chore: update lance dependency to v4.0.0-beta.9

chore: remove the duplicate snafu-derive dependency in the lockfile (#3124 )
feat: support prewarm_index and prewarm_data on remote tables (#3110 )
2026-09-12 00:02:21 +00:00 · 2026-03-11 22:18:47 +00:00 · 2026-03-10 21:43:51 -07:00 · 2026-03-10 15:39:39 -05:00 · 2026-03-09 20:04:27 -07:00 · 2026-03-09 19:58:12 +00:00
42 changed files with 2441 additions and 3663 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.27.0-beta.3"
+current_version = "0.27.0-beta.5"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -15,7 +15,7 @@ jobs:
    name: Label PR
    runs-on: ubuntu-latest
    steps:
-      - uses: srvaroa/labeler@master
+      - uses: srvaroa/labeler@v1
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
  commitlint:
@@ -24,7 +24,7 @@ jobs:
    name: Verify PR title / description conforms to semantic-release
    runs-on: ubuntu-latest
    steps:
-      - uses: actions/setup-node@v3
+      - uses: actions/setup-node@v4
        with:
          node-version: "18"
      # These rules are disabled because Github will always ensure there
@@ -47,7 +47,7 @@ jobs:
            ${{ github.event.pull_request.body }}
      - if: failure()
-        uses: actions/github-script@v6
+        uses: actions/github-script@v7
        with:
          script: |
            const message = `**ACTION NEEDED**
@@ -53,7 +53,7 @@ jobs:
          python -m pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -e .
          python -m pip install --extra-index-url https://pypi.fury.io/lance-format/ --extra-index-url https://pypi.fury.io/lancedb/ -r ../docs/requirements.txt
      - name: Set up node
-        uses: actions/setup-node@v3
+        uses: actions/setup-node@v4
        with:
          node-version: 20
          cache: 'npm'
@@ -68,7 +68,7 @@ jobs:
        run: |
          PYTHONPATH=. mkdocs build
      - name: Setup Pages
-        uses: actions/configure-pages@v2
+        uses: actions/configure-pages@v5
      - name: Upload artifact
        uses: actions/upload-pages-artifact@v3
        with:
@@ -37,7 +37,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v3
+    - uses: actions/setup-node@v4
      with:
        node-version: 20
        cache: 'npm'
@@ -77,7 +77,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v3
+    - uses: actions/setup-node@v4
      name: Setup Node.js 20 for build
      with:
        # @napi-rs/cli v3 requires Node >= 20.12 (via @inquirer/prompts@8).
@@ -94,7 +94,7 @@ jobs:
      run: |
        npm ci --include=optional
        npm run build:debug -- --profile ci
-    - uses: actions/setup-node@v3
+    - uses: actions/setup-node@v4
      name: Setup Node.js ${{ matrix.node-version }} for test
      with:
        node-version: ${{ matrix.node-version }}
@@ -143,7 +143,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v3
+    - uses: actions/setup-node@v4
      with:
        node-version: 20
        cache: 'npm'
@@ -15,20 +15,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"
 [workspace.dependencies]
-lance = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=4.0.0-beta.9", default-features = false, "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=4.0.0-beta.9", default-features = false, "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=4.0.0-beta.9", default-features = false, "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=4.0.0-beta.9", "tag" = "v4.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
 ahash = "0.8"
 # Note that this one does not include pyarrow
 arrow = { version = "57.2", optional = false }
@@ -1,27 +1,27 @@
-#Simple base dockerfile that supports basic dependencies required to run lance with FTS and Hybrid Search
+# Simple base dockerfile that supports basic dependencies required to run lance with FTS and Hybrid Search
-#Usage docker build -t lancedb:latest -f Dockerfile .
+# Usage: docker build -t lancedb:latest -f Dockerfile .
-FROM python:3.10-slim-buster
+FROM python:3.12-slim-bookworm
-# Install Rust
+# Install build dependencies in a single layer
-RUN apt-get update && apt-get install -y curl build-essential && \
+RUN apt-get update && \
-  curl https://sh.rustup.rs -sSf | sh -s -- -y
+  apt-get install -y --no-install-recommends \
-
+    curl \
-# Set the environment variable for Rust
+    build-essential \
-ENV PATH="/root/.cargo/bin:${PATH}"
+    protobuf-compiler \
-
+    git \
-# Install protobuf compiler
+    ca-certificates && \
 RUN apt-get install -y protobuf-compiler && \
  apt-get clean && \
  rm -rf /var/lib/apt/lists/*
-RUN apt-get -y update &&\
+# Install Rust (pinned installer, non-interactive)
-  apt-get -y upgrade && \
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable --profile minimal
  apt-get -y install git
 # Set the environment variable for Rust
 ENV PATH="/root/.cargo/bin:${PATH}"
 # Verify installations
 RUN python --version && \
  rustc --version && \
  protoc --version
-RUN pip install tantivy lancedb
+RUN pip install --no-cache-dir tantivy lancedb
@@ -1,9 +1,9 @@
 mkdocs==1.5.3
 mkdocs-jupyter==0.24.1
 mkdocs-material==9.5.3
-mkdocs-autorefs<=1.0
+mkdocs-autorefs>=0.5,<=1.0
 mkdocstrings[python]==0.25.2
-griffe
+griffe>=0.40,<1.0
-mkdocs-render-swagger-plugin
+mkdocs-render-swagger-plugin>=0.1.0
-pydantic
+pydantic>=2.0,<3.0
-mkdocs-redirects
+mkdocs-redirects>=1.2.0
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.27.0-beta.3</version>
+    <version>0.27.0-beta.5</version>
 </dependency>
 ```
@@ -1,4 +1,4 @@
-# LanceDB Java SDK
+# LanceDB Java Enterprise Client
 ## Configuration and Initialization
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.27.0-beta.3</version>
+      <version>0.27.0-beta.5</version>
      <relativePath>../pom.xml</relativePath>
    </parent>
@@ -56,21 +56,21 @@
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j2-impl</artifactId>
-            <version>2.24.3</version>
+            <version>2.25.3</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
-            <version>2.24.3</version>
+            <version>2.25.3</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
-            <version>2.24.3</version>
+            <version>2.25.3</version>
            <scope>test</scope>
        </dependency>
    </dependencies>
@@ -6,7 +6,7 @@
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.27.0-beta.3</version>
+    <version>0.27.0-beta.5</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>3.1.0-beta.2</lance-core.version>
+        <lance-core.version>4.0.0-beta.9</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>
@@ -111,7 +111,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-source-plugin</artifactId>
-                <version>2.2.1</version>
+                <version>3.3.1</version>
                <executions>
                    <execution>
                        <id>attach-sources</id>
@@ -124,7 +124,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-javadoc-plugin</artifactId>
-                <version>2.9.1</version>
+                <version>3.11.2</version>
                <executions>
                    <execution>
                        <id>attach-javadocs</id>
@@ -178,15 +178,15 @@
            <plugins>
                <plugin>
                    <artifactId>maven-clean-plugin</artifactId>
-                    <version>3.1.0</version>
+                    <version>3.4.1</version>
                </plugin>
                <plugin>
                    <artifactId>maven-resources-plugin</artifactId>
-                    <version>3.0.2</version>
+                    <version>3.3.1</version>
                </plugin>
                <plugin>
                    <artifactId>maven-compiler-plugin</artifactId>
-                    <version>3.8.1</version>
+                    <version>3.14.0</version>
                    <configuration>
                        <compilerArgs>
                            <arg>-h</arg>
@@ -205,11 +205,11 @@
                </plugin>
                <plugin>
                    <artifactId>maven-jar-plugin</artifactId>
-                    <version>3.0.2</version>
+                    <version>3.4.2</version>
                </plugin>
                <plugin>
                    <artifactId>maven-install-plugin</artifactId>
-                    <version>2.5.2</version>
+                    <version>3.1.3</version>
                </plugin>
                <plugin>
                    <groupId>com.diffplug.spotless</groupId>
@@ -327,7 +327,7 @@
                    <plugin>
                        <groupId>org.apache.maven.plugins</groupId>
                        <artifactId>maven-gpg-plugin</artifactId>
-                        <version>1.5</version>
+                        <version>3.2.7</version>
                        <executions>
                            <execution>
                                <id>sign-artifacts</id>
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.27.0-beta.3"
+version = "0.27.0-beta.5"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
@@ -25,12 +25,12 @@ napi = { version = "3.8.3", default-features = false, features = [
 ] }
 napi-derive = "3.5.2"
 # Prevent dynamic linking of lzma, which comes from datafusion
-lzma-sys = { version = "*", features = ["static"] }
+lzma-sys = { version = "0.1", features = ["static"] }
 log.workspace = true
-# Workaround for build failure until we can fix it.
+# Pin to resolve build failures; update periodically for security patches.
-aws-lc-sys = "=0.28.0"
+aws-lc-sys = "=0.38.0"
-aws-lc-rs = "=1.13.0"
+aws-lc-rs = "=1.16.1"
 [build-dependencies]
 napi-build = "2.3.1"
@@ -63,6 +63,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      tableFromIPC,
      DataType,
      Dictionary,
      Uint8: ArrowUint8,
      // biome-ignore lint/suspicious/noExplicitAny: <explanation>
    } = <any>arrow;
    type Schema = ApacheArrow["Schema"];
@@ -362,6 +363,38 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        ).toEqual(new Float64().toString());
      });
      it("will infer FixedSizeList<Float32> from Float32Array values", async function () {
        const table = makeArrowTable([
          { id: "a", vector: new Float32Array([0.1, 0.2, 0.3]) },
          { id: "b", vector: new Float32Array([0.4, 0.5, 0.6]) },
        ]);
        expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe(
          true,
        );
        const vectorType = table.getChild("vector")?.type;
        expect(vectorType.listSize).toBe(3);
        expect(vectorType.children[0].type.toString()).toEqual(
          new Float32().toString(),
        );
      });
      it("will infer FixedSizeList<Uint8> from Uint8Array values", async function () {
        const table = makeArrowTable([
          { id: "a", vector: new Uint8Array([1, 2, 3]) },
          { id: "b", vector: new Uint8Array([4, 5, 6]) },
        ]);
        expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe(
          true,
        );
        const vectorType = table.getChild("vector")?.type;
        expect(vectorType.listSize).toBe(3);
        expect(vectorType.children[0].type.toString()).toEqual(
          new ArrowUint8().toString(),
        );
      });
      it("will use dictionary encoded strings if asked", async function () {
        const table = makeArrowTable([{ str: "hello" }]);
        expect(DataType.isUtf8(table.getChild("str")?.type)).toBe(true);
@@ -2204,3 +2204,36 @@ describe("when creating an empty table", () => {
    expect((actualSchema.fields[1].type as Float64).precision).toBe(2);
  });
 });
 // Ensure we can create float32 arrays without using Arrow
 // by utilizing native JS TypedArray support
 //
 // https://github.com/lancedb/lancedb/issues/3115
 describe("when creating a table with Float32Array vectors", () => {
  let tmpDir: tmp.DirResult;
  beforeEach(() => {
    tmpDir = tmp.dirSync({ unsafeCleanup: true });
  });
  afterEach(() => {
    tmpDir.removeCallback();
  });
  it("should persist Float32Array as FixedSizeList<Float32> in the LanceDB schema", async () => {
    const db = await connect(tmpDir.name);
    const table = await db.createTable("test", [
      { id: "a", vector: new Float32Array([0.1, 0.2, 0.3]) },
      { id: "b", vector: new Float32Array([0.4, 0.5, 0.6]) },
    ]);
    const schema = await table.schema();
    const vectorField = schema.fields.find((f) => f.name === "vector");
    expect(vectorField).toBeDefined();
    expect(vectorField!.type).toBeInstanceOf(FixedSizeList);
    const fsl = vectorField!.type as FixedSizeList;
    expect(fsl.listSize).toBe(3);
    expect(fsl.children[0].type.typeId).toBe(Type.Float);
    // precision: HALF=0, SINGLE=1, DOUBLE=2
    expect((fsl.children[0].type as Float32).precision).toBe(1);
  });
 });
@@ -30,12 +30,15 @@
        "x64",
        "arm64"
      ],
      "dev": true,
      "license": "Apache-2.0",
      "optional": true,
      "os": [
        "darwin",
        "linux",
        "win32"
      ],
      "peer": true,
      "dependencies": {
        "reflect-metadata": "^0.2.2"
      },
@@ -91,14 +94,15 @@
      }
    },
    "node_modules/@babel/code-frame": {
-      "version": "7.26.2",
+      "version": "7.29.0",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz",
-      "integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==",
+      "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==",
      "dev": true,
      "license": "MIT",
      "dependencies": {
-        "@babel/helper-validator-identifier": "^7.25.9",
+        "@babel/helper-validator-identifier": "^7.28.5",
        "js-tokens": "^4.0.0",
-        "picocolors": "^1.0.0"
+        "picocolors": "^1.1.1"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -233,19 +237,21 @@
      }
    },
    "node_modules/@babel/helper-string-parser": {
-      "version": "7.25.9",
+      "version": "7.27.1",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
-      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
+      "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
      "dev": true,
      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
    },
    "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.25.9",
+      "version": "7.28.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz",
-      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
+      "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==",
      "dev": true,
      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
@@ -260,25 +266,27 @@
      }
    },
    "node_modules/@babel/helpers": {
-      "version": "7.26.0",
+      "version": "7.28.6",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.26.0.tgz",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.28.6.tgz",
-      "integrity": "sha512-tbhNuIxNcVb21pInl3ZSjksLCvgdZy9KwJ8brv993QtIVKJBBkYXz4q4ZbAv31GdnC+R90np23L5FbEBlthAEw==",
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      "version": "2.0.2",
      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
      "dev": true,
      "dependencies": {
        "isexe": "^2.0.0"
      },
@@ -4809,23 +4733,6 @@
        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
      }
    },
    "node_modules/wrap-ansi-cjs": {
      "name": "wrap-ansi",
      "version": "7.0.0",
      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-7.0.0.tgz",
      "integrity": "sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==",
      "dependencies": {
        "ansi-styles": "^4.0.0",
        "string-width": "^4.1.0",
        "strip-ansi": "^6.0.0"
      },
      "engines": {
        "node": ">=10"
      },
      "funding": {
        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
      }
    },
    "node_modules/wrappy": {
      "version": "1.0.2",
      "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz",
@@ -20,6 +20,8 @@ import {
  Float32,
  Float64,
  Int,
  Int8,
  Int16,
  Int32,
  Int64,
  LargeBinary,
@@ -35,6 +37,8 @@ import {
  Timestamp,
  Type,
  Uint8,
  Uint16,
  Uint32,
  Utf8,
  Vector,
  makeVector as arrowMakeVector,
@@ -529,7 +533,8 @@ function isObject(value: unknown): value is Record<string, unknown> {
    !(value instanceof Date) &&
    !(value instanceof Set) &&
    !(value instanceof Map) &&
-    !(value instanceof Buffer)
+    !(value instanceof Buffer) &&
    !ArrayBuffer.isView(value)
  );
 }
@@ -588,6 +593,13 @@ function inferType(
    return new Bool();
  } else if (value instanceof Buffer) {
    return new Binary();
  } else if (ArrayBuffer.isView(value) && !(value instanceof DataView)) {
    const info = typedArrayToArrowType(value);
    if (info !== undefined) {
      const child = new Field("item", info.elementType, true);
      return new FixedSizeList(info.length, child);
    }
    return undefined;
  } else if (Array.isArray(value)) {
    if (value.length === 0) {
      return undefined; // Without any values we can't infer the type
@@ -746,6 +758,32 @@ function makeListVector(lists: unknown[][]): Vector<unknown> {
  return listBuilder.finish().toVector();
 }
 /**
 * Map a JS TypedArray instance to the corresponding Arrow element DataType
 * and its length. Returns undefined if the value is not a recognized TypedArray.
 */
 function typedArrayToArrowType(
  value: ArrayBufferView,
 ): { elementType: DataType; length: number } | undefined {
  if (value instanceof Float32Array)
    return { elementType: new Float32(), length: value.length };
  if (value instanceof Float64Array)
    return { elementType: new Float64(), length: value.length };
  if (value instanceof Uint8Array)
    return { elementType: new Uint8(), length: value.length };
  if (value instanceof Uint16Array)
    return { elementType: new Uint16(), length: value.length };
  if (value instanceof Uint32Array)
    return { elementType: new Uint32(), length: value.length };
  if (value instanceof Int8Array)
    return { elementType: new Int8(), length: value.length };
  if (value instanceof Int16Array)
    return { elementType: new Int16(), length: value.length };
  if (value instanceof Int32Array)
    return { elementType: new Int32(), length: value.length };
  return undefined;
 }
 /** Helper function to convert an Array of JS values to an Arrow Vector */
 function makeVector(
  values: unknown[],
@@ -814,6 +852,16 @@ function makeVector(
      "makeVector cannot infer the type if all values are null or undefined",
    );
  }
  if (ArrayBuffer.isView(sampleValue) && !(sampleValue instanceof DataView)) {
    const info = typedArrayToArrowType(sampleValue);
    if (info !== undefined) {
      const fslType = new FixedSizeList(
        info.length,
        new Field("item", info.elementType, true),
      );
      return vectorFromArray(values, fslType);
    }
  }
  if (Array.isArray(sampleValue)) {
    // Default Arrow inference doesn't handle list types
    return makeListVector(values as unknown[][]);
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.27.0-beta.3",
+  "version": "0.27.0-beta.5",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.27.0-beta.3",
+	"version": "0.27.0-beta.5",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.27.0-beta.3",
+  "version": "0.27.0-beta.5",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.30.0-beta.4"
+current_version = "0.30.0-beta.5"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.30.0-beta.4"
+version = "0.30.0-beta.5"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
@@ -1,4 +1,4 @@
-# LanceDB
+# LanceDB Python SDK
 A Python library for [LanceDB](https://github.com/lancedb/lancedb).
@@ -3,10 +3,10 @@ name = "lancedb"
 # version in Cargo.toml
 dynamic = ["version"]
 dependencies = [
-    "deprecation",
+    "deprecation>=2.1.0",
-    "numpy",
+    "numpy>=1.24.0",
    "overrides>=0.7; python_version<'3.12'",
-    "packaging",
+    "packaging>=23.0",
    "pyarrow>=16",
    "pydantic>=1.10",
    "tqdm>=4.27.0",
@@ -48,48 +48,48 @@ pylance = [
    "pylance>=4.0.0b7",
 ]
 tests = [
-    "aiohttp",
+    "aiohttp>=3.9.0",
-    "boto3",
+    "boto3>=1.28.57",
    "pandas>=1.4",
-    "pytest",
+    "pytest>=7.0",
-    "pytest-mock",
+    "pytest-mock>=3.10",
-    "pytest-asyncio",
+    "pytest-asyncio>=0.21",
-    "duckdb",
+    "duckdb>=0.9.0",
-    "pytz",
+    "pytz>=2023.3",
    "polars>=0.19, <=1.3.0",
-    "tantivy",
+    "tantivy>=0.20.0",
-    "pyarrow-stubs",
+    "pyarrow-stubs>=16.0",
    "pylance>=4.0.0b7",
-    "requests",
+    "requests>=2.31.0",
    "datafusion>=52,<53",
 ]
 dev = [
-    "ruff",
+    "ruff>=0.3.0",
-    "pre-commit",
+    "pre-commit>=3.5.0",
-    "pyright",
+    "pyright>=1.1.350",
    'typing-extensions>=4.0.0; python_version < "3.11"',
 ]
 docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings-python"]
-clip = ["torch", "pillow", "open-clip-torch"]
+clip = ["torch", "pillow>=12.1.1", "open-clip-torch"]
-siglip = ["torch", "pillow", "transformers>=4.41.0","sentencepiece"]
+siglip = ["torch", "pillow>=12.1.1", "transformers>=4.41.0","sentencepiece"]
 embeddings = [
    "requests>=2.31.0",
    "openai>=1.6.1",
-    "sentence-transformers",
+    "sentence-transformers>=2.2.0",
-    "torch",
+    "torch>=2.0.0",
-    "pillow",
+    "pillow>=12.1.1",
-    "open-clip-torch",
+    "open-clip-torch>=2.20.0",
-    "cohere",
+    "cohere>=4.0",
    "colpali-engine>=0.3.10",
-    "huggingface_hub",
+    "huggingface_hub>=0.19.0",
-    "InstructorEmbedding",
+    "InstructorEmbedding>=1.0.1",
-    "google.generativeai",
+    "google.generativeai>=0.3.0",
    "boto3>=1.28.57",
-    "awscli>=1.29.57",
+    "awscli>=1.44.38",
    "botocore>=1.31.57",
    'ibm-watsonx-ai>=1.1.2; python_version >= "3.10"',
    "ollama>=0.3.0",
-    "sentencepiece"
+    "sentencepiece>=0.1.99"
 ]
 azure = ["adlfs>=2024.2.0"]
@@ -166,6 +166,8 @@ class Table:
    async def checkout(self, version: Union[int, str]): ...
    async def checkout_latest(self): ...
    async def restore(self, version: Optional[Union[int, str]] = None): ...
    async def prewarm_index(self, index_name: str) -> None: ...
    async def prewarm_data(self, columns: Optional[List[str]] = None) -> None: ...
    async def list_indices(self) -> list[IndexConfig]: ...
    async def delete(self, filter: str) -> DeleteResult: ...
    async def add_columns(self, columns: list[tuple[str, str]]) -> AddColumnsResult: ...
@@ -640,6 +640,45 @@ class RemoteTable(Table):
    def drop_index(self, index_name: str):
        return LOOP.run(self._table.drop_index(index_name))
    def prewarm_index(self, name: str) -> None:
        """Prewarm an index in the table.
        This is a hint to the database that the index will be accessed in the
        future and should be loaded into memory if possible.  This can reduce
        cold-start latency for subsequent queries.
        This call initiates prewarming and returns once the request is accepted.
        It is idempotent and safe to call from multiple clients concurrently.
        Parameters
        ----------
        name: str
            The name of the index to prewarm
        """
        return LOOP.run(self._table.prewarm_index(name))
    def prewarm_data(self, columns: Optional[List[str]] = None) -> None:
        """Prewarm data for the table.
        This is a hint to the database that the given columns will be accessed
        in the future and the database should prefetch the data if possible.
        Currently only supported on remote tables.
        This call initiates prewarming and returns once the request is accepted.
        It is idempotent and safe to call from multiple clients concurrently.
        This operation has a large upfront cost but can speed up future queries
        that need to fetch the given columns.  Large columns such as embeddings
        or binary data may not be practical to prewarm.  This feature is intended
        for workloads that issue many queries against the same columns.
        Parameters
        ----------
        columns: list of str, optional
            The columns to prewarm. If None, all columns are prewarmed.
        """
        return LOOP.run(self._table.prewarm_data(columns))
    def wait_for_index(
        self, index_names: Iterable[str], timeout: timedelta = timedelta(seconds=300)
    ):
@@ -2219,12 +2219,18 @@ class LanceTable(Table):
    def prewarm_index(self, name: str) -> None:
        """
-        Prewarms an index in the table
+        Prewarm an index in the table.
-        This loads the entire index into memory
+        This is a hint to the database that the index will be accessed in the
        future and should be loaded into memory if possible.  This can reduce
        cold-start latency for subsequent queries.
-        If the index does not fit into the available cache this call
+        This call initiates prewarming and returns once the request is accepted.
-        may be wasteful
+        It is idempotent and safe to call from multiple clients concurrently.
        It is generally wasteful to call this if the index does not fit into the
        available cache.  Not all index types support prewarming; unsupported
        indices will silently ignore the request.
        Parameters
        ----------
@@ -2233,6 +2239,29 @@ class LanceTable(Table):
        """
        return LOOP.run(self._table.prewarm_index(name))
    def prewarm_data(self, columns: Optional[List[str]] = None) -> None:
        """
        Prewarm data for the table.
        This is a hint to the database that the given columns will be accessed
        in the future and the database should prefetch the data if possible.
        Currently only supported on remote tables.
        This call initiates prewarming and returns once the request is accepted.
        It is idempotent and safe to call from multiple clients concurrently.
        This operation has a large upfront cost but can speed up future queries
        that need to fetch the given columns.  Large columns such as embeddings
        or binary data may not be practical to prewarm.  This feature is intended
        for workloads that issue many queries against the same columns.
        Parameters
        ----------
        columns: list of str, optional
            The columns to prewarm. If None, all columns are prewarmed.
        """
        return LOOP.run(self._table.prewarm_data(columns))
    def wait_for_index(
        self, index_names: Iterable[str], timeout: timedelta = timedelta(seconds=300)
    ) -> None:
@@ -3634,19 +3663,47 @@ class AsyncTable:
        """
        Prewarm an index in the table.
        This is a hint to the database that the index will be accessed in the
        future and should be loaded into memory if possible.  This can reduce
        cold-start latency for subsequent queries.
        This call initiates prewarming and returns once the request is accepted.
        It is idempotent and safe to call from multiple clients concurrently.
        It is generally wasteful to call this if the index does not fit into the
        available cache.  Not all index types support prewarming; unsupported
        indices will silently ignore the request.
        Parameters
        ----------
        name: str
            The name of the index to prewarm
        Notes
        -----
        This will load the index into memory.  This may reduce the cold-start time for
        future queries.  If the index does not fit in the cache then this call may be
        wasteful.
        """
        await self._inner.prewarm_index(name)
    async def prewarm_data(self, columns: Optional[List[str]] = None) -> None:
        """
        Prewarm data for the table.
        This is a hint to the database that the given columns will be accessed
        in the future and the database should prefetch the data if possible.
        Currently only supported on remote tables.
        This call initiates prewarming and returns once the request is accepted.
        It is idempotent and safe to call from multiple clients concurrently.
        This operation has a large upfront cost but can speed up future queries
        that need to fetch the given columns.  Large columns such as embeddings
        or binary data may not be practical to prewarm.  This feature is intended
        for workloads that issue many queries against the same columns.
        Parameters
        ----------
        columns: list of str, optional
            The columns to prewarm. If None, all columns are prewarmed.
        """
        await self._inner.prewarm_data(columns)
    async def wait_for_index(
        self, index_names: Iterable[str], timeout: timedelta = timedelta(seconds=300)
    ) -> None:
@@ -96,10 +96,10 @@ where
    Resp: serde::de::DeserializeOwned + Send + 'static,
 {
    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to serialize request for {}: {}", method_name, e),
+            "Failed to serialize request for {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })?;
    let response_json = tokio::task::spawn_blocking(move || {
@@ -128,24 +128,14 @@ where
        })
    })
    .await
-    .map_err(|e| {
+    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-        lance_core::Error::io(
+    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))?;
            format!("Task join error for {}: {}", method_name, e),
            Default::default(),
        )
    })?
    .map_err(|e: PyErr| {
        lance_core::Error::io(
            format!("Python error in {}: {}", method_name, e),
            Default::default(),
        )
    })?;
    serde_json::from_str(&response_json).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to deserialize response from {}: {}", method_name, e),
+            "Failed to deserialize response from {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })
 }
@@ -159,10 +149,10 @@ where
    Req: serde::Serialize + Send + 'static,
 {
    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to serialize request for {}: {}", method_name, e),
+            "Failed to serialize request for {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })?;
    tokio::task::spawn_blocking(move || {
@@ -180,18 +170,8 @@ where
        })
    })
    .await
-    .map_err(|e| {
+    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-        lance_core::Error::io(
+    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
            format!("Task join error for {}: {}", method_name, e),
            Default::default(),
        )
    })?
    .map_err(|e: PyErr| {
        lance_core::Error::io(
            format!("Python error in {}: {}", method_name, e),
            Default::default(),
        )
    })
 }
 /// Helper for methods that return a primitive type
@@ -205,10 +185,10 @@ where
    Resp: for<'py> pyo3::FromPyObject<'py> + Send + 'static,
 {
    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to serialize request for {}: {}", method_name, e),
+            "Failed to serialize request for {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })?;
    tokio::task::spawn_blocking(move || {
@@ -227,18 +207,8 @@ where
        })
    })
    .await
-    .map_err(|e| {
+    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-        lance_core::Error::io(
+    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
            format!("Task join error for {}: {}", method_name, e),
            Default::default(),
        )
    })?
    .map_err(|e: PyErr| {
        lance_core::Error::io(
            format!("Python error in {}: {}", method_name, e),
            Default::default(),
        )
    })
 }
 /// Helper for methods that return Bytes
@@ -251,10 +221,10 @@ where
    Req: serde::Serialize + Send + 'static,
 {
    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to serialize request for {}: {}", method_name, e),
+            "Failed to serialize request for {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })?;
    tokio::task::spawn_blocking(move || {
@@ -273,18 +243,8 @@ where
        })
    })
    .await
-    .map_err(|e| {
+    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-        lance_core::Error::io(
+    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
            format!("Task join error for {}: {}", method_name, e),
            Default::default(),
        )
    })?
    .map_err(|e: PyErr| {
        lance_core::Error::io(
            format!("Python error in {}: {}", method_name, e),
            Default::default(),
        )
    })
 }
 /// Helper for methods that take request + data and return a response
@@ -299,10 +259,10 @@ where
    Resp: serde::de::DeserializeOwned + Send + 'static,
 {
    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to serialize request for {}: {}", method_name, e),
+            "Failed to serialize request for {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })?;
    let response_json = tokio::task::spawn_blocking(move || {
@@ -324,24 +284,14 @@ where
        })
    })
    .await
-    .map_err(|e| {
+    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-        lance_core::Error::io(
+    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))?;
            format!("Task join error for {}: {}", method_name, e),
            Default::default(),
        )
    })?
    .map_err(|e: PyErr| {
        lance_core::Error::io(
            format!("Python error in {}: {}", method_name, e),
            Default::default(),
        )
    })?;
    serde_json::from_str(&response_json).map_err(|e| {
-        lance_core::Error::io(
+        lance_core::Error::io(format!(
-            format!("Failed to deserialize response from {}: {}", method_name, e),
+            "Failed to deserialize response from {}: {}",
-            Default::default(),
+            method_name, e
-        )
+        ))
    })
 }
@@ -66,13 +66,10 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
                    .inner
                    .bind(py)
                    .call_method0("fetch_storage_options")
-                    .map_err(|e| lance_core::Error::IO {
+                    .map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
-                        source: Box::new(std::io::Error::other(format!(
+                        "Failed to call fetch_storage_options: {}",
-                            "Failed to call fetch_storage_options: {}",
+                        e
-                            e
+                    )))))?;
                        ))),
                        location: snafu::location!(),
                    })?;
                // If result is None, return None
                if result.is_none() {
@@ -81,26 +78,19 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
                // Extract the result dict - should be a flat Map<String, String>
                let result_dict = result.downcast::<PyDict>().map_err(|_| {
-                    lance_core::Error::InvalidInput {
+                    lance_core::Error::invalid_input(
-                        source: "fetch_storage_options() must return None or a dict of string key-value pairs".into(),
+                        "fetch_storage_options() must return a dict of string key-value pairs or None",
-                        location: snafu::location!(),
+                    )
                    }
                })?;
                // Convert all entries to HashMap<String, String>
                let mut storage_options = HashMap::new();
                for (key, value) in result_dict.iter() {
                    let key_str: String = key.extract().map_err(|e| {
-                        lance_core::Error::InvalidInput {
+                        lance_core::Error::invalid_input(format!("Storage option key must be a string: {}", e))
                            source: format!("Storage option key must be a string: {}", e).into(),
                            location: snafu::location!(),
                        }
                    })?;
                    let value_str: String = value.extract().map_err(|e| {
-                        lance_core::Error::InvalidInput {
+                        lance_core::Error::invalid_input(format!("Storage option value must be a string: {}", e))
                            source: format!("Storage option value must be a string: {}", e).into(),
                            location: snafu::location!(),
                        }
                    })?;
                    storage_options.insert(key_str, value_str);
                }
@@ -109,13 +99,10 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
            })
        })
        .await
-        .map_err(|e| lance_core::Error::IO {
+        .map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
-            source: Box::new(std::io::Error::other(format!(
+            "Task join error: {}",
-                "Task join error: {}",
+            e
-                e
+        )))))?
            ))),
            location: snafu::location!(),
        })?
    }
    fn provider_id(&self) -> String {
@@ -426,6 +426,17 @@ impl Table {
        })
    }
    pub fn prewarm_data(
        self_: PyRef<'_, Self>,
        columns: Option<Vec<String>>,
    ) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
            inner.prewarm_data(columns).await.infer_error()?;
            Ok(())
        })
    }
    pub fn list_indices(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.27.0-beta.3"
+version = "0.27.0-beta.5"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
@@ -1,4 +1,4 @@
-# LanceDB Rust
+# LanceDB Rust SDK
 <a href="https://crates.io/crates/vectordb">![img](https://img.shields.io/crates/v/vectordb)</a>
 <a href="https://docs.rs/vectordb/latest/vectordb/">![Docs.rs](https://img.shields.io/docsrs/vectordb)</a>
@@ -213,25 +213,18 @@ impl Database for LanceNamespaceDatabase {
            ..Default::default()
        };
-        let response = self
+        let (location, initial_storage_options, managed_versioning) = {
-            .namespace
+            let response = self.namespace.declare_table(declare_request).await?;
-            .declare_table(declare_request)
+            let loc = response.location.ok_or_else(|| Error::Runtime {
-            .await
+                message: "Table location is missing from declare_table response".to_string(),
            .map_err(|e| Error::Runtime {
                message: format!("Failed to declare table: {}", e),
            })?;
-
+            // Use storage options from response, fall back to self.storage_options
-        let location = response.location.ok_or_else(|| Error::Runtime {
+            let opts = response
-            message: "Table location is missing from declare_table response".to_string(),
+                .storage_options
-        })?;
+                .or_else(|| Some(self.storage_options.clone()))
-
+                .filter(|o| !o.is_empty());
-        // Use storage options from response, fall back to self.storage_options
+            (loc, opts, response.managed_versioning)
-        let initial_storage_options = response
+        };
            .storage_options
            .or_else(|| Some(self.storage_options.clone()))
            .filter(|o| !o.is_empty());
        let managed_versioning = response.managed_versioning;
        // Build write params with storage options and commit handler
        let mut params = request.write_options.lance_write_params.unwrap_or_default();
@@ -426,14 +426,11 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
                })?,
            );
        }
-        if db_prefix.is_some() {
+        if let Some(prefix) = db_prefix {
            headers.insert(
                HeaderName::from_static("x-lancedb-database-prefix"),
-                HeaderValue::from_str(db_prefix.unwrap()).map_err(|_| Error::InvalidInput {
+                HeaderValue::from_str(prefix).map_err(|_| Error::InvalidInput {
-                    message: format!(
+                    message: format!("non-ascii database prefix '{}' provided", prefix),
                        "non-ascii database prefix '{}' provided",
                        db_prefix.unwrap()
                    ),
                })?,
            );
        }
@@ -1645,10 +1645,33 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        Ok(())
    }
-    async fn prewarm_index(&self, _index_name: &str) -> Result<()> {
+    async fn prewarm_index(&self, index_name: &str) -> Result<()> {
-        Err(Error::NotSupported {
+        let request = self.client.post(&format!(
-            message: "prewarm_index is not yet supported on LanceDB cloud.".into(),
+            "/v1/table/{}/index/{}/prewarm/",
-        })
+            self.identifier, index_name
        ));
        let (request_id, response) = self.send(request, true).await?;
        if response.status() == StatusCode::NOT_FOUND {
            return Err(Error::IndexNotFound {
                name: index_name.to_string(),
            });
        }
        self.check_table_response(&request_id, response).await?;
        Ok(())
    }
    async fn prewarm_data(&self, columns: Option<Vec<String>>) -> Result<()> {
        let mut request = self.client.post(&format!(
            "/v1/table/{}/page_cache/prewarm/",
            self.identifier
        ));
        let body = serde_json::json!({
            "columns": columns.unwrap_or_default(),
        });
        request = request.json(&body);
        let (request_id, response) = self.send(request, true).await?;
        self.check_table_response(&request_id, response).await?;
        Ok(())
    }
    async fn table_definition(&self) -> Result<TableDefinition> {
@@ -3529,6 +3552,64 @@ mod tests {
        assert_eq!(result.version, if old_server { 0 } else { 43 });
    }
    #[tokio::test]
    async fn test_prewarm_index() {
        let table = Table::new_with_handler("my_table", |request| {
            assert_eq!(request.method(), "POST");
            assert_eq!(
                request.url().path(),
                "/v1/table/my_table/index/my_index/prewarm/"
            );
            http::Response::builder().status(200).body("{}").unwrap()
        });
        table.prewarm_index("my_index").await.unwrap();
    }
    #[tokio::test]
    async fn test_prewarm_index_not_found() {
        let table = Table::new_with_handler("my_table", |request| {
            assert_eq!(
                request.url().path(),
                "/v1/table/my_table/index/my_index/prewarm/"
            );
            http::Response::builder().status(404).body("{}").unwrap()
        });
        let e = table.prewarm_index("my_index").await.unwrap_err();
        assert!(matches!(e, Error::IndexNotFound { .. }));
    }
    #[tokio::test]
    async fn test_prewarm_data() {
        let table = Table::new_with_handler("my_table", |request| {
            assert_eq!(request.method(), "POST");
            assert_eq!(
                request.url().path(),
                "/v1/table/my_table/page_cache/prewarm/"
            );
            http::Response::builder().status(200).body("{}").unwrap()
        });
        table.prewarm_data(None).await.unwrap();
    }
    #[tokio::test]
    async fn test_prewarm_data_with_columns() {
        let table = Table::new_with_handler("my_table", |request| {
            assert_eq!(request.method(), "POST");
            assert_eq!(
                request.url().path(),
                "/v1/table/my_table/page_cache/prewarm/"
            );
            let body = request.body().unwrap().as_bytes().unwrap();
            let body: serde_json::Value = serde_json::from_slice(body).unwrap();
            assert_eq!(body["columns"], serde_json::json!(["col_a", "col_b"]));
            http::Response::builder().status(200).body("{}").unwrap()
        });
        table
            .prewarm_data(Some(vec!["col_a".into(), "col_b".into()]))
            .await
            .unwrap();
    }
    #[tokio::test]
    async fn test_drop_index() {
        let table = Table::new_with_handler("my_table", |request| {
@@ -277,8 +277,13 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
    async fn list_indices(&self) -> Result<Vec<IndexConfig>>;
    /// Drop an index from the table.
    async fn drop_index(&self, name: &str) -> Result<()>;
-    /// Prewarm an index in the table
+    /// Prewarm an index in the table.
    async fn prewarm_index(&self, name: &str) -> Result<()>;
    /// Prewarm data for the table.
    ///
    /// Currently only supported on remote tables.
    /// If `columns` is `None`, all columns are prewarmed.
    async fn prewarm_data(&self, columns: Option<Vec<String>>) -> Result<()>;
    /// Get statistics about the index.
    async fn index_stats(&self, index_name: &str) -> Result<Option<IndexStatistics>>;
    /// Merge insert new records into the table.
@@ -1123,22 +1128,45 @@ impl Table {
        self.inner.drop_index(name).await
    }
-    /// Prewarm an index in the table
+    /// Prewarm an index in the table.
    ///
-    /// This is a hint to fully load the index into memory.  It can be used to
+    /// This is a hint to the database that the index will be accessed in the
-    /// avoid cold starts
+    /// future and should be loaded into memory if possible.  This can reduce
    /// cold-start latency for subsequent queries.
    ///
    /// This call initiates prewarming and returns once the request is accepted.
    /// It is idempotent and safe to call from multiple clients concurrently.
    ///
    /// It is generally wasteful to call this if the index does not fit into the
-    /// available cache.
+    /// available cache.  Not all index types support prewarming; unsupported
-    ///
+    /// indices will silently ignore the request.
    /// Note: This function is not yet supported on all indices, in which case it
    /// may do nothing.
    ///
    /// Use [`Self::list_indices()`] to find the names of the indices.
    pub async fn prewarm_index(&self, name: &str) -> Result<()> {
        self.inner.prewarm_index(name).await
    }
    /// Prewarm data for the table.
    ///
    /// This is a hint to the database that the given columns will be accessed in
    /// the future and the database should prefetch the data if possible.  This
    /// can reduce cold-start latency for subsequent queries.  Currently only
    /// supported on remote tables.
    ///
    /// This call initiates prewarming and returns once the request is accepted.
    /// It is idempotent and safe to call from multiple clients concurrently —
    /// calling it on already-prewarmed columns is a no-op on the server.
    ///
    /// This operation has a large upfront cost but can speed up future queries
    /// that need to fetch the given columns.  Large columns such as embeddings
    /// or binary data may not be practical to prewarm.  This feature is intended
    /// for workloads that issue many queries against the same columns.
    ///
    /// If `columns` is `None`, all columns are prewarmed.
    pub async fn prewarm_data(&self, columns: Option<Vec<String>>) -> Result<()> {
        self.inner.prewarm_data(columns).await
    }
    /// Poll until the columns are fully indexed. Will return Error::Timeout if the columns
    /// are not fully indexed within the timeout.
    pub async fn wait_for_index(
@@ -2290,6 +2318,12 @@ impl BaseTable for NativeTable {
        Ok(dataset.prewarm_index(index_name).await?)
    }
    async fn prewarm_data(&self, _columns: Option<Vec<String>>) -> Result<()> {
        Err(Error::NotSupported {
            message: "prewarm_data is currently only supported on remote tables.".into(),
        })
    }
    async fn update(&self, update: UpdateBuilder) -> Result<UpdateResult> {
        // Delegate to the submodule implementation
        update::execute_update(self, update).await
Author	SHA1	Message	Date
lancedb automation	4ce017eda8	chore: update lance dependency to v4.0.0-beta.9	2026-03-11 22:18:47 +00:00
Xin Sun	fc1867da83	chore: remove the duplicate snafu-derive dependency in the lockfile (#3124 )	2026-03-10 21:43:51 -07:00
Esteban Gutierrez Will Jones Claude Opus 4.6	f951da2b00	feat: support prewarm_index and prewarm_data on remote tables (#3110 ) ## Summary - Implement `RemoteTable.prewarm_data(columns)` calling `POST /v1/table/{id}/page_cache/prewarm/` - Implement `RemoteTable.prewarm_index(name)` calling `POST /v1/table/{id}/index/{name}/prewarm/` (previously returned `NotSupported`) - Add `BaseTable::prewarm_data(columns)` trait method and `Table` public API in Rust core - Add PyO3 bindings and Python API (`AsyncTable`, `LanceTable`, `RemoteTable`) for `prewarm_data` - Add type stubs for `prewarm_index` and `prewarm_data` in `_lancedb.pyi` - Upgrade Lance to 3.0.0-rc.3 with breaking change fixes Co-authored-by: Will Jones <willjones127@gmail.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-10 15:39:39 -05:00
Esteban GutierrezandClaude Opus 4.6	6530d82690	chore: dependency updates and security fixes (#3116 ) ## Summary - Update dependencies across Rust, Python, Node.js, Java, Docker, and docs - Pin unpinned dependency lower bounds to prevent silent downgrades - Bump CI actions to current major versions 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-09 20:04:27 -07:00
Lance Release	b3fc9c444f	Bump version: 0.27.0-beta.4 → 0.27.0-beta.5	2026-03-09 19:58:12 +00:00
Lance Release	6de8f42dcd	Bump version: 0.30.0-beta.4 → 0.30.0-beta.5	2026-03-09 19:56:15 +00:00
Will JonesandJack Ye	5c3bd68e58	feat: upgrade Lance to 3.0.0-rc.3 (#3104 ) Co-authored-by: Jack Ye <yezhaoqin@gmail.com>	2026-03-09 12:55:20 -07:00
Weston Pace	4be85444f0	feat: infer js native arrays (#3119 ) When we create tables without using Arrow by parsing JS records we always infer to float64. Many times embeddings are not float64 and it would be nice to be able to use the native type without requiring users to pull in Arrow. We can utilize JS's builtin Float32Array to do this. This PR also adds support for UInt8/16/32 and Int8/16/32 arrays as well. Closes #3115	2026-03-09 10:13:59 -07:00
Xuanwo	68c07f333f	chore: unify component README titles (#3066 )	2026-03-09 21:47:58 +08:00
Lance Release	814a379e08	Bump version: 0.27.0-beta.3 → 0.27.0-beta.4	2026-03-09 08:47:17 +00:00
`@@ -1,4 +1,4 @@`
	`# LanceDB Java SDK`	`# LanceDB Java Enterprise Client`

	`## Configuration and Initialization`	`## Configuration and Initialization`
`@@ -1,4 +1,4 @@`
	`# LanceDB`	`# LanceDB Python SDK`

	`A Python library for [LanceDB](https://github.com/lancedb/lancedb).`	`A Python library for [LanceDB](https://github.com/lancedb/lancedb).`