Bump version: 0.39.0-beta.4 → 0.39.0-beta.5

2026-09-11 15:52:17 +00:00 · 2026-09-08 12:03:14 +00:00
66 changed files with 184 additions and 1226 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.39.0-beta.6"
+current_version = "0.39.0-beta.5"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -1,20 +0,0 @@
-name: Typo checker
-on:
-  push:
-    branches:
-      - main
-  pull_request:
-
-permissions:
-  contents: read
-
-jobs:
-  run:
-    name: Spell Check with Typos
-    runs-on: ubuntu-latest
-    steps:
-      - name: Check out code
-        uses: actions/checkout@v6
-
-      - name: Check spelling of the entire repository
-        uses: crate-ci/typos@6802cc60d4e7f78b9d5454f6cf3935c042d5e1e3 # v1.26.0
@@ -10,10 +10,6 @@ repos:
    rev: v0.9.9
    hooks:
      - id: ruff
-  - repo: https://github.com/crate-ci/typos
-    rev: v1.26.0
-    hooks:
-      - id: typos
  # - repo: https://github.com/RobertCraigie/pyright-python
  #   rev: v1.1.395
  #   hooks:
@@ -1,19 +0,0 @@
-[default]
-extend-ignore-re = ["(?Rm)^.*(#|//)\\s*spellchecker:disable-line$"]
-
-[default.extend-words]
-# Azure Kubernetes Service, mentioned in rust/lancedb/src/remote/oauth.rs.
-AKS = "AKS"
-# RabitQ is the name of a vector quantization algorithm, not a typo of "Rabbit".
-Rabit = "Rabit"
-# `VarBuilder::from_mmaped_safetensors` is the real (if oddly-spelled) name of
-# the candle-core API we call in rust/lancedb/src/embeddings/sentence_transformers.rs.
-mmaped = "mmaped"
-# `WriteableBuffer` is the real name of a type from Python's `_typeshed` stubs,
-# used in python/python/lancedb/_blob.py.
-Writeable = "Writeable"
-
-[files]
-extend-exclude = [
-    "*_THIRD_PARTY_LICENSES.*",
-]
@@ -3526,8 +3526,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"

 [[package]]
 name = "fsst"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "rand 0.9.5",
@@ -4886,8 +4886,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"

 [[package]]
 name = "lance"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -4959,8 +4959,8 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4982,7 +4982,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-scalar"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4996,7 +4996,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-stats"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5005,8 +5005,8 @@ dependencies = [

 [[package]]
 name = "lance-bitpacking"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrayref",
 "crunchy",
@@ -5016,8 +5016,8 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5054,8 +5054,8 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5085,8 +5085,8 @@ dependencies = [

 [[package]]
 name = "lance-datagen"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5103,8 +5103,8 @@ dependencies = [

 [[package]]
 name = "lance-derive"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "proc-macro2",
 "quote",
@@ -5113,8 +5113,8 @@ dependencies = [

 [[package]]
 name = "lance-encoding"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5147,8 +5147,8 @@ dependencies = [

 [[package]]
 name = "lance-file"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5179,8 +5179,8 @@ dependencies = [

 [[package]]
 name = "lance-index"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -5244,8 +5244,8 @@ dependencies = [

 [[package]]
 name = "lance-index-core"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5267,8 +5267,8 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5308,8 +5308,8 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5323,8 +5323,8 @@ dependencies = [

 [[package]]
 name = "lance-namespace"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "async-trait",
@@ -5338,8 +5338,8 @@ dependencies = [

 [[package]]
 name = "lance-namespace-impls"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "arrow-ipc",
@@ -5392,8 +5392,8 @@ dependencies = [

 [[package]]
 name = "lance-select"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5407,8 +5407,8 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5448,8 +5448,8 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5462,8 +5462,8 @@ dependencies = [

 [[package]]
 name = "lance-tokenizer"
-version = "12.0.0-beta.16"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.16#f7df098f5860cf9b3ac5339e7a641430cfbc6351"
+version = "12.0.0-beta.14"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.14#a8a101774a1c9647065cc60137094feadbe55296"
 dependencies = [
 "frostem",
 "icu_segmenter",
@@ -5476,7 +5476,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.4"
 dependencies = [
 "ahash",
 "anyhow",
@@ -5567,7 +5567,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.4"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5592,7 +5592,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.4"
 dependencies = [
 "arrow",
 "async-trait",
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=12.0.0-beta.16", default-features = false, "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=12.0.0-beta.16", default-features = false, "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=12.0.0-beta.16", default-features = false, "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=12.0.0-beta.16", "tag" = "v12.0.0-beta.16", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=12.0.0-beta.14", default-features = false, "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=12.0.0-beta.14", "tag" = "v12.0.0-beta.14", "git" = "https://github.com/lance-format/lance.git" }
 lancedb = { path = "rust/lancedb", default-features = false }
 ahash = "0.8"
 # Note that this one does not include pyarrow
@@ -155,7 +155,7 @@ paths:
                vector:
                  type: FixedSizeList
                  description: |
-                    The targeted vector to search for. Required.
+                    The targetted vector to search for. Required.
                vector_column:
                  type: string
                  description: |
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
 <dependency>
    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-core</artifactId>
-    <version>0.39.0-beta.6</version>
+    <version>0.39.0-beta.5</version>
 </dependency>
 ```

@@ -141,7 +141,7 @@ Currently this causes multiple copies of the row to be created
 but that behavior is subject to change.

 An optional condition may be specified.  If it is, then only
-matched rows that satisfy the condition will be updated.  Any
+matched rows that satisfy the condtion will be updated.  Any
 rows that do not satisfy the condition will be left as they
 are.  Failing to satisfy the condition does not cause a
 "matched row" to become a "not matched" row.
@@ -1266,7 +1266,7 @@ value is 0")
 Note: if your condition is something like "some_id_column == 7" and
 you are updating many rows (with different ids) then you will get
 better performance with a single [`merge_insert`] call instead of
-repeatedly calling this method.
+repeatedly calilng this method.

 ##### Parameters

@@ -118,7 +118,7 @@ Number of sub-vectors of PQ.
 This value controls how much the vector is compressed during the quantization step.
 The more sub vectors there are the less the vector is compressed.  The default is
 the dimension of the vector divided by 16.  If the dimension is not evenly divisible
-by 16 we use the dimension divided by 8.
+by 16 we use the dimension divded by 8.

 The above two cases are highly preferred.  Having 8 or 16 values per subvector allows
 us to use efficient SIMD instructions.
@@ -16,7 +16,7 @@ optional config: Index;

 Advanced index configuration

-This option allows you to specify a specific index to create and also
+This option allows you to specify a specfic index to create and also
 allows you to pass in configuration for training the index.

 See the static methods on Index for details on the various index types.
@@ -112,7 +112,7 @@ Number of sub-vectors of PQ.
 This value controls how much the vector is compressed during the quantization step.
 The more sub vectors there are the less the vector is compressed.  The default is
 the dimension of the vector divided by 16.  If the dimension is not evenly divisible
-by 16 we use the dimension divided by 8.
+by 16 we use the dimension divded by 8.

 The above two cases are highly preferred.  Having 8 or 16 values per subvector allows
 us to use efficient SIMD instructions.
@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.39.0-beta.6</version>
+      <version>0.39.0-beta.5</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

@@ -6,7 +6,7 @@

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.39.0-beta.6</version>
+    <version>0.39.0-beta.5</version>
    <packaging>pom</packaging>
    <name>${project.artifactId}</name>
    <description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <arrow.version>15.0.0</arrow.version>
-        <lance-core.version>12.0.0-beta.16</lance-core.version>
+        <lance-core.version>12.0.0-beta.14</lance-core.version>
        <spotless.skip>false</spotless.skip>
        <spotless.version>2.30.0</spotless.version>
        <spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.5"
 publish = false
 license.workspace = true
 description.workspace = true
@@ -44,6 +44,6 @@ aws-lc-rs = "=1.16.3"
 napi-build = "2.3.1"

 [features]
-default = ["remote", "lancedb/sql", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/goosefs", "lancedb/metrics-otel"]
+default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/goosefs", "lancedb/metrics-otel"]
 fp16kernels = ["lancedb/fp16kernels"]
 remote = ["lancedb/remote"]
@@ -281,7 +281,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
        numIndices: 0,
        numRows: 3,
        // Full on-disk size of the two data files, footers and metadata included.
-        totalBytes: 550,
+        totalBytes: 684,
      });

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

    it("should overwrite data if asked", async () => {
@@ -3252,7 +3252,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      const db = await connect(tmpDir.name);
      const data = [
        { text: "fa", vector: [0.1, 0.2, 0.3] },
-        { text: "fo", vector: [0.4, 0.5, 0.6] }, // spellchecker:disable-line
+        { text: "fo", vector: [0.4, 0.5, 0.6] },
        { text: "fob", vector: [0.4, 0.5, 0.6] },
        { text: "focus", vector: [0.4, 0.5, 0.6] },
        { text: "foo", vector: [0.4, 0.5, 0.6] },
@@ -3277,7 +3277,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      const resultSet = new Set(fuzzyResults.map((r) => r.text));
      expect(resultSet.has("foo")).toBe(true);
      expect(resultSet.has("fob")).toBe(true);
-      expect(resultSet.has("fo")).toBe(true); // spellchecker:disable-line
+      expect(resultSet.has("fo")).toBe(true);
      expect(resultSet.has("food")).toBe(true);

      const prefixResults = await table
@@ -600,7 +600,7 @@ function makeVector(
  }
  if (values.length === 0) {
    throw Error(
-      "makeVector requires at least one value or the type must be specified",
+      "makeVector requires at least one value or the type must be specfied",
    );
  }
  const sampleValue = values.find((val) => val !== null && val !== undefined);
@@ -858,7 +858,7 @@ async function applyEmbeddings<T>(
 * customized by the `embeddingDataType` property of the embedding function.
 *
 * If a schema is provided in `makeTableOptions` then it should include the
- * embedding columns.  If no schema is provided then embedding columns will
+ * embedding columns.  If no schema is provded then embedding columns will
 * be placed at the end of the table, after all of the input columns.
 */
 export async function convertToTable(
@@ -26,7 +26,7 @@ export interface IvfPqOptions {
   * This value controls how much the vector is compressed during the quantization step.
   * The more sub vectors there are the less the vector is compressed.  The default is
   * the dimension of the vector divided by 16.  If the dimension is not evenly divisible
-   * by 16 we use the dimension divided by 8.
+   * by 16 we use the dimension divded by 8.
   *
   * The above two cases are highly preferred.  Having 8 or 16 values per subvector allows
   * us to use efficient SIMD instructions.
@@ -228,7 +228,7 @@ export interface HnswPqOptions {
   * This value controls how much the vector is compressed during the quantization step.
   * The more sub vectors there are the less the vector is compressed.  The default is
   * the dimension of the vector divided by 16.  If the dimension is not evenly divisible
-   * by 16 we use the dimension divided by 8.
+   * by 16 we use the dimension divded by 8.
   *
   * The above two cases are highly preferred.  Having 8 or 16 values per subvector allows
   * us to use efficient SIMD instructions.
@@ -825,7 +825,7 @@ export interface IndexOptions {
  /**
   * Advanced index configuration
   *
-   * This option allows you to specify a specific index to create and also
+   * This option allows you to specify a specfic index to create and also
   * allows you to pass in configuration for training the index.
   *
   * See the static methods on Index for details on the various index types.
@@ -27,7 +27,7 @@ export class MergeInsertBuilder {
   * but that behavior is subject to change.
   *
   * An optional condition may be specified.  If it is, then only
-   * matched rows that satisfy the condition will be updated.  Any
+   * matched rows that satisfy the condtion will be updated.  Any
   * rows that do not satisfy the condition will be left as they
   * are.  Failing to satisfy the condition does not cause a
   * "matched row" to become a "not matched" row.
@@ -3,7 +3,7 @@

 // The utilities in this file help sanitize data from the user's arrow
 // library into the types expected by vectordb's arrow library.  Node
-// generally allows for multiple versions of the same library (and sometimes
+// generally allows for mulitple versions of the same library (and sometimes
 // even multiple copies of the same version) to be installed at the same
 // time.  However, arrow-js uses instanceof which expected that the input
 // comes from the exact same library instance.  This is not always the case
@@ -313,7 +313,7 @@ export abstract class Table {
   * Note: if your condition is something like "some_id_column == 7" and
   * you are updating many rows (with different ids) then you will get
   * better performance with a single [`merge_insert`] call instead of
-   * repeatedly calling this method.
+   * repeatedly calilng this method.
   * @param {Map<string, string> | Record<string, string>} updates - the
   * columns to update
   * @returns {Promise<UpdateResult>} A promise that resolves to an object
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.39.0-beta.6",
+  "version": "0.39.0-beta.5",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.39.0-beta.6",
+	"version": "0.39.0-beta.5",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.39.0-beta.6",
+  "version": "0.39.0-beta.5",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.5"
 publish = false
 edition.workspace = true
 description = "Python bindings for LanceDB"
@@ -47,6 +47,6 @@ libc = "0.2"
 pyo3-build-config = { version = "0.28", features = ["abi3-py310"] }

 [features]
-default = ["remote", "lancedb/sql", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/cos", "lancedb/goosefs", "lancedb/metrics-otel"]
+default = ["remote", "lancedb/aws", "lancedb/gcs", "lancedb/azure", "lancedb/dynamodb", "lancedb/oss", "lancedb/huggingface", "lancedb/cos", "lancedb/goosefs", "lancedb/metrics-otel"]
 fp16kernels = ["lancedb/fp16kernels"]
 remote = ["lancedb/remote"]
@@ -21,7 +21,7 @@ class GteEmbeddings(TextEmbeddingFunction):
    An embedding function that uses GTE-LARGE MLX format(for Apple silicon devices only)
    as well as the standard cpu/gpu version from: https://huggingface.co/thenlper/gte-large.

-    For Apple users, you will need the mlx package installed, which can be done with:
+    For Apple users, you will need the mlx package insalled, which can be done with:
        pip install mlx

    Parameters
@@ -60,7 +60,7 @@ class InstructorEmbeddingFunction(TextEmbeddingFunction):

    import lancedb
    from lancedb.pydantic import LanceModel, Vector
-    from lancedb.embeddings import get_registry, InstructorEmbeddingFunction
+    from lancedb.embeddings import get_registry, InstuctorEmbeddingFunction

    instructor = get_registry().get("instructor").create(
        source_instruction="represent the document for retrieval",
@@ -751,7 +751,7 @@ class IvfPq:
        This value controls how much the vector is compressed during the
        quantization step.  The more sub vectors there are the less the vector is
        compressed.  The default is the dimension of the vector divided by 16.  If
-        the dimension is not evenly divisible by 16 we use the dimension divided by
+        the dimension is not evenly divisible by 16 we use the dimension divded by
        8.

        The above two cases are highly preferred.  Having 8 or 16 values per
@@ -78,10 +78,6 @@ if TYPE_CHECKING:
 T = TypeVar("T", bound="LanceModel")
 AnalyzePlanDistributedMetrics = Literal["aggregate", "per_worker", "full"]

-# Number of rows a hybrid query returns when no limit was set on it. This
-# mirrors the default the Rust query builder applies to its sub-queries.
-DEFAULT_HYBRID_LIMIT = 10
-

@runtime_checkable
 class _LanceScanner(Protocol):
@@ -863,7 +859,7 @@ class Query(pydantic.BaseModel):
        return query

    # This tells pydantic to allow custom types (needed for the `vector` query since
-    # pa.Array wouldn't be allowed otherwise)
+    # pa.Array wouln't be allowed otherwise)
    model_config = pydantic.ConfigDict(arbitrary_types_allowed=True)


@@ -3897,54 +3893,14 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):

        return self

-    def _create_child_queries(
-        self,
-    ) -> Tuple["AsyncFTSQuery", "AsyncVectorQuery", int, int]:
-        """Build the sub-queries that make up this hybrid query.
-
-        Execution, `explain_plan` and `analyze_plan` all go through here so that
-        the plans that are reported are the plans that actually run.
-
-        Returns the two sub-queries along with the effective limit and offset of
-        the hybrid query itself.
-        """
-        fts_query = AsyncFTSQuery(self._inner.to_fts_query(), self._table)
-        vec_query = AsyncVectorQuery(self._inner.to_vector_query(), self._table)
-
-        fts_req = fts_query._inner.to_query_request()
-        vec_req = vec_query._inner.to_query_request()
-
-        # Only one of the two sub-queries carries the limit when it was never
-        # set explicitly: nearest_to()/nearest_to_text() build the sibling query
-        # from scratch, and that is where the default gets filled in. Which one
-        # that is depends on the order the hybrid query was built in, so look at
-        # both rather than at a single side.
-        limit = fts_req.limit if fts_req.limit is not None else vec_req.limit
-        if limit is None:
-            limit = DEFAULT_HYBRID_LIMIT
-        offset = fts_req.offset or vec_req.offset or 0
-
-        fts_query.with_row_id()
-        vec_query.with_row_id()
-
-        # offset() pushes the offset down into both sub-queries, which would make
-        # each of them skip its own first `offset` rows. The window has to be
-        # taken out of the combined, reranked results instead, so fetch the
-        # skipped prefix here too and slice it off afterwards.
-        fts_query.limit(limit + offset)
-        vec_query.limit(limit + offset)
-        fts_query.offset(0)
-        vec_query.offset(0)
-
-        return fts_query, vec_query, limit, offset
-
    async def to_batches(
        self,
        *,
        max_batch_length: Optional[int] = None,
        timeout: Optional[timedelta] = None,
    ) -> AsyncRecordBatchReader:
-        fts_query, vec_query, limit, offset = self._create_child_queries()
+        fts_query = AsyncFTSQuery(self._inner.to_fts_query(), self._table)
+        vec_query = AsyncVectorQuery(self._inner.to_vector_query(), self._table)

        req = fts_query._inner.to_query_request()
        blob_auto_row_id = False
@@ -3964,6 +3920,9 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        self._blob_auto_row_id = blob_auto_row_id
        self._blob_paths = blob_paths

+        fts_query.with_row_id()
+        vec_query.with_row_id()
+
        fts_results, vector_results = await asyncio.gather(
            fts_query.to_arrow(timeout=timeout),
            vec_query.to_arrow(timeout=timeout),
@@ -3975,9 +3934,8 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
            norm=self._norm,
            fts_query=fts_query.get_query(),
            reranker=self._reranker,
-            limit=limit,
+            limit=self._inner.get_limit(),
            with_row_ids=True,
-            offset=offset,
        )
        if (
            not self._user_requested_row_id()
@@ -4006,14 +3964,14 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        ...     print(plan)
        >>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
        RRFReranker(K=60)
-            ProjectionExec: expr=[vector@0 as vector, text@3 as text, _distance@2 as _distance, _rowid@1 as _rowid]
+            ProjectionExec: expr=[vector@0 as vector, text@3 as text, _distance@2 as _distance]
              LanceRead: uri=..., projection=[text], source=stream(_rowid)
                GlobalLimitExec: skip=0, fetch=10
                  FilterExec: _distance@2 IS NOT NULL
                    SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST, _rowid@1 ASC NULLS LAST], preserve_partitioning=[false]
                      KNNVectorDistance: metric=l2
                        LanceRead: uri=..., projection=[vector], ...
-            ProjectionExec: expr=[vector@2 as vector, text@3 as text, _score@1 as _score, _rowid@0 as _rowid]
+            ProjectionExec: expr=[vector@2 as vector, text@3 as text, _score@1 as _score]
              LanceRead: uri=..., projection=[vector, text], source=stream(_rowid)
                GlobalLimitExec: skip=0, fetch=10
                  MatchQuery: column=text, query=[hello]
@@ -4028,9 +3986,8 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        plan : str
        """  # noqa: E501

-        fts_query, vec_query, _, _ = self._create_child_queries()
-        vector_plan = await vec_query.explain_plan(verbose)
-        fts_plan = await fts_query.explain_plan(verbose)
+        vector_plan = await self._inner.to_vector_query().explain_plan(verbose)
+        fts_plan = await self._inner.to_fts_query().explain_plan(verbose)
        # Indent sub-plans under the reranker
        indented_vector = "\n".join("  " + line for line in vector_plan.splitlines())
        indented_fts = "\n".join("  " + line for line in fts_plan.splitlines())
@@ -4057,12 +4014,14 @@ class AsyncHybridQuery(AsyncStandardQuery, AsyncVectorQueryBase):
        -------
        plan : str
        """
-        fts_query, vec_query, _, _ = self._create_child_queries()
-
        results = ["Vector Search Query:"]
-        results.append(await vec_query.analyze_plan(distributed_metrics))
+        results.append(
+            await self._inner.to_vector_query().analyze_plan(distributed_metrics)
+        )
        results.append("FTS Search Query:")
-        results.append(await fts_query.analyze_plan(distributed_metrics))
+        results.append(
+            await self._inner.to_fts_query().analyze_plan(distributed_metrics)
+        )

        return "\n".join(results)

@@ -720,7 +720,7 @@ class RemoteTable(Table):
        Parameters
        ----------
        query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targeted vector to search for.
+            The targetted vector to search for.

            - *default None*.
            Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -175,7 +175,7 @@ class Reranker(ABC):
            if the results haven't been executed yet or the results in arrow format.
        query : str or None,
            The input query. Some rerankers might not need the query to rerank.
-            In that case, it can be set to None explicitly. This is intended to
+            In that case, it can be set to None explicitly. This is inteded to
            be handled by the reranker implementations.
        deduplicate : bool, optional
            Whether to deduplicate the results based on the `_rowid` column,
@@ -1619,7 +1619,7 @@ class Table(ABC):
        Parameters
        ----------
        query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targeted vector to search for.
+            The targetted vector to search for.

            - *default None*.
            Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -3841,7 +3841,7 @@ class LanceTable(Table):
        Parameters
        ----------
        query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targeted vector to search for.
+            The targetted vector to search for.

            - *default None*.
            Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -5638,7 +5638,7 @@ class AsyncTable:
        if fill_value is None:
            fill_value = 0.0

-        # _sanitize_data is an old code path, but we will use it until the
+        # _santitize_data is an old code path, but we will use it until the
        # new code path is ready.
        if mode == "overwrite":
            # For overwrite, apply the same preprocessing as create_table
@@ -5814,7 +5814,7 @@ class AsyncTable:
        Parameters
        ----------
        query: list/np.ndarray/str/PIL.Image.Image, default None
-            The targeted vector to search for.
+            The targetted vector to search for.

            - *default None*.
            Acceptable types are: list, np.ndarray, PIL.Image.Image
@@ -297,10 +297,7 @@ def test_blob_v2_projection_sources_use_typed_column_name():


 def _legacy_v1_table(name):
-    # Legacy v1 blob columns are only writable at file version <= 2.1.
-    db = lancedb.connect(
-        "memory:///", storage_options={"new_table_data_storage_version": "2.1"}
-    )
+    db = lancedb.connect("memory:///")
    schema = pa.schema(
        [
            pa.field("id", pa.int64()),
@@ -327,8 +327,8 @@ def test_embedding_function_with_pandas(tmp_path):
        ) -> List[np.array]:
            return [np.random.randn(self.ndims()).tolist() for _ in range(len(texts))]

-    registry = get_registry()
-    func = registry.get("mock-embedding").create()
+    registery = get_registry()
+    func = registery.get("mock-embedding").create()

    class TestSchema(LanceModel):
        text: str = func.SourceField()
@@ -394,9 +394,9 @@ def test_multiple_embeddings_for_pandas(tmp_path):
        ) -> List[np.array]:
            return [np.random.randn(self.ndims()).tolist() for _ in range(len(texts))]

-    registry = get_registry()
-    func1 = registry.get("mock-embedding").create()
-    func2 = registry.get("mock-embedding2").create()
+    registery = get_registry()
+    func1 = registery.get("mock-embedding").create()
+    func2 = registery.get("mock-embedding2").create()

    class TestSchema(LanceModel):
        text: str = func1.SourceField()
@@ -1011,13 +1011,8 @@ def test_fts_ngram(mem_db: DBConnection):
    assert set(r["text"] for r in results) == {"lance database", "lance is cool"}

    results = (
-        table.search(
-            "nce",  # spellchecker:disable-line
-            query_type="fts",
-        )
-        .limit(10)
-        .to_list()
-    )
+        table.search("nce", query_type="fts").limit(10).to_list()
+    )  # spellchecker:disable-line
    assert len(results) == 2
    assert set(r["text"] for r in results) == {"lance database", "lance is cool"}

@@ -1039,13 +1034,8 @@ def test_fts_ngram(mem_db: DBConnection):
    assert set(r["text"] for r in results) == {"lance database", "lance is cool"}

    results = (
-        table.search(
-            "nce",  # spellchecker:disable-line
-            query_type="fts",
-        )
-        .limit(10)
-        .to_list()
-    )
+        table.search("nce", query_type="fts").limit(10).to_list()
+    )  # spellchecker:disable-line
    assert len(results) == 0

    results = table.search("la", query_type="fts").limit(10).to_list()
@@ -203,93 +203,6 @@ async def test_async_hybrid_query_default_limit(table: AsyncTable):
    assert texts.count("a") == 1


-@pytest.mark.asyncio
-async def test_async_hybrid_query_offset(table: AsyncTable):
-    # The offset window of a hybrid query must be a suffix of the same query
-    # run without an offset. Skipping the first rows of each sub-query instead
-    # of the first rows of the fused result silently changes which rows land in
-    # the window.
-    full = await (
-        table.query()
-        .nearest_to([0.0, 0.4])
-        .nearest_to_text("dog")
-        .limit(4)
-        .with_row_id()
-        .to_arrow()
-    )
-    assert len(full) == 4
-
-    second_page = await (
-        table.query()
-        .nearest_to([0.0, 0.4])
-        .nearest_to_text("dog")
-        .offset(2)
-        .limit(2)
-        .with_row_id()
-        .to_arrow()
-    )
-    assert second_page["_rowid"].to_pylist() == full["_rowid"].to_pylist()[2:]
-
-    first_page = await (
-        table.query()
-        .nearest_to([0.0, 0.4])
-        .nearest_to_text("dog")
-        .limit(2)
-        .with_row_id()
-        .to_arrow()
-    )
-    # Paging through the result must visit every row exactly once: no row
-    # repeated from the previous page and none dropped between the two.
-    paged = first_page["_rowid"].to_pylist() + second_page["_rowid"].to_pylist()
-    assert sorted(paged) == sorted(full["_rowid"].to_pylist())
-
-
-@pytest.mark.asyncio
-async def test_async_hybrid_query_fts_first_default_limit(table: AsyncTable):
-    # nearest_to() and nearest_to_text() build their new sibling sub-query from
-    # scratch, and that is the sub-query the default limit ends up on. So the
-    # side that carries the limit depends on the order the hybrid query was
-    # built in, and looking at only one side loses the limit for half the ways
-    # a hybrid query can be written. Without a limit the combined results are
-    # not truncated at all and the whole union of both candidate lists is
-    # returned.
-    await table.add([{"text": "dog", "vector": [50.0 + i, 50.0]} for i in range(10)])
-
-    result = await (
-        table.query().nearest_to_text("dog").nearest_to([0.1, 0.1]).to_arrow()
-    )
-    assert len(result) == 10
-
-    offset_result = await (
-        table.query().nearest_to_text("dog").nearest_to([0.1, 0.1]).offset(2).to_arrow()
-    )
-    assert len(offset_result) == 10
-
-
-@pytest.mark.asyncio
-async def test_async_hybrid_query_explain_plan_matches_execution(table: AsyncTable):
-    # Paging rewrites the sub-queries: each one fetches limit + offset rows with
-    # no offset of its own, and the window is sliced out after fusion. The plans
-    # have to be built from those rewritten sub-queries, otherwise explain_plan
-    # and analyze_plan describe a query that is never run.
-    query = (
-        table.query().nearest_to([0.0, 0.4]).nearest_to_text("dog").offset(2).limit(2)
-    )
-    await query.to_arrow()
-
-    plan = await query.explain_plan()
-    assert [
-        line.strip() for line in plan.splitlines() if "GlobalLimitExec" in line
-    ] == [
-        "GlobalLimitExec: skip=0, fetch=4",
-        "GlobalLimitExec: skip=0, fetch=4",
-    ]
-
-    analyzed = await query.analyze_plan()
-    assert analyzed.count("skip=0, fetch=4") == 2
-    assert "skip=2" not in analyzed
-
-
 def test_hybrid_query_offset(sync_table: Table):
    # The offset window of a hybrid query must be a suffix of the same query
    # run without an offset -- it must not be silently ignored.
@@ -193,13 +193,7 @@ class TestNamespaceConnection:
            ),
        )

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

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


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

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


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


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

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

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

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

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

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

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

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

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

    with pytest.raises(RuntimeError, match="plain scan query"):
@@ -81,7 +81,7 @@ def get_test_table(tmp_path):
        "but his son was mortal",
        "there hasn't been a good battlefield game since 2142",
        "I wish they would make another one",
-        "campaigns are not as good as they used to be",
+        "campains are not as good as they used to be",
        "Multiplayer and open world games have destroyed the single player experience",
        "Maybe the future is console games",
        "I don't know",
@@ -64,23 +64,15 @@ async def _blob_v2_table_async(db: AsyncConnection, name: str):
    return table


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


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


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

    df = table.to_pandas(blob_mode=blob_mode)

@@ -3354,7 +3342,7 @@ def test_empty_query(mem_db: DBConnection):
    # None is the same as default
    df = table.search().select(["id"]).limit(None).to_arrow()
    assert df.num_rows == 100
-    # invalid limist is the same as None, which is the same as default
+    # invalid limist is the same as None, wihch is the same as default
    df = table.search().select(["id"]).limit(-1).to_arrow()
    assert df.num_rows == 100
    # valid limit should work
@@ -3971,7 +3959,7 @@ def test_stats(mem_db: DBConnection):
    print(f"{stats=}")
    assert stats == {
        # Full on-disk size of the data file, footer and metadata included.
-        "total_bytes": 637,
+        "total_bytes": 633,
        "num_rows": 2,
        "num_indices": 0,
        "fragment_stats": {
@@ -334,7 +334,7 @@ pub struct PyQueryRequest {
    pub column: Option<String>,
    pub query_vector: Option<PyQueryVectors>,
    pub minimum_nprobes: Option<usize>,
-    // None means user did not set it and default should be used (currently 20)
+    // None means user did not set it and default shoud be used (currenty 20)
    // Some(0) means user set it to None and there is no limit
    pub maximum_nprobes: Option<usize>,
    pub lower_bound: Option<f32>,
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.39.0-beta.6"
+version = "0.39.0-beta.5"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
@@ -120,13 +120,7 @@ pprof = { version = "0.14", features = ["flamegraph"] }


 [features]
-default = ["sql"]
-# The SQL statement extension seam (`lancedb::sql`): the registry a host adds
-# dialect statements through, the access vocabulary those statements declare,
-# and the write-commit observer. It pulls in no dependency that is not already
-# required, so it is on by default; the flag exists so an embedder that does
-# not want the surface can opt out of it.
-sql = []
+default = []
 aws = [
    "lance/aws",
    "lance-io/aws",
@@ -163,7 +163,7 @@ pub struct PolarsDataFrameRecordBatchReader {
 impl PolarsDataFrameRecordBatchReader {
    /// Creates a new `PolarsDataFrameRecordBatchReader` from a given Polars DataFrame.
    /// If the input dataframe does not have aligned chunks, this function undergoes
-    /// the costly operation of reallocating each series as a single contiguous chunk.
+    /// the costly operation of reallocating each series as a single contigous chunk.
    pub fn new(mut df: DataFrame) -> Result<Self> {
        df.align_chunks();
        let arrow_schema =
@@ -532,11 +532,10 @@ mod tests {
    fn storage_version_bumps_to_v2_2() {
        let mut params = WriteParams::default();
        ensure_blob_storage_version(&blob_schema(), &mut params);
-        let resolved = params
-            .data_storage_version
-            .unwrap_or(LanceFileVersion::Stable)
-            .resolve();
-        assert_eq!(resolved, ConcreteFileVersion::V2_2);
+        assert_eq!(
+            params.data_storage_version.unwrap().resolve(),
+            ConcreteFileVersion::V2_2
+        );
        assert!(!params.enable_stable_row_ids);
    }

@@ -548,11 +547,10 @@ mod tests {
        };
        ensure_blob_storage_version(&blob_schema(), &mut params);
        assert!(params.enable_stable_row_ids);
-        let resolved = params
-            .data_storage_version
-            .unwrap_or(LanceFileVersion::Stable)
-            .resolve();
-        assert_eq!(resolved, ConcreteFileVersion::V2_2);
+        assert_eq!(
+            params.data_storage_version.unwrap().resolve(),
+            ConcreteFileVersion::V2_2
+        );
    }

    #[test]
@@ -827,7 +827,7 @@ impl Connection {
 pub struct ConnectRequest {
    /// Database URI
    ///
-    /// ### Accepted URI formats
+    /// ### Accpeted URI formats
    ///
    /// - `/path/to/database` - local database on file system.
    /// - `s3://bucket/path/to/database` or `gs://bucket/path/to/database` - database on cloud object store
@@ -512,7 +512,7 @@ impl ListingDatabase {
                // iter thru the query params and extract the commit store param
                let mut engine = None;
                let mut mirrored_store = None;
-                let mut filtered_queries = vec![];
+                let mut filtered_querys = vec![];

                // WARNING: specifying engine is NOT a publicly supported feature in lancedb yet
                // THE API WILL CHANGE
@@ -528,13 +528,13 @@ impl ListingDatabase {
                        mirrored_store = Some(value.to_string());
                    } else {
                        // to owned so we can modify the url
-                        filtered_queries.push((key.to_string(), value.to_string()));
+                        filtered_querys.push((key.to_string(), value.to_string()));
                    }
                }

                // Filter out the commit store query param -- it's a lancedb param
                url.query_pairs_mut().clear();
-                url.query_pairs_mut().extend_pairs(filtered_queries);
+                url.query_pairs_mut().extend_pairs(filtered_querys);
                // Take a copy of the query string so we can propagate it to lance.
                // `query_pairs_mut()` leaves the URL with `Some("")` even when no
                // pairs survive (or none existed in the first place), so an empty
@@ -896,11 +896,11 @@ impl Database for ListingDatabase {
    }

    async fn read_consistency(&self) -> Result<ReadConsistency> {
-        if let Some(interval) = self.read_consistency_interval {
-            if interval.is_zero() {
+        if let Some(read_consistency_inverval) = self.read_consistency_interval {
+            if read_consistency_inverval.is_zero() {
                Ok(ReadConsistency::Strong)
            } else {
-                Ok(ReadConsistency::Eventual(interval))
+                Ok(ReadConsistency::Eventual(read_consistency_inverval))
            }
        } else {
            Ok(ReadConsistency::Manual)
@@ -3043,15 +3043,15 @@ mod tests {
    /// across platforms — see the `file://` test below).
    fn capture_query_like_connect(input_uri: &str) -> Option<String> {
        let mut url = url::Url::parse(input_uri).unwrap();
-        let mut filtered_queries = Vec::new();
+        let mut filtered_querys = Vec::new();
        for (key, value) in url.query_pairs() {
            if key == ENGINE || key == MIRRORED_STORE {
                continue;
            }
-            filtered_queries.push((key.to_string(), value.to_string()));
+            filtered_querys.push((key.to_string(), value.to_string()));
        }
        url.query_pairs_mut().clear();
-        url.query_pairs_mut().extend_pairs(filtered_queries);
+        url.query_pairs_mut().extend_pairs(filtered_querys);
        url.query().filter(|q| !q.is_empty()).map(|s| s.to_string())
    }

@@ -251,11 +251,11 @@ impl Database for LanceNamespaceDatabase {
    }

    async fn read_consistency(&self) -> Result<ReadConsistency> {
-        if let Some(interval) = self.read_consistency_interval {
-            if interval.is_zero() {
+        if let Some(read_consistency_inverval) = self.read_consistency_interval {
+            if read_consistency_inverval.is_zero() {
                Ok(ReadConsistency::Strong)
            } else {
-                Ok(ReadConsistency::Eventual(interval))
+                Ok(ReadConsistency::Eventual(read_consistency_inverval))
            }
        } else {
            Ok(ReadConsistency::Manual)
@@ -125,7 +125,7 @@ macro_rules! impl_pq_params_setter {
        /// This value controls how much the vector is compressed during the quantization step.
        /// The more sub vectors there are the less the vector is compressed.  The default is
        /// the dimension of the vector divided by 16.  If the dimension is not evenly divisible
-        /// by 16 we use the dimension divided by 8.
+        /// by 16 we use the dimension divded by 8.
        ///
        /// The above two cases are highly preferred.  Having 8 or 16 values per subvector allows
        /// us to use efficient SIMD instructions.
@@ -1917,16 +1917,7 @@ mod tests {
    /// declaration buried in a struct child binds as hard as one on top.
    #[tokio::test]
    async fn test_nested_projection_metadata_and_declarations() {
-        // The schema below carries the legacy v1 blob marker, which Lance only
-        // allows writing at file version <= 2.1.
-        let conn = connect("memory://")
-            .storage_options([(
-                crate::database::listing::OPT_NEW_TABLE_STORAGE_VERSION,
-                "2.1",
-            )])
-            .execute()
-            .await
-            .unwrap();
+        let conn = connect("memory://").execute().await.unwrap();
        let payload = crate::blob("payload", true).with_metadata(HashMap::from([
            ("lance-encoding:blob".to_string(), "true".to_string()),
            (
@@ -1299,7 +1299,7 @@ impl VectorQuery {
    /// This can be useful when there is a narrow filter to allow these queries to
    /// spend more time searching and avoid potential false negatives.
    ///
-    /// Set to None to search all partitions, if needed, to satisfy the limit
+    /// Set to None to search all partitions, if needed, to satsify the limit
    pub fn maximum_nprobes(mut self, maximum_nprobes: Option<usize>) -> Result<Self> {
        if let Some(maximum_nprobes) = maximum_nprobes {
            if maximum_nprobes == 0 {
@@ -1,35 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-//! SQL: handles to queries running on a remote database, and the seam an
-//! embedder extends the dialect through.
-//!
-//! The extension seam is behind the default-on `sql` feature. It lets a host
-//! add statements to the dialect from outside this crate: a statement brings
-//! its own grammar ([`CustomSqlHandler`]), and declares its audit label and
-//! the access it needs ([`SqlStatement`]), so the host's authorization and
-//! auditing do not have to know each statement by name.
-
-#[cfg(feature = "sql")]
-mod dml;
-#[cfg(feature = "sql")]
-mod observer;
-#[cfg(feature = "sql")]
-mod parser;
-#[cfg(feature = "sql")]
-mod statement;
-
-#[cfg(feature = "sql")]
-pub use dml::{DmlOperation, DmlResult, dml_result_schema};
-#[cfg(feature = "sql")]
-pub use observer::{CommittedWrite, DmlEventKind, WriteObserver, observe_write};
-#[cfg(feature = "sql")]
-pub use parser::route_custom_sql;
-#[cfg(feature = "sql")]
-pub use statement::{
-    AccessRequirement, CreateKind, CustomSqlHandler, DatabaseScope, RelationKind,
-    RequirementContext, SqlStatement, StatementRegistry, SystemScope, WriteMode,
-};
+//! Handles to SQL queries running on a remote database.

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

@@ -1,150 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! The result of a DML statement, as a one-row record batch.
-//!
-//! A DML statement has to answer over the same channel a query does, so its
-//! result is carried as an ordinary [`RecordBatch`] with a fixed schema. The
-//! round trip is lossless, which is what lets a caller recover the typed form
-//! after the batch has crossed a transport such as Arrow Flight.
-
-use std::fmt;
-use std::sync::Arc;
-
-use arrow_array::{Int64Array, RecordBatch, StringArray};
-use arrow_schema::{DataType, Field, Schema};
-
-/// Which DML statement produced a result.
-#[derive(Debug, Clone, Copy, PartialEq, Eq)]
-pub enum DmlOperation {
-    Insert,
-    Update,
-    Delete,
-}
-
-impl DmlOperation {
-    pub fn as_str(self) -> &'static str {
-        match self {
-            Self::Insert => "INSERT",
-            Self::Update => "UPDATE",
-            Self::Delete => "DELETE",
-        }
-    }
-
-    fn parse(s: &str) -> Option<Self> {
-        match s {
-            "INSERT" => Some(Self::Insert),
-            "UPDATE" => Some(Self::Update),
-            "DELETE" => Some(Self::Delete),
-            _ => None,
-        }
-    }
-}
-
-impl fmt::Display for DmlOperation {
-    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
-        f.write_str(self.as_str())
-    }
-}
-
-/// What a DML statement did.
-#[derive(Debug, Clone, PartialEq, Eq)]
-pub struct DmlResult {
-    pub table: String,
-    pub operation: DmlOperation,
-    pub rows_affected: i64,
-    pub version: i64,
-}
-
-/// The schema every [`DmlResult`] batch carries.
-pub fn dml_result_schema() -> Schema {
-    Schema::new(vec![
-        Field::new("table", DataType::Utf8, false),
-        Field::new("operation", DataType::Utf8, false),
-        Field::new("rows_affected", DataType::Int64, false),
-        Field::new("version", DataType::Int64, false),
-    ])
-}
-
-impl DmlResult {
-    pub fn new(
-        table: impl Into<String>,
-        operation: DmlOperation,
-        rows_affected: i64,
-        version: i64,
-    ) -> Self {
-        Self {
-            table: table.into(),
-            operation,
-            rows_affected,
-            version,
-        }
-    }
-
-    pub fn to_record_batch(&self) -> RecordBatch {
-        RecordBatch::try_new(
-            Arc::new(dml_result_schema()),
-            vec![
-                Arc::new(StringArray::from(vec![self.table.as_str()])),
-                Arc::new(StringArray::from(vec![self.operation.as_str()])),
-                Arc::new(Int64Array::from(vec![self.rows_affected])),
-                Arc::new(Int64Array::from(vec![self.version])),
-            ],
-        )
-        .expect("static schema")
-    }
-
-    /// Recover a result from a batch, or `None` if the batch is not one.
-    ///
-    /// A query result can arrive on the same channel, so this has to be able
-    /// to say "not a DML result" rather than fail.
-    pub fn try_from_batch(batch: &RecordBatch) -> Option<Self> {
-        if *batch.schema().as_ref() != dml_result_schema() || batch.num_rows() != 1 {
-            return None;
-        }
-        Some(Self {
-            table: batch
-                .column(0)
-                .as_any()
-                .downcast_ref::<StringArray>()?
-                .value(0)
-                .to_string(),
-            operation: DmlOperation::parse(
-                batch
-                    .column(1)
-                    .as_any()
-                    .downcast_ref::<StringArray>()?
-                    .value(0),
-            )?,
-            rows_affected: batch
-                .column(2)
-                .as_any()
-                .downcast_ref::<Int64Array>()?
-                .value(0),
-            version: batch
-                .column(3)
-                .as_any()
-                .downcast_ref::<Int64Array>()?
-                .value(0),
-        })
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    #[test]
-    fn roundtrip() {
-        let original = DmlResult::new("foo", DmlOperation::Insert, 1, 3);
-        let batch = original.to_record_batch();
-        assert_eq!(DmlResult::try_from_batch(&batch), Some(original));
-    }
-
-    #[test]
-    fn non_dml_returns_none() {
-        let s = Arc::new(Schema::new(vec![Field::new("id", DataType::Int64, false)]));
-        let batch = RecordBatch::try_new(s, vec![Arc::new(Int64Array::from(vec![1]))]).unwrap();
-        assert_eq!(DmlResult::try_from_batch(&batch), None);
-    }
-}
@@ -1,70 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Notification of committed writes.
-//!
-//! A statement that writes rows often has to tell its host that it did, so
-//! that follow-up work can be scheduled. What it should *not* have to know is
-//! how the host represents that notification. [`WriteObserver`] is the seam:
-//! the statement reports what it wrote, and the host decides what that means
-//! -- an event on a bus, a metric, or nothing at all.
-
-use std::sync::Arc;
-
-use async_trait::async_trait;
-
-/// Which DML operation committed.
-#[derive(Debug, Clone, Copy, PartialEq, Eq)]
-pub enum DmlEventKind {
-    Insert,
-    Update,
-    Delete,
-}
-
-/// A write that has already been made durable.
-#[derive(Debug, Clone)]
-pub struct CommittedWrite {
-    /// The database holding the table.
-    pub database: String,
-    /// The schema the statement named the table through.
-    pub schema: String,
-    /// The table written.
-    pub table: String,
-    /// The table's storage location, when the statement resolved one.
-    pub table_uri: Option<String>,
-    /// Which operation committed.
-    pub kind: DmlEventKind,
-}
-
-/// Notified after a statement's write commits.
-///
-/// Implementations are best-effort by contract: the write is already durable
-/// when this is called, so an observer that fails must not fail the statement.
-/// That is why the method cannot report an error.
-#[async_trait]
-pub trait WriteObserver: Send + Sync {
-    async fn write_committed(&self, write: CommittedWrite);
-}
-
-/// Report a committed write, if anything is observing.
-pub async fn observe_write(
-    observer: Option<&Arc<dyn WriteObserver>>,
-    database: &str,
-    schema: &str,
-    table: &str,
-    table_uri: Option<String>,
-    kind: DmlEventKind,
-) {
-    let Some(observer) = observer else {
-        return;
-    };
-    observer
-        .write_committed(CommittedWrite {
-            database: database.to_string(),
-            schema: schema.to_string(),
-            table: table.to_string(),
-            table_uri,
-            kind,
-        })
-        .await;
-}
@@ -1,174 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! Routing a statement to the grammar that owns it.
-
-use datafusion::error::{DataFusionError, Result};
-use datafusion::logical_expr::LogicalPlan;
-use datafusion::sql::sqlparser::{
-    dialect::GenericDialect,
-    parser::{Parser, ParserError},
-    tokenizer::{Token, Tokenizer, TokenizerError},
-};
-
-use super::statement::StatementRegistry;
-
-/// Route a statement through the registry's grammars.
-///
-/// Returns `Ok(None)` when no grammar claims the statement, which is the
-/// caller's cue to hand it to DataFusion's own planner.
-///
-/// The first grammar whose `matches` accepts the tokens is the only one given
-/// the statement: a grammar that matches and then returns `Ok(None)` declines
-/// the form rather than falling through to the next grammar. Registration
-/// order therefore decides reachability, which is why [`StatementRegistry`]
-/// fixes it explicitly.
-pub fn route_custom_sql(registry: &StatementRegistry, sql: &str) -> Result<Option<LogicalPlan>> {
-    let dialect = GenericDialect {};
-    let mut tokenizer = Tokenizer::new(&dialect, sql);
-    let tokens = tokenizer.tokenize().map_err(|e: TokenizerError| {
-        DataFusionError::SQL(Box::new(ParserError::TokenizerError(e.to_string())), None)
-    })?;
-
-    // Handlers match on keywords, so layout must not change the decision.
-    let word_tokens: Vec<&Token> = tokens
-        .iter()
-        .filter(|t| !matches!(t, Token::Whitespace(_)))
-        .collect();
-
-    for handler in registry.parsers() {
-        if handler.matches(&word_tokens) {
-            // `Parser` takes ownership of the tokens, so it is built only once
-            // a handler has claimed the statement.
-            let mut parser = Parser::new(&dialect).with_tokens(tokens.clone());
-            if let Some(plan) = handler.parse(&mut parser)? {
-                return Ok(Some(plan));
-            }
-            break;
-        }
-    }
-
-    Ok(None)
-}
-
-#[cfg(test)]
-mod tests {
-    use std::sync::{
-        Arc,
-        atomic::{AtomicUsize, Ordering},
-    };
-
-    use datafusion::common::DFSchema;
-    use datafusion::error::Result as DfResult;
-    use datafusion::logical_expr::{EmptyRelation, LogicalPlan};
-    use datafusion::sql::sqlparser::keywords::Keyword;
-
-    use super::*;
-    use crate::sql::statement::CustomSqlHandler;
-
-    fn empty_plan() -> LogicalPlan {
-        LogicalPlan::EmptyRelation(EmptyRelation {
-            produce_one_row: false,
-            schema: Arc::new(DFSchema::empty()),
-        })
-    }
-
-    /// Matches on a leading keyword, and reports whether it was asked to parse.
-    struct Handler {
-        keyword: Keyword,
-        outcome: Outcome,
-        parsed: Arc<AtomicUsize>,
-    }
-
-    enum Outcome {
-        Plans,
-        Declines,
-    }
-
-    impl Handler {
-        fn new(keyword: Keyword, outcome: Outcome) -> (Arc<Self>, Arc<AtomicUsize>) {
-            let parsed = Arc::new(AtomicUsize::new(0));
-            let handler = Arc::new(Self {
-                keyword,
-                outcome,
-                parsed: parsed.clone(),
-            });
-            (handler, parsed)
-        }
-    }
-
-    impl CustomSqlHandler for Handler {
-        fn matches(&self, tokens: &[&Token]) -> bool {
-            matches!(tokens.first(), Some(Token::Word(w)) if w.keyword == self.keyword)
-        }
-
-        fn parse(&self, _parser: &mut Parser) -> DfResult<Option<LogicalPlan>> {
-            self.parsed.fetch_add(1, Ordering::SeqCst);
-            Ok(match self.outcome {
-                Outcome::Plans => Some(empty_plan()),
-                Outcome::Declines => None,
-            })
-        }
-    }
-
-    #[test]
-    fn an_unclaimed_statement_is_left_for_datafusion() {
-        let registry = StatementRegistry::new();
-        assert!(route_custom_sql(&registry, "SELECT 1").unwrap().is_none());
-    }
-
-    #[test]
-    fn whitespace_does_not_change_which_handler_matches() {
-        let (handler, parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-        let mut registry = StatementRegistry::new();
-        registry.register_parser(handler);
-
-        for sql in ["EXPLAIN t", "  EXPLAIN\n\t t  "] {
-            assert!(route_custom_sql(&registry, sql).unwrap().is_some());
-        }
-        assert_eq!(parsed.load(Ordering::SeqCst), 2);
-    }
-
-    /// Front-insertion is what lets an extension get ahead of a catch-all that
-    /// would otherwise swallow the same keyword.
-    #[test]
-    fn the_last_registered_handler_is_consulted_first() {
-        let (first, first_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-        let (second, second_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-
-        let mut registry = StatementRegistry::new();
-        registry.register_parser(first).register_parser(second);
-
-        assert!(route_custom_sql(&registry, "EXPLAIN t").unwrap().is_some());
-        assert_eq!(second_parsed.load(Ordering::SeqCst), 1);
-        assert_eq!(first_parsed.load(Ordering::SeqCst), 0);
-    }
-
-    /// A handler that matches and declines vetoes the statement rather than
-    /// letting a later handler see it. Shadowing is silent, which is why
-    /// registration order is part of the contract.
-    #[test]
-    fn a_handler_that_declines_shadows_the_handlers_behind_it() {
-        let (shadowed, shadowed_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-        let (decliner, decliner_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Declines);
-
-        let mut registry = StatementRegistry::new();
-        registry.register_parser(shadowed).register_parser(decliner);
-
-        assert!(route_custom_sql(&registry, "EXPLAIN t").unwrap().is_none());
-        assert_eq!(decliner_parsed.load(Ordering::SeqCst), 1);
-        assert_eq!(shadowed_parsed.load(Ordering::SeqCst), 0);
-    }
-
-    #[test]
-    fn from_parts_keeps_the_order_it_was_given() {
-        let (first, first_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-        let (second, second_parsed) = Handler::new(Keyword::EXPLAIN, Outcome::Plans);
-
-        let registry = StatementRegistry::from_parts(vec![first, second], vec![]);
-
-        assert!(route_custom_sql(&registry, "EXPLAIN t").unwrap().is_some());
-        assert_eq!(first_parsed.load(Ordering::SeqCst), 1);
-        assert_eq!(second_parsed.load(Ordering::SeqCst), 0);
-    }
-}
@@ -1,365 +0,0 @@
-// SPDX-License-Identifier: Apache-2.0
-// SPDX-FileCopyrightText: Copyright The LanceDB Authors
-
-//! The statement registry: the seam between the SQL dialect and the behaviour
-//! an embedder adds to it.
-//!
-//! A statement owns three things that are otherwise easy to spread across
-//! parallel `downcast_ref` chains: the grammar that produces its node, the
-//! audit label it reports, and the access it requires. Keeping them in one
-//! place is what makes a statement addable from outside this crate.
-//!
-//! Two registries, because the axes differ. Grammar is matched against tokens
-//! before a node exists, and several statements can share one handler -- an
-//! `ALTER TABLE` handler may yield a different node per subcommand. A planned
-//! node, by contrast, is claimed by exactly one statement.
-
-use std::any::Any;
-use std::sync::Arc;
-
-use datafusion::common::{ResolvedTableReference, TableReference};
-use datafusion::error::Result as DfResult;
-use datafusion::logical_expr::LogicalPlan;
-use datafusion::sql::sqlparser::{parser::Parser, tokenizer::Token};
-
-/// A pluggable handler for custom SQL statements.
-pub trait CustomSqlHandler: Send + Sync {
-    /// Whether this handler wants to handle these tokens.
-    ///
-    /// The tokens have had whitespace removed, so a handler can match on
-    /// leading keywords without accounting for layout.
-    fn matches(&self, tokens: &[&Token]) -> bool;
-
-    /// Parse the statement into a logical plan.
-    ///
-    /// Returning `Ok(None)` declines a form this handler matched on; the
-    /// statement then goes to DataFusion's own planner. See
-    /// [`StatementRegistry`] for why that stops routing rather than falling
-    /// through to the next handler.
-    fn parse(&self, parser: &mut Parser) -> DfResult<Option<LogicalPlan>>;
-}
-
-/// What kind of relation a requirement is about.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum RelationKind {
-    Table,
-    View,
-}
-
-/// What kind of object a DDL statement brings into existence.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum CreateKind {
-    Table,
-    View,
-    MaterializedView,
-}
-
-/// What a statement needs authorized before it runs.
-///
-/// The vocabulary is deliberately generic: it names *what is being reached
-/// for*, not the privilege that grants it. An embedder maps these onto its own
-/// privilege model and audit labels, so no access-control concept has to live
-/// in the dialect.
-///
-/// The variants are finer-grained than a bare read/write split because the
-/// distinctions are load-bearing for that mapping -- appending to a table and
-/// redefining it are different grants, and collapsing them would silently
-/// widen what a statement is allowed to do.
-#[derive(Clone, Debug, PartialEq, Eq)]
-pub enum AccessRequirement {
-    /// Read the contents of a relation.
-    Read {
-        relation: ResolvedTableReference,
-        kind: RelationKind,
-    },
-    /// Change the rows of a relation.
-    Write {
-        relation: ResolvedTableReference,
-        kind: RelationKind,
-        mode: WriteMode,
-    },
-    /// Change a relation's definition, or anything about it other than its
-    /// rows. Index and column changes land here.
-    Own {
-        relation: ResolvedTableReference,
-        kind: RelationKind,
-    },
-    /// Bring a new relation into existence.
-    CreateIn {
-        relation: ResolvedTableReference,
-        kind: CreateKind,
-    },
-    /// Reach the connected database itself rather than a relation in it.
-    Database { name: String, scope: DatabaseScope },
-    /// Reach a namespace's metadata.
-    Namespace { database: String, namespace: String },
-    /// Reach the deployment rather than any one database.
-    System { scope: SystemScope },
-}
-
-/// How an [`AccessRequirement::Write`] changes a relation's rows.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum WriteMode {
-    /// Add rows.
-    Append,
-    /// Change existing rows.
-    Modify,
-    /// Take rows away.
-    Remove,
-}
-
-/// How far into a database an [`AccessRequirement::Database`] reaches.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum DatabaseScope {
-    /// See that the database exists and list what is in it.
-    Usage,
-    /// Change what the database contains.
-    Ownership,
-}
-
-/// How far into the deployment an [`AccessRequirement::System`] reaches.
-#[derive(Clone, Copy, Debug, PartialEq, Eq)]
-pub enum SystemScope {
-    /// Observe deployment-wide state.
-    Usage,
-    /// Act on deployment-wide state.
-    Operate,
-}
-
-impl AccessRequirement {
-    /// The relation this requirement is about, for the relation-shaped
-    /// variants.
-    ///
-    /// An embedder's privilege mapping is written against the variants
-    /// directly; this is the shortcut for the common case of needing the
-    /// relation without caring which shape asked for it.
-    pub fn relation(&self) -> Option<(&ResolvedTableReference, RelationKind)> {
-        match self {
-            Self::Read { relation, kind }
-            | Self::Write { relation, kind, .. }
-            | Self::Own { relation, kind } => Some((relation, *kind)),
-            Self::CreateIn { .. }
-            | Self::Database { .. }
-            | Self::Namespace { .. }
-            | Self::System { .. } => None,
-        }
-    }
-}
-
-/// Everything a statement needs in order to state its requirements, without
-/// reaching for the engine running it.
-pub struct RequirementContext<'a> {
-    /// The database a bare relation name resolves against.
-    pub default_database: &'a str,
-    /// The schema a bare relation name resolves against.
-    pub default_schema: &'a str,
-}
-
-impl RequirementContext<'_> {
-    /// Resolve a possibly-bare reference against the request's defaults.
-    pub fn resolve(&self, relation: TableReference) -> ResolvedTableReference {
-        relation.resolve(self.default_database, self.default_schema)
-    }
-
-    /// Resolve a bare relation name against the request's defaults.
-    pub fn resolve_bare(&self, name: impl Into<String>) -> ResolvedTableReference {
-        self.resolve(TableReference::bare(name.into()))
-    }
-}
-
-/// One statement in the dialect: the node it plans to, what it is called in an
-/// audit log, and what it needs authorized.
-pub trait SqlStatement: Send + Sync {
-    /// Whether this statement owns the given planned node.
-    fn claims(&self, node: &dyn Any) -> bool;
-
-    /// The audit label for this statement.
-    ///
-    /// This is an open string rather than an enum so that an embedder can add
-    /// a statement -- and a label for it -- without changing this crate.
-    fn audit_operation(&self) -> &'static str;
-
-    /// What must be authorized before the node runs.
-    ///
-    /// Returning an empty set means the statement needs nothing beyond
-    /// whatever the engine already collects from the plan's scans.
-    fn access_requirements(
-        &self,
-        node: &dyn Any,
-        context: &RequirementContext<'_>,
-    ) -> DfResult<Vec<AccessRequirement>>;
-}
-
-/// The set of statements and grammars an engine knows about.
-///
-/// Ordering is load-bearing on the parse side and stays explicit. A handler
-/// may be a catch-all over its leading keyword -- erroring on any form of that
-/// keyword it does not recognize, or matching on the first token alone -- so a
-/// handler registered *after* such a one can never be reached for that
-/// keyword. Extensions are therefore consulted before whatever is already
-/// registered.
-///
-/// A handler that matches and then returns `Ok(None)` stops routing entirely
-/// rather than falling through to the next handler; the statement then goes to
-/// DataFusion's own planner. That veto is intentional -- it is how a handler
-/// declines a form it matched on -- but it means an overlapping handler
-/// registered later is shadowed rather than reported, which is the other
-/// reason ordering is explicit here.
-#[derive(Default)]
-pub struct StatementRegistry {
-    parsers: Vec<Arc<dyn CustomSqlHandler>>,
-    statements: Vec<Arc<dyn SqlStatement>>,
-}
-
-impl StatementRegistry {
-    /// An empty registry.
-    pub fn new() -> Self {
-        Self::default()
-    }
-
-    /// Build a registry from an explicit, already-ordered set.
-    ///
-    /// The ordering is used as given -- unlike [`Self::register_parser`], this
-    /// does not reverse anything. It is how an embedder that owns the whole
-    /// dialect states the order once.
-    pub fn from_parts(
-        parsers: Vec<Arc<dyn CustomSqlHandler>>,
-        statements: Vec<Arc<dyn SqlStatement>>,
-    ) -> Self {
-        Self {
-            parsers,
-            statements,
-        }
-    }
-
-    /// Add a grammar, consulted before every grammar already registered.
-    ///
-    /// Registration is front-insertion because an existing catch-all handler
-    /// would otherwise shadow anything added later; see the type docs.
-    pub fn register_parser(&mut self, parser: Arc<dyn CustomSqlHandler>) -> &mut Self {
-        self.parsers.insert(0, parser);
-        self
-    }
-
-    /// Add a statement, consulted before every statement already registered.
-    pub fn register_statement(&mut self, statement: Arc<dyn SqlStatement>) -> &mut Self {
-        self.statements.insert(0, statement);
-        self
-    }
-
-    /// The grammars, in the order they are consulted.
-    pub fn parsers(&self) -> &[Arc<dyn CustomSqlHandler>] {
-        &self.parsers
-    }
-
-    /// The statement owning this planned node, if any.
-    pub fn claim(&self, node: &dyn Any) -> Option<&Arc<dyn SqlStatement>> {
-        self.statements.iter().find(|s| s.claims(node))
-    }
-}
-
-#[cfg(test)]
-mod tests {
-    use super::*;
-
-    struct Claimant {
-        label: &'static str,
-        claims_everything: bool,
-    }
-
-    impl SqlStatement for Claimant {
-        fn claims(&self, node: &dyn Any) -> bool {
-            self.claims_everything && node.is::<u8>()
-        }
-
-        fn audit_operation(&self) -> &'static str {
-            self.label
-        }
-
-        fn access_requirements(
-            &self,
-            _node: &dyn Any,
-            _context: &RequirementContext<'_>,
-        ) -> DfResult<Vec<AccessRequirement>> {
-            Ok(vec![])
-        }
-    }
-
-    fn claimant(label: &'static str, claims_everything: bool) -> Arc<dyn SqlStatement> {
-        Arc::new(Claimant {
-            label,
-            claims_everything,
-        })
-    }
-
-    #[test]
-    fn an_unclaimed_node_has_no_statement() {
-        let mut registry = StatementRegistry::new();
-        registry.register_statement(claimant("never", false));
-        assert!(registry.claim(&0u8).is_none());
-    }
-
-    /// Front-insertion on the claim side too: an extension must be able to
-    /// take over a node shape that something already registered also claims.
-    #[test]
-    fn the_last_registered_statement_claims_first() {
-        let mut registry = StatementRegistry::new();
-        registry
-            .register_statement(claimant("first", true))
-            .register_statement(claimant("second", true));
-
-        assert_eq!(registry.claim(&0u8).unwrap().audit_operation(), "second");
-    }
-
-    #[test]
-    fn from_parts_keeps_the_claim_order_it_was_given() {
-        let registry =
-            StatementRegistry::from_parts(vec![], vec![claimant("a", true), claimant("b", true)]);
-        assert_eq!(registry.claim(&0u8).unwrap().audit_operation(), "a");
-    }
-
-    #[test]
-    fn a_bare_name_resolves_against_the_request_defaults() {
-        let context = RequirementContext {
-            default_database: "db",
-            default_schema: "public",
-        };
-        let resolved = context.resolve_bare("t");
-        assert_eq!(&*resolved.catalog, "db");
-        assert_eq!(&*resolved.schema, "public");
-        assert_eq!(&*resolved.table, "t");
-    }
-
-    #[test]
-    fn a_qualified_name_keeps_its_own_parts() {
-        let context = RequirementContext {
-            default_database: "db",
-            default_schema: "public",
-        };
-        let resolved = context.resolve(TableReference::partial("other", "t"));
-        assert_eq!(&*resolved.catalog, "db");
-        assert_eq!(&*resolved.schema, "other");
-    }
-
-    #[test]
-    fn only_the_relation_shaped_requirements_name_a_relation() {
-        let relation = TableReference::bare("t").resolve("db", "public");
-
-        let read = AccessRequirement::Read {
-            relation: relation.clone(),
-            kind: RelationKind::Table,
-        };
-        assert_eq!(read.relation().unwrap().1, RelationKind::Table);
-
-        let create = AccessRequirement::CreateIn {
-            relation,
-            kind: CreateKind::MaterializedView,
-        };
-        assert!(create.relation().is_none());
-
-        let system = AccessRequirement::System {
-            scope: SystemScope::Operate,
-        };
-        assert!(system.relation().is_none());
-    }
-}
@@ -240,7 +240,7 @@ enum BadVectorHandling {
    /// An error is returned
    #[default]
    Error,
-    /// The offending row is dropped
+    /// The offending row is droppped
    Drop,
    /// The invalid/missing items are replaced by fill_value
    Fill(f32),
@@ -1326,7 +1326,7 @@ impl Table {
    /// Note: if your condition is something like "some_id_column == 7" and
    /// you are updating many rows (with different ids) then you will get
    /// better performance with a single [`merge_insert`] call instead of
-    /// repeatedly calling this method.
+    /// repeatedly calilng this method.
    pub fn update(&self) -> UpdateBuilder {
        UpdateBuilder::new(self.inner.clone())
    }
@@ -5678,7 +5678,7 @@ mod tests {
            TableStatistics {
                num_rows: 250,
                num_indices: 0,
-                total_bytes: 8969,
+                total_bytes: 8925,
                fragment_stats: FragmentStatistics {
                    num_fragments: 11,
                    num_small_fragments: 11,
@@ -52,7 +52,7 @@ enum ConsistencyMode {
    /// refresh_window = min(3s, TTL/4)
    ///
    /// | t < TTL - refresh_window | t < TTL                           | t >= TTL            |
-    /// |  Return value            | Background refresh & return value |  synchronous refresh |
+    /// |  Return value            | Background refresh & return value |  syncronous refresh |
    Eventual(BackgroundCache<Arc<Dataset>, Error>),
 }

@@ -103,7 +103,7 @@ impl MergeInsertBuilder {
    /// but that behavior is subject to change.
    ///
    /// An optional condition may be specified.  If it is, then only
-    /// matched rows that satisfy the condition will be updated.  Any
+    /// matched rows that satisfy the condtion will be updated.  Any
    /// rows that do not satisfy the condition will be left as they
    /// are.  Failing to satisfy the condition does not cause a
    /// "matched row" to become a "not matched" row.
@@ -904,7 +904,7 @@ fn unsharded_shard_id() -> Uuid {

 /// Build a [`ShardWriterConfig`] from the persisted `writer_config_defaults`.
 ///
-/// Unknown or unparsable keys are ignored; absent keys keep the
+/// Unknown or unparseable keys are ignored; absent keys keep the
 /// [`ShardWriterConfig`] default. The shard id is set by `mem_wal_writer`.
 fn shard_writer_config_from_defaults(defaults: &HashMap<String, String>) -> ShardWriterConfig {
    let mut config = ShardWriterConfig::default().with_shard_spec_id(SHARDING_SPEC_ID);
@@ -19,7 +19,6 @@ use lancedb::{
    connect, connect_namespace,
    database::listing::{
        ListingDatabaseOptions, NewTableConfig, OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS,
-        OPT_NEW_TABLE_STORAGE_VERSION,
    },
    query::{ExecutableQuery, QueryBase},
    table::{AddDataMode, CompactionOptions, OptimizeAction, OptimizeStats, WriteOptions},
@@ -147,10 +146,7 @@ async fn non_blob_table_keeps_default_format_and_row_id_setting() -> Result<()>
    let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::Int64, false)]));
    let table = db.create_empty_table("t", schema).execute().await?;

-    assert_eq!(
-        storage_format_version(&table).await,
-        LanceFileVersion::Stable.resolve()
-    );
+    assert!(!supports_blob_v2(storage_format_version(&table).await));
    assert!(!uses_stable_row_ids(&table).await);
    Ok(())
 }
@@ -813,11 +809,7 @@ async fn fetch_blobs_rejects_unknown_column() -> Result<()> {
 #[tokio::test]
 async fn fetch_blobs_rejects_legacy_v1_blob_column() -> Result<()> {
    let tmp = tempdir().unwrap();
-    // Legacy v1 blob columns are only writable at file version <= 2.1.
-    let db = connect(tmp.path().to_str().unwrap())
-        .storage_options([(OPT_NEW_TABLE_STORAGE_VERSION, "2.1")])
-        .execute()
-        .await?;
+    let db = connect(tmp.path().to_str().unwrap()).execute().await?;
    let legacy = Field::new("image", DataType::LargeBinary, true).with_metadata(
        std::collections::HashMap::from([("lance-encoding:blob".to_string(), "true".to_string())]),
    );