chore: update lance dependency to v11.0.0-rc.1

.bumpversion.toml

@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.39.0-beta.4"
+current_version = "0.38.0-beta.6"
 parse = """(?x)
     (?P<major>0|[1-9]\\d*)\\.
     (?P<minor>0|[1-9]\\d*)\\.

.github/dependabot.yml

@@ -44,27 +44,3 @@ updates:
       python-deps:
         patterns:
           - "*"
-
-  # The npm ecosystem covers pnpm lockfiles. There are two separate installs:
-  # the bindings themselves and the examples, which have their own lockfile.
-  # As with cargo and pip above, only bump the lockfile — the version ranges
-  # in package.json are our consumers' constraints, not ours.
-  - package-ecosystem: npm
-    directory: /nodejs
-    schedule:
-      interval: weekly
-    versioning-strategy: lockfile-only
-    groups:
-      nodejs-deps:
-        patterns:
-          - "*"
-
-  - package-ecosystem: npm
-    directory: /nodejs/examples
-    schedule:
-      interval: weekly
-    versioning-strategy: lockfile-only
-    groups:
-      nodejs-examples-deps:
-        patterns:
-          - "*"

.github/workflows/dev.yml

@@ -29,14 +29,12 @@ jobs:
     steps:
       - uses: actions/setup-node@v6
         with:
-          node-version: "24"
-      - uses: pnpm/action-setup@v6
-        with:
-          version: 11.1.1
+          node-version: "18"
       # These rules are disabled because Github will always ensure there
       # is a blank line between the title and the body and Github will
       # word wrap the description field to ensure a reasonable max line
       # length.
+      - run: npm install @commitlint/config-conventional
       - run: >
           echo 'module.exports = {
             "rules": {
@@ -45,11 +43,7 @@ jobs:
               "body-leading-blank": [0, "always"]
             }
           }' > .commitlintrc.js
-      - run: >
-          pnpm dlx
-          --package @commitlint/cli@21.2.2
-          --package @commitlint/config-conventional@21.2.2
-          commitlint --extends @commitlint/config-conventional --verbose <<< $COMMIT_MSG
+      - run: npx commitlint --extends @commitlint/config-conventional --verbose <<< $COMMIT_MSG
         env:
           COMMIT_MSG: >
             ${{ github.event.pull_request.title }}
@@ -60,7 +54,7 @@ jobs:
         with:
           script: |
             const message = `**ACTION NEEDED**
-
+              
               Lance follows the [Conventional Commits specification](https://www.conventionalcommits.org/en/v1.0.0/) for release automation.
 
               The PR title and description are used as the merge commit message.\

.github/workflows/docs-link-check.yml

@@ -56,7 +56,7 @@ jobs:
         uses: lycheeverse/lychee-action@e7477775783ea5526144ba13e8db5eec57747ce8 # v2.9.0
         with:
           # Restricted to http(s) on purpose. Much of docs/src is generated
-          # API reference (the js/ tree comes from `pnpm run docs` in nodejs)
+          # API reference (the js/ tree comes from `npm run docs` in nodejs)
           # and the hand-written pages use mkdocstrings cross-references and
           # nav-relative paths that only resolve in the site mkdocs builds,
           # not in this checkout, so relative links would be reported as

.github/workflows/docs.yml

@@ -55,7 +55,9 @@ jobs:
       - name: Set up node
         uses: actions/setup-node@v6
         with:
-          node-version: 24
+          node-version: 20
+          cache: 'npm'
+          cache-dependency-path: docs/package-lock.json
       - name: Install node dependencies
         working-directory: nodejs
         run: |

.github/workflows/nodejs.yml

@@ -47,8 +47,9 @@ jobs:
         version: 11.1.1
     - uses: actions/setup-node@v6
       with:
-        # Build on a supported LTS; the matrix job below covers every
-        # Node version the library claims to support.
+        # pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
+        # in October. The library itself still supports Node >= 18
+        # (see test matrix below).
         node-version: 24
         cache: 'pnpm'
         cache-dependency-path: nodejs/pnpm-lock.yaml
@@ -83,7 +84,7 @@ jobs:
     timeout-minutes: 30
     strategy:
       matrix:
-        node-version: [ "22", "24", "26" ]
+        node-version: [ "18", "20" ]
     runs-on: "ubuntu-22.04"
     defaults:
       run:
@@ -100,9 +101,9 @@ jobs:
     - uses: actions/setup-node@v6
       name: Setup Node.js 24 for build
       with:
-        # Build and install once on a fixed version so the generated docs
-        # are identical across matrix legs; the tests below then run on each
-        # supported Node version.
+        # pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
+        # in October. Build/install runs on Node 24; tests run on the
+        # matrix version below using direct jest invocation.
         node-version: 24
         cache: 'pnpm'
         cache-dependency-path: nodejs/pnpm-lock.yaml
@@ -151,9 +152,9 @@ jobs:
         S3_TEST: "1"
         # Newer @smithy/core uses dynamic ESM imports.
         NODE_OPTIONS: "--experimental-vm-modules"
-      # Invoke the installed jest binary directly; the pnpm shim is set up
-      # against the build-phase Node, not the version selected above.
-      run: node_modules/.bin/jest --verbose
+      # Invoke jest directly because pnpm 11 itself requires Node 22+
+      # while the matrix tests on older Node versions.
+      run: npx jest --verbose
     - name: Test examples
       working-directory: ./
       env:
@@ -163,7 +164,7 @@ jobs:
       run: |
         python ci/mock_openai.py &
         cd nodejs/examples
-        node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose
+        npx jest --testEnvironment jest-environment-node-single-context --verbose
   macos:
     timeout-minutes: 30
     # macos-15 ships a newer linker; the older macos-14 linker fails to insert
@@ -184,7 +185,8 @@ jobs:
         version: 11.1.1
     - uses: actions/setup-node@v6
       with:
-        # pnpm 11 requires Node >= 22.13.
+        # pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
+        # in October.
         node-version: 24
         cache: 'pnpm'
         cache-dependency-path: nodejs/pnpm-lock.yaml

.github/workflows/npm-publish.yml

@@ -40,31 +40,40 @@ jobs:
           - target: aarch64-apple-darwin
             host: macos-latest
             features: fp16kernels
-            # Fat LTO was ~111 of this job's ~113 minutes.
-            lto: thin
-            codegen_units: 16
             pre_build: |-
               brew install protobuf
+              # Fat LTO (the workspace default in .cargo/config.toml) is
+              # single-threaded and is the peak-memory step of the build. On
+              # this runner it accounted for ~111 of the job's ~113 minutes,
+              # making it the critical path of the entire publish pipeline.
+              # ThinLTO parallelizes it across the runner's cores, for a few
+              # percent of runtime performance.
+              export CARGO_PROFILE_RELEASE_LTO=thin
+              export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
           - target: x86_64-pc-windows-msvc
             host: windows-2025
             features: ","
-            # The lower peak also keeps this on the standard 4-core runner.
-            lto: thin
-            codegen_units: 16
             pre_build: |-
               choco install --no-progress protoc ninja nasm
               tail -n 1000 /c/ProgramData/chocolatey/logs/chocolatey.log
               # There is an issue where choco doesn't add nasm to the path
               export PATH="$PATH:/c/Program Files/NASM"
               nasm -v
+              # See the ThinLTO note on aarch64-apple-darwin above. Keeping
+              # peak memory down is also what lets this run on the standard
+              # 4-core runner: the 8-core larger runner was only needed to
+              # stop fat LTO from OOMing rustc-LLVM.
+              export CARGO_PROFILE_RELEASE_LTO=thin
+              export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
           - target: aarch64-pc-windows-msvc
             host: windows-2025
             features: ","
-            lto: thin
-            codegen_units: 16
             pre_build: |-
                 choco install --no-progress protoc
                 rustup target add aarch64-pc-windows-msvc
+                # See the ThinLTO note on aarch64-apple-darwin above.
+                export CARGO_PROFILE_RELEASE_LTO=thin
+                export CARGO_PROFILE_RELEASE_CODEGEN_UNITS=16
           - target: x86_64-unknown-linux-gnu
             host: ubuntu-latest
             features: fp16kernels
@@ -94,14 +103,6 @@ jobs:
             # https://github.com/napi-rs/napi-rs/blob/main/debian-aarch64.Dockerfile
             docker: ghcr.io/napi-rs/napi-rs/nodejs-rust:lts-debian-aarch64
             features: "fp16kernels"
-            # Fat LTO OOM-killed rustc every nightly; even with lld it peaked
-            # at 31391 MiB of the runner's 32 GiB.
-            lto: thin
-            codegen_units: 16
-            # arm64 Linux links through GNU `ld` where x86_64 defaults to
-            # `rust-lld`, which is why only arm64 OOM'd. lld cut the largest
-            # linker process 7.0 -> 4.0 GiB (lancedb/sophon#7313).
-            linker: /tmp/aarch64-lld-clang
             pre_build: |-
               set -e &&
               apt-get update &&
@@ -111,30 +112,9 @@ jobs:
               # AT_HWCAP2 (added in Linux 3.17). Define it for aws-lc-sys.
               export CFLAGS="$CFLAGS -DAT_HWCAP2=26" &&
               rustup target add aarch64-unknown-linux-gnu
-              # Not `&&`-chained: in dash, errexit does not fire for a
-              # non-final command in an `&&` list, so failures were ignored.
-              #
-              # A wrapper rather than `-C link-arg` because the per-target
-              # rustflags variable does not reach every unit that links, while
-              # the linker variable does. `clang` because GCC silently ignores
-              # `-fuse-ld=lld` unless built with lld support. Two echoes
-              # because printf's newline escape gets rewritten to `;` between
-              # here and the container.
-              echo '#!/bin/sh' > /tmp/aarch64-lld-clang
-              echo 'exec clang --target=aarch64-unknown-linux-gnu --sysroot=/usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot --gcc-toolchain=/usr/aarch64-unknown-linux-gnu -fuse-ld=lld "$@"' >> /tmp/aarch64-lld-clang
-              chmod 0755 /tmp/aarch64-lld-clang
-              # Fail now, not at the cdylib link ~30 minutes later. Linking at
-              # all also proves lld resolved; clang errors out when it cannot.
-              echo 'int main(void){return 0;}' > /tmp/probe.c
-              /tmp/aarch64-lld-clang /tmp/probe.c -o /tmp/probe
-              readelf -h /tmp/probe | grep AArch64
           - target: aarch64-unknown-linux-musl
             host: ubuntu-2404-8x-x64
             features: ","
-            # Fat LTO took the whole runner down. lld cannot help: it died
-            # inside rustc's LLVM, before any linker was spawned.
-            lto: thin
-            codegen_units: 16
             pre_build: |-
               set -e &&
               sudo apt-get update &&
@@ -143,19 +123,6 @@ jobs:
               export EXTRA_ARGS="-x"
     name: build - ${{ matrix.settings.target }}
     runs-on: ${{ matrix.settings.host }}
-    # On the job, not exported from `pre_build`: `Swatinem/rust-cache` hashes
-    # `CARGO_*` into its cache key before any step runs, so a step-local export
-    # leaves the key unchanged while cargo still rebuilds cold. The ThinLTO
-    # legs had been doing that every run.
-    #
-    # Not `RUSTFLAGS`: setting it, even to "", discards every config-file
-    # rustflag, silently dropping .cargo/config.toml's `target-cpu` and
-    # `target-feature` from the published binaries.
-    env:
-      CARGO_PROFILE_RELEASE_LTO: ${{ matrix.settings.lto || 'fat' }}
-      CARGO_PROFILE_RELEASE_CODEGEN_UNITS: ${{ matrix.settings.codegen_units || '1' }}
-      # Empty elsewhere: a per-target variable is only read for that triple.
-      CARGO_TARGET_AARCH64_UNKNOWN_LINUX_GNU_LINKER: ${{ matrix.settings.linker }}
     defaults:
       run:
         working-directory: nodejs
@@ -168,7 +135,8 @@ jobs:
       - name: Setup node
         uses: actions/setup-node@v6
         with:
-          # pnpm 11 requires Node >= 22.13.
+          # pnpm 11 requires Node >= 22.13; use 24 since 22 hits EOL
+          # in October.
           node-version: 24
           cache: pnpm
           cache-dependency-path: nodejs/pnpm-lock.yaml
@@ -201,15 +169,19 @@ jobs:
           # creating ref). The nightly cadence also keeps entries inside
           # GitHub's 7-day eviction window, which a tag-only trigger would not.
           save-if: ${{ github.ref == 'refs/heads/main' }}
-      # Docker builds can use rust-cache too: the workspace is bind-mounted, so
-      # `target/` lives on the host and rust-cache's prune keeps the entry
-      # small.
+      # Docker builds can use rust-cache too. `target/` already lives on the
+      # host because the whole workspace is bind-mounted into the container, and
+      # rust-cache's prune and save run host-side, so they can manage it -- which
+      # is what keeps the entry to dependency artifacts rather than a multi-GB
+      # copy of everything.
       #
       # Two differences from the native builds. The container's CARGO_HOME is
-      # bind-mounted from `.cargo-cache` rather than ~/.cargo, so that is cached
-      # explicitly. And the key uses the *host* rustc version, not the compiler
-      # that built these artifacts -- safe, since cargo fingerprints the real
-      # one; a base-image bump just costs one cold build.
+      # bind-mounted from `.cargo-cache` rather than the host's ~/.cargo, so that
+      # has to be cached explicitly. And the key is derived from the *host* rustc
+      # version, which is not the compiler that produced these artifacts; that is
+      # safe because cargo fingerprints the real compiler and rebuilds on a
+      # mismatch, it just means a base-image toolchain bump costs one cold build
+      # instead of invalidating the key.
       - name: Cache cargo (docker builds)
         uses: Swatinem/rust-cache@v2
         if: ${{ matrix.settings.docker }}
@@ -238,19 +210,14 @@ jobs:
           # cache step above saves. Previously the registry mounts pointed at
           # `.cargo/...`, a path nothing cached, so the container re-downloaded
           # the whole crate registry on every run.
-          #
-          # `docker run` inherits nothing; `-e NAME` carries the job's `env:` in.
           options: "--user 0:0 -v ${{ github.workspace }}/.cargo-cache/git/db:/usr/local/cargo/git/db \
                     -v ${{ github.workspace }}/.cargo-cache/registry/cache:/usr/local/cargo/registry/cache \
                     -v ${{ github.workspace }}/.cargo-cache/registry/index:/usr/local/cargo/registry/index \
-                    -e CARGO_PROFILE_RELEASE_LTO \
-                    -e CARGO_PROFILE_RELEASE_CODEGEN_UNITS \
-                    -e CARGO_TARGET_AARCH64_UNKNOWN_LINUX_GNU_LINKER \
                     -v ${{ github.workspace }}:/build -w /build/nodejs"
           run: |
             set -e
             ${{ matrix.settings.pre_build }}
-            node_modules/.bin/napi build --platform --release \
+            npx napi build --platform --release \
               --features ${{ matrix.settings.features }} \
               --target ${{ matrix.settings.target }} \
               --dts ../lancedb/native.d.ts \
@@ -270,7 +237,7 @@ jobs:
       - name: Build
         run: |
           ${{ matrix.settings.pre_build }}
-          node_modules/.bin/napi build --platform --release \
+          npx napi build --platform --release \
               --features ${{ matrix.settings.features }} \
               --target ${{ matrix.settings.target }} \
               --dts ../lancedb/native.d.ts \
@@ -289,18 +256,6 @@ jobs:
         if: always()
         run: df -h
         shell: bash
-      - name: Report peak memory
-        if: always() && runner.os == 'Linux'
-        shell: bash
-        run: |
-          peak=$(find /sys/fs/cgroup -name memory.peak -readable \
-                 -exec cat {} + 2>/dev/null | sort -n | tail -1)
-          if [ -n "$peak" ]; then
-            echo "peak memory: $((peak / 1024 / 1024)) MiB"
-          else
-            echo "peak memory: unavailable (no readable cgroup v2 memory.peak)"
-          fi
-          free -g || true
       - name: Upload artifact
         uses: actions/upload-artifact@v7
         with:
@@ -338,7 +293,7 @@ jobs:
           - target: aarch64-unknown-linux-gnu
             host: ubuntu-2404-8x-arm64
         node:
-          - '22'
+          - '20'
     runs-on: ${{ matrix.settings.host }}
     defaults:
       run:
@@ -384,9 +339,9 @@ jobs:
       - name: Move built files
         run: cp dist/native.d.ts dist/native.js dist/*.node lancedb/
       - name: Test bindings
-        # Invoke the installed jest binary directly; the pnpm shim is set up
-        # against the install-phase Node, not the version selected above.
-        run: node_modules/.bin/jest --verbose
+        # Invoke jest directly because pnpm 11 itself requires Node 22+
+        # while the matrix tests on older Node versions.
+        run: npx jest --verbose
   publish:
     name: Publish
     runs-on: ubuntu-latest

.github/workflows/rust.yml

@@ -232,10 +232,7 @@ jobs:
           ALL_FEATURES=`cargo metadata --format-version=1 --no-deps \
             | jq -r '.packages[] | .features | keys | .[]' \
             | grep -v s3-test | sort | uniq | paste -s -d "," -`
-          # Run doctests before test binaries fill the runner disk. Examples are
-          # already built by the Linux job, so avoid retaining them here.
-          cargo test --profile ci --features $ALL_FEATURES --locked --doc
-          cargo test --profile ci --features $ALL_FEATURES --locked --lib --tests
+          cargo test --profile ci --features $ALL_FEATURES --locked
 
   windows:
     strategy:

.github/workflows/update_package_lock_run.yml

@@ -0,0 +1,22 @@
+name: Update package-lock.json
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          ref: main
+          persist-credentials: false
+          fetch-depth: 0
+          lfs: true
+      - uses: ./.github/workflows/update_package_lock
+        with:
+          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}

.github/workflows/update_package_lock_run_nodejs.yml

@@ -0,0 +1,22 @@
+name: Update NodeJs package-lock.json
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          ref: main
+          persist-credentials: false
+          fetch-depth: 0
+          lfs: true
+      - uses: ./.github/workflows/update_package_lock_nodejs
+        with:
+          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}

.pre-commit-config.yaml

@@ -20,10 +20,7 @@ repos:
     hooks:
       - id: local-biome-check
         name: biome check
-        # Use the biome from nodejs/package.json rather than a separately
-        # pinned one: the two drifted apart and disagreed on formatting, so
-        # this hook rejected code that `pnpm lint` accepted.
-        entry: nodejs/node_modules/.bin/biome check --config-path nodejs/biome.json nodejs/
+        entry: npx @biomejs/biome@1.8.3 check --config-path nodejs/biome.json nodejs/
         language: system
         types: [text]
         files: "nodejs/.*"

AGENTS.md

@@ -38,7 +38,7 @@ Before committing changes, run formatting for every language you touched. At min
 * Rust changes: run `cargo fmt --all`.
 * Python changes: run `ruff format .` and `ruff check .` from the repository root,
   and run targeted tests through `cd python && uv run ...`.
-* TypeScript changes: run the relevant `pnpm` lint, format, build, and docs commands in `nodejs`.
+* TypeScript changes: run the relevant `npm`/`pnpm` lint, format, build, and docs commands in `nodejs`.
 
 Before creating a PR, the exact value passed to `gh pr create --title` must follow
 Conventional Commits, such as `fix: support nested field paths in native index creation`
@@ -101,12 +101,12 @@ Python bindings changes:
 TypeScript bindings changes:
 
 1. Add napi-rs method binding on `Table` in `nodejs/src/table.rs`.
-2. Run `pnpm build` to generate TypeScript definitions.
+2. Run `npm run build` to generate TypeScript definitions.
 3. Add typescript method on abstract class `Table` in `nodejs/src/table.ts`.
 4. Add concrete method on `LocalTable` class in `nodejs/src/native_table.ts`.
     * Note: despite the name, this class is also used for remote tables.
 5. Add test in `nodejs/__test__/table.test.ts`.
-6. Run `pnpm run docs` to generate TypeScript documentation.
+6. Run `npm run docs` to generate TypeScript documentation.
 
 ## Python API reference
 

Cargo.lock

@@ -332,34 +332,6 @@ dependencies = [
  "num-traits",
 ]
 
-[[package]]
-name = "arrow-flight"
-version = "58.4.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b2dbe34824c639e43136af8f106992792ab456540d54b880bc320a3192502d2e"
-dependencies = [
- "arrow-arith",
- "arrow-array",
- "arrow-buffer",
- "arrow-cast",
- "arrow-data",
- "arrow-ipc",
- "arrow-ord",
- "arrow-row",
- "arrow-schema",
- "arrow-select",
- "arrow-string",
- "base64 0.22.1",
- "bytes",
- "futures",
- "once_cell",
- "paste",
- "prost",
- "prost-types",
- "tonic",
- "tonic-prost",
-]
-
 [[package]]
 name = "arrow-ipc"
 version = "58.4.0"
@@ -563,9 +535,9 @@ dependencies = [
 
 [[package]]
 name = "async-trait"
-version = "0.1.92"
+version = "0.1.91"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "82f6aeea286b8eb4dd3431a1be1b59d290ace00f5bfd8e2a159bc2a05e2c1667"
+checksum = "ae36dc4177970ef04fde5178d3e2429882def40e57a451f919c098f72baa6cec"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -1157,7 +1129,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "edca88bc138befd0323b20752846e6587272d3b03b0343c8ea28a6f819e6e71f"
 dependencies = [
  "async-trait",
- "axum-core 0.4.5",
+ "axum-core",
  "bytes",
  "futures-util",
  "http 1.5.0",
@@ -1166,7 +1138,7 @@ dependencies = [
  "hyper 1.9.0",
  "hyper-util",
  "itoa",
- "matchit 0.7.3",
+ "matchit",
  "memchr",
  "mime",
  "percent-encoding",
@@ -1184,31 +1156,6 @@ dependencies = [
  "tracing",
 ]
 
-[[package]]
-name = "axum"
-version = "0.8.9"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "31b698c5f9a010f6573133b09e0de5408834d0c82f8d7475a89fc1867a71cd90"
-dependencies = [
- "axum-core 0.5.6",
- "bytes",
- "futures-util",
- "http 1.5.0",
- "http-body 1.1.0",
- "http-body-util",
- "itoa",
- "matchit 0.8.4",
- "memchr",
- "mime",
- "percent-encoding",
- "pin-project-lite",
- "serde_core",
- "sync_wrapper",
- "tower",
- "tower-layer",
- "tower-service",
-]
-
 [[package]]
 name = "axum-core"
 version = "0.4.5"
@@ -1230,24 +1177,6 @@ dependencies = [
  "tracing",
 ]
 
-[[package]]
-name = "axum-core"
-version = "0.5.6"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "08c78f31d7b1291f7ee735c1c6780ccde7785daae9a9206026862dab7d8792d1"
-dependencies = [
- "bytes",
- "futures-core",
- "http 1.5.0",
- "http-body 1.1.0",
- "http-body-util",
- "mime",
- "pin-project-lite",
- "sync_wrapper",
- "tower-layer",
- "tower-service",
-]
-
 [[package]]
 name = "backoff"
 version = "0.4.0"
@@ -1514,9 +1443,9 @@ checksum = "175812e0be2bccb6abe50bb8d566126198344f707e304f45c648fd8f2cc0365e"
 
 [[package]]
 name = "bytemuck"
-version = "1.25.2"
+version = "1.25.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "95832e849adfb21180ccb6826a99da14e5d266ae5c2e668e1602cf234f153797"
+checksum = "c8efb64bd706a16a1bdde310ae86b351e4d21550d98d056f22f8a7f7a2183fec"
 dependencies = [
  "bytemuck_derive",
 ]
@@ -1668,9 +1597,9 @@ checksum = "613afe47fcd5fac7ccf1db93babcb082c5994d996f20b8b159f2ad1658eb5724"
 
 [[package]]
 name = "chacha20"
-version = "0.10.2"
+version = "0.10.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "65c35e4b699c7e15ccbe7ee35c005e4fc0a278d22238a2857e6ce2dadeda1b06"
+checksum = "6f8d983286843e49675a4b7a2d174efe136dc93a18d69130dd18198a6c167601"
 dependencies = [
  "cfg-if 1.0.4",
  "cpufeatures 0.3.0",
@@ -3526,8 +3455,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
 
 [[package]]
 name = "fsst"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "rand 0.9.5",
@@ -4886,8 +4815,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"
 
 [[package]]
 name = "lance"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arc-swap",
  "arrow",
@@ -4959,8 +4888,8 @@ dependencies = [
 
 [[package]]
 name = "lance-arrow"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -4982,7 +4911,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-scalar"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -4996,7 +4925,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-stats"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -5005,8 +4934,8 @@ dependencies = [
 
 [[package]]
 name = "lance-bitpacking"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrayref",
  "crunchy",
@@ -5016,8 +4945,8 @@ dependencies = [
 
 [[package]]
 name = "lance-core"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -5054,8 +4983,8 @@ dependencies = [
 
 [[package]]
 name = "lance-datafusion"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -5071,7 +5000,6 @@ dependencies = [
  "datafusion-functions",
  "datafusion-physical-expr",
  "futures",
- "half",
  "jsonb",
  "lance-arrow",
  "lance-core",
@@ -5085,8 +5013,8 @@ dependencies = [
 
 [[package]]
 name = "lance-datagen"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -5103,8 +5031,8 @@ dependencies = [
 
 [[package]]
 name = "lance-derive"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -5113,8 +5041,8 @@ dependencies = [
 
 [[package]]
 name = "lance-encoding"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -5147,8 +5075,8 @@ dependencies = [
 
 [[package]]
 name = "lance-file"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-arith",
  "arrow-array",
@@ -5179,8 +5107,8 @@ dependencies = [
 
 [[package]]
 name = "lance-index"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arc-swap",
  "arrow",
@@ -5244,8 +5172,8 @@ dependencies = [
 
 [[package]]
 name = "lance-index-core"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -5267,8 +5195,8 @@ dependencies = [
 
 [[package]]
 name = "lance-io"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -5308,8 +5236,8 @@ dependencies = [
 
 [[package]]
 name = "lance-linalg"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -5323,29 +5251,27 @@ dependencies = [
 
 [[package]]
 name = "lance-namespace"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "async-trait",
  "bytes",
  "lance-core",
  "lance-namespace-reqwest-client",
- "serde",
- "serde_json",
  "snafu 0.9.0",
 ]
 
 [[package]]
 name = "lance-namespace-impls"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "arrow-ipc",
  "arrow-schema",
  "async-trait",
- "axum 0.7.9",
+ "axum",
  "base64 0.22.1",
  "bytes",
  "chrono",
@@ -5378,9 +5304,9 @@ dependencies = [
 
 [[package]]
 name = "lance-namespace-reqwest-client"
-version = "0.12.0"
+version = "0.11.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d8d23e54b1634d5bbb434f8dd33dc3c05f6e58d876a9a27b3b4aef58ddbe11af"
+checksum = "0a030196da1c994b63a96a4f0bf5b0cfa459fe6dadc9e962320246ca328da22a"
 dependencies = [
  "reqwest 0.12.28",
  "serde",
@@ -5392,8 +5318,8 @@ dependencies = [
 
 [[package]]
 name = "lance-select"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -5407,8 +5333,8 @@ dependencies = [
 
 [[package]]
 name = "lance-table"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow",
  "arrow-array",
@@ -5448,8 +5374,8 @@ dependencies = [
 
 [[package]]
 name = "lance-testing"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "arrow-array",
  "arrow-schema",
@@ -5462,8 +5388,8 @@ dependencies = [
 
 [[package]]
 name = "lance-tokenizer"
-version = "12.0.0-beta.14"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
+version = "11.0.0-rc.1"
+source = "git+https://github.com/lance-format/lance.git?tag=v11.0.0-rc.1#308c00db4f4dae6b2ea4a1d1d2ceb1c3ed88a159"
 dependencies = [
  "frostem",
  "icu_segmenter",
@@ -5476,7 +5402,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb"
-version = "0.39.0-beta.3"
+version = "0.38.0-beta.6"
 dependencies = [
  "ahash",
  "anyhow",
@@ -5485,7 +5411,6 @@ dependencies = [
  "arrow-buffer",
  "arrow-cast",
  "arrow-data",
- "arrow-flight",
  "arrow-ipc",
  "arrow-ord",
  "arrow-schema",
@@ -5541,7 +5466,6 @@ dependencies = [
  "polars",
  "polars-arrow",
  "pprof 0.14.1",
- "prost",
  "rand 0.9.5",
  "random_word",
  "regex",
@@ -5558,7 +5482,6 @@ dependencies = [
  "test-log",
  "tokenizers",
  "tokio",
- "tonic",
  "url",
  "urlencoding",
  "uuid",
@@ -5567,7 +5490,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-nodejs"
-version = "0.39.0-beta.3"
+version = "0.38.0-beta.6"
 dependencies = [
  "arrow-array",
  "arrow-buffer",
@@ -5592,7 +5515,7 @@ dependencies = [
 
 [[package]]
 name = "lancedb-python"
-version = "0.39.0-beta.3"
+version = "0.38.0-beta.6"
 dependencies = [
  "arrow",
  "async-trait",
@@ -5616,7 +5539,6 @@ dependencies = [
  "serde_json",
  "snafu 0.8.9",
  "tokio",
- "uuid",
 ]
 
 [[package]]
@@ -5826,9 +5748,9 @@ dependencies = [
 
 [[package]]
 name = "log"
-version = "0.4.34"
+version = "0.4.33"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f9f8bd3e56ce4dfc153cf470fffbfa98c7620958b312ca5c3a4b8d5181fd13c6"
+checksum = "0ceec5bc11778974d1bcb055b18002eba7f4b3518b6a0081b3af5f21666da9ad"
 
 [[package]]
 name = "loom"
@@ -5937,12 +5859,6 @@ version = "0.7.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0e7465ac9959cc2b1404e8e2367b43684a6d13790fe23056cc8c6c5a6b7bcb94"
 
-[[package]]
-name = "matchit"
-version = "0.8.4"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "47e1ffaa40ddd1f3ed91f717a33c8c0ee23fff369e3aa8772b9605cc1d22f4c3"
-
 [[package]]
 name = "matrixmultiply"
 version = "0.3.10"
@@ -6085,9 +6001,9 @@ dependencies = [
 
 [[package]]
 name = "moka"
-version = "0.12.16"
+version = "0.12.15"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4293f18e7567a1caf3c584855554377025c65e0aa445344d04171f5ad63d19b9"
+checksum = "957228ad12042ee839f93c8f257b62b4c0ab5eaae1d4fa60de53b27c9d7c5046"
 dependencies = [
  "async-lock",
  "crossbeam-channel",
@@ -6181,15 +6097,14 @@ dependencies = [
 
 [[package]]
 name = "napi"
-version = "3.12.2"
+version = "3.11.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "58c5f4d5375213fdb7be2655e152386e82f026f9a5ba36a75556e11359aafe09"
+checksum = "de33522036981030a75c231829566bc63414e08101a6f5ff4ac6cef19c8e0941"
 dependencies = [
  "bitflags 2.11.1",
  "chrono",
  "ctor 1.0.12",
  "futures",
- "libc",
  "napi-build",
  "napi-sys",
  "nohash-hasher",
@@ -6201,15 +6116,15 @@ dependencies = [
 
 [[package]]
 name = "napi-build"
-version = "2.4.1"
+version = "2.4.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "60fdf9b392c50e7c4170fa633bd909490ed7835cea4c046776d1a4dd8d2ae0ab"
+checksum = "5282704fbe8d49b0cf8b08e3f33233416a528658f205c7e5ace63b582de0b11c"
 
 [[package]]
 name = "napi-derive"
-version = "3.6.3"
+version = "3.6.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0fa55ea69990c90b888e9e77044410e304ce7f35de599dc6d0b5c1923d2e59af"
+checksum = "4d5c9c02556ea6dc99dffd36c1ce60141411657438501a125b675776d011ce92"
 dependencies = [
  "convert_case",
  "ctor 1.0.12",
@@ -6221,9 +6136,9 @@ dependencies = [
 
 [[package]]
 name = "napi-derive-backend"
-version = "6.1.2"
+version = "6.1.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "df4056ac7c18e4438ccf0edaed4340ca0d269278c8ec19284f7b23cb039fd0ae"
+checksum = "d60b5d773ad46c698c8cc2cd9fde0b283d39cbb7f71c04bee633c7bdba4423bd"
 dependencies = [
  "convert_case",
  "proc-macro2",
@@ -7818,7 +7733,6 @@ dependencies = [
  "pyo3-build-config",
  "pyo3-ffi",
  "pyo3-macros",
- "uuid",
 ]
 
 [[package]]
@@ -8687,9 +8601,9 @@ dependencies = [
 
 [[package]]
 name = "roaring"
-version = "0.11.5"
+version = "0.11.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "18bd8a37d17a58532776dcdf6041ce64929adca78e8489d5cacbafe99229d3e1"
+checksum = "1dedc5658c6ecb3bdb5ef5f3295bb9253f42dcf3fd1402c03f6b1f7659c3c4a9"
 dependencies = [
  "bytemuck",
  "byteorder",
@@ -9149,9 +9063,9 @@ dependencies = [
 
 [[package]]
 name = "serde_with"
-version = "3.22.0"
+version = "3.21.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ee78f1fbe43ac4a0e47aadb3dbd357b69eb0d3793e948624cd03dd2750ab1c0a"
+checksum = "76a5c54c7310e7b8b9577c286d7e399ddd876c3e12b3ed917a8aabc4b96e9e8c"
 dependencies = [
  "base64 0.22.1",
  "bs58",
@@ -9159,7 +9073,6 @@ dependencies = [
  "hex",
  "indexmap 1.9.3",
  "indexmap 2.14.0",
- "jiff",
  "schemars 0.9.0",
  "schemars 1.2.1",
  "serde_core",
@@ -9170,9 +9083,9 @@ dependencies = [
 
 [[package]]
 name = "serde_with_macros"
-version = "3.22.0"
+version = "3.21.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8705578779c2b6bd90d84d66eb2e206b708b1a4d7b9f17641b293545bf1c7e46"
+checksum = "84d57bc0c8b9a17920c178daa6bb924850d54a9c97ab45194bb8c17ad66bb660"
 dependencies = [
  "darling 0.23.0",
  "proc-macro2",
@@ -10171,7 +10084,6 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ac2a5518c70fa84342385732db33fb3f44bc4cc748936eb5833d2df34d6445ef"
 dependencies = [
  "async-trait",
- "axum 0.8.9",
  "base64 0.22.1",
  "bytes",
  "h2 0.4.16",
@@ -10183,11 +10095,9 @@ dependencies = [
  "hyper-util",
  "percent-encoding",
  "pin-project",
- "rustls-native-certs",
  "socket2 0.6.3",
  "sync_wrapper",
  "tokio",
- "tokio-rustls 0.26.4",
  "tokio-stream",
  "tower",
  "tower-layer",
@@ -10542,9 +10452,9 @@ checksum = "06abde3611657adf66d383f00b093d7faecc7fa57071cce2578660c9f1010821"
 
 [[package]]
 name = "uuid"
-version = "1.26.0"
+version = "1.24.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b5772d71c9be8a8a6ac2117d949c5b224c1b72241bb611d9a3012edcf8af7812"
+checksum = "bf3923a6f5c4c6382e0b653c4117f48d631ea17f38ed86e2a828e6f7412f5239"
 dependencies = [
  "getrandom 0.4.2",
  "js-sys",

Cargo.toml

@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"
 
 [workspace.dependencies]
-lance = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=11.0.0-rc.1", default-features = false, "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=11.0.0-rc.1", default-features = false, "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=11.0.0-rc.1", default-features = false, "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=11.0.0-rc.1", "tag" = "v11.0.0-rc.1", "git" = "https://github.com/lance-format/lance.git" }
 lancedb = { path = "rust/lancedb", default-features = false }
 ahash = "0.8"
 # Note that this one does not include pyarrow
@@ -39,7 +39,6 @@ arrow-ord = "58.0.0"
 arrow-schema = "58.0.0"
 arrow-select = "58.0.0"
 arrow-cast = "58.0.0"
-arrow-flight = { version = "58.0.0", features = ["flight-sql-experimental"] }
 async-trait = "0"
 bytes = "1"
 datafusion = { version = "54.0.0", default-features = false }
@@ -72,8 +71,7 @@ serde = "1"
 serde_json = "1"
 tempfile = "3.5.0"
 tokio = { version = "1.23", features = ["rt-multi-thread", "sync"] }
-tonic = { version = "0.14", features = ["tls-native-roots", "tls-ring"] }
-uuid = { version = "1.7.0", features = ["v4", "v7"] }
+uuid = { version = "1.7.0", features = ["v4"] }
 chrono = { version = "0.4", default-features = false, features = ["clock"] }
 
 [profile.ci]

Makefile

@@ -5,5 +5,5 @@ licenses:
 	cd python && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
 	cd python && uv sync --all-extras && uv tool run pip-licenses --python .venv/bin/python --format=markdown --with-urls --output-file=PYTHON_THIRD_PARTY_LICENSES.md
 	cd nodejs && cargo about generate ../about.hbs -o RUST_THIRD_PARTY_LICENSES.html -c ../about.toml
-	cd nodejs && pnpm dlx license-checker@25 --markdown --out NODEJS_THIRD_PARTY_LICENSES.md
+	cd nodejs && npx license-checker --markdown --out NODEJS_THIRD_PARTY_LICENSES.md
 	cd java && ./mvnw license:aggregate-add-third-party -q

ci/update_lockfiles.sh

@@ -12,12 +12,16 @@ done
 # This updates the lockfile without building
 cargo metadata --quiet > /dev/null
 
+pushd nodejs || exit 1
+npm install --package-lock-only --silent
+popd
+
 if git diff --quiet --exit-code; then
   echo "No lockfile changes to commit; skipping amend."
 elif $AMEND; then
-  git add Cargo.lock
+  git add Cargo.lock nodejs/package-lock.json
   git commit --amend --no-edit
 else
-  git add Cargo.lock
+  git add Cargo.lock nodejs/package-lock.json
   git commit -m "Update lockfiles"
 fi

deny.toml

@@ -131,13 +131,18 @@ allow = [
     "BSD-3-Clause",
     "ISC",
     "Unicode-3.0",
+    "Unicode-DFS-2016",
     "Zlib",
     "CC0-1.0",
     "MPL-2.0",
     "BSL-1.0",
+    "OpenSSL",
     # 0BSD ("BSD Zero Clause") is effectively public domain — no attribution
     # required. Pulled in by `mock_instant`.
     "0BSD",
+    # bzip2-1.0.6 is the permissive upstream bzip2 license (BSD-like). Pulled
+    # in by `libbz2-rs-sys`, the pure-Rust bzip2 implementation.
+    "bzip2-1.0.6",
     # CDLA-Permissive-2.0 is a permissive data license used by `webpki-roots`
     # for the Mozilla CA root bundle. Data-only, distribution-compatible.
     "CDLA-Permissive-2.0",
@@ -145,7 +150,12 @@ allow = [
 confidence-threshold = 0.8
 # Per-crate license exceptions: allow a license for a specific crate only,
 # rather than globally via the `allow` list above.
-exceptions = []
+exceptions = [
+    # CDDL-1.0 (copyleft) is pulled in only as a dev/profiling dependency via
+    # `inferno` -> `pprof` -> `lance-testing`; it is a test dependency that we
+    # do not distribute, so scope the allowance to `inferno` alone.
+    { allow = ["CDDL-1.0"], crate = "inferno" },
+]
 # Crates whose license cannot be determined from Cargo metadata but whose
 # license we've manually confirmed from upstream. Keep this list minimal.
 [[licenses.clarify]]

docs/README.md

@@ -47,24 +47,22 @@ pytest -vv python/tests/docs
 
 ### Checking typescript examples
 
-The examples depend on `@lancedb/lancedb` at `file:../dist`, so the package must be
-built before running the tests. This uses pnpm; see the
-[Typescript contributing guide](../nodejs/CONTRIBUTING.md) for the toolchain setup.
+The `@lancedb/lancedb` package must be built before running the tests:
 
 ```shell
 pushd nodejs
-pnpm install
-pnpm build
+npm ci
+npm run build
 popd
 ```
 
-Then you can run the examples by going to the `nodejs/examples` directory, which is a
-separate pnpm package with its own lockfile:
+Then you can run the examples by going to the `nodejs/examples` directory and
+running the tests like a normal npm package:
 
 ```shell
 pushd nodejs/examples
-pnpm install
-pnpm test
+npm ci
+npm test
 popd
 ```
 
@@ -86,7 +84,6 @@ The new files should be checked into the repository.
 
 ```shell
 pushd nodejs
-# `pnpm docs` would invoke pnpm's built-in `docs` command, not the script.
-pnpm run docs
+npm run docs
 popd
 ```

docs/openapi.yml

@@ -446,15 +446,6 @@ paths:
               properties:
                 column:
                   type: string
-                name:
-                  type: string
-                  description: Optional name for the created index.
-                replace:
-                  type: boolean
-                  default: true
-                  description: |
-                    Whether to replace an existing index with the same resolved
-                    name. Defaults to true.
                 metric_type:
                   type: string
                   nullable: false

docs/package-lock.json

@@ -0,0 +1,135 @@
+{
+  "name": "lancedb-docs-test",
+  "version": "1.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "lancedb-docs-test",
+      "version": "1.0.0",
+      "license": "Apache 2",
+      "dependencies": {
+        "apache-arrow": "file:../node/node_modules/apache-arrow",
+        "vectordb": "file:../node"
+      },
+      "devDependencies": {
+        "@types/node": "^20.11.8",
+        "typescript": "^5.3.3"
+      }
+    },
+    "../node": {
+      "name": "vectordb",
+      "version": "0.21.2-beta.0",
+      "cpu": [
+        "x64",
+        "arm64"
+      ],
+      "license": "Apache-2.0",
+      "os": [
+        "darwin",
+        "linux",
+        "win32"
+      ],
+      "dependencies": {
+        "@neon-rs/load": "^0.0.74",
+        "axios": "^1.4.0"
+      },
+      "devDependencies": {
+        "@neon-rs/cli": "^0.0.160",
+        "@types/chai": "^4.3.4",
+        "@types/chai-as-promised": "^7.1.5",
+        "@types/mocha": "^10.0.1",
+        "@types/node": "^18.16.2",
+        "@types/sinon": "^10.0.15",
+        "@types/temp": "^0.9.1",
+        "@types/uuid": "^9.0.3",
+        "@typescript-eslint/eslint-plugin": "^5.59.1",
+        "apache-arrow-old": "npm:apache-arrow@13.0.0",
+        "cargo-cp-artifact": "^0.1",
+        "chai": "^4.3.7",
+        "chai-as-promised": "^7.1.1",
+        "eslint": "^8.39.0",
+        "eslint-config-standard-with-typescript": "^34.0.1",
+        "eslint-plugin-import": "^2.26.0",
+        "eslint-plugin-n": "^15.7.0",
+        "eslint-plugin-promise": "^6.1.1",
+        "mocha": "^10.2.0",
+        "openai": "^4.24.1",
+        "sinon": "^15.1.0",
+        "temp": "^0.9.4",
+        "ts-node": "^10.9.1",
+        "ts-node-dev": "^2.0.0",
+        "typedoc": "^0.24.7",
+        "typedoc-plugin-markdown": "^3.15.3",
+        "typescript": "^5.1.0",
+        "uuid": "^9.0.0"
+      },
+      "optionalDependencies": {
+        "@lancedb/vectordb-darwin-arm64": "0.21.2-beta.0",
+        "@lancedb/vectordb-darwin-x64": "0.21.2-beta.0",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.21.2-beta.0",
+        "@lancedb/vectordb-linux-x64-gnu": "0.21.2-beta.0",
+        "@lancedb/vectordb-win32-x64-msvc": "0.21.2-beta.0"
+      },
+      "peerDependencies": {
+        "@apache-arrow/ts": "^14.0.2",
+        "apache-arrow": "^14.0.2"
+      }
+    },
+    "../node/node_modules/apache-arrow": {
+      "version": "14.0.2",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@types/command-line-args": "5.2.0",
+        "@types/command-line-usage": "5.0.2",
+        "@types/node": "20.3.0",
+        "@types/pad-left": "2.1.1",
+        "command-line-args": "5.2.1",
+        "command-line-usage": "7.0.1",
+        "flatbuffers": "23.5.26",
+        "json-bignum": "^0.0.3",
+        "pad-left": "^2.1.0",
+        "tslib": "^2.5.3"
+      },
+      "bin": {
+        "arrow2csv": "bin/arrow2csv.js"
+      }
+    },
+    "node_modules/@types/node": {
+      "version": "20.11.8",
+      "resolved": "https://registry.npmjs.org/@types/node/-/node-20.11.8.tgz",
+      "integrity": "sha512-i7omyekpPTNdv4Jb/Rgqg0RU8YqLcNsI12quKSDkRXNfx7Wxdm6HhK1awT3xTgEkgxPn3bvnSpiEAc7a7Lpyow==",
+      "dev": true,
+      "dependencies": {
+        "undici-types": "~5.26.4"
+      }
+    },
+    "node_modules/apache-arrow": {
+      "resolved": "../node/node_modules/apache-arrow",
+      "link": true
+    },
+    "node_modules/typescript": {
+      "version": "5.3.3",
+      "resolved": "https://registry.npmjs.org/typescript/-/typescript-5.3.3.tgz",
+      "integrity": "sha512-pXWcraxM0uxAS+tN0AG/BF2TyqmHO014Z070UsJ+pFvYuRSq8KH8DmWpnbXe0pEPDHXZV3FcAbJkijJ5oNEnWw==",
+      "dev": true,
+      "bin": {
+        "tsc": "bin/tsc",
+        "tsserver": "bin/tsserver"
+      },
+      "engines": {
+        "node": ">=14.17"
+      }
+    },
+    "node_modules/undici-types": {
+      "version": "5.26.5",
+      "resolved": "https://registry.npmjs.org/undici-types/-/undici-types-5.26.5.tgz",
+      "integrity": "sha512-JlCMO+ehdEIKqlFxk6IfVoAUVmgz7cU7zD/h9XZ0qzeosSHmUJVOzSQvvYSYWXkFXC+IfLKSIffhv0sVZup6pA==",
+      "dev": true
+    },
+    "node_modules/vectordb": {
+      "resolved": "../node",
+      "link": true
+    }
+  }
+}

docs/package.json

@@ -0,0 +1,20 @@
+{
+  "name": "lancedb-docs-test",
+  "version": "1.0.0",
+  "description": "auto-generated tests from doc",
+  "author": "dev@lancedb.com",
+  "license": "Apache 2",
+  "dependencies": {
+    "apache-arrow": "file:../node/node_modules/apache-arrow",
+    "vectordb": "file:../node"
+  },
+  "scripts": {
+    "build": "tsc -b && cd ../node && npm run build-release",
+    "example": "npm run build && node",
+    "test": "npm run build && ls dist/*.js | xargs -n 1 node"
+  },
+  "devDependencies": {
+    "@types/node": "^20.11.8",
+    "typescript": "^5.3.3"
+  }
+}

docs/src/java/java.md

@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-core</artifactId>
-    <version>0.39.0-beta.4</version>
+    <version>0.38.0-beta.6</version>
 </dependency>
 ```
 

docs/src/js/classes/AutoQuery.md

@@ -1,518 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / AutoQuery
-
-# Class: AutoQuery
-
-A builder for automatic string searches.
-
-Automatic search determines whether to use full-text or vector search from
-the table revision selected for each execution. This builder exposes the
-common operations supported by both query families.
-
-## Extends
-
-- `StandardQueryBase`<`NativeQuery` \| `NativeVectorQuery`>
-
-## Properties
-
-### inner
-
-```ts
-protected inner: Query | VectorQuery | Promise<Query | VectorQuery>;
-```
-
-#### Inherited from
-
-`StandardQueryBase.inner`
-
-## Methods
-
-### analyzePlan()
-
-```ts
-analyzePlan(distributedMetrics?): Promise<string>
-```
-
-Executes the query and returns the physical query plan annotated with runtime metrics.
-
-This is useful for debugging and performance analysis, as it shows how the query was executed
-and includes metrics such as elapsed time, rows processed, and I/O statistics.
-
-#### Parameters
-
-* **distributedMetrics?**: [`AnalyzePlanDistributedMetrics`](../type-aliases/AnalyzePlanDistributedMetrics.md)
-    How distributed worker metrics are displayed for remote query plans.
-    Defaults to `"aggregate"`.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-A query execution plan with runtime metrics for each step.
-
-#### Example
-
-```ts
-import * as lancedb from "@lancedb/lancedb"
-
-const db = await lancedb.connect("./.lancedb");
-const table = await db.createTable("my_table", [
-  { vector: [1.1, 0.9], id: "1" },
-]);
-
-const plan = await table.query().nearestTo([0.5, 0.2]).analyzePlan();
-
-Example output (with runtime metrics inlined):
-AnalyzeExec verbose=true, metrics=[]
- ProjectionExec: expr=[id@3 as id, vector@0 as vector, _distance@2 as _distance], metrics=[output_rows=1, elapsed_compute=3.292µs]
-  Take: columns="vector, _rowid, _distance, (id)", metrics=[output_rows=1, elapsed_compute=66.001µs, batches_processed=1, bytes_read=8, iops=1, requests=1]
-   CoalesceBatchesExec: target_batch_size=1024, metrics=[output_rows=1, elapsed_compute=3.333µs]
-    GlobalLimitExec: skip=0, fetch=10, metrics=[output_rows=1, elapsed_compute=167ns]
-     FilterExec: _distance@2 IS NOT NULL, metrics=[output_rows=1, elapsed_compute=8.542µs]
-      SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], metrics=[output_rows=1, elapsed_compute=63.25µs, row_replacements=1]
-       KNNVectorDistance: metric=l2, metrics=[output_rows=1, elapsed_compute=114.333µs, output_batches=1]
-        LanceScan: uri=/path/to/data, projection=[vector], row_id=true, row_addr=false, ordered=false, metrics=[output_rows=1, elapsed_compute=103.626µs, bytes_read=549, iops=2, requests=2]
-```
-
-#### Inherited from
-
-`StandardQueryBase.analyzePlan`
-
-***
-
-### execute()
-
-```ts
-protected execute(options?): AsyncGenerator<RecordBatch<any>, void, unknown>
-```
-
-Execute the query and return the results as an
-
-#### Parameters
-
-* **options?**: `Partial`&lt;[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)&gt;
-
-#### Returns
-
-`AsyncGenerator`&lt;`RecordBatch`&lt;`any`&gt;, `void`, `unknown`&gt;
-
-#### See
-
- - AsyncIterator
-of
- - RecordBatch.
-
-By default, LanceDb will use many threads to calculate results and, when
-the result set is large, multiple batches will be processed at one time.
-This readahead is limited however and backpressure will be applied if this
-stream is consumed slowly (this constrains the maximum memory used by a
-single query)
-
-#### Inherited from
-
-`StandardQueryBase.execute`
-
-***
-
-### explainPlan()
-
-```ts
-explainPlan(verbose): Promise<string>
-```
-
-Generates an explanation of the query execution plan.
-
-#### Parameters
-
-* **verbose**: `boolean` = `false`
-    If true, provides a more detailed explanation. Defaults to false.
-
-#### Returns
-
-`Promise`&lt;`string`&gt;
-
-A Promise that resolves to a string containing the query execution plan explanation.
-
-#### Example
-
-```ts
-import * as lancedb from "@lancedb/lancedb"
-const db = await lancedb.connect("./.lancedb");
-const table = await db.createTable("my_table", [
-  { vector: [1.1, 0.9], id: "1" },
-]);
-const plan = await table.query().nearestTo([0.5, 0.2]).explainPlan();
-```
-
-#### Inherited from
-
-`StandardQueryBase.explainPlan`
-
-***
-
-### fastSearch()
-
-```ts
-fastSearch(): this
-```
-
-Skip searching un-indexed data. This can make search faster, but will miss
-any data that is not yet indexed.
-
-Use [Table#optimize](Table.md#optimize) to index all un-indexed data.
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.fastSearch`
-
-***
-
-### ~~filter()~~
-
-```ts
-filter(predicate): this
-```
-
-A filter statement to be applied to this query.
-
-#### Parameters
-
-* **predicate**: `string`
-
-#### Returns
-
-`this`
-
-#### See
-
-where
-
-#### Deprecated
-
-Use `where` instead
-
-#### Inherited from
-
-`StandardQueryBase.filter`
-
-***
-
-### fullTextSearch()
-
-```ts
-fullTextSearch(query, options?): this
-```
-
-#### Parameters
-
-* **query**: `string` \| [`FullTextQuery`](../interfaces/FullTextQuery.md)
-
-* **options?**: `Partial`&lt;[`FullTextSearchOptions`](../interfaces/FullTextSearchOptions.md)&gt;
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.fullTextSearch`
-
-***
-
-### limit()
-
-```ts
-limit(limit): this
-```
-
-Set the maximum number of results to return.
-
-By default, a plain search has no limit.  If this method is not
-called then every valid row from the table will be returned.
-
-#### Parameters
-
-* **limit**: `number`
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.limit`
-
-***
-
-### offset()
-
-```ts
-offset(offset): this
-```
-
-Set the number of rows to skip before returning results.
-
-This is useful for pagination.
-
-#### Parameters
-
-* **offset**: `number`
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.offset`
-
-***
-
-### orderBy()
-
-```ts
-orderBy(ordering): this
-```
-
-Sort the results by the specified column(s).
-
-#### Parameters
-
-* **ordering**: [`ColumnOrdering`](../interfaces/ColumnOrdering.md) \| [`ColumnOrdering`](../interfaces/ColumnOrdering.md)[]
-
-#### Returns
-
-`this`
-
-This query builder.
-
-#### Inherited from
-
-`StandardQueryBase.orderBy`
-
-***
-
-### outputSchema()
-
-```ts
-outputSchema(): Promise<Schema<any>>
-```
-
-Returns the schema of the output that will be returned by this query.
-
-This can be used to inspect the types and names of the columns that will be
-returned by the query before executing it.
-
-#### Returns
-
-`Promise`&lt;`Schema`&lt;`any`&gt;&gt;
-
-An Arrow Schema describing the output columns.
-
-#### Inherited from
-
-`StandardQueryBase.outputSchema`
-
-***
-
-### select()
-
-```ts
-select(columns): this
-```
-
-Return only the specified columns.
-
-By default a query will return all columns from the table.  However, this can have
-a very significant impact on latency.  LanceDb stores data in a columnar fashion.  This
-means we can finely tune our I/O to select exactly the columns we need.
-
-As a best practice you should always limit queries to the columns that you need.  If you
-pass in an array of column names then only those columns will be returned.
-
-You can also use this method to create new "dynamic" columns based on your existing columns.
-For example, you may not care about "a" or "b" but instead simply want "a + b".  This is often
-seen in the SELECT clause of an SQL query (e.g. `SELECT a+b FROM my_table`).
-
-To create dynamic columns you can pass in a Map<string, string>.  A column will be returned
-for each entry in the map.  The key provides the name of the column.  The value is
-an SQL string used to specify how the column is calculated.
-
-For example, an SQL query might state `SELECT a + b AS combined, c`.  The equivalent
-input to this method would be:
-
-#### Parameters
-
-* **columns**: `string` \| `string`[] \| `Record`&lt;`string`, `string`&gt; \| `Map`&lt;`string`, `string`&gt;
-
-#### Returns
-
-`this`
-
-#### Example
-
-```ts
-new Map([["combined", "a + b"], ["c", "c"]])
-
-Columns will always be returned in the order given, even if that order is different than
-the order used when adding the data.
-
-Note that you can pass in a `Record<string, string>` (e.g. an object literal). This method
-uses `Object.entries` which should preserve the insertion order of the object.  However,
-object insertion order is easy to get wrong and `Map` is more foolproof.
-```
-
-#### Inherited from
-
-`StandardQueryBase.select`
-
-***
-
-### toArray()
-
-```ts
-toArray(options?): Promise<any[]>
-```
-
-Collect the results as an array of objects.
-
-#### Parameters
-
-* **options?**: `Partial`&lt;[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)&gt;
-
-#### Returns
-
-`Promise`&lt;`any`[]&gt;
-
-#### Inherited from
-
-`StandardQueryBase.toArray`
-
-***
-
-### toArrow()
-
-```ts
-toArrow(options?): Promise<Table<any>>
-```
-
-Collect the results as an Arrow
-
-#### Parameters
-
-* **options?**: `Partial`&lt;[`QueryExecutionOptions`](../interfaces/QueryExecutionOptions.md)&gt;
-
-#### Returns
-
-`Promise`&lt;`Table`&lt;`any`&gt;&gt;
-
-#### See
-
-ArrowTable.
-
-#### Inherited from
-
-`StandardQueryBase.toArrow`
-
-***
-
-### useLsm()
-
-```ts
-useLsm(enable): this
-```
-
-Control MemWAL read routing for this query.
-
-By default (unset), when the table carries a MemWAL write spec (see
-[Table#setLsmWriteSpec](Table.md#setlsmwritespec)), reads are routed through the LSM scanner so
-they also return data written via the `mergeInsert` LSM path that has not yet
-been compacted into the base table (the active/frozen in-memory memtables and
-the flushed generations), deduplicated by primary key; a table without a spec
-reads the base table.
-
-#### Parameters
-
-* **enable**: `boolean`
-    `true` forces the LSM scanner and errors if the table has no
-    MemWAL write spec. `false` bypasses the MemWAL and reads the base table only,
-    even when a spec is present.
-    Note: the LSM scanner does not support every query shape (e.g. reranking,
-    hybrid search, `orderBy`). On a MemWAL table those shapes error unless
-    `useLsm(false)` is set, because a base-only read would silently exclude
-    un-compacted MemWAL data.
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.useLsm`
-
-***
-
-### where()
-
-```ts
-where(predicate): this
-```
-
-A filter statement to be applied to this query.
-
-The filter should be supplied as an SQL query string.  For example:
-
-#### Parameters
-
-* **predicate**: `string`
-
-#### Returns
-
-`this`
-
-#### Example
-
-```ts
-x > 10
-y > 0 AND y < 100
-x > 5 OR y = 'test'
-
-Filtering performance can often be improved by creating a scalar index
-on the filter column(s).
-
-Calling this multiple times combines the filters with a logical AND rather
-than replacing the previous filter.
-```
-
-#### Inherited from
-
-`StandardQueryBase.where`
-
-***
-
-### withRowId()
-
-```ts
-withRowId(): this
-```
-
-Whether to return the row id in the results.
-
-This column can be used to match results between different queries. For
-example, to match results from a full text search and a vector search in
-order to perform hybrid search.
-
-#### Returns
-
-`this`
-
-#### Inherited from
-
-`StandardQueryBase.withRowId`

docs/src/js/classes/Connection.md

@@ -448,6 +448,26 @@ on the returned job to know when cleanup has finished.
 
 ***
 
+### getJob()
+
+```ts
+abstract getJob(jobId): Promise<null | JobDescription>
+```
+
+Describe a single server-side job by id.
+
+Resolves to `null` when the server has no such job.
+
+#### Parameters
+
+* **jobId**: `string`
+
+#### Returns
+
+`Promise`&lt;`null` \| [`JobDescription`](../interfaces/JobDescription.md)&gt;
+
+***
+
 ### isOpen()
 
 ```ts
@@ -462,6 +482,48 @@ 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<Table<any>>
+```
+
+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`&lt;`Table`&lt;`any`&gt;&gt;
+
+***
+
 ### listJobs()
 
 ```ts
@@ -522,94 +584,6 @@ Child namespace names and
 
 ***
 
-### listTables()
-
-#### listTables(options)
-
-```ts
-abstract listTables(options?): Promise<ListTablesResponse>
-```
-
-List a page of the tables in this database.
-
-To retrieve the tables after the page, pass the `pageToken` the response
-carries back in. A page can be shorter than `limit` without being the last
-one, so walk until a response carries no page token:
-
-```ts
-const names = [];
-let pageToken = undefined;
-do {
-  const page = await conn.listTables({ pageToken, limit: 100 });
-  names.push(...page.tables);
-  pageToken = page.pageToken;
-} while (pageToken);
-```
-
-##### Parameters
-
-* **options?**: `Partial`&lt;[`ListTablesOptions`](../interfaces/ListTablesOptions.md)&gt;
-    Pagination options
-    (`pageToken`, `limit`).
-
-##### Returns
-
-`Promise`&lt;[`ListTablesResponse`](../interfaces/ListTablesResponse.md)&gt;
-
-A page of table names and an
-  optional token for the tables after it.
-
-#### listTables(namespacePath, options)
-
-```ts
-abstract listTables(namespacePath?, options?): Promise<ListTablesResponse>
-```
-
-List a page of the tables in this database.
-
-##### Parameters
-
-* **namespacePath?**: `string`[]
-    The namespace path to list tables from
-    (defaults to root namespace)
-
-* **options?**: `Partial`&lt;[`ListTablesOptions`](../interfaces/ListTablesOptions.md)&gt;
-    Pagination options
-    (`pageToken`, `limit`).
-
-##### Returns
-
-`Promise`&lt;[`ListTablesResponse`](../interfaces/ListTablesResponse.md)&gt;
-
-A page of table names and an
-  optional token for the tables after it.
-
-***
-
-### openJob()
-
-```ts
-abstract openJob(jobId): Promise<Job>
-```
-
-Open a server-side job by id, returning a handle with its record already
-populated. Rejects when the server has no such job, the way
-[Connection.openTable](Connection.md#opentable) does for a missing table.
-
-The returned [Job](Job.md) answers for its own state, specification,
-result, failure and event history, so there is no separate
-connection-level call for any of them.
-
-#### Parameters
-
-* **jobId**: `string`
-
-#### Returns
-
-`Promise`&lt;[`Job`](Job.md)&gt;
-
-***
-
 ### openMaterializedView()
 
 ```ts
@@ -686,7 +660,7 @@ a "not supported" error.
 
 ***
 
-### ~~tableNames()~~
+### tableNames()
 
 #### tableNames(options)
 
@@ -708,10 +682,6 @@ Tables will be returned in lexicographical order.
 
 `Promise`&lt;`string`[]&gt;
 
-##### Deprecated
-
-Use [Connection.listTables](Connection.md#listtables) instead.
-
 #### tableNames(namespacePath, options)
 
 ```ts
@@ -734,7 +704,3 @@ Tables will be returned in lexicographical order.
 ##### Returns
 
 `Promise`&lt;`string`[]&gt;
-
-##### Deprecated
-
-Use [Connection.listTables](Connection.md#listtables) instead.

docs/src/js/classes/Job.md

@@ -8,116 +8,28 @@
 
 A handle to an operation that may still be running.
 
-The operation may already be complete when the handle is created.
+## Constructors
 
-The detail getters read what the handle last observed. Submitting an
-operation returns only a job id, so populating them eagerly would cost an
-extra round trip on every call:
+### new Job()
 
-- [Job.refresh](Job.md#refresh) and [Job.status](Job.md#status) fetch the whole record.
-- [Job.wait](Job.md#wait) records the terminal state it establishes, but not the
-  rest of the record.
-- Everything is null until one of those runs.
+```ts
+new Job(): Job
+```
+
+#### Returns
+
+[`Job`](Job.md)
 
 ## Accessors
 
-### creationMs
-
-```ts
-get creationMs(): null | number
-```
-
-When the job was created, in milliseconds since the epoch.
-
-#### Returns
-
-`null` \| `number`
-
-***
-
-### failure
-
-```ts
-get failure(): null | JobFailureInfo
-```
-
-Why the job failed, when it failed and the server reports a reason.
-
-#### Returns
-
-`null` \| [`JobFailureInfo`](../interfaces/JobFailureInfo.md)
-
-***
-
 ### 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: parsing it or storing it to resume the job later is not supported.
-
-#### Returns
-
-`null` \| `string`
-
-***
-
-### jobType
-
-```ts
-get jobType(): null | string
-```
-
-The job's type, as the server names it. Null for an in-process job, which
-has no server-side record.
-
-#### Returns
-
-`null` \| `string`
-
-***
-
-### result
-
-```ts
-get result(): any
-```
-
-The job-type-specific terminal result. Null until the job succeeds, so a
-job that never terminates reports its progress through [Job.events](Job.md#events)
-instead.
-
-#### Returns
-
-`any`
-
-***
-
-### spec
-
-```ts
-get spec(): any
-```
-
-The job-type-specific specification it was submitted with.
-
-#### Returns
-
-`any`
-
-***
-
-### state
-
-```ts
-get state(): null | string
-```
-
-The last observed lifecycle state, without contacting the backend.
+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
 
@@ -139,61 +51,18 @@ Request cancellation. Cancelling a finished operation is a no-op.
 
 ***
 
-### events()
-
-```ts
-events(options?): Promise<Table<any>>
-```
-
-This job's recorded lifecycle events.
-
-Where the getters above report a terminal result only once the job reaches
-one, events are written as the job runs and outlive the workers that
-produced them. A distributed job records a `claim`/`claim_complete` pair
-per unit of work, each carrying `rows_processed`, so a job that never
-finishes still accounts for what it did.
-
-The server caps results at 1000 rows by default and 10,000 at most, and
-truncates without saying so, so pass `limit` for a job that emits an event
-per fragment. `filter` is a SQL-like expression over the `state`,
-`updated_by`, `emitted_from`, `emitted_by`, and `claim_entity` columns.
-
-#### Parameters
-
-* **options?**: [`JobEventsOptions`](../interfaces/JobEventsOptions.md)
-
-#### Returns
-
-`Promise`&lt;`Table`&lt;`any`&gt;&gt;
-
-***
-
-### refresh()
-
-```ts
-refresh(): Promise<void>
-```
-
-Ask the backend for this job's current state, and for a server-side job
-its full record, then cache it for the getters above.
-
-#### Returns
-
-`Promise`&lt;`void`&gt;
-
-***
-
 ### status()
 
 ```ts
 status(): Promise<string>
 ```
 
-The operation's current lifecycle state: "running", "finished", "failed",
-or "cancelled".
+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. Also refreshes the getters above.
+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
 
@@ -201,22 +70,6 @@ terminal failure state. Also refreshes the getters above.
 
 ***
 
-### toString()
-
-```ts
-toString(): string
-```
-
-Every field the handle currently knows, one per line, with the JSON
-payloads indented -- a refresh job's spec and result are the point of
-printing it.
-
-#### Returns
-
-`string`
-
-***
-
 ### wait()
 
 ```ts

docs/src/js/classes/Table.md

@@ -676,17 +676,9 @@ List all the versions of the table
 abstract mergeInsert(on): MergeInsertBuilder
 ```
 
-Create a [MergeInsertBuilder](MergeInsertBuilder.md), which combines new data with the
-existing table in a single transaction — inserting, updating and deleting
-rows depending on how they match.
-
 #### Parameters
 
 * **on**: `string` \| `string`[]
-    The column, or columns, to match source rows against target
-    rows on. Typically a key or id column. Several columns match on the
-    composite key: a source row updates a target row only when it agrees on
-    every one of them.
 
 #### Returns
 
@@ -950,7 +942,7 @@ Get the schema of the table.
 abstract search(
    query,
    queryType?,
-   ftsColumns?): Query | VectorQuery | AutoQuery
+   ftsColumns?): Query | VectorQuery
 ```
 
 Create a search query to find the nearest neighbors
@@ -972,7 +964,7 @@ of the given query
 
 #### Returns
 
-[`Query`](Query.md) \| [`VectorQuery`](VectorQuery.md) \| [`AutoQuery`](AutoQuery.md)
+[`Query`](Query.md) \| [`VectorQuery`](VectorQuery.md)
 
 ***
 
@@ -1300,18 +1292,6 @@ abstract updateFieldMetadata(updates): Promise<UpdateFieldMetadataResult>
 
 Update per-field (column) metadata.
 
-The following keys are treated specially, by convention, and should be
-used when appropriate:
-
-- `lancedb:description`: for a human-readable description of a field.
-- `lancedb:tag:<name>`: for a user-defined key-value tag, where the suffix
-  names the tag category; e.g. `lancedb:tag:model: "clip"`.
-- `lancedb:logical-column`: for a column grouping; e.g. `feature_v1` and
-  `feature_v2` might be in the same logical column.
-- `lancedb:status`: for status options (`production`, `candidate`,
-  `deprecated`, `archived`) to designate the current life cycle state of
-  this column.
-
 #### Parameters
 
 * **updates**: [`FieldMetadataUpdate`](../interfaces/FieldMetadataUpdate.md)[]

docs/src/js/globals.md

@@ -18,7 +18,6 @@
 
 ## Classes
 
-- [AutoQuery](classes/AutoQuery.md)
 - [BooleanQuery](classes/BooleanQuery.md)
 - [BoostQuery](classes/BoostQuery.md)
 - [BranchContents](classes/BranchContents.md)
@@ -96,13 +95,11 @@
 - [IvfFlatOptions](interfaces/IvfFlatOptions.md)
 - [IvfPqOptions](interfaces/IvfPqOptions.md)
 - [IvfRqOptions](interfaces/IvfRqOptions.md)
-- [JobEventsOptions](interfaces/JobEventsOptions.md)
+- [JobDescription](interfaces/JobDescription.md)
 - [JobFailureInfo](interfaces/JobFailureInfo.md)
 - [JobInfo](interfaces/JobInfo.md)
 - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md)
 - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md)
-- [ListTablesOptions](interfaces/ListTablesOptions.md)
-- [ListTablesResponse](interfaces/ListTablesResponse.md)
 - [LsmStats](interfaces/LsmStats.md)
 - [LsmWriteSpec](interfaces/LsmWriteSpec.md)
 - [MaterializedViewDefinition](interfaces/MaterializedViewDefinition.md)

docs/src/js/interfaces/FieldMetadataUpdate.md

@@ -17,8 +17,7 @@ metadata: Record<string, null | string>;
 ```
 
 Metadata key/value pairs. Merged into the field's existing metadata by
-default; a value of `null` deletes that key. See
-[Table.updateFieldMetadata](../classes/Table.md#updatefieldmetadata) for the conventional `lancedb:*` keys.
+default; a value of `null` deletes that key.
 
 ***
 

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".

docs/src/js/interfaces/JobEventsOptions.md

@@ -1,29 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / JobEventsOptions
-
-# Interface: JobEventsOptions
-
-Which of a job's events [Job.events](../classes/Job.md#events) returns.
-
-## Properties
-
-### filter?
-
-```ts
-optional filter: string;
-```
-
-SQL-like filter over the event columns.
-
-***
-
-### limit?
-
-```ts
-optional limit: number;
-```
-
-Maximum event rows to return, up to the server maximum of 10,000.

docs/src/js/interfaces/JobInfo.md

@@ -26,7 +26,7 @@ When the job was created, in milliseconds since the epoch.
 jobId: string;
 ```
 
-The job id -- what `Connection.openJob` and `Connection.cancelJob`
+The job id -- what `Connection.getJob` and `Connection.cancelJob`
 accept.
 
 ***

docs/src/js/interfaces/ListTablesOptions.md

@@ -1,34 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / ListTablesOptions
-
-# Interface: ListTablesOptions
-
-## Properties
-
-### limit?
-
-```ts
-optional limit: number;
-```
-
-An upper bound on how many tables to return.
-
-A page may hold fewer than this and still not be the last one, so keep
-going while the response carries a page token rather than while pages are
-full.
-
-***
-
-### pageToken?
-
-```ts
-optional pageToken: string;
-```
-
-Token from a previous response, to resume listing where it left off.
-
-The token is opaque: it carries whatever the database needs to resume, and
-callers should not construct or interpret one.

docs/src/js/interfaces/ListTablesResponse.md

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

docs/src/js/interfaces/MaterializedViewDefinition.md

@@ -50,16 +50,6 @@ projections: [string, string][];
 
 ***
 
-### sourceNamespace
-
-```ts
-sourceNamespace: string[];
-```
-
-Namespace holding the source table; empty is the root namespace.
-
-***
-
 ### sourceTable
 
 ```ts

docs/src/js/interfaces/TableNamesOptions.md

@@ -4,16 +4,11 @@
 
 [@lancedb/lancedb](../globals.md) / TableNamesOptions
 
-# Interface: ~~TableNamesOptions~~
-
-## Deprecated
-
-Use [ListTablesOptions](ListTablesOptions.md) with [Connection.listTables](../classes/Connection.md#listtables)
-instead.
+# Interface: TableNamesOptions
 
 ## Properties
 
-### ~~limit?~~
+### limit?
 
 ```ts
 optional limit: number;
@@ -23,7 +18,7 @@ An optional limit to the number of results to return.
 
 ***
 
-### ~~startAfter?~~
+### startAfter?
 
 ```ts
 optional startAfter: string;

docs/src/js/namespaces/embedding/functions/getRegistry.md

@@ -10,12 +10,16 @@
 function getRegistry(): EmbeddingFunctionRegistry
 ```
 
-Get the global embedding function registry.
-
-LanceDB built-in providers are initialized when this public API is first
-used, so importing the root package does not change automatic search
-selection for tables without embedding metadata.
+Utility function to get the global instance of the registry
 
 ## Returns
 
 [`EmbeddingFunctionRegistry`](../classes/EmbeddingFunctionRegistry.md)
+
+`EmbeddingFunctionRegistry` The global instance of the registry
+
+## Example
+
+```ts
+const registry = getRegistry();
+const openai = registry.get("openai").create();

docs/src/python/python.md

@@ -28,59 +28,6 @@ is also an [asynchronous API client](#connections-asynchronous).
 
 ::: lancedb.Session
 
-## Remote SQL
-
-Submit SQL against a remote LanceDB database through the connection.
-The connected database and `default_namespace_path=["public"]` are used for
-unqualified tables. Fully qualified references can still query other databases
-and namespaces available to the same deployment. `execute_query` returns a
-reader as soon as its initial result stream is available. `execute_query_async`
-returns a query handle immediately; use it to inspect progress, open a reader,
-or cancel the query. The SQL client is initialized by the first query and
-retained for the lifetime of the remote connection. Query ids are random,
-connection-scoped references rather than encoded SQL or durable resume tokens:
-
-```python
-import lancedb
-
-db = lancedb.connect(
-    "db://analytics",
-    api_key="ldb_...",
-    host_override="https://api.example.com",
-    sql_host_override="grpc+tls://sql.example.com:10026",
-)
-reader = db.execute_query(
-    """
-    SELECT events.id, accounts.name
-    FROM analytics.public.events AS events
-    JOIN users.public.accounts AS accounts ON events.user_id = accounts.id
-    """,
-    default_namespace_path=["public"],
-)
-for batch in reader:
-    print(batch.num_rows)
-
-query = db.execute_query_async("SELECT * FROM events")
-print(query.id)
-print(query.describe().status)
-for batch in query.reader():
-    print(batch.num_rows)
-
-# The async connection exposes the same lifecycle without blocking:
-# async_db = await lancedb.connect_async(
-#     "db://analytics",
-#     api_key="ldb_...",
-#     host_override="https://api.example.com",
-#     sql_host_override="grpc+tls://sql.example.com:10026",
-# )
-# reader = await async_db.execute_query("SELECT * FROM events")
-# query = await async_db.execute_query_async("SELECT * FROM events")
-# description = await async_db.describe_query(query.id)
-# async for batch in await query.reader():
-#     print(batch.num_rows)
-# await query.cancel()
-```
-
 ## Namespaces (Synchronous)
 
 A namespace-backed connection resolves tables through a
@@ -147,8 +94,6 @@ listing a storage directory.
 
 ::: lancedb.functions.OutputMapping
 
-::: lancedb.functions.AssignmentMapping
-
 ::: lancedb.functions.FunctionBinding
 
 ::: lancedb.functions.RefreshColumnResult
@@ -157,18 +102,6 @@ listing a storage directory.
 
 ::: lancedb.job.AsyncJob
 
-::: lancedb.job.JobInfo
-
-::: lancedb.job.JobDescription
-
-::: lancedb.job.JobFailureInfo
-
-::: lancedb.sql.Query
-
-::: lancedb.sql.AsyncQuery
-
-::: lancedb.sql.QueryDescription
-
 ## Materialized Views (Synchronous)
 
 ::: lancedb.materialized_view.MaterializedView
@@ -226,8 +159,6 @@ and combined with [BooleanQuery][lancedb.query.BooleanQuery].
 
 ::: lancedb.query.FullTextOperator
 
-::: lancedb.query.DocumentGranularity
-
 ::: lancedb.query.Occur
 
 ## Embeddings
@@ -290,14 +221,10 @@ tokens = list(
 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.BlobType` is `lance.blob.BlobType` when pylance is installed. Without
-pylance, LanceDB uses a matching `lance.blob.v2` extension type so blob columns
-still work. Queries return descriptors. Call
-[`fetch_blob_files`][lancedb.table.Table.fetch_blob_files] for lazy reads or
-[`fetch_blobs`][lancedb.table.Table.fetch_blobs] for eager bytes.
-
 ::: lancedb.blob
 
+::: lancedb.BlobType
+
 ::: lancedb._blob.BlobFile
     options:
       show_root_full_path: false
@@ -316,12 +243,6 @@ still work. Queries return descriptors. Call
 
 ::: lancedb.exceptions.MissingColumnError
 
-::: lancedb.exceptions.JobNotFoundError
-
-::: lancedb.exceptions.JobFailedError
-
-::: lancedb.exceptions.JobCancelledError
-
 ## Integrations
 
 ## Pydantic
@@ -340,8 +261,6 @@ still work. Queries return descriptors. Call
 
 ::: lancedb.streaming.StreamingDataset
 
-::: lancedb.streaming.StreamingDataLoader
-
 ::: lancedb.permutation.permutation_builder
 
 ::: lancedb.permutation.PermutationBuilder

docs/tsconfig.json

@@ -0,0 +1,17 @@
+{
+  "include": [
+    "src/*.ts",
+  ],
+  "compilerOptions": {
+    "target": "es2022",
+    "module": "nodenext",
+    "declaration": true,
+    "outDir": "./dist",
+    "strict": true,
+    "allowJs": true,
+    "resolveJsonModule": true,
+  },
+  "exclude": [
+    "./dist/*",
+  ]
+}

java/lancedb-core/pom.xml

@@ -8,7 +8,7 @@
     <parent>
       <groupId>com.lancedb</groupId>
       <artifactId>lancedb-parent</artifactId>
-      <version>0.39.0-beta.4</version>
+      <version>0.38.0-beta.6</version>
       <relativePath>../pom.xml</relativePath>
     </parent>
 

java/pom.xml

@@ -6,7 +6,7 @@
 
     <groupId>com.lancedb</groupId>
     <artifactId>lancedb-parent</artifactId>
-    <version>0.39.0-beta.4</version>
+    <version>0.38.0-beta.6</version>
     <packaging>pom</packaging>
     <name>${project.artifactId}</name>
     <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
     <properties>
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
         <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>12.0.0-beta.14</lance-core.version>
+        <lance-core.version>11.0.0-rc.1</lance-core.version>
         <spotless.skip>false</spotless.skip>
         <spotless.version>2.30.0</spotless.version>
         <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>

nodejs/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.39.0-beta.4"
+version = "0.38.0-beta.6"
 publish = false
 license.workspace = true
 description.workspace = true

nodejs/__test__/arrow.test.ts

@@ -1,16 +1,11 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
-import * as fs from "node:fs";
-import * as vm from "node:vm";
 import * as arrow15 from "apache-arrow-15";
 import * as arrow16 from "apache-arrow-16";
 import * as arrow17 from "apache-arrow-17";
 import * as arrow18 from "apache-arrow-18";
 
 import {
-  Field as CurrentField,
-  LargeBinary as CurrentLargeBinary,
-  Schema as CurrentSchema,
   Vector as CurrentVector,
   convertToTable,
   tableFromIPC as currentTableFromIPC,
@@ -41,59 +36,6 @@ function sampleRecords(): Array<Record<string, any>> {
     },
   ];
 }
-
-it("serializes an Arrow Table created in another JavaScript realm", async () => {
-  const context = vm.createContext({
-    TextDecoder,
-    TextEncoder,
-    console,
-    setTimeout,
-    clearTimeout,
-  });
-  vm.runInContext(
-    fs.readFileSync(
-      require.resolve("apache-arrow-15/Arrow.es2015.min"),
-      "utf8",
-    ),
-    context,
-  );
-  const foreignTable: unknown = vm.runInContext(
-    "Arrow.tableFromArrays({ id: new Int32Array([1, 2, 3]), text: ['foo', 'bar', 'baz'] })",
-    context,
-  );
-
-  const foreignMetadata = (
-    foreignTable as { schema: { metadata: Map<string, string> } }
-  ).schema.metadata;
-  expect(foreignMetadata).not.toBeInstanceOf(Map);
-
-  const buf = await fromDataToBuffer(
-    foreignTable as Parameters<typeof fromDataToBuffer>[0],
-  );
-  const actual = currentTableFromIPC(buf);
-
-  expect(actual.numRows).toBe(3);
-  expect(actual.getChild("id")?.toJSON()).toEqual([1, 2, 3]);
-  expect(actual.getChild("text")?.toJSON()).toEqual(["foo", "bar", "baz"]);
-});
-
-it("preserves field metadata from a provided schema", async function () {
-  const jsonMetadata = new Map([["ARROW:extension:name", "lance.json"]]);
-  const schema = new CurrentSchema([
-    new CurrentField("meta", new CurrentLargeBinary(), true, jsonMetadata),
-  ]);
-
-  const table = makeArrowTable(
-    [{ meta: Buffer.from(JSON.stringify({ source: "test" })) }],
-    { schema },
-  );
-
-  expect(table.schema.fields[0].metadata).toEqual(jsonMetadata);
-
-  const roundTripped = currentTableFromIPC(await fromTableToBuffer(table));
-  expect(roundTripped.schema.fields[0].metadata).toEqual(jsonMetadata);
-});
-
 describe.each([arrow15, arrow16, arrow17, arrow18])(
   "Arrow",
   (
@@ -573,137 +515,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
         );
       });
 
-      it("will allow matching inferred types across records", function () {
-        expect(() =>
-          makeArrowTable([{ value: 1 }, { value: 2 }]),
-        ).not.toThrow();
-      });
-
-      it("will reject mismatched inferred types across records", function () {
-        expect(() => makeArrowTable([{ value: 1 }, { value: "two" }])).toThrow(
-          "Failed to infer schema for data. Previously inferred type Float64 but found Utf8 for field value at row 1. Consider providing an explicit schema.",
-        );
-      });
-
-      it("will ignore generated dictionary IDs when comparing inferred types", function () {
-        const table = makeArrowTable([{ str: "a" }, { str: "b" }], {
-          dictionaryEncodeStrings: true,
-        });
-
-        expect(table.getChild("str")?.toJSON()).toEqual(["a", "b"]);
-      });
-
-      it("will preserve null values without treating them as type mismatches", function () {
-        for (const records of [
-          [{ vector: [1, 2, 3] }, { vector: null }],
-          [{ vector: null }, { vector: [1, 2, 3] }],
-        ]) {
-          const table = makeArrowTable(records);
-
-          expect(table.numRows).toBe(2);
-          expect(table.getChild("vector")?.nullCount).toBe(1);
-        }
-      });
-
-      it("will preserve empty variable-size lists", function () {
-        for (const records of [
-          [{ items: [1] }, { items: [] }],
-          [{ items: [] }, { items: [1] }],
-        ]) {
-          const table = makeArrowTable(records);
-          expect(
-            table
-              .getChild("items")
-              ?.toJSON()
-              .map((value) => value.toJSON()),
-          ).toEqual(records.map((record) => record.items));
-        }
-      });
-
-      it("will propagate deferred evidence through nested lists", function () {
-        for (const records of [
-          [{ items: [1] }, { items: [null] }],
-          [{ items: [null] }, { items: [1] }],
-          [{ items: [null, 1] }, { items: [2, null] }],
-        ]) {
-          const table = makeArrowTable(records);
-          expect(
-            table
-              .getChild("items")
-              ?.toJSON()
-              .map((value) => value.toJSON()),
-          ).toEqual(records.map((record) => record.items));
-        }
-
-        const nestedRecords = [{ items: [[1]] }, { items: [[null]] }];
-        const nestedTable = makeArrowTable(nestedRecords);
-        expect(
-          nestedTable
-            .getChild("items")
-            ?.toJSON()
-            .map((value) =>
-              value
-                .toJSON()
-                .map((nestedValue: { toJSON: () => unknown[] }) =>
-                  nestedValue.toJSON(),
-                ),
-            ),
-        ).toEqual(nestedRecords.map((record) => record.items));
-      });
-
-      it("will reject incompatible deferred evidence within a list", function () {
-        for (const items of [
-          [[], 1],
-          [1, []],
-          [[null], 1],
-          [1, [null]],
-        ]) {
-          expect(() => makeArrowTable([{ items }])).toThrow(
-            "Failed to infer data type for field items at row 0.",
-          );
-        }
-      });
-
-      it("will reject empty fixed-size lists", function () {
-        expect(() =>
-          makeArrowTable([{ vector: [1, 2, 3] }, { vector: [] }]),
-        ).toThrow(
-          "Failed to infer schema for data. Previously inferred type FixedSizeList[3]<Float32> but found List[0] for field vector at row 1.",
-        );
-      });
-
-      it("will reject inferred leaf and branch shape changes", function () {
-        expect(() =>
-          makeArrowTable([{ value: 1 }, { value: { nested: 2 } }]),
-        ).toThrow(
-          "Failed to infer schema for data. Previously inferred type Float64 but found Struct for field value at row 1.",
-        );
-        expect(() =>
-          makeArrowTable([{ value: { nested: 1 } }, { value: 2 }]),
-        ).toThrow(
-          "Failed to infer schema for data. Previously inferred type Struct but found Float64 for field value at row 1.",
-        );
-      });
-
-      it("will allow null values around inferred struct values", function () {
-        for (const { records, nullIndex } of [
-          {
-            records: [{ value: null }, { value: { nested: 2 } }],
-            nullIndex: 0,
-          },
-          {
-            records: [{ value: { nested: 1 } }, { value: null }],
-            nullIndex: 1,
-          },
-        ]) {
-          const table = makeArrowTable(records);
-          const values = table.getChild("value");
-
-          expect(values?.nullCount).toBe(1);
-          expect(values?.get(nullIndex)).toBeNull();
-        }
-      });
-
       it("will allow a schema to be provided", async function () {
         await checkTableCreation(
           async (records, _, schema) =>

nodejs/__test__/connection.test.ts

@@ -4,13 +4,7 @@
 import { readdirSync } from "fs";
 import { Field, Float64, Schema } from "apache-arrow";
 import * as tmp from "tmp";
-import {
-  Connection,
-  ListTablesResponse,
-  Table,
-  connect,
-  connectNamespace,
-} from "../lancedb";
+import { Connection, Table, connect, connectNamespace } from "../lancedb";
 import { LocalTable } from "../lancedb/table";
 
 describe("when connecting", () => {
@@ -53,7 +47,6 @@ describe("given a connection", () => {
     await db.close();
     expect(db.isOpen()).toBe(false);
     await expect(db.tableNames()).rejects.toThrow("Connection is closed");
-    await expect(db.listTables()).rejects.toThrow("Connection is closed");
     await expect(db.renameTable("a", "b")).rejects.toThrow(
       "Connection is closed",
     );
@@ -136,66 +129,6 @@ describe("given a connection", () => {
     expect(tables).toEqual(["b", "c"]);
   });
 
-  it("should respect limit and page token when listing tables", async () => {
-    const db = await connect(tmpDir.name);
-
-    await db.createTable("b", [{ id: 1 }]);
-    await db.createTable("a", [{ id: 1 }]);
-    await db.createTable("c", [{ id: 1 }]);
-
-    const all = await db.listTables();
-    expect(all.tables).toEqual(["a", "b", "c"]);
-    expect(all.pageToken).toBeUndefined();
-
-    const first = await db.listTables({ limit: 1 });
-    expect(first.tables).toEqual(["a"]);
-    expect(first.pageToken).toBeDefined();
-
-    const second = await db.listTables({
-      limit: 1,
-      pageToken: first.pageToken,
-    });
-    expect(second.tables).toEqual(["b"]);
-  });
-
-  it("should visit every table exactly once when walking pages", async () => {
-    const db = await connect(tmpDir.name);
-
-    const created = ["a", "b", "c", "d", "e"];
-    for (const name of created) {
-      await db.createTable(name, [{ id: 1 }]);
-    }
-
-    const seen: string[] = [];
-    let pageToken: string | undefined = undefined;
-    do {
-      const page: ListTablesResponse = await db.listTables({
-        limit: 2,
-        pageToken,
-      });
-      seen.push(...page.tables);
-      pageToken = page.pageToken;
-    } while (pageToken);
-
-    expect(seen).toEqual(created);
-  });
-
-  it("should list tables in a namespace", async () => {
-    const db = await connect(tmpDir.name, {
-      // biome-ignore lint/style/useNamingConvention: opaque backend property key, must match Rust
-      namespaceClientProperties: { manifest_enabled: "true" },
-    });
-    await db.createNamespace(["child"]);
-    await db.createTable("nested", [{ id: 1 }], ["child"]);
-
-    await expect(db.listTables(["child"])).resolves.toEqual(
-      expect.objectContaining({ tables: ["nested"] }),
-    );
-    await expect(db.listTables()).resolves.toEqual(
-      expect.objectContaining({ tables: [] }),
-    );
-  });
-
   it("should create tables in v2 mode", async () => {
     const db = await connect(tmpDir.name);
     const data = [...Array(10000).keys()].map((i) => ({ id: i }));

nodejs/__test__/embedding.test.ts

@@ -187,58 +187,6 @@ describe("embedding functions", () => {
     const vector0 = JSON.parse(JSON.stringify(arr[0].vector));
     expect(vector0).toEqual([1, 2, 3]);
   });
-  it("should append multiple Python embeddings with the same alias", async () => {
-    @register("python-mock")
-    // biome-ignore lint/correctness/noUnusedVariables: the decorator registers this class
-    class MockEmbeddingFunction extends EmbeddingFunction<string> {
-      ndims() {
-        return 3;
-      }
-      embeddingDataType(): Float {
-        return new Float32();
-      }
-      async computeQueryEmbeddings(_data: string) {
-        return [1, 2, 3];
-      }
-      async computeSourceEmbeddings(data: string[]) {
-        return data.map((value) =>
-          value === "hello world" ? [1, 2, 3] : [4, 5, 6],
-        );
-      }
-    }
-
-    const metadata = new Map([
-      [
-        "embedding_functions",
-        '[{"source_column":"text1","vector_column":"vector1","name":"python-mock","model":{}},{"source_column":"text2","vector_column":"vector2","name":"python-mock","model":{}}]',
-      ],
-    ]);
-    const schema = new Schema(
-      [
-        new Field("text1", new Utf8(), true),
-        new Field("text2", new Utf8(), true),
-        new Field(
-          "vector1",
-          new FixedSizeList(3, new Field("item", new Float32(), true)),
-          true,
-        ),
-        new Field(
-          "vector2",
-          new FixedSizeList(3, new Field("item", new Float32(), true)),
-          true,
-        ),
-      ],
-      metadata,
-    );
-
-    const db = await connect(tmpDir.name);
-    const table = await db.createEmptyTable("test", schema);
-    await table.add([{ text1: "hello world", text2: "goodbye world" }]);
-
-    const rows = await table.query().toArray();
-    expect(JSON.parse(JSON.stringify(rows[0].vector1))).toEqual([1, 2, 3]);
-    expect(JSON.parse(JSON.stringify(rows[0].vector2))).toEqual([4, 5, 6]);
-  });
 
   it("should append generated vectors to a non-nullable schema", async () => {
     @register("non_nullable_schema_test")

nodejs/__test__/embedding_registry.test.ts

@@ -1,95 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import { execFileSync } from "node:child_process";
-import { resolve } from "node:path";
-
-import type { OpenAIEmbeddingFunction } from "../lancedb/embedding/openai";
-import type { EmbeddingFunctionRegistry } from "../lancedb/embedding/registry";
-
-type EmbeddingModule = typeof import("../lancedb/embedding");
-type OpenAIModule = typeof import("../lancedb/embedding/openai");
-type RegistryModule = typeof import("../lancedb/embedding/registry");
-
-describe("embedding function registry", () => {
-  const registries: EmbeddingFunctionRegistry[] = [];
-
-  afterEach(() => {
-    for (const registry of registries) {
-      registry.reset();
-    }
-    registries.length = 0;
-  });
-
-  it("defers built-in providers until the public registry API is used", () => {
-    jest.isolateModules(() => {
-      const embedding = require("../lancedb/embedding") as EmbeddingModule;
-      const { getRegistry: getInternalRegistry } =
-        require("../lancedb/embedding/registry") as RegistryModule;
-      const registry = getInternalRegistry();
-      registries.push(registry);
-
-      expect(registry.length()).toBe(0);
-      expect(embedding.getRegistry()).toBe(registry);
-      expect(registry.get("openai")).toBeDefined();
-      expect(registry.get("huggingface")).toBeDefined();
-    });
-  });
-
-  it("preserves automatic FTS search in a fresh process", () => {
-    execFileSync(
-      process.execPath,
-      [resolve(__dirname, "fixtures", "auto_fts_search.cjs")],
-      { stdio: "pipe" },
-    );
-  });
-
-  it("shares registrations across duplicated provider module graphs", () => {
-    let registeringRegistry: EmbeddingFunctionRegistry | undefined;
-    let latestOpenAIConstructor: typeof OpenAIEmbeddingFunction | undefined;
-
-    jest.isolateModules(() => {
-      require("../lancedb/embedding/openai");
-      const { getRegistry } =
-        require("../lancedb/embedding/registry") as RegistryModule;
-      registeringRegistry = getRegistry();
-      registries.push(registeringRegistry);
-      expect(registeringRegistry.get("openai")).toBeDefined();
-    });
-
-    expect(() => {
-      jest.isolateModules(() => {
-        const { OpenAIEmbeddingFunction } =
-          require("../lancedb/embedding/openai") as OpenAIModule;
-        latestOpenAIConstructor = OpenAIEmbeddingFunction;
-        const { getRegistry } =
-          require("../lancedb/embedding/registry") as RegistryModule;
-        registries.push(getRegistry());
-      });
-    }).not.toThrow();
-
-    const previousApiKey = process.env.OPENAI_API_KEY;
-    process.env.OPENAI_API_KEY = "test";
-    try {
-      const latestOpenAI = registeringRegistry!
-        .get<OpenAIEmbeddingFunction>("openai")!
-        .create();
-      expect(latestOpenAI).toBeInstanceOf(latestOpenAIConstructor!);
-    } finally {
-      if (previousApiKey === undefined) {
-        delete process.env.OPENAI_API_KEY;
-      } else {
-        process.env.OPENAI_API_KEY = previousApiKey;
-      }
-    }
-
-    jest.isolateModules(() => {
-      const { getRegistry } =
-        require("../lancedb/embedding") as EmbeddingModule;
-      const publicRegistry = getRegistry();
-      registries.push(publicRegistry);
-      expect(publicRegistry).toBe(registeringRegistry);
-      expect(publicRegistry.get("openai")).toBeDefined();
-    });
-  });
-});

nodejs/__test__/fixtures/auto_fts_search.cjs

@@ -1,33 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-const assert = require("node:assert/strict");
-const tmp = require("tmp");
-const { connect, embedding, Index } = require("../../dist");
-const { getRegistry } = require("../../dist/embedding/registry");
-
-async function main() {
-  assert.equal(typeof embedding.getRegistry, "function");
-  assert.equal(getRegistry().length(), 0);
-  assert.equal(embedding.getRegistry(), getRegistry());
-  assert.equal(getRegistry().length(), 2);
-
-  const dir = tmp.dirSync({ unsafeCleanup: true });
-  let db;
-  try {
-    db = await connect(dir.name);
-    const table = await db.createTable("docs", [{ text: "hello world" }]);
-    await table.createIndex("text", { config: Index.fts() });
-
-    const rows = await table.search("hello").toArray();
-    assert.equal(rows[0].text, "hello world");
-  } finally {
-    db?.close();
-    dir.removeCallback();
-  }
-}
-
-main().catch((error) => {
-  console.error(error);
-  process.exitCode = 1;
-});

nodejs/__test__/materialized_view.test.ts

@@ -48,28 +48,6 @@ describe("materialized views", () => {
     expect(definitionFromMetadata(safe, "v").limit).toBe(42);
   });
 
-  it("reads the namespaced select kind and refuses unknown kinds", () => {
-    // "namespaced_select" is the namespaced form of "select": same shape, a
-    // separate kind so readers that predate it refuse instead of resolving
-    // the source at the root.
-    const namespaced = new Map([
-      [
-        DEFINITION_META_KEY,
-        '{"kind":"namespaced_select","source_table":"people","source_namespace":["ns"]}',
-      ],
-    ]);
-    const definition = definitionFromMetadata(namespaced, "v");
-    expect(definition.sourceTable).toBe("people");
-    expect(definition.sourceNamespace).toEqual(["ns"]);
-
-    const unknown = new Map([
-      [DEFINITION_META_KEY, '{"kind":"select_v3","source_table":"people"}'],
-    ]);
-    expect(() => definitionFromMetadata(unknown, "v")).toThrow(
-      /cannot refresh/,
-    );
-  });
-
   it("creates, refreshes and queries a view", async () => {
     const view = await db.createMaterializedView("adults", "people", {
       select: ["name", ["shout", "upper(name)"]],

nodejs/__test__/package.test.ts

@@ -5,8 +5,8 @@ import packageJson = require("../package.json");
 
 describe("package metadata", () => {
   it("requires Node.js type declarations compatible with the runtime", () => {
-    expect(packageJson.engines.node).toBe(">= 22");
-    expect(packageJson.peerDependencies["@types/node"]).toBe(">=22");
+    expect(packageJson.engines.node).toBe(">= 18");
+    expect(packageJson.peerDependencies["@types/node"]).toBe(">=18");
     expect(packageJson.peerDependenciesMeta["@types/node"]).toEqual({
       optional: true,
     });

nodejs/__test__/remote.test.ts

@@ -3,7 +3,6 @@
 
 import * as http from "http";
 import { RequestListener } from "http";
-import packageJson = require("../package.json");
 import {
   ClientConfig,
   Connection,
@@ -71,13 +70,7 @@ async function withMockDatabase(
   try {
     await callback(db);
   } finally {
-    // `close()` alone leaves the port bound until keep-alive sockets drain, so
-    // a single failing test would cascade into EADDRINUSE for every test after
-    // it. Destroy the connections and wait for the port to actually be free.
-    await new Promise<void>((resolve) => {
-      server.closeAllConnections();
-      server.close(() => resolve());
-    });
+    server.close();
   }
 }
 
@@ -138,7 +131,7 @@ describe("remote connection", () => {
       (req, res) => {
         expect(req.headers["x-api-key"]).toEqual("fake");
         expect(req.headers["user-agent"]).toEqual(
-          `LanceDB-Node-Client/${packageJson.version}`,
+          `LanceDB-Node-Client/${process.env.npm_package_version}`,
         );
 
         const body = JSON.stringify({ tables: [] });
@@ -939,7 +932,6 @@ describe("remote connection jobs surface", () => {
     const { tableFromArrays, tableToIPC } = await import("apache-arrow");
     const eventsTable = tableFromArrays({ state: ["created", "succeeded"] });
     const eventsBody = Buffer.from(tableToIPC(eventsTable, "stream"));
-    const queryEventsPayloads: Record<string, unknown>[] = [];
 
     await withMockDatabase(
       (req, res) => {
@@ -968,16 +960,6 @@ describe("remote connection jobs surface", () => {
                 );
             }
           } else if (req.url === "/v1/jobs/describe") {
-            if (payload["job_id"] === "job-2") {
-              res
-                .writeHead(200, { "Content-Type": "application/json" })
-                .end(
-                  '{"job_id": "job-2", "job_type": "refresh_column", ' +
-                    '"job_state": "DONE", "creation_ms": 2000, ' +
-                    '"result": {"rows_assigned": 1000000}}',
-                );
-              return;
-            }
             if (payload["job_id"] !== "job-1") {
               res.writeHead(404).end("no such job");
               return;
@@ -999,7 +981,6 @@ describe("remote connection jobs surface", () => {
               .writeHead(200, { "Content-Type": "application/json" })
               .end('{"job_id": "job-1"}');
           } else if (req.url === "/v1/jobs/query_events") {
-            queryEventsPayloads.push(payload);
             res
               .writeHead(200, {
                 "Content-Type": "application/vnd.apache.arrow.stream",
@@ -1016,65 +997,22 @@ describe("remote connection jobs surface", () => {
         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);
 
-        // Opening a job hands back a populated handle; a missing one rejects.
-        await expect(db.openJob("missing")).rejects.toThrow("not found");
-        const finished = await db.openJob("job-2");
-        expect(finished.state).toEqual("finished");
-        expect(finished.result).toEqual({
-          // biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
-          rows_assigned: 1000000,
-        });
+        const history = await db.jobHistory("job-1");
+        expect(history.numRows).toEqual(2);
 
-        const job = await db.openJob("job-1");
+        const job = db.job("job-1");
         expect(job.id).toEqual("job-1");
-
-        // openJob already populated the handle; refresh() re-reads it.
-        expect(job.state).toEqual("failed");
-        await job.refresh();
-        expect(job.state).toEqual("failed");
-        expect(job.jobType).toEqual("create_index");
-        expect(job.creationMs).toEqual(1000);
-        expect(job.spec).toEqual({ column: "vec" });
-        expect(job.result).toBeNull();
-        expect(job.failure?.message).toEqual("worker died");
-
-        // The handle reaches its own events, supplying its job id.
-        const jobEvents = await job.events({
-          limit: 500,
-          filter: "state = 'claim_complete'",
-        });
-        expect(jobEvents.numRows).toEqual(2);
-        expect(queryEventsPayloads.pop()).toEqual({
-          // biome-ignore lint/style/useNamingConvention: snake_case mandated by the server wire format
-          job_id: "job-1",
-          limit: 500,
-          filter: "state = 'claim_complete'",
-        });
-
-        // Printing lays every known field out on its own line, with the JSON
-        // payloads indented rather than crammed onto one line.
-        expect(`${job}`).toEqual(
-          [
-            "Job(",
-            '    id="job-1",',
-            '    state="failed",',
-            '    jobType="create_index",',
-            "    creationMs=1000,",
-            "    spec={",
-            '        "column": "vec"',
-            "    },",
-            "    failure={",
-            '        "phase": "execute",',
-            '        "message": "worker died",',
-            '        "retryable": true',
-            "    },",
-            ")",
-          ].join("\n"),
-        );
-
         expect(await job.status()).toEqual("failed");
         await expect(job.wait()).rejects.toThrow("worker died");
       },

nodejs/__test__/table.test.ts

@@ -11,13 +11,10 @@ import * as arrow17 from "apache-arrow-17";
 import * as arrow18 from "apache-arrow-18";
 
 import {
-  AutoQuery,
   Connection,
   MatchQuery,
   PhraseQuery,
-  Query,
   Table,
-  VectorQuery,
   connect,
   tokenize,
 } from "../lancedb";
@@ -685,64 +682,13 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
   },
 );
 
-// https://github.com/lancedb/lancedb/issues/1963
-it("should query documents with LangChain PDF metadata", async () => {
-  const tmpDir = tmp.dirSync({ unsafeCleanup: true });
-  try {
-    const db = await connect(tmpDir.name);
-    const documents = [
-      {
-        text: "first page",
-        vector: [1, 0],
-        source: "first.pdf",
-        loc: { pageNumber: 1, lines: { from: 1, to: 12 } },
-        pdf: {
-          version: "1.10.100",
-          info: {
-            format: "PDF 1.7",
-            producer: "pdf.js",
-            creator: "Writer",
-          },
-          totalPages: 2,
-        },
-      },
-      {
-        text: "second page",
-        vector: [0, 1],
-        source: "second.pdf",
-        loc: { pageNumber: 2, lines: { from: 13, to: 24 } },
-        pdf: {
-          version: "1.10.100",
-          info: {
-            format: "PDF 1.7",
-            producer: "pdf.js",
-            creator: "Writer",
-          },
-          totalPages: 2,
-        },
-      },
-    ];
-    const documentsTable = await db.createTable("documents", documents);
-
-    const results = await documentsTable.query().toArray();
-
-    expect(results).toHaveLength(2);
-    expect(results[0].source).toBe("first.pdf");
-    expect(results[0].pdf.info.producer).toBe("pdf.js");
-    expect(results[1].loc.pageNumber).toBe(2);
-  } finally {
-    tmpDir.removeCallback();
-  }
-});
-
 describe("merge insert", () => {
   let tmpDir: tmp.DirResult;
-  let conn: Connection;
   let table: Table;
 
   beforeEach(async () => {
     tmpDir = tmp.dirSync({ unsafeCleanup: true });
-    conn = await connect(tmpDir.name);
+    const conn = await connect(tmpDir.name);
 
     table = await conn.createTable("some_table", [
       { a: 1, b: "a" },
@@ -780,38 +726,6 @@ describe("merge insert", () => {
 
     expect(result.map((row) => ({ ...row }))).toEqual(expected);
   });
-  test("upsert on a composite key", async () => {
-    const composite = await conn.createTable("composite", [
-      { shard: "a", id: 1, val: "x" },
-      { shard: "a", id: 2, val: "y" },
-      { shard: "b", id: 1, val: "z" },
-    ]);
-
-    // ("a", 1) matches an existing row and updates it. ("b", 2) agrees with an
-    // existing row on each key column separately but on neither pair, so it is
-    // an insert.
-    const mergeInsertRes = await composite
-      .mergeInsert(["shard", "id"])
-      .whenMatchedUpdateAll()
-      .whenNotMatchedInsertAll()
-      .execute([
-        { shard: "a", id: 1, val: "X" },
-        { shard: "b", id: 2, val: "W" },
-      ]);
-    expect(mergeInsertRes.numUpdatedRows).toBe(1);
-    expect(mergeInsertRes.numInsertedRows).toBe(1);
-
-    const result = (await composite.toArrow())
-      .toArray()
-      .sort((a, b) => a.shard.localeCompare(b.shard) || a.id - b.id);
-
-    expect(result.map((row) => ({ ...row }))).toEqual([
-      { shard: "a", id: 1, val: "X" },
-      { shard: "a", id: 2, val: "y" },
-      { shard: "b", id: 1, val: "z" },
-      { shard: "b", id: 2, val: "W" },
-    ]);
-  });
   test("conditional update", async () => {
     const newData = [
       { a: 2, b: "x" },
@@ -1863,194 +1777,6 @@ describe("Read consistency interval", () => {
   });
 });
 
-describe("automatic search schema consistency", () => {
-  let tmpDir: tmp.DirResult;
-
-  class SchemaRefreshEmbedding extends EmbeddingFunction<string> {
-    ndims() {
-      return 2;
-    }
-
-    embeddingDataType() {
-      return new Float32();
-    }
-
-    async computeSourceEmbeddings(data: string[]) {
-      return data.map((value) => [value.length, 1]);
-    }
-
-    async computeQueryEmbeddings(value: string) {
-      return [value.length, 1];
-    }
-  }
-
-  function embeddingSchema() {
-    const func = new SchemaRefreshEmbedding();
-    return LanceSchema({
-      text: func.sourceField(new Utf8()),
-      vector: func.vectorField(),
-    });
-  }
-
-  beforeEach(() => {
-    getRegistry().reset();
-    register("schema-refresh")(SchemaRefreshEmbedding);
-    tmpDir = tmp.dirSync({ unsafeCleanup: true });
-  });
-
-  afterEach(() => {
-    getRegistry().reset();
-    tmpDir.removeCallback();
-  });
-
-  it("uses the schema refreshed from another connection", async () => {
-    const first = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-    const second = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-
-    try {
-      const stale = await first.createTable("docs", [{ text: "before" }], {
-        schema: embeddingSchema(),
-      });
-      const replacement = await second.createTable(
-        "docs",
-        [{ text: "after hello" }],
-        { mode: "overwrite" },
-      );
-      await replacement.createIndex("text", { config: Index.fts() });
-
-      const search = stale.search("hello");
-      expect(search).toBeInstanceOf(AutoQuery);
-      expect(search).not.toBeInstanceOf(Query);
-      expect(search).not.toBeInstanceOf(VectorQuery);
-      expect("nprobes" in search).toBe(false);
-
-      const rows = await search.toArray();
-      expect(rows[0].text).toBe("after hello");
-      expect((await stale.schema()).metadata.has("embedding_functions")).toBe(
-        false,
-      );
-    } finally {
-      first.close();
-      second.close();
-    }
-  });
-
-  it("tracks embedding metadata across checkout and restore", async () => {
-    const first = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-    const second = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-
-    try {
-      await first.createTable("docs", [{ text: "before" }], {
-        schema: embeddingSchema(),
-      });
-      const table = await second.createTable(
-        "docs",
-        [{ text: "after hello" }],
-        { mode: "overwrite" },
-      );
-      await table.createIndex("text", { config: Index.fts() });
-
-      await table.checkout(1);
-      expect((await table.search("before").toArray())[0].text).toBe("before");
-
-      await table.checkoutLatest();
-      expect((await table.search("hello").toArray())[0].text).toBe(
-        "after hello",
-      );
-
-      await table.checkout(1);
-      await table.restore();
-      expect((await table.search("before").toArray())[0].text).toBe("before");
-    } finally {
-      first.close();
-      second.close();
-    }
-  });
-
-  it("pins automatic search while computing an embedding", async () => {
-    let markStarted!: () => void;
-    let releaseEmbedding!: () => void;
-    const started = new Promise<void>((resolve) => {
-      markStarted = resolve;
-    });
-    const released = new Promise<void>((resolve) => {
-      releaseEmbedding = resolve;
-    });
-
-    class BlockingEmbedding extends SchemaRefreshEmbedding {
-      async computeQueryEmbeddings(value: string) {
-        markStarted();
-        await released;
-        return [value.length, 1];
-      }
-    }
-
-    register("schema-refresh-blocking")(BlockingEmbedding);
-    const func = new BlockingEmbedding();
-    const schema = LanceSchema({
-      text: func.sourceField(new Utf8()),
-      vector: func.vectorField(),
-    });
-    const first = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-    const second = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-
-    try {
-      const table = await first.createTable(
-        "docs",
-        [{ text: "hello before" }],
-        { schema },
-      );
-      const pending = table.search("hello").toArray();
-      await started;
-
-      const replacement = await second.createTable(
-        "docs",
-        [{ text: "hello after" }],
-        { mode: "overwrite" },
-      );
-      await replacement.createIndex("text", { config: Index.fts() });
-      releaseEmbedding();
-
-      expect((await pending)[0].text).toBe("hello before");
-    } finally {
-      releaseEmbedding();
-      first.close();
-      second.close();
-    }
-  });
-
-  it("refreshes a reused automatic search for every execution", async () => {
-    const first = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-    const second = await connect(tmpDir.name, { readConsistencyInterval: 0 });
-
-    try {
-      const table = await first.createTable("docs", [
-        { text: "hello before", marker: "before" },
-      ]);
-      await table.createIndex("text", { config: Index.fts() });
-      const search = table.search("hello").select(["text"]);
-
-      const before = (await search.toArray())[0];
-      expect(before.text).toBe("hello before");
-      expect(before.marker).toBeUndefined();
-
-      const replacement = await second.createTable(
-        "docs",
-        [{ text: "hello after", marker: "after" }],
-        { mode: "overwrite" },
-      );
-      await replacement.createIndex("text", { config: Index.fts() });
-
-      const after = (await search.toArray())[0];
-      expect(after.text).toBe("hello after");
-      expect(after.marker).toBeUndefined();
-    } finally {
-      first.close();
-      second.close();
-    }
-  });
-});
-
 describe("schema evolution", function () {
   let tmpDir: tmp.DirResult;
   beforeEach(() => {
@@ -2618,24 +2344,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       );
     });
 
-    test("full text search if only an unrelated embedding function is registered", async () => {
-      register("unused")(
-        class extends EmbeddingFunction<string> {
-          ndims() {
-            return 3;
-          }
-          embeddingDataType() {
-            return new Float32();
-          }
-          async computeQueryEmbeddings(_data: string) {
-            return [1, 2, 3];
-          }
-          async computeSourceEmbeddings(data: string[]) {
-            return data.map(() => [1, 2, 3]);
-          }
-        },
-      );
-
+    test("full text search if no embedding function provided", async () => {
       const db = await connect(tmpDir.name);
       const data = [
         { text: "hello world", vector: [0.1, 0.2, 0.3] },
@@ -2657,306 +2366,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
       expect(results2[0].text).toBe(data[1].text);
     });
 
-    test("auto search stays consistent with the active revision", async () => {
-      let initCalls = 0;
-      let queryCalls = 0;
-      let markStarted!: () => void;
-      const started = new Promise<void>((resolve) => {
-        markStarted = resolve;
-      });
-      let releaseEmbedding!: () => void;
-      const embeddingReleased = new Promise<void>((resolve) => {
-        releaseEmbedding = resolve;
-      });
-
-      @register("refresh-test")
-      class TestEmbedding extends EmbeddingFunction<string> {
-        async init() {
-          initCalls += 1;
-        }
-        ndims() {
-          return 1;
-        }
-        embeddingDataType() {
-          return new arrow.Float32();
-        }
-        async computeQueryEmbeddings(value: string) {
-          queryCalls += 1;
-          if (value === "blocked") {
-            markStarted();
-            await embeddingReleased;
-          }
-          return value === "greetings" ? [0.1] : [0.2];
-        }
-        async computeSourceEmbeddings(values: string[]) {
-          return values.map((value) =>
-            value === "hello world" ? [0.1] : [0.2],
-          );
-        }
-      }
-
-      const writer = await connect(tmpDir.name);
-      await writer.createTable("test", [{ text: "plain", vector: [0.0] }]);
-      const reader = await connect(tmpDir.name, {
-        readConsistencyInterval: 0,
-      });
-      const tracked = await reader.openTable("test");
-      type SnapshotCountingNative = {
-        querySnapshot: () => Promise<unknown>;
-      };
-      const native = (tracked as unknown as { inner: SnapshotCountingNative })
-        .inner;
-      const querySnapshot = native.querySnapshot.bind(native);
-      let snapshotCalls = 0;
-      native.querySnapshot = async () => {
-        snapshotCalls += 1;
-        return await querySnapshot();
-      };
-      const autoQuery = tracked.search("greetings").select(["text"]).limit(1);
-
-      const func = new TestEmbedding();
-      const schema = LanceSchema({
-        text: func.sourceField(new arrow.Utf8()),
-        vector: func.vectorField(),
-      });
-      const data = [{ text: "hello world" }, { text: "goodbye world" }];
-      await writer.createTable("test", data, { mode: "overwrite", schema });
-      const baselineInitCalls = initCalls;
-
-      expect(
-        (await tracked.schema()).metadata.get("embedding_functions"),
-      ).toBeDefined();
-      const results = await autoQuery.toArray();
-      expect(results[0].text).toBe(data[0].text);
-      expect(initCalls).toBe(baselineInitCalls + 1);
-      expect(queryCalls).toBe(1);
-      expect(snapshotCalls).toBe(1);
-
-      const repeatedResults = await autoQuery.toArray();
-      expect(repeatedResults[0].text).toBe(data[0].text);
-      expect(initCalls).toBe(baselineInitCalls + 1);
-      expect(queryCalls).toBe(1);
-      expect(snapshotCalls).toBe(2);
-
-      const pending = tracked
-        .search("blocked")
-        .select(["text"])
-        .limit(1)
-        .toArray();
-      await started;
-
-      const ftsData = [
-        { text: "greetings from full text", vector: [0.0] },
-        { text: "blocked from full text", vector: [0.0] },
-      ];
-      const ftsTable = await writer.createTable("test", ftsData, {
-        mode: "overwrite",
-      });
-      await ftsTable.createIndex("text", { config: Index.fts() });
-      releaseEmbedding();
-
-      const pendingResults = await pending;
-      expect(pendingResults[0].text).toBe(data[1].text);
-
-      expect(
-        (await tracked.schema()).metadata.get("embedding_functions"),
-      ).toBeUndefined();
-      const ftsResults = await autoQuery.toArray();
-      expect(ftsResults[0].text).toBe(ftsData[0].text);
-    });
-
-    test("auto search keeps newer preparation during a revision race", async () => {
-      let aCalls = 0;
-      let bCalls = 0;
-      let markAStarted!: () => void;
-      const aStarted = new Promise<void>((resolve) => {
-        markAStarted = resolve;
-      });
-      let releaseA!: () => void;
-      const aReleased = new Promise<void>((resolve) => {
-        releaseA = resolve;
-      });
-      let markBStarted!: () => void;
-      const bStarted = new Promise<void>((resolve) => {
-        markBStarted = resolve;
-      });
-      let releaseB!: () => void;
-      const bReleased = new Promise<void>((resolve) => {
-        releaseB = resolve;
-      });
-
-      @register("race-a")
-      class EmbeddingA extends EmbeddingFunction<string> {
-        ndims() {
-          return 1;
-        }
-        embeddingDataType() {
-          return new arrow.Float32();
-        }
-        async computeQueryEmbeddings() {
-          aCalls += 1;
-          markAStarted();
-          await aReleased;
-          return [0.1];
-        }
-        async computeSourceEmbeddings(values: string[]) {
-          return values.map(() => [0.1]);
-        }
-      }
-
-      @register("race-b")
-      class EmbeddingB extends EmbeddingFunction<string> {
-        ndims() {
-          return 1;
-        }
-        embeddingDataType() {
-          return new arrow.Float32();
-        }
-        async computeQueryEmbeddings() {
-          bCalls += 1;
-          markBStarted();
-          await bReleased;
-          return [0.2];
-        }
-        async computeSourceEmbeddings(values: string[]) {
-          return values.map(() => [0.2]);
-        }
-      }
-
-      const writer = await connect(tmpDir.name);
-      const embeddingA = new EmbeddingA();
-      const schemaA = LanceSchema({
-        text: embeddingA.sourceField(new arrow.Utf8()),
-        vector: embeddingA.vectorField(),
-      });
-      await writer.createTable("race", [{ text: "revision a" }], {
-        schema: schemaA,
-      });
-      const reader = await connect(tmpDir.name, {
-        readConsistencyInterval: 0,
-      });
-      const tracked = await reader.openTable("race");
-      const query = tracked.search("query");
-
-      const first = query.toArray();
-      await aStarted;
-
-      const embeddingB = new EmbeddingB();
-      const schemaB = LanceSchema({
-        text: embeddingB.sourceField(new arrow.Utf8()),
-        vector: embeddingB.vectorField(),
-      });
-      await writer.createTable("race", [{ text: "revision b" }], {
-        mode: "overwrite",
-        schema: schemaB,
-      });
-      const second = query.toArray();
-      await bStarted;
-
-      releaseA();
-      releaseB();
-      await Promise.all([first, second]);
-      expect(aCalls).toBe(1);
-      expect(bCalls).toBe(1);
-    });
-
-    test("stale FTS routing keeps newer vector preparation", async () => {
-      let vectorCalls = 0;
-      let markVectorStarted!: () => void;
-      const vectorStarted = new Promise<void>((resolve) => {
-        markVectorStarted = resolve;
-      });
-      let releaseVector!: () => void;
-      const vectorReleased = new Promise<void>((resolve) => {
-        releaseVector = resolve;
-      });
-
-      @register("stale-fts-race")
-      class RaceEmbedding extends EmbeddingFunction<string> {
-        ndims() {
-          return 1;
-        }
-        embeddingDataType() {
-          return new arrow.Float32();
-        }
-        async computeQueryEmbeddings() {
-          vectorCalls += 1;
-          markVectorStarted();
-          await vectorReleased;
-          return [0.1];
-        }
-        async computeSourceEmbeddings(values: string[]) {
-          return values.map(() => [0.1]);
-        }
-      }
-
-      const writer = await connect(tmpDir.name);
-      const ftsTable = await writer.createTable("stale_fts", [
-        { text: "hello", vector: [0.0] },
-      ]);
-      await ftsTable.createIndex("text", { config: Index.fts() });
-
-      const reader = await connect(tmpDir.name, {
-        readConsistencyInterval: 0,
-      });
-      const tracked = await reader.openTable("stale_fts");
-      type Snapshot = {
-        schema: () => Promise<Buffer>;
-      };
-      type NativeWithSnapshot = {
-        querySnapshot: () => Promise<Snapshot>;
-      };
-      const native = (tracked as unknown as { inner: NativeWithSnapshot })
-        .inner;
-      const querySnapshot = native.querySnapshot.bind(native);
-      let snapshotCalls = 0;
-      let markStaleSchemaStarted!: () => void;
-      const staleSchemaStarted = new Promise<void>((resolve) => {
-        markStaleSchemaStarted = resolve;
-      });
-      let releaseStaleSchema!: () => void;
-      const staleSchemaReleased = new Promise<void>((resolve) => {
-        releaseStaleSchema = resolve;
-      });
-      native.querySnapshot = async () => {
-        const snapshot = await querySnapshot();
-        snapshotCalls += 1;
-        if (snapshotCalls === 1) {
-          const schema = snapshot.schema.bind(snapshot);
-          snapshot.schema = async () => {
-            markStaleSchemaStarted();
-            await staleSchemaReleased;
-            return await schema();
-          };
-        }
-        return snapshot;
-      };
-
-      const query = tracked.search("hello");
-      const staleFtsExecution = query.toArray();
-      await staleSchemaStarted;
-
-      const embedding = new RaceEmbedding();
-      const vectorSchema = LanceSchema({
-        text: embedding.sourceField(new arrow.Utf8()),
-        vector: embedding.vectorField(),
-      });
-      await writer.createTable("stale_fts", [{ text: "hello" }], {
-        mode: "overwrite",
-        schema: vectorSchema,
-      });
-
-      const vectorExecution = query.toArray();
-      await vectorStarted;
-      releaseStaleSchema();
-      await staleFtsExecution;
-      releaseVector();
-      await vectorExecution;
-
-      await query.toArray();
-      expect(vectorCalls).toBe(1);
-    });
-
     test("tokenizes FTS queries by column or index name", async () => {
       const db = await connect(tmpDir.name);
       const data = [
@@ -3507,30 +2916,6 @@ describe("column name options", () => {
     expect(results[1].query_index).toBe(1);
   });
 
-  test("observes promised additional vectors while the query is pending", async () => {
-    const initialVector = new Promise<number[]>(() => undefined);
-    const query = table.query().nearestTo(initialVector);
-    const unhandled: unknown[] = [];
-    const onUnhandled = (reason: unknown) => unhandled.push(reason);
-    process.on("unhandledRejection", onUnhandled);
-
-    try {
-      query.addQueryVector(Promise.reject(new Error("extra vector failed")));
-      await new Promise<void>((resolve) => setImmediate(resolve));
-      expect(unhandled).toEqual([]);
-
-      const rejectedQuery = table
-        .query()
-        .nearestTo([0.1, 0.2])
-        .addQueryVector(Promise.reject(new Error("consumed vector failed")));
-      await expect(rejectedQuery.toArray()).rejects.toThrow(
-        "consumed vector failed",
-      );
-    } finally {
-      process.off("unhandledRejection", onUnhandled);
-    }
-  });
-
   test("index and search multivectors", async () => {
     const db = await connect(tmpDir.name);
     const data = [];
@@ -3594,27 +2979,6 @@ describe("when creating an empty table", () => {
     expect((actualSchema.fields[1].type as Float64).precision).toBe(2);
   });
 
-  it("can add and query JSON data", async () => {
-    const schema = new Schema([
-      new Field("id", new Int32(), true),
-      new Field(
-        "meta",
-        new Utf8(),
-        true,
-        new Map([["ARROW:extension:name", "arrow.json"]]),
-      ),
-    ]);
-    const table = await con.createEmptyTable("json", schema);
-    const meta = JSON.stringify({ x: 1 });
-
-    await table.add([{ id: 1, meta }]);
-
-    const rows = await table.query().toArray();
-    expect(rows).toHaveLength(1);
-    expect(rows[0].id).toBe(1);
-    expect(rows[0].meta).toBe(meta);
-  });
-
   it("can create an empty table from schema that specifies field types by name", async () => {
     const schemaLike = {
       fields: [

nodejs/examples/basic.test.ts

@@ -170,7 +170,7 @@ test("basic table examples", async () => {
     // --8<-- [end:create_index]
 
     // --8<-- [start:delete_rows]
-    await tbl.delete("item = 'fizz'");
+    await tbl.delete('item = "fizz"');
     // --8<-- [end:delete_rows]
 
     // --8<-- [start:drop_table]

nodejs/examples/package.json

@@ -8,8 +8,7 @@
     "//1": "--experimental-vm-modules is needed to run jest with sentence-transformers",
     "//2": "--testEnvironment is needed to run jest with sentence-transformers",
     "//3": "See: https://github.com/huggingface/transformers.js/issues/57",
-    "//4": "jest is invoked by its JS entry, not node_modules/.bin/jest: under pnpm that path is a shell shim, which `node` cannot execute",
-    "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --testEnvironment jest-environment-node-single-context --verbose",
+    "test": "node --experimental-vm-modules node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose",
     "lint": "biome check *.ts && biome format *.ts",
     "lint-ci": "biome ci .",
     "lint-fix": "biome check --write *.ts && pnpm format",

nodejs/lancedb/arrow.ts

@@ -5,6 +5,7 @@ import {
   Data as ArrowData,
   Table as ArrowTable,
   Binary,
+  Bool,
   BufferType,
   DataType,
   DateUnit,
@@ -17,7 +18,12 @@ import {
   FixedSizeList,
   Float,
   Float32,
+  Float64,
   Int,
+  Int8,
+  Int16,
+  Int32,
+  Int64,
   LargeBinary,
   List,
   Null,
@@ -30,16 +36,17 @@ import {
   Struct,
   Timestamp,
   Type,
+  Uint8,
+  Uint16,
+  Uint32,
   Utf8,
   Vector,
   makeVector as arrowMakeVector,
-  util as arrowUtil,
   vectorFromArray as badVectorFromArray,
   makeBuilder,
   makeData,
 } from "apache-arrow";
 import { Buffers } from "apache-arrow/data";
-import { typedArrayToArrowType } from "./arrow_type";
 import { type EmbeddingFunction } from "./embedding/embedding_function";
 import {
   EmbeddingFunctionConfig,
@@ -52,7 +59,14 @@ import {
   sanitizeTable,
   sanitizeType,
 } from "./sanitize";
-import { inferSchema } from "./schema";
+
+/**
+ * Check if a field name indicates a vector column.
+ */
+function nameSuggestsVectorColumn(fieldName: string): boolean {
+  const nameLower = fieldName.toLowerCase();
+  return nameLower.includes("vector") || nameLower.includes("embedding");
+}
 
 export * from "apache-arrow";
 export type SchemaLike =
@@ -72,7 +86,8 @@ export type FieldLike =
     };
 
 export type DataLike =
-  | import("apache-arrow").Data
+  // biome-ignore lint/suspicious/noExplicitAny: <explanation>
+  | import("apache-arrow").Data<Struct<any>>
   | {
       // biome-ignore lint/suspicious/noExplicitAny: <explanation>
       type: any;
@@ -81,7 +96,6 @@ export type DataLike =
       stride: number;
       nullable: boolean;
       children: DataLike[];
-      dictionary?: { data: readonly DataLike[] };
       get nullCount(): number;
       // biome-ignore lint/suspicious/noExplicitAny: <explanation>
       values: Buffers<any>[BufferType.DATA];
@@ -445,6 +459,110 @@ export function makeArrowTable(
   return new ArrowTable(inferredSchema, finalColumns);
 }
 
+function inferSchema(
+  data: Array<Record<string, unknown>>,
+  schema: Schema | undefined,
+  opts: MakeArrowTableOptions,
+): Schema {
+  // We will collect all fields we see in the data.
+  const pathTree = new PathTree<DataType>();
+
+  for (const [rowI, row] of data.entries()) {
+    for (const [path, value] of rowPathsAndValues(row)) {
+      if (!pathTree.has(path)) {
+        // First time seeing this field.
+        if (schema !== undefined) {
+          const field = getFieldForPath(schema, path);
+          if (field === undefined) {
+            throw new Error(
+              `Found field not in schema: ${path.join(".")} at row ${rowI}`,
+            );
+          } else {
+            pathTree.set(path, field.type);
+          }
+        } else {
+          const inferredType = inferType(value, path, opts);
+          if (inferredType === undefined) {
+            throw new Error(`Failed to infer data type for field ${path.join(
+              ".",
+            )} at row ${rowI}. \
+                             Consider providing an explicit schema.`);
+          }
+          pathTree.set(path, inferredType);
+        }
+      } else if (schema === undefined) {
+        const currentType = pathTree.get(path);
+        const newType = inferType(value, path, opts);
+        if (currentType !== newType) {
+          new Error(`Failed to infer schema for data. Previously inferred type \
+                     ${currentType} but found ${newType} at row ${rowI}. Consider \
+                     providing an explicit schema.`);
+        }
+      }
+    }
+  }
+
+  if (schema === undefined) {
+    function fieldsFromPathTree(pathTree: PathTree<DataType>): Field[] {
+      const fields = [];
+      for (const [name, value] of pathTree.map.entries()) {
+        if (value instanceof PathTree) {
+          const children = fieldsFromPathTree(value);
+          fields.push(new Field(name, new Struct(children), true));
+        } else {
+          fields.push(new Field(name, value, true));
+        }
+      }
+      return fields;
+    }
+    const fields = fieldsFromPathTree(pathTree);
+    return new Schema(fields);
+  } else {
+    function takeMatchingFields(
+      fields: Field[],
+      pathTree: PathTree<DataType>,
+    ): Field[] {
+      const outFields = [];
+      for (const field of fields) {
+        if (pathTree.map.has(field.name)) {
+          const value = pathTree.get([field.name]);
+          if (value instanceof PathTree) {
+            const struct = field.type as Struct;
+            const children = takeMatchingFields(struct.children, value);
+            outFields.push(
+              new Field(field.name, new Struct(children), field.nullable),
+            );
+          } else {
+            outFields.push(
+              new Field(field.name, value as DataType, field.nullable),
+            );
+          }
+        }
+      }
+      return outFields;
+    }
+    const fields = takeMatchingFields(schema.fields, pathTree);
+    return new Schema(fields);
+  }
+}
+
+function* rowPathsAndValues(
+  row: Record<string, unknown>,
+  basePath: string[] = [],
+): Generator<[string[], unknown]> {
+  for (const [key, value] of Object.entries(row)) {
+    if (isObject(value)) {
+      yield* rowPathsAndValues(value, [...basePath, key]);
+    } else {
+      // Skip undefined values - they should be treated the same as missing fields
+      // for embedding function purposes
+      if (value !== undefined) {
+        yield [[...basePath, key], value];
+      }
+    }
+  }
+}
+
 function isObject(value: unknown): value is Record<string, unknown> {
   return (
     typeof value === "object" &&
@@ -459,19 +577,146 @@ function isObject(value: unknown): value is Record<string, unknown> {
   );
 }
 
-function valueAtPath(datum: Record<string, unknown>, path: string[]): unknown {
-  let current: unknown = datum;
+function getFieldForPath(schema: Schema, path: string[]): Field | undefined {
+  let current: Field | Schema = schema;
   for (const key of path) {
-    if (current == null) {
-      return null;
-    }
-    if (isObject(current) && (Object.hasOwn(current, key) || key in current)) {
-      current = current[key];
+    if (current instanceof Schema) {
+      const field: Field | undefined = current.fields.find(
+        (f) => f.name === key,
+      );
+      if (field === undefined) {
+        return undefined;
+      }
+      current = field;
+    } else if (current instanceof Field && DataType.isStruct(current.type)) {
+      const struct: Struct = current.type;
+      const field = struct.children.find((f) => f.name === key);
+      if (field === undefined) {
+        return undefined;
+      }
+      current = field;
     } else {
       return undefined;
     }
   }
-  return current;
+  if (current instanceof Field) {
+    return current;
+  } else {
+    return undefined;
+  }
+}
+
+/**
+ * Try to infer which Arrow type to use for a given value.
+ *
+ * May return undefined if the type cannot be inferred.
+ */
+function inferType(
+  value: unknown,
+  path: string[],
+  opts: MakeArrowTableOptions,
+): DataType | undefined {
+  if (typeof value === "bigint") {
+    return new Int64();
+  } else if (typeof value === "number") {
+    // Even if it's an integer, it's safer to assume Float64. Users can
+    // always provide an explicit schema or use BigInt if they mean integer.
+    return new Float64();
+  } else if (typeof value === "string") {
+    if (opts.dictionaryEncodeStrings) {
+      return new Dictionary(new Utf8(), new Int32());
+    } else {
+      return new Utf8();
+    }
+  } else if (typeof value === "boolean") {
+    return new Bool();
+  } else if (value instanceof Buffer) {
+    return new Binary();
+  } else if (ArrayBuffer.isView(value) && !(value instanceof DataView)) {
+    const info = typedArrayToArrowType(value);
+    if (info !== undefined) {
+      const child = new Field("item", info.elementType, true);
+      return new FixedSizeList(info.length, child);
+    }
+    return undefined;
+  } else if (Array.isArray(value)) {
+    if (value.length === 0) {
+      return undefined; // Without any values we can't infer the type
+    }
+    if (path.length === 1 && Object.hasOwn(opts.vectorColumns, path[0])) {
+      const floatType = sanitizeType(opts.vectorColumns[path[0]].type);
+      return new FixedSizeList(
+        value.length,
+        new Field("item", floatType, true),
+      );
+    }
+    const valueType = inferType(value[0], path, opts);
+    if (valueType === undefined) {
+      return undefined;
+    }
+    // Try to automatically detect embedding columns.
+    if (nameSuggestsVectorColumn(path[path.length - 1])) {
+      // Check if value is a Uint8Array for integer vector type determination
+      if (value instanceof Uint8Array) {
+        // For integer vectors, we default to Uint8 (matching Python implementation)
+        const child = new Field("item", new Uint8(), true);
+        return new FixedSizeList(value.length, child);
+      } else {
+        // For float vectors, we default to Float32
+        const child = new Field("item", new Float32(), true);
+        return new FixedSizeList(value.length, child);
+      }
+    } else {
+      const child = new Field("item", valueType, true);
+      return new List(child);
+    }
+  } else {
+    // TODO: timestamp
+    return undefined;
+  }
+}
+
+class PathTree<V> {
+  map: Map<string, V | PathTree<V>>;
+
+  constructor(entries?: [string[], V][]) {
+    this.map = new Map();
+    if (entries !== undefined) {
+      for (const [path, value] of entries) {
+        this.set(path, value);
+      }
+    }
+  }
+  has(path: string[]): boolean {
+    let ref: PathTree<V> = this;
+    for (const part of path) {
+      if (!(ref instanceof PathTree) || !ref.map.has(part)) {
+        return false;
+      }
+      ref = ref.map.get(part) as PathTree<V>;
+    }
+    return true;
+  }
+  get(path: string[]): V | undefined {
+    let ref: PathTree<V> = this;
+    for (const part of path) {
+      if (!(ref instanceof PathTree) || !ref.map.has(part)) {
+        return undefined;
+      }
+      ref = ref.map.get(part) as PathTree<V>;
+    }
+    return ref as V;
+  }
+  set(path: string[], value: V): void {
+    let ref: PathTree<V> = this;
+    for (const part of path.slice(0, path.length - 1)) {
+      if (!ref.map.has(part)) {
+        ref.map.set(part, new PathTree<V>());
+      }
+      ref = ref.map.get(part) as PathTree<V>;
+    }
+    ref.map.set(path[path.length - 1], value);
+  }
 }
 
 function transposeData(
@@ -479,26 +724,37 @@ function transposeData(
   field: Field,
   path: string[] = [],
 ): Vector {
-  const valuesPath = [...path, field.name];
-  const values = data.map((datum) => valueAtPath(datum, valuesPath));
   if (field.type instanceof Struct) {
     const childFields = field.type.children;
+    const fullPath = [...path, field.name];
     const childVectors = childFields.map((child) => {
-      return transposeData(data, child, valuesPath);
+      return transposeData(data, child, fullPath);
     });
-    const nullCount = values.filter((value) => value === null).length;
     const structData = makeData({
       type: field.type,
-      length: values.length,
-      nullCount,
-      nullBitmap:
-        nullCount > 0
-          ? arrowUtil.packBools(values.map((value) => value !== null))
-          : undefined,
       children: childVectors as unknown as ArrowData<DataType>[],
     });
     return arrowMakeVector(structData);
   } else {
+    const valuesPath = [...path, field.name];
+    const values = data.map((datum) => {
+      let current: unknown = datum;
+      for (const key of valuesPath) {
+        if (current == null) {
+          return null;
+        }
+
+        if (
+          isObject(current) &&
+          (Object.hasOwn(current, key) || key in current)
+        ) {
+          current = current[key];
+        } else {
+          return null;
+        }
+      }
+      return current;
+    });
     return makeVector(values, field.type, undefined, field.nullable);
   }
 }
@@ -541,6 +797,32 @@ function makeListVector(lists: unknown[][]): Vector<unknown> {
   return listBuilder.finish().toVector();
 }
 
+/**
+ * Map a JS TypedArray instance to the corresponding Arrow element DataType
+ * and its length. Returns undefined if the value is not a recognized TypedArray.
+ */
+function typedArrayToArrowType(
+  value: ArrayBufferView,
+): { elementType: DataType; length: number } | undefined {
+  if (value instanceof Float32Array)
+    return { elementType: new Float32(), length: value.length };
+  if (value instanceof Float64Array)
+    return { elementType: new Float64(), length: value.length };
+  if (value instanceof Uint8Array)
+    return { elementType: new Uint8(), length: value.length };
+  if (value instanceof Uint16Array)
+    return { elementType: new Uint16(), length: value.length };
+  if (value instanceof Uint32Array)
+    return { elementType: new Uint32(), length: value.length };
+  if (value instanceof Int8Array)
+    return { elementType: new Int8(), length: value.length };
+  if (value instanceof Int16Array)
+    return { elementType: new Int16(), length: value.length };
+  if (value instanceof Int32Array)
+    return { elementType: new Int32(), length: value.length };
+  return undefined;
+}
+
 /** Helper function to convert an Array of JS values to an Arrow Vector */
 function makeVector(
   values: unknown[],
@@ -1180,12 +1462,8 @@ export function ensureNestedFieldsExist(
           completeRow[field.name] = row[field.name];
         }
       } else {
-        // Keep a missing struct valid while filling each of its children with
-        // null. This is distinct from an explicitly null struct value.
-        completeRow[field.name] =
-          field.type.constructor.name === "Struct"
-            ? ensureStructFieldsExist({}, field.type as Struct)
-            : null;
+        // Field is missing from the data - set to null
+        completeRow[field.name] = null;
       }
     }
 
@@ -1220,12 +1498,8 @@ function ensureStructFieldsExist(
         completeStruct[childField.name] = data[childField.name];
       }
     } else {
-      // Keep a missing struct valid while filling each of its children with
-      // null. This is distinct from an explicitly null struct value.
-      completeStruct[childField.name] =
-        childField.type.constructor.name === "Struct"
-          ? ensureStructFieldsExist({}, childField.type as Struct)
-          : null;
+      // Field is missing - set to null
+      completeStruct[childField.name] = null;
     }
   }
 

nodejs/lancedb/arrow_type.ts

@@ -1,40 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import {
-  type DataType,
-  Float32,
-  Float64,
-  Int8,
-  Int16,
-  Int32,
-  Uint8,
-  Uint16,
-  Uint32,
-} from "apache-arrow";
-
-/**
- * Map a JS TypedArray instance to the corresponding Arrow element type and
- * length. Returns undefined when the view is not a supported TypedArray.
- */
-export function typedArrayToArrowType(
-  value: ArrayBufferView,
-): { elementType: DataType; length: number } | undefined {
-  if (value instanceof Float32Array)
-    return { elementType: new Float32(), length: value.length };
-  if (value instanceof Float64Array)
-    return { elementType: new Float64(), length: value.length };
-  if (value instanceof Uint8Array)
-    return { elementType: new Uint8(), length: value.length };
-  if (value instanceof Uint16Array)
-    return { elementType: new Uint16(), length: value.length };
-  if (value instanceof Uint32Array)
-    return { elementType: new Uint32(), length: value.length };
-  if (value instanceof Int8Array)
-    return { elementType: new Int8(), length: value.length };
-  if (value instanceof Int16Array)
-    return { elementType: new Int16(), length: value.length };
-  if (value instanceof Int32Array)
-    return { elementType: new Int32(), length: value.length };
-  return undefined;
-}

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,
@@ -15,7 +16,6 @@ import {
   makeEmptyTable,
 } from "./arrow";
 import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
-import { Job } from "./job";
 import {
   MaterializedView,
   MaterializedViewSelect,
@@ -27,16 +27,16 @@ import type {
   CreateNamespaceResponse,
   DescribeNamespaceResponse,
   DropNamespaceResponse,
+  Job,
+  JobDescription,
   JobInfo,
   ListNamespacesResponse,
-  ListTablesResponse,
 } from "./native";
 export type {
   CreateNamespaceResponse,
   DescribeNamespaceResponse,
   DropNamespaceResponse,
   ListNamespacesResponse,
-  ListTablesResponse,
 };
 import { sanitizeTable } from "./sanitize";
 import { LocalTable, Table } from "./table";
@@ -134,10 +134,6 @@ export interface OpenTableOptions {
   indexCacheSize?: number;
 }
 
-/**
- * @deprecated Use {@link ListTablesOptions} with {@link Connection.listTables}
- * instead.
- */
 export interface TableNamesOptions {
   /**
    * If present, only return names that come lexicographically after the
@@ -151,24 +147,6 @@ export interface TableNamesOptions {
   limit?: number;
 }
 
-export interface ListTablesOptions {
-  /**
-   * Token from a previous response, to resume listing where it left off.
-   *
-   * The token is opaque: it carries whatever the database needs to resume, and
-   * callers should not construct or interpret one.
-   */
-  pageToken?: string;
-  /**
-   * An upper bound on how many tables to return.
-   *
-   * A page may hold fewer than this and still not be the last one, so keep
-   * going while the response carries a page token rather than while pages are
-   * full.
-   */
-  limit?: number;
-}
-
 export interface ListNamespacesOptions {
   /** Token from a previous response for pagination. */
   pageToken?: string;
@@ -253,7 +231,6 @@ export abstract class Connection {
    * @param {Partial<TableNamesOptions>} options - options to control the
    * paging / start point (backwards compatibility)
    *
-   * @deprecated Use {@link Connection.listTables} instead.
    */
   abstract tableNames(options?: Partial<TableNamesOptions>): Promise<string[]>;
   /**
@@ -264,53 +241,12 @@ export abstract class Connection {
    * @param {Partial<TableNamesOptions>} options - options to control the
    * paging / start point
    *
-   * @deprecated Use {@link Connection.listTables} instead.
    */
   abstract tableNames(
     namespacePath?: string[],
     options?: Partial<TableNamesOptions>,
   ): Promise<string[]>;
 
-  /**
-   * List a page of the tables in this database.
-   *
-   * To retrieve the tables after the page, pass the `pageToken` the response
-   * carries back in. A page can be shorter than `limit` without being the last
-   * one, so walk until a response carries no page token:
-   *
-   * ```ts
-   * const names = [];
-   * let pageToken = undefined;
-   * do {
-   *   const page = await conn.listTables({ pageToken, limit: 100 });
-   *   names.push(...page.tables);
-   *   pageToken = page.pageToken;
-   * } while (pageToken);
-   * ```
-   *
-   * @param {Partial<ListTablesOptions>} options - Pagination options
-   *   (`pageToken`, `limit`).
-   * @returns {Promise<ListTablesResponse>} A page of table names and an
-   *   optional token for the tables after it.
-   */
-  abstract listTables(
-    options?: Partial<ListTablesOptions>,
-  ): Promise<ListTablesResponse>;
-  /**
-   * List a page of the tables in this database.
-   *
-   * @param {string[]} namespacePath - The namespace path to list tables from
-   *   (defaults to root namespace)
-   * @param {Partial<ListTablesOptions>} options - Pagination options
-   *   (`pageToken`, `limit`).
-   * @returns {Promise<ListTablesResponse>} A page of table names and an
-   *   optional token for the tables after it.
-   */
-  abstract listTables(
-    namespacePath?: string[],
-    options?: Partial<ListTablesOptions>,
-  ): Promise<ListTablesResponse>;
-
   /**
    * Open a table in the database.
    * @param {string} name - The name of the table
@@ -555,19 +491,24 @@ export abstract class Connection {
   ): Promise<void>;
 
   /**
-   * Open a server-side job by id, returning a handle with its record already
-   * populated. Rejects when the server has no such job, the way
-   * {@link Connection.openTable} does for a missing table.
+   * A {@link Job} handle for a server-side job by id.
    *
-   * The returned {@link Job} answers for its own state, specification,
-   * result, failure and event history, so there is no separate
-   * connection-level call for any of them.
+   * 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 openJob(jobId: string): Promise<Job>;
+  abstract job(jobId: string): Job;
 
   /** List server-side jobs across the database's tables. */
   abstract listJobs(): Promise<JobInfo[]>;
 
+  /**
+   * Describe a single server-side job by id.
+   *
+   * Resolves to `null` when the server has no such job.
+   */
+  abstract getJob(jobId: string): Promise<JobDescription | null>;
+
   /**
    * Request cancellation of a server-side job by id.
    *
@@ -575,6 +516,13 @@ export abstract class Connection {
    * such job exists. Cancelling an already-terminal job is a no-op success.
    */
   abstract cancelJob(jobId: string): Promise<boolean>;
+
+  /**
+   * 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<ArrowTable>;
 }
 
 /** @hideconstructor */
@@ -653,25 +601,6 @@ export class LocalConnection extends Connection {
     return await this.inner.listMaterializedViews();
   }
 
-  async listTables(
-    namespacePathOrOptions?: string[] | Partial<ListTablesOptions>,
-    options?: Partial<ListTablesOptions>,
-  ): Promise<ListTablesResponse> {
-    // Detect if first argument is namespacePath array or options object
-    const namespacePath = Array.isArray(namespacePathOrOptions)
-      ? namespacePathOrOptions
-      : undefined;
-    const listTablesOptions = Array.isArray(namespacePathOrOptions)
-      ? options
-      : namespacePathOrOptions;
-
-    return this.inner.listTables(
-      namespacePath ?? [],
-      listTablesOptions?.pageToken,
-      listTablesOptions?.limit,
-    );
-  }
-
   async openTable(
     name: string,
     namespacePath?: string[],
@@ -855,7 +784,7 @@ export class LocalConnection extends Connection {
   }
 
   async dropTableAsync(name: string, namespacePath?: string[]): Promise<Job> {
-    return new Job(await this.inner.dropTableAsync(name, namespacePath ?? []));
+    return this.inner.dropTableAsync(name, namespacePath ?? []);
   }
 
   async dropAllTables(namespacePath?: string[]): Promise<void> {
@@ -914,17 +843,29 @@ export class LocalConnection extends Connection {
     );
   }
 
-  async openJob(jobId: string): Promise<Job> {
-    return new Job(await this.inner.openJob(jobId));
+  job(jobId: string): Job {
+    return this.inner.job(jobId);
   }
 
   async listJobs(): Promise<JobInfo[]> {
     return this.inner.listJobs();
   }
 
+  async getJob(jobId: string): Promise<JobDescription | null> {
+    return this.inner.getJob(jobId);
+  }
+
   async cancelJob(jobId: string): Promise<boolean> {
     return this.inner.cancelJob(jobId);
   }
+
+  async jobHistory(jobId?: string): Promise<ArrowTable> {
+    const buf = await this.inner.jobHistory(jobId);
+    if (buf.length === 0) {
+      return new ArrowTable();
+    }
+    return tableFromIPC(buf);
+  }
 }
 
 /**

nodejs/lancedb/embedding/index.ts

@@ -4,15 +4,7 @@
 import { Field, Schema } from "../arrow";
 import { sanitizeType } from "../sanitize";
 import { EmbeddingFunction } from "./embedding_function";
-import {
-  EmbeddingFunctionConfig,
-  EmbeddingFunctionRegistry,
-  getRegistry as getGlobalRegistry,
-  registerBuiltIn,
-} from "./registry";
-
-type OpenAIModule = typeof import("./openai");
-type TransformersModule = typeof import("./transformers");
+import { EmbeddingFunctionConfig, getRegistry } from "./registry";
 
 export {
   FieldOptions,
@@ -22,39 +14,7 @@ export {
   EmbeddingFunctionConstructor,
 } from "./embedding_function";
 
-export {
-  EmbeddingFunctionRegistry,
-  parseEmbeddingMetadata,
-  register,
-} from "./registry";
-export type {
-  CreateReturnType,
-  EmbeddingFunctionConfig,
-  EmbeddingFunctionCreate,
-  EmbeddingMetadataEntry,
-  ResolvedEmbeddingFunctionConfig,
-} from "./registry";
-
-function initializeBuiltInProviders() {
-  const { OpenAIEmbeddingFunction } = require("./openai") as OpenAIModule;
-  const { TransformersEmbeddingFunction } =
-    require("./transformers") as TransformersModule;
-
-  registerBuiltIn("openai", OpenAIEmbeddingFunction);
-  registerBuiltIn("huggingface", TransformersEmbeddingFunction);
-}
-
-/**
- * Get the global embedding function registry.
- *
- * LanceDB built-in providers are initialized when this public API is first
- * used, so importing the root package does not change automatic search
- * selection for tables without embedding metadata.
- */
-export function getRegistry(): EmbeddingFunctionRegistry {
-  initializeBuiltInProviders();
-  return getGlobalRegistry();
-}
+export * from "./registry";
 
 /**
  * Create a schema with embedding functions.

nodejs/lancedb/embedding/openai.ts

@@ -5,13 +5,14 @@ import type OpenAI from "openai";
 import type { EmbeddingCreateParams } from "openai/resources/index";
 import { Float, Float32 } from "../arrow";
 import { EmbeddingFunction } from "./embedding_function";
-import { registerBuiltIn } from "./registry";
+import { register } from "./registry";
 
 export type OpenAIOptions = {
   apiKey: string;
   model: EmbeddingCreateParams["model"];
 };
 
+@register("openai")
 export class OpenAIEmbeddingFunction extends EmbeddingFunction<
   string,
   Partial<OpenAIOptions>
@@ -99,5 +100,3 @@ export class OpenAIEmbeddingFunction extends EmbeddingFunction<
     return response.data[0].embedding;
   }
 }
-
-registerBuiltIn("openai", OpenAIEmbeddingFunction);

nodejs/lancedb/embedding/registry.ts

@@ -7,10 +7,6 @@ import {
 } from "./embedding_function";
 import "reflect-metadata";
 
-const builtInFunctionsKey = Symbol.for(
-  "@lancedb/lancedb::embedding-built-in-functions::v1",
-);
-
 export type CreateReturnType<T> = T extends { init: () => Promise<void> }
   ? Promise<T>
   : T;
@@ -63,15 +59,6 @@ export class EmbeddingFunctionRegistry {
     };
   }
 
-  /** @ignore */
-  setBuiltIn<
-    T extends EmbeddingFunctionConstructor = EmbeddingFunctionConstructor,
-  >(name: string, ctor: T): T {
-    this.#functions.set(name, ctor);
-    Reflect.defineMetadata("lancedb::embedding::name", name, ctor);
-    return ctor;
-  }
-
   get<T extends EmbeddingFunction<unknown>>(
     name: string,
   ): EmbeddingFunctionCreate<T> | undefined;
@@ -109,7 +96,6 @@ export class EmbeddingFunctionRegistry {
    */
   reset(this: EmbeddingFunctionRegistry) {
     this.#functions.clear();
-    getBuiltInFunctions(this).clear();
   }
 
   /**
@@ -197,56 +183,12 @@ export class EmbeddingFunctionRegistry {
   }
 }
 
-function getBuiltInFunctions(registry: EmbeddingFunctionRegistry): Set<string> {
-  const registryWithBuiltIns = registry as EmbeddingFunctionRegistry & {
-    [key: symbol]: Set<string> | undefined;
-  };
-  let builtInFunctions = registryWithBuiltIns[builtInFunctionsKey];
-  if (builtInFunctions === undefined) {
-    builtInFunctions = new Set<string>();
-    registryWithBuiltIns[builtInFunctionsKey] = builtInFunctions;
-  }
-  return builtInFunctions;
-}
-
-// Server bundlers can load the side-effect embedding entry points and the public
-// embedding API from separate module graphs. Keep their registry shared.
-const registryKey = Symbol.for(
-  "@lancedb/lancedb::embedding-function-registry::v1",
-);
-const registryGlobal = globalThis as typeof globalThis & {
-  [key: symbol]: EmbeddingFunctionRegistry | undefined;
-};
-
-function getGlobalRegistry(): EmbeddingFunctionRegistry {
-  const existingRegistry = registryGlobal[registryKey];
-  if (existingRegistry !== undefined) {
-    return existingRegistry;
-  }
-  const registry = new EmbeddingFunctionRegistry();
-  registryGlobal[registryKey] = registry;
-  return registry;
-}
-
-const _REGISTRY = getGlobalRegistry();
+const _REGISTRY = new EmbeddingFunctionRegistry();
 
 export function register(name?: string) {
   return _REGISTRY.register(name);
 }
 
-/** @ignore */
-export function registerBuiltIn<
-  T extends EmbeddingFunctionConstructor = EmbeddingFunctionConstructor,
->(name: string, ctor: T): T {
-  const builtInFunctions = getBuiltInFunctions(_REGISTRY);
-  if (builtInFunctions.has(name)) {
-    return _REGISTRY.setBuiltIn(name, ctor);
-  }
-  _REGISTRY.register(name)(ctor);
-  builtInFunctions.add(name);
-  return ctor;
-}
-
 /**
  * Utility function to get the global instance of the registry
  * @returns `EmbeddingFunctionRegistry` The global instance of the registry

nodejs/lancedb/embedding/transformers.ts

@@ -3,7 +3,7 @@
 
 import { Float, Float32 } from "../arrow";
 import { EmbeddingFunction } from "./embedding_function";
-import { registerBuiltIn } from "./registry";
+import { register } from "./registry";
 
 export type XenovaTransformerOptions = {
   /** The wasm compatible model to use */
@@ -31,6 +31,7 @@ export type XenovaTransformerOptions = {
   };
 };
 
+@register("huggingface")
 export class TransformersEmbeddingFunction extends EmbeddingFunction<
   string,
   Partial<XenovaTransformerOptions>
@@ -157,8 +158,6 @@ export class TransformersEmbeddingFunction extends EmbeddingFunction<
   }
 }
 
-registerBuiltIn("huggingface", TransformersEmbeddingFunction);
-
 const tensorDiv = (
   src: import("@huggingface/transformers").Tensor,
   divBy: number,

nodejs/lancedb/index.ts

@@ -81,25 +81,26 @@ export {
   Connection,
   CreateTableOptions,
   TableNamesOptions,
-  ListTablesOptions,
   OpenTableOptions,
   ListNamespacesOptions,
   CreateNamespaceOptions,
   DropNamespaceOptions,
   ListNamespacesResponse,
-  ListTablesResponse,
   CreateNamespaceResponse,
   DropNamespaceResponse,
   DescribeNamespaceResponse,
   RenameTableOptions,
 } from "./connection";
 
-export { JobFailureInfo, JobInfo, Session } from "./native.js";
-
-export { Job, JobEventsOptions } from "./job";
+export {
+  Job,
+  JobDescription,
+  JobFailureInfo,
+  JobInfo,
+  Session,
+} from "./native.js";
 
 export {
-  AutoQuery,
   ExecutableQuery,
   Query,
   QueryBase,

nodejs/lancedb/job.ts

@@ -1,188 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import { Table as ArrowTable, tableFromIPC } from "apache-arrow";
-import { JobFailureInfo, Job as NativeJob } from "./native";
-
-/** Which of a job's events {@link Job.events} returns. */
-export interface JobEventsOptions {
-  /** Maximum event rows to return, up to the server maximum of 10,000. */
-  limit?: number;
-  /** SQL-like filter over the event columns. */
-  filter?: string;
-}
-
-/**
- * A handle to an operation that may still be running.
- *
- * The operation may already be complete when the handle is created.
- *
- * The detail getters read what the handle last observed. Submitting an
- * operation returns only a job id, so populating them eagerly would cost an
- * extra round trip on every call:
- *
- * - {@link Job.refresh} and {@link Job.status} fetch the whole record.
- * - {@link Job.wait} records the terminal state it establishes, but not the
- *   rest of the record.
- * - Everything is null until one of those runs.
- *
- * @hideconstructor
- */
-export class Job {
-  private readonly inner: NativeJob;
-
-  constructor(inner: NativeJob) {
-    this.inner = inner;
-  }
-
-  /**
-   * Identifies the operation on the server that is running it.
-   *
-   * Operations that run in this process have no server id. The value is
-   * opaque: parsing it or storing it to resume the job later is not supported.
-   */
-  get id(): string | null {
-    return this.inner.id ?? null;
-  }
-
-  /** The last observed lifecycle state, without contacting the backend. */
-  get state(): string | null {
-    return this.inner.state ?? null;
-  }
-
-  /**
-   * The job's type, as the server names it. Null for an in-process job, which
-   * has no server-side record.
-   */
-  get jobType(): string | null {
-    return this.inner.jobType ?? null;
-  }
-
-  /** When the job was created, in milliseconds since the epoch. */
-  get creationMs(): number | null {
-    return this.inner.creationMs ?? null;
-  }
-
-  /** The job-type-specific specification it was submitted with. */
-  // biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
-  get spec(): any | null {
-    return parseJson(this.inner.specJson);
-  }
-
-  /**
-   * The job-type-specific terminal result. Null until the job succeeds, so a
-   * job that never terminates reports its progress through {@link Job.events}
-   * instead.
-   */
-  // biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
-  get result(): any | null {
-    return parseJson(this.inner.resultJson);
-  }
-
-  /** Why the job failed, when it failed and the server reports a reason. */
-  get failure(): JobFailureInfo | null {
-    return this.inner.failure ?? null;
-  }
-
-  /**
-   * 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. Also refreshes the getters above.
-   */
-  async status(): Promise<string> {
-    return this.inner.status();
-  }
-
-  /** Wait until the operation reaches a terminal state. */
-  async wait(): Promise<void> {
-    return this.inner.wait();
-  }
-
-  /** Request cancellation. Cancelling a finished operation is a no-op. */
-  async cancel(): Promise<void> {
-    return this.inner.cancel();
-  }
-
-  /**
-   * Ask the backend for this job's current state, and for a server-side job
-   * its full record, then cache it for the getters above.
-   */
-  async refresh(): Promise<void> {
-    return this.inner.refresh();
-  }
-
-  /**
-   * This job's recorded lifecycle events.
-   *
-   * Where the getters above report a terminal result only once the job reaches
-   * one, events are written as the job runs and outlive the workers that
-   * produced them. A distributed job records a `claim`/`claim_complete` pair
-   * per unit of work, each carrying `rows_processed`, so a job that never
-   * finishes still accounts for what it did.
-   *
-   * The server caps results at 1000 rows by default and 10,000 at most, and
-   * truncates without saying so, so pass `limit` for a job that emits an event
-   * per fragment. `filter` is a SQL-like expression over the `state`,
-   * `updated_by`, `emitted_from`, `emitted_by`, and `claim_entity` columns.
-   */
-  async events(options?: JobEventsOptions): Promise<ArrowTable> {
-    const buf = await this.inner.events(options?.limit, options?.filter);
-    if (buf.length === 0) {
-      return new ArrowTable();
-    }
-    return tableFromIPC(buf);
-  }
-
-  /**
-   * Every field the handle currently knows, one per line, with the JSON
-   * payloads indented -- a refresh job's spec and result are the point of
-   * printing it.
-   */
-  toString(): string {
-    if (this.state === null) {
-      const known = this.id === null ? "" : `id=${JSON.stringify(this.id)}, `;
-      return `Job(${known}not refreshed)`;
-    }
-    const fields: string[] = [];
-    if (this.id !== null) {
-      fields.push(`id=${JSON.stringify(this.id)}`);
-    }
-    fields.push(`state=${JSON.stringify(this.state)}`);
-    if (this.jobType !== null) {
-      fields.push(`jobType=${JSON.stringify(this.jobType)}`);
-    }
-    if (this.creationMs !== null) {
-      fields.push(`creationMs=${this.creationMs}`);
-    }
-    for (const [name, value] of [
-      ["spec", this.spec],
-      ["result", this.result],
-    ] as const) {
-      if (value !== null) {
-        fields.push(`${name}=${indentJson(value)}`);
-      }
-    }
-    if (this.failure !== null) {
-      fields.push(`failure=${indentJson(this.failure)}`);
-    }
-    return `Job(${fields.map((field) => `\n${REPR_INDENT}${field},`).join("")}\n)`;
-  }
-
-  [Symbol.for("nodejs.util.inspect.custom")](): string {
-    return this.toString();
-  }
-}
-
-const REPR_INDENT = "    ";
-
-// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
-function indentJson(value: any): string {
-  return JSON.stringify(value, null, 4).replace(/\n/g, `\n${REPR_INDENT}`);
-}
-
-// biome-ignore lint/suspicious/noExplicitAny: shape varies by job type
-function parseJson(raw: string | null | undefined): any | null {
-  return raw === null || raw === undefined ? null : JSON.parse(raw);
-}

nodejs/lancedb/materialized_view.ts

@@ -19,8 +19,6 @@ export interface MaterializedViewDefinition {
   limit?: number;
   /** Source columns the projections and filter read. */
   inputs: string[];
-  /** Namespace holding the source table; empty is the root namespace. */
-  sourceNamespace: string[];
 }
 
 /**
@@ -80,8 +78,7 @@ export function definitionFromMetadata(
   }
   // biome-ignore lint/suspicious/noExplicitAny: raw JSON
   const value: any = JSON.parse(raw);
-  // "namespaced_select" keeps older readers from resolving the source at root.
-  if (value.kind !== "select" && value.kind !== "namespaced_select") {
+  if (value.kind !== "select") {
     throw new Error(
       `materialized view '${name}' is defined by '${value.kind}', which this ` +
         "version of lancedb cannot refresh",
@@ -106,7 +103,6 @@ export function definitionFromMetadata(
     filter: value.filter ?? undefined,
     limit,
     inputs: value.inputs ?? [],
-    sourceNamespace: value.source_namespace ?? [],
   };
 }
 

nodejs/lancedb/query.ts

@@ -100,29 +100,6 @@ export interface FullTextSearchOptions {
   columns?: string | string[];
 }
 
-function nearestToNative(
-  inner: NativeQuery,
-  vector: Awaited<IntoVector>,
-): NativeVectorQuery {
-  const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector);
-  if (raw) {
-    return inner.nearestToRaw(raw.data, raw.dtype);
-  }
-  return inner.nearestTo(Float32Array.from(vector as number[]));
-}
-
-function addQueryVectorToNative(
-  inner: NativeVectorQuery,
-  vector: Awaited<IntoVector>,
-) {
-  const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector);
-  if (raw) {
-    inner.addQueryVectorRaw(raw.data, raw.dtype);
-  } else {
-    inner.addQueryVector(Float32Array.from(vector as number[]));
-  }
-}
-
 /** Common methods supported by all query types
  *
  * @see {@link Query}
@@ -134,15 +111,13 @@ export class QueryBase<
   NativeQueryType extends NativeQuery | NativeVectorQuery | NativeTakeQuery,
 > implements AsyncIterable<RecordBatch>
 {
-  protected inner!: NativeQueryType | Promise<NativeQueryType>;
-
   /**
    * @hidden
    */
-  protected constructor(inner?: NativeQueryType | Promise<NativeQueryType>) {
-    if (inner !== undefined) {
-      this.inner = inner;
-    }
+  protected constructor(
+    protected inner: NativeQueryType | Promise<NativeQueryType>,
+  ) {
+    // intentionally empty
   }
 
   // call a function on the inner (either a promise or the actual object)
@@ -160,15 +135,6 @@ export class QueryBase<
     }
   }
 
-  /**
-   * Return the native query used by the next terminal operation.
-   *
-   * @hidden
-   */
-  protected async getInner(): Promise<NativeQueryType> {
-    return this.inner;
-  }
-
   /**
    * Return only the specified columns.
    *
@@ -241,11 +207,16 @@ export class QueryBase<
   /**
    * @hidden
    */
-  protected async nativeExecute(
+  protected nativeExecute(
     options?: Partial<QueryExecutionOptions>,
   ): Promise<NativeBatchIterator> {
-    const inner = await this.getInner();
-    return inner.execute(options?.maxBatchLength, options?.timeoutMs);
+    if (this.inner instanceof Promise) {
+      return this.inner.then((inner) =>
+        inner.execute(options?.maxBatchLength, options?.timeoutMs),
+      );
+    } else {
+      return this.inner.execute(options?.maxBatchLength, options?.timeoutMs);
+    }
   }
 
   /**
@@ -274,7 +245,12 @@ export class QueryBase<
   /** Collect the results as an Arrow @see {@link ArrowTable}. */
   async toArrow(options?: Partial<QueryExecutionOptions>): Promise<ArrowTable> {
     const batches = [];
-    const inner = await this.getInner();
+    let inner;
+    if (this.inner instanceof Promise) {
+      inner = await this.inner;
+    } else {
+      inner = this.inner;
+    }
     for await (const batch of new RecordBatchIterable(inner, options)) {
       batches.push(batch);
     }
@@ -303,8 +279,11 @@ export class QueryBase<
    * @returns A Promise that resolves to a string containing the query execution plan explanation.
    */
   async explainPlan(verbose = false): Promise<string> {
-    const inner = await this.getInner();
-    return inner.explainPlan(verbose);
+    if (this.inner instanceof Promise) {
+      return this.inner.then((inner) => inner.explainPlan(verbose));
+    } else {
+      return this.inner.explainPlan(verbose);
+    }
   }
 
   /**
@@ -342,8 +321,13 @@ export class QueryBase<
     distributedMetrics?: AnalyzePlanDistributedMetrics,
   ): Promise<string> {
     const distributedMetricsMode = distributedMetrics ?? "aggregate";
-    const inner = await this.getInner();
-    return inner.analyzePlan(distributedMetricsMode);
+    if (this.inner instanceof Promise) {
+      return this.inner.then((inner) =>
+        inner.analyzePlan(distributedMetricsMode),
+      );
+    } else {
+      return this.inner.analyzePlan(distributedMetricsMode);
+    }
   }
 
   /**
@@ -355,8 +339,12 @@ export class QueryBase<
    * @returns An Arrow Schema describing the output columns.
    */
   async outputSchema(): Promise<import("./arrow").Schema> {
-    const inner = await this.getInner();
-    const schemaBuffer = await inner.outputSchema();
+    let schemaBuffer: Buffer;
+    if (this.inner instanceof Promise) {
+      schemaBuffer = await this.inner.then((inner) => inner.outputSchema());
+    } else {
+      schemaBuffer = await this.inner.outputSchema();
+    }
     const schema = tableFromIPC(schemaBuffer).schema;
     return schema;
   }
@@ -368,7 +356,7 @@ export class StandardQueryBase<
   extends QueryBase<NativeQueryType>
   implements ExecutableQuery
 {
-  constructor(inner?: NativeQueryType | Promise<NativeQueryType>) {
+  constructor(inner: NativeQueryType | Promise<NativeQueryType>) {
     super(inner);
   }
 
@@ -522,13 +510,6 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
     super(inner);
   }
 
-  /**
-   * @hidden
-   */
-  protected doVectorCall(fn: (inner: NativeVectorQuery) => void) {
-    super.doCall(fn);
-  }
-
   /**
    * Set the number of partitions to search (probe)
    *
@@ -556,7 +537,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * the minimum and maximum to the same value.
    */
   nprobes(nprobes: number): VectorQuery {
-    this.doVectorCall((inner) => inner.nprobes(nprobes));
+    super.doCall((inner) => inner.nprobes(nprobes));
 
     return this;
   }
@@ -570,7 +551,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * but will also increase latency.
    */
   minimumNprobes(minimumNprobes: number): VectorQuery {
-    this.doVectorCall((inner) => inner.minimumNprobes(minimumNprobes));
+    super.doCall((inner) => inner.minimumNprobes(minimumNprobes));
     return this;
   }
 
@@ -584,7 +565,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * potential false negatives.
    */
   maximumNprobes(maximumNprobes: number): VectorQuery {
-    this.doVectorCall((inner) => inner.maximumNprobes(maximumNprobes));
+    super.doCall((inner) => inner.maximumNprobes(maximumNprobes));
     return this;
   }
 
@@ -597,7 +578,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * `undefined` means no lower or upper bound.
    */
   distanceRange(lowerBound?: number, upperBound?: number): VectorQuery {
-    this.doVectorCall((inner) => inner.distanceRange(lowerBound, upperBound));
+    super.doCall((inner) => inner.distanceRange(lowerBound, upperBound));
     return this;
   }
 
@@ -611,7 +592,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * also increase the latency of your query. The default value is 1.5*limit.
    */
   ef(ef: number): VectorQuery {
-    this.doVectorCall((inner) => inner.ef(ef));
+    super.doCall((inner) => inner.ef(ef));
     return this;
   }
 
@@ -625,7 +606,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * whose data type is a fixed-size-list of floats.
    */
   column(column: string): VectorQuery {
-    this.doVectorCall((inner) => inner.column(column));
+    super.doCall((inner) => inner.column(column));
     return this;
   }
 
@@ -646,7 +627,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
   distanceType(
     distanceType: Required<IvfPqOptions>["distanceType"],
   ): VectorQuery {
-    this.doVectorCall((inner) => inner.distanceType(distanceType));
+    super.doCall((inner) => inner.distanceType(distanceType));
     return this;
   }
 
@@ -680,7 +661,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * distance between the query vector and the actual uncompressed vector.
    */
   refineFactor(refineFactor: number): VectorQuery {
-    this.doVectorCall((inner) => inner.refineFactor(refineFactor));
+    super.doCall((inner) => inner.refineFactor(refineFactor));
     return this;
   }
 
@@ -705,7 +686,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * factor can often help restore some of the results lost by post filtering.
    */
   postfilter(): VectorQuery {
-    this.doVectorCall((inner) => inner.postfilter());
+    super.doCall((inner) => inner.postfilter());
     return this;
   }
 
@@ -719,7 +700,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * calculate your recall to select an appropriate value for nprobes.
    */
   bypassVectorIndex(): VectorQuery {
-    this.doVectorCall((inner) => inner.bypassVectorIndex());
+    super.doCall((inner) => inner.bypassVectorIndex());
     return this;
   }
 
@@ -727,39 +708,43 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
    * Add a query vector to the search
    *
    * This method can be called multiple times to add multiple query vectors
-   * to the search. A column called `query_index` will be added to indicate the index
-   * of the query vector that produced the result. Flat searches share one table scan
-   * across the query vectors, avoiding the scan and memory amplification of running
-   * multiple queries concurrently. Indexed searches may still perform per-vector
-   * index work.
+   * to the search. If multiple query vectors are added, then they will be searched
+   * in parallel, and the results will be concatenated. A column called `query_index`
+   * will be added to indicate the index of the query vector that produced the result.
+   *
+   * Performance wise, this is equivalent to running multiple queries concurrently.
    */
   addQueryVector(vector: IntoVector): VectorQuery {
     if (vector instanceof Promise) {
-      // Observe the promise as soon as it is accepted. The existing native
-      // query may still be pending, and delaying observation until it resolves
-      // can otherwise surface a fast rejection as unhandled.
-      const settledVector = vector.then(
-        (value) => ({ status: "fulfilled" as const, value }),
-        (reason) => ({ status: "rejected" as const, reason }),
-      );
       const res = (async () => {
-        const inner = await this.getInner();
-        const outcome = await settledVector;
-        if (outcome.status === "rejected") {
-          throw outcome.reason;
+        try {
+          const v = await vector;
+          // biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
+          const value: any = this.addQueryVector(v);
+          const inner = value.inner as
+            | NativeVectorQuery
+            | Promise<NativeVectorQuery>;
+          return inner;
+        } catch (e) {
+          return Promise.reject(e);
         }
-        addQueryVectorToNative(inner, outcome.value);
-        return inner;
       })();
       return new VectorQuery(res);
     } else {
-      this.doVectorCall((inner) => addQueryVectorToNative(inner, vector));
+      super.doCall((inner) => {
+        const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector);
+        if (raw) {
+          inner.addQueryVectorRaw(raw.data, raw.dtype);
+        } else {
+          inner.addQueryVector(Float32Array.from(vector as number[]));
+        }
+      });
       return this;
     }
   }
 
   rerank(reranker: Reranker): VectorQuery {
-    this.doVectorCall((inner) =>
+    super.doCall((inner) =>
       inner.rerank(async (args) => {
         const vecResults = await fromBufferToRecordBatch(args.vecResults);
         const ftsResults = await fromBufferToRecordBatch(args.ftsResults);
@@ -778,71 +763,6 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
   }
 }
 
-/**
- * Create a string query whose vector/FTS routing is resolved against the active
- * table schema when the query executes.
- *
- * @hidden
- */
-export function createAutoQuery(
-  table: NativeTable,
-  query: string,
-  columns: string[] | null,
-  getVector: (metadata: string) => Promise<Awaited<IntoVector>>,
-): AutoQuery {
-  type RouteSnapshot = {
-    table: NativeTable;
-    embeddingMetadata: string | undefined;
-  };
-  type CachedPreparation = {
-    metadata: string;
-    vector: Promise<Awaited<IntoVector>>;
-  };
-
-  let cachedPreparation: CachedPreparation | undefined;
-
-  const snapshotRoute = async (): Promise<RouteSnapshot> => {
-    const snapshot = await table.querySnapshot();
-    const schema = tableFromIPC(await snapshot.schema()).schema;
-    return {
-      table: snapshot,
-      embeddingMetadata: schema.metadata.get("embedding_functions"),
-    };
-  };
-
-  const createInner = async (): Promise<NativeQuery | NativeVectorQuery> => {
-    const route = await snapshotRoute();
-    if (route.embeddingMetadata === undefined) {
-      const inner = route.table.query();
-      inner.fullTextSearch({ query, columns });
-      return inner;
-    }
-
-    const metadata = route.embeddingMetadata;
-    if (cachedPreparation?.metadata !== metadata) {
-      cachedPreparation = {
-        metadata,
-        vector: Promise.resolve().then(() => getVector(metadata)),
-      };
-    }
-
-    const preparation = cachedPreparation;
-    let vector: Awaited<IntoVector>;
-    try {
-      vector = await preparation.vector;
-    } catch (error) {
-      if (cachedPreparation === preparation) {
-        cachedPreparation = undefined;
-      }
-      throw error;
-    }
-
-    return nearestToNative(route.table.query(), vector);
-  };
-
-  return new AutoQuery(createInner);
-}
-
 /**
  * A query that returns a subset of the rows in the table.
  *
@@ -868,51 +788,6 @@ export class TakeQuery extends QueryBase<NativeTakeQuery> {
   }
 }
 
-/**
- * A builder for automatic string searches.
- *
- * Automatic search determines whether to use full-text or vector search from
- * the table revision selected for each execution. This builder exposes the
- * common operations supported by both query families.
- *
- * @hideconstructor
- */
-export class AutoQuery extends StandardQueryBase<
-  NativeQuery | NativeVectorQuery
-> {
-  private readonly calls: Array<
-    (inner: NativeQuery | NativeVectorQuery) => void
-  > = [];
-
-  /** @hidden */
-  constructor(
-    private readonly createInner: () => Promise<
-      NativeQuery | NativeVectorQuery
-    >,
-  ) {
-    super();
-  }
-
-  /** @hidden */
-  protected override doCall(
-    fn: (inner: NativeQuery | NativeVectorQuery) => void,
-  ) {
-    this.calls.push(fn);
-  }
-
-  /** @hidden */
-  protected override async getInner(): Promise<
-    NativeQuery | NativeVectorQuery
-  > {
-    const calls = [...this.calls];
-    const inner = await this.createInner();
-    for (const call of calls) {
-      call(inner);
-    }
-    return inner;
-  }
-}
-
 /** A builder for LanceDB queries.
  *
  * @see {@link Table#query}, {@link Table#search}
@@ -965,19 +840,45 @@ export class Query extends StandardQueryBase<NativeQuery> {
    * a default `limit` of 10 will be used.  @see {@link Query#limit}
    */
   nearestTo(vector: IntoVector): VectorQuery {
-    const inner = this.inner;
-    if (inner instanceof Promise) {
-      const nativeQuery = inner.then(async (resolvedInner) =>
-        nearestToNative(resolvedInner, await vector),
-      );
+    const callNearestTo = (
+      inner: NativeQuery,
+      resolved: Float32Array | Float64Array | Uint8Array | number[],
+    ): NativeVectorQuery => {
+      const raw = Array.isArray(resolved)
+        ? null
+        : extractVectorBuffer(resolved);
+      if (raw) {
+        return inner.nearestToRaw(raw.data, raw.dtype);
+      }
+      return inner.nearestTo(Float32Array.from(resolved as number[]));
+    };
+
+    if (this.inner instanceof Promise) {
+      const nativeQuery = this.inner.then(async (inner) => {
+        const resolved = vector instanceof Promise ? await vector : vector;
+        return callNearestTo(inner, resolved);
+      });
       return new VectorQuery(nativeQuery);
     }
     if (vector instanceof Promise) {
-      return new VectorQuery(
-        vector.then((resolvedVector) => nearestToNative(inner, resolvedVector)),
-      );
+      const res = (async () => {
+        try {
+          const v = await vector;
+          // biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
+          const value: any = this.nearestTo(v);
+          const inner = value.inner as
+            | NativeVectorQuery
+            | Promise<NativeVectorQuery>;
+          return inner;
+        } catch (e) {
+          return Promise.reject(e);
+        }
+      })();
+      return new VectorQuery(res);
+    } else {
+      const vectorQuery = callNearestTo(this.inner, vector);
+      return new VectorQuery(vectorQuery);
     }
-    return new VectorQuery(nearestToNative(inner, vector));
   }
 
   nearestToText(query: string | FullTextQuery, columns?: string[]): Query {

nodejs/lancedb/sanitize.ts

@@ -94,24 +94,17 @@ export function sanitizeMetadata(
   if (metadataLike === undefined || metadataLike === null) {
     return undefined;
   }
-
-  let entries: IterableIterator<[unknown, unknown]>;
-  try {
-    entries = Map.prototype.entries.call(metadataLike);
-  } catch {
+  if (!(metadataLike instanceof Map)) {
     throw Error("Expected metadata, if present, to be a Map<string, string>");
   }
-
-  const metadata = new Map<string, string>();
-  for (const [key, value] of entries) {
-    if (typeof key !== "string" || typeof value !== "string") {
+  for (const item of metadataLike) {
+    if (typeof item[0] !== "string" || typeof item[1] !== "string") {
       throw Error(
         "Expected metadata, if present, to be a Map<string, string> but it had non-string keys or values",
       );
     }
-    metadata.set(key, value);
   }
-  return metadata;
+  return metadataLike as Map<string, string>;
 }
 
 export function sanitizeInt(typeLike: object) {

nodejs/lancedb/schema.ts

@@ -1,567 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-import {
-  Binary,
-  Bool,
-  DataType,
-  Dictionary,
-  Field,
-  FixedSizeList,
-  Float32,
-  Float64,
-  Int32,
-  Int64,
-  List,
-  Schema,
-  Struct,
-  Utf8,
-  util as arrowUtil,
-} from "apache-arrow";
-import { typedArrayToArrowType } from "./arrow_type";
-import { sanitizeType } from "./sanitize";
-
-type InferenceOptions = {
-  dictionaryEncodeStrings: boolean;
-  vectorColumns: Record<string, { type: unknown }>;
-};
-
-/**
- * Infer the Arrow schema represented by a set of records.
- *
- * This is the intentionally small interface to schema inference. The stateful
- * details of combining partial type evidence are encapsulated below so callers
- * only need to provide records, an optional schema, and inference options.
- */
-export function inferSchema(
-  data: Array<Record<string, unknown>>,
-  schema: Schema | undefined,
-  options: InferenceOptions,
-): Schema {
-  return new SchemaInferrer(schema, options).infer(data);
-}
-
-class SchemaInferrer {
-  private readonly fields = new FieldTree();
-
-  constructor(
-    private readonly providedSchema: Schema | undefined,
-    private readonly options: InferenceOptions,
-  ) {}
-
-  infer(data: Array<Record<string, unknown>>): Schema {
-    for (const [row, record] of data.entries()) {
-      for (const [path, value] of recordPathsAndValues(record)) {
-        this.observe(path, value, row);
-      }
-    }
-
-    return this.providedSchema === undefined
-      ? new Schema(fieldsFromTree(this.fields))
-      : new Schema(matchingFields(this.providedSchema.fields, this.fields));
-  }
-
-  private observe(path: string[], value: unknown, row: number): void {
-    const current = this.fields.get(path);
-    if (current === undefined) {
-      this.addField(path, value, row);
-    } else if (this.providedSchema === undefined) {
-      this.updateInferredField(path, value, row, current);
-    }
-  }
-
-  private addField(path: string[], value: unknown, row: number): void {
-    if (this.providedSchema !== undefined) {
-      this.addSchemaField(this.providedSchema, path, row);
-      return;
-    }
-
-    const evidence =
-      this.inferType(value, path) ?? DeferredTypeEvidence.from(value, row);
-    if (evidence === undefined) {
-      throw typeInferenceError(path, row);
-    }
-
-    const conflict = this.fields.set(
-      path,
-      evidence,
-      (existing) =>
-        existing instanceof DeferredTypeEvidence && existing.isOnlyNulls(),
-    );
-    if (conflict !== undefined) {
-      throw branchConflictError(conflict, row, "Struct");
-    }
-  }
-
-  private addSchemaField(schema: Schema, path: string[], row: number): void {
-    const field = fieldAtPath(schema, path);
-    if (field === undefined) {
-      throw new Error(
-        `Found field not in schema: ${path.join(".")} at row ${row}`,
-      );
-    }
-
-    const conflict = this.fields.set(path, field.type);
-    if (conflict !== undefined) {
-      throw branchConflictError(conflict, row, "Struct");
-    }
-  }
-
-  private updateInferredField(
-    path: string[],
-    value: unknown,
-    row: number,
-    current: FieldNode,
-  ): void {
-    const newType = this.inferType(value, path);
-    const deferred = DeferredTypeEvidence.from(value, row);
-
-    if (current instanceof FieldTree) {
-      if (deferred?.isOnlyNulls()) {
-        return;
-      }
-      throw schemaInferenceError(
-        path,
-        row,
-        "Struct",
-        describeEvidence(newType ?? deferred),
-      );
-    }
-
-    if (current instanceof DeferredTypeEvidence) {
-      this.resolveDeferredField(path, row, current, newType, deferred);
-      return;
-    }
-
-    if (newType !== undefined) {
-      if (!inferredTypesEqual(current, newType)) {
-        throw schemaInferenceError(
-          path,
-          row,
-          describeEvidence(current),
-          describeEvidence(newType),
-        );
-      }
-      return;
-    }
-
-    if (deferred === undefined || !deferred.matches(current)) {
-      throw schemaInferenceError(
-        path,
-        row,
-        describeEvidence(current),
-        describeEvidence(deferred),
-      );
-    }
-  }
-
-  private resolveDeferredField(
-    path: string[],
-    row: number,
-    current: DeferredTypeEvidence,
-    newType: DataType | undefined,
-    deferred: DeferredTypeEvidence | undefined,
-  ): void {
-    if (newType !== undefined) {
-      if (!current.matches(newType)) {
-        throw schemaInferenceError(
-          path,
-          row,
-          current.describe(),
-          describeEvidence(newType),
-        );
-      }
-      this.fields.set(path, newType);
-      return;
-    }
-
-    if (deferred !== undefined) {
-      this.fields.set(path, current.merge(deferred));
-      return;
-    }
-
-    throw schemaInferenceError(
-      path,
-      row,
-      current.describe(),
-      describeEvidence(newType),
-    );
-  }
-
-  private inferType(value: unknown, path: string[]): DataType | undefined {
-    if (typeof value === "bigint") {
-      return new Int64();
-    }
-    if (typeof value === "number") {
-      return new Float64();
-    }
-    if (typeof value === "string") {
-      return this.options.dictionaryEncodeStrings
-        ? new Dictionary(new Utf8(), new Int32())
-        : new Utf8();
-    }
-    if (typeof value === "boolean") {
-      return new Bool();
-    }
-    if (value instanceof Buffer) {
-      return new Binary();
-    }
-    if (ArrayBuffer.isView(value) && !(value instanceof DataView)) {
-      const typedArray = typedArrayToArrowType(value);
-      return typedArray === undefined
-        ? undefined
-        : new FixedSizeList(
-            typedArray.length,
-            new Field("item", typedArray.elementType, true),
-          );
-    }
-    if (!Array.isArray(value) || value.length === 0) {
-      return undefined;
-    }
-
-    const configuredVector =
-      path.length === 1 ? this.options.vectorColumns[path[0]] : undefined;
-    if (configuredVector !== undefined) {
-      return new FixedSizeList(
-        value.length,
-        new Field("item", sanitizeType(configuredVector.type), true),
-      );
-    }
-
-    const itemType = this.inferArrayItemType(value, path);
-    if (itemType === undefined) {
-      return undefined;
-    }
-
-    return nameSuggestsVectorColumn(path[path.length - 1])
-      ? new FixedSizeList(value.length, new Field("item", new Float32(), true))
-      : new List(new Field("item", itemType, true));
-  }
-
-  private inferArrayItemType(
-    values: unknown[],
-    path: string[],
-  ): DataType | undefined {
-    let itemType: DataType | undefined;
-    const deferredItems: unknown[] = [];
-
-    for (const value of values) {
-      const candidate = this.inferType(value, path);
-      if (candidate === undefined) {
-        if (!isDeferredValue(value)) {
-          return undefined;
-        }
-        deferredItems.push(value);
-      } else if (itemType === undefined) {
-        itemType = candidate;
-      } else if (!inferredTypesEqual(itemType, candidate)) {
-        return undefined;
-      }
-    }
-
-    if (itemType === undefined) {
-      return undefined;
-    }
-    return deferredItems.every((value) =>
-      deferredValueMatchesType(value, itemType),
-    )
-      ? itemType
-      : undefined;
-  }
-}
-
-/** Nulls and empty/all-null lists that do not determine a type by themselves. */
-class DeferredTypeEvidence {
-  private constructor(
-    private readonly values: Array<{ value: unknown; row: number }>,
-  ) {}
-
-  static from(value: unknown, row: number): DeferredTypeEvidence | undefined {
-    return isDeferredValue(value)
-      ? new DeferredTypeEvidence([{ value, row }])
-      : undefined;
-  }
-
-  isOnlyNulls(): boolean {
-    return this.values.every(({ value }) => value == null);
-  }
-
-  matches(type: DataType): boolean {
-    return this.values.every(({ value }) =>
-      deferredValueMatchesType(value, type),
-    );
-  }
-
-  merge(other: DeferredTypeEvidence): DeferredTypeEvidence {
-    return new DeferredTypeEvidence([...this.values, ...other.values]);
-  }
-
-  describe(): string {
-    const list = this.values.find(({ value }) => Array.isArray(value));
-    return list === undefined
-      ? "null"
-      : `List[${(list.value as unknown[]).length}]`;
-  }
-
-  firstRow(): number {
-    return this.values[0].row;
-  }
-}
-
-type FieldNode = DataType | DeferredTypeEvidence | FieldTree;
-type LeafNode = Exclude<FieldNode, FieldTree>;
-type FieldConflict = { path: string[]; value: FieldNode };
-
-/** Nested field state, kept separate from Arrow's eventual Struct types. */
-class FieldTree {
-  private readonly children = new Map<string, FieldNode>();
-
-  get(path: string[]): FieldNode | undefined {
-    let current: FieldNode = this;
-    for (const part of path) {
-      if (!(current instanceof FieldTree)) {
-        return undefined;
-      }
-      const child = current.children.get(part);
-      if (child === undefined) {
-        return undefined;
-      }
-      current = child;
-    }
-    return current;
-  }
-
-  set(
-    path: string[],
-    value: LeafNode,
-    canReplaceLeaf: (value: LeafNode) => boolean = () => false,
-  ): FieldConflict | undefined {
-    let branch: FieldTree = this;
-    for (const [index, part] of path.slice(0, -1).entries()) {
-      const child = branch.children.get(part);
-      if (child === undefined || (isLeaf(child) && canReplaceLeaf(child))) {
-        const nextBranch = new FieldTree();
-        branch.children.set(part, nextBranch);
-        branch = nextBranch;
-      } else if (child instanceof FieldTree) {
-        branch = child;
-      } else {
-        return { path: path.slice(0, index + 1), value: child };
-      }
-    }
-
-    const name = path[path.length - 1];
-    const current = branch.children.get(name);
-    if (current instanceof FieldTree) {
-      return { path, value: current };
-    }
-    branch.children.set(name, value);
-    return undefined;
-  }
-
-  entries(): IterableIterator<[string, FieldNode]> {
-    return this.children.entries();
-  }
-
-  has(name: string): boolean {
-    return this.children.has(name);
-  }
-}
-
-function isLeaf(value: FieldNode): value is LeafNode {
-  return !(value instanceof FieldTree);
-}
-
-function fieldsFromTree(tree: FieldTree, path: string[] = []): Field[] {
-  const fields: Field[] = [];
-  for (const [name, value] of tree.entries()) {
-    if (value instanceof FieldTree) {
-      fields.push(
-        new Field(
-          name,
-          new Struct(fieldsFromTree(value, [...path, name])),
-          true,
-        ),
-      );
-    } else if (value instanceof DeferredTypeEvidence) {
-      throw typeInferenceError([...path, name], value.firstRow());
-    } else {
-      fields.push(new Field(name, value, true));
-    }
-  }
-  return fields;
-}
-
-function matchingFields(fields: Field[], tree: FieldTree): Field[] {
-  const matches: Field[] = [];
-  for (const field of fields) {
-    if (!tree.has(field.name)) {
-      continue;
-    }
-    const value = tree.get([field.name]);
-    if (value instanceof FieldTree) {
-      const struct = field.type as Struct;
-      matches.push(
-        new Field(
-          field.name,
-          new Struct(matchingFields(struct.children, value)),
-          field.nullable,
-          field.metadata,
-        ),
-      );
-    } else {
-      matches.push(field);
-    }
-  }
-  return matches;
-}
-
-function* recordPathsAndValues(
-  record: Record<string, unknown>,
-  path: string[] = [],
-): Generator<[string[], unknown]> {
-  for (const [name, value] of Object.entries(record)) {
-    if (isRecord(value)) {
-      yield* recordPathsAndValues(value, [...path, name]);
-    } else if (value !== undefined) {
-      yield [[...path, name], value];
-    }
-  }
-}
-
-function isRecord(value: unknown): value is Record<string, unknown> {
-  return (
-    typeof value === "object" &&
-    value !== null &&
-    !Array.isArray(value) &&
-    !(value instanceof RegExp) &&
-    !(value instanceof Date) &&
-    !(value instanceof Set) &&
-    !(value instanceof Map) &&
-    !(value instanceof Buffer) &&
-    !ArrayBuffer.isView(value)
-  );
-}
-
-function fieldAtPath(schema: Schema, path: string[]): Field | undefined {
-  let fields = schema.fields;
-  let field: Field | undefined;
-  for (const [index, name] of path.entries()) {
-    field = fields.find((candidate) => candidate.name === name);
-    if (field === undefined || index === path.length - 1) {
-      return field;
-    }
-    if (!DataType.isStruct(field.type)) {
-      return undefined;
-    }
-    fields = field.type.children;
-  }
-  return field;
-}
-
-function isDeferredValue(value: unknown): boolean {
-  return (
-    value == null || (Array.isArray(value) && value.every(isDeferredValue))
-  );
-}
-
-function deferredValueMatchesType(value: unknown, type: DataType): boolean {
-  if (value == null) {
-    return true;
-  }
-  if (!Array.isArray(value)) {
-    return false;
-  }
-  if (DataType.isList(type)) {
-    return value.every((item) =>
-      deferredValueMatchesType(item, type.valueType),
-    );
-  }
-  if (DataType.isFixedSizeList(type)) {
-    return (
-      value.length === type.listSize &&
-      value.every((item) => deferredValueMatchesType(item, type.valueType))
-    );
-  }
-  return false;
-}
-
-function inferredTypesEqual(current: DataType, candidate: DataType): boolean {
-  if (DataType.isDictionary(current)) {
-    return (
-      DataType.isDictionary(candidate) &&
-      current.isOrdered === candidate.isOrdered &&
-      inferredTypesEqual(current.indices, candidate.indices) &&
-      inferredTypesEqual(current.dictionary, candidate.dictionary)
-    );
-  }
-  if (DataType.isList(current)) {
-    return (
-      DataType.isList(candidate) &&
-      current.valueField.name === candidate.valueField.name &&
-      current.valueField.nullable === candidate.valueField.nullable &&
-      inferredTypesEqual(current.valueType, candidate.valueType)
-    );
-  }
-  if (DataType.isFixedSizeList(current)) {
-    return (
-      DataType.isFixedSizeList(candidate) &&
-      current.listSize === candidate.listSize &&
-      current.valueField.name === candidate.valueField.name &&
-      current.valueField.nullable === candidate.valueField.nullable &&
-      inferredTypesEqual(current.valueType, candidate.valueType)
-    );
-  }
-  return arrowUtil.compareTypes(current, candidate);
-}
-
-function describeEvidence(
-  evidence: DataType | DeferredTypeEvidence | undefined,
-): string {
-  if (evidence === undefined) {
-    return "an unsupported value";
-  }
-  return evidence instanceof DeferredTypeEvidence
-    ? evidence.describe()
-    : evidence.toString();
-}
-
-function branchConflictError(
-  conflict: FieldConflict,
-  row: number,
-  candidate: string,
-): Error {
-  return schemaInferenceError(
-    conflict.path,
-    row,
-    conflict.value instanceof FieldTree
-      ? "Struct"
-      : describeEvidence(conflict.value),
-    candidate,
-  );
-}
-
-function schemaInferenceError(
-  path: string[],
-  row: number,
-  currentType: string,
-  newType: string,
-): Error {
-  return new Error(
-    `Failed to infer schema for data. Previously inferred type ${currentType} ` +
-      `but found ${newType} for field ${path.join(".")} at row ${row}. ` +
-      "Consider providing an explicit schema.",
-  );
-}
-
-function typeInferenceError(path: string[], row: number): Error {
-  return new Error(
-    `Failed to infer data type for field ${path.join(".")} at row ${row}. ` +
-      "Consider providing an explicit schema.",
-  );
-}
-
-function nameSuggestsVectorColumn(name: string): boolean {
-  const normalized = name.toLowerCase();
-  return normalized.includes("vector") || normalized.includes("embedding");
-}

nodejs/lancedb/table.ts

@@ -19,7 +19,6 @@ import {
 
 import { EmbeddingFunctionConfig, getRegistry } from "./embedding/registry";
 import { IndexOptions } from "./indices";
-import { Job } from "./job";
 import { MergeInsertBuilder } from "./merge";
 import {
   AddColumnsResult,
@@ -31,6 +30,7 @@ import {
   DropColumnsResult,
   IndexConfig,
   IndexStatistics,
+  Job,
   LsmStats,
   Branches as NativeBranches,
   OptimizeStats,
@@ -43,12 +43,10 @@ import {
   Table as _NativeTable,
 } from "./native";
 import {
-  AutoQuery,
   FullTextQuery,
   Query,
   TakeQuery,
   VectorQuery,
-  createAutoQuery,
   instanceOfFullTextQuery,
 } from "./query";
 import { sanitizeType } from "./sanitize";
@@ -525,7 +523,7 @@ export abstract class Table {
     query: string | IntoVector | MultiVector | FullTextQuery,
     queryType?: string,
     ftsColumns?: string | string[],
-  ): VectorQuery | Query | AutoQuery;
+  ): VectorQuery | Query;
   /**
    * Search the table with a given query vector.
    *
@@ -630,18 +628,6 @@ export abstract class Table {
 
   /**
    * Update per-field (column) metadata.
-   *
-   * The following keys are treated specially, by convention, and should be
-   * used when appropriate:
-   *
-   * - `lancedb:description`: for a human-readable description of a field.
-   * - `lancedb:tag:<name>`: for a user-defined key-value tag, where the suffix
-   *   names the tag category; e.g. `lancedb:tag:model: "clip"`.
-   * - `lancedb:logical-column`: for a column grouping; e.g. `feature_v1` and
-   *   `feature_v2` might be in the same logical column.
-   * - `lancedb:status`: for status options (`production`, `candidate`,
-   *   `deprecated`, `archived`) to designate the current life cycle state of
-   *   this column.
    * @param {FieldMetadataUpdate[]} updates One or more per-field updates. Each
    * update's metadata is merged into the field's existing metadata by default;
    * a value of `null` deletes that key, and `replace: true` swaps the whole map.
@@ -919,16 +905,6 @@ export abstract class Table {
   /** Return the table as an arrow table */
   abstract toArrow(): Promise<ArrowTable>;
 
-  /**
-   * Create a {@link MergeInsertBuilder}, which combines new data with the
-   * existing table in a single transaction — inserting, updating and deleting
-   * rows depending on how they match.
-   *
-   * @param on - The column, or columns, to match source rows against target
-   * rows on. Typically a key or id column. Several columns match on the
-   * composite key: a source row updates a target row only when it agrees on
-   * every one of them.
-   */
   abstract mergeInsert(on: string | string[]): MergeInsertBuilder;
 
   /** List all the stats of a specified index
@@ -999,11 +975,10 @@ export class LocalTable extends Table {
     return this.inner.display();
   }
 
-  private async getEmbeddingFunctions(
-    inner: _NativeTable = this.inner,
-  ): Promise<Map<string, EmbeddingFunctionConfig>> {
-    const schemaBuf = await inner.schema();
-    const schema = tableFromIPC(schemaBuf).schema;
+  private async getEmbeddingFunctions(): Promise<
+    Map<string, EmbeddingFunctionConfig>
+  > {
+    const schema = await this.schema();
     const registry = getRegistry();
     return registry.parseFunctions(schema.metadata);
   }
@@ -1124,15 +1099,13 @@ export class LocalTable extends Table {
   ): Promise<Job> {
     // biome-ignore lint/suspicious/noExplicitAny: skip
     const nativeIndex = (options?.config as any)?.inner;
-    return new Job(
-      await this.inner.createIndexAsync(
-        nativeIndex,
-        column,
-        options?.replace,
-        options?.waitTimeoutSeconds,
-        options?.name,
-        options?.train,
-      ),
+    return await this.inner.createIndexAsync(
+      nativeIndex,
+      column,
+      options?.replace,
+      options?.waitTimeoutSeconds,
+      options?.name,
+      options?.train,
     );
   }
 
@@ -1187,7 +1160,7 @@ export class LocalTable extends Table {
     query: string | IntoVector | MultiVector | FullTextQuery,
     queryType: string = "auto",
     ftsColumns?: string | string[],
-  ): VectorQuery | Query | AutoQuery {
+  ): VectorQuery | Query {
     if (typeof query !== "string" && !instanceOfFullTextQuery(query)) {
       if (queryType === "fts") {
         throw new Error("Cannot perform full text search on a vector query");
@@ -1202,28 +1175,14 @@ export class LocalTable extends Table {
       });
     }
 
-    if (queryType === "auto") {
-      if (instanceOfFullTextQuery(query)) {
-        return this.query().fullTextSearch(query, {
-          columns: ftsColumns,
-        });
-      }
-
-      const columns =
-        typeof ftsColumns === "string" ? [ftsColumns] : (ftsColumns ?? null);
-      return createAutoQuery(this.inner, query, columns, async (metadata) => {
-        const functions = await getRegistry().parseFunctions(
-          new Map([["embedding_functions", metadata]]),
-        );
-        // TODO: Support multiple embedding functions
-        const embeddingFunc: EmbeddingFunctionConfig | undefined = functions
-          .values()
-          .next().value;
-        // The route only calls this callback when embedding metadata exists.
-        // parseFunctions either yields a provider or reports malformed metadata.
-        if (!embeddingFunc)
-          throw new Error("Invalid embedding function metadata");
-        return await embeddingFunc.function.computeQueryEmbeddings(query);
+    // The query type is auto or vector
+    // fall back to full text search if no embedding functions are defined and the query is a string
+    if (
+      queryType === "auto" &&
+      (getRegistry().length() === 0 || instanceOfFullTextQuery(query))
+    ) {
+      return this.query().fullTextSearch(query, {
+        columns: ftsColumns,
       });
     }
 
@@ -1315,7 +1274,7 @@ export class LocalTable extends Table {
   }
 
   async refreshColumnAsync(column: string): Promise<Job> {
-    return new Job(await this.inner.refreshColumnAsync(column));
+    return await this.inner.refreshColumnAsync(column);
   }
 
   async refreshMaterializedView(
@@ -1579,8 +1538,7 @@ export interface FieldMetadataUpdate {
   path: string;
   /**
    * Metadata key/value pairs. Merged into the field's existing metadata by
-   * default; a value of `null` deletes that key. See
-   * {@link Table.updateFieldMetadata} for the conventional `lancedb:*` keys.
+   * default; a value of `null` deletes that key.
    */
   metadata: Record<string, string | null>;
   /** If true, replace the field's entire metadata map instead of merging. */

nodejs/npm/darwin-arm64/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",

nodejs/npm/linux-arm64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",

nodejs/npm/linux-arm64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",

nodejs/npm/linux-x64-gnu/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",

nodejs/npm/linux-x64-musl/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",

nodejs/npm/win32-arm64-msvc/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.39.0-beta.4",
+  "version": "0.38.0-beta.6",
   "os": [
     "win32"
   ],

nodejs/npm/win32-x64-msvc/package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.39.0-beta.4",
+	"version": "0.38.0-beta.6",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",

nodejs/package.json

@@ -11,7 +11,7 @@
     "ann"
   ],
   "private": false,
-  "version": "0.39.0-beta.4",
+  "version": "0.38.0-beta.6",
   "main": "dist/index.js",
   "exports": {
     ".": "./dist/index.js",
@@ -44,7 +44,7 @@
     "@biomejs/biome": "^1.7.3",
     "@jest/globals": "^29.7.0",
     "@napi-rs/cli": "3.7.0",
-    "@opentelemetry/sdk-metrics": "^2.10.0",
+    "@opentelemetry/sdk-metrics": "^1.30.0",
     "@types/axios": "^0.14.0",
     "@types/jest": "^29.1.2",
     "@types/node": "22.7.4",
@@ -56,7 +56,7 @@
     "eslint": "^8.57.0",
     "jest": "^29.7.0",
     "shx": "^0.3.4",
-    "tmp": "^0.2.7",
+    "tmp": "^0.2.3",
     "ts-jest": "^29.1.2",
     "typedoc": "0.26.4",
     "typedoc-plugin-markdown": "4.2.1",
@@ -67,7 +67,7 @@
     "timeout": "3m"
   },
   "engines": {
-    "node": ">= 22"
+    "node": ">= 18"
   },
   "packageManager": "pnpm@11.1.1",
   "cpu": ["x64", "arm64"],
@@ -101,7 +101,7 @@
     "openai": "4.29.2"
   },
   "peerDependencies": {
-    "@types/node": ">=22",
+    "@types/node": ">=18",
     "apache-arrow": ">=15.0.0 <=18.1.0"
   },
   "peerDependenciesMeta": {

nodejs/pnpm-workspace.yaml

@@ -16,41 +16,3 @@ allowBuilds:
   onnxruntime-node: true
   protobufjs: true
   sharp: true
-
-minimumReleaseAgeExclude:
-  - protobufjs@7.5.8
-  - tmp@0.2.6
-  - form-data@4.0.6
-  - tar@7.5.16
-  - markdown-it@14.1.2
-  - linkify-it@5.0.1
-  - js-yaml@3.15.0
-  - js-yaml@4.1.2
-  - protobufjs@7.6.1
-  - protobufjs@7.6.3
-  - '@babel/core@7.29.1'
-  - axios@1.18.0
-  - brace-expansion@2.1.2
-  - brace-expansion@1.1.16
-  - js-yaml@4.3.0
-  - tar@7.5.18
-  - tar@7.5.19
-  - tar@7.5.17
-  - protobufjs@7.6.5
-  - linkify-it@5.0.2
-  - sharp@0.35.0
-  - brace-expansion@1.1.17
-  - brace-expansion@2.1.3
-  - brace-expansion@2.1.4
-  - brace-expansion@1.1.18
-  - js-yaml@3.15.1
-  - js-yaml@4.3.1
-  - tar@7.5.21
-  - '@opentelemetry/core@2.8.0'
-
-# @huggingface/transformers pins sharp ^0.33.5 and no released version has moved
-# past ^0.34.5, all of which inherit the libvips CVEs in GHSA-f88m-g3jw-g9cj.
-# Force the patched line. sharp is only reached by transformers' image pipeline,
-# which LanceDB's text embedding function never uses.
-overrides:
-  sharp: ^0.35.4

nodejs/src/connection.rs

@@ -17,7 +17,6 @@ use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection, conne
 
 use lance_namespace::models::{
     CreateNamespaceRequest, DescribeNamespaceRequest, DropNamespaceRequest, ListNamespacesRequest,
-    ListTablesRequest,
 };
 use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema};
 
@@ -37,12 +36,6 @@ pub struct ListNamespacesResponse {
     pub page_token: Option<String>,
 }
 
-#[napi(object)]
-pub struct ListTablesResponse {
-    pub tables: Vec<String>,
-    pub page_token: Option<String>,
-}
-
 #[napi(object)]
 pub struct CreateNamespaceResponse {
     pub properties: Option<HashMap<String, String>>,
@@ -213,33 +206,6 @@ impl Connection {
         op.execute().await.default_error()
     }
 
-    /// List a page of tables in the database.
-    #[napi(catch_unwind)]
-    pub async fn list_tables(
-        &self,
-        namespace_path: Option<Vec<String>>,
-        page_token: Option<String>,
-        limit: Option<u32>,
-    ) -> napi::Result<ListTablesResponse> {
-        let request = ListTablesRequest {
-            // The root namespace is an empty path, not an absent one: a namespace-backed
-            // database rejects a request that names no namespace.
-            id: Some(namespace_path.unwrap_or_default()),
-            page_token,
-            limit: limit.map(|limit| i32::try_from(limit).unwrap_or(i32::MAX)),
-            ..Default::default()
-        };
-        let response = self
-            .get_inner()?
-            .list_tables(request)
-            .await
-            .default_error()?;
-        Ok(ListTablesResponse {
-            tables: response.tables,
-            page_token: response.page_token,
-        })
-    }
-
     /// Create table from a Apache Arrow IPC (file) buffer.
     ///
     /// Parameters:
@@ -442,15 +408,13 @@ impl Connection {
         self.get_inner()?.drop_all_tables(&ns).await.default_error()
     }
 
-    /// Open a server-side job by id, returning a handle with its record
-    /// already populated. Rejects when the server has no such job.
+    /// A `Job` handle for a server-side job by id.
     ///
-    /// The returned handle answers for its own state, specification, result,
-    /// failure and event history, so there is no separate connection-level
-    /// call for any of them.
-    #[napi(catch_unwind)]
-    pub async fn open_job(&self, job_id: String) -> napi::Result<crate::job::Job> {
-        let job = self.get_inner()?.open_job(&job_id).await.default_error()?;
+    /// 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<crate::job::Job> {
+        let job = self.get_inner()?.job(job_id).default_error()?;
         Ok(crate::job::Job::new(job))
     }
 
@@ -461,6 +425,17 @@ impl Connection {
         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<Option<crate::job::JobDescription>> {
+        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)]
@@ -468,6 +443,34 @@ impl Connection {
         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<String>) -> napi::Result<Buffer> {
+        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::<u8>::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(

nodejs/src/job.rs

@@ -3,9 +3,6 @@
 
 use std::sync::Arc;
 
-use arrow_array::RecordBatch;
-use lancedb::job::JobEventsRequest;
-use napi::bindgen_prelude::Buffer;
 use napi_derive::napi;
 
 use crate::error::NapiErrorExt;
@@ -58,98 +55,12 @@ impl Job {
     pub async fn cancel(&self) -> napi::Result<()> {
         self.inner.cancel().await.default_error()
     }
-
-    /// Ask the backend for this job's current state, and for a server-side job
-    /// its full record, then cache it for the getters below.
-    ///
-    /// They are all null until this runs, because submitting an operation
-    /// returns only a job id. {@link Job.status} fetches the whole record too;
-    /// {@link Job.wait} records only the terminal state it establishes.
-    #[napi(catch_unwind)]
-    pub async fn refresh(&self) -> napi::Result<()> {
-        self.inner.refresh().await.default_error()
-    }
-
-    /// The last observed lifecycle state, without contacting the backend.
-    #[napi(getter)]
-    pub fn state(&self) -> Option<String> {
-        self.inner.state()
-    }
-
-    /// The job's type, as the server names it. Null for an in-process job,
-    /// which has no server-side record.
-    #[napi(getter)]
-    pub fn job_type(&self) -> Option<String> {
-        self.inner.job_type()
-    }
-
-    /// When the job was created, in milliseconds since the epoch.
-    #[napi(getter)]
-    pub fn creation_ms(&self) -> Option<i64> {
-        self.inner.creation_ms()
-    }
-
-    /// The job-type-specific specification as a JSON string, when present.
-    #[napi(getter)]
-    pub fn spec_json(&self) -> Option<String> {
-        self.inner.spec().map(|spec| spec.to_string())
-    }
-
-    /// The job-type-specific terminal result as a JSON string. Null until the
-    /// job succeeds, so a job that never terminates reports its progress
-    /// through {@link Job.events} instead.
-    #[napi(getter)]
-    pub fn result_json(&self) -> Option<String> {
-        self.inner.result().map(|result| result.to_string())
-    }
-
-    /// Why the job failed, when it failed and the server reports a reason.
-    #[napi(getter)]
-    pub fn failure(&self) -> Option<JobFailureInfo> {
-        self.inner.failure().map(|failure| JobFailureInfo {
-            phase: failure.phase,
-            message: failure.message,
-            retryable: failure.retryable,
-        })
-    }
-
-    /// This job's recorded lifecycle events, as an Arrow IPC stream buffer.
-    /// The TypeScript wrapper turns it into an Arrow table.
-    #[napi(catch_unwind)]
-    pub async fn events(&self, limit: Option<u32>, filter: Option<String>) -> napi::Result<Buffer> {
-        let batches = self
-            .inner
-            .events(JobEventsRequest { limit, filter })
-            .await
-            .default_error()?;
-        batches_to_ipc_buffer(&batches)
-    }
-}
-
-/// Serialise Arrow batches as a single IPC stream for the TypeScript layer.
-fn batches_to_ipc_buffer(batches: &[RecordBatch]) -> napi::Result<Buffer> {
-    let Some(first) = batches.first() else {
-        return Ok(Buffer::from(Vec::<u8>::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))
 }
 
 /// A row from `Connection.listJobs`: one server-side job.
 #[napi(object)]
 pub struct JobInfo {
-    /// The job id -- what `Connection.openJob` and `Connection.cancelJob`
+    /// The job id -- what `Connection.getJob` and `Connection.cancelJob`
     /// accept.
     pub job_id: String,
     /// The table the job runs against, without URI or namespace.
@@ -180,3 +91,36 @@ pub struct JobFailureInfo {
     pub message: Option<String>,
     pub retryable: Option<bool>,
 }
+
+/// 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<String>,
+    /// Why the job failed, when the job is failed and the server reports a
+    /// reason.
+    pub failure: Option<JobFailureInfo>,
+}
+
+impl From<lancedb::database::JobDescription> 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,
+            }),
+        }
+    }
+}

nodejs/src/query.rs

@@ -664,11 +664,7 @@ impl JsFullTextQuery {
 }
 
 fn parse_fts_query(query: Object) -> napi::Result<FullTextSearchQuery> {
-    // `&JsFullTextQuery` recovers a native class reference through napi's borrow-tracked
-    // path, which is only usable from generated `#[napi]` argument conversion. This is a
-    // manual lookup on a nested `Object` property instead, so use `ClassInstance`, which
-    // unwraps the class without requiring a borrow scope.
-    if let Ok(Some(query)) = query.get::<ClassInstance<JsFullTextQuery>>("query") {
+    if let Ok(Some(query)) = query.get::<&JsFullTextQuery>("query") {
         Ok(FullTextSearchQuery::new_query(query.inner.clone()))
     } else if let Ok(Some(query_text)) = query.get::<String>("query") {
         let mut query_text = query_text;

nodejs/src/table.rs

@@ -278,13 +278,6 @@ impl Table {
         Ok(Query::new(self.inner_ref()?.query()))
     }
 
-    /// Return a read-only table handle pinned to the current query revision.
-    #[napi(catch_unwind)]
-    pub async fn query_snapshot(&self) -> napi::Result<Self> {
-        let snapshot = self.inner_ref()?.query_snapshot().await.default_error()?;
-        Ok(Self::new(snapshot))
-    }
-
     #[napi(catch_unwind)]
     pub fn take_offsets(&self, offsets: Vec<i64>) -> napi::Result<TakeQuery> {
         Ok(TakeQuery::new(
@@ -561,12 +554,6 @@ impl Table {
             .default_error()
     }
 
-    #[napi(catch_unwind)]
-    pub async fn checkout_current(&self) -> napi::Result<Self> {
-        let table = self.inner_ref()?.checkout_current().await.default_error()?;
-        Ok(Self::new(table))
-    }
-
     #[napi(catch_unwind)]
     pub async fn checkout(&self, version: i64) -> napi::Result<()> {
         self.inner_ref()?

python/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.39.0-beta.4"
+version = "0.38.0-beta.6"
 publish = false
 edition.workspace = true
 description = "Python bindings for LanceDB"
@@ -28,7 +28,7 @@ env_logger.workspace = true
 log.workspace = true
 # Maturin enables extension-module mode for Python builds. Keeping it out of
 # Cargo features lets Rust unit tests link against libpython.
-pyo3 = { version = "0.28", features = ["abi3-py310", "chrono", "uuid"] }
+pyo3 = { version = "0.28", features = ["abi3-py310", "chrono"] }
 chrono.workspace = true
 pyo3-async-runtimes = { version = "0.28", features = [
     "attributes",
@@ -40,7 +40,6 @@ serde.workspace = true
 serde_json.workspace = true
 snafu.workspace = true
 tokio.workspace = true
-uuid.workspace = true
 libc = "0.2"
 
 [build-dependencies]

python/pyproject.toml

@@ -101,12 +101,9 @@ azure = ["adlfs>=2024.2.0"]
 [tool.maturin]
 python-source = "python"
 module-name = "lancedb._lancedb"
-# uv installs the project as an editable package before `uv run`, so keep that
-# bootstrap build consistent with `maturin develop`.
-editable-profile = "dev"
 
 [build-system]
-requires = ["maturin>=1.10"]
+requires = ["maturin>=1.9.4"]
 build-backend = "maturin"
 
 [tool.ruff.lint]
@@ -139,7 +136,6 @@ include = [
     "python/lancedb/exceptions.py",
     "python/lancedb/background_loop.py",
     "python/lancedb/schema.py",
-    "python/lancedb/sql.py",
     "python/lancedb/remote/__init__.py",
     "python/lancedb/remote/errors.py",
     "python/lancedb/embeddings/__init__.py",

python/python/lancedb/__init__.py

@@ -6,7 +6,7 @@ import importlib.metadata
 import os
 from concurrent.futures import ThreadPoolExecutor
 from datetime import timedelta
-from typing import Dict, Optional, Union, Any, List, Iterable, TYPE_CHECKING
+from typing import Dict, Optional, Union, Any, List, Iterable
 
 __version__ = importlib.metadata.version("lancedb")
 
@@ -20,13 +20,9 @@ from .db import AsyncConnection, DBConnection, LanceDBConnection
 from .remote import ClientConfig
 from .remote.db import RemoteDBConnection
 from .expr import Expr, col, lit, func
-from .schema import blob, vector
+from .schema import blob, vector, BlobType
 from .job import AsyncJob, Job
-from .sql import AsyncQuery as AsyncSqlQuery
-from .sql import Query as SqlQuery
-from .sql import QueryDescription
 from .functions import (
-    AssignmentMapping as AssignmentMapping,
     FunctionArtifactRequest as FunctionArtifactRequest,
     FunctionApplication as FunctionApplication,
     FunctionBinding as FunctionBinding,
@@ -53,19 +49,6 @@ from .namespace import (
 )
 
 
-if TYPE_CHECKING:
-    from lance.blob import BlobType as BlobType
-
-
-def __getattr__(name: str):
-    if name == "BlobType":
-        from .schema import BlobType
-
-        globals()["BlobType"] = BlobType
-        return BlobType
-    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
-
-
 def _check_s3_bucket_with_dots(
     uri: str, storage_options: Optional[Dict[str, str]]
 ) -> None:
@@ -105,7 +88,6 @@ def connect(
     api_key: Optional[str] = None,
     region: str = "us-east-1",
     host_override: Optional[str] = None,
-    sql_host_override: Optional[str] = None,
     read_consistency_interval: Optional[timedelta] = None,
     request_thread_pool: Optional[Union[int, ThreadPoolExecutor]] = None,
     client_config: Union[ClientConfig, Dict[str, Any], None] = None,
@@ -134,9 +116,6 @@ def connect(
         The region to use for LanceDB Cloud.
     host_override: str, optional
         The override url for LanceDB Cloud.
-    sql_host_override: str, optional
-        The remote SQL service endpoint override. The client connects lazily when SQL
-        is first executed and retains that connection.
     read_consistency_interval: timedelta, default None
         The interval at which to check for updates to the table from other
         processes. If None, then consistency is not checked. For performance
@@ -200,18 +179,6 @@ def connect(
     ...     },
     ... )
 
-    For Azure Blob Storage, credentials can be passed directly without setting
-    environment variables:
-
-    >>> azure_storage_options = {
-    ...     "account_name": "some-account",
-    ...     "account_key": "some-key",
-    ... }
-    >>> db = lancedb.connect(  # doctest: +SKIP
-    ...     "az://my-container/my-database",
-    ...     storage_options=azure_storage_options,
-    ... )
-
     For tests and temporary data, use an in-memory database:
 
     >>> db = lancedb.connect("memory://")
@@ -278,7 +245,6 @@ def connect(
             api_key,
             region,
             host_override,
-            sql_host_override=sql_host_override,
             # TODO: remove this (deprecation warning downstream)
             request_thread_pool=request_thread_pool,
             client_config=client_config,
@@ -421,7 +387,6 @@ def deserialize_conn(
             parsed["api_key"],
             parsed.get("region", "us-east-1"),
             host_override=parsed.get("host_override"),
-            sql_host_override=parsed.get("sql_host_override"),
             client_config=parsed.get("client_config"),
             storage_options=storage_options,
         )
@@ -435,7 +400,6 @@ async def connect_async(
     api_key: Optional[str] = None,
     region: str = "us-east-1",
     host_override: Optional[str] = None,
-    sql_host_override: Optional[str] = None,
     read_consistency_interval: Optional[timedelta] = None,
     client_config: Optional[Union[ClientConfig, Dict[str, Any]]] = None,
     storage_options: Optional[Dict[str, str]] = None,
@@ -458,9 +422,6 @@ async def connect_async(
         The region to use for LanceDB Cloud.
     host_override: str, optional
         The override url for LanceDB Cloud.
-    sql_host_override: str, optional
-        The remote SQL service endpoint override. The client connects lazily when SQL
-        is first executed and retains that connection.
     read_consistency_interval: timedelta, default None
         The interval at which to check for updates to the table from other
         processes. If None, then consistency is not checked. For performance
@@ -504,10 +465,6 @@ async def connect_async(
     --------
 
     >>> import lancedb
-    >>> azure_storage_options = {
-    ...     "account_name": "some-account",
-    ...     "account_key": "some-key",
-    ... }
     >>> async def doctest_example():
     ...     # For a local directory, provide a path to the database
     ...     db = await lancedb.connect_async("~/.lancedb")
@@ -515,11 +472,6 @@ async def connect_async(
     ...     db = await lancedb.connect_async("s3://my-bucket/lancedb",
     ...                                      storage_options={
     ...                                          "aws_access_key_id": "***"})
-    ...     # Azure credentials can also be passed directly
-    ...     db = await lancedb.connect_async(
-    ...         "az://my-container/my-database",
-    ...         storage_options=azure_storage_options,
-    ...     )
     ...     # For tests and temporary data, use an in-memory database
     ...     db = await lancedb.connect_async("memory://")
     ...     # Connect to LanceDB cloud
@@ -548,7 +500,6 @@ async def connect_async(
             api_key,
             region,
             host_override,
-            sql_host_override,
             read_consistency_interval_secs,
             client_config,
             storage_options,
@@ -571,7 +522,6 @@ __all__ = [
     "connect_namespace_async",
     "AsyncConnection",
     "AsyncJob",
-    "AsyncSqlQuery",
     "AsyncLanceNamespaceDBConnection",
     "AsyncTable",
     "FtsToken",
@@ -586,8 +536,6 @@ __all__ = [
     "vector",
     "DBConnection",
     "Job",
-    "QueryDescription",
-    "SqlQuery",
     "LanceDBConnection",
     "LanceNamespaceDBConnection",
     "LsmWriteSpec",

python/python/lancedb/_blob.py

@@ -12,7 +12,7 @@ from typing import TYPE_CHECKING, Optional, Union
 import pyarrow as pa
 
 from .expr import Expr
-from .schema import row_addressable_blob_v2_paths
+from .schema import blob_v2_column_paths
 from .types import BlobMode, QueryProjection, QueryProjectionSpec
 
 if TYPE_CHECKING:
@@ -119,7 +119,7 @@ def blob_v2_projection_sources(
     schema: pa.Schema,
     projection: QueryProjection,
 ) -> dict[str, str]:
-    blob_columns = row_addressable_blob_v2_paths(schema)
+    blob_columns = blob_v2_column_paths(schema)
     if not blob_columns:
         return {}
     columns = set(blob_columns)
@@ -140,9 +140,7 @@ def v2_projection_needs_row_id(
 ) -> bool:
     if with_row_id:
         return False
-    return projection_includes_blob_column(
-        projection, row_addressable_blob_v2_paths(schema)
-    )
+    return projection_includes_blob_column(projection, blob_v2_column_paths(schema))
 
 
 def blob_auto_row_id_for_scan(
@@ -272,8 +270,7 @@ def _iter_projection_pairs(
             if isinstance(expr, str):
                 yield name, expr
             elif isinstance(expr, Expr):
-                source = expr._column_name()
-                yield name, source if source is not None else expr.to_sql()
+                yield name, expr.to_sql()
         return
     for column in projection:
         if isinstance(column, str):
@@ -283,8 +280,7 @@ def _iter_projection_pairs(
             if isinstance(expr, str):
                 yield name, expr
             elif isinstance(expr, Expr):
-                source = expr._column_name()
-                yield name, source if source is not None else expr.to_sql()
+                yield name, expr.to_sql()
 
 
 def _set_blob_column(tbl: pa.Table, output_name: str, blobs: pa.Array) -> pa.Table:

python/python/lancedb/_lancedb.pyi

@@ -1,7 +1,6 @@
 from datetime import date, datetime, timedelta
 from decimal import Decimal
 from typing import Dict, List, Optional, Tuple, Any, TypedDict, Union, Literal
-from uuid import UUID
 
 import pyarrow as pa
 
@@ -88,7 +87,6 @@ class PyExpr:
     def contains(self, substr: "PyExpr") -> "PyExpr": ...
     def isin(self, values: List["PyExpr"]) -> "PyExpr": ...
     def cast(self, data_type: pa.DataType) -> "PyExpr": ...
-    def column_name(self) -> Optional[str]: ...
     def to_sql(self) -> str: ...
 
 def expr_col(name: str) -> PyExpr: ...
@@ -148,20 +146,15 @@ class Connection(object):
         start_after: Optional[str],
         limit: Optional[int],
     ) -> list[str]: ...  # Deprecated: Use list_tables instead
-    async def open_job(self, job_id: str) -> Job: ...
+    def job(self, job_id: str) -> Job: ...
     async def create_function_async(self, request_json: str) -> Job: ...
     async def get_function(self, name: str, version: str) -> str: ...
-    async def list_functions(self) -> List[str]: ...
-    async def drop_function(self, name: str, version: str) -> bool: ...
     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 execute_query_async(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> SqlQuery: ...
-    async def describe_query(self, query_id: UUID) -> QueryDescription: ...
+    async def job_history(
+        self, job_id: Optional[str] = None
+    ) -> List[pa.RecordBatch]: ...
     async def create_table(
         self,
         name: str,
@@ -240,20 +233,9 @@ class BlobFile:
 class Job:
     @property
     def id(self) -> Optional[str]: ...
-    @property
-    def _state(self) -> Optional[str]: ...
-    @property
-    def _description(self) -> Optional[JobDescription]: ...
     async def status(self) -> str: ...
     async def wait(self) -> Optional[str]: ...
     async def cancel(self) -> None: ...
-    async def refresh(self) -> None: ...
-    async def events(
-        self,
-        *,
-        limit: Optional[int] = None,
-        filter: Optional[str] = None,
-    ) -> pa.Table: ...
 
 class JobInfo:
     @property
@@ -285,33 +267,10 @@ class JobDescription:
     @property
     def creation_ms(self) -> int: ...
     @property
-    def _spec_json(self) -> Optional[str]: ...
-    @property
-    def _result_json(self) -> Optional[str]: ...
-    @property
-    def spec(self) -> Optional[Any]: ...
-    @property
-    def result(self) -> Optional[Any]: ...
+    def spec_json(self) -> Optional[str]: ...
     @property
     def failure(self) -> Optional[JobFailureInfo]: ...
 
-class SqlQuery:
-    @property
-    def id(self) -> UUID: ...
-    async def describe(self) -> QueryDescription: ...
-    async def reader(self) -> RecordBatchStream: ...
-    async def cancel(self) -> None: ...
-
-class QueryDescription:
-    @property
-    def id(self) -> UUID: ...
-    @property
-    def status(self) -> str: ...
-    @property
-    def progress(self) -> Optional[float]: ...
-    @property
-    def expires_at(self) -> Optional[datetime]: ...
-
 class Table:
     def name(self) -> str: ...
     def __repr__(self) -> str: ...
@@ -324,7 +283,6 @@ class Table:
         mode: Literal["append", "overwrite"],
         progress: Optional[Any] = None,
         write_parallelism: Optional[int] = None,
-        allow_external_blob_outside_bases: bool = False,
     ) -> AddResult: ...
     async def update(
         self, updates: Dict[str, str], where: Optional[str]
@@ -490,7 +448,6 @@ async def connect(
     api_key: Optional[str],
     region: Optional[str],
     host_override: Optional[str],
-    sql_host_override: Optional[str],
     read_consistency_interval: Optional[float],
     client_config: Optional[Union[ClientConfig, Dict[str, Any]]],
     storage_options: Optional[Dict[str, str]],
@@ -647,11 +604,9 @@ class FullTextQuery:
 class PyQueryRequest:
     limit: Optional[int]
     offset: Optional[int]
-    take_offsets: Optional[List[int]]
     filter: Optional[Union[str, bytes]]
     full_text_search: Optional[FullTextQuery]
     select: Optional[Union[str, List[str]]]
-    select_source_columns: Optional[Dict[str, str]]
     fast_search: Optional[bool]
     with_row_id: Optional[bool]
     use_lsm: Optional[bool]

python/python/lancedb/db.py

@@ -19,7 +19,6 @@ from typing import (
     Optional,
     Union,
 )
-from uuid import UUID
 
 if sys.version_info >= (3, 12):
     from typing import override
@@ -48,9 +47,6 @@ from . import __version__
 from ._lancedb import connect as lancedb_connect  # type: ignore
 from .functions import FunctionVersion, UdfDefinition
 from .job import AsyncJob, Job, _typed_job
-from .sql import AsyncQuery as AsyncSqlQuery
-from .sql import Query as SqlQuery
-from .sql import QueryDescription
 from .materialized_view import (
     AsyncMaterializedView,
     MaterializedView,
@@ -72,11 +68,10 @@ import deprecation
 
 if TYPE_CHECKING:
     import pyarrow as pa
-    from .arrow import AsyncRecordBatchReader
     from .pydantic import LanceModel
 
     from ._lancedb import Connection as LanceDbConnection
-    from ._lancedb import JobInfo
+    from ._lancedb import JobDescription, JobInfo
     from .common import DATA, URI
     from .embeddings import EmbeddingFunctionConfig
     from ._lancedb import Session
@@ -717,51 +712,26 @@ class DBConnection(EnforceOverrides):
             "Function catalog operations are not supported for this connection type"
         )
 
-    def list_functions(self) -> List[FunctionVersion]:
-        """List every published immutable Function version.
+    def job(self, job_id: str) -> Job:
+        """A [Job][lancedb.job.Job] handle for a server-side job by id.
 
-        Results are ordered by Function name then version. Local connections
-        raise ``NotImplementedError``.
-
-        Examples
-        --------
-        List the identities available to use in Function-backed columns:
-
-        ```python
-        [(function.name, function.version) for function in db.list_functions()]
-        ```
+        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(
-            "Function catalog operations are not supported for this connection type"
-        )
-
-    def drop_function(self, name: str, *, version: str) -> bool:
-        """Drop one exact immutable Function version from the remote catalog.
-
-        Returns True when the version changed to Dropped and False for an
-        idempotent replay. Local connections raise NotImplementedError.
-        """
-        raise NotImplementedError(
-            "Function catalog operations are not supported for this connection type"
-        )
-
-    def open_job(self, job_id: str) -> Job:
-        """Open a server-side job by id, returning a handle with its record
-        already populated.
-
-        The returned [Job][lancedb.job.Job] answers for its own state,
-        specification, result, failure and event history, so there is no
-        separate connection-level call for any of them.
-
-        Raises `JobNotFoundError` when the server has no such job, the way
-        `open_table` does for a missing table.
-        """
-        raise NotImplementedError("open_job is not supported for this connection type")
+        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.
 
@@ -773,38 +743,14 @@ class DBConnection(EnforceOverrides):
             "cancel_job is not supported for this connection type"
         )
 
-    def execute_query(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> pa.RecordBatchReader:
-        """Execute SQL and return a blocking Arrow reader.
+    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
+        """The lifecycle event history of a server-side job, as Arrow batches.
 
-        This submits through :meth:`execute_query_async` and waits until the
-        initial result stream is readable. It does not wait for the full query
-        to finish.
+        Lists history across all jobs when `job_id` is None.
         """
-        return self.execute_query_async(
-            query,
-            default_namespace_path=default_namespace_path,
-        ).reader()
-
-    def execute_query_async(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> SqlQuery:
-        """Start executing SQL and return its query handle.
-
-        Local connections do not support SQL.
-        """
-        raise NotImplementedError("SQL is not supported for this connection type")
-
-    def describe_query(self, query_id: UUID) -> QueryDescription:
-        """Describe a submitted SQL query by its connection-scoped id."""
-        raise NotImplementedError("SQL is not supported for this connection type")
+        raise NotImplementedError(
+            "job_history is not supported for this connection type"
+        )
 
 
 class LanceDBConnection(DBConnection):
@@ -901,7 +847,6 @@ class LanceDBConnection(DBConnection):
                 None,
                 None,
                 None,
-                None,
                 read_consistency_interval_secs,
                 None,
                 storage_options,
@@ -1450,11 +1395,14 @@ class LanceDBConnection(DBConnection):
         )
 
     @override
-    def open_job(self, job_id: str) -> Job:
-        """Open a server-side job by id. See
-        [DBConnection.open_job][lancedb.db.DBConnection.open_job].
+    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(LOOP.run(self._conn.open_job(job_id)))
+        return Job(self._conn.job(job_id))
 
     @override
     def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
@@ -1465,19 +1413,19 @@ class LanceDBConnection(DBConnection):
     def get_function(self, name: str, *, version: str) -> FunctionVersion:
         return LOOP.run(self._conn.get_function(name, version=version))
 
-    @override
-    def list_functions(self) -> List[FunctionVersion]:
-        return LOOP.run(self._conn.list_functions())
-
-    @override
-    def drop_function(self, name: str, *, version: str) -> bool:
-        return LOOP.run(self._conn.drop_function(name, version=version))
-
     @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.
@@ -1488,6 +1436,14 @@ class LanceDBConnection(DBConnection):
         """
         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.
@@ -2258,11 +2214,15 @@ class AsyncConnection(object):
             namespace_path = []
         await self._inner.drop_all_tables(namespace_path=namespace_path)
 
-    async def open_job(self, job_id: str) -> AsyncJob:
-        """Open a server-side job by id. See
-        [DBConnection.open_job][lancedb.db.DBConnection.open_job].
+    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(await self._inner.open_job(job_id))
+        return AsyncJob(self._inner.job(job_id))
 
     async def create_function_async(
         self, definition: UdfDefinition
@@ -2283,25 +2243,17 @@ class AsyncConnection(object):
         """Open one exact immutable Function version from the remote catalog."""
         return FunctionVersion.from_json(await self._inner.get_function(name, version))
 
-    async def list_functions(self) -> List[FunctionVersion]:
-        """List every published immutable Function version.
-
-        Results are ordered by Function name then version. Local connections
-        raise ``NotImplementedError``.
-        """
-        return [
-            FunctionVersion.from_json(value)
-            for value in await self._inner.list_functions()
-        ]
-
-    async def drop_function(self, name: str, *, version: str) -> bool:
-        """Drop one exact immutable Function version from the remote catalog."""
-        return await self._inner.drop_function(name, version)
-
     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.
 
@@ -2311,46 +2263,12 @@ class AsyncConnection(object):
         """
         return await self._inner.cancel_job(job_id)
 
-    async def execute_query(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> AsyncRecordBatchReader:
-        """Execute SQL and return an asynchronous Arrow reader.
+    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.
 
-        This submits through :meth:`execute_query_async` and waits until the
-        initial result stream is readable. It does not wait for the full query
-        to finish.
+        Lists history across all jobs when `job_id` is None.
         """
-        submitted = await self.execute_query_async(
-            query,
-            default_namespace_path=default_namespace_path,
-        )
-        return await submitted.reader()
-
-    async def execute_query_async(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> AsyncSqlQuery:
-        """Start executing SQL and return its query handle.
-
-        The database from ``connect_async`` is used for unqualified database
-        references. The namespace defaults to ``["public"]``. Local
-        connections raise ``NotImplementedError``.
-        """
-        return AsyncSqlQuery(
-            await self._inner.execute_query_async(
-                query,
-                default_namespace_path=default_namespace_path,
-            )
-        )
-
-    async def describe_query(self, query_id: UUID) -> QueryDescription:
-        """Describe a submitted SQL query by its connection-scoped id."""
-        return await self._inner.describe_query(query_id)
+        return await self._inner.job_history(job_id)
 
     async def namespace_client(self) -> LanceNamespace:
         """Get the equivalent namespace client for this connection.

python/python/lancedb/exceptions.py

@@ -35,9 +35,3 @@ class JobCancelledError(RuntimeError):
     """Exception raised when an asynchronous job was cancelled."""
 
     pass
-
-
-class JobNotFoundError(ValueError):
-    """Exception raised when opening a job the server does not have."""
-
-    pass

python/python/lancedb/expr.py

@@ -249,10 +249,6 @@ class Expr:
 
     # ── utilities ────────────────────────────────────────────────────────────
 
-    def _column_name(self) -> str | None:
-        """Return the source name when this is a bare column expression."""
-        return self._inner.column_name()
-
     def to_sql(self) -> str:
         """Render the expression as a SQL string (useful for debugging)."""
         return self._inner.to_sql()
@@ -316,7 +312,7 @@ def func(name: str, *args: ExprLike) -> Expr:
     --------
     >>> from lancedb.expr import col, func
     >>> func("lower", col("name"))
-    Expr(lower(`name`))
+    Expr(lower(name))
     """
     inner_args = [_coerce(a)._inner for a in args]
     return Expr(expr_func(name, inner_args))

python/python/lancedb/functions.py

@@ -4,7 +4,7 @@
 """Canonical Function values exchanged with LanceDB Enterprise services.
 
 These immutable models contain client/wire state only. Catalog persistence,
-environment bake, and execution are owned by Sophon.
+environment bake, secret resolution, and execution are owned by Sophon.
 ``RefreshColumnResult`` is also the backend-neutral result of a local
 expression-backed refresh job.
 """
@@ -12,19 +12,17 @@ expression-backed refresh job.
 from __future__ import annotations
 
 import ast
-import builtins
 import base64
 import functools
 import hashlib
-import importlib
 import inspect
-import symtable
 import json
 import math
 import re
 import sys
 import textwrap
 import types
+import uuid
 from collections.abc import Mapping
 from datetime import date, datetime
 from typing import (
@@ -49,25 +47,11 @@ from pydantic import (
     model_validator,
 )
 
-from .schema import is_blob_v2_field as _is_blob_v2_field
-
 _Int32 = conint(strict=True, ge=-(2**31), le=2**31 - 1)
 _UInt32 = conint(strict=True, ge=0, le=2**32 - 1)
 _UInt64 = conint(strict=True, ge=0, le=2**64 - 1)
 
 
-def _validate_gpu_wire_marker(value: Any) -> bool:
-    if value is not True:
-        raise ValueError("runtime.gpu must be true")
-    return True
-
-
-def _normalize_gpu_marker(value: bool) -> Optional[bool]:
-    if not isinstance(value, bool):
-        raise ValueError("gpu must be a boolean")
-    return True if value else None
-
-
 class _FrozenDict(dict):
     def _immutable(self, *args, **kwargs):
         raise TypeError("remote canonical values are immutable")
@@ -236,14 +220,13 @@ class PythonEnvironmentSpec(_RemoteValue):
 
     kind: str
     packages: tuple[str, ...] = ()
-    channels: tuple[str, ...] = ()
     path: Optional[str] = None
     modules: tuple[str, ...] = ()
     image: Optional[str] = None
 
 
 class PythonRuntimeSpec(_RemoteValue):
-    """Remote runtime definition with environment values.
+    """Remote runtime definition with non-secret environment values.
 
     V1 supports ``kind="python"``. Newer runtime kinds remain readable, while
     their unknown payload fields are intentionally not retained by the client.
@@ -253,23 +236,6 @@ class PythonRuntimeSpec(_RemoteValue):
     python_version: Optional[str] = None
     environment: Optional[PythonEnvironmentSpec] = None
     env: Optional[Mapping[str, str]] = None
-    gpu: Optional[bool] = None
-
-    @model_validator(mode="before")
-    @classmethod
-    def _discard_unknown_runtime_payload(cls, value):
-        if isinstance(value, Mapping):
-            kind = value.get("kind")
-            if isinstance(kind, str) and kind not in {"python", "python_v2"}:
-                return {"kind": kind}
-        return value
-
-    @field_validator("gpu", mode="before")
-    @classmethod
-    def _validate_gpu_marker(cls, value):
-        if value is None:
-            return None
-        return _validate_gpu_wire_marker(value)
 
     @model_validator(mode="after")
     def _validate_runtime_kind(self):
@@ -278,28 +244,18 @@ class PythonRuntimeSpec(_RemoteValue):
                 raise ValueError("python runtime requires python_version")
             if self.environment is None:
                 raise ValueError("python runtime requires environment")
-            if self.gpu is not None:
-                raise ValueError("python runtime with gpu requires kind='python_v2'")
-        elif self.kind == "python_v2":
-            if self.python_version is None:
-                raise ValueError("python_v2 runtime requires python_version")
-            if self.environment is None:
-                raise ValueError("python_v2 runtime requires environment")
-            if self.gpu is None:
-                raise ValueError("python_v2 runtime requires gpu")
         else:
             object.__setattr__(self, "python_version", None)
             object.__setattr__(self, "environment", None)
             object.__setattr__(self, "env", None)
-            object.__setattr__(self, "gpu", None)
         return self
 
 
 class FunctionVersion(_RemoteValue):
     """An exact immutable Function version returned by Enterprise.
 
-    The GPU execution requirement is part of this identity. CPU and memory sizing,
-    priority, concurrency, and retry policy belong to the execution platform.
+    Scheduling resources, priority, concurrency, and retry policy belong to
+    the submitting Job and are not part of this identity.
     """
 
     name: str
@@ -309,6 +265,7 @@ class FunctionVersion(_RemoteValue):
     runtime: PythonRuntimeSpec
     runtime_digest: str
     environment_digest: str
+    required_secrets: tuple[str, ...] = ()
     created_at: str
 
     def __call__(self, **inputs: Any) -> FunctionApplication:
@@ -316,7 +273,7 @@ class FunctionVersion(_RemoteValue):
 
         Every input must be a direct [lancedb.col][lancedb.expr.col]
         reference. The returned application is immutable and retains a
-        named-struct output as one binding, so every row's sibling values
+        named-struct output as one sibling group, so every row's sibling values
         come from one logical Function evaluation. Map result fields to table
         columns with
         [FunctionApplication.rename][lancedb.functions.FunctionApplication.rename],
@@ -366,16 +323,22 @@ class FunctionVersion(_RemoteValue):
             function=FunctionVersionRef(name=self.name, version=self.version),
             inputs=tuple(bindings),
             output=self.signature.output,
+            group_id=f"fg_{uuid.uuid4().hex}",
         )
 
 
 class FunctionRegistrationRequest(_RemoteValue):
-    """Stable remote registration envelope produced by :func:`udf`."""
+    """Stable remote registration envelope produced by :func:`udf`.
+
+    Only secret names are represented. Secret values are resolved inside the
+    remote service and have no client request field.
+    """
 
     name: str
     artifact: FunctionArtifactRequest
     signature: FunctionSignature
     runtime: PythonRuntimeSpec
+    required_secrets: tuple[str, ...] = ()
 
 
 class FunctionVersionRef(_OpenRemoteValue):
@@ -404,7 +367,7 @@ class ApplicationInput(_OpenRemoteValue):
 class FunctionApplication(_OpenRemoteValue):
     """Immutable pre-declaration application of an exact Function version.
 
-    A named-struct output remains one application through table
+    A named-struct output remains one grouped application through table
     declaration and execution.
     [FunctionApplication.rename][lancedb.functions.FunctionApplication.rename]
     records the result-field to table-column mapping without splitting sibling
@@ -414,6 +377,7 @@ class FunctionApplication(_OpenRemoteValue):
     function: FunctionVersionRef
     inputs: tuple[ApplicationInput, ...]
     output: FunctionOutput
+    group_id: str
     columns: Mapping[str, str] = Field(default_factory=dict)
 
     def _known_dict(self) -> dict[str, Any]:
@@ -470,7 +434,11 @@ class InputBinding(_RemoteValue):
 
 
 class OutputMapping(_RemoteValue):
-    """One stable result-field mapping."""
+    """One stable result-field mapping.
+
+    Assignment state is outside the Slice 1 client contract. During the NULL
+    transition Lance exposes no public cell-flag identifier to persist here.
+    """
 
     result_field: str
     output_name: str
@@ -480,21 +448,15 @@ class OutputMapping(_RemoteValue):
     nullable: bool
 
 
-class AssignmentMapping(_RemoteValue):
-    """Internal physical column preserving flattened struct validity."""
-
-    output_name: str
-    output_field_id: _Int32
-
-
 class FunctionBinding(_RemoteValue):
-    """Immutable Function binding persisted by the Enterprise table service."""
+    """Immutable grouped binding persisted by the Enterprise table service."""
 
     binding_id: str
+    revision: _UInt64
     function: FunctionVersionRef
+    group_id: str
     inputs: tuple[InputBinding, ...]
     outputs: tuple[OutputMapping, ...]
-    assignment: Optional[AssignmentMapping] = None
     input_schema: Optional[Mapping[str, Any]] = None
     output_schema: Optional[Mapping[str, Any]] = None
 
@@ -524,295 +486,62 @@ class RefreshColumnResult(_RemoteValue):
 
 
 _FUNCTION_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_.-]*$")
-_FUNCTION_BLOB_V2_TYPE = "blob_v2"
-_ARROW_EXTENSION_NAME_KEY = "ARROW:extension:name"
-_BLOB_V2_EXTENSION_NAME = "lance.blob.v2"
-_NESTED_BLOB_COLLECTION_ERROR = (
-    "unsupported Arrow type for Function signature: Blob v2 fields nested under "
-    "collection types are not supported"
-)
-
-
-_GRAMMAR_PRIMITIVES = (
-    (pa.bool_(), "bool"),
-    (pa.int8(), "int8"),
-    (pa.int16(), "int16"),
-    (pa.int32(), "int32"),
-    (pa.int64(), "int64"),
-    (pa.uint8(), "uint8"),
-    (pa.uint16(), "uint16"),
-    (pa.uint32(), "uint32"),
-    (pa.uint64(), "uint64"),
-    (pa.float16(), "float16"),
-    (pa.float32(), "float32"),
-    (pa.float64(), "float64"),
-    (pa.string(), "utf8"),
-    (pa.large_string(), "large_utf8"),
-    (pa.binary(), "binary"),
-    (pa.date32(), "date32"),
-    (pa.date64(), "date64"),
-)
+_SECRET_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_]*$")
 
 
 def _canonical_arrow_type(data_type: pa.DataType) -> str:
-    """The compact Function grammar, or canonical exact JSON for nested types."""
-    grammar = _grammar_arrow_type(data_type)
-    if grammar is not None:
-        return grammar
-    exact = _exact_arrow_type(data_type)
-    return json.dumps(exact, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
-
-
-def _grammar_arrow_type(data_type: pa.DataType) -> Optional[str]:
-    for candidate, name in _GRAMMAR_PRIMITIVES:
+    primitive_types = (
+        (pa.bool_(), "bool"),
+        (pa.int8(), "int8"),
+        (pa.int16(), "int16"),
+        (pa.int32(), "int32"),
+        (pa.int64(), "int64"),
+        (pa.uint8(), "uint8"),
+        (pa.uint16(), "uint16"),
+        (pa.uint32(), "uint32"),
+        (pa.uint64(), "uint64"),
+        (pa.float16(), "float16"),
+        (pa.float32(), "float32"),
+        (pa.float64(), "float64"),
+        (pa.string(), "utf8"),
+        (pa.large_utf8(), "large_utf8"),
+        (pa.binary(), "binary"),
+        (pa.large_binary(), "large_binary"),
+        (pa.date32(), "date32"),
+        (pa.date64(), "date64"),
+    )
+    for candidate, name in primitive_types:
         if data_type == candidate:
             return name
-    if pa.types.is_list(data_type) or pa.types.is_large_list(data_type):
-        item = _grammar_list_item(data_type)
-        if item is None:
-            return None
-        prefix = "list" if pa.types.is_list(data_type) else "large_list"
-        return f"{prefix}<{item}>"
-    if pa.types.is_fixed_size_list(data_type) and data_type.list_size > 0:
-        item = _grammar_list_item(data_type)
-        if item is not None:
-            return f"fixed_size_list<{item}, {data_type.list_size}>"
-    return None
-
-
-def _grammar_list_item(data_type: pa.DataType) -> Optional[str]:
-    """The grammar names only the item type; it always means a non-nullable
-    child called `item`, so other child properties require exact JSON."""
-    child = data_type.value_field
-    if child.name != "item" or child.nullable or child.metadata:
-        return None
-    return _grammar_arrow_type(child.type)
-
-
-def _validate_exact_arrow_field(field: pa.Field) -> None:
-    if not field.name:
-        raise TypeError(
-            "unsupported Arrow type for Function signature: field names "
-            "must not be empty"
+    if pa.types.is_fixed_size_binary(data_type):
+        return f"fixed_size_binary[{data_type.byte_width}]"
+    if pa.types.is_list(data_type):
+        return f"list<{_canonical_arrow_type(data_type.value_type)}>"
+    if pa.types.is_large_list(data_type):
+        return f"large_list<{_canonical_arrow_type(data_type.value_type)}>"
+    if pa.types.is_fixed_size_list(data_type):
+        return (
+            f"fixed_size_list<{_canonical_arrow_type(data_type.value_type)}>"
+            f"[{data_type.list_size}]"
         )
-    if _is_blob_v2_field(field):
-        if not _has_supported_blob_v2_layout(field):
-            raise TypeError(
-                "unsupported Arrow type for Function signature: lance.blob.v2 "
-                f"requires a supported Blob storage layout, got {field}"
-            )
-        metadata = {
-            (key.decode() if isinstance(key, bytes) else key): (
-                value.decode() if isinstance(value, bytes) else value
-            )
-            for key, value in (field.metadata or {}).items()
-        }
-        if metadata and metadata != {
-            _ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME
-        }:
-            raise TypeError(
-                "unsupported Arrow type for Function signature: lance.blob.v2 "
-                "field metadata must contain only its canonical extension marker"
-            )
-    elif field.metadata:
-        raise TypeError(
-            "unsupported Arrow type for Function signature: field metadata "
-            f"is not supported, got {field}"
-        )
-
-
-def _has_supported_blob_v2_layout(field: pa.Field) -> bool:
-    data_type = field.type
-    if isinstance(data_type, pa.ExtensionType):
-        data_type = data_type.storage_type
-    if not pa.types.is_struct(data_type):
-        return False
-
-    fields = tuple(data_type)
-
-    def matches(spec, compare_nullable) -> bool:
-        return len(fields) == len(spec) and all(
-            actual.name == name
-            and actual.type == expected_type
-            and (not check_nullable or actual.nullable == nullable)
-            for actual, (name, expected_type, nullable), check_nullable in zip(
-                fields, spec, compare_nullable
-            )
-        )
-
-    logical_minimal = (
-        ("data", pa.large_binary(), True),
-        ("uri", pa.utf8(), True),
-    )
-    logical_full = logical_minimal + (
-        ("position", pa.uint64(), True),
-        ("size", pa.uint64(), True),
-    )
-    prepared = (
-        ("kind", pa.uint8(), True),
-        ("data", pa.large_binary(), True),
-        ("uri", pa.utf8(), True),
-        ("blob_id", pa.uint32(), True),
-        ("blob_size", pa.uint64(), True),
-        ("position", pa.uint64(), True),
-    )
-    descriptor = (
-        ("kind", pa.uint8(), False),
-        ("position", pa.uint64(), False),
-        ("size", pa.uint64(), False),
-        ("blob_id", pa.uint32(), False),
-        ("blob_uri", pa.utf8(), False),
-    )
-    return (
-        matches(logical_minimal, (True, True))
-        or matches(logical_full, (True, True, False, False))
-        or matches(prepared, (True,) * len(prepared))
-        or matches(descriptor, (False,) * len(descriptor))
-    )
-
-
-def _canonical_arrow_field(field: pa.Field) -> str:
-    _validate_exact_arrow_field(field)
-    if _is_blob_v2_field(field):
-        return _FUNCTION_BLOB_V2_TYPE
-    return _canonical_arrow_type(field.type)
-
-
-def _blob_storage_type(field: pa.Field) -> pa.DataType:
-    data_type = field.type
-    if isinstance(data_type, pa.ExtensionType):
-        return data_type.storage_type
-    return data_type
-
-
-def _exact_blob_storage_type(field: pa.Field) -> dict[str, Any]:
-    storage = _blob_storage_type(field)
-    if not pa.types.is_struct(storage):
-        raise TypeError(
-            "unsupported Arrow type for Function signature: lance.blob.v2 "
-            "requires struct storage"
-        )
-    return {
-        "type": "struct",
-        "fields": [
-            {
-                "name": child.name,
-                "nullable": child.nullable,
-                "type": (
-                    {"type": "large_binary"}
-                    if pa.types.is_large_binary(child.type)
-                    else _exact_arrow_type(child.type)
-                ),
-            }
-            for child in storage
-        ],
-    }
-
-
-def _data_type_has_blob_v2(data_type: pa.DataType) -> bool:
     if pa.types.is_struct(data_type):
-        return any(
-            _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-            for field in data_type
+        fields = ",".join(
+            f"{field.name}:{_canonical_arrow_type(field.type)}" for field in data_type
         )
-    if (
-        pa.types.is_list(data_type)
-        or pa.types.is_large_list(data_type)
-        or pa.types.is_fixed_size_list(data_type)
-    ):
-        field = data_type.value_field
-        return _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-    if pa.types.is_map(data_type):
-        return any(
-            _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-            for field in (data_type.key_field, data_type.item_field)
-        )
-    return False
-
-
-def _exact_arrow_field(
-    field: pa.Field, *, inside_collection: bool = False
-) -> dict[str, Any]:
-    _validate_exact_arrow_field(field)
-    if _is_blob_v2_field(field):
-        if inside_collection:
-            raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
-        return {
-            "name": field.name,
-            "nullable": field.nullable,
-            "type": _exact_blob_storage_type(field),
-            "metadata": {
-                _ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME,
-            },
-        }
-    value = {
-        "name": field.name,
-        "nullable": field.nullable,
-        "type": _exact_arrow_type(field.type, inside_collection=inside_collection),
-    }
-    return value
-
-
-def _exact_arrow_type(
-    data_type: pa.DataType, *, inside_collection: bool = False
-) -> dict[str, Any]:
-    for candidate, name in _GRAMMAR_PRIMITIVES:
-        if data_type == candidate:
-            return {"type": name}
-    if pa.types.is_struct(data_type):
-        fields = list(data_type)
-        names = [field.name for field in fields]
-        if not fields or len(set(names)) != len(names):
-            raise TypeError(
-                "unsupported Arrow type for Function signature: structs must have "
-                "non-empty, uniquely named fields"
-            )
-        return {
-            "type": "struct",
-            "fields": [
-                _exact_arrow_field(field, inside_collection=inside_collection)
-                for field in fields
-            ],
-        }
-    if (
-        pa.types.is_list(data_type)
-        or pa.types.is_large_list(data_type)
-        or pa.types.is_fixed_size_list(data_type)
-    ):
-        if pa.types.is_fixed_size_list(data_type):
-            if data_type.value_field.name != "item":
-                raise TypeError(
-                    "unsupported Arrow type for Function signature: fixed-size list "
-                    "items must be named 'item'"
-                )
-            if data_type.list_size <= 0:
-                raise TypeError(
-                    f"unsupported Arrow type for Function signature: {data_type}"
-                )
-        value: dict[str, Any] = {
-            "type": (
-                "list"
-                if pa.types.is_list(data_type)
-                else "large_list"
-                if pa.types.is_large_list(data_type)
-                else "fixed_size_list"
-            ),
-            "fields": [
-                _exact_arrow_field(data_type.value_field, inside_collection=True)
-            ],
-        }
-        if pa.types.is_fixed_size_list(data_type):
-            value["length"] = data_type.list_size
-        return value
-    if pa.types.is_map(data_type) and _data_type_has_blob_v2(data_type):
-        raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
+        return f"struct<{fields}>"
+    if pa.types.is_timestamp(data_type):
+        timezone = f",tz={data_type.tz}" if data_type.tz is not None else ""
+        return f"timestamp[{data_type.unit}{timezone}]"
+    if pa.types.is_time32(data_type) or pa.types.is_time64(data_type):
+        return f"time[{data_type.unit}]"
+    if pa.types.is_duration(data_type):
+        return f"duration[{data_type.unit}]"
+    if pa.types.is_decimal(data_type):
+        bit_width = data_type.bit_width
+        return f"decimal{bit_width}({data_type.precision},{data_type.scale})"
     raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")
 
 
-def _list_of(item: pa.DataType) -> pa.DataType:
-    return pa.list_(pa.field("item", item, nullable=False))
-
-
 def _annotation_type(annotation: Any) -> tuple[pa.DataType, bool]:
     nullable = False
     origin = get_origin(annotation)
@@ -860,7 +589,7 @@ def _annotation_type(annotation: Any) -> tuple[pa.DataType, bool]:
         value_type, value_nullable = _annotation_type(arguments[0])
         if value_nullable:
             raise TypeError("nullable Function list elements are not supported")
-        return _list_of(value_type), nullable
+        return pa.list_(value_type), nullable
     raise TypeError(f"unsupported Function annotation: {annotation!r}")
 
 
@@ -880,15 +609,8 @@ def _callable_parameters(function: Callable[..., Any]) -> tuple[inspect.Paramete
 
 def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutput:
     if isinstance(output, pa.Schema):
-        if output.metadata:
-            raise TypeError("Function output schema metadata is not supported")
         fields = tuple(output)
-    elif (
-        isinstance(output, pa.Field)
-        and not _is_blob_v2_field(output)
-        and pa.types.is_struct(output.type)
-    ):
-        _validate_exact_arrow_field(output)
+    elif isinstance(output, pa.Field) and pa.types.is_struct(output.type):
         if output.nullable:
             raise ValueError("Function output must be non-nullable")
         fields = tuple(output.type)
@@ -904,19 +626,18 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
             raise TypeError(
                 "output_schema must be a PyArrow DataType, Field, or Schema"
             )
-        _validate_exact_arrow_field(field)
         if field.nullable:
             raise ValueError("Function output must be non-nullable")
         return FunctionOutput(
             kind="scalar",
-            arrow_type=_canonical_arrow_field(field),
+            arrow_type=_canonical_arrow_type(field.type),
             nullable=False,
         )
 
     if not fields:
         raise ValueError("named-struct Function output must contain at least one field")
-    for field in fields:
-        _validate_exact_arrow_field(field)
+    if any(field.nullable for field in fields):
+        raise ValueError("Function output fields must be non-nullable")
     names = [field.name for field in fields]
     if len(set(names)) != len(names):
         raise ValueError("Function output field names must be unique")
@@ -925,8 +646,8 @@ def _function_output(output: pa.DataType | pa.Field | pa.Schema) -> FunctionOutp
         fields=tuple(
             FunctionResultField(
                 name=field.name,
-                arrow_type=_canonical_arrow_field(field),
-                nullable=field.nullable,
+                arrow_type=_canonical_arrow_type(field.type),
+                nullable=False,
             )
             for field in fields
         ),
@@ -945,10 +666,6 @@ def _infer_signature(
     if input_schema is not None:
         if not isinstance(input_schema, pa.Schema):
             raise TypeError("input_schema must be a PyArrow Schema")
-        if input_schema.metadata:
-            raise TypeError("Function input schema metadata is not supported")
-        for field in input_schema:
-            _validate_exact_arrow_field(field)
         expected = tuple(parameter.name for parameter in parameters)
         actual = tuple(input_schema.names)
         if actual != expected:
@@ -959,7 +676,7 @@ def _infer_signature(
         inputs = tuple(
             FunctionParameter(
                 name=field.name,
-                arrow_type=_canonical_arrow_field(field),
+                arrow_type=_canonical_arrow_type(field.type),
                 nullable=field.nullable,
             )
             for field in input_schema
@@ -982,9 +699,7 @@ def _infer_signature(
         inputs.append(
             FunctionParameter(
                 name=parameter.name,
-                arrow_type=_canonical_arrow_field(
-                    pa.field(parameter.name, data_type, nullable=nullable)
-                ),
+                arrow_type=_canonical_arrow_type(data_type),
                 nullable=nullable,
             )
         )
@@ -1021,104 +736,6 @@ def _literal_source(value: Any) -> str:
     )
 
 
-_DYNAMIC_NAMESPACE_ACCESS = frozenset(
-    {"globals", "locals", "vars", "eval", "exec", "compile", "__import__"}
-)
-# Modules that hand out namespaces (`sys.modules`, `builtins`, importers,
-# introspection). The artifact's module namespace holds only the names it was
-# packaged with, so reaching around it cannot be represented.
-_NAMESPACE_MODULES = frozenset(
-    {"sys", "builtins", "importlib", "inspect", "gc", "ctypes", "types"}
-)
-
-
-def _namespace_acquisition(
-    definition: ast.FunctionDef, references: set[str]
-) -> list[str]:
-    found = set(references & _DYNAMIC_NAMESPACE_ACCESS)
-    for node in ast.walk(definition):
-        if isinstance(node, ast.Import):
-            found.update(
-                alias.name
-                for alias in node.names
-                if alias.name.split(".")[0] in _NAMESPACE_MODULES
-            )
-        elif isinstance(node, ast.ImportFrom) and node.module:
-            if node.module.split(".")[0] in _NAMESPACE_MODULES:
-                found.add(node.module)
-    return sorted(found)
-
-
-def _module_references(module_source: str) -> set[str]:
-    """Names any scope in `module_source` binds or loads at module scope.
-    Python's own scope analysis on the exact text that ships: free variables
-    belong to an enclosing scope inside the function, and postponed
-    annotations are not runtime loads."""
-
-    def visit(table: symtable.SymbolTable, found: set[str]) -> None:
-        for symbol in table.get_symbols():
-            if symbol.is_global() and (
-                symbol.is_referenced() or symbol.is_declared_global()
-            ):
-                found.add(symbol.get_name())
-        for child in table.get_children():
-            visit(child, found)
-
-    found: set[str] = set()
-    for table in symtable.symtable(module_source, "<udf>", "exec").get_children():
-        visit(table, found)
-    return found
-
-
-def _global_source(name: str, value: Any) -> str:
-    """One module-level line that rebinds `name` to `value` in the artifact:
-    an import for modules and importable classes/functions, a literal otherwise."""
-    if isinstance(value, types.ModuleType):
-        if value.__name__.split(".")[0] in _NAMESPACE_MODULES:
-            raise ValueError(
-                f"@udf cannot package dynamic namespace access: {value.__name__!r}"
-            )
-        try:
-            imported = importlib.import_module(value.__name__)
-        except ImportError:
-            imported = None
-        if imported is not value:
-            raise TypeError(
-                f"Function source references module {name!r} that does not import "
-                f"as {value.__name__!r}"
-            )
-        return f"import {value.__name__} as {name}"
-    module_name = getattr(value, "__module__", None)
-    qualname = getattr(value, "__qualname__", None)
-    if (
-        isinstance(module_name, str)
-        and isinstance(qualname, str)
-        and module_name != "__main__"
-        and "." not in qualname
-        and "<" not in qualname
-    ):
-        try:
-            imported = getattr(importlib.import_module(module_name), qualname)
-        except (ImportError, AttributeError):
-            imported = None
-        if imported is value:
-            return f"from {module_name} import {qualname} as {name}"
-    return f"{name} = {_literal_source(value)}"
-
-
-def _is_recursive_reference(function: Callable[..., Any], name: str) -> bool:
-    """`name` inside the body means the function itself unless the module has
-    since bound it to something else."""
-    if name != function.__name__:
-        return False
-    bound = function.__globals__.get(name, function)
-    if bound is function:
-        return True
-    # The decorator's own result is the one wrapper known to call `function`
-    # unchanged; any other binding may behave differently from a self-call.
-    return type(bound) is UdfDefinition and bound._function is function
-
-
 def _package_source(function: Callable[..., Any]) -> bytes:
     if not inspect.isfunction(function) or inspect.iscoroutinefunction(function):
         raise TypeError("@udf requires a synchronous Python function")
@@ -1143,46 +760,23 @@ def _package_source(function: Callable[..., Any]) -> bytes:
     closure = inspect.getclosurevars(function)
     if closure.nonlocals:
         raise ValueError("@udf cannot package functions that capture closure values")
-    function_source = ast.unparse(definition)
-    module_header = "from __future__ import annotations"
-    references = _module_references(f"{module_header}\n\n{function_source}\n")
-    dynamic = _namespace_acquisition(definition, references)
-    if dynamic:
-        raise ValueError(f"@udf cannot package dynamic namespace access: {dynamic!r}")
-    # Resolve every module-scope reference the way the interpreter would: the
-    # function's own globals first (a module global may shadow a builtin, and
-    # nested scopes are not visible to getclosurevars), then its builtins.
-    # The artifact runs under the standard builtins; only the exact mapping is
-    # provably equivalent (a subclass or copy can change lookups and hooks).
-    if function.__builtins__ is not vars(builtins):
-        raise ValueError("@udf cannot package a non-standard builtins environment")
-    globals_source = []
-    unresolved = []
-    for name in sorted(references):
-        if name == function.__name__:
-            if not _is_recursive_reference(function, name):
-                raise ValueError(
-                    f"@udf cannot package {name!r}: the module binds that name to "
-                    "another value, which the artifact's own definition would shadow"
-                )
-            continue
-        if name in function.__globals__:
-            globals_source.append(_global_source(name, function.__globals__[name]))
-        elif hasattr(builtins, name):
-            pass
-        else:
-            unresolved.append(name)
-    if unresolved:
+    if closure.unbound:
         raise ValueError(
-            f"@udf source contains unresolved global names: {unresolved!r}"
+            f"@udf source contains unresolved global names: {sorted(closure.unbound)!r}"
         )
+    globals_source = []
+    for name, value in sorted(closure.globals.items()):
+        if isinstance(value, types.ModuleType):
+            globals_source.append(f"import {value.__name__} as {name}")
+        else:
+            globals_source.append(f"{name} = {_literal_source(value)}")
 
-    parts = [module_header]
+    function_source = ast.unparse(definition)
+    parts = ["from __future__ import annotations"]
     if globals_source:
         parts.extend(["", *globals_source])
     parts.extend(["", function_source, ""])
-    packaged = "\n".join(parts)
-    return packaged.encode("utf-8")
+    return "\n".join(parts).encode("utf-8")
 
 
 class UdfDefinition:
@@ -1203,44 +797,42 @@ class UdfDefinition:
         output_schema: Optional[pa.DataType | pa.Field | pa.Schema],
         pip: tuple[str, ...],
         env: Mapping[str, str],
+        secrets: tuple[str, ...],
         python_version: Optional[str],
-        gpu: bool = False,
-        conda: tuple[str, ...] = (),
-        conda_channels: tuple[str, ...] = (),
     ):
         function_name = name or function.__name__
         if not _FUNCTION_NAME.fullmatch(function_name):
             raise ValueError(f"invalid Function name: {function_name!r}")
-        if pip and conda:
-            raise ValueError("a Function environment is pip or conda, not both")
-        if conda_channels and not conda:
-            raise ValueError("conda_channels requires conda packages")
-        packages = tuple(sorted(set(conda if conda else pip)))
+        packages = tuple(sorted(set(pip)))
         if any(not package or package != package.strip() for package in packages):
-            raise ValueError("package requirements must be non-empty and trimmed")
-        if conda:
-            environment_spec = PythonEnvironmentSpec(
-                kind="conda", packages=packages, channels=tuple(conda_channels)
-            )
-        else:
-            environment_spec = PythonEnvironmentSpec(kind="pip", packages=packages)
+            raise ValueError("pip requirements must be non-empty and trimmed")
         environment = dict(env)
         if any(
             not isinstance(key, str) or not isinstance(value, str)
             for key, value in environment.items()
         ):
             raise TypeError("Function env keys and values must be strings")
+        required_secrets = tuple(sorted(set(secrets)))
+        invalid_secrets = [
+            secret for secret in required_secrets if not _SECRET_NAME.fullmatch(secret)
+        ]
+        if invalid_secrets:
+            raise ValueError(f"invalid Function secret names: {invalid_secrets!r}")
+        overlap = set(environment) & set(required_secrets)
+        if overlap:
+            raise ValueError(
+                f"Function env and secret names must be disjoint: {sorted(overlap)!r}"
+            )
+
         signature = _infer_signature(function, input_schema, output_schema)
         source = _package_source(function)
         digest = f"sha256:{hashlib.sha256(source).hexdigest()}"
-        gpu_marker = _normalize_gpu_marker(gpu)
         runtime = PythonRuntimeSpec(
-            kind="python_v2" if gpu_marker is not None else "python",
+            kind="python",
             python_version=python_version
             or f"{sys.version_info.major}.{sys.version_info.minor}",
-            environment=environment_spec,
+            environment=PythonEnvironmentSpec(kind="pip", packages=packages),
             env=environment,
-            gpu=gpu_marker,
         )
         self._function = function
         self._request = FunctionRegistrationRequest(
@@ -1260,6 +852,7 @@ class UdfDefinition:
             ),
             signature=signature,
             runtime=runtime,
+            required_secrets=required_secrets,
         )
         functools.update_wrapper(self, function)
 
@@ -1285,10 +878,8 @@ def udf(
     output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None,
     pip: tuple[str, ...] | list[str] = (),
     env: Optional[Mapping[str, str]] = None,
+    secrets: tuple[str, ...] | list[str] = (),
     python_version: Optional[str] = None,
-    gpu: bool = False,
-    conda: tuple[str, ...] | list[str] = (),
-    conda_channels: tuple[str, ...] | list[str] = (),
 ) -> Callable[[Callable[..., Any]], UdfDefinition]: ...
 
 
@@ -1300,18 +891,15 @@ def udf(
     output_schema: Optional[pa.DataType | pa.Field | pa.Schema] = None,
     pip: tuple[str, ...] | list[str] = (),
     env: Optional[Mapping[str, str]] = None,
+    secrets: tuple[str, ...] | list[str] = (),
     python_version: Optional[str] = None,
-    gpu: bool = False,
-    conda: tuple[str, ...] | list[str] = (),
-    conda_channels: tuple[str, ...] | list[str] = (),
 ):
     """Prepare a scalar Python callable for remote Function registration.
 
     Input and output signatures are inferred from supported annotations. For
     Arrow types annotations cannot express precisely, pass ``input_schema``
-    and ``output_schema`` together. Scalar outputs must be non-nullable. Every
-    named-struct field may be nullable; Enterprise preserves the struct's
-    validity when the result is expanded into sibling columns.
+    and ``output_schema`` together. Nullable outputs are rejected because V1
+    uses physical NULL to represent unassigned computed-column rows.
 
     Parameters
     ----------
@@ -1323,29 +911,17 @@ def udf(
         Explicit input fields in the exact order of the callable parameters.
         Must be provided together with ``output_schema``.
     output_schema : pyarrow.DataType, pyarrow.Field, or pyarrow.Schema, optional
-        Explicit scalar or named-struct output. Scalar outputs must be
-        non-nullable. Must be provided together with ``input_schema``.
+        Explicit scalar or named-struct output. Must be non-nullable and be
+        provided together with ``input_schema``.
     pip : sequence of str, optional
         Pip requirements for the remote environment.
-    conda : sequence of str, optional
-        Conda packages for the remote environment, instead of ``pip``.
-    conda_channels : sequence of str, optional
-        Conda channels in priority order; requires ``conda``.
     env : mapping of str to str, optional
-        Environment variables included in the Function definition.
+        Non-secret environment variables. Use ``secrets`` for credentials.
+    secrets : sequence of str, optional
+        Names of secrets resolved by the remote service. Secret values are not
+        accepted by this API or included in the registration request.
     python_version : str, optional
         Remote Python major/minor version. Defaults to the client version.
-    gpu : bool, default False
-        Whether every remote execution requires a GPU. The execution platform
-        selects one compatible GPU for each worker. The requirement is part of
-        the immutable Function version.
-
-    The packaged artifact is a snapshot: the function source plus exactly
-    the module-level names it references (modules as imports, importable
-    classes and functions as imports, literals inline). Code that reaches the
-    module namespace another way -- ``globals()``/``eval``, ``sys.modules``,
-    ``builtins`` -- is rejected where it can be seen and otherwise
-    unsupported; closures and a non-standard ``__builtins__`` are rejected.
 
     Returns
     -------
@@ -1358,16 +934,11 @@ def udf(
     Examples
     --------
     >>> from lancedb import udf
-    >>> @udf(pip=["numpy==2.2.0"])
+    >>> @udf(pip=["numpy==2.2.0"], secrets=["MODEL_TOKEN"])
     ... def score(value: float) -> float:
     ...     return value * 2
     >>> score(1.5)
     3.0
-    >>> @udf(pip=["cupy-cuda12x"], gpu=True)
-    ... def gpu_score(value: int) -> int:
-    ...     return value * 2
-    >>> gpu_score.registration_request.runtime.gpu
-    True
     """
 
     def decorate(target: Callable[..., Any]) -> UdfDefinition:
@@ -1378,10 +949,8 @@ def udf(
             output_schema=output_schema,
             pip=tuple(pip),
             env={} if env is None else env,
+            secrets=tuple(secrets),
             python_version=python_version,
-            gpu=gpu,
-            conda=tuple(conda),
-            conda_channels=tuple(conda_channels),
         )
 
     if function is None:
@@ -1390,7 +959,6 @@ def udf(
 
 
 __all__ = [
-    "AssignmentMapping",
     "ApplicationInput",
     "FunctionApplication",
     "FunctionArtifact",

python/python/lancedb/index.py

@@ -7,7 +7,6 @@ from typing import List, Literal, Optional
 from ._lancedb import (
     IndexConfig,
 )
-from .query import DocumentGranularity
 from .types import BaseTokenizerType
 
 lang_mapping = {
@@ -122,11 +121,6 @@ class FTS:
 
     >>> config = FTS(block_size=256)
 
-    Create an index that treats each deepest-list element as one document:
-
-    >>> from lancedb.query import DocumentGranularity
-    >>> config = FTS(document_granularity=DocumentGranularity.LIST_ELEMENT)
-
     Attributes
     ----------
     with_position : bool, default False
@@ -178,11 +172,6 @@ class FTS:
         roughly half of the available CPU cores. The effective value is
         limited by the available compute capacity. This build-only setting is
         not persisted with the index and does not apply to remote tables.
-    document_granularity : DocumentGranularity, default ROW
-        ``ROW`` treats the selected text in one table row as one document.
-        ``LIST_ELEMENT`` treats each element of the deepest list on the indexed
-        field path as one document and returns its physical coordinates in
-        ``_doc_index`` for matching queries.
 
     Notes
     -----
@@ -207,7 +196,6 @@ class FTS:
     custom_stop_words: Optional[List[str]] = None
     memory_limit: Optional[int] = None
     num_workers: Optional[int] = None
-    document_granularity: DocumentGranularity = DocumentGranularity.ROW
 
 
 @dataclass

python/python/lancedb/job.py

@@ -4,27 +4,15 @@
 """Handles to operations a server may run asynchronously."""
 
 import asyncio
-import json
 from datetime import timedelta
 from typing import Any, Callable, Generic, Optional, TypeVar, cast
 
-import pyarrow as pa
-
 from lancedb.background_loop import LOOP
 
 from . import _lancedb
-from ._lancedb import JobDescription, JobFailureInfo, JobInfo
 
 T = TypeVar("T")
 
-__all__ = [
-    "AsyncJob",
-    "Job",
-    "JobDescription",
-    "JobFailureInfo",
-    "JobInfo",
-]
-
 
 class AsyncJob(Generic[T]):
     """A handle to an operation that may still be running.
@@ -90,149 +78,6 @@ class AsyncJob(Generic[T]):
             return
         await self._inner.cancel()
 
-    async def refresh(self) -> None:
-        """Ask the backend for this job's current state, and for a server-side
-        job its full record, then cache it for the properties below.
-
-        The properties are all `None` until this runs, because submitting an
-        operation returns only a job id. `status` fetches the whole record too;
-        `wait` records only the terminal state it establishes.
-        """
-        if self._inner is None:
-            return
-        await self._inner.refresh()
-
-    @property
-    def state(self) -> Optional[str]:
-        """The last observed lifecycle state, without contacting the backend.
-
-        `None` until the handle has talked to it. See :meth:`AsyncJob.refresh`.
-        """
-        if self._inner is None:
-            return "finished"
-        return self._inner._state
-
-    @property
-    def job_type(self) -> Optional[str]:
-        """The job's type, as the server names it.
-
-        `None` for an in-process job, which has no server-side record.
-        """
-        return self._field("job_type")
-
-    @property
-    def creation_ms(self) -> Optional[int]:
-        """When the job was created, in milliseconds since the epoch."""
-        return self._field("creation_ms")
-
-    @property
-    def spec(self) -> Optional[Any]:
-        """The job-type-specific specification it was submitted with."""
-        return self._field("spec")
-
-    @property
-    def result(self) -> Optional[Any]:
-        """The job-type-specific terminal result, as reported data rather than
-        the typed model :meth:`AsyncJob.wait` returns.
-
-        `None` until the job succeeds, so a job that never terminates reports
-        its progress through :meth:`AsyncJob.events` instead.
-        """
-        return self._field("result")
-
-    @property
-    def failure(self) -> Optional[JobFailureInfo]:
-        """Why the job failed, when it failed and the server reports a reason."""
-        return self._field("failure")
-
-    @property
-    def _spec_json(self) -> Optional[str]:
-        return self._field("_spec_json")
-
-    @property
-    def _result_json(self) -> Optional[str]:
-        return self._field("_result_json")
-
-    def _field(self, name: str) -> Optional[Any]:
-        description = self._inner._description if self._inner is not None else None
-        return getattr(description, name) if description is not None else None
-
-    async def events(
-        self,
-        *,
-        limit: Optional[int] = None,
-        filter: Optional[str] = None,
-    ) -> "pa.Table":
-        """This job's recorded lifecycle events.
-
-        Where the properties above report a terminal result only once the job
-        reaches one, events are written as the job runs and outlive the workers
-        that produced them. A distributed job records a `claim`/`claim_complete`
-        pair per unit of work, each carrying `rows_processed`, so a job that
-        never finishes still accounts for what it did.
-
-        Parameters
-        ----------
-        limit: int, optional
-            Maximum event rows to return. The server caps results at 1000 by
-            default and 10,000 at most, and truncates without saying so, so
-            pass this for a job that emits an event per fragment.
-        filter: str, optional
-            SQL-like expression over the `state`, `updated_by`, `emitted_from`,
-            `emitted_by`, and `claim_entity` columns, such as
-            ``state = 'claim_complete'``.
-        """
-        if self._inner is None:
-            raise NotImplementedError(
-                "job event history is only available for server-side jobs"
-            )
-        return await self._inner.events(limit=limit, filter=filter)
-
-    def __repr__(self) -> str:
-        return _job_repr("AsyncJob", self)
-
-
-_REPR_INDENT = " " * 4
-
-
-def _repr_payload(value: Any) -> str:
-    """Render a job payload as indented JSON, aligned under its field."""
-    try:
-        rendered = json.dumps(value, indent=4)
-    except TypeError:
-        return repr(value)
-    return rendered.replace("\n", "\n" + _REPR_INDENT)
-
-
-def _job_repr(kind: str, job: Any) -> str:
-    """Render every field the handle currently knows, omitting the rest.
-
-    One field per line, with the JSON payloads indented, because a refresh
-    job's spec and result are the point of printing it.
-    """
-    state = job.state
-    if state is None:
-        # Nothing has been fetched yet, so there is nothing to lay out.
-        known = f"id={job.id!r}, " if job.id is not None else ""
-        return f"{kind}({known}not refreshed)"
-
-    fields = []
-    if job.id is not None:
-        fields.append(f"id={job.id!r}")
-    fields.append(f"state={state!r}")
-    for name in ("job_type", "creation_ms"):
-        value = getattr(job, name)
-        if value is not None:
-            fields.append(f"{name}={value!r}")
-    for name in ("spec", "result"):
-        value = getattr(job, name)
-        if value is not None:
-            fields.append(f"{name}={_repr_payload(value)}")
-    if job.failure is not None:
-        fields.append(f"failure={job.failure!r}")
-    body = "".join(f"\n{_REPR_INDENT}{field}," for field in fields)
-    return f"{kind}({body}\n)"
-
 
 class Job(Generic[T]):
     """Synchronous counterpart of `AsyncJob` with the same result type."""
@@ -277,75 +122,6 @@ class Job(Generic[T]):
             return
         LOOP.run(self._inner.cancel())
 
-    def refresh(self) -> None:
-        """Ask the backend for this job's current state and record.
-
-        See :meth:`AsyncJob.refresh`.
-        """
-        if self._inner is None:
-            return
-        LOOP.run(self._inner.refresh())
-
-    @property
-    def state(self) -> Optional[str]:
-        """The last observed lifecycle state. See :attr:`AsyncJob.state`."""
-        return self._inner.state if self._inner is not None else "finished"
-
-    @property
-    def job_type(self) -> Optional[str]:
-        """The job's type. See :attr:`AsyncJob.job_type`."""
-        return self._field("job_type")
-
-    @property
-    def creation_ms(self) -> Optional[int]:
-        """When the job was created. See :attr:`AsyncJob.creation_ms`."""
-        return self._field("creation_ms")
-
-    @property
-    def spec(self) -> Optional[Any]:
-        """The job's specification. See :attr:`AsyncJob.spec`."""
-        return self._field("spec")
-
-    @property
-    def result(self) -> Optional[Any]:
-        """The job's terminal result. See :attr:`AsyncJob.result`."""
-        return self._field("result")
-
-    @property
-    def failure(self) -> Optional[JobFailureInfo]:
-        """Why the job failed. See :attr:`AsyncJob.failure`."""
-        return self._field("failure")
-
-    @property
-    def _spec_json(self) -> Optional[str]:
-        return self._field("_spec_json")
-
-    @property
-    def _result_json(self) -> Optional[str]:
-        return self._field("_result_json")
-
-    def _field(self, name: str) -> Optional[Any]:
-        return getattr(self._inner, name) if self._inner is not None else None
-
-    def events(
-        self,
-        *,
-        limit: Optional[int] = None,
-        filter: Optional[str] = None,
-    ) -> "pa.Table":
-        """This job's recorded lifecycle events.
-
-        See :meth:`AsyncJob.events`.
-        """
-        if self._inner is None:
-            raise NotImplementedError(
-                "job event history is only available for server-side jobs"
-            )
-        return LOOP.run(self._inner.events(limit=limit, filter=filter))
-
-    def __repr__(self) -> str:
-        return _job_repr("Job", self)
-
 
 def _typed_job(
     inner: "_lancedb.Job", result_decoder: Callable[[str], T]

python/python/lancedb/materialized_view.py

@@ -42,8 +42,6 @@ class MaterializedViewDefinition:
     """Cap on the number of rows the view holds."""
     inputs: List[str] = field(default_factory=list)
     """Source columns the projections and filter read."""
-    source_namespace: List[str] = field(default_factory=list)
-    """Namespace holding the source table; empty is the root namespace."""
 
 
 def _definition_from_schema(
@@ -55,8 +53,7 @@ def _definition_from_schema(
         raise ValueError(f"Table '{name}' is not a materialized view")
     value = json.loads(raw)
     kind = value.get("kind")
-    # "namespaced_select" keeps older readers from resolving the source at root.
-    if kind not in ("select", "namespaced_select"):
+    if kind != "select":
         raise NotImplementedError(
             f"materialized view '{name}' is defined by '{kind}', which this "
             "version of lancedb cannot refresh"
@@ -69,7 +66,6 @@ def _definition_from_schema(
         filter=value.get("filter"),
         limit=value.get("limit"),
         inputs=value.get("inputs", []),
-        source_namespace=value.get("source_namespace", []),
     )
 
 

python/python/lancedb/namespace.py

@@ -12,7 +12,6 @@ from __future__ import annotations
 
 import sys
 from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
-from uuid import UUID
 
 if sys.version_info >= (3, 12):
     from typing import override
@@ -49,11 +48,8 @@ from lancedb._lancedb import (
     connect_namespace_client as _connect_namespace_client,
 )
 from lancedb.background_loop import LOOP
-from lancedb.arrow import AsyncRecordBatchReader
 from lancedb.db import AsyncConnection, DBConnection
 from lancedb.job import AsyncJob, Job
-from lancedb.sql import AsyncQuery as AsyncSqlQuery
-from lancedb.sql import QueryDescription
 from lance_namespace import (
     LanceNamespace,
     connect as namespace_connect,
@@ -1451,37 +1447,6 @@ class AsyncLanceNamespaceDBConnection:
             namespace_path=namespace_path, page_token=page_token, limit=limit
         )
 
-    async def execute_query(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> AsyncRecordBatchReader:
-        """Execute SQL when supported by the underlying connection."""
-        return await self._inner.execute_query(
-            query,
-            default_namespace_path=default_namespace_path,
-        )
-
-    async def execute_query_async(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> AsyncSqlQuery:
-        """Start executing SQL when supported by the underlying connection.
-
-        Namespace-backed local connections do not support SQL.
-        """
-        return await self._inner.execute_query_async(
-            query,
-            default_namespace_path=default_namespace_path,
-        )
-
-    async def describe_query(self, query_id: UUID) -> QueryDescription:
-        """Describe a submitted SQL query when supported."""
-        return await self._inner.describe_query(query_id)
-
     async def namespace_client(self) -> LanceNamespace:
         """Get the namespace client for this connection.
 

python/python/lancedb/permutation.py

@@ -391,15 +391,6 @@ def _table_to_pickle_state(table: Table) -> dict[str, Any]:
     }
 
 
-def _drop_base_version(permutation_data: pa.Table) -> pa.Table:
-    """Strip the recorded base version so the reader leaves the base table unpinned."""
-    metadata = dict(permutation_data.schema.metadata or {})
-    if metadata.pop(b"base_version", None) is None:
-        return permutation_data
-    metadata.pop(b"base_branch", None)
-    return permutation_data.replace_schema_metadata(metadata)
-
-
 def _table_from_pickle_state(state: dict[str, Any]) -> Table:
     from . import connect
 
@@ -688,15 +679,11 @@ class Permutation:
         from . import connect
 
         connection_factory = state["connection_factory"]
-        rebuilt_base = False
         if connection_factory is not None:
             base_table = connection_factory(state["base_table_name"])
         elif "base_table_state" in state:
-            base_state = state["base_table_state"]
-            rebuilt_base = base_state["kind"] == "memory"
-            base_table = _table_from_pickle_state(base_state)
+            base_table = _table_from_pickle_state(state["base_table_state"])
         elif "base_table_data" in state:
-            rebuilt_base = True
             # In-memory base table inlined into the pickle; rebuild the same
             # way we rebuild the in-memory permutation table.
             mem_db = connect("memory://")
@@ -714,14 +701,11 @@ class Permutation:
             )
 
         permutation_table: Optional[Table] = None
-        permutation_data = state["permutation_data"]
-        if permutation_data is not None:
-            if rebuilt_base:
-                # The base table was materialized from Arrow, so it is a fresh
-                # single-version dataset and the recorded pin cannot resolve on it.
-                permutation_data = _drop_base_version(permutation_data)
+        if state["permutation_data"] is not None:
             mem_db = connect("memory://")
-            permutation_table = mem_db.create_table("permutation", permutation_data)
+            permutation_table = mem_db.create_table(
+                "permutation", state["permutation_data"]
+            )
 
         self.base_table = base_table
         self.permutation_table = permutation_table

python/python/lancedb/query.py

@@ -109,7 +109,6 @@ def _query_is_plain_scan(query: Query) -> bool:
     return (
         query.vector is None
         and query.full_text_query is None
-        and query.take_offsets is None
         and not query.postfilter
         and not query.order_by
     )
@@ -168,12 +167,6 @@ def _projection_to_scanner_kwargs(columns: QueryProjection) -> Dict[str, Any]:
     return {"columns": projection}
 
 
-def _query_request_projection(req: "PyQueryRequest") -> QueryProjection:
-    if req.select_source_columns is not None:
-        return req.select_source_columns
-    return req.select
-
-
 def _scanner_kwargs_for_query(
     query: Query,
     blob_mode: BlobMode,
@@ -382,13 +375,6 @@ class FullTextOperator(str, Enum):
     OR = "OR"
 
 
-class DocumentGranularity(str, Enum):
-    """The unit treated as one full-text-search document."""
-
-    ROW = "row"
-    LIST_ELEMENT = "list_element"
-
-
 class Occur(str, Enum):
     SHOULD = "SHOULD"
     MUST = "MUST"
@@ -492,10 +478,6 @@ class MatchQuery(FullTextQuery):
     prefix_length : int, optional
         The number of beginning characters being unchanged for fuzzy matching.
         This is useful to achieve prefix matching.
-    document_granularity : DocumentGranularity, optional
-        Explicitly select row or deepest-list-element documents. If omitted,
-        the indexed granularity is inferred. When both granularities are indexed
-        for the field, this must be specified. With no index, row granularity is used.
     """
 
     query: str
@@ -505,9 +487,6 @@ class MatchQuery(FullTextQuery):
     max_expansions: int = pydantic.Field(50, kw_only=True)
     operator: FullTextOperator = pydantic.Field(FullTextOperator.OR, kw_only=True)
     prefix_length: int = pydantic.Field(0, kw_only=True)
-    document_granularity: Optional[DocumentGranularity] = pydantic.Field(
-        None, kw_only=True
-    )
 
     def query_type(self) -> FullTextQueryType:
         return FullTextQueryType.MATCH
@@ -524,20 +503,11 @@ class PhraseQuery(FullTextQuery):
         The query string to match against.
     column : str
         The name of the column to match against.
-    slop : int, default 0
-        The maximum number of intervening positions permitted in the phrase.
-    document_granularity : DocumentGranularity, optional
-        Explicitly select row or deepest-list-element documents. If omitted,
-        the indexed granularity is inferred. When both granularities are indexed
-        for the field, this must be specified. With no index, row granularity is used.
     """
 
     query: str
     column: str
     slop: int = pydantic.Field(0, kw_only=True)
-    document_granularity: Optional[DocumentGranularity] = pydantic.Field(
-        None, kw_only=True
-    )
 
     def query_type(self) -> FullTextQueryType:
         return FullTextQueryType.MATCH_PHRASE
@@ -805,10 +775,6 @@ class Query(pydantic.BaseModel):
     # offset to start fetching results from
     offset: Optional[int] = None
 
-    # Dataset offsets whose duplicate occurrences must be restored after lookup.
-    # This is populated when a take query is converted to this serializable form.
-    take_offsets: Optional[List[int]] = None
-
     # if true, will only search the indexed data
     fast_search: Optional[bool] = None
 
@@ -830,7 +796,6 @@ class Query(pydantic.BaseModel):
         query = cls()
         query.limit = req.limit
         query.offset = req.offset
-        query.take_offsets = req.take_offsets
         query.filter = req.filter
         query.full_text_query = req.full_text_search
         query.columns = req.select
@@ -2811,16 +2776,15 @@ class AsyncQueryBase(object):
 
         req = self._inner.to_query_request()
         schema = await self._table.schema()
-        projection = _query_request_projection(req)
         self._blob_auto_row_id = blob_auto_row_id_for_scan(
             schema,
-            projection,
+            req.select,
             with_row_id=self._with_row_id,
         )
         if not self._blob_auto_row_id:
             self._blob_paths = ()
             return
-        self._blob_paths = tuple(blob_v2_projection_sources(schema, projection).keys())
+        self._blob_paths = tuple(blob_v2_projection_sources(schema, req.select).keys())
         self._inner.with_row_id()
 
     def select(self, columns: Union[List[str], dict[str, str]]) -> Self:
@@ -3414,10 +3378,9 @@ class AsyncQuery(AsyncStandardQuery):
         pass in multiple vectors. When multiple vectors are passed in, if the vector
         column is with multivector type, then the vectors will be treated as a single
         query. Or the vectors will be treated as multiple queries, this can be useful
-        if you want to find the nearest vectors to multiple query vectors. Flat
-        searches share one table scan across the query vectors, avoiding the scan
-        and memory amplification of making multiple queries concurrently. If
-        multiple vectors are passed in then
+        if you want to find the nearest vectors to multiple query vectors.
+        This is not expected to be faster than making multiple queries concurrently;
+        it is just a convenience method. If multiple vectors are passed in then
         an additional column `query_index` will be added to the results. This column
         will contain the index of the query vector that the result is nearest to.
         """
@@ -3546,8 +3509,8 @@ class AsyncFTSQuery(AsyncStandardQuery):
 
         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
-        vectors to multiple query vectors. Flat searches share one table scan across
-        the query vectors instead of issuing concurrent full scans.
+        vectors to multiple query vectors. This is not expected to be faster than
+        making multiple queries concurrently; it is just a convenience method.
         If multiple vectors are passed in then an additional column `query_index`
         will be added to the results.  This column will contain the index of the
         query vector that the result is nearest to.
@@ -3907,15 +3870,14 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
         blob_paths: tuple[str, ...] = ()
         if self._table is not None:
             schema = await self._table.schema()
-            projection = _query_request_projection(req)
             blob_auto_row_id = blob_auto_row_id_for_scan(
                 schema,
-                projection,
+                req.select,
                 with_row_id=self._with_row_id,
             )
             if blob_auto_row_id:
                 blob_paths = tuple(
-                    blob_v2_projection_sources(schema, projection).keys()
+                    blob_v2_projection_sources(schema, req.select).keys()
                 )
         self._blob_auto_row_id = blob_auto_row_id
         self._blob_paths = blob_paths

python/python/lancedb/remote/db.py

@@ -9,7 +9,6 @@ from concurrent.futures import ThreadPoolExecutor
 import sys
 from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Optional, Union
 from urllib.parse import urlparse
-from uuid import UUID
 import warnings
 
 if sys.version_info >= (3, 12):
@@ -26,12 +25,10 @@ from ..common import DATA
 from ..db import DBConnection, LOOP
 from ..functions import FunctionVersion, UdfDefinition
 from ..job import AsyncJob, Job
-from ..sql import Query as SqlQuery
-from ..sql import QueryDescription
 from ..materialized_view import MaterializedView, SelectArg
 
 if TYPE_CHECKING:
-    from .._lancedb import JobInfo
+    from .._lancedb import JobDescription, JobInfo
 from ..embeddings import EmbeddingFunctionConfig
 from lance_namespace import (
     LanceNamespace,
@@ -119,7 +116,6 @@ class RemoteDBConnection(DBConnection):
         read_timeout: Optional[float] = None,
         storage_options: Optional[Dict[str, str]] = None,
         read_consistency_interval: Optional[timedelta] = None,
-        sql_host_override: Optional[str] = None,
     ):
         """Connect to a remote LanceDB database."""
         if isinstance(client_config, dict):
@@ -165,7 +161,6 @@ class RemoteDBConnection(DBConnection):
         self.api_key = api_key
         self.region = region
         self.host_override = host_override
-        self.sql_host_override = sql_host_override
         self.storage_options = storage_options
         self.db_name = parsed.netloc
 
@@ -180,7 +175,6 @@ class RemoteDBConnection(DBConnection):
                 api_key=api_key,
                 region=region,
                 host_override=host_override,
-                sql_host_override=sql_host_override,
                 client_config=client_config,
                 storage_options=storage_options,
                 read_consistency_interval=read_consistency_interval,
@@ -199,7 +193,6 @@ class RemoteDBConnection(DBConnection):
                 "api_key": self.api_key,
                 "region": self.region,
                 "host_override": self.host_override,
-                "sql_host_override": self.sql_host_override,
                 "client_config": _client_config_to_dict(self.client_config),
                 "storage_options": self.storage_options,
             }
@@ -739,11 +732,14 @@ class RemoteDBConnection(DBConnection):
         )
 
     @override
-    def open_job(self, job_id: str) -> Job:
-        """Open a server-side job by id. See
-        [DBConnection.open_job][lancedb.db.DBConnection.open_job].
+    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(LOOP.run(self._conn.open_job(job_id)))
+        return Job(self._conn.job(job_id))
 
     @override
     def create_function_async(self, definition: UdfDefinition) -> Job[FunctionVersion]:
@@ -753,19 +749,19 @@ class RemoteDBConnection(DBConnection):
     def get_function(self, name: str, *, version: str) -> FunctionVersion:
         return LOOP.run(self._conn.get_function(name, version=version))
 
-    @override
-    def list_functions(self) -> List[FunctionVersion]:
-        return LOOP.run(self._conn.list_functions())
-
-    @override
-    def drop_function(self, name: str, *, version: str) -> bool:
-        return LOOP.run(self._conn.drop_function(name, version=version))
-
     @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.
@@ -777,35 +773,12 @@ class RemoteDBConnection(DBConnection):
         return LOOP.run(self._conn.cancel_job(job_id))
 
     @override
-    def execute_query_async(
-        self,
-        query: str,
-        *,
-        default_namespace_path: Optional[List[str]] = None,
-    ) -> SqlQuery:
-        """Start executing SQL through this remote connection.
+    def job_history(self, job_id: Optional[str] = None) -> List[pa.RecordBatch]:
+        """The lifecycle event history of a server-side job, as Arrow batches.
 
-        Unqualified tables use this connection's database and the
-        ``["public"]`` namespace by default. Fully qualified table names may
-        reference other databases available to the same deployment.
+        Lists history across all jobs when `job_id` is None.
         """
-        return SqlQuery(
-            LOOP.run(
-                self._conn.execute_query_async(
-                    query,
-                    default_namespace_path=default_namespace_path,
-                )
-            )
-        )
-
-    @override
-    def describe_query(self, query_id: UUID) -> QueryDescription:
-        """Describe a submitted SQL query by its connection-scoped id."""
-        return LOOP.run(
-            self._conn.describe_query(
-                query_id,
-            )
-        )
+        return LOOP.run(self._conn.job_history(job_id))
 
     @override
     def namespace_client(self) -> LanceNamespace:

python/python/lancedb/remote/header.py

@@ -177,7 +177,4 @@ class OAuthProvider(HeaderProvider):
         if not self._current_token:
             raise RuntimeError("Failed to obtain OAuth token")
 
-        return {
-            "Authorization": f"Bearer {self._current_token}",
-            "x-lancedb-credential-type": "oidc",
-        }
+        return {"Authorization": f"Bearer {self._current_token}"}

python/python/lancedb/remote/table.py

@@ -36,7 +36,6 @@ from lancedb._lancedb import (
     UpdateResult,
 )
 from lancedb.embeddings.base import EmbeddingFunctionConfig
-from lancedb.expr import Expr
 from lancedb.index import (
     FTS,
     BTree,
@@ -62,20 +61,11 @@ from lancedb.table import _normalize_progress
 
 from ..query import (
     AnalyzePlanDistributedMetrics,
-    DocumentGranularity,
     LanceQueryBuilder,
     LanceTakeQueryBuilder,
     LanceVectorQueryBuilder,
 )
-from ..table import (
-    AsyncTable,
-    BlobMode,
-    Branches,
-    IndexStatistics,
-    Query,
-    Table,
-    Tags,
-)
+from ..table import AsyncTable, BlobMode, Branches, IndexStatistics, Query, Table, Tags
 from ..types import BaseTokenizerType
 
 
@@ -359,7 +349,6 @@ class RemoteTable(Table):
         ngram_max_length: int = 3,
         prefix_only: bool = False,
         block_size: int = 128,
-        document_granularity: DocumentGranularity = DocumentGranularity.ROW,
         name: Optional[str] = None,
     ):
         """Create a full-text search index on a column.
@@ -382,7 +371,6 @@ class RemoteTable(Table):
             ngram_max_length=ngram_max_length,
             prefix_only=prefix_only,
             block_size=block_size,
-            document_granularity=document_granularity,
         )
         LOOP.run(
             self._table.create_index(
@@ -548,7 +536,6 @@ class RemoteTable(Table):
         LOOP.run(
             self._table.create_index(
                 column,
-                replace=replace,
                 config=config,
                 wait_timeout=wait_timeout,
                 name=name,
@@ -623,7 +610,6 @@ class RemoteTable(Table):
         fill_value: float = 0.0,
         progress: Optional[Union[bool, Callable, Any]] = None,
         write_parallelism: Optional[int] = None,
-        allow_external_blob_outside_bases: bool = False,
     ) -> AddResult:
         """Add more data to the [Table][lancedb.table.Table].
 
@@ -656,8 +642,6 @@ class RemoteTable(Table):
             data in flight. Defaults to an estimate based on the data size,
             capped at the number of CPU cores. Lower this if bulk ingestion is
             using too much memory.
-        allow_external_blob_outside_bases: bool, default False
-            Not supported on LanceDB Cloud. Setting this raises.
 
         Returns
         -------
@@ -674,7 +658,6 @@ class RemoteTable(Table):
                     fill_value=fill_value,
                     progress=progress,
                     write_parallelism=write_parallelism,
-                    allow_external_blob_outside_bases=allow_external_blob_outside_bases,
                 )
             )
         finally:
@@ -873,7 +856,7 @@ class RemoteTable(Table):
 
     def update(
         self,
-        where: Optional[Union[str, Expr]] = None,
+        where: Optional[str] = None,
         values: Optional[dict] = None,
         *,
         values_sql: Optional[Dict[str, str]] = None,
@@ -884,11 +867,9 @@ class RemoteTable(Table):
 
         Parameters
         ----------
-        where: str or [Expr][lancedb.expr.Expr], optional
-            The filter condition. Can be a SQL string or a type-safe
-            [Expr][lancedb.expr.Expr] built with [col][lancedb.expr.col] and
-            [lit][lancedb.expr.lit]. The filter must not be empty, or it will
-            error.
+        where: str, optional
+            The SQL where clause to use when updating rows. For example, 'x = 2'
+            or 'x IN (1, 2, 3)'. The filter must not be empty, or it will error.
         values: dict, optional
             The values to update. The keys are the column names and the values
             are the values to set.

python/python/lancedb/schema.py

@@ -4,34 +4,30 @@
 
 """Schema helpers for Lance blob columns."""
 
-import importlib
-from typing import TYPE_CHECKING
-
 import pyarrow as pa
-import pyarrow.ipc
-
-if TYPE_CHECKING:
-    from lance.blob import BlobType as BlobType
 
 _BLOB_EXTENSION_NAME = "lance.blob.v2"
 _BLOB_V1_KEY = "lance-encoding:blob"
 _ARROW_EXT_NAME_KEY = "ARROW:extension:name"
-_BLOB_V2_STORAGE_TYPE = pa.struct(
-    [
-        pa.field("data", pa.large_binary(), nullable=True),
-        pa.field("uri", pa.utf8(), nullable=True),
-        pa.field("position", pa.uint64(), nullable=True),
-        pa.field("size", pa.uint64(), nullable=True),
-    ]
-)
-_resolved_blob_type = None
 
 
-class _FallbackBlobType(pa.ExtensionType):
-    """lance.blob.v2 extension type used when pylance is not installed."""
+class BlobType(pa.ExtensionType):
+    """PyArrow extension type for a Lance blob v2 column.
+
+    Queries return descriptors; call :meth:`~lancedb.table.Table.fetch_blob_files`
+    for lazy reads or :meth:`~lancedb.table.Table.fetch_blobs` for eager bytes.
+    """
 
     def __init__(self) -> None:
-        pa.ExtensionType.__init__(self, _BLOB_V2_STORAGE_TYPE, _BLOB_EXTENSION_NAME)
+        storage_type = pa.struct(
+            [
+                pa.field("data", pa.large_binary(), nullable=True),
+                pa.field("uri", pa.utf8(), nullable=True),
+                pa.field("position", pa.uint64(), nullable=True),
+                pa.field("size", pa.uint64(), nullable=True),
+            ]
+        )
+        super().__init__(storage_type, _BLOB_EXTENSION_NAME)
 
     def __arrow_ext_serialize__(self) -> bytes:
         return b""
@@ -39,16 +35,23 @@ class _FallbackBlobType(pa.ExtensionType):
     @classmethod
     def __arrow_ext_deserialize__(
         cls, storage_type: pa.DataType, serialized: bytes
-    ) -> "_FallbackBlobType":
+    ) -> "BlobType":
         return cls()
 
     def __reduce__(self):
+        # Ensure pickle round-trips on older pyarrow (apache/arrow#35599).
         return type(self).__arrow_ext_deserialize__, (
             self.storage_type,
             self.__arrow_ext_serialize__(),
         )
 
 
+try:
+    pa.register_extension_type(BlobType())  # type: ignore[arg-type]
+except pa.ArrowKeyError:
+    pass
+
+
 def _metadata_value(metadata: dict, key: str):
     return metadata.get(key.encode()) or metadata.get(key)
 
@@ -89,105 +92,43 @@ def is_blob_like_field(field: pa.Field) -> bool:
     return is_blob_v2_field(field) or _metadata_marks_legacy_blob(field.metadata or {})
 
 
-def _collect_blob_paths(schema: pa.Schema, is_blob) -> list[tuple[str, bool]]:
-    """Walk the schema and return (path, has_list_ancestor) for each blob field."""
-    paths: list[tuple[str, bool]] = []
+def _collect_blob_paths(schema: pa.Schema, is_blob) -> list[str]:
+    paths: list[str] = []
 
-    def walk(fields, prefix: str, has_list_ancestor: bool) -> None:
+    def walk(fields, prefix: str) -> None:
         for field in fields:
             path = f"{prefix}.{field.name}" if prefix else field.name
             if is_blob(field):
-                paths.append((path, has_list_ancestor))
+                paths.append(path)
             elif pa.types.is_struct(field.type):
-                walk(field.type, path, has_list_ancestor)
+                walk(field.type, path)
             elif (
                 pa.types.is_list(field.type)
                 or pa.types.is_large_list(field.type)
                 or pa.types.is_fixed_size_list(field.type)
             ):
-                walk([field.type.value_field], path, True)
+                walk([field.type.value_field], path)
 
-    walk(schema, "", False)
+    walk(schema, "")
     return paths
 
 
 def blob_column_paths(schema: pa.Schema) -> list[str]:
     """Dotted paths of blob-like columns (v2 extension or legacy metadata)."""
-    return [path for path, _ in _collect_blob_paths(schema, is_blob_like_field)]
+    return _collect_blob_paths(schema, is_blob_like_field)
 
 
 def blob_v2_column_paths(schema: pa.Schema) -> list[str]:
-    return [path for path, _ in _collect_blob_paths(schema, is_blob_v2_field)]
-
-
-def row_addressable_blob_v2_paths(schema: pa.Schema) -> list[str]:
-    """Blob v2 paths with one blob addressable by table row id.
-
-    ``fetch_blobs`` and the descriptor row-id ride-along address one blob per
-    row, so a blob inside a list container has no row-id slot and no fetch
-    path. Those columns still store and query as raw descriptors.
-    """
-    return [
-        path
-        for path, has_list_ancestor in _collect_blob_paths(schema, is_blob_v2_field)
-        if not has_list_ancestor
-    ]
+    return _collect_blob_paths(schema, is_blob_v2_field)
 
 
 def schema_has_blob_field(schema: pa.Schema) -> bool:
     return bool(blob_column_paths(schema))
 
 
-def _deserialize_registered_type(extension_type: pa.ExtensionType) -> pa.DataType:
-    """Return the type Arrow reconstructs for this extension name."""
-    schema = pa.schema([pa.field("value", extension_type)])
-    restored = pa.ipc.read_schema(schema.serialize())
-    return restored.field("value").type
-
-
-def _resolve_blob_type():
-    """Return the BlobType class this process should use.
-
-    pylance's class when it owns the lance.blob.v2 registry entry,
-    otherwise LanceDB's fallback. A different registered class is an error.
-    """
-    global _resolved_blob_type
-    if _resolved_blob_type is not None:
-        return _resolved_blob_type
-    try:
-        blob_module = importlib.import_module("lance.blob")
-    except ModuleNotFoundError as err:
-        if err.name not in ("lance", "lance.blob"):
-            raise
-    else:
-        blob_type = getattr(blob_module, "BlobType", None)
-        if blob_type is not None:
-            registered_type = _deserialize_registered_type(blob_type())
-            if type(registered_type) is not blob_type:
-                registered_cls = type(registered_type)
-                raise ValueError(
-                    "lance.blob.v2 is already registered by "
-                    f"{registered_cls.__module__}.{registered_cls.__qualname__}"
-                )
-            _resolved_blob_type = blob_type
-            return blob_type
-    try:
-        pa.register_extension_type(_FallbackBlobType())  # type: ignore[arg-type]
-    except pa.ArrowKeyError as err:
-        raise ValueError(
-            "lance.blob.v2 is already registered by another extension class"
-        ) from err
-    _resolved_blob_type = _FallbackBlobType
-    return _resolved_blob_type
-
-
 def blob(name: str, nullable: bool = True) -> pa.Field:
-    """Create a Lance blob v2 column field.
-
-    When pylance is installed this is ``lance.blob.BlobType``.
-    """
-    blob_type = _resolve_blob_type()
-    return pa.field(name, blob_type(), nullable=nullable)
+    """Create a Lance blob v2 column field."""
+    return pa.field(name, BlobType(), nullable=nullable)
 
 
 def vector(dimension: int, value_type: pa.DataType = pa.float32()) -> pa.DataType:
@@ -214,11 +155,3 @@ def vector(dimension: int, value_type: pa.DataType = pa.float32()) -> pa.DataTyp
     ... ])
     """
     return pa.list_(value_type, dimension)
-
-
-def __getattr__(name: str):
-    if name == "BlobType":
-        blob_type = _resolve_blob_type()
-        globals()["BlobType"] = blob_type
-        return blob_type
-    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")