refactor(lsm): rename LSM stats to SSTable and table shard

Aligns the LSM stats surface with the MemWAL naming settled upstream in lance-format/lance#7943 and #7957, where the persisted unit became an SSTable. Two terms in this API predate that pass. **Generation -> SSTable.** A `GenerationStats` describes one flushed MemTable, which is an SSTable. The generation *number* is kept — an SSTable is identified by its generation — so only the noun moved. **Bucket -> table shard.** Each entry is one MemWAL shard. "Bucket" names only the hash sharding transform, so it was wrong for `identity` and `year` sharding, which produce shards and no buckets at all. | Before | After | |---|---| | `GenerationStats` | `SsTableStats` | | `BucketStats` | `TableShardStats` | | `LsmStats.buckets` | `LsmStats.table_shards` | | `BucketStats.generations` | `TableShardStats.sstables` | | `include_generation_rows` | `include_sstable_rows` | | `newest_generation` | `newest_sstable_generation` | | `outstanding_generations` | `outstanding_sstables` | Applied across Rust, Python, TypeScript, and Java, including the `get_lsm_stats` JSON field names. `LsmWriteSpec::Bucket` and `num_buckets` are unchanged — those name the sharding transform, not the shard. ## Compatibility Breaking for the MemWAL LSM stats API, which is experimental and paired with a server that renames the same fields. The JSON keys `table_shards` and `sstables` must roll out together with the WAL server change. ## Validation - `cargo check -p lancedb --all-features`, `cargo fmt --all` - `ruff format --check` and `ruff check` on the touched Python - `biome check` on the touched TypeScript The typedoc markdown under `docs/src/js` was updated by hand, not regenerated: `npm run docs` needs the napi-built `./native` types. Worth running `npm run docs` on this branch to confirm the generator agrees. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01HgVf5C2yRbwK6pe1aMYkmg
2026-09-11 15:52:17 +00:00 · 2026-08-27 15:18:13 -05:00
141 changed files with 13542 additions and 17163 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.39.0-beta.6"
+current_version = "0.38.0-beta.11"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -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:
-          - "*"
@@ -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.\
@@ -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
@@ -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: |
@@ -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
@@ -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
@@ -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:
@@ -0,0 +1,22 @@
+name: Update package-lock.json
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          ref: main
+          persist-credentials: false
+          fetch-depth: 0
+          lfs: true
+      - uses: ./.github/workflows/update_package_lock
+        with:
+          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
@@ -0,0 +1,22 @@
+name: Update NodeJs package-lock.json
+
+on:
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  publish:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          ref: main
+          persist-credentials: false
+          fetch-depth: 0
+          lfs: true
+      - uses: ./.github/workflows/update_package_lock_nodejs
+        with:
+          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
@@ -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/.*"
@@ -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

@@ -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.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "rand 0.9.5",
@@ -4886,8 +4815,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"

 [[package]]
 name = "lance"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -4959,8 +4888,8 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -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.15#271a155ba505fd8e1094c095d4ce356707e93866"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 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.15#271a155ba505fd8e1094c095d4ce356707e93866"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5005,8 +4934,8 @@ dependencies = [

 [[package]]
 name = "lance-bitpacking"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrayref",
 "crunchy",
@@ -5016,8 +4945,8 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5054,8 +4983,8 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -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.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5103,8 +5031,8 @@ dependencies = [

 [[package]]
 name = "lance-derive"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "proc-macro2",
 "quote",
@@ -5113,8 +5041,8 @@ dependencies = [

 [[package]]
 name = "lance-encoding"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5147,8 +5075,8 @@ dependencies = [

 [[package]]
 name = "lance-file"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5179,8 +5107,8 @@ dependencies = [

 [[package]]
 name = "lance-index"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -5244,8 +5172,8 @@ dependencies = [

 [[package]]
 name = "lance-index-core"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5267,8 +5195,8 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5308,8 +5236,8 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5323,29 +5251,27 @@ dependencies = [

 [[package]]
 name = "lance-namespace"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "async-trait",
 "bytes",
 "lance-core",
 "lance-namespace-reqwest-client",
- "serde",
- "serde_json",
 "snafu 0.9.0",
 ]

 [[package]]
 name = "lance-namespace-impls"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "arrow-ipc",
 "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.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5407,8 +5333,8 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5448,8 +5374,8 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5462,8 +5388,8 @@ dependencies = [

 [[package]]
 name = "lance-tokenizer"
-version = "12.0.0-beta.15"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.15#271a155ba505fd8e1094c095d4ce356707e93866"
+version = "12.0.0-beta.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.2#dafa4642658d996b3e31dde91e02f72db7860d7e"
 dependencies = [
 "frostem",
 "icu_segmenter",
@@ -5476,7 +5402,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.39.0-beta.6"
+version = "0.38.0-beta.11"
 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",
@@ -5553,13 +5477,11 @@ dependencies = [
 "serde_json",
 "serde_with",
 "serial_test",
- "sha2 0.10.9",
 "snafu 0.8.9",
 "tempfile",
 "test-log",
 "tokenizers",
 "tokio",
- "tonic",
 "url",
 "urlencoding",
 "uuid",
@@ -5568,7 +5490,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.39.0-beta.6"
+version = "0.38.0-beta.11"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5593,7 +5515,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.39.0-beta.6"
+version = "0.38.0-beta.11"
 dependencies = [
 "arrow",
 "async-trait",
@@ -5617,7 +5539,6 @@ dependencies = [
 "serde_json",
 "snafu 0.8.9",
 "tokio",
- "uuid",
 ]

 [[package]]
@@ -5827,9 +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"
@@ -5938,12 +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"
@@ -6086,9 +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",
@@ -6182,15 +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",
@@ -6202,15 +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",
@@ -6222,9 +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",
@@ -7819,7 +7733,6 @@ dependencies = [
 "pyo3-build-config",
 "pyo3-ffi",
 "pyo3-macros",
- "uuid",
 ]

 [[package]]
@@ -8688,9 +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",
@@ -9150,9 +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",
@@ -9160,7 +9073,6 @@ dependencies = [
 "hex",
 "indexmap 1.9.3",
 "indexmap 2.14.0",
- "jiff",
 "schemars 0.9.0",
 "schemars 1.2.1",
 "serde_core",
@@ -9171,9 +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",
@@ -10172,7 +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",
@@ -10184,11 +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",
@@ -10543,9 +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",
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=12.0.0-beta.15", default-features = false, "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=12.0.0-beta.15", default-features = false, "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=12.0.0-beta.15", default-features = false, "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=12.0.0-beta.15", "tag" = "v12.0.0-beta.15", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=12.0.0-beta.2", default-features = false, "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=12.0.0-beta.2", "tag" = "v12.0.0-beta.2", "git" = "https://github.com/lance-format/lance.git" }
 lancedb = { path = "rust/lancedb", default-features = false }
 ahash = "0.8"
 # Note that this one does not include pyarrow
@@ -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]
@@ -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
@@ -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
@@ -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]]
@@ -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
 ```
@@ -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
@@ -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
+    }
+  }
+}
@@ -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"
+  }
+}
@@ -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.6</version>
+    <version>0.38.0-beta.11</version>
 </dependency>
 ```

@@ -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
@@ -586,30 +648,6 @@ A page of table names and an

 ***

-### 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
@@ -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
@@ -74,10 +74,10 @@ now: the column is committed with no values, and rows get them from
 [Table#refreshColumn](Table.md#refreshcolumn). Declaring one therefore costs the same on a
 large table as on an empty one.

-A refresh also recomputes the rows whose inputs changed since they were
-computed, so a mutated input is reflected by the next refresh. While a
-declaration reads a column, that column cannot be renamed, retyped or
-dropped.
+A refresh does not revisit rows it has already filled, so mutating an
+input leaves the value computed at fill time; recomputing means dropping
+the column and declaring it again. While a declaration reads a column,
+that column cannot be renamed, retyped or dropped.

 On LanceDB Cloud and Enterprise the expression is planned by the
 server, and the refresh runs as a server job -- see
@@ -221,7 +221,7 @@ abstract checkpointLsm(): Promise<void>

 Converge this table's LSM write path into its base table.

-Seals once, then triggers compaction and polls until the L0 that existed
+Freezes once, then triggers compaction and polls until the SSTables that existed
 at the start is gone. The target set is fixed at the start, so
 generations created *during* the checkpoint are ignored — that is what
 lets it terminate under write load, and what makes it best-effort: it
@@ -289,7 +289,7 @@ It is a no-op when no writers are cached.
 abstract compactLsm(): Promise<void>
 ```

-Trigger a background L0 → base compaction pass per bucket.
+Trigger a background SSTable compaction pass per table shard.

 Returns once the passes are *dispatched*, not once they finish — watch
 [Table#getLsmStats](Table.md#getlsmstats) for progress, or use
@@ -505,7 +505,7 @@ Drop an index from the table.
 abstract flushLsm(): Promise<void>
 ```

-Seal every bucket's active memtable into a new L0 generation.
+Freeze every table shard's active memtable into a new SSTable.

 Returns once the seal is committed. Sealing an empty memtable is a no-op,
 so this is safe to call repeatedly.
@@ -519,10 +519,10 @@ so this is safe to call repeatedly.
 ### getLsmStats()

 ```ts
-abstract getLsmStats(includeGenerationRows?): Promise<undefined | LsmStats>
+abstract getLsmStats(includeSstableRows?): Promise<undefined | LsmStats>
 ```

-Read live per-bucket LSM state.
+Read live per-table-shard LSM state.

 Answers "how far behind is my fresh tier", "which bucket is hot", and
 "why is my fresh-tier vector search brute-force". Mutates no table state.
@@ -531,8 +531,8 @@ Resolves to `undefined` only when the LSM write path is not enabled.

 #### Parameters

-* **includeGenerationRows?**: `boolean`
-    Also count rows per L0 generation.
+* **includeSstableRows?**: `boolean`
+    Also count rows per SSTable.
    Off by default because each count opens an uncached Lance dataset.

 #### Returns
@@ -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

@@ -854,10 +846,10 @@ abstract refreshColumn(column): Promise<RefreshColumnResult>

 Fill the rows of a computed column that hold no value yet.

-Rows appended since the last refresh are filled by the next one, and
-rows whose inputs changed since they were computed are recomputed;
-everything else is left as it is. Local tables only: a remote refresh
-runs as a server job, through [Table#refreshColumnAsync](Table.md#refreshcolumnasync).
+Rows appended since the last refresh are filled by the next one; rows
+already filled are left as they are, so the call is idempotent and does
+not observe a mutated input. Local tables only: a remote refresh runs
+as a server job, through [Table#refreshColumnAsync](Table.md#refreshcolumnasync).

 #### Parameters

@@ -60,7 +60,6 @@
 - [BranchDiff](interfaces/BranchDiff.md)
 - [BranchIndexSummary](interfaces/BranchIndexSummary.md)
 - [BranchRowCountSummary](interfaces/BranchRowCountSummary.md)
- [BucketStats](interfaces/BucketStats.md)
 - [CherryPickError](interfaces/CherryPickError.md)
 - [CherryPickPreview](interfaces/CherryPickPreview.md)
 - [CherryPickResult](interfaces/CherryPickResult.md)
@@ -87,7 +86,6 @@
 - [FtsToken](interfaces/FtsToken.md)
 - [FullTextQuery](interfaces/FullTextQuery.md)
 - [FullTextSearchOptions](interfaces/FullTextSearchOptions.md)
- [GenerationStats](interfaces/GenerationStats.md)
 - [HnswPqOptions](interfaces/HnswPqOptions.md)
 - [HnswSqOptions](interfaces/HnswSqOptions.md)
 - [IndexConfig](interfaces/IndexConfig.md)
@@ -96,7 +94,7 @@
 - [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)
@@ -126,7 +124,9 @@
 - [SplitHashOptions](interfaces/SplitHashOptions.md)
 - [SplitRandomOptions](interfaces/SplitRandomOptions.md)
 - [SplitSequentialOptions](interfaces/SplitSequentialOptions.md)
+- [SsTableStats](interfaces/SsTableStats.md)
 - [TableNamesOptions](interfaces/TableNamesOptions.md)
+- [TableShardStats](interfaces/TableShardStats.md)
 - [TableStatistics](interfaces/TableStatistics.md)
 - [TimeoutConfig](interfaces/TimeoutConfig.md)
 - [TlsConfig](interfaces/TlsConfig.md)
@@ -1,40 +0,0 @@
-[**@lancedb/lancedb**](../README.md) • **Docs**
-
-***
-
-[@lancedb/lancedb](../globals.md) / GenerationStats
-
-# Interface: GenerationStats
-
-One flushed L0 generation.
-
-## Properties
-
-### bytes
-
-```ts
-bytes: number;
-```
-
-On-disk size of the generation.
-
-***
-
-### generation
-
-```ts
-generation: number;
-```
-
-The generation number. Increases as memtables are sealed into L0.
-
-***
-
-### rows?
-
-```ts
-optional rows: number;
-```
-
-Present only when `includeGenerationRows` was requested. Off by default
-because each count opens an uncached Lance dataset.
@@ -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".
@@ -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.
@@ -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.

 ***
@@ -6,17 +6,17 @@

 # Interface: LsmStats

-Live per-bucket LSM state, as returned by `Table#getLsmStats`.
+Live per-table-shard LSM state, as returned by `Table#getLsmStats`.

-Nothing here is derived: sums and differences (total L0 bytes, WAL lag) are
+Nothing here is derived: sums and differences (total SSTable bytes, WAL lag) are
 the caller's to compute.

 ## Properties

-### buckets
+### tableShards

 ```ts
-buckets: BucketStats[];
+tableShards: TableShardStats[];
 ```

-One entry per bucket backing this table.
+One entry per table shard backing this table.
@@ -50,16 +50,6 @@ projections: [string, string][];

 ***

-### sourceNamespace
-
-```ts
-sourceNamespace: string[];
-```
-
-Namespace holding the source table; empty is the root namespace.
-
-***
-
 ### sourceTable

 ```ts
@@ -0,0 +1,40 @@
+[**@lancedb/lancedb**](../README.md) • **Docs**
+
+***
+
+[@lancedb/lancedb](../globals.md) / SsTableStats
+
+# Interface: SsTableStats
+
+One SSTable.
+
+## Properties
+
+### bytes
+
+```ts
+bytes: number;
+```
+
+On-disk size of the SSTable.
+
+***
+
+### generation
+
+```ts
+generation: number;
+```
+
+The generation number. Increases as memtables are frozen into SSTables.
+
+***
+
+### rows?
+
+```ts
+optional rows: number;
+```
+
+Present only when `includeSstableRows` was requested. Off by default
+because each count opens an uncached Lance dataset.
@@ -2,12 +2,12 @@

 ***

-[@lancedb/lancedb](../globals.md) / BucketStats
+[@lancedb/lancedb](../globals.md) / TableShardStats

-# Interface: BucketStats
+# Interface: TableShardStats

-Live state of one bucket. A table is N buckets on one node; flattening to a
-single number hides the one hot bucket that is usually why someone opened
+Live state of one table shard. A table is N table shards on one node; flattening to a
+single number hides the one hot table shard that is usually why someone opened
 this endpoint.

 ## Properties
@@ -18,7 +18,7 @@ this endpoint.
 compacting: boolean;
 ```

-Whether a pass owns this bucket's compaction latch right now. Says *a*
+Whether a pass owns this table shard's compaction latch right now. Says *a*
 driver is running, not *whose*, and the latch is held from dispatch —
 including while the pass queues for a pod-wide compactor permit. Read it
 as "do not pile on", never as "mine is progressing".
@@ -35,13 +35,13 @@ The generation the active memtable will become.

 ***

-### generations
+### sstables

 ```ts
-generations: GenerationStats[];
+sstables: SsTableStats[];
 ```

-Flushed L0 generations not yet merged into the base table.
+SSTables not yet merged into the base table.

 ***

@@ -61,7 +61,7 @@ Version of the shard manifest these numbers were read from.
 optional memtables: MemtableStats[];
 ```

-Oldest first, active last. Absent for a `"Sealed"` bucket, whose
+Oldest first, active last. Absent for a `"Sealed"` table shard, whose
 in-memory state is torn down.

 ***
@@ -82,7 +82,7 @@ WAL position replay resumes from.
 shardId: string;
 ```

-The shard this bucket writes.
+The shard this table shard writes.

 ***

@@ -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
@@ -290,14 +223,10 @@ 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 +245,6 @@ still work. Queries return descriptors. Call

 ::: lancedb.exceptions.MissingColumnError

-::: lancedb.exceptions.JobNotFoundError
-
-::: lancedb.exceptions.JobFailedError
-
-::: lancedb.exceptions.JobCancelledError
-
 ## Integrations

 ## Pydantic
@@ -0,0 +1,17 @@
+{
+  "include": [
+    "src/*.ts",
+  ],
+  "compilerOptions": {
+    "target": "es2022",
+    "module": "nodenext",
+    "declaration": true,
+    "outDir": "./dist",
+    "strict": true,
+    "allowJs": true,
+    "resolveJsonModule": true,
+  },
+  "exclude": [
+    "./dist/*",
+  ]
+}
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.39.0-beta.6</version>
+      <version>0.38.0-beta.11</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

@@ -26,7 +26,7 @@ import java.util.OptionalLong;
 *
 * <p>Installing an {@link LsmWriteSpec} routes {@code mergeInsert} upserts through Lance's MemWAL —
 * an LSM-style append — instead of the standard merge path. Rows land in an in-memory memtable,
- * seal into L0 generations, and are merged into the base table by compaction.
+ * freeze into SSTables, and are merged into the base table by compaction.
 *
 * <p>These routes are not part of the Lance Namespace specification, so they are issued directly
 * rather than through {@link org.lance.namespace.LanceNamespace}.
@@ -38,7 +38,7 @@ import java.util.OptionalLong;
 *     .buildRestClient();
 *
 * LanceDbTableLsm lsm = new LanceDbTableLsm(client, "my_table");
- * lsm.setLsmWriteSpec(LsmWriteSpec.bucket("id", 16));
+ * lsm.setLsmWriteSpec(LsmWriteSpec.tableShard("id", 16));
 * // ... merge_insert traffic ...
 * lsm.checkpointLsm();
 * }</pre>
@@ -94,7 +94,7 @@ public class LanceDbTableLsm {
   * Install an {@link LsmWriteSpec} on this table, selecting the MemWAL LSM write path for future
   * {@code mergeInsert} calls.
   *
-   * <p>All variants require the table to have an unenforced primary key; bucket sharding
+   * <p>All variants require the table to have an unenforced primary key; tableShard sharding
   * additionally requires it to be the single column being bucketed.
   */
  public void setLsmWriteSpec(LsmWriteSpec spec) {
@@ -130,7 +130,7 @@ public class LanceDbTableLsm {
  }

  /**
-   * Seal every bucket's active memtable into a new L0 generation.
+   * Freeze every table shard's active memtable into a new SSTable.
   *
   * <p>Returns once the seal is committed. Sealing an empty memtable is a no-op, so this is safe to
   * call repeatedly.
@@ -140,7 +140,7 @@ public class LanceDbTableLsm {
  }

  /**
-   * Trigger a background L0 → base compaction pass per bucket.
+   * Trigger a background SSTable compaction pass per table shard.
   *
   * <p>Returns once the passes are <em>dispatched</em>, not once they finish — watch {@link
   * #getLsmStats}, or use {@link #checkpointLsm} to wait for convergence.
@@ -150,9 +150,9 @@ public class LanceDbTableLsm {
  }

  /**
-   * Read live per-bucket LSM state.
+   * Read live per-tableShard LSM state.
   *
-   * <p>Answers "how far behind is my fresh tier", "which bucket is hot", and "why is my fresh-tier
+   * <p>Answers "how far behind is my fresh tier", "which tableShard is hot", and "why is my fresh-tier
   * vector search brute-force". Mutates no table state.
   *
   * <p>Empty only when the LSM write path is not enabled — that is, when the server sends an absent
@@ -160,13 +160,13 @@ public class LanceDbTableLsm {
   * one throws rather than decoding to something empty, because {@link #checkpointLsm} reads
   * convergence out of these numbers and cannot tell a defaulted array from a drained one.
   *
-   * @param includeGenerationRows Also count rows per L0 generation. Off by default because each
+   * @param includeSstableRows Also count rows per SSTable. Off by default because each
   *     count opens an uncached Lance dataset.
   * @throws IllegalStateException if the response is absent or does not decode.
   */
-  public Optional<LsmStats> getLsmStats(boolean includeGenerationRows) {
+  public Optional<LsmStats> getLsmStats(boolean includeSstableRows) {
    Map<String, Object> body = new LinkedHashMap<String, Object>();
-    body.put("include_generation_rows", includeGenerationRows);
+    body.put("include_sstable_rows", includeSstableRows);
    JsonNode response = client.post(route("get_lsm_stats"), body);
    if (response == null) {
      throw new IllegalStateException("get_lsm_stats returned an empty response body");
@@ -186,8 +186,8 @@ public class LanceDbTableLsm {
  /**
   * Converge this table's LSM write path into its base table.
   *
-   * <p>Seals once, fixes a target watermark from the resulting L0, then triggers compaction and
-   * polls until that L0 is gone. The target set is fixed at the start, so generations created
+   * <p>Freezes once, fixes a target watermark from the resulting SSTables, then triggers compaction and
+   * polls until those SSTables are gone. The target set is fixed at the start, so sstables created
   * <em>during</em> the checkpoint are ignored — that is what lets it terminate under write load,
   * and what makes it best-effort: it converges the fresh tier as of some instant. Idempotent,
   * abandonable at any point, safe on a cadence.
@@ -204,7 +204,7 @@ public class LanceDbTableLsm {
    for (int reissue = 0; reissue <= MAX_REISSUES; reissue++) {
      // The seal turns everything written before this call into a generation, so the
      // watermark has to be read after it. Idempotent: sealing an empty memtable is a
-      // no-op, so a re-issue does not churn empty generations.
+      // no-op, so a re-issue does not churn empty sstables.
      if (issueVoid(this::flushLsm)) {
        backoff(reissue);
        continue;
@@ -220,7 +220,7 @@ public class LanceDbTableLsm {
        return;
      }

-      Map<String, Long> targets = newestGenerations(stats.value.get());
+      Map<String, Long> targets = newestSstableGenerations(stats.value.get());
      if (targets.isEmpty()) {
        return;
      }
@@ -236,7 +236,7 @@ public class LanceDbTableLsm {
  }

  /**
-   * Trigger and poll until no bucket holds a generation at or below its target.
+   * Trigger and poll until no tableShard holds a generation at or below its target.
   *
   * @return true when the drain finished, false when the table needs re-claiming from flush.
   */
@@ -250,21 +250,21 @@ public class LanceDbTableLsm {
        return true;
      }

-      // `compacting` is the bucket's compaction latch, held from dispatch until the pass
+      // `compacting` is the tableShard's compaction latch, held from dispatch until the pass
      // ends — including while it waits on a pod-wide permit. So it answers one question
      // only: do not pile on. Buckets with nothing outstanding are skipped, not counted
      // as idle.
      long outstanding = 0;
      boolean allCompacting = true;
-      for (BucketStats bucket : stats.value.get().buckets()) {
-        Long target = targets.get(bucket.shardId());
+      for (TableShardStats tableShard : stats.value.get().tableShards()) {
+        Long target = targets.get(tableShard.shardId());
        if (target == null) {
          continue;
        }
-        long remaining = bucket.outstandingGenerations(target);
+        long remaining = tableShard.outstandingSstables(target);
        if (remaining > 0) {
          outstanding += remaining;
-          allCompacting &= bucket.compacting();
+          allCompacting &= tableShard.compacting();
        }
      }
      if (outstanding == 0) {
@@ -281,7 +281,7 @@ public class LanceDbTableLsm {
          if (!isRetryable(e)) {
            throw e;
          }
-          // A 429 here means the server could latch no bucket at all, which the poll
+          // A 429 here means the server could latch no tableShard at all, which the poll
          // above already handles. Not retried in place: the latch it would contend for
          // is the one doing the work, so fall through and re-read — POLL_INTERVAL_MS is
          // the backoff.
@@ -291,13 +291,13 @@ public class LanceDbTableLsm {
    }
  }

-  /** The newest generation held by each bucket, skipping buckets holding none. */
-  private static Map<String, Long> newestGenerations(LsmStats stats) {
+  /** The newest generation held by each tableShard, skipping tableShards holding none. */
+  private static Map<String, Long> newestSstableGenerations(LsmStats stats) {
    Map<String, Long> targets = new HashMap<String, Long>();
-    for (BucketStats bucket : stats.buckets()) {
-      OptionalLong newest = bucket.newestGeneration();
+    for (TableShardStats tableShard : stats.tableShards()) {
+      OptionalLong newest = tableShard.newestSstableGeneration();
      if (newest.isPresent()) {
-        targets.put(bucket.shardId(), newest.getAsLong());
+        targets.put(tableShard.shardId(), newest.getAsLong());
      }
    }
    return targets;
@@ -20,37 +20,37 @@ import java.util.Collections;
 import java.util.List;

 /**
- * Live per-bucket LSM state, as returned by {@link LanceDbTableLsm#getLsmStats()}.
+ * Live per-tableShard LSM state, as returned by {@link LanceDbTableLsm#getLsmStats()}.
 *
- * <p>Nothing here is derived: sums and differences (total L0 bytes, WAL lag) are the caller's to
+ * <p>Nothing here is derived: sums and differences (total SSTable bytes, WAL lag) are the caller's to
 * compute. There is no "LSM is off" shape — that case is an empty {@link java.util.Optional},
 * because a stats object of zeros would read as measurements.
 */
 public class LsmStats {
  private static final String CONTEXT = "lsm stats";

-  private final List<BucketStats> buckets;
+  private final List<TableShardStats> tableShards;

-  LsmStats(List<BucketStats> buckets) {
-    this.buckets = Collections.unmodifiableList(buckets);
+  LsmStats(List<TableShardStats> tableShards) {
+    this.tableShards = Collections.unmodifiableList(tableShards);
  }

-  /** One entry per bucket. */
-  public List<BucketStats> buckets() {
-    return buckets;
+  /** One entry per tableShard. */
+  public List<TableShardStats> tableShards() {
+    return tableShards;
  }

  static LsmStats fromJson(JsonNode node) {
    JsonFields.requiredObject(node, CONTEXT);
-    List<BucketStats> buckets = new ArrayList<BucketStats>();
-    for (JsonNode bucket : JsonFields.requiredArray(node, "buckets", CONTEXT)) {
-      buckets.add(BucketStats.fromJson(bucket));
+    List<TableShardStats> tableShards = new ArrayList<TableShardStats>();
+    for (JsonNode tableShard : JsonFields.requiredArray(node, "table_shards", CONTEXT)) {
+      tableShards.add(TableShardStats.fromJson(tableShard));
    }
-    return new LsmStats(buckets);
+    return new LsmStats(tableShards);
  }

  @Override
  public String toString() {
-    return "LsmStats{buckets=" + buckets + "}";
+    return "LsmStats{tableShards=" + tableShards + "}";
  }
 }
@@ -17,21 +17,21 @@ import com.fasterxml.jackson.databind.JsonNode;

 import java.util.OptionalLong;

-/** One flushed L0 generation. */
-public class GenerationStats {
+/** One SSTable. */
+public class SsTableStats {
  private static final String CONTEXT = "generation stats";

  private final long generation;
  private final long bytes;
  private final Long rows;

-  GenerationStats(long generation, long bytes, Long rows) {
+  SsTableStats(long generation, long bytes, Long rows) {
    this.generation = generation;
    this.bytes = bytes;
    this.rows = rows;
  }

-  /** The generation number. Increases as memtables are sealed into L0. */
+  /** The generation number. Increases as memtables are frozen into SSTables. */
  public long generation() {
    return generation;
  }
@@ -42,16 +42,16 @@ public class GenerationStats {
  }

  /**
-   * Rows in this generation, present only when {@code includeGenerationRows} was requested. Off by
+   * Rows in this generation, present only when {@code includeSstableRows} was requested. Off by
   * default because each count opens an uncached Lance dataset.
   */
  public OptionalLong rows() {
    return rows == null ? OptionalLong.empty() : OptionalLong.of(rows);
  }

-  static GenerationStats fromJson(JsonNode node) {
+  static SsTableStats fromJson(JsonNode node) {
    JsonFields.requiredObject(node, CONTEXT);
-    return new GenerationStats(
+    return new SsTableStats(
        JsonFields.requiredLong(node, "generation", CONTEXT),
        JsonFields.requiredLong(node, "bytes", CONTEXT),
        JsonFields.optionalLong(node, "rows", CONTEXT));
@@ -59,6 +59,6 @@ public class GenerationStats {

  @Override
  public String toString() {
-    return "GenerationStats{generation=" + generation + ", bytes=" + bytes + ", rows=" + rows + "}";
+    return "SsTableStats{generation=" + generation + ", bytes=" + bytes + ", rows=" + rows + "}";
  }
 }
@@ -22,11 +22,11 @@ import java.util.Optional;
 import java.util.OptionalLong;

 /**
- * Live state of one bucket. A table is N buckets on one node; flattening to a single number hides
- * the one hot bucket that is usually why someone opened this endpoint.
+ * Live state of one tableShard. A table is N tableShards on one node; flattening to a single number hides
+ * the one hot tableShard that is usually why someone opened this endpoint.
 */
-public class BucketStats {
-  private static final String CONTEXT = "bucket stats";
+public class TableShardStats {
+  private static final String CONTEXT = "tableShard stats";

  private final String shardId;
  private final String status;
@@ -35,11 +35,11 @@ public class BucketStats {
  private final long currentGeneration;
  private final long replayAfterWalEntryPosition;
  private final long walEntryPositionLastSeen;
-  private final List<GenerationStats> generations;
+  private final List<SsTableStats> sstables;
  private final boolean compacting;
  private final List<MemtableStats> memtables;

-  BucketStats(
+  TableShardStats(
      String shardId,
      String status,
      long writerEpoch,
@@ -47,7 +47,7 @@ public class BucketStats {
      long currentGeneration,
      long replayAfterWalEntryPosition,
      long walEntryPositionLastSeen,
-      List<GenerationStats> generations,
+      List<SsTableStats> sstables,
      boolean compacting,
      List<MemtableStats> memtables) {
    this.shardId = shardId;
@@ -57,12 +57,12 @@ public class BucketStats {
    this.currentGeneration = currentGeneration;
    this.replayAfterWalEntryPosition = replayAfterWalEntryPosition;
    this.walEntryPositionLastSeen = walEntryPositionLastSeen;
-    this.generations = Collections.unmodifiableList(generations);
+    this.sstables = Collections.unmodifiableList(sstables);
    this.compacting = compacting;
    this.memtables = memtables == null ? null : Collections.unmodifiableList(memtables);
  }

-  /** The shard this bucket writes. */
+  /** The shard this tableShard writes. */
  public String shardId() {
    return shardId;
  }
@@ -100,13 +100,13 @@ public class BucketStats {
    return walEntryPositionLastSeen;
  }

-  /** Flushed L0 generations not yet merged into the base table. */
-  public List<GenerationStats> generations() {
-    return generations;
+  /** SSTables not yet merged into the base table. */
+  public List<SsTableStats> sstables() {
+    return sstables;
  }

  /**
-   * Whether a pass owns this bucket's compaction latch right now. Says <em>a</em> driver is
+   * Whether a pass owns this tableShard's compaction latch right now. Says <em>a</em> driver is
   * running, not <em>whose</em>, and the latch is held from dispatch — including while the pass
   * queues for a pod-wide compactor permit. Read it as "do not pile on", never as "mine is
   * progressing".
@@ -115,15 +115,15 @@ public class BucketStats {
    return compacting;
  }

-  /** Oldest first, active last. Empty for a {@code "Sealed"} bucket, whose state is torn down. */
+  /** Oldest first, active last. Empty for a {@code "Sealed"} tableShard, whose state is torn down. */
  public Optional<List<MemtableStats>> memtables() {
    return Optional.ofNullable(memtables);
  }

-  /** The newest flushed generation, or empty when L0 is empty. */
-  OptionalLong newestGeneration() {
+  /** The newest SSTable generation, or empty when the tier is empty. */
+  OptionalLong newestSstableGeneration() {
    OptionalLong newest = OptionalLong.empty();
-    for (GenerationStats generation : generations) {
+    for (SsTableStats generation : sstables) {
      if (!newest.isPresent() || generation.generation() > newest.getAsLong()) {
        newest = OptionalLong.of(generation.generation());
      }
@@ -132,15 +132,15 @@ public class BucketStats {
  }

  /**
-   * How many generations at or below {@code target} are still in L0.
+   * How many SSTables at or below {@code target} are still uncompacted.
   *
   * <p>A count, not a boolean: one pass drains a bounded prefix rather than the whole target set,
   * so a boolean would read as "no progress" for every pass but the last. Compaction drains
   * oldest-first, so this decreases monotonically.
   */
-  long outstandingGenerations(long target) {
+  long outstandingSstables(long target) {
    long count = 0;
-    for (GenerationStats generation : generations) {
+    for (SsTableStats generation : sstables) {
      if (generation.generation() <= target) {
        count++;
      }
@@ -148,11 +148,11 @@ public class BucketStats {
    return count;
  }

-  static BucketStats fromJson(JsonNode node) {
+  static TableShardStats fromJson(JsonNode node) {
    JsonFields.requiredObject(node, CONTEXT);
-    List<GenerationStats> generations = new ArrayList<GenerationStats>();
-    for (JsonNode generation : JsonFields.requiredArray(node, "generations", CONTEXT)) {
-      generations.add(GenerationStats.fromJson(generation));
+    List<SsTableStats> sstables = new ArrayList<SsTableStats>();
+    for (JsonNode generation : JsonFields.requiredArray(node, "sstables", CONTEXT)) {
+      sstables.add(SsTableStats.fromJson(generation));
    }

    JsonNode memtablesNode = JsonFields.optionalArray(node, "memtables", CONTEXT);
@@ -164,7 +164,7 @@ public class BucketStats {
      }
    }

-    return new BucketStats(
+    return new TableShardStats(
        JsonFields.requiredText(node, "shard_id", CONTEXT),
        JsonFields.requiredText(node, "status", CONTEXT),
        JsonFields.requiredLong(node, "writer_epoch", CONTEXT),
@@ -172,21 +172,21 @@ public class BucketStats {
        JsonFields.requiredLong(node, "current_generation", CONTEXT),
        JsonFields.requiredLong(node, "replay_after_wal_entry_position", CONTEXT),
        JsonFields.requiredLong(node, "wal_entry_position_last_seen", CONTEXT),
-        generations,
+        sstables,
        JsonFields.requiredBoolean(node, "compacting", CONTEXT),
        memtables);
  }

  @Override
  public String toString() {
-    return "BucketStats{shardId="
+    return "TableShardStats{shardId="
        + shardId
        + ", status="
        + status
        + ", currentGeneration="
        + currentGeneration
-        + ", generations="
-        + generations
+        + ", sstables="
+        + sstables
        + ", compacting="
        + compacting
        + "}";
@@ -132,10 +132,10 @@ public class LanceDbTableLsmTest {
    enqueue("set_lsm_write_spec", 200, "");

    lsm.setLsmWriteSpec(
-        LsmWriteSpec.bucket("id", 16).withMaintainedIndexes(Arrays.asList("id_idx")));
+        LsmWriteSpec.tableShard("id", 16).withMaintainedIndexes(Arrays.asList("id_idx")));

    JsonNode body = MAPPER.readTree(requestBodies.get(0));
-    assertEquals("bucket", body.get("sharding").get("mode").asText());
+    assertEquals("tableShard", body.get("sharding").get("mode").asText());
    assertEquals("id", body.get("sharding").get("column").asText());
    assertEquals(16, body.get("sharding").get("num_buckets").asInt());
    assertEquals(1, body.get("maintained_indexes").size());
@@ -201,7 +201,7 @@ public class LanceDbTableLsmTest {
    enqueue(
        "get_lsm_write_spec",
        200,
-        "{\"lsm_write_spec\":{\"sharding\":{\"mode\":\"bucket\",\"column\":\"id\","
+        "{\"lsm_write_spec\":{\"sharding\":{\"mode\":\"tableShard\",\"column\":\"id\","
            + "\"num_buckets\":16},\"maintained_indexes\":[\"id_idx\"],"
            + "\"writer_config_defaults\":{\"durable_write\":\"true\"}}}");

@@ -228,14 +228,14 @@ public class LanceDbTableLsmTest {

  @Test
  public void testGetLsmStats() throws Exception {
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false, 7L, 8L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false, 7L, 8L)));

    Optional<LsmStats> got = lsm.getLsmStats(true);

    assertEquals("/v1/table/my_table/get_lsm_stats/", requestPaths.get(0));
-    assertTrue(MAPPER.readTree(requestBodies.get(0)).get("include_generation_rows").asBoolean());
+    assertTrue(MAPPER.readTree(requestBodies.get(0)).get("include_sstable_rows").asBoolean());
    assertTrue(got.isPresent());
-    BucketStats decoded = got.get().buckets().get(0);
+    TableShardStats decoded = got.get().tableShards().get(0);
    assertEquals("shard-0", decoded.shardId());
    assertEquals("Active", decoded.status());
    assertEquals(1, decoded.writerEpoch());
@@ -243,8 +243,8 @@ public class LanceDbTableLsmTest {
    assertEquals(9, decoded.currentGeneration());
    assertFalse(decoded.compacting());
    assertEquals(Arrays.asList(7L, 8L), generationNumbers(decoded));
-    assertEquals(1024, decoded.generations().get(0).bytes());
-    assertFalse(decoded.generations().get(0).rows().isPresent(), "rows absent unless requested");
+    assertEquals(1024, decoded.sstables().get(0).bytes());
+    assertFalse(decoded.sstables().get(0).rows().isPresent(), "rows absent unless requested");
    assertFalse(decoded.memtables().isPresent(), "absent memtables stay absent");
  }

@@ -254,19 +254,19 @@ public class LanceDbTableLsmTest {
    enqueue(
        "get_lsm_stats",
        200,
-        "{\"lsm_stats\":{\"buckets\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
+        "{\"lsm_stats\":{\"tableShards\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
            + "\"writer_epoch\":1,\"manifest_version\":2,\"current_generation\":9,"
            + "\"replay_after_wal_entry_position\":3,\"wal_entry_position_last_seen\":11,"
-            + "\"generations\":[{\"generation\":7,\"bytes\":1024,\"rows\":42}],"
+            + "\"sstables\":[{\"generation\":7,\"bytes\":1024,\"rows\":42}],"
            + "\"compacting\":true,\"memtables\":[{\"generation\":8,\"rows\":5,"
            + "\"bytes\":64,\"batches\":2,\"indexes\":[\"id_idx\"]}]}]}}");

-    BucketStats decoded = lsm.getLsmStats(true).get().buckets().get(0);
+    TableShardStats decoded = lsm.getLsmStats(true).get().tableShards().get(0);

    assertEquals(3, decoded.replayAfterWalEntryPosition());
    assertEquals(11, decoded.walEntryPositionLastSeen());
    assertTrue(decoded.compacting());
-    assertEquals(42, decoded.generations().get(0).rows().getAsLong());
+    assertEquals(42, decoded.sstables().get(0).rows().getAsLong());
    assertTrue(decoded.memtables().isPresent());
    MemtableStats memtable = decoded.memtables().get().get(0);
    assertEquals(8, memtable.generation());
@@ -289,7 +289,7 @@ public class LanceDbTableLsmTest {

    lsm.getLsmStats();

-    assertFalse(MAPPER.readTree(requestBodies.get(0)).get("include_generation_rows").asBoolean());
+    assertFalse(MAPPER.readTree(requestBodies.get(0)).get("include_sstable_rows").asBoolean());
  }

  // ===========================================================================
@@ -334,8 +334,8 @@ public class LanceDbTableLsmTest {
  @Test
  public void testCheckpointReturnsWhenNoGenerationsOutstanding() {
    enqueue("flush_lsm", 200, "");
-    // A bucket with no L0 generations yields no target, so the drain never starts.
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false)));
+    // A table shard with no SSTables yields no target, so the drain never starts.
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false)));

    lsm.checkpointLsm();

@@ -345,12 +345,12 @@ public class LanceDbTableLsmTest {
  @Test
  public void testCheckpointConvergesOnceTargetGenerationsAreGone() {
    enqueue("flush_lsm", 200, "");
-    // Watermark read: shard-0 holds generations 7 and 8, so target = 8.
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false, 7L, 8L)));
+    // Watermark read: shard-0 holds sstables 7 and 8, so target = 8.
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false, 7L, 8L)));
    // First drain poll: both still outstanding, nothing compacting -> dispatch a pass.
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false, 7L, 8L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false, 7L, 8L)));
    // Second drain poll: drained past the target -> done.
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false, 9L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false, 9L)));
    enqueue("compact_lsm", 200, "");

    lsm.checkpointLsm();
@@ -362,14 +362,14 @@ public class LanceDbTableLsmTest {
  @Test
  public void testCheckpointDoesNotPileOnWhileEveryTargetBucketIsCompacting() {
    enqueue("flush_lsm", 200, "");
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", true, 4L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", true, 4L)));
    // Still compacting on the first poll, so no pass is dispatched; then it drains.
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", true, 4L)));
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false, 5L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", true, 4L)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false, 5L)));

    lsm.checkpointLsm();

-    assertEquals(0, countCalls("compact_lsm"), "a latched bucket is left alone");
+    assertEquals(0, countCalls("compact_lsm"), "a latched tableShard is left alone");
  }

  @Test
@@ -378,7 +378,7 @@ public class LanceDbTableLsmTest {
    // from flush rather than retrying the read in place.
    enqueue("flush_lsm", 200, "");
    enqueue("get_lsm_stats", 421, "no claim");
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false)));

    lsm.checkpointLsm();

@@ -389,7 +389,7 @@ public class LanceDbTableLsmTest {
  public void testCheckpointRetriesRetryableStatusInPlace() {
    enqueue("flush_lsm", 429, "latch held");
    enqueue("flush_lsm", 200, "");
-    enqueue("get_lsm_stats", 200, stats(bucket("shard-0", false)));
+    enqueue("get_lsm_stats", 200, stats(tableShard("shard-0", false)));

    lsm.checkpointLsm();

@@ -421,27 +421,27 @@ public class LanceDbTableLsmTest {

  /**
   * A stats payload that does not decode must fail closed. Every one of these bodies used to be
-   * read as "no buckets", which is indistinguishable from a drained table, so {@code checkpointLsm}
+   * read as "no tableShards", which is indistinguishable from a drained table, so {@code checkpointLsm}
   * reported convergence for a checkpoint that never ran.
   */
  @Test
  public void testCheckpointRejectsMalformedStats() {
    Map<String, String> malformed = new LinkedHashMap<String, String>();
    malformed.put("no response body at all", "");
-    malformed.put("stats object with no buckets", "{\"lsm_stats\":{}}");
-    malformed.put("bucket missing its required fields", "{\"lsm_stats\":{\"buckets\":[{}]}}");
+    malformed.put("stats object with no tableShards", "{\"lsm_stats\":{}}");
+    malformed.put("tableShard missing its required fields", "{\"lsm_stats\":{\"tableShards\":[{}]}}");
    malformed.put(
-        "bucket missing generations",
-        "{\"lsm_stats\":{\"buckets\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
+        "tableShard missing sstables",
+        "{\"lsm_stats\":{\"tableShards\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
            + "\"writer_epoch\":1,\"manifest_version\":2,\"current_generation\":9,"
            + "\"replay_after_wal_entry_position\":0,\"wal_entry_position_last_seen\":0,"
            + "\"compacting\":false}]}}");
    malformed.put(
        "generation with a non-numeric generation number",
-        "{\"lsm_stats\":{\"buckets\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
+        "{\"lsm_stats\":{\"tableShards\":[{\"shard_id\":\"shard-0\",\"status\":\"Active\","
            + "\"writer_epoch\":1,\"manifest_version\":2,\"current_generation\":9,"
            + "\"replay_after_wal_entry_position\":0,\"wal_entry_position_last_seen\":0,"
-            + "\"generations\":[{\"generation\":\"7\",\"bytes\":1024}],"
+            + "\"sstables\":[{\"generation\":\"7\",\"bytes\":1024}],"
            + "\"compacting\":false}]}}");

    for (Map.Entry<String, String> each : malformed.entrySet()) {
@@ -492,22 +492,22 @@ public class LanceDbTableLsmTest {
  // harness
  // ===========================================================================

-  private static List<Long> generationNumbers(BucketStats bucket) {
+  private static List<Long> generationNumbers(TableShardStats tableShard) {
    List<Long> numbers = new ArrayList<Long>();
-    for (GenerationStats generation : bucket.generations()) {
+    for (SsTableStats generation : tableShard.sstables()) {
      numbers.add(generation.generation());
    }
    return numbers;
  }

-  /** Build an {@code lsm_stats} response body from bucket fragments. */
-  private static String stats(String... buckets) {
-    return "{\"lsm_stats\":{\"buckets\":[" + String.join(",", buckets) + "]}}";
+  /** Build an {@code lsm_stats} response body from tableShard fragments. */
+  private static String stats(String... tableShards) {
+    return "{\"lsm_stats\":{\"tableShards\":[" + String.join(",", tableShards) + "]}}";
  }

-  private static String bucket(String shardId, boolean compacting, Long... generations) {
+  private static String tableShard(String shardId, boolean compacting, Long... sstables) {
    StringBuilder gens = new StringBuilder();
-    for (Long generation : generations) {
+    for (Long generation : sstables) {
      if (gens.length() > 0) {
        gens.append(",");
      }
@@ -517,7 +517,7 @@ public class LanceDbTableLsmTest {
        + shardId
        + "\",\"status\":\"Active\",\"writer_epoch\":1,\"manifest_version\":2,"
        + "\"current_generation\":9,\"replay_after_wal_entry_position\":0,"
-        + "\"wal_entry_position_last_seen\":0,\"generations\":["
+        + "\"wal_entry_position_last_seen\":0,\"sstables\":["
        + gens
        + "],\"compacting\":"
        + compacting
@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.39.0-beta.6</version>
+    <version>0.38.0-beta.11</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>12.0.0-beta.15</lance-core.version>
+        <lance-core.version>12.0.0-beta.2</lance-core.version>
        <spotless.skip>false</spotless.skip>
        <spotless.version>2.30.0</spotless.version>
        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.39.0-beta.6"
+version = "0.38.0-beta.11"
 publish = false
 license.workspace = true
 description.workspace = true
@@ -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)"]],
@@ -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,
    });
@@ -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");
      },
@@ -281,7 +281,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        numIndices: 0,
        numRows: 3,
        // Full on-disk size of the two data files, footers and metadata included.
-        totalBytes: 550,
+        totalBytes: 684,
      });

      // Index files count toward totalBytes too (only deletion files and
@@ -289,7 +289,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      await table.createIndex("id", { config: Index.btree() });
      const statsWithIndex = await table.stats();
      expect(statsWithIndex.numIndices).toBe(1);
-      expect(statsWithIndex.totalBytes).toBeGreaterThan(550);
+      expect(statsWithIndex.totalBytes).toBeGreaterThan(684);
    });

    it("should overwrite data if asked", async () => {
@@ -737,12 +737,11 @@ it("should query documents with LangChain PDF metadata", async () => {

 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 +779,6 @@ 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" },
@@ -8,8 +8,7 @@
    "//1": "--experimental-vm-modules is needed to run jest with sentence-transformers",
    "//2": "--testEnvironment is needed to run jest with sentence-transformers",
    "//3": "See: https://github.com/huggingface/transformers.js/issues/57",
-    "//4": "jest is invoked by its JS entry, not node_modules/.bin/jest: under pnpm that path is a shell shim, which `node` cannot execute",
-    "test": "node --experimental-vm-modules node_modules/jest/bin/jest.js --testEnvironment jest-environment-node-single-context --verbose",
+    "test": "node --experimental-vm-modules node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose",
    "lint": "biome check *.ts && biome format *.ts",
    "lint-ci": "biome ci .",
    "lint-fix": "biome check --write *.ts && pnpm format",
@@ -1,6 +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,
@@ -27,6 +27,8 @@ import type {
  CreateNamespaceResponse,
  DescribeNamespaceResponse,
  DropNamespaceResponse,
+  Job,
+  JobDescription,
  JobInfo,
  ListNamespacesResponse,
  ListTablesResponse,
@@ -555,19 +557,24 @@ 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 +582,13 @@ 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 */
@@ -855,7 +869,7 @@ 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 +928,29 @@ 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);
+  }
 }

 /**
@@ -94,9 +94,13 @@ export {
  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,
@@ -153,8 +157,8 @@ export {
  TokenizeTableOptions,
  LsmWriteSpec,
  LsmStats,
-  BucketStats,
-  GenerationStats,
+  TableShardStats,
+  SsTableStats,
  MemtableStats,
  ColumnAlteration,
  FieldMetadataUpdate,
@@ -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);
-}
@@ -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 ?? [],
  };
 }

@@ -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,
@@ -55,8 +55,8 @@ import { sanitizeType } from "./sanitize";
 import { IntoSql, toSQL } from "./util";
 export { IndexConfig } from "./native";
 export {
-  BucketStats,
-  GenerationStats,
+  TableShardStats,
+  SsTableStats,
  LsmStats,
  MemtableStats,
 } from "./native";
@@ -542,10 +542,10 @@ export abstract class Table {
   * {@link Table#refreshColumn}. Declaring one therefore costs the same on a
   * large table as on an empty one.
   *
-   * A refresh also recomputes the rows whose inputs changed since they were
-   * computed, so a mutated input is reflected by the next refresh. While a
-   * declaration reads a column, that column cannot be renamed, retyped or
-   * dropped.
+   * A refresh does not revisit rows it has already filled, so mutating an
+   * input leaves the value computed at fill time; recomputing means dropping
+   * the column and declaring it again. While a declaration reads a column,
+   * that column cannot be renamed, retyped or dropped.
   *
   * On LanceDB Cloud and Enterprise the expression is planned by the
   * server, and the refresh runs as a server job -- see
@@ -576,10 +576,10 @@ export abstract class Table {
  /**
   * Fill the rows of a computed column that hold no value yet.
   *
-   * Rows appended since the last refresh are filled by the next one, and
-   * rows whose inputs changed since they were computed are recomputed;
-   * everything else is left as it is. Local tables only: a remote refresh
-   * runs as a server job, through {@link Table#refreshColumnAsync}.
+   * Rows appended since the last refresh are filled by the next one; rows
+   * already filled are left as they are, so the call is idempotent and does
+   * not observe a mutated input. Local tables only: a remote refresh runs
+   * as a server job, through {@link Table#refreshColumnAsync}.
   * @param {string} column The name of the computed column to fill.
   * @returns {Promise<RefreshColumnResult>} A promise that resolves to the
   * number of rows filled and the new version number of the table.
@@ -741,7 +741,7 @@ export abstract class Table {
   */
  abstract closeLsmWriters(): Promise<void>;
  /**
-   * Seal every bucket's active memtable into a new L0 generation.
+   * Freeze every table shard's active memtable into a new SSTable.
   *
   * Returns once the seal is committed. Sealing an empty memtable is a no-op,
   * so this is safe to call repeatedly.
@@ -749,7 +749,7 @@ export abstract class Table {
   */
  abstract flushLsm(): Promise<void>;
  /**
-   * Trigger a background L0 → base compaction pass per bucket.
+   * Trigger a background SSTable compaction pass per table shard.
   *
   * Returns once the passes are *dispatched*, not once they finish — watch
   * {@link Table#getLsmStats} for progress, or use
@@ -760,9 +760,9 @@ export abstract class Table {
  /**
   * Converge this table's LSM write path into its base table.
   *
-   * Seals once, then triggers compaction and polls until the L0 that existed
+   * Freezes once, then triggers compaction and polls until the SSTables that existed
   * at the start is gone. The target set is fixed at the start, so
-   * generations created *during* the checkpoint are ignored — that is what
+   * SSTables created *during* the checkpoint are ignored — that is what
   * lets it terminate under write load, and what makes it best-effort: it
   * converges the fresh tier as of some instant. Idempotent, abandonable at
   * any point, and safe to run on a cadence.
@@ -786,12 +786,12 @@ export abstract class Table {
   * "why is my fresh-tier vector search brute-force". Mutates no table state.
   *
   * Resolves to `undefined` only when the LSM write path is not enabled.
-   * @param {boolean} includeGenerationRows Also count rows per L0 generation.
+   * @param {boolean} includeSstableRows Also count rows per SSTable.
   *   Off by default because each count opens an uncached Lance dataset.
   * @returns {Promise<LsmStats | undefined>}
   */
  abstract getLsmStats(
-    includeGenerationRows?: boolean,
+    includeSstableRows?: boolean,
  ): Promise<LsmStats | undefined>;
  /** Retrieve the version of the table */

@@ -919,16 +919,6 @@ 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
@@ -1124,15 +1114,13 @@ 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,
    );
  }

@@ -1315,7 +1303,7 @@ 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(
@@ -1400,9 +1388,9 @@ export class LocalTable extends Table {
  }

  async getLsmStats(
-    includeGenerationRows: boolean = false,
+    includeSstableRows: boolean = false,
  ): Promise<LsmStats | undefined> {
-    return (await this.inner.getLsmStats(includeGenerationRows)) ?? undefined;
+    return (await this.inner.getLsmStats(includeSstableRows)) ?? undefined;
  }

  async version(): Promise<number> {
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.39.0-beta.6",
+  "version": "0.38.0-beta.11",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.39.0-beta.6",
+	"version": "0.38.0-beta.11",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.39.0-beta.6",
+  "version": "0.38.0-beta.11",
  "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": {
@@ -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
@@ -442,15 +442,13 @@ 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 +459,17 @@ 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 +477,34 @@ 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(
@@ -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,
+            }),
+        }
+    }
+}
@@ -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;
@@ -542,11 +542,11 @@ impl Table {
    #[napi(catch_unwind)]
    pub async fn get_lsm_stats(
        &self,
-        include_generation_rows: bool,
+        include_sstable_rows: bool,
    ) -> napi::Result<Option<LsmStats>> {
        let stats = self
            .inner_ref()?
-            .get_lsm_stats(include_generation_rows)
+            .get_lsm_stats(include_sstable_rows)
            .await
            .default_error()?;
        Ok(stats.map(LsmStats::from))
@@ -950,21 +950,21 @@ impl From<lancedb::table::LsmWriteSpec> for LsmWriteSpec {
    }
 }

-/// One flushed L0 generation.
+/// One SSTable.
 #[napi(object)]
 #[derive(Clone, Debug)]
-pub struct GenerationStats {
-    /// The generation number. Increases as memtables are sealed into L0.
+pub struct SsTableStats {
+    /// The generation number. Increases as memtables are frozen into SSTables.
    pub generation: i64,
-    /// On-disk size of the generation.
+    /// On-disk size of the SSTable.
    pub bytes: i64,
-    /// Present only when `includeGenerationRows` was requested. Off by default
+    /// Present only when `includeSstableRows` was requested. Off by default
    /// because each count opens an uncached Lance dataset.
    pub rows: Option<i64>,
 }

-impl From<lancedb::table::GenerationStats> for GenerationStats {
-    fn from(g: lancedb::table::GenerationStats) -> Self {
+impl From<lancedb::table::SsTableStats> for SsTableStats {
+    fn from(g: lancedb::table::SsTableStats) -> Self {
        Self {
            generation: g.generation as i64,
            bytes: g.bytes as i64,
@@ -977,7 +977,7 @@ impl From<lancedb::table::GenerationStats> for GenerationStats {
 #[napi(object)]
 #[derive(Clone, Debug)]
 pub struct MemtableStats {
-    /// The generation this memtable will become once sealed.
+    /// The generation this memtable will become once frozen.
    pub generation: i64,
    /// Rows currently buffered.
    pub rows: i64,
@@ -1002,13 +1002,13 @@ impl From<lancedb::table::MemtableStats> for MemtableStats {
    }
 }

-/// Live state of one bucket. A table is N buckets on one node; flattening to a
-/// single number hides the one hot bucket that is usually why someone opened
+/// Live state of one table shard. A table is N table shards on one node; flattening to a
+/// single number hides the one hot table shard that is usually why someone opened
 /// this endpoint.
 #[napi(object)]
 #[derive(Clone, Debug)]
-pub struct BucketStats {
-    /// The shard this bucket writes.
+pub struct TableShardStats {
+    /// The shard this table shard writes.
    pub shard_id: String,
    /// `"Active"` or `"Sealed"` (drop-table 2PC in flight).
    pub status: String,
@@ -1023,20 +1023,20 @@ pub struct BucketStats {
    /// Highest WAL position the writer has seen. The difference against
    /// `replayAfterWalEntryPosition` is the WAL lag.
    pub wal_entry_position_last_seen: i64,
-    /// Flushed L0 generations not yet merged into the base table.
-    pub generations: Vec<GenerationStats>,
-    /// Whether a pass owns this bucket's compaction latch right now. Says *a*
+    /// SSTables not yet merged into the base table.
+    pub sstables: Vec<SsTableStats>,
+    /// Whether a pass owns this table shard's compaction latch right now. Says *a*
    /// driver is running, not *whose*, and the latch is held from dispatch —
    /// including while the pass queues for a pod-wide compactor permit. Read it
    /// as "do not pile on", never as "mine is progressing".
    pub compacting: bool,
-    /// Oldest first, active last. Absent for a `"Sealed"` bucket, whose
+    /// Oldest first, active last. Absent for a `"Sealed"` table shard, whose
    /// in-memory state is torn down.
    pub memtables: Option<Vec<MemtableStats>>,
 }

-impl From<lancedb::table::BucketStats> for BucketStats {
-    fn from(b: lancedb::table::BucketStats) -> Self {
+impl From<lancedb::table::TableShardStats> for TableShardStats {
+    fn from(b: lancedb::table::TableShardStats) -> Self {
        Self {
            shard_id: b.shard_id,
            status: b.status,
@@ -1045,7 +1045,7 @@ impl From<lancedb::table::BucketStats> for BucketStats {
            current_generation: b.current_generation as i64,
            replay_after_wal_entry_position: b.replay_after_wal_entry_position as i64,
            wal_entry_position_last_seen: b.wal_entry_position_last_seen as i64,
-            generations: b.generations.into_iter().map(Into::into).collect(),
+            sstables: b.sstables.into_iter().map(Into::into).collect(),
            compacting: b.compacting,
            memtables: b
                .memtables
@@ -1054,21 +1054,21 @@ impl From<lancedb::table::BucketStats> for BucketStats {
    }
 }

-/// Live per-bucket LSM state, as returned by `Table#getLsmStats`.
+/// Live per-table-shard LSM state, as returned by `Table#getLsmStats`.
 ///
-/// Nothing here is derived: sums and differences (total L0 bytes, WAL lag) are
+/// Nothing here is derived: sums and differences (total SSTable bytes, WAL lag) are
 /// the caller's to compute.
 #[napi(object)]
 #[derive(Clone, Debug)]
 pub struct LsmStats {
-    /// One entry per bucket backing this table.
-    pub buckets: Vec<BucketStats>,
+    /// One entry per table shard backing this table.
+    pub table_shards: Vec<TableShardStats>,
 }

 impl From<lancedb::table::LsmStats> for LsmStats {
    fn from(stats: lancedb::table::LsmStats) -> Self {
        Self {
-            buckets: stats.buckets.into_iter().map(Into::into).collect(),
+            table_shards: stats.table_shards.into_iter().map(Into::into).collect(),
        }
    }
 }
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.39.0-beta.6"
+version = "0.38.0-beta.11"
 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]
@@ -139,7 +139,6 @@ 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",
@@ -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
@@ -278,7 +257,6 @@ 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 +399,6 @@ 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 +412,6 @@ 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 +434,6 @@ 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
@@ -548,7 +521,6 @@ async def connect_async(
            api_key,
            region,
            host_override,
-            sql_host_override,
            read_consistency_interval_secs,
            client_config,
            storage_options,
@@ -571,7 +543,6 @@ __all__ = [
    "connect_namespace_async",
    "AsyncConnection",
    "AsyncJob",
-    "AsyncSqlQuery",
    "AsyncLanceNamespaceDBConnection",
    "AsyncTable",
    "FtsToken",
@@ -586,8 +557,6 @@ __all__ = [
    "vector",
    "DBConnection",
    "Job",
-    "QueryDescription",
-    "SqlQuery",
    "LanceDBConnection",
    "LanceNamespaceDBConnection",
    "LsmWriteSpec",
@@ -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(
@@ -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

@@ -148,20 +147,15 @@ 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 +234,9 @@ 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 +268,10 @@ 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: ...
@@ -425,7 +385,7 @@ class Table:
    async def checkpoint_lsm(self) -> None: ...
    async def flush_lsm(self) -> None: ...
    async def compact_lsm(self) -> None: ...
-    async def get_lsm_stats(self, include_generation_rows: bool) -> Optional[dict]: ...
+    async def get_lsm_stats(self, include_sstable_rows: bool) -> Optional[dict]: ...
    async def close_lsm_writers(self) -> None: ...
    @property
    def tags(self) -> Tags: ...
@@ -490,7 +450,6 @@ 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]],
@@ -647,7 +606,6 @@ 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]]]
@@ -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.
@@ -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
@@ -49,25 +49,11 @@ from pydantic import (
    model_validator,
 )

-from .schema import is_blob_v2_field as _is_blob_v2_field
-
 _Int32 = conint(strict=True, ge=-(2**31), le=2**31 - 1)
 _UInt32 = conint(strict=True, ge=0, le=2**32 - 1)
 _UInt64 = conint(strict=True, ge=0, le=2**64 - 1)


-def _validate_gpu_wire_marker(value: Any) -> bool:
-    if value is not True:
-        raise ValueError("runtime.gpu must be true")
-    return True
-
-
-def _normalize_gpu_marker(value: bool) -> Optional[bool]:
-    if not isinstance(value, bool):
-        raise ValueError("gpu must be a boolean")
-    return True if value else None
-
-
 class _FrozenDict(dict):
    def _immutable(self, *args, **kwargs):
        raise TypeError("remote canonical values are immutable")
@@ -253,23 +239,6 @@ class PythonRuntimeSpec(_RemoteValue):
    python_version: Optional[str] = None
    environment: Optional[PythonEnvironmentSpec] = None
    env: Optional[Mapping[str, str]] = None
-    gpu: Optional[bool] = None
-
-    @model_validator(mode="before")
-    @classmethod
-    def _discard_unknown_runtime_payload(cls, value):
-        if isinstance(value, Mapping):
-            kind = value.get("kind")
-            if isinstance(kind, str) and kind not in {"python", "python_v2"}:
-                return {"kind": kind}
-        return value
-
-    @field_validator("gpu", mode="before")
-    @classmethod
-    def _validate_gpu_marker(cls, value):
-        if value is None:
-            return None
-        return _validate_gpu_wire_marker(value)

    @model_validator(mode="after")
    def _validate_runtime_kind(self):
@@ -278,28 +247,18 @@ class PythonRuntimeSpec(_RemoteValue):
                raise ValueError("python runtime requires python_version")
            if self.environment is None:
                raise ValueError("python runtime requires environment")
-            if self.gpu is not None:
-                raise ValueError("python runtime with gpu requires kind='python_v2'")
-        elif self.kind == "python_v2":
-            if self.python_version is None:
-                raise ValueError("python_v2 runtime requires python_version")
-            if self.environment is None:
-                raise ValueError("python_v2 runtime requires environment")
-            if self.gpu is None:
-                raise ValueError("python_v2 runtime requires gpu")
        else:
            object.__setattr__(self, "python_version", None)
            object.__setattr__(self, "environment", None)
            object.__setattr__(self, "env", None)
-            object.__setattr__(self, "gpu", None)
        return self


 class FunctionVersion(_RemoteValue):
    """An exact immutable Function version returned by Enterprise.

-    The GPU execution requirement is part of this identity. CPU and memory sizing,
-    priority, concurrency, and retry policy belong to the execution platform.
+    Scheduling resources, priority, concurrency, and retry policy belong to
+    the submitting Job and are not part of this identity.
    """

    name: str
@@ -470,7 +429,11 @@ 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
@@ -480,13 +443,6 @@ 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."""

@@ -494,7 +450,6 @@ class FunctionBinding(_RemoteValue):
    function: FunctionVersionRef
    inputs: tuple[InputBinding, ...]
    outputs: tuple[OutputMapping, ...]
-    assignment: Optional[AssignmentMapping] = None
    input_schema: Optional[Mapping[str, Any]] = None
    output_schema: Optional[Mapping[str, Any]] = None

@@ -524,13 +479,6 @@ 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 = (
@@ -547,7 +495,6 @@ _GRAMMAR_PRIMITIVES = (
    (pa.float32(), "float32"),
    (pa.float64(), "float64"),
    (pa.string(), "utf8"),
-    (pa.large_string(), "large_utf8"),
    (pa.binary(), "binary"),
    (pa.date32(), "date32"),
    (pa.date64(), "date64"),
@@ -555,258 +502,31 @@ _GRAMMAR_PRIMITIVES = (


 def _canonical_arrow_type(data_type: pa.DataType) -> str:
-    """The compact Function grammar, or canonical exact JSON for nested types."""
-    grammar = _grammar_arrow_type(data_type)
-    if grammar is not None:
-        return grammar
-    exact = _exact_arrow_type(data_type)
-    return json.dumps(exact, ensure_ascii=False, sort_keys=True, separators=(",", ":"))
-
-
-def _grammar_arrow_type(data_type: pa.DataType) -> Optional[str]:
+    """The server's V1 Function type grammar. Anything outside it is rejected
+    here rather than at registration."""
    for candidate, name in _GRAMMAR_PRIMITIVES:
        if data_type == candidate:
            return name
    if pa.types.is_list(data_type) or pa.types.is_large_list(data_type):
-        item = _grammar_list_item(data_type)
-        if item is None:
-            return None
        prefix = "list" if pa.types.is_list(data_type) else "large_list"
-        return f"{prefix}<{item}>"
+        return f"{prefix}<{_canonical_list_item(data_type)}>"
    if pa.types.is_fixed_size_list(data_type) and data_type.list_size > 0:
-        item = _grammar_list_item(data_type)
-        if item is not None:
-            return f"fixed_size_list<{item}, {data_type.list_size}>"
-    return None
+        return (
+            f"fixed_size_list<{_canonical_list_item(data_type)}, {data_type.list_size}>"
+        )
+    raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")


-def _grammar_list_item(data_type: pa.DataType) -> Optional[str]:
+def _canonical_list_item(data_type: pa.DataType) -> str:
    """The grammar names only the item type; it always means a non-nullable
-    child called `item`, so other child properties require exact JSON."""
+    child called `item`, so any other child metadata cannot be represented."""
    child = data_type.value_field
    if child.name != "item" or child.nullable or child.metadata:
-        return None
-    return _grammar_arrow_type(child.type)
-
-
-def _validate_exact_arrow_field(field: pa.Field) -> None:
-    if not field.name:
        raise TypeError(
-            "unsupported Arrow type for Function signature: field names "
-            "must not be empty"
+            "unsupported Arrow type for Function signature: list items must be a "
+            f"non-nullable field named 'item', got {child}"
        )
-    if _is_blob_v2_field(field):
-        if not _has_supported_blob_v2_layout(field):
-            raise TypeError(
-                "unsupported Arrow type for Function signature: lance.blob.v2 "
-                f"requires a supported Blob storage layout, got {field}"
-            )
-        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
-        )
-    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)
-    raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")
+    return _canonical_arrow_type(child.type)


 def _list_of(item: pa.DataType) -> pa.DataType:
@@ -880,15 +600,8 @@ 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 +617,18 @@ 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 +637,8 @@ 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 +657,6 @@ 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 +667,7 @@ 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 +690,7 @@ 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,
            )
        )
@@ -1204,7 +910,6 @@ class UdfDefinition:
        pip: tuple[str, ...],
        env: Mapping[str, str],
        python_version: Optional[str],
-        gpu: bool = False,
        conda: tuple[str, ...] = (),
        conda_channels: tuple[str, ...] = (),
    ):
@@ -1233,14 +938,12 @@ class UdfDefinition:
        signature = _infer_signature(function, input_schema, output_schema)
        source = _package_source(function)
        digest = f"sha256:{hashlib.sha256(source).hexdigest()}"
-        gpu_marker = _normalize_gpu_marker(gpu)
        runtime = PythonRuntimeSpec(
-            kind="python_v2" if gpu_marker is not None else "python",
+            kind="python",
            python_version=python_version
            or f"{sys.version_info.major}.{sys.version_info.minor}",
            environment=environment_spec,
            env=environment,
-            gpu=gpu_marker,
        )
        self._function = function
        self._request = FunctionRegistrationRequest(
@@ -1286,7 +989,6 @@ def udf(
    pip: tuple[str, ...] | list[str] = (),
    env: Optional[Mapping[str, str]] = None,
    python_version: Optional[str] = None,
-    gpu: bool = False,
    conda: tuple[str, ...] | list[str] = (),
    conda_channels: tuple[str, ...] | list[str] = (),
 ) -> Callable[[Callable[..., Any]], UdfDefinition]: ...
@@ -1301,7 +1003,6 @@ def udf(
    pip: tuple[str, ...] | list[str] = (),
    env: Optional[Mapping[str, str]] = None,
    python_version: Optional[str] = None,
-    gpu: bool = False,
    conda: tuple[str, ...] | list[str] = (),
    conda_channels: tuple[str, ...] | list[str] = (),
 ):
@@ -1309,9 +1010,8 @@ def udf(

    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
    ----------
@@ -1323,8 +1023,8 @@ 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
@@ -1335,10 +1035,6 @@ def udf(
        Environment variables included in the Function definition.
    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
@@ -1363,11 +1059,6 @@ def udf(
    ...     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:
@@ -1379,7 +1070,6 @@ def udf(
            pip=tuple(pip),
            env={} if env is None else env,
            python_version=python_version,
-            gpu=gpu,
            conda=tuple(conda),
            conda_channels=tuple(conda_channels),
        )
@@ -1390,7 +1080,6 @@ def udf(


 __all__ = [
-    "AssignmentMapping",
    "ApplicationInput",
    "FunctionApplication",
    "FunctionArtifact",
@@ -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]
@@ -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", []),
    )


@@ -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.

@@ -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
    )
@@ -805,10 +804,6 @@ 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 +825,6 @@ 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
@@ -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:
@@ -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}"}
@@ -67,15 +67,7 @@ from ..query import (
    LanceTakeQueryBuilder,
    LanceVectorQueryBuilder,
 )
-from ..table import (
-    AsyncTable,
-    BlobMode,
-    Branches,
-    IndexStatistics,
-    Query,
-    Table,
-    Tags,
-)
+from ..table import AsyncTable, BlobMode, Branches, IndexStatistics, Query, Table, Tags
 from ..types import BaseTokenizerType


@@ -548,7 +540,6 @@ class RemoteTable(Table):
        LOOP.run(
            self._table.create_index(
                column,
-                replace=replace,
                config=config,
                wait_timeout=wait_timeout,
                name=name,
@@ -1038,11 +1029,11 @@ class RemoteTable(Table):
        [`AsyncTable.compact_lsm`][lancedb.AsyncTable.compact_lsm]."""
        return LOOP.run(self._table.compact_lsm())

-    def get_lsm_stats(self, *, include_generation_rows: bool = False) -> Optional[dict]:
+    def get_lsm_stats(self, *, include_sstable_rows: bool = False) -> Optional[dict]:
        """Synchronous version of
        [`AsyncTable.get_lsm_stats`][lancedb.AsyncTable.get_lsm_stats]."""
        return LOOP.run(
-            self._table.get_lsm_stats(include_generation_rows=include_generation_rows)
+            self._table.get_lsm_stats(include_sstable_rows=include_sstable_rows)
        )

    def close_lsm_writers(self) -> None:
@@ -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}")
@@ -1,88 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-"""Handles to SQL queries running on a remote database."""
-
-from uuid import UUID
-
-import pyarrow as pa
-
-from lancedb.background_loop import LOOP
-
-from . import _lancedb
-from .arrow import AsyncRecordBatchReader
-
-QueryDescription = _lancedb.QueryDescription
-
-
-class AsyncQuery:
-    """A handle to a submitted SQL query on an asynchronous connection."""
-
-    def __init__(self, inner: "_lancedb.SqlQuery"):
-        self._inner = inner
-
-    @property
-    def id(self) -> UUID:
-        """The stable identifier scoped to the connection that submitted it."""
-        return self._inner.id
-
-    async def describe(self) -> QueryDescription:
-        """Get a point-in-time description of the query."""
-        return await self._inner.describe()
-
-    async def reader(self) -> AsyncRecordBatchReader:
-        """Wait for the initial result stream and return its Arrow reader.
-
-        Results are single-consumer. Calling this method more than once on the
-        same query raises an error. Later batches are streamed as they become
-        available without waiting for the full query to finish.
-        """
-        return AsyncRecordBatchReader(await self._inner.reader())
-
-    async def cancel(self) -> None:
-        """Request cancellation of the query."""
-        await self._inner.cancel()
-
-
-class Query:
-    """Synchronous counterpart of :class:`AsyncQuery`."""
-
-    def __init__(self, inner: AsyncQuery):
-        self._inner = inner
-
-    @property
-    def id(self) -> UUID:
-        """The stable identifier scoped to the connection that submitted it."""
-        return self._inner.id
-
-    def describe(self) -> QueryDescription:
-        """Get a point-in-time description of the query."""
-        return LOOP.run(self._inner.describe())
-
-    def reader(self) -> pa.RecordBatchReader:
-        """Wait for the initial result stream and return a blocking reader.
-
-        Results are single-consumer. Calling this method more than once on the
-        same query raises an error. Later batches block only until they become
-        available, without waiting for the full query to finish.
-        """
-        reader = LOOP.run(self._inner.reader())
-
-        def next_batch():
-            try:
-                return LOOP.run(reader.__anext__())
-            except StopAsyncIteration:
-                return None
-
-        def batches():
-            while (batch := next_batch()) is not None:
-                yield batch
-
-        return pa.RecordBatchReader.from_batches(reader.schema, batches())
-
-    def cancel(self) -> None:
-        """Request cancellation of the query."""
-        LOOP.run(self._inner.cancel())
-
-
-__all__ = ["AsyncQuery", "Query", "QueryDescription"]
@@ -104,12 +104,7 @@ from .util import (
    value_to_sql,
 )
 from .index import lang_mapping
-from .schema import (
-    blob_v2_column_paths,
-    is_blob_v2_field,
-    row_addressable_blob_v2_paths,
-    schema_has_blob_field,
-)
+from .schema import blob_v2_column_paths, schema_has_blob_field


 def _should_push_down_query_table(
@@ -431,7 +426,6 @@ def _cast_to_target_schema(

    def gen():
        for batch in reader:
-            batch = _coerce_blob_write_columns(batch, reordered_schema)
            # Table but not RecordBatch has cast.
            cast_batches = (
                pa.Table.from_batches([batch]).cast(reordered_schema).to_batches()
@@ -444,166 +438,6 @@ def _cast_to_target_schema(
    return pa.RecordBatchReader.from_batches(reordered_schema, gen())


-def _coerce_blob_write_columns(
-    batch: pa.RecordBatch, target_schema: pa.Schema
-) -> pa.RecordBatch:
-    """Materialize blob storage structs before the stream leaves Python.
-
-    merge_insert requires its source reader to already match the table's
-    physical schema. Unlike add and insert, it does not pass through
-    LanceDB's Rust blob coercion, so preserving binary input here would
-    reach Lance as binary and fail the schema check.
-    """
-    columns = []
-    fields = []
-    changed = False
-    for field, column in zip(batch.schema, batch.columns):
-        target_field = target_schema.field(field.name)
-        coerced = _coerce_blob_value(column, target_field)
-        if coerced is not column:
-            column = coerced
-            field = pa.field(
-                field.name,
-                coerced.type,
-                field.nullable,
-                target_field.metadata,
-            )
-            changed = True
-        columns.append(column)
-        fields.append(field)
-    if not changed:
-        return batch
-    return pa.RecordBatch.from_arrays(
-        columns, schema=pa.schema(fields, metadata=batch.schema.metadata)
-    )
-
-
-def _coerce_blob_value(column: pa.Array, target_field: pa.Field) -> pa.Array:
-    if is_blob_v2_field(target_field) and _can_coerce_to_blob(column.type):
-        return _coerce_value_to_blob(column, target_field)
-
-    target_type = target_field.type
-    if pa.types.is_struct(target_type) and pa.types.is_struct(column.type):
-        children = []
-        fields = []
-        changed = False
-        for source_field in column.type:
-            source_column = column.field(source_field.name)
-            nested_target = next(
-                (field for field in target_type if field.name == source_field.name),
-                None,
-            )
-            if nested_target is None:
-                children.append(source_column)
-                fields.append(source_field)
-                continue
-            coerced = _coerce_blob_value(source_column, nested_target)
-            if coerced is not source_column:
-                changed = True
-            child_array, child_type = _physical_array_and_type(coerced)
-            children.append(child_array)
-            fields.append(
-                pa.field(
-                    source_field.name,
-                    child_type,
-                    source_field.nullable,
-                    nested_target.metadata,
-                )
-            )
-        if not changed:
-            return column
-        return pa.StructArray.from_arrays(
-            children,
-            fields=fields,
-            mask=column.is_null() if column.null_count else None,
-        )
-
-    if _is_list_like(target_type) and _is_list_like(column.type):
-        return _coerce_blob_list_values(column, target_type.value_field)
-
-    return column
-
-
-def _coerce_blob_list_values(
-    column: pa.Array, target_value_field: pa.Field
-) -> pa.Array:
-    """Coerce blob values inside a list column, preserving offsets and nulls.
-
-    Works on the raw child values window instead of ``pc.list_flatten`` because
-    flatten drops values spanned by null slots, which would misalign offsets.
-    """
-    mask = column.is_null() if column.null_count else None
-    if pa.types.is_fixed_size_list(column.type):
-        list_size = column.type.list_size
-        values = column.values.slice(column.offset * list_size, len(column) * list_size)
-        coerced = _coerce_blob_value(values, target_value_field)
-        if coerced is values:
-            return column
-        physical_values, _ = _physical_array_and_type(coerced)
-        return pa.FixedSizeListArray.from_arrays(physical_values, list_size, mask=mask)
-    offsets = column.offsets
-    first_offset = offsets[0].as_py()
-    values = column.values.slice(
-        first_offset,
-        offsets[-1].as_py() - first_offset,
-    )
-    coerced = _coerce_blob_value(values, target_value_field)
-    if coerced is values:
-        return column
-    physical_values, _ = _physical_array_and_type(coerced)
-    if first_offset:
-        offsets = pc.subtract(offsets, pa.scalar(first_offset, offsets.type))
-    if pa.types.is_large_list(column.type):
-        return pa.LargeListArray.from_arrays(offsets, physical_values, mask=mask)
-    return pa.ListArray.from_arrays(offsets, physical_values, mask=mask)
-
-
-def _coerce_value_to_blob(values: pa.Array, target_field: pa.Field) -> pa.Array:
-    if pa.types.is_null(values.type):
-        data = pa.nulls(len(values), type=pa.large_binary())
-    elif pa.types.is_large_binary(values.type):
-        data = values
-    else:
-        data = values.cast(pa.large_binary())
-    length = len(values)
-    storage_type = target_field.type
-    if isinstance(storage_type, pa.ExtensionType):
-        storage_type = storage_type.storage_type
-    storage_fields = list(storage_type)
-    children = []
-    for storage_field in storage_fields:
-        if storage_field.name == "data":
-            children.append(data)
-        else:
-            children.append(pa.nulls(length, type=storage_field.type))
-    storage = pa.StructArray.from_arrays(
-        children,
-        fields=storage_fields,
-        mask=values.is_null() if values.null_count else None,
-    )
-    if isinstance(target_field.type, pa.ExtensionType):
-        return pa.ExtensionArray.from_storage(target_field.type, storage)
-    return storage
-
-
-def _physical_array_and_type(array: pa.Array) -> tuple[pa.Array, pa.DataType]:
-    if isinstance(array.type, pa.ExtensionType):
-        return array.storage, array.type.storage_type
-    return array, array.type
-
-
-def _can_coerce_to_blob(data_type: pa.DataType) -> bool:
-    return _is_binary_like(data_type) or pa.types.is_null(data_type)
-
-
-def _is_binary_like(data_type: pa.DataType) -> bool:
-    return (
-        pa.types.is_binary(data_type)
-        or pa.types.is_large_binary(data_type)
-        or pa.types.is_binary_view(data_type)
-    )
-
-
 def _field_extension_name(field: pa.Field) -> Optional[str]:
    extension_name = getattr(field.type, "extension_name", None)
    if extension_name is not None:
@@ -630,73 +464,65 @@ def _align_field_types(
        target_field = next((f for f in target_fields if f.name == field.name), None)
        if target_field is None:
            raise ValueError(f"Field '{field.name}' not found in target schema")
-        new_fields.append(_align_field(field, target_field))
+        # Preserve arrow.json input until it reaches Lance. LanceDB exposes stored
+        # JSON columns as lance.json (JSONB-backed LargeBinary), but casting the
+        # input to that storage type here merely relabels the raw JSON bytes as
+        # JSONB. Lance must see arrow.json so it can perform the JSONB encoding.
+        if (
+            _field_extension_name(field) == "arrow.json"
+            and _field_extension_name(target_field) == "lance.json"
+        ):
+            new_fields.append(field)
+            continue
+        if pa.types.is_struct(target_field.type):
+            if pa.types.is_struct(field.type):
+                new_type = pa.struct(
+                    _align_field_types(
+                        field.type.fields,
+                        target_field.type.fields,
+                    )
+                )
+            else:
+                new_type = target_field.type
+        elif pa.types.is_list(target_field.type):
+            if _is_list_like(field.type):
+                new_type = pa.list_(
+                    _align_field_types(
+                        [field.type.value_field],
+                        [target_field.type.value_field],
+                    )[0]
+                )
+            else:
+                new_type = target_field.type
+        elif pa.types.is_large_list(target_field.type):
+            if _is_list_like(field.type):
+                new_type = pa.large_list(
+                    _align_field_types(
+                        [field.type.value_field],
+                        [target_field.type.value_field],
+                    )[0]
+                )
+            else:
+                new_type = target_field.type
+        elif pa.types.is_fixed_size_list(target_field.type):
+            if _is_list_like(field.type):
+                new_type = pa.list_(
+                    _align_field_types(
+                        [field.type.value_field],
+                        [target_field.type.value_field],
+                    )[0],
+                    target_field.type.list_size,
+                )
+            else:
+                new_type = target_field.type
+        else:
+            new_type = target_field.type
+        new_fields.append(
+            pa.field(field.name, new_type, field.nullable, target_field.metadata)
+        )
    return new_fields


-def _align_list_value_field(
-    value_field: pa.Field, target_value_field: pa.Field
-) -> pa.Field:
-    # A list has exactly one child, so the inferred child name ("item") aligns
-    # positionally and adopts the table's child name; pa.Table.cast renames it.
-    return _align_field(value_field, target_value_field).with_name(
-        target_value_field.name
-    )
-
-
-def _align_field(field: pa.Field, target_field: pa.Field) -> pa.Field:
-    # Preserve arrow.json input until it reaches Lance. LanceDB exposes stored
-    # JSON columns as lance.json (JSONB-backed LargeBinary), but casting the
-    # input to that storage type here merely relabels the raw JSON bytes as
-    # JSONB. Lance must see arrow.json so it can perform the JSONB encoding.
-    if (
-        _field_extension_name(field) == "arrow.json"
-        and _field_extension_name(target_field) == "lance.json"
-    ):
-        return field
-    if pa.types.is_struct(target_field.type):
-        if pa.types.is_struct(field.type):
-            new_type = pa.struct(
-                _align_field_types(
-                    field.type.fields,
-                    target_field.type.fields,
-                )
-            )
-        else:
-            new_type = target_field.type
-    elif pa.types.is_list(target_field.type):
-        if _is_list_like(field.type):
-            new_type = pa.list_(
-                _align_list_value_field(
-                    field.type.value_field, target_field.type.value_field
-                )
-            )
-        else:
-            new_type = target_field.type
-    elif pa.types.is_large_list(target_field.type):
-        if _is_list_like(field.type):
-            new_type = pa.large_list(
-                _align_list_value_field(
-                    field.type.value_field, target_field.type.value_field
-                )
-            )
-        else:
-            new_type = target_field.type
-    elif pa.types.is_fixed_size_list(target_field.type):
-        if _is_list_like(field.type):
-            new_type = pa.list_(
-                _align_list_value_field(
-                    field.type.value_field, target_field.type.value_field
-                ),
-                target_field.type.list_size,
-            )
-        else:
-            new_type = target_field.type
-    else:
-        new_type = target_field.type
-    return pa.field(field.name, new_type, field.nullable, target_field.metadata)
-
-
 def _infer_subschema(
    schema: List[pa.Field],
    reference_fields: List[pa.Field],
@@ -763,7 +589,7 @@ def sanitize_create_table(
        schema = data.schema
    else:
        if schema is not None:
-            data = pa.Table.from_batches([], schema=schema)
+            data = pa.Table.from_pylist([], schema)
    if schema is None:
        if data is None:
            raise ValueError("Either data or schema must be provided")
@@ -1547,9 +1373,7 @@ class Table(ABC):
        on: Union[str, Iterable[str]]
            A column (or columns) to join on.  This is how records from the
            source table and target table are matched.  Typically this is some
-            kind of key or id column.  Passing several columns matches on the
-            composite key: a source row updates a target row only when it
-            agrees on every one of them.
+            kind of key or id column.

        Examples
        --------
@@ -1680,9 +1504,9 @@ class Table(ABC):
        Offsets are mostly useful for sampling as the set of all valid offsets is easily
        known in advance to be [0, len(table)).

-        No guarantees are made regarding the order in which results are returned.
-        Repeated offsets produce repeated rows, which makes this method suitable for
-        sampling with replacement.
+        No guarantees are made regarding the order in which results are returned.  If
+        you desire an output order that matches the order of the given offsets, you will
+        need to add the row offset column to the output and align it yourself.

        Parameters
        ----------
@@ -1793,9 +1617,6 @@ class Table(ABC):
        The result has the same length and order as ``row_ids``. Null blobs
        produce null slots; valid empty blobs produce ``b""``.

-        ``_rowid`` values stay valid after compaction when the table has stable
-        row ids.
-
        Convenience for small payloads. For large values use
        :meth:`fetch_blob_files`.
        """
@@ -1813,9 +1634,6 @@ class Table(ABC):
        The result has the same length and order as ``requests``; null blobs
        produce null slots and empty ranges on non-null blobs produce ``b""``.

-        ``_rowid`` values stay valid after compaction when the table has stable
-        row ids.
-
        Row IDs can be obtained from a query with ``with_row_id(True)``. This
        API is currently supported only by local tables.
        """
@@ -1831,9 +1649,6 @@ class Table(ABC):
        ``_rowid`` or a ``_lance_row_id`` field on the blob descriptor. Null
        rows are ``None``. Remote tables require LanceDB Cloud server 0.5.0 or
        newer.
-
-        ``_rowid`` values stay valid after compaction when the table has stable
-        row ids.
        """

    @abstractmethod
@@ -2176,11 +1991,9 @@ class Table(ABC):
            Function columns are supported only on LanceDB Cloud and
            Enterprise.
        computed: Dict[str, str], optional
-            A mapping from output column names to SQL expressions derives each
-            output field from its expression. A direct projection of a Blob v2
-            field inherits Blob v2 semantics; other expressions derive their
-            ordinary Arrow type. Mapping order is declaration and dependency
-            order.
+            A map of column name to a SQL expression defining the column. The
+            column's type and inputs are derived from the expression, so no
+            data type is supplied.

            Unlike ``transforms``, the expression is stored rather than
            evaluated now: the column is committed with no values, and rows get
@@ -2188,10 +2001,10 @@ class Table(ABC):
            Declaring one therefore costs the same on a large table as on an
            empty one.

-            A refresh also recomputes the rows whose inputs changed since they
-            were computed, so a mutated input is reflected by the next refresh.
-            While a declaration reads a column, that column cannot be renamed,
-            retyped or dropped.
+            A refresh does not revisit rows it has already filled, so mutating
+            an input leaves the value computed at fill time; recomputing means
+            dropping the column and declaring it again. While a declaration
+            reads a column, that column cannot be renamed, retyped or dropped.

            On LanceDB Cloud and Enterprise the expression is planned by the
            server, and the refresh runs as a server job -- see
@@ -2211,7 +2024,7 @@ class Table(ABC):
        >>> table.add_columns(computed={"doubled": "x * 2"})
        AddColumnsResult(version=2)
        >>> table.refresh_column("doubled")
-        RefreshColumnResult(rows_filled=2, version=4)
+        RefreshColumnResult(rows_filled=2, version=3)
        >>> table.to_arrow().sort_by("x").to_pandas()
           x  doubled
        0  1        2
@@ -2225,8 +2038,8 @@ class Table(ABC):

        Declared with ``add_columns(computed=...)``, a column starts empty and
        gets its values here. Rows appended since the last refresh are filled
-        by the next one, and rows whose inputs changed since they were computed
-        are recomputed; everything else is left as it is.
+        by the next one; rows already filled are left as they are, so the call
+        is idempotent and does not observe a mutated input.

        Local tables only: a remote refresh runs as a server job, through
        [`refresh_column_async`][lancedb.table.Table.refresh_column_async].
@@ -2885,7 +2698,7 @@ class LanceTable(Table):
            arrow_tbl = self.to_arrow()
            if blob_mode == "descriptions":
                arrow_tbl = strip_auto_row_ids(
-                    arrow_tbl, row_addressable_blob_v2_paths(self.schema)
+                    arrow_tbl, blob_v2_column_paths(self.schema)
                )
            return arrow_tbl.to_pandas(**kwargs)

@@ -4101,7 +3914,6 @@ class LanceTable(Table):
            )
            and not self._route_pushdown_to_rust
            and self.current_branch() is None
-            and query.take_offsets is None
        ):
            from lancedb.namespace import _execute_server_side_query

@@ -4318,14 +4130,13 @@ class LanceTable(Table):
        return LOOP.run(self._table.add_columns(transforms, computed=computed))

    def refresh_column(self, column: str) -> "RefreshColumnResult":
-        """Fill a computed column's unfilled rows and recompute those whose
-        inputs changed. See
+        """Fill a computed column's unfilled rows. See
        [`AsyncTable.refresh_column`][lancedb.AsyncTable.refresh_column]."""
        return LOOP.run(self._table.refresh_column(column))

    def refresh_column_async(self, column: str) -> Job[RefreshColumnJobResult]:
-        """Fill a computed column's unfilled rows and recompute those whose
-        inputs changed, returning a handle to the refresh job. See
+        """Fill a computed column's unfilled rows, returning a handle to the
+        refresh job. See
        [`Table.refresh_column_async`][lancedb.table.Table.refresh_column_async].
        """
        return Job(LOOP.run(self._table.refresh_column_async(column)))
@@ -4378,11 +4189,11 @@ class LanceTable(Table):
        [`AsyncTable.compact_lsm`][lancedb.AsyncTable.compact_lsm]."""
        return LOOP.run(self._table.compact_lsm())

-    def get_lsm_stats(self, *, include_generation_rows: bool = False) -> Optional[dict]:
+    def get_lsm_stats(self, *, include_sstable_rows: bool = False) -> Optional[dict]:
        """Synchronous version of
        [`AsyncTable.get_lsm_stats`][lancedb.AsyncTable.get_lsm_stats]."""
        return LOOP.run(
-            self._table.get_lsm_stats(include_generation_rows=include_generation_rows)
+            self._table.get_lsm_stats(include_sstable_rows=include_sstable_rows)
        )

    def close_lsm_writers(self) -> None:
@@ -5105,16 +4916,16 @@ class AsyncTable:
    async def checkpoint_lsm(self) -> None:
        """Converge this table's LSM write path into its base table.

-        One flush, sealing every memtable into L0, then compaction triggers
+        One flush, freezing every memtable into an SSTable, then compaction triggers
        until every generation that existed at that moment has reached base.
        The loop runs client-side, reading progress from ``get_lsm_stats``.

-        Best-effort: generations created *while* it runs are deliberately not
+        Best-effort: SSTables created *while* it runs are deliberately not
        waited on, which is what lets it terminate on a table taking writes.
        Idempotent and safe on a cadence.

        There is no deadline, and the caller owns that. It returns when the
-        target generations are gone, raises on a terminal server fault, and
+        target SSTables are gone, raises on a terminal server fault, and
        otherwise waits however long the server takes. A slow table and a
        stuck one are the same picture from the client: the compactor pool is
        shared across every table on the node, so a checkpoint queued behind
@@ -5125,25 +4936,25 @@ class AsyncTable:
        await self._inner.checkpoint_lsm()

    async def flush_lsm(self) -> None:
-        """Seal every bucket's active memtable into L0.
+        """Freeze every table shard's active memtable into an SSTable.

-        Does not touch the base table — moving L0 into base is
+        Does not touch the base table — compacting SSTables into base is
        `compact_lsm`. On a node that has not claimed this table, this claims
        it and replays its WAL log first.
        """
        await self._inner.flush_lsm()

    async def compact_lsm(self) -> None:
-        """Trigger a background L0 to base compaction pass per bucket.
+        """Trigger a background SSTable compaction pass per table shard.

        Returns once the passes are dispatched, not once they finish: watch
        ``get_lsm_stats`` for progress, or use ``checkpoint_lsm`` to loop
-        until the current L0 has reached base.
+        until the current SSTables have reached base.
        """
        await self._inner.compact_lsm()

    async def get_lsm_stats(
-        self, *, include_generation_rows: bool = False
+        self, *, include_sstable_rows: bool = False
    ) -> Optional[dict]:
        """Read live per-bucket LSM state.

@@ -5156,12 +4967,12 @@ class AsyncTable:

        Parameters
        ----------
-        include_generation_rows
-            Report a row count per L0 generation. Off by default: each count
+        include_sstable_rows
+            Report a row count per SSTable. Off by default: each count
            opens an uncached Lance dataset, and ``checkpoint_lsm`` polls this
            needing only generation numbers.
        """
-        return await self._inner.get_lsm_stats(include_generation_rows)
+        return await self._inner.get_lsm_stats(include_sstable_rows)

    async def close_lsm_writers(self) -> None:
        """Drain and close any cached MemWAL shard writers for this table.
@@ -5291,9 +5102,7 @@ class AsyncTable:
        if blob_mode == "descriptions" or not schema_has_blob_field(schema):
            arrow_tbl = await self.to_arrow()
            if blob_mode == "descriptions":
-                arrow_tbl = strip_auto_row_ids(
-                    arrow_tbl, row_addressable_blob_v2_paths(schema)
-                )
+                arrow_tbl = strip_auto_row_ids(arrow_tbl, blob_v2_column_paths(schema))
            return arrow_tbl.to_pandas(**kwargs)

        if blob_mode == "lazy" and get_uri_scheme(await self.uri()) == "memory":
@@ -5713,9 +5522,7 @@ class AsyncTable:
        on: Union[str, Iterable[str]]
            A column (or columns) to join on.  This is how records from the
            source table and target table are matched.  Typically this is some
-            kind of key or id column.  Passing several columns matches on the
-            composite key: a source row updates a target row only when it
-            agrees on every one of them.
+            kind of key or id column.

        Examples
        --------
@@ -5998,23 +5805,7 @@ class AsyncTable:

    def _sync_query_to_async(
        self, query: Query
-    ) -> (
-        AsyncHybridQuery
-        | AsyncFTSQuery
-        | AsyncVectorQuery
-        | AsyncQuery
-        | AsyncTakeQuery
-    ):
-        if query.take_offsets is not None:
-            take_query = self.take_offsets(query.take_offsets)
-            if query.columns:
-                take_query = take_query.select(query.columns)
-            if query.use_lsm is not None:
-                take_query = take_query.use_lsm(query.use_lsm)
-            if query.with_row_id:
-                take_query = take_query.with_row_id()
-            return take_query
-
+    ) -> AsyncHybridQuery | AsyncFTSQuery | AsyncVectorQuery | AsyncQuery:
        async_query = self.query()
        if query.limit is not None:
            async_query = async_query.limit(query.limit)
@@ -6079,7 +5870,6 @@ class AsyncTable:
                self._namespace_client, self._pushdown_operations
            )
            and not self._route_pushdown_to_rust
-            and query.take_offsets is None
        ):
            from lancedb.namespace import _execute_server_side_query

@@ -6302,21 +6092,18 @@ class AsyncTable:
            Function columns are supported only on LanceDB Cloud and
            Enterprise.
        computed: Dict[str, str], optional
-            A mapping from output column names to SQL expressions derives each
-            output field from its expression. A direct projection of a Blob v2
-            field inherits Blob v2 semantics; other expressions derive their
-            ordinary Arrow type. Mapping order is declaration and dependency
-            order.
+            A map of column name to a SQL expression defining the column. The
+            column's type and inputs are derived from the expression.

            Unlike ``transforms``, the expression is stored rather than
            evaluated now: the column is committed with no values, and rows get
            them from
            [`refresh_column`][lancedb.table.AsyncTable.refresh_column].

-            A refresh also recomputes the rows whose inputs changed since they
-            were computed, so a mutated input is reflected by the next refresh.
-            While a declaration reads a column, that column cannot be renamed,
-            retyped or dropped.
+            A refresh does not revisit rows it has already filled, so mutating
+            an input leaves the value computed at fill time. While a
+            declaration reads a column, that column cannot be renamed, retyped
+            or dropped.

            On LanceDB Cloud and Enterprise the expression is planned by
            the server. Cannot be combined with ``transforms``.
@@ -6378,8 +6165,8 @@ class AsyncTable:

        Declared with ``add_columns(computed=...)``, a column starts empty and
        gets its values here. Rows appended since the last refresh are filled
-        by the next one, and rows whose inputs changed since they were computed
-        are recomputed; everything else is left as it is.
+        by the next one; rows already filled are left as they are, so the call
+        is idempotent and does not observe a mutated input.

        Local tables only: a remote refresh runs as a server job, through
        [`refresh_column_async`][lancedb.table.Table.refresh_column_async].
@@ -6577,9 +6364,6 @@ class AsyncTable:
        Offsets are mostly useful for sampling as the set of all valid offsets is easily
        known in advance to be [0, len(table)).

-        No guarantees are made regarding the order in which results are returned.
-        Repeated offsets produce repeated rows.
-
        Parameters
        ----------
        offsets: list[int]
@@ -2,15 +2,10 @@
 # SPDX-FileCopyrightText: Copyright The LanceDB Authors

 import io
-import subprocess
-import sys
-import textwrap

-import lance
 import pyarrow as pa
 import pyarrow.compute as pc
 import pytest
-from lance.blob import BlobType as LanceBlobType

 import lancedb
 from lancedb._blob import (
@@ -23,20 +18,6 @@ from lancedb.index import FTS
 from lancedb.schema import blob_column_paths, blob_v2_column_paths


-_HIDE_LANCE_BLOB = """\
-import importlib.abc
-import sys
-
-class _MissingLanceBlob(importlib.abc.MetaPathFinder):
-    def find_spec(self, fullname, path, target=None):
-        if fullname == "lance.blob" or fullname.startswith("lance.blob."):
-            raise ModuleNotFoundError(fullname, name="lance.blob")
-
-sys.modules.pop("lance.blob", None)
-sys.meta_path.insert(0, _MissingLanceBlob())
-"""
-
-
 def _blob_table(name, rows):
    db = lancedb.connect("memory:///")
    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
@@ -66,204 +47,10 @@ def _row_ids_by_id(table):
    return dict(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))


-def _assert_missing_blob_row_ids(exc_info):
-    message = str(exc_info.value)
-    assert "row ids" in message
-    assert "rowaddr" not in message
-    assert "fragment" not in message
-
-
-def _assert_fetch_apis_reject_missing_row_ids(table, row_ids):
-    with pytest.raises(ValueError) as exc_info:
-        table.fetch_blobs("image", row_ids)
-    _assert_missing_blob_row_ids(exc_info)
-    with pytest.raises(ValueError) as exc_info:
-        table.fetch_blob_files("image", row_ids)
-    _assert_missing_blob_row_ids(exc_info)
-    with pytest.raises(ValueError) as exc_info:
-        table.fetch_blob_ranges("image", [(row_id, 0, 1) for row_id in row_ids])
-    _assert_missing_blob_row_ids(exc_info)
-
-
 def test_blob_factory_declares_v2_field():
    field = lancedb.blob("image")
    assert isinstance(field.type, pa.ExtensionType)
    assert field.type.extension_name == "lance.blob.v2"
-    assert lancedb.BlobType is LanceBlobType
-    assert type(field.type) is LanceBlobType
-
-
-def test_blob_type_works_without_pylance():
-    script = _HIDE_LANCE_BLOB + textwrap.dedent(
-        """\
-        import lancedb
-        import pyarrow as pa
-
-        field = lancedb.blob("image")
-        if not isinstance(field.type, pa.ExtensionType):
-            raise SystemExit("expected an extension type")
-        if field.type.extension_name != "lance.blob.v2":
-            raise SystemExit(field.type.extension_name)
-        if lancedb.BlobType is not type(field.type):
-            raise SystemExit("BlobType is not the field type class")
-        if lancedb.BlobType.__module__ != "lancedb.schema":
-            raise SystemExit(lancedb.BlobType.__module__)
-
-        db = lancedb.connect("memory:///")
-        table = db.create_table(
-            "images",
-            schema=pa.schema([pa.field("id", pa.int64()), field]),
-        )
-        table.add([{"id": 1, "image": b"hello"}])
-        result = (
-            table.merge_insert("id")
-            .when_matched_update_all()
-            .when_not_matched_insert_all()
-            .execute([{"id": 1, "image": b"updated"}, {"id": 2, "image": b"inserted"}])
-        )
-        if result.num_updated_rows != 1 or result.num_inserted_rows != 1:
-            raise SystemExit(
-                f"merge_insert rows updated={result.num_updated_rows} "
-                f"inserted={result.num_inserted_rows}"
-            )
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_blob_resolves_pylance_type_without_eager_import():
-    script = textwrap.dedent(
-        """\
-        import sys
-        import lancedb
-
-        if "lance.blob" in sys.modules:
-            raise SystemExit("import lancedb imported lance.blob")
-        field = lancedb.blob("image")
-        from lance.blob import BlobType
-
-        if type(field.type) is not BlobType:
-            raise SystemExit(f"{type(field.type)} is not {BlobType}")
-        import lance
-
-        image = lance.blob_array([b"x"])
-        if type(image.type) is not BlobType:
-            raise SystemExit("blob_array used a different class")
-        if type(image.type) is not type(field.type):
-            raise SystemExit("field and array classes differ")
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_blob_fallback_fails_if_name_already_registered():
-    script = _HIDE_LANCE_BLOB + textwrap.dedent(
-        """\
-        import pyarrow as pa
-
-        class OtherBlobType(pa.ExtensionType):
-            def __init__(self):
-                super().__init__(
-                    pa.struct([pa.field("data", pa.large_binary())]),
-                    "lance.blob.v2",
-                )
-
-            def __arrow_ext_serialize__(self):
-                return b""
-
-            @classmethod
-            def __arrow_ext_deserialize__(cls, storage_type, serialized):
-                return cls()
-
-        pa.register_extension_type(OtherBlobType())
-        import lancedb
-
-        try:
-            lancedb.blob("image")
-        except ValueError as err:
-            if "already registered" not in str(err):
-                raise SystemExit(err)
-        else:
-            raise SystemExit("expected ValueError")
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_blob_type_rejects_competing_registration_with_pylance():
-    script = textwrap.dedent(
-        """\
-        import pyarrow as pa
-        import pyarrow.ipc
-
-        class OtherBlobType(pa.ExtensionType):
-            def __init__(self):
-                super().__init__(
-                    pa.struct(
-                        [
-                            pa.field("data", pa.large_binary()),
-                            pa.field("uri", pa.utf8()),
-                            pa.field("position", pa.uint64()),
-                            pa.field("size", pa.uint64()),
-                        ]
-                    ),
-                    "lance.blob.v2",
-                )
-
-            def __arrow_ext_serialize__(self):
-                return b""
-
-            @classmethod
-            def __arrow_ext_deserialize__(cls, storage_type, serialized):
-                return cls()
-
-        pa.register_extension_type(OtherBlobType())
-
-        from lance.blob import BlobType
-
-        if BlobType is OtherBlobType:
-            raise SystemExit("pylance BlobType was replaced")
-        schema = pa.schema([pa.field("value", BlobType())])
-        restored = pa.ipc.read_schema(schema.serialize())
-        if type(restored.field("value").type) is not OtherBlobType:
-            raise SystemExit(type(restored.field("value").type))
-
-        import lancedb
-
-        try:
-            lancedb.blob("image")
-        except ValueError as err:
-            if "__main__.OtherBlobType" not in str(err):
-                raise SystemExit(err)
-        else:
-            raise SystemExit("expected ValueError")
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr


 def test_blob_v2_column_paths_include_list_children():
@@ -297,10 +84,7 @@ def test_blob_v2_projection_sources_use_typed_column_name():


 def _legacy_v1_table(name):
-    # Legacy v1 blob columns are only writable at file version <= 2.1.
-    db = lancedb.connect(
-        "memory:///", storage_options={"new_table_data_storage_version": "2.1"}
-    )
+    db = lancedb.connect("memory:///")
    schema = pa.schema(
        [
            pa.field("id", pa.int64()),
@@ -419,292 +203,6 @@ def test_fetch_blobs_round_trip():
    assert [blobs[0].as_py(), blobs[1].as_py()] == [b"alpha", b"beta"]


-def test_merge_insert_writes_python_bytes():
-    table = _blob_table("merge_bytes", [{"id": 1, "image": b"before"}])
-    result = (
-        table.merge_insert("id")
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .execute([{"id": 1, "image": b"updated"}, {"id": 2, "image": b"inserted"}])
-    )
-    assert result.num_updated_rows == 1
-    assert result.num_inserted_rows == 1
-    by_id = _row_ids_by_id(table)
-    blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-    assert blobs.to_pylist() == [b"updated", b"inserted"]
-
-
-def test_merge_insert_bytes_after_reopen_without_touching_blob_type(tmp_path):
-    db = lancedb.connect(tmp_path)
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    table = db.create_table("images", schema=schema)
-    table.add([{"id": 1, "image": b"hello"}])
-
-    script = textwrap.dedent(
-        f"""\
-        import lancedb
-
-        db = lancedb.connect({str(tmp_path)!r})
-        table = db.open_table("images")
-        image_type = table.schema.field("image").type
-        if type(image_type).__name__ != "StructType":
-            raise SystemExit(f"expected StructType, got {{type(image_type)}}")
-        result = (
-            table.merge_insert("id")
-            .when_matched_update_all()
-            .when_not_matched_insert_all()
-            .execute(
-                [{{"id": 1, "image": b"updated"}}, {{"id": 2, "image": b"inserted"}}]
-            )
-        )
-        if result.num_updated_rows != 1 or result.num_inserted_rows != 1:
-            raise SystemExit(
-                f"rows updated={{result.num_updated_rows}} "
-                f"inserted={{result.num_inserted_rows}}"
-            )
-        hits = table.search().with_row_id(True).limit(10).to_arrow()
-        by_id = dict(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
-        blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-        if blobs.to_pylist() != [b"updated", b"inserted"]:
-            raise SystemExit(blobs.to_pylist())
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_merge_insert_bytes_after_reopen_without_pylance(tmp_path):
-    db = lancedb.connect(tmp_path)
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    table = db.create_table("images", schema=schema)
-    table.add([{"id": 1, "image": b"hello"}])
-
-    script = _HIDE_LANCE_BLOB + textwrap.dedent(
-        f"""\
-        import lancedb
-
-        db = lancedb.connect({str(tmp_path)!r})
-        table = db.open_table("images")
-        image_type = table.schema.field("image").type
-        if type(image_type).__name__ != "StructType":
-            raise SystemExit(f"expected StructType, got {{type(image_type)}}")
-        result = (
-            table.merge_insert("id")
-            .when_matched_update_all()
-            .when_not_matched_insert_all()
-            .execute(
-                [{{"id": 1, "image": b"updated"}}, {{"id": 2, "image": b"inserted"}}]
-            )
-        )
-        if result.num_updated_rows != 1 or result.num_inserted_rows != 1:
-            raise SystemExit(
-                f"rows updated={{result.num_updated_rows}} "
-                f"inserted={{result.num_inserted_rows}}"
-            )
-        hits = table.search().with_row_id(True).limit(10).to_arrow()
-        by_id = dict(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
-        blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-        if blobs.to_pylist() != [b"updated", b"inserted"]:
-            raise SystemExit(blobs.to_pylist())
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_merge_insert_blob_array_into_reopened_unregistered_table(tmp_path):
-    db = lancedb.connect(tmp_path)
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    table = db.create_table("images", schema=schema)
-    table.add([{"id": 1, "image": b"before"}])
-
-    script = textwrap.dedent(
-        f"""\
-        import pyarrow as pa
-        import lancedb
-
-        db = lancedb.connect({str(tmp_path)!r})
-        table = db.open_table("images")
-        image_type = table.schema.field("image").type
-        if type(image_type).__name__ != "StructType":
-            raise SystemExit(
-                f"expected StructType before lance import, got {{type(image_type)}}"
-            )
-
-        import lance
-
-        updates = pa.Table.from_arrays(
-            [
-                pa.array([1, 2], type=pa.int64()),
-                lance.blob_array([b"updated", b"inserted"]),
-            ],
-            names=["id", "image"],
-        )
-        result = (
-            table.merge_insert("id")
-            .when_matched_update_all()
-            .when_not_matched_insert_all()
-            .execute(updates)
-        )
-        if result.num_updated_rows != 1 or result.num_inserted_rows != 1:
-            raise SystemExit(
-                f"rows updated={{result.num_updated_rows}} "
-                f"inserted={{result.num_inserted_rows}}"
-            )
-        hits = table.search().with_row_id(True).limit(10).to_arrow()
-        by_id = dict(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
-        blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-        if blobs.to_pylist() != [b"updated", b"inserted"]:
-            raise SystemExit(blobs.to_pylist())
-        """
-    )
-    result = subprocess.run(
-        [sys.executable, "-c", script],
-        capture_output=True,
-        text=True,
-        check=False,
-    )
-    assert result.returncode == 0, result.stderr
-
-
-def test_add_all_null_blob_column():
-    db = lancedb.connect("memory:///")
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    table = db.create_table("all_null", schema=schema)
-    table.add([{"id": 1, "image": None}, {"id": 2, "image": None}])
-    by_id = _row_ids_by_id(table)
-    blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-    assert blobs.to_pylist() == [None, None]
-
-
-def test_create_table_nested_blob_schema_without_rows():
-    db = lancedb.connect("memory:///")
-    schema = pa.schema(
-        [
-            pa.field("id", pa.int64()),
-            pa.field("info", pa.struct([lancedb.blob("blob")])),
-            pa.field("images", pa.list_(lancedb.blob("image"))),
-        ]
-    )
-    table = db.create_table("nested_empty", schema=schema)
-    assert table.count_rows() == 0
-
-
-def test_merge_insert_nested_blob_dicts():
-    db = lancedb.connect("memory:///")
-    info = pa.StructArray.from_arrays(
-        [
-            pa.array(["first"], type=pa.string()),
-            _blob_array("blob", [b"before"]),
-        ],
-        names=["name", "blob"],
-    )
-    data = pa.Table.from_arrays(
-        [pa.array([1], type=pa.int64()), info],
-        names=["id", "info"],
-    )
-    table = db.create_table("nested_merge", data=data)
-    result = (
-        table.merge_insert("id")
-        .when_matched_update_all()
-        .execute([{"id": 1, "info": {"name": "first", "blob": b"after"}}])
-    )
-    assert result.num_updated_rows == 1
-    by_id = _row_ids_by_id(table)
-    blobs = table.fetch_blobs("info.blob", [by_id[1]])
-    assert blobs.to_pylist() == [b"after"]
-
-
-def _list_blob_table(name):
-    db = lancedb.connect("memory:///")
-    blob_field = lancedb.blob("image")
-    images = pa.ListArray.from_arrays(
-        pa.array([0, 1], type=pa.int32()), _blob_array("image", [b"before"])
-    )
-    data = pa.Table.from_arrays(
-        [pa.array([1], type=pa.int64()), images],
-        schema=pa.schema(
-            [pa.field("id", pa.int64()), pa.field("images", pa.list_(blob_field))]
-        ),
-    )
-    return db.create_table(name, data=data)
-
-
-def test_merge_insert_list_blob_dicts():
-    table = _list_blob_table("list_merge")
-    result = (
-        table.merge_insert("id")
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .execute([{"id": 1, "images": [b"one", b"two"]}, {"id": 2, "images": None}])
-    )
-    assert result.num_updated_rows == 1
-    assert result.num_inserted_rows == 1
-    hits = table.search().limit(10).to_arrow()
-    sizes = {
-        row["id"]: None if row["images"] is None else [d["size"] for d in row["images"]]
-        for row in hits.to_pylist()
-    }
-    assert sizes == {1: [3, 3], 2: None}
-
-
-def test_list_blob_column_queries_as_raw_descriptors():
-    table = _list_blob_table("list_query")
-    hits = table.search().limit(10).to_arrow()
-    element = hits.schema.field("images").type.value_type
-    assert pa.types.is_struct(element)
-    assert "_lance_row_id" not in element.names
-    with pytest.raises(ValueError, match="expected struct before segment"):
-        table.fetch_blobs("images.image", [0])
-
-
-def test_row_addressable_paths_exclude_list_children():
-    from lancedb.schema import row_addressable_blob_v2_paths
-
-    schema = pa.schema(
-        [
-            pa.field("id", pa.int64()),
-            pa.field("info", pa.struct([lancedb.blob("blob")])),
-            pa.field("images", pa.list_(lancedb.blob("image"))),
-        ]
-    )
-    assert blob_v2_column_paths(schema) == ["info.blob", "images.image"]
-    assert row_addressable_blob_v2_paths(schema) == ["info.blob"]
-
-
-def test_merge_insert_writes_pylance_blob_array():
-    table = _blob_table("merge_pylance", [{"id": 1, "image": b"before"}])
-    image = lance.blob_array([b"updated", b"inserted"])
-    assert type(image.type) is LanceBlobType
-    assert type(image.type) is type(lancedb.BlobType())
-    updates = pa.Table.from_arrays(
-        [pa.array([1, 2], type=pa.int64()), image], names=["id", "image"]
-    )
-
-    result = (
-        table.merge_insert("id")
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .execute(updates)
-    )
-
-    assert result.num_updated_rows == 1
-    assert result.num_inserted_rows == 1
-    by_id = _row_ids_by_id(table)
-    blobs = table.fetch_blobs("image", [by_id[1], by_id[2]])
-    assert blobs.to_pylist() == [b"updated", b"inserted"]
-
-
 def test_fetch_blobs_accepts_query_result():
    table = _blob_table("from_result", [{"id": 1, "image": b"gamma"}])
    hits = table.search().limit(10).to_arrow()
@@ -713,25 +211,6 @@ def test_fetch_blobs_accepts_query_result():
    assert {blobs[i].as_py() for i in range(len(blobs))} == {b"gamma"}


-def test_fetch_blobs_after_compact_with_stable_row_ids(tmp_path):
-    db = lancedb.connect(
-        tmp_path, storage_options={"new_table_enable_stable_row_ids": "true"}
-    )
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    table = db.create_table("t", schema=schema)
-    table.add([{"id": 1, "image": b"frag-one"}])
-    table.add([{"id": 2, "image": b"frag-two"}])
-    by_id = _row_ids_by_id(table)
-    ids = [by_id[1], by_id[2]]
-
-    table.optimize()
-
-    blobs = table.fetch_blobs("image", ids)
-    assert blobs.to_pylist() == [b"frag-one", b"frag-two"]
-    ranges = table.fetch_blob_ranges("image", [(ids[0], 5, 3), (ids[1], 5, 3)])
-    assert ranges.to_pylist() == [b"one", b"two"]
-
-
 def test_fetch_blobs_preserves_null_and_empty_values():
    table = _blob_table(
        "nulls",
@@ -780,25 +259,8 @@ def test_fetch_blob_ranges_validates_requests():
    with pytest.raises(ValueError, match="offset \\+ length overflowed"):
        table.fetch_blob_ranges("image", [(row_id, 2**64 - 1, 1)])

-    with pytest.raises(ValueError) as exc_info:
+    with pytest.raises(ValueError, match="row IDs"):
        table.fetch_blob_ranges("image", [(2**64 - 1, 0, 1)])
-    _assert_missing_blob_row_ids(exc_info)
-
-
-def test_fetch_blob_apis_reject_missing_fragment_row_addr():
-    table = _blob_table("missing_frag", [{"id": 1, "image": b"x"}])
-    live = _row_ids_by_id(table)[1]
-    _assert_fetch_apis_reject_missing_row_ids(table, [1 << 32, live])
-
-
-def test_fetch_blob_apis_reject_deleted_row_ids():
-    table = _blob_table(
-        "deleted_rows",
-        [{"id": 1, "image": b"one"}, {"id": 2, "image": b"two"}],
-    )
-    by_id = _row_ids_by_id(table)
-    table.delete("id = 2")
-    _assert_fetch_apis_reject_missing_row_ids(table, [by_id[2], by_id[1]])


 def test_fetch_blob_ranges_empty_requests_returns_empty_array():
@@ -12,8 +12,6 @@ from datetime import date
 import http.server
 import json
 from pathlib import Path
-import subprocess
-import sys
 import threading
 from typing import Optional

@@ -21,13 +19,7 @@ import pyarrow as pa
 import pytest

 import lancedb
-from lancedb.functions import (
-    PythonRuntimeSpec,
-    UdfDefinition,
-    _canonical_arrow_type,
-    _GRAMMAR_PRIMITIVES,
-    udf,
-)
+from lancedb.functions import UdfDefinition, udf

 THRESHOLD = 20
 _CACHE = None
@@ -69,80 +61,6 @@ def test_scalar_udf_matches_shared_registration_golden_and_remains_callable():
    }


-def _main_udf_source(
-    *, threshold: int = 20, input_annotation: str = "int", comparison: str = ">="
-) -> str:
-    return (
-        "from __future__ import annotations\n"
-        "from lancedb.functions import udf\n"
-        f"THRESHOLD = {threshold}\n"
-        "\n"
-        "@udf\n"
-        f"def label(value: {input_annotation}) -> str:\n"
-        f"    return 'big' if value {comparison} THRESHOLD else 'small'\n"
-        "\n"
-        "assert label.__module__ == '__main__'\n"
-        "print(label.registration_request.to_canonical_json())\n"
-    )
-
-
-def _run_main_udf(path: Path, source: str) -> dict:
-    path.parent.mkdir(parents=True, exist_ok=True)
-    path.write_text(source)
-    result = subprocess.run(
-        [sys.executable, str(path)],
-        check=True,
-        capture_output=True,
-        text=True,
-    )
-    return json.loads(result.stdout)
-
-
-def test_main_udf_registration_identity_is_stable_across_processes_and_paths(
-    tmp_path,
-):
-    source = _main_udf_source()
-    original_path = tmp_path / "original" / "job.py"
-    moved_path = tmp_path / "moved" / "renamed_job.py"
-
-    original_runs = [_run_main_udf(original_path, source) for _ in range(2)]
-    moved_run = _run_main_udf(moved_path, source)
-
-    assert len({run["artifact"]["digest"] for run in [*original_runs, moved_run]}) == 1
-    assert all(
-        run["signature"] == original_runs[0]["signature"]
-        for run in [original_runs[1], moved_run]
-    )
-    assert original_runs[0] == original_runs[1] == moved_run
-
-    body_change = _run_main_udf(
-        tmp_path / "changes" / "body.py", _main_udf_source(comparison=">")
-    )
-    global_change = _run_main_udf(
-        tmp_path / "changes" / "global.py", _main_udf_source(threshold=21)
-    )
-    annotation_change = _run_main_udf(
-        tmp_path / "changes" / "annotation.py",
-        _main_udf_source(input_annotation="float"),
-    )
-
-    baseline = original_runs[0]
-    assert baseline["signature"] == body_change["signature"]
-    assert baseline["signature"] == global_change["signature"]
-    assert baseline["signature"] != annotation_change["signature"]
-    assert (
-        len(
-            {
-                baseline["artifact"]["digest"],
-                body_change["artifact"]["digest"],
-                global_change["artifact"]["digest"],
-                annotation_change["artifact"]["digest"],
-            }
-        )
-        == 4
-    )
-
-
 def _run_packaged(definition, *args):
    """Execute the shipped artifact in a fresh namespace, as a worker would."""
    source = base64.b64decode(definition.registration_request.artifact.content.data)
@@ -171,58 +89,6 @@ def test_udf_conda_environment():
        udf(name="channels", conda_channels=["conda-forge"])(lambda value: value)


-def test_udf_gpu_marker_uses_gpu_runtime():
-    @udf(pip=["cupy-cuda12x"], gpu=True)
-    def double_on_gpu(value: int) -> int:
-        return value * 2
-
-    request = json.loads(double_on_gpu.registration_request.to_canonical_json())
-    assert request["runtime"]["kind"] == "python_v2"
-    assert request["runtime"]["gpu"] is True
-
-    @udf(pip=["pyarrow"])
-    def cpu_function(value: int) -> int:
-        return value
-
-    cpu_runtime = json.loads(cpu_function.registration_request.to_canonical_json())[
-        "runtime"
-    ]
-    assert cpu_runtime["kind"] == "python"
-    assert "gpu" not in cpu_runtime
-
-    def identity(value: int) -> int:
-        return value
-
-    for invalid in [None, 0, 1, -1, 1.5, "", "true", "1", "H100"]:
-        with pytest.raises(ValueError, match="gpu must be a boolean"):
-            udf(name="invalid_gpu", gpu=invalid)(identity)
-
-    base_runtime = {
-        "kind": "python_v2",
-        "python_version": "3.12",
-        "environment": {"kind": "pip"},
-    }
-    runtime = PythonRuntimeSpec.model_validate({**base_runtime, "gpu": True})
-    assert runtime.gpu is True
-    for invalid in [False, 1, 0, "", "true", "1", "H100"]:
-        with pytest.raises(ValueError, match="runtime.gpu must be true"):
-            PythonRuntimeSpec.model_validate({**base_runtime, "gpu": invalid})
-
-
-def test_unknown_runtime_discards_payload_before_known_field_validation():
-    for payload in [
-        {"kind": "python_v3", "gpu": {"model": "H100"}},
-        {"kind": "python_v3", "resources": []},
-        {
-            "kind": "python_v3",
-            "environment": {"kind": []},
-            "python_version": 3.15,
-        },
-    ]:
-        runtime = PythonRuntimeSpec.model_validate(payload)
-        assert runtime.to_canonical_json() == '{"kind":"python_v3"}'
-
-
 def test_udf_packages_attribute_access_and_body_imports():
    @udf
    def word_norm(body: str) -> float:
@@ -302,7 +168,9 @@ def test_udf_resolves_module_globals_before_builtins(tmp_path):
        udf(module.uses_callable_shadow)


-def test_canonical_arrow_type_prefers_the_compact_grammar():
+def test_canonical_arrow_type_is_exactly_the_grammar():
+    from lancedb.functions import _GRAMMAR_PRIMITIVES, _canonical_arrow_type
+
    golden = json.loads(
        (
            Path(__file__).parents[3]
@@ -313,19 +181,14 @@ def test_canonical_arrow_type_prefers_the_compact_grammar():
        case["arrow_type"] for case in golden["valid"] if "<" not in case["arrow_type"]
    ]
    assert [name for _, name in _GRAMMAR_PRIMITIVES] == primitives
-    assert _canonical_arrow_type(pa.list_(pa.field("item", pa.float32(), False))) == (
-        "list<float32>"
-    )
-    assert (
-        _canonical_arrow_type(pa.large_list(pa.field("item", pa.float32(), False)))
-        == "large_list<float32>"
-    )
    for outside in [
        pa.timestamp("us"),
        pa.decimal128(10, 2),
+        pa.large_string(),
        pa.large_binary(),
        pa.binary(4),
        pa.duration("s"),
+        pa.struct([pa.field("a", pa.int32())]),
        pa.list_(pa.float32(), 0),
        pa.list_(pa.timestamp("us")),
    ]:
@@ -515,27 +378,14 @@ def test_udf_recursion_versus_a_rebound_module_name(tmp_path):
        udf(raw_fact)


-def test_canonical_arrow_type_uses_exact_json_for_list_child_properties():
-    nullable = pa.list_(pa.float32())
-    assert json.loads(_canonical_arrow_type(nullable)) == {
-        "type": "list",
-        "fields": [
-            {
-                "name": "item",
-                "nullable": True,
-                "type": {"type": "float32"},
-            }
-        ],
-    }
-    named = pa.list_(pa.field("custom", pa.float32(), nullable=False))
-    assert json.loads(_canonical_arrow_type(named))["fields"][0]["name"] == "custom"
+def test_canonical_arrow_type_rejects_unrepresentable_list_children():
+    from lancedb.functions import _canonical_arrow_type
+
    for outside in [
+        pa.list_(pa.float32()),  # pyarrow default: nullable child
+        pa.list_(pa.field("custom", pa.float32(), nullable=False)),
        pa.list_(pa.field("item", pa.float32(), nullable=False, metadata={"k": "v"})),
        pa.list_(pa.field("item", pa.float32(), nullable=False), 0),
-        pa.list_(
-            pa.field("item", pa.float32(), nullable=False, metadata={"k": "v"}), 3
-        ),
-        pa.list_(pa.field("custom", pa.float32(), nullable=False), 3),
    ]:
        with pytest.raises(TypeError, match="unsupported Arrow type"):
            _canonical_arrow_type(outside)
@@ -545,29 +395,6 @@ def test_canonical_arrow_type_uses_exact_json_for_list_child_properties():
        )
        == "fixed_size_list<float32, 3>"
    )
-    fixed = json.loads(_canonical_arrow_type(pa.list_(pa.float32(), 3)))
-    assert fixed == {
-        "type": "fixed_size_list",
-        "fields": [
-            {
-                "name": "item",
-                "nullable": True,
-                "type": {"type": "float32"},
-            }
-        ],
-        "length": 3,
-    }
-    large = json.loads(_canonical_arrow_type(pa.large_list(pa.float32())))
-    assert large["type"] == "large_list"
-    assert large["fields"][0]["nullable"] is True
-
-    for invalid_struct in [
-        pa.struct([]),
-        pa.struct([pa.field("a", pa.int32()), pa.field("a", pa.int64())]),
-        pa.struct([pa.field("", pa.int32())]),
-    ]:
-        with pytest.raises(TypeError, match="unsupported Arrow type"):
-            _canonical_arrow_type(invalid_struct)


 def _calls_missing(value: int) -> int:
@@ -605,7 +432,6 @@ def _arrow_type_from_golden(spec: dict) -> pa.DataType:
        "null": pa.null(),
        "bool": pa.bool_(),
        "utf8": pa.string(),
-        "large_utf8": pa.large_string(),
        "binary": pa.binary(),
        "float16": pa.float16(),
        "float32": pa.float32(),
@@ -622,6 +448,8 @@ def test_arrow_type_grammar_matches_the_shared_golden():
            / "rust/lancedb/tests/fixtures/first_class_functions/v1/arrow_types.json"
        ).read_text()
    )
+    from lancedb.functions import _canonical_arrow_type
+
    emitted = {
        case["arrow_type"]: _canonical_arrow_type(_arrow_type_from_golden(case["json"]))
        for case in golden["valid"]
@@ -654,432 +482,6 @@ def test_explicit_arrow_schema_is_deterministic():
    assert signature.output.nullable is False


-def test_blob_fields_use_the_scalar_function_semantic_type():
-    @udf(
-        input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
-        output_schema=lancedb.blob("result", nullable=False),
-    )
-    def copy_blob(image):
-        return image
-
-    signature = copy_blob.registration_request.signature
-    assert signature.inputs[0].arrow_type == "blob_v2"
-    assert signature.output.kind == "scalar"
-    assert signature.output.arrow_type == "blob_v2"
-
-
-def test_whole_named_struct_function_can_include_a_blob_result_field():
-    @udf(
-        input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
-        output_schema=pa.field(
-            "payload",
-            pa.struct(
-                [
-                    pa.field("mime_type", pa.string(), nullable=False),
-                    lancedb.blob("image", nullable=False),
-                ]
-            ),
-            nullable=False,
-        ),
-    )
-    def inspect_blob(image):
-        return {"mime_type": "image/png", "image": image}
-
-    output = inspect_blob.registration_request.signature.output
-    assert output.kind == "named_struct"
-    assert [(field.name, field.arrow_type) for field in output.fields] == [
-        ("mime_type", "utf8"),
-        ("image", "blob_v2"),
-    ]
-
-
-def test_struct_blob_signature_fields_preserve_exact_metadata_and_nullability():
-    nested_input = pa.field(
-        "payload",
-        pa.struct(
-            [
-                pa.field("mime_type", pa.string(), nullable=False),
-                pa.field(
-                    "nested",
-                    pa.struct([lancedb.blob("image", nullable=True)]),
-                    nullable=True,
-                ),
-            ]
-        ),
-        nullable=True,
-    )
-    nested_output = pa.field(
-        "result",
-        pa.struct(
-            [
-                pa.field("mime_type", pa.string(), nullable=False),
-                pa.field(
-                    "nested",
-                    pa.struct([lancedb.blob("image", nullable=True)]),
-                    nullable=False,
-                ),
-            ]
-        ),
-        nullable=False,
-    )
-
-    @udf(input_schema=pa.schema([nested_input]), output_schema=nested_output)
-    def copy_payload(payload):
-        return payload
-
-    signature = copy_payload.registration_request.signature
-    input_type = json.loads(signature.inputs[0].arrow_type)
-    assert input_type["fields"][1]["nullable"] is True
-    input_blob = input_type["fields"][1]["type"]["fields"][0]
-    assert input_blob["nullable"] is True
-    assert input_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
-
-    assert signature.output.kind == "named_struct"
-    nested_result = next(
-        field for field in signature.output.fields if field.name == "nested"
-    )
-    output_type = json.loads(nested_result.arrow_type)
-    output_blob = output_type["fields"][0]
-    assert output_blob["nullable"] is True
-    assert output_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
-
-
-def test_struct_blob_signature_supports_multiple_struct_levels():
-    recursive = pa.field(
-        "value",
-        pa.struct(
-            [
-                pa.field(
-                    "level_1",
-                    pa.struct(
-                        [
-                            pa.field(
-                                "level_2",
-                                pa.struct([lancedb.blob("image", nullable=False)]),
-                                nullable=False,
-                            )
-                        ]
-                    ),
-                    nullable=False,
-                )
-            ]
-        ),
-        nullable=False,
-    )
-
-    @udf(
-        input_schema=pa.schema([recursive]),
-        output_schema=pa.field("size", pa.int64(), nullable=False),
-    )
-    def blob_size(value):
-        return len(value["level_1"]["level_2"]["image"])
-
-    encoded = json.loads(blob_size.registration_request.signature.inputs[0].arrow_type)
-    blob = encoded["fields"][0]["type"]["fields"][0]["type"]["fields"][0]
-    assert blob["metadata"]["ARROW:extension:name"] == "lance.blob.v2"
-
-
-@pytest.mark.parametrize(
-    "data_type",
-    [
-        pa.list_(lancedb.blob("item", nullable=False)),
-        pa.large_list(lancedb.blob("item", nullable=False)),
-        pa.list_(lancedb.blob("item", nullable=False), 2),
-        pa.map_(pa.string(), lancedb.blob("value", nullable=False).type),
-    ],
-)
-def test_blob_signature_rejects_collection_ancestors(data_type):
-    with pytest.raises(
-        TypeError,
-        match="Blob v2 fields nested under collection types are not supported",
-    ):
-
-        @udf(
-            input_schema=pa.schema([pa.field("value", data_type, nullable=False)]),
-            output_schema=pa.field("size", pa.int64(), nullable=False),
-        )
-        def blob_size(value):
-            return len(value)
-
-
-def test_blob_signature_rejects_collection_below_a_struct():
-    nested = pa.field(
-        "value",
-        pa.struct(
-            [
-                pa.field(
-                    "images",
-                    pa.list_(lancedb.blob("item", nullable=False)),
-                    nullable=False,
-                )
-            ]
-        ),
-        nullable=False,
-    )
-    with pytest.raises(
-        TypeError,
-        match="Blob v2 fields nested under collection types are not supported",
-    ):
-
-        @udf(
-            input_schema=pa.schema([nested]),
-            output_schema=pa.field("size", pa.int64(), nullable=False),
-        )
-        def blob_size(value):
-            return len(value["images"])
-
-
-def test_named_struct_function_can_include_a_blob_result_field():
-    @udf(
-        input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
-        output_schema=pa.schema(
-            [
-                lancedb.blob("thumbnail", nullable=False),
-                pa.field("width", pa.int32(), nullable=False),
-            ]
-        ),
-    )
-    def inspect_blob(image):
-        return {"thumbnail": image, "width": 1}
-
-    output = inspect_blob.registration_request.signature.output
-    assert output.kind == "named_struct"
-    assert [(field.name, field.arrow_type) for field in output.fields] == [
-        ("thumbnail", "blob_v2"),
-        ("width", "int32"),
-    ]
-
-
-def test_named_struct_function_preserves_nullable_result_fields():
-    @udf(
-        input_schema=pa.schema([pa.field("value", pa.int64(), nullable=False)]),
-        output_schema=pa.schema(
-            [
-                pa.field("result", pa.int64(), nullable=True),
-                pa.field("failure_code", pa.int32(), nullable=False),
-            ]
-        ),
-    )
-    def nullable_result(value):
-        return {"result": value, "failure_code": 0}
-
-    output = nullable_result.registration_request.signature.output
-    assert [(field.name, field.nullable) for field in output.fields] == [
-        ("result", True),
-        ("failure_code", False),
-    ]
-
-    @udf(
-        input_schema=pa.schema([pa.field("value", pa.int64(), nullable=False)]),
-        output_schema=pa.schema(
-            [
-                pa.field("result", pa.int64(), nullable=True),
-                pa.field("failure_code", pa.int32(), nullable=True),
-            ]
-        ),
-    )
-    def all_nullable(value):
-        return {"result": value, "failure_code": None}
-
-    assert all(
-        field.nullable
-        for field in all_nullable.registration_request.signature.output.fields
-    )
-
-
-def test_metadata_marked_blob_field_uses_the_semantic_type():
-    extension = lancedb.blob("image", nullable=False).type
-    storage = (
-        extension.storage_type if isinstance(extension, pa.ExtensionType) else extension
-    )
-    metadata_blob = pa.field(
-        "image",
-        storage,
-        nullable=False,
-        metadata={"ARROW:extension:name": "lance.blob.v2"},
-    )
-
-    @udf(
-        input_schema=pa.schema([metadata_blob]),
-        output_schema=pa.field("size", pa.int64(), nullable=False),
-    )
-    def blob_size(image):
-        return len(image)
-
-    assert blob_size.registration_request.signature.inputs[0].arrow_type == "blob_v2"
-
-
-def test_blob_marker_rejects_invalid_storage_layout():
-    malformed = pa.field(
-        "image",
-        pa.int64(),
-        nullable=False,
-        metadata={"ARROW:extension:name": "lance.blob.v2"},
-    )
-
-    with pytest.raises(TypeError, match="requires a supported Blob storage layout"):
-
-        @udf(
-            input_schema=pa.schema([malformed]),
-            output_schema=pa.field("size", pa.int64(), nullable=False),
-        )
-        def blob_size(image):
-            return len(image)
-
-
-def test_nested_non_blob_extension_is_not_silently_unwrapped():
-    class TestExtension(pa.ExtensionType):
-        def __init__(self):
-            super().__init__(pa.int64(), "test.function.extension")
-
-        def __arrow_ext_serialize__(self):
-            return b""
-
-        @classmethod
-        def __arrow_ext_deserialize__(cls, storage_type, serialized):
-            return cls()
-
-    nested = pa.field(
-        "value",
-        pa.struct([pa.field("extended", TestExtension(), nullable=False)]),
-        nullable=False,
-    )
-    with pytest.raises(TypeError, match="unsupported Arrow type"):
-
-        @udf(
-            input_schema=pa.schema([nested]),
-            output_schema=pa.field("result", pa.int64(), nullable=False),
-        )
-        def extension_value(value):
-            return value["extended"]
-
-
-def test_explicit_large_utf8_schemas_use_the_canonical_function_name():
-    input_schema = pa.schema([pa.field("text", pa.large_string(), nullable=True)])
-    output_schema = pa.field("result", pa.large_string(), nullable=False)
-
-    @udf(input_schema=input_schema, output_schema=output_schema)
-    def preserve(text):
-        return text
-
-    signature = preserve.registration_request.signature
-    assert signature.inputs[0].arrow_type == "large_utf8"
-    assert signature.inputs[0].nullable is True
-    assert signature.output.arrow_type == "large_utf8"
-    assert signature.output.nullable is False
-
-    nested = pa.struct([pa.field("text", pa.large_string(), nullable=True)])
-    assert json.loads(_canonical_arrow_type(nested)) == {
-        "type": "struct",
-        "fields": [
-            {
-                "name": "text",
-                "nullable": True,
-                "type": {"type": "large_utf8"},
-            }
-        ],
-    }
-
-
-def test_nested_struct_output_uses_canonical_exact_json():
-    token = pa.struct(
-        [
-            pa.field("position", pa.int32(), nullable=False),
-            pa.field("value", pa.string(), nullable=False),
-            pa.field("length", pa.int32(), nullable=False),
-        ]
-    )
-    analysis = pa.struct(
-        [
-            pa.field("normalized_text", pa.string(), nullable=False),
-            pa.field("has_content", pa.bool_(), nullable=False),
-            pa.field(
-                "metrics",
-                pa.struct(
-                    [
-                        pa.field("character_count", pa.int64(), nullable=False),
-                        pa.field("word_count", pa.int32(), nullable=False),
-                        pa.field("average_word_length", pa.float64(), nullable=False),
-                    ]
-                ),
-                nullable=False,
-            ),
-            pa.field(
-                "diagnostics",
-                pa.struct(
-                    [
-                        pa.field("status", pa.string(), nullable=False),
-                        pa.field(
-                            "normalization",
-                            pa.struct(
-                                [
-                                    pa.field("changed", pa.bool_(), nullable=False),
-                                    pa.field(
-                                        "original_length", pa.int64(), nullable=False
-                                    ),
-                                ]
-                            ),
-                            nullable=False,
-                        ),
-                    ]
-                ),
-                nullable=False,
-            ),
-            pa.field(
-                "token_preview",
-                pa.list_(pa.field("item", token, nullable=False)),
-                nullable=False,
-            ),
-        ]
-    )
-
-    @udf(
-        input_schema=pa.schema([pa.field("text", pa.string(), nullable=False)]),
-        output_schema=pa.field("analysis", analysis, nullable=False),
-    )
-    def analyze(text):
-        return {"normalized_text": text}
-
-    output = analyze.registration_request.signature.output
-    assert output.kind == "named_struct"
-    assert [field.name for field in output.fields] == [
-        "normalized_text",
-        "has_content",
-        "metrics",
-        "diagnostics",
-        "token_preview",
-    ]
-    metrics = json.loads(output.fields[2].arrow_type)
-    assert metrics == {
-        "type": "struct",
-        "fields": [
-            {
-                "name": "character_count",
-                "nullable": False,
-                "type": {"type": "int64"},
-            },
-            {
-                "name": "word_count",
-                "nullable": False,
-                "type": {"type": "int32"},
-            },
-            {
-                "name": "average_word_length",
-                "nullable": False,
-                "type": {"type": "float64"},
-            },
-        ],
-    }
-    preview = json.loads(output.fields[4].arrow_type)
-    assert preview["type"] == "list"
-    assert preview["fields"][0]["type"]["type"] == "struct"
-    assert [field["name"] for field in preview["fields"][0]["type"]["fields"]] == [
-        "position",
-        "value",
-        "length",
-    ]
-
-
 def test_annotation_and_explicit_schema_validation_fail_closed():
    with pytest.raises(TypeError, match="missing Function annotations"):

@@ -1123,72 +525,6 @@ def test_annotation_and_explicit_schema_validation_fail_closed():
        def nullable_explicit(value):
            return value

-    for invalid_field in [
-        pa.field("", pa.int32(), nullable=False),
-        pa.field("result", pa.int32(), nullable=False, metadata={"k": "v"}),
-    ]:
-        with pytest.raises(TypeError, match="unsupported Arrow type"):
-
-            @udf(
-                input_schema=pa.schema([pa.field("value", pa.int64())]),
-                output_schema=pa.schema([invalid_field]),
-            )
-            def invalid_explicit_field(value):
-                return value
-
-    with pytest.raises(TypeError, match="unsupported Arrow type"):
-
-        @udf(
-            input_schema=pa.schema(
-                [pa.field("value", pa.int64(), metadata={"k": "v"})]
-            ),
-            output_schema=pa.int64(),
-        )
-        def input_field_metadata(value):
-            return value
-
-    with pytest.raises(TypeError, match="unsupported Arrow type"):
-
-        @udf(
-            input_schema=pa.schema([pa.field("value", pa.int64())]),
-            output_schema=pa.field(
-                "result", pa.int64(), nullable=False, metadata={"k": "v"}
-            ),
-        )
-        def scalar_output_field_metadata(value):
-            return value
-
-    struct_type = pa.struct([pa.field("value", pa.int64(), nullable=False)])
-    with pytest.raises(TypeError, match="unsupported Arrow type"):
-
-        @udf(
-            input_schema=pa.schema([pa.field("value", pa.int64())]),
-            output_schema=pa.field(
-                "result", struct_type, nullable=False, metadata={"k": "v"}
-            ),
-        )
-        def struct_output_field_metadata(value):
-            return {"value": value}
-
-    for input_schema, output_schema in [
-        (
-            pa.schema([pa.field("value", pa.int64())], metadata={"k": "v"}),
-            pa.int64(),
-        ),
-        (
-            pa.schema([pa.field("value", pa.int64())]),
-            pa.schema(
-                [pa.field("result", pa.int64(), nullable=False)],
-                metadata={"k": "v"},
-            ),
-        ),
-    ]:
-        with pytest.raises(TypeError, match="schema metadata"):
-
-            @udf(input_schema=input_schema, output_schema=output_schema)
-            def schema_metadata(value):
-                return value
-

 def test_local_function_catalog_operations_are_not_supported(tmp_path):
    db = lancedb.connect(tmp_path)
@@ -1199,10 +535,6 @@ def test_local_function_catalog_operations_are_not_supported(tmp_path):
        db.create_function_async(normalize_score)
    with pytest.raises(NotImplementedError, match=message):
        db.get_function("normalize_score", version="fv_exact")
-    with pytest.raises(NotImplementedError, match=message):
-        db.list_functions()
-    with pytest.raises(NotImplementedError, match=message):
-        db.drop_function("normalize_score", version="fv_exact")


@contextlib.contextmanager
@@ -1248,28 +580,6 @@ def _mock_remote_function_catalog():
                    "version": "fv_exact",
                }
                response = state["version"]
-            elif self.path == "/v1/functions/list":
-                assert body["include_definition"] is True
-                if "page_token" not in body:
-                    response = {
-                        "functions": [
-                            {
-                                "name": "normalize_score",
-                                "version": "fv_exact",
-                                "definition": state["version"],
-                            }
-                        ],
-                        "page_token": "next",
-                    }
-                else:
-                    assert body["page_token"] == "next"
-                    response = {"functions": []}
-            elif self.path == "/v1/functions/drop":
-                assert body == {
-                    "name": "normalize_score",
-                    "version": "fv_exact",
-                }
-                response = {"dropped": True}
            else:
                status = 404
                response = {"error": "not found"}
@@ -1328,83 +638,3 @@ def test_blocking_remote_registration_returns_function_version():
        "/v1/functions/create",
        "/v1/jobs/describe",
    ]
-
-
-def test_remote_list_functions_paginates_and_returns_typed_versions():
-    with _mock_remote_function_catalog() as (host, state):
-        db = lancedb.connect(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        created = db.create_function(normalize_score)
-        state["requests"].clear()
-        functions = db.list_functions()
-
-    assert functions == [created]
-    assert state["requests"] == [
-        ("/v1/functions/list", {"include_definition": True}),
-        (
-            "/v1/functions/list",
-            {"include_definition": True, "page_token": "next"},
-        ),
-    ]
-
-
-@pytest.mark.asyncio
-async def test_async_remote_list_functions_returns_typed_versions():
-    with _mock_remote_function_catalog() as (host, state):
-        db = await lancedb.connect_async(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        registration = await db.create_function_async(normalize_score)
-        created = await registration.wait()
-        state["requests"].clear()
-        functions = await db.list_functions()
-
-    assert functions == [created]
-    assert [path for path, _ in state["requests"]] == [
-        "/v1/functions/list",
-        "/v1/functions/list",
-    ]
-
-
-def test_remote_drop_function_sends_exact_version():
-    with _mock_remote_function_catalog() as (host, state):
-        db = lancedb.connect(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        assert db.drop_function("normalize_score", version="fv_exact") is True
-
-    assert state["requests"] == [
-        (
-            "/v1/functions/drop",
-            {"name": "normalize_score", "version": "fv_exact"},
-        )
-    ]
-
-
-@pytest.mark.asyncio
-async def test_async_remote_drop_function_sends_exact_version():
-    with _mock_remote_function_catalog() as (host, state):
-        db = await lancedb.connect_async(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        assert await db.drop_function("normalize_score", version="fv_exact") is True
-
-    assert state["requests"] == [
-        (
-            "/v1/functions/drop",
-            {"name": "normalize_score", "version": "fv_exact"},
-        )
-    ]
@@ -54,10 +54,7 @@ class TestOAuthProvider:
        provider = OAuthProvider(fetcher)
        headers = provider.get_headers()

-        assert headers == {
-            "Authorization": "Bearer token123",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers == {"Authorization": "Bearer token123"}
        assert provider._current_token == "token123"
        assert provider._token_expires_at is not None

@@ -76,20 +73,14 @@ class TestOAuthProvider:

        # First call
        headers1 = provider.get_headers()
-        assert headers1 == {
-            "Authorization": "Bearer token1",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers1 == {"Authorization": "Bearer token1"}

        # Wait for token to expire
        time.sleep(1.1)

        # Second call should refresh
        headers2 = provider.get_headers()
-        assert headers2 == {
-            "Authorization": "Bearer token2",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers2 == {"Authorization": "Bearer token2"}
        assert call_count == 2

    def test_no_expiry_info(self):
@@ -101,18 +92,12 @@ class TestOAuthProvider:
        provider = OAuthProvider(fetcher)
        headers = provider.get_headers()

-        assert headers == {
-            "Authorization": "Bearer permanent_token",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers == {"Authorization": "Bearer permanent_token"}
        assert provider._token_expires_at is None

        # Should not refresh on second call
        headers2 = provider.get_headers()
-        assert headers2 == {
-            "Authorization": "Bearer permanent_token",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers2 == {"Authorization": "Bearer permanent_token"}

    def test_missing_access_token(self):
        """Test error handling when access_token is missing."""
@@ -136,10 +121,7 @@ class TestOAuthProvider:
        provider = OAuthProvider(fetcher)
        headers = provider.get_headers()

-        assert headers == {
-            "Authorization": "Bearer sync_token",
-            "x-lancedb-credential-type": "oidc",
-        }
+        assert headers == {"Authorization": "Bearer sync_token"}


 class TestClientConfigIntegration:
@@ -266,38 +266,3 @@ async def test_async_namespace_connection_materialized_views(tmp_path):
            handle._route_pushdown_to_rust == through_namespace._route_pushdown_to_rust
        )
        assert handle._namespace_path == through_namespace._namespace_path
-
-
-def test_namespaced_select_kind_is_read_and_unknown_kinds_are_refused():
-    import json
-
-    import pyarrow as pa
-
-    from lancedb.materialized_view import _definition_from_schema
-
-    def schema_with(definition: dict) -> pa.Schema:
-        return pa.schema([pa.field("id", pa.int32())]).with_metadata(
-            {b"mv.definition": json.dumps(definition).encode()}
-        )
-
-    # "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.
-    definition = _definition_from_schema(
-        schema_with(
-            {
-                "kind": "namespaced_select",
-                "source_table": "people",
-                "source_namespace": ["ns"],
-                "projections": [{"output": "name", "expression": "name"}],
-            }
-        ),
-        "v",
-    )
-    assert definition.source_table == "people"
-    assert definition.source_namespace == ["ns"]
-
-    with pytest.raises(NotImplementedError, match="cannot refresh"):
-        _definition_from_schema(
-            schema_with({"kind": "select_v3", "source_table": "people"}), "v"
-        )
@@ -193,13 +193,7 @@ class TestNamespaceConnection:
            ),
        )

-        # Legacy v1 blob columns are only writable at file version <= 2.1.
-        table = db.create_table(
-            "blob_table",
-            data,
-            namespace_path=["test_ns"],
-            storage_options={"new_table_data_storage_version": "2.1"},
-        )
+        table = db.create_table("blob_table", data, namespace_path=["test_ns"])
        df = table.to_pandas(blob_mode="lazy").sort_values("id")

        blob = df["blob"].iloc[0]
@@ -40,10 +40,6 @@ from utils import exception_output
 from importlib.util import find_spec


-# Legacy v1 blob columns are only writable at file version <= 2.1.
-LEGACY_BLOB_STORAGE_OPTIONS = {"new_table_data_storage_version": "2.1"}
-
-
 def _blob_query_data():
    return pa.table(
        {
@@ -123,17 +119,13 @@ def _assert_blob_bytes_projection(df):

 def _blob_query_table(db, name, blob_schema):
    if blob_schema == "v1":
-        return db.create_table(
-            name, _blob_query_data(), storage_options=LEGACY_BLOB_STORAGE_OPTIONS
-        )
+        return db.create_table(name, _blob_query_data())
    return _create_blob_v2_query_table(db, name)


 async def _blob_query_table_async(db, name, blob_schema):
    if blob_schema == "v1":
-        return await db.create_table(
-            name, _blob_query_data(), storage_options=LEGACY_BLOB_STORAGE_OPTIONS
-        )
+        return await db.create_table(name, _blob_query_data())
    return await _create_blob_v2_query_table_async(db, name)


@@ -283,9 +275,7 @@ async def test_query_to_pandas_kwargs(table, table_async):
 def test_plain_scan_query_to_pandas_blob_modes(tmp_db, blob_mode):
    pytest.importorskip("lance")
    table = tmp_db.create_table(
-        f"test_query_to_pandas_blob_{blob_mode}",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        f"test_query_to_pandas_blob_{blob_mode}", _blob_query_data()
    )

    df = (
@@ -332,9 +322,7 @@ def test_plain_scan_query_to_pandas_blob_mode_does_not_collect_arrow(
 ):
    pytest.importorskip("lance")
    table = tmp_db.create_table(
-        "test_query_to_pandas_blob_no_arrow_collect",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        "test_query_to_pandas_blob_no_arrow_collect", _blob_query_data()
    )
    query = table.search().where("id = 1").select(["id", "blob"])

@@ -359,9 +347,7 @@ def test_plain_scan_query_to_pandas_blob_descriptions_flatten_uses_scanner(
 ):
    pytest.importorskip("lance")
    table = tmp_db.create_table(
-        "test_query_to_pandas_blob_desc_flatten",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        "test_query_to_pandas_blob_desc_flatten", _blob_query_data()
    )
    query = table.search().where("id = 1").select(["id", "blob"])

@@ -379,11 +365,7 @@ def test_plain_scan_query_to_pandas_blob_descriptions_flatten_uses_scanner(
 def test_plain_scan_query_to_pandas_scanner_state(tmp_db):
    pytest.importorskip("lance")
    data = _blob_query_data()
-    table = tmp_db.create_table(
-        "test_query_to_pandas_scanner_state",
-        data.slice(0, 2),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
-    )
+    table = tmp_db.create_table("test_query_to_pandas_scanner_state", data.slice(0, 2))
    table.add(data.slice(2, 2))

    fragments = table.to_lance().get_fragments()
@@ -418,9 +400,7 @@ def test_plain_scan_query_to_pandas_scanner_state(tmp_db):
 async def test_async_plain_scan_query_to_pandas_blob_projection(tmp_db_async):
    pytest.importorskip("lance")
    table = await tmp_db_async.create_table(
-        "test_async_query_to_pandas_blob_projection",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        "test_async_query_to_pandas_blob_projection", _blob_query_data()
    )

    lazy_df = await (
@@ -472,9 +452,7 @@ async def test_async_plain_scan_query_to_pandas_blob_mode_does_not_collect_arrow
 ):
    pytest.importorskip("lance")
    table = await tmp_db_async.create_table(
-        "test_async_query_to_pandas_blob_no_arrow_collect",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        "test_async_query_to_pandas_blob_no_arrow_collect", _blob_query_data()
    )
    query = table.query().where("id = 1").select(["id", "blob"])

@@ -496,11 +474,7 @@ async def test_async_plain_scan_query_to_pandas_blob_mode_does_not_collect_arrow

 def test_vector_query_to_pandas_blob_mode_requires_native_path(tmp_db):
    pytest.importorskip("lance")
-    table = tmp_db.create_table(
-        "test_vector_query_blob_mode",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
-    )
+    table = tmp_db.create_table("test_vector_query_blob_mode", _blob_query_data())

    with pytest.raises(RuntimeError, match="Lance native pandas conversion"):
        table.search([1.0, 0.0]).select(["blob", "vector"]).limit(1).to_pandas(
@@ -511,9 +485,7 @@ def test_vector_query_to_pandas_blob_mode_requires_native_path(tmp_db):
 def test_vector_query_to_pandas_blob_descriptions_requires_plain_scan(tmp_db):
    pytest.importorskip("lance")
    table = tmp_db.create_table(
-        "test_vector_query_blob_descriptions",
-        _blob_query_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
+        "test_vector_query_blob_descriptions", _blob_query_data()
    )

    with pytest.raises(RuntimeError, match="plain scan query"):
@@ -1951,21 +1923,6 @@ def test_take_queries(tmp_path):
        17,
    ]

-    # Duplicate offsets are occurrences, not set members. Ordering is unspecified.
-    assert sorted(table.take_offsets([5, 2, 5, 17]).to_pandas()["idx"].to_list()) == [
-        2,
-        5,
-        5,
-        17,
-    ]
-
-    # Converting a take builder to its serializable query representation must
-    # retain occurrence metadata and execute with the same multiplicity.
-    query = table.take_offsets([5, 2, 5, 17]).select(["idx"]).to_query_object()
-    assert query.take_offsets == [5, 2, 5, 17]
-    converted = table._execute_query(query).read_all()
-    assert sorted(converted["idx"].to_pylist()) == [2, 5, 5, 17]
-
    # Take by row id
    assert list(
        sorted(table.take_row_ids([5, 2, 17]).to_pandas()["idx"].to_list())
@@ -479,49 +479,24 @@ def test_remote_permutation_is_picklable():
                match = re.search(
                    r"_rowoffset\s+in\s+\((.*?)\)", body["filter"], re.IGNORECASE
                )
-                offsets = list(
-                    dict.fromkeys(int(o.strip()) for o in match.group(1).split(","))
-                )
+                offsets = [int(o.strip()) for o in match.group(1).split(",")]
            else:
                offsets = list(range(len(rows)))
-            columns = body.get("columns") or ["a"]
-            table = pa.table(
-                {
-                    column: (
-                        [rows[offset] for offset in offsets]
-                        if column == "a"
-                        else offsets
-                    )
-                    for column in columns
-                }
-            )
+            table = pa.table({"a": [rows[offset] for offset in offsets]})

            request.send_response(200)
            request.send_header("Content-Type", "application/vnd.apache.arrow.file")
            request.end_headers()
            with pa.ipc.new_file(request.wfile, schema=table.schema) as writer:
-                writer.write_table(table, max_chunksize=2)
+                writer.write_table(table)
        else:
            request.send_response(404)
            request.end_headers()

    with mock_lancedb_connection(handler) as db:
-        table = db.open_table("test")
-        assert table.take_offsets([0, 2, 0, 4]).to_list() == [
-            {"a": 0},
-            {"a": 0},
-            {"a": 2},
-            {"a": 4},
-        ]
-
-        permutation = Permutation.identity(table)
+        permutation = Permutation.identity(db.open_table("test"))
        restored = pickle.loads(pickle.dumps(permutation))
-        assert restored.__getitems__([0, 2, 0, 4]) == [
-            {"a": 0},
-            {"a": 2},
-            {"a": 0},
-            {"a": 4},
-        ]
+        assert restored.__getitems__([0, 2, 4]) == [{"a": 0}, {"a": 2}, {"a": 4}]


 def test_create_table_exist_ok():
@@ -820,13 +795,11 @@ def test_table_create_indices():
        scalar_req = received_requests[0]
        assert "name" in scalar_req
        assert scalar_req["name"] == "custom_scalar_idx"
-        assert scalar_req["replace"] is False

        # Check FTS index request has custom name
        fts_req = received_requests[1]
        assert "name" in fts_req
        assert fts_req["name"] == "custom_fts_idx"
-        assert fts_req["replace"] is False
        assert fts_req["block_size"] == 256
        assert fts_req["custom_stop_words"] == ["cloud"]

@@ -834,7 +807,6 @@ def test_table_create_indices():
        vector_req = received_requests[2]
        assert "name" in vector_req
        assert vector_req["name"] == "custom_vector_idx"
-        assert "replace" not in vector_req

        table.wait_for_index(["custom_scalar_idx"], timedelta(seconds=2))
        table.wait_for_index(
@@ -1107,9 +1079,6 @@ def test_remote_create_index_new_api():
            table.create_index("text", config=FTS(block_size=256))
            # IvfRq via new API
            table.create_index("vector", config=IvfRq(distance_type="l2"))
-            table.create_index(
-                "vector", config=IvfPq(distance_type="l2"), replace=False
-            )

        # Legacy index_type="IVF_RQ" routes to IvfRq config under the hood.
        with pytest.warns(DeprecationWarning, match="create_index"):
@@ -1119,17 +1088,15 @@ def test_remote_create_index_new_api():
                num_partitions=8,
            )

-        assert len(received_requests) == 6
+        assert len(received_requests) == 5
        assert [req["column"] for req in received_requests] == [
            "vector",
            "category",
            "text",
            "vector",
            "vector",
-            "vector",
        ]
        assert received_requests[2]["block_size"] == 256
-        assert received_requests[4]["replace"] is False


 def test_table_wait_for_index_timeout():
@@ -1311,9 +1278,9 @@ def test_get_lsm_stats_sync():
    with lsm_test_table(lsm_handler) as table:
        assert table.get_lsm_stats() == {"buckets": [bucket]}
        # Off by default, and forwarded when asked for.
-        assert seen_bodies == [{"include_generation_rows": False}]
-        table.get_lsm_stats(include_generation_rows=True)
-        assert seen_bodies[-1] == {"include_generation_rows": True}
+        assert seen_bodies == [{"include_sstable_rows": False}]
+        table.get_lsm_stats(include_sstable_rows=True)
+        assert seen_bodies[-1] == {"include_sstable_rows": True}


 def test_get_lsm_stats_sync_returns_none_when_lsm_disabled():
@@ -1342,7 +1309,7 @@ def test_flush_and_compact_lsm_sync():


 def test_checkpoint_lsm_sync():
-    """Seal, read the watermark, and return once L0 holds nothing.
+    """Freeze, read the watermark, and return once no SSTables remain.

    The convergence loop itself is covered in Rust; this pins the sync
    binding to the endpoints it drives.
@@ -1352,7 +1319,7 @@ def test_checkpoint_lsm_sync():
    def lsm_handler(request, route):
        called.append(route)
        if route == "get_lsm_stats":
-            # An empty L0 yields no target watermark, so the loop is done
+            # An empty SSTable tier yields no target watermark, so the loop is done
            # after the seal without ever polling compaction.
            send_json(request, {"lsm_stats": {"buckets": []}})
        else:
@@ -2467,7 +2434,7 @@ def test_remote_blob_byte_apis_not_supported_on_old_server():


 def test_remote_connection_jobs_surface():
-    from lancedb.exceptions import JobFailedError, JobNotFoundError
+    from lancedb.exceptions import JobFailedError

    schema = pa.schema([("state", pa.string())])
    batch = pa.record_batch([pa.array(["created", "done"])], schema=schema)
@@ -2475,7 +2442,6 @@ def test_remote_connection_jobs_surface():
    with pa.ipc.new_stream(sink, schema) as writer:
        writer.write_batch(batch)
    events_body = sink.getvalue().to_pybytes()
-    query_events_payloads = []

    def handler(request):
        content_len = int(request.headers.get("Content-Length", 0))
@@ -2513,22 +2479,6 @@ def test_remote_connection_jobs_surface():
            request.end_headers()
            request.wfile.write(json.dumps(rsp).encode())
        elif request.path == "/v1/jobs/describe":
-            if payload["job_id"] == "job-2":
-                request.send_response(200)
-                request.send_header("Content-Type", "application/json")
-                request.end_headers()
-                request.wfile.write(
-                    json.dumps(
-                        dict(
-                            job_id="job-2",
-                            job_type="refresh_column",
-                            job_state="DONE",
-                            creation_ms=2000,
-                            result=dict(rows_assigned=1000000, rows_failed=0),
-                        )
-                    ).encode()
-                )
-                return
            if payload["job_id"] != "job-1":
                request.send_response(404)
                request.end_headers()
@@ -2560,7 +2510,7 @@ def test_remote_connection_jobs_surface():
            request.end_headers()
            request.wfile.write(b'{"job_id": "job-1"}')
        elif request.path == "/v1/jobs/query_events":
-            query_events_payloads.append(payload)
+            assert payload["job_id"] == "job-1"
            request.send_response(200)
            request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
            request.end_headers()
@@ -2576,109 +2526,24 @@ def test_remote_connection_jobs_surface():
        assert jobs[0].table == "t1"
        assert jobs[1].state == "finished"

+        description = db.get_job("job-1")
+        assert description.job_type == "create_index"
+        assert description.state == "failed"
+        assert json.loads(description.spec_json) == {"column": "vec"}
+        assert description.failure.message == "worker died"
+        assert description.failure.retryable is True
+        assert db.get_job("missing") is None
+
        assert db.cancel_job("job-1") is True
        assert db.cancel_job("missing") is False

-        # Opening a job hands back a populated handle; a missing one fails.
-        with pytest.raises(JobNotFoundError, match="missing"):
-            db.open_job("missing")
-        finished = db.open_job("job-2")
-        assert finished.state == "finished"
-        assert finished.result == {"rows_assigned": 1000000, "rows_failed": 0}
+        batches = db.job_history("job-1")
+        assert len(batches) == 1
+        assert batches[0].num_rows == 2
+        assert batches[0].column("state").to_pylist() == ["created", "done"]

-        job = db.open_job("job-1")
+        job = db.job("job-1")
        assert job.id == "job-1"
-        # Opening already populated the handle.
-        assert job.state == "failed"
-        assert job.spec == {"column": "vec"}
-        assert job.failure.message == "worker died"
        assert job.status() == "failed"
        with pytest.raises(JobFailedError, match="worker died"):
            job.wait(timeout=timedelta(seconds=5))
-
-
-def test_remote_job_handle_reports_its_own_detail():
-    schema = pa.schema([("state", pa.string())])
-    batch = pa.record_batch([pa.array(["claim_complete"])], schema=schema)
-    sink = pa.BufferOutputStream()
-    with pa.ipc.new_stream(sink, schema) as writer:
-        writer.write_batch(batch)
-    events_body = sink.getvalue().to_pybytes()
-    event_payloads = []
-
-    def handler(request):
-        content_len = int(request.headers.get("Content-Length", 0))
-        body = request.rfile.read(content_len) if content_len > 0 else b""
-        payload = json.loads(body) if body else {}
-        if request.path == "/v1/jobs/describe":
-            request.send_response(200)
-            request.send_header("Content-Type", "application/json")
-            request.end_headers()
-            request.wfile.write(
-                json.dumps(
-                    dict(
-                        job_id="job-1",
-                        job_type="refresh_column",
-                        job_state="DONE",
-                        creation_ms=2000,
-                        spec=dict(column="vec"),
-                        result=dict(rows_assigned=1000000),
-                    )
-                ).encode()
-            )
-        elif request.path == "/v1/jobs/query_events":
-            event_payloads.append(payload)
-            request.send_response(200)
-            request.send_header("Content-Type", "application/vnd.apache.arrow.stream")
-            request.end_headers()
-            request.wfile.write(events_body)
-        else:
-            request.send_response(404)
-            request.end_headers()
-
-    with mock_lancedb_connection(handler) as db:
-        job = db.open_job("job-1")
-
-        # Opening populates the handle in the same round trip.
-        assert job.state == "finished"
-        job.refresh()
-        assert job.job_type == "refresh_column"
-        assert job.creation_ms == 2000
-        assert job.spec == {"column": "vec"}
-        assert job.result == {"rows_assigned": 1000000}
-        assert job.failure is None
-        # The JSON payloads stay reachable, but as internal APIs.
-        assert json.loads(job._spec_json) == {"column": "vec"}
-        assert json.loads(job._result_json) == {"rows_assigned": 1000000}
-
-        # print() shows everything the handle knows and nothing it does not.
-        # print() lays every known field out on its own line, with the JSON
-        # payloads indented rather than crammed onto one line.
-        assert repr(job) == "\n".join(
-            [
-                "Job(",
-                "    id='job-1',",
-                "    state='finished',",
-                "    job_type='refresh_column',",
-                "    creation_ms=2000,",
-                "    spec={",
-                '        "column": "vec"',
-                "    },",
-                "    result={",
-                '        "rows_assigned": 1000000',
-                "    },",
-                ")",
-            ]
-        )
-        # Nothing it does not know shows up.
-        assert "failure" not in repr(job)
-
-        events = job.events(filter="state = 'claim_complete'", limit=500)
-        assert isinstance(events, pa.Table)
-        assert events.column("state").to_pylist() == ["claim_complete"]
-        # The handle supplies job_id; the caller only narrows the query.
-        assert event_payloads[-1] == {
-            "job_id": "job-1",
-            "limit": 500,
-            "filter": "state = 'claim_complete'",
-        }
@@ -1,162 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-from uuid import UUID
-
-import pytest
-import pyarrow as pa
-
-import lancedb
-from lancedb import _lancedb
-from lancedb.arrow import AsyncRecordBatchReader
-from lancedb.db import AsyncConnection
-from lancedb.remote.db import RemoteDBConnection
-from lancedb.sql import AsyncQuery, Query
-
-NIL_QUERY_ID = UUID(int=0)
-
-
-class FakeNativeQuery:
-    id = UUID("0198f1b2-c3d4-7e5f-8123-456789abcdef")
-
-    async def reader(self):
-        return pa.table({"value": [1, 2]})
-
-
-class FakeNativeConnection:
-    async def execute_query_async(self, query, *, default_namespace_path=None):
-        return FakeNativeQuery()
-
-
-class FakeAsyncConnection:
-    async def execute_query_async(self, query, *, default_namespace_path=None):
-        return AsyncQuery(FakeNativeQuery())
-
-
-def remote_connection(sql_host_override=None):
-    return lancedb.connect(
-        "db://analytics",
-        api_key="test-key",
-        host_override="http://localhost:10024",
-        sql_host_override=sql_host_override,
-    )
-
-
-def test_sql_is_connection_scoped():
-    assert hasattr(lancedb, "sql")
-    assert not callable(lancedb.sql)
-    assert not hasattr(_lancedb, "sql")
-    assert not hasattr(remote_connection(), "sql")
-    assert hasattr(remote_connection(), "execute_query")
-    assert hasattr(remote_connection(), "execute_query_async")
-    assert hasattr(remote_connection(), "describe_query")
-
-
-def test_query_id_is_uuid():
-    query = AsyncQuery(FakeNativeQuery())
-    assert isinstance(query.id, UUID)
-    assert Query(query).id == query.id
-
-
-def test_connection_serializes_sql_host_override():
-    endpoint = "grpc+tls://sql.example.com:10026"
-    restored = lancedb.deserialize_conn(
-        remote_connection(sql_host_override=endpoint).serialize()
-    )
-    assert restored.sql_host_override == endpoint
-
-
-@pytest.mark.asyncio
-async def test_async_sql_reader_is_record_batch_stream():
-    reader = await AsyncQuery(FakeNativeQuery()).reader()
-    assert isinstance(reader, AsyncRecordBatchReader)
-    assert (await reader.read_all())[0].column(0).to_pylist() == [1, 2]
-
-
-def test_sync_sql_reader_is_record_batch_reader():
-    reader = Query(AsyncQuery(FakeNativeQuery())).reader()
-    assert isinstance(reader, pa.RecordBatchReader)
-    assert reader.read_all().column(0).to_pylist() == [1, 2]
-
-
-def test_execute_query_returns_blocking_reader():
-    connection = RemoteDBConnection.__new__(RemoteDBConnection)
-    connection._conn = FakeAsyncConnection()
-    reader = connection.execute_query("SELECT 1")
-    assert isinstance(reader, pa.RecordBatchReader)
-    assert reader.read_all().column(0).to_pylist() == [1, 2]
-
-
-@pytest.mark.asyncio
-async def test_async_execute_query_returns_async_reader():
-    connection = AsyncConnection(FakeNativeConnection())
-    reader = await connection.execute_query("SELECT 1")
-    assert isinstance(reader, AsyncRecordBatchReader)
-    assert (await reader.read_all())[0].column(0).to_pylist() == [1, 2]
-
-
-def test_local_connection_rejects_sql(tmp_path):
-    connection = lancedb.connect(tmp_path)
-    with pytest.raises(NotImplementedError, match="SQL"):
-        connection.execute_query("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        connection.execute_query_async("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        connection.describe_query(NIL_QUERY_ID)
-
-
-@pytest.mark.asyncio
-async def test_local_async_connection_rejects_sql(tmp_path):
-    connection = await lancedb.connect_async(tmp_path)
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.execute_query("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.execute_query_async("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.describe_query(NIL_QUERY_ID)
-
-
-@pytest.mark.asyncio
-async def test_async_namespace_connection_rejects_sql(tmp_path):
-    connection = lancedb.connect_namespace_async("dir", {"root": str(tmp_path)})
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.execute_query("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.execute_query_async("SELECT 1")
-    with pytest.raises(NotImplementedError, match="SQL"):
-        await connection.describe_query(NIL_QUERY_ID)
-
-
-def test_describe_query_requires_uuid():
-    with pytest.raises(TypeError, match="UUID"):
-        remote_connection().describe_query(str(NIL_QUERY_ID))
-
-
-@pytest.mark.parametrize(
-    "default_namespace_path",
-    ["public", ("public",), [1]],
-)
-def test_execute_query_async_requires_namespace_path_list(default_namespace_path):
-    with pytest.raises(ValueError, match="default_namespace_path"):
-        remote_connection().execute_query_async(
-            "SELECT 1", default_namespace_path=default_namespace_path
-        )
-
-
-def test_execute_query_async_rejects_invalid_endpoint():
-    connection = remote_connection(sql_host_override="invalid://localhost")
-    with pytest.raises(ValueError, match="sql_host_override"):
-        connection.execute_query_async("SELECT 1")
-
-
-@pytest.mark.parametrize(
-    "default_namespace_path",
-    [[""], ["café"], ["pub\tlic"], ["events$raw"]],
-)
-def test_execute_query_async_rejects_invalid_namespace_components(
-    default_namespace_path,
-):
-    with pytest.raises(ValueError, match="default_namespace_path"):
-        remote_connection().execute_query_async(
-            "SELECT 1", default_namespace_path=default_namespace_path
-        )
@@ -64,23 +64,15 @@ async def _blob_v2_table_async(db: AsyncConnection, name: str):
    return table


-# Legacy v1 blob columns are only writable at file version <= 2.1.
-LEGACY_BLOB_STORAGE_OPTIONS = {"new_table_data_storage_version": "2.1"}
-
-
 def _blob_table(db: DBConnection, name: str, blob_schema: str):
    if blob_schema == "v1":
-        return db.create_table(
-            name, data=_blob_test_data(), storage_options=LEGACY_BLOB_STORAGE_OPTIONS
-        )
+        return db.create_table(name, data=_blob_test_data())
    return _blob_v2_table(db, name)


 async def _blob_table_async(db: AsyncConnection, name: str, blob_schema: str):
    if blob_schema == "v1":
-        return await db.create_table(
-            name, data=_blob_test_data(), storage_options=LEGACY_BLOB_STORAGE_OPTIONS
-        )
+        return await db.create_table(name, data=_blob_test_data())
    return await _blob_v2_table_async(db, name)


@@ -155,11 +147,7 @@ def test_table_to_pandas_invalid_blob_mode_non_blob_table(tmp_db: DBConnection):
@pytest.mark.parametrize("blob_mode", ["lazy", "bytes", "descriptions"])
 def test_table_to_pandas_blob_modes(tmp_db: DBConnection, blob_mode):
    pytest.importorskip("lance")
-    table = tmp_db.create_table(
-        f"test_to_pandas_blob_{blob_mode}",
-        _blob_test_data(),
-        storage_options=LEGACY_BLOB_STORAGE_OPTIONS,
-    )
+    table = tmp_db.create_table(f"test_to_pandas_blob_{blob_mode}", _blob_test_data())

    df = table.to_pandas(blob_mode=blob_mode)

@@ -2694,43 +2682,6 @@ def test_merge_insert(mem_db: DBConnection):
        )


-def test_merge_insert_composite_key(mem_db: DBConnection):
-    table = mem_db.create_table(
-        "my_table",
-        data=pa.table(
-            {
-                "shard": ["a", "a", "b"],
-                "id": [1, 2, 1],
-                "val": ["x", "y", "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.
-    new_data = pa.table({"shard": ["a", "b"], "id": [1, 2], "val": ["X", "W"]})
-    res = (
-        table.merge_insert(["shard", "id"])
-        .when_matched_update_all()
-        .when_not_matched_insert_all()
-        .execute(new_data)
-    )
-    assert res.num_updated_rows == 1
-    assert res.num_inserted_rows == 1
-
-    expected = pa.table(
-        {
-            "shard": ["a", "a", "b", "b"],
-            "id": [1, 2, 1, 2],
-            "val": ["X", "y", "z", "W"],
-        }
-    )
-    assert table.to_arrow().sort_by([("shard", "ascending"), ("id", "ascending")]) == (
-        expected
-    )
-
-
 def test_merge_insert_nullable_pandas_into_pydantic_schema(mem_db: DBConnection):
    # Regression test for https://github.com/lancedb/lancedb/issues/2366
    pd = pytest.importorskip("pandas")
@@ -3971,7 +3922,7 @@ def test_stats(mem_db: DBConnection):
    print(f"{stats=}")
    assert stats == {
        # Full on-disk size of the data file, footer and metadata included.
-        "total_bytes": 637,
+        "total_bytes": 633,
        "num_rows": 2,
        "num_indices": 0,
        "fragment_stats": {
@@ -4136,29 +4087,6 @@ def test_computed_column_rejects_transforms_and_computed_together(tmp_path):
        table.add_columns({"a": "x + 1"}, computed={"b": "x * 2"})


-def test_computed_column_blob_projection_inherits_semantics(tmp_path):
-    schema = pa.schema([pa.field("id", pa.int64()), lancedb.blob("image")])
-    db = lancedb.connect(tmp_path)
-    table = db.create_table("computed_column_blob", schema=schema)
-    table.add(
-        [
-            {"id": 1, "image": b"hello"},
-            {"id": 2, "image": b""},
-            {"id": 3, "image": None},
-        ]
-    )
-
-    table.add_columns(computed={"image_copy": "image", "second_copy": "image_copy"})
-    assert table.refresh_column("image_copy").rows_filled == 2
-    assert table.refresh_column("second_copy").rows_filled == 2
-    assert table.blob_columns() == ["image", "image_copy", "second_copy"]
-
-    hits = table.search().with_row_id(True).limit(10).to_arrow()
-    rows = sorted(zip(hits["id"].to_pylist(), hits["_rowid"].to_pylist()))
-    copied = table.fetch_blobs("second_copy", [row_id for _, row_id in rows])
-    assert copied.to_pylist() == [b"hello", b"", None]
-
-
@pytest.mark.asyncio
 async def test_computed_column_async(tmp_path):
    db = await lancedb.connect_async(tmp_path)
@@ -4183,14 +4111,13 @@ def test_refresh_column_async_returns_job(tmp_path):
    assert result.rows_failed == 0
    assert result.rows_remaining == 0
    assert result.source_version == 2
-    # The fill lands at 3; the stamp recording its inputs is published at 4.
-    assert result.published_version == 4
+    assert result.published_version == 3
    assert job.status() == "finished"
    assert sorted(table.to_arrow()["doubled"].to_pylist()) == [2, 4]

    no_op = table.refresh_column_async("doubled").wait()
    assert no_op.rows_assigned == 0
-    assert no_op.source_version == 4
+    assert no_op.source_version == 3
    assert no_op.published_version is None

    # Bad input raises at the call, not through the job.
@@ -4209,6 +4136,6 @@ async def test_refresh_column_async_job_async_table(tmp_path):
    assert isinstance(result, lancedb.RefreshColumnResult)
    assert result.rows_assigned == 1
    assert result.source_version == 2
-    assert result.published_version == 4
+    assert result.published_version == 3
    assert await job.status() == "finished"
    assert (await table.to_arrow())["tripled"].to_pylist() == [9]
@@ -7,7 +7,6 @@ import pathlib
 from typing import Optional

 import lance
-from lance.blob import BlobType as LanceBlobType
 from lancedb.conftest import MockTextEmbeddingFunction
 from lancedb.embeddings.base import EmbeddingFunctionConfig
 from lancedb.embeddings.registry import EmbeddingFunctionRegistry
@@ -908,165 +907,6 @@ def test_cast_to_target_schema():
    assert output == expected


-def test_cast_to_target_schema_coerces_binary_to_blob_v2():
-    data = pa.table({"image": pa.array([b"hello", None], type=pa.binary())})
-    target = pa.schema([lancedb.blob("image")])
-
-    output = _cast_to_target_schema(data.to_reader(), target).read_all()
-
-    image = output["image"].chunk(0)
-    assert type(image.type) is lancedb.BlobType
-    assert image.storage.to_pylist() == [
-        {"data": b"hello", "uri": None, "position": None, "size": None},
-        None,
-    ]
-
-
-def test_cast_to_target_schema_coerces_binary_to_metadata_blob_struct():
-    storage = lancedb.blob("image").type.storage_type
-    target = pa.schema(
-        [
-            pa.field(
-                "image",
-                storage,
-                metadata={
-                    b"ARROW:extension:name": b"lance.blob.v2",
-                    b"ARROW:extension:metadata": b"",
-                },
-            )
-        ]
-    )
-    data = pa.table({"image": pa.array([b"hello", None], type=pa.binary())})
-
-    output = _cast_to_target_schema(data.to_reader(), target).read_all()
-
-    image = output["image"].chunk(0)
-    assert not isinstance(image.type, pa.ExtensionType)
-    assert image.to_pylist() == [
-        {"data": b"hello", "uri": None, "position": None, "size": None},
-        None,
-    ]
-
-
-def test_cast_to_target_schema_coerces_nested_binary_blob():
-    data = pa.table(
-        {
-            "info": pa.array(
-                [{"blob": b"hello"}, {"blob": None}],
-                type=pa.struct([pa.field("blob", pa.binary())]),
-            )
-        }
-    )
-    target = pa.schema([pa.field("info", pa.struct([lancedb.blob("blob")]))])
-
-    output = _cast_to_target_schema(data.to_reader(), target).read_all()
-
-    blob = output["info"].chunk(0).field("blob")
-    assert type(blob.type) is lancedb.BlobType
-    assert blob.storage.to_pylist() == [
-        {"data": b"hello", "uri": None, "position": None, "size": None},
-        None,
-    ]
-
-
-def test_cast_to_target_schema_coerces_list_binary_blob_with_inferred_child_name():
-    data = pa.table(
-        {"images": pa.array([[b"a", b"b"], None], type=pa.list_(pa.binary()))}
-    )
-    target = pa.schema([pa.field("images", pa.list_(lancedb.blob("image")))])
-
-    output = _cast_to_target_schema(data.to_reader(), target).read_all()
-
-    images = output["images"].chunk(0)
-    assert images.type.value_field.name == "image"
-    assert type(images.type.value_type) is lancedb.BlobType
-    assert images.to_pylist()[1] is None
-    assert images.values.storage.to_pylist() == [
-        {"data": b"a", "uri": None, "position": None, "size": None},
-        {"data": b"b", "uri": None, "position": None, "size": None},
-    ]
-
-
-def test_list_blob_coercion_preserves_null_slots_with_nonzero_extent():
-    child = pa.field("image", pa.binary())
-    source = pa.ListArray.from_arrays(
-        pa.array([0, 2, 4], type=pa.int32()),
-        pa.array([b"a", b"b", b"dead", b"beef"], type=pa.binary()),
-        mask=pa.array([False, True]),
-    ).cast(pa.list_(child))
-    target = pa.schema([pa.field("images", pa.list_(lancedb.blob("image")))])
-
-    output = _cast_to_target_schema(
-        pa.table({"images": source}).to_reader(), target
-    ).read_all()
-
-    images = output["images"].chunk(0)
-    assert images.to_pylist()[1] is None
-    assert [b["data"] for b in images.to_pylist()[0]] == [b"a", b"b"]
-
-
-def test_fixed_size_list_blob_coercion_keeps_null_rows():
-    child = pa.field("frame", pa.binary())
-    source = (
-        pa.FixedSizeListArray.from_arrays(
-            pa.array([b"a", b"b", b"c", b"d"], type=pa.binary()), 2
-        )
-        .take(pa.array([0, None], type=pa.int32()))
-        .cast(pa.list_(child, 2))
-    )
-    target = pa.schema([pa.field("frames", pa.list_(lancedb.blob("frame"), 2))])
-
-    output = _cast_to_target_schema(
-        pa.table({"frames": source}).to_reader(), target
-    ).read_all()
-
-    frames = output["frames"].chunk(0)
-    assert frames.to_pylist()[1] is None
-    assert [b["data"] for b in frames.to_pylist()[0]] == [b"a", b"b"]
-
-
-def test_cast_to_target_schema_accepts_pylance_blob_v2():
-    target_type = lancedb.BlobType()
-    source = lance.blob_array([b"hello", None])
-    assert type(source.type) is LanceBlobType
-    assert type(source.type) is type(target_type)
-    data = pa.table({"image": source})
-    target = pa.schema([pa.field("image", target_type)])
-
-    output = _cast_to_target_schema(data.to_reader(), target).read_all()
-
-    image = output["image"].chunk(0)
-    assert type(image.type) is LanceBlobType
-    assert image.type == target_type
-    assert image.storage.to_pylist() == [
-        {"data": b"hello", "uri": None, "position": None, "size": None},
-        None,
-    ]
-
-
-def test_cast_to_target_schema_rejects_different_blob_v2_class():
-    class OtherBlobType(pa.ExtensionType):
-        def __init__(self):
-            super().__init__(lancedb.BlobType().storage_type, "lance.blob.v2")
-
-        def __arrow_ext_serialize__(self) -> bytes:
-            return b""
-
-        @classmethod
-        def __arrow_ext_deserialize__(
-            cls, storage_type: pa.DataType, serialized: bytes
-        ) -> "OtherBlobType":
-            return cls()
-
-    storage = lance.blob_array([b"hello"]).storage
-    source = pa.ExtensionArray.from_storage(OtherBlobType(), storage)
-    data = pa.table({"image": source})
-    target = pa.schema([lancedb.blob("image")])
-
-    with pytest.raises(pa.ArrowTypeError, match="different extension type"):
-        _cast_to_target_schema(data.to_reader(), target).read_all()
-
-
 def test_sanitize_data_stream():
    # Make sure we don't collect the whole stream when running sanitize_data
    schema = pa.schema({"a": pa.int32()})
@@ -13,7 +13,11 @@ use crate::{
    runtime::future_into_py,
    table::Table,
 };
-use arrow::{datatypes::Schema, ffi_stream::ArrowArrayStreamReader, pyarrow::FromPyArrow};
+use arrow::{
+    datatypes::Schema,
+    ffi_stream::ArrowArrayStreamReader,
+    pyarrow::{FromPyArrow, ToPyArrow},
+};
 use lancedb::{
    connection::Connection as LanceConnection,
    connection::NamespaceClientPushdownOperation,
@@ -24,7 +28,7 @@ use pyo3::{
    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
    exceptions::{PyRuntimeError, PyValueError},
    pyclass, pyfunction, pymethods,
-    types::{PyAnyMethods, PyDict, PyDictMethods, PyList},
+    types::{PyDict, PyDictMethods, PyList, PyListMethods},
 };

 #[pyclass]
@@ -82,24 +86,6 @@ impl Connection {
    }
 }

-fn parse_default_namespace_path(path: Option<Bound<'_, PyAny>>) -> PyResult<Vec<String>> {
-    match path {
-        Some(path) => {
-            if !path.is_instance_of::<PyList>() {
-                return Err(PyValueError::new_err(
-                    "Connection.execute_query_async default_namespace_path must be a list",
-                ));
-            }
-            path.extract::<Vec<String>>().map_err(|_| {
-                PyValueError::new_err(
-                    "Connection.execute_query_async default_namespace_path components must be strings",
-                )
-            })
-        }
-        None => Ok(vec!["public".to_string()]),
-    }
-}
-
 #[pymethods]
 impl Connection {
    fn __repr__(&self) -> String {
@@ -122,40 +108,6 @@ impl Connection {
        self.get_inner().map(|inner| inner.uri().to_string())
    }

-    #[pyo3(signature = (query, *, default_namespace_path=None))]
-    pub fn execute_query_async<'a>(
-        self_: PyRef<'a, Self>,
-        query: String,
-        default_namespace_path: Option<Bound<'_, PyAny>>,
-    ) -> PyResult<Bound<'a, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        let default_namespace_path = parse_default_namespace_path(default_namespace_path)?;
-        future_into_py(self_.py(), async move {
-            let operation = inner
-                .execute_query_async(query)
-                .default_namespace_path(default_namespace_path);
-            operation
-                .execute()
-                .await
-                .map(crate::sql::Query::new)
-                .infer_error()
-        })
-    }
-
-    pub fn describe_query<'a>(
-        self_: PyRef<'a, Self>,
-        query_id: uuid::Uuid,
-    ) -> PyResult<Bound<'a, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            inner
-                .describe_query(query_id)
-                .await
-                .map(crate::sql::QueryDescription::from)
-                .infer_error()
-        })
-    }
-
    #[pyo3(signature = ())]
    pub fn get_read_consistency_interval(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.get_inner()?.clone();
@@ -640,12 +592,9 @@ impl Connection {
        })
    }

-    pub fn open_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            let job = inner.open_job(&job_id).await.infer_error()?;
-            Ok(crate::job::Job::new(job))
-        })
+    pub fn job(&self, job_id: String) -> PyResult<crate::job::Job> {
+        let inner = self.get_inner()?.clone();
+        Ok(crate::job::Job::new(inner.job(job_id).infer_error()?))
    }

    pub fn create_function_async(
@@ -680,30 +629,6 @@ impl Connection {
        })
    }

-    pub fn list_functions(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            inner
-                .list_functions()
-                .await
-                .infer_error()?
-                .into_iter()
-                .map(|function| function.to_canonical_json().infer_error())
-                .collect::<PyResult<Vec<_>>>()
-        })
-    }
-
-    pub fn drop_function(
-        self_: PyRef<'_, Self>,
-        name: String,
-        version: String,
-    ) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            inner.drop_function(name, version).await.infer_error()
-        })
-    }
-
    pub fn list_jobs(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.get_inner()?.clone();
        future_into_py(self_.py(), async move {
@@ -715,16 +640,42 @@ impl Connection {
        })
    }

+    pub fn get_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.get_inner()?.clone();
+        future_into_py(self_.py(), async move {
+            let description = inner.get_job(&job_id).await.infer_error()?;
+            Ok(description.map(crate::job::JobDescription::from))
+        })
+    }
+
    pub fn cancel_job(self_: PyRef<'_, Self>, job_id: String) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.get_inner()?.clone();
        future_into_py(self_.py(), async move {
            inner.cancel_job(&job_id).await.infer_error()
        })
    }
+
+    #[pyo3(signature = (job_id=None))]
+    pub fn job_history(
+        self_: PyRef<'_, Self>,
+        job_id: Option<String>,
+    ) -> PyResult<Bound<'_, PyAny>> {
+        let inner = self_.get_inner()?.clone();
+        future_into_py(self_.py(), async move {
+            let batches = inner.job_history(job_id.as_deref()).await.infer_error()?;
+            Python::attach(|py| {
+                let list = PyList::empty(py);
+                for batch in batches {
+                    list.append(batch.to_pyarrow(py)?)?;
+                }
+                Ok(list.unbind())
+            })
+        })
+    }
 }

 #[pyfunction]
-#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, sql_host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None, manifest_enabled=false, namespace_client_properties=None, oauth_config=None))]
+#[pyo3(signature = (uri, api_key=None, region=None, host_override=None, read_consistency_interval=None, client_config=None, storage_options=None, session=None, manifest_enabled=false, namespace_client_properties=None, oauth_config=None))]
 #[allow(clippy::too_many_arguments)]
 pub fn connect(
    py: Python<'_>,
@@ -732,7 +683,6 @@ pub fn connect(
    api_key: Option<String>,
    region: Option<String>,
    host_override: Option<String>,
-    sql_host_override: Option<String>,
    read_consistency_interval: Option<f64>,
    client_config: Option<PyClientConfig>,
    storage_options: Option<HashMap<String, String>>,
@@ -752,12 +702,6 @@ pub fn connect(
        if let Some(host_override) = host_override {
            builder = builder.host_override(&host_override);
        }
-        #[cfg(feature = "remote")]
-        if let Some(sql_host_override) = sql_host_override {
-            builder = builder.sql_host_override(&sql_host_override);
-        }
-        #[cfg(not(feature = "remote"))]
-        let _ = sql_host_override;
        if let Some(read_consistency_interval) = read_consistency_interval {
            let read_consistency_interval = Duration::from_secs_f64(read_consistency_interval);
            builder = builder.read_consistency_interval(read_consistency_interval);
@@ -114,12 +114,6 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
                        .getattr(intern!(py, "JobCancelledError"))?;
                    Err(PyErr::from_value(cls.call1((err.to_string(),))?))
                }),
-                LanceError::JobNotFound { .. } => Python::attach(|py| {
-                    let cls = py
-                        .import(intern!(py, "lancedb.exceptions"))?
-                        .getattr(intern!(py, "JobNotFoundError"))?;
-                    Err(PyErr::from_value(cls.call1((err.to_string(),))?))
-                }),
                _ => self.runtime_error(),
            },
        }
@@ -4,50 +4,11 @@
 use std::sync::Arc;

 use crate::runtime::future_into_py;
-use arrow::{
-    datatypes::Schema,
-    pyarrow::{IntoPyArrow, Table as PyArrowTable},
-};
-use lancedb::job::JobEventsRequest;
-use pyo3::{
-    Bound, PyAny, PyRef, PyResult, Python,
-    exceptions::PyValueError,
-    pyclass, pymethods,
-    types::{PyAnyMethods, PyDict, PyDictMethods},
-};
+use pyo3::{Bound, PyAny, PyRef, PyResult, pyclass, pymethods};
 use serde::Serialize;

 use crate::error::PythonErrorExt;

-const REPR_INDENT: &str = "    ";
-
-/// Parse a stored JSON payload into Python data. The bindings carry these as
-/// strings because that is what crosses the boundary cheaply; the public
-/// Python surface is the parsed form.
-fn parse_json_payload<'py>(
-    py: Python<'py>,
-    raw: Option<&str>,
-) -> PyResult<Option<Bound<'py, PyAny>>> {
-    match raw {
-        None => Ok(None),
-        Some(raw) => Ok(Some(py.import("json")?.call_method1("loads", (raw,))?)),
-    }
-}
-
-/// A payload rendered as indented JSON, aligned under the field that holds it.
-fn pretty_json_payload(py: Python<'_>, raw: Option<&str>) -> PyResult<Option<String>> {
-    let Some(parsed) = parse_json_payload(py, raw)? else {
-        return Ok(None);
-    };
-    let kwargs = PyDict::new(py);
-    kwargs.set_item("indent", 4)?;
-    let rendered: String = py
-        .import("json")?
-        .call_method("dumps", (parsed,), Some(&kwargs))?
-        .extract()?;
-    Ok(Some(rendered.replace('\n', &format!("\n{REPR_INDENT}"))))
-}
-
 #[pyclass]
 pub struct Job {
    inner: Arc<lancedb::Job<std::result::Result<Option<String>, String>>>,
@@ -106,48 +67,6 @@ impl Job {
            Ok(())
        })
    }
-
-    pub fn refresh(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
-        future_into_py(self_.py(), async move {
-            inner.refresh().await.infer_error()?;
-            Ok(())
-        })
-    }
-
-    /// The last observed lifecycle state, without contacting the backend.
-    #[getter]
-    pub fn _state(&self) -> Option<String> {
-        self.inner.state()
-    }
-
-    /// The last observed server-side record. `None` for an in-process job.
-    #[getter]
-    pub fn _description(&self) -> Option<JobDescription> {
-        self.inner.description().map(JobDescription::from)
-    }
-
-    #[pyo3(signature = (*, limit=None, filter=None))]
-    pub fn events(
-        self_: PyRef<'_, Self>,
-        limit: Option<u32>,
-        filter: Option<String>,
-    ) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
-        let request = JobEventsRequest { limit, filter };
-        future_into_py(self_.py(), async move {
-            let batches = inner.events(request).await.infer_error()?;
-            Python::attach(|py| {
-                let schema = batches
-                    .first()
-                    .map(|batch| batch.schema())
-                    .unwrap_or_else(|| Arc::new(Schema::empty()));
-                let table = PyArrowTable::try_new(batches, schema)
-                    .map_err(|err| PyValueError::new_err(err.to_string()))?;
-                table.into_pyarrow(py).map(|table| table.unbind())
-            })
-        })
-    }
 }

 /// A row from `Connection.list_jobs`: one server-side job.
@@ -202,7 +121,7 @@ impl JobFailureInfo {
    }
 }

-/// The server-side record behind a `Job` handle.
+/// A described job from `Connection.get_job`.
 #[pyclass(get_all, skip_from_py_object)]
 #[derive(Clone)]
 pub struct JobDescription {
@@ -210,49 +129,17 @@ pub struct JobDescription {
    job_type: String,
    state: String,
    creation_ms: i64,
-    /// Internal: the wire form behind the `spec` property.
-    _spec_json: Option<String>,
-    /// Internal: the wire form behind the `result` property.
-    _result_json: Option<String>,
+    spec_json: Option<String>,
    failure: Option<JobFailureInfo>,
 }

 #[pymethods]
 impl JobDescription {
-    /// The job-type-specific specification it was submitted with.
-    #[getter]
-    fn spec<'py>(&self, py: Python<'py>) -> PyResult<Option<Bound<'py, PyAny>>> {
-        parse_json_payload(py, self._spec_json.as_deref())
-    }
-
-    /// The job-type-specific terminal result. `None` until the job succeeds.
-    #[getter]
-    fn result<'py>(&self, py: Python<'py>) -> PyResult<Option<Bound<'py, PyAny>>> {
-        parse_json_payload(py, self._result_json.as_deref())
-    }
-
-    fn __repr__(&self, py: Python<'_>) -> PyResult<String> {
-        let mut fields = vec![
-            format!("job_id={:?}", self.job_id),
-            format!("job_type={:?}", self.job_type),
-            format!("state={:?}", self.state),
-            format!("creation_ms={}", self.creation_ms),
-        ];
-        // Lay the payloads out as indented JSON, the same way the `Job` repr
-        // does, so the two agree on how the same data looks.
-        for (name, payload) in [("spec", &self._spec_json), ("result", &self._result_json)] {
-            if let Some(rendered) = pretty_json_payload(py, payload.as_deref())? {
-                fields.push(format!("{name}={rendered}"));
-            }
-        }
-        if let Some(failure) = &self.failure {
-            fields.push(format!("failure={}", failure.__repr__()));
-        }
-        let body = fields
-            .iter()
-            .map(|field| format!("\n{REPR_INDENT}{field},"))
-            .collect::<String>();
-        Ok(format!("JobDescription({body}\n)"))
+    fn __repr__(&self) -> String {
+        format!(
+            "JobDescription(job_id={:?}, job_type={:?}, state={:?}, creation_ms={})",
+            self.job_id, self.job_type, self.state, self.creation_ms
+        )
    }
 }

@@ -263,11 +150,7 @@ impl From<lancedb::database::JobDescription> for JobDescription {
            job_type: description.job_type,
            state: description.state,
            creation_ms: description.creation_ms,
-            _spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
-            _result_json: description
-                .result
-                .filter(|result| !result.is_null())
-                .map(|result| result.to_string()),
+            spec_json: (!description.spec.is_null()).then(|| description.spec.to_string()),
            failure: description.failure.map(|failure| JobFailureInfo {
                phase: failure.phase,
                message: failure.message,
--- a/Show More
+++ b/Show More