fix: bump lance dependencies to v4.0.0-beta.12

Update workspace lance dependency version constraints from =3.0.0-rc.3 to =4.0.0-beta.12 so the sophon workspace patch can apply the local lance submodule. Previously the version mismatch caused cargo to use the git-tagged 3.x version alongside the 4.x submodule, causing type incompatibilities. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
fixes for breaking changes
2026-03-26 02:20:40 +00:00 · 2026-03-20 09:48:52 -07:00 · 2026-03-04 15:27:32 -08:00 · 2026-03-04 14:57:17 -08:00
78 changed files with 5259 additions and 6876 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.27.2-beta.0"
+current_version = "0.27.0-beta.3"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/.github/workflows/dev.yml
+++ b/.github/workflows/dev.yml
@@ -15,7 +15,7 @@ jobs:
    name: Label PR
    runs-on: ubuntu-latest
    steps:
-      - uses: srvaroa/labeler@v1
+      - uses: srvaroa/labeler@master
        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@v4
+      - uses: actions/setup-node@v3
        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@v7
+        uses: actions/github-script@v6
        with:
          script: |
            const message = `**ACTION NEEDED**
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -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@v4
+        uses: actions/setup-node@v3
        with:
          node-version: 20
          cache: 'npm'
@@ -68,7 +68,7 @@ jobs:
        run: |
          PYTHONPATH=. mkdocs build
      - name: Setup Pages
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v2
      - name: Upload artifact
        uses: actions/upload-pages-artifact@v3
        with:
--- a/.github/workflows/nodejs.yml
+++ b/.github/workflows/nodejs.yml
@@ -7,7 +7,6 @@ on:
  pull_request:
    paths:
      - Cargo.toml
-      - Cargo.lock
      - nodejs/**
      - rust/**
      - docs/src/js/**
@@ -38,7 +37,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v4
+    - uses: actions/setup-node@v3
      with:
        node-version: 20
        cache: 'npm'
@@ -78,7 +77,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v4
+    - uses: actions/setup-node@v3
      name: Setup Node.js 20 for build
      with:
        # @napi-rs/cli v3 requires Node >= 20.12 (via @inquirer/prompts@8).
@@ -95,7 +94,7 @@ jobs:
      run: |
        npm ci --include=optional
        npm run build:debug -- --profile ci
-    - uses: actions/setup-node@v4
+    - uses: actions/setup-node@v3
      name: Setup Node.js ${{ matrix.node-version }} for test
      with:
        node-version: ${{ matrix.node-version }}
@@ -144,7 +143,7 @@ jobs:
      with:
        fetch-depth: 0
        lfs: true
-    - uses: actions/setup-node@v4
+    - uses: actions/setup-node@v3
      with:
        node-version: 20
        cache: 'npm'
--- a/.github/workflows/npm-publish.yml
+++ b/.github/workflows/npm-publish.yml
@@ -19,7 +19,6 @@ on:
    paths:
      - .github/workflows/npm-publish.yml
      - Cargo.toml # Change in dependency frequently breaks builds
-      - Cargo.lock

 concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
@@ -125,12 +124,7 @@ jobs:
            pre_build: |-
              set -e &&
              apt-get update &&
-              apt-get install -y protobuf-compiler pkg-config &&
-              # The base image (manylinux2014-cross) sets TARGET_CC to the old
-              # GCC 4.8 cross-compiler. aws-lc-sys checks TARGET_CC before CC,
-              # so it picks up GCC even though the napi-rs image sets CC=clang.
-              # Override to use the image's clang-18 which supports -fuse-ld=lld.
-              export TARGET_CC=clang TARGET_CXX=clang++
+              apt-get install -y protobuf-compiler pkg-config
          - target: x86_64-unknown-linux-musl
            # This one seems to need some extra memory
            host: ubuntu-2404-8x-x64
@@ -150,10 +144,9 @@ jobs:
              set -e &&
              apt-get update &&
              apt-get install -y protobuf-compiler pkg-config &&
-              export TARGET_CC=clang TARGET_CXX=clang++ &&
-              # The manylinux2014 sysroot has glibc 2.17 headers which lack
-              # AT_HWCAP2 (added in Linux 3.17). Define it for aws-lc-sys.
-              export CFLAGS="$CFLAGS -DAT_HWCAP2=26" &&
+              # https://github.com/aws/aws-lc-rs/issues/737#issuecomment-2725918627
+              ln -s /usr/aarch64-unknown-linux-gnu/lib/gcc/aarch64-unknown-linux-gnu/4.8.5/crtbeginS.o /usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot/usr/lib/crtbeginS.o &&
+              ln -s /usr/aarch64-unknown-linux-gnu/lib/gcc /usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot/usr/lib/gcc &&
              rustup target add aarch64-unknown-linux-gnu
          - target: aarch64-unknown-linux-musl
            host: ubuntu-2404-8x-x64
@@ -273,7 +266,7 @@ jobs:
          - target: x86_64-unknown-linux-gnu
            host: ubuntu-latest
          - target: aarch64-unknown-linux-gnu
-            host: ubuntu-2404-8x-arm64
+            host: buildjet-16vcpu-ubuntu-2204-arm
        node:
          - '20'
    runs-on: ${{ matrix.settings.host }}
--- a/.github/workflows/pypi-publish.yml
+++ b/.github/workflows/pypi-publish.yml
@@ -9,7 +9,6 @@ on:
    paths:
      - .github/workflows/pypi-publish.yml
      - Cargo.toml # Change in dependency frequently breaks builds
-      - Cargo.lock

 env:
  PIP_EXTRA_INDEX_URL: "https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/"
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -7,7 +7,6 @@ on:
  pull_request:
    paths:
      - Cargo.toml
-      - Cargo.lock
      - python/**
      - rust/**
      - .github/workflows/python.yml
--- a/.github/workflows/rust.yml
+++ b/.github/workflows/rust.yml
@@ -7,7 +7,6 @@ on:
  pull_request:
    paths:
      - Cargo.toml
-      - Cargo.lock
      - rust/**
      - .github/workflows/rust.yml

@@ -207,14 +206,14 @@ jobs:
      - name: Downgrade  dependencies
        # These packages have newer requirements for MSRV
        run: |
-          cargo update -p aws-sdk-bedrockruntime --precise 1.77.0
-          cargo update -p aws-sdk-dynamodb --precise 1.68.0
-          cargo update -p aws-config --precise 1.6.0
-          cargo update -p aws-sdk-kms --precise 1.63.0
-          cargo update -p aws-sdk-s3 --precise 1.79.0
-          cargo update -p aws-sdk-sso --precise 1.62.0
-          cargo update -p aws-sdk-ssooidc --precise 1.63.0
-          cargo update -p aws-sdk-sts --precise 1.63.0
+          cargo update -p aws-sdk-bedrockruntime --precise 1.64.0
+          cargo update -p aws-sdk-dynamodb --precise 1.55.0
+          cargo update -p aws-config --precise 1.5.10
+          cargo update -p aws-sdk-kms --precise 1.51.0
+          cargo update -p aws-sdk-s3 --precise 1.65.0
+          cargo update -p aws-sdk-sso --precise 1.50.0
+          cargo update -p aws-sdk-ssooidc --precise 1.51.0
+          cargo update -p aws-sdk-sts --precise 1.51.0
          cargo update -p home --precise 0.5.9
      - name: cargo +${{ matrix.msrv }} check
        env:
--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -15,20 +15,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=4.0.0-rc.3", default-features = false, "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=4.0.0-rc.3", default-features = false, "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=4.0.0-rc.3", default-features = false, "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=4.0.0-rc.3", "tag" = "v4.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=4.0.0-beta.12", default-features = false, "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=4.0.0-beta.12", default-features = false, "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=4.0.0-beta.12", default-features = false, "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=4.0.0-beta.12", "tag" = "v4.0.0-beta.12", "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 }
--- a/ci/check_lance_release.py
+++ b/ci/check_lance_release.py
@@ -3,7 +3,6 @@
 from __future__ import annotations

 import argparse
-import functools
 import json
 import os
 import re
@@ -27,7 +26,6 @@ SEMVER_RE = re.compile(
 )


-@functools.total_ordering
@dataclass(frozen=True)
 class SemVer:
    major: int
@@ -158,9 +156,7 @@ def read_current_version(repo_root: Path) -> str:


 def determine_latest_tag(tags: Iterable[TagInfo]) -> TagInfo:
-    # Stable releases (no prerelease) are always preferred over pre-releases.
-    # Within each group, standard semver ordering applies.
-    return max(tags, key=lambda tag: (not tag.semver.prerelease, tag.semver))
+    return max(tags, key=lambda tag: tag.semver)


 def write_outputs(args: argparse.Namespace, payload: dict) -> None:
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,7 +1,7 @@
 version: "3.9"
 services:
  localstack:
-    image: localstack/localstack:4.0
+    image: localstack/localstack:3.3
    ports:
      - 4566:4566
    environment:
--- a/dockerfiles/Dockerfile
+++ b/dockerfiles/Dockerfile
@@ -1,27 +1,27 @@
-# Simple base dockerfile that supports basic dependencies required to run lance with FTS and Hybrid Search
-# Usage: docker build -t lancedb:latest -f Dockerfile .
-FROM python:3.12-slim-bookworm
+#Simple base dockerfile that supports basic dependencies required to run lance with FTS and Hybrid Search
+#Usage docker build -t lancedb:latest -f Dockerfile .
+FROM python:3.10-slim-buster

-# Install build dependencies in a single layer
-RUN apt-get update && \
-  apt-get install -y --no-install-recommends \
-    curl \
-    build-essential \
-    protobuf-compiler \
-    git \
-    ca-certificates && \
-  apt-get clean && \
-  rm -rf /var/lib/apt/lists/*
-
-# Install Rust (pinned installer, non-interactive)
-RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y --default-toolchain stable --profile minimal
+# Install Rust
+RUN apt-get update && apt-get install -y curl build-essential && \
+  curl https://sh.rustup.rs -sSf | sh -s -- -y

 # Set the environment variable for Rust
 ENV PATH="/root/.cargo/bin:${PATH}"

+# Install protobuf compiler
+RUN apt-get install -y protobuf-compiler && \
+  apt-get clean && \
+  rm -rf /var/lib/apt/lists/*
+
+RUN apt-get -y update &&\
+  apt-get -y upgrade && \
+  apt-get -y install git
+
+
 # Verify installations
 RUN python --version && \
  rustc --version && \
  protoc --version

-RUN pip install --no-cache-dir tantivy lancedb
+RUN pip install tantivy lancedb
--- a/docs/mkdocs.yml
+++ b/docs/mkdocs.yml
@@ -52,21 +52,14 @@ plugins:
          options:
            docstring_style: numpy
            heading_level: 3
+            show_source: true
+            show_symbol_type_in_heading: true
            show_signature_annotations: true
            show_root_heading: true
-            show_docstring_examples: true
-            show_docstring_attributes: false
-            show_docstring_other_parameters: true
-            show_symbol_type_heading: true
-            show_labels: false
-            show_if_no_docstring: true
-            show_source: false
            members_order: source
            docstring_section_style: list
            signature_crossrefs: true
            separate_signature: true
-            filters:
-              - "!^_"
          import:
            # for cross references
            - https://arrow.apache.org/docs/objects.inv
@@ -120,7 +113,7 @@ markdown_extensions:
      emoji_index: !!python/name:material.extensions.emoji.twemoji
      emoji_generator: !!python/name:material.extensions.emoji.to_svg
  - markdown.extensions.toc:
-      toc_depth: 4
+      toc_depth: 3
      permalink: true
      permalink_title: Anchor link to this section

--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -1,9 +1,9 @@
-mkdocs==1.6.1
+mkdocs==1.5.3
 mkdocs-jupyter==0.24.1
-mkdocs-material==9.6.23
-mkdocs-autorefs>=0.5,<=1.0
-mkdocstrings[python]>=0.24,<1.0
-griffe>=0.40,<1.0
-mkdocs-render-swagger-plugin>=0.1.0
-pydantic>=2.0,<3.0
-mkdocs-redirects>=1.2.0
+mkdocs-material==9.5.3
+mkdocs-autorefs<=1.0
+mkdocstrings[python]==0.25.2
+griffe
+mkdocs-render-swagger-plugin
+pydantic
+mkdocs-redirects
--- a/docs/src/java/java.md
+++ b/docs/src/java/java.md
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.27.2-beta.0</version>
+    <version>0.27.0-beta.3</version>
 </dependency>
 ```

--- a/docs/src/js/classes/Table.md
+++ b/docs/src/js/classes/Table.md
@@ -71,12 +71,11 @@ Add new columns with defined values.

 #### Parameters

-* **newColumnTransforms**: `Field`&lt;`any`&gt; \| `Field`&lt;`any`&gt;[] \| `Schema`&lt;`any`&gt; \| [`AddColumnsSql`](../interfaces/AddColumnsSql.md)[]
-    Either:
-    - An array of objects with column names and SQL expressions to calculate values
-    - A single Arrow Field defining one column with its data type (column will be initialized with null values)
-    - An array of Arrow Fields defining columns with their data types (columns will be initialized with null values)
-    - An Arrow Schema defining columns with their data types (columns will be initialized with null values)
+* **newColumnTransforms**: [`AddColumnsSql`](../interfaces/AddColumnsSql.md)[]
+    pairs of column names and
+    the SQL expression to use to calculate the value of the new column. These
+    expressions will be evaluated for each row in the table, and can
+    reference existing columns in the table.

 #### Returns

@@ -485,7 +484,19 @@ Modeled after ``VACUUM`` in PostgreSQL.
 - Prune: Removes old versions of the dataset
 - Index: Optimizes the indices, adding new data to existing indices

- The frequency an application should call optimize is based on the frequency of
+ Experimental API
+ ----------------
+
+ The optimization process is undergoing active development and may change.
+ Our goal with these changes is to improve the performance of optimization and
+ reduce the complexity.
+
+ That being said, it is essential today to run optimize if you want the best
+ performance.  It should be stable and safe to use in production, but it our
+ hope that the API may be simplified (or not even need to be called) in the
+ future.
+
+ The frequency an application shoudl call optimize is based on the frequency of
 data modifications.  If data is frequently added, deleted, or updated then
 optimize should be run frequently.  A good rule of thumb is to run optimize if
 you have added or modified 100,000 or more records or run more than 20 data
--- a/docs/src/js/interfaces/OptimizeOptions.md
+++ b/docs/src/js/interfaces/OptimizeOptions.md
@@ -37,12 +37,3 @@ tbl.optimize({cleanupOlderThan: new Date()});
 ```ts
 deleteUnverified: boolean;
 ```
-
-Because they may be part of an in-progress transaction, files newer than
-7 days old are not deleted by default. If you are sure that there are no
-in-progress transactions, then you can set this to true to delete all
-files older than `cleanupOlderThan`.
-
-**WARNING**: This should only be set to true if you can guarantee that
-no other process is currently working on this dataset. Otherwise the
-dataset could be put into a corrupted state.
--- a/java/README.md
+++ b/java/README.md
@@ -1,4 +1,4 @@
-# LanceDB Java Enterprise Client
+# LanceDB Java SDK

 ## Configuration and Initialization

--- a/java/lancedb-core/pom.xml
+++ b/java/lancedb-core/pom.xml
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.27.2-beta.0</version>
+      <version>0.27.0-beta.3</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

@@ -56,21 +56,21 @@
        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-slf4j2-impl</artifactId>
-            <version>2.25.3</version>
+            <version>2.24.3</version>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-core</artifactId>
-            <version>2.25.3</version>
+            <version>2.24.3</version>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.logging.log4j</groupId>
            <artifactId>log4j-api</artifactId>
-            <version>2.25.3</version>
+            <version>2.24.3</version>
            <scope>test</scope>
        </dependency>
    </dependencies>
--- a/java/pom.xml
+++ b/java/pom.xml
@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.27.2-beta.0</version>
+    <version>0.27.0-beta.3</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>3.0.1</lance-core.version>
+        <lance-core.version>3.1.0-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>
@@ -111,7 +111,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-source-plugin</artifactId>
-                <version>3.3.1</version>
+                <version>2.2.1</version>
                <executions>
                    <execution>
                        <id>attach-sources</id>
@@ -124,7 +124,7 @@
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-javadoc-plugin</artifactId>
-                <version>3.11.2</version>
+                <version>2.9.1</version>
                <executions>
                    <execution>
                        <id>attach-javadocs</id>
@@ -178,15 +178,15 @@
            <plugins>
                <plugin>
                    <artifactId>maven-clean-plugin</artifactId>
-                    <version>3.4.1</version>
+                    <version>3.1.0</version>
                </plugin>
                <plugin>
                    <artifactId>maven-resources-plugin</artifactId>
-                    <version>3.3.1</version>
+                    <version>3.0.2</version>
                </plugin>
                <plugin>
                    <artifactId>maven-compiler-plugin</artifactId>
-                    <version>3.14.0</version>
+                    <version>3.8.1</version>
                    <configuration>
                        <compilerArgs>
                            <arg>-h</arg>
@@ -205,11 +205,11 @@
                </plugin>
                <plugin>
                    <artifactId>maven-jar-plugin</artifactId>
-                    <version>3.4.2</version>
+                    <version>3.0.2</version>
                </plugin>
                <plugin>
                    <artifactId>maven-install-plugin</artifactId>
-                    <version>3.1.3</version>
+                    <version>2.5.2</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>3.2.7</version>
+                        <version>1.5</version>
                        <executions>
                            <execution>
                                <id>sign-artifacts</id>
--- a/nodejs/Cargo.toml
+++ b/nodejs/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.27.2-beta.0"
+version = "0.27.0-beta.3"
 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 = "0.1", features = ["static"] }
+lzma-sys = { version = "*", features = ["static"] }
 log.workspace = true

-# Pin to resolve build failures; update periodically for security patches.
-aws-lc-sys = "=0.38.0"
-aws-lc-rs = "=1.16.1"
+# Workaround for build failure until we can fix it.
+aws-lc-sys = "=0.28.0"
+aws-lc-rs = "=1.13.0"

 [build-dependencies]
 napi-build = "2.3.1"
--- a/nodejs/test/arrow.test.ts
+++ b/nodejs/test/arrow.test.ts
@@ -63,7 +63,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      tableFromIPC,
      DataType,
      Dictionary,
-      Uint8: ArrowUint8,
      // biome-ignore lint/suspicious/noExplicitAny: <explanation>
    } = <any>arrow;
    type Schema = ApacheArrow["Schema"];
@@ -363,38 +362,6 @@ 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);
--- a/nodejs/test/table.test.ts
+++ b/nodejs/test/table.test.ts
@@ -1259,98 +1259,6 @@ describe("schema evolution", function () {
    expect(await table.schema()).toEqual(expectedSchema);
  });

-  it("can add columns with schema for explicit data types", async function () {
-    const con = await connect(tmpDir.name);
-    const table = await con.createTable("vectors", [
-      { id: 1n, vector: [0.1, 0.2] },
-    ]);
-
-    // Define schema for new columns with explicit data types
-    // Note: All columns must be nullable when using addColumns with Schema
-    // because they are initially populated with null values
-    const newColumnsSchema = new Schema([
-      new Field("price", new Float64(), true),
-      new Field("category", new Utf8(), true),
-      new Field("rating", new Int32(), true),
-    ]);
-
-    const result = await table.addColumns(newColumnsSchema);
-    expect(result).toHaveProperty("version");
-    expect(result.version).toBe(2);
-
-    const expectedSchema = new Schema([
-      new Field("id", new Int64(), true),
-      new Field(
-        "vector",
-        new FixedSizeList(2, new Field("item", new Float32(), true)),
-        true,
-      ),
-      new Field("price", new Float64(), true),
-      new Field("category", new Utf8(), true),
-      new Field("rating", new Int32(), true),
-    ]);
-    expect(await table.schema()).toEqual(expectedSchema);
-
-    // Verify that new columns are populated with null values
-    const results = await table.query().toArray();
-    expect(results).toHaveLength(1);
-    expect(results[0].price).toBeNull();
-    expect(results[0].category).toBeNull();
-    expect(results[0].rating).toBeNull();
-  });
-
-  it("can add a single column using Field", async function () {
-    const con = await connect(tmpDir.name);
-    const table = await con.createTable("vectors", [
-      { id: 1n, vector: [0.1, 0.2] },
-    ]);
-
-    // Add a single field
-    const priceField = new Field("price", new Float64(), true);
-    const result = await table.addColumns(priceField);
-    expect(result).toHaveProperty("version");
-    expect(result.version).toBe(2);
-
-    const expectedSchema = new Schema([
-      new Field("id", new Int64(), true),
-      new Field(
-        "vector",
-        new FixedSizeList(2, new Field("item", new Float32(), true)),
-        true,
-      ),
-      new Field("price", new Float64(), true),
-    ]);
-    expect(await table.schema()).toEqual(expectedSchema);
-  });
-
-  it("can add multiple columns using array of Fields", async function () {
-    const con = await connect(tmpDir.name);
-    const table = await con.createTable("vectors", [
-      { id: 1n, vector: [0.1, 0.2] },
-    ]);
-
-    // Add multiple fields as array
-    const fields = [
-      new Field("price", new Float64(), true),
-      new Field("category", new Utf8(), true),
-    ];
-    const result = await table.addColumns(fields);
-    expect(result).toHaveProperty("version");
-    expect(result.version).toBe(2);
-
-    const expectedSchema = new Schema([
-      new Field("id", new Int64(), true),
-      new Field(
-        "vector",
-        new FixedSizeList(2, new Field("item", new Float32(), true)),
-        true,
-      ),
-      new Field("price", new Float64(), true),
-      new Field("category", new Utf8(), true),
-    ]);
-    expect(await table.schema()).toEqual(expectedSchema);
-  });
-
  it("can alter the columns in the schema", async function () {
    const con = await connect(tmpDir.name);
    const schema = new Schema([
@@ -2296,36 +2204,3 @@ 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);
-  });
-});
--- a/nodejs/examples/package-lock.json
+++ b/nodejs/examples/package-lock.json
@@ -30,15 +30,12 @@
        "x64",
        "arm64"
      ],
-      "dev": true,
      "license": "Apache-2.0",
-      "optional": true,
      "os": [
        "darwin",
        "linux",
        "win32"
      ],
-      "peer": true,
      "dependencies": {
        "reflect-metadata": "^0.2.2"
      },
@@ -94,15 +91,14 @@
      }
    },
    "node_modules/@babel/code-frame": {
-      "version": "7.29.0",
-      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz",
-      "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==",
+      "version": "7.26.2",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.26.2.tgz",
+      "integrity": "sha512-RJlIHRueQgwWitWgF8OdFYGZX328Ax5BCemNGlqHfplnRT9ESi8JkFlvaVYbS+UubVY6dpv87Fs2u5M29iNFVQ==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
-        "@babel/helper-validator-identifier": "^7.28.5",
+        "@babel/helper-validator-identifier": "^7.25.9",
        "js-tokens": "^4.0.0",
-        "picocolors": "^1.1.1"
+        "picocolors": "^1.0.0"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -237,21 +233,19 @@
      }
    },
    "node_modules/@babel/helper-string-parser": {
-      "version": "7.27.1",
-      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.27.1.tgz",
-      "integrity": "sha512-qMlSxKbpRlAridDExk92nSobyDdpPijUq2DW6oDnUqd0iOGxmQjyqhMIihI9+zv4LPyZdRje2cavWPbCbWm3eA==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.25.9.tgz",
+      "integrity": "sha512-4A/SCr/2KLd5jrtOMFzaKjVtAei3+2r/NChoBNoZ3EyP/+GlhoaEGoWOZUmFmoITP7zOJyHIMm+DYRd8o3PvHA==",
      "dev": true,
-      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
    },
    "node_modules/@babel/helper-validator-identifier": {
-      "version": "7.28.5",
-      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.28.5.tgz",
-      "integrity": "sha512-qSs4ifwzKJSV39ucNjsvc6WVHs6b7S03sOh2OcHF9UHfVPqWWALUsNUVzhSBiItjRZoLHx7nIarVjqKVusUZ1Q==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.25.9.tgz",
+      "integrity": "sha512-Ed61U6XJc3CVRfkERJWDz4dJwKe7iLmmJsbOGu9wSloNSFttHV0I8g6UAgb7qnK5ly5bGLPd4oXZlxCdANBOWQ==",
      "dev": true,
-      "license": "MIT",
      "engines": {
        "node": ">=6.9.0"
      }
@@ -266,27 +260,25 @@
      }
    },
    "node_modules/@babel/helpers": {
-      "version": "7.28.6",
-      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.28.6.tgz",
-      "integrity": "sha512-xOBvwq86HHdB7WUDTfKfT/Vuxh7gElQ+Sfti2Cy6yIWNW05P8iUslOVcZ4/sKbE+/jQaukQAdz/gf3724kYdqw==",
+      "version": "7.26.0",
+      "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.26.0.tgz",
+      "integrity": "sha512-tbhNuIxNcVb21pInl3ZSjksLCvgdZy9KwJ8brv993QtIVKJBBkYXz4q4ZbAv31GdnC+R90np23L5FbEBlthAEw==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
-        "@babel/template": "^7.28.6",
-        "@babel/types": "^7.28.6"
+        "@babel/template": "^7.25.9",
+        "@babel/types": "^7.26.0"
      },
      "engines": {
        "node": ">=6.9.0"
      }
    },
    "node_modules/@babel/parser": {
-      "version": "7.29.0",
-      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.29.0.tgz",
-      "integrity": "sha512-IyDgFV5GeDUVX4YdF/3CPULtVGSXXMLh1xVIgdCgxApktqnQV0r7/8Nqthg+8YLGaAtdyIlo2qIdZrbCv4+7ww==",
+      "version": "7.26.2",
+      "resolved": "https://registry.npmjs.org/@babel/parser/-/parser-7.26.2.tgz",
+      "integrity": "sha512-DWMCZH9WA4Maitz2q21SRKHo9QXZxkDsbNZoVD62gusNtNBBqDg9i7uOhASfTfIGNzW+O+r7+jAlM8dwphcJKQ==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
-        "@babel/types": "^7.29.0"
+        "@babel/types": "^7.26.0"
      },
      "bin": {
        "parser": "bin/babel-parser.js"
@@ -518,15 +510,14 @@
      }
    },
    "node_modules/@babel/template": {
-      "version": "7.28.6",
-      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.28.6.tgz",
-      "integrity": "sha512-YA6Ma2KsCdGb+WC6UpBVFJGXL58MDA6oyONbjyF/+5sBgxY/dwkhLogbMT2GXXyU84/IhRw/2D1Os1B/giz+BQ==",
+      "version": "7.25.9",
+      "resolved": "https://registry.npmjs.org/@babel/template/-/template-7.25.9.tgz",
+      "integrity": "sha512-9DGttpmPvIxBb/2uwpVo3dqJ+O6RooAFOS+lB+xDqoE2PVCE8nfoHMdZLpfCQRLwvohzXISPZcgxt80xLfsuwg==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
-        "@babel/code-frame": "^7.28.6",
-        "@babel/parser": "^7.28.6",
-        "@babel/types": "^7.28.6"
+        "@babel/code-frame": "^7.25.9",
+        "@babel/parser": "^7.25.9",
+        "@babel/types": "^7.25.9"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -551,14 +542,13 @@
      }
    },
    "node_modules/@babel/types": {
-      "version": "7.29.0",
-      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.29.0.tgz",
-      "integrity": "sha512-LwdZHpScM4Qz8Xw2iKSzS+cfglZzJGvofQICy7W7v4caru4EaAmyUuO6BGrbyQ2mYV11W0U8j5mBhd14dd3B0A==",
+      "version": "7.26.0",
+      "resolved": "https://registry.npmjs.org/@babel/types/-/types-7.26.0.tgz",
+      "integrity": "sha512-Z/yiTPj+lDVnF7lWeKCIJzaIkI0vYO87dMpZ4bg4TDrFe4XXLFWL1TbXU27gBP3QccxV9mZICCrnjnYlJjXHOA==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
-        "@babel/helper-string-parser": "^7.27.1",
-        "@babel/helper-validator-identifier": "^7.28.5"
+        "@babel/helper-string-parser": "^7.25.9",
+        "@babel/helper-validator-identifier": "^7.25.9"
      },
      "engines": {
        "node": ">=6.9.0"
@@ -1161,6 +1151,95 @@
        "url": "https://opencollective.com/libvips"
      }
    },
+    "node_modules/@isaacs/cliui": {
+      "version": "8.0.2",
+      "resolved": "https://registry.npmjs.org/@isaacs/cliui/-/cliui-8.0.2.tgz",
+      "integrity": "sha512-O8jcjabXaleOG9DQ0+ARXWZBTfnP4WNAqzuiJK7ll44AmxGKv/J2M4TPjxjY3znBCfvBXFzucm1twdyFybFqEA==",
+      "dependencies": {
+        "string-width": "^5.1.2",
+        "string-width-cjs": "npm:string-width@^4.2.0",
+        "strip-ansi": "^7.0.1",
+        "strip-ansi-cjs": "npm:strip-ansi@^6.0.1",
+        "wrap-ansi": "^8.1.0",
+        "wrap-ansi-cjs": "npm:wrap-ansi@^7.0.0"
+      },
+      "engines": {
+        "node": ">=12"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/ansi-regex": {
+      "version": "6.1.0",
+      "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.1.0.tgz",
+      "integrity": "sha512-7HSX4QQb4CspciLpVFwyRe79O3xsIZDDLER21kERQ71oaPodF8jL725AgJMFAYbooIqolJoRLuM81SpeUkpkvA==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-regex?sponsor=1"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/ansi-styles": {
+      "version": "6.2.1",
+      "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz",
+      "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/ansi-styles?sponsor=1"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/emoji-regex": {
+      "version": "9.2.2",
+      "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz",
+      "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg=="
+    },
+    "node_modules/@isaacs/cliui/node_modules/string-width": {
+      "version": "5.1.2",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz",
+      "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==",
+      "dependencies": {
+        "eastasianwidth": "^0.2.0",
+        "emoji-regex": "^9.2.2",
+        "strip-ansi": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/strip-ansi": {
+      "version": "7.1.0",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz",
+      "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==",
+      "dependencies": {
+        "ansi-regex": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/strip-ansi?sponsor=1"
+      }
+    },
+    "node_modules/@isaacs/cliui/node_modules/wrap-ansi": {
+      "version": "8.1.0",
+      "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz",
+      "integrity": "sha512-si7QWI6zUMq56bESFvagtmzMdGOtoxfR+Sez11Mobfc7tm+VkUckk9bW2UeffTGVUbOksxmSw0AA2gs8g71NCQ==",
+      "dependencies": {
+        "ansi-styles": "^6.1.0",
+        "string-width": "^5.0.1",
+        "strip-ansi": "^7.0.1"
+      },
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/chalk/wrap-ansi?sponsor=1"
+      }
+    },
    "node_modules/@isaacs/fs-minipass": {
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-      "integrity": "sha512-PMSmkqxr106Xa156c2M265Z+FTrPl+oxd/rgOQy2tijQeK5TxQ43psO1ZCwhVOSdnn+RzkzlRz/eY4BgJBYVpg==",
+      "version": "3.14.1",
+      "resolved": "https://registry.npmjs.org/js-yaml/-/js-yaml-3.14.1.tgz",
+      "integrity": "sha512-okMH7OXXJ7YrN9Ok3/SXrnu4iX9yOk+25nqX4imS2npuvTYDmo/QEZoqwZkYaIDk3jVvBOTOIEgEhaLOynBS9g==",
      "dev": true,
-      "license": "MIT",
      "dependencies": {
        "argparse": "^1.0.7",
        "esprima": "^4.0.0"
@@ -3756,15 +3728,6 @@
        "tmpl": "1.0.5"
      }
    },
-    "node_modules/math-intrinsics": {
-      "version": "1.1.0",
-      "resolved": "https://registry.npmjs.org/math-intrinsics/-/math-intrinsics-1.1.0.tgz",
-      "integrity": "sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==",
-      "license": "MIT",
-      "engines": {
-        "node": ">= 0.4"
-      }
-    },
    "node_modules/merge-stream": {
      "version": "2.0.0",
      "resolved": "https://registry.npmjs.org/merge-stream/-/merge-stream-2.0.0.tgz",
@@ -3813,11 +3776,10 @@
      }
    },
    "node_modules/minimatch": {
-      "version": "3.1.5",
-      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.5.tgz",
-      "integrity": "sha512-VgjWUsnnT6n+NUk6eZq77zeFdpW2LWDzP6zFGrCbHXiYNul5Dzqk2HHQ5uFH2DNW5Xbp8+jVzaeNt94ssEEl4w==",
+      "version": "3.1.2",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-3.1.2.tgz",
+      "integrity": "sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==",
      "dev": true,
-      "license": "ISC",
      "dependencies": {
        "brace-expansion": "^1.1.7"
      },
@@ -3834,17 +3796,31 @@
      }
    },
    "node_modules/minizlib": {
-      "version": "3.1.0",
-      "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-3.1.0.tgz",
-      "integrity": "sha512-KZxYo1BUkWD2TVFLr0MQoM8vUUigWD3LlD83a/75BqC+4qE0Hb1Vo5v1FgcfaNXvfXzr+5EhQ6ing/CaBijTlw==",
-      "license": "MIT",
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/minizlib/-/minizlib-3.0.1.tgz",
+      "integrity": "sha512-umcy022ILvb5/3Djuu8LWeqUa8D68JaBzlttKeMWen48SjabqS3iY5w/vzeMzMUNhLDifyhbOwKDSznB1vvrwg==",
      "dependencies": {
-        "minipass": "^7.1.2"
+        "minipass": "^7.0.4",
+        "rimraf": "^5.0.5"
      },
      "engines": {
        "node": ">= 18"
      }
    },
+    "node_modules/mkdirp": {
+      "version": "3.0.1",
+      "resolved": "https://registry.npmjs.org/mkdirp/-/mkdirp-3.0.1.tgz",
+      "integrity": "sha512-+NsyUUAZDmo6YVHzL/stxSu3t9YS1iljliy3BSDrXJ/dkn1KYdmtZODGGjLcc9XLgVVpH4KshHB8XmZgMhaBXg==",
+      "bin": {
+        "mkdirp": "dist/cjs/src/bin.js"
+      },
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
    "node_modules/ms": {
      "version": "2.1.3",
      "resolved": "https://registry.npmjs.org/ms/-/ms-2.1.3.tgz",
@@ -4034,6 +4010,11 @@
        "node": ">=6"
      }
    },
+    "node_modules/package-json-from-dist": {
+      "version": "1.0.1",
+      "resolved": "https://registry.npmjs.org/package-json-from-dist/-/package-json-from-dist-1.0.1.tgz",
+      "integrity": "sha512-UEZIS3/by4OC8vL3P2dTXRETpebLI2NiI5vIrjaD/5UtrkFX/tNbwjTSRAGC/+7CAo2pIcBaRgWmcBBHcsaCIw=="
+    },
    "node_modules/parse-json": {
      "version": "5.2.0",
      "resolved": "https://registry.npmjs.org/parse-json/-/parse-json-5.2.0.tgz",
@@ -4074,7 +4055,6 @@
      "version": "3.1.1",
      "resolved": "https://registry.npmjs.org/path-key/-/path-key-3.1.1.tgz",
      "integrity": "sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==",
-      "dev": true,
      "engines": {
        "node": ">=8"
      }
@@ -4085,6 +4065,26 @@
      "integrity": "sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==",
      "dev": true
    },
+    "node_modules/path-scurry": {
+      "version": "1.11.1",
+      "resolved": "https://registry.npmjs.org/path-scurry/-/path-scurry-1.11.1.tgz",
+      "integrity": "sha512-Xa4Nw17FS9ApQFJ9umLiJS4orGjm7ZzwUrwamcGQuHSzDyth9boKDaycYdDcZDuqYATXw4HFXgaqWTctW/v1HA==",
+      "dependencies": {
+        "lru-cache": "^10.2.0",
+        "minipass": "^5.0.0 || ^6.0.2 || ^7.0.0"
+      },
+      "engines": {
+        "node": ">=16 || 14 >=14.18"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
+    "node_modules/path-scurry/node_modules/lru-cache": {
+      "version": "10.4.3",
+      "resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz",
+      "integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ=="
+    },
    "node_modules/picocolors": {
      "version": "1.1.1",
      "resolved": "https://registry.npmjs.org/picocolors/-/picocolors-1.1.1.tgz",
@@ -4246,6 +4246,61 @@
        "node": ">=10"
      }
    },
+    "node_modules/rimraf": {
+      "version": "5.0.10",
+      "resolved": "https://registry.npmjs.org/rimraf/-/rimraf-5.0.10.tgz",
+      "integrity": "sha512-l0OE8wL34P4nJH/H2ffoaniAokM2qSmrtXHmlpvYr5AVVX8msAyW0l8NVJFDxlSK4u3Uh/f41cQheDVdnYijwQ==",
+      "dependencies": {
+        "glob": "^10.3.7"
+      },
+      "bin": {
+        "rimraf": "dist/esm/bin.mjs"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
+    "node_modules/rimraf/node_modules/brace-expansion": {
+      "version": "2.0.1",
+      "resolved": "https://registry.npmjs.org/brace-expansion/-/brace-expansion-2.0.1.tgz",
+      "integrity": "sha512-XnAIvQ8eM+kC6aULx6wuQiwVsnzsi9d3WxzV3FpWTGA19F621kwdbsAcFKXgKUHZWsy+mY6iL1sHTxWEFCytDA==",
+      "dependencies": {
+        "balanced-match": "^1.0.0"
+      }
+    },
+    "node_modules/rimraf/node_modules/glob": {
+      "version": "10.4.5",
+      "resolved": "https://registry.npmjs.org/glob/-/glob-10.4.5.tgz",
+      "integrity": "sha512-7Bv8RF0k6xjo7d4A/PxYLbUCfb6c+Vpd2/mB2yRDlew7Jb5hEXiCD9ibfO7wpk8i4sevK6DFny9h7EYbM3/sHg==",
+      "dependencies": {
+        "foreground-child": "^3.1.0",
+        "jackspeak": "^3.1.2",
+        "minimatch": "^9.0.4",
+        "minipass": "^7.1.2",
+        "package-json-from-dist": "^1.0.0",
+        "path-scurry": "^1.11.1"
+      },
+      "bin": {
+        "glob": "dist/esm/bin.mjs"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
+    "node_modules/rimraf/node_modules/minimatch": {
+      "version": "9.0.5",
+      "resolved": "https://registry.npmjs.org/minimatch/-/minimatch-9.0.5.tgz",
+      "integrity": "sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==",
+      "dependencies": {
+        "brace-expansion": "^2.0.1"
+      },
+      "engines": {
+        "node": ">=16 || 14 >=14.17"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/isaacs"
+      }
+    },
    "node_modules/semver": {
      "version": "7.6.3",
      "resolved": "https://registry.npmjs.org/semver/-/semver-7.6.3.tgz",
@@ -4299,7 +4354,6 @@
      "version": "2.0.0",
      "resolved": "https://registry.npmjs.org/shebang-command/-/shebang-command-2.0.0.tgz",
      "integrity": "sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==",
-      "dev": true,
      "dependencies": {
        "shebang-regex": "^3.0.0"
      },
@@ -4311,7 +4365,6 @@
      "version": "3.0.0",
      "resolved": "https://registry.npmjs.org/shebang-regex/-/shebang-regex-3.0.0.tgz",
      "integrity": "sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==",
-      "dev": true,
      "engines": {
        "node": ">=8"
      }
@@ -4399,7 +4452,20 @@
      "version": "4.2.3",
      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
-      "dev": true,
+      "dependencies": {
+        "emoji-regex": "^8.0.0",
+        "is-fullwidth-code-point": "^3.0.0",
+        "strip-ansi": "^6.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/string-width-cjs": {
+      "name": "string-width",
+      "version": "4.2.3",
+      "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz",
+      "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==",
      "dependencies": {
        "emoji-regex": "^8.0.0",
        "is-fullwidth-code-point": "^3.0.0",
@@ -4413,7 +4479,18 @@
      "version": "6.0.1",
      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
-      "dev": true,
+      "dependencies": {
+        "ansi-regex": "^5.0.1"
+      },
+      "engines": {
+        "node": ">=8"
+      }
+    },
+    "node_modules/strip-ansi-cjs": {
+      "name": "strip-ansi",
+      "version": "6.0.1",
+      "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",
+      "integrity": "sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==",
      "dependencies": {
        "ansi-regex": "^5.0.1"
      },
@@ -4464,15 +4541,15 @@
      }
    },
    "node_modules/tar": {
-      "version": "7.5.10",
-      "resolved": "https://registry.npmjs.org/tar/-/tar-7.5.10.tgz",
-      "integrity": "sha512-8mOPs1//5q/rlkNSPcCegA6hiHJYDmSLEI8aMH/CdSQJNWztHC9WHNam5zdQlfpTwB9Xp7IBEsHfV5LKMJGVAw==",
-      "license": "BlueOak-1.0.0",
+      "version": "7.4.3",
+      "resolved": "https://registry.npmjs.org/tar/-/tar-7.4.3.tgz",
+      "integrity": "sha512-5S7Va8hKfV7W5U6g3aYxXmlPoZVAwUMy9AOKyF2fVuZa2UD3qZjg578OrLRt8PcNN1PleVaL/5/yYATNL0ICUw==",
      "dependencies": {
        "@isaacs/fs-minipass": "^4.0.0",
        "chownr": "^3.0.0",
        "minipass": "^7.1.2",
-        "minizlib": "^3.1.0",
+        "minizlib": "^3.0.1",
+        "mkdirp": "^3.0.1",
        "yallist": "^5.0.0"
      },
      "engines": {
@@ -4705,7 +4782,6 @@
      "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"
      },
@@ -4733,6 +4809,23 @@
        "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",
--- a/nodejs/lancedb/arrow.ts
+++ b/nodejs/lancedb/arrow.ts
@@ -20,8 +20,6 @@ import {
  Float32,
  Float64,
  Int,
-  Int8,
-  Int16,
  Int32,
  Int64,
  LargeBinary,
@@ -37,8 +35,6 @@ import {
  Timestamp,
  Type,
  Uint8,
-  Uint16,
-  Uint32,
  Utf8,
  Vector,
  makeVector as arrowMakeVector,
@@ -533,8 +529,7 @@ function isObject(value: unknown): value is Record<string, unknown> {
    !(value instanceof Date) &&
    !(value instanceof Set) &&
    !(value instanceof Map) &&
-    !(value instanceof Buffer) &&
-    !ArrayBuffer.isView(value)
+    !(value instanceof Buffer)
  );
 }

@@ -593,13 +588,6 @@ 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
@@ -758,32 +746,6 @@ 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[],
@@ -852,16 +814,6 @@ 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[][]);
--- a/nodejs/lancedb/table.ts
+++ b/nodejs/lancedb/table.ts
@@ -5,15 +5,12 @@ import {
  Table as ArrowTable,
  Data,
  DataType,
-  Field,
  IntoVector,
  MultiVector,
  Schema,
  dataTypeToJson,
  fromDataToBuffer,
-  fromTableToBuffer,
  isMultiVector,
-  makeEmptyTable,
  tableFromIPC,
 } from "./arrow";

@@ -87,16 +84,6 @@ export interface OptimizeOptions {
   * tbl.optimize({cleanupOlderThan: new Date()});
   */
  cleanupOlderThan: Date;
-  /**
-   * Because they may be part of an in-progress transaction, files newer than
-   * 7 days old are not deleted by default. If you are sure that there are no
-   * in-progress transactions, then you can set this to true to delete all
-   * files older than `cleanupOlderThan`.
-   *
-   * **WARNING**: This should only be set to true if you can guarantee that
-   * no other process is currently working on this dataset. Otherwise the
-   * dataset could be put into a corrupted state.
-   */
  deleteUnverified: boolean;
 }

@@ -394,16 +381,15 @@ export abstract class Table {
  abstract vectorSearch(vector: IntoVector | MultiVector): VectorQuery;
  /**
   * Add new columns with defined values.
-   * @param {AddColumnsSql[] | Field | Field[] | Schema} newColumnTransforms Either:
-   *   - An array of objects with column names and SQL expressions to calculate values
-   *   - A single Arrow Field defining one column with its data type (column will be initialized with null values)
-   *   - An array of Arrow Fields defining columns with their data types (columns will be initialized with null values)
-   *   - An Arrow Schema defining columns with their data types (columns will be initialized with null values)
+   * @param {AddColumnsSql[]} newColumnTransforms pairs of column names and
+   * the SQL expression to use to calculate the value of the new column. These
+   * expressions will be evaluated for each row in the table, and can
+   * reference existing columns in the table.
   * @returns {Promise<AddColumnsResult>} A promise that resolves to an object
   * containing the new version number of the table after adding the columns.
   */
  abstract addColumns(
-    newColumnTransforms: AddColumnsSql[] | Field | Field[] | Schema,
+    newColumnTransforms: AddColumnsSql[],
  ): Promise<AddColumnsResult>;

  /**
@@ -515,7 +501,19 @@ export abstract class Table {
   *  - Index: Optimizes the indices, adding new data to existing indices
   *
   *
-   *  The frequency an application should call optimize is based on the frequency of
+   *  Experimental API
+   *  ----------------
+   *
+   *  The optimization process is undergoing active development and may change.
+   *  Our goal with these changes is to improve the performance of optimization and
+   *  reduce the complexity.
+   *
+   *  That being said, it is essential today to run optimize if you want the best
+   *  performance.  It should be stable and safe to use in production, but it our
+   *  hope that the API may be simplified (or not even need to be called) in the
+   *  future.
+   *
+   *  The frequency an application shoudl call optimize is based on the frequency of
   *  data modifications.  If data is frequently added, deleted, or updated then
   *  optimize should be run frequently.  A good rule of thumb is to run optimize if
   *  you have added or modified 100,000 or more records or run more than 20 data
@@ -808,40 +806,9 @@ export class LocalTable extends Table {
  // TODO: Support BatchUDF

  async addColumns(
-    newColumnTransforms: AddColumnsSql[] | Field | Field[] | Schema,
+    newColumnTransforms: AddColumnsSql[],
  ): Promise<AddColumnsResult> {
-    // Handle single Field -> convert to array of Fields
-    if (newColumnTransforms instanceof Field) {
-      newColumnTransforms = [newColumnTransforms];
-    }
-
-    // Handle array of Fields -> convert to Schema
-    if (
-      Array.isArray(newColumnTransforms) &&
-      newColumnTransforms.length > 0 &&
-      newColumnTransforms[0] instanceof Field
-    ) {
-      const fields = newColumnTransforms as Field[];
-      newColumnTransforms = new Schema(fields);
-    }
-
-    // Handle Schema -> use schema-based approach
-    if (newColumnTransforms instanceof Schema) {
-      const schema = newColumnTransforms;
-      // Convert schema to buffer using Arrow IPC format
-      const emptyTable = makeEmptyTable(schema);
-      const schemaBuf = await fromTableToBuffer(emptyTable);
-      return await this.inner.addColumnsWithSchema(schemaBuf);
-    }
-
-    // Handle SQL expressions (existing functionality)
-    if (Array.isArray(newColumnTransforms)) {
-      return await this.inner.addColumns(
-        newColumnTransforms as AddColumnsSql[],
-      );
-    }
-
-    throw new Error("Invalid input type for addColumns");
+    return await this.inner.addColumns(newColumnTransforms);
  }

  async alterColumns(
--- a/nodejs/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
--- a/nodejs/npm/linux-arm64-gnu/package.json
+++ b/nodejs/npm/linux-arm64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
--- a/nodejs/npm/linux-arm64-musl/package.json
+++ b/nodejs/npm/linux-arm64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
--- a/nodejs/npm/linux-x64-gnu/package.json
+++ b/nodejs/npm/linux-x64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
--- a/nodejs/npm/linux-x64-musl/package.json
+++ b/nodejs/npm/linux-x64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
--- a/nodejs/npm/win32-arm64-msvc/package.json
+++ b/nodejs/npm/win32-arm64-msvc/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.27.2-beta.0",
+  "version": "0.27.0-beta.3",
  "os": [
    "win32"
  ],
--- a/nodejs/npm/win32-x64-msvc/package.json
+++ b/nodejs/npm/win32-x64-msvc/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.27.2-beta.0",
+	"version": "0.27.0-beta.3",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
--- a/nodejs/package-lock.json
+++ b/nodejs/package-lock.json
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.27.2-beta.0",
+  "version": "0.27.0-beta.3",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
--- a/nodejs/src/table.rs
+++ b/nodejs/src/table.rs
@@ -3,7 +3,7 @@

 use std::collections::HashMap;

-use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema};
+use lancedb::ipc::ipc_file_to_batches;
 use lancedb::table::{
    AddDataMode, ColumnAlteration as LanceColumnAlteration, Duration, NewColumnTransform,
    OptimizeAction, OptimizeOptions, Table as LanceDbTable,
@@ -279,23 +279,6 @@ impl Table {
        Ok(res.into())
    }

-    #[napi(catch_unwind)]
-    pub async fn add_columns_with_schema(
-        &self,
-        schema_buf: Buffer,
-    ) -> napi::Result<AddColumnsResult> {
-        let schema = ipc_file_to_schema(schema_buf.to_vec())
-            .map_err(|e| napi::Error::from_reason(format!("Failed to read IPC schema: {}", e)))?;
-
-        let transforms = NewColumnTransform::AllNulls(schema);
-        let res = self
-            .inner_ref()?
-            .add_columns(transforms, None)
-            .await
-            .default_error()?;
-        Ok(res.into())
-    }
-
    #[napi(catch_unwind)]
    pub async fn alter_columns(
        &self,
--- a/python/.bumpversion.toml
+++ b/python/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.30.2-beta.1"
+current_version = "0.30.0-beta.3"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/python/Cargo.toml
+++ b/python/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.30.2-beta.1"
+version = "0.30.0-beta.3"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
@@ -16,14 +16,11 @@ crate-type = ["cdylib"]
 [dependencies]
 arrow = { version = "57.2", features = ["pyarrow"] }
 async-trait = "0.1"
-bytes = "1"
 lancedb = { path = "../rust/lancedb", default-features = false }
 lance-core.workspace = true
 lance-namespace.workspace = true
-lance-namespace-impls.workspace = true
 lance-io.workspace = true
 env_logger.workspace = true
-log.workspace = true
 pyo3 = { version = "0.26", features = ["extension-module", "abi3-py39"] }
 pyo3-async-runtimes = { version = "0.26", features = [
    "attributes",
@@ -31,8 +28,6 @@ pyo3-async-runtimes = { version = "0.26", features = [
 ] }
 pin-project = "1.1.5"
 futures.workspace = true
-serde = "1"
-serde_json = "1"
 snafu.workspace = true
 tokio = { version = "1.40", features = ["sync"] }

--- a/python/README.md
+++ b/python/README.md
@@ -1,4 +1,4 @@
-# LanceDB Python SDK
+# LanceDB

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

--- a/python/pyproject.toml
+++ b/python/pyproject.toml
@@ -3,10 +3,10 @@ name = "lancedb"
 # version in Cargo.toml
 dynamic = ["version"]
 dependencies = [
-    "deprecation>=2.1.0",
-    "numpy>=1.24.0",
+    "deprecation",
+    "numpy",
    "overrides>=0.7; python_version<'3.12'",
-    "packaging>=23.0",
+    "packaging",
    "pyarrow>=16",
    "pydantic>=1.10",
    "tqdm>=4.27.0",
@@ -45,51 +45,51 @@ repository = "https://github.com/lancedb/lancedb"

 [project.optional-dependencies]
 pylance = [
-    "pylance>=4.0.0b7",
+    "pylance>=1.0.0b14",
 ]
 tests = [
-    "aiohttp>=3.9.0",
-    "boto3>=1.28.57",
+    "aiohttp",
+    "boto3",
    "pandas>=1.4",
-    "pytest>=7.0",
-    "pytest-mock>=3.10",
-    "pytest-asyncio>=0.21",
-    "duckdb>=0.9.0",
-    "pytz>=2023.3",
+    "pytest",
+    "pytest-mock",
+    "pytest-asyncio",
+    "duckdb",
+    "pytz",
    "polars>=0.19, <=1.3.0",
-    "tantivy>=0.20.0",
-    "pyarrow-stubs>=16.0",
-    "pylance>=4.0.0b7",
-    "requests>=2.31.0",
-    "datafusion>=52,<53",
+    "tantivy",
+    "pyarrow-stubs",
+    "pylance>=1.0.0b14,<3.0.0",
+    "requests",
+    "datafusion<52",
 ]
 dev = [
-    "ruff>=0.3.0",
-    "pre-commit>=3.5.0",
-    "pyright>=1.1.350",
+    "ruff",
+    "pre-commit",
+    "pyright",
    'typing-extensions>=4.0.0; python_version < "3.11"',
 ]
 docs = ["mkdocs", "mkdocs-jupyter", "mkdocs-material", "mkdocstrings-python"]
-clip = ["torch", "pillow>=12.1.1", "open-clip-torch"]
-siglip = ["torch", "pillow>=12.1.1", "transformers>=4.41.0","sentencepiece"]
+clip = ["torch", "pillow", "open-clip-torch"]
+siglip = ["torch", "pillow", "transformers>=4.41.0","sentencepiece"]
 embeddings = [
    "requests>=2.31.0",
    "openai>=1.6.1",
-    "sentence-transformers>=2.2.0",
-    "torch>=2.0.0",
-    "pillow>=12.1.1",
-    "open-clip-torch>=2.20.0",
-    "cohere>=4.0",
+    "sentence-transformers",
+    "torch",
+    "pillow",
+    "open-clip-torch",
+    "cohere",
    "colpali-engine>=0.3.10",
-    "huggingface_hub>=0.19.0",
-    "InstructorEmbedding>=1.0.1",
-    "google.generativeai>=0.3.0",
+    "huggingface_hub",
+    "InstructorEmbedding",
+    "google.generativeai",
    "boto3>=1.28.57",
-    "awscli>=1.44.38",
+    "awscli>=1.29.57",
    "botocore>=1.31.57",
    'ibm-watsonx-ai>=1.1.2; python_version >= "3.10"',
    "ollama>=0.3.0",
-    "sentencepiece>=0.1.99"
+    "sentencepiece"
 ]
 azure = ["adlfs>=2024.2.0"]

--- a/python/python/lancedb/_lancedb.pyi
+++ b/python/python/lancedb/_lancedb.pyi
@@ -135,10 +135,7 @@ class Table:
    def close(self) -> None: ...
    async def schema(self) -> pa.Schema: ...
    async def add(
-        self,
-        data: pa.RecordBatchReader,
-        mode: Literal["append", "overwrite"],
-        progress: Optional[Any] = None,
+        self, data: pa.RecordBatchReader, mode: Literal["append", "overwrite"]
    ) -> AddResult: ...
    async def update(
        self, updates: Dict[str, str], where: Optional[str]
@@ -169,8 +166,6 @@ 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: ...
--- a/python/python/lancedb/db.py
+++ b/python/python/lancedb/db.py
@@ -8,7 +8,7 @@ from abc import abstractmethod
 from datetime import timedelta
 from pathlib import Path
 import sys
-from typing import TYPE_CHECKING, Any, Dict, Iterable, List, Literal, Optional, Union
+from typing import TYPE_CHECKING, Dict, Iterable, List, Literal, Optional, Union

 if sys.version_info >= (3, 12):
    from typing import override
@@ -1541,8 +1541,6 @@ class AsyncConnection(object):
        storage_options_provider: Optional["StorageOptionsProvider"] = None,
        index_cache_size: Optional[int] = None,
        location: Optional[str] = None,
-        namespace_client: Optional[Any] = None,
-        managed_versioning: Optional[bool] = None,
    ) -> AsyncTable:
        """Open a Lance Table in the database.

@@ -1575,9 +1573,6 @@ class AsyncConnection(object):
            The explicit location (URI) of the table. If provided, the table will be
            opened from this location instead of deriving it from the database URI
            and table name.
-        managed_versioning: bool, optional
-            Whether managed versioning is enabled for this table. If provided,
-            avoids a redundant describe_table call when namespace_client is set.

        Returns
        -------
@@ -1592,8 +1587,6 @@ class AsyncConnection(object):
            storage_options_provider=storage_options_provider,
            index_cache_size=index_cache_size,
            location=location,
-            namespace_client=namespace_client,
-            managed_versioning=managed_versioning,
        )
        return AsyncTable(table)

--- a/python/python/lancedb/namespace.py
+++ b/python/python/lancedb/namespace.py
@@ -12,7 +12,7 @@ from __future__ import annotations

 import asyncio
 import sys
-from typing import Any, Dict, Iterable, List, Optional, Union
+from typing import Dict, Iterable, List, Optional, Union

 if sys.version_info >= (3, 12):
    from typing import override
@@ -240,7 +240,7 @@ class LanceNamespaceDBConnection(DBConnection):
        session : Optional[Session]
            A session to use for this connection
        """
-        self._namespace_client = namespace
+        self._ns = namespace
        self.read_consistency_interval = read_consistency_interval
        self.storage_options = storage_options or {}
        self.session = session
@@ -269,7 +269,7 @@ class LanceNamespaceDBConnection(DBConnection):
        if namespace is None:
            namespace = []
        request = ListTablesRequest(id=namespace, page_token=page_token, limit=limit)
-        response = self._namespace_client.list_tables(request)
+        response = self._ns.list_tables(request)
        return response.tables if response.tables else []

    @override
@@ -309,9 +309,7 @@ class LanceNamespaceDBConnection(DBConnection):
            # Try to describe the table first to see if it exists
            try:
                describe_request = DescribeTableRequest(id=table_id)
-                describe_response = self._namespace_client.describe_table(
-                    describe_request
-                )
+                describe_response = self._ns.describe_table(describe_request)
                location = describe_response.location
                namespace_storage_options = describe_response.storage_options
            except Exception:
@@ -325,7 +323,7 @@ class LanceNamespaceDBConnection(DBConnection):
                location=None,
                properties=self.storage_options if self.storage_options else None,
            )
-            declare_response = self._namespace_client.declare_table(declare_request)
+            declare_response = self._ns.declare_table(declare_request)

            if not declare_response.location:
                raise ValueError(
@@ -355,7 +353,7 @@ class LanceNamespaceDBConnection(DBConnection):
        # Only create if namespace returned storage_options (not None)
        if storage_options_provider is None and namespace_storage_options is not None:
            storage_options_provider = LanceNamespaceStorageOptionsProvider(
-                namespace=self._namespace_client,
+                namespace=self._ns,
                table_id=table_id,
            )

@@ -373,7 +371,6 @@ class LanceNamespaceDBConnection(DBConnection):
            storage_options=merged_storage_options,
            storage_options_provider=storage_options_provider,
            location=location,
-            namespace_client=self._namespace_client,
        )

        return tbl
@@ -392,7 +389,7 @@ class LanceNamespaceDBConnection(DBConnection):
            namespace = []
        table_id = namespace + [name]
        request = DescribeTableRequest(id=table_id)
-        response = self._namespace_client.describe_table(request)
+        response = self._ns.describe_table(request)

        # Merge storage options: self.storage_options < user options < namespace options
        merged_storage_options = dict(self.storage_options)
@@ -405,14 +402,10 @@ class LanceNamespaceDBConnection(DBConnection):
        # Only create if namespace returned storage_options (not None)
        if storage_options_provider is None and response.storage_options is not None:
            storage_options_provider = LanceNamespaceStorageOptionsProvider(
-                namespace=self._namespace_client,
+                namespace=self._ns,
                table_id=table_id,
            )

-        # Pass managed_versioning to avoid redundant describe_table call in Rust.
-        # Convert None to False since we already have the answer from describe_table.
-        managed_versioning = response.managed_versioning is True
-
        return self._lance_table_from_uri(
            name,
            response.location,
@@ -420,8 +413,6 @@ class LanceNamespaceDBConnection(DBConnection):
            storage_options=merged_storage_options,
            storage_options_provider=storage_options_provider,
            index_cache_size=index_cache_size,
-            namespace_client=self._namespace_client,
-            managed_versioning=managed_versioning,
        )

    @override
@@ -431,7 +422,7 @@ class LanceNamespaceDBConnection(DBConnection):
            namespace = []
        table_id = namespace + [name]
        request = DropTableRequest(id=table_id)
-        self._namespace_client.drop_table(request)
+        self._ns.drop_table(request)

    @override
    def rename_table(
@@ -493,7 +484,7 @@ class LanceNamespaceDBConnection(DBConnection):
        request = ListNamespacesRequest(
            id=namespace, page_token=page_token, limit=limit
        )
-        response = self._namespace_client.list_namespaces(request)
+        response = self._ns.list_namespaces(request)
        return ListNamespacesResponse(
            namespaces=response.namespaces if response.namespaces else [],
            page_token=response.page_token,
@@ -529,7 +520,7 @@ class LanceNamespaceDBConnection(DBConnection):
            mode=_normalize_create_namespace_mode(mode),
            properties=properties,
        )
-        response = self._namespace_client.create_namespace(request)
+        response = self._ns.create_namespace(request)
        return CreateNamespaceResponse(
            properties=response.properties if hasattr(response, "properties") else None
        )
@@ -564,7 +555,7 @@ class LanceNamespaceDBConnection(DBConnection):
            mode=_normalize_drop_namespace_mode(mode),
            behavior=_normalize_drop_namespace_behavior(behavior),
        )
-        response = self._namespace_client.drop_namespace(request)
+        response = self._ns.drop_namespace(request)
        return DropNamespaceResponse(
            properties=(
                response.properties if hasattr(response, "properties") else None
@@ -590,7 +581,7 @@ class LanceNamespaceDBConnection(DBConnection):
            Response containing the namespace properties.
        """
        request = DescribeNamespaceRequest(id=namespace)
-        response = self._namespace_client.describe_namespace(request)
+        response = self._ns.describe_namespace(request)
        return DescribeNamespaceResponse(
            properties=response.properties if hasattr(response, "properties") else None
        )
@@ -624,7 +615,7 @@ class LanceNamespaceDBConnection(DBConnection):
        if namespace is None:
            namespace = []
        request = ListTablesRequest(id=namespace, page_token=page_token, limit=limit)
-        response = self._namespace_client.list_tables(request)
+        response = self._ns.list_tables(request)
        return ListTablesResponse(
            tables=response.tables if response.tables else [],
            page_token=response.page_token,
@@ -639,8 +630,6 @@ class LanceNamespaceDBConnection(DBConnection):
        storage_options: Optional[Dict[str, str]] = None,
        storage_options_provider: Optional[StorageOptionsProvider] = None,
        index_cache_size: Optional[int] = None,
-        namespace_client: Optional[Any] = None,
-        managed_versioning: Optional[bool] = None,
    ) -> LanceTable:
        # Open a table directly from a URI using the location parameter
        # Note: storage_options should already be merged by the caller
@@ -654,8 +643,6 @@ class LanceNamespaceDBConnection(DBConnection):
        )

        # Open the table using the temporary connection with the location parameter
-        # Pass namespace_client to enable managed versioning support
-        # Pass managed_versioning to avoid redundant describe_table call
        return LanceTable.open(
            temp_conn,
            name,
@@ -664,8 +651,6 @@ class LanceNamespaceDBConnection(DBConnection):
            storage_options_provider=storage_options_provider,
            index_cache_size=index_cache_size,
            location=table_uri,
-            namespace_client=namespace_client,
-            managed_versioning=managed_versioning,
        )


@@ -700,7 +685,7 @@ class AsyncLanceNamespaceDBConnection:
        session : Optional[Session]
            A session to use for this connection
        """
-        self._namespace_client = namespace
+        self._ns = namespace
        self.read_consistency_interval = read_consistency_interval
        self.storage_options = storage_options or {}
        self.session = session
@@ -728,7 +713,7 @@ class AsyncLanceNamespaceDBConnection:
        if namespace is None:
            namespace = []
        request = ListTablesRequest(id=namespace, page_token=page_token, limit=limit)
-        response = self._namespace_client.list_tables(request)
+        response = self._ns.list_tables(request)
        return response.tables if response.tables else []

    async def create_table(
@@ -765,9 +750,7 @@ class AsyncLanceNamespaceDBConnection:
            # Try to describe the table first to see if it exists
            try:
                describe_request = DescribeTableRequest(id=table_id)
-                describe_response = self._namespace_client.describe_table(
-                    describe_request
-                )
+                describe_response = self._ns.describe_table(describe_request)
                location = describe_response.location
                namespace_storage_options = describe_response.storage_options
            except Exception:
@@ -781,7 +764,7 @@ class AsyncLanceNamespaceDBConnection:
                location=None,
                properties=self.storage_options if self.storage_options else None,
            )
-            declare_response = self._namespace_client.declare_table(declare_request)
+            declare_response = self._ns.declare_table(declare_request)

            if not declare_response.location:
                raise ValueError(
@@ -814,7 +797,7 @@ class AsyncLanceNamespaceDBConnection:
                and namespace_storage_options is not None
            ):
                provider = LanceNamespaceStorageOptionsProvider(
-                    namespace=self._namespace_client,
+                    namespace=self._ns,
                    table_id=table_id,
                )
            else:
@@ -834,7 +817,6 @@ class AsyncLanceNamespaceDBConnection:
                storage_options=merged_storage_options,
                storage_options_provider=provider,
                location=location,
-                namespace_client=self._namespace_client,
            )

        lance_table = await asyncio.to_thread(_create_table)
@@ -855,7 +837,7 @@ class AsyncLanceNamespaceDBConnection:
            namespace = []
        table_id = namespace + [name]
        request = DescribeTableRequest(id=table_id)
-        response = self._namespace_client.describe_table(request)
+        response = self._ns.describe_table(request)

        # Merge storage options: self.storage_options < user options < namespace options
        merged_storage_options = dict(self.storage_options)
@@ -867,14 +849,10 @@ class AsyncLanceNamespaceDBConnection:
        # Create a storage options provider if not provided by user
        if storage_options_provider is None and response.storage_options is not None:
            storage_options_provider = LanceNamespaceStorageOptionsProvider(
-                namespace=self._namespace_client,
+                namespace=self._ns,
                table_id=table_id,
            )

-        # Capture managed_versioning from describe response.
-        # Convert None to False since we already have the answer from describe_table.
-        managed_versioning = response.managed_versioning is True
-
        # Open table in a thread
        def _open_table():
            temp_conn = LanceDBConnection(
@@ -892,8 +870,6 @@ class AsyncLanceNamespaceDBConnection:
                storage_options_provider=storage_options_provider,
                index_cache_size=index_cache_size,
                location=response.location,
-                namespace_client=self._namespace_client,
-                managed_versioning=managed_versioning,
            )

        lance_table = await asyncio.to_thread(_open_table)
@@ -905,7 +881,7 @@ class AsyncLanceNamespaceDBConnection:
            namespace = []
        table_id = namespace + [name]
        request = DropTableRequest(id=table_id)
-        self._namespace_client.drop_table(request)
+        self._ns.drop_table(request)

    async def rename_table(
        self,
@@ -967,7 +943,7 @@ class AsyncLanceNamespaceDBConnection:
        request = ListNamespacesRequest(
            id=namespace, page_token=page_token, limit=limit
        )
-        response = self._namespace_client.list_namespaces(request)
+        response = self._ns.list_namespaces(request)
        return ListNamespacesResponse(
            namespaces=response.namespaces if response.namespaces else [],
            page_token=response.page_token,
@@ -1002,7 +978,7 @@ class AsyncLanceNamespaceDBConnection:
            mode=_normalize_create_namespace_mode(mode),
            properties=properties,
        )
-        response = self._namespace_client.create_namespace(request)
+        response = self._ns.create_namespace(request)
        return CreateNamespaceResponse(
            properties=response.properties if hasattr(response, "properties") else None
        )
@@ -1036,7 +1012,7 @@ class AsyncLanceNamespaceDBConnection:
            mode=_normalize_drop_namespace_mode(mode),
            behavior=_normalize_drop_namespace_behavior(behavior),
        )
-        response = self._namespace_client.drop_namespace(request)
+        response = self._ns.drop_namespace(request)
        return DropNamespaceResponse(
            properties=(
                response.properties if hasattr(response, "properties") else None
@@ -1063,7 +1039,7 @@ class AsyncLanceNamespaceDBConnection:
            Response containing the namespace properties.
        """
        request = DescribeNamespaceRequest(id=namespace)
-        response = self._namespace_client.describe_namespace(request)
+        response = self._ns.describe_namespace(request)
        return DescribeNamespaceResponse(
            properties=response.properties if hasattr(response, "properties") else None
        )
@@ -1096,7 +1072,7 @@ class AsyncLanceNamespaceDBConnection:
        if namespace is None:
            namespace = []
        request = ListTablesRequest(id=namespace, page_token=page_token, limit=limit)
-        response = self._namespace_client.list_tables(request)
+        response = self._ns.list_tables(request)
        return ListTablesResponse(
            tables=response.tables if response.tables else [],
            page_token=response.page_token,
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -2205,8 +2205,8 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
            self._vector_query.select(self._columns)
            self._fts_query.select(self._columns)
        if self._where:
-            self._vector_query.where(self._where, not self._postfilter)
-            self._fts_query.where(self._where, not self._postfilter)
+            self._vector_query.where(self._where, self._postfilter)
+            self._fts_query.where(self._where, self._postfilter)
        if self._with_row_id:
            self._vector_query.with_row_id(True)
            self._fts_query.with_row_id(True)
--- a/python/python/lancedb/remote/table.py
+++ b/python/python/lancedb/remote/table.py
@@ -4,7 +4,7 @@
 from datetime import timedelta
 import logging
 from functools import cached_property
-from typing import Any, Callable, Dict, Iterable, List, Optional, Union, Literal
+from typing import Dict, Iterable, List, Optional, Union, Literal
 import warnings

 from lancedb._lancedb import (
@@ -35,7 +35,6 @@ import pyarrow as pa
 from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
 from lancedb.merge import LanceMergeInsertBuilder
 from lancedb.embeddings import EmbeddingFunctionRegistry
-from lancedb.table import _normalize_progress

 from ..query import LanceVectorQueryBuilder, LanceQueryBuilder, LanceTakeQueryBuilder
 from ..table import AsyncTable, IndexStatistics, Query, Table, Tags
@@ -309,7 +308,6 @@ class RemoteTable(Table):
        mode: str = "append",
        on_bad_vectors: str = "error",
        fill_value: float = 0.0,
-        progress: Optional[Union[bool, Callable, Any]] = None,
    ) -> AddResult:
        """Add more data to the [Table](Table). It has the same API signature as
        the OSS version.
@@ -332,29 +330,17 @@ class RemoteTable(Table):
            One of "error", "drop", "fill".
        fill_value: float, default 0.
            The value to use when filling vectors. Only used if on_bad_vectors="fill".
-        progress: bool, callable, or tqdm-like, optional
-            A callback or tqdm-compatible progress bar. See
-            :meth:`Table.add` for details.

        Returns
        -------
        AddResult
            An object containing the new version number of the table after adding data.
        """
-        progress, owns = _normalize_progress(progress)
-        try:
-            return LOOP.run(
-                self._table.add(
-                    data,
-                    mode=mode,
-                    on_bad_vectors=on_bad_vectors,
-                    fill_value=fill_value,
-                    progress=progress,
-                )
+        return LOOP.run(
+            self._table.add(
+                data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
            )
-        finally:
-            if owns:
-                progress.close()
+        )

    def search(
        self,
@@ -654,45 +640,6 @@ 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)
    ):
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -14,7 +14,6 @@ from functools import cached_property
 from typing import (
    TYPE_CHECKING,
    Any,
-    Callable,
    Dict,
    Iterable,
    List,
@@ -557,21 +556,6 @@ def _table_uri(base: str, table_name: str) -> str:
    return join_uri(base, f"{table_name}.lance")


-def _normalize_progress(progress):
-    """Normalize a ``progress`` parameter for :meth:`Table.add`.
-
-    Returns ``(progress_obj, owns)`` where *owns* is True when we created a
-    tqdm bar that the caller must close.
-    """
-    if progress is True:
-        from tqdm.auto import tqdm
-
-        return tqdm(unit=" rows"), True
-    if progress is False or progress is None:
-        return None, False
-    return progress, False
-
-
 class Table(ABC):
    """
    A Table is a collection of Records in a LanceDB Database.
@@ -990,7 +974,6 @@ class Table(ABC):
        mode: AddMode = "append",
        on_bad_vectors: OnBadVectorsType = "error",
        fill_value: float = 0.0,
-        progress: Optional[Union[bool, Callable, Any]] = None,
    ) -> AddResult:
        """Add more data to the [Table](Table).

@@ -1012,29 +995,6 @@ class Table(ABC):
            One of "error", "drop", "fill".
        fill_value: float, default 0.
            The value to use when filling vectors. Only used if on_bad_vectors="fill".
-        progress: bool, callable, or tqdm-like, optional
-            Progress reporting during the add operation. Can be:
-
-            - ``True`` to automatically create and display a tqdm progress
-              bar (requires ``tqdm`` to be installed)::
-
-                table.add(data, progress=True)
-
-            - A **callable** that receives a dict with keys ``output_rows``,
-              ``output_bytes``, ``total_rows``, ``elapsed_seconds``,
-              ``active_tasks``, ``total_tasks``, and ``done``::
-
-                def on_progress(p):
-                    print(f"{p['output_rows']}/{p['total_rows']} rows, "
-                          f"{p['active_tasks']}/{p['total_tasks']} workers")
-                table.add(data, progress=on_progress)
-
-            - A **tqdm-compatible** progress bar whose ``total`` and
-              ``update()`` will be called automatically. The postfix shows
-              write throughput (MB/s) and active worker count::
-
-                with tqdm() as pbar:
-                    table.add(data, progress=pbar)

        Returns
        -------
@@ -1546,17 +1506,22 @@ class Table(ABC):
            in-progress operation (e.g. appending new data) and these files will not
            be deleted unless they are at least 7 days old. If delete_unverified is True
            then these files will be deleted regardless of their age.
-
-            .. warning::
-
-                This should only be set to True if you can guarantee that no other
-                process is currently working on this dataset. Otherwise the dataset
-                could be put into a corrupted state.
-
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        The frequency an application should call optimize is based on the frequency of
+        Experimental API
+        ----------------
+
+        The optimization process is undergoing active development and may change.
+        Our goal with these changes is to improve the performance of optimization and
+        reduce the complexity.
+
+        That being said, it is essential today to run optimize if you want the best
+        performance.  It should be stable and safe to use in production, but it our
+        hope that the API may be simplified (or not even need to be called) in the
+        future.
+
+        The frequency an application shoudl call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
        you have added or modified 100,000 or more records or run more than 20 data
@@ -1781,8 +1746,6 @@ class LanceTable(Table):
        storage_options_provider: Optional["StorageOptionsProvider"] = None,
        index_cache_size: Optional[int] = None,
        location: Optional[str] = None,
-        namespace_client: Optional[Any] = None,
-        managed_versioning: Optional[bool] = None,
        _async: AsyncTable = None,
    ):
        if namespace is None:
@@ -1790,7 +1753,6 @@ class LanceTable(Table):
        self._conn = connection
        self._namespace = namespace
        self._location = location  # Store location for use in _dataset_path
-        self._namespace_client = namespace_client
        if _async is not None:
            self._table = _async
        else:
@@ -1802,8 +1764,6 @@ class LanceTable(Table):
                    storage_options_provider=storage_options_provider,
                    index_cache_size=index_cache_size,
                    location=location,
-                    namespace_client=namespace_client,
-                    managed_versioning=managed_versioning,
                )
            )

@@ -1846,8 +1806,6 @@ class LanceTable(Table):
        storage_options_provider: Optional["StorageOptionsProvider"] = None,
        index_cache_size: Optional[int] = None,
        location: Optional[str] = None,
-        namespace_client: Optional[Any] = None,
-        managed_versioning: Optional[bool] = None,
    ):
        if namespace is None:
            namespace = []
@@ -1859,8 +1817,6 @@ class LanceTable(Table):
            storage_options_provider=storage_options_provider,
            index_cache_size=index_cache_size,
            location=location,
-            namespace_client=namespace_client,
-            managed_versioning=managed_versioning,
        )

        # check the dataset exists
@@ -1892,16 +1848,6 @@ class LanceTable(Table):
                "Please install with `pip install pylance`."
            )

-        if self._namespace_client is not None:
-            table_id = self._namespace + [self.name]
-            return lance.dataset(
-                version=self.version,
-                storage_options=self._conn.storage_options,
-                namespace=self._namespace_client,
-                table_id=table_id,
-                **kwargs,
-            )
-
        return lance.dataset(
            self._dataset_path,
            version=self.version,
@@ -2254,18 +2200,12 @@ class LanceTable(Table):

    def prewarm_index(self, name: str) -> None:
        """
-        Prewarm an index in the table.
+        Prewarms 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 loads the entire index into memory

-        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.
+        If the index does not fit into the available cache this call
+        may be wasteful

        Parameters
        ----------
@@ -2274,29 +2214,6 @@ 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:
@@ -2532,7 +2449,6 @@ class LanceTable(Table):
        mode: AddMode = "append",
        on_bad_vectors: OnBadVectorsType = "error",
        fill_value: float = 0.0,
-        progress: Optional[Union[bool, Callable, Any]] = None,
    ) -> AddResult:
        """Add data to the table.
        If vector columns are missing and the table
@@ -2551,29 +2467,17 @@ class LanceTable(Table):
            One of "error", "drop", "fill", "null".
        fill_value: float, default 0.
            The value to use when filling vectors. Only used if on_bad_vectors="fill".
-        progress: bool, callable, or tqdm-like, optional
-            A callback or tqdm-compatible progress bar. See
-            :meth:`Table.add` for details.

        Returns
        -------
        int
            The number of vectors in the table.
        """
-        progress, owns = _normalize_progress(progress)
-        try:
-            return LOOP.run(
-                self._table.add(
-                    data,
-                    mode=mode,
-                    on_bad_vectors=on_bad_vectors,
-                    fill_value=fill_value,
-                    progress=progress,
-                )
+        return LOOP.run(
+            self._table.add(
+                data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
            )
-        finally:
-            if owns:
-                progress.close()
+        )

    def merge(
        self,
@@ -2809,7 +2713,6 @@ class LanceTable(Table):
        data_storage_version: Optional[str] = None,
        enable_v2_manifest_paths: Optional[bool] = None,
        location: Optional[str] = None,
-        namespace_client: Optional[Any] = None,
    ):
        """
        Create a new table.
@@ -2870,7 +2773,6 @@ class LanceTable(Table):
        self._conn = db
        self._namespace = namespace
        self._location = location
-        self._namespace_client = namespace_client

        if data_storage_version is not None:
            warnings.warn(
@@ -3095,17 +2997,22 @@ class LanceTable(Table):
            in-progress operation (e.g. appending new data) and these files will not
            be deleted unless they are at least 7 days old. If delete_unverified is True
            then these files will be deleted regardless of their age.
-
-            .. warning::
-
-                This should only be set to True if you can guarantee that no other
-                process is currently working on this dataset. Otherwise the dataset
-                could be put into a corrupted state.
-
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        The frequency an application should call optimize is based on the frequency of
+        Experimental API
+        ----------------
+
+        The optimization process is undergoing active development and may change.
+        Our goal with these changes is to improve the performance of optimization and
+        reduce the complexity.
+
+        That being said, it is essential today to run optimize if you want the best
+        performance.  It should be stable and safe to use in production, but it our
+        hope that the API may be simplified (or not even need to be called) in the
+        future.
+
+        The frequency an application shoudl call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
        you have added or modified 100,000 or more records or run more than 20 data
@@ -3706,47 +3613,19 @@ 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:
@@ -3822,7 +3701,6 @@ class AsyncTable:
        mode: Optional[Literal["append", "overwrite"]] = "append",
        on_bad_vectors: Optional[OnBadVectorsType] = None,
        fill_value: Optional[float] = None,
-        progress: Optional[Union[bool, Callable, Any]] = None,
    ) -> AddResult:
        """Add more data to the [Table](Table).

@@ -3844,9 +3722,6 @@ class AsyncTable:
            One of "error", "drop", "fill", "null".
        fill_value: float, default 0.
            The value to use when filling vectors. Only used if on_bad_vectors="fill".
-        progress: callable or tqdm-like, optional
-            A callback or tqdm-compatible progress bar. See
-            :meth:`Table.add` for details.

        """
        schema = await self.schema()
@@ -3870,9 +3745,8 @@ class AsyncTable:
            )
        _register_optional_converters()
        data = to_scannable(data)
-        progress, owns = _normalize_progress(progress)
        try:
-            return await self._inner.add(data, mode or "append", progress=progress)
+            return await self._inner.add(data, mode or "append")
        except RuntimeError as e:
            if "Cast error" in str(e):
                raise ValueError(e)
@@ -3880,9 +3754,6 @@ class AsyncTable:
                raise ValueError(e)
            else:
                raise
-        finally:
-            if owns:
-                progress.close()

    def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
        """
@@ -4681,17 +4552,22 @@ class AsyncTable:
            in-progress operation (e.g. appending new data) and these files will not
            be deleted unless they are at least 7 days old. If delete_unverified is True
            then these files will be deleted regardless of their age.
-
-            .. warning::
-
-                This should only be set to True if you can guarantee that no other
-                process is currently working on this dataset. Otherwise the dataset
-                could be put into a corrupted state.
-
        retrain: bool, default False
            This parameter is no longer used and is deprecated.

-        The frequency an application should call optimize is based on the frequency of
+        Experimental API
+        ----------------
+
+        The optimization process is undergoing active development and may change.
+        Our goal with these changes is to improve the performance of optimization and
+        reduce the complexity.
+
+        That being said, it is essential today to run optimize if you want the best
+        performance.  It should be stable and safe to use in production, but it our
+        hope that the API may be simplified (or not even need to be called) in the
+        future.
+
+        The frequency an application shoudl call optimize is based on the frequency of
        data modifications.  If data is frequently added, deleted, or updated then
        optimize should be run frequently.  A good rule of thumb is to run optimize if
        you have added or modified 100,000 or more records or run more than 20 data
@@ -4812,16 +4688,7 @@ class IndexStatistics:
    num_indexed_rows: int
    num_unindexed_rows: int
    index_type: Literal[
-        "IVF_FLAT",
-        "IVF_SQ",
-        "IVF_PQ",
-        "IVF_RQ",
-        "IVF_HNSW_SQ",
-        "IVF_HNSW_PQ",
-        "FTS",
-        "BTREE",
-        "BITMAP",
-        "LABEL_LIST",
+        "IVF_PQ", "IVF_HNSW_PQ", "IVF_HNSW_SQ", "FTS", "BTREE", "BITMAP", "LABEL_LIST"
    ]
    distance_type: Optional[Literal["l2", "cosine", "dot"]] = None
    num_indices: Optional[int] = None
--- a/python/python/tests/test_hybrid_query.py
+++ b/python/python/tests/test_hybrid_query.py
@@ -177,60 +177,6 @@ async def test_analyze_plan(table: AsyncTable):
    assert "metrics=" in res


-@pytest.fixture
-def table_with_id(tmpdir_factory) -> Table:
-    tmp_path = str(tmpdir_factory.mktemp("data"))
-    db = lancedb.connect(tmp_path)
-    data = pa.table(
-        {
-            "id": pa.array([1, 2, 3, 4], type=pa.int64()),
-            "text": pa.array(["a", "b", "cat", "dog"]),
-            "vector": pa.array(
-                [[0.1, 0.1], [2, 2], [-0.1, -0.1], [0.5, -0.5]],
-                type=pa.list_(pa.float32(), list_size=2),
-            ),
-        }
-    )
-    table = db.create_table("test_with_id", data)
-    table.create_fts_index("text", with_position=False, use_tantivy=False)
-    return table
-
-
-def test_hybrid_prefilter_explain_plan(table_with_id: Table):
-    """
-    Verify that the prefilter logic is not inverted in LanceHybridQueryBuilder.
-    """
-    plan_prefilter = (
-        table_with_id.search(query_type="hybrid")
-        .vector([0.0, 0.0])
-        .text("dog")
-        .where("id = 1", prefilter=True)
-        .limit(2)
-        .explain_plan(verbose=True)
-    )
-
-    plan_postfilter = (
-        table_with_id.search(query_type="hybrid")
-        .vector([0.0, 0.0])
-        .text("dog")
-        .where("id = 1", prefilter=False)
-        .limit(2)
-        .explain_plan(verbose=True)
-    )
-
-    # prefilter=True: filter is pushed into the LanceRead scan.
-    # The FTS sub-plan exposes this as "full_filter=id = Int64(1)" inside LanceRead.
-    assert "full_filter=id = Int64(1)" in plan_prefilter, (
-        f"Should push the filter into the scan.\nPlan:\n{plan_prefilter}"
-    )
-
-    # prefilter=False: filter is applied as a separate FilterExec after the search.
-    # The filter must NOT be embedded in the scan.
-    assert "full_filter=id = Int64(1)" not in plan_postfilter, (
-        f"Should NOT push the filter into the scan.\nPlan:\n{plan_postfilter}"
-    )
-
-
 def test_normalize_scores():
    cases = [
        (pa.array([0.1, 0.4]), pa.array([0.0, 1.0])),
--- a/python/python/tests/test_index.py
+++ b/python/python/tests/test_index.py
@@ -3,7 +3,6 @@

 from datetime import timedelta
 import random
-from typing import get_args, get_type_hints

 import pyarrow as pa
 import pytest
@@ -23,7 +22,6 @@ from lancedb.index import (
    HnswSq,
    FTS,
 )
-from lancedb.table import IndexStatistics


@pytest_asyncio.fixture
@@ -285,23 +283,3 @@ async def test_create_index_with_binary_vectors(binary_table: AsyncTable):
    for v in range(256):
        res = await binary_table.query().nearest_to([v] * 128).to_arrow()
        assert res["id"][0].as_py() == v
-
-
-def test_index_statistics_index_type_lists_all_supported_values():
-    expected_index_types = {
-        "IVF_FLAT",
-        "IVF_SQ",
-        "IVF_PQ",
-        "IVF_RQ",
-        "IVF_HNSW_SQ",
-        "IVF_HNSW_PQ",
-        "FTS",
-        "BTREE",
-        "BITMAP",
-        "LABEL_LIST",
-    }
-
-    assert (
-        set(get_args(get_type_hints(IndexStatistics)["index_type"]))
-        == expected_index_types
-    )
--- a/python/python/tests/test_namespace_integration.py
+++ b/python/python/tests/test_namespace_integration.py
@@ -147,12 +147,7 @@ class TrackingNamespace(LanceNamespace):
        This simulates a credential rotation system where each call returns
        new credentials that expire after credential_expires_in_seconds.
        """
-        # Start from base storage options (endpoint, region, allow_http, etc.)
-        # because DirectoryNamespace returns None for storage_options from
-        # describe_table/declare_table when no credential vendor is configured.
-        modified = copy.deepcopy(self.base_storage_options)
-        if storage_options:
-            modified.update(storage_options)
+        modified = copy.deepcopy(storage_options) if storage_options else {}

        # Increment credentials to simulate rotation
        modified["aws_access_key_id"] = f"AKID_{count}"
--- a/python/python/tests/test_table.py
+++ b/python/python/tests/test_table.py
@@ -326,24 +326,6 @@ def test_add_struct(mem_db: DBConnection):
    table = mem_db.create_table("test2", schema=schema)
    table.add(data)

-    struct_type = pa.struct(
-        [
-            ("b", pa.int64()),
-            ("a", pa.int64()),
-        ]
-    )
-    expected = pa.table(
-        {
-            "s_list": [
-                [
-                    pa.scalar({"b": 1, "a": 2}, type=struct_type),
-                    pa.scalar({"b": 4, "a": None}, type=struct_type),
-                ]
-            ],
-        }
-    )
-    assert table.to_arrow() == expected
-

 def test_add_subschema(mem_db: DBConnection):
    schema = pa.schema(
@@ -527,102 +509,6 @@ async def test_add_async(mem_db_async: AsyncConnection):
    assert await table.count_rows() == 3


-def test_add_progress_callback(mem_db: DBConnection):
-    table = mem_db.create_table(
-        "test",
-        data=[{"id": 1}, {"id": 2}],
-    )
-
-    updates = []
-    table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
-
-    assert len(table) == 4
-    # The done callback always fires, so we should always get at least one.
-    assert len(updates) >= 1, "expected at least one progress callback"
-    for p in updates:
-        assert "output_rows" in p
-        assert "output_bytes" in p
-        assert "total_rows" in p
-        assert "elapsed_seconds" in p
-        assert "active_tasks" in p
-        assert "total_tasks" in p
-        assert "done" in p
-    # The last callback should have done=True.
-    assert updates[-1]["done"] is True
-
-
-def test_add_progress_tqdm_like(mem_db: DBConnection):
-    """Test that a tqdm-like object gets total set and update() called."""
-
-    class FakeBar:
-        def __init__(self):
-            self.total = None
-            self.n = 0
-            self.postfix = None
-
-        def update(self, n):
-            self.n += n
-
-        def set_postfix_str(self, s):
-            self.postfix = s
-
-        def refresh(self):
-            pass
-
-    table = mem_db.create_table(
-        "test",
-        data=[{"id": 1}, {"id": 2}],
-    )
-
-    bar = FakeBar()
-    table.add([{"id": 3}, {"id": 4}], progress=bar)
-
-    assert len(table) == 4
-    # Postfix should contain throughput and worker count
-    if bar.postfix is not None:
-        assert "MB/s" in bar.postfix
-        assert "workers" in bar.postfix
-
-
-def test_add_progress_bool(mem_db: DBConnection):
-    """Test that progress=True creates and closes a tqdm bar automatically."""
-    table = mem_db.create_table(
-        "test",
-        data=[{"id": 1}, {"id": 2}],
-    )
-
-    table.add([{"id": 3}, {"id": 4}], progress=True)
-    assert len(table) == 4
-
-    # progress=False should be the same as None
-    table.add([{"id": 5}], progress=False)
-    assert len(table) == 5
-
-
-@pytest.mark.asyncio
-async def test_add_progress_callback_async(mem_db_async: AsyncConnection):
-    """Progress callbacks work through the async path too."""
-    table = await mem_db_async.create_table("test", data=[{"id": 1}, {"id": 2}])
-
-    updates = []
-    await table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
-
-    assert await table.count_rows() == 4
-    assert len(updates) >= 1
-    assert updates[-1]["done"] is True
-
-
-def test_add_progress_callback_error(mem_db: DBConnection):
-    """A failing callback must not prevent the write from succeeding."""
-    table = mem_db.create_table("test", data=[{"id": 1}, {"id": 2}])
-
-    def bad_callback(p):
-        raise RuntimeError("boom")
-
-    table.add([{"id": 3}, {"id": 4}], progress=bad_callback)
-    assert len(table) == 4
-
-
 def test_polars(mem_db: DBConnection):
    data = {
        "vector": [[3.1, 4.1], [5.9, 26.5]],
--- a/python/src/connection.rs
+++ b/python/src/connection.rs
@@ -17,8 +17,7 @@ use pyo3::{
 use pyo3_async_runtimes::tokio::future_into_py;

 use crate::{
-    error::PythonErrorExt, namespace::extract_namespace_arc,
-    storage_options::py_object_to_storage_options_provider, table::Table,
+    error::PythonErrorExt, storage_options::py_object_to_storage_options_provider, table::Table,
 };

 #[pyclass]
@@ -183,8 +182,7 @@ impl Connection {
        })
    }

-    #[allow(clippy::too_many_arguments)]
-    #[pyo3(signature = (name, namespace=vec![], storage_options = None, storage_options_provider=None, index_cache_size = None, location=None, namespace_client=None, managed_versioning=None))]
+    #[pyo3(signature = (name, namespace=vec![], storage_options = None, storage_options_provider=None, index_cache_size = None, location=None))]
    pub fn open_table(
        self_: PyRef<'_, Self>,
        name: String,
@@ -193,13 +191,11 @@ impl Connection {
        storage_options_provider: Option<Py<PyAny>>,
        index_cache_size: Option<u32>,
        location: Option<String>,
-        namespace_client: Option<Py<PyAny>>,
-        managed_versioning: Option<bool>,
    ) -> PyResult<Bound<'_, PyAny>> {
        let inner = self_.get_inner()?.clone();

        let mut builder = inner.open_table(name);
-        builder = builder.namespace(namespace.clone());
+        builder = builder.namespace(namespace);
        if let Some(storage_options) = storage_options {
            builder = builder.storage_options(storage_options);
        }
@@ -213,20 +209,6 @@ impl Connection {
        if let Some(location) = location {
            builder = builder.location(location);
        }
-        // Extract namespace client from Python object if provided
-        let ns_client = if let Some(ns_obj) = namespace_client {
-            let py = self_.py();
-            Some(extract_namespace_arc(py, ns_obj)?)
-        } else {
-            None
-        };
-        if let Some(ns_client) = ns_client {
-            builder = builder.namespace_client(ns_client);
-        }
-        // Pass managed_versioning if provided to avoid redundant describe_table call
-        if let Some(enabled) = managed_versioning {
-            builder = builder.managed_versioning(enabled);
-        }

        future_into_py(self_.py(), async move {
            let table = builder.execute().await.infer_error()?;
--- a/python/src/lib.rs
+++ b/python/src/lib.rs
@@ -23,7 +23,6 @@ pub mod connection;
 pub mod error;
 pub mod header;
 pub mod index;
-pub mod namespace;
 pub mod permutation;
 pub mod query;
 pub mod session;
--- a/python/src/namespace.rs
+++ b/python/src/namespace.rs
@@ -1,696 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Namespace utilities for Python bindings
-
-use std::collections::HashMap;
-use std::sync::Arc;
-
-use async_trait::async_trait;
-use bytes::Bytes;
-use lance_namespace::LanceNamespace as LanceNamespaceTrait;
-use lance_namespace::models::*;
-use pyo3::prelude::*;
-use pyo3::types::PyDict;
-
-/// Wrapper that allows any Python object implementing LanceNamespace protocol
-/// to be used as a Rust LanceNamespace.
-///
-/// This is similar to PyLanceNamespace in lance's Python bindings - it wraps a Python
-/// object and calls back into Python when namespace methods are invoked.
-pub struct PyLanceNamespace {
-    py_namespace: Arc<Py<PyAny>>,
-    namespace_id: String,
-}
-
-impl PyLanceNamespace {
-    /// Create a new PyLanceNamespace wrapper around a Python namespace object.
-    pub fn new(_py: Python<'_>, py_namespace: &Bound<'_, PyAny>) -> PyResult<Self> {
-        let namespace_id = py_namespace
-            .call_method0("namespace_id")?
-            .extract::<String>()?;
-
-        Ok(Self {
-            py_namespace: Arc::new(py_namespace.clone().unbind()),
-            namespace_id,
-        })
-    }
-
-    /// Create an Arc<dyn LanceNamespace> from a Python namespace object.
-    pub fn create_arc(
-        py: Python<'_>,
-        py_namespace: &Bound<'_, PyAny>,
-    ) -> PyResult<Arc<dyn LanceNamespaceTrait>> {
-        let wrapper = Self::new(py, py_namespace)?;
-        Ok(Arc::new(wrapper))
-    }
-}
-
-impl std::fmt::Debug for PyLanceNamespace {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        write!(f, "PyLanceNamespace {{ id: {} }}", self.namespace_id)
-    }
-}
-
-/// Get or create the DictWithModelDump class in Python.
-/// This class acts like a dict but also has model_dump() method.
-/// This allows it to work with both:
-/// - depythonize (which expects a dict/Mapping)
-/// - Python code that calls .model_dump() (like DirectoryNamespace wrapper)
-fn get_dict_with_model_dump_class(py: Python<'_>) -> PyResult<Bound<'_, PyAny>> {
-    // Use a module-level cache via __builtins__
-    let builtins = py.import("builtins")?;
-    if builtins.hasattr("_DictWithModelDump")? {
-        return builtins.getattr("_DictWithModelDump");
-    }
-
-    // Create the class using exec
-    let locals = PyDict::new(py);
-    py.run(
-        c"class DictWithModelDump(dict):
-    def model_dump(self):
-        return dict(self)",
-        None,
-        Some(&locals),
-    )?;
-    let class = locals.get_item("DictWithModelDump")?.ok_or_else(|| {
-        pyo3::exceptions::PyRuntimeError::new_err("Failed to create DictWithModelDump class")
-    })?;
-
-    // Cache it
-    builtins.setattr("_DictWithModelDump", &class)?;
-    Ok(class)
-}
-
-/// Helper to call a Python namespace method with JSON serialization.
-/// For methods that take a request and return a response.
-/// Uses DictWithModelDump to pass a dict that also has model_dump() method,
-/// making it compatible with both depythonize and Python wrappers.
-async fn call_py_method<Req, Resp>(
-    py_namespace: Arc<Py<PyAny>>,
-    method_name: &'static str,
-    request: Req,
-) -> lance_core::Result<Resp>
-where
-    Req: serde::Serialize + Send + 'static,
-    Resp: serde::de::DeserializeOwned + Send + 'static,
-{
-    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to serialize request for {}: {}",
-            method_name, e
-        ))
-    })?;
-
-    let response_json = tokio::task::spawn_blocking(move || {
-        Python::attach(|py| {
-            let json_module = py.import("json")?;
-            let request_dict = json_module.call_method1("loads", (&request_json,))?;
-
-            // Wrap dict in DictWithModelDump so it works with both depythonize and .model_dump()
-            let dict_class = get_dict_with_model_dump_class(py)?;
-            let request_arg = dict_class.call1((request_dict,))?;
-
-            // Call the Python method
-            let result = py_namespace.call_method1(py, method_name, (request_arg,))?;
-
-            // Convert response to dict, then to JSON
-            // Pydantic models have model_dump() method
-            let result_dict = if result.bind(py).hasattr("model_dump")? {
-                result.call_method0(py, "model_dump")?
-            } else {
-                result
-            };
-            let response_json: String = json_module
-                .call_method1("dumps", (result_dict,))?
-                .extract()?;
-            Ok::<_, PyErr>(response_json)
-        })
-    })
-    .await
-    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))?;
-
-    serde_json::from_str(&response_json).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to deserialize response from {}: {}",
-            method_name, e
-        ))
-    })
-}
-
-/// Helper for methods that return () on success
-async fn call_py_method_unit<Req>(
-    py_namespace: Arc<Py<PyAny>>,
-    method_name: &'static str,
-    request: Req,
-) -> lance_core::Result<()>
-where
-    Req: serde::Serialize + Send + 'static,
-{
-    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to serialize request for {}: {}",
-            method_name, e
-        ))
-    })?;
-
-    tokio::task::spawn_blocking(move || {
-        Python::attach(|py| {
-            let json_module = py.import("json")?;
-            let request_dict = json_module.call_method1("loads", (&request_json,))?;
-
-            // Wrap dict in DictWithModelDump
-            let dict_class = get_dict_with_model_dump_class(py)?;
-            let request_arg = dict_class.call1((request_dict,))?;
-
-            // Call the Python method
-            py_namespace.call_method1(py, method_name, (request_arg,))?;
-            Ok::<_, PyErr>(())
-        })
-    })
-    .await
-    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
-}
-
-/// Helper for methods that return a primitive type
-async fn call_py_method_primitive<Req, Resp>(
-    py_namespace: Arc<Py<PyAny>>,
-    method_name: &'static str,
-    request: Req,
-) -> lance_core::Result<Resp>
-where
-    Req: serde::Serialize + Send + 'static,
-    Resp: for<'py> pyo3::FromPyObject<'py> + Send + 'static,
-{
-    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to serialize request for {}: {}",
-            method_name, e
-        ))
-    })?;
-
-    tokio::task::spawn_blocking(move || {
-        Python::attach(|py| {
-            let json_module = py.import("json")?;
-            let request_dict = json_module.call_method1("loads", (&request_json,))?;
-
-            // Wrap dict in DictWithModelDump
-            let dict_class = get_dict_with_model_dump_class(py)?;
-            let request_arg = dict_class.call1((request_dict,))?;
-
-            // Call the Python method
-            let result = py_namespace.call_method1(py, method_name, (request_arg,))?;
-            let value: Resp = result.extract(py)?;
-            Ok::<_, PyErr>(value)
-        })
-    })
-    .await
-    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
-}
-
-/// Helper for methods that return Bytes
-async fn call_py_method_bytes<Req>(
-    py_namespace: Arc<Py<PyAny>>,
-    method_name: &'static str,
-    request: Req,
-) -> lance_core::Result<Bytes>
-where
-    Req: serde::Serialize + Send + 'static,
-{
-    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to serialize request for {}: {}",
-            method_name, e
-        ))
-    })?;
-
-    tokio::task::spawn_blocking(move || {
-        Python::attach(|py| {
-            let json_module = py.import("json")?;
-            let request_dict = json_module.call_method1("loads", (&request_json,))?;
-
-            // Wrap dict in DictWithModelDump
-            let dict_class = get_dict_with_model_dump_class(py)?;
-            let request_arg = dict_class.call1((request_dict,))?;
-
-            // Call the Python method
-            let result = py_namespace.call_method1(py, method_name, (request_arg,))?;
-            let bytes_data: Vec<u8> = result.extract(py)?;
-            Ok::<_, PyErr>(Bytes::from(bytes_data))
-        })
-    })
-    .await
-    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))
-}
-
-/// Helper for methods that take request + data and return a response
-async fn call_py_method_with_data<Req, Resp>(
-    py_namespace: Arc<Py<PyAny>>,
-    method_name: &'static str,
-    request: Req,
-    data: Bytes,
-) -> lance_core::Result<Resp>
-where
-    Req: serde::Serialize + Send + 'static,
-    Resp: serde::de::DeserializeOwned + Send + 'static,
-{
-    let request_json = serde_json::to_string(&request).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to serialize request for {}: {}",
-            method_name, e
-        ))
-    })?;
-
-    let response_json = tokio::task::spawn_blocking(move || {
-        Python::attach(|py| {
-            let json_module = py.import("json")?;
-            let request_dict = json_module.call_method1("loads", (&request_json,))?;
-
-            // Wrap dict in DictWithModelDump
-            let dict_class = get_dict_with_model_dump_class(py)?;
-            let request_arg = dict_class.call1((request_dict,))?;
-
-            // Pass request and bytes to Python method
-            let py_bytes = pyo3::types::PyBytes::new(py, &data);
-            let result = py_namespace.call_method1(py, method_name, (request_arg, py_bytes))?;
-
-            // Convert response dict to JSON
-            let response_json: String = json_module.call_method1("dumps", (result,))?.extract()?;
-            Ok::<_, PyErr>(response_json)
-        })
-    })
-    .await
-    .map_err(|e| lance_core::Error::io(format!("Task join error for {}: {}", method_name, e)))?
-    .map_err(|e: PyErr| lance_core::Error::io(format!("Python error in {}: {}", method_name, e)))?;
-
-    serde_json::from_str(&response_json).map_err(|e| {
-        lance_core::Error::io(format!(
-            "Failed to deserialize response from {}: {}",
-            method_name, e
-        ))
-    })
-}
-
-#[async_trait]
-impl LanceNamespaceTrait for PyLanceNamespace {
-    fn namespace_id(&self) -> String {
-        self.namespace_id.clone()
-    }
-
-    async fn list_namespaces(
-        &self,
-        request: ListNamespacesRequest,
-    ) -> lance_core::Result<ListNamespacesResponse> {
-        call_py_method(self.py_namespace.clone(), "list_namespaces", request).await
-    }
-
-    async fn describe_namespace(
-        &self,
-        request: DescribeNamespaceRequest,
-    ) -> lance_core::Result<DescribeNamespaceResponse> {
-        call_py_method(self.py_namespace.clone(), "describe_namespace", request).await
-    }
-
-    async fn create_namespace(
-        &self,
-        request: CreateNamespaceRequest,
-    ) -> lance_core::Result<CreateNamespaceResponse> {
-        call_py_method(self.py_namespace.clone(), "create_namespace", request).await
-    }
-
-    async fn drop_namespace(
-        &self,
-        request: DropNamespaceRequest,
-    ) -> lance_core::Result<DropNamespaceResponse> {
-        call_py_method(self.py_namespace.clone(), "drop_namespace", request).await
-    }
-
-    async fn namespace_exists(&self, request: NamespaceExistsRequest) -> lance_core::Result<()> {
-        call_py_method_unit(self.py_namespace.clone(), "namespace_exists", request).await
-    }
-
-    async fn list_tables(
-        &self,
-        request: ListTablesRequest,
-    ) -> lance_core::Result<ListTablesResponse> {
-        call_py_method(self.py_namespace.clone(), "list_tables", request).await
-    }
-
-    async fn describe_table(
-        &self,
-        request: DescribeTableRequest,
-    ) -> lance_core::Result<DescribeTableResponse> {
-        call_py_method(self.py_namespace.clone(), "describe_table", request).await
-    }
-
-    async fn register_table(
-        &self,
-        request: RegisterTableRequest,
-    ) -> lance_core::Result<RegisterTableResponse> {
-        call_py_method(self.py_namespace.clone(), "register_table", request).await
-    }
-
-    async fn table_exists(&self, request: TableExistsRequest) -> lance_core::Result<()> {
-        call_py_method_unit(self.py_namespace.clone(), "table_exists", request).await
-    }
-
-    async fn drop_table(&self, request: DropTableRequest) -> lance_core::Result<DropTableResponse> {
-        call_py_method(self.py_namespace.clone(), "drop_table", request).await
-    }
-
-    async fn deregister_table(
-        &self,
-        request: DeregisterTableRequest,
-    ) -> lance_core::Result<DeregisterTableResponse> {
-        call_py_method(self.py_namespace.clone(), "deregister_table", request).await
-    }
-
-    async fn count_table_rows(&self, request: CountTableRowsRequest) -> lance_core::Result<i64> {
-        call_py_method_primitive(self.py_namespace.clone(), "count_table_rows", request).await
-    }
-
-    async fn create_table(
-        &self,
-        request: CreateTableRequest,
-        request_data: Bytes,
-    ) -> lance_core::Result<CreateTableResponse> {
-        call_py_method_with_data(
-            self.py_namespace.clone(),
-            "create_table",
-            request,
-            request_data,
-        )
-        .await
-    }
-
-    async fn declare_table(
-        &self,
-        request: DeclareTableRequest,
-    ) -> lance_core::Result<DeclareTableResponse> {
-        call_py_method(self.py_namespace.clone(), "declare_table", request).await
-    }
-
-    async fn insert_into_table(
-        &self,
-        request: InsertIntoTableRequest,
-        request_data: Bytes,
-    ) -> lance_core::Result<InsertIntoTableResponse> {
-        call_py_method_with_data(
-            self.py_namespace.clone(),
-            "insert_into_table",
-            request,
-            request_data,
-        )
-        .await
-    }
-
-    async fn merge_insert_into_table(
-        &self,
-        request: MergeInsertIntoTableRequest,
-        request_data: Bytes,
-    ) -> lance_core::Result<MergeInsertIntoTableResponse> {
-        call_py_method_with_data(
-            self.py_namespace.clone(),
-            "merge_insert_into_table",
-            request,
-            request_data,
-        )
-        .await
-    }
-
-    async fn update_table(
-        &self,
-        request: UpdateTableRequest,
-    ) -> lance_core::Result<UpdateTableResponse> {
-        call_py_method(self.py_namespace.clone(), "update_table", request).await
-    }
-
-    async fn delete_from_table(
-        &self,
-        request: DeleteFromTableRequest,
-    ) -> lance_core::Result<DeleteFromTableResponse> {
-        call_py_method(self.py_namespace.clone(), "delete_from_table", request).await
-    }
-
-    async fn query_table(&self, request: QueryTableRequest) -> lance_core::Result<Bytes> {
-        call_py_method_bytes(self.py_namespace.clone(), "query_table", request).await
-    }
-
-    async fn create_table_index(
-        &self,
-        request: CreateTableIndexRequest,
-    ) -> lance_core::Result<CreateTableIndexResponse> {
-        call_py_method(self.py_namespace.clone(), "create_table_index", request).await
-    }
-
-    async fn list_table_indices(
-        &self,
-        request: ListTableIndicesRequest,
-    ) -> lance_core::Result<ListTableIndicesResponse> {
-        call_py_method(self.py_namespace.clone(), "list_table_indices", request).await
-    }
-
-    async fn describe_table_index_stats(
-        &self,
-        request: DescribeTableIndexStatsRequest,
-    ) -> lance_core::Result<DescribeTableIndexStatsResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "describe_table_index_stats",
-            request,
-        )
-        .await
-    }
-
-    async fn describe_transaction(
-        &self,
-        request: DescribeTransactionRequest,
-    ) -> lance_core::Result<DescribeTransactionResponse> {
-        call_py_method(self.py_namespace.clone(), "describe_transaction", request).await
-    }
-
-    async fn alter_transaction(
-        &self,
-        request: AlterTransactionRequest,
-    ) -> lance_core::Result<AlterTransactionResponse> {
-        call_py_method(self.py_namespace.clone(), "alter_transaction", request).await
-    }
-
-    async fn create_table_scalar_index(
-        &self,
-        request: CreateTableIndexRequest,
-    ) -> lance_core::Result<CreateTableScalarIndexResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "create_table_scalar_index",
-            request,
-        )
-        .await
-    }
-
-    async fn drop_table_index(
-        &self,
-        request: DropTableIndexRequest,
-    ) -> lance_core::Result<DropTableIndexResponse> {
-        call_py_method(self.py_namespace.clone(), "drop_table_index", request).await
-    }
-
-    async fn list_all_tables(
-        &self,
-        request: ListTablesRequest,
-    ) -> lance_core::Result<ListTablesResponse> {
-        call_py_method(self.py_namespace.clone(), "list_all_tables", request).await
-    }
-
-    async fn restore_table(
-        &self,
-        request: RestoreTableRequest,
-    ) -> lance_core::Result<RestoreTableResponse> {
-        call_py_method(self.py_namespace.clone(), "restore_table", request).await
-    }
-
-    async fn rename_table(
-        &self,
-        request: RenameTableRequest,
-    ) -> lance_core::Result<RenameTableResponse> {
-        call_py_method(self.py_namespace.clone(), "rename_table", request).await
-    }
-
-    async fn list_table_versions(
-        &self,
-        request: ListTableVersionsRequest,
-    ) -> lance_core::Result<ListTableVersionsResponse> {
-        call_py_method(self.py_namespace.clone(), "list_table_versions", request).await
-    }
-
-    async fn create_table_version(
-        &self,
-        request: CreateTableVersionRequest,
-    ) -> lance_core::Result<CreateTableVersionResponse> {
-        call_py_method(self.py_namespace.clone(), "create_table_version", request).await
-    }
-
-    async fn describe_table_version(
-        &self,
-        request: DescribeTableVersionRequest,
-    ) -> lance_core::Result<DescribeTableVersionResponse> {
-        call_py_method(self.py_namespace.clone(), "describe_table_version", request).await
-    }
-
-    async fn batch_delete_table_versions(
-        &self,
-        request: BatchDeleteTableVersionsRequest,
-    ) -> lance_core::Result<BatchDeleteTableVersionsResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "batch_delete_table_versions",
-            request,
-        )
-        .await
-    }
-
-    async fn update_table_schema_metadata(
-        &self,
-        request: UpdateTableSchemaMetadataRequest,
-    ) -> lance_core::Result<UpdateTableSchemaMetadataResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "update_table_schema_metadata",
-            request,
-        )
-        .await
-    }
-
-    async fn get_table_stats(
-        &self,
-        request: GetTableStatsRequest,
-    ) -> lance_core::Result<GetTableStatsResponse> {
-        call_py_method(self.py_namespace.clone(), "get_table_stats", request).await
-    }
-
-    async fn explain_table_query_plan(
-        &self,
-        request: ExplainTableQueryPlanRequest,
-    ) -> lance_core::Result<String> {
-        call_py_method_primitive(
-            self.py_namespace.clone(),
-            "explain_table_query_plan",
-            request,
-        )
-        .await
-    }
-
-    async fn analyze_table_query_plan(
-        &self,
-        request: AnalyzeTableQueryPlanRequest,
-    ) -> lance_core::Result<String> {
-        call_py_method_primitive(
-            self.py_namespace.clone(),
-            "analyze_table_query_plan",
-            request,
-        )
-        .await
-    }
-
-    async fn alter_table_add_columns(
-        &self,
-        request: AlterTableAddColumnsRequest,
-    ) -> lance_core::Result<AlterTableAddColumnsResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "alter_table_add_columns",
-            request,
-        )
-        .await
-    }
-
-    async fn alter_table_alter_columns(
-        &self,
-        request: AlterTableAlterColumnsRequest,
-    ) -> lance_core::Result<AlterTableAlterColumnsResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "alter_table_alter_columns",
-            request,
-        )
-        .await
-    }
-
-    async fn alter_table_drop_columns(
-        &self,
-        request: AlterTableDropColumnsRequest,
-    ) -> lance_core::Result<AlterTableDropColumnsResponse> {
-        call_py_method(
-            self.py_namespace.clone(),
-            "alter_table_drop_columns",
-            request,
-        )
-        .await
-    }
-
-    async fn list_table_tags(
-        &self,
-        request: ListTableTagsRequest,
-    ) -> lance_core::Result<ListTableTagsResponse> {
-        call_py_method(self.py_namespace.clone(), "list_table_tags", request).await
-    }
-
-    async fn create_table_tag(
-        &self,
-        request: CreateTableTagRequest,
-    ) -> lance_core::Result<CreateTableTagResponse> {
-        call_py_method(self.py_namespace.clone(), "create_table_tag", request).await
-    }
-
-    async fn delete_table_tag(
-        &self,
-        request: DeleteTableTagRequest,
-    ) -> lance_core::Result<DeleteTableTagResponse> {
-        call_py_method(self.py_namespace.clone(), "delete_table_tag", request).await
-    }
-
-    async fn update_table_tag(
-        &self,
-        request: UpdateTableTagRequest,
-    ) -> lance_core::Result<UpdateTableTagResponse> {
-        call_py_method(self.py_namespace.clone(), "update_table_tag", request).await
-    }
-
-    async fn get_table_tag_version(
-        &self,
-        request: GetTableTagVersionRequest,
-    ) -> lance_core::Result<GetTableTagVersionResponse> {
-        call_py_method(self.py_namespace.clone(), "get_table_tag_version", request).await
-    }
-}
-
-/// Convert Python dict to HashMap<String, String>
-#[allow(dead_code)]
-fn dict_to_hashmap(dict: &Bound<'_, PyDict>) -> PyResult<HashMap<String, String>> {
-    let mut map = HashMap::new();
-    for (key, value) in dict.iter() {
-        let key_str: String = key.extract()?;
-        let value_str: String = value.extract()?;
-        map.insert(key_str, value_str);
-    }
-    Ok(map)
-}
-
-/// Extract an Arc<dyn LanceNamespace> from a Python namespace object.
-///
-/// This function wraps any Python namespace object with PyLanceNamespace.
-/// The PyLanceNamespace wrapper uses DictWithModelDump to pass requests,
-/// which works with both:
-/// - Native namespaces (DirectoryNamespace, RestNamespace) that use depythonize (expects dict)
-/// - Custom Python implementations that call .model_dump() on the request
-pub fn extract_namespace_arc(
-    py: Python<'_>,
-    ns: Py<PyAny>,
-) -> PyResult<Arc<dyn LanceNamespaceTrait>> {
-    let ns_ref = ns.bind(py);
-    PyLanceNamespace::create_arc(py, ns_ref)
-}
--- a/python/src/query.rs
+++ b/python/src/query.rs
@@ -316,19 +316,6 @@ impl<'py> IntoPyObject<'py> for PySelect {
            Select::All => Ok(py.None().into_bound(py).into_any()),
            Select::Columns(columns) => Ok(columns.into_pyobject(py)?.into_any()),
            Select::Dynamic(columns) => Ok(columns.into_pyobject(py)?.into_any()),
-            Select::Expr(pairs) => {
-                // Serialize DataFusion Expr -> SQL string so Python sees the same
-                // format as Select::Dynamic: a list of (name, sql_string) tuples.
-                let sql_pairs: PyResult<Vec<(String, String)>> = pairs
-                    .into_iter()
-                    .map(|(name, expr)| {
-                        lancedb::expr::expr_to_sql_string(&expr)
-                            .map(|sql| (name, sql))
-                            .map_err(|e| PyRuntimeError::new_err(e.to_string()))
-                    })
-                    .collect();
-                Ok(sql_pairs?.into_pyobject(py)?.into_any())
-            }
        }
    }
 }
--- a/python/src/table.rs
+++ b/python/src/table.rs
@@ -19,7 +19,7 @@ use lancedb::table::{
    Table as LanceDbTable,
 };
 use pyo3::{
-    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
+    Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
    exceptions::{PyKeyError, PyRuntimeError, PyValueError},
    pyclass, pymethods,
    types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
@@ -299,12 +299,10 @@ impl Table {
        })
    }

-    #[pyo3(signature = (data, mode, progress=None))]
    pub fn add<'a>(
        self_: PyRef<'a, Self>,
        data: PyScannable,
        mode: String,
-        progress: Option<Py<PyAny>>,
    ) -> PyResult<Bound<'a, PyAny>> {
        let mut op = self_.inner_ref()?.add(data);
        if mode == "append" {
@@ -314,81 +312,6 @@ impl Table {
        } else {
            return Err(PyValueError::new_err(format!("Invalid mode: {}", mode)));
        }
-        if let Some(progress_obj) = progress {
-            let is_callable = Python::attach(|py| progress_obj.bind(py).is_callable());
-            if is_callable {
-                // Callback: call with a dict of progress info.
-                op = op.progress(move |p| {
-                    Python::attach(|py| {
-                        let dict = PyDict::new(py);
-                        if let Err(e) = dict
-                            .set_item("output_rows", p.output_rows())
-                            .and_then(|_| dict.set_item("output_bytes", p.output_bytes()))
-                            .and_then(|_| dict.set_item("total_rows", p.total_rows()))
-                            .and_then(|_| {
-                                dict.set_item("elapsed_seconds", p.elapsed().as_secs_f64())
-                            })
-                            .and_then(|_| dict.set_item("active_tasks", p.active_tasks()))
-                            .and_then(|_| dict.set_item("total_tasks", p.total_tasks()))
-                            .and_then(|_| dict.set_item("done", p.done()))
-                        {
-                            log::warn!("progress dict error: {e}");
-                            return;
-                        }
-                        if let Err(e) = progress_obj.call1(py, (dict,)) {
-                            log::warn!("progress callback error: {e}");
-                        }
-                    });
-                });
-            } else {
-                // tqdm-like: has update() method.
-                let mut last_rows: usize = 0;
-                let mut total_set = false;
-                op = op.progress(move |p| {
-                    let current = p.output_rows();
-                    let prev = last_rows;
-                    last_rows = current;
-                    Python::attach(|py| {
-                        if let Some(total) = p.total_rows()
-                            && !total_set
-                        {
-                            if let Err(e) = progress_obj.setattr(py, "total", total) {
-                                log::warn!("progress setattr error: {e}");
-                            }
-                            total_set = true;
-                        }
-                        let delta = current.saturating_sub(prev);
-                        if delta > 0 {
-                            if let Err(e) = progress_obj.call_method1(py, "update", (delta,)) {
-                                log::warn!("progress update error: {e}");
-                            }
-                            // Show throughput and active workers in tqdm postfix.
-                            let elapsed = p.elapsed().as_secs_f64();
-                            if elapsed > 0.0 {
-                                let mb_per_sec = p.output_bytes() as f64 / elapsed / 1_000_000.0;
-                                let postfix = format!(
-                                    "{:.1} MB/s | {}/{} workers",
-                                    mb_per_sec,
-                                    p.active_tasks(),
-                                    p.total_tasks()
-                                );
-                                if let Err(e) =
-                                    progress_obj.call_method1(py, "set_postfix_str", (postfix,))
-                                {
-                                    log::warn!("progress set_postfix_str error: {e}");
-                                }
-                            }
-                        }
-                        if p.done() {
-                            // Force a final refresh so the bar shows completion.
-                            if let Err(e) = progress_obj.call_method0(py, "refresh") {
-                                log::warn!("progress refresh error: {e}");
-                            }
-                        }
-                    });
-                });
-            }
-        }

        future_into_py(self_.py(), async move {
            let result = op.execute().await.infer_error()?;
@@ -503,17 +426,6 @@ 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 {
--- a/python/uv.lock
+++ b/python/uv.lock
@@ -2006,7 +2006,7 @@ requires-dist = [
    { name = "botocore", marker = "extra == 'embeddings'", specifier = ">=1.31.57" },
    { name = "cohere", marker = "extra == 'embeddings'" },
    { name = "colpali-engine", marker = "extra == 'embeddings'", specifier = ">=0.3.10" },
-    { name = "datafusion", marker = "extra == 'tests'", specifier = "<52" },
+    { name = "datafusion", marker = "extra == 'tests'" },
    { name = "deprecation" },
    { name = "duckdb", marker = "extra == 'tests'" },
    { name = "google-generativeai", marker = "extra == 'embeddings'" },
@@ -2035,7 +2035,7 @@ requires-dist = [
    { name = "pyarrow-stubs", marker = "extra == 'tests'" },
    { name = "pydantic", specifier = ">=1.10" },
    { name = "pylance", marker = "extra == 'pylance'", specifier = ">=1.0.0b14" },
-    { name = "pylance", marker = "extra == 'tests'", specifier = ">=1.0.0b14,<3.0.0" },
+    { name = "pylance", marker = "extra == 'tests'", specifier = ">=1.0.0b14" },
    { name = "pyright", marker = "extra == 'dev'" },
    { name = "pytest", marker = "extra == 'tests'" },
    { name = "pytest-asyncio", marker = "extra == 'tests'" },
--- a/rust/lancedb/Cargo.toml
+++ b/rust/lancedb/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.27.2-beta.0"
+version = "0.27.0-beta.3"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
--- a/rust/lancedb/README.md
+++ b/rust/lancedb/README.md
@@ -1,4 +1,4 @@
-# LanceDB Rust SDK
+# LanceDB Rust

 <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>
--- a/rust/lancedb/src/connection.rs
+++ b/rust/lancedb/src/connection.rs
@@ -136,7 +136,6 @@ impl OpenTableBuilder {
                lance_read_params: None,
                location: None,
                namespace_client: None,
-                managed_versioning: None,
            },
            embedding_registry,
        }
@@ -236,29 +235,6 @@ impl OpenTableBuilder {
        self
    }

-    /// Set a namespace client for managed versioning support.
-    ///
-    /// When a namespace client is provided and the table has `managed_versioning` enabled,
-    /// the table will use the namespace's commit handler to notify the namespace of
-    /// version changes. This enables features like event emission for table modifications.
-    pub fn namespace_client(mut self, client: Arc<dyn lance_namespace::LanceNamespace>) -> Self {
-        self.request.namespace_client = Some(client);
-        self
-    }
-
-    /// Set whether managed versioning is enabled for this table.
-    ///
-    /// When set to `Some(true)`, the table will use namespace-managed commits.
-    /// When set to `Some(false)`, the table will use local commits even if namespace_client is set.
-    /// When set to `None` (default), the value will be fetched from the namespace if namespace_client is set.
-    ///
-    /// This is typically set when the caller has already queried the namespace and knows the
-    /// managed_versioning status, avoiding a redundant describe_table call.
-    pub fn managed_versioning(mut self, enabled: bool) -> Self {
-        self.request.managed_versioning = Some(enabled);
-        self
-    }
-
    /// Open the table
    pub async fn execute(self) -> Result<Table> {
        let table = self.parent.open_table(self.request).await?;
@@ -318,12 +294,6 @@ impl CloneTableBuilder {
        self
    }

-    /// Set a namespace client for managed versioning support.
-    pub fn namespace_client(mut self, client: Arc<dyn lance_namespace::LanceNamespace>) -> Self {
-        self.request.namespace_client = Some(client);
-        self
-    }
-
    /// Execute the clone operation
    pub async fn execute(self) -> Result<Table> {
        let parent = self.parent.clone();
@@ -596,8 +566,11 @@ pub struct ConnectBuilder {
 }

 #[cfg(feature = "remote")]
-const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 1] =
-    [("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name")];
+const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 3] = [
+    ("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name"),
+    ("AZURE_CLIENT_ID", "azure_client_id"),
+    ("AZURE_TENANT_ID", "azure_tenant_id"),
+];

 impl ConnectBuilder {
    /// Create a new [`ConnectOptions`] with the given database URI.
--- a/rust/lancedb/src/database.rs
+++ b/rust/lancedb/src/database.rs
@@ -66,10 +66,6 @@ pub struct OpenTableRequest {
    /// Optional namespace client for server-side query execution.
    /// When set, queries will be executed on the namespace server instead of locally.
    pub namespace_client: Option<Arc<dyn LanceNamespace>>,
-    /// Whether managed versioning is enabled for this table.
-    /// When Some(true), the table will use namespace-managed commits instead of local commits.
-    /// When None and namespace_client is provided, the value will be fetched from the namespace.
-    pub managed_versioning: Option<bool>,
 }

 impl std::fmt::Debug for OpenTableRequest {
@@ -81,7 +77,6 @@ impl std::fmt::Debug for OpenTableRequest {
            .field("lance_read_params", &self.lance_read_params)
            .field("location", &self.location)
            .field("namespace_client", &self.namespace_client)
-            .field("managed_versioning", &self.managed_versioning)
            .finish()
    }
 }
@@ -166,9 +161,6 @@ pub struct CloneTableRequest {
    /// Whether to perform a shallow clone (true) or deep clone (false). Defaults to true.
    /// Currently only shallow clone is supported.
    pub is_shallow: bool,
-    /// Optional namespace client for managed versioning support.
-    /// When set, enables the commit handler to track table versions through the namespace.
-    pub namespace_client: Option<Arc<dyn LanceNamespace>>,
 }

 impl CloneTableRequest {
@@ -180,7 +172,6 @@ impl CloneTableRequest {
            source_version: None,
            source_tag: None,
            is_shallow: true,
-            namespace_client: None,
        }
    }
 }
--- a/rust/lancedb/src/database/listing.rs
+++ b/rust/lancedb/src/database/listing.rs
@@ -669,7 +669,6 @@ impl ListingDatabase {
                    lance_read_params: None,
                    location: None,
                    namespace_client: None,
-                    managed_versioning: None,
                };
                let req = (callback)(req);
                let table = self.open_table(req).await?;
@@ -870,7 +869,6 @@ impl Database for ListingDatabase {
            Some(write_params),
            self.read_consistency_interval,
            request.namespace_client,
-            false, // server_side_query_enabled - listing database doesn't support server-side queries
        )
        .await
        {
@@ -948,9 +946,7 @@ impl Database for ListingDatabase {
            self.store_wrapper.clone(),
            None,
            self.read_consistency_interval,
-            request.namespace_client,
-            false, // server_side_query_enabled - listing database doesn't support server-side queries
-            None,  // managed_versioning - will be queried if namespace_client is provided
+            None,
        )
        .await?;

@@ -1026,8 +1022,6 @@ impl Database for ListingDatabase {
                Some(read_params),
                self.read_consistency_interval,
                request.namespace_client,
-                false, // server_side_query_enabled - listing database doesn't support server-side queries
-                request.managed_versioning, // Pass through managed_versioning from request
            )
            .await?,
        );
@@ -1168,7 +1162,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
@@ -1229,7 +1222,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
@@ -1289,7 +1281,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await;

@@ -1326,7 +1317,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: false, // Request deep clone
-                namespace_client: None,
            })
            .await;

@@ -1367,7 +1357,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await;

@@ -1408,7 +1397,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await;

@@ -1428,7 +1416,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await;

@@ -1465,7 +1452,6 @@ mod tests {
                source_version: Some(1),
                source_tag: Some("v1.0".to_string()),
                is_shallow: true,
-                namespace_client: None,
            })
            .await;

@@ -1539,7 +1525,6 @@ mod tests {
                source_version: Some(initial_version),
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
@@ -1618,7 +1603,6 @@ mod tests {
                source_version: None,
                source_tag: Some("v1.0".to_string()),
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
@@ -1670,7 +1654,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
@@ -1763,7 +1746,6 @@ mod tests {
                source_version: None,
                source_tag: None,
                is_shallow: true,
-                namespace_client: None,
            })
            .await
            .unwrap();
--- a/rust/lancedb/src/database/namespace.rs
+++ b/rust/lancedb/src/database/namespace.rs
@@ -7,7 +7,6 @@ use std::collections::HashMap;
 use std::sync::Arc;

 use async_trait::async_trait;
-use lance::io::commit::namespace_manifest::LanceNamespaceExternalManifestStore;
 use lance_io::object_store::{ObjectStoreParams, StorageOptionsAccessor};
 use lance_namespace::{
    LanceNamespace,
@@ -19,8 +18,6 @@ use lance_namespace::{
    },
 };
 use lance_namespace_impls::ConnectBuilder;
-use lance_table::io::commit::CommitHandler;
-use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;

 use crate::database::ReadConsistency;
 use crate::error::{Error, Result};
@@ -208,12 +205,14 @@ impl Database for LanceNamespaceDatabase {
        let mut table_id = request.namespace.clone();
        table_id.push(request.name.clone());

+        // Try declare_table first, falling back to create_empty_table for backwards
+        // compatibility with older namespace clients that don't support declare_table
        let declare_request = DeclareTableRequest {
            id: Some(table_id.clone()),
            ..Default::default()
        };

-        let (location, initial_storage_options, managed_versioning) = {
+        let (location, initial_storage_options) = {
            let response = self.namespace.declare_table(declare_request).await?;
            let loc = response.location.ok_or_else(|| Error::Runtime {
                message: "Table location is missing from declare_table response".to_string(),
@@ -223,33 +222,21 @@ impl Database for LanceNamespaceDatabase {
                .storage_options
                .or_else(|| Some(self.storage_options.clone()))
                .filter(|o| !o.is_empty());
-            (loc, opts, response.managed_versioning)
+            (loc, opts)
        };

-        // Build write params with storage options and commit handler
-        let mut params = request.write_options.lance_write_params.unwrap_or_default();
-
-        // Set up storage options if provided
-        if let Some(storage_opts) = initial_storage_options {
+        let write_params = if let Some(storage_opts) = initial_storage_options {
+            let mut params = request.write_options.lance_write_params.unwrap_or_default();
            let store_params = params
                .store_params
                .get_or_insert_with(ObjectStoreParams::default);
            store_params.storage_options_accessor = Some(Arc::new(
                StorageOptionsAccessor::with_static_options(storage_opts),
            ));
-        }
-
-        // Set up commit handler when managed_versioning is enabled
-        if managed_versioning == Some(true) {
-            let external_store =
-                LanceNamespaceExternalManifestStore::new(self.namespace.clone(), table_id.clone());
-            let commit_handler: Arc<dyn CommitHandler> = Arc::new(ExternalManifestCommitHandler {
-                external_manifest_store: Arc::new(external_store),
-            });
-            params.commit_handler = Some(commit_handler);
-        }
-
-        let write_params = Some(params);
+            Some(params)
+        } else {
+            request.write_options.lance_write_params
+        };

        let native_table = NativeTable::create_from_namespace(
            self.namespace.clone(),
--- a/rust/lancedb/src/dataloader/permutation/reader.rs
+++ b/rust/lancedb/src/dataloader/permutation/reader.rs
@@ -339,12 +339,6 @@ impl PermutationReader {
                }
                Ok(false)
            }
-            Select::Expr(columns) => {
-                // For Expr projections, we check if any alias is _rowid.
-                // We can't validate the expression itself (it may differ from _rowid)
-                // but we allow it through; the column will be included.
-                Ok(columns.iter().any(|(alias, _)| alias == ROW_ID))
-            }
        }
    }

--- a/rust/lancedb/src/query.rs
+++ b/rust/lancedb/src/query.rs
@@ -47,25 +47,6 @@ pub enum Select {
    ///
    /// See [`Query::select`] for more details and examples
    Dynamic(Vec<(String, String)>),
-    /// Advanced selection using type-safe DataFusion expressions
-    ///
-    /// Similar to [`Select::Dynamic`] but uses [`datafusion_expr::Expr`] instead of
-    /// raw SQL strings. Use [`crate::expr`] helpers to build expressions:
-    ///
-    /// ```
-    /// use lancedb::expr::{col, lit};
-    /// use lancedb::query::Select;
-    ///
-    /// // SELECT id, id * 2 AS id2 FROM ...
-    /// let selection = Select::expr_projection(&[
-    ///     ("id", col("id")),
-    ///     ("id2", col("id") * lit(2)),
-    /// ]);
-    /// ```
-    ///
-    /// Note: For remote/server-side queries the expressions are serialized to SQL strings
-    /// automatically (same as [`Select::Dynamic`]).
-    Expr(Vec<(String, datafusion_expr::Expr)>),
 }

 impl Select {
@@ -88,29 +69,6 @@ impl Select {
                .collect(),
        )
    }
-    /// Create a typed-expression projection.
-    ///
-    /// This is a convenience method for creating a [`Select::Expr`] variant from
-    /// a slice of `(name, expr)` pairs where each `expr` is a [`datafusion_expr::Expr`].
-    ///
-    /// # Example
-    /// ```
-    /// use lancedb::expr::{col, lit};
-    /// use lancedb::query::Select;
-    ///
-    /// let selection = Select::expr_projection(&[
-    ///     ("id", col("id")),
-    ///     ("id2", col("id") * lit(2)),
-    /// ]);
-    /// ```
-    pub fn expr_projection(columns: &[(impl AsRef<str>, datafusion_expr::Expr)]) -> Self {
-        Self::Expr(
-            columns
-                .iter()
-                .map(|(name, expr)| (name.as_ref().to_string(), expr.clone()))
-                .collect(),
-        )
-    }
 }

 /// A trait for converting a type to a query vector
@@ -1633,58 +1591,6 @@ mod tests {
        });
    }

-    #[tokio::test]
-    async fn test_select_with_expr_projection() {
-        // Mirrors test_select_with_transform but uses Select::Expr instead of Select::Dynamic
-        let tmp_dir = tempdir().unwrap();
-        let dataset_path = tmp_dir.path().join("test_expr.lance");
-        let uri = dataset_path.to_str().unwrap();
-
-        let batches = make_non_empty_batches();
-        let conn = connect(uri).execute().await.unwrap();
-        let table = conn
-            .create_table("my_table", batches)
-            .execute()
-            .await
-            .unwrap();
-
-        use crate::expr::{col, lit};
-        let query = table.query().limit(10).select(Select::expr_projection(&[
-            ("id2", col("id") * lit(2i32)),
-            ("id", col("id")),
-        ]));
-
-        let schema = query.output_schema().await.unwrap();
-        assert_eq!(
-            schema,
-            Arc::new(ArrowSchema::new(vec![
-                ArrowField::new("id2", DataType::Int32, true),
-                ArrowField::new("id", DataType::Int32, true),
-            ]))
-        );
-
-        let result = query.execute().await;
-        let mut batches = result
-            .expect("should have result")
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-        assert_eq!(batches.len(), 1);
-        let batch = batches.pop().unwrap();
-
-        // id and id2
-        assert_eq!(batch.num_columns(), 2);
-
-        let id: &Int32Array = batch.column_by_name("id").unwrap().as_primitive();
-        let id2: &Int32Array = batch.column_by_name("id2").unwrap().as_primitive();
-
-        id.iter().zip(id2.iter()).for_each(|(id, id2)| {
-            let id = id.unwrap();
-            let id2 = id2.unwrap();
-            assert_eq!(id * 2, id2);
-        });
-    }
-
    #[tokio::test]
    async fn test_execute_no_vector() {
        // TODO: Switch back to memory://foo after https://github.com/lancedb/lancedb/issues/1051
--- a/rust/lancedb/src/remote/client.rs
+++ b/rust/lancedb/src/remote/client.rs
@@ -426,11 +426,14 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
                })?,
            );
        }
-        if let Some(prefix) = db_prefix {
+        if db_prefix.is_some() {
            headers.insert(
                HeaderName::from_static("x-lancedb-database-prefix"),
-                HeaderValue::from_str(prefix).map_err(|_| Error::InvalidInput {
-                    message: format!("non-ascii database prefix '{}' provided", prefix),
+                HeaderValue::from_str(db_prefix.unwrap()).map_err(|_| Error::InvalidInput {
+                    message: format!(
+                        "non-ascii database prefix '{}' provided",
+                        db_prefix.unwrap()
+                    ),
                })?,
            );
        }
@@ -443,13 +446,23 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
                })?,
            );
        }
-        if let Some(v) = options.0.get("azure_storage_account_name") {
-            headers.insert(
-                HeaderName::from_static("x-azure-storage-account-name"),
-                HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
-                    message: format!("non-ascii storage account name '{}' provided", db_name),
-                })?,
-            );
+        // Map azure storage options to x-azure-* headers.
+        // The option key uses underscores (e.g. "azure_client_id") while the
+        // header uses hyphens (e.g. "x-azure-client-id").
+        let azure_opts: [(&str, &str); 3] = [
+            ("azure_storage_account_name", "x-azure-storage-account-name"),
+            ("azure_client_id", "x-azure-client-id"),
+            ("azure_tenant_id", "x-azure-tenant-id"),
+        ];
+        for (opt_key, header_name) in azure_opts {
+            if let Some(v) = options.0.get(opt_key) {
+                headers.insert(
+                    HeaderName::from_static(header_name),
+                    HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
+                        message: format!("non-ascii value '{}' for option '{}'", v, opt_key),
+                    })?,
+                );
+            }
        }

        for (key, value) in &config.extra_headers {
@@ -1072,4 +1085,34 @@ mod tests {
            _ => panic!("Expected Runtime error"),
        }
    }
+
+    #[test]
+    fn test_default_headers_azure_opts() {
+        let mut opts = HashMap::new();
+        opts.insert(
+            "azure_storage_account_name".to_string(),
+            "myaccount".to_string(),
+        );
+        opts.insert("azure_client_id".to_string(), "my-client-id".to_string());
+        opts.insert("azure_tenant_id".to_string(), "my-tenant-id".to_string());
+        let remote_opts = RemoteOptions::new(opts);
+
+        let headers = RestfulLanceDbClient::<Sender>::default_headers(
+            "test-key",
+            "us-east-1",
+            "testdb",
+            false,
+            &remote_opts,
+            None,
+            &ClientConfig::default(),
+        )
+        .unwrap();
+
+        assert_eq!(
+            headers.get("x-azure-storage-account-name").unwrap(),
+            "myaccount"
+        );
+        assert_eq!(headers.get("x-azure-client-id").unwrap(), "my-client-id");
+        assert_eq!(headers.get("x-azure-tenant-id").unwrap(), "my-tenant-id");
+    }
 }
--- a/rust/lancedb/src/remote/db.rs
+++ b/rust/lancedb/src/remote/db.rs
@@ -72,10 +72,6 @@ impl ServerVersion {
    pub fn support_structural_fts(&self) -> bool {
        self.0 >= semver::Version::new(0, 3, 0)
    }
-
-    pub fn support_multipart_write(&self) -> bool {
-        self.0 >= semver::Version::new(0, 4, 0)
-    }
 }

 pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
@@ -468,7 +464,6 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
                            lance_read_params: None,
                            location: None,
                            namespace_client: None,
-                            managed_versioning: None,
                        };
                        let req = (callback)(req);
                        self.open_table(req).await
@@ -782,7 +777,12 @@ impl RemoteOptions {

 impl From<StorageOptions> for RemoteOptions {
    fn from(options: StorageOptions) -> Self {
-        let supported_opts = vec!["account_name", "azure_storage_account_name"];
+        let supported_opts = vec![
+            "account_name",
+            "azure_storage_account_name",
+            "azure_client_id",
+            "azure_tenant_id",
+        ];
        let mut filtered = HashMap::new();
        for opt in supported_opts {
            if let Some(v) = options.0.get(opt) {
--- a/rust/lancedb/src/remote/table.rs
+++ b/rust/lancedb/src/remote/table.rs
--- a/rust/lancedb/src/remote/table/insert.rs
+++ b/rust/lancedb/src/remote/table/insert.rs
@@ -11,14 +11,10 @@ use arrow_ipc::CompressionType;
 use datafusion_common::{DataFusionError, Result as DataFusionResult};
 use datafusion_execution::{SendableRecordBatchStream, TaskContext};
 use datafusion_physical_expr::EquivalenceProperties;
-use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricsSet};
 use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
-use datafusion_physical_plan::{
-    DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
-};
+use datafusion_physical_plan::{DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties};
 use futures::StreamExt;
 use http::header::CONTENT_TYPE;
-use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;

 use crate::Error;
 use crate::remote::ARROW_STREAM_CONTENT_TYPE;
@@ -26,16 +22,13 @@ use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender};
 use crate::remote::table::RemoteTable;
 use crate::table::AddResult;
 use crate::table::datafusion::insert::COUNT_SCHEMA;
-use crate::table::write_progress::WriteProgressTracker;

 /// ExecutionPlan for inserting data into a remote LanceDB table.
 ///
-/// Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint.
-///
-/// When `upload_id` is set, inserts are staged as part of a multipart write
-/// session and the plan supports multiple partitions for parallel uploads.
-/// Without `upload_id`, the plan requires a single partition and commits
-/// immediately.
+/// This plan:
+/// 1. Requires single partition (no parallel remote inserts yet)
+/// 2. Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint
+/// 3. Stores AddResult for retrieval after execution
 #[derive(Debug)]
 pub struct RemoteInsertExec<S: HttpSend = Sender> {
    table_name: String,
@@ -45,69 +38,21 @@ pub struct RemoteInsertExec<S: HttpSend = Sender> {
    overwrite: bool,
    properties: PlanProperties,
    add_result: Arc<Mutex<Option<AddResult>>>,
-    metrics: ExecutionPlanMetricsSet,
-    upload_id: Option<String>,
-    tracker: Option<Arc<WriteProgressTracker>>,
 }

 impl<S: HttpSend + 'static> RemoteInsertExec<S> {
-    /// Create a new single-partition RemoteInsertExec.
+    /// Create a new RemoteInsertExec.
    pub fn new(
        table_name: String,
        identifier: String,
        client: RestfulLanceDbClient<S>,
        input: Arc<dyn ExecutionPlan>,
        overwrite: bool,
-        tracker: Option<Arc<WriteProgressTracker>>,
    ) -> Self {
-        Self::new_inner(
-            table_name, identifier, client, input, overwrite, None, tracker,
-        )
-    }
-
-    /// Create a multi-partition RemoteInsertExec for use with multipart writes.
-    ///
-    /// Each partition's insert is staged under the given `upload_id` without
-    /// committing. The caller is responsible for calling the complete (or abort)
-    /// endpoint after all partitions finish.
-    pub fn new_multipart(
-        table_name: String,
-        identifier: String,
-        client: RestfulLanceDbClient<S>,
-        input: Arc<dyn ExecutionPlan>,
-        overwrite: bool,
-        upload_id: String,
-        tracker: Option<Arc<WriteProgressTracker>>,
-    ) -> Self {
-        Self::new_inner(
-            table_name,
-            identifier,
-            client,
-            input,
-            overwrite,
-            Some(upload_id),
-            tracker,
-        )
-    }
-
-    fn new_inner(
-        table_name: String,
-        identifier: String,
-        client: RestfulLanceDbClient<S>,
-        input: Arc<dyn ExecutionPlan>,
-        overwrite: bool,
-        upload_id: Option<String>,
-        tracker: Option<Arc<WriteProgressTracker>>,
-    ) -> Self {
-        let num_partitions = if upload_id.is_some() {
-            input.output_partitioning().partition_count()
-        } else {
-            1
-        };
        let schema = COUNT_SCHEMA.clone();
        let properties = PlanProperties::new(
            EquivalenceProperties::new(schema),
-            datafusion_physical_plan::Partitioning::UnknownPartitioning(num_partitions),
+            datafusion_physical_plan::Partitioning::UnknownPartitioning(1),
            datafusion_physical_plan::execution_plan::EmissionType::Final,
            datafusion_physical_plan::execution_plan::Boundedness::Bounded,
        );
@@ -120,9 +65,6 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
            overwrite,
            properties,
            add_result: Arc::new(Mutex::new(None)),
-            metrics: ExecutionPlanMetricsSet::new(),
-            upload_id,
-            tracker,
        }
    }

@@ -141,7 +83,6 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
    fn stream_as_http_body(
        data: SendableRecordBatchStream,
        error_tx: tokio::sync::oneshot::Sender<DataFusionError>,
-        tracker: Option<Arc<WriteProgressTracker>>,
    ) -> DataFusionResult<reqwest::Body> {
        let options = arrow_ipc::writer::IpcWriteOptions::default()
            .try_with_compression(Some(CompressionType::LZ4_FRAME))?;
@@ -153,46 +94,37 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {

        let stream = futures::stream::try_unfold(
            (data, writer, Some(error_tx), false),
-            move |(mut data, mut writer, error_tx, finished)| {
-                let tracker = tracker.clone();
-                async move {
-                    if finished {
-                        return Ok(None);
+            move |(mut data, mut writer, error_tx, finished)| async move {
+                if finished {
+                    return Ok(None);
+                }
+                match data.next().await {
+                    Some(Ok(batch)) => {
+                        writer
+                            .write(&batch)
+                            .map_err(|e| std::io::Error::other(e.to_string()))?;
+                        let buffer = std::mem::take(writer.get_mut());
+                        Ok(Some((buffer, (data, writer, error_tx, false))))
                    }
-                    match data.next().await {
-                        Some(Ok(batch)) => {
-                            writer
-                                .write(&batch)
-                                .map_err(|e| std::io::Error::other(e.to_string()))?;
-                            let buffer = std::mem::take(writer.get_mut());
-                            if let Some(ref t) = tracker {
-                                t.record_bytes(buffer.len());
-                            }
-                            Ok(Some((buffer, (data, writer, error_tx, false))))
+                    Some(Err(e)) => {
+                        // Send the original error through the channel before
+                        // returning a generic error to reqwest.
+                        if let Some(tx) = error_tx {
+                            let _ = tx.send(e);
                        }
-                        Some(Err(e)) => {
-                            // Send the original error through the channel before
-                            // returning a generic error to reqwest.
-                            if let Some(tx) = error_tx {
-                                let _ = tx.send(e);
-                            }
-                            Err(std::io::Error::other(
-                                "input stream error (see error channel)",
-                            ))
-                        }
-                        None => {
-                            writer
-                                .finish()
-                                .map_err(|e| std::io::Error::other(e.to_string()))?;
-                            let buffer = std::mem::take(writer.get_mut());
-                            if buffer.is_empty() {
-                                Ok(None)
-                            } else {
-                                if let Some(ref t) = tracker {
-                                    t.record_bytes(buffer.len());
-                                }
-                                Ok(Some((buffer, (data, writer, None, true))))
-                            }
+                        Err(std::io::Error::other(
+                            "input stream error (see error channel)",
+                        ))
+                    }
+                    None => {
+                        writer
+                            .finish()
+                            .map_err(|e| std::io::Error::other(e.to_string()))?;
+                        let buffer = std::mem::take(writer.get_mut());
+                        if buffer.is_empty() {
+                            Ok(None)
+                        } else {
+                            Ok(Some((buffer, (data, writer, None, true))))
                        }
                    }
                }
@@ -242,11 +174,8 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
    }

    fn required_input_distribution(&self) -> Vec<datafusion_physical_plan::Distribution> {
-        if self.upload_id.is_some() {
-            vec![datafusion_physical_plan::Distribution::UnspecifiedDistribution]
-        } else {
-            vec![datafusion_physical_plan::Distribution::SinglePartition]
-        }
+        // Until we have a separate commit endpoint, we need to do all inserts in a single partition
+        vec![datafusion_physical_plan::Distribution::SinglePartition]
    }

    fn benefits_from_input_partitioning(&self) -> Vec<bool> {
@@ -262,14 +191,12 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
                "RemoteInsertExec requires exactly one child".to_string(),
            ));
        }
-        Ok(Arc::new(Self::new_inner(
+        Ok(Arc::new(Self::new(
            self.table_name.clone(),
            self.identifier.clone(),
            self.client.clone(),
            children[0].clone(),
            self.overwrite,
-            self.upload_id.clone(),
-            self.tracker.clone(),
        )))
    }

@@ -278,29 +205,18 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
        partition: usize,
        context: Arc<TaskContext>,
    ) -> DataFusionResult<SendableRecordBatchStream> {
-        if self.upload_id.is_none() && partition != 0 {
+        if partition != 0 {
            return Err(DataFusionError::Internal(
-                "RemoteInsertExec only supports single partition execution without upload_id"
-                    .to_string(),
+                "RemoteInsertExec only supports single partition execution".to_string(),
            ));
        }

-        let input_stream = self.input.execute(partition, context)?;
-        let input_schema = input_stream.schema();
-        let input_stream: SendableRecordBatchStream =
-            Box::pin(InstrumentedRecordBatchStreamAdapter::new(
-                input_schema,
-                input_stream,
-                partition,
-                &self.metrics,
-            ));
+        let input_stream = self.input.execute(0, context)?;
        let client = self.client.clone();
        let identifier = self.identifier.clone();
        let overwrite = self.overwrite;
        let add_result = self.add_result.clone();
        let table_name = self.table_name.clone();
-        let upload_id = self.upload_id.clone();
-        let tracker = self.tracker.clone();

        let stream = futures::stream::once(async move {
            let mut request = client
@@ -310,12 +226,9 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
            if overwrite {
                request = request.query(&[("mode", "overwrite")]);
            }
-            if let Some(ref uid) = upload_id {
-                request = request.query(&[("upload_id", uid.as_str())]);
-            }

            let (error_tx, mut error_rx) = tokio::sync::oneshot::channel();
-            let body = Self::stream_as_http_body(input_stream, error_tx, tracker)?;
+            let body = Self::stream_as_http_body(input_stream, error_tx)?;
            let request = request.body(body);

            let result: DataFusionResult<(String, _)> = async {
@@ -349,43 +262,32 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {

            let (request_id, response) = result?;

-            // For multipart writes, the staging response is not the final
-            // version. Only parse AddResult for non-multipart inserts.
-            if upload_id.is_none() {
-                let body_text = response.text().await.map_err(|e| {
+            let body_text = response.text().await.map_err(|e| {
+                DataFusionError::External(Box::new(Error::Http {
+                    source: Box::new(e),
+                    request_id: request_id.clone(),
+                    status_code: None,
+                }))
+            })?;
+
+            let parsed_result = if body_text.trim().is_empty() {
+                // Backward compatible with old servers
+                AddResult { version: 0 }
+            } else {
+                serde_json::from_str(&body_text).map_err(|e| {
                    DataFusionError::External(Box::new(Error::Http {
-                        source: Box::new(e),
+                        source: format!("Failed to parse add response: {}", e).into(),
                        request_id: request_id.clone(),
                        status_code: None,
                    }))
-                })?;
-
-                let parsed_result = if body_text.trim().is_empty() {
-                    // Backward compatible with old servers
-                    AddResult { version: 0 }
-                } else {
-                    serde_json::from_str(&body_text).map_err(|e| {
-                        DataFusionError::External(Box::new(Error::Http {
-                            source: format!("Failed to parse add response: {}", e).into(),
-                            request_id: request_id.clone(),
-                            status_code: None,
-                        }))
-                    })?
-                };
+                })?
+            };

+            {
                let mut res_lock = add_result.lock().map_err(|_| {
                    DataFusionError::Execution("Failed to acquire lock for add_result".to_string())
                })?;
                *res_lock = Some(parsed_result);
-            } else {
-                // We don't use the body in this case, but we should still consume it.
-                let _ = response.bytes().await.map_err(|e| {
-                    DataFusionError::External(Box::new(Error::Http {
-                        source: Box::new(e),
-                        request_id: request_id.clone(),
-                        status_code: None,
-                    }))
-                })?;
            }

            // Return a single batch with count 0 (actual count is tracked in add_result)
@@ -399,10 +301,6 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
            stream,
        )))
    }
-
-    fn metrics(&self) -> Option<MetricsSet> {
-        Some(self.metrics.clone_inner())
-    }
 }

 #[cfg(test)]
--- a/rust/lancedb/src/table.rs
+++ b/rust/lancedb/src/table.rs
@@ -34,13 +34,9 @@ use lance_index::vector::sq::builder::SQBuildParams;
 use lance_io::object_store::{LanceNamespaceStorageOptionsProvider, StorageOptionsAccessor};
 pub use query::AnyQuery;

-use lance::io::commit::namespace_manifest::LanceNamespaceExternalManifestStore;
 use lance_namespace::LanceNamespace;
-use lance_namespace::models::DescribeTableRequest;
 use lance_table::format::Manifest;
-use lance_table::io::commit::CommitHandler;
 use lance_table::io::commit::ManifestNamingScheme;
-use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
 use serde::{Deserialize, Serialize};
 use std::collections::HashMap;
 use std::format;
@@ -74,10 +70,7 @@ pub mod optimize;
 pub mod query;
 pub mod schema_evolution;
 pub mod update;
-pub mod write_progress;
 use crate::index::waiter::wait_for_index;
-#[cfg(feature = "remote")]
-pub(crate) use add_data::PreprocessingOutput;
 pub use add_data::{AddDataBuilder, AddDataMode, AddResult, NaNVectorBehavior};
 pub use chrono::Duration;
 pub use delete::DeleteResult;
@@ -280,13 +273,8 @@ 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.
@@ -443,34 +431,6 @@ mod test_utils {
                embedding_registry: Arc::new(MemoryRegistry::new()),
            }
        }
-
-        pub fn new_with_handler_version_and_config<T>(
-            name: impl Into<String>,
-            version: semver::Version,
-            handler: impl Fn(reqwest::Request) -> http::Response<T> + Clone + Send + Sync + 'static,
-            config: crate::remote::ClientConfig,
-        ) -> Self
-        where
-            T: Into<reqwest::Body>,
-        {
-            let inner = Arc::new(
-                crate::remote::table::RemoteTable::new_mock_with_version_and_config(
-                    name.into(),
-                    handler.clone(),
-                    Some(version),
-                    config.clone(),
-                ),
-            );
-            let database = Arc::new(crate::remote::db::RemoteDatabase::new_mock_with_config(
-                handler, config,
-            ));
-            Self {
-                inner,
-                database: Some(database),
-                // Registry is unused.
-                embedding_registry: Arc::new(MemoryRegistry::new()),
-            }
-        }
    }
 }

@@ -982,7 +942,17 @@ impl Table {
    ///  * Prune: Removes old versions of the dataset
    ///  * Index: Optimizes the indices, adding new data to existing indices
    ///
-    /// The frequency an application should call optimize is based on the frequency of
+    /// <section class="warning">Experimental API</section>
+    ///
+    /// The optimization process is undergoing active development and may change.
+    /// Our goal with these changes is to improve the performance of optimization and
+    /// reduce the complexity.
+    ///
+    /// That being said, it is essential today to run optimize if you want the best
+    /// performance.  It should be stable and safe to use in production, but it our
+    /// hope that the API may be simplified (or not even need to be called) in the future.
+    ///
+    /// The frequency an application shoudl call optimize is based on the frequency of
    /// data modifications.  If data is frequently added, deleted, or updated then
    /// optimize should be run frequently.  A good rule of thumb is to run optimize if
    /// you have added or modified 100,000 or more records or run more than 20 data
@@ -1149,45 +1119,22 @@ 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 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.
+    /// This is a hint to fully load the index into memory.  It can be used to
+    /// avoid cold starts
    ///
    /// 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.
+    /// available cache.
+    ///
+    /// 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(
@@ -1265,13 +1212,10 @@ pub struct NativeTable {
    // This comes from the connection options. We store here so we can pass down
    // to the dataset when we recreate it (for example, in checkout_latest).
    read_consistency_interval: Option<std::time::Duration>,
-    // Optional namespace client for namespace operations (e.g., managed versioning).
-    // pub(crate) so query.rs can access the field for server-side query execution.
+    // Optional namespace client for server-side query execution.
+    // When set, queries will be executed on the namespace server instead of locally.
+    // pub (crate) namespace_client so query.rs can access the fields
    pub(crate) namespace_client: Option<Arc<dyn LanceNamespace>>,
-    // Whether to enable server-side query execution via the namespace client.
-    // When true and namespace_client is set, queries will be executed on the
-    // namespace server instead of locally.
-    pub(crate) server_side_query_enabled: bool,
 }

 impl std::fmt::Debug for NativeTable {
@@ -1283,7 +1227,6 @@ impl std::fmt::Debug for NativeTable {
            .field("uri", &self.uri)
            .field("read_consistency_interval", &self.read_consistency_interval)
            .field("namespace_client", &self.namespace_client)
-            .field("server_side_query_enabled", &self.server_side_query_enabled)
            .finish()
    }
 }
@@ -1320,7 +1263,7 @@ impl NativeTable {
    /// * A [NativeTable] object.
    pub async fn open(uri: &str) -> Result<Self> {
        let name = Self::get_table_name(uri)?;
-        Self::open_with_params(uri, &name, vec![], None, None, None, None, false, None).await
+        Self::open_with_params(uri, &name, vec![], None, None, None, None).await
    }

    /// Opens an existing Table
@@ -1330,10 +1273,7 @@ impl NativeTable {
    /// * `base_path` - The base path where the table is located
    /// * `name` The Table name
    /// * `params` The [ReadParams] to use when opening the table
-    /// * `namespace_client` - Optional namespace client for namespace operations
-    /// * `server_side_query_enabled` - Whether to enable server-side query execution
-    /// * `managed_versioning` - Whether managed versioning is enabled. If None and namespace_client
-    ///   is provided, the value will be fetched via describe_table.
+    /// * `namespace_client` - Optional namespace client for server-side query execution
    ///
    /// # Returns
    ///
@@ -1347,8 +1287,6 @@ impl NativeTable {
        params: Option<ReadParams>,
        read_consistency_interval: Option<std::time::Duration>,
        namespace_client: Option<Arc<dyn LanceNamespace>>,
-        server_side_query_enabled: bool,
-        managed_versioning: Option<bool>,
    ) -> Result<Self> {
        let params = params.unwrap_or_default();
        // patch the params if we have a write store wrapper
@@ -1357,54 +1295,17 @@ impl NativeTable {
            None => params,
        };

-        // Build table_id from namespace + name
-        let mut table_id = namespace.clone();
-        table_id.push(name.to_string());
-
-        // Determine if managed_versioning is enabled
-        // Use the provided value if available, otherwise query the namespace
-        let managed_versioning = match managed_versioning {
-            Some(value) => value,
-            None if namespace_client.is_some() => {
-                let ns_client = namespace_client.as_ref().unwrap();
-                let describe_request = DescribeTableRequest {
-                    id: Some(table_id.clone()),
-                    ..Default::default()
-                };
-                let response = ns_client
-                    .describe_table(describe_request)
-                    .await
-                    .map_err(|e| Error::Runtime {
-                        message: format!(
-                            "Failed to describe table via namespace client: {}. \
-                             If you don't need managed versioning, don't pass namespace_client.",
-                            e
-                        ),
-                    })?;
-                response.managed_versioning == Some(true)
-            }
-            None => false,
-        };
-
-        let mut builder = DatasetBuilder::from_uri(uri).with_read_params(params);
-
-        // Set up commit handler when managed_versioning is enabled
-        if managed_versioning && let Some(ref ns_client) = namespace_client {
-            let external_store =
-                LanceNamespaceExternalManifestStore::new(ns_client.clone(), table_id.clone());
-            let commit_handler: Arc<dyn CommitHandler> = Arc::new(ExternalManifestCommitHandler {
-                external_manifest_store: Arc::new(external_store),
-            });
-            builder = builder.with_commit_handler(commit_handler);
-        }
-
-        let dataset = builder.load().await.map_err(|e| match e {
-            lance::Error::DatasetNotFound { .. } => Error::TableNotFound {
-                name: name.to_string(),
-                source: Box::new(e),
-            },
-            e => e.into(),
-        })?;
+        let dataset = DatasetBuilder::from_uri(uri)
+            .with_read_params(params)
+            .load()
+            .await
+            .map_err(|e| match e {
+                lance::Error::DatasetNotFound { .. } => Error::TableNotFound {
+                    name: name.to_string(),
+                    source: Box::new(e),
+                },
+                e => e.into(),
+            })?;

        let dataset = DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval);
        let id = Self::build_id(&namespace, name);
@@ -1417,7 +1318,6 @@ impl NativeTable {
            dataset,
            read_consistency_interval,
            namespace_client,
-            server_side_query_enabled,
        })
    }

@@ -1521,7 +1421,6 @@ impl NativeTable {
            dataset,
            read_consistency_interval,
            namespace_client: stored_namespace_client,
-            server_side_query_enabled,
        })
    }

@@ -1561,8 +1460,7 @@ impl NativeTable {
    /// * `namespace` - The namespace path. When non-empty, an explicit URI must be provided.
    /// * `batches` RecordBatch to be saved in the database.
    /// * `params` - Write parameters.
-    /// * `namespace_client` - Optional namespace client for namespace operations
-    /// * `server_side_query_enabled` - Whether to enable server-side query execution
+    /// * `namespace_client` - Optional namespace client for server-side query execution
    ///
    /// # Returns
    ///
@@ -1577,7 +1475,6 @@ impl NativeTable {
        params: Option<WriteParams>,
        read_consistency_interval: Option<std::time::Duration>,
        namespace_client: Option<Arc<dyn LanceNamespace>>,
-        server_side_query_enabled: bool,
    ) -> Result<Self> {
        // Default params uses format v1.
        let params = params.unwrap_or(WriteParams {
@@ -1610,7 +1507,6 @@ impl NativeTable {
            dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
            read_consistency_interval,
            namespace_client,
-            server_side_query_enabled,
        })
    }

@@ -1624,7 +1520,6 @@ impl NativeTable {
        params: Option<WriteParams>,
        read_consistency_interval: Option<std::time::Duration>,
        namespace_client: Option<Arc<dyn LanceNamespace>>,
-        server_side_query_enabled: bool,
    ) -> Result<Self> {
        let data: Box<dyn Scannable> = Box::new(RecordBatch::new_empty(schema));
        Self::create(
@@ -1636,7 +1531,6 @@ impl NativeTable {
            params,
            read_consistency_interval,
            namespace_client,
-            server_side_query_enabled,
        )
        .await
    }
@@ -1740,7 +1634,6 @@ impl NativeTable {
            dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
            read_consistency_interval,
            namespace_client: stored_namespace_client,
-            server_side_query_enabled,
        })
    }

@@ -2229,26 +2122,21 @@ impl BaseTable for NativeTable {

        let table_schema = Schema::from(&ds.schema().clone());

-        let num_partitions = if let Some(parallelism) = add.write_parallelism {
-            parallelism
+        // Peek at the first batch to estimate a good partition count for
+        // write parallelism.
+        let mut peeked = PeekedScannable::new(add.data);
+        let num_partitions = if let Some(first_batch) = peeked.peek().await {
+            let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
+            estimate_write_partitions(
+                first_batch.get_array_memory_size(),
+                first_batch.num_rows(),
+                peeked.num_rows(),
+                max_partitions,
+            )
        } else {
-            // Peek at the first batch to estimate a good partition count for
-            // write parallelism.
-            let mut peeked = PeekedScannable::new(add.data);
-            let n = if let Some(first_batch) = peeked.peek().await {
-                let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
-                estimate_write_partitions(
-                    first_batch.get_array_memory_size(),
-                    first_batch.num_rows(),
-                    peeked.num_rows(),
-                    max_partitions,
-                )
-            } else {
-                1
-            };
-            add.data = Box::new(peeked);
-            n
+            1
        };
+        add.data = Box::new(peeked);

        let output = add.into_plan(&table_schema, &table_def)?;

@@ -2277,21 +2165,13 @@ impl BaseTable for NativeTable {

        let insert_exec = Arc::new(InsertExec::new(ds_wrapper.clone(), ds, plan, lance_params));

-        let tracker_for_tasks = output.tracker.clone();
-        if let Some(ref t) = tracker_for_tasks {
-            t.set_total_tasks(num_partitions);
-        }
-        let _finish = write_progress::FinishOnDrop(output.tracker);
-
        // Execute all partitions in parallel.
        let task_ctx = Arc::new(TaskContext::default());
        let handles = FuturesUnordered::new();
        for partition in 0..num_partitions {
            let exec = insert_exec.clone();
            let ctx = task_ctx.clone();
-            let tracker = tracker_for_tasks.clone();
            handles.push(tokio::spawn(async move {
-                let _guard = tracker.as_ref().map(|t| t.track_task());
                let mut stream = exec
                    .execute(partition, ctx)
                    .map_err(|e| -> Error { e.into() })?;
@@ -2352,12 +2232,6 @@ 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
@@ -2751,7 +2625,7 @@ mod tests {
            vec![Ok(batch.clone())],
            batch.schema(),
        ));
-        let table = NativeTable::create(uri, "test", vec![], reader, None, None, None, None, false)
+        let table = NativeTable::create(uri, "test", vec![], reader, None, None, None, None)
            .await
            .unwrap();

--- a/rust/lancedb/src/table/add_data.rs
+++ b/rust/lancedb/src/table/add_data.rs
@@ -13,9 +13,6 @@ use crate::embeddings::EmbeddingRegistry;
 use crate::table::datafusion::cast::cast_to_table_schema;
 use crate::table::datafusion::reject_nan::reject_nan_vectors;
 use crate::table::datafusion::scannable_exec::ScannableExec;
-use crate::table::write_progress::ProgressCallback;
-use crate::table::write_progress::WriteProgress;
-use crate::table::write_progress::WriteProgressTracker;
 use crate::{Error, Result};

 use super::{BaseTable, TableDefinition, WriteOptions};
@@ -55,8 +52,6 @@ pub struct AddDataBuilder {
    pub(crate) write_options: WriteOptions,
    pub(crate) on_nan_vectors: NaNVectorBehavior,
    pub(crate) embedding_registry: Option<Arc<dyn EmbeddingRegistry>>,
-    pub(crate) progress_callback: Option<ProgressCallback>,
-    pub(crate) write_parallelism: Option<usize>,
 }

 impl std::fmt::Debug for AddDataBuilder {
@@ -82,8 +77,6 @@ impl AddDataBuilder {
            write_options: WriteOptions::default(),
            on_nan_vectors: NaNVectorBehavior::default(),
            embedding_registry,
-            progress_callback: None,
-            write_parallelism: None,
        }
    }

@@ -108,43 +101,7 @@ impl AddDataBuilder {
        self
    }

-    /// Set a callback to receive progress updates during the add operation.
-    ///
-    /// The callback is invoked once per batch written, and once more with
-    /// [`WriteProgress::done`] set to `true` when the write completes.
-    ///
-    /// ```
-    /// # use lancedb::Table;
-    /// # async fn example(table: &Table) -> Result<(), Box<dyn std::error::Error>> {
-    /// let batch = arrow_array::record_batch!(("id", Int32, [1, 2, 3])).unwrap();
-    /// table.add(batch)
-    ///     .progress(|p| println!("{}/{:?} rows", p.output_rows(), p.total_rows()))
-    ///     .execute()
-    ///     .await?;
-    /// # Ok(())
-    /// # }
-    /// ```
-    pub fn progress(mut self, callback: impl FnMut(&WriteProgress) + Send + 'static) -> Self {
-        self.progress_callback = Some(Arc::new(std::sync::Mutex::new(callback)));
-        self
-    }
-
-    /// Set the number of parallel write streams.
-    ///
-    /// By default, the number of streams is estimated from the data size.
-    /// Setting this to `1` disables parallel writes.
-    pub fn write_parallelism(mut self, parallelism: usize) -> Self {
-        self.write_parallelism = Some(parallelism);
-        self
-    }
-
    pub async fn execute(self) -> Result<AddResult> {
-        if self.write_parallelism.map(|p| p == 0).unwrap_or(false) {
-            return Err(Error::InvalidInput {
-                message: "write_parallelism must be greater than 0".to_string(),
-            });
-        }
-
        self.parent.clone().add(self).await
    }

@@ -173,11 +130,8 @@ impl AddDataBuilder {
            scannable_with_embeddings(self.data, table_def, self.embedding_registry.as_ref())?;

        let rescannable = self.data.rescannable();
-        let tracker = self
-            .progress_callback
-            .map(|cb| Arc::new(WriteProgressTracker::new(cb, self.data.num_rows())));
        let plan: Arc<dyn datafusion_physical_plan::ExecutionPlan> =
-            Arc::new(ScannableExec::new(self.data, tracker.clone()));
+            Arc::new(ScannableExec::new(self.data));
        // Skip casting when overwriting — the input schema replaces the table schema.
        let plan = if overwrite {
            plan
@@ -195,7 +149,6 @@ impl AddDataBuilder {
            rescannable,
            write_options: self.write_options,
            mode: self.mode,
-            tracker,
        })
    }
 }
@@ -208,7 +161,6 @@ pub struct PreprocessingOutput {
    pub rescannable: bool,
    pub write_options: WriteOptions,
    pub mode: AddDataMode,
-    pub tracker: Option<Arc<WriteProgressTracker>>,
 }

 /// Check that the input schema is valid for insert.
--- a/rust/lancedb/src/table/datafusion/cast.rs
+++ b/rust/lancedb/src/table/datafusion/cast.rs
@@ -3,13 +3,12 @@

 use std::sync::Arc;

-use arrow_cast::can_cast_types;
 use arrow_schema::{DataType, Field, FieldRef, Fields, Schema};
 use datafusion::functions::core::{get_field, named_struct};
 use datafusion_common::ScalarValue;
 use datafusion_common::config::ConfigOptions;
 use datafusion_physical_expr::ScalarFunctionExpr;
-use datafusion_physical_expr::expressions::{CastExpr, Literal};
+use datafusion_physical_expr::expressions::{Literal, cast};
 use datafusion_physical_plan::expressions::Column;
 use datafusion_physical_plan::projection::ProjectionExec;
 use datafusion_physical_plan::{ExecutionPlan, PhysicalExpr};
@@ -26,9 +25,12 @@ pub fn cast_to_table_schema(
        return Ok(input);
    }

-    let exprs = build_field_exprs(input_schema.fields(), table_schema.fields(), &|idx| {
-        Arc::new(Column::new(input_schema.field(idx).name(), idx)) as Arc<dyn PhysicalExpr>
-    })?;
+    let exprs = build_field_exprs(
+        input_schema.fields(),
+        table_schema.fields(),
+        &|idx| Arc::new(Column::new(input_schema.field(idx).name(), idx)) as Arc<dyn PhysicalExpr>,
+        &input_schema,
+    )?;

    let exprs: Vec<(Arc<dyn PhysicalExpr>, String)> = exprs
        .into_iter()
@@ -49,6 +51,7 @@ fn build_field_exprs(
    input_fields: &Fields,
    table_fields: &Fields,
    get_input_expr: &dyn Fn(usize) -> Arc<dyn PhysicalExpr>,
+    input_schema: &Schema,
 ) -> Result<Vec<(Arc<dyn PhysicalExpr>, FieldRef)>> {
    let config = Arc::new(ConfigOptions::default());
    let mut result = Vec::new();
@@ -69,19 +72,24 @@ fn build_field_exprs(
            (DataType::Struct(in_children), DataType::Struct(tbl_children))
                if in_children != tbl_children =>
            {
-                let sub_exprs = build_field_exprs(in_children, tbl_children, &|child_idx| {
-                    let child_name = in_children[child_idx].name();
-                    Arc::new(ScalarFunctionExpr::new(
-                        &format!("get_field({child_name})"),
-                        get_field(),
-                        vec![
-                            input_expr.clone(),
-                            Arc::new(Literal::new(ScalarValue::from(child_name.as_str()))),
-                        ],
-                        Arc::new(in_children[child_idx].as_ref().clone()),
-                        config.clone(),
-                    )) as Arc<dyn PhysicalExpr>
-                })?;
+                let sub_exprs = build_field_exprs(
+                    in_children,
+                    tbl_children,
+                    &|child_idx| {
+                        let child_name = in_children[child_idx].name();
+                        Arc::new(ScalarFunctionExpr::new(
+                            &format!("get_field({child_name})"),
+                            get_field(),
+                            vec![
+                                input_expr.clone(),
+                                Arc::new(Literal::new(ScalarValue::from(child_name.as_str()))),
+                            ],
+                            Arc::new(in_children[child_idx].as_ref().clone()),
+                            config.clone(),
+                        )) as Arc<dyn PhysicalExpr>
+                    },
+                    input_schema,
+                )?;

                let output_struct_fields: Fields = sub_exprs
                    .iter()
@@ -117,21 +125,17 @@ fn build_field_exprs(
            // Types match: pass through.
            (inp, tbl) if inp == tbl => input_expr,
            // Types differ: cast.
-            // safe: false (the default) means overflow/truncation errors surface at execution time.
-            (_, _) if can_cast_types(input_field.data_type(), table_field.data_type()) => Arc::new(
-                CastExpr::new(input_expr, table_field.data_type().clone(), None),
-            )
-                as Arc<dyn PhysicalExpr>,
-            (inp, tbl) => {
-                return Err(Error::InvalidInput {
+            _ => cast(input_expr, input_schema, table_field.data_type().clone()).map_err(|e| {
+                Error::InvalidInput {
                    message: format!(
-                        "cannot cast field '{}' from {} to {}",
+                        "cannot cast field '{}' from {} to {}: {}",
                        table_field.name(),
-                        inp,
-                        tbl,
+                        input_field.data_type(),
+                        table_field.data_type(),
+                        e
                    ),
-                });
-            }
+                }
+            })?,
        };

        let output_field = Arc::new(Field::new(
@@ -149,12 +153,10 @@ fn build_field_exprs(
 mod tests {
    use std::sync::Arc;

-    use arrow::buffer::OffsetBuffer;
    use arrow_array::{
-        Array, Float32Array, Float64Array, Int32Array, Int64Array, ListArray, RecordBatch,
-        StringArray, StructArray, UInt32Array, UInt64Array,
+        Float32Array, Float64Array, Int32Array, Int64Array, RecordBatch, StringArray, StructArray,
    };
-    use arrow_schema::{DataType, Field, Fields, Schema};
+    use arrow_schema::{DataType, Field, Schema};
    use datafusion::prelude::SessionContext;
    use datafusion_catalog::MemTable;
    use futures::TryStreamExt;
@@ -493,129 +495,4 @@ mod tests {
        assert_eq!(b.value(0), "hello");
        assert_eq!(b.value(1), "world");
    }
-
-    #[tokio::test]
-    async fn test_narrowing_numeric_cast_success() {
-        let input_batch = RecordBatch::try_new(
-            Arc::new(Schema::new(vec![Field::new("a", DataType::UInt64, false)])),
-            vec![Arc::new(UInt64Array::from(vec![1u64, 2, 3]))],
-        )
-        .unwrap();
-
-        let table_schema = Schema::new(vec![Field::new("a", DataType::UInt32, false)]);
-
-        let plan = plan_from_batch(input_batch).await;
-        let casted = cast_to_table_schema(plan, &table_schema).unwrap();
-        let result = collect(casted).await;
-
-        assert_eq!(result.schema().field(0).data_type(), &DataType::UInt32);
-        let a: &UInt32Array = result.column(0).as_any().downcast_ref().unwrap();
-        assert_eq!(a.values(), &[1u32, 2, 3]);
-    }
-
-    #[tokio::test]
-    async fn test_narrowing_numeric_cast_overflow_errors() {
-        let overflow_val = u32::MAX as u64 + 1;
-        let input_batch = RecordBatch::try_new(
-            Arc::new(Schema::new(vec![Field::new("a", DataType::UInt64, false)])),
-            vec![Arc::new(UInt64Array::from(vec![overflow_val]))],
-        )
-        .unwrap();
-
-        let table_schema = Schema::new(vec![Field::new("a", DataType::UInt32, false)]);
-
-        let plan = plan_from_batch(input_batch).await;
-        // Planning succeeds — the overflow is only detected at execution time.
-        let casted = cast_to_table_schema(plan, &table_schema).unwrap();
-
-        let ctx = SessionContext::new();
-        let stream = casted.execute(0, ctx.task_ctx()).unwrap();
-        let result: Result<Vec<RecordBatch>, _> = stream.try_collect().await;
-        assert!(result.is_err(), "expected overflow error at execution time");
-    }
-
-    #[tokio::test]
-    async fn test_list_struct_field_reorder() {
-        // list<struct<a: Int32, b: Int32>> → list<struct<b: Int64, a: Int64>>
-        // Tests both reordering (a,b → b,a) and element-type widening (Int32 → Int64).
-        let inner_fields: Fields = vec![
-            Field::new("a", DataType::Int32, true),
-            Field::new("b", DataType::Int32, true),
-        ]
-        .into();
-        let struct_array = StructArray::from(vec![
-            (
-                Arc::new(inner_fields[0].as_ref().clone()),
-                Arc::new(Int32Array::from(vec![1, 3])) as _,
-            ),
-            (
-                Arc::new(inner_fields[1].as_ref().clone()),
-                Arc::new(Int32Array::from(vec![2, 4])) as _,
-            ),
-        ]);
-        // Offsets: one list element containing two struct rows (0..2).
-        let offsets = OffsetBuffer::from_lengths(vec![2]);
-        let list_array = ListArray::try_new(
-            Arc::new(Field::new("item", DataType::Struct(inner_fields), true)),
-            offsets,
-            Arc::new(struct_array),
-            None,
-        )
-        .unwrap();
-        let input_batch = RecordBatch::try_new(
-            Arc::new(Schema::new(vec![Field::new(
-                "s_list",
-                list_array.data_type().clone(),
-                false,
-            )])),
-            vec![Arc::new(list_array)],
-        )
-        .unwrap();
-
-        let table_inner: Fields = vec![
-            Field::new("b", DataType::Int64, true),
-            Field::new("a", DataType::Int64, true),
-        ]
-        .into();
-        let table_schema = Schema::new(vec![Field::new(
-            "s_list",
-            DataType::List(Arc::new(Field::new(
-                "item",
-                DataType::Struct(table_inner),
-                true,
-            ))),
-            false,
-        )]);
-
-        let plan = plan_from_batch(input_batch).await;
-        let casted = cast_to_table_schema(plan, &table_schema).unwrap();
-        let result = collect(casted).await;
-
-        let list_col = result
-            .column(0)
-            .as_any()
-            .downcast_ref::<ListArray>()
-            .unwrap();
-        let struct_col = list_col
-            .values()
-            .as_any()
-            .downcast_ref::<StructArray>()
-            .unwrap();
-        assert_eq!(struct_col.num_columns(), 2);
-
-        let b: &Int64Array = struct_col
-            .column_by_name("b")
-            .unwrap()
-            .as_any()
-            .downcast_ref()
-            .unwrap();
-        assert_eq!(b.values(), &[2, 4]);
-        let a: &Int64Array = struct_col
-            .column_by_name("a")
-            .unwrap()
-            .as_any()
-            .downcast_ref()
-            .unwrap();
-        assert_eq!(a.values(), &[1, 3]);
-    }
 }
--- a/rust/lancedb/src/table/datafusion/insert.rs
+++ b/rust/lancedb/src/table/datafusion/insert.rs
@@ -12,16 +12,13 @@ use datafusion_common::{DataFusionError, Result as DataFusionResult};
 use datafusion_execution::{SendableRecordBatchStream, TaskContext};
 use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
 use datafusion_physical_plan::execution_plan::{Boundedness, EmissionType};
-use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricBuilder, MetricsSet};
 use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
 use datafusion_physical_plan::{
    DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
 };
-use futures::TryStreamExt;
 use lance::Dataset;
 use lance::dataset::transaction::{Operation, Transaction};
 use lance::dataset::{CommitBuilder, InsertBuilder, WriteParams};
-use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;
 use lance_table::format::Fragment;

 use crate::table::dataset::DatasetConsistencyWrapper;
@@ -83,7 +80,6 @@ pub struct InsertExec {
    write_params: WriteParams,
    properties: PlanProperties,
    partial_transactions: Arc<Mutex<Vec<Transaction>>>,
-    metrics: ExecutionPlanMetricsSet,
 }

 impl InsertExec {
@@ -109,7 +105,6 @@ impl InsertExec {
            write_params,
            properties,
            partial_transactions: Arc::new(Mutex::new(Vec::with_capacity(num_partitions))),
-            metrics: ExecutionPlanMetricsSet::new(),
        }
    }
 }
@@ -181,19 +176,6 @@ impl ExecutionPlan for InsertExec {
        let total_partitions = self.input.output_partitioning().partition_count();
        let ds_wrapper = self.ds_wrapper.clone();

-        let output_bytes = MetricBuilder::new(&self.metrics).output_bytes(partition);
-        let input_schema = input_stream.schema();
-        let input_stream: SendableRecordBatchStream =
-            Box::pin(InstrumentedRecordBatchStreamAdapter::new(
-                input_schema,
-                input_stream.map_ok(move |batch| {
-                    output_bytes.add(batch.get_array_memory_size());
-                    batch
-                }),
-                partition,
-                &self.metrics,
-            ));
-
        let stream = futures::stream::once(async move {
            let transaction = InsertBuilder::new(dataset.clone())
                .with_params(&write_params)
@@ -233,10 +215,6 @@ impl ExecutionPlan for InsertExec {
            stream,
        )))
    }
-
-    fn metrics(&self) -> Option<MetricsSet> {
-        Some(self.metrics.clone_inner())
-    }
 }

 #[cfg(test)]
--- a/rust/lancedb/src/table/datafusion/scannable_exec.rs
+++ b/rust/lancedb/src/table/datafusion/scannable_exec.rs
@@ -7,21 +7,17 @@ use std::sync::{Arc, Mutex};
 use datafusion_common::{DataFusionError, Result as DFResult, Statistics, stats::Precision};
 use datafusion_execution::{SendableRecordBatchStream, TaskContext};
 use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
-use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
 use datafusion_physical_plan::{
    DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties, execution_plan::EmissionType,
 };
-use futures::TryStreamExt;

-use crate::table::write_progress::WriteProgressTracker;
 use crate::{arrow::SendableRecordBatchStreamExt, data::scannable::Scannable};

-pub(crate) struct ScannableExec {
-    // We don't require Scannable to be Sync, so we wrap it in a Mutex to allow safe concurrent access.
+pub struct ScannableExec {
+    // We don't require Scannable to by Sync, so we wrap it in a Mutex to allow safe concurrent access.
    source: Mutex<Box<dyn Scannable>>,
    num_rows: Option<usize>,
    properties: PlanProperties,
-    tracker: Option<Arc<WriteProgressTracker>>,
 }

 impl std::fmt::Debug for ScannableExec {
@@ -34,7 +30,7 @@ impl std::fmt::Debug for ScannableExec {
 }

 impl ScannableExec {
-    pub fn new(source: Box<dyn Scannable>, tracker: Option<Arc<WriteProgressTracker>>) -> Self {
+    pub fn new(source: Box<dyn Scannable>) -> Self {
        let schema = source.schema();
        let eq_properties = EquivalenceProperties::new(schema);
        let properties = PlanProperties::new(
@@ -50,7 +46,6 @@ impl ScannableExec {
            source,
            num_rows,
            properties,
-            tracker,
        }
    }
 }
@@ -107,18 +102,7 @@ impl ExecutionPlan for ScannableExec {
            Err(poison) => poison.into_inner().scan_as_stream(),
        };

-        let tracker = self.tracker.clone();
-        let stream = stream.into_df_stream().map_ok(move |batch| {
-            if let Some(ref t) = tracker {
-                t.record_batch(batch.num_rows(), batch.get_array_memory_size());
-            }
-            batch
-        });
-
-        Ok(Box::pin(RecordBatchStreamAdapter::new(
-            self.schema(),
-            stream,
-        )))
+        Ok(stream.into_df_stream())
    }

    fn partition_statistics(&self, _partition: Option<usize>) -> DFResult<Statistics> {
--- a/rust/lancedb/src/table/delete.rs
+++ b/rust/lancedb/src/table/delete.rs
@@ -1,4 +1,3 @@
-use futures::FutureExt;
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors
 use serde::{Deserialize, Serialize};
@@ -24,7 +23,7 @@ pub struct DeleteResult {
 pub(crate) async fn execute_delete(table: &NativeTable, predicate: &str) -> Result<DeleteResult> {
    table.dataset.ensure_mutable()?;
    let mut dataset = (*table.dataset.get().await?).clone();
-    let delete_result = dataset.delete(predicate).boxed().await?;
+    let delete_result = dataset.delete(predicate).await?;
    let num_deleted_rows = delete_result.num_deleted_rows;
    let version = dataset.version().version;
    table.dataset.update(dataset);
--- a/rust/lancedb/src/table/optimize.rs
+++ b/rust/lancedb/src/table/optimize.rs
@@ -64,9 +64,6 @@ pub enum OptimizeAction {
        older_than: Option<Duration>,
        /// Because they may be part of an in-progress transaction, files newer than 7 days old are not deleted by default.
        /// If you are sure that there are no in-progress transactions, then you can set this to True to delete all files older than `older_than`.
-        ///
-        /// **WARNING**: This should only be set to true if you can guarantee that no other process is
-        /// currently working on this dataset.  Otherwise the dataset could be put into a corrupted state.
        delete_unverified: Option<bool>,
        /// If true, an error will be returned if there are any old versions that are still tagged.
        error_if_tagged_old_versions: Option<bool>,
@@ -120,10 +117,6 @@ pub(crate) async fn optimize_indices(table: &NativeTable, options: &OptimizeOpti
 ///   If you are sure that there are no in-progress transactions, then you
 ///   can set this to True to delete all files older than `older_than`.
 ///
-///   **WARNING**: This should only be set to true if you can guarantee that
-///   no other process is currently working on this dataset.  Otherwise the
-///   dataset could be put into a corrupted state.
-///
 /// This calls into [lance::dataset::Dataset::cleanup_old_versions] and
 /// returns the result.
 pub(crate) async fn cleanup_old_versions(
--- a/rust/lancedb/src/table/query.rs
+++ b/rust/lancedb/src/table/query.rs
@@ -40,10 +40,8 @@ pub async fn execute_query(
    query: &AnyQuery,
    options: QueryExecutionOptions,
 ) -> Result<DatasetRecordBatchStream> {
-    // If server-side query is enabled and namespace client is configured, use server-side query execution
-    if table.server_side_query_enabled
-        && let Some(ref namespace_client) = table.namespace_client
-    {
+    // If namespace client is configured, use server-side query execution
+    if let Some(ref namespace_client) = table.namespace_client {
        return execute_namespace_query(table, namespace_client.clone(), query, options).await;
    }
    execute_generic_query(table, query, options).await
@@ -186,13 +184,6 @@ pub async fn create_plan(
        Select::Dynamic(ref select_with_transform) => {
            scanner.project_with_transform(select_with_transform.as_slice())?;
        }
-        Select::Expr(ref expr_pairs) => {
-            let sql_pairs: crate::Result<Vec<(String, String)>> = expr_pairs
-                .iter()
-                .map(|(name, expr)| expr_to_sql_string(expr).map(|sql| (name.clone(), sql)))
-                .collect();
-            scanner.project_with_transform(sql_pairs?.as_slice())?;
-        }
        Select::All => {}
    }

@@ -347,17 +338,6 @@ fn convert_to_namespace_query(query: &AnyQuery) -> Result<NsQueryTableRequest> {
                                .to_string(),
                    });
                }
-                Select::Expr(pairs) => {
-                    let sql_pairs: crate::Result<Vec<(String, String)>> = pairs
-                        .iter()
-                        .map(|(name, expr)| expr_to_sql_string(expr).map(|sql| (name.clone(), sql)))
-                        .collect();
-                    let sql_pairs = sql_pairs?;
-                    Some(Box::new(QueryTableRequestColumns {
-                        column_names: None,
-                        column_aliases: Some(sql_pairs.into_iter().collect()),
-                    }))
-                }
            };

            // Check for unsupported features
@@ -429,17 +409,6 @@ fn convert_to_namespace_query(query: &AnyQuery) -> Result<NsQueryTableRequest> {
                            .to_string(),
                    });
                }
-                Select::Expr(pairs) => {
-                    let sql_pairs: crate::Result<Vec<(String, String)>> = pairs
-                        .iter()
-                        .map(|(name, expr)| expr_to_sql_string(expr).map(|sql| (name.clone(), sql)))
-                        .collect();
-                    let sql_pairs = sql_pairs?;
-                    Some(Box::new(QueryTableRequestColumns {
-                        column_names: None,
-                        column_aliases: Some(sql_pairs.into_iter().collect()),
-                    }))
-                }
            };

            // Handle full text search if present
--- a/rust/lancedb/src/table/write_progress.rs
+++ b/rust/lancedb/src/table/write_progress.rs
@@ -1,379 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Progress monitoring for write operations.
-//!
-//! You can add a callback to process progress in [`crate::table::AddDataBuilder::progress`].
-//! [`WriteProgress`] is the struct passed to the callback.
-
-use std::sync::atomic::{AtomicUsize, Ordering};
-use std::sync::{Arc, Mutex};
-use std::time::{Duration, Instant};
-
-/// Progress snapshot for a write operation.
-#[derive(Debug, Clone)]
-pub struct WriteProgress {
-    // These are private and only accessible via getters, to make it easy to add
-    // new fields without breaking existing callbacks.
-    elapsed: Duration,
-    output_rows: usize,
-    output_bytes: usize,
-    total_rows: Option<usize>,
-    active_tasks: usize,
-    total_tasks: usize,
-    done: bool,
-}
-
-impl WriteProgress {
-    /// Wall-clock time since monitoring started.
-    pub fn elapsed(&self) -> Duration {
-        self.elapsed
-    }
-
-    /// Number of rows written so far.
-    pub fn output_rows(&self) -> usize {
-        self.output_rows
-    }
-
-    /// Number of bytes written so far.
-    pub fn output_bytes(&self) -> usize {
-        self.output_bytes
-    }
-
-    /// Total rows expected.
-    ///
-    /// Populated when the input source reports a row count (e.g. a
-    /// [`arrow_array::RecordBatch`]).  Always `Some` when [`WriteProgress::done`]
-    /// is `true` — falling back to the actual number of rows written.
-    pub fn total_rows(&self) -> Option<usize> {
-        self.total_rows
-    }
-
-    /// Number of parallel write tasks currently in flight.
-    pub fn active_tasks(&self) -> usize {
-        self.active_tasks
-    }
-
-    /// Total number of parallel write tasks (i.e. the write parallelism).
-    pub fn total_tasks(&self) -> usize {
-        self.total_tasks
-    }
-
-    /// Whether the write operation has completed.
-    ///
-    /// The final callback always has `done = true`.  Callers can use this to
-    /// finalize progress bars or perform cleanup.
-    pub fn done(&self) -> bool {
-        self.done
-    }
-}
-
-/// Callback type for progress updates.
-///
-/// Callbacks are serialized by the tracker and are never invoked reentrantly,
-/// so `FnMut` is safe to use here.
-pub type ProgressCallback = Arc<Mutex<dyn FnMut(&WriteProgress) + Send>>;
-
-/// Tracks progress of a write operation and invokes a [`ProgressCallback`].
-///
-/// Call [`WriteProgressTracker::record_batch`] for each batch written.
-/// Call [`WriteProgressTracker::finish`] once after all data is written.
-///
-/// The callback is never invoked reentrantly: all state updates and callback
-/// invocations are serialized behind a single lock.
-impl std::fmt::Debug for WriteProgressTracker {
-    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
-        f.debug_struct("WriteProgressTracker")
-            .field("total_rows", &self.total_rows)
-            .finish()
-    }
-}
-
-pub(crate) struct WriteProgressTracker {
-    rows_and_bytes: std::sync::Mutex<(usize, usize)>,
-    /// Wire bytes tracked separately by the insert layer. When set (> 0),
-    /// this takes precedence over the in-memory bytes from `rows_and_bytes`.
-    wire_bytes: AtomicUsize,
-    active_tasks: Arc<AtomicUsize>,
-    total_tasks: AtomicUsize,
-    start: Instant,
-    /// Known total rows from the input source, if available.
-    total_rows: Option<usize>,
-    callback: ProgressCallback,
-}
-
-impl WriteProgressTracker {
-    pub fn new(callback: ProgressCallback, total_rows: Option<usize>) -> Self {
-        Self {
-            rows_and_bytes: std::sync::Mutex::new((0, 0)),
-            wire_bytes: AtomicUsize::new(0),
-            active_tasks: Arc::new(AtomicUsize::new(0)),
-            total_tasks: AtomicUsize::new(1),
-            start: Instant::now(),
-            total_rows,
-            callback,
-        }
-    }
-
-    /// Set the total number of parallel write tasks (the write parallelism).
-    pub fn set_total_tasks(&self, n: usize) {
-        self.total_tasks.store(n, Ordering::Relaxed);
-    }
-
-    /// Increment the active task count. Returns a guard that decrements on drop.
-    pub fn track_task(&self) -> ActiveTaskGuard {
-        self.active_tasks.fetch_add(1, Ordering::Relaxed);
-        ActiveTaskGuard(self.active_tasks.clone())
-    }
-
-    /// Record a batch of rows passing through the scan node.
-    pub fn record_batch(&self, rows: usize, bytes: usize) {
-        // Lock order: callback first, then rows_and_bytes. This is the only
-        // order used anywhere, so deadlocks cannot occur.
-        let mut cb = self.callback.lock().unwrap();
-        let mut guard = self.rows_and_bytes.lock().unwrap();
-        guard.0 += rows;
-        guard.1 += bytes;
-        let progress = self.snapshot(guard.0, guard.1, false);
-        drop(guard);
-        cb(&progress);
-    }
-
-    /// Record wire bytes from the insert layer (e.g. IPC-encoded bytes for
-    /// remote writes). When wire bytes are recorded, they take precedence over
-    /// the in-memory Arrow bytes tracked by [`record_batch`].
-    pub fn record_bytes(&self, bytes: usize) {
-        self.wire_bytes.fetch_add(bytes, Ordering::Relaxed);
-    }
-
-    /// Emit the final progress callback indicating the write is complete.
-    ///
-    /// `total_rows` is always `Some` on the final callback: it uses the known
-    /// total if available, or falls back to the number of rows actually written.
-    pub fn finish(&self) {
-        let mut cb = self.callback.lock().unwrap();
-        let guard = self.rows_and_bytes.lock().unwrap();
-        let mut snap = self.snapshot(guard.0, guard.1, true);
-        snap.total_rows = Some(self.total_rows.unwrap_or(guard.0));
-        drop(guard);
-        cb(&snap);
-    }
-
-    fn snapshot(&self, rows: usize, in_memory_bytes: usize, done: bool) -> WriteProgress {
-        let wire = self.wire_bytes.load(Ordering::Relaxed);
-        // Prefer wire bytes (actual I/O size) when the insert layer is
-        // tracking them; fall back to in-memory Arrow size otherwise.
-        // TODO: for local writes, track actual bytes written by Lance
-        // instead of using in-memory Arrow size as a proxy.
-        let output_bytes = if wire > 0 { wire } else { in_memory_bytes };
-        WriteProgress {
-            elapsed: self.start.elapsed(),
-            output_rows: rows,
-            output_bytes,
-            total_rows: self.total_rows,
-            active_tasks: self.active_tasks.load(Ordering::Relaxed),
-            total_tasks: self.total_tasks.load(Ordering::Relaxed),
-            done,
-        }
-    }
-}
-
-/// RAII guard that decrements the active task count when dropped.
-pub(crate) struct ActiveTaskGuard(Arc<AtomicUsize>);
-
-impl Drop for ActiveTaskGuard {
-    fn drop(&mut self) {
-        self.0.fetch_sub(1, Ordering::Relaxed);
-    }
-}
-
-/// RAII guard that calls [`WriteProgressTracker::finish`] on drop.
-///
-/// This ensures the final `done=true` callback fires even if the write
-/// errors or the future is cancelled.
-pub(crate) struct FinishOnDrop(pub Option<Arc<WriteProgressTracker>>);
-
-impl Drop for FinishOnDrop {
-    fn drop(&mut self) {
-        if let Some(t) = self.0.take() {
-            t.finish();
-        }
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use std::sync::Arc;
-    use std::sync::atomic::{AtomicUsize, Ordering};
-
-    use arrow_array::record_batch;
-
-    use crate::connect;
-
-    #[tokio::test]
-    async fn test_progress_monitor_fires_callback() {
-        let db = connect("memory://").execute().await.unwrap();
-
-        let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
-        let table = db
-            .create_table("progress_test", batch)
-            .execute()
-            .await
-            .unwrap();
-
-        let callback_count = Arc::new(AtomicUsize::new(0));
-        let last_rows = Arc::new(AtomicUsize::new(0));
-        let max_active = Arc::new(AtomicUsize::new(0));
-        let last_total_tasks = Arc::new(AtomicUsize::new(0));
-        let cb_count = callback_count.clone();
-        let cb_rows = last_rows.clone();
-        let cb_active = max_active.clone();
-        let cb_total_tasks = last_total_tasks.clone();
-
-        let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
-        table
-            .add(new_data)
-            .progress(move |p| {
-                cb_count.fetch_add(1, Ordering::SeqCst);
-                cb_rows.store(p.output_rows(), Ordering::SeqCst);
-                cb_active.fetch_max(p.active_tasks(), Ordering::SeqCst);
-                cb_total_tasks.store(p.total_tasks(), Ordering::SeqCst);
-            })
-            .execute()
-            .await
-            .unwrap();
-
-        assert_eq!(table.count_rows(None).await.unwrap(), 6);
-        assert!(callback_count.load(Ordering::SeqCst) >= 1);
-        // Progress tracks the newly inserted rows, not the total table size.
-        assert_eq!(last_rows.load(Ordering::SeqCst), 3);
-        // At least one callback should have seen an active task.
-        assert!(max_active.load(Ordering::SeqCst) >= 1);
-        // total_tasks should reflect the write parallelism.
-        assert!(last_total_tasks.load(Ordering::SeqCst) >= 1);
-    }
-
-    #[tokio::test]
-    async fn test_progress_done_fires_at_end() {
-        let db = connect("memory://").execute().await.unwrap();
-        let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
-        let table = db
-            .create_table("progress_done", batch)
-            .execute()
-            .await
-            .unwrap();
-
-        let seen_done = Arc::new(std::sync::Mutex::new(Vec::<bool>::new()));
-        let seen = seen_done.clone();
-
-        let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
-        table
-            .add(new_data)
-            .progress(move |p| {
-                seen.lock().unwrap().push(p.done());
-            })
-            .execute()
-            .await
-            .unwrap();
-
-        let done_flags = seen_done.lock().unwrap();
-        assert!(!done_flags.is_empty(), "at least one callback must fire");
-        // Only the last callback should have done=true.
-        let last = *done_flags.last().unwrap();
-        assert!(last, "last callback must have done=true");
-        // All earlier callbacks should have done=false.
-        for &d in done_flags.iter().rev().skip(1) {
-            assert!(!d, "non-final callbacks must have done=false");
-        }
-    }
-
-    #[tokio::test]
-    async fn test_progress_total_rows_known() {
-        let db = connect("memory://").execute().await.unwrap();
-
-        let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
-        let table = db
-            .create_table("total_known", batch)
-            .execute()
-            .await
-            .unwrap();
-
-        let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
-        let seen = seen_total.clone();
-
-        // RecordBatch implements Scannable with num_rows() -> Some(3)
-        let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
-        table
-            .add(new_data)
-            .progress(move |p| {
-                seen.lock().unwrap().push(p.total_rows());
-            })
-            .execute()
-            .await
-            .unwrap();
-
-        let totals = seen_total.lock().unwrap();
-        // All callbacks (including done) should have total_rows = Some(3)
-        assert!(
-            totals.contains(&Some(3)),
-            "expected total_rows=Some(3) in at least one callback, got: {:?}",
-            *totals
-        );
-    }
-
-    #[tokio::test]
-    async fn test_progress_total_rows_unknown() {
-        use arrow_array::RecordBatchIterator;
-
-        let db = connect("memory://").execute().await.unwrap();
-
-        let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
-        let table = db
-            .create_table("total_unknown", batch)
-            .execute()
-            .await
-            .unwrap();
-
-        let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
-        let seen = seen_total.clone();
-
-        // RecordBatchReader does not provide num_rows, so total_rows should be
-        // None in intermediate callbacks but always Some on the done callback.
-        let schema = arrow_schema::Schema::new(vec![arrow_schema::Field::new(
-            "id",
-            arrow_schema::DataType::Int32,
-            false,
-        )]);
-        let new_data: Box<dyn arrow_array::RecordBatchReader + Send> =
-            Box::new(RecordBatchIterator::new(
-                vec![Ok(record_batch!(("id", Int32, [4, 5, 6])).unwrap())],
-                Arc::new(schema),
-            ));
-        table
-            .add(new_data)
-            .progress(move |p| {
-                seen.lock().unwrap().push((p.total_rows(), p.done()));
-            })
-            .execute()
-            .await
-            .unwrap();
-
-        let entries = seen_total.lock().unwrap();
-        assert!(!entries.is_empty(), "at least one callback must fire");
-        for (total, done) in entries.iter() {
-            if *done {
-                assert!(
-                    total.is_some(),
-                    "done callback must have total_rows set, got: {:?}",
-                    total
-                );
-            } else {
-                assert_eq!(
-                    *total, None,
-                    "intermediate callback must have total_rows=None, got: {:?}",
-                    total
-                );
-            }
-        }
-    }
-}