not_found" \ No newline at end of file + $ref: "#/components/responses/not_found" diff --git a/docs/src/java/java.md b/docs/src/java/java.md index 891cc1674..11e901ad0 100644 --- a/docs/src/java/java.md +++ b/docs/src/java/java.md @@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`: com.lancedb lancedb-core - 0.37.0-beta.0 + 0.37.1-beta.0 ``` diff --git a/docs/src/js/_media/CONTRIBUTING.md b/docs/src/js/_media/CONTRIBUTING.md index d784b9f75..2faa8cd37 100644 --- a/docs/src/js/_media/CONTRIBUTING.md +++ b/docs/src/js/_media/CONTRIBUTING.md @@ -1,7 +1,7 @@ # Contributing to LanceDB Typescript This document outlines the process for contributing to LanceDB Typescript. -For general contribution guidelines, see [CONTRIBUTING.md](../CONTRIBUTING.md). +For general contribution guidelines, see [CONTRIBUTING.md](https://github.com/lancedb/lancedb/blob/main/CONTRIBUTING.md). ## Project layout diff --git a/docs/src/js/classes/Connection.md b/docs/src/js/classes/Connection.md index ad24644b6..fa4e0748a 100644 --- a/docs/src/js/classes/Connection.md +++ b/docs/src/js/classes/Connection.md @@ -25,6 +25,27 @@ the underlying connection has been closed. ## Methods +### cancelJob() + +```ts +abstract cancelJob(jobId): Promise +``` + +Request cancellation of a server-side job by id. + +Resolves to true if the server accepted the cancellation, false if no +such job exists. Cancelling an already-terminal job is a no-op success. + +#### Parameters + +* **jobId**: `string` + +#### Returns + +`Promise`<`boolean`> + +*** + ### cloneTable() ```ts @@ -365,6 +386,26 @@ Drop an existing table. *** +### getJob() + +```ts +abstract getJob(jobId): Promise +``` + +Describe a single server-side job by id. + +Resolves to `null` when the server has no such job. + +#### Parameters + +* **jobId**: `string` + +#### Returns + +`Promise`<`null` \| [`JobDescription`](../interfaces/JobDescription.md)> + +*** + ### isOpen() ```ts @@ -379,6 +420,62 @@ Return true if the connection has not been closed *** +### job() + +```ts +abstract job(jobId): Job +``` + +A [Job](Job.md) handle for a server-side job by id. + +The handle is constructed without a server round trip; an unknown id +surfaces when the handle is used. Dropping the handle has no effect on +the job itself. + +#### Parameters + +* **jobId**: `string` + +#### Returns + +[`Job`](Job.md) + +*** + +### jobHistory() + +```ts +abstract jobHistory(jobId?): Promise> +``` + +The lifecycle event history of a server-side job, as an Arrow table. + +Lists history across all jobs when `jobId` is omitted. + +#### Parameters + +* **jobId?**: `string` + +#### Returns + +`Promise`<`Table`<`any`>> + +*** + +### listJobs() + +```ts +abstract listJobs(): Promise +``` + +List server-side jobs across the database's tables. + +#### Returns + +`Promise`<[`JobInfo`](../interfaces/JobInfo.md)[]> + +*** + ### listNamespaces() ```ts diff --git a/docs/src/js/classes/Job.md b/docs/src/js/classes/Job.md new file mode 100644 index 000000000..9f723e9e8 --- /dev/null +++ b/docs/src/js/classes/Job.md @@ -0,0 +1,83 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / Job + +# Class: Job + +A handle to an operation that may still be running. + +## Constructors + +### new Job() + +```ts +new Job(): Job +``` + +#### Returns + +[`Job`](Job.md) + +## Accessors + +### id + +```ts +get id(): null | string +``` + +Identifies the operation on the server that is running it. Operations +that run in this process have no server id. The value is opaque. + +#### Returns + +`null` \| `string` + +## Methods + +### cancel() + +```ts +cancel(): Promise +``` + +Request cancellation. Cancelling a finished operation is a no-op. + +#### Returns + +`Promise`<`void`> + +*** + +### status() + +```ts +status(): Promise +``` + +The operation's current lifecycle state: "running", "finished", +"failed", or "cancelled". + +A point snapshot; unlike [Job.wait](Job.md#wait) it does not block or reject +on a terminal failure state. States a newer server reports that this +client version does not know pass through as-is. + +#### Returns + +`Promise`<`string`> + +*** + +### wait() + +```ts +wait(): Promise +``` + +Wait until the operation reaches a terminal state. + +#### Returns + +`Promise`<`void`> diff --git a/docs/src/js/classes/Table.md b/docs/src/js/classes/Table.md index 05636657e..11fca32d0 100644 --- a/docs/src/js/classes/Table.md +++ b/docs/src/js/classes/Table.md @@ -295,6 +295,29 @@ await table.createIndex("my_float_col"); *** +### createIndexAsync() + +```ts +abstract createIndexAsync(column, options?): Promise +``` + +Create an index, returning a handle to the indexing job. + +The job may already be complete when returned; callers must not assume +the index exists until [Job.wait](Job.md#wait) resolves. + +#### Parameters + +* **column**: `string` + +* **options?**: `Partial`<[`IndexOptions`](../interfaces/IndexOptions.md)> + +#### Returns + +`Promise`<[`Job`](Job.md)> + +*** + ### currentBranch() ```ts diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md index c214a5f13..7455a81ce 100644 --- a/docs/src/js/globals.md +++ b/docs/src/js/globals.md @@ -25,6 +25,7 @@ - [Connection](classes/Connection.md) - [HeaderProvider](classes/HeaderProvider.md) - [Index](classes/Index.md) +- [Job](classes/Job.md) - [MakeArrowTableOptions](classes/MakeArrowTableOptions.md) - [MatchQuery](classes/MatchQuery.md) - [MergeInsertBuilder](classes/MergeInsertBuilder.md) @@ -88,6 +89,9 @@ - [IvfFlatOptions](interfaces/IvfFlatOptions.md) - [IvfPqOptions](interfaces/IvfPqOptions.md) - [IvfRqOptions](interfaces/IvfRqOptions.md) +- [JobDescription](interfaces/JobDescription.md) +- [JobFailureInfo](interfaces/JobFailureInfo.md) +- [JobInfo](interfaces/JobInfo.md) - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md) - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md) - [LsmWriteSpec](interfaces/LsmWriteSpec.md) diff --git a/docs/src/js/interfaces/FtsOptions.md b/docs/src/js/interfaces/FtsOptions.md index b8b264fed..1d3c9ff82 100644 --- a/docs/src/js/interfaces/FtsOptions.md +++ b/docs/src/js/interfaces/FtsOptions.md @@ -56,6 +56,21 @@ the experimental FTS V3 format and may introduce breaking changes. *** +### customStopWords? + +```ts +optional customStopWords: string[]; +``` + +Custom stop words that replace the built-in list for `language`. + +This option only affects tokenization when `removeStopWords` is true. + +`undefined` keeps the built-in language list. An empty array explicitly +replaces it with no stop words. + +*** + ### language? ```ts diff --git a/docs/src/js/interfaces/JobDescription.md b/docs/src/js/interfaces/JobDescription.md new file mode 100644 index 000000000..5118bf5d6 --- /dev/null +++ b/docs/src/js/interfaces/JobDescription.md @@ -0,0 +1,66 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / JobDescription + +# Interface: JobDescription + +A described job from `Connection.getJob`. + +## Properties + +### creationMs + +```ts +creationMs: number; +``` + +When the job was created, in milliseconds since the epoch. + +*** + +### failure? + +```ts +optional failure: JobFailureInfo; +``` + +Why the job failed, when the job is failed and the server reports a +reason. + +*** + +### jobId + +```ts +jobId: string; +``` + +*** + +### jobType + +```ts +jobType: string; +``` + +*** + +### specJson? + +```ts +optional specJson: string; +``` + +The job-type-specific specification as a JSON string, when present. + +*** + +### state + +```ts +state: string; +``` + +Lifecycle state: "running", "finished", "failed", or "cancelled". diff --git a/docs/src/js/interfaces/JobFailureInfo.md b/docs/src/js/interfaces/JobFailureInfo.md new file mode 100644 index 000000000..5683ee5f0 --- /dev/null +++ b/docs/src/js/interfaces/JobFailureInfo.md @@ -0,0 +1,33 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / JobFailureInfo + +# Interface: JobFailureInfo + +The server's account of why a job failed. + +## Properties + +### message? + +```ts +optional message: string; +``` + +*** + +### phase? + +```ts +optional phase: string; +``` + +*** + +### retryable? + +```ts +optional retryable: boolean; +``` diff --git a/docs/src/js/interfaces/JobInfo.md b/docs/src/js/interfaces/JobInfo.md new file mode 100644 index 000000000..3596fc968 --- /dev/null +++ b/docs/src/js/interfaces/JobInfo.md @@ -0,0 +1,58 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / JobInfo + +# Interface: JobInfo + +A row from `Connection.listJobs`: one server-side job. + +## Properties + +### createdAtMillis + +```ts +createdAtMillis: number; +``` + +When the job was created, in milliseconds since the epoch. + +*** + +### jobId + +```ts +jobId: string; +``` + +The job id -- what `Connection.getJob` and `Connection.cancelJob` +accept. + +*** + +### jobType + +```ts +jobType: string; +``` + +*** + +### state + +```ts +state: string; +``` + +Lifecycle state: "running", "finished", "failed", or "cancelled". + +*** + +### table + +```ts +table: string; +``` + +The table the job runs against, without URI or namespace. diff --git a/docs/src/js/interfaces/TokenizeOptions.md b/docs/src/js/interfaces/TokenizeOptions.md index f061356d1..8ef15d03d 100644 --- a/docs/src/js/interfaces/TokenizeOptions.md +++ b/docs/src/js/interfaces/TokenizeOptions.md @@ -30,6 +30,21 @@ The tokenizer to use. The default is "simple". *** +### customStopWords? + +```ts +optional customStopWords: string[]; +``` + +Custom stop words that replace the built-in list for `language`. + +This option only affects tokenization when `removeStopWords` is true. + +`undefined` keeps the built-in language list. An empty array explicitly +replaces it with no stop words. + +*** + ### language? ```ts diff --git a/docs/src/python/python.md b/docs/src/python/python.md index 1e928be54..36044d35d 100644 --- a/docs/src/python/python.md +++ b/docs/src/python/python.md @@ -26,6 +26,18 @@ is also an [asynchronous API client](#connections-asynchronous). ::: lancedb.db.DBConnection +::: lancedb.Session + +## Namespaces (Synchronous) + +A namespace-backed connection resolves tables through a +[Lance namespace](https://lancedb.github.io/lance-namespace/) service instead of +listing a storage directory. + +::: lancedb.connect_namespace + +::: lancedb.namespace.LanceNamespaceDBConnection + ## Tables (Synchronous) ::: lancedb.table.Table @@ -34,8 +46,12 @@ is also an [asynchronous API client](#connections-asynchronous). ::: lancedb.table.FragmentSummaryStats +::: lancedb.table.TableStatistics + ::: lancedb.table.Tags +::: lancedb.table.Branches + ## Expressions Type-safe expression builder for filters and projections. Use these instead @@ -62,29 +78,46 @@ of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and ::: lancedb.query.LanceHybridQueryBuilder +::: lancedb.query.LanceEmptyQueryBuilder + +::: lancedb.query.LanceTakeQueryBuilder + +## Full text queries + +Structured full text queries can be passed to +[Table.search][lancedb.table.Table.search] or +[AsyncTable.search][lancedb.table.AsyncTable.search] in place of a query string, +and combined with [BooleanQuery][lancedb.query.BooleanQuery]. + +::: lancedb.query.FullTextQuery + +::: lancedb.query.MatchQuery + +::: lancedb.query.PhraseQuery + +::: lancedb.query.BoostQuery + +::: lancedb.query.MultiMatchQuery + +::: lancedb.query.BooleanQuery + +::: lancedb.query.FullTextOperator + +::: lancedb.query.Occur + ## Embeddings -::: lancedb.embeddings.registry.EmbeddingFunctionRegistry - -::: lancedb.embeddings.base.EmbeddingFunctionConfig - -::: lancedb.embeddings.base.EmbeddingFunction - -::: lancedb.embeddings.base.TextEmbeddingFunction - -::: lancedb.embeddings.sentence_transformers.SentenceTransformerEmbeddings - -::: lancedb.embeddings.openai.OpenAIEmbeddings - -::: lancedb.embeddings.open_clip.OpenClipEmbeddings +::: lancedb.embeddings + options: + show_root_heading: false + show_root_toc_entry: false ## Remote configuration -::: lancedb.remote.ClientConfig - -::: lancedb.remote.TimeoutConfig - -::: lancedb.remote.RetryConfig +::: lancedb.remote + options: + show_root_heading: false + show_root_toc_entry: false ## Context @@ -94,11 +127,50 @@ of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and ## Full text search -Use [lancedb.table.Table.create_fts_index][] for the synchronous API or -[lancedb.table.AsyncTable.create_index][] with [lancedb.index.FTS][] for the -asynchronous API. +Pass `custom_stop_words` to [lancedb.index.FTS][]: -::: lancedb.index.FTS +```python +from lancedb.index import FTS + +table.create_index( + "text", + config=FTS(remove_stop_words=True, custom_stop_words=["acme", "internal"]), +) +``` + +The list replaces the built-in stop words and is used only when +`remove_stop_words=True`: + +- `custom_stop_words=None` uses the built-in list for `language`. +- `custom_stop_words=[]` removes no words. +- Values are passed through without trimming, lowercasing, or other rewriting. + +The same option is available on `lancedb.tokenize(...)` and the deprecated +[lancedb.table.Table.create_fts_index][] compatibility helper: + +```python +import lancedb + +tokens = list(lancedb.tokenize("acme makes searchable data", + custom_stop_words=["acme"])) +``` + +::: lancedb.tokenize + +::: lancedb.FtsToken + +## Blobs + +Blob columns store large binary values out of line so they can be read lazily +instead of being materialized with the rest of the row. + +::: lancedb.blob + +::: lancedb.BlobType + +::: lancedb._blob.BlobFile + options: + show_root_full_path: false ## Utilities @@ -106,6 +178,14 @@ asynchronous API. ::: lancedb.merge.LanceMergeInsertBuilder +::: lancedb.otel.instrument_lancedb_metrics + +## Exceptions + +::: lancedb.exceptions.MissingValueError + +::: lancedb.exceptions.MissingColumnError + ## Integrations ## Pydantic @@ -114,19 +194,30 @@ asynchronous API. ::: lancedb.pydantic.vector +::: lancedb.pydantic.Vector + +::: lancedb.pydantic.MultiVector + ::: lancedb.pydantic.LanceModel +## PyTorch + +::: lancedb.streaming.StreamingDataset + +::: lancedb.permutation.permutation_builder + +::: lancedb.permutation.PermutationBuilder + +::: lancedb.permutation.Permutation + +::: lancedb.permutation.Transforms + ## Reranking -::: lancedb.rerankers.linear_combination.LinearCombinationReranker - -::: lancedb.rerankers.cohere.CohereReranker - -::: lancedb.rerankers.colbert.ColbertReranker - -::: lancedb.rerankers.cross_encoder.CrossEncoderReranker - -::: lancedb.rerankers.openai.OpenaiReranker +::: lancedb.rerankers + options: + show_root_heading: false + show_root_toc_entry: false ## Connections (Asynchronous) @@ -137,6 +228,12 @@ can be used to create, list, or open tables. ::: lancedb.db.AsyncConnection +## Namespaces (Asynchronous) + +::: lancedb.connect_namespace_async + +::: lancedb.namespace.AsyncLanceNamespaceDBConnection + ## Tables (Asynchronous) Table hold your actual data as a collection of records / rows. @@ -145,32 +242,20 @@ Table hold your actual data as a collection of records / rows. ::: lancedb.table.AsyncTags +::: lancedb.table.AsyncBranches + ## Indices (Asynchronous) Indices can be created on a table to speed up queries. This section lists the indices that LanceDb supports. -::: lancedb.index.BTree - -::: lancedb.index.Bitmap - -::: lancedb.index.LabelList - -::: lancedb.index.FTS - -::: lancedb.index.IvfPq - -::: lancedb.index.HnswPq - -::: lancedb.index.HnswSq - -::: lancedb.index.IvfFlat - -::: lancedb.index.IvfSq - -::: lancedb.index.IvfRq - -::: lancedb.index.HnswFlat +::: lancedb.index + options: + show_root_heading: false + show_root_toc_entry: false + # `lang_mapping` is defined in the module rather than imported, so it is + # picked up despite not being in `__all__`. It is an internal lookup table. + filters: ["!^_", "!^lang_mapping$"] ::: lancedb.table.IndexStatistics @@ -198,3 +283,7 @@ rows nearest to a query vector and can be created with the ::: lancedb.query.AsyncHybridQuery options: inherited_members: true + +::: lancedb.query.AsyncTakeQuery + options: + inherited_members: true diff --git a/java/lancedb-core/pom.xml b/java/lancedb-core/pom.xml index eb47e25f3..3df2ac178 100644 --- a/java/lancedb-core/pom.xml +++ b/java/lancedb-core/pom.xml @@ -8,7 +8,7 @@ com.lancedb lancedb-parent - 0.37.0-beta.0 + 0.37.1-beta.0 ../pom.xml diff --git a/java/pom.xml b/java/pom.xml index c3a7111b8..1b96cbcab 100644 --- a/java/pom.xml +++ b/java/pom.xml @@ -6,7 +6,7 @@ com.lancedb lancedb-parent - 0.37.0-beta.0 + 0.37.1-beta.0 pom ${project.artifactId} LanceDB Java SDK Parent POM diff --git a/nodejs/CONTRIBUTING.md b/nodejs/CONTRIBUTING.md index d784b9f75..2faa8cd37 100644 --- a/nodejs/CONTRIBUTING.md +++ b/nodejs/CONTRIBUTING.md @@ -1,7 +1,7 @@ # Contributing to LanceDB Typescript This document outlines the process for contributing to LanceDB Typescript. -For general contribution guidelines, see [CONTRIBUTING.md](../CONTRIBUTING.md). +For general contribution guidelines, see [CONTRIBUTING.md](https://github.com/lancedb/lancedb/blob/main/CONTRIBUTING.md). ## Project layout diff --git a/nodejs/Cargo.toml b/nodejs/Cargo.toml index aef5fd54d..10e12edc8 100644 --- a/nodejs/Cargo.toml +++ b/nodejs/Cargo.toml @@ -1,7 +1,7 @@ [package] name = "lancedb-nodejs" edition.workspace = true -version = "0.37.0-beta.0" +version = "0.37.1-beta.0" publish = false license.workspace = true description.workspace = true diff --git a/nodejs/__test__/arrow.test.ts b/nodejs/__test__/arrow.test.ts index 2735f7f72..9e20e3c04 100644 --- a/nodejs/__test__/arrow.test.ts +++ b/nodejs/__test__/arrow.test.ts @@ -991,6 +991,37 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( expectValidMapField(roundTripped.schema.fields[0]); }); + + it("preserves string schema metadata", function () { + const metadata = new Map([["source", "fixture"]]); + const schema = new Schema( + [new Field("value", new Int32(), true)], + metadata, + ); + + expect(makeEmptyTable(schema).schema.metadata.get("source")).toBe( + "fixture", + ); + }); + + it.each([ + ["non-string keys", new Map([[42, "fixture"]])], + ["non-string values", new Map([["source", 42]])], + [ + "non-string keys and values", + new Map([[42, false]]), + ], + ])("rejects schema metadata with %s", function (_, metadataLike) { + const metadata = metadataLike as unknown as Map; + const schema = new Schema( + [new Field("value", new Int32(), true)], + metadata, + ); + + expect(() => makeEmptyTable(schema)).toThrow( + "Expected metadata, if present, to be a Map but it had non-string keys or values", + ); + }); }); describe("when using two versions of arrow", function () { diff --git a/nodejs/__test__/remote.test.ts b/nodejs/__test__/remote.test.ts index 22562b0bc..89a9e992c 100644 --- a/nodejs/__test__/remote.test.ts +++ b/nodejs/__test__/remote.test.ts @@ -226,7 +226,7 @@ describe("remote connection", () => { ); }); - it("sends the FTS posting block size to remote tables", async () => { + it("sends FTS options to remote tables", async () => { let createIndexBody: Record | undefined; await withMockDatabase( @@ -264,7 +264,11 @@ describe("remote connection", () => { async (db) => { const table = await db.openTable("t"); await table.createIndex("text", { - config: Index.fts({ blockSize: 256 }), + config: Index.fts({ + blockSize: 256, + removeStopWords: true, + customStopWords: ["the"], + }), }); }, ); @@ -272,6 +276,7 @@ describe("remote connection", () => { expect(createIndexBody?.["column"]).toBe("text"); expect(createIndexBody?.["index_type"]).toBe("FTS"); expect(createIndexBody?.["block_size"]).toBe(256); + expect(createIndexBody?.["custom_stop_words"]).toEqual(["the"]); }); it("diffs and merges remote branches", async () => { @@ -872,3 +877,96 @@ describe("remote connection", () => { }); }); }); + +describe("remote connection jobs surface", () => { + it("lists, describes, cancels, and reads history", async () => { + const { tableFromArrays, tableToIPC } = await import("apache-arrow"); + const eventsTable = tableFromArrays({ state: ["created", "succeeded"] }); + const eventsBody = Buffer.from(tableToIPC(eventsTable, "stream")); + + await withMockDatabase( + (req, res) => { + let body = ""; + req.on("data", (chunk) => { + body += chunk; + }); + req.on("end", () => { + const payload = body.length > 0 ? JSON.parse(body) : {}; + if (req.url === "/v1/jobs/list") { + if (payload["page_token"] === undefined) { + res + .writeHead(200, { "Content-Type": "application/json" }) + .end( + '{"jobs": [{"job_id": "job-1", "table": "t1", ' + + '"job_type": "create_index", "state": "in_progress", ' + + '"created_at_millis": 1000}], "page_token": "next"}', + ); + } else { + res + .writeHead(200, { "Content-Type": "application/json" }) + .end( + '{"jobs": [{"job_id": "job-2", "table": "t2", ' + + '"job_type": "create_index", "state": "succeeded", ' + + '"created_at_millis": 2000}]}', + ); + } + } else if (req.url === "/v1/jobs/describe") { + if (payload["job_id"] !== "job-1") { + res.writeHead(404).end("no such job"); + return; + } + res + .writeHead(200, { "Content-Type": "application/json" }) + .end( + '{"job_id": "job-1", "job_type": "create_index", ' + + '"job_state": "FAILED", "creation_ms": 1000, ' + + '"spec": {"column": "vec"}, "failure": {"phase": "execute", ' + + '"message": "worker died", "retryable": true}}', + ); + } else if (req.url === "/v1/jobs/cancel") { + if (payload["job_id"] !== "job-1") { + res.writeHead(404).end("no such job"); + return; + } + res + .writeHead(200, { "Content-Type": "application/json" }) + .end('{"job_id": "job-1"}'); + } else if (req.url === "/v1/jobs/query_events") { + res + .writeHead(200, { + "Content-Type": "application/vnd.apache.arrow.stream", + }) + .end(eventsBody); + } else { + res.writeHead(404).end(); + } + }); + }, + async (db) => { + const jobs = await db.listJobs(); + expect(jobs.map((job) => job.jobId)).toEqual(["job-1", "job-2"]); + expect(jobs[0].state).toEqual("running"); + expect(jobs[1].state).toEqual("finished"); + + const description = await db.getJob("job-1"); + expect(description?.state).toEqual("failed"); + expect(JSON.parse(description?.specJson ?? "")).toEqual({ + column: "vec", + }); + expect(description?.failure?.message).toEqual("worker died"); + expect(await db.getJob("missing")).toBeNull(); + + expect(await db.cancelJob("job-1")).toBe(true); + expect(await db.cancelJob("missing")).toBe(false); + + const history = await db.jobHistory("job-1"); + expect(history.numRows).toEqual(2); + + const job = db.job("job-1"); + expect(job.id).toEqual("job-1"); + expect(await job.status()).toEqual("failed"); + await expect(job.wait()).rejects.toThrow("worker died"); + }, + ); + }); +}); diff --git a/nodejs/__test__/table.test.ts b/nodejs/__test__/table.test.ts index 15248f5cf..4cad365af 100644 --- a/nodejs/__test__/table.test.ts +++ b/nodejs/__test__/table.test.ts @@ -851,7 +851,11 @@ describe("When creating an index", () => { afterEach(() => tmpDir.removeCallback()); it("should create a vector index on vector columns", async () => { - await tbl.createIndex("vec"); + const job = await tbl.createIndexAsync("vec"); + expect(job.id).toBeNull(); + await job.wait(); + // Cancelling a job that already finished succeeds and does nothing. + await job.cancel(); // check index directory const indexDir = path.join(tmpDir.name, "test.lance", "_indices"); @@ -2769,6 +2773,15 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( }, ); +test("tokenize supports custom stop words", async () => { + const tokens = await tokenize("the lance data", { + stem: false, + removeStopWords: true, + customStopWords: ["lance"], + }); + expect(tokens.map((token) => token.text)).toEqual(["the", "data"]); +}); + describe("when calling explainPlan", () => { let tmpDir: tmp.DirResult; let table: Table; diff --git a/nodejs/examples/full_text_search.test.ts b/nodejs/examples/full_text_search.test.ts index 9777bda7f..d1567dfbb 100644 --- a/nodejs/examples/full_text_search.test.ts +++ b/nodejs/examples/full_text_search.test.ts @@ -29,8 +29,14 @@ test("full text search", async () => { const tbl = await db.createTable("myVectors", data, { mode: "overwrite" }); await tbl.createIndex("doc", { - config: lancedb.Index.fts(), + config: lancedb.Index.fts({ + stem: false, + removeStopWords: true, + customStopWords: ["banana"], + }), }); + const tokens = await tbl.tokenize("apple banana", { column: "doc" }); + expect(tokens.map((token) => token.text)).toEqual(["apple"]); // --8<-- [start:full_text_search] const result = await tbl diff --git a/nodejs/lancedb/connection.ts b/nodejs/lancedb/connection.ts index ef03e276b..e63a7ae65 100644 --- a/nodejs/lancedb/connection.ts +++ b/nodejs/lancedb/connection.ts @@ -1,6 +1,7 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors +import { tableFromIPC } from "apache-arrow"; import { Data, SchemaLike, @@ -20,6 +21,9 @@ import type { CreateNamespaceResponse, DescribeNamespaceResponse, DropNamespaceResponse, + Job, + JobDescription, + JobInfo, ListNamespacesResponse, } from "./native"; export type { @@ -436,6 +440,40 @@ export abstract class Connection { newName: string, options?: RenameTableOptions, ): Promise; + + /** + * A {@link Job} handle for a server-side job by id. + * + * The handle is constructed without a server round trip; an unknown id + * surfaces when the handle is used. Dropping the handle has no effect on + * the job itself. + */ + abstract job(jobId: string): Job; + + /** List server-side jobs across the database's tables. */ + abstract listJobs(): Promise; + + /** + * Describe a single server-side job by id. + * + * Resolves to `null` when the server has no such job. + */ + abstract getJob(jobId: string): Promise; + + /** + * Request cancellation of a server-side job by id. + * + * Resolves to true if the server accepted the cancellation, false if no + * such job exists. Cancelling an already-terminal job is a no-op success. + */ + abstract cancelJob(jobId: string): Promise; + + /** + * The lifecycle event history of a server-side job, as an Arrow table. + * + * Lists history across all jobs when `jobId` is omitted. + */ + abstract jobHistory(jobId?: string): Promise; } /** @hideconstructor */ @@ -722,6 +760,30 @@ export class LocalConnection extends Connection { options?.newNamespacePath, ); } + + job(jobId: string): Job { + return this.inner.job(jobId); + } + + async listJobs(): Promise { + return this.inner.listJobs(); + } + + async getJob(jobId: string): Promise { + return this.inner.getJob(jobId); + } + + async cancelJob(jobId: string): Promise { + return this.inner.cancelJob(jobId); + } + + async jobHistory(jobId?: string): Promise { + const buf = await this.inner.jobHistory(jobId); + if (buf.length === 0) { + return new ArrowTable(); + } + return tableFromIPC(buf); + } } /** diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts index cb91c30aa..319222421 100644 --- a/nodejs/lancedb/index.ts +++ b/nodejs/lancedb/index.ts @@ -85,7 +85,13 @@ export { RenameTableOptions, } from "./connection"; -export { Session } from "./native.js"; +export { + Job, + JobDescription, + JobFailureInfo, + JobInfo, + Session, +} from "./native.js"; export { ExecutableQuery, @@ -194,6 +200,16 @@ export interface TokenizeOptions { /** Whether to remove stop words. */ removeStopWords?: boolean; + /** + * Custom stop words that replace the built-in list for `language`. + * + * This option only affects tokenization when `removeStopWords` is true. + * + * `undefined` keeps the built-in language list. An empty array explicitly + * replaces it with no stop words. + */ + customStopWords?: string[]; + /** Whether to fold ASCII characters. */ asciiFolding?: boolean; @@ -225,6 +241,7 @@ export async function tokenize( options?.lowercase, options?.stem, options?.removeStopWords, + options?.customStopWords, options?.asciiFolding, options?.ngramMinLength, options?.ngramMaxLength, diff --git a/nodejs/lancedb/indices.ts b/nodejs/lancedb/indices.ts index 9b438ef0f..dbeebf433 100644 --- a/nodejs/lancedb/indices.ts +++ b/nodejs/lancedb/indices.ts @@ -553,6 +553,16 @@ export interface FtsOptions { */ removeStopWords?: boolean; + /** + * Custom stop words that replace the built-in list for `language`. + * + * This option only affects tokenization when `removeStopWords` is true. + * + * `undefined` keeps the built-in language list. An empty array explicitly + * replaces it with no stop words. + */ + customStopWords?: string[]; + /** * whether to remove punctuation */ @@ -755,6 +765,7 @@ export class Index { options?.lowercase, options?.stem, options?.removeStopWords, + options?.customStopWords, options?.asciiFolding, options?.ngramMinLength, options?.ngramMaxLength, diff --git a/nodejs/lancedb/sanitize.ts b/nodejs/lancedb/sanitize.ts index 9f834a7f6..ae0bc0179 100644 --- a/nodejs/lancedb/sanitize.ts +++ b/nodejs/lancedb/sanitize.ts @@ -84,7 +84,7 @@ export function sanitizeMetadata( throw Error("Expected metadata, if present, to be a Map"); } for (const item of metadataLike) { - if (!(typeof item[0] === "string" || !(typeof item[1] === "string"))) { + if (typeof item[0] !== "string" || typeof item[1] !== "string") { throw Error( "Expected metadata, if present, to be a Map but it had non-string keys or values", ); diff --git a/nodejs/lancedb/table.ts b/nodejs/lancedb/table.ts index d814e3e55..3359a2643 100644 --- a/nodejs/lancedb/table.ts +++ b/nodejs/lancedb/table.ts @@ -30,6 +30,7 @@ import { DropColumnsResult, IndexConfig, IndexStatistics, + Job, Branches as NativeBranches, OptimizeStats, TableStatistics, @@ -358,6 +359,17 @@ export abstract class Table { options?: Partial, ): Promise; + /** + * Create an index, returning a handle to the indexing job. + * + * The job may already be complete when returned; callers must not assume + * the index exists until {@link Job.wait} resolves. + */ + abstract createIndexAsync( + column: string, + options?: Partial, + ): Promise; + /** * Drop an index from the table. * @@ -940,6 +952,22 @@ export class LocalTable extends Table { ); } + async createIndexAsync( + column: string, + options?: Partial, + ): Promise { + // biome-ignore lint/suspicious/noExplicitAny: skip + const nativeIndex = (options?.config as any)?.inner; + return await this.inner.createIndexAsync( + nativeIndex, + column, + options?.replace, + options?.waitTimeoutSeconds, + options?.name, + options?.train, + ); + } + async dropIndex(name: string): Promise { await this.inner.dropIndex(name); } diff --git a/nodejs/npm/darwin-arm64/package.json b/nodejs/npm/darwin-arm64/package.json index 618b02547..3c93ed470 100644 --- a/nodejs/npm/darwin-arm64/package.json +++ b/nodejs/npm/darwin-arm64/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-darwin-arm64", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["darwin"], "cpu": ["arm64"], "main": "lancedb.darwin-arm64.node", diff --git a/nodejs/npm/linux-arm64-gnu/package.json b/nodejs/npm/linux-arm64-gnu/package.json index 3eb4eeaba..5ade5aaa3 100644 --- a/nodejs/npm/linux-arm64-gnu/package.json +++ b/nodejs/npm/linux-arm64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-gnu", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-gnu.node", diff --git a/nodejs/npm/linux-arm64-musl/package.json b/nodejs/npm/linux-arm64-musl/package.json index 7dbed5ae4..16bb0edd0 100644 --- a/nodejs/npm/linux-arm64-musl/package.json +++ b/nodejs/npm/linux-arm64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-musl", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-musl.node", diff --git a/nodejs/npm/linux-x64-gnu/package.json b/nodejs/npm/linux-x64-gnu/package.json index 733aef750..6ee11e4bc 100644 --- a/nodejs/npm/linux-x64-gnu/package.json +++ b/nodejs/npm/linux-x64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-gnu", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-gnu.node", diff --git a/nodejs/npm/linux-x64-musl/package.json b/nodejs/npm/linux-x64-musl/package.json index 041a49cb4..c2e15bb9f 100644 --- a/nodejs/npm/linux-x64-musl/package.json +++ b/nodejs/npm/linux-x64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-musl", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-musl.node", diff --git a/nodejs/npm/win32-arm64-msvc/package.json b/nodejs/npm/win32-arm64-msvc/package.json index 2604d021e..d2820b1a1 100644 --- a/nodejs/npm/win32-arm64-msvc/package.json +++ b/nodejs/npm/win32-arm64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-arm64-msvc", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": [ "win32" ], diff --git a/nodejs/npm/win32-x64-msvc/package.json b/nodejs/npm/win32-x64-msvc/package.json index 2ee52df53..601b51380 100644 --- a/nodejs/npm/win32-x64-msvc/package.json +++ b/nodejs/npm/win32-x64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-x64-msvc", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "os": ["win32"], "cpu": ["x64"], "main": "lancedb.win32-x64-msvc.node", diff --git a/nodejs/package-lock.json b/nodejs/package-lock.json index 2317c89a4..8e30b0fab 100644 --- a/nodejs/package-lock.json +++ b/nodejs/package-lock.json @@ -1,12 +1,12 @@ { "name": "@lancedb/lancedb", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@lancedb/lancedb", - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "cpu": [ "x64", "arm64" diff --git a/nodejs/package.json b/nodejs/package.json index e9b861ad1..f3f719af2 100644 --- a/nodejs/package.json +++ b/nodejs/package.json @@ -11,7 +11,7 @@ "ann" ], "private": false, - "version": "0.37.0-beta.0", + "version": "0.37.1-beta.0", "main": "dist/index.js", "exports": { ".": "./dist/index.js", diff --git a/nodejs/src/connection.rs b/nodejs/src/connection.rs index 1a18651f0..c45321aba 100644 --- a/nodejs/src/connection.rs +++ b/nodejs/src/connection.rs @@ -340,6 +340,69 @@ impl Connection { self.get_inner()?.drop_all_tables(&ns).await.default_error() } + /// A `Job` handle for a server-side job by id. + /// + /// The handle is constructed without a server round trip; an unknown id + /// surfaces when the handle is used. + #[napi] + pub fn job(&self, job_id: String) -> napi::Result { + let job = self.get_inner()?.job(job_id).default_error()?; + Ok(crate::job::Job::new(job)) + } + + /// List server-side jobs across the database's tables. + #[napi(catch_unwind)] + pub async fn list_jobs(&self) -> napi::Result> { + let jobs = self.get_inner()?.list_jobs().await.default_error()?; + Ok(jobs.into_iter().map(Into::into).collect()) + } + + /// Describe a single server-side job by id. `null` when the server has + /// no such job. + #[napi(catch_unwind)] + pub async fn get_job( + &self, + job_id: String, + ) -> napi::Result> { + let description = self.get_inner()?.get_job(&job_id).await.default_error()?; + Ok(description.map(Into::into)) + } + + /// Request cancellation of a server-side job by id. Returns true if the + /// server accepted the cancellation, false if no such job exists. + #[napi(catch_unwind)] + pub async fn cancel_job(&self, job_id: String) -> napi::Result { + self.get_inner()?.cancel_job(&job_id).await.default_error() + } + + /// The lifecycle event history of a server-side job (all jobs when + /// `job_id` is null), as an Arrow IPC stream buffer. Empty when there is + /// no history. + #[napi(catch_unwind)] + pub async fn job_history(&self, job_id: Option) -> napi::Result { + let batches = self + .get_inner()? + .job_history(job_id.as_deref()) + .await + .default_error()?; + let Some(first) = batches.first() else { + return Ok(Buffer::from(Vec::::new())); + }; + let mut out = Vec::new(); + let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut out, &first.schema()) + .map_err(|e| napi::Error::from_reason(e.to_string()))?; + for batch in &batches { + writer + .write(batch) + .map_err(|e| napi::Error::from_reason(e.to_string()))?; + } + writer + .finish() + .map_err(|e| napi::Error::from_reason(e.to_string()))?; + drop(writer); + Ok(Buffer::from(out)) + } + #[napi(catch_unwind)] /// Describe a namespace and return its properties. pub async fn describe_namespace( diff --git a/nodejs/src/index.rs b/nodejs/src/index.rs index 66dee7913..762f74870 100644 --- a/nodejs/src/index.rs +++ b/nodejs/src/index.rs @@ -43,6 +43,7 @@ pub fn tokenize( lower_case: Option, stem: Option, remove_stop_words: Option, + custom_stop_words: Option>, ascii_folding: Option, ngram_min_length: Option, ngram_max_length: Option, @@ -72,6 +73,7 @@ pub fn tokenize( if let Some(remove_stop_words) = remove_stop_words { opts = opts.remove_stop_words(remove_stop_words); } + opts = opts.custom_stop_words(custom_stop_words); if let Some(ascii_folding) = ascii_folding { opts = opts.ascii_folding(ascii_folding); } @@ -222,6 +224,7 @@ impl Index { lower_case: Option, stem: Option, remove_stop_words: Option, + custom_stop_words: Option>, ascii_folding: Option, ngram_min_length: Option, ngram_max_length: Option, @@ -250,6 +253,7 @@ impl Index { if let Some(remove_stop_words) = remove_stop_words { opts = opts.remove_stop_words(remove_stop_words); } + opts = opts.custom_stop_words(custom_stop_words); if let Some(ascii_folding) = ascii_folding { opts = opts.ascii_folding(ascii_folding); } diff --git a/nodejs/src/job.rs b/nodejs/src/job.rs new file mode 100644 index 000000000..6aaeee174 --- /dev/null +++ b/nodejs/src/job.rs @@ -0,0 +1,123 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +use std::sync::Arc; + +use napi_derive::napi; + +use crate::error::NapiErrorExt; + +/// A handle to an operation that may still be running. +#[napi] +pub struct Job { + inner: Arc, +} + +impl Job { + pub(crate) fn new(inner: lancedb::Job) -> Self { + Self { + inner: Arc::new(inner), + } + } +} + +#[napi] +impl Job { + /// Identifies the operation on the server that is running it. Operations + /// that run in this process have no server id. The value is opaque. + #[napi(getter)] + pub fn id(&self) -> Option { + self.inner.id().map(str::to_string) + } + + /// The operation's current lifecycle state: "running", "finished", + /// "failed", or "cancelled". + /// + /// A point snapshot; unlike {@link Job.wait} it does not block or reject + /// on a terminal failure state. States a newer server reports that this + /// client version does not know pass through as-is. + #[napi(catch_unwind)] + pub async fn status(&self) -> napi::Result { + self.inner.status().await.default_error() + } + + /// Wait until the operation reaches a terminal state. + #[napi(catch_unwind)] + pub async fn wait(&self) -> napi::Result<()> { + self.inner.wait().await.default_error() + } + + /// Request cancellation. Cancelling a finished operation is a no-op. + #[napi(catch_unwind)] + pub async fn cancel(&self) -> napi::Result<()> { + self.inner.cancel().await.default_error() + } +} + +/// A row from `Connection.listJobs`: one server-side job. +#[napi(object)] +pub struct JobInfo { + /// The job id -- what `Connection.getJob` and `Connection.cancelJob` + /// accept. + pub job_id: String, + /// The table the job runs against, without URI or namespace. + pub table: String, + pub job_type: String, + /// Lifecycle state: "running", "finished", "failed", or "cancelled". + pub state: String, + /// When the job was created, in milliseconds since the epoch. + pub created_at_millis: i64, +} + +impl From for JobInfo { + fn from(info: lancedb::database::JobInfo) -> Self { + Self { + job_id: info.job_id, + table: info.table, + job_type: info.job_type, + state: info.state, + created_at_millis: info.created_at_millis, + } + } +} + +/// The server's account of why a job failed. +#[napi(object)] +pub struct JobFailureInfo { + pub phase: Option, + pub message: Option, + pub retryable: Option, +} + +/// A described job from `Connection.getJob`. +#[napi(object)] +pub struct JobDescription { + pub job_id: String, + pub job_type: String, + /// Lifecycle state: "running", "finished", "failed", or "cancelled". + pub state: String, + /// When the job was created, in milliseconds since the epoch. + pub creation_ms: i64, + /// The job-type-specific specification as a JSON string, when present. + pub spec_json: Option, + /// Why the job failed, when the job is failed and the server reports a + /// reason. + pub failure: Option, +} + +impl From for JobDescription { + fn from(description: lancedb::database::JobDescription) -> Self { + Self { + job_id: description.job_id, + job_type: description.job_type, + state: description.state, + creation_ms: description.creation_ms, + spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()), + failure: description.failure.map(|failure| JobFailureInfo { + phase: failure.phase, + message: failure.message, + retryable: failure.retryable, + }), + } + } +} diff --git a/nodejs/src/lib.rs b/nodejs/src/lib.rs index 93bb2044a..312b675bd 100644 --- a/nodejs/src/lib.rs +++ b/nodejs/src/lib.rs @@ -11,6 +11,7 @@ mod error; mod header; mod index; mod iterator; +mod job; pub mod merge; pub mod otel; pub mod permutation; diff --git a/nodejs/src/table.rs b/nodejs/src/table.rs index d1489034f..7dd902e19 100644 --- a/nodejs/src/table.rs +++ b/nodejs/src/table.rs @@ -168,6 +168,39 @@ impl Table { builder.execute().await.default_error() } + #[napi(catch_unwind)] + pub async fn create_index_async( + &self, + index: Option<&Index>, + column: String, + replace: Option, + wait_timeout_s: Option, + name: Option, + train: Option, + ) -> napi::Result { + let lancedb_index = if let Some(index) = index { + index.consume()? + } else { + lancedb::index::Index::Auto + }; + let mut builder = self.inner_ref()?.create_index(&[column], lancedb_index); + if let Some(replace) = replace { + builder = builder.replace(replace); + } + if let Some(timeout) = wait_timeout_s { + builder = + builder.wait_timeout(std::time::Duration::from_secs(timeout.try_into().unwrap())); + } + if let Some(name) = name { + builder = builder.name(name); + } + if let Some(train) = train { + builder = builder.train(train); + } + let job = builder.execute_async().await.default_error()?; + Ok(crate::job::Job::new(job)) + } + #[napi(catch_unwind)] pub async fn drop_index(&self, index_name: String) -> napi::Result<()> { self.inner_ref()? diff --git a/python/Cargo.toml b/python/Cargo.toml index a0e9394ec..cc706e712 100644 --- a/python/Cargo.toml +++ b/python/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "lancedb-python" -version = "0.37.0-beta.0" +version = "0.37.1-beta.0" publish = false edition.workspace = true description = "Python bindings for LanceDB" diff --git a/python/python/lancedb/__init__.py b/python/python/lancedb/__init__.py index 6f6468d9c..235049f97 100644 --- a/python/python/lancedb/__init__.py +++ b/python/python/lancedb/__init__.py @@ -20,6 +20,7 @@ from .remote import ClientConfig from .remote.db import RemoteDBConnection from .expr import Expr, col, lit, func from .schema import blob, vector, BlobType +from .job import AsyncJob, Job from .table import AsyncTable, Table from .types import BaseTokenizerType from ._lancedb import Session @@ -258,6 +259,7 @@ def tokenize( lower_case: bool = True, stem: bool = True, remove_stop_words: bool = True, + custom_stop_words: Optional[List[str]] = None, ascii_folding: bool = True, ngram_min_length: int = 3, ngram_max_length: int = 3, @@ -265,9 +267,10 @@ def tokenize( ) -> Iterable[FtsToken]: """Tokenize a full-text search query using an explicit tokenizer. - This does not require a table or FTS index. The tokenizer options match - :class:`lancedb.index.FTS`. + This does not require an FTS index. The tokenizer options match + :class:`lancedb.index.FTS`. ``custom_stop_words`` accepts a list of strings. """ + return _tokenize( query, base_tokenizer=base_tokenizer, @@ -276,6 +279,7 @@ def tokenize( lower_case=lower_case, stem=stem, remove_stop_words=remove_stop_words, + custom_stop_words=custom_stop_words, ascii_folding=ascii_folding, ngram_min_length=ngram_min_length, ngram_max_length=ngram_max_length, @@ -497,6 +501,7 @@ __all__ = [ "connect_namespace", "connect_namespace_async", "AsyncConnection", + "AsyncJob", "AsyncLanceNamespaceDBConnection", "AsyncTable", "FtsToken", @@ -510,6 +515,7 @@ __all__ = [ "BlobType", "vector", "DBConnection", + "Job", "LanceDBConnection", "LanceNamespaceDBConnection", "RemoteDBConnection", diff --git a/python/python/lancedb/_blob.py b/python/python/lancedb/_blob.py index 338c973be..926769f48 100644 --- a/python/python/lancedb/_blob.py +++ b/python/python/lancedb/_blob.py @@ -14,14 +14,10 @@ import pyarrow as pa from .expr import Expr from .schema import blob_v2_column_paths from .types import BlobMode, QueryProjection, QueryProjectionSpec -from .util import get_uri_scheme if TYPE_CHECKING: from _typeshed import WriteableBuffer - from .remote.table import RemoteTable - from .table import AsyncTable, Table - BLOB_MODE_TO_HANDLING = { "lazy": "blobs_descriptions", "bytes": "all_binary", @@ -104,22 +100,6 @@ def validate_blob_mode(blob_mode: BlobMode) -> None: raise ValueError(f"blob_mode must be one of {modes}, got {blob_mode!r}") -def supports_blob_auto_row_id(table: Table | AsyncTable | RemoteTable) -> bool: - """Blob auto row-id applies to native tables, not LanceDB Cloud.""" - from .remote.table import RemoteTable - - if isinstance(table, RemoteTable): - return False - - inner = getattr(table, "_inner", None) - if inner is not None: - uri = inner.database().uri - if isinstance(uri, str) and get_uri_scheme(uri) == "db": - return False - - return True - - def projection_includes_blob_column( projection: QueryProjection, blob_columns: Iterable[str], @@ -164,16 +144,14 @@ def v2_projection_needs_row_id( def blob_auto_row_id_for_scan( - table: Table | AsyncTable | RemoteTable, schema: pa.Schema, projection: QueryProjection, *, with_row_id: bool | None, ) -> bool: + """Auto row-id only applies when the caller said nothing about row ids.""" if with_row_id is not None: return False - if not supports_blob_auto_row_id(table): - return False return v2_projection_needs_row_id(schema, projection, with_row_id=False) @@ -186,6 +164,11 @@ def finalize_blob_query_table( ) -> pa.Table: if user_requested_row_id or not blob_auto_row_id: return tbl + if "_rowid" not in tbl.column_names: + # A backend that ignores the row-id request leaves nothing to stash. Hand + # back the projection as-is so fetch_blobs raises the error that names the + # ways to supply row ids, rather than failing here about a hidden column. + return tbl return stash_auto_row_ids(tbl, blob_paths) diff --git a/python/python/lancedb/_lancedb.pyi b/python/python/lancedb/_lancedb.pyi index 9c000a831..47e727f99 100644 --- a/python/python/lancedb/_lancedb.pyi +++ b/python/python/lancedb/_lancedb.pyi @@ -59,6 +59,7 @@ def tokenize( lower_case: bool = True, stem: bool = True, remove_stop_words: bool = True, + custom_stop_words: Optional[List[str]] = None, ascii_folding: bool = True, ngram_min_length: int = 3, ngram_max_length: int = 3, @@ -145,6 +146,13 @@ class Connection(object): start_after: Optional[str], limit: Optional[int], ) -> list[str]: ... # Deprecated: Use list_tables instead + def job(self, job_id: str) -> Job: ... + async def list_jobs(self) -> List[JobInfo]: ... + async def get_job(self, job_id: str) -> Optional[JobDescription]: ... + async def cancel_job(self, job_id: str) -> bool: ... + async def job_history( + self, job_id: Optional[str] = None + ) -> List[pa.RecordBatch]: ... async def create_table( self, name: str, @@ -208,6 +216,47 @@ class BlobFile: def read_range(self, offset: int, length: int) -> bytes: ... def read_up_to(self, length: int) -> bytes: ... +class Job: + @property + def id(self) -> Optional[str]: ... + async def status(self) -> str: ... + async def wait(self) -> None: ... + async def cancel(self) -> None: ... + +class JobInfo: + @property + def job_id(self) -> str: ... + @property + def table(self) -> str: ... + @property + def job_type(self) -> str: ... + @property + def state(self) -> str: ... + @property + def created_at_millis(self) -> int: ... + +class JobFailureInfo: + @property + def phase(self) -> Optional[str]: ... + @property + def message(self) -> Optional[str]: ... + @property + def retryable(self) -> Optional[bool]: ... + +class JobDescription: + @property + def job_id(self) -> str: ... + @property + def job_type(self) -> str: ... + @property + def state(self) -> str: ... + @property + def creation_ms(self) -> int: ... + @property + def spec_json(self) -> Optional[str]: ... + @property + def failure(self) -> Optional[JobFailureInfo]: ... + class Table: def name(self) -> str: ... def __repr__(self) -> str: ... @@ -247,6 +296,28 @@ class Table: name: Optional[str], train: Optional[bool], ): ... + async def create_index_async( + self, + column: str, + index: Union[ + IvfFlat, + IvfSq, + IvfPq, + HnswPq, + HnswSq, + HnswFlat, + BTree, + Bitmap, + LabelList, + Fm, + FTS, + ], + replace: Optional[bool], + wait_timeout: Optional[object], + *, + name: Optional[str], + train: Optional[bool], + ) -> Job: ... async def list_versions(self) -> List[Dict[str, Any]]: ... async def version(self) -> int: ... async def checkout(self, version: Union[int, str]): ... @@ -297,6 +368,11 @@ class Table: async def fetch_blobs( self, column: str, row_ids: list[int] ) -> pa.LargeBinaryArray: ... + async def fetch_blob_ranges( + self, + column: str, + requests: List[Tuple[int, int, int]], + ) -> pa.LargeBinaryArray: ... async def fetch_blob_files( self, column: str, row_ids: list[int] ) -> list[Optional[BlobFile]]: ... diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py index 0db9003d1..b48e84cc5 100644 --- a/python/python/lancedb/db.py +++ b/python/python/lancedb/db.py @@ -45,6 +45,7 @@ from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError from . import __version__ from ._lancedb import connect as lancedb_connect # type: ignore +from .job import AsyncJob, Job from .table import ( AsyncTable, LanceTable, @@ -63,6 +64,7 @@ if TYPE_CHECKING: from .pydantic import LanceModel from ._lancedb import Connection as LanceDbConnection + from ._lancedb import JobDescription, JobInfo from .common import DATA, URI from .embeddings import EmbeddingFunctionConfig from ._lancedb import Session @@ -178,6 +180,51 @@ class DBConnection(EnforceOverrides): "Namespace operations are not supported for this connection type" ) + def namespace_exists(self, namespace_id: List[str]) -> bool: + """Check if a namespace exists. + + Parameters + ---------- + namespace_id: List[str] + The namespace identifier to check. + + Returns + ------- + bool + True if the namespace exists, False otherwise. + + Raises + ------ + NotImplementedError + If the connection type does not support namespace operations. + """ + raise NotImplementedError( + "Namespace operations are not supported for this connection type" + ) + + def table_exists(self, table_id: List[str]) -> bool: + """Check if a table exists. + + Parameters + ---------- + table_id: List[str] + The table identifier to check (full path including namespace + segments and table name). + + Returns + ------- + bool + True if the table exists, False otherwise. + + Raises + ------ + NotImplementedError + If the connection type does not support namespace operations. + """ + raise NotImplementedError( + "Namespace operations are not supported for this connection type" + ) + def list_tables( self, namespace_path: Optional[List[str]] = None, @@ -359,7 +406,7 @@ class DBConnection(EnforceOverrides): Data is converted to Arrow before being written to disk. For maximum control over how data is saved, either provide the PyArrow schema to - convert to or else provide a [PyArrow Table](pyarrow.Table) directly. + convert to or else provide a [PyArrow Table][pyarrow.Table] directly. >>> import pyarrow as pa >>> custom_schema = pa.schema([ @@ -563,6 +610,46 @@ class DBConnection(EnforceOverrides): """ raise NotImplementedError("serialize is not supported for this connection type") + def job(self, job_id: str) -> Job: + """A [Job][lancedb.job.Job] handle for a server-side job by id. + + The handle is constructed without a server round trip; an unknown id + surfaces when the handle is used. Dropping the handle has no effect + on the job itself. + """ + raise NotImplementedError("job is not supported for this connection type") + + def list_jobs(self) -> List[JobInfo]: + """List server-side jobs across the database's tables.""" + raise NotImplementedError("list_jobs is not supported for this connection type") + + def get_job(self, job_id: str) -> Optional[JobDescription]: + """Describe a single server-side job by id. + + Returns None when the server has no such job. + """ + raise NotImplementedError("get_job is not supported for this connection type") + + def cancel_job(self, job_id: str) -> bool: + """Request cancellation of a server-side job by id. + + Returns True if the server accepted the cancellation, False if no + such job exists. Cancelling an already-terminal job is a no-op + success. + """ + raise NotImplementedError( + "cancel_job is not supported for this connection type" + ) + + def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]: + """The lifecycle event history of a server-side job, as Arrow batches. + + Lists history across all jobs when `job_id` is None. + """ + raise NotImplementedError( + "job_history is not supported for this connection type" + ) + class LanceDBConnection(DBConnection): """ @@ -688,11 +775,7 @@ class LanceDBConnection(DBConnection): return cls(None, _inner=inner) def __repr__(self) -> str: - val = f"{self.__class__.__name__}(uri={self._conn.uri!r}" - if self.read_consistency_interval is not None: - val += f", read_consistency_interval={repr(self.read_consistency_interval)}" - val += ")" - return val + return f"{self.__class__.__name__}(uri={self._conn.uri!r})" @override def serialize(self) -> str: @@ -1129,6 +1212,47 @@ class LanceDBConnection(DBConnection): ) ) + @override + def job(self, job_id: str) -> Job: + """A [Job][lancedb.job.Job] handle for a server-side job by id. + + The handle is constructed without a server round trip; an unknown id + surfaces when the handle is used. Dropping the handle has no effect + on the job itself. + """ + return Job(self._conn.job(job_id)) + + @override + def list_jobs(self) -> List[JobInfo]: + """List server-side jobs across the database's tables.""" + return LOOP.run(self._conn.list_jobs()) + + @override + def get_job(self, job_id: str) -> Optional[JobDescription]: + """Describe a single server-side job by id. + + Returns None when the server has no such job. + """ + return LOOP.run(self._conn.get_job(job_id)) + + @override + def cancel_job(self, job_id: str) -> bool: + """Request cancellation of a server-side job by id. + + Returns True if the server accepted the cancellation, False if no + such job exists. Cancelling an already-terminal job is a no-op + success. + """ + return LOOP.run(self._conn.cancel_job(job_id)) + + @override + def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]: + """The lifecycle event history of a server-side job, as Arrow batches. + + Lists history across all jobs when `job_id` is None. + """ + return LOOP.run(self._conn.job_history(job_id)) + @override def namespace_client(self) -> LanceNamespace: """Get the equivalent namespace client for this connection. @@ -1529,7 +1653,7 @@ class AsyncConnection(object): Data is converted to Arrow before being written to disk. For maximum control over how data is saved, either provide the PyArrow schema to - convert to or else provide a [PyArrow Table](pyarrow.Table) directly. + convert to or else provide a [PyArrow Table][pyarrow.Table] directly. >>> import pyarrow as pa >>> custom_schema = pa.schema([ @@ -1838,6 +1962,43 @@ class AsyncConnection(object): namespace_path = [] await self._inner.drop_all_tables(namespace_path=namespace_path) + def job(self, job_id: str) -> AsyncJob: + """An [AsyncJob][lancedb.job.AsyncJob] handle for a server-side job + by id. + + The handle is constructed without a server round trip; an unknown id + surfaces when the handle is used. Dropping the handle has no effect + on the job itself. + """ + return AsyncJob(self._inner.job(job_id)) + + async def list_jobs(self) -> List[JobInfo]: + """List server-side jobs across the database's tables.""" + return await self._inner.list_jobs() + + async def get_job(self, job_id: str) -> Optional[JobDescription]: + """Describe a single server-side job by id. + + Returns None when the server has no such job. + """ + return await self._inner.get_job(job_id) + + async def cancel_job(self, job_id: str) -> bool: + """Request cancellation of a server-side job by id. + + Returns True if the server accepted the cancellation, False if no + such job exists. Cancelling an already-terminal job is a no-op + success. + """ + return await self._inner.cancel_job(job_id) + + async def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]: + """The lifecycle event history of a server-side job, as Arrow batches. + + Lists history across all jobs when `job_id` is None. + """ + return await self._inner.job_history(job_id) + async def namespace_client(self) -> LanceNamespace: """Get the equivalent namespace client for this connection. diff --git a/python/python/lancedb/embeddings/__init__.py b/python/python/lancedb/embeddings/__init__.py index f70aa57b2..4a39b7900 100644 --- a/python/python/lancedb/embeddings/__init__.py +++ b/python/python/lancedb/embeddings/__init__.py @@ -21,3 +21,32 @@ from .watsonx import WatsonxEmbeddings from .voyageai import VoyageAIEmbeddingFunction from .colpali import ColPaliEmbeddings from .siglip import SigLipEmbeddings + +# The API reference renders this package with a single mkdocstrings directive, +# which only picks up names listed here. New embedding functions must be added +# to both the imports above and this list, or they will silently go undocumented. +__all__ = [ + "EmbeddingFunction", + "EmbeddingFunctionConfig", + "TextEmbeddingFunction", + "EmbeddingFunctionRegistry", + "get_registry", + "register", + "SentenceTransformerEmbeddings", + "OpenAIEmbeddings", + "OpenClipEmbeddings", + "BedRockText", + "CohereEmbeddingFunction", + "GeminiText", + "GteEmbeddings", + "InstructorEmbeddingFunction", + "JinaEmbeddings", + "OllamaEmbeddings", + "TransformersEmbeddingFunction", + "ColbertEmbeddings", + "VoyageAIEmbeddingFunction", + "WatsonxEmbeddings", + "ColPaliEmbeddings", + "ImageBindEmbeddings", + "SigLipEmbeddings", +] diff --git a/python/python/lancedb/embeddings/bedrock.py b/python/python/lancedb/embeddings/bedrock.py index ffa44f0c8..dc2badceb 100644 --- a/python/python/lancedb/embeddings/bedrock.py +++ b/python/python/lancedb/embeddings/bedrock.py @@ -21,20 +21,20 @@ class BedRockText(TextEmbeddingFunction): """ Parameters ---------- - name: str, default "amazon.titan-embed-text-v1" + name : str, default "amazon.titan-embed-text-v1" The model ID of the bedrock model to use. Supported models for are: - amazon.titan-embed-text-v1 - cohere.embed-english-v3 - cohere.embed-multilingual-v3 - region: str, default "us-east-1" + region : str, default "us-east-1" Optional name of the AWS Region in which the service should be called. - profile_name: str, default None + profile_name : str, default None Optional name of the AWS profile to use for calling the Bedrock service. If not specified, the default profile will be used. - assumed_role: str, default None + assumed_role : str, default None Optional ARN of an AWS IAM role to assume for calling the Bedrock service. If not specified, the current active credentials will be used. - role_session_name: str, default "lancedb-embeddings" + role_session_name : str, default "lancedb-embeddings" Optional name of the AWS IAM role session to use for calling the Bedrock service. If not specified, "lancedb-embeddings" name will be used. diff --git a/python/python/lancedb/embeddings/cohere.py b/python/python/lancedb/embeddings/cohere.py index 8769ddaaa..8fc460f9a 100644 --- a/python/python/lancedb/embeddings/cohere.py +++ b/python/python/lancedb/embeddings/cohere.py @@ -22,7 +22,7 @@ class CohereEmbeddingFunction(TextEmbeddingFunction): Parameters ---------- - name: str, default "embed-multilingual-v2.0" + name : str, default "embed-multilingual-v2.0" The name of the model to use. List of acceptable models: * embed-english-v3.0 @@ -33,12 +33,14 @@ class CohereEmbeddingFunction(TextEmbeddingFunction): * embed-english-light-v2.0 * embed-multilingual-v2.0 - source_input_type: str, default "search_document" + source_input_type : str, default "search_document" The input type for the source column in the database - query_input_type: str, default "search_query" + query_input_type : str, default "search_query" The input type for the query column in the database + Notes + ----- Cohere supports following input types: | Input Type | Description | diff --git a/python/python/lancedb/embeddings/colpali.py b/python/python/lancedb/embeddings/colpali.py index 4b614bce3..7232d32ce 100644 --- a/python/python/lancedb/embeddings/colpali.py +++ b/python/python/lancedb/embeddings/colpali.py @@ -44,7 +44,7 @@ class ColPaliEmbeddings(EmbeddingFunction): The token pooling strategy to use, by default "hierarchical". - "hierarchical": Progressively pools tokens to reduce sequence length. - "lambda": A simpler pooling that uses a custom `pooling_func`. - pooling_func: typing.Callable, optional + pooling_func : typing.Callable, optional A function to use for pooling when `pooling_strategy` is "lambda". pool_factor : int Factor to reduce sequence length if token pooling is enabled (default 2). @@ -52,7 +52,7 @@ class ColPaliEmbeddings(EmbeddingFunction): Quantization configuration for the model. (default None, bitsandbytes needed) batch_size : int Batch size for processing inputs (default 2). - offload_folder: str, optional + offload_folder : str, optional Folder to offload model weights if using CPU offloading (default None). This is useful for large models that do not fit in memory. """ diff --git a/python/python/lancedb/embeddings/gemini_text.py b/python/python/lancedb/embeddings/gemini_text.py index 1102e92d1..32f2d4d04 100644 --- a/python/python/lancedb/embeddings/gemini_text.py +++ b/python/python/lancedb/embeddings/gemini_text.py @@ -48,16 +48,16 @@ class GeminiText(TextEmbeddingFunction): Parameters ---------- - name: str, default "gemini-embedding-001" + name : str, default "gemini-embedding-001" The name of the model to use. Supported models include: - "gemini-embedding-001" (768 dimensions) Note: The legacy "models/embedding-001" format is also supported but "gemini-embedding-001" is recommended. - query_task_type: str, default "retrieval_query" + query_task_type : str, default "retrieval_query" Sets the task type for the queries. - source_task_type: str, default "retrieval_document" + source_task_type : str, default "retrieval_document" Sets the task type for ingestion. Examples diff --git a/python/python/lancedb/embeddings/gte.py b/python/python/lancedb/embeddings/gte.py index 4f547a30b..9bad4b54f 100644 --- a/python/python/lancedb/embeddings/gte.py +++ b/python/python/lancedb/embeddings/gte.py @@ -26,13 +26,13 @@ class GteEmbeddings(TextEmbeddingFunction): Parameters ---------- - name: str, default "thenlper/gte-large" + name : str, default "thenlper/gte-large" The name of the model to use. - device: str, default "cpu" + device : str, default "cpu" Sets the device type for the model. - normalize: str, default "True" + normalize : str, default "True" Controls normalize param in encode function for the transformer. - mlx: bool, default False + mlx : bool, default False Controls which model to use. False for gte-large,True for the mlx version. Examples diff --git a/python/python/lancedb/embeddings/instructor.py b/python/python/lancedb/embeddings/instructor.py index a694fd382..675a0139c 100644 --- a/python/python/lancedb/embeddings/instructor.py +++ b/python/python/lancedb/embeddings/instructor.py @@ -35,23 +35,23 @@ class InstructorEmbeddingFunction(TextEmbeddingFunction): Parameters ---------- - name: str + name : str The name of the model to use. Available models are listed at https://github.com/xlang-ai/instructor-embedding#model-list; The default model is hkunlp/instructor-base - batch_size: int, default 32 + batch_size : int, default 32 The batch size to use when generating embeddings - device: str, default "cpu" + device : str, default "cpu" The device to use when generating embeddings - show_progress_bar: bool, default True + show_progress_bar : bool, default True Whether to show a progress bar when generating embeddings - normalize_embeddings: bool, default True + normalize_embeddings : bool, default True Whether to normalize the embeddings - quantize: bool, default False + quantize : bool, default False Whether to quantize the model - source_instruction: str, default "represent the document for retrieval" + source_instruction : str, default "represent the document for retrieval" The instruction for the source column - query_instruction: str, default "represent the document for retrieving the most + query_instruction : str, default "represent the document for retrieving the most similar documents" The instruction for the query diff --git a/python/python/lancedb/embeddings/jinaai.py b/python/python/lancedb/embeddings/jinaai.py index 720e80e85..9656f041f 100644 --- a/python/python/lancedb/embeddings/jinaai.py +++ b/python/python/lancedb/embeddings/jinaai.py @@ -40,10 +40,10 @@ class JinaEmbeddings(EmbeddingFunction): Parameters ---------- - name: str, default "jina-clip-v1". Note that some models support both image + name : str, default "jina-clip-v1". Note that some models support both image and text embeddings and some just text embedding - api_key: str, default None + api_key : str, default None The api key to access Jina API. If you pass None, you can set JINA_API_KEY environment variable diff --git a/python/python/lancedb/embeddings/sentence_transformers.py b/python/python/lancedb/embeddings/sentence_transformers.py index 30d283cf7..8be02e9f7 100644 --- a/python/python/lancedb/embeddings/sentence_transformers.py +++ b/python/python/lancedb/embeddings/sentence_transformers.py @@ -21,13 +21,13 @@ class SentenceTransformerEmbeddings(TextEmbeddingFunction): Parameters ---------- - name: str, default "all-MiniLM-L6-v2" + name : str, default "all-MiniLM-L6-v2" The name of the model to use. - device: str, default "cpu" + device : str, default "cpu" The device to use for the model - normalize: bool, default True + normalize : bool, default True Whether to normalize the embeddings - trust_remote_code: bool, default True + trust_remote_code : bool, default True Whether to trust the remote code """ diff --git a/python/python/lancedb/embeddings/voyageai.py b/python/python/lancedb/embeddings/voyageai.py index 3cf70d332..4a721c998 100644 --- a/python/python/lancedb/embeddings/voyageai.py +++ b/python/python/lancedb/embeddings/voyageai.py @@ -167,7 +167,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction): Parameters ---------- - name: str + name : str The name of the model to use. List of acceptable models: * voyage-4 (1024 dims, general-purpose and multilingual retrieval) @@ -185,7 +185,7 @@ class VoyageAIEmbeddingFunction(EmbeddingFunction): * voyage-law-2 * voyage-code-2 - output_dimension: int, optional + output_dimension : int, optional The output dimension for models that support flexible dimensions. Currently only voyage-multimodal-3.5 supports this feature. Valid options: 256, 512, 1024 (default), 2048. diff --git a/python/python/lancedb/exceptions.py b/python/python/lancedb/exceptions.py index 0ac0971e3..daa98ee6e 100644 --- a/python/python/lancedb/exceptions.py +++ b/python/python/lancedb/exceptions.py @@ -23,3 +23,15 @@ class MissingColumnError(KeyError): return ( f"Error: Column '{self.column_name}' does not exist in the DataFrame object" ) + + +class JobFailedError(RuntimeError): + """Exception raised when an asynchronous job reaches the failed state.""" + + pass + + +class JobCancelledError(RuntimeError): + """Exception raised when an asynchronous job was cancelled.""" + + pass diff --git a/python/python/lancedb/index.py b/python/python/lancedb/index.py index c06bb9903..aa7846892 100644 --- a/python/python/lancedb/index.py +++ b/python/python/lancedb/index.py @@ -2,7 +2,7 @@ # SPDX-FileCopyrightText: Copyright The LanceDB Authors from dataclasses import dataclass -from typing import Literal, Optional +from typing import List, Literal, Optional from ._lancedb import ( IndexConfig, @@ -151,6 +151,11 @@ class FTS: remove_stop_words : bool, default True Whether to remove stop words. Stop words are common words that are often removed from text before indexing. For example, in English "the" and "and". + custom_stop_words : list of str, optional + Custom words replace the built-in language stop words + and only take effect when ``remove_stop_words`` is True. ``None`` uses + the built-in language list, while an empty list explicitly uses no + stop words. ascii_folding : bool, default True Whether to fold ASCII characters. This converts accented characters to their ASCII equivalent. For example, "café" would be converted to "cafe". @@ -179,6 +184,7 @@ class FTS: ngram_max_length: int = 3 prefix_only: bool = False block_size: int = 128 + custom_stop_words: Optional[List[str]] = None @dataclass @@ -213,7 +219,7 @@ class HnswPq: distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their l2 norm is 1), then dot distance is equivalent to the cosine distance. - num_partitions, default sqrt(num_rows) + num_partitions: int, default sqrt(num_rows) The number of IVF partitions to create. @@ -222,7 +228,7 @@ class HnswPq: will require too much memory. Each partition becomes its own HNSW graph, so setting this value higher reduces the peak memory use of training. - num_sub_vectors, default is vector dimension / 16 + num_sub_vectors: int, default is vector dimension / 16 Number of sub-vectors of PQ. @@ -238,13 +244,13 @@ class HnswPq: If the dimension is not visible by 8 then we use 1 subvector. This is not ideal and will likely result in poor performance. - num_bits: int, default 8 + num_bits: int, default 8 Number of bits to encode each sub-vector. This value controls how much the sub-vectors are compressed. The more bits the more accurate the index but the slower search. Only 4 and 8 are supported. - max_iterations, default 50 + max_iterations: int, default 50 Max iterations to train kmeans. @@ -257,7 +263,7 @@ class HnswPq: those cases it is unlikely that setting this larger will lead to the index converging anyways. - sample_rate, default 256 + sample_rate: int, default 256 The rate used to calculate the number of training vectors for kmeans. @@ -273,14 +279,14 @@ class HnswPq: Increasing this value might improve the quality of the index but in most cases the default should be sufficient. - m, default 20 + m: int, default 20 The number of neighbors to select for each vector in the HNSW graph. This value controls the tradeoff between search speed and accuracy. The higher the value the more accurate the search but the slower it will be. - ef_construction, default 300 + ef_construction: int, default 300 The number of candidates to evaluate during the construction of the HNSW graph. @@ -291,7 +297,7 @@ class HnswPq: This value should be set to a value that is not less than `ef` in the search phase. - target_partition_size, default is 1,048,576 + target_partition_size: int, default is 1,048,576 The target size of each partition. @@ -345,7 +351,7 @@ class HnswSq: distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their l2 norm is 1), then dot distance is equivalent to the cosine distance. - num_partitions, default sqrt(num_rows) + num_partitions: int, default sqrt(num_rows) The number of IVF partitions to create. @@ -354,7 +360,7 @@ class HnswSq: will require too much memory. Each partition becomes its own HNSW graph, so setting this value higher reduces the peak memory use of training. - max_iterations, default 50 + max_iterations: int, default 50 Max iterations to train kmeans. @@ -367,7 +373,7 @@ class HnswSq: In those cases it is unlikely that setting this larger will lead to the index converging anyways. - sample_rate, default 256 + sample_rate: int, default 256 The rate used to calculate the number of training vectors for kmeans. @@ -383,14 +389,14 @@ class HnswSq: Increasing this value might improve the quality of the index but in most cases the default should be sufficient. - m, default 20 + m: int, default 20 The number of neighbors to select for each vector in the HNSW graph. This value controls the tradeoff between search speed and accuracy. The higher the value the more accurate the search but the slower it will be. - ef_construction, default 300 + ef_construction: int, default 300 The number of candidates to evaluate during the construction of the HNSW graph. @@ -401,7 +407,7 @@ class HnswSq: This value should be set to a value that is not less than `ef` in the search phase. - target_partition_size, default is 1,048,576 + target_partition_size: int, default is 1,048,576 The target size of each partition. @@ -454,7 +460,7 @@ class HnswFlat: distance has a range of (-∞, ∞). If the vectors are normalized (i.e. their l2 norm is 1), then dot distance is equivalent to the cosine distance. - num_partitions, default sqrt(num_rows) + num_partitions: int, default sqrt(num_rows) The number of IVF partitions to create. @@ -464,18 +470,18 @@ class HnswFlat: graph, so setting this value higher reduces the peak memory use of training. - max_iterations, default 50 + max_iterations: int, default 50 Max iterations to train kmeans. When training an IVF index we use kmeans to calculate the partitions. This parameter controls how many iterations of kmeans to run. - sample_rate, default 256 + sample_rate: int, default 256 The rate used to calculate the number of training vectors for kmeans. - m, default 20 + m: int, default 20 The number of neighbors to select for each vector in the HNSW graph. @@ -483,7 +489,7 @@ class HnswFlat: The higher the value the more accurate the search but the slower it will be. - ef_construction, default 300 + ef_construction: int, default 300 The number of candidates to evaluate during the construction of the HNSW graph. @@ -495,7 +501,7 @@ class HnswFlat: than 500. This value should be set to a value that is not less than `ef` in the search phase. - target_partition_size, default is 1,048,576 + target_partition_size: int, default is 1,048,576 The target size of each partition. """ @@ -599,7 +605,7 @@ class IvfFlat: The default value is 256. - target_partition_size, default is 8192 + target_partition_size: int, default is 8192 The target size of each partition. @@ -763,7 +769,7 @@ class IvfPq: The default value is 256. - target_partition_size, default is 8192 + target_partition_size: int, default is 8192 The target size of each partition. @@ -824,7 +830,7 @@ class IvfRq: sample_rate: int, default 256 Controls the number of training vectors: sample_rate * num_partitions. - target_partition_size, default is 8192 + target_partition_size: int, default is 8192 Target size of each partition. """ @@ -839,6 +845,9 @@ class IvfRq: accelerator: Optional[str] = None +# The API reference renders this module with a single mkdocstrings directive, +# which only picks up names listed here. New public names must be added to this +# list, or they will silently go undocumented. __all__ = [ "BTree", "IvfPq", diff --git a/python/python/lancedb/job.py b/python/python/lancedb/job.py new file mode 100644 index 000000000..d33b62cbf --- /dev/null +++ b/python/python/lancedb/job.py @@ -0,0 +1,105 @@ +# SPDX-License-Identifier: Apache-2.0 +# SPDX-FileCopyrightText: Copyright The LanceDB Authors + +"""Handles to operations a server may run asynchronously.""" + +import asyncio +from datetime import timedelta +from typing import Optional + +from lancedb.background_loop import LOOP + +from . import _lancedb + + +class AsyncJob: + """A handle to an operation that may still be running. + + The operation may already be complete when the handle is created. + """ + + def __init__(self, inner: Optional["_lancedb.Job"]): + self._inner = inner + + @property + def id(self) -> Optional[str]: + """Identifies the operation on the server that is running it. + + Returned for correlating with server logs or the jobs API. Operations + that run in this process have no server id and return `None`. The value + is opaque: parsing it or storing it to resume the job later is not + supported. + """ + return self._inner.id if self._inner is not None else None + + async def status(self) -> str: + """The operation's current lifecycle state: "running", "finished", + "failed", or "cancelled". + + A point snapshot; unlike `wait` it does not block or raise on a + terminal failure state. States a newer server reports that this + client version does not know pass through as-is. + """ + if self._inner is None: + return "finished" + return await self._inner.status() + + async def wait(self, timeout: Optional[timedelta] = None): + """Wait until the operation reaches a terminal state. + + Raises `JobFailedError` if the operation failed, `JobCancelledError` + if it was cancelled, and `TimeoutError` if `timeout` elapses first. + """ + if self._inner is None: + return + if timeout is None: + await self._inner.wait() + else: + await asyncio.wait_for(self._inner.wait(), timeout.total_seconds()) + + async def cancel(self): + """Request cancellation. Cancelling a finished operation is a no-op.""" + if self._inner is None: + return + await self._inner.cancel() + + +class Job: + """Synchronous counterpart of `AsyncJob`.""" + + def __init__(self, inner: Optional[AsyncJob]): + self._inner = inner + + @property + def id(self) -> Optional[str]: + """Identifies the operation on the server that is running it. + + See :attr:`AsyncJob.id`. + """ + return self._inner.id if self._inner is not None else None + + def status(self) -> str: + """The operation's current lifecycle state: "running", "finished", + "failed", or "cancelled". + + See :meth:`AsyncJob.status`. + """ + if self._inner is None: + return "finished" + return LOOP.run(self._inner.status()) + + def wait(self, timeout: Optional[timedelta] = None): + """Block until the operation reaches a terminal state. + + Raises `JobFailedError` if the operation failed, `JobCancelledError` + if it was cancelled, and `TimeoutError` if `timeout` elapses first. + """ + if self._inner is None: + return + LOOP.run(self._inner.wait(timeout)) + + def cancel(self): + """Request cancellation. Cancelling a finished operation is a no-op.""" + if self._inner is None: + return + LOOP.run(self._inner.cancel()) diff --git a/python/python/lancedb/namespace.py b/python/python/lancedb/namespace.py index 2759f6e43..b151395cc 100644 --- a/python/python/lancedb/namespace.py +++ b/python/python/lancedb/namespace.py @@ -38,7 +38,11 @@ from lance_namespace_urllib3_client.models.query_table_request_vector import ( QueryTableRequestVector, ) from lance_namespace_urllib3_client.models.string_fts_query import StringFtsQuery -from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError +from lance_namespace.errors import ( + NamespaceNotEmptyError, + NamespaceNotFoundError, + TableNotFoundError, +) from lancedb._lancedb import ( connect_namespace as _connect_namespace, connect_namespace_client as _connect_namespace_client, @@ -53,6 +57,8 @@ from lance_namespace import ( DropNamespaceResponse, ListNamespacesResponse, ListTablesResponse, + NamespaceExistsRequest, + TableExistsRequest, ) from lancedb.table import AsyncTable, LanceTable, Table from lancedb.util import validate_table_name @@ -780,6 +786,51 @@ class LanceNamespaceDBConnection(DBConnection): """ return LOOP.run(self._inner.describe_namespace(namespace_path)) + @override + def namespace_exists(self, namespace_id: List[str]) -> bool: + """ + Check if a namespace exists. + + Parameters + ---------- + namespace_id : List[str] + The namespace identifier to check. + + Returns + ------- + bool + True if the namespace exists, False otherwise. + """ + request = NamespaceExistsRequest(id=namespace_id) + try: + self._namespace_client.namespace_exists(request) + return True + except NamespaceNotFoundError: + return False + + @override + def table_exists(self, table_id: List[str]) -> bool: + """ + Check if a table exists. + + Parameters + ---------- + table_id : List[str] + The table identifier to check (full path including namespace + segments and table name). + + Returns + ------- + bool + True if the table exists, False otherwise. + """ + request = TableExistsRequest(id=table_id) + try: + self._namespace_client.table_exists(request) + return True + except TableNotFoundError: + return False + @override def list_tables( self, @@ -1233,6 +1284,49 @@ class AsyncLanceNamespaceDBConnection: """ return await self._inner.describe_namespace(namespace_path) + async def namespace_exists(self, namespace_id: List[str]) -> bool: + """ + Check if a namespace exists. + + Parameters + ---------- + namespace_id : List[str] + The namespace identifier to check. + + Returns + ------- + bool + True if the namespace exists, False otherwise. + """ + request = NamespaceExistsRequest(id=namespace_id) + try: + self._namespace_client.namespace_exists(request) + return True + except NamespaceNotFoundError: + return False + + async def table_exists(self, table_id: List[str]) -> bool: + """ + Check if a table exists. + + Parameters + ---------- + table_id : List[str] + The table identifier to check (full path including namespace + segments and table name). + + Returns + ------- + bool + True if the table exists, False otherwise. + """ + request = TableExistsRequest(id=table_id) + try: + self._namespace_client.table_exists(request) + return True + except TableNotFoundError: + return False + async def list_tables( self, namespace_path: Optional[List[str]] = None, diff --git a/python/python/lancedb/permutation.py b/python/python/lancedb/permutation.py index 8aa764c4b..b3d95c352 100644 --- a/python/python/lancedb/permutation.py +++ b/python/python/lancedb/permutation.py @@ -438,7 +438,8 @@ class Permutation: _reader: Optional[PermutationReader] = None, ): """ - Internal constructor. Use [from_tables](#from_tables) instead. + Internal constructor. Use + [from_tables][lancedb.permutation.Permutation.from_tables] instead. """ assert base_table is not None, "base_table is required" assert selection is not None, "selection is required" @@ -985,8 +986,9 @@ class Permutation: types. Conversion of strings, lists, and structs will require creating python objects and this is not zero-copy. - For custom formatting, use [with_transform](#with_transform) which overrides - this method. + For custom formatting, use + [with_transform][lancedb.permutation.Permutation.with_transform] which + overrides this method. """ assert format is not None, "format is required" if format == "python": @@ -1061,7 +1063,8 @@ class Permutation: Note: this method returns a new permutation and does not modify `self` It is provided for compatibility with the huggingface Dataset API. - Use [with_skip](#with_skip) instead to avoid confusion. + Use [with_skip][lancedb.permutation.Permutation.with_skip] instead to + avoid confusion. """ return self.with_skip(skip) @@ -1084,7 +1087,8 @@ class Permutation: Note: this method returns a new permutation and does not modify `self` It is provided for compatibility with the huggingface Dataset API. - Use [with_take](#with_take) instead to avoid confusion. + Use [with_take][lancedb.permutation.Permutation.with_take] instead to + avoid confusion. """ return self.with_take(limit) @@ -1107,7 +1111,8 @@ class Permutation: Note: this method returns a new permutation and does not modify `self` It is provided for compatibility with the huggingface Dataset API. - Use [with_repeat](#with_repeat) instead to avoid confusion. + Use [with_repeat][lancedb.permutation.Permutation.with_repeat] instead + to avoid confusion. """ return self.with_repeat(times) diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py index 7063f08cc..60c5d0c68 100644 --- a/python/python/lancedb/query.py +++ b/python/python/lancedb/query.py @@ -52,7 +52,6 @@ from ._blob import ( finalize_blob_query_table, replace_v2_blob_columns_with_bytes, replace_v2_blob_columns_with_bytes_sync, - supports_blob_auto_row_id, validate_blob_mode, ) from .types import BlobMode, QueryProjection @@ -651,7 +650,8 @@ class Query(pydantic.BaseModel): distance_type : Optional[str] the distance type to use for vector search - This can be l2 (default), cosine and dot. See [metric definitions][search] for + This can be l2 (default), cosine and dot. See + [metric definitions](https://lancedb.com/docs/search/vector-search/) for more details. If this is not a vector search this will be None. @@ -664,8 +664,9 @@ class Query(pydantic.BaseModel): - A higher number makes search more accurate but also slower. - - See discussion in [Querying an ANN Index][querying-an-ann-index] for - tuning advice. + - See discussion in + [Querying an ANN Index](https://lancedb.com/docs/indexing/) + for tuning advice. Will be None if this is not a vector search. refine_factor : Optional[int] @@ -673,8 +674,9 @@ class Query(pydantic.BaseModel): - A higher number makes search more accurate but also slower. - - See discussion in [Querying an ANN Index][querying-an-ann-index] for - tuning advice. + - See discussion in + [Querying an ANN Index](https://lancedb.com/docs/indexing/) + for tuning advice. Will be None if this is not a vector search. lower_bound : Optional[float] @@ -1277,10 +1279,7 @@ class LanceQueryBuilder(ABC): return self._with_row_id is True def _blob_auto_row_id_enabled(self) -> bool: - if not supports_blob_auto_row_id(self._table): - return False return blob_auto_row_id_for_scan( - self._table, self._table.schema, self._columns, with_row_id=self._with_row_id, @@ -1651,8 +1650,8 @@ class LanceVectorQueryBuilder(LanceQueryBuilder): Higher values will yield better recall (more likely to find vectors if they exist) at the expense of latency. - See discussion in [Querying an ANN Index][querying-an-ann-index] for - tuning advice. + See discussion in [Querying an ANN Index](https://lancedb.com/docs/indexing/) + for tuning advice. This method sets both the minimum and maximum number of probes to the same value. See `minimum_nprobes` and `maximum_nprobes` for more fine-grained @@ -1752,8 +1751,8 @@ class LanceVectorQueryBuilder(LanceQueryBuilder): As an example, a refine factor of 2 will sample 2x as many vectors as requested, re-ranks them, and returns the top half most relevant results. - See discussion in [Querying an ANN Index][querying-an-ann-index] for - tuning advice. + See discussion in [Querying an ANN Index](https://lancedb.com/docs/indexing/) + for tuning advice. Parameters ---------- @@ -2771,7 +2770,7 @@ class AsyncQueryBase(object): ) async def _maybe_add_blob_row_id(self) -> None: - if self._table is None or not supports_blob_auto_row_id(self._table): + if self._table is None: self._blob_auto_row_id = False self._blob_paths = () return @@ -2779,7 +2778,6 @@ class AsyncQueryBase(object): req = self._inner.to_query_request() schema = await self._table.schema() self._blob_auto_row_id = blob_auto_row_id_for_scan( - self._table, schema, req.select, with_row_id=self._with_row_id, @@ -3031,7 +3029,6 @@ class AsyncQueryBase(object): schema = await self._table.schema() blob_auto_row_id = blob_auto_row_id_for_scan( - self._table, schema, query.columns, with_row_id=self._with_row_id, @@ -3041,7 +3038,7 @@ class AsyncQueryBase(object): if blob_mode == "bytes" else {} ) - dataset = await self._table._to_lance() + dataset = await self._table.to_lance() scanner = dataset.scanner( **_scanner_kwargs_for_query( query, @@ -3379,8 +3376,9 @@ class AsyncQuery(AsyncStandardQuery): are various ANN search parameters that will let you fine tune your recall accuracy vs search latency. - Vector searches always have a [limit][]. If `limit` has not been called then - a default `limit` of 10 will be used. + Vector searches always have a + [limit][lancedb.query.AsyncVectorQuery.limit]. If `limit` has not been + called then a default `limit` of 10 will be used. Typically, a single vector is passed in as the query. However, you can also pass in multiple vectors. When multiple vectors are passed in, if the vector @@ -3511,8 +3509,9 @@ class AsyncFTSQuery(AsyncStandardQuery): are various ANN search parameters that will let you fine tune your recall accuracy vs search latency. - Hybrid searches always have a [limit][]. If `limit` has not been called then - a default `limit` of 10 will be used. + Hybrid searches always have a + [limit][lancedb.query.AsyncHybridQuery.limit]. If `limit` has not been + called then a default `limit` of 10 will be used. Typically, a single vector is passed in as the query. However, you can also pass in multiple vectors. This can be useful if you want to find the nearest @@ -3875,10 +3874,9 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase): req = fts_query._inner.to_query_request() blob_auto_row_id = False blob_paths: tuple[str, ...] = () - if self._table is not None and supports_blob_auto_row_id(self._table): + if self._table is not None: schema = await self._table.schema() blob_auto_row_id = blob_auto_row_id_for_scan( - self._table, schema, req.select, with_row_id=self._with_row_id, diff --git a/python/python/lancedb/remote/__init__.py b/python/python/lancedb/remote/__init__.py index a6ef55eb5..1f255b991 100644 --- a/python/python/lancedb/remote/__init__.py +++ b/python/python/lancedb/remote/__init__.py @@ -11,6 +11,9 @@ from lancedb import __version__ from .header import HeaderProvider from .oauth import OAuthConfig, OAuthFlowType +# The API reference renders this module with a single mkdocstrings directive, +# which only picks up names listed here. New public names must be added to this +# list, or they will silently go undocumented. __all__ = [ "TimeoutConfig", "RetryConfig", diff --git a/python/python/lancedb/remote/db.py b/python/python/lancedb/remote/db.py index 201be33d5..332886590 100644 --- a/python/python/lancedb/remote/db.py +++ b/python/python/lancedb/remote/db.py @@ -7,7 +7,7 @@ import json import logging from concurrent.futures import ThreadPoolExecutor import sys -from typing import Any, Dict, Iterable, List, Optional, Union +from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union from urllib.parse import urlparse import warnings @@ -23,6 +23,10 @@ import pyarrow as pa from ..common import DATA from ..db import DBConnection, LOOP +from ..job import Job + +if TYPE_CHECKING: + from .._lancedb import JobDescription, JobInfo from ..embeddings import EmbeddingFunctionConfig from lance_namespace import ( LanceNamespace, @@ -415,6 +419,11 @@ class RemoteDBConnection(DBConnection): if namespace_path is None: namespace_path = [] + if storage_options is not None: + logging.info( + "storage_options is ignored in LanceDb Cloud" + " (storage is managed; set storage_options on connect() instead)" + ) if index_cache_size is not None: logging.info( "index_cache_size is ignored in LanceDb Cloud" @@ -684,6 +693,47 @@ class RemoteDBConnection(DBConnection): ) ) + @override + def job(self, job_id: str) -> Job: + """A [Job][lancedb.job.Job] handle for a server-side job by id. + + The handle is constructed without a server round trip; an unknown id + surfaces when the handle is used. Dropping the handle has no effect + on the job itself. + """ + return Job(self._conn.job(job_id)) + + @override + def list_jobs(self) -> List["JobInfo"]: + """List server-side jobs across the database's tables.""" + return LOOP.run(self._conn.list_jobs()) + + @override + def get_job(self, job_id: str) -> Optional["JobDescription"]: + """Describe a single server-side job by id. + + Returns None when the server has no such job. + """ + return LOOP.run(self._conn.get_job(job_id)) + + @override + def cancel_job(self, job_id: str) -> bool: + """Request cancellation of a server-side job by id. + + Returns True if the server accepted the cancellation, False if no + such job exists. Cancelling an already-terminal job is a no-op + success. + """ + return LOOP.run(self._conn.cancel_job(job_id)) + + @override + def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]: + """The lifecycle event history of a server-side job, as Arrow batches. + + Lists history across all jobs when `job_id` is None. + """ + return LOOP.run(self._conn.job_history(job_id)) + @override def namespace_client(self) -> LanceNamespace: """Get the equivalent namespace client for this connection. diff --git a/python/python/lancedb/remote/errors.py b/python/python/lancedb/remote/errors.py index 2f2dad9b4..5aa13a9c7 100644 --- a/python/python/lancedb/remote/errors.py +++ b/python/python/lancedb/remote/errors.py @@ -53,9 +53,9 @@ class RetryError(LanceDBClientError): """An error that occurs when the client has exceeded the maximum number of retries. The retry strategy can be adjusted by setting the - [retry_config](lancedb.remote.ClientConfig.retry_config) in the client + [retry_config][lancedb.remote.ClientConfig.retry_config] in the client configuration. This is passed in the `client_config` argument of - [connect](lancedb.connect) and [connect_async](lancedb.connect_async). + [connect][lancedb.connect] and [connect_async][lancedb.connect_async]. The __cause__ attribute of this exception will be the last exception that caused the retry to fail. It will be an diff --git a/python/python/lancedb/remote/table.py b/python/python/lancedb/remote/table.py index 80c250bf5..acc2f4c9d 100644 --- a/python/python/lancedb/remote/table.py +++ b/python/python/lancedb/remote/table.py @@ -20,6 +20,7 @@ from typing import ( import warnings from lancedb import __version__ +from lancedb._blob import BlobFile from lancedb._lancedb import ( AddColumnsResult, @@ -47,6 +48,7 @@ from lancedb.index import ( IvfSq, LabelList, ) +from lancedb.job import Job from lancedb.remote.db import LOOP from lancedb.table import IndexConfigType, KNOWN_METRICS import pyarrow as pa @@ -340,6 +342,7 @@ class RemoteTable(Table): lower_case: bool = True, stem: bool = True, remove_stop_words: bool = True, + custom_stop_words: Optional[List[str]] = None, ascii_folding: bool = True, ngram_min_length: int = 3, ngram_max_length: int = 3, @@ -361,6 +364,7 @@ class RemoteTable(Table): lower_case=lower_case, stem=stem, remove_stop_words=remove_stop_words, + custom_stop_words=custom_stop_words, ascii_folding=ascii_folding, ngram_min_length=ngram_min_length, ngram_max_length=ngram_max_length, @@ -538,6 +542,34 @@ class RemoteTable(Table): ) ) + def create_index_async( + self, + column: str, + *, + config: IndexConfigType, + replace: Optional[bool] = None, + wait_timeout: Optional[timedelta] = None, + name: Optional[str] = None, + train: bool = True, + ) -> Job: + """Create an index, returning a handle to the indexing job. + + The job may already be complete when returned; callers must not assume + the index exists until :meth:`Job.wait` returns. + """ + return Job( + LOOP.run( + self._table.create_index_async( + column, + replace=replace, + config=config, + wait_timeout=wait_timeout, + name=name, + train=train, + ) + ) + ) + def _is_legacy_create_index_call( self, first_arg: str, @@ -578,8 +610,9 @@ class RemoteTable(Table): progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, ) -> AddResult: - """Add more data to the [Table](Table). It has the same API signature as - the OSS version. + """Add more data to the [Table][lancedb.table.Table]. + + It has the same API signature as the OSS version. Parameters ---------- @@ -639,7 +672,8 @@ class RemoteTable(Table): fast_search: bool = False, ) -> LanceVectorQueryBuilder: """Create a search query to find the nearest neighbors - of the given query vector. We currently support [vector search][search] + of the given query vector. We currently support + [vector search](https://lancedb.com/docs/search/vector-search/) All query options are defined in [LanceVectorQueryBuilder][lancedb.query.LanceVectorQueryBuilder]. @@ -1035,17 +1069,22 @@ class RemoteTable(Table): ) def blob_columns(self) -> list[str]: + return LOOP.run(self._table.blob_columns()) + + def fetch_blobs( + self, column: str, row_ids: Union[list[int], pa.Table] + ) -> pa.LargeBinaryArray: + return LOOP.run(self._table.fetch_blobs(column, row_ids)) + + def fetch_blob_ranges(self, column: str, requests) -> pa.LargeBinaryArray: raise NotImplementedError( - "blob_columns() is not yet supported on the LanceDB Cloud" + "fetch_blob_ranges() is not supported on LanceDB Cloud" ) - def fetch_blobs(self, column: str, row_ids) -> pa.LargeBinaryArray: - raise NotImplementedError("fetch_blobs() is not supported on LanceDB Cloud") - - def fetch_blob_files(self, column: str, row_ids): - raise NotImplementedError( - "fetch_blob_files() is not supported on LanceDB Cloud" - ) + def fetch_blob_files( + self, column: str, row_ids: Union[list[int], pa.Table] + ) -> "list[Optional[BlobFile]]": + return LOOP.run(self._table.fetch_blob_files(column, row_ids)) def head(self, n=5) -> pa.Table: """ diff --git a/python/python/lancedb/rerankers/__init__.py b/python/python/lancedb/rerankers/__init__.py index 86b0ac884..aef2d331e 100644 --- a/python/python/lancedb/rerankers/__init__.py +++ b/python/python/lancedb/rerankers/__init__.py @@ -14,6 +14,9 @@ from .answerdotai import AnswerdotaiRerankers from .voyageai import VoyageAIReranker from .watsonx import WatsonxReranker +# The API reference renders this module with a single mkdocstrings directive, +# which only picks up names listed here. New public names must be added to this +# list, or they will silently go undocumented. __all__ = [ "Reranker", "CrossEncoderReranker", diff --git a/python/python/lancedb/streaming.py b/python/python/lancedb/streaming.py index 9ffc612d9..525ed3d63 100644 --- a/python/python/lancedb/streaming.py +++ b/python/python/lancedb/streaming.py @@ -59,9 +59,10 @@ class StreamingDataset(IterableDataset): - **Stage 1 (I/O)**: one thread pool with ``num_splits * prefetch_batches`` workers fetches raw ``RecordBatch`` objects from LanceDB in parallel across all splits and places them in a per-split raw-batch queue. - - **Stage 2 (transform)**: a second thread pool with ``os.cpu_count()`` - workers picks up raw batches, applies the transform, and places the - results in a per-split cooked-row queue. + - **Stage 2 (transform)**: a second thread pool with + ``transform_parallelism`` workers picks up raw batches, applies the + transform, and places the results in a per-split cooked-row queue. By + default, the number of workers is determined by ``os.cpu_count()``. The main thread round-robins over the cooked queues, yielding one row per split per cycle. @@ -122,6 +123,10 @@ class StreamingDataset(IterableDataset): are yielded. Receives one batch at a time and must return an iterable whose length equals the number of rows in the batch. When ``None`` (the default) rows are returned as plain Python dicts. + transform_parallelism: + Maximum number of transforms to run concurrently. Must be greater + than zero. When ``None`` (the default), uses ``os.cpu_count()`` or 1 + when the CPU count is unavailable. worker_info_override: If set, used in place of ``torch.utils.data.get_worker_info()`` to determine the DataLoader worker assignment. Intended for unit tests @@ -146,6 +151,7 @@ class StreamingDataset(IterableDataset): shuffle_clump_size: Optional[int] = None, filter: Optional[str] = None, transform: Optional[Callable] = None, + transform_parallelism: Optional[int] = None, connection_factory: Optional[Callable[[str], Any]] = None, worker_info_override=None, ): @@ -159,6 +165,8 @@ class StreamingDataset(IterableDataset): f"num_splits ({num_splits}) must be divisible by " f"world_size ({world_size})" ) + if transform_parallelism is not None and transform_parallelism <= 0: + raise ValueError("transform_parallelism must be greater than 0") self._table = table self._num_splits = num_splits @@ -173,6 +181,7 @@ class StreamingDataset(IterableDataset): self._shuffle_clump_size = shuffle_clump_size self._filter = filter self._transform = transform + self._transform_parallelism = transform_parallelism self._connection_factory = connection_factory self._worker_info_override = worker_info_override @@ -284,7 +293,11 @@ class StreamingDataset(IterableDataset): batch_size = self._read_batch_size max_prefetch = self._prefetch_batches - cpu_workers = os.cpu_count() or 1 + transform_workers = ( + self._transform_parallelism + if self._transform_parallelism is not None + else (os.cpu_count() or 1) + ) final_transform = ( self._transform if self._transform is not None else Transforms.arrow2python ) @@ -296,8 +309,8 @@ class StreamingDataset(IterableDataset): tx_pending = [deque() for _ in range(n)] # Future[list[Any]] cooked = [deque() for _ in range(n)] # rows ready to yield - # Limit simultaneous transforms to cpu_workers across all splits. - tx_semaphore = threading.Semaphore(cpu_workers) + # Limit simultaneous transforms to transform_workers across all splits. + tx_semaphore = threading.Semaphore(transform_workers) # ── Stage 1 helpers ─────────────────────────────────────────────────── @@ -369,7 +382,7 @@ class StreamingDataset(IterableDataset): _advance(i) elif raw_batches[i]: # Acquire a transform slot (may block briefly if all - # cpu_workers are busy with other splits). + # transform_workers are busy with other splits). tx_semaphore.acquire() batch = raw_batches[i].popleft() tx_pending[i].append(tx_pool.submit(_tx_call_guarded, batch)) @@ -383,7 +396,7 @@ class StreamingDataset(IterableDataset): # ── Main loop ───────────────────────────────────────────────────────── with ThreadPoolExecutor(max_workers=n * max_prefetch) as io_pool: - with ThreadPoolExecutor(max_workers=cpu_workers) as tx_pool: + with ThreadPoolExecutor(max_workers=transform_workers) as tx_pool: self._raw_batches_ref = raw_batches self._cooked_ref = cooked self._fetch_head_ref = fetch_head diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index f61a1f1cf..ea0f97621 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -20,6 +20,7 @@ from typing import ( List, Literal, Optional, + Sequence, Tuple, Union, overload, @@ -39,6 +40,7 @@ from ._blob import ( from .types import BlobMode from lancedb.arrow import peek_reader from lancedb.background_loop import LOOP, embedding_executor +from lancedb.job import AsyncJob, Job from .dependencies import ( _check_for_hugging_face, _check_for_lance, @@ -976,6 +978,24 @@ class Table(ABC): """ raise NotImplementedError + def create_index_async( + self, + column: str, + *, + config: IndexConfigType, + replace: Optional[bool] = None, + wait_timeout: Optional[timedelta] = None, + name: Optional[str] = None, + train: bool = True, + ) -> Job: + """Create an index, returning a handle to the indexing job. + + Takes the same arguments as :meth:`create_index`. The job may already + be complete when returned; callers must not assume the index exists + until :meth:`Job.wait` returns. + """ + raise NotImplementedError + def drop_index(self, name: str) -> None: """ Drop an index from the table. @@ -1102,6 +1122,7 @@ class Table(ABC): lower_case: bool = True, stem: bool = True, remove_stop_words: bool = True, + custom_stop_words: Optional[List[str]] = None, ascii_folding: bool = True, ngram_min_length: int = 3, ngram_max_length: int = 3, @@ -1169,6 +1190,9 @@ class Table(ABC): remove_stop_words : bool, default True Whether to remove stop words. Stop words are common words that are often removed from text before indexing. For example, in English "the" and "and". + custom_stop_words : list of str, optional + Custom words that replace the built-in language stop words. ``None`` + uses the built-in list; an empty list explicitly uses no stop words. ascii_folding : bool, default True Whether to fold ASCII characters. This converts accented characters to their ASCII equivalent. For example, "café" would be converted to "cafe". @@ -1206,7 +1230,7 @@ class Table(ABC): progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, ) -> AddResult: - """Add more data to the [Table](Table). + """Add more data to the [Table][lancedb.table.Table]. Parameters ---------- @@ -1338,8 +1362,8 @@ class Table(ABC): fts_columns: Optional[Union[str, List[str]]] = None, ) -> LanceQueryBuilder: """Create a search query to find the nearest neighbors - of the given query vector. We currently support [vector search][search] - and [full-text search][experimental-full-text-search]. + of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/) + and [full-text search](https://lancedb.com/docs/search/full-text-search/). All query options are defined in [LanceQueryBuilder][lancedb.query.LanceQueryBuilder]. @@ -1538,10 +1562,30 @@ class Table(ABC): ) -> pa.LargeBinaryArray: """Materialize full blob bytes for ``column`` at the given rows. + The result has the same length and order as ``row_ids``. Null blobs + produce null slots; valid empty blobs produce ``b""``. + Convenience for small payloads. For large values use :meth:`fetch_blob_files`. """ + @abstractmethod + def fetch_blob_ranges( + self, + column: str, + requests: Sequence[Tuple[int, int, int]], + ) -> pa.LargeBinaryArray: + """Materialize row-specific byte ranges from a blob v2 column. + + Each request is a ``(row_id, offset, length)`` tuple. Requests may be + repeated or reordered, including multiple ranges for the same blob. + The result has the same length and order as ``requests``; null blobs + produce null slots and empty ranges on non-null blobs produce ``b""``. + + Row IDs can be obtained from a query with ``with_row_id(True)``. This + API is currently supported only by local tables. + """ + @abstractmethod def fetch_blob_files( self, column: str, row_ids: Union[list[int], pa.Table] @@ -1549,8 +1593,10 @@ class Table(ABC): """Open lazy, seekable :class:`~lancedb._blob.BlobFile` handles. Prefer this over :meth:`fetch_blobs` for large payloads. ``row_ids`` is - a ``list[int]`` or query ``pyarrow.Table`` with ``_rowid`` (or stashed - row-id metadata). Null rows are ``None``. Local tables only. + a ``list[int]`` or a query ``pyarrow.Table`` carrying row identity via + ``_rowid`` or a ``_lance_row_id`` field on the blob descriptor. Null + rows are ``None``. Unsupported on LanceDB Cloud, where + :meth:`fetch_blobs` returns full bytes instead. """ @abstractmethod @@ -1753,7 +1799,7 @@ class Table(ABC): for faster reads. Arguments are passed onto Lance's - [compact_files][lance.dataset.DatasetOptimizer.compact_files]. + `lance.dataset.DatasetOptimizer.compact_files`. For most cases, the default should be fine. See Also @@ -1807,6 +1853,8 @@ class Table(ABC): retrain: bool, default False This parameter is no longer used and is deprecated. + Notes + ----- The frequency an application should call optimize is based on the frequency of data modifications. If data is frequently added, deleted, or updated then optimize should be run frequently. A good rule of thumb is to run optimize if @@ -1961,15 +2009,14 @@ class Table(ABC): change permanent you can use the `[Self::restore]` method. Any operation that modifies the table will fail while the table is in a checked - out state. + out state. To return the table to a normal state use + `[Self::checkout_latest]`. Parameters ---------- version: int | str, The version to check out. A version number (`int`) or a tag (`str`) can be provided. - - To return the table to a normal state use `[Self::checkout_latest]` """ @abstractmethod @@ -2265,6 +2312,13 @@ class LanceTable(Table): ) -> pa.LargeBinaryArray: return LOOP.run(self._table.fetch_blobs(column, row_ids)) + def fetch_blob_ranges( + self, + column: str, + requests: Sequence[Tuple[int, int, int]], + ) -> pa.LargeBinaryArray: + return LOOP.run(self._table.fetch_blob_ranges(column, list(requests))) + def fetch_blob_files( self, column: str, row_ids: Union[list[int], pa.Table] ) -> "list[Optional[BlobFile]]": @@ -2436,13 +2490,7 @@ class LanceTable(Table): return LOOP.run(self._table.count_rows(filter)) def __repr__(self) -> str: - val = f"{self.__class__.__name__}(name={self.name!r}" - if self._conn.read_consistency_interval is not None: - val += ", read_consistency_interval={!r}".format( - self._conn.read_consistency_interval - ) - val += f", _conn={self._conn!r})" - return val + return f"{self.__class__.__name__}(name={self.name!r}, _conn={self._conn!r})" def __str__(self) -> str: return self.__repr__() @@ -2751,6 +2799,34 @@ class LanceTable(Table): ) ) + def create_index_async( + self, + column: str, + *, + config: IndexConfigType, + replace: Optional[bool] = None, + wait_timeout: Optional[timedelta] = None, + name: Optional[str] = None, + train: bool = True, + ) -> Job: + """Create an index, returning a handle to the indexing job. + + The job may already be complete when returned; callers must not assume + the index exists until :meth:`Job.wait` returns. + """ + return Job( + LOOP.run( + self._table.create_index_async( + column, + replace=replace, + config=config, + wait_timeout=wait_timeout, + name=name, + train=train, + ) + ) + ) + def _is_legacy_create_index_call( self, first_arg: str, @@ -3027,6 +3103,7 @@ class LanceTable(Table): lower_case: bool = True, stem: bool = True, remove_stop_words: bool = True, + custom_stop_words: Optional[List[str]] = None, ascii_folding: bool = True, ngram_min_length: int = 3, ngram_max_length: int = 3, @@ -3073,6 +3150,7 @@ class LanceTable(Table): "lower_case": lower_case, "stem": stem, "remove_stop_words": remove_stop_words, + "custom_stop_words": custom_stop_words, "ascii_folding": ascii_folding, "ngram_min_length": ngram_min_length, "ngram_max_length": ngram_max_length, @@ -3080,6 +3158,7 @@ class LanceTable(Table): } else: tokenizer_configs = self.infer_tokenizer_configs(tokenizer_name) + tokenizer_configs["custom_stop_words"] = custom_stop_words config = FTS(block_size=block_size, **tokenizer_configs) @@ -3352,8 +3431,8 @@ class LanceTable(Table): fts_columns: Optional[Union[str, List[str]]] = None, ) -> LanceQueryBuilder: """Create a search query to find the nearest neighbors - of the given query vector. We currently support [vector search][search] - and [full-text search][search]. + of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/) + and [full-text search](https://lancedb.com/docs/search/full-text-search/). Examples -------- @@ -3383,8 +3462,9 @@ class LanceTable(Table): - *default None*. Acceptable types are: list, np.ndarray, PIL.Image.Image - - If None then the select/[where][sql]/limit clauses are applied - to filter the table + - If None then the + select/[where][lancedb.query.LanceQueryBuilder.where]/limit clauses + are applied to filter the table vector_column_name: str, optional The name of the vector column to search. @@ -3778,6 +3858,8 @@ class LanceTable(Table): retrain: bool, default False This parameter is no longer used and is deprecated. + Notes + ----- The frequency an application should call optimize is based on the frequency of data modifications. If data is frequently added, deleted, or updated then optimize should be run frequently. A good rule of thumb is to run optimize if @@ -4650,7 +4732,24 @@ class AsyncTable: """ return AsyncQuery(self._inner.query(), self) - async def _to_lance(self, **kwargs) -> lance.LanceDataset: + async def to_lance(self, **kwargs) -> lance.LanceDataset: + """Return the Lance dataset backing this table. + + Parameters + ---------- + **kwargs + Forwarded to `lance.dataset`. + + Returns + ------- + lance.LanceDataset + The Lance dataset at this table handle's version and branch. + + Examples + -------- + >>> async def get_lance_dataset(table): + ... return await table.to_lance() + """ try: import lance except ImportError: @@ -4700,7 +4799,7 @@ class AsyncTable: return (await self.to_arrow()).to_pandas(**kwargs) if blob_mode == "bytes" and blob_v2_column_paths(schema): return await self.query().to_pandas(blob_mode=blob_mode, **kwargs) - return (await self._to_lance()).to_pandas(blob_mode=blob_mode, **kwargs) + return (await self.to_lance()).to_pandas(blob_mode=blob_mode, **kwargs) async def to_arrow(self) -> pa.Table: """Return the table as a pyarrow Table. @@ -4815,6 +4914,46 @@ class AsyncTable: ) raise e + async def create_index_async( + self, + column: str, + *, + replace: Optional[bool] = None, + config: Optional[ + Union[ + IvfFlat, + IvfPq, + IvfRq, + HnswPq, + HnswSq, + HnswFlat, + BTree, + Bitmap, + LabelList, + Fm, + FTS, + ] + ] = None, + wait_timeout: Optional[timedelta] = None, + name: Optional[str] = None, + train: bool = True, + ) -> AsyncJob: + """Create an index, returning a handle to the indexing job. + + Takes the same arguments as :meth:`create_index`. The job may already + be complete when returned; callers must not assume the index exists + until :meth:`AsyncJob.wait` resolves. + """ + job = await self._inner.create_index_async( + column, + index=config, + replace=replace, + wait_timeout=wait_timeout, + name=name, + train=train, + ) + return AsyncJob(job) + async def drop_index(self, name: str) -> None: """ Drop an index from the table. @@ -4958,7 +5097,7 @@ class AsyncTable: progress: Optional[Union[bool, Callable, Any]] = None, write_parallelism: Optional[int] = None, ) -> AddResult: - """Add more data to the [Table](Table). + """Add more data to the [AsyncTable][lancedb.table.AsyncTable]. Parameters ---------- @@ -5160,8 +5299,8 @@ class AsyncTable: fts_columns: Optional[Union[str, List[str]]] = None, ) -> Union[AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]: """Create a search query to find the nearest neighbors - of the given query vector. We currently support [vector search][search] - and [full-text search][experimental-full-text-search]. + of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/) + and [full-text search](https://lancedb.com/docs/search/full-text-search/). All query options are defined in [AsyncQuery][lancedb.query.AsyncQuery]. @@ -5722,15 +5861,14 @@ class AsyncTable: change permanent you can use the `[Self::restore]` method. Any operation that modifies the table will fail while the table is in a checked - out state. + out state. To return the table to a normal state use + `[Self::checkout_latest]`. Parameters ---------- version: int | str, The version to check out. A version number (`int`) or a tag (`str`) can be provided. - - To return the table to a normal state use `[Self::checkout_latest]` """ try: await self._inner.checkout(version) @@ -5829,6 +5967,13 @@ class AsyncTable: column, _normalize_blob_row_ids(row_ids, column) ) + async def fetch_blob_ranges( + self, + column: str, + requests: Sequence[Tuple[int, int, int]], + ) -> pa.LargeBinaryArray: + return await self._inner.fetch_blob_ranges(column, list(requests)) + async def fetch_blob_files( self, column: str, row_ids: Union[list[int], pa.Table] ) -> "list[Optional[BlobFile]]": @@ -5907,6 +6052,8 @@ class AsyncTable: retrain: bool, default False This parameter is no longer used and is deprecated. + Notes + ----- The frequency an application should call optimize is based on the frequency of data modifications. If data is frequently added, deleted, or updated then optimize should be run frequently. A good rule of thumb is to run optimize if @@ -6287,6 +6434,8 @@ class Branches: dry_run: bool, default False When True, only preview. When False, attempt the merge. + Notes + ----- A rejected merge returns ``status="rejected"`` instead of raising. """ return LOOP.run(self._table.branches.merge(from_branch, dry_run)) diff --git a/python/python/tests/test_blob.py b/python/python/tests/test_blob.py index 05af14298..b205c20a6 100644 --- a/python/python/tests/test_blob.py +++ b/python/python/tests/test_blob.py @@ -184,18 +184,75 @@ def test_fetch_blobs_accepts_query_result(): assert {blobs[i].as_py() for i in range(len(blobs))} == {b"gamma"} -def test_fetch_blobs_null_alignment(): +def test_fetch_blobs_preserves_null_and_empty_values(): table = _blob_table( "nulls", - [{"id": 1, "image": b"present"}, {"id": 2, "image": None}], + [ + {"id": 1, "image": b"present"}, + {"id": 2, "image": None}, + {"id": 3, "image": b""}, + ], ) by_id = _row_ids_by_id(table) - request = [by_id[1], by_id[2], by_id[1]] + request = [by_id[1], by_id[2], by_id[3], by_id[1]] blobs = table.fetch_blobs("image", request) assert len(blobs) == len(request) assert blobs[0].as_py() == b"present" assert blobs[1].as_py() is None - assert blobs[2].as_py() == b"present" + assert blobs[2].as_py() == b"" + assert blobs[3].as_py() == b"present" + + +def test_fetch_blob_ranges_aligns_repeated_ranges_and_nulls(): + table = _blob_table( + "range_alignment", + [{"id": 1, "image": b"abcdefghij"}, {"id": 2, "image": None}], + ) + by_id = _row_ids_by_id(table) + requests = [ + (by_id[1], 2, 3), + (by_id[2], 0, 0), + (by_id[1], 0, 2), + (by_id[1], 2, 3), + (by_id[1], 10, 0), + ] + + ranges = table.fetch_blob_ranges("image", requests) + + assert ranges.to_pylist() == [b"cde", None, b"ab", b"cde", b""] + + +def test_fetch_blob_ranges_validates_requests(): + table = _blob_table("range_validation", [{"id": 1, "image": b"abc"}]) + row_id = _row_ids_by_id(table)[1] + + with pytest.raises(ValueError, match="exceeds blob size"): + table.fetch_blob_ranges("image", [(row_id, 2, 2)]) + + with pytest.raises(ValueError, match="offset \\+ length overflowed"): + table.fetch_blob_ranges("image", [(row_id, 2**64 - 1, 1)]) + + with pytest.raises(ValueError, match="row IDs"): + table.fetch_blob_ranges("image", [(2**64 - 1, 0, 1)]) + + +def test_fetch_blob_ranges_empty_requests_returns_empty_array(): + table = _blob_table("range_empty", [{"id": 1, "image": b"x"}]) + assert table.fetch_blob_ranges("image", []).to_pylist() == [] + + +@pytest.mark.asyncio +async def test_async_fetch_blob_ranges(): + db = await lancedb.connect_async("memory:///") + schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")]) + table = await db.create_table("range_async", schema=schema) + await table.add([{"id": 1, "image": b"abcdefghij"}]) + hits = await table.query().with_row_id().to_arrow() + row_id = hits["_rowid"][0].as_py() + + ranges = await table.fetch_blob_ranges("image", [(row_id, 1, 3), (row_id, 6, 2)]) + + assert ranges.to_pylist() == [b"bcd", b"gh"] def test_fetch_blobs_nested_path(): diff --git a/python/python/tests/test_db.py b/python/python/tests/test_db.py index 2bc4a0611..86b70b75d 100644 --- a/python/python/tests/test_db.py +++ b/python/python/tests/test_db.py @@ -62,6 +62,21 @@ def test_basic(tmp_path): assert db.open_table("test").name == db["test"].name +def test_sync_repr_does_not_use_background_loop(tmp_path, monkeypatch): + from lancedb.background_loop import LOOP + + db = lancedb.connect(tmp_path) + table = db.create_table("test", data=[{"id": 1}]) + + def fail_run(*args, **kwargs): + raise AssertionError("repr should not use the Python background loop") + + monkeypatch.setattr(LOOP, "run", fail_run) + + assert repr(db) == f"LanceDBConnection(uri={str(tmp_path)!r})" + assert repr(table) == f"LanceTable(name='test', _conn={db!r})" + + def test_ingest_pd(tmp_path): db = lancedb.connect(tmp_path) diff --git a/python/python/tests/test_elastic_dataloader.py b/python/python/tests/test_elastic_dataloader.py index 6a98bed0c..22918082b 100644 --- a/python/python/tests/test_elastic_dataloader.py +++ b/python/python/tests/test_elastic_dataloader.py @@ -1333,6 +1333,42 @@ def test_transform_none_yields_dicts(lance_table): assert all("id" in item for item in items) +@pytest.mark.parametrize( + ("configured", "detected", "expected"), + [(2, 8, 2), (None, 3, 3), (None, None, 1)], +) +def test_transform_parallelism_configures_executor( + lance_table, monkeypatch, configured, detected, expected +): + """Explicit transform parallelism overrides the detected CPU count.""" + real_executor = streaming.ThreadPoolExecutor + monkeypatch.setattr(streaming.os, "cpu_count", lambda: detected) + + with patch.object(streaming, "ThreadPoolExecutor", wraps=real_executor) as executor: + list( + StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + shuffle_seed=SHUFFLE_SEED, + transform_parallelism=configured, + ) + ) + + assert executor.call_args_list[-1].kwargs["max_workers"] == expected + + +@pytest.mark.parametrize("transform_parallelism", [0, -1]) +def test_transform_parallelism_must_be_positive(lance_table, transform_parallelism): + with pytest.raises( + ValueError, match="transform_parallelism must be greater than 0" + ): + StreamingDataset( + lance_table, + num_splits=NUM_SPLITS, + transform_parallelism=transform_parallelism, + ) + + def test_filter_limits_rows(tmp_path): """A filter expression is applied to the permutation so only matching rows are yielded. IDs 0..59 pass ``id < 60``; the other 60 are excluded.""" diff --git a/python/python/tests/test_fts.py b/python/python/tests/test_fts.py index 127510bc2..f791f9886 100644 --- a/python/python/tests/test_fts.py +++ b/python/python/tests/test_fts.py @@ -219,11 +219,13 @@ def test_create_inverted_index(table, with_position): table.create_fts_index( "text", with_position=with_position, + custom_stop_words=["puppy"], name="custom_fts_index", ) indices = table.list_indices() fts_indices = [i for i in indices if i.index_type == "FTS"] assert any(i.name == "custom_fts_index" for i in fts_indices) + assert fts_indices[0].index_details["custom_stop_words"] == ["puppy"] @pytest.mark.parametrize("block_size", [128, 256]) @@ -243,6 +245,24 @@ def test_create_inverted_index_rejects_invalid_block_size(table): table.create_index("text", config=FTS(block_size=129)) +def test_custom_stop_words_list(table): + table.create_index( + "text", + config=FTS(stem=False, custom_stop_words=["lance"]), + ) + + assert table.list_indices()[0].index_details["custom_stop_words"] == ["lance"] + tokens = table.tokenize("the lance data", column="text") + assert [token.text for token in tokens] == ["the", "data"] + empty_tokens = ldb.tokenize("the lance data", stem=False, custom_stop_words=[]) + assert [token.text for token in empty_tokens] == ["the", "lance", "data"] + with pytest.raises(TypeError, match=r"custom_stop_words.*int"): + ldb.tokenize( + "the lance data", + custom_stop_words=["lance", 42], + ) + + def test_search_fts(table): table.create_fts_index("text") results = table.search("puppy").select(["id", "text"]).limit(5).to_list() diff --git a/python/python/tests/test_index.py b/python/python/tests/test_index.py index 65a244c5b..1cf2c733c 100644 --- a/python/python/tests/test_index.py +++ b/python/python/tests/test_index.py @@ -84,6 +84,15 @@ async def binary_table(db_async): ) +@pytest.mark.asyncio +async def test_create_index_async_returns_done_job(some_table: AsyncTable): + job = await some_table.create_index_async("id", config=BTree()) + assert job.id is None + await job.wait() + assert len(await some_table.list_indices()) == 1 + await job.cancel() + + @pytest.mark.asyncio async def test_create_scalar_index(some_table: AsyncTable): # Can create diff --git a/python/python/tests/test_namespace_integration.py b/python/python/tests/test_namespace_integration.py index 84455c979..e05885224 100644 --- a/python/python/tests/test_namespace_integration.py +++ b/python/python/tests/test_namespace_integration.py @@ -18,6 +18,7 @@ Tests verify: """ import copy +import os import shutil import sys import tempfile @@ -239,7 +240,7 @@ def create_tracking_namespace( dir_props = {f"storage.{k}": v for k, v in storage_options_with_refresh.items()} - if bucket_name.startswith("/") or bucket_name.startswith("file://"): + if os.path.isabs(bucket_name) or bucket_name.startswith("file://"): dir_props["root"] = f"{bucket_name}/namespace_root" else: dir_props["root"] = f"s3://{bucket_name}/namespace_root" @@ -767,3 +768,70 @@ def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool): # Verify data was added assert table.count_rows() == 2 + + +@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"]) +def test_namespace_exists(use_custom: bool): + """ + Test namespace_exists returns True for existing and False for non-existent. + """ + temp_dir = tempfile.mkdtemp() + try: + ns_client, _ = create_tracking_namespace( + bucket_name=temp_dir, + storage_options={}, + credential_expires_in_seconds=3600, + use_custom=use_custom, + ) + db = LanceNamespaceDBConnection(ns_client) + + namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}" + db.create_namespace([namespace_name]) + + # Existing namespace should return True + assert db.namespace_exists(namespace_id=[namespace_name]) is True + + # Non-existent namespace should return False + assert db.namespace_exists(namespace_id=["nonexistent_ns"]) is False + finally: + shutil.rmtree(temp_dir, ignore_errors=True) + + +@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"]) +def test_table_exists(use_custom: bool): + """ + Test table_exists returns True for existing table and False for non-existent. + """ + temp_dir = tempfile.mkdtemp() + try: + ns_client, _ = create_tracking_namespace( + bucket_name=temp_dir, + storage_options={}, + credential_expires_in_seconds=3600, + use_custom=use_custom, + ) + db = LanceNamespaceDBConnection(ns_client) + + namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}" + db.create_namespace([namespace_name]) + + table_name = f"test_table_{uuid.uuid4().hex}" + namespace_path = [namespace_name] + schema = pa.schema( + [ + pa.field("id", pa.int64()), + pa.field("vector", pa.list_(pa.float32(), 2)), + pa.field("text", pa.string()), + ] + ) + + db.create_table(table_name, schema=schema, namespace_path=namespace_path) + + # Existing table should return True + table_id = namespace_path + [table_name] + assert db.table_exists(table_id=table_id) is True + + # Non-existent table should return False + assert db.table_exists(table_id=namespace_path + ["nonexistent_table"]) is False + finally: + shutil.rmtree(temp_dir, ignore_errors=True) diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 648a52b7a..757d8a758 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -771,6 +771,7 @@ def test_table_create_indices(): "text", wait_timeout=timedelta(seconds=2), block_size=256, + custom_stop_words=["cloud"], name="custom_fts_idx", ) @@ -795,6 +796,7 @@ def test_table_create_indices(): assert "name" in fts_req assert fts_req["name"] == "custom_fts_idx" assert fts_req["block_size"] == 256 + assert fts_req["custom_stop_words"] == ["cloud"] # Check vector index request has custom name vector_req = received_requests[2] @@ -810,6 +812,121 @@ def test_table_create_indices(): table.drop_index("custom_fts_idx") +def test_remote_create_index_async_returns_job(): + from lancedb.index import BTree + + describe_calls = [] + + def handler(request): + content_len = int(request.headers.get("Content-Length", 0)) + body = request.rfile.read(content_len) if content_len > 0 else b"" + if request.path == "/v1/table/test/create_index/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"job_id": "job-1"}') + elif request.path == "/v1/jobs/describe": + assert json.loads(body)["job_id"] == "job-1" + describe_calls.append(1) + state = "IN_PROGRESS" if len(describe_calls) == 1 else "DONE" + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps(dict(job_id="job-1", job_state=state)).encode() + ) + elif request.path == "/v1/jobs/cancel": + assert json.loads(body)["job_id"] == "job-1" + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b"{}") + elif request.path == "/v1/table/test/create/?mode=create": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b"{}") + elif request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps( + dict( + version=1, + schema=dict( + fields=[ + dict(name="id", type={"type": "int64"}, nullable=False), + ] + ), + ) + ).encode() + ) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + table = db.create_table("test", [{"id": 1}]) + job = table.create_index_async("id", config=BTree()) + assert job.id == "job-1" + job.wait(timeout=timedelta(seconds=30)) + assert len(describe_calls) == 2 + job.cancel() + + +def test_remote_job_wait_raises_on_failure(): + from lancedb.exceptions import JobFailedError + from lancedb.index import BTree + + def handler(request): + content_len = int(request.headers.get("Content-Length", 0)) + body = request.rfile.read(content_len) if content_len > 0 else b"" + if request.path == "/v1/table/test/create_index/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"job_id": "job-2"}') + elif request.path == "/v1/jobs/describe": + assert json.loads(body)["job_id"] == "job-2" + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps(dict(job_id="job-2", job_state="FAILED")).encode() + ) + elif request.path == "/v1/table/test/create/?mode=create": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b"{}") + elif request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps( + dict( + version=1, + schema=dict( + fields=[ + dict(name="id", type={"type": "int64"}, nullable=False), + ] + ), + ) + ).encode() + ) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + table = db.create_table("test", [{"id": 1}]) + job = table.create_index_async("id", config=BTree()) + with pytest.raises(JobFailedError, match="job-2"): + job.wait() + + def test_remote_create_index_new_api(): received_requests = [] @@ -1018,7 +1135,7 @@ def query_test_table(query_handler, *, server_version=Version("0.1.0")): request.send_header("Content-Type", "application/json") request.send_header("phalanx-version", str(server_version)) request.end_headers() - request.wfile.write(b"{}") + request.wfile.write(b'{"version": 1, "schema": {"fields": []}}') elif request.path == "/v1/table/test/query/": content_len = int(request.headers.get("Content-Length")) body = request.rfile.read(content_len) @@ -1856,3 +1973,299 @@ def test_inherited_remote_table_reopens_after_fork(): finally: server.shutdown() server_thread.join() + + +BLOB_DESCRIBE_RESPONSE = { + "table": "test", + "version": 1, + "schema": { + "fields": [ + {"name": "id", "type": {"type": "int64"}, "nullable": False}, + { + "name": "image", + "type": { + "type": "struct", + "fields": [ + { + "name": "data", + "type": {"type": "large_binary"}, + "nullable": True, + }, + {"name": "uri", "type": {"type": "string"}, "nullable": True}, + ], + }, + "nullable": True, + "metadata": { + "ARROW:extension:name": "lance.blob.v2", + "ARROW:extension:metadata": "", + }, + }, + ] + }, +} + + +def blob_query_response_table(): + image_field = pa.field( + "image", + pa.struct( + [ + pa.field("kind", pa.uint8(), nullable=False), + pa.field("position", pa.uint64(), nullable=False), + pa.field("size", pa.uint64(), nullable=False), + pa.field("blob_id", pa.uint32(), nullable=False), + pa.field("blob_uri", pa.string(), nullable=False), + ] + ), + metadata={"lance-encoding:blob": "true"}, + ) + images = pa.StructArray.from_arrays( + [ + pa.array([1, 0, 0], type=pa.uint8()), + pa.array([0, 0, 0], type=pa.uint64()), + pa.array([5, 0, 5], type=pa.uint64()), + pa.array([1, 0, 2], type=pa.uint32()), + pa.array(["", "", ""], type=pa.string()), + ], + fields=image_field.type, + mask=pa.array([False, True, False]), + ) + return pa.Table.from_arrays( + [ + pa.array([1, 2, 3], type=pa.int64()), + images, + pa.array([10, 20, 30], type=pa.uint64()), + ], + schema=pa.schema( + [ + pa.field("id", pa.int64(), nullable=False), + image_field, + pa.field("_rowid", pa.uint64()), + ] + ), + ) + + +@contextlib.contextmanager +def blob_remote_table(*, server_version=Version("0.5.0")): + def handler(request): + if request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.send_header("phalanx-version", str(server_version)) + request.end_headers() + request.wfile.write(json.dumps(BLOB_DESCRIBE_RESPONSE).encode()) + elif request.path == "/v1/table/test/query/": + content_len = int(request.headers.get("Content-Length", 0)) + body = json.loads(request.rfile.read(content_len)) + assert body["columns"] == ["id", "image"] + assert body["with_row_id"] is True + response_table = blob_query_response_table() + request.send_response(200) + request.send_header("Content-Type", "application/vnd.apache.arrow.file") + request.end_headers() + with pa.ipc.new_file(request.wfile, response_table.schema) as writer: + writer.write_table(response_table) + elif request.path == "/v1/table/test/fetch_blobs/": + content_len = int(request.headers.get("Content-Length", 0)) + body = json.loads(request.rfile.read(content_len)) + assert body["column"] == "image" + assert body["row_ids"] == [10, 20, 30] + response_table = pa.table( + {"image": pa.array([b"alpha", None, b"gamma"], type=pa.large_binary())} + ) + request.send_response(200) + request.send_header("Content-Type", "application/vnd.apache.arrow.stream") + request.end_headers() + with pa.ipc.new_stream(request.wfile, response_table.schema) as writer: + writer.write_table(response_table) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + yield db.open_table("test") + + +def test_remote_blob_columns_and_fetch(): + with blob_remote_table() as table: + assert table.blob_columns() == ["image"] + blobs = table.fetch_blobs("image", [10, 20, 30]) + assert blobs.to_pylist() == [b"alpha", None, b"gamma"] + with pytest.raises(NotImplementedError, match="Use fetch_blobs for full bytes"): + table.fetch_blob_files("image", [10, 20, 30]) + + +def test_remote_blob_fetch_accepts_query_table(): + hits = pa.table({"_rowid": pa.array([10, 20, 30], type=pa.uint64())}) + + with blob_remote_table() as table: + blobs = table.fetch_blobs("image", hits) + + assert blobs.to_pylist() == [b"alpha", None, b"gamma"] + + +def test_remote_blob_query_stashes_row_ids_for_fetch(): + with blob_remote_table() as table: + hits = table.search().select(["id", "image"]).limit(3).to_arrow() + assert "_rowid" not in hits.column_names + assert "_lance_row_id" in hits.schema.field("image").type.names + blobs = table.fetch_blobs("image", hits) + + assert blobs.to_pylist() == [b"alpha", None, b"gamma"] + + +def test_remote_blob_query_survives_a_server_that_ignores_the_row_id_request(): + def handler(request): + if request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.send_header("phalanx-version", "0.5.0") + request.end_headers() + request.wfile.write(json.dumps(BLOB_DESCRIBE_RESPONSE).encode()) + elif request.path == "/v1/table/test/query/": + content_len = int(request.headers.get("Content-Length", 0)) + assert json.loads(request.rfile.read(content_len))["with_row_id"] is True + response_table = blob_query_response_table().drop_columns(["_rowid"]) + request.send_response(200) + request.send_header("Content-Type", "application/vnd.apache.arrow.file") + request.end_headers() + with pa.ipc.new_file(request.wfile, response_table.schema) as writer: + writer.write_table(response_table) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + table = db.open_table("test") + hits = table.search().select(["id", "image"]).limit(3).to_arrow() + + assert hits.column_names == ["id", "image"] + assert "_lance_row_id" not in hits.schema.field("image").type.names + with pytest.raises(ValueError, match="pass a list of row ids"): + table.fetch_blobs("image", hits) + + +def test_remote_blob_byte_apis_not_supported_on_old_server(): + with blob_remote_table(server_version=Version("0.1.0")) as table: + assert table.blob_columns() == ["image"] + with pytest.raises(NotImplementedError, match="not supported"): + table.fetch_blobs("image", [1]) + with pytest.raises(NotImplementedError, match="not supported"): + table.fetch_blob_files("image", [1]) + + +def test_remote_connection_jobs_surface(): + from lancedb.exceptions import JobFailedError + + schema = pa.schema([("state", pa.string())]) + batch = pa.record_batch([pa.array(["created", "done"])], schema=schema) + sink = pa.BufferOutputStream() + with pa.ipc.new_stream(sink, schema) as writer: + writer.write_batch(batch) + events_body = sink.getvalue().to_pybytes() + + def handler(request): + content_len = int(request.headers.get("Content-Length", 0)) + body = request.rfile.read(content_len) if content_len > 0 else b"" + payload = json.loads(body) if body else {} + if request.path == "/v1/jobs/list": + if payload.get("page_token") is None: + rsp = dict( + jobs=[ + dict( + job_id="job-1", + table="t1", + job_type="create_index", + state="in_progress", + created_at_millis=1000, + ) + ], + page_token="next", + ) + else: + assert payload["page_token"] == "next" + rsp = dict( + jobs=[ + dict( + job_id="job-2", + table="t2", + job_type="create_index", + state="succeeded", + created_at_millis=2000, + ) + ] + ) + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(json.dumps(rsp).encode()) + elif request.path == "/v1/jobs/describe": + if payload["job_id"] != "job-1": + request.send_response(404) + request.end_headers() + return + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write( + json.dumps( + dict( + job_id="job-1", + job_type="create_index", + job_state="FAILED", + creation_ms=1000, + spec=dict(column="vec"), + failure=dict( + phase="execute", message="worker died", retryable=True + ), + ) + ).encode() + ) + elif request.path == "/v1/jobs/cancel": + if payload["job_id"] != "job-1": + request.send_response(404) + request.end_headers() + return + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"job_id": "job-1"}') + elif request.path == "/v1/jobs/query_events": + assert payload["job_id"] == "job-1" + request.send_response(200) + request.send_header("Content-Type", "application/vnd.apache.arrow.stream") + request.end_headers() + request.wfile.write(events_body) + else: + request.send_response(404) + request.end_headers() + + with mock_lancedb_connection(handler) as db: + jobs = db.list_jobs() + assert [job.job_id for job in jobs] == ["job-1", "job-2"] + assert jobs[0].state == "running" + assert jobs[0].table == "t1" + assert jobs[1].state == "finished" + + description = db.get_job("job-1") + assert description.job_type == "create_index" + assert description.state == "failed" + assert json.loads(description.spec_json) == {"column": "vec"} + assert description.failure.message == "worker died" + assert description.failure.retryable is True + assert db.get_job("missing") is None + + assert db.cancel_job("job-1") is True + assert db.cancel_job("missing") is False + + batches = db.job_history("job-1") + assert len(batches) == 1 + assert batches[0].num_rows == 2 + assert batches[0].column("state").to_pylist() == ["created", "done"] + + job = db.job("job-1") + assert job.id == "job-1" + assert job.status() == "failed" + with pytest.raises(JobFailedError, match="worker died"): + job.wait(timeout=timedelta(seconds=5)) diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index 456b900ee..a355cf101 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -1257,6 +1257,53 @@ def test_branch_to_lance_targets_branch(tmp_path): assert table.to_lance().count_rows() == 1 +@pytest.mark.asyncio +async def test_async_to_lance(tmp_path): + pytest.importorskip("lance") + db = await lancedb.connect_async(tmp_path) + table = await db.create_table("t", [{"i": 1}]) + + dataset = await table.to_lance() + + assert dataset.count_rows() == 1 + + +@pytest.mark.asyncio +async def test_async_branch_to_lance_targets_branch(tmp_path): + pytest.importorskip("lance") + db = await lancedb.connect_async(tmp_path) + table = await db.create_table("t", [{"i": 1}]) + branch = await table.branches.create("exp") + await branch.add([{"i": 2}]) + + assert (await branch.to_lance()).count_rows() == 2 + assert (await table.to_lance()).count_rows() == 1 + + +@pytest.mark.asyncio +async def test_async_to_lance_targets_checked_out_version(tmp_path): + pytest.importorskip("lance") + db = await lancedb.connect_async(tmp_path) + table = await db.create_table("t", [{"i": 1}]) + version = await table.version() + await table.add([{"i": 2}]) + checked_out = await db.open_table("t", version=version) + + assert (await checked_out.to_lance()).count_rows() == 1 + assert (await table.to_lance()).count_rows() == 2 + + +@pytest.mark.asyncio +async def test_async_to_lance_forwards_dataset_options(tmp_path): + pytest.importorskip("lance") + db = await lancedb.connect_async(tmp_path) + table = await db.create_table("t", [{"i": 1}]) + + dataset = await table.to_lance(default_scan_options={"with_row_id": True}) + + assert "_rowid" in dataset.schema.names + + @pytest.mark.asyncio async def test_async_branches(tmp_path): db = await lancedb.connect_async(tmp_path) @@ -1355,6 +1402,15 @@ async def test_async_open_table_with_branch_version(tmp_path): assert await pinned.count_rows() == 4 # writable again +def test_create_index_async_returns_done_job(mem_db: DBConnection): + table = mem_db.create_table("job_test", [{"id": i} for i in range(10)]) + job = table.create_index_async("id", config=BTree()) + assert job.id is None + job.wait() + assert len(table.list_indices()) == 1 + job.cancel() + + @patch("lancedb.table.AsyncTable.create_index") def test_create_index_method(mock_create_index, mem_db: DBConnection): table = mem_db.create_table( @@ -3040,9 +3096,6 @@ def test_consistency(tmp_path, consistency_interval): db2 = lancedb.connect(tmp_path, read_consistency_interval=consistency_interval) table2 = db2.open_table("my_table") - if consistency_interval is not None: - assert "read_consistency_interval=datetime.timedelta(" in repr(db2) - assert "read_consistency_interval=datetime.timedelta(" in repr(table2) assert table2.version == table.version table.add([{"id": 1}]) diff --git a/python/src/connection.rs b/python/src/connection.rs index e22813640..b97d48ad8 100644 --- a/python/src/connection.rs +++ b/python/src/connection.rs @@ -13,7 +13,11 @@ use crate::{ runtime::future_into_py, table::Table, }; -use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow}; +use arrow::{ + datatypes::Schema, + ffi_stream::ArrowArrayStreamReader, + pyarrow::{FromPyArrow, ToPyArrow}, +}; use lancedb::{ connection::Connection as LanceConnection, connection::NamespaceClientPushdownOperation, @@ -24,7 +28,7 @@ use pyo3::{ Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python, exceptions::{PyRuntimeError, PyValueError}, pyclass, pyfunction, pymethods, - types::{PyDict, PyDictMethods}, + types::{PyDict, PyDictMethods, PyList, PyListMethods}, }; #[pyclass] @@ -536,6 +540,55 @@ impl Connection { }) }) } + + pub fn job(&self, job_id: String) -> PyResult { + let inner = self.get_inner()?.clone(); + Ok(crate::job::Job::new(inner.job(job_id).infer_error()?)) + } + + pub fn list_jobs(self_: PyRef<'_, Self>) -> PyResult> { + let inner = self_.get_inner()?.clone(); + future_into_py(self_.py(), async move { + let jobs = inner.list_jobs().await.infer_error()?; + Ok(jobs + .into_iter() + .map(crate::job::JobInfo::from) + .collect::>()) + }) + } + + pub fn get_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult> { + let inner = self_.get_inner()?.clone(); + future_into_py(self_.py(), async move { + let description = inner.get_job(&job_id).await.infer_error()?; + Ok(description.map(crate::job::JobDescription::from)) + }) + } + + pub fn cancel_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult> { + let inner = self_.get_inner()?.clone(); + future_into_py(self_.py(), async move { + inner.cancel_job(&job_id).await.infer_error() + }) + } + + #[pyo3(signature = (job_id=None))] + pub fn job_history( + self_: PyRef<'_, Self>, + job_id: Option, + ) -> PyResult> { + let inner = self_.get_inner()?.clone(); + future_into_py(self_.py(), async move { + let batches = inner.job_history(job_id.as_deref()).await.infer_error()?; + Python::attach(|py| { + let list = PyList::empty(py); + for batch in batches { + list.append(batch.to_pyarrow(py)?)?; + } + Ok(list.unbind()) + }) + }) + } } #[pyfunction] diff --git a/python/src/error.rs b/python/src/error.rs index 062a1dc96..b66afe47b 100644 --- a/python/src/error.rs +++ b/python/src/error.rs @@ -102,6 +102,18 @@ impl PythonErrorExt for std::result::Result { err.setattr(intern!(py, "__cause__"), cause_err)?; Err(PyErr::from_value(err)) }), + LanceError::JobFailed { .. } => Python::attach(|py| { + let cls = py + .import(intern!(py, "lancedb.exceptions"))? + .getattr(intern!(py, "JobFailedError"))?; + Err(PyErr::from_value(cls.call1((err.to_string(),))?)) + }), + LanceError::JobCancelled { .. } => Python::attach(|py| { + let cls = py + .import(intern!(py, "lancedb.exceptions"))? + .getattr(intern!(py, "JobCancelledError"))?; + Err(PyErr::from_value(cls.call1((err.to_string(),))?)) + }), _ => self.runtime_error(), }, } diff --git a/python/src/index.rs b/python/src/index.rs index a98b90cf9..8c81dcecf 100644 --- a/python/src/index.rs +++ b/python/src/index.rs @@ -59,7 +59,8 @@ pub fn extract_index_params(source: &Option>) -> PyResult>, ascii_folding: bool, ngram_min_length: u32, ngram_max_length: u32, diff --git a/python/src/job.rs b/python/src/job.rs new file mode 100644 index 000000000..56ee211f4 --- /dev/null +++ b/python/src/job.rs @@ -0,0 +1,145 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +use std::sync::Arc; + +use crate::runtime::future_into_py; +use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods}; + +use crate::error::PythonErrorExt; + +#[pyclass] +pub struct Job { + inner: Arc, +} + +impl Job { + pub(crate) fn new(inner: lancedb::Job) -> Self { + Self { + inner: Arc::new(inner), + } + } +} + +#[pymethods] +impl Job { + #[getter] + pub fn id(&self) -> Option { + self.inner.id().map(str::to_string) + } + + pub fn status(self_: PyRef<'_, Self>) -> PyResult> { + let inner = self_.inner.clone(); + future_into_py( + self_.py(), + async move { inner.status().await.infer_error() }, + ) + } + + pub fn wait(self_: PyRef<'_, Self>) -> PyResult> { + let inner = self_.inner.clone(); + future_into_py(self_.py(), async move { + inner.wait().await.infer_error()?; + Ok(()) + }) + } + + pub fn cancel(self_: PyRef<'_, Self>) -> PyResult> { + let inner = self_.inner.clone(); + future_into_py(self_.py(), async move { + inner.cancel().await.infer_error()?; + Ok(()) + }) + } +} + +/// A row from `Connection.list_jobs`: one server-side job. +#[pyclass(get_all, skip_from_py_object)] +#[derive(Clone)] +pub struct JobInfo { + job_id: String, + table: String, + job_type: String, + state: String, + created_at_millis: i64, +} + +#[pymethods] +impl JobInfo { + fn __repr__(&self) -> String { + format!( + "JobInfo(job_id={:?}, table={:?}, job_type={:?}, state={:?}, created_at_millis={})", + self.job_id, self.table, self.job_type, self.state, self.created_at_millis + ) + } +} + +impl From for JobInfo { + fn from(info: lancedb::database::JobInfo) -> Self { + Self { + job_id: info.job_id, + table: info.table, + job_type: info.job_type, + state: info.state, + created_at_millis: info.created_at_millis, + } + } +} + +/// The server's account of why a job failed. +#[pyclass(get_all, skip_from_py_object)] +#[derive(Clone)] +pub struct JobFailureInfo { + phase: Option, + message: Option, + retryable: Option, +} + +#[pymethods] +impl JobFailureInfo { + fn __repr__(&self) -> String { + format!( + "JobFailureInfo(phase={:?}, message={:?}, retryable={:?})", + self.phase, self.message, self.retryable + ) + } +} + +/// A described job from `Connection.get_job`. +#[pyclass(get_all, skip_from_py_object)] +#[derive(Clone)] +pub struct JobDescription { + job_id: String, + job_type: String, + state: String, + creation_ms: i64, + spec_json: Option, + failure: Option, +} + +#[pymethods] +impl JobDescription { + fn __repr__(&self) -> String { + format!( + "JobDescription(job_id={:?}, job_type={:?}, state={:?}, creation_ms={})", + self.job_id, self.job_type, self.state, self.creation_ms + ) + } +} + +impl From for JobDescription { + fn from(description: lancedb::database::JobDescription) -> Self { + Self { + job_id: description.job_id, + job_type: description.job_type, + state: description.state, + creation_ms: description.creation_ms, + spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()), + failure: description.failure.map(|failure| JobFailureInfo { + phase: failure.phase, + message: failure.message, + retryable: failure.retryable, + }), + } + } +} diff --git a/python/src/lib.rs b/python/src/lib.rs index d480f9613..6b0c0cf97 100644 --- a/python/src/lib.rs +++ b/python/src/lib.rs @@ -25,6 +25,7 @@ pub mod error; pub mod expr; pub mod header; pub mod index; +pub mod job; pub mod namespace; pub mod oauth; pub mod otel; @@ -44,6 +45,10 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> { m.add_class::()?; m.add_class::()?; m.add_class::()?; + m.add_class::()?; + m.add_class::()?; + m.add_class::()?; + m.add_class::()?; m.add_class::()?; m.add_class::()?; m.add_class::()?; diff --git a/python/src/table.rs b/python/src/table.rs index b62aa7377..a4e50c183 100644 --- a/python/src/table.rs +++ b/python/src/table.rs @@ -17,7 +17,7 @@ use arrow::{ ffi_stream::ArrowArrayStreamReader, pyarrow::{FromPyArrow, PyArrowType, ToPyArrow}, }; -use lancedb::blob::BlobFile; +use lancedb::blob::{BlobFile, BlobRangeRequest}; use lancedb::index::scalar::FtsIndexBuilder; use lancedb::table::{ AddDataMode, ColumnAlteration, Duration, FieldMetadataUpdate, FtsToken as LanceDbFtsToken, @@ -520,6 +520,7 @@ impl From for FtsToken { lower_case = true, stem = true, remove_stop_words = true, + custom_stop_words = None, ascii_folding = true, ngram_min_length = 3, ngram_max_length = 3, @@ -534,6 +535,7 @@ pub fn tokenize( lower_case: bool, stem: bool, remove_stop_words: bool, + custom_stop_words: Option>, ascii_folding: bool, ngram_min_length: u32, ngram_max_length: u32, @@ -555,7 +557,8 @@ pub fn tokenize( .ascii_folding(ascii_folding) .ngram_min_length(ngram_min_length) .ngram_max_length(ngram_max_length) - .ngram_prefix_only(prefix_only); + .ngram_prefix_only(prefix_only) + .custom_stop_words(custom_stop_words); let tokens = lancedb_tokenize(&query, ¶ms).infer_error()?; Ok(tokens.into_iter().map(FtsToken::from).collect()) } @@ -802,6 +805,37 @@ impl Table { }) } + #[pyo3(signature = (column, index=None, replace=None, wait_timeout=None, *, name=None, train=None))] + pub fn create_index_async<'a>( + self_: PyRef<'a, Self>, + column: String, + index: Option>, + replace: Option, + wait_timeout: Option>, + name: Option, + train: Option, + ) -> PyResult> { + let index = extract_index_params(&index)?; + let timeout = wait_timeout.map(|t| t.extract::().unwrap()); + let mut op = self_ + .inner_ref()? + .create_index_with_timeout(&[column], index, timeout); + if let Some(replace) = replace { + op = op.replace(replace); + } + if let Some(name) = name { + op = op.name(name); + } + if let Some(train) = train { + op = op.train(train); + } + + future_into_py(self_.py(), async move { + let job = op.execute_async().await.infer_error()?; + Ok(crate::job::Job::new(job)) + }) + } + pub fn drop_index(self_: PyRef<'_, Self>, index_name: String) -> PyResult> { let inner = self_.inner_ref()?.clone(); future_into_py(self_.py(), async move { @@ -1101,6 +1135,27 @@ impl Table { }) } + /// Read row-specific blob-local byte ranges in one planned operation. + #[pyo3(signature = (column, requests))] + pub fn fetch_blob_ranges( + self_: PyRef<'_, Self>, + column: String, + requests: Vec<(u64, u64, u64)>, + ) -> PyResult> { + let inner = self_.inner_ref()?.clone(); + future_into_py(self_.py(), async move { + let requests = requests + .into_iter() + .map(|(row_id, offset, length)| BlobRangeRequest::new(row_id, offset, length)) + .collect::>(); + let blobs: LargeBinaryArray = inner + .fetch_blob_ranges(column, requests) + .await + .infer_error()?; + Python::attach(|py| blobs.to_data().to_pyarrow(py).map(|obj| obj.unbind())) + }) + } + /// Open lazy blob handles for `row_ids` from blob v2 column `column`. #[pyo3(signature = (column, row_ids))] pub fn fetch_blob_files( diff --git a/python/uv.lock b/python/uv.lock index fc1260854..551dc3f68 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -12,21 +12,22 @@ 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{ async fn create_index(table: &Table) -> Result<()> { table - .create_index(&["doc"], Index::FTS(FtsIndexBuilder::default())) + .create_index( + &["doc"], + Index::FTS( + FtsIndexBuilder::default().custom_stop_words(Some(vec!["example".to_owned()])), + ), + ) .execute() .await?; Ok(()) diff --git a/rust/lancedb/src/blob.rs b/rust/lancedb/src/blob.rs index de666aa10..a21fe3c1b 100644 --- a/rust/lancedb/src/blob.rs +++ b/rust/lancedb/src/blob.rs @@ -11,18 +11,42 @@ use std::sync::Arc; +use arrow_array::LargeBinaryArray; use arrow_array::builder::LargeBinaryBuilder; -use arrow_array::{Array, LargeBinaryArray, RecordBatch, StructArray, UInt8Array, UInt64Array}; use arrow_schema::{DataType, Field, Schema}; -use lance::dataset::{Dataset, WriteParams}; +use lance::dataset::{BlobRangeRequest as LanceBlobRangeRequest, Dataset, WriteParams}; use lance_arrow::FieldExt; -use lance_core::datatypes::parse_field_path; use lance_encoding::version::LanceFileVersion; use crate::error::{Error, Result}; pub use lance::dataset::BlobFile; +/// One row-specific blob range read request. +/// +/// `row_id` is obtained from a query with row ids enabled. +/// `offset` and `length` are relative to the beginning of the logical blob. +#[derive(Debug, Clone, Copy, PartialEq, Eq)] +pub struct BlobRangeRequest { + /// Row id of the blob value to read. + pub row_id: u64, + /// Byte offset from the beginning of the blob value. + pub offset: u64, + /// Number of bytes to read. + pub length: u64, +} + +impl BlobRangeRequest { + /// Create a row-specific blob range request. + pub const fn new(row_id: u64, offset: u64, length: u64) -> Self { + Self { + row_id, + offset, + length, + } + } +} + /// Creates an Arrow field for a Lance blob v2 column. /// /// `Struct` with the `lance.blob.v2` marker. Same layout Lance @@ -145,91 +169,57 @@ pub(crate) fn ensure_blob_v2_column( } } -/// Returns the leaf descriptor `StructArray` for `column` in a descriptor batch. -fn leaf_descriptor_struct<'a>(batch: &'a RecordBatch, column: &str) -> Result<&'a StructArray> { - let path = parse_field_path(column).map_err(|e| Error::InvalidInput { - message: format!("invalid blob column path '{column}': {e}"), - })?; - let not_struct = || Error::Runtime { - message: format!("blob column '{column}' did not read back as a descriptor struct"), - }; - let mut current = batch - .column_by_name(&path[0]) - .and_then(|c| c.as_any().downcast_ref::()) - .ok_or_else(not_struct)?; - for segment in &path[1..] { - current = current - .column_by_name(segment) - .and_then(|c| c.as_any().downcast_ref::()) - .ok_or_else(not_struct)?; +fn ensure_all_row_ids_resolved(column: &str, requested: usize, resolved: usize) -> Result<()> { + if requested == resolved { + return Ok(()); + } + if resolved < requested { + Err(Error::InvalidInput { + message: format!( + "blob read for column '{column}' requested {requested} row ids but only {resolved} \ + exist in the table; pass row ids collected from this table" + ), + }) + } else { + Err(Error::Runtime { + message: format!( + "blob read for column '{column}' returned {resolved} results for {requested} row ids" + ), + }) } - Ok(current) } -/// Null rows in `row_ids`, from a descriptor take. -/// -/// Lance `read_blobs` / `take_blobs` skip null rows (`kind == 0 && position == 0 && size == 0`). -/// TODO(lance): aligned read API would drop this pass. -async fn blob_null_mask( +/// Materialize blob-local ranges (same length and order as `requests`, nulls preserved). +pub(crate) async fn take_blob_ranges_aligned( dataset: &Arc, column: &str, - row_ids: &[u64], -) -> Result> { - let projection = dataset.schema().project(&[column])?; - let descriptors = dataset.take_builder(row_ids, projection)?.execute().await?; - if descriptors.num_rows() != row_ids.len() { - return Err(Error::InvalidInput { - message: format!( - "blob take for column '{column}' requested {} row ids but only {} exist in the \ - table; pass row ids collected from this table", - row_ids.len(), - descriptors.num_rows() - ), - }); + requests: &[BlobRangeRequest], +) -> Result { + ensure_blob_v2_column(dataset.schema(), column)?; + if requests.is_empty() { + return Ok(LargeBinaryBuilder::new().finish()); } - let descriptor_struct = leaf_descriptor_struct(&descriptors, column)?; - let child = |name: &str| { - descriptor_struct - .column_by_name(name) - .ok_or_else(|| Error::Runtime { - message: format!("blob descriptor for '{column}' is missing the '{name}' field"), - }) - }; - let kinds = child("kind")? - .as_any() - .downcast_ref::() - .ok_or_else(|| Error::Runtime { - message: format!("blob descriptor 'kind' for '{column}' is not a UInt8 array"), - })?; - let positions = child("position")? - .as_any() - .downcast_ref::() - .ok_or_else(|| Error::Runtime { - message: format!("blob descriptor 'position' for '{column}' is not a UInt64 array"), - })?; - let sizes = child("size")? - .as_any() - .downcast_ref::() - .ok_or_else(|| Error::Runtime { - message: format!("blob descriptor 'size' for '{column}' is not a UInt64 array"), - })?; - // Match Lance `collect_blob_entries_v2` skip condition (`BlobKind::Inline` == 0). - Ok((0..descriptor_struct.len()) - .map(|i| { - descriptor_struct.is_null(i) - || kinds.is_null(i) - || (kinds.value(i) == 0 && positions.value(i) == 0 && sizes.value(i) == 0) - }) - .collect()) -} - -fn non_null_row_ids(row_ids: &[u64], null_mask: &[bool]) -> Vec { - row_ids + let lance_requests = requests .iter() - .zip(null_mask) - .filter_map(|(row_id, is_null)| (!is_null).then_some(*row_id)) - .collect() + .map(|request| LanceBlobRangeRequest::new(request.row_id, request.offset, request.length)) + .collect::>(); + let payloads = dataset + .read_blob_ranges(column)? + .with_row_ids(lance_requests) + .preserve_order(true) + .execute() + .await?; + ensure_all_row_ids_resolved(column, requests.len(), payloads.len())?; + + let mut builder = LargeBinaryBuilder::new(); + for payload in payloads { + match payload.data { + Some(data) => builder.append_value(data), + None => builder.append_null(), + } + } + Ok(builder.finish()) } /// Materialize blob bytes for `row_ids` (same length and order, nulls preserved). @@ -243,42 +233,19 @@ pub(crate) async fn take_blobs_aligned( return Ok(LargeBinaryBuilder::new().finish()); } - let null_mask = blob_null_mask(dataset, column, row_ids).await?; - let non_null_row_ids = non_null_row_ids(row_ids, &null_mask); - let non_null_count = non_null_row_ids.len(); - let payloads = if non_null_count == 0 { - Vec::new() - } else { - dataset - .read_blobs(column)? - .with_row_ids(non_null_row_ids) - .preserve_order(true) - .execute() - .await? - }; - - if payloads.len() != non_null_count { - return Err(Error::Runtime { - message: format!( - "blob read for column '{column}' returned {} payloads for {} non-null rows", - payloads.len(), - non_null_count - ), - }); - } + let payloads = dataset + .read_blobs(column)? + .with_row_ids(row_ids.to_vec()) + .preserve_order(true) + .execute() + .await?; + ensure_all_row_ids_resolved(column, row_ids.len(), payloads.len())?; let mut builder = LargeBinaryBuilder::new(); - let mut payload_idx = 0; - for is_null in &null_mask { - if *is_null { - builder.append_null(); - } else { - if let Some(data) = &payloads[payload_idx].data { - builder.append_value(data); - } else { - builder.append_null(); - } - payload_idx += 1; + for payload in payloads { + match payload.data { + Some(data) => builder.append_value(data), + None => builder.append_null(), } } Ok(builder.finish()) @@ -295,34 +262,9 @@ pub(crate) async fn take_blob_files_aligned( return Ok(Vec::new()); } - let null_mask = blob_null_mask(dataset, column, row_ids).await?; - let non_null_row_ids = non_null_row_ids(row_ids, &null_mask); - let handles = if non_null_row_ids.is_empty() { - Vec::new() - } else { - dataset.take_blobs(&non_null_row_ids, column).await? - }; - if handles.len() != non_null_row_ids.len() { - return Err(Error::Runtime { - message: format!( - "blob take for column '{column}' returned {} handles for {} non-null rows", - handles.len(), - non_null_row_ids.len() - ), - }); - } - - let mut handles = handles.into_iter(); - Ok(null_mask - .iter() - .map(|is_null| { - if *is_null { - None - } else { - handles.next().flatten() - } - }) - .collect()) + let handles = dataset.take_blobs(row_ids, column).await?; + ensure_all_row_ids_resolved(column, row_ids.len(), handles.len())?; + Ok(handles) } #[cfg(test)] diff --git a/rust/lancedb/src/connection.rs b/rust/lancedb/src/connection.rs index e0a4c22fa..89e59e12e 100644 --- a/rust/lancedb/src/connection.rs +++ b/rust/lancedb/src/connection.rs @@ -23,8 +23,8 @@ use crate::connection::create_table::CreateTableBuilder; use crate::data::scannable::Scannable; use crate::database::listing::ListingDatabase; use crate::database::{ - CloneTableRequest, Database, DatabaseOptions, OpenTableRequest, ReadConsistency, - TableNamesRequest, + CloneTableRequest, Database, DatabaseOptions, JobDescription, JobInfo, OpenTableRequest, + ReadConsistency, TableNamesRequest, }; use crate::embeddings::{EmbeddingRegistry, MemoryRegistry}; use crate::error::{Error, Result}; @@ -456,6 +456,10 @@ impl Connection { /// /// # Returns /// Created [`TableRef`], or [`Error::TableNotFound`] if the table does not exist. + /// If the table's storage is present but holds no readable dataset (for example a + /// `.lance` directory left behind by an interrupted drop and re-create, which + /// [`Self::table_names`] still lists) this returns [`Error::TableCorrupted`] + /// instead. pub fn open_table(&self, name: impl Into) -> OpenTableBuilder { OpenTableBuilder::new( self.internal.clone(), @@ -513,6 +517,39 @@ impl Connection { self.internal.read_consistency().await } + /// A [`crate::job::Job`] handle for a server-side job by id, suitable for + /// waiting on or cancelling the job. + /// + /// The handle is constructed without a server round trip; an unknown id + /// surfaces when the handle is used. Only server-backed databases support + /// job handles by id. + pub fn job(&self, job_id: impl AsRef) -> Result { + self.internal.job(job_id.as_ref()) + } + + /// List server-side jobs across the database's tables. + pub async fn list_jobs(&self) -> Result> { + self.internal.list_jobs().await + } + + /// Describe a single server-side job by id. `None` when the server has no + /// such job. + pub async fn get_job(&self, job_id: impl AsRef) -> Result> { + self.internal.get_job(job_id.as_ref()).await + } + + /// Request cancellation of a server-side job by id. Returns true if the + /// server accepted the cancellation, false if no such job exists. + pub async fn cancel_job(&self, job_id: impl AsRef) -> Result { + self.internal.cancel_job(job_id.as_ref()).await + } + + /// The lifecycle event history of a server-side job (all jobs when + /// `job_id` is `None`), as recorded Arrow batches. + pub async fn job_history(&self, job_id: Option<&str>) -> Result> { + self.internal.job_history(job_id).await + } + /// Drop a table in the database. /// /// # Arguments diff --git a/rust/lancedb/src/database.rs b/rust/lancedb/src/database.rs index 6ce5bdbc9..f99f6e12a 100644 --- a/rust/lancedb/src/database.rs +++ b/rust/lancedb/src/database.rs @@ -18,6 +18,8 @@ use std::collections::HashMap; use std::sync::Arc; use std::time::Duration; +use arrow_array::RecordBatch; + use lance::dataset::ReadParams; use lance_namespace::LanceNamespace; use lance_namespace::models::{ @@ -200,6 +202,45 @@ pub enum ReadConsistency { Strong, } +/// A row from [`Database::list_jobs`]: one server-side job (index build, +/// compaction, column refresh, ...). +#[derive(Debug, Clone)] +pub struct JobInfo { + /// The job id -- what [`Database::get_job`] and [`Database::cancel_job`] + /// accept. + pub job_id: String, + /// The table the job runs against, without URI or namespace. + pub table: String, + pub job_type: String, + /// Lifecycle state: "running", "finished", "failed", or "cancelled". + pub state: String, + /// When the job was created, in milliseconds since the epoch. + pub created_at_millis: i64, +} + +/// A described job from [`Database::get_job`]: lifecycle state plus the +/// job-type-specific specification. +#[derive(Debug, Clone)] +pub struct JobDescription { + pub job_id: String, + pub job_type: String, + /// Lifecycle state: "running", "finished", "failed", or "cancelled". + pub state: String, + /// When the job was created, in milliseconds since the epoch. + pub creation_ms: i64, + /// The job-type-specific specification. Null when the server omits it. + pub spec: serde_json::Value, + /// Why the job failed, when the job is failed and the server reports a + /// reason. + pub failure: Option, +} + +fn job_op_not_supported(what: &str) -> Result { + Err(crate::error::Error::NotSupported { + message: format!("{} is not supported by this database", what), + }) +} + /// The `Database` trait defines the interface for database implementations. /// /// A database is responsible for managing tables and their metadata. @@ -245,6 +286,31 @@ pub trait Database: /// /// See [`CloneTableRequest`] for detailed documentation and examples. async fn clone_table(&self, request: CloneTableRequest) -> Result>; + /// A [`crate::job::Job`] handle for a server-side job by id, suitable for + /// waiting on or cancelling the job. The handle is constructed without a + /// server round trip; an unknown id surfaces when the handle is used. + fn job(&self, _job_id: &str) -> Result { + job_op_not_supported("job") + } + /// List server-side jobs across the database's tables. + async fn list_jobs(&self) -> Result> { + job_op_not_supported("list_jobs") + } + /// Describe a single job by id. `None` when the server has no such job. + async fn get_job(&self, _job_id: &str) -> Result> { + job_op_not_supported("get_job") + } + /// Request cancellation of a job by id. Returns true if the server + /// accepted the cancellation, false if no such job exists. Cancelling an + /// already-terminal job is a no-op success. + async fn cancel_job(&self, _job_id: &str) -> Result { + job_op_not_supported("cancel_job") + } + /// The lifecycle event history of a job (all jobs when `job_id` is + /// `None`), as recorded Arrow batches. + async fn job_history(&self, _job_id: Option<&str>) -> Result> { + job_op_not_supported("job_history") + } /// Open a table in the database async fn open_table(&self, request: OpenTableRequest) -> Result>; /// Rename a table in the database diff --git a/rust/lancedb/src/error.rs b/rust/lancedb/src/error.rs index 7bfbc6f2e..f6f596f3d 100644 --- a/rust/lancedb/src/error.rs +++ b/rust/lancedb/src/error.rs @@ -1,7 +1,8 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -use std::sync::PoisonError; +use std::fmt::{self, Display, Formatter}; +use std::sync::{Arc, PoisonError}; use arrow_schema::ArrowError; use datafusion_common::DataFusionError; @@ -9,6 +10,46 @@ use snafu::Snafu; pub(crate) type BoxError = Box; +/// Why a job failed, to whatever precision the backend provides. +/// +/// A job run in this process carries the error it failed with in [`Self::source`]. +/// A job run remotely carries whatever the server reported, which older servers +/// do not report at all. Every field is absent rather than invented when the +/// backend does not supply it. +#[derive(Debug, Clone, Default)] +pub struct JobFailure { + /// The stage the job was in, when known. + pub phase: Option, + /// A human-readable reason, when known. + pub message: Option, + /// Whether a retry could clear the failure, when known. + pub retryable: Option, + /// The error the job failed with, when it ran in this process. + pub source: Option>, +} + +impl JobFailure { + /// A failure whose only known detail is the error that caused it. + pub(crate) fn from_source(source: Arc) -> Self { + Self { + message: Some(source.to_string()), + source: Some(source), + ..Default::default() + } + } +} + +impl Display for JobFailure { + fn fmt(&self, f: &mut Formatter<'_>) -> fmt::Result { + match (&self.message, &self.phase) { + (Some(message), Some(phase)) => write!(f, ": {message} (in {phase})"), + (Some(message), None) => write!(f, ": {message}"), + (None, Some(phase)) => write!(f, " in {phase}"), + (None, None) => Ok(()), + } + } +} + #[derive(Debug, Snafu)] #[snafu(visibility(pub(crate)))] pub enum Error { @@ -18,6 +59,10 @@ pub enum Error { InvalidInput { message: String }, #[snafu(display("Table '{name}' was not found"))] TableNotFound { name: String, source: BoxError }, + #[snafu(display( + "Table '{name}' exists but could not be loaded (it may be corrupt or incomplete): {source}" + ))] + TableCorrupted { name: String, source: BoxError }, #[snafu(display("Database '{name}' was not found"))] DatabaseNotFound { name: String }, #[snafu(display("Database '{name}' already exists."))] @@ -40,6 +85,13 @@ pub enum Error { Runtime { message: String }, #[snafu(display("Timeout error: {message}"))] Timeout { message: String }, + #[snafu(display("Job{} failed{failure}", job_id.as_ref().map(|id| format!(" {id}")).unwrap_or_default()))] + JobFailed { + job_id: Option, + failure: JobFailure, + }, + #[snafu(display("Job{} was cancelled", job_id.as_ref().map(|id| format!(" {id}")).unwrap_or_default()))] + JobCancelled { job_id: Option }, // 3rd party / external errors #[snafu(display("object_store error: {source}"))] @@ -121,6 +173,9 @@ impl From for Error { match source { lance::Error::Wrapped { error, .. } => Self::from_box_error(error), lance::Error::External { source } => Self::from_box_error(source), + lance::Error::InvalidInput { source, .. } => Self::InvalidInput { + message: source.to_string(), + }, _ => Self::Lance { source }, } } diff --git a/rust/lancedb/src/index.rs b/rust/lancedb/src/index.rs index 308a64ca1..c693dc056 100644 --- a/rust/lancedb/src/index.rs +++ b/rust/lancedb/src/index.rs @@ -10,7 +10,7 @@ use std::time::Duration; use vector::IvfFlatIndexBuilder; use crate::index::vector::IvfRqIndexBuilder; -use crate::{DistanceType, Error, Result, table::BaseTable}; +use crate::{DistanceType, Error, Result, job::Job, table::BaseTable}; use self::{ scalar::{BTreeIndexBuilder, BitmapIndexBuilder, FmIndexBuilder, LabelListIndexBuilder}, @@ -305,6 +305,14 @@ impl IndexBuilder { pub async fn execute(self) -> Result<()> { self.parent.clone().create_index(self).await } + + /// Creates the index, returning a [`Job`] tracking the operation. + /// + /// The job may already be complete when returned, and callers must not + /// assume the index exists until [`Job::wait`] resolves. + pub async fn execute_async(self) -> Result { + self.parent.clone().create_index_async(self).await + } } #[derive(Debug, Clone, PartialEq, Deserialize)] diff --git a/rust/lancedb/src/job.rs b/rust/lancedb/src/job.rs new file mode 100644 index 000000000..789ce8312 --- /dev/null +++ b/rust/lancedb/src/job.rs @@ -0,0 +1,182 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +//! Handles to operations a server may run asynchronously. + +use std::sync::Arc; + +use async_trait::async_trait; +use tokio::sync::watch; +use tokio::task::{AbortHandle, JoinHandle}; + +use crate::error::{Error, JobFailure, Result}; + +/// Backend-specific tracking for an asynchronous operation. +#[async_trait] +pub(crate) trait JobHandle: Send + Sync { + /// Server-assigned id, when the backend has one. + fn id(&self) -> Option<&str> { + None + } + async fn status(&self) -> Result; + async fn wait(&self) -> Result<()>; + async fn cancel(&self) -> Result<()>; +} + +/// A handle to an operation that may still be running. +/// +/// The operation may already be complete when the handle is created. +pub struct Job { + handle: Option>, +} + +impl std::fmt::Debug for Job { + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { + f.debug_struct("Job") + .field("id", &self.id()) + .field("done", &self.handle.is_none()) + .finish() + } +} + +impl Job { + /// A job whose operation finished before the handle was created. + pub(crate) fn new_done() -> Self { + Self { handle: None } + } + + pub(crate) fn new(handle: Box) -> Self { + Self { + handle: Some(handle), + } + } + + /// A job running as a task in this process. + pub(crate) fn spawned(task: JoinHandle>) -> Self { + Self::new(Box::new(SpawnedJob::new(task))) + } + + /// Identifies the operation on the server that is running it. + /// + /// Returned for correlating with server logs or the jobs API. Operations + /// that run in this process have no server id and return `None`. The + /// value is opaque: parsing it or storing it to resume the job later is + /// not supported. + pub fn id(&self) -> Option<&str> { + self.handle.as_ref().and_then(|handle| handle.id()) + } + + /// The operation's current lifecycle state: "running", "finished", + /// "failed", or "cancelled". + /// + /// A point snapshot; unlike [`Job::wait`] it does not block, raise on a + /// terminal failure state, or retry. States a newer server reports that + /// this client version does not know pass through as-is. + pub async fn status(&self) -> Result { + match &self.handle { + None => Ok("finished".to_string()), + Some(handle) => handle.status().await, + } + } + + /// Waits until the operation reaches a terminal state. + /// + /// Returns [`crate::Error::JobFailed`] if the operation failed and + /// [`crate::Error::JobCancelled`] if it was cancelled. + pub async fn wait(&self) -> Result<()> { + match &self.handle { + None => Ok(()), + Some(handle) => handle.wait().await, + } + } + + /// Requests cancellation of the operation. + /// + /// Cancelling an operation that already finished is a no-op. + pub async fn cancel(&self) -> Result<()> { + match &self.handle { + None => Ok(()), + Some(handle) => handle.cancel().await, + } + } +} + +/// How an in-process operation ended. Cloneable so every waiter can be given +/// the outcome; [`Error`] is not, so failures share one behind an [`Arc`]. +#[derive(Clone)] +enum Outcome { + Succeeded, + Failed(Arc), + Cancelled, +} + +impl Outcome { + fn into_result(self) -> Result<()> { + match self { + Self::Succeeded => Ok(()), + Self::Failed(source) => Err(Error::JobFailed { + job_id: None, + failure: JobFailure::from_source(source), + }), + Self::Cancelled => Err(Error::JobCancelled { job_id: None }), + } + } +} + +/// Tracks an operation running as a task in this process. A second task +/// watches the first so that aborting it still produces an outcome, and so +/// that every caller of `wait` observes the same one. +struct SpawnedJob { + outcome: watch::Receiver>, + abort: AbortHandle, +} + +impl SpawnedJob { + fn new(task: JoinHandle>) -> Self { + let abort = task.abort_handle(); + let (tx, outcome) = watch::channel(None); + tokio::spawn(async move { + let outcome = match task.await { + Ok(Ok(())) => Outcome::Succeeded, + Ok(Err(err)) => Outcome::Failed(Arc::new(err)), + Err(err) if err.is_cancelled() => Outcome::Cancelled, + Err(err) => Outcome::Failed(Arc::new(Error::Runtime { + message: format!("index job task failed: {err}"), + })), + }; + let _ = tx.send(Some(outcome)); + }); + Self { outcome, abort } + } +} + +#[async_trait] +impl JobHandle for SpawnedJob { + async fn status(&self) -> Result { + let label = match &*self.outcome.borrow() { + None => "running", + Some(Outcome::Succeeded) => "finished", + Some(Outcome::Failed(_)) => "failed", + Some(Outcome::Cancelled) => "cancelled", + }; + Ok(label.to_string()) + } + + async fn wait(&self) -> Result<()> { + let mut outcome = self.outcome.clone(); + let settled = outcome + .wait_for(|outcome| outcome.is_some()) + .await + .map_err(|_| Error::Runtime { + message: "index job outcome was dropped before it completed".to_string(), + })? + .clone() + .expect("wait_for returns once an outcome is set"); + settled.into_result() + } + + async fn cancel(&self) -> Result<()> { + self.abort.abort(); + Ok(()) + } +} diff --git a/rust/lancedb/src/lib.rs b/rust/lancedb/src/lib.rs index 35a564d41..70d023ccc 100644 --- a/rust/lancedb/src/lib.rs +++ b/rust/lancedb/src/lib.rs @@ -184,6 +184,7 @@ pub mod expr; pub mod index; pub mod io; pub mod ipc; +pub mod job; #[cfg(feature = "metrics-otel")] pub mod metrics_otel; #[cfg(feature = "polars")] @@ -201,9 +202,10 @@ use std::{fmt::Display, str::FromStr}; use serde::{Deserialize, Serialize}; -pub use blob::{blob, is_blob}; +pub use blob::{BlobRangeRequest, blob, is_blob}; pub use connection::{ConnectNamespaceBuilder, Connection}; -pub use error::{Error, Result}; +pub use error::{Error, JobFailure, Result}; +pub use job::Job; use lance_index::vector::ApproxMode as LanceApproxMode; use lance_linalg::distance::DistanceType as LanceDistanceType; /// Re-export of the [`metrics`](https://docs.rs/metrics) crate facade. Enable diff --git a/rust/lancedb/src/remote.rs b/rust/lancedb/src/remote.rs index 25e19c537..4b5f8832f 100644 --- a/rust/lancedb/src/remote.rs +++ b/rust/lancedb/src/remote.rs @@ -8,13 +8,13 @@ pub(crate) mod client; pub(crate) mod db; +pub(crate) mod job; pub mod oauth; mod retry; pub(crate) mod table; pub(crate) mod util; const ARROW_STREAM_CONTENT_TYPE: &str = "application/vnd.apache.arrow.stream"; -#[cfg(test)] const ARROW_FILE_CONTENT_TYPE: &str = "application/vnd.apache.arrow.file"; #[cfg(test)] const JSON_CONTENT_TYPE: &str = "application/json"; diff --git a/rust/lancedb/src/remote/db.rs b/rust/lancedb/src/remote/db.rs index 25fcd23b1..839cb3797 100644 --- a/rust/lancedb/src/remote/db.rs +++ b/rust/lancedb/src/remote/db.rs @@ -20,7 +20,7 @@ use lance_namespace::models::{ use crate::Error; use crate::database::{ CloneTableRequest, CreateTableMode, CreateTableRequest, Database, DatabaseOptions, - OpenTableRequest, ReadConsistency, TableNamesRequest, + JobDescription, JobInfo, OpenTableRequest, ReadConsistency, TableNamesRequest, }; use crate::error::Result; use crate::remote::util::stream_as_body; @@ -79,6 +79,10 @@ impl ServerVersion { pub fn support_multipart_write(&self) -> bool { self.0 >= semver::Version::new(0, 4, 0) } + + pub fn support_blobs(&self) -> bool { + self.0 >= semver::Version::new(0, 5, 0) + } } pub const OPT_REMOTE_PREFIX: &str = "remote_database_"; @@ -428,6 +432,73 @@ fn build_cache_key(name: &str, namespace: &[String]) -> String { key.iter().map(|b| format!("{:02x}", b)).collect() } +#[derive(serde::Deserialize)] +struct RemoteListJobRow { + job_id: String, + #[serde(default)] + table: String, + #[serde(default)] + job_type: String, + #[serde(default)] + state: String, + #[serde(default)] + created_at_millis: i64, +} + +#[derive(serde::Deserialize)] +struct RemoteListJobsResponse { + #[serde(default)] + jobs: Vec, + #[serde(default)] + page_token: Option, +} + +/// The server's account of why a job failed. Absent from older servers, +/// which report only the terminal state. +#[derive(serde::Deserialize)] +struct RemoteReportedFailure { + #[serde(default)] + phase: Option, + #[serde(default)] + message: Option, + #[serde(default)] + retryable: Option, +} + +#[derive(serde::Deserialize)] +struct RemoteDescribeJobResponse { + job_id: String, + #[serde(default)] + job_type: String, + job_state: String, + #[serde(default)] + creation_ms: i64, + #[serde(default)] + spec: serde_json::Value, + #[serde(default)] + failure: Option, +} + +/// Server job states -> the client vocabulary ("running" / "finished" / +/// "failed" / "cancelled"). Covers both the describe enum (IN_PROGRESS / +/// DONE / FAILED / CANCELLED) and the registry's lowercase list-row states +/// (in_progress / succeeded / failed / canceled / timed_out). States this +/// client version does not know (e.g. created, queued) pass through as-is. +fn job_state_to_client(state: &str) -> String { + match state { + "IN_PROGRESS" | "in_progress" => "running", + "DONE" | "done" | "succeeded" => "finished", + "FAILED" | "failed" | "TIMED_OUT" | "timed_out" => "failed", + "CANCELLED" | "cancelled" | "canceled" => "cancelled", + other => other, + } + .to_string() +} + +/// Bound on `list_jobs` page walking; a warning is logged when the listing +/// is truncated at this many pages. +const MAX_LIST_JOBS_PAGES: usize = 100; + #[async_trait] impl Database for RemoteDatabase { fn uri(&self) -> &str { @@ -441,6 +512,108 @@ impl Database for RemoteDatabase { }) } + fn job(&self, job_id: &str) -> Result { + Ok(crate::job::Job::new(Box::new(super::job::RemoteJob::new( + self.client.clone(), + job_id.to_string(), + )))) + } + + async fn list_jobs(&self) -> Result> { + let mut out = Vec::new(); + let mut page_token: Option = None; + for page in 0..MAX_LIST_JOBS_PAGES { + let mut body = serde_json::json!({}); + if let Some(token) = &page_token { + body["page_token"] = serde_json::Value::String(token.clone()); + } + let req = self.client.post("/v1/jobs/list").json(&body); + let (request_id, rsp) = self.client.send(req).await?; + let rsp = self.client.check_response(&request_id, rsp).await?; + let body: RemoteListJobsResponse = rsp.json().await.err_to_http(request_id)?; + out.extend(body.jobs.into_iter().map(|row| JobInfo { + job_id: row.job_id, + table: row.table, + job_type: row.job_type, + state: job_state_to_client(&row.state), + created_at_millis: row.created_at_millis, + })); + page_token = body.page_token; + if page_token.is_none() { + break; + } + if page + 1 == MAX_LIST_JOBS_PAGES { + log::warn!( + "list_jobs truncated after {} pages ({} jobs)", + MAX_LIST_JOBS_PAGES, + out.len() + ); + } + } + Ok(out) + } + + async fn get_job(&self, job_id: &str) -> Result> { + let req = self + .client + .post("/v1/jobs/describe") + .json(&serde_json::json!({ "job_id": job_id })); + let (request_id, rsp) = self.client.send(req).await?; + let rsp = match self.client.check_response(&request_id, rsp).await { + Ok(rsp) => rsp, + Err(Error::Http { + status_code: Some(StatusCode::NOT_FOUND), + .. + }) => return Ok(None), + Err(err) => return Err(err), + }; + let body: RemoteDescribeJobResponse = rsp.json().await.err_to_http(request_id)?; + Ok(Some(JobDescription { + job_id: body.job_id, + job_type: body.job_type, + state: job_state_to_client(&body.job_state), + creation_ms: body.creation_ms, + spec: body.spec, + failure: body.failure.map(|reported| crate::error::JobFailure { + phase: reported.phase, + message: reported.message, + retryable: reported.retryable, + source: None, + }), + })) + } + + async fn cancel_job(&self, job_id: &str) -> Result { + let req = self + .client + .post("/v1/jobs/cancel") + .json(&serde_json::json!({ "job_id": job_id })); + let (request_id, rsp) = self.client.send(req).await?; + match self.client.check_response(&request_id, rsp).await { + Ok(_) => Ok(true), + Err(Error::Http { + status_code: Some(StatusCode::NOT_FOUND), + .. + }) => Ok(false), + Err(err) => Err(err), + } + } + + async fn job_history(&self, job_id: Option<&str>) -> Result> { + let mut body = serde_json::json!({}); + if let Some(job_id) = job_id { + body["job_id"] = serde_json::Value::String(job_id.to_string()); + } + let req = self.client.post("/v1/jobs/query_events").json(&body); + let (request_id, rsp) = self.client.send(req).await?; + let rsp = self.client.check_response(&request_id, rsp).await?; + let bytes = rsp.bytes().await.err_to_http(request_id)?; + let reader = arrow_ipc::reader::StreamReader::try_new(std::io::Cursor::new(bytes), None)?; + reader + .collect::, _>>() + .map_err(Into::into) + } + async fn table_names(&self, request: TableNamesRequest) -> Result> { let mut req = if !request.namespace_path.is_empty() { let namespace_id = @@ -661,6 +834,7 @@ impl Database for RemoteDatabase { RemoteTable::::handle_table_not_found(&request.name, rsp, &request_id).await?; let rsp = self.client.check_response(&request_id, rsp).await?; let version = parse_server_version(&request_id, &rsp)?; + let describe_body = rsp.text().await.ok(); let table_identifier = build_table_identifier( &request.name, &request.namespace_path, @@ -673,6 +847,12 @@ impl Database for RemoteDatabase { table_identifier, version, )); + // This describe already carries the schema, so hand it to the table + // instead of making the first schema read fetch it again. A version or + // branch pin applied after this invalidates the cache. + if let Some(body) = &describe_body { + table.seed_schema(body); + } let cache_key = build_cache_key(&request.name, &request.namespace_path); self.table_cache.insert(cache_key, table.clone()).await; Ok(table) @@ -923,6 +1103,7 @@ impl From for RemoteOptions { mod tests { use super::{NamespaceHeaderProviderContext, build_cache_key}; use std::collections::HashMap; + use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, OnceLock}; use arrow_array::{Int32Array, RecordBatch}; @@ -1073,6 +1254,46 @@ mod tests { assert_eq!(table.name(), "table1"); } + #[tokio::test] + async fn test_open_table_seeds_the_schema_from_its_describe() { + let describe_calls = Arc::new(AtomicUsize::new(0)); + let counted = describe_calls.clone(); + let conn = Connection::new_with_handler(move |request| { + assert_eq!(request.url().path(), "/v1/table/table1/describe/"); + counted.fetch_add(1, Ordering::SeqCst); + http::Response::builder() + .status(200) + .body( + r#"{"version": 1, "schema": {"fields": [ + {"name": "id", "type": {"type": "int64"}, "nullable": false} + ]}}"# + .to_string(), + ) + .unwrap() + }); + + let table = conn.open_table("table1").execute().await.unwrap(); + let schema = table.schema().await.unwrap(); + + assert_eq!(schema.field(0).name(), "id"); + assert_eq!(describe_calls.load(Ordering::SeqCst), 1); + } + + #[tokio::test] + async fn test_open_table_survives_a_describe_body_it_cannot_parse() { + let conn = Connection::new_with_handler(|request| { + assert_eq!(request.url().path(), "/v1/table/table1/describe/"); + http::Response::builder() + .status(200) + .body(r#"{"table": "table1"}"#.to_string()) + .unwrap() + }); + + let table = conn.open_table("table1").execute().await.unwrap(); + + assert_eq!(table.name(), "table1"); + } + #[tokio::test] async fn test_open_table_branch_and_version() { let conn = Connection::new_with_handler(|request| { @@ -2042,4 +2263,165 @@ mod tests { assert!(list_response.tables.contains(&"table3".to_string())); } } + + #[tokio::test] + async fn test_list_jobs_paginates() { + let page = Arc::new(AtomicUsize::new(0)); + let conn = Connection::new_with_handler(move |request| { + assert_eq!(request.method(), &reqwest::Method::POST); + assert_eq!(request.url().path(), "/v1/jobs/list"); + let body: serde_json::Value = + serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); + match page.fetch_add(1, Ordering::SeqCst) { + 0 => { + assert!(body.get("page_token").is_none()); + http::Response::builder() + .status(200) + .body( + r#"{"jobs": [{"job_id": "job-1", "table": "t1", "job_type": "create_index", "state": "in_progress", "created_at_millis": 1000}], "page_token": "next"}"#, + ) + .unwrap() + } + _ => { + assert_eq!(body["page_token"], "next"); + http::Response::builder() + .status(200) + .body( + r#"{"jobs": [{"job_id": "job-2", "table": "t2", "job_type": "create_index", "state": "succeeded", "created_at_millis": 2000}, {"job_id": "job-3", "table": "t3", "job_type": "create_index", "state": "timed_out", "created_at_millis": 3000}]}"#, + ) + .unwrap() + } + } + }); + let jobs = conn.list_jobs().await.unwrap(); + assert_eq!(jobs.len(), 3); + assert_eq!(jobs[0].job_id, "job-1"); + assert_eq!(jobs[0].table, "t1"); + assert_eq!(jobs[0].state, "running"); + assert_eq!(jobs[1].job_id, "job-2"); + assert_eq!(jobs[1].state, "finished"); + assert_eq!(jobs[1].created_at_millis, 2000); + assert_eq!(jobs[2].job_id, "job-3"); + assert_eq!(jobs[2].state, "failed"); + } + + #[tokio::test] + async fn test_get_job() { + let conn = Connection::new_with_handler(|request| { + assert_eq!(request.method(), &reqwest::Method::POST); + assert_eq!(request.url().path(), "/v1/jobs/describe"); + let body: serde_json::Value = + serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); + assert_eq!(body["job_id"], "job-1"); + http::Response::builder() + .status(200) + .body( + r#"{"job_id": "job-1", "job_type": "create_index", "job_state": "FAILED", "creation_ms": 1000, "spec": {"column": "vec"}, "failure": {"phase": "execute", "message": "worker died", "retryable": true}}"#, + ) + .unwrap() + }); + let job = conn.get_job("job-1").await.unwrap().unwrap(); + assert_eq!(job.job_id, "job-1"); + assert_eq!(job.job_type, "create_index"); + assert_eq!(job.state, "failed"); + assert_eq!(job.creation_ms, 1000); + assert_eq!(job.spec["column"], "vec"); + let failure = job.failure.unwrap(); + assert_eq!(failure.phase.as_deref(), Some("execute")); + assert_eq!(failure.message.as_deref(), Some("worker died")); + assert_eq!(failure.retryable, Some(true)); + } + + #[tokio::test] + async fn test_get_job_missing_is_none() { + let conn = Connection::new_with_handler(|_| { + http::Response::builder() + .status(404) + .body("no such job") + .unwrap() + }); + assert!(conn.get_job("nope").await.unwrap().is_none()); + } + + #[tokio::test] + async fn test_cancel_job() { + let conn = Connection::new_with_handler(|request| { + assert_eq!(request.url().path(), "/v1/jobs/cancel"); + http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-1"}"#) + .unwrap() + }); + assert!(conn.cancel_job("job-1").await.unwrap()); + + let conn = Connection::new_with_handler(|_| { + http::Response::builder() + .status(404) + .body("no such job") + .unwrap() + }); + assert!(!conn.cancel_job("nope").await.unwrap()); + } + + #[tokio::test] + async fn test_job_history_parses_arrow_stream() { + let schema = Arc::new(Schema::new(vec![Field::new( + "state", + DataType::Utf8, + false, + )])); + let batch = RecordBatch::try_new( + schema.clone(), + vec![Arc::new(arrow_array::StringArray::from(vec![ + "created", "done", + ]))], + ) + .unwrap(); + let mut body = Vec::new(); + { + let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut body, &schema).unwrap(); + writer.write(&batch).unwrap(); + writer.finish().unwrap(); + } + let conn = Connection::new_with_handler(move |request| { + assert_eq!(request.url().path(), "/v1/jobs/query_events"); + let req_body: serde_json::Value = + serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); + assert_eq!(req_body["job_id"], "job-1"); + http::Response::builder() + .status(200) + .body(body.clone()) + .unwrap() + }); + let batches = conn.job_history(Some("job-1")).await.unwrap(); + assert_eq!(batches.len(), 1); + assert_eq!(batches[0].num_rows(), 2); + } + + #[tokio::test] + async fn test_conn_job_waits_to_done() { + let polls = Arc::new(AtomicUsize::new(0)); + let polls_ref = polls.clone(); + let conn = Connection::new_with_handler(move |request| { + assert_eq!(request.url().path(), "/v1/jobs/describe"); + let state = if polls_ref.fetch_add(1, Ordering::SeqCst) == 0 { + "IN_PROGRESS" + } else { + "DONE" + }; + http::Response::builder() + .status(200) + .body(format!( + r#"{{"job_id": "job-1", "job_type": "create_index", "job_state": "{}", "creation_ms": 1}}"#, + state + )) + .unwrap() + }); + let job = conn.job("job-1").unwrap(); + assert_eq!(job.id(), Some("job-1")); + assert_eq!(job.status().await.unwrap(), "running"); + job.wait().await.unwrap(); + assert_eq!(job.status().await.unwrap(), "finished"); + assert!(polls.load(Ordering::SeqCst) >= 3); + } } diff --git a/rust/lancedb/src/remote/job.rs b/rust/lancedb/src/remote/job.rs new file mode 100644 index 000000000..2fc99da59 --- /dev/null +++ b/rust/lancedb/src/remote/job.rs @@ -0,0 +1,170 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +//! Tracking for server-side jobs through the `/v1/jobs` API. + +use std::time::Duration; + +use async_trait::async_trait; +use tokio::time::sleep; + +use serde::{Deserialize, Deserializer}; + +use crate::error::{Error, JobFailure, Result}; +use crate::job::JobHandle; +use crate::remote::client::{HttpSend, RequestResultExt, RestfulLanceDbClient}; + +/// Delay before the second job-state poll; doubles up to [`MAX_POLL_INTERVAL`]. +const INITIAL_POLL_INTERVAL: Duration = Duration::from_millis(200); +const MAX_POLL_INTERVAL: Duration = Duration::from_secs(5); + +#[derive(Debug, Clone, PartialEq, Eq)] +enum JobState { + InProgress, + Cancelled, + Failed, + Done, + /// A state this client version does not know; treated as still running + /// and reported as-is if the job never settles. + Other(String), +} + +impl<'de> Deserialize<'de> for JobState { + fn deserialize>(deserializer: D) -> std::result::Result { + Ok(Self::from(String::deserialize(deserializer)?.as_str())) + } +} + +impl JobState { + /// The client vocabulary label for this state. + fn client_label(&self) -> String { + match self { + Self::InProgress => "running".to_string(), + Self::Done => "finished".to_string(), + Self::Failed => "failed".to_string(), + Self::Cancelled => "cancelled".to_string(), + Self::Other(state) => state.clone(), + } + } +} + +impl From<&str> for JobState { + fn from(state: &str) -> Self { + match state { + "IN_PROGRESS" => Self::InProgress, + "CANCELLED" => Self::Cancelled, + // The server reports a timed-out job as FAILED on describe; + // accept the raw registry state too in case a future server + // stops folding it. + "FAILED" | "TIMED_OUT" => Self::Failed, + "DONE" => Self::Done, + other => Self::Other(other.to_string()), + } + } +} + +/// The server's account of why a job failed. Absent from older servers, which +/// report only the terminal state. +#[derive(Deserialize)] +struct ReportedFailure { + #[serde(default)] + phase: Option, + #[serde(default)] + message: Option, + #[serde(default)] + retryable: Option, +} + +#[derive(Deserialize)] +struct DescribeJobResponse { + job_state: JobState, + #[serde(default)] + failure: Option, +} + +pub struct RemoteJob { + client: RestfulLanceDbClient, + job_id: String, +} + +impl RemoteJob { + pub fn new(client: RestfulLanceDbClient, job_id: String) -> Self { + Self { client, job_id } + } + + /// One `/v1/jobs/describe` round trip. + async fn describe(&self) -> Result { + let request = self + .client + .post("/v1/jobs/describe") + .json(&serde_json::json!({ "job_id": self.job_id })); + let (request_id, response) = self.client.send(request).await?; + let response = self.client.check_response(&request_id, response).await?; + let body = response.text().await.err_to_http(request_id.clone())?; + let description: DescribeJobResponse = + serde_json::from_str(&body).map_err(|e| Error::Http { + source: format!("failed to parse job description: {}", e).into(), + request_id, + status_code: None, + })?; + Ok(description) + } +} + +#[async_trait] +impl JobHandle for RemoteJob { + fn id(&self) -> Option<&str> { + Some(&self.job_id) + } + + async fn status(&self) -> Result { + Ok(self.describe().await?.job_state.client_label()) + } + + async fn wait(&self) -> Result<()> { + let mut interval = INITIAL_POLL_INTERVAL; + loop { + let description = self.describe().await?; + match description.job_state { + JobState::Done => return Ok(()), + JobState::Failed => { + return Err(Error::JobFailed { + job_id: Some(self.job_id.clone()), + failure: description + .failure + .map(|reported| JobFailure { + phase: reported.phase, + message: reported.message, + retryable: reported.retryable, + source: None, + }) + .unwrap_or_default(), + }); + } + JobState::Cancelled => { + return Err(Error::JobCancelled { + job_id: Some(self.job_id.clone()), + }); + } + JobState::InProgress => {} + JobState::Other(ref state) => { + log::debug!("job {} is in unrecognized state {state}", self.job_id) + } + } + sleep(interval).await; + interval = (interval * 2).min(MAX_POLL_INTERVAL); + } + } + + async fn cancel(&self) -> Result<()> { + let request = self + .client + .post("/v1/jobs/cancel") + .json(&serde_json::json!({ "job_id": self.job_id })); + let (request_id, response) = self.client.send(request).await?; + self.client + .check_response(&request_id, response) + .await + .map(|_| ()) + } +} diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index b17e6c2bb..9a08352c6 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -1,21 +1,23 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors +mod blobs; pub mod insert; -use self::insert::RemoteInsertExec; -use crate::expr::expr_to_sql_string; -use crate::table::write_progress::FinishOnDrop; - -use super::ARROW_STREAM_CONTENT_TYPE; +use self::insert::{RemoteWriteExec, WriteOp}; use super::client::RequestResultExt; use super::client::{HttpSend, RestfulLanceDbClient, Sender}; use super::db::ServerVersion; +use super::{ARROW_FILE_CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE}; +use crate::blob::BlobFile; use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitions}; +use crate::expr::expr_to_sql_string; use crate::index::Index; use crate::index::IndexStatistics; use crate::index::waiter::wait_for_index; +use crate::job::Job; use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest}; +use crate::remote::job::RemoteJob; use crate::table::AddColumnsResult; use crate::table::AddResult; use crate::table::BranchDiff; @@ -28,6 +30,7 @@ use crate::table::Tags; use crate::table::UpdateResult; use crate::table::merge::MergeFilter; use crate::table::query::create_multi_vector_plan; +use crate::table::write_progress::FinishOnDrop; use crate::table::{AlterColumnsResult, FieldMetadataUpdate, UpdateFieldMetadataResult}; use crate::table::{AnyQuery, Filter, Predicate, PreprocessingOutput, TableStatistics}; use crate::utils::background_cache::BackgroundCache; @@ -44,9 +47,9 @@ use crate::{ merge::MergeInsertBuilder, }, }; -use arrow_array::{RecordBatch, RecordBatchIterator, RecordBatchReader}; -use arrow_ipc::reader::FileReader; -use arrow_schema::{DataType, SchemaRef}; +use arrow_array::{LargeBinaryArray, RecordBatch, RecordBatchReader}; +use arrow_ipc::reader::{FileReader, StreamReader}; +use arrow_schema::{ArrowError, DataType, SchemaRef}; use async_trait::async_trait; use chrono::{DateTime, Utc}; use datafusion_common::DataFusionError; @@ -289,6 +292,120 @@ impl std::fmt::Debug for RemoteTable { } impl RemoteTable { + async fn submit_create_index(&self, mut index: IndexBuilder) -> Result> { + self.check_mutable().await?; + let request = self + .client + .post(&format!("/v1/table/{}/create_index/", self.identifier)); + + let column = match index.columns.len() { + 0 => { + return Err(Error::InvalidInput { + message: "No columns specified".into(), + }); + } + 1 => index.columns.pop().unwrap(), + _ => { + return Err(Error::NotSupported { + message: "Indices over multiple columns not yet supported".into(), + }); + } + }; + let schema = self.schema().await?; + let (canonical_column, field) = resolve_arrow_field_path(&schema, &column)?; + let mut body = serde_json::json!({ + "column": canonical_column + }); + + // Add name parameter if provided (for backwards compatibility, only include if Some) + if let Some(ref name) = index.name { + body["name"] = serde_json::Value::String(name.clone()); + } + + // Warn if train=false is specified since it's not meaningful + if !index.train { + log::warn!( + "train=false has no effect remote tables. The index will be created empty and automatically populated in the background." + ); + } + + fn to_json(params: &impl serde::Serialize) -> crate::Result { + serde_json::to_value(params).map_err(|e| Error::InvalidInput { + message: format!("failed to serialize index params {:?}", e), + }) + } + + // Map each Index variant to its wire type name and serializable params. + // Auto is special-cased since it needs schema inspection. + let (index_type_str, params) = match &index.index { + Index::IvfFlat(p) => ("IVF_FLAT", Some(to_json(p)?)), + Index::IvfPq(p) => ("IVF_PQ", Some(to_json(p)?)), + Index::IvfSq(p) => ("IVF_SQ", Some(to_json(p)?)), + Index::IvfHnswSq(p) => ("IVF_HNSW_SQ", Some(to_json(p)?)), + Index::IvfHnswFlat(p) => ("IVF_HNSW_FLAT", Some(to_json(p)?)), + Index::IvfRq(p) => ("IVF_RQ", Some(to_json(p)?)), + Index::BTree(p) => ("BTREE", Some(to_json(p)?)), + Index::Bitmap(p) => ("BITMAP", Some(to_json(p)?)), + Index::LabelList(p) => ("LABEL_LIST", Some(to_json(p)?)), + Index::Fm(p) => ("FM", Some(to_json(p)?)), + Index::FTS(p) => ("FTS", Some(to_json(p)?)), + Index::Auto => { + if supported_vector_data_type(field.data_type()) { + body[METRIC_TYPE_KEY] = + serde_json::Value::String(DistanceType::L2.to_string().to_lowercase()); + ("IVF_PQ", None) + } else if supported_btree_data_type(field.data_type()) { + ("BTREE", None) + } else { + return Err(Error::NotSupported { + message: format!( + "there are no indices supported for the field `{}` with the data type {}", + field.name(), + field.data_type() + ), + }); + } + } + _ => { + return Err(Error::NotSupported { + message: "Index type not supported".into(), + }); + } + }; + + body[INDEX_TYPE_KEY] = index_type_str.into(); + if let Some(params) = params { + for (key, value) in params.as_object().expect("params should be a JSON object") { + body[key] = value.clone(); + } + } + self.apply_branch_body(&mut body); + + let request = request.json(&body); + + let (request_id, response) = self.send(request, true).await?; + + let response = self.check_table_response(&request_id, response).await?; + let job_id = response + .text() + .await + .ok() + .and_then(|body| serde_json::from_str::(&body).ok()) + .and_then(|value| { + value + .get("job_id") + .and_then(|id| id.as_str()) + .map(str::to_string) + }); + + if let Some(wait_timeout) = index.wait_timeout { + let index_name = index.name.unwrap_or_else(|| format!("{}_idx", column)); + self.wait_for_index(&[&index_name], wait_timeout).await?; + } + + Ok(job_id) + } + pub fn new( client: RestfulLanceDbClient, name: String, @@ -310,6 +427,20 @@ impl RemoteTable { } } + /// Seed the schema cache from a `describe` body the caller already fetched. + /// + /// Best effort. `open_table` succeeds today without reading this body, so a + /// body we cannot parse leaves the cache empty and the next schema read + /// fetches it again through the path that reports a real error. + pub(crate) fn seed_schema(&self, describe_body: &str) { + let Ok(description) = serde_json::from_str::(describe_body) else { + return; + }; + if let Ok(schema) = arrow_schema::Schema::try_from(description.schema) { + self.schema_cache.seed(Arc::new(schema)); + } + } + /// Return a new handle scoped to `branch`, sharing the client but with fresh /// caches and version/freshness state (the branch tracks its own latest). /// Mirrors `NativeTable`'s handle-per-branch model. @@ -455,50 +586,6 @@ impl RemoteTable { } } - fn reader_as_body(data: Box) -> Result { - // TODO: Once Phalanx supports compression, we should use it here. - let mut writer = arrow_ipc::writer::StreamWriter::try_new( - Vec::new(), - &RecordBatchReader::schema(&*data), - )?; - - // Mutex is just here to make it sync. We shouldn't have any contention. - let mut data = Mutex::new(data); - let body_iter = std::iter::from_fn(move || match data.get_mut().unwrap().next() { - Some(Ok(batch)) => { - writer.write(&batch).ok()?; - let buffer = std::mem::take(writer.get_mut()); - Some(Ok(buffer)) - } - Some(Err(e)) => Some(Err(e)), - None => { - writer.finish().ok()?; - let buffer = std::mem::take(writer.get_mut()); - Some(Ok(buffer)) - } - }); - let body_stream = futures::stream::iter(body_iter); - Ok(reqwest::Body::wrap_stream(body_stream)) - } - - /// Buffer the reader into memory - async fn buffer_reader( - reader: &mut R, - ) -> Result<(SchemaRef, Vec)> { - let schema = reader.schema(); - let mut batches = Vec::new(); - for batch in reader { - batches.push(batch?); - } - Ok((schema, batches)) - } - - /// Create a new RecordBatchReader from buffered data - fn make_reader(schema: SchemaRef, batches: Vec) -> impl RecordBatchReader { - let iter = batches.into_iter().map(Ok); - RecordBatchIterator::new(iter, schema) - } - async fn send(&self, req: RequestBuilder, with_retry: bool) -> Result<(String, Response)> { let res = if with_retry { self.client.send_with_retry(req, None, true).await? @@ -508,34 +595,6 @@ impl RemoteTable { Ok(res) } - /// Send the request with streaming body. - /// This will use retries if with_retry is set and the number of configured retries is > 0. - /// If retries are enabled, the stream will be buffered into memory. - async fn send_streaming( - &self, - req: RequestBuilder, - mut data: Box, - with_retry: bool, - ) -> Result<(String, Response)> { - if !with_retry || self.client.retry_config.retries == 0 { - let body = Self::reader_as_body(data)?; - return self.client.send(req.body(body)).await; - } - - // to support retries, buffer into memory and clone the batches on each retry - let (schema, batches) = Self::buffer_reader(&mut *data).await?; - let make_body = Box::new(move || { - let reader = Self::make_reader(schema.clone(), batches.clone()); - Self::reader_as_body(Box::new(reader)) - }); - let res = self - .client - .send_with_retry(req, Some(make_body), false) - .await?; - - Ok(res) - } - pub(super) async fn handle_table_not_found( table_name: &str, response: reqwest::Response, @@ -594,19 +653,39 @@ impl RemoteTable { result } - async fn read_arrow_stream( + async fn read_arrow_response( &self, request_id: &str, response: reqwest::Response, ) -> Result { let response = self.check_table_response(request_id, response).await?; - // There isn't a way to actually stream this data yet. I have an upstream issue: - // https://github.com/apache/arrow-rs/issues/6420 + // The header has to be read before the body, which consumes the response. + let content_type = response + .headers() + .get(CONTENT_TYPE) + .and_then(|value| value.to_str().ok()) + .map(str::to_owned); + let framing = resolve_arrow_ipc_framing(content_type.as_deref(), request_id)?; + + // Buffer the whole body. File framing keeps its footer at the end, so /query + // cannot decode incrementally. Stream framing could, via + // arrow_ipc::reader::StreamDecoder, but fetch_blobs concatenates every batch + // before returning, so no caller would see data sooner. let body = response.bytes().await.err_to_http(request_id.into())?; - let reader = FileReader::try_new(Cursor::new(body), None)?; - let schema = reader.schema(); - let stream = futures::stream::iter(reader).map_err(DataFusionError::from); + type IpcBatchIterator = + Box> + Send>; + let (schema, batches): (SchemaRef, IpcBatchIterator) = match framing { + ArrowIpcFraming::Stream => { + let reader = StreamReader::try_new(Cursor::new(body), None)?; + (reader.schema(), Box::new(reader)) + } + ArrowIpcFraming::File => { + let reader = FileReader::try_new(Cursor::new(body), None)?; + (reader.schema(), Box::new(reader)) + } + }; + let stream = futures::stream::iter(batches).map_err(DataFusionError::from); Ok(Box::pin(RecordBatchStreamAdapter::new(schema, stream))) } @@ -978,7 +1057,7 @@ impl RemoteTable { let futures = requests.into_iter().map(|req| async move { let (request_id, response) = self.send(req, true).await?; self.track_read_version_from_headers(response.headers()); - self.read_arrow_stream(&request_id, response).await + self.read_arrow_response(&request_id, response).await }); let streams = futures::future::try_join_all(futures); @@ -1044,6 +1123,47 @@ struct TableDescription { location: Option, } +/// How a response body frames its Arrow IPC payload. `/query` answers with file framing +/// and `fetch_blobs` with stream framing, so the reader is picked per response. +enum ArrowIpcFraming { + File, + Stream, +} + +/// A response with no `Content-Type` uses file framing, preserving this helper's +/// behavior before `fetch_blobs` introduced stream responses. +fn resolve_arrow_ipc_framing( + content_type: Option<&str>, + request_id: &str, +) -> Result { + let Some(media_type) = content_type.map(base_media_type) else { + return Ok(ArrowIpcFraming::File); + }; + if media_type.eq_ignore_ascii_case(ARROW_STREAM_CONTENT_TYPE) { + return Ok(ArrowIpcFraming::Stream); + } + if media_type.eq_ignore_ascii_case(ARROW_FILE_CONTENT_TYPE) { + return Ok(ArrowIpcFraming::File); + } + Err(Error::Http { + source: format!( + "Expected an Arrow IPC response with Content-Type '{ARROW_STREAM_CONTENT_TYPE}' \ + or '{ARROW_FILE_CONTENT_TYPE}', got '{media_type}'" + ) + .into(), + request_id: request_id.into(), + status_code: None, + }) +} + +/// Strip media-type parameters before matching against the Arrow content types. +fn base_media_type(content_type: &str) -> &str { + match content_type.split_once(';') { + Some((media_type, _parameters)) => media_type.trim(), + None => content_type.trim(), + } +} + /// Extract an Error from Arc, reconstructing if the Arc is shared. /// This is needed because `Shared` futures cache results internally, so /// `Arc::try_unwrap` typically fails. @@ -1238,12 +1358,14 @@ impl RemoteTable { let _guard = output.tracker.as_ref().map(|t| t.track_task()); - let mut insert: Arc = Arc::new(RemoteInsertExec::new( + let mut insert: Arc = Arc::new(RemoteWriteExec::new( self.name.clone(), self.identifier.clone(), self.client.clone(), output.plan, - output.overwrite, + WriteOp::Insert { + overwrite: output.overwrite, + }, output.tracker.clone(), self.branch.clone(), )); @@ -1258,7 +1380,7 @@ impl RemoteTable { match result { Ok(_) => { let add_result = (insert.as_ref() as &dyn std::any::Any) - .downcast_ref::>() + .downcast_ref::>() .and_then(|i| i.add_result()) .unwrap_or(AddResult { version: 0 }); @@ -1359,7 +1481,7 @@ impl RemoteTable { )?, ) as Arc; - let insert = Arc::new(RemoteInsertExec::new_multipart( + let insert = Arc::new(RemoteWriteExec::new_multipart( self.name.clone(), self.identifier.clone(), self.client.clone(), @@ -1631,9 +1753,21 @@ impl BaseTable for RemoteTable { let (request_id, response) = self.send(request, true).await?; let response = self.check_table_response(&request_id, response).await?; + // Servers report the creation time either as an RFC 3339 `timestamp` + // (direct-table path) or as `timestamp_millis` in milliseconds since + // epoch (namespace-backed path), and may omit `metadata`. + #[derive(Deserialize)] + struct VersionEntry { + version: u64, + timestamp: Option>, + timestamp_millis: Option, + #[serde(default)] + metadata: std::collections::BTreeMap, + } + #[derive(Deserialize)] struct ListVersionsResponse { - versions: Vec, + versions: Vec, } let body = response.text().await.err_to_http(request_id.clone())?; @@ -1644,11 +1778,37 @@ impl BaseTable for RemoteTable { err, body ) .into(), - request_id, + request_id: request_id.clone(), status_code: None, })?; - Ok(body.versions) + body.versions + .into_iter() + .map(|entry| { + let timestamp = entry + .timestamp + .or_else(|| { + entry + .timestamp_millis + .and_then(DateTime::::from_timestamp_millis) + }) + .ok_or_else(|| Error::Http { + source: format!( + "list_versions response for version {} has neither a valid \ + `timestamp` nor `timestamp_millis` field", + entry.version + ) + .into(), + request_id: request_id.clone(), + status_code: None, + })?; + Ok(Version { + version: entry.version, + timestamp, + metadata: entry.metadata, + }) + }) + .collect() } async fn schema(&self) -> Result { @@ -2036,6 +2196,22 @@ impl BaseTable for RemoteTable { } } + async fn blob_columns(&self) -> Result> { + self.blob_columns_impl().await + } + + async fn fetch_blobs(&self, column: &str, row_ids: &[u64]) -> Result { + self.fetch_blobs_impl(column, row_ids).await + } + + async fn fetch_blob_files( + &self, + column: &str, + row_ids: &[u64], + ) -> Result>> { + self.fetch_blob_files_impl(column, row_ids).await + } + async fn explain_plan(&self, query: &AnyQuery, verbose: bool) -> Result { let base_request = self.post_read(&format!("/v1/table/{}/explain_plan/", self.identifier)); @@ -2199,107 +2375,15 @@ impl BaseTable for RemoteTable { Ok(delete_response) } - async fn create_index(&self, mut index: IndexBuilder) -> Result<()> { - self.check_mutable().await?; - let request = self - .client - .post(&format!("/v1/table/{}/create_index/", self.identifier)); + async fn create_index(&self, index: IndexBuilder) -> Result<()> { + self.submit_create_index(index).await.map(|_| ()) + } - let column = match index.columns.len() { - 0 => { - return Err(Error::InvalidInput { - message: "No columns specified".into(), - }); - } - 1 => index.columns.pop().unwrap(), - _ => { - return Err(Error::NotSupported { - message: "Indices over multiple columns not yet supported".into(), - }); - } - }; - let schema = self.schema().await?; - let (canonical_column, field) = resolve_arrow_field_path(&schema, &column)?; - let mut body = serde_json::json!({ - "column": canonical_column - }); - - // Add name parameter if provided (for backwards compatibility, only include if Some) - if let Some(ref name) = index.name { - body["name"] = serde_json::Value::String(name.clone()); - } - - // Warn if train=false is specified since it's not meaningful - if !index.train { - log::warn!( - "train=false has no effect remote tables. The index will be created empty and automatically populated in the background." - ); - } - - fn to_json(params: &impl serde::Serialize) -> crate::Result { - serde_json::to_value(params).map_err(|e| Error::InvalidInput { - message: format!("failed to serialize index params {:?}", e), - }) - } - - // Map each Index variant to its wire type name and serializable params. - // Auto is special-cased since it needs schema inspection. - let (index_type_str, params) = match &index.index { - Index::IvfFlat(p) => ("IVF_FLAT", Some(to_json(p)?)), - Index::IvfPq(p) => ("IVF_PQ", Some(to_json(p)?)), - Index::IvfSq(p) => ("IVF_SQ", Some(to_json(p)?)), - Index::IvfHnswSq(p) => ("IVF_HNSW_SQ", Some(to_json(p)?)), - Index::IvfHnswFlat(p) => ("IVF_HNSW_FLAT", Some(to_json(p)?)), - Index::IvfRq(p) => ("IVF_RQ", Some(to_json(p)?)), - Index::BTree(p) => ("BTREE", Some(to_json(p)?)), - Index::Bitmap(p) => ("BITMAP", Some(to_json(p)?)), - Index::LabelList(p) => ("LABEL_LIST", Some(to_json(p)?)), - Index::Fm(p) => ("FM", Some(to_json(p)?)), - Index::FTS(p) => ("FTS", Some(to_json(p)?)), - Index::Auto => { - if supported_vector_data_type(field.data_type()) { - body[METRIC_TYPE_KEY] = - serde_json::Value::String(DistanceType::L2.to_string().to_lowercase()); - ("IVF_PQ", None) - } else if supported_btree_data_type(field.data_type()) { - ("BTREE", None) - } else { - return Err(Error::NotSupported { - message: format!( - "there are no indices supported for the field `{}` with the data type {}", - field.name(), - field.data_type() - ), - }); - } - } - _ => { - return Err(Error::NotSupported { - message: "Index type not supported".into(), - }); - } - }; - - body[INDEX_TYPE_KEY] = index_type_str.into(); - if let Some(params) = params { - for (key, value) in params.as_object().expect("params should be a JSON object") { - body[key] = value.clone(); - } - } - self.apply_branch_body(&mut body); - - let request = request.json(&body); - - let (request_id, response) = self.send(request, true).await?; - - self.check_table_response(&request_id, response).await?; - - if let Some(wait_timeout) = index.wait_timeout { - let index_name = index.name.unwrap_or_else(|| format!("{}_idx", column)); - self.wait_for_index(&[&index_name], wait_timeout).await?; - } - - Ok(()) + async fn create_index_async(&self, index: IndexBuilder) -> Result { + Ok(match self.submit_create_index(index).await? { + Some(job_id) => Job::new(Box::new(RemoteJob::new(self.client.clone(), job_id))), + None => Job::new_done(), + }) } /// Poll until the columns are fully indexed. Will return Error::Timeout if the columns @@ -2316,48 +2400,66 @@ impl BaseTable for RemoteTable { self.check_mutable().await?; let timeout = params.timeout; - let query = MergeInsertRequest::try_from(params)?; - let mut request = self - .client - .post(&format!("/v1/table/{}/merge_insert/", self.identifier)) - .query(&query) - .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE); - request = self.apply_branch_query(request); - if let Some(timeout) = timeout { - // (If it doesn't fit into u64, it's not worth sending anyways.) - if let Ok(timeout_ms) = u64::try_from(timeout.as_millis()) { - request = request.header(REQUEST_TIMEOUT_HEADER, timeout_ms); + // Drive merge_insert through the same RemoteWriteExec streaming path as + // add(). This routes the request body through the error side-channel so + // an input stream error (e.g. NaN rejection) surfaces with its original + // message instead of the masked HTTP error Hyper produces when a request + // body stream fails under HTTP2 (issue #2339). The branch, request + // timeout header, and merge query params are all applied inside the exec. + // + // The public merge_insert API only accepts a `RecordBatchReader`, which + // is not rescannable and so could not be retried directly. To preserve + // the previous retry-on-retryable-status behaviour, buffer the reader + // into memory first: a `Vec` is rescannable, so the outer + // loop can re-execute the plan (and re-stream the body) on each retry. + // This mirrors the old `send_streaming(with_retry=true)` path, which + // likewise buffered the reader to support retries. + let batches = new_data.collect::, _>>()?; + let source: Box = Box::new(batches); + let rescannable = source.rescannable(); + let input: Arc = + Arc::new(crate::table::datafusion::scannable_exec::ScannableExec::new(source, None)); + + let mut merge: Arc = Arc::new(RemoteWriteExec::new( + self.name.clone(), + self.identifier.clone(), + self.client.clone(), + input, + WriteOp::MergeInsert { query, timeout }, + None, + self.branch.clone(), + )); + + let mut retry_counter = crate::remote::retry::RetryCounter::new( + &self.client.retry_config, + uuid::Uuid::new_v4().to_string(), + ); + + loop { + let stream = execute_plan(merge.clone(), Default::default())?; + let result: Result> = stream.try_collect().await.map_err(Error::from); + + match result { + Ok(_) => { + let merge_result = (merge.as_ref() as &dyn std::any::Any) + .downcast_ref::>() + .and_then(|m| m.merge_result()) + .unwrap_or_default(); + + self.track_write_version(merge_result.version); + return Ok(merge_result); + } + Err(err) if rescannable && self.is_retryable_write_error(&err) => { + retry_counter.increment_from_error(err)?; + tokio::time::sleep(retry_counter.next_sleep_time()).await; + merge = merge.reset_state()?; + continue; + } + Err(err) => return Err(err), } } - - let (request_id, response) = self.send_streaming(request, new_data, true).await?; - - let response = self.check_table_response(&request_id, response).await?; - let body = response.text().await.err_to_http(request_id.clone())?; - - if body.trim().is_empty() { - // Backward compatible with old servers - return Ok(MergeResult { - version: 0, - num_deleted_rows: 0, - num_inserted_rows: 0, - num_updated_rows: 0, - num_attempts: 0, - num_rows: 0, - }); - } - - let merge_insert_response: MergeResult = - serde_json::from_str(&body).map_err(|e| Error::Http { - source: format!("Failed to parse merge_insert response: {}", e).into(), - request_id, - status_code: None, - })?; - - self.track_write_version(merge_insert_response.version); - Ok(merge_insert_response) } async fn set_unenforced_primary_key(&self, _columns: &[&str]) -> Result<()> { @@ -2824,20 +2926,20 @@ impl BaseTable for RemoteTable { write_params: lance::dataset::WriteParams, ) -> Result> { let overwrite = matches!(write_params.mode, lance::dataset::WriteMode::Overwrite); - Ok(Arc::new(insert::RemoteInsertExec::new( + Ok(Arc::new(insert::RemoteWriteExec::new( self.name.clone(), self.identifier.clone(), self.client.clone(), input, - overwrite, + WriteOp::Insert { overwrite }, None, self.branch.clone(), ))) } } -#[derive(Serialize)] -struct MergeInsertRequest { +#[derive(Serialize, Clone, Debug)] +pub struct MergeInsertRequest { on: String, when_matched_update_all: bool, when_matched_update_all_filt: Option, @@ -2921,7 +3023,9 @@ mod tests { use crate::table::{AddDataMode, FieldMetadataUpdate, FtsToken}; use arrow::{array::AsArray, compute::concat_batches, datatypes::Int32Type}; - use arrow_array::{Int32Array, RecordBatch, RecordBatchIterator, record_batch}; + use arrow_array::Array; + use arrow_array::builder::LargeBinaryBuilder; + use arrow_array::{BinaryArray, Int32Array, RecordBatch, RecordBatchIterator, record_batch}; use arrow_schema::{DataType, Field, Schema}; use chrono::{DateTime, Utc}; use futures::{StreamExt, TryFutureExt, future::BoxFuture}; @@ -2945,7 +3049,6 @@ mod tests { AnalyzePlanDistributedMetrics, ColumnOrdering, ExecutableQuery, QueryBase, QueryExecutionOptions, }, - remote::ARROW_FILE_CONTENT_TYPE, }; #[tokio::test] @@ -3127,6 +3230,17 @@ mod tests { body } + fn write_ipc_stream_uncompressed(data: &RecordBatch) -> Vec { + let mut body = Vec::new(); + { + let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut body, &data.schema()) + .expect("Failed to create writer"); + writer.write(data).expect("Failed to write data"); + writer.finish().expect("Failed to finish"); + } + body + } + fn write_ipc_file(data: &RecordBatch) -> Vec { let mut body = Vec::new(); { @@ -3798,6 +3912,503 @@ mod tests { assert_eq!(data[0].as_ref().unwrap(), &expected_data); } + fn blob_describe_response() -> http::Response { + let schema = Schema::new(vec![ + Field::new("id", DataType::Int64, false), + crate::blob("image", true), + Field::new("caption", DataType::Utf8, true), + crate::blob("thumbnail", true), + ]); + let json_schema = JsonSchema::try_from(&schema).unwrap(); + http::Response::builder() + .status(200) + .body(serde_json::json!({ "version": 1, "schema": json_schema }).to_string()) + .unwrap() + } + + #[rstest] + #[case(semver::Version::new(0, 1, 0))] + #[case(semver::Version::new(0, 5, 0))] + #[tokio::test] + async fn test_blob_columns_read_the_schema_on_any_server_version( + #[case] version: semver::Version, + ) { + let table = Table::new_with_handler_version("my_table", version, |request| { + assert_eq!(request.url().path(), "/v1/table/my_table/describe/"); + blob_describe_response() + }); + + let columns = table.blob_columns().await.unwrap(); + assert_eq!(columns, vec!["image".to_string(), "thumbnail".to_string()]); + } + + #[tokio::test] + async fn test_fetch_blobs_decodes_null_aligned_bytes() { + let mut builder = LargeBinaryBuilder::new(); + builder.append_value(b"alpha"); + builder.append_null(); + builder.append_value(b"gamma"); + let blobs = builder.finish(); + let expected = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + "image", + DataType::LargeBinary, + true, + )])), + vec![Arc::new(blobs)], + ) + .unwrap(); + let expected_ref = expected.clone(); + + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| { + assert_eq!(request.method(), "POST"); + assert_eq!(request.url().path(), "/v1/table/my_table/fetch_blobs/"); + let body: serde_json::Value = + serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap(); + assert_eq!(body["column"], "image"); + assert_eq!(body["row_ids"], serde_json::json!([10, 20, 30])); + + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE) + .body(write_ipc_stream_uncompressed(&expected_ref)) + .unwrap() + }, + ); + + let blobs = table.fetch_blobs("image", &[10, 20, 30]).await.unwrap(); + assert_eq!(blobs.len(), 3); + assert_eq!(blobs.value(0), b"alpha"); + assert!(blobs.is_null(1)); + assert_eq!(blobs.value(2), b"gamma"); + } + + #[tokio::test] + async fn test_fetch_blobs_concatenates_multiple_batches() { + let schema = Arc::new(Schema::new(vec![Field::new( + "image", + DataType::LargeBinary, + true, + )])); + + let mut first_builder = LargeBinaryBuilder::new(); + first_builder.append_value(b"alpha"); + first_builder.append_null(); + let first_batch = + RecordBatch::try_new(schema.clone(), vec![Arc::new(first_builder.finish())]).unwrap(); + + let mut second_builder = LargeBinaryBuilder::new(); + second_builder.append_value(b"gamma"); + let second_batch = + RecordBatch::try_new(schema.clone(), vec![Arc::new(second_builder.finish())]).unwrap(); + + let mut body = Vec::new(); + { + let mut writer = arrow_ipc::writer::StreamWriter::try_new(&mut body, &schema).unwrap(); + writer.write(&first_batch).unwrap(); + writer.write(&second_batch).unwrap(); + writer.finish().unwrap(); + } + + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| { + assert_eq!(request.url().path(), "/v1/table/my_table/fetch_blobs/"); + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE) + .body(body.clone()) + .unwrap() + }, + ); + + let blobs = table.fetch_blobs("image", &[10, 20, 30]).await.unwrap(); + assert_eq!(blobs.len(), 3); + assert_eq!(blobs.value(0), b"alpha"); + assert!(blobs.is_null(1)); + assert_eq!(blobs.value(2), b"gamma"); + } + + fn table_with_fetch_blobs_response(body: Vec) -> Table { + table_with_fetch_blobs_content_type(Some(ARROW_STREAM_CONTENT_TYPE), body) + } + + fn table_with_fetch_blobs_content_type( + content_type: Option<&'static str>, + body: Vec, + ) -> Table { + Table::new_with_handler_version("my_table", semver::Version::new(0, 5, 0), move |request| { + assert_eq!(request.url().path(), "/v1/table/my_table/fetch_blobs/"); + let mut response = http::Response::builder().status(200); + if let Some(content_type) = content_type { + response = response.header(CONTENT_TYPE, content_type); + } + response.body(body.clone()).unwrap() + }) + } + + fn one_row_blob_batch(column: &str) -> RecordBatch { + let mut builder = LargeBinaryBuilder::new(); + builder.append_value(b"alpha"); + RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + column, + DataType::LargeBinary, + true, + )])), + vec![Arc::new(builder.finish())], + ) + .unwrap() + } + + fn one_row_blob_ipc_stream(column: &str) -> Vec { + write_ipc_stream_uncompressed(&one_row_blob_batch(column)) + } + + #[tokio::test] + async fn test_fetch_blobs_sends_the_checked_out_version() { + let ipc = one_row_blob_ipc_stream("image"); + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| match request.url().path() { + "/v1/table/my_table/describe/" => http::Response::builder() + .status(200) + .body(br#"{"version": 42, "schema": {"fields": []}}"#.to_vec()) + .unwrap(), + "/v1/table/my_table/fetch_blobs/" => { + let body = request_body_json(&request); + assert_eq!( + body["version"], 42, + "blob reads must use the same snapshot as the query" + ); + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE) + .body(ipc.clone()) + .unwrap() + } + path => panic!("unexpected request path: {path}"), + }, + ); + + table.checkout(42).await.unwrap(); + + assert_eq!(table.fetch_blobs("image", &[10]).await.unwrap().len(), 1); + } + + #[tokio::test] + async fn test_fetch_blobs_sends_the_checked_out_branch() { + use lance::dataset::refs::Ref; + let ipc = one_row_blob_ipc_stream("image"); + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| match request.url().path() { + "/v1/table/my_table/branches/create/" => http::Response::builder() + .status(200) + .body(b"{}".to_vec()) + .unwrap(), + "/v1/table/my_table/fetch_blobs/" => { + let body = request_body_json(&request); + assert_eq!(body["branch"], "exp", "blob reads must stay on the branch"); + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE) + .body(ipc.clone()) + .unwrap() + } + path => panic!("unexpected request path: {path}"), + }, + ); + + let branch = table + .create_branch("exp", Ref::Version(None, None)) + .await + .unwrap(); + + assert_eq!(branch.fetch_blobs("image", &[10]).await.unwrap().len(), 1); + } + + #[tokio::test] + async fn test_fetch_blobs_sends_a_nested_column_as_a_dotted_path() { + let ipc = one_row_blob_ipc_stream("info.blob"); + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + move |request| { + let body = request_body_json(&request); + assert_eq!(body["column"], "info.blob"); + http::Response::builder() + .status(200) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE) + .body(ipc.clone()) + .unwrap() + }, + ); + + let blobs = table.fetch_blobs("info.blob", &[10]).await.unwrap(); + + assert_eq!(blobs.value(0), b"alpha"); + } + + fn write_empty_ipc_stream(schema: &Schema) -> Vec { + let mut body = Vec::new(); + arrow_ipc::writer::StreamWriter::try_new(&mut body, schema) + .unwrap() + .finish() + .unwrap(); + body + } + + fn assert_fetch_blobs_http_error(error: Error, expected: &str) { + match error { + Error::Http { + source, request_id, .. + } => { + assert!(source.to_string().contains(expected)); + assert!(!request_id.is_empty()); + } + error => panic!("expected HTTP error, got {error}"), + } + } + + fn assert_not_supported_error(error: Error, expected: &str) { + match error { + Error::NotSupported { message } => assert!(message.contains(expected)), + error => panic!("expected not-supported error, got {error}"), + } + } + + #[tokio::test] + async fn test_fetch_blobs_rejects_missing_column() { + let batch = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + "other", + DataType::LargeBinary, + true, + )])), + vec![Arc::new(LargeBinaryArray::from(vec![Some( + b"value".as_slice(), + )]))], + ) + .unwrap(); + let table = table_with_fetch_blobs_response(write_ipc_stream_uncompressed(&batch)); + + let error = table.fetch_blobs("image", &[10]).await.unwrap_err(); + assert_fetch_blobs_http_error(error, "missing the 'image' column"); + } + + #[tokio::test] + async fn test_fetch_blobs_rejects_wrong_column_type() { + let batch = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + "image", + DataType::Int32, + false, + )])), + vec![Arc::new(Int32Array::from(vec![1]))], + ) + .unwrap(); + let table = table_with_fetch_blobs_response(write_ipc_stream_uncompressed(&batch)); + + let error = table.fetch_blobs("image", &[10]).await.unwrap_err(); + assert_fetch_blobs_http_error( + error, + "type Int32, expected Binary, LargeBinary, or BinaryView", + ); + } + + #[rstest] + #[case(DataType::Binary)] + #[case(DataType::LargeBinary)] + #[case(DataType::BinaryView)] + #[tokio::test] + async fn test_fetch_blobs_accepts_binary_large_binary_and_binary_view( + #[case] data_type: DataType, + ) { + let binary_values = BinaryArray::from(vec![ + Some(b"alpha".as_slice()), + None, + Some(b"gamma".as_slice()), + ]); + let typed_column = arrow::compute::cast(&binary_values, &data_type).unwrap(); + let batch = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new("image", data_type, true)])), + vec![typed_column], + ) + .unwrap(); + let table = table_with_fetch_blobs_response(write_ipc_stream_uncompressed(&batch)); + + let blobs = table.fetch_blobs("image", &[10, 20, 30]).await.unwrap(); + assert_eq!(blobs.len(), 3); + assert_eq!(blobs.value(0), b"alpha"); + assert!(blobs.is_null(1)); + assert_eq!(blobs.value(2), b"gamma"); + } + + #[tokio::test] + async fn test_fetch_blobs_rejects_row_count_mismatch() { + let batch = RecordBatch::try_new( + Arc::new(Schema::new(vec![Field::new( + "image", + DataType::LargeBinary, + true, + )])), + vec![Arc::new(LargeBinaryArray::from(vec![Some( + b"value".as_slice(), + )]))], + ) + .unwrap(); + let table = table_with_fetch_blobs_response(write_ipc_stream_uncompressed(&batch)); + + let error = table.fetch_blobs("image", &[10, 20]).await.unwrap_err(); + assert_fetch_blobs_http_error(error, "returned 1 rows for 2 row ids"); + } + + #[tokio::test] + async fn test_fetch_blobs_rejects_zero_batches_for_nonempty_row_ids() { + let schema = Schema::new(vec![Field::new("image", DataType::LargeBinary, true)]); + let table = table_with_fetch_blobs_response(write_empty_ipc_stream(&schema)); + + let error = table.fetch_blobs("image", &[10]).await.unwrap_err(); + assert_fetch_blobs_http_error(error, "returned 0 rows for 1 row ids"); + } + + #[tokio::test] + async fn test_fetch_blobs_skips_the_request_for_empty_row_ids() { + let table = Table::new_with_handler("my_table", |_| -> http::Response { + panic!("fetch_blobs must not call the server for an empty selection"); + }); + + let blobs = table.fetch_blobs("image", &[]).await.unwrap(); + assert!(blobs.is_empty()); + } + + #[tokio::test] + async fn test_blob_byte_apis_not_supported_on_old_server() { + let table = Table::new_with_handler("my_table", |_| -> http::Response { + panic!("blob request must not reach a server without blob support"); + }); + + assert_not_supported_error( + table.fetch_blobs("image", &[1]).await.unwrap_err(), + "fetch_blobs", + ); + + let message = table + .fetch_blob_files("image", &[1]) + .await + .unwrap_err() + .to_string(); + assert!( + message.contains("fetch_blob_files is not supported on LanceDB Cloud"), + "got: {message}" + ); + assert!( + !message.contains("Use fetch_blobs"), + "old server must not be told to use fetch_blobs, got: {message}" + ); + } + + #[tokio::test] + async fn test_blob_files_point_at_fetch_blobs_on_a_blob_capable_server() { + let table = Table::new_with_handler_version( + "my_table", + semver::Version::new(0, 5, 0), + |_| -> http::Response { panic!("fetch_blob_files must not reach the server") }, + ); + + assert_not_supported_error( + table.fetch_blob_files("image", &[1]).await.unwrap_err(), + "Use fetch_blobs for full bytes", + ); + } + + #[rstest] + #[case(ARROW_STREAM_CONTENT_TYPE)] + #[case("application/vnd.apache.arrow.stream; charset=utf-8")] + #[case("APPLICATION/VND.APACHE.ARROW.STREAM")] + #[tokio::test] + async fn test_fetch_blobs_accepts_stream_content_type_variants( + #[case] content_type: &'static str, + ) { + let table = table_with_fetch_blobs_content_type( + Some(content_type), + write_ipc_stream_uncompressed(&one_row_blob_batch("image")), + ); + + let blobs = table.fetch_blobs("image", &[10]).await.unwrap(); + + assert_eq!(blobs.value(0), b"alpha"); + } + + // Shared decoder accepts file framing because /query still returns it. + // fetch_blobs wire contract is stream. Enforced on the server. + #[rstest] + #[case(ARROW_FILE_CONTENT_TYPE)] + #[case("application/vnd.apache.arrow.file; charset=utf-8")] + #[case("APPLICATION/VND.APACHE.ARROW.FILE")] + #[tokio::test] + async fn test_fetch_blobs_accepts_file_content_type_variants( + #[case] content_type: &'static str, + ) { + let table = table_with_fetch_blobs_content_type( + Some(content_type), + write_ipc_file(&one_row_blob_batch("image")), + ); + + let blobs = table.fetch_blobs("image", &[10]).await.unwrap(); + + assert_eq!(blobs.value(0), b"alpha"); + } + + #[rstest] + #[case(ARROW_STREAM_CONTENT_TYPE, write_ipc_file(&one_row_blob_batch("image")))] + #[case( + ARROW_FILE_CONTENT_TYPE, + write_ipc_stream_uncompressed(&one_row_blob_batch("image")) + )] + #[tokio::test] + async fn test_fetch_blobs_fails_when_the_body_contradicts_the_content_type( + #[case] content_type: &'static str, + #[case] body: Vec, + ) { + let table = table_with_fetch_blobs_content_type(Some(content_type), body); + + let error = table.fetch_blobs("image", &[10]).await.unwrap_err(); + + assert!( + matches!(error, Error::Arrow { .. }), + "expected an Arrow decode failure, got {error}" + ); + } + + #[tokio::test] + async fn test_fetch_blobs_rejects_a_response_that_is_not_arrow_ipc() { + let table = table_with_fetch_blobs_content_type( + Some("application/json"), + br#"{"blobs": []}"#.to_vec(), + ); + + let error = table.fetch_blobs("image", &[10]).await.unwrap_err(); + assert_fetch_blobs_http_error(error, "got 'application/json'"); + } + + #[tokio::test] + async fn test_fetch_blobs_without_content_type_falls_back_to_file_framing() { + let table = + table_with_fetch_blobs_content_type(None, write_ipc_file(&one_row_blob_batch("image"))); + + let blobs = table.fetch_blobs("image", &[10]).await.unwrap(); + + assert_eq!(blobs.value(0), b"alpha"); + } + #[tokio::test] async fn test_query_vector_default_values() { let expected_data = RecordBatch::try_new( @@ -4515,6 +5126,19 @@ mod tests { }, Index::FTS(InvertedIndexParams::default().block_size(256).unwrap()), ), + ( + "FTS", + { + let mut body = serde_json::to_value(InvertedIndexParams::default()).unwrap(); + body["custom_stop_words"] = json!(["cat", " cat ", "CAT"]); + body + }, + Index::FTS(InvertedIndexParams::default().custom_stop_words(Some(vec![ + "cat".to_string(), + " cat ".to_string(), + "CAT".to_string(), + ]))), + ), ]; for (index_type, expected_body, index) in cases { @@ -4554,6 +5178,224 @@ mod tests { } } + #[tokio::test] + async fn test_create_index_returns_job() { + let describe_calls = std::sync::Arc::new(std::sync::atomic::AtomicUsize::new(0)); + let describe_calls_in_handler = describe_calls.clone(); + let table = Table::new_with_handler("my_table", move |request| { + assert_eq!(request.method(), "POST"); + match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-123"}"#.to_string()) + .unwrap(), + "/v1/jobs/describe" => { + let body = request.body().unwrap().as_bytes().unwrap(); + let body: serde_json::Value = serde_json::from_slice(body).unwrap(); + assert_eq!(body["job_id"], "job-123"); + let state = if describe_calls_in_handler + .fetch_add(1, std::sync::atomic::Ordering::SeqCst) + == 0 + { + "IN_PROGRESS" + } else { + "DONE" + }; + http::Response::builder() + .status(200) + .body(format!( + r#"{{"job_id": "job-123", "job_state": "{state}"}}"# + )) + .unwrap() + } + "/v1/jobs/cancel" => { + let body = request.body().unwrap().as_bytes().unwrap(); + let body: serde_json::Value = serde_json::from_slice(body).unwrap(); + assert_eq!(body["job_id"], "job-123"); + http::Response::builder() + .status(200) + .body("{}".to_string()) + .unwrap() + } + path => panic!("Unexpected path: {}", path), + } + }); + + let job = table + .create_index(&["a"], Index::BTree(Default::default())) + .execute_async() + .await + .unwrap(); + assert_eq!(job.id(), Some("job-123")); + job.wait().await.unwrap(); + assert_eq!(describe_calls.load(std::sync::atomic::Ordering::SeqCst), 2); + job.cancel().await.unwrap(); + } + + /// An unrecognized state is treated as still running, so the client keeps + /// polling rather than reporting a wrong terminal outcome. + #[tokio::test] + async fn test_job_wait_treats_unknown_state_as_running() { + let calls = std::sync::Arc::new(std::sync::atomic::AtomicUsize::new(0)); + let calls_in_handler = calls.clone(); + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-unknown"}"#.to_string()) + .unwrap(), + "/v1/jobs/describe" => { + let state = if calls_in_handler + .fetch_add(1, std::sync::atomic::Ordering::SeqCst) + == 0 + { + "SOMETHING_NEW" + } else { + "DONE" + }; + http::Response::builder() + .status(200) + .body(format!( + r#"{{"job_id": "job-unknown", "job_state": "{state}"}}"# + )) + .unwrap() + } + path => panic!("Unexpected path: {}", path), + }); + + let job = table + .create_index(&["a"], Index::BTree(Default::default())) + .execute_async() + .await + .unwrap(); + job.wait().await.unwrap(); + assert_eq!(calls.load(std::sync::atomic::Ordering::SeqCst), 2); + } + + #[tokio::test] + async fn test_job_wait_surfaces_failure() { + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-err"}"#.to_string()) + .unwrap(), + "/v1/jobs/describe" => http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-err", "job_state": "FAILED"}"#.to_string()) + .unwrap(), + path => panic!("Unexpected path: {}", path), + }); + + let job = table + .create_index(&["a"], Index::BTree(Default::default())) + .execute_async() + .await + .unwrap(); + let err = job.wait().await.unwrap_err(); + let crate::Error::JobFailed { failure, .. } = &err else { + panic!("expected JobFailed, got {err:?}"); + }; + // The server said only that it failed, so nothing may be invented. + assert!(failure.message.is_none(), "{failure:?}"); + assert!(failure.phase.is_none(), "{failure:?}"); + assert!(failure.retryable.is_none(), "{failure:?}"); + assert_eq!(err.to_string(), "Job job-err failed"); + } + + /// A server that reports why the job failed has that reason surfaced + /// verbatim rather than replaced with a generic message. + #[tokio::test] + async fn test_job_wait_reports_the_server_failure_reason() { + let table = Table::new_with_handler("my_table", move |request| { + match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => http::Response::builder() + .status(200) + .body(r#"{"job_id": "job-err"}"#.to_string()) + .unwrap(), + "/v1/jobs/describe" => http::Response::builder() + .status(200) + .body( + r#"{"job_id": "job-err", "job_state": "FAILED", "failure": {"phase": "commit", "message": "preempted", "retryable": true}}"# + .to_string(), + ) + .unwrap(), + path => panic!("Unexpected path: {}", path), + } + }); + + let job = table + .create_index(&["a"], Index::BTree(Default::default())) + .execute_async() + .await + .unwrap(); + let err = job.wait().await.unwrap_err(); + let crate::Error::JobFailed { failure, .. } = &err else { + panic!("expected JobFailed, got {err:?}"); + }; + assert_eq!(failure.message.as_deref(), Some("preempted")); + assert_eq!(failure.phase.as_deref(), Some("commit")); + assert_eq!(failure.retryable, Some(true)); + assert_eq!(err.to_string(), "Job job-err failed: preempted (in commit)"); + } + + /// Servers that return no job id (e.g. an empty create-index response) + /// yield an already-done job. + #[tokio::test] + async fn test_create_index_without_job_id_is_done() { + let table = + Table::new_with_handler("my_table", move |request| match request.url().path() { + "/v1/table/my_table/describe/" => { + let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]); + http::Response::builder() + .status(200) + .body(describe_response(&schema)) + .unwrap() + } + "/v1/table/my_table/create_index/" => http::Response::builder() + .status(200) + .body("{}".to_string()) + .unwrap(), + path => panic!("Unexpected path: {}", path), + }); + + let job = table + .create_index(&["a"], Index::BTree(Default::default())) + .execute_async() + .await + .unwrap(); + job.wait().await.unwrap(); + job.cancel().await.unwrap(); + } + #[tokio::test] async fn test_create_index_nested_field_paths() { let schema = nested_index_schema(); @@ -5046,8 +5888,9 @@ mod tests { "max_token_length": 40, "lower_case": true, "stem": false, - "remove_stop_words": false, + "remove_stop_words": true, "ascii_folding": true, + "custom_stop_words": ["hello"], }) .to_string(); let table = Table::new_with_handler("my_table", move |request| { @@ -5085,10 +5928,6 @@ mod tests { assert_eq!( tokens, vec![ - FtsToken { - text: "hello".to_string(), - position: 0, - }, FtsToken { text: "こんにちは".to_string(), position: 1, @@ -5246,6 +6085,56 @@ mod tests { // assert_eq!(versions, expected); } + /// Namespace-backed servers report `timestamp_millis` instead of + /// `timestamp`, and may omit `metadata` entirely. + #[tokio::test] + async fn test_list_versions_timestamp_millis() { + let table = Table::new_with_handler("my_table", |request| { + assert_eq!(request.method(), "POST"); + assert_eq!(request.url().path(), "/v1/table/my_table/version/list/"); + + let response_body = serde_json::json!({ + "versions": [ + { + "version": 1, + "manifest_path": "path/to/_versions/1.manifest", + "timestamp_millis": 1704067200000i64, + }, + { + "version": 2, + "manifest_path": "path/to/_versions/2.manifest", + "timestamp_millis": 1706745600000i64, + "metadata": {"key": "value"}, + }, + ] + }); + let response_body = serde_json::to_string(&response_body).unwrap(); + + http::Response::builder() + .status(200) + .body(response_body) + .unwrap() + }); + + let versions = table.list_versions().await.unwrap(); + assert_eq!(versions.len(), 2); + assert_eq!(versions[0].version, 1); + assert_eq!( + versions[0].timestamp, + "2024-01-01T00:00:00Z".parse::>().unwrap() + ); + assert!(versions[0].metadata.is_empty()); + assert_eq!(versions[1].version, 2); + assert_eq!( + versions[1].timestamp, + "2024-02-01T00:00:00Z".parse::>().unwrap() + ); + assert_eq!( + versions[1].metadata.get("key").map(String::as_str), + Some("value") + ); + } + #[tokio::test] async fn test_index_stats() { let table = Table::new_with_handler("my_table", |request| { diff --git a/rust/lancedb/src/remote/table/blobs.rs b/rust/lancedb/src/remote/table/blobs.rs new file mode 100644 index 000000000..550f72a4b --- /dev/null +++ b/rust/lancedb/src/remote/table/blobs.rs @@ -0,0 +1,127 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +//! Cloud blob column listing and whole-byte fetch. + +use std::sync::Arc; + +use arrow_array::{Array, LargeBinaryArray}; +use arrow_schema::DataType; +use futures::TryStreamExt; + +use crate::Error; +use crate::blob::BlobFile; +use crate::error::Result; +use crate::remote::client::HttpSend; +use crate::table::BaseTable; + +use super::RemoteTable; + +impl RemoteTable { + /// Blob v2 columns are marked in field metadata, which `describe` returns. Reading + /// them from the cached schema needs no route of its own and no version gate. + pub(super) async fn blob_columns_impl(&self) -> Result> { + let schema = self.schema().await?; + Ok(crate::blob::blob_column_names(schema.as_ref())) + } + + pub(super) async fn fetch_blobs_impl( + &self, + column: &str, + row_ids: &[u64], + ) -> Result { + // An empty selection already has its answer, so skip the round trip and the + // server requirement entirely. Local fetch_blobs returns early the same way. + if row_ids.is_empty() { + return Ok(LargeBinaryArray::from(Vec::>::new())); + } + if !self.server_version.support_blobs() { + return Err(Error::NotSupported { + message: "fetch_blobs is not supported on this LanceDB Cloud server".into(), + }); + } + let version = self.current_version().await; + let mut body = serde_json::json!({ + "version": version, + "column": column, + "row_ids": row_ids, + }); + self.apply_branch_body(&mut body); + + let request = self + .post_read(&format!("/v1/table/{}/fetch_blobs/", self.identifier)) + .json(&body); + let (request_id, response) = self.send(request, true).await?; + let mut stream = self.read_arrow_response(&request_id, response).await?; + + let mut blob_chunks: Vec> = Vec::new(); + while let Some(batch) = stream.try_next().await? { + let blob_column = batch.column_by_name(column).ok_or_else(|| Error::Http { + source: format!("fetch_blobs response is missing the '{column}' column").into(), + request_id: request_id.clone(), + status_code: None, + })?; + // The server returns LargeBinary today. Accept the other binary types so a + // server that switches encodings does not break older clients. + if !matches!( + blob_column.data_type(), + DataType::Binary | DataType::LargeBinary | DataType::BinaryView + ) { + return Err(Error::Http { + source: format!( + "fetch_blobs response column has type {}, expected Binary, LargeBinary, or BinaryView", + blob_column.data_type() + ) + .into(), + request_id: request_id.clone(), + status_code: None, + }); + } + blob_chunks.push(arrow::compute::cast(blob_column, &DataType::LargeBinary)?); + } + let blobs = if blob_chunks.is_empty() { + LargeBinaryArray::from(Vec::>::new()) + } else { + let blob_chunk_refs: Vec<&dyn Array> = blob_chunks.iter().map(AsRef::as_ref).collect(); + arrow::compute::concat(&blob_chunk_refs)? + .as_any() + .downcast_ref::() + .ok_or_else(|| Error::Http { + source: "fetch_blobs could not read the concatenated response as LargeBinary" + .into(), + request_id: request_id.clone(), + status_code: None, + })? + .clone() + }; + if blobs.len() != row_ids.len() { + return Err(Error::Http { + source: format!( + "fetch_blobs returned {} rows for {} row ids", + blobs.len(), + row_ids.len() + ) + .into(), + request_id, + status_code: None, + }); + } + Ok(blobs) + } + + pub(super) async fn fetch_blob_files_impl( + &self, + _column: &str, + _row_ids: &[u64], + ) -> Result>> { + let message = if self.server_version.support_blobs() { + "fetch_blob_files is not supported on LanceDB Cloud yet. \ + Use fetch_blobs for full bytes" + } else { + "fetch_blob_files is not supported on LanceDB Cloud" + }; + Err(Error::NotSupported { + message: message.into(), + }) + } +} diff --git a/rust/lancedb/src/remote/table/insert.rs b/rust/lancedb/src/remote/table/insert.rs index 4b0aa5480..a4a28a9c6 100644 --- a/rust/lancedb/src/remote/table/insert.rs +++ b/rust/lancedb/src/remote/table/insert.rs @@ -1,7 +1,8 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -//! DataFusion ExecutionPlan for inserting data into remote LanceDB tables. +//! DataFusion ExecutionPlan for streaming writes (add / merge_insert) to +//! remote LanceDB tables. use std::sync::{Arc, Mutex}; use std::time::{Duration, Instant}; @@ -23,28 +24,57 @@ use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter; use crate::Error; use crate::remote::ARROW_STREAM_CONTENT_TYPE; use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender}; -use crate::remote::table::RemoteTable; -use crate::table::AddResult; +use crate::remote::table::{MergeInsertRequest, REQUEST_TIMEOUT_HEADER, RemoteTable}; use crate::table::datafusion::insert::COUNT_SCHEMA; use crate::table::write_progress::WriteProgressTracker; +use crate::table::{AddResult, MergeResult}; -/// ExecutionPlan for inserting data into a remote LanceDB table. +/// The write operation a [`RemoteWriteExec`] performs. Both variants share the +/// same Arrow-IPC streaming body and error side-channel; only the target +/// endpoint, query parameters, and parsed result type differ. +#[derive(Debug, Clone)] +pub enum WriteOp { + /// `add`: stream to `/v1/table/{id}/insert/`, optionally overwriting. + Insert { overwrite: bool }, + /// `merge_insert`: stream to `/v1/table/{id}/merge_insert/` with the merge + /// parameters carried as query params. Multipart is not supported for this + /// operation (the server has no multipart merge_insert endpoint), so an + /// `upload_id` combined with this op is a programming error. + MergeInsert { + query: MergeInsertRequest, + timeout: Option, + }, +} + +/// The parsed server response for a completed write, discriminated by the +/// operation that produced it. +#[derive(Debug, Clone)] +pub enum WriteResult { + Add(AddResult), + Merge(MergeResult), +} + +/// ExecutionPlan for streaming a write (add or merge_insert) to a remote +/// LanceDB table. /// -/// Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint. +/// Streams data as Arrow IPC to the endpoint selected by [`WriteOp`]. Both +/// operations reuse the same error side-channel so an input stream error (e.g. +/// NaN rejection) surfaces with its original message rather than the masked +/// HTTP error Hyper produces when a request body stream fails under HTTP2. /// /// When `upload_id` is set, inserts are staged as part of a multipart write /// session and the plan supports multiple partitions for parallel uploads. /// Without `upload_id`, the plan requires a single partition and commits -/// immediately. +/// immediately. Multipart applies to `add` only. #[derive(Debug)] -pub struct RemoteInsertExec { +pub struct RemoteWriteExec { table_name: String, identifier: String, client: RestfulLanceDbClient, input: Arc, - overwrite: bool, + op: WriteOp, properties: Arc, - add_result: Arc>>, + result: Arc>>, metrics: ExecutionPlanMetricsSet, upload_id: Option, tracker: Option>, @@ -61,27 +91,28 @@ pub struct RemoteInsertExec { max_request_duration: Option, } -impl RemoteInsertExec { - /// Create a new single-partition RemoteInsertExec. +impl RemoteWriteExec { + /// Create a new single-partition RemoteWriteExec. pub fn new( table_name: String, identifier: String, client: RestfulLanceDbClient, input: Arc, - overwrite: bool, + op: WriteOp, tracker: Option>, branch: Option, ) -> Self { Self::new_inner( - table_name, identifier, client, input, overwrite, None, tracker, branch, None, None, + table_name, identifier, client, input, op, None, tracker, branch, None, None, ) } - /// Create a multi-partition RemoteInsertExec for use with multipart writes. + /// Create a multi-partition RemoteWriteExec for use with multipart writes. /// /// Each partition's insert is staged under the given `upload_id` without /// committing. The caller is responsible for calling the complete (or abort) - /// endpoint after all partitions finish. + /// endpoint after all partitions finish. Multipart is insert-only, so the + /// op is fixed to [`WriteOp::Insert`]. #[allow(clippy::too_many_arguments)] pub fn new_multipart( table_name: String, @@ -100,7 +131,7 @@ impl RemoteInsertExec { identifier, client, input, - overwrite, + WriteOp::Insert { overwrite }, Some(upload_id), tracker, branch, @@ -115,7 +146,7 @@ impl RemoteInsertExec { identifier: String, client: RestfulLanceDbClient, input: Arc, - overwrite: bool, + op: WriteOp, upload_id: Option, tracker: Option>, branch: Option, @@ -140,9 +171,9 @@ impl RemoteInsertExec { identifier, client, input, - overwrite, + op, properties: Arc::new(properties), - add_result: Arc::new(Mutex::new(None)), + result: Arc::new(Mutex::new(None)), metrics: ExecutionPlanMetricsSet::new(), upload_id, tracker, @@ -152,14 +183,30 @@ impl RemoteInsertExec { } } - /// Get the add result after execution. - // TODO: this will be used when we wire this up to Table::add(). - #[allow(dead_code)] + /// Get the add result after execution, if this exec ran an insert. pub fn add_result(&self) -> Option { - self.add_result + match self + .result .lock() .unwrap_or_else(|e| e.into_inner()) .clone() + { + Some(WriteResult::Add(r)) => Some(r), + _ => None, + } + } + + /// Get the merge result after execution, if this exec ran a merge_insert. + pub fn merge_result(&self) -> Option { + match self + .result + .lock() + .unwrap_or_else(|e| e.into_inner()) + .clone() + { + Some(WriteResult::Merge(r)) => Some(r), + _ => None, + } } /// Stream the input into an HTTP body as an Arrow IPC stream, capturing any @@ -464,24 +511,24 @@ impl PartRequestCtx<'_, S> { } } -impl DisplayAs for RemoteInsertExec { +impl DisplayAs for RemoteWriteExec { fn fmt_as(&self, t: DisplayFormatType, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { match t { DisplayFormatType::Default | DisplayFormatType::Verbose => { - write!( - f, - "RemoteInsertExec: table={}, overwrite={}", - self.table_name, self.overwrite - ) + write!(f, "RemoteWriteExec: table={}, op=", self.table_name)?; + match &self.op { + WriteOp::Insert { overwrite } => write!(f, "insert, overwrite={}", overwrite), + WriteOp::MergeInsert { .. } => write!(f, "merge_insert"), + } } DisplayFormatType::TreeRender => { - write!(f, "RemoteInsertExec") + write!(f, "RemoteWriteExec") } } } } -impl ExecutionPlan for RemoteInsertExec { +impl ExecutionPlan for RemoteWriteExec { fn name(&self) -> &str { Self::static_name() } @@ -516,15 +563,18 @@ impl ExecutionPlan for RemoteInsertExec { ) -> DataFusionResult> { if children.len() != 1 { return Err(DataFusionError::Internal( - "RemoteInsertExec requires exactly one child".to_string(), + "RemoteWriteExec requires exactly one child".to_string(), )); } + // Building a fresh exec (with a new, empty `result`) is what makes the + // outer rescannable retry loop work: `reset_state()` clears the captured + // result so a re-execution starts clean. Ok(Arc::new(Self::new_inner( self.table_name.clone(), self.identifier.clone(), self.client.clone(), children[0].clone(), - self.overwrite, + self.op.clone(), self.upload_id.clone(), self.tracker.clone(), self.branch.clone(), @@ -540,11 +590,19 @@ impl ExecutionPlan for RemoteInsertExec { ) -> DataFusionResult { if self.upload_id.is_none() && partition != 0 { return Err(DataFusionError::Internal( - "RemoteInsertExec only supports single partition execution without upload_id" + "RemoteWriteExec only supports single partition execution without upload_id" .to_string(), )); } + // Multipart is insert-only: the server has no multipart merge_insert + // endpoint, so a merge_insert with an upload_id is a programming error. + if self.upload_id.is_some() && matches!(self.op, WriteOp::MergeInsert { .. }) { + return Err(DataFusionError::Internal( + "merge_insert does not support multipart (upload_id) writes".to_string(), + )); + } + let input_stream = self.input.execute(partition, context)?; let input_schema = input_stream.schema(); let input_stream: SendableRecordBatchStream = @@ -556,8 +614,8 @@ impl ExecutionPlan for RemoteInsertExec { )); let client = self.client.clone(); let identifier = self.identifier.clone(); - let overwrite = self.overwrite; - let add_result = self.add_result.clone(); + let op = self.op.clone(); + let result_slot = self.result.clone(); let table_name = self.table_name.clone(); let upload_id = self.upload_id.clone(); let tracker = self.tracker.clone(); @@ -568,10 +626,12 @@ impl ExecutionPlan for RemoteInsertExec { let stream = futures::stream::once(async move { // Multipart writes with a byte budget split the partition into // several bounded, still-streamed requests so no single request - // stays open long enough to hit the client read timeout. + // stays open long enough to hit the client read timeout. This path + // is insert-only (guarded above). if let (Some(upload_id), Some(max_bytes)) = (upload_id.as_deref(), max_bytes_per_request) { + let overwrite = matches!(op, WriteOp::Insert { overwrite: true }); let ctx = PartRequestCtx { client: &client, identifier: &identifier, @@ -592,16 +652,36 @@ impl ExecutionPlan for RemoteInsertExec { )?); } - let mut request = client - .post(&format!("/v1/table/{}/insert/", identifier)) - .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE); + // Build the request for the selected operation. Both endpoints take + // an Arrow-IPC streaming body and reuse the same error side-channel. + let mut request = match &op { + WriteOp::Insert { overwrite } => { + let mut request = client + .post(&format!("/v1/table/{}/insert/", identifier)) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE); + if *overwrite { + request = request.query(&[("mode", "overwrite")]); + } + if let Some(ref uid) = upload_id { + request = request.query(&[("upload_id", uid.as_str())]); + } + request + } + WriteOp::MergeInsert { query, timeout } => { + let mut request = client + .post(&format!("/v1/table/{}/merge_insert/", identifier)) + .query(query) + .header(CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE); + if let Some(timeout) = timeout { + // (If it doesn't fit into u64, it's not worth sending anyways.) + if let Ok(timeout_ms) = u64::try_from(timeout.as_millis()) { + request = request.header(REQUEST_TIMEOUT_HEADER, timeout_ms); + } + } + request + } + }; - if overwrite { - request = request.query(&[("mode", "overwrite")]); - } - if let Some(ref uid) = upload_id { - request = request.query(&[("upload_id", uid.as_str())]); - } if let Some(ref b) = branch { request = request.query(&[("branch", b.as_str())]); } @@ -635,6 +715,8 @@ impl ExecutionPlan for RemoteInsertExec { // If the request failed due to an input stream error, surface the // original error (e.g. NaN rejection) instead of the HTTP error. + // This is the crux of the #2339 fix: Hyper silently swallows body + // stream errors under HTTP2, so we recover the original here. if let Ok(stream_err) = error_rx.try_recv() { return Err(stream_err); } @@ -642,7 +724,7 @@ impl ExecutionPlan for RemoteInsertExec { let (request_id, response) = result?; // For multipart writes, the staging response is not the final - // version. Only parse AddResult for non-multipart inserts. + // version. Only parse the result for non-multipart writes. if upload_id.is_none() { let body_text = response.text().await.map_err(|e| { DataFusionError::External(Box::new(Error::Http { @@ -652,21 +734,44 @@ impl ExecutionPlan for RemoteInsertExec { })) })?; - let parsed_result = if body_text.trim().is_empty() { - // Backward compatible with old servers - AddResult { version: 0 } - } else { - serde_json::from_str(&body_text).map_err(|e| { - DataFusionError::External(Box::new(Error::Http { - source: format!("Failed to parse add response: {}", e).into(), - request_id: request_id.clone(), - status_code: None, - })) - })? + let parsed_result = match &op { + WriteOp::Insert { .. } => { + let add = if body_text.trim().is_empty() { + // Backward compatible with old servers + AddResult { version: 0 } + } else { + serde_json::from_str(&body_text).map_err(|e| { + DataFusionError::External(Box::new(Error::Http { + source: format!("Failed to parse add response: {}", e).into(), + request_id: request_id.clone(), + status_code: None, + })) + })? + }; + WriteResult::Add(add) + } + WriteOp::MergeInsert { .. } => { + let merge = if body_text.trim().is_empty() { + // Backward compatible with old servers + MergeResult::default() + } else { + serde_json::from_str(&body_text).map_err(|e| { + DataFusionError::External(Box::new(Error::Http { + source: format!("Failed to parse merge_insert response: {}", e) + .into(), + request_id: request_id.clone(), + status_code: None, + })) + })? + }; + WriteResult::Merge(merge) + } }; - let mut res_lock = add_result.lock().map_err(|_| { - DataFusionError::Execution("Failed to acquire lock for add_result".to_string()) + let mut res_lock = result_slot.lock().map_err(|_| { + DataFusionError::Execution( + "Failed to acquire lock for write result".to_string(), + ) })?; *res_lock = Some(parsed_result); } else { @@ -680,7 +785,7 @@ impl ExecutionPlan for RemoteInsertExec { })?; } - // Return a single batch with count 0 (actual count is tracked in add_result) + // Return a single batch with count 0 (actual count is tracked in result) let count_array: ArrayRef = Arc::new(UInt64Array::from(vec![0u64])); let batch = RecordBatch::try_new(COUNT_SCHEMA.clone(), vec![count_array])?; Ok::<_, DataFusionError>(batch) @@ -711,9 +816,11 @@ mod tests { use std::sync::atomic::{AtomicUsize, Ordering}; use std::sync::{Arc, Mutex}; - use super::RemoteInsertExec; + use super::RemoteWriteExec; + use super::WriteOp; use crate::Table; use crate::remote::ARROW_STREAM_CONTENT_TYPE; + use crate::remote::table::MergeInsertRequest; use crate::table::datafusion::BaseTableAdapter; fn schema_json() -> &'static str { @@ -1028,7 +1135,7 @@ mod tests { let input = input_plan_from_batches(schema, batches).await; // A 1-byte budget forces every batch into its own part. - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1068,7 +1175,7 @@ mod tests { // A large byte budget and no time limit keep the whole partition in a // single part. - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1109,7 +1216,7 @@ mod tests { // A large byte budget but a tiny duration budget: writing and sending // one batch already takes longer than the limit, so each batch is cut // into its own part on the time check rather than the byte check. - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1144,7 +1251,7 @@ mod tests { // write relies on another partition having data to commit. let input = input_plan_from_batches(schema, vec![]).await; - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1184,7 +1291,7 @@ mod tests { let input = input_plan_from_batches(schema, batches).await; // A 1-byte budget forces every batch into its own part. - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1233,7 +1340,7 @@ mod tests { ]; let input = input_plan_from_partitions(schema, partitions).await; - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1267,7 +1374,7 @@ mod tests { // A large byte budget keeps the good batch and the following error in // the same part, exercising the mid-part abort path. let input: Arc = Arc::new(ErroringExec::new()); - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, @@ -1297,6 +1404,66 @@ mod tests { ); } + #[tokio::test] + async fn test_merge_insert_input_error_surfaces_original() { + // Regression test for #2339 on the single-request merge_insert path. + // When the input stream errors mid-body, Hyper masks it under HTTP2 as a + // generic "stream error sent by user" message. The error side-channel + // must recover and surface the original DataFusion error instead. + use futures::StreamExt; + + let client = crate::remote::client::test_utils::client_with_handler(|request| { + assert_eq!(request.url().path(), "/v1/table/my_table/merge_insert/"); + http::Response::builder() + .status(200) + .body( + r#"{"version": 2, "num_updated_rows": 0, "num_inserted_rows": 0, "num_deleted_rows": 0}"# + .to_string(), + ) + .unwrap() + }); + + let query = MergeInsertRequest { + on: "id".to_string(), + when_matched_update_all: false, + when_matched_update_all_filt: None, + when_not_matched_insert_all: false, + when_not_matched_by_source_delete: false, + when_not_matched_by_source_delete_filt: None, + use_index: true, + use_lsm: None, + }; + + let input: Arc = Arc::new(ErroringExec::new()); + let exec = RemoteWriteExec::new( + "my_table".to_string(), + "my_table".to_string(), + client, + input, + WriteOp::MergeInsert { + query, + timeout: None, + }, + None, + None, + ); + + let mut stream = exec.execute(0, Arc::new(TaskContext::default())).unwrap(); + let mut err = None; + while let Some(item) = stream.next().await { + if let Err(e) = item { + err = Some(e); + break; + } + } + + let err = err.expect("expected the input stream error to surface"); + assert!( + err.to_string().contains("boom"), + "expected original input error, got: {err}" + ); + } + #[tokio::test] async fn test_multipart_records_progress_within_a_part() { use crate::table::write_progress::{ProgressCallback, WriteProgress, WriteProgressTracker}; @@ -1327,7 +1494,7 @@ mod tests { // A large byte budget keeps all three batches in one part; smooth // progress therefore requires bytes to be reported per chunk rather than // once when the part completes. - let exec = RemoteInsertExec::new_multipart( + let exec = RemoteWriteExec::new_multipart( "my_table".to_string(), "my_table".to_string(), client, diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index 1f7b2f75b..1c9d68f4c 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -21,6 +21,7 @@ use lance::dataset::WriteMode; use lance::dataset::builder::DatasetBuilder; use lance::dataset::{InsertBuilder, WriteParams}; use lance::index::DatasetIndexExt; +use lance::index::scalar::load_segment_params; use lance::io::{ObjectStoreParams, WrappingObjectStore}; use lance_datafusion::utils::StreamingWriteSource; use lance_index::IndexCriteria; @@ -46,14 +47,17 @@ use std::sync::Arc; use crate::connection::NamespaceClientPushdownOperation; use crate::DistanceType; +use crate::blob::BlobRangeRequest; use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitions}; use crate::database::Database; +use crate::database::listing::LANCE_FILE_EXTENSION; use crate::database::read_freshness::TableFreshness; use crate::embeddings::{EmbeddingDefinition, EmbeddingRegistry, MemoryRegistry}; use crate::error::{Error, Result}; use crate::index::IndexStatistics; use crate::index::{Index, IndexBuilder}; use crate::index::{IndexConfig, IndexStatisticsImpl, IndexType}; +use crate::job::Job; use crate::query::{IntoQueryVector, Query, QueryExecutionOptions, TakeQuery, VectorQuery}; use crate::table::datafusion::insert::InsertExec; use crate::utils::{PatchReadParam, PatchWriteParam, resolve_arrow_field_path}; @@ -144,6 +148,55 @@ pub(crate) fn map_namespace_lance_error(err: lance::Error, table_name: &str) -> } } +/// Map a `lance::Error::DatasetNotFound` for the table at `uri` into a `lancedb::Error`. +/// +/// Lance reports "there is nothing at this location" and "there is a table directory +/// here but nothing loadable inside it" with the same error. Only the first is a +/// `TableNotFound`: a `.lance` directory left behind by an interrupted drop and +/// re-create is still reported by `Connection::table_names`, so callers need to be able +/// to tell "never existed" from "exists but is broken". +/// +/// See . +async fn map_dataset_not_found( + uri: &str, + name: &str, + params: ReadParams, + err: lance::Error, +) -> Error { + let name = name.to_string(); + let source = Box::new(err); + if table_dir_exists(uri, params).await.unwrap_or(false) { + Error::TableCorrupted { name, source } + } else { + Error::TableNotFound { name, source } + } +} + +/// Whether a table directory is present at `uri`, even though no dataset could be +/// loaded from it. +/// +/// This looks for a `.lance` entry in the parent directory, which is exactly what +/// `ListingDatabase::table_names` lists, so the two APIs agree on whether a table is +/// present. Probing `uri` itself would not work: object stores have no empty +/// directories to probe, and on a local filesystem the interesting case is precisely an +/// empty directory. +async fn table_dir_exists(uri: &str, params: ReadParams) -> Result { + let (object_store, path, _) = DatasetBuilder::from_uri(uri) + .with_read_params(params) + .build_object_store() + .await?; + // Only `*.lance` entries are ever reported as tables, so nothing else can produce + // the list-then-open mismatch this guards against. + if path.extension() != Some(LANCE_FILE_EXTENSION) { + return Ok(false); + } + let (Some(parent), Some(dir_name)) = (path.parent(), path.filename()) else { + return Ok(false); + }; + let entries = object_store.read_dir(parent).await?; + Ok(entries.iter().any(|entry| entry.as_str() == dir_name)) +} + /// Defines the type of column #[derive(Debug, Clone, Serialize, Deserialize)] pub enum ColumnKind { @@ -561,6 +614,9 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { async fn update(&self, update: UpdateBuilder) -> Result; /// Create an index on the provided column(s). async fn create_index(&self, index: IndexBuilder) -> Result<()>; + + /// Starts index creation, returning a handle to the resulting job. + async fn create_index_async(&self, index: IndexBuilder) -> Result; /// List the indices on the table. async fn list_indices(&self) -> Result>; /// Drop an index from the table. @@ -646,6 +702,16 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { message: "fetch_blobs is not supported on this table type".into(), }) } + /// Materialize blob-local ranges. See [`Table::fetch_blob_ranges`]. + async fn fetch_blob_ranges( + &self, + _column: &str, + _requests: &[BlobRangeRequest], + ) -> Result { + Err(Error::NotSupported { + message: "fetch_blob_ranges is not supported on this table type".into(), + }) + } /// Open lazy blob handles for the given row ids. See [`Table::fetch_blob_files`]. async fn fetch_blob_files( &self, @@ -1019,8 +1085,9 @@ impl Table { /// Materialize blob bytes for the given row ids. /// - /// Output matches `row_ids` in length and order. Null and zero-length rows - /// are null. Prefer [`Self::fetch_blob_files`] for large selections. + /// Output matches `row_ids` in length and order. Null blobs are null; + /// valid empty blobs contain empty byte strings. Prefer + /// [`Self::fetch_blob_files`] for large selections. /// /// ``` /// use arrow_array::UInt64Array; @@ -1055,6 +1122,47 @@ impl Table { self.inner.fetch_blobs(column.as_ref(), row_ids).await } + /// Materialize row-specific ranges from a blob v2 column. + /// + /// Each request contains a row id and a blob-local offset and length. + /// Requests may be duplicated or reordered, including multiple + /// ranges for the same blob. The output has the same length and order as + /// the requests. Null blobs produce null output slots; empty ranges on + /// non-null blobs produce empty byte strings. + /// + /// ``` + /// use lancedb::blob::BlobRangeRequest; + /// + /// # use lancedb::Table; + /// # async fn read_ranges(table: &Table, row_id: u64) -> Result<(), Box> { + /// let ranges = table + /// .fetch_blob_ranges( + /// "image", + /// [ + /// BlobRangeRequest::new(row_id, 0, 1024), + /// BlobRangeRequest::new(row_id, 4096, 1024), + /// ], + /// ) + /// .await?; + /// # let _ = ranges; + /// # Ok(()) + /// # } + /// ``` + /// + /// Returns an error when a range is invalid, a requested row id does not + /// exist, or the column is not a blob v2 column. Returns + /// [`Error::NotSupported`] on table types without blob support. + pub async fn fetch_blob_ranges( + &self, + column: impl AsRef, + requests: impl IntoIterator, + ) -> Result { + let requests = requests.into_iter().collect::>(); + self.inner + .fetch_blob_ranges(column.as_ref(), &requests) + .await + } + /// Open lazy [`BlobFile`] handles for the given row ids. /// /// Same length and order as `row_ids`. Null rows are `None`. Bytes are not @@ -2186,6 +2294,8 @@ impl NativeTable { None => false, }; + // Kept so that a `DatasetNotFound` can be re-checked against storage below. + let recovery_params = params.clone(); let mut builder = DatasetBuilder::from_uri(uri).with_read_params(params); // Set up commit handler when managed_versioning is enabled @@ -2201,13 +2311,13 @@ impl NativeTable { builder = builder.with_commit_handler(commit_handler); } - let dataset = builder.load().await.map_err(|e| match e { - lance::Error::DatasetNotFound { .. } => Error::TableNotFound { - name: name.to_string(), - source: Box::new(e), - }, - e => e.into(), - })?; + let dataset = match builder.load().await { + Ok(dataset) => dataset, + Err(e @ lance::Error::DatasetNotFound { .. }) => { + return Err(map_dataset_not_found(uri, name, recovery_params, e).await); + } + Err(e) => return Err(e.into()), + }; let dataset = DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval); let id = Self::build_id(&namespace, name); @@ -2955,29 +3065,18 @@ impl BaseTable for NativeTable { } async fn create_index(&self, opts: IndexBuilder) -> Result<()> { - if opts.columns.len() != 1 { - return Err(Error::Schema { - message: "Multi-column (composite) indices are not yet supported".to_string(), - }); - } - self.dataset.ensure_mutable()?; - let mut dataset = (*self.dataset.get().await?).clone(); - let (column, field) = Self::resolve_index_field(dataset.schema(), &opts.columns[0])?; + let prepared = self.prepare_index(&opts).await?; + self.build_index(opts, prepared).await + } - let lance_idx_params = self.make_index_params(&field, opts.index.clone()).await?; - let index_type = self.get_index_type_for_field(&field, &opts.index); - let columns = [column.as_str()]; - let mut builder = dataset - .create_index_builder(&columns, index_type, lance_idx_params.as_ref()) - .train(opts.train) - .replace(opts.replace); - - if let Some(name) = opts.name { - builder = builder.name(name); - } - builder.await?; - self.dataset.update(dataset); - Ok(()) + async fn create_index_async(&self, opts: IndexBuilder) -> Result { + // Prepare before spawning so bad input is reported by this call rather + // than only by the job. + let prepared = self.prepare_index(&opts).await?; + let table = self.clone(); + Ok(Job::spawned(tokio::spawn(async move { + table.build_index(opts, prepared).await + }))) } async fn drop_index(&self, index_name: &str) -> Result<()> { @@ -3070,6 +3169,15 @@ impl BaseTable for NativeTable { crate::blob::take_blobs_aligned(&dataset, column, row_ids).await } + async fn fetch_blob_ranges( + &self, + column: &str, + requests: &[BlobRangeRequest], + ) -> Result { + let dataset = self.dataset.get().await?; + crate::blob::take_blob_ranges_aligned(&dataset, column, requests).await + } + async fn fetch_blob_files( &self, column: &str, @@ -3131,10 +3239,9 @@ impl BaseTable for NativeTable { async fn list_indices(&self) -> Result> { let dataset = self.dataset.get().await?; let total_rows = dataset.count_rows(None).await? as u64; - let indices = dataset - .describe_indices(None) - .await? - .into_iter() + let descriptions = dataset.describe_indices(None).await?; + let mut indices: Vec = descriptions + .iter() .filter_map(|idx_desc| { let index_type: crate::index::IndexType = idx_desc .index_type() @@ -3192,6 +3299,31 @@ impl BaseTable for NativeTable { }) }) .collect(); + + for index in indices + .iter_mut() + .filter(|index| index.index_type == crate::index::IndexType::FTS) + { + let Some(description) = descriptions + .iter() + .find(|description| description.name() == index.name) + else { + continue; + }; + let segments = description.segments(); + let Some(segment) = segments.first() else { + continue; + }; + let params = load_segment_params(&dataset, segment).await?; + let details = serde_json::to_string(¶ms).map_err(|source| Error::Other { + message: format!( + "Failed to serialize full text search configuration for index '{}'", + index.name + ), + source: Some(Box::new(source)), + })?; + index.index_details = Some(details); + } Ok(indices) } @@ -3497,6 +3629,103 @@ mod tests { assert!(matches!(table.unwrap_err(), Error::TableNotFound { .. })); } + #[tokio::test] + async fn test_open_not_found_missing_lance_dir() { + let tmp_dir = tempdir().unwrap(); + let dataset_path = tmp_dir.path().join("test.lance"); + + let err = NativeTable::open(dataset_path.to_str().unwrap()) + .await + .unwrap_err(); + assert!( + matches!(&err, Error::TableNotFound { name, .. } if name == "test"), + "got {err:?}" + ); + } + + /// Write a table and then break it, leaving the `.lance` directory in place. + /// + /// `remove_all` reproduces an interrupted drop + re-create (the directory is left + /// empty); otherwise only the manifests are removed, leaving the data files behind. + async fn write_then_corrupt_table(dir: &std::path::Path, remove_all: bool) -> String { + let dataset_path = dir.join("test.lance"); + let uri = dataset_path.to_str().unwrap().to_string(); + + let batch = make_test_batches(); + let reader = RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()); + Dataset::write(reader, &uri, None).await.unwrap(); + + if remove_all { + for entry in std::fs::read_dir(&dataset_path).unwrap() { + let entry = entry.unwrap(); + if entry.file_type().unwrap().is_dir() { + std::fs::remove_dir_all(entry.path()).unwrap(); + } else { + std::fs::remove_file(entry.path()).unwrap(); + } + } + assert_eq!(std::fs::read_dir(&dataset_path).unwrap().count(), 0); + } else { + let versions = dataset_path.join("_versions"); + assert!(versions.is_dir(), "expected manifests under {versions:?}"); + std::fs::remove_dir_all(&versions).unwrap(); + assert!(std::fs::read_dir(&dataset_path).unwrap().count() > 0); + } + + uri + } + + #[tokio::test] + async fn test_open_corrupt_empty_dir() { + let tmp_dir = tempdir().unwrap(); + let uri = write_then_corrupt_table(tmp_dir.path(), true).await; + + let err = NativeTable::open(&uri).await.unwrap_err(); + assert!( + matches!(&err, Error::TableCorrupted { name, .. } if name == "test"), + "got {err:?}" + ); + } + + #[tokio::test] + async fn test_open_corrupt_missing_manifest() { + let tmp_dir = tempdir().unwrap(); + let uri = write_then_corrupt_table(tmp_dir.path(), false).await; + + let err = NativeTable::open(&uri).await.unwrap_err(); + assert!( + matches!(&err, Error::TableCorrupted { name, .. } if name == "test"), + "got {err:?}" + ); + } + + /// A table listed by `table_names()` must not be reported as missing by + /// `open_table()`. See . + #[tokio::test] + async fn test_open_table_corrupt_is_still_listed() { + let tmp_dir = tempdir().unwrap(); + let db = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + + write_then_corrupt_table(tmp_dir.path(), true).await; + + assert_eq!( + db.table_names().execute().await.unwrap(), + vec!["test".to_string()] + ); + let err = db.open_table("test").execute().await.unwrap_err(); + assert!( + matches!(&err, Error::TableCorrupted { name, .. } if name == "test"), + "got {err:?}" + ); + assert!( + err.to_string().contains("exists but could not be loaded"), + "got {err}" + ); + } + #[test] #[cfg(not(windows))] fn test_object_store_path() { @@ -4049,10 +4278,10 @@ mod tests { Box::new(RecordBatchIterator::new(vec![Ok(batch)], schema)) } - // Windows does not support precise sleep durations due to timer resolution limitations. - #[cfg(not(target_os = "windows"))] #[tokio::test] async fn test_read_consistency_interval() { + use crate::utils::background_cache::clock; + let intervals = vec![ None, Some(0), @@ -4079,6 +4308,12 @@ mod tests { let conn2 = conn2.execute().await.unwrap(); let table2 = conn2.open_table("my_table").execute().await.unwrap(); + // Freeze the consistency clock now that `table2` has seeded its cache, so the + // interval only elapses when this test advances it. Otherwise the write and + // count_rows calls below race the real 100ms interval, which a loaded CI + // runner loses. Must come after open_table: creating the cache clears the mock. + clock::pin(); + assert_eq!(table1.count_rows(None).await.unwrap(), 0); assert_eq!(table2.count_rows(None).await.unwrap(), 0); @@ -4096,7 +4331,7 @@ mod tests { } Some(100) => { assert_eq!(table2.count_rows(None).await.unwrap(), 0); - tokio::time::sleep(Duration::from_millis(100)).await; + clock::advance_by(Duration::from_millis(100)); assert_eq!(table2.count_rows(None).await.unwrap(), 1); } _ => unreachable!(), @@ -4498,7 +4733,7 @@ mod tests { .set_lsm_write_spec(LsmWriteSpec::bucket("id", bad)) .await .expect_err("should reject"); - assert!(matches!(err, Error::Lance { .. }), "got {:?}", err); + assert!(matches!(err, Error::InvalidInput { .. }), "got {:?}", err); } // Happy path: install spec; verify MemWAL details record it. diff --git a/rust/lancedb/src/table/create_index.rs b/rust/lancedb/src/table/create_index.rs index 6be9de0e6..144c6dbfb 100644 --- a/rust/lancedb/src/table/create_index.rs +++ b/rust/lancedb/src/table/create_index.rs @@ -21,6 +21,9 @@ use lance_index::vector::pq::PQBuildParams; use lance_index::vector::sq::builder::SQBuildParams; use crate::error::{Error, Result}; + +/// Resolved column, index parameters and index type for one build. +pub(super) type PreparedIndex = (String, Box, IndexType); use crate::index::Index; use crate::index::vector::{VectorIndex, suggested_num_sub_vectors}; use crate::utils::{ @@ -105,6 +108,47 @@ impl NativeTable { } } + /// Resolves the target column and index parameters, erroring on input the + /// build would reject. + pub(super) async fn prepare_index( + &self, + opts: &crate::index::IndexBuilder, + ) -> Result { + if opts.columns.len() != 1 { + return Err(Error::Schema { + message: "Multi-column (composite) indices are not yet supported".to_string(), + }); + } + self.dataset.ensure_mutable()?; + let dataset = self.dataset.get().await?; + let (column, field) = Self::resolve_index_field(dataset.schema(), &opts.columns[0])?; + let params = self.make_index_params(&field, opts.index.clone()).await?; + let index_type = self.get_index_type_for_field(&field, &opts.index); + Ok((column, params, index_type)) + } + + /// Builds a prepared index and publishes the new dataset version. + pub(super) async fn build_index( + &self, + opts: crate::index::IndexBuilder, + prepared: PreparedIndex, + ) -> Result<()> { + let (column, lance_idx_params, index_type) = prepared; + let mut dataset = (*self.dataset.get().await?).clone(); + let columns = [column.as_str()]; + let mut builder = dataset + .create_index_builder(&columns, index_type, lance_idx_params.as_ref()) + .train(opts.train) + .replace(opts.replace); + + if let Some(name) = opts.name { + builder = builder.name(name); + } + builder.await?; + self.dataset.update(dataset); + Ok(()) + } + pub(super) fn resolve_index_field( schema: &lance_core::datatypes::Schema, column: &str, @@ -475,6 +519,208 @@ mod tests { assert_eq!(table.list_indices().await.unwrap().len(), 0); } + #[tokio::test] + async fn test_execute_async_job_waits_for_local_build() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + + let job = table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute_async() + .await + .unwrap(); + // Local jobs run in this process and have no server id. + assert_eq!(job.id(), None); + // The build runs as a task, so the index need not exist yet; it must + // once the job resolves. + job.wait().await.unwrap(); + assert_eq!(table.list_indices().await.unwrap().len(), 1); + // Cancelling a finished job is a no-op. + job.cancel().await.unwrap(); + } + + /// Concurrent waiters, and a wait issued after the job settled, all + /// succeed once the build does. + #[tokio::test] + async fn test_execute_async_job_reports_success_to_every_waiter() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + + let job = Arc::new( + table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute_async() + .await + .unwrap(), + ); + let waiters = (0..4) + .map(|_| { + let job = job.clone(); + tokio::spawn(async move { job.wait().await }) + }) + .collect::>(); + for waiter in waiters { + waiter.await.unwrap().unwrap(); + } + // A wait after the job settled still reports the same outcome. + job.wait().await.unwrap(); + assert_eq!(table.list_indices().await.unwrap().len(), 1); + } + + /// Every waiter sees a failure, not just the first: a waiter that missed + /// the outcome would be told the job succeeded. + #[tokio::test] + async fn test_execute_async_job_reports_failure_to_every_waiter() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute() + .await + .unwrap(); + + // Rebuilding the same index without replace fails once the build + // starts, so the failure reaches the job rather than execute_async. + let job = Arc::new( + table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .replace(false) + .execute_async() + .await + .unwrap(), + ); + let waiters = (0..3) + .map(|_| { + let job = job.clone(); + tokio::spawn(async move { job.wait().await }) + }) + .collect::>(); + for waiter in waiters { + waiter + .await + .unwrap() + .expect_err("every waiter must see the failure"); + } + job.wait().await.expect_err("a later wait still fails"); + } + + /// A local failure keeps the error it failed with, so a caller can match on + /// the original variant rather than parse a message. + #[tokio::test] + async fn test_execute_async_failure_keeps_the_source_error() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute() + .await + .unwrap(); + + let job = table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .replace(false) + .execute_async() + .await + .unwrap(); + + let crate::Error::JobFailed { failure, .. } = job.wait().await.unwrap_err() else { + panic!("a failed job reports JobFailed"); + }; + let source = failure.source.expect("a local failure carries its error"); + assert_eq!( + failure.message.as_deref(), + Some(source.to_string()).as_deref() + ); + // Nothing local can report these, so they must be absent rather than invented. + assert!(failure.phase.is_none()); + assert!(failure.retryable.is_none()); + } + + /// Every waiter sees the cancellation, including ones that were already + /// waiting when the cancel landed. + #[tokio::test] + async fn test_execute_async_job_reports_cancellation_to_every_waiter() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + + let job = Arc::new( + table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute_async() + .await + .unwrap(), + ); + // Cancel before yielding, so the build cannot have started and the + // outcome is always the cancellation. + job.cancel().await.unwrap(); + + let waiters = (0..2) + .map(|_| { + let job = job.clone(); + tokio::spawn(async move { job.wait().await }) + }) + .collect::>(); + for waiter in waiters { + match waiter.await.unwrap() { + Err(crate::Error::JobCancelled { .. }) => {} + other => panic!("expected the cancellation, got {other:?}"), + } + } + match job.wait().await { + Err(crate::Error::JobCancelled { .. }) => {} + other => panic!("expected the cancellation, got {other:?}"), + } + } + + #[tokio::test] + async fn test_execute_async_job_cancel_stops_local_build() { + let tmp_dir = tempdir().unwrap(); + let conn = connect(tmp_dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let batch = record_batch!(("id", Int32, (0..512).collect::>())).unwrap(); + let table = conn.create_table("t", batch).execute().await.unwrap(); + + let job = table + .create_index(&["id"], Index::BTree(BTreeIndexBuilder::default())) + .execute_async() + .await + .unwrap(); + job.cancel().await.unwrap(); + match job.wait().await { + Err(crate::Error::JobCancelled { .. }) => {} + // The build may finish before the abort lands. + Ok(()) => {} + other => panic!("unexpected job outcome: {other:?}"), + } + } + #[tokio::test] async fn test_ivf_pq_uses_default_partition_size_for_num_partitions() { use crate::index::vector::IvfPqIndexBuilder; @@ -1366,11 +1612,19 @@ mod tests { table .create_index( &["text"], - Index::FTS(FtsIndexBuilder::default().block_size(256).unwrap()), + Index::FTS( + FtsIndexBuilder::default() + .stem(false) + .custom_stop_words(Some(vec!["cat".to_string()])) + .block_size(256) + .unwrap(), + ), ) .execute() .await .unwrap(); + drop(table); + let table = conn.open_table("test_bitmap").execute().await.unwrap(); let index_configs = table.list_indices().await.unwrap(); assert_eq!(index_configs.len(), 1); let index = index_configs.into_iter().next().unwrap(); @@ -1381,6 +1635,32 @@ mod tests { let index_params: FtsIndexBuilder = serde_json::from_str(index.index_details.as_deref().unwrap()).unwrap(); assert_eq!(index_params.posting_block_size(), 256); + assert_eq!( + serde_json::to_value(&index_params).unwrap()["custom_stop_words"], + serde_json::json!(["cat"]) + ); + assert_eq!( + table + .tokenize("cat dog", "text_idx") + .await + .unwrap() + .into_iter() + .map(|token| token.text) + .collect::>(), + vec!["dog"] + ); + + let batches = table + .query() + .full_text_search(FullTextSearchQuery::new("cat dog".to_string())) + .limit(120) + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::(), 40); let num_rows = 120; let stats = table.index_stats("text_idx").await.unwrap().unwrap(); diff --git a/rust/lancedb/src/table/datafusion.rs b/rust/lancedb/src/table/datafusion.rs index 4272df16d..d60bce7dc 100644 --- a/rust/lancedb/src/table/datafusion.rs +++ b/rust/lancedb/src/table/datafusion.rs @@ -12,7 +12,7 @@ pub mod udtf; use std::{collections::HashMap, sync::Arc}; -use arrow_array::RecordBatch; +use arrow_array::{RecordBatch, RecordBatchOptions}; use arrow_schema::Schema as ArrowSchema; use async_trait::async_trait; use datafusion_catalog::{Session, TableProvider}; @@ -126,7 +126,12 @@ impl ExecutionPlan for MetadataEraserExec { let stream = self.input.execute(partition, context)?; let schema = self.schema.clone(); let stream = stream.map_ok(move |batch| { - RecordBatch::try_new(schema.clone(), batch.columns().to_vec()).unwrap() + RecordBatch::try_new_with_options( + schema.clone(), + batch.columns().to_vec(), + &RecordBatchOptions::new().with_row_count(Some(batch.num_rows())), + ) + .unwrap() }); Ok( Box::pin(RecordBatchStreamAdapter::new(self.schema.clone(), stream)) @@ -544,6 +549,60 @@ pub mod tests { } } + /// A scan with an EMPTY projection (the shape a filtered `COUNT(*)` feeds in) yields + /// zero-column batches. `MetadataEraserExec::execute` rebuilt each batch with + /// `RecordBatch::try_new(schema, cols).unwrap()`; for a column-less batch that errors with + /// "must either specify a row count or at least one column" and the `.unwrap()` panics. + #[tokio::test] + async fn test_metadata_eraser_empty_projection_preserves_row_count() { + let fixture = TestFixture::new().await; + + // Empty projection => zero output columns over N rows. Table "foo" has 10 rows. + let plan = + LogicalPlanBuilder::scan("foo", provider_as_source(fixture.adapter), Some(vec![])) + .unwrap() + .build() + .unwrap(); + + let mut stream = TestFixture::plan_to_stream(plan).await; + + let mut rows = 0usize; + while let Some(batch) = stream.try_next().await.unwrap() { + assert_eq!( + batch.num_columns(), + 0, + "empty projection must yield zero columns" + ); + rows += batch.num_rows(); + } + assert_eq!( + rows, 10, + "row count must survive MetadataEraserExec on a zero-column batch" + ); + + // End-to-end SQL regression for the previous panic. + let fixture = TestFixture::new().await; + + let ctx = SessionContext::new(); + ctx.register_table("foo", fixture.adapter.clone()).unwrap(); + + let batches = ctx + .sql("SELECT COUNT(*) FROM foo WHERE i < 5") + .await + .unwrap() + .collect() + .await + .unwrap(); + + let count = batches[0] + .column(0) + .as_any() + .downcast_ref::() + .unwrap() + .value(0); + assert_eq!(count, 5, "COUNT(*) WHERE i < 5 over 0..10 must be 5"); + } + #[tokio::test] async fn test_filter_pushdown() { let fixture = TestFixture::new().await; diff --git a/rust/lancedb/tests/blob_integration.rs b/rust/lancedb/tests/blob_integration.rs index ad0c8d9ff..e1fe742f7 100644 --- a/rust/lancedb/tests/blob_integration.rs +++ b/rust/lancedb/tests/blob_integration.rs @@ -12,7 +12,7 @@ use futures::TryStreamExt; use lance_encoding::version::LanceFileVersion; use lancedb::{ Connection, Error, Result, Table, - blob::blob, + blob::{BlobRangeRequest, blob}, connect, connect_namespace, database::listing::OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS, query::{ExecutableQuery, QueryBase}, @@ -595,6 +595,73 @@ async fn fetch_blobs_aligns_with_reordered_and_duplicate_ids() -> Result<()> { Ok(()) } +#[tokio::test] +async fn fetch_blob_ranges_aligns_repeated_ranges_and_nulls() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().to_str().unwrap()).execute().await?; + let table = + create_inline_blob_table(&db, "t", &[1, 2], &[Some(b"abcdefghij".as_slice()), None]) + .await?; + + let pairs = collect_id_rowid(&table).await?; + let by_id = |want: i64| pairs.iter().find(|(id, _)| *id == want).unwrap().1; + let requests = [ + BlobRangeRequest::new(by_id(1), 2, 3), + BlobRangeRequest::new(by_id(2), 0, 0), + BlobRangeRequest::new(by_id(1), 0, 2), + BlobRangeRequest::new(by_id(1), 2, 3), + BlobRangeRequest::new(by_id(1), 10, 0), + ]; + let bytes = table.fetch_blob_ranges("image", requests).await?; + + assert_eq!(bytes.len(), requests.len()); + assert_eq!(bytes.value(0), b"cde"); + assert!(bytes.is_null(1)); + assert_eq!(bytes.value(2), b"ab"); + assert_eq!(bytes.value(3), b"cde"); + assert_eq!(bytes.value(4), b""); + Ok(()) +} + +#[tokio::test] +async fn fetch_blob_ranges_validates_requests() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().to_str().unwrap()).execute().await?; + let table = create_inline_blob_table(&db, "t", &[1], &[Some(b"abc".as_slice())]).await?; + let row_id = collect_row_ids(&table).await?[0]; + + let err = table + .fetch_blob_ranges("image", [BlobRangeRequest::new(row_id, 2, 2)]) + .await + .unwrap_err(); + assert!(err.to_string().contains("exceeds blob size")); + + let err = table + .fetch_blob_ranges("image", [BlobRangeRequest::new(row_id, u64::MAX, 1)]) + .await + .unwrap_err(); + assert!(err.to_string().contains("offset + length overflowed")); + + let err = table + .fetch_blob_ranges("image", [BlobRangeRequest::new(u64::MAX, 0, 1)]) + .await + .unwrap_err(); + assert!(matches!(&err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("row IDs")); + Ok(()) +} + +#[tokio::test] +async fn fetch_blob_ranges_empty_requests_returns_empty_array() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().to_str().unwrap()).execute().await?; + let table = create_inline_blob_table(&db, "t", &[1], &[Some(b"x".as_slice())]).await?; + + let bytes = table.fetch_blob_ranges("image", std::iter::empty()).await?; + assert!(bytes.is_empty()); + Ok(()) +} + #[tokio::test] async fn fetch_blobs_empty_ids_returns_empty() -> Result<()> { let tmp = tempdir().unwrap(); @@ -613,7 +680,33 @@ async fn fetch_blobs_out_of_range_id_errors_without_panic() -> Result<()> { let table = create_inline_blob_table(&db, "t", &[1], &[Some(b"x".as_slice())]).await?; let err = table.fetch_blobs("image", &[u64::MAX]).await.unwrap_err(); - assert!(err.to_string().contains("row ids")); + assert!(err.to_string().contains("row IDs")); + Ok(()) +} + +#[tokio::test] +async fn fetch_blob_apis_reject_mixed_valid_and_missing_row_ids() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().to_str().unwrap()).execute().await?; + let table = create_inline_blob_table(&db, "t", &[1], &[Some(b"x".as_slice())]).await?; + let row_id = collect_row_ids(&table).await?[0]; + let row_ids = [u64::MAX, row_id]; + + let err = table.fetch_blobs("image", &row_ids).await.unwrap_err(); + assert!(matches!(&err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("row IDs")); + + let err = table.fetch_blob_files("image", &row_ids).await.unwrap_err(); + assert!(matches!(&err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("row IDs")); + + let requests = row_ids.map(|row_id| BlobRangeRequest::new(row_id, 0, 1)); + let err = table + .fetch_blob_ranges("image", requests) + .await + .unwrap_err(); + assert!(matches!(&err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("row IDs")); Ok(()) } @@ -843,11 +936,24 @@ async fn fetch_blobs_with_precompaction_row_ids_survives_compaction() -> Result< _ => unreachable!(), } } + + let ranges = ids_before + .iter() + .map(|row_id| BlobRangeRequest::new(*row_id, 5, 3)); + let ranges_after = table.fetch_blob_ranges("image", ranges).await?; + assert_eq!(ranges_after.len(), 2); + for (i, (id, _)) in pairs_before.iter().enumerate() { + match id { + 1 => assert_eq!(ranges_after.value(i), b"one"), + 2 => assert_eq!(ranges_after.value(i), b"two"), + _ => unreachable!(), + } + } Ok(()) } #[tokio::test] -async fn zero_length_blob_reads_back_as_null() -> Result<()> { +async fn empty_blob_reads_back_as_empty_bytes() -> Result<()> { let tmp = tempdir().unwrap(); let db = connect(tmp.path().to_str().unwrap()).execute().await?; let table = create_inline_blob_table(&db, "t", &[1], &[Some(b"".as_slice())]).await?; @@ -855,7 +961,8 @@ async fn zero_length_blob_reads_back_as_null() -> Result<()> { let ids = collect_row_ids(&table).await?; let bytes = table.fetch_blobs("image", &ids).await?; assert_eq!(bytes.len(), 1); - assert!(bytes.is_null(0)); + assert!(!bytes.is_null(0)); + assert!(bytes.value(0).is_empty()); Ok(()) } @@ -927,6 +1034,27 @@ async fn fetch_blobs_aligns_across_fragments_with_nulls_and_dups() -> Result<()> Ok(()) } +#[tokio::test] +async fn fetch_blob_ranges_aligns_across_fragments_with_nulls_and_dups() -> Result<()> { + let tmp = tempdir().unwrap(); + let db = connect(tmp.path().to_str().unwrap()).execute().await?; + let table = multi_fragment_dedicated_blob_table(&db).await?; + let row_ids = row_ids_for_logical(&table, &SCRAMBLED_LOGICAL_IDS).await?; + let requests = row_ids + .iter() + .map(|row_id| BlobRangeRequest::new(*row_id, 123, 8)); + + let bytes = table.fetch_blob_ranges("image", requests).await?; + assert_eq!(bytes.len(), SCRAMBLED_LOGICAL_IDS.len()); + for (slot, logical_id) in SCRAMBLED_LOGICAL_IDS.iter().enumerate() { + match logical_id { + 3 | 5 => assert!(bytes.is_null(slot)), + id => assert_eq!(bytes.value(slot), [*id as u8; 8]), + } + } + Ok(()) +} + #[tokio::test] async fn fetch_blob_files_aligns_across_fragments_with_nulls_and_dups() -> Result<()> { let tmp = tempdir().unwrap();