Bump version: 0.27.0-beta.2 → 0.27.0-beta.3

2026-03-26 02:20:40 +00:00 · 2026-02-28 01:30:15 +00:00
123 changed files with 769 additions and 2188 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.27.0-beta.4"
+current_version = "0.27.0-beta.3"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/.github/workflows/build_linux_wheel/action.yml
+++ b/.github/workflows/build_linux_wheel/action.yml
@@ -29,7 +29,6 @@ runs:
      if: ${{ inputs.arm-build == 'false' }}
      uses: PyO3/maturin-action@v1
      with:
-        maturin-version: "1.12.4"
        command: build
        working-directory: python
        docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
@@ -45,7 +44,6 @@ runs:
      if: ${{ inputs.arm-build == 'true' }}
      uses: PyO3/maturin-action@v1
      with:
-        maturin-version: "1.12.4"
        command: build
        working-directory: python
        docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
--- a/.github/workflows/build_mac_wheel/action.yml
+++ b/.github/workflows/build_mac_wheel/action.yml
@@ -20,7 +20,6 @@ runs:
      uses: PyO3/maturin-action@v1
      with:
        command: build
-        maturin-version: "1.12.4"
        # TODO: pass through interpreter
        args: ${{ inputs.args }}
        docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
--- a/.github/workflows/build_windows_wheel/action.yml
+++ b/.github/workflows/build_windows_wheel/action.yml
@@ -25,7 +25,6 @@ runs:
      uses: PyO3/maturin-action@v1
      with:
        command: build
-        maturin-version: "1.12.4"
        args: ${{ inputs.args }}
        docker-options: "-e PIP_EXTRA_INDEX_URL='https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/'"
        working-directory: python
--- a/.github/workflows/npm-publish.yml
+++ b/.github/workflows/npm-publish.yml
@@ -356,8 +356,7 @@ jobs:
          if [[ $DRY_RUN == "true" ]]; then
            ARGS="$ARGS --dry-run"
          fi
-          VERSION=$(node -p "require('./package.json').version")
-          if [[ $VERSION == *-* ]]; then
+          if [[ $GITHUB_REF =~ refs/tags/v(.*)-beta.* ]]; then
            ARGS="$ARGS --tag preview"
          fi
          npm publish $ARGS
--- a/.github/workflows/python.yml
+++ b/.github/workflows/python.yml
@@ -10,10 +10,6 @@ on:
      - python/**
      - rust/**
      - .github/workflows/python.yml
-      - .github/workflows/build_linux_wheel/**
-      - .github/workflows/build_mac_wheel/**
-      - .github/workflows/build_windows_wheel/**
-      - .github/workflows/run_tests/**

 concurrency:
  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -3088,8 +3088,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"

 [[package]]
 name = "fsst"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-array",
 "rand 0.9.2",
@@ -4260,8 +4260,8 @@ dependencies = [

 [[package]]
 name = "lance"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -4315,7 +4315,7 @@ dependencies = [
 "semver",
 "serde",
 "serde_json",
- "snafu 0.9.0",
+ "snafu",
 "tantivy",
 "tokio",
 "tokio-stream",
@@ -4327,8 +4327,8 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4338,7 +4338,6 @@ dependencies = [
 "arrow-schema",
 "arrow-select",
 "bytes",
- "futures",
 "getrandom 0.2.16",
 "half",
 "jsonb",
@@ -4348,8 +4347,8 @@ dependencies = [

 [[package]]
 name = "lance-bitpacking"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrayref",
 "paste",
@@ -4358,8 +4357,8 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4385,7 +4384,7 @@ dependencies = [
 "rand 0.9.2",
 "roaring",
 "serde_json",
- "snafu 0.9.0",
+ "snafu",
 "tempfile",
 "tokio",
 "tokio-stream",
@@ -4396,8 +4395,8 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4420,15 +4419,15 @@ dependencies = [
 "pin-project",
 "prost",
 "prost-build",
- "snafu 0.9.0",
+ "snafu",
 "tokio",
 "tracing",
 ]

 [[package]]
 name = "lance-datagen"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4446,8 +4445,8 @@ dependencies = [

 [[package]]
 name = "lance-encoding"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -4474,7 +4473,7 @@ dependencies = [
 "prost-build",
 "prost-types",
 "rand 0.9.2",
- "snafu 0.9.0",
+ "snafu",
 "strum",
 "tokio",
 "tracing",
@@ -4484,8 +4483,8 @@ dependencies = [

 [[package]]
 name = "lance-file"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -4510,15 +4509,15 @@ dependencies = [
 "prost",
 "prost-build",
 "prost-types",
- "snafu 0.9.0",
+ "snafu",
 "tokio",
 "tracing",
 ]

 [[package]]
 name = "lance-index"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -4570,7 +4569,7 @@ dependencies = [
 "serde",
 "serde_json",
 "smallvec",
- "snafu 0.9.0",
+ "snafu",
 "tantivy",
 "tempfile",
 "tokio",
@@ -4581,8 +4580,8 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -4614,7 +4613,7 @@ dependencies = [
 "prost",
 "rand 0.9.2",
 "serde",
- "snafu 0.9.0",
+ "snafu",
 "tempfile",
 "tokio",
 "tracing",
@@ -4623,8 +4622,8 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4640,21 +4639,21 @@ dependencies = [

 [[package]]
 name = "lance-namespace"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "async-trait",
 "bytes",
 "lance-core",
 "lance-namespace-reqwest-client",
- "snafu 0.9.0",
+ "snafu",
 ]

 [[package]]
 name = "lance-namespace-impls"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-ipc",
@@ -4676,7 +4675,7 @@ dependencies = [
 "reqwest",
 "serde",
 "serde_json",
- "snafu 0.9.0",
+ "snafu",
 "tokio",
 "tower",
 "tower-http 0.5.2",
@@ -4698,8 +4697,8 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4729,7 +4728,7 @@ dependencies = [
 "semver",
 "serde",
 "serde_json",
- "snafu 0.9.0",
+ "snafu",
 "tokio",
 "tracing",
 "url",
@@ -4738,8 +4737,8 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "3.0.0-rc.3"
-source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.3#de393a26a068dd297929ca7d798e43dc31c57337"
+version = "3.0.0-rc.2"
+source = "git+https://github.com/lance-format/lance.git?tag=v3.0.0-rc.2#3fb3e705b8a25ab1bb0fc9e1e0158e8a13356181"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -4750,7 +4749,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.27.0-beta.4"
+version = "0.27.0-beta.2"
 dependencies = [
 "ahash",
 "anyhow",
@@ -4820,7 +4819,7 @@ dependencies = [
 "serde",
 "serde_json",
 "serde_with",
- "snafu 0.8.9",
+ "snafu",
 "tempfile",
 "test-log",
 "tokenizers",
@@ -4832,7 +4831,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.27.0-beta.4"
+version = "0.27.0-beta.2"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4852,25 +4851,21 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.30.0-beta.4"
+version = "0.30.0-beta.2"
 dependencies = [
 "arrow",
 "async-trait",
- "bytes",
 "env_logger",
 "futures",
 "lance-core",
 "lance-io",
 "lance-namespace",
- "lance-namespace-impls",
 "lancedb",
 "pin-project",
 "pyo3",
 "pyo3-async-runtimes",
 "pyo3-build-config",
- "serde",
- "serde_json",
- "snafu 0.8.9",
+ "snafu",
 "tokio",
 ]

@@ -7782,16 +7777,7 @@ version = "0.8.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "6e84b3f4eacbf3a1ce05eac6763b4d629d60cbc94d632e4092c54ade71f1e1a2"
 dependencies = [
- "snafu-derive 0.8.9",
-]
-
-[[package]]
-name = "snafu"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d1d4bced6a69f90b2056c03dcff2c4737f98d6fb9e0853493996e1d253ca29c6"
-dependencies = [
- "snafu-derive 0.9.0",
+ "snafu-derive",
 ]

 [[package]]
@@ -7806,18 +7792,6 @@ dependencies = [
 "syn 2.0.114",
 ]

-[[package]]
-name = "snafu-derive"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "54254b8531cafa275c5e096f62d48c81435d1015405a91198ddb11e967301d40"
-dependencies = [
- "heck 0.4.1",
- "proc-macro2",
- "quote",
- "syn 2.0.114",
-]
-
 [[package]]
 name = "socket2"
 version = "0.5.10"
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -5,7 +5,7 @@ exclude = ["python"]
 resolver = "2"

 [workspace.package]
-edition = "2024"
+edition = "2021"
 authors = ["LanceDB Devs <dev@lancedb.com>"]
 license = "Apache-2.0"
 repository = "https://github.com/lancedb/lancedb"
@@ -15,20 +15,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=3.0.0-rc.3", default-features = false, "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=3.0.0-rc.3", default-features = false, "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=3.0.0-rc.3", default-features = false, "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=3.0.0-rc.3", "tag" = "v3.0.0-rc.3", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=3.0.0-rc.2", default-features = false, "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=3.0.0-rc.2", "tag" = "v3.0.0-rc.2", "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/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/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>0.27.0-beta.4</version>
+    <version>0.27.0-beta.3</version>
 </dependency>
 ```

--- a/docs/src/js/interfaces/DeleteResult.md
+++ b/docs/src/js/interfaces/DeleteResult.md
@@ -8,14 +8,6 @@

 ## Properties

-### numDeletedRows
-
-```ts
-numDeletedRows: number;
-```
-
-***
-
 ### version

 ```ts
--- 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>0.27.0-beta.4</version>
+      <version>0.27.0-beta.3</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

--- a/java/pom.xml
+++ b/java/pom.xml
@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.27.0-beta.4</version>
+    <version>0.27.0-beta.3</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
--- a/nodejs/Cargo.toml
+++ b/nodejs/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.27.0-beta.4"
+version = "0.27.0-beta.3"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
--- 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
@@ -1697,65 +1697,6 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      expect(results2[0].text).toBe(data[1].text);
    });

-    test("full text search fast search", async () => {
-      const db = await connect(tmpDir.name);
-      const data = [{ text: "hello world", vector: [0.1, 0.2, 0.3], id: 1 }];
-      const table = await db.createTable("test", data);
-      await table.createIndex("text", {
-        config: Index.fts(),
-      });
-
-      // Insert unindexed data after creating the index.
-      await table.add([{ text: "xyz", vector: [0.4, 0.5, 0.6], id: 2 }]);
-
-      const withFlatSearch = await table
-        .search("xyz", "fts")
-        .limit(10)
-        .toArray();
-      expect(withFlatSearch.length).toBeGreaterThan(0);
-
-      const fastSearchResults = await table
-        .search("xyz", "fts")
-        .fastSearch()
-        .limit(10)
-        .toArray();
-      expect(fastSearchResults.length).toBe(0);
-
-      const nearestToTextFastSearch = await table
-        .query()
-        .nearestToText("xyz")
-        .fastSearch()
-        .limit(10)
-        .toArray();
-      expect(nearestToTextFastSearch.length).toBe(0);
-
-      // fastSearch should be chainable with other methods.
-      const chainedFastSearch = await table
-        .search("xyz", "fts")
-        .fastSearch()
-        .select(["text"])
-        .limit(5)
-        .toArray();
-      expect(chainedFastSearch.length).toBe(0);
-
-      await table.optimize();
-
-      const indexedFastSearch = await table
-        .search("xyz", "fts")
-        .fastSearch()
-        .limit(10)
-        .toArray();
-      expect(indexedFastSearch.length).toBeGreaterThan(0);
-
-      const indexedNearestToTextFastSearch = await table
-        .query()
-        .nearestToText("xyz")
-        .fastSearch()
-        .limit(10)
-        .toArray();
-      expect(indexedNearestToTextFastSearch.length).toBeGreaterThan(0);
-    });
-
    test("prewarm full text search index", async () => {
      const db = await connect(tmpDir.name);
      const data = [
@@ -2204,36 +2145,3 @@ 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/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/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.27.0-beta.4",
+	"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": "0.27.0-beta.4",
+	"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": "0.27.0-beta.4",
+	"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": "0.27.0-beta.4",
+	"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": "0.27.0-beta.4",
+	"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": "0.27.0-beta.4",
+  "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": "0.27.0-beta.4",
+	"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
@@ -1,12 +1,12 @@
 {
  "name": "@lancedb/lancedb",
-  "version": "0.27.0-beta.4",
+  "version": "0.27.0-beta.2",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.27.0-beta.4",
+      "version": "0.27.0-beta.2",
      "cpu": [
        "x64",
        "arm64"
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.27.0-beta.4",
+  "version": "0.27.0-beta.3",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
--- a/nodejs/src/connection.rs
+++ b/nodejs/src/connection.rs
@@ -8,10 +8,10 @@ use lancedb::database::{CreateTableMode, Database};
 use napi::bindgen_prelude::*;
 use napi_derive::*;

-use crate::ConnectionOptions;
 use crate::error::NapiErrorExt;
 use crate::header::JsHeaderProvider;
 use crate::table::Table;
+use crate::ConnectionOptions;
 use lancedb::connection::{ConnectBuilder, Connection as LanceDBConnection};

 use lancedb::ipc::{ipc_file_to_batches, ipc_file_to_schema};
--- a/nodejs/src/index.rs
+++ b/nodejs/src/index.rs
@@ -3,12 +3,12 @@

 use std::sync::Mutex;

-use lancedb::index::Index as LanceDbIndex;
 use lancedb::index::scalar::{BTreeIndexBuilder, FtsIndexBuilder};
 use lancedb::index::vector::{
    IvfFlatIndexBuilder, IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder, IvfPqIndexBuilder,
    IvfRqIndexBuilder,
 };
+use lancedb::index::Index as LanceDbIndex;
 use napi_derive::napi;

 use crate::util::parse_distance_type;
--- a/nodejs/src/query.rs
+++ b/nodejs/src/query.rs
@@ -17,8 +17,8 @@ use lancedb::query::VectorQuery as LanceDbVectorQuery;
 use napi::bindgen_prelude::*;
 use napi_derive::napi;

-use crate::error::NapiErrorExt;
 use crate::error::convert_error;
+use crate::error::NapiErrorExt;
 use crate::iterator::RecordBatchIterator;
 use crate::rerankers::RerankHybridCallbackArgs;
 use crate::rerankers::Reranker;
@@ -551,12 +551,15 @@ fn parse_fts_query(query: Object) -> napi::Result<FullTextSearchQuery> {
            }
        };
        let mut query = FullTextSearchQuery::new_query(query);
-        if let Some(cols) = columns
-            && !cols.is_empty()
-        {
-            query = query.with_columns(&cols).map_err(|e| {
-                napi::Error::from_reason(format!("Failed to set full text search columns: {}", e))
-            })?;
+        if let Some(cols) = columns {
+            if !cols.is_empty() {
+                query = query.with_columns(&cols).map_err(|e| {
+                    napi::Error::from_reason(format!(
+                        "Failed to set full text search columns: {}",
+                        e
+                    ))
+                })?;
+            }
        }
        Ok(query)
    } else {
--- a/nodejs/src/session.rs
+++ b/nodejs/src/session.rs
@@ -95,7 +95,7 @@ impl napi::bindgen_prelude::FromNapiValue for Session {
        napi_val: napi::sys::napi_value,
    ) -> napi::Result<Self> {
        let object: napi::bindgen_prelude::ClassInstance<Self> =
-            unsafe { napi::bindgen_prelude::ClassInstance::from_napi_value(env, napi_val)? };
+            napi::bindgen_prelude::ClassInstance::from_napi_value(env, napi_val)?;
        Ok((*object).clone())
    }
 }
--- a/nodejs/src/table.rs
+++ b/nodejs/src/table.rs
@@ -753,14 +753,12 @@ impl From<lancedb::table::AddResult> for AddResult {

 #[napi(object)]
 pub struct DeleteResult {
-    pub num_deleted_rows: i64,
    pub version: i64,
 }

 impl From<lancedb::table::DeleteResult> for DeleteResult {
    fn from(value: lancedb::table::DeleteResult) -> Self {
        Self {
-            num_deleted_rows: value.num_deleted_rows as i64,
            version: value.version as i64,
        }
    }
--- a/python/.bumpversion.toml
+++ b/python/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.30.0-beta.5"
+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 = "0.30.0-beta.5"
+version = "0.30.0-beta.3"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
@@ -16,11 +16,9 @@ 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
 pyo3 = { version = "0.26", features = ["extension-module", "abi3-py39"] }
@@ -30,8 +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
@@ -45,7 +45,7 @@ repository = "https://github.com/lancedb/lancedb"

 [project.optional-dependencies]
 pylance = [
-    "pylance>=4.0.0b7",
+    "pylance>=1.0.0b14",
 ]
 tests = [
    "aiohttp",
@@ -59,9 +59,9 @@ tests = [
    "polars>=0.19, <=1.3.0",
    "tantivy",
    "pyarrow-stubs",
-    "pylance>=4.0.0b7",
+    "pylance>=1.0.0b14,<3.0.0",
    "requests",
-    "datafusion>=52,<53",
+    "datafusion<52",
 ]
 dev = [
    "ruff",
--- 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
@@ -606,7 +606,6 @@ class LanceQueryBuilder(ABC):
                query,
                ordering_field_name=ordering_field_name,
                fts_columns=fts_columns,
-                fast_search=fast_search,
            )

        if isinstance(query, list):
@@ -1457,14 +1456,13 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
        query: str | FullTextQuery,
        ordering_field_name: Optional[str] = None,
        fts_columns: Optional[Union[str, List[str]]] = None,
-        fast_search: bool = None,
    ):
        super().__init__(table)
        self._query = query
        self._phrase_query = False
        self.ordering_field_name = ordering_field_name
        self._reranker = None
-        self._fast_search = fast_search
+        self._fast_search = None
        if isinstance(fts_columns, str):
            fts_columns = [fts_columns]
        self._fts_columns = fts_columns
--- a/python/python/lancedb/remote/table.py
+++ b/python/python/lancedb/remote/table.py
@@ -218,6 +218,8 @@ class RemoteTable(Table):
        train: bool = True,
    ):
        """Create an index on the table.
+        Currently, the only parameters that matter are
+        the metric and the vector column name.

        Parameters
        ----------
@@ -248,6 +250,11 @@ class RemoteTable(Table):
        >>> table.create_index("l2", "vector") # doctest: +SKIP
        """

+        if num_sub_vectors is not None:
+            logging.warning(
+                "num_sub_vectors is not supported on LanceDB cloud."
+                "This parameter will be tuned automatically."
+            )
        if accelerator is not None:
            logging.warning(
                "GPU accelerator is not yet supported on LanceDB cloud."
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -1331,7 +1331,7 @@ class Table(ABC):
        1  2  [3.0, 4.0]
        2  3  [5.0, 6.0]
        >>> table.delete("x = 2")
-        DeleteResult(num_deleted_rows=1, version=2)
+        DeleteResult(version=2)
        >>> table.to_pandas()
           x      vector
        0  1  [1.0, 2.0]
@@ -1345,7 +1345,7 @@ class Table(ABC):
        >>> to_remove
        '1, 5'
        >>> table.delete(f"x IN ({to_remove})")
-        DeleteResult(num_deleted_rows=1, version=3)
+        DeleteResult(version=3)
        >>> table.to_pandas()
           x      vector
        0  3  [5.0, 6.0]
@@ -1746,8 +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:
@@ -1755,7 +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:
@@ -1767,8 +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,
                )
            )

@@ -1811,8 +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 = []
@@ -1824,8 +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
@@ -1857,16 +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,
@@ -2732,7 +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.
@@ -2793,7 +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(
@@ -4236,7 +4215,7 @@ class AsyncTable:
        1  2  [3.0, 4.0]
        2  3  [5.0, 6.0]
        >>> table.delete("x = 2")
-        DeleteResult(num_deleted_rows=1, version=2)
+        DeleteResult(version=2)
        >>> table.to_pandas()
           x      vector
        0  1  [1.0, 2.0]
@@ -4250,7 +4229,7 @@ class AsyncTable:
        >>> to_remove
        '1, 5'
        >>> table.delete(f"x IN ({to_remove})")
-        DeleteResult(num_deleted_rows=1, version=3)
+        DeleteResult(version=3)
        >>> table.to_pandas()
           x      vector
        0  3  [5.0, 6.0]
--- a/python/python/lancedb/util.py
+++ b/python/python/lancedb/util.py
@@ -324,16 +324,6 @@ def _(value: list):
    return "[" + ", ".join(map(value_to_sql, value)) + "]"


-@value_to_sql.register(dict)
-def _(value: dict):
-    # https://datafusion.apache.org/user-guide/sql/scalar_functions.html#named-struct
-    return (
-        "named_struct("
-        + ", ".join(f"'{k}', {value_to_sql(v)}" for k, v in value.items())
-        + ")"
-    )
-
-
@value_to_sql.register(np.ndarray)
 def _(value: np.ndarray):
    return value_to_sql(value.tolist())
--- a/python/python/tests/test_fts.py
+++ b/python/python/tests/test_fts.py
@@ -27,7 +27,6 @@ from lancedb.query import (
    PhraseQuery,
    BooleanQuery,
    Occur,
-    LanceFtsQueryBuilder,
 )
 import numpy as np
 import pyarrow as pa
@@ -921,10 +920,6 @@ def test_fts_fast_search(table):
    assert query.limit == 5
    assert query.columns == ["text"]

-    # fast_search should be enabled by keyword argument too
-    query = LanceFtsQueryBuilder(table, "xyz", fast_search=True).to_query_object()
-    assert query.fast_search is True
-
    # Verify it executes without error and skips unindexed data
    results = table.search("xyz", query_type="fts").fast_search().limit(5).to_list()
    assert len(results) == 0
--- 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(
--- a/python/python/tests/test_util.py
+++ b/python/python/tests/test_util.py
@@ -121,32 +121,6 @@ def test_value_to_sql_string(tmp_path):
        assert table.to_pandas().query("search == @value")["replace"].item() == value


-def test_value_to_sql_dict():
-    # Simple flat struct
-    assert value_to_sql({"a": 1, "b": "hello"}) == "named_struct('a', 1, 'b', 'hello')"
-
-    # Nested struct
-    assert (
-        value_to_sql({"outer": {"inner": 1}})
-        == "named_struct('outer', named_struct('inner', 1))"
-    )
-
-    # List inside struct
-    assert value_to_sql({"a": [1, 2]}) == "named_struct('a', [1, 2])"
-
-    # Mixed types
-    assert (
-        value_to_sql({"name": "test", "count": 42, "rate": 3.14, "active": True})
-        == "named_struct('name', 'test', 'count', 42, 'rate', 3.14, 'active', TRUE)"
-    )
-
-    # Null value inside struct
-    assert value_to_sql({"a": None}) == "named_struct('a', NULL)"
-
-    # Empty dict
-    assert value_to_sql({}) == "named_struct()"
-
-
 def test_append_vector_columns():
    registry = EmbeddingFunctionRegistry.get_instance()
    registry.register("test")(MockTextEmbeddingFunction)
--- a/python/src/arrow.rs
+++ b/python/src/arrow.rs
@@ -10,7 +10,7 @@ use arrow::{
 use futures::stream::StreamExt;
 use lancedb::arrow::SendableRecordBatchStream;
 use pyo3::{
-    Bound, Py, PyAny, PyRef, PyResult, Python, exceptions::PyStopAsyncIteration, pyclass, pymethods,
+    exceptions::PyStopAsyncIteration, pyclass, pymethods, Bound, Py, PyAny, PyRef, PyResult, Python,
 };
 use pyo3_async_runtimes::tokio::future_into_py;

--- a/python/src/connection.rs
+++ b/python/src/connection.rs
@@ -9,16 +9,15 @@ use lancedb::{
    database::{CreateTableMode, Database, ReadConsistency},
 };
 use pyo3::{
-    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
    exceptions::{PyRuntimeError, PyValueError},
    pyclass, pyfunction, pymethods,
    types::{PyDict, PyDictMethods},
+    Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
 };
 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/error.rs
+++ b/python/src/error.rs
@@ -2,10 +2,10 @@
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

 use pyo3::{
-    PyErr, PyResult, Python,
    exceptions::{PyIOError, PyNotImplementedError, PyOSError, PyRuntimeError, PyValueError},
    intern,
    types::{PyAnyMethods, PyNone},
+    PyErr, PyResult, Python,
 };

 use lancedb::error::Error as LanceError;
--- a/python/src/index.rs
+++ b/python/src/index.rs
@@ -3,17 +3,17 @@

 use lancedb::index::vector::{IvfFlatIndexBuilder, IvfRqIndexBuilder, IvfSqIndexBuilder};
 use lancedb::index::{
-    Index as LanceDbIndex,
    scalar::{BTreeIndexBuilder, FtsIndexBuilder},
    vector::{IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder, IvfPqIndexBuilder},
+    Index as LanceDbIndex,
 };
-use pyo3::IntoPyObject;
 use pyo3::types::PyStringMethods;
+use pyo3::IntoPyObject;
 use pyo3::{
-    Bound, FromPyObject, PyAny, PyResult, Python,
    exceptions::{PyKeyError, PyValueError},
    intern, pyclass, pymethods,
    types::PyAnyMethods,
+    Bound, FromPyObject, PyAny, PyResult, Python,
 };

 use crate::util::parse_distance_type;
@@ -41,12 +41,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                let inner_opts = FtsIndexBuilder::default()
                    .base_tokenizer(params.base_tokenizer)
                    .language(&params.language)
-                    .map_err(|_| {
-                        PyValueError::new_err(format!(
-                            "LanceDB does not support the requested language: '{}'",
-                            params.language
-                        ))
-                    })?
+                    .map_err(|_| PyValueError::new_err(format!("LanceDB does not support the requested language: '{}'", params.language)))?
                    .with_position(params.with_position)
                    .lower_case(params.lower_case)
                    .max_token_length(params.max_token_length)
@@ -57,7 +52,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    .ngram_max_length(params.ngram_max_length)
                    .ngram_prefix_only(params.prefix_only);
                Ok(LanceDbIndex::FTS(inner_opts))
-            }
+            },
            "IvfFlat" => {
                let params = source.extract::<IvfFlatParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -69,11 +64,10 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    ivf_flat_builder = ivf_flat_builder.num_partitions(num_partitions);
                }
                if let Some(target_partition_size) = params.target_partition_size {
-                    ivf_flat_builder =
-                        ivf_flat_builder.target_partition_size(target_partition_size);
+                    ivf_flat_builder = ivf_flat_builder.target_partition_size(target_partition_size);
                }
                Ok(LanceDbIndex::IvfFlat(ivf_flat_builder))
-            }
+            },
            "IvfPq" => {
                let params = source.extract::<IvfPqParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -92,7 +86,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    ivf_pq_builder = ivf_pq_builder.num_sub_vectors(num_sub_vectors);
                }
                Ok(LanceDbIndex::IvfPq(ivf_pq_builder))
-            }
+            },
            "IvfSq" => {
                let params = source.extract::<IvfSqParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -107,7 +101,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    ivf_sq_builder = ivf_sq_builder.target_partition_size(target_partition_size);
                }
                Ok(LanceDbIndex::IvfSq(ivf_sq_builder))
-            }
+            },
            "IvfRq" => {
                let params = source.extract::<IvfRqParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -123,7 +117,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    ivf_rq_builder = ivf_rq_builder.target_partition_size(target_partition_size);
                }
                Ok(LanceDbIndex::IvfRq(ivf_rq_builder))
-            }
+            },
            "HnswPq" => {
                let params = source.extract::<IvfHnswPqParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -144,7 +138,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    hnsw_pq_builder = hnsw_pq_builder.num_sub_vectors(num_sub_vectors);
                }
                Ok(LanceDbIndex::IvfHnswPq(hnsw_pq_builder))
-            }
+            },
            "HnswSq" => {
                let params = source.extract::<IvfHnswSqParams>()?;
                let distance_type = parse_distance_type(params.distance_type)?;
@@ -161,7 +155,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
                    hnsw_sq_builder = hnsw_sq_builder.target_partition_size(target_partition_size);
                }
                Ok(LanceDbIndex::IvfHnswSq(hnsw_sq_builder))
-            }
+            },
            not_supported => Err(PyValueError::new_err(format!(
                "Invalid index type '{}'.  Must be one of BTree, Bitmap, LabelList, FTS, IvfPq, IvfSq, IvfHnswPq, or IvfHnswSq",
                not_supported
--- a/python/src/lib.rs
+++ b/python/src/lib.rs
@@ -2,14 +2,14 @@
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

 use arrow::RecordBatchStream;
-use connection::{Connection, connect};
+use connection::{connect, Connection};
 use env_logger::Env;
 use index::IndexConfig;
 use permutation::{PyAsyncPermutationBuilder, PyPermutationReader};
 use pyo3::{
-    Bound, PyResult, Python, pymodule,
+    pymodule,
    types::{PyModule, PyModuleMethods},
-    wrap_pyfunction,
+    wrap_pyfunction, Bound, PyResult, Python,
 };
 use query::{FTSQuery, HybridQuery, Query, VectorQuery};
 use session::Session;
@@ -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/permutation.rs
+++ b/python/src/permutation.rs
@@ -16,10 +16,10 @@ use lancedb::{
    query::Select,
 };
 use pyo3::{
-    Bound, PyAny, PyRef, PyRefMut, PyResult, Python,
    exceptions::PyRuntimeError,
    pyclass, pymethods,
    types::{PyAnyMethods, PyDict, PyDictMethods, PyType},
+    Bound, PyAny, PyRef, PyRefMut, PyResult, Python,
 };
 use pyo3_async_runtimes::tokio::future_into_py;

--- a/python/src/query.rs
+++ b/python/src/query.rs
@@ -4,9 +4,9 @@
 use std::sync::Arc;
 use std::time::Duration;

+use arrow::array::make_array;
 use arrow::array::Array;
 use arrow::array::ArrayData;
-use arrow::array::make_array;
 use arrow::pyarrow::FromPyArrow;
 use arrow::pyarrow::IntoPyArrow;
 use arrow::pyarrow::ToPyArrow;
@@ -22,23 +22,23 @@ use lancedb::query::{
    VectorQuery as LanceDbVectorQuery,
 };
 use lancedb::table::AnyQuery;
+use pyo3::prelude::{PyAnyMethods, PyDictMethods};
+use pyo3::pyfunction;
+use pyo3::pymethods;
+use pyo3::types::PyList;
+use pyo3::types::{PyDict, PyString};
 use pyo3::Bound;
 use pyo3::IntoPyObject;
 use pyo3::PyAny;
 use pyo3::PyRef;
 use pyo3::PyResult;
 use pyo3::Python;
-use pyo3::prelude::{PyAnyMethods, PyDictMethods};
-use pyo3::pyfunction;
-use pyo3::pymethods;
-use pyo3::types::PyList;
-use pyo3::types::{PyDict, PyString};
-use pyo3::{FromPyObject, exceptions::PyRuntimeError};
-use pyo3::{PyErr, pyclass};
+use pyo3::{exceptions::PyRuntimeError, FromPyObject};
 use pyo3::{
    exceptions::{PyNotImplementedError, PyValueError},
    intern,
 };
+use pyo3::{pyclass, PyErr};
 use pyo3_async_runtimes::tokio::future_into_py;

 use crate::util::parse_distance_type;
--- a/python/src/session.rs
+++ b/python/src/session.rs
@@ -4,7 +4,7 @@
 use std::sync::Arc;

 use lancedb::{ObjectStoreRegistry, Session as LanceSession};
-use pyo3::{PyResult, pyclass, pymethods};
+use pyo3::{pyclass, pymethods, PyResult};

 /// A session for managing caches and object stores across LanceDB operations.
 ///
--- a/python/src/storage_options.rs
+++ b/python/src/storage_options.rs
@@ -66,10 +66,13 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
                    .inner
                    .bind(py)
                    .call_method0("fetch_storage_options")
-                    .map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
-                        "Failed to call fetch_storage_options: {}",
-                        e
-                    )))))?;
+                    .map_err(|e| lance_core::Error::IO {
+                        source: Box::new(std::io::Error::other(format!(
+                            "Failed to call fetch_storage_options: {}",
+                            e
+                        ))),
+                        location: snafu::location!(),
+                    })?;

                // If result is None, return None
                if result.is_none() {
@@ -78,19 +81,26 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {

                // Extract the result dict - should be a flat Map<String, String>
                let result_dict = result.downcast::<PyDict>().map_err(|_| {
-                    lance_core::Error::invalid_input(
-                        "fetch_storage_options() must return a dict of string key-value pairs or None",
-                    )
+                    lance_core::Error::InvalidInput {
+                        source: "fetch_storage_options() must return None or a dict of string key-value pairs".into(),
+                        location: snafu::location!(),
+                    }
                })?;

                // Convert all entries to HashMap<String, String>
                let mut storage_options = HashMap::new();
                for (key, value) in result_dict.iter() {
                    let key_str: String = key.extract().map_err(|e| {
-                        lance_core::Error::invalid_input(format!("Storage option key must be a string: {}", e))
+                        lance_core::Error::InvalidInput {
+                            source: format!("Storage option key must be a string: {}", e).into(),
+                            location: snafu::location!(),
+                        }
                    })?;
                    let value_str: String = value.extract().map_err(|e| {
-                        lance_core::Error::invalid_input(format!("Storage option value must be a string: {}", e))
+                        lance_core::Error::InvalidInput {
+                            source: format!("Storage option value must be a string: {}", e).into(),
+                            location: snafu::location!(),
+                        }
                    })?;
                    storage_options.insert(key_str, value_str);
                }
@@ -99,10 +109,13 @@ impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
            })
        })
        .await
-        .map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
-            "Task join error: {}",
-            e
-        )))))?
+        .map_err(|e| lance_core::Error::IO {
+            source: Box::new(std::io::Error::other(format!(
+                "Task join error: {}",
+                e
+            ))),
+            location: snafu::location!(),
+        })?
    }

    fn provider_id(&self) -> String {
--- a/python/src/table.rs
+++ b/python/src/table.rs
@@ -5,7 +5,7 @@ use std::{collections::HashMap, sync::Arc};
 use crate::{
    connection::Connection,
    error::PythonErrorExt,
-    index::{IndexConfig, extract_index_params},
+    index::{extract_index_params, IndexConfig},
    query::{Query, TakeQuery},
    table::scannable::PyScannable,
 };
@@ -19,10 +19,10 @@ use lancedb::table::{
    Table as LanceDbTable,
 };
 use pyo3::{
-    Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
    exceptions::{PyKeyError, PyRuntimeError, PyValueError},
    pyclass, pymethods,
    types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
+    Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
 };
 use pyo3_async_runtimes::tokio::future_into_py;

@@ -112,24 +112,19 @@ impl From<lancedb::table::AddResult> for AddResult {
 #[pyclass(get_all)]
 #[derive(Clone, Debug)]
 pub struct DeleteResult {
-    pub num_deleted_rows: u64,
    pub version: u64,
 }

 #[pymethods]
 impl DeleteResult {
    pub fn __repr__(&self) -> String {
-        format!(
-            "DeleteResult(num_deleted_rows={}, version={})",
-            self.num_deleted_rows, self.version
-        )
+        format!("DeleteResult(version={})", self.version)
    }
 }

 impl From<lancedb::table::DeleteResult> for DeleteResult {
    fn from(result: lancedb::table::DeleteResult) -> Self {
        Self {
-            num_deleted_rows: result.num_deleted_rows,
            version: result.version,
        }
    }
@@ -542,7 +537,7 @@ impl Table {
        let inner = self_.inner_ref()?.clone();
        future_into_py(self_.py(), async move {
            let versions = inner.list_versions().await.infer_error()?;
-            Python::attach(|py| {
+            let versions_as_dict = Python::attach(|py| {
                versions
                    .iter()
                    .map(|v| {
@@ -559,7 +554,9 @@ impl Table {
                        Ok(dict.unbind())
                    })
                    .collect::<PyResult<Vec<_>>>()
-            })
+            });
+
+            versions_as_dict
        })
    }

--- a/python/src/table/scannable.rs
+++ b/python/src/table/scannable.rs
@@ -10,11 +10,11 @@ use arrow::{
 };
 use futures::StreamExt;
 use lancedb::{
-    Error,
    arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
    data::scannable::Scannable,
+    Error,
 };
-use pyo3::{FromPyObject, Py, PyAny, Python, types::PyAnyMethods};
+use pyo3::{types::PyAnyMethods, FromPyObject, Py, PyAny, Python};

 /// Adapter that implements Scannable for a Python reader factory callable.
 ///
@@ -99,15 +99,15 @@ impl Scannable for PyScannable {
                        // Channel closed. Check if the task panicked — a panic
                        // drops the sender without sending an error, so without
                        // this check we'd silently return a truncated stream.
-                        if let Some(handle) = join_handle
-                            && let Err(join_err) = handle.await
-                        {
-                            return Some((
-                                Err(Error::Runtime {
-                                    message: format!("Reader task panicked: {}", join_err),
-                                }),
-                                (rx, None),
-                            ));
+                        if let Some(handle) = join_handle {
+                            if let Err(join_err) = handle.await {
+                                return Some((
+                                    Err(Error::Runtime {
+                                        message: format!("Reader task panicked: {}", join_err),
+                                    }),
+                                    (rx, None),
+                                ));
+                            }
                        }
                        None
                    }
--- a/python/src/util.rs
+++ b/python/src/util.rs
@@ -5,9 +5,8 @@ use std::sync::Mutex;

 use lancedb::DistanceType;
 use pyo3::{
-    PyResult,
    exceptions::{PyRuntimeError, PyValueError},
-    pyfunction,
+    pyfunction, PyResult,
 };

 /// A wrapper around a rust builder
--- 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 = "0.27.0-beta.4"
+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/examples/bedrock.rs
+++ b/rust/lancedb/examples/bedrock.rs
@@ -9,9 +9,10 @@ use aws_config::Region;
 use aws_sdk_bedrockruntime::Client;
 use futures::StreamExt;
 use lancedb::{
-    Result, connect,
-    embeddings::{EmbeddingDefinition, EmbeddingFunction, bedrock::BedrockEmbeddingFunction},
+    connect,
+    embeddings::{bedrock::BedrockEmbeddingFunction, EmbeddingDefinition, EmbeddingFunction},
    query::{ExecutableQuery, QueryBase},
+    Result,
 };

 #[tokio::main]
--- a/rust/lancedb/examples/full_text_search.rs
+++ b/rust/lancedb/examples/full_text_search.rs
@@ -10,10 +10,10 @@ use futures::TryStreamExt;
 use lance_index::scalar::FullTextSearchQuery;
 use lancedb::connection::Connection;

-use lancedb::index::Index;
 use lancedb::index::scalar::FtsIndexBuilder;
+use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
-use lancedb::{Result, Table, connect};
+use lancedb::{connect, Result, Table};
 use rand::random;

 #[tokio::main]
@@ -46,21 +46,19 @@ fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send
        .collect::<Vec<_>>();
    let n_terms = 3;
    let batches = RecordBatchIterator::new(
-        vec![
-            RecordBatch::try_new(
-                schema.clone(),
-                vec![
-                    Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
-                    Arc::new(StringArray::from_iter_values((0..TOTAL).map(|_| {
-                        (0..n_terms)
-                            .map(|_| words[random::<u32>() as usize % words.len()])
-                            .collect::<Vec<_>>()
-                            .join(" ")
-                    }))),
-                ],
-            )
-            .unwrap(),
-        ]
+        vec![RecordBatch::try_new(
+            schema.clone(),
+            vec![
+                Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
+                Arc::new(StringArray::from_iter_values((0..TOTAL).map(|_| {
+                    (0..n_terms)
+                        .map(|_| words[random::<u32>() as usize % words.len()])
+                        .collect::<Vec<_>>()
+                        .join(" ")
+                }))),
+            ],
+        )
+        .unwrap()]
        .into_iter()
        .map(Ok),
        schema.clone(),
--- a/rust/lancedb/examples/hybrid_search.rs
+++ b/rust/lancedb/examples/hybrid_search.rs
@@ -5,15 +5,16 @@ use arrow_array::{RecordBatch, StringArray};
 use arrow_schema::{DataType, Field, Schema};
 use futures::TryStreamExt;
 use lance_index::scalar::FullTextSearchQuery;
-use lancedb::index::Index;
 use lancedb::index::scalar::FtsIndexBuilder;
+use lancedb::index::Index;
 use lancedb::{
-    Result, Table, connect,
+    connect,
    embeddings::{
-        EmbeddingDefinition, EmbeddingFunction,
-        sentence_transformers::SentenceTransformersEmbeddings,
+        sentence_transformers::SentenceTransformersEmbeddings, EmbeddingDefinition,
+        EmbeddingFunction,
    },
    query::{QueryBase, QueryExecutionOptions},
+    Result, Table,
 };
 use std::{iter::once, sync::Arc};

--- a/rust/lancedb/examples/ivf_pq.rs
+++ b/rust/lancedb/examples/ivf_pq.rs
@@ -14,10 +14,10 @@ use arrow_schema::{DataType, Field, Schema};
 use futures::TryStreamExt;
 use lancedb::connection::Connection;

-use lancedb::index::Index;
 use lancedb::index::vector::IvfPqIndexBuilder;
+use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
-use lancedb::{DistanceType, Result, Table, connect};
+use lancedb::{connect, DistanceType, Result, Table};

 #[tokio::main]
 async fn main() -> Result<()> {
@@ -51,21 +51,19 @@ fn create_some_records() -> Result<Box<dyn arrow_array::RecordBatchReader + Send

    // Create a RecordBatch stream.
    let batches = RecordBatchIterator::new(
-        vec![
-            RecordBatch::try_new(
-                schema.clone(),
-                vec![
-                    Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
-                    Arc::new(
-                        FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
-                            (0..TOTAL).map(|_| Some(vec![Some(1.0); DIM])),
-                            DIM as i32,
-                        ),
+        vec![RecordBatch::try_new(
+            schema.clone(),
+            vec![
+                Arc::new(Int32Array::from_iter_values(0..TOTAL as i32)),
+                Arc::new(
+                    FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
+                        (0..TOTAL).map(|_| Some(vec![Some(1.0); DIM])),
+                        DIM as i32,
                    ),
-                ],
-            )
-            .unwrap(),
-        ]
+                ),
+            ],
+        )
+        .unwrap()]
        .into_iter()
        .map(Ok),
        schema.clone(),
--- a/rust/lancedb/examples/openai.rs
+++ b/rust/lancedb/examples/openai.rs
@@ -8,9 +8,10 @@ use std::{iter::once, sync::Arc};
 use arrow_array::{RecordBatch, StringArray};
 use futures::StreamExt;
 use lancedb::{
-    Result, connect,
-    embeddings::{EmbeddingDefinition, EmbeddingFunction, openai::OpenAIEmbeddingFunction},
+    connect,
+    embeddings::{openai::OpenAIEmbeddingFunction, EmbeddingDefinition, EmbeddingFunction},
    query::{ExecutableQuery, QueryBase},
+    Result,
 };

 // --8<-- [end:imports]
--- a/rust/lancedb/examples/sentence_transformers.rs
+++ b/rust/lancedb/examples/sentence_transformers.rs
@@ -7,12 +7,13 @@ use arrow_array::{RecordBatch, StringArray};
 use arrow_schema::{DataType, Field, Schema};
 use futures::StreamExt;
 use lancedb::{
-    Result, connect,
+    connect,
    embeddings::{
-        EmbeddingDefinition, EmbeddingFunction,
-        sentence_transformers::SentenceTransformersEmbeddings,
+        sentence_transformers::SentenceTransformersEmbeddings, EmbeddingDefinition,
+        EmbeddingFunction,
    },
    query::{ExecutableQuery, QueryBase},
+    Result,
 };

 #[tokio::main]
--- a/rust/lancedb/examples/simple.rs
+++ b/rust/lancedb/examples/simple.rs
@@ -14,7 +14,7 @@ use futures::TryStreamExt;
 use lancedb::connection::Connection;
 use lancedb::index::Index;
 use lancedb::query::{ExecutableQuery, QueryBase};
-use lancedb::{Result, Table as LanceDbTable, connect};
+use lancedb::{connect, Result, Table as LanceDbTable};

 #[tokio::main]
 async fn main() -> Result<()> {
--- a/rust/lancedb/src/arrow.rs
+++ b/rust/lancedb/src/arrow.rs
@@ -12,7 +12,7 @@ use lance_datagen::{BatchCount, BatchGeneratorBuilder, RowCount};
 #[cfg(feature = "polars")]
 use {crate::polars_arrow_convertors, polars::frame::ArrowChunk, polars::prelude::DataFrame};

-use crate::{Error, error::Result};
+use crate::{error::Result, Error};

 /// An iterator of batches that also has a schema
 pub trait RecordBatchReader: Iterator<Item = Result<arrow_array::RecordBatch>> {
--- a/rust/lancedb/src/connection.rs
+++ b/rust/lancedb/src/connection.rs
@@ -17,7 +17,6 @@ use lance_namespace::models::{
 #[cfg(feature = "aws")]
 use object_store::aws::AwsCredential;

-use crate::Table;
 use crate::connection::create_table::CreateTableBuilder;
 use crate::data::scannable::Scannable;
 use crate::database::listing::ListingDatabase;
@@ -32,6 +31,7 @@ use crate::remote::{
    client::ClientConfig,
    db::{OPT_REMOTE_API_KEY, OPT_REMOTE_HOST_OVERRIDE, OPT_REMOTE_REGION},
 };
+use crate::Table;
 use lance::io::ObjectStoreParams;
 pub use lance_encoding::version::LanceFileVersion;
 #[cfg(feature = "remote")]
@@ -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();
@@ -596,11 +566,8 @@ pub struct ConnectBuilder {
 }

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

 impl ConnectBuilder {
    /// Create a new [`ConnectOptions`] with the given database URI.
@@ -791,10 +758,10 @@ impl ConnectBuilder {
        options: &mut HashMap<String, String>,
    ) {
        for (env_key, opt_key) in env_var_to_remote_storage_option {
-            if let Ok(env_value) = std::env::var(env_key)
-                && !options.contains_key(*opt_key)
-            {
-                options.insert((*opt_key).to_string(), env_value);
+            if let Ok(env_value) = std::env::var(env_key) {
+                if !options.contains_key(*opt_key) {
+                    options.insert((*opt_key).to_string(), env_value);
+                }
            }
        }
    }
@@ -1044,13 +1011,14 @@ mod tests {
    #[cfg(feature = "remote")]
    #[test]
    fn test_apply_env_defaults() {
-        let env_key = "PATH";
-        let env_val = std::env::var(env_key).expect("PATH should be set in test environment");
+        let env_key = "TEST_APPLY_ENV_DEFAULTS_ENVIRONMENT_VARIABLE_ENV_KEY";
+        let env_val = "TEST_APPLY_ENV_DEFAULTS_ENVIRONMENT_VARIABLE_ENV_VAL";
        let opts_key = "test_apply_env_defaults_environment_variable_opts_key";
+        std::env::set_var(env_key, env_val);

        let mut options = HashMap::new();
        ConnectBuilder::apply_env_defaults(&[(env_key, opts_key)], &mut options);
-        assert_eq!(Some(&env_val), options.get(opts_key));
+        assert_eq!(Some(&env_val.to_string()), options.get(opts_key));

        options.insert(opts_key.to_string(), "EXPLICIT-VALUE".to_string());
        ConnectBuilder::apply_env_defaults(&[(env_key, opts_key)], &mut options);
--- a/rust/lancedb/src/connection/create_table.rs
+++ b/rust/lancedb/src/connection/create_table.rs
@@ -6,12 +6,12 @@ use std::sync::Arc;
 use lance_io::object_store::StorageOptionsProvider;

 use crate::{
-    Error, Result, Table,
    connection::{merge_storage_options, set_storage_options_provider},
    data::scannable::{Scannable, WithEmbeddingsScannable},
    database::{CreateTableMode, CreateTableRequest, Database},
    embeddings::{EmbeddingDefinition, EmbeddingFunction, EmbeddingRegistry},
    table::WriteOptions,
+    Error, Result, Table,
 };

 pub struct CreateTableBuilder {
@@ -167,7 +167,7 @@ impl CreateTableBuilder {
 #[cfg(test)]
 mod tests {
    use arrow_array::{
-        Array, FixedSizeListArray, Float32Array, RecordBatch, RecordBatchIterator, record_batch,
+        record_batch, Array, FixedSizeListArray, Float32Array, RecordBatch, RecordBatchIterator,
    };
    use arrow_schema::{ArrowError, DataType, Field, Schema};
    use futures::TryStreamExt;
@@ -380,12 +380,11 @@ mod tests {
            .await
            .unwrap();
        let other_schema = Arc::new(Schema::new(vec![Field::new("y", DataType::Int32, false)]));
-        assert!(
-            db.create_empty_table("test", other_schema.clone())
-                .execute()
-                .await
-                .is_err()
-        ); // TODO: assert what this error is
+        assert!(db
+            .create_empty_table("test", other_schema.clone())
+            .execute()
+            .await
+            .is_err()); // TODO: assert what this error is
        let overwritten = db
            .create_empty_table("test", other_schema.clone())
            .mode(CreateTableMode::Overwrite)
--- a/rust/lancedb/src/data/inspect.rs
+++ b/rust/lancedb/src/data/inspect.rs
@@ -5,9 +5,9 @@ use std::collections::HashMap;

 use arrow::compute::kernels::{aggregate::bool_and, length::length};
 use arrow_array::{
-    Array, GenericListArray, OffsetSizeTrait, PrimitiveArray, RecordBatchReader,
    cast::AsArray,
    types::{ArrowPrimitiveType, Int32Type, Int64Type},
+    Array, GenericListArray, OffsetSizeTrait, PrimitiveArray, RecordBatchReader,
 };
 use arrow_ord::cmp::eq;
 use arrow_schema::DataType;
@@ -78,7 +78,7 @@ pub fn infer_vector_columns(
                _ => {
                    return Err(Error::Schema {
                        message: format!("Column {} is not a list", col_name),
-                    });
+                    })
                }
            } {
                if let Some(Some(prev_dim)) = columns_to_infer.get(&col_name) {
@@ -102,8 +102,8 @@ mod tests {
    use super::*;

    use arrow_array::{
-        FixedSizeListArray, Float32Array, ListArray, RecordBatch, RecordBatchIterator, StringArray,
        types::{Float32Type, Float64Type},
+        FixedSizeListArray, Float32Array, ListArray, RecordBatch, RecordBatchIterator, StringArray,
    };
    use arrow_schema::{DataType, Field, Schema};
    use std::{sync::Arc, vec};
--- a/rust/lancedb/src/data/sanitize.rs
+++ b/rust/lancedb/src/data/sanitize.rs
@@ -4,10 +4,10 @@
 use std::{iter::repeat_with, sync::Arc};

 use arrow_array::{
-    Array, ArrowNumericType, FixedSizeListArray, PrimitiveArray, RecordBatch, RecordBatchIterator,
-    RecordBatchReader,
    cast::AsArray,
    types::{Float16Type, Float32Type, Float64Type, Int32Type, Int64Type},
+    Array, ArrowNumericType, FixedSizeListArray, PrimitiveArray, RecordBatch, RecordBatchIterator,
+    RecordBatchReader,
 };
 use arrow_cast::{can_cast_types, cast};
 use arrow_schema::{ArrowError, DataType, Field, Schema};
@@ -184,7 +184,7 @@ mod tests {
    use std::sync::Arc;

    use arrow_array::{
-        FixedSizeListArray, Float16Array, Float32Array, Float64Array, Int8Array, Int32Array,
+        FixedSizeListArray, Float16Array, Float32Array, Float64Array, Int32Array, Int8Array,
        RecordBatch, RecordBatchIterator, StringArray,
    };
    use arrow_schema::Field;
--- a/rust/lancedb/src/data/scannable.rs
+++ b/rust/lancedb/src/data/scannable.rs
@@ -13,16 +13,16 @@ use crate::arrow::{
    SendableRecordBatchStream, SendableRecordBatchStreamExt, SimpleRecordBatchStream,
 };
 use crate::embeddings::{
-    EmbeddingDefinition, EmbeddingFunction, EmbeddingRegistry, compute_embeddings_for_batch,
-    compute_output_schema,
+    compute_embeddings_for_batch, compute_output_schema, EmbeddingDefinition, EmbeddingFunction,
+    EmbeddingRegistry,
 };
 use crate::table::{ColumnDefinition, ColumnKind, TableDefinition};
 use crate::{Error, Result};
 use arrow_array::{ArrayRef, RecordBatch, RecordBatchIterator, RecordBatchReader};
 use arrow_schema::{ArrowError, SchemaRef};
 use async_trait::async_trait;
-use futures::StreamExt;
 use futures::stream::once;
+use futures::StreamExt;
 use lance_datafusion::utils::StreamingWriteSource;

 pub trait Scannable: Send {
--- a/rust/lancedb/src/database.rs
+++ b/rust/lancedb/src/database.rs
@@ -19,12 +19,12 @@ use std::sync::Arc;
 use std::time::Duration;

 use lance::dataset::ReadParams;
-use lance_namespace::LanceNamespace;
 use lance_namespace::models::{
    CreateNamespaceRequest, CreateNamespaceResponse, DescribeNamespaceRequest,
    DescribeNamespaceResponse, DropNamespaceRequest, DropNamespaceResponse, ListNamespacesRequest,
    ListNamespacesResponse, ListTablesRequest, ListTablesResponse,
 };
+use lance_namespace::LanceNamespace;

 use crate::data::scannable::Scannable;
 use crate::error::Result;
@@ -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
@@ -8,7 +8,7 @@ use std::path::Path;
 use std::{collections::HashMap, sync::Arc};

 use lance::dataset::refs::Ref;
-use lance::dataset::{ReadParams, WriteMode, builder::DatasetBuilder};
+use lance::dataset::{builder::DatasetBuilder, ReadParams, WriteMode};
 use lance::io::{ObjectStore, ObjectStoreParams, WrappingObjectStore};
 use lance_datafusion::utils::StreamingWriteSource;
 use lance_encoding::version::LanceFileVersion;
@@ -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?,
        );
@@ -1103,11 +1097,11 @@ impl Database for ListingDatabase {
 #[cfg(test)]
 mod tests {
    use super::*;
-    use crate::Table;
    use crate::connection::ConnectRequest;
    use crate::data::scannable::Scannable;
    use crate::database::{CreateTableMode, CreateTableRequest};
    use crate::table::WriteOptions;
+    use crate::Table;
    use arrow_array::{Int32Array, RecordBatch, StringArray};
    use arrow_schema::{DataType, Field, Schema};
    use std::path::PathBuf;
@@ -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
@@ -7,20 +7,18 @@ 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,
    models::{
-        CreateNamespaceRequest, CreateNamespaceResponse, DeclareTableRequest,
-        DescribeNamespaceRequest, DescribeNamespaceResponse, DescribeTableRequest,
-        DropNamespaceRequest, DropNamespaceResponse, DropTableRequest, ListNamespacesRequest,
-        ListNamespacesResponse, ListTablesRequest, ListTablesResponse,
+        CreateEmptyTableRequest, CreateNamespaceRequest, CreateNamespaceResponse,
+        DeclareTableRequest, DescribeNamespaceRequest, DescribeNamespaceResponse,
+        DescribeTableRequest, DropNamespaceRequest, DropNamespaceResponse, DropTableRequest,
+        ListNamespacesRequest, ListNamespacesResponse, ListTablesRequest, ListTablesResponse,
    },
+    LanceNamespace,
 };
 use lance_namespace_impls::ConnectBuilder;
-use lance_table::io::commit::CommitHandler;
-use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
+use log::warn;

 use crate::database::ReadConsistency;
 use crate::error::{Error, Result};
@@ -208,48 +206,83 @@ 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 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(),
-            })?;
-            // Use storage options from response, fall back to self.storage_options
-            let opts = response
-                .storage_options
-                .or_else(|| Some(self.storage_options.clone()))
-                .filter(|o| !o.is_empty());
-            (loc, opts, response.managed_versioning)
-        };
+        let (location, initial_storage_options) =
+            match self.namespace.declare_table(declare_request).await {
+                Ok(response) => {
+                    let loc = response.location.ok_or_else(|| Error::Runtime {
+                        message: "Table location is missing from declare_table response"
+                            .to_string(),
+                    })?;
+                    // Use storage options from response, fall back to self.storage_options
+                    let opts = response
+                        .storage_options
+                        .or_else(|| Some(self.storage_options.clone()))
+                        .filter(|o| !o.is_empty());
+                    (loc, opts)
+                }
+                Err(e) => {
+                    // Check if the error is "not supported" and try create_empty_table as fallback
+                    let err_str = e.to_string().to_lowercase();
+                    if err_str.contains("not supported") || err_str.contains("not implemented") {
+                        warn!(
+                            "declare_table is not supported by the namespace client, \
+                        falling back to deprecated create_empty_table. \
+                        create_empty_table is deprecated and will be removed in Lance 3.0.0. \
+                        Please upgrade your namespace client to support declare_table."
+                        );
+                        #[allow(deprecated)]
+                        let create_empty_request = CreateEmptyTableRequest {
+                            id: Some(table_id.clone()),
+                            ..Default::default()
+                        };

-        // Build write params with storage options and commit handler
-        let mut params = request.write_options.lance_write_params.unwrap_or_default();
+                        #[allow(deprecated)]
+                        let create_response = self
+                            .namespace
+                            .create_empty_table(create_empty_request)
+                            .await
+                            .map_err(|e| Error::Runtime {
+                                message: format!("Failed to create empty table: {}", e),
+                            })?;

-        // Set up storage options if provided
-        if let Some(storage_opts) = initial_storage_options {
+                        let loc = create_response.location.ok_or_else(|| Error::Runtime {
+                            message: "Table location is missing from create_empty_table response"
+                                .to_string(),
+                        })?;
+                        // For deprecated path, use self.storage_options
+                        let opts = if self.storage_options.is_empty() {
+                            None
+                        } else {
+                            Some(self.storage_options.clone())
+                        };
+                        (loc, opts)
+                    } else {
+                        return Err(Error::Runtime {
+                            message: format!("Failed to declare table: {}", e),
+                        });
+                    }
+                }
+            };
+
+        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/builder.rs
+++ b/rust/lancedb/src/dataloader/permutation/builder.rs
@@ -11,16 +11,16 @@ use lance_core::ROW_ID;
 use lance_datafusion::exec::SessionContextExt;

 use crate::{
-    Error, Result, Table,
    arrow::{SendableRecordBatchStream, SendableRecordBatchStreamExt, SimpleRecordBatchStream},
    connect,
    database::{CreateTableRequest, Database},
    dataloader::permutation::{
        shuffle::{Shuffler, ShufflerConfig},
-        split::{SPLIT_ID_COLUMN, SplitStrategy, Splitter},
-        util::{TemporaryDirectory, rename_column},
+        split::{SplitStrategy, Splitter, SPLIT_ID_COLUMN},
+        util::{rename_column, TemporaryDirectory},
    },
    query::{ExecutableQuery, QueryBase, Select},
+    Error, Result, Table,
 };

 pub const SRC_ROW_ID_COL: &str = "row_id";
--- a/rust/lancedb/src/dataloader/permutation/reader.rs
+++ b/rust/lancedb/src/dataloader/permutation/reader.rs
@@ -25,8 +25,8 @@ use futures::{StreamExt, TryStreamExt};
 use lance::dataset::scanner::DatasetRecordBatchStream;
 use lance::io::RecordBatchStream;
 use lance_arrow::RecordBatchExt;
-use lance_core::ROW_ID;
 use lance_core::error::LanceOptionExt;
+use lance_core::ROW_ID;
 use std::collections::HashMap;
 use std::sync::Arc;

@@ -500,10 +500,10 @@ mod tests {
    use rand::seq::SliceRandom;

    use crate::{
-        Table,
        arrow::SendableRecordBatchStream,
        query::{ExecutableQuery, QueryBase},
-        test_utils::datagen::{LanceDbDatagenExt, virtual_table},
+        test_utils::datagen::{virtual_table, LanceDbDatagenExt},
+        Table,
    };

    use super::*;
--- a/rust/lancedb/src/dataloader/permutation/shuffle.rs
+++ b/rust/lancedb/src/dataloader/permutation/shuffle.rs
@@ -18,12 +18,12 @@ use lance_io::{
    scheduler::{ScanScheduler, SchedulerConfig},
    utils::CachedFileSize,
 };
-use rand::{Rng, RngCore, seq::SliceRandom};
+use rand::{seq::SliceRandom, Rng, RngCore};

 use crate::{
-    Error, Result,
    arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
-    dataloader::permutation::util::{TemporaryDirectory, non_crypto_rng},
+    dataloader::permutation::util::{non_crypto_rng, TemporaryDirectory},
+    Error, Result,
 };

 #[derive(Debug, Clone)]
@@ -281,7 +281,7 @@ mod tests {
    use datafusion_expr::col;
    use futures::TryStreamExt;
    use lance_datagen::{BatchCount, BatchGeneratorBuilder, ByteCount, RowCount, Seed};
-    use rand::{SeedableRng, rngs::SmallRng};
+    use rand::{rngs::SmallRng, SeedableRng};

    fn test_gen() -> BatchGeneratorBuilder {
        lance_datagen::gen_batch()
--- a/rust/lancedb/src/dataloader/permutation/split.rs
+++ b/rust/lancedb/src/dataloader/permutation/split.rs
@@ -2,8 +2,8 @@
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

 use std::sync::{
-    Arc,
    atomic::{AtomicBool, AtomicU64, AtomicUsize, Ordering},
+    Arc,
 };

 use arrow_array::{Array, BooleanArray, RecordBatch, UInt64Array};
@@ -15,13 +15,13 @@ use lance_arrow::SchemaExt;
 use lance_core::ROW_ID;

 use crate::{
-    Error, Result,
    arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
    dataloader::{
        permutation::shuffle::{Shuffler, ShufflerConfig},
        permutation::util::TemporaryDirectory,
    },
    query::{Query, QueryBase, Select},
+    Error, Result,
 };

 pub const SPLIT_ID_COLUMN: &str = "split_id";
--- a/rust/lancedb/src/dataloader/permutation/util.rs
+++ b/rust/lancedb/src/dataloader/permutation/util.rs
@@ -7,12 +7,12 @@ use arrow_array::RecordBatch;
 use arrow_schema::{Fields, Schema};
 use datafusion_execution::disk_manager::DiskManagerMode;
 use futures::TryStreamExt;
-use rand::{RngCore, SeedableRng, rngs::SmallRng};
+use rand::{rngs::SmallRng, RngCore, SeedableRng};
 use tempfile::TempDir;

 use crate::{
-    Error, Result,
    arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
+    Error, Result,
 };

 /// Directory to use for temporary files
--- a/rust/lancedb/src/embeddings.rs
+++ b/rust/lancedb/src/embeddings.rs
@@ -23,9 +23,9 @@ use arrow_schema::{DataType, Field, SchemaBuilder, SchemaRef};
 use serde::{Deserialize, Serialize};

 use crate::{
-    Error,
    error::Result,
    table::{ColumnDefinition, ColumnKind, TableDefinition},
+    Error,
 };

 /// Trait for embedding functions
--- a/rust/lancedb/src/embeddings/bedrock.rs
+++ b/rust/lancedb/src/embeddings/bedrock.rs
@@ -8,7 +8,7 @@ use arrow::array::{AsArray, Float32Builder};
 use arrow_array::{Array, ArrayRef, FixedSizeListArray, Float32Array};
 use arrow_data::ArrayData;
 use arrow_schema::DataType;
-use serde_json::{Value, json};
+use serde_json::{json, Value};

 use super::EmbeddingFunction;
 use crate::{Error, Result};
--- a/rust/lancedb/src/embeddings/openai.rs
+++ b/rust/lancedb/src/embeddings/openai.rs
@@ -8,9 +8,9 @@ use arrow_array::{Array, ArrayRef, FixedSizeListArray, Float32Array};
 use arrow_data::ArrayData;
 use arrow_schema::DataType;
 use async_openai::{
-    Client,
    config::OpenAIConfig,
    types::{CreateEmbeddingRequest, Embedding, EmbeddingInput, EncodingFormat},
+    Client,
 };
 use tokio::{runtime::Handle, task};

--- a/rust/lancedb/src/embeddings/sentence_transformers.rs
+++ b/rust/lancedb/src/embeddings/sentence_transformers.rs
@@ -7,7 +7,7 @@ use super::EmbeddingFunction;
 use arrow::{
    array::{AsArray, PrimitiveBuilder},
    datatypes::{
-        ArrowPrimitiveType, Float16Type, Float32Type, Float64Type, Int64Type, UInt8Type, UInt32Type,
+        ArrowPrimitiveType, Float16Type, Float32Type, Float64Type, Int64Type, UInt32Type, UInt8Type,
    },
 };
 use arrow_array::{Array, FixedSizeListArray, PrimitiveArray};
@@ -16,8 +16,8 @@ use arrow_schema::DataType;
 use candle_core::{CpuStorage, Device, Layout, Storage, Tensor};
 use candle_nn::VarBuilder;
 use candle_transformers::models::bert::{BertModel, DTYPE};
-use hf_hub::{Repo, RepoType, api::sync::Api};
-use tokenizers::{PaddingParams, tokenizer::Tokenizer};
+use hf_hub::{api::sync::Api, Repo, RepoType};
+use tokenizers::{tokenizer::Tokenizer, PaddingParams};

 /// Compute embeddings using huggingface sentence-transformers.
 pub struct SentenceTransformersEmbeddingsBuilder {
@@ -230,7 +230,7 @@ impl SentenceTransformersEmbeddings {
            Storage::Cpu(CpuStorage::BF16(_)) => {
                return Err(crate::Error::Runtime {
                    message: "unsupported data type".to_string(),
-                });
+                })
            }
            _ => unreachable!("we already moved the tensor to the CPU device"),
        };
@@ -298,12 +298,12 @@ impl SentenceTransformersEmbeddings {
            DataType::Utf8View => {
                return Err(crate::Error::Runtime {
                    message: "Utf8View not yet implemented".to_string(),
-                });
+                })
            }
            _ => {
                return Err(crate::Error::Runtime {
                    message: "invalid type".to_string(),
-                });
+                })
            }
        };

--- a/rust/lancedb/src/expr.rs
+++ b/rust/lancedb/src/expr.rs
@@ -24,7 +24,7 @@ pub use sql::expr_to_sql_string;
 use std::sync::Arc;

 use arrow_schema::DataType;
-use datafusion_expr::{Expr, ScalarUDF, expr_fn::cast};
+use datafusion_expr::{expr_fn::cast, Expr, ScalarUDF};
 use datafusion_functions::string::expr_fn as string_expr_fn;

 pub use datafusion_expr::{col, lit};
--- a/rust/lancedb/src/index.rs
+++ b/rust/lancedb/src/index.rs
@@ -9,7 +9,7 @@ use std::time::Duration;
 use vector::IvfFlatIndexBuilder;

 use crate::index::vector::IvfRqIndexBuilder;
-use crate::{DistanceType, Error, Result, table::BaseTable};
+use crate::{table::BaseTable, DistanceType, Error, Result};

 use self::{
    scalar::{BTreeIndexBuilder, BitmapIndexBuilder, LabelListIndexBuilder},
--- a/rust/lancedb/src/index/scalar.rs
+++ b/rust/lancedb/src/index/scalar.rs
@@ -27,7 +27,7 @@
 ///
 /// The btree index does not currently have any parameters though parameters such as the
 /// block size may be added in the future.
-#[derive(Default, Debug, Clone, serde::Serialize)]
+#[derive(Default, Debug, Clone)]
 pub struct BTreeIndexBuilder {}

 impl BTreeIndexBuilder {}
@@ -39,7 +39,7 @@ impl BTreeIndexBuilder {}
 /// This index works best for low-cardinality (i.e., less than 1000 unique values) columns,
 /// where the number of unique values is small.
 /// The bitmap stores a list of row ids where the value is present.
-#[derive(Debug, Clone, Default, serde::Serialize)]
+#[derive(Debug, Clone, Default)]
 pub struct BitmapIndexBuilder {}

 /// Builder for LabelList index.
@@ -48,10 +48,10 @@ pub struct BitmapIndexBuilder {}
 /// support queries with `array_contains_all` and `array_contains_any`
 /// using an underlying bitmap index.
 ///
-#[derive(Debug, Clone, Default, serde::Serialize)]
+#[derive(Debug, Clone, Default)]
 pub struct LabelListIndexBuilder {}

+pub use lance_index::scalar::inverted::query::*;
 pub use lance_index::scalar::FullTextSearchQuery;
 pub use lance_index::scalar::InvertedIndexParams as FtsIndexBuilder;
 pub use lance_index::scalar::InvertedIndexParams;
-pub use lance_index::scalar::inverted::query::*;
--- a/rust/lancedb/src/index/vector.rs
+++ b/rust/lancedb/src/index/vector.rs
@@ -7,7 +7,6 @@
 //! Vector indices are only supported on fixed-size-list (tensor) columns of floating point
 //! values
 use lance::table::format::{IndexMetadata, Manifest};
-use serde::Serialize;

 use crate::DistanceType;

@@ -182,17 +181,14 @@ macro_rules! impl_hnsw_params_setter {
 /// The partitioning process is called IVF and the `num_partitions` parameter controls how many groups to create.
 ///
 /// Note that training an IVF Flat index on a large dataset is a slow operation and currently is also a memory intensive operation.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfFlatIndexBuilder {
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,

    // IVF
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,
 }

@@ -217,17 +213,14 @@ impl IvfFlatIndexBuilder {
 ///
 /// This index compresses vectors using scalar quantization and groups them into IVF partitions.
 /// It offers a balance between search performance and storage footprint.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfSqIndexBuilder {
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,

    // IVF
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,
 }

@@ -268,23 +261,18 @@ impl IvfSqIndexBuilder {
 ///
 /// Note that training an IVF PQ index on a large dataset is a slow operation and
 /// currently is also a memory intensive operation.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfPqIndexBuilder {
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,

    // IVF
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,

    // PQ
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_sub_vectors: Option<u32>,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_bits: Option<u32>,
 }

@@ -335,18 +323,14 @@ pub(crate) fn suggested_num_sub_vectors(dim: u32) -> u32 {
 ///
 /// Note that training an IVF RQ index on a large dataset is a slow operation and
 /// currently is also a memory intensive operation.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfRqIndexBuilder {
    // IVF
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_bits: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,
 }

@@ -381,16 +365,13 @@ impl IvfRqIndexBuilder {
 /// quickly find the closest vectors to a query vector.
 ///
 /// The PQ (product quantizer) is used to compress the vectors as the same as IVF PQ.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfHnswPqIndexBuilder {
    // IVF
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,

    // HNSW
@@ -398,9 +379,7 @@ pub struct IvfHnswPqIndexBuilder {
    pub(crate) ef_construction: u32,

    // PQ
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_sub_vectors: Option<u32>,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_bits: Option<u32>,
 }

@@ -436,16 +415,13 @@ impl IvfHnswPqIndexBuilder {
 ///
 /// The SQ (scalar quantizer) is used to compress the vectors,
 /// each vector is mapped to a 8-bit integer vector, 4x compression ratio for float32 vector.
-#[derive(Debug, Clone, Serialize)]
+#[derive(Debug, Clone)]
 pub struct IvfHnswSqIndexBuilder {
    // IVF
-    #[serde(rename = "metric_type")]
    pub(crate) distance_type: DistanceType,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) num_partitions: Option<u32>,
    pub(crate) sample_rate: u32,
    pub(crate) max_iterations: u32,
-    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) target_partition_size: Option<u32>,

    // HNSW
--- a/rust/lancedb/src/index/waiter.rs
+++ b/rust/lancedb/src/index/waiter.rs
@@ -1,9 +1,9 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use crate::Error;
 use crate::error::Result;
 use crate::table::BaseTable;
+use crate::Error;
 use log::debug;
 use std::time::{Duration, Instant};
 use tokio::time::sleep;
--- a/rust/lancedb/src/io/object_store.rs
+++ b/rust/lancedb/src/io/object_store.rs
@@ -5,11 +5,11 @@

 use std::{fmt::Formatter, sync::Arc};

-use futures::{TryFutureExt, stream::BoxStream};
+use futures::{stream::BoxStream, TryFutureExt};
 use lance::io::WrappingObjectStore;
 use object_store::{
-    Error, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore,
-    PutMultipartOptions, PutOptions, PutPayload, PutResult, Result, UploadPart, path::Path,
+    path::Path, Error, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore,
+    PutMultipartOptions, PutOptions, PutPayload, PutResult, Result, UploadPart,
 };

 use async_trait::async_trait;
--- a/rust/lancedb/src/io/object_store/io_tracking.rs
+++ b/rust/lancedb/src/io/object_store/io_tracking.rs
@@ -10,9 +10,8 @@ use bytes::Bytes;
 use futures::stream::BoxStream;
 use lance::io::WrappingObjectStore;
 use object_store::{
-    GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore,
+    path::Path, GetOptions, GetResult, ListResult, MultipartUpload, ObjectMeta, ObjectStore,
    PutMultipartOptions, PutOptions, PutPayload, PutResult, Result as OSResult, UploadPart,
-    path::Path,
 };

 #[derive(Debug, Default)]
--- a/rust/lancedb/src/query.rs
+++ b/rust/lancedb/src/query.rs
@@ -5,26 +5,26 @@ use std::sync::Arc;
 use std::{future::Future, time::Duration};

 use arrow::compute::concat_batches;
-use arrow_array::{Array, Float16Array, Float32Array, Float64Array, make_array};
+use arrow_array::{make_array, Array, Float16Array, Float32Array, Float64Array};
 use arrow_schema::{DataType, SchemaRef};
 use datafusion_expr::Expr;
 use datafusion_physical_plan::ExecutionPlan;
-use futures::{FutureExt, TryFutureExt, TryStreamExt, stream, try_join};
+use futures::{stream, try_join, FutureExt, TryFutureExt, TryStreamExt};
 use half::f16;
-use lance::dataset::{ROW_ID, scanner::DatasetRecordBatchStream};
+use lance::dataset::{scanner::DatasetRecordBatchStream, ROW_ID};
 use lance_arrow::RecordBatchExt;
 use lance_datafusion::exec::execute_plan;
-use lance_index::scalar::FullTextSearchQuery;
 use lance_index::scalar::inverted::SCORE_COL;
+use lance_index::scalar::FullTextSearchQuery;
 use lance_index::vector::DIST_COL;
 use lance_io::stream::RecordBatchStreamAdapter;

-use crate::DistanceType;
 use crate::error::{Error, Result};
 use crate::rerankers::rrf::RRFReranker;
-use crate::rerankers::{NormalizeMethod, Reranker, check_reranker_result};
+use crate::rerankers::{check_reranker_result, NormalizeMethod, Reranker};
 use crate::table::BaseTable;
 use crate::utils::TimeoutStream;
+use crate::DistanceType;
 use crate::{arrow::SendableRecordBatchStream, table::AnyQuery};

 mod hybrid;
@@ -161,11 +161,10 @@ impl IntoQueryVector for &dyn Array {
        if data_type != self.data_type() {
            Err(Error::InvalidInput {
                message: format!(
-                    "failed to create query vector, the input data type was {:?} but the expected data type was {:?}",
-                    self.data_type(),
-                    data_type
-                ),
-            })
+                "failed to create query vector, the input data type was {:?} but the expected data type was {:?}",
+                self.data_type(),
+                data_type
+            )})
        } else {
            let data = self.to_data();
            Ok(make_array(data))
@@ -187,7 +186,7 @@ impl IntoQueryVector for &[f16] {
            DataType::Float32 => {
                let arr: Vec<f32> = self.iter().map(|x| f32::from(*x)).collect();
                Ok(Arc::new(Float32Array::from(arr)))
-            }
+            },
            DataType::Float64 => {
                let arr: Vec<f64> = self.iter().map(|x| f64::from(*x)).collect();
                Ok(Arc::new(Float64Array::from(arr)))
@@ -195,7 +194,8 @@ impl IntoQueryVector for &[f16] {
            _ => Err(Error::InvalidInput {
                message: format!(
                    "failed to create query vector, the input data type was &[f16] but the embedding model \"{}\" expected data type {:?}",
-                    embedding_model_label, data_type
+                    embedding_model_label,
+                    data_type
                ),
            }),
        }
@@ -216,7 +216,7 @@ impl IntoQueryVector for &[f32] {
            DataType::Float32 => {
                let arr: Vec<f32> = self.to_vec();
                Ok(Arc::new(Float32Array::from(arr)))
-            }
+            },
            DataType::Float64 => {
                let arr: Vec<f64> = self.iter().map(|x| *x as f64).collect();
                Ok(Arc::new(Float64Array::from(arr)))
@@ -224,7 +224,8 @@ impl IntoQueryVector for &[f32] {
            _ => Err(Error::InvalidInput {
                message: format!(
                    "failed to create query vector, the input data type was &[f32] but the embedding model \"{}\" expected data type {:?}",
-                    embedding_model_label, data_type
+                    embedding_model_label,
+                    data_type
                ),
            }),
        }
@@ -238,25 +239,26 @@ impl IntoQueryVector for &[f64] {
        embedding_model_label: &str,
    ) -> Result<Arc<dyn Array>> {
        match data_type {
-            DataType::Float16 => {
-                let arr: Vec<f16> = self.iter().map(|x| f16::from_f64(*x)).collect();
-                Ok(Arc::new(Float16Array::from(arr)))
+                DataType::Float16 => {
+                    let arr: Vec<f16> = self.iter().map(|x| f16::from_f64(*x)).collect();
+                    Ok(Arc::new(Float16Array::from(arr)))
+                }
+                DataType::Float32 => {
+                    let arr: Vec<f32> = self.iter().map(|x| *x as f32).collect();
+                    Ok(Arc::new(Float32Array::from(arr)))
+                },
+                DataType::Float64 => {
+                    let arr: Vec<f64> = self.to_vec();
+                    Ok(Arc::new(Float64Array::from(arr)))
+                }
+                _ => Err(Error::InvalidInput {
+                    message: format!(
+                        "failed to create query vector, the input data type was &[f64] but the embedding model \"{}\" expected data type {:?}",
+                        embedding_model_label,
+                        data_type
+                    ),
+                }),
            }
-            DataType::Float32 => {
-                let arr: Vec<f32> = self.iter().map(|x| *x as f32).collect();
-                Ok(Arc::new(Float32Array::from(arr)))
-            }
-            DataType::Float64 => {
-                let arr: Vec<f64> = self.to_vec();
-                Ok(Arc::new(Float64Array::from(arr)))
-            }
-            _ => Err(Error::InvalidInput {
-                message: format!(
-                    "failed to create query vector, the input data type was &[f64] but the embedding model \"{}\" expected data type {:?}",
-                    embedding_model_label, data_type
-                ),
-            }),
-        }
    }
 }

@@ -1009,13 +1011,13 @@ impl VectorQuery {
                message: "minimum_nprobes must be greater than 0".to_string(),
            });
        }
-        if let Some(maximum_nprobes) = self.request.maximum_nprobes
-            && minimum_nprobes > maximum_nprobes
-        {
-            return Err(Error::InvalidInput {
-                message: "minimum_nprobes must be less than or equal to maximum_nprobes"
-                    .to_string(),
-            });
+        if let Some(maximum_nprobes) = self.request.maximum_nprobes {
+            if minimum_nprobes > maximum_nprobes {
+                return Err(Error::InvalidInput {
+                    message: "minimum_nprobes must be less than or equal to maximum_nprobes"
+                        .to_string(),
+                });
+            }
        }
        self.request.minimum_nprobes = minimum_nprobes;
        Ok(self)
@@ -1405,8 +1407,8 @@ mod tests {
    use super::*;
    use arrow::{array::downcast_array, compute::concat_batches, datatypes::Int32Type};
    use arrow_array::{
-        FixedSizeListArray, Float32Array, Int32Array, RecordBatch, StringArray, cast::AsArray,
-        types::Float32Type,
+        cast::AsArray, types::Float32Type, FixedSizeListArray, Float32Array, Int32Array,
+        RecordBatch, StringArray,
    };
    use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema};
    use futures::{StreamExt, TryStreamExt};
@@ -1414,7 +1416,7 @@ mod tests {
    use rand::seq::IndexedRandom;
    use tempfile::tempdir;

-    use crate::{Table, connect, database::CreateTableMode, index::Index};
+    use crate::{connect, database::CreateTableMode, index::Index, Table};

    #[tokio::test]
    async fn test_setters_getters() {
@@ -1752,13 +1754,11 @@ mod tests {
            .limit(1)
            .execute()
            .await;
-        assert!(
-            error_result
-                .err()
-                .unwrap()
-                .to_string()
-                .contains("No vector column found to match with the query vector dimension: 3")
-        );
+        assert!(error_result
+            .err()
+            .unwrap()
+            .to_string()
+            .contains("No vector column found to match with the query vector dimension: 3"));
    }

    #[tokio::test]
@@ -2010,7 +2010,7 @@ mod tests {

        // Sample 1 - 3 tokens for each string value
        let tokens = ["a", "b", "c", "d", "e"];
-        use rand::{Rng, rng};
+        use rand::{rng, Rng};

        let mut rng = rng();
        let text: StringArray = (0..nrows)
--- a/rust/lancedb/src/query/hybrid.rs
+++ b/rust/lancedb/src/query/hybrid.rs
@@ -5,7 +5,7 @@ use arrow::compute::{
    kernels::numeric::{div, sub},
    max, min,
 };
-use arrow_array::{Float32Array, RecordBatch, cast::downcast_array};
+use arrow_array::{cast::downcast_array, Float32Array, RecordBatch};
 use arrow_schema::{DataType, Field, Schema, SortOptions};
 use lance::dataset::ROW_ID;
 use lance_index::{scalar::inverted::SCORE_COL, vector::DIST_COL};
@@ -253,10 +253,7 @@ mod test {
        let result = rank(batch.clone(), "bad_col", None);
        match result {
            Err(Error::InvalidInput { message }) => {
-                assert_eq!(
-                    "expected column bad_col not found in rank. found columns [\"name\", \"score\"]",
-                    message
-                );
+                assert_eq!("expected column bad_col not found in rank. found columns [\"name\", \"score\"]", message);
            }
            _ => {
                panic!("expected invalid input error, received {:?}", result)
--- a/rust/lancedb/src/remote/client.rs
+++ b/rust/lancedb/src/remote/client.rs
@@ -4,8 +4,8 @@
 use http::HeaderName;
 use log::debug;
 use reqwest::{
-    Body, Request, RequestBuilder, Response,
    header::{HeaderMap, HeaderValue},
+    Body, Request, RequestBuilder, Response,
 };
 use std::{collections::HashMap, future::Future, str::FromStr, sync::Arc, time::Duration};

@@ -446,23 +446,13 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
                })?,
            );
        }
-        // 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),
-                    })?,
-                );
-            }
+        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),
+                })?,
+            );
        }

        for (key, value) in &config.extra_headers {
@@ -660,13 +650,14 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
    pub fn extract_request_id(&self, request: &mut Request) -> String {
        // Set a request id.
        // TODO: allow the user to supply this, through middleware?
-        if let Some(request_id) = request.headers().get(REQUEST_ID_HEADER) {
+        let request_id = if let Some(request_id) = request.headers().get(REQUEST_ID_HEADER) {
            request_id.to_str().unwrap().to_string()
        } else {
            let request_id = uuid::Uuid::new_v4().to_string();
            self.set_request_id(request, &request_id);
            request_id
-        }
+        };
+        request_id
    }

    /// Set the request ID header
@@ -1085,34 +1076,4 @@ 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
@@ -16,7 +16,6 @@ use lance_namespace::models::{
    ListNamespacesResponse, ListTablesRequest, ListTablesResponse,
 };

-use crate::Error;
 use crate::database::{
    CloneTableRequest, CreateTableMode, CreateTableRequest, Database, DatabaseOptions,
    OpenTableRequest, ReadConsistency, TableNamesRequest,
@@ -24,11 +23,12 @@ use crate::database::{
 use crate::error::Result;
 use crate::remote::util::stream_as_body;
 use crate::table::BaseTable;
+use crate::Error;

-use super::ARROW_STREAM_CONTENT_TYPE;
 use super::client::{ClientConfig, HttpSend, RequestResultExt, RestfulLanceDbClient, Sender};
 use super::table::RemoteTable;
 use super::util::parse_server_version;
+use super::ARROW_STREAM_CONTENT_TYPE;

 // Request structure for the remote clone table API
 #[derive(serde::Serialize)]
@@ -249,9 +249,9 @@ impl RemoteDatabase {
 #[cfg(all(test, feature = "remote"))]
 mod test_utils {
    use super::*;
-    use crate::remote::ClientConfig;
    use crate::remote::client::test_utils::MockSender;
    use crate::remote::client::test_utils::{client_with_handler, client_with_handler_and_config};
+    use crate::remote::ClientConfig;

    impl RemoteDatabase<MockSender> {
        pub fn new_mock<F, T>(handler: F) -> Self
@@ -464,7 +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
@@ -778,12 +777,7 @@ impl RemoteOptions {

 impl From<StorageOptions> for RemoteOptions {
    fn from(options: StorageOptions) -> Self {
-        let supported_opts = vec![
-            "account_name",
-            "azure_storage_account_name",
-            "azure_client_id",
-            "azure_tenant_id",
-        ];
+        let supported_opts = vec!["account_name", "azure_storage_account_name"];
        let mut filtered = HashMap::new();
        for opt in supported_opts {
            if let Some(v) = options.0.get(opt) {
@@ -805,9 +799,9 @@ mod tests {

    use crate::connection::ConnectBuilder;
    use crate::{
-        Connection, Error,
        database::CreateTableMode,
-        remote::{ARROW_STREAM_CONTENT_TYPE, ClientConfig, HeaderProvider, JSON_CONTENT_TYPE},
+        remote::{ClientConfig, HeaderProvider, ARROW_STREAM_CONTENT_TYPE, JSON_CONTENT_TYPE},
+        Connection, Error,
    };

    #[test]
--- a/rust/lancedb/src/remote/retry.rs
+++ b/rust/lancedb/src/remote/retry.rs
@@ -1,8 +1,8 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use crate::Error;
 use crate::remote::RetryConfig;
+use crate::Error;
 use log::debug;
 use std::time::Duration;

--- a/rust/lancedb/src/remote/table.rs
+++ b/rust/lancedb/src/remote/table.rs
@@ -6,14 +6,15 @@ pub mod insert;
 use self::insert::RemoteInsertExec;
 use crate::expr::expr_to_sql_string;

-use super::ARROW_STREAM_CONTENT_TYPE;
 use super::client::RequestResultExt;
 use super::client::{HttpSend, RestfulLanceDbClient, Sender};
 use super::db::ServerVersion;
+use super::ARROW_STREAM_CONTENT_TYPE;
+use crate::index::waiter::wait_for_index;
 use crate::index::Index;
 use crate::index::IndexStatistics;
-use crate::index::waiter::wait_for_index;
 use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest};
+use crate::table::query::create_multi_vector_plan;
 use crate::table::AddColumnsResult;
 use crate::table::AddResult;
 use crate::table::AlterColumnsResult;
@@ -22,20 +23,19 @@ use crate::table::DropColumnsResult;
 use crate::table::MergeResult;
 use crate::table::Tags;
 use crate::table::UpdateResult;
-use crate::table::query::create_multi_vector_plan;
 use crate::table::{AnyQuery, Filter, TableStatistics};
 use crate::utils::background_cache::BackgroundCache;
 use crate::utils::{supported_btree_data_type, supported_vector_data_type};
-use crate::{DistanceType, Error};
 use crate::{
    error::Result,
    index::{IndexBuilder, IndexConfig},
    query::QueryExecutionOptions,
    table::{
-        AddDataBuilder, BaseTable, OptimizeAction, OptimizeStats, TableDefinition, UpdateBuilder,
-        merge::MergeInsertBuilder,
+        merge::MergeInsertBuilder, AddDataBuilder, BaseTable, OptimizeAction, OptimizeStats,
+        TableDefinition, UpdateBuilder,
    },
 };
+use crate::{DistanceType, Error};
 use arrow_array::{RecordBatch, RecordBatchIterator, RecordBatchReader};
 use arrow_ipc::reader::FileReader;
 use arrow_schema::{DataType, SchemaRef};
@@ -50,7 +50,7 @@ use lance::arrow::json::{JsonDataType, JsonSchema};
 use lance::dataset::refs::TagContents;
 use lance::dataset::scanner::DatasetRecordBatchStream;
 use lance::dataset::{ColumnAlteration, NewColumnTransform, Version};
-use lance_datafusion::exec::{OneShotExec, execute_plan};
+use lance_datafusion::exec::{execute_plan, OneShotExec};
 use reqwest::{RequestBuilder, Response};
 use serde::{Deserialize, Serialize};
 use serde_json::Number;
@@ -612,8 +612,8 @@ impl<S: HttpSend> RemoteTable<S> {
                message: format!(
                    "Cannot mutate table reference fixed at version {}. Call checkout_latest() to get a mutable table reference.",
                    version
-                ),
-            }),
+                )
+            })
        }
    }

@@ -697,10 +697,10 @@ impl<S: HttpSend> RemoteTable<S> {
            Error::Retry { status_code, .. } => *status_code,
            _ => None,
        };
-        if let Some(status_code) = status_code
-            && Self::should_invalidate_cache_for_status(status_code)
-        {
-            self.invalidate_schema_cache();
+        if let Some(status_code) = status_code {
+            if Self::should_invalidate_cache_for_status(status_code) {
+                self.invalidate_schema_cache();
+            }
        }
    }
 }
@@ -783,9 +783,9 @@ impl<S: HttpSend> std::fmt::Display for RemoteTable<S> {
 #[cfg(all(test, feature = "remote"))]
 mod test_utils {
    use super::*;
-    use crate::remote::ClientConfig;
    use crate::remote::client::test_utils::client_with_handler;
-    use crate::remote::client::test_utils::{MockSender, client_with_handler_and_config};
+    use crate::remote::client::test_utils::{client_with_handler_and_config, MockSender};
+    use crate::remote::ClientConfig;

    impl RemoteTable<MockSender> {
        pub fn new_mock<F, T>(name: String, handler: F, version: Option<semver::Version>) -> Self
@@ -1227,10 +1227,7 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        let body = response.text().await.err_to_http(request_id.clone())?;
        if body.trim().is_empty() {
            // Backward compatible with old servers
-            return Ok(DeleteResult {
-                num_deleted_rows: 0,
-                version: 0,
-            });
+            return Ok(DeleteResult { version: 0 });
        }
        let delete_response: DeleteResult =
            serde_json::from_str(&body).map_err(|e| Error::Http {
@@ -1251,13 +1248,13 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
            0 => {
                return Err(Error::InvalidInput {
                    message: "No columns specified".into(),
-                });
+                })
            }
            1 => index.columns.pop().unwrap(),
            _ => {
                return Err(Error::NotSupported {
                    message: "Indices over multiple columns not yet supported".into(),
-                });
+                })
            }
        };
        let mut body = serde_json::json!({
@@ -1276,24 +1273,73 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
            );
        }

-        fn to_json(params: &impl serde::Serialize) -> crate::Result<serde_json::Value> {
-            serde_json::to_value(params).map_err(|e| Error::InvalidInput {
-                message: format!("failed to serialize index params {:?}", e),
-            })
-        }
-
-        // Map each Index variant to its wire type name and serializable params.
-        // Auto is special-cased since it needs schema inspection.
-        let (index_type_str, params) = match &index.index {
-            Index::IvfFlat(p) => ("IVF_FLAT", Some(to_json(p)?)),
-            Index::IvfPq(p) => ("IVF_PQ", Some(to_json(p)?)),
-            Index::IvfSq(p) => ("IVF_SQ", Some(to_json(p)?)),
-            Index::IvfHnswSq(p) => ("IVF_HNSW_SQ", Some(to_json(p)?)),
-            Index::IvfRq(p) => ("IVF_RQ", Some(to_json(p)?)),
-            Index::BTree(p) => ("BTREE", Some(to_json(p)?)),
-            Index::Bitmap(p) => ("BITMAP", Some(to_json(p)?)),
-            Index::LabelList(p) => ("LABEL_LIST", Some(to_json(p)?)),
-            Index::FTS(p) => ("FTS", Some(to_json(p)?)),
+        match index.index {
+            // TODO: Should we pass the actual index parameters? SaaS does not
+            // yet support them.
+            Index::IvfFlat(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_FLAT".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+            }
+            Index::IvfPq(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_PQ".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+                if let Some(num_bits) = index.num_bits {
+                    body["num_bits"] = serde_json::Value::Number(num_bits.into());
+                }
+            }
+            Index::IvfSq(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_SQ".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+            }
+            Index::IvfHnswSq(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_HNSW_SQ".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+            }
+            Index::IvfRq(index) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_RQ".to_string());
+                body[METRIC_TYPE_KEY] =
+                    serde_json::Value::String(index.distance_type.to_string().to_lowercase());
+                if let Some(num_partitions) = index.num_partitions {
+                    body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
+                }
+                if let Some(num_bits) = index.num_bits {
+                    body["num_bits"] = serde_json::Value::Number(num_bits.into());
+                }
+            }
+            Index::BTree(_) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("BTREE".to_string());
+            }
+            Index::Bitmap(_) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("BITMAP".to_string());
+            }
+            Index::LabelList(_) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("LABEL_LIST".to_string());
+            }
+            Index::FTS(fts) => {
+                body[INDEX_TYPE_KEY] = serde_json::Value::String("FTS".to_string());
+                let params = serde_json::to_value(&fts).map_err(|e| Error::InvalidInput {
+                    message: format!("failed to serialize FTS index params {:?}", e),
+                })?;
+                for (key, value) in params.as_object().unwrap() {
+                    body[key] = value.clone();
+                }
+            }
            Index::Auto => {
                let schema = self.schema().await?;
                let field = schema
@@ -1302,11 +1348,11 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
                        message: format!("Column {} not found in schema", column),
                    })?;
                if supported_vector_data_type(field.data_type()) {
+                    body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_PQ".to_string());
                    body[METRIC_TYPE_KEY] =
                        serde_json::Value::String(DistanceType::L2.to_string().to_lowercase());
-                    ("IVF_PQ", None)
                } else if supported_btree_data_type(field.data_type()) {
-                    ("BTREE", None)
+                    body[INDEX_TYPE_KEY] = serde_json::Value::String("BTREE".to_string());
                } else {
                    return Err(Error::NotSupported {
                        message: format!(
@@ -1320,17 +1366,10 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
            _ => {
                return Err(Error::NotSupported {
                    message: "Index type not supported".into(),
-                });
+                })
            }
        };

-        body[INDEX_TYPE_KEY] = index_type_str.into();
-        if let Some(params) = params {
-            for (key, value) in params.as_object().expect("params should be a JSON object") {
-                body[key] = value.clone();
-            }
-        }
-
        let request = request.json(&body);

        let (request_id, response) = self.send(request, true).await?;
@@ -1771,8 +1810,8 @@ impl TryFrom<MergeInsertBuilder> for MergeInsertRequest {

 #[cfg(test)]
 mod tests {
-    use std::sync::Arc;
    use std::sync::atomic::{AtomicUsize, Ordering};
+    use std::sync::Arc;
    use std::time::Duration;
    use std::{collections::HashMap, pin::Pin};

@@ -1781,27 +1820,25 @@ mod tests {
    use crate::table::AddDataMode;

    use arrow::{array::AsArray, compute::concat_batches, datatypes::Int32Type};
-    use arrow_array::{Int32Array, RecordBatch, RecordBatchIterator, record_batch};
+    use arrow_array::{record_batch, Int32Array, RecordBatch, RecordBatchIterator};
    use arrow_schema::{DataType, Field, Schema};
    use chrono::{DateTime, Utc};
-    use futures::{StreamExt, TryFutureExt, future::BoxFuture};
+    use futures::{future::BoxFuture, StreamExt, TryFutureExt};
    use lance_index::scalar::inverted::query::MatchQuery;
    use lance_index::scalar::{FullTextSearchQuery, InvertedIndexParams};
    use reqwest::Body;
    use rstest::rstest;
    use serde_json::json;

-    use crate::index::vector::{
-        IvfFlatIndexBuilder, IvfHnswSqIndexBuilder, IvfRqIndexBuilder, IvfSqIndexBuilder,
-    };
-    use crate::remote::JSON_CONTENT_TYPE;
+    use crate::index::vector::{IvfFlatIndexBuilder, IvfHnswSqIndexBuilder};
    use crate::remote::db::DEFAULT_SERVER_VERSION;
+    use crate::remote::JSON_CONTENT_TYPE;
    use crate::utils::background_cache::clock;
    use crate::{
-        DistanceType, Error, Table,
-        index::{Index, IndexStatistics, IndexType, vector::IvfPqIndexBuilder},
+        index::{vector::IvfPqIndexBuilder, Index, IndexStatistics, IndexType},
        query::{ExecutableQuery, QueryBase},
        remote::ARROW_FILE_CONTENT_TYPE,
+        DistanceType, Error, Table,
    };

    #[tokio::test]
@@ -2030,13 +2067,11 @@ mod tests {
                    .unwrap(),
                "/v1/table/my_table/insert/" => {
                    assert_eq!(request.method(), "POST");
-                    assert!(
-                        request
-                            .url()
-                            .query_pairs()
-                            .filter(|(k, _)| k == "mode")
-                            .all(|(_, v)| v == "append")
-                    );
+                    assert!(request
+                        .url()
+                        .query_pairs()
+                        .filter(|(k, _)| k == "mode")
+                        .all(|(_, v)| v == "append"));
                    assert_eq!(
                        request.headers().get("Content-Type").unwrap(),
                        ARROW_STREAM_CONTENT_TYPE
@@ -2957,8 +2992,6 @@ mod tests {
                "IVF_FLAT",
                json!({
                    "metric_type": "hamming",
-                    "sample_rate": 256,
-                    "max_iterations": 50,
                }),
                Index::IvfFlat(IvfFlatIndexBuilder::default().distance_type(DistanceType::Hamming)),
            ),
@@ -2967,8 +3000,6 @@ mod tests {
                json!({
                    "metric_type": "hamming",
                    "num_partitions": 128,
-                    "sample_rate": 256,
-                    "max_iterations": 50,
                }),
                Index::IvfFlat(
                    IvfFlatIndexBuilder::default()
@@ -2980,8 +3011,6 @@ mod tests {
                "IVF_PQ",
                json!({
                    "metric_type": "l2",
-                    "sample_rate": 256,
-                    "max_iterations": 50,
                }),
                Index::IvfPq(Default::default()),
            ),
@@ -2991,8 +3020,6 @@ mod tests {
                    "metric_type": "cosine",
                    "num_partitions": 128,
                    "num_bits": 4,
-                    "sample_rate": 256,
-                    "max_iterations": 50,
                }),
                Index::IvfPq(
                    IvfPqIndexBuilder::default()
@@ -3001,29 +3028,10 @@ mod tests {
                        .num_bits(4),
                ),
            ),
-            (
-                "IVF_PQ",
-                json!({
-                    "metric_type": "l2",
-                    "num_sub_vectors": 16,
-                    "sample_rate": 512,
-                    "max_iterations": 100,
-                }),
-                Index::IvfPq(
-                    IvfPqIndexBuilder::default()
-                        .num_sub_vectors(16)
-                        .sample_rate(512)
-                        .max_iterations(100),
-                ),
-            ),
            (
                "IVF_HNSW_SQ",
                json!({
                    "metric_type": "l2",
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                    "m": 20,
-                    "ef_construction": 300,
                }),
                Index::IvfHnswSq(Default::default()),
            ),
@@ -3032,65 +3040,11 @@ mod tests {
                json!({
                    "metric_type": "l2",
                    "num_partitions": 128,
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                    "m": 40,
-                    "ef_construction": 500,
                }),
                Index::IvfHnswSq(
                    IvfHnswSqIndexBuilder::default()
                        .distance_type(DistanceType::L2)
-                        .num_partitions(128)
-                        .num_edges(40)
-                        .ef_construction(500),
-                ),
-            ),
-            (
-                "IVF_SQ",
-                json!({
-                    "metric_type": "l2",
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                }),
-                Index::IvfSq(Default::default()),
-            ),
-            (
-                "IVF_SQ",
-                json!({
-                    "metric_type": "cosine",
-                    "num_partitions": 64,
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                }),
-                Index::IvfSq(
-                    IvfSqIndexBuilder::default()
-                        .distance_type(DistanceType::Cosine)
-                        .num_partitions(64),
-                ),
-            ),
-            (
-                "IVF_RQ",
-                json!({
-                    "metric_type": "l2",
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                }),
-                Index::IvfRq(Default::default()),
-            ),
-            (
-                "IVF_RQ",
-                json!({
-                    "metric_type": "cosine",
-                    "num_partitions": 64,
-                    "num_bits": 8,
-                    "sample_rate": 256,
-                    "max_iterations": 50,
-                }),
-                Index::IvfRq(
-                    IvfRqIndexBuilder::default()
-                        .distance_type(DistanceType::Cosine)
-                        .num_partitions(64)
-                        .num_bits(8),
+                        .num_partitions(128),
                ),
            ),
            // HNSW_PQ isn't yet supported on SaaS
@@ -3594,7 +3548,7 @@ mod tests {
    }

    fn _make_table_with_indices(unindexed_rows: usize) -> Table {
-        Table::new_with_handler("my_table", move |request| {
+        let table = Table::new_with_handler("my_table", move |request| {
            assert_eq!(request.method(), "POST");

            let response_body = match request.url().path() {
@@ -3638,7 +3592,8 @@ mod tests {
            let body = serde_json::to_string(&response_body).unwrap();
            let status = if body == "null" { 404 } else { 200 };
            http::Response::builder().status(status).body(body).unwrap()
-        })
+        });
+        table
    }

    #[tokio::test]
@@ -3849,8 +3804,8 @@ mod tests {

    #[tokio::test]
    async fn test_uri_caching() {
-        use std::sync::Arc;
        use std::sync::atomic::{AtomicUsize, Ordering};
+        use std::sync::Arc;

        let call_count = Arc::new(AtomicUsize::new(0));
        let call_count_clone = call_count.clone();
--- a/rust/lancedb/src/remote/table/insert.rs
+++ b/rust/lancedb/src/remote/table/insert.rs
@@ -16,12 +16,12 @@ use datafusion_physical_plan::{DisplayAs, DisplayFormatType, ExecutionPlan, Plan
 use futures::StreamExt;
 use http::header::CONTENT_TYPE;

-use crate::Error;
-use crate::remote::ARROW_STREAM_CONTENT_TYPE;
 use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender};
 use crate::remote::table::RemoteTable;
-use crate::table::AddResult;
+use crate::remote::ARROW_STREAM_CONTENT_TYPE;
 use crate::table::datafusion::insert::COUNT_SCHEMA;
+use crate::table::AddResult;
+use crate::Error;

 /// ExecutionPlan for inserting data into a remote LanceDB table.
 ///
@@ -309,12 +309,12 @@ mod tests {
    use arrow_schema::{DataType, Field, Schema as ArrowSchema};
    use datafusion::prelude::SessionContext;
    use datafusion_catalog::MemTable;
-    use std::sync::Arc;
    use std::sync::atomic::{AtomicUsize, Ordering};
+    use std::sync::Arc;

-    use crate::Table;
    use crate::remote::ARROW_STREAM_CONTENT_TYPE;
    use crate::table::datafusion::BaseTableAdapter;
+    use crate::Table;

    fn schema_json() -> &'static str {
        r#"{"fields": [{"name": "id", "type": {"type": "int32"}, "nullable": true}]}"#
--- a/Show More
+++ b/Show More