feat: record the source namespace in a materialized view definition (#4098 )

A view definition recorded its source by bare name and refresh resolved that name at the root, so declaring a view over a namespaced source was refused outright -- materialized views were root-only for every caller. The definition now carries `source_namespace`, and refresh opens the source at that coordinate. `plan` takes the namespace too: refresh re-plans the stored definition and persists the result when it migrates, so defaulting it there would strand the view on its next rebuild. The stored kind is the version boundary. Root definitions keep the `select` form byte-for-byte, so everything written before this change reads exactly as it always did. A namespaced source is stored as `namespaced_select`: released readers drop unknown fields and resolve a `select` source at the root, so keeping the old kind would let a rolled-back worker refresh a view from a same-name root table -- the new kind routes them to their existing unrecognized-kind refusal instead. The Python and Node definition parsers learn the new kind alongside the Rust core.
chore: update lance dependency to v12.0.0-beta.6
2026-09-01 19:18:38 +00:00 · 2026-09-01 13:08:45 +00:00 · 2026-08-31 21:43:23 +00:00
39 changed files with 152 additions and 2038 deletions
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.39.0-beta.0"
+current_version = "0.38.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
@@ -3455,8 +3455,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"

 [[package]]
 name = "fsst"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "rand 0.9.5",
@@ -4815,8 +4815,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a"

 [[package]]
 name = "lance"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -4888,8 +4888,8 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4911,7 +4911,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-scalar"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4925,7 +4925,7 @@ dependencies = [
 [[package]]
 name = "lance-arrow-stats"
 version = "58.0.0"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -4934,8 +4934,8 @@ dependencies = [

 [[package]]
 name = "lance-bitpacking"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrayref",
 "crunchy",
@@ -4945,8 +4945,8 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4983,8 +4983,8 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5000,7 +5000,6 @@ dependencies = [
 "datafusion-functions",
 "datafusion-physical-expr",
 "futures",
- "half",
 "jsonb",
 "lance-arrow",
 "lance-core",
@@ -5014,8 +5013,8 @@ dependencies = [

 [[package]]
 name = "lance-datagen"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5032,8 +5031,8 @@ dependencies = [

 [[package]]
 name = "lance-derive"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "proc-macro2",
 "quote",
@@ -5042,8 +5041,8 @@ dependencies = [

 [[package]]
 name = "lance-encoding"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5076,8 +5075,8 @@ dependencies = [

 [[package]]
 name = "lance-file"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -5108,8 +5107,8 @@ dependencies = [

 [[package]]
 name = "lance-index"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arc-swap",
 "arrow",
@@ -5173,8 +5172,8 @@ dependencies = [

 [[package]]
 name = "lance-index-core"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5196,8 +5195,8 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5237,8 +5236,8 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5252,8 +5251,8 @@ dependencies = [

 [[package]]
 name = "lance-namespace"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "async-trait",
@@ -5265,8 +5264,8 @@ dependencies = [

 [[package]]
 name = "lance-namespace-impls"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "arrow-ipc",
@@ -5319,8 +5318,8 @@ dependencies = [

 [[package]]
 name = "lance-select"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5334,8 +5333,8 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -5375,8 +5374,8 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -5389,8 +5388,8 @@ dependencies = [

 [[package]]
 name = "lance-tokenizer"
-version = "12.0.0-beta.9"
-source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.9#6f93e3fe389f5a661a02aff00c14df6be7bf0505"
+version = "12.0.0-beta.6"
+source = "git+https://github.com/lance-format/lance.git?tag=v12.0.0-beta.6#667cb492c92f7cdb9f4c87218cd0e5e8071b5a5d"
 dependencies = [
 "frostem",
 "icu_segmenter",
@@ -5403,7 +5402,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.39.0-beta.0"
+version = "0.38.0"
 dependencies = [
 "ahash",
 "anyhow",
@@ -5491,7 +5490,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.39.0-beta.0"
+version = "0.38.0"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -5516,7 +5515,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.39.0-beta.0"
+version = "0.38.0"
 dependencies = [
 "arrow",
 "async-trait",
@@ -13,20 +13,20 @@ categories = ["database-implementations"]
 rust-version = "1.91.0"

 [workspace.dependencies]
-lance = { "version" = "=12.0.0-beta.9", default-features = false, "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-core = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-datagen = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-file = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-io = { "version" = "=12.0.0-beta.9", default-features = false, "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-index = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-linalg = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-namespace-impls = { "version" = "=12.0.0-beta.9", default-features = false, "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-table = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-testing = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-datafusion = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-encoding = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
-lance-arrow = { "version" = "=12.0.0-beta.9", "tag" = "v12.0.0-beta.9", "git" = "https://github.com/lance-format/lance.git" }
+lance = { "version" = "=12.0.0-beta.6", default-features = false, "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-core = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-datagen = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-file = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-io = { "version" = "=12.0.0-beta.6", default-features = false, "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-index = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-linalg = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-namespace-impls = { "version" = "=12.0.0-beta.6", default-features = false, "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-table = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-testing = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-datafusion = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-encoding = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "git" = "https://github.com/lance-format/lance.git" }
+lance-arrow = { "version" = "=12.0.0-beta.6", "tag" = "v12.0.0-beta.6", "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
@@ -446,15 +446,6 @@ paths:
              properties:
                column:
                  type: string
-                name:
-                  type: string
-                  description: Optional name for the created index.
-                replace:
-                  type: boolean
-                  default: true
-                  description: |
-                    Whether to replace an existing index with the same resolved
-                    name. Defaults to true.
                metric_type:
                  type: string
                  nullable: false
@@ -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.0</version>
+    <version>0.38.0</version>
 </dependency>
 ```

@@ -8,7 +8,7 @@
    <parent>
      <groupId>com.lancedb</groupId>
      <artifactId>lancedb-parent</artifactId>
-      <version>0.39.0-beta.0</version>
+      <version>0.38.0-final.0</version>
      <relativePath>../pom.xml</relativePath>
    </parent>

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

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.39.0-beta.0</version>
+    <version>0.38.0-final.0</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.9</lance-core.version>
+        <lance-core.version>12.0.0-beta.6</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.0"
+version = "0.38.0"
 publish = false
 license.workspace = true
 description.workspace = true
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.39.0-beta.0",
+	"version": "0.38.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.39.0-beta.0",
+	"version": "0.38.0",
 	"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.0",
+	"version": "0.38.0",
 	"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.0",
+	"version": "0.38.0",
 	"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.0",
+	"version": "0.38.0",
 	"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.0",
+  "version": "0.38.0",
  "os": [
    "win32"
  ],
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.39.0-beta.0",
+	"version": "0.38.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.39.0-beta.0",
+  "version": "0.38.0",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.39.0-beta.0"
+version = "0.38.0"
 publish = false
 edition.workspace = true
 description = "Python bindings for LanceDB"
@@ -150,7 +150,6 @@ class Connection(object):
    def job(self, job_id: str) -> Job: ...
    async def create_function_async(self, request_json: str) -> Job: ...
    async def get_function(self, name: str, version: str) -> str: ...
-    async def list_functions(self) -> List[str]: ...
    async def drop_function(self, name: str, version: str) -> bool: ...
    async def list_jobs(self) -> List[JobInfo]: ...
    async def get_job(self, job_id: str) -> Optional[JobDescription]: ...
@@ -608,7 +607,6 @@ class FullTextQuery:
 class PyQueryRequest:
    limit: Optional[int]
    offset: Optional[int]
-    take_offsets: Optional[List[int]]
    filter: Optional[Union[str, bytes]]
    full_text_search: Optional[FullTextQuery]
    select: Optional[Union[str, List[str]]]
@@ -712,24 +712,6 @@ class DBConnection(EnforceOverrides):
            "Function catalog operations are not supported for this connection type"
        )

-    def list_functions(self) -> List[FunctionVersion]:
-        """List every published immutable Function version.
-
-        Results are ordered by Function name then version. Local connections
-        raise ``NotImplementedError``.
-
-        Examples
-        --------
-        List the identities available to use in Function-backed columns:
-
-        ```python
-        [(function.name, function.version) for function in db.list_functions()]
-        ```
-        """
-        raise NotImplementedError(
-            "Function catalog operations are not supported for this connection type"
-        )
-
    def drop_function(self, name: str, *, version: str) -> bool:
        """Drop one exact immutable Function version from the remote catalog.

@@ -1441,10 +1423,6 @@ class LanceDBConnection(DBConnection):
    def get_function(self, name: str, *, version: str) -> FunctionVersion:
        return LOOP.run(self._conn.get_function(name, version=version))

-    @override
-    def list_functions(self) -> List[FunctionVersion]:
-        return LOOP.run(self._conn.list_functions())
-
    @override
    def drop_function(self, name: str, *, version: str) -> bool:
        return LOOP.run(self._conn.drop_function(name, version=version))
@@ -2279,17 +2257,6 @@ class AsyncConnection(object):
        """Open one exact immutable Function version from the remote catalog."""
        return FunctionVersion.from_json(await self._inner.get_function(name, version))

-    async def list_functions(self) -> List[FunctionVersion]:
-        """List every published immutable Function version.
-
-        Results are ordered by Function name then version. Local connections
-        raise ``NotImplementedError``.
-        """
-        return [
-            FunctionVersion.from_json(value)
-            for value in await self._inner.list_functions()
-        ]
-
    async def drop_function(self, name: str, *, version: str) -> bool:
        """Drop one exact immutable Function version from the remote catalog."""
        return await self._inner.drop_function(name, version)
@@ -521,12 +521,6 @@ class RefreshColumnResult(_RemoteValue):

 _FUNCTION_NAME = re.compile(r"^[A-Za-z_][A-Za-z0-9_.-]*$")
 _FUNCTION_BLOB_V2_TYPE = "blob_v2"
-_ARROW_EXTENSION_NAME_KEY = "ARROW:extension:name"
-_BLOB_V2_EXTENSION_NAME = "lance.blob.v2"
-_NESTED_BLOB_COLLECTION_ERROR = (
-    "unsupported Arrow type for Function signature: Blob v2 fields nested under "
-    "collection types are not supported"
-)


 _GRAMMAR_PRIMITIVES = (
@@ -597,19 +591,6 @@ def _validate_exact_arrow_field(field: pa.Field) -> None:
                "unsupported Arrow type for Function signature: lance.blob.v2 "
                f"requires a supported Blob storage layout, got {field}"
            )
-        metadata = {
-            (key.decode() if isinstance(key, bytes) else key): (
-                value.decode() if isinstance(value, bytes) else value
-            )
-            for key, value in (field.metadata or {}).items()
-        }
-        if metadata and metadata != {
-            _ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME
-        }:
-            raise TypeError(
-                "unsupported Arrow type for Function signature: lance.blob.v2 "
-                "field metadata must contain only its canonical extension marker"
-            )
    elif field.metadata:
        raise TypeError(
            "unsupported Arrow type for Function signature: field metadata "
@@ -674,84 +655,23 @@ def _canonical_arrow_field(field: pa.Field) -> str:
    return _canonical_arrow_type(field.type)


-def _blob_storage_type(field: pa.Field) -> pa.DataType:
-    data_type = field.type
-    if isinstance(data_type, pa.ExtensionType):
-        return data_type.storage_type
-    return data_type
-
-
-def _exact_blob_storage_type(field: pa.Field) -> dict[str, Any]:
-    storage = _blob_storage_type(field)
-    if not pa.types.is_struct(storage):
-        raise TypeError(
-            "unsupported Arrow type for Function signature: lance.blob.v2 "
-            "requires struct storage"
-        )
-    return {
-        "type": "struct",
-        "fields": [
-            {
-                "name": child.name,
-                "nullable": child.nullable,
-                "type": (
-                    {"type": "large_binary"}
-                    if pa.types.is_large_binary(child.type)
-                    else _exact_arrow_type(child.type)
-                ),
-            }
-            for child in storage
-        ],
-    }
-
-
-def _data_type_has_blob_v2(data_type: pa.DataType) -> bool:
-    if pa.types.is_struct(data_type):
-        return any(
-            _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-            for field in data_type
-        )
-    if (
-        pa.types.is_list(data_type)
-        or pa.types.is_large_list(data_type)
-        or pa.types.is_fixed_size_list(data_type)
-    ):
-        field = data_type.value_field
-        return _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-    if pa.types.is_map(data_type):
-        return any(
-            _is_blob_v2_field(field) or _data_type_has_blob_v2(field.type)
-            for field in (data_type.key_field, data_type.item_field)
-        )
-    return False
-
-
-def _exact_arrow_field(
-    field: pa.Field, *, inside_collection: bool = False
-) -> dict[str, Any]:
+def _exact_arrow_field(field: pa.Field) -> dict[str, Any]:
    _validate_exact_arrow_field(field)
    if _is_blob_v2_field(field):
-        if inside_collection:
-            raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
-        return {
-            "name": field.name,
-            "nullable": field.nullable,
-            "type": _exact_blob_storage_type(field),
-            "metadata": {
-                _ARROW_EXTENSION_NAME_KEY: _BLOB_V2_EXTENSION_NAME,
-            },
-        }
+        raise TypeError(
+            "unsupported Arrow type for Function signature: nested Blob v2 "
+            "fields are not supported; declare Blob parameters or named result "
+            "fields directly"
+        )
    value = {
        "name": field.name,
        "nullable": field.nullable,
-        "type": _exact_arrow_type(field.type, inside_collection=inside_collection),
+        "type": _exact_arrow_type(field.type),
    }
    return value


-def _exact_arrow_type(
-    data_type: pa.DataType, *, inside_collection: bool = False
-) -> dict[str, Any]:
+def _exact_arrow_type(data_type: pa.DataType) -> dict[str, Any]:
    for candidate, name in _GRAMMAR_PRIMITIVES:
        if data_type == candidate:
            return {"type": name}
@@ -765,10 +685,7 @@ def _exact_arrow_type(
            )
        return {
            "type": "struct",
-            "fields": [
-                _exact_arrow_field(field, inside_collection=inside_collection)
-                for field in fields
-            ],
+            "fields": [_exact_arrow_field(field) for field in fields],
        }
    if (
        pa.types.is_list(data_type)
@@ -793,15 +710,11 @@ def _exact_arrow_type(
                if pa.types.is_large_list(data_type)
                else "fixed_size_list"
            ),
-            "fields": [
-                _exact_arrow_field(data_type.value_field, inside_collection=True)
-            ],
+            "fields": [_exact_arrow_field(data_type.value_field)],
        }
        if pa.types.is_fixed_size_list(data_type):
            value["length"] = data_type.list_size
        return value
-    if pa.types.is_map(data_type) and _data_type_has_blob_v2(data_type):
-        raise TypeError(_NESTED_BLOB_COLLECTION_ERROR)
    raise TypeError(f"unsupported Arrow type for Function signature: {data_type}")


@@ -109,7 +109,6 @@ def _query_is_plain_scan(query: Query) -> bool:
    return (
        query.vector is None
        and query.full_text_query is None
-        and query.take_offsets is None
        and not query.postfilter
        and not query.order_by
    )
@@ -805,10 +804,6 @@ class Query(pydantic.BaseModel):
    # offset to start fetching results from
    offset: Optional[int] = None

-    # Dataset offsets whose duplicate occurrences must be restored after lookup.
-    # This is populated when a take query is converted to this serializable form.
-    take_offsets: Optional[List[int]] = None
-
    # if true, will only search the indexed data
    fast_search: Optional[bool] = None

@@ -830,7 +825,6 @@ class Query(pydantic.BaseModel):
        query = cls()
        query.limit = req.limit
        query.offset = req.offset
-        query.take_offsets = req.take_offsets
        query.filter = req.filter
        query.full_text_query = req.full_text_search
        query.columns = req.select
@@ -749,10 +749,6 @@ class RemoteDBConnection(DBConnection):
    def get_function(self, name: str, *, version: str) -> FunctionVersion:
        return LOOP.run(self._conn.get_function(name, version=version))

-    @override
-    def list_functions(self) -> List[FunctionVersion]:
-        return LOOP.run(self._conn.list_functions())
-
    @override
    def drop_function(self, name: str, *, version: str) -> bool:
        return LOOP.run(self._conn.drop_function(name, version=version))
@@ -548,7 +548,6 @@ class RemoteTable(Table):
        LOOP.run(
            self._table.create_index(
                column,
-                replace=replace,
                config=config,
                wait_timeout=wait_timeout,
                name=name,
@@ -1678,9 +1678,9 @@ class Table(ABC):
        Offsets are mostly useful for sampling as the set of all valid offsets is easily
        known in advance to be [0, len(table)).

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

        Parameters
        ----------
@@ -4090,7 +4090,6 @@ class LanceTable(Table):
            )
            and not self._route_pushdown_to_rust
            and self.current_branch() is None
-            and query.take_offsets is None
        ):
            from lancedb.namespace import _execute_server_side_query

@@ -5984,23 +5983,7 @@ class AsyncTable:

    def _sync_query_to_async(
        self, query: Query
-    ) -> (
-        AsyncHybridQuery
-        | AsyncFTSQuery
-        | AsyncVectorQuery
-        | AsyncQuery
-        | AsyncTakeQuery
-    ):
-        if query.take_offsets is not None:
-            take_query = self.take_offsets(query.take_offsets)
-            if query.columns:
-                take_query = take_query.select(query.columns)
-            if query.use_lsm is not None:
-                take_query = take_query.use_lsm(query.use_lsm)
-            if query.with_row_id:
-                take_query = take_query.with_row_id()
-            return take_query
-
+    ) -> AsyncHybridQuery | AsyncFTSQuery | AsyncVectorQuery | AsyncQuery:
        async_query = self.query()
        if query.limit is not None:
            async_query = async_query.limit(query.limit)
@@ -6065,7 +6048,6 @@ class AsyncTable:
                self._namespace_client, self._pushdown_operations
            )
            and not self._route_pushdown_to_rust
-            and query.take_offsets is None
        ):
            from lancedb.namespace import _execute_server_side_query

@@ -6563,9 +6545,6 @@ class AsyncTable:
        Offsets are mostly useful for sampling as the set of all valid offsets is easily
        known in advance to be [0, len(table)).

-        No guarantees are made regarding the order in which results are returned.
-        Repeated offsets produce repeated rows.
-
        Parameters
        ----------
        offsets: list[int]
@@ -668,167 +668,6 @@ def test_blob_fields_use_the_scalar_function_semantic_type():
    assert signature.output.arrow_type == "blob_v2"


-def test_whole_named_struct_function_can_include_a_blob_result_field():
-    @udf(
-        input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
-        output_schema=pa.field(
-            "payload",
-            pa.struct(
-                [
-                    pa.field("mime_type", pa.string(), nullable=False),
-                    lancedb.blob("image", nullable=False),
-                ]
-            ),
-            nullable=False,
-        ),
-    )
-    def inspect_blob(image):
-        return {"mime_type": "image/png", "image": image}
-
-    output = inspect_blob.registration_request.signature.output
-    assert output.kind == "named_struct"
-    assert [(field.name, field.arrow_type) for field in output.fields] == [
-        ("mime_type", "utf8"),
-        ("image", "blob_v2"),
-    ]
-
-
-def test_struct_blob_signature_fields_preserve_exact_metadata_and_nullability():
-    nested_input = pa.field(
-        "payload",
-        pa.struct(
-            [
-                pa.field("mime_type", pa.string(), nullable=False),
-                pa.field(
-                    "nested",
-                    pa.struct([lancedb.blob("image", nullable=True)]),
-                    nullable=True,
-                ),
-            ]
-        ),
-        nullable=True,
-    )
-    nested_output = pa.field(
-        "result",
-        pa.struct(
-            [
-                pa.field("mime_type", pa.string(), nullable=False),
-                pa.field(
-                    "nested",
-                    pa.struct([lancedb.blob("image", nullable=True)]),
-                    nullable=False,
-                ),
-            ]
-        ),
-        nullable=False,
-    )
-
-    @udf(input_schema=pa.schema([nested_input]), output_schema=nested_output)
-    def copy_payload(payload):
-        return payload
-
-    signature = copy_payload.registration_request.signature
-    input_type = json.loads(signature.inputs[0].arrow_type)
-    assert input_type["fields"][1]["nullable"] is True
-    input_blob = input_type["fields"][1]["type"]["fields"][0]
-    assert input_blob["nullable"] is True
-    assert input_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
-
-    assert signature.output.kind == "named_struct"
-    nested_result = next(
-        field for field in signature.output.fields if field.name == "nested"
-    )
-    output_type = json.loads(nested_result.arrow_type)
-    output_blob = output_type["fields"][0]
-    assert output_blob["nullable"] is True
-    assert output_blob["metadata"] == {"ARROW:extension:name": "lance.blob.v2"}
-
-
-def test_struct_blob_signature_supports_multiple_struct_levels():
-    recursive = pa.field(
-        "value",
-        pa.struct(
-            [
-                pa.field(
-                    "level_1",
-                    pa.struct(
-                        [
-                            pa.field(
-                                "level_2",
-                                pa.struct([lancedb.blob("image", nullable=False)]),
-                                nullable=False,
-                            )
-                        ]
-                    ),
-                    nullable=False,
-                )
-            ]
-        ),
-        nullable=False,
-    )
-
-    @udf(
-        input_schema=pa.schema([recursive]),
-        output_schema=pa.field("size", pa.int64(), nullable=False),
-    )
-    def blob_size(value):
-        return len(value["level_1"]["level_2"]["image"])
-
-    encoded = json.loads(blob_size.registration_request.signature.inputs[0].arrow_type)
-    blob = encoded["fields"][0]["type"]["fields"][0]["type"]["fields"][0]
-    assert blob["metadata"]["ARROW:extension:name"] == "lance.blob.v2"
-
-
-@pytest.mark.parametrize(
-    "data_type",
-    [
-        pa.list_(lancedb.blob("item", nullable=False)),
-        pa.large_list(lancedb.blob("item", nullable=False)),
-        pa.list_(lancedb.blob("item", nullable=False), 2),
-        pa.map_(pa.string(), lancedb.blob("value", nullable=False).type),
-    ],
-)
-def test_blob_signature_rejects_collection_ancestors(data_type):
-    with pytest.raises(
-        TypeError,
-        match="Blob v2 fields nested under collection types are not supported",
-    ):
-
-        @udf(
-            input_schema=pa.schema([pa.field("value", data_type, nullable=False)]),
-            output_schema=pa.field("size", pa.int64(), nullable=False),
-        )
-        def blob_size(value):
-            return len(value)
-
-
-def test_blob_signature_rejects_collection_below_a_struct():
-    nested = pa.field(
-        "value",
-        pa.struct(
-            [
-                pa.field(
-                    "images",
-                    pa.list_(lancedb.blob("item", nullable=False)),
-                    nullable=False,
-                )
-            ]
-        ),
-        nullable=False,
-    )
-    with pytest.raises(
-        TypeError,
-        match="Blob v2 fields nested under collection types are not supported",
-    ):
-
-        @udf(
-            input_schema=pa.schema([nested]),
-            output_schema=pa.field("size", pa.int64(), nullable=False),
-        )
-        def blob_size(value):
-            return len(value["images"])
-
-
 def test_named_struct_function_can_include_a_blob_result_field():
    @udf(
        input_schema=pa.schema([lancedb.blob("image", nullable=False)]),
@@ -890,6 +729,22 @@ def test_blob_marker_rejects_invalid_storage_layout():
            return len(image)


+def test_nested_blob_signature_field_has_a_clear_error():
+    nested = pa.field(
+        "value",
+        pa.struct([lancedb.blob("image", nullable=False)]),
+        nullable=False,
+    )
+    with pytest.raises(TypeError, match="nested Blob v2 fields are not supported"):
+
+        @udf(
+            input_schema=pa.schema([nested]),
+            output_schema=pa.field("size", pa.int64(), nullable=False),
+        )
+        def blob_size(value):
+            return len(value["image"])
+
+
 def test_nested_non_blob_extension_is_not_silently_unwrapped():
    class TestExtension(pa.ExtensionType):
        def __init__(self):
@@ -1162,8 +1017,6 @@ def test_local_function_catalog_operations_are_not_supported(tmp_path):
        db.create_function_async(normalize_score)
    with pytest.raises(NotImplementedError, match=message):
        db.get_function("normalize_score", version="fv_exact")
-    with pytest.raises(NotImplementedError, match=message):
-        db.list_functions()
    with pytest.raises(NotImplementedError, match=message):
        db.drop_function("normalize_score", version="fv_exact")

@@ -1211,22 +1064,6 @@ def _mock_remote_function_catalog():
                    "version": "fv_exact",
                }
                response = state["version"]
-            elif self.path == "/v1/functions/list":
-                assert body["include_definition"] is True
-                if "page_token" not in body:
-                    response = {
-                        "functions": [
-                            {
-                                "name": "normalize_score",
-                                "version": "fv_exact",
-                                "definition": state["version"],
-                            }
-                        ],
-                        "page_token": "next",
-                    }
-                else:
-                    assert body["page_token"] == "next"
-                    response = {"functions": []}
            elif self.path == "/v1/functions/drop":
                assert body == {
                    "name": "normalize_score",
@@ -1293,49 +1130,6 @@ def test_blocking_remote_registration_returns_function_version():
    ]


-def test_remote_list_functions_paginates_and_returns_typed_versions():
-    with _mock_remote_function_catalog() as (host, state):
-        db = lancedb.connect(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        created = db.create_function(normalize_score)
-        state["requests"].clear()
-        functions = db.list_functions()
-
-    assert functions == [created]
-    assert state["requests"] == [
-        ("/v1/functions/list", {"include_definition": True}),
-        (
-            "/v1/functions/list",
-            {"include_definition": True, "page_token": "next"},
-        ),
-    ]
-
-
-@pytest.mark.asyncio
-async def test_async_remote_list_functions_returns_typed_versions():
-    with _mock_remote_function_catalog() as (host, state):
-        db = await lancedb.connect_async(
-            "db://dev",
-            api_key="fake",
-            host_override=host,
-            client_config={"retry_config": {"retries": 0}},
-        )
-        registration = await db.create_function_async(normalize_score)
-        created = await registration.wait()
-        state["requests"].clear()
-        functions = await db.list_functions()
-
-    assert functions == [created]
-    assert [path for path, _ in state["requests"]] == [
-        "/v1/functions/list",
-        "/v1/functions/list",
-    ]
-
-
 def test_remote_drop_function_sends_exact_version():
    with _mock_remote_function_catalog() as (host, state):
        db = lancedb.connect(
@@ -1923,21 +1923,6 @@ def test_take_queries(tmp_path):
        17,
    ]

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

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

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


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

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

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

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

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

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


 def test_table_wait_for_index_timeout():
@@ -629,19 +629,6 @@ impl Connection {
        })
    }

-    pub fn list_functions(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.get_inner()?.clone();
-        future_into_py(self_.py(), async move {
-            inner
-                .list_functions()
-                .await
-                .infer_error()?
-                .into_iter()
-                .map(|function| function.to_canonical_json().infer_error())
-                .collect::<PyResult<Vec<_>>>()
-        })
-    }
-
    pub fn drop_function(
        self_: PyRef<'_, Self>,
        name: String,
@@ -323,7 +323,6 @@ impl<'py> IntoPyObject<'py> for PyQueryVectors {
 pub struct PyQueryRequest {
    pub limit: Option<usize>,
    pub offset: Option<usize>,
-    pub take_offsets: Option<Vec<u64>>,
    pub filter: Option<PyQueryFilter>,
    pub full_text_search: Option<PyLanceDB<FtsQuery>>,
    pub select: PySelect,
@@ -354,7 +353,6 @@ impl From<AnyQuery> for PyQueryRequest {
            AnyQuery::Query(query_request) => Self {
                limit: query_request.limit,
                offset: query_request.offset,
-                take_offsets: query_request.take_offsets,
                filter: query_request.filter.map(PyQueryFilter),
                full_text_search: query_request
                    .full_text_search
@@ -383,7 +381,6 @@ impl From<AnyQuery> for PyQueryRequest {
            AnyQuery::VectorQuery(vector_query) => Self {
                limit: vector_query.base.limit,
                offset: vector_query.base.offset,
-                take_offsets: vector_query.base.take_offsets,
                filter: vector_query.base.filter.map(PyQueryFilter),
                full_text_search: None,
                select_source_columns: PySelect::source_columns(&vector_query.base.select),
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.39.0-beta.0"
+version = "0.38.0"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
@@ -523,28 +523,6 @@ impl Connection {
            .await
    }

-    /// List every published immutable Function version in the remote catalog.
-    ///
-    /// Results are ordered by Function name then version. The client walks all
-    /// server pages before returning. Local databases return
-    /// [`Error::NotSupported`].
-    ///
-    /// # Example
-    ///
-    /// ```no_run
-    /// # async fn list_functions(
-    /// #     connection: &lancedb::Connection,
-    /// # ) -> Result<(), Box<dyn std::error::Error>> {
-    /// for function in connection.list_functions().await? {
-    ///     println!("{} {}", function.name(), function.version());
-    /// }
-    /// # Ok(())
-    /// # }
-    /// ```
-    pub async fn list_functions(&self) -> Result<Vec<crate::function::FunctionVersion>> {
-        self.internal.list_functions().await
-    }
-
    /// Drop one exact immutable Function version from the remote catalog.
    ///
    /// Returns `true` when the server appended a Dropped transition and
@@ -307,10 +307,6 @@ pub trait Database:
    ) -> Result<crate::function::FunctionVersion> {
        function_catalog_not_supported()
    }
-    /// List every published immutable Function version in the remote catalog.
-    async fn list_functions(&self) -> Result<Vec<crate::function::FunctionVersion>> {
-        function_catalog_not_supported()
-    }
    /// Drop one exact immutable Function version from the remote catalog.
    async fn drop_function(&self, _name: &str, _version: &str) -> Result<bool> {
        function_catalog_not_supported()
@@ -31,7 +31,7 @@ use lance::io::RecordBatchStream;
 use lance_arrow::RecordBatchExt;
 use lance_core::ROW_ID;
 use lance_core::error::LanceOptionExt;
-use std::collections::{HashMap, HashSet};
+use std::collections::HashMap;
 use std::sync::Arc;

 /// Reads a permutation of a source table based on row IDs stored in a separate table
@@ -234,14 +234,7 @@ impl PermutationReader {
            .expect_ok()?
            .values();

-        let mut unique_row_ids = HashSet::with_capacity(num_rows);
-        let in_list: Vec<Expr> = row_ids
-            .iter()
-            .copied()
-            .filter(|row_id| unique_row_ids.insert(*row_id))
-            .map(lit)
-            .collect();
-        let num_unique_row_ids = unique_row_ids.len();
+        let in_list: Vec<Expr> = row_ids.iter().map(|id| lit(*id)).collect();

        let base_query = QueryRequest {
            filter: Some(QueryFilter::Datafusion(col(ROW_ID).in_list(in_list, false))),
@@ -254,7 +247,7 @@ impl PermutationReader {
            .query(
                &AnyQuery::Query(base_query),
                QueryExecutionOptions {
-                    max_batch_length: num_unique_row_ids as u32,
+                    max_batch_length: num_rows as u32,
                    ..Default::default()
                },
            )
@@ -269,9 +262,9 @@ impl PermutationReader {
            });
        }

-        if batches.iter().map(|b| b.num_rows()).sum::<usize>() != num_unique_row_ids {
+        if batches.iter().map(|b| b.num_rows()).sum::<usize>() != num_rows {
            return Err(Error::InvalidInput {
-                message: "Base table returned a different number of rows than the number of unique row IDs"
+                message: "Base table returned different number of rows than the number of row IDs"
                    .to_string(),
            });
        }
@@ -511,7 +504,6 @@ impl PermutationReader {
            let table = Table::from(self.base_table.clone());
            let batches = table
                .take_offsets(offsets.to_vec())
-                .preserve_order()
                .select(selection.clone())
                .execute()
                .await?
@@ -811,10 +803,10 @@ mod tests {
        .unwrap();

        // Take offsets in reverse order and verify returned rows match that order
-        let offsets = vec![5, 3, 5, 1, 0];
+        let offsets = vec![5, 3, 1, 0];
        let batch = reader.take_offsets(&offsets, Select::All).await.unwrap();

-        assert_eq!(batch.num_rows(), 5);
+        assert_eq!(batch.num_rows(), 4);

        let idx_values = batch
            .column(0)
@@ -828,52 +820,6 @@ mod tests {
        assert_eq!(idx_values, expected);
    }

-    #[tokio::test]
-    async fn test_take_offsets_preserves_repeated_rows_in_permutation() {
-        let base_table = lance_datagen::gen_batch()
-            .col("idx", lance_datagen::array::step::<Int32Type>())
-            .into_mem_table("tbl", RowCount::from(5), BatchCount::from(1))
-            .await;
-        let base_row_ids = collect_column::<UInt64Type>(&base_table, "_rowid").await;
-        let permutation_row_ids = vec![
-            base_row_ids[3],
-            base_row_ids[1],
-            base_row_ids[3],
-            base_row_ids[2],
-        ];
-        let permutation_batch = RecordBatch::try_new(
-            Arc::new(Schema::new(vec![
-                Field::new("row_id", DataType::UInt64, false),
-                Field::new(SPLIT_ID_COLUMN, DataType::UInt64, false),
-            ])),
-            vec![
-                Arc::new(UInt64Array::from(permutation_row_ids)),
-                Arc::new(UInt64Array::from(vec![0; 4])),
-            ],
-        )
-        .unwrap();
-        let permutation_table = virtual_table("row_ids", &permutation_batch).await;
-        let reader = PermutationReader::try_from_tables(
-            base_table.base_table().clone(),
-            permutation_table.base_table().clone(),
-            0,
-        )
-        .await
-        .unwrap();
-
-        let batch = reader
-            .take_offsets(&[0, 1, 2, 3], Select::All)
-            .await
-            .unwrap();
-        let idx_values = batch
-            .column(0)
-            .as_primitive::<Int32Type>()
-            .values()
-            .to_vec();
-
-        assert_eq!(idx_values, vec![3, 1, 3, 2]);
-    }
-
    #[tokio::test]
    async fn test_take_offsets_with_column_selection() {
        let (base_table, row_ids_table, row_ids) = setup_permutation_tables(10).await;
@@ -937,17 +883,17 @@ mod tests {
            .unwrap();

        // With no permutation table, take_offsets uses the base table directly
-        let offsets = vec![0, 2, 0, 4, 6];
+        let offsets = vec![0, 2, 4, 6];
        let batch = reader.take_offsets(&offsets, Select::All).await.unwrap();

-        assert_eq!(batch.num_rows(), 5);
+        assert_eq!(batch.num_rows(), 4);

        let idx_values = batch
            .column(0)
            .as_primitive::<Int32Type>()
            .values()
            .to_vec();
-        assert_eq!(idx_values, vec![0, 2, 0, 4, 6]);
+        assert_eq!(idx_values, vec![0, 2, 4, 6]);
    }

    #[tokio::test]
@@ -1,37 +1,21 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use std::collections::{HashMap, HashSet};
-use std::pin::Pin;
 use std::sync::Arc;
 use std::{future::Future, time::Duration};

 use arrow::compute::concat_batches;
-use arrow_array::{
-    Array, Float16Array, Float32Array, Float64Array, RecordBatch, UInt64Array,
-    cast::AsArray,
-    make_array,
-    types::{Int64Type, UInt64Type},
-};
+use arrow_array::{Array, Float16Array, Float32Array, Float64Array, RecordBatch, make_array};
 use arrow_schema::{DataType, SchemaRef};
-use datafusion_common::{DataFusionError, Result as DataFusionResult};
-use datafusion_execution::TaskContext;
 use datafusion_expr::{Expr, col, lit};
-use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
-use datafusion_physical_plan::{
-    DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
-    coalesce_partitions::CoalescePartitionsExec,
-    execution_plan::{Boundedness, EmissionType},
-    limit::GlobalLimitExec,
-    stream::RecordBatchStreamAdapter,
-};
-use futures::{FutureExt, StreamExt, TryFutureExt, TryStreamExt, stream, try_join};
+use datafusion_physical_plan::ExecutionPlan;
+use futures::{FutureExt, TryFutureExt, TryStreamExt, stream, try_join};
 use half::f16;
 /// Re-export Lance ColumnOrdering type for use in query ordering
 pub use lance::dataset::scanner::ColumnOrdering;
 use lance::dataset::{ROW_ID, scanner::DatasetRecordBatchStream};
 use lance_arrow::RecordBatchExt;
-use lance_datafusion::exec::{execute_plan, format_plan as format_analyzed_plan};
+use lance_datafusion::exec::execute_plan;
 use lance_index::scalar::FullTextSearchQuery;
 use lance_index::scalar::inverted::SCORE_COL;
 use lance_index::vector::DIST_COL;
@@ -841,14 +825,6 @@ pub struct QueryRequest {
    /// Offset of the query.
    pub offset: Option<usize>,

-    /// Dataset offsets whose occurrence multiplicity must be restored after
-    /// executing the physical lookup represented by this request.
-    ///
-    /// This is client-side execution metadata used when a [`TakeQuery`] is
-    /// converted into a request. It is not sent to remote services.
-    #[doc(hidden)]
-    pub take_offsets: Option<Vec<u64>>,
-
    /// Apply filter to the returned rows.
    pub filter: Option<QueryFilter>,

@@ -917,7 +893,6 @@ impl Default for QueryRequest {
        Self {
            limit: None,
            offset: None,
-            take_offsets: None,
            filter: None,
            filter_error: None,
            full_text_search: None,
@@ -1554,302 +1529,6 @@ impl HasQuery for VectorQuery {
    }
 }

-fn take_occurrences(offsets: &[u64]) -> HashMap<u64, usize> {
-    let mut occurrences = HashMap::with_capacity(offsets.len());
-    for offset in offsets {
-        *occurrences.entry(*offset).or_insert(0) += 1;
-    }
-    occurrences
-}
-
-fn restore_take_batch_with_occurrences(
-    batch: RecordBatch,
-    offsets: &[u64],
-    occurrences: &HashMap<u64, usize>,
-    ordering_column: &str,
-    drop_ordering_column: bool,
-    preserve_order: bool,
-) -> Result<RecordBatch> {
-    let actual_offsets = batch
-        .column_by_name(ordering_column)
-        .ok_or_else(|| Error::Schema {
-            message: format!(
-                "take query result did not include ordering column '{ordering_column}'"
-            ),
-        })?;
-    let actual_offsets = match actual_offsets.data_type() {
-        DataType::UInt64 => actual_offsets
-            .as_primitive::<UInt64Type>()
-            .values()
-            .to_vec(),
-        DataType::Int64 => actual_offsets
-            .as_primitive::<Int64Type>()
-            .values()
-            .iter()
-            .map(|offset| {
-                u64::try_from(*offset).map_err(|_| Error::Schema {
-                    message: format!(
-                        "take query ordering column '{ordering_column}' contained a negative offset"
-                    ),
-                })
-            })
-            .collect::<Result<Vec<_>>>()?,
-        data_type => {
-            return Err(Error::Schema {
-                message: format!(
-                    "take query ordering column '{ordering_column}' had unsupported type {data_type}"
-                ),
-            });
-        }
-    };
-
-    let mut desired_order = Vec::with_capacity(offsets.len());
-    if preserve_order {
-        let ordering = actual_offsets
-            .iter()
-            .copied()
-            .enumerate()
-            .map(|(index, offset)| (offset, index as u64))
-            .collect::<HashMap<_, _>>();
-        // Missing offsets retain the filter-based behavior of returning no row.
-        desired_order.extend(
-            offsets
-                .iter()
-                .filter_map(|offset| ordering.get(offset).copied()),
-        );
-    } else {
-        // Public take queries do not guarantee output order. Preserve the lookup's
-        // existing order and only restore the multiplicity of each matching row.
-        for (index, offset) in actual_offsets.iter().enumerate() {
-            if let Some(count) = occurrences.get(offset) {
-                desired_order.extend(std::iter::repeat_n(index as u64, *count));
-            }
-        }
-    }
-
-    let mut ordered_batch = if desired_order.len() == batch.num_rows()
-        && desired_order
-            .iter()
-            .enumerate()
-            .all(|(index, desired)| *desired == index as u64)
-    {
-        batch
-    } else {
-        arrow_select::take::take_record_batch(&batch, &UInt64Array::from(desired_order))?
-    };
-
-    if drop_ordering_column {
-        ordered_batch = ordered_batch.drop_column(ordering_column)?;
-    }
-
-    Ok(ordered_batch)
-}
-
-#[cfg(test)]
-fn restore_take_batch(
-    batch: RecordBatch,
-    offsets: &[u64],
-    ordering_column: &str,
-    drop_ordering_column: bool,
-    preserve_order: bool,
-) -> Result<RecordBatch> {
-    restore_take_batch_with_occurrences(
-        batch,
-        offsets,
-        &take_occurrences(offsets),
-        ordering_column,
-        drop_ordering_column,
-        preserve_order,
-    )
-}
-
-/// Restores the logical offset occurrence sequence above the physical lookup plan.
-///
-/// The lookup plan returns each matching row at most once. For ordinary unordered
-/// takes this operator expands each input batch incrementally and preserves the
-/// lookup's partitioning. The explicitly ordered reader path collects one coalesced
-/// input before restoring requested order. Pagination must remain above this operator
-/// so it applies to occurrences.
-#[derive(Debug)]
-struct TakeRestoreExec {
-    input: Arc<dyn ExecutionPlan>,
-    offsets: Vec<u64>,
-    occurrences: Arc<HashMap<u64, usize>>,
-    ordering_column: String,
-    drop_ordering_column: bool,
-    preserve_order: bool,
-    schema: SchemaRef,
-    properties: Arc<PlanProperties>,
-}
-
-impl TakeRestoreExec {
-    fn try_new(
-        input: Arc<dyn ExecutionPlan>,
-        offsets: Vec<u64>,
-        ordering_column: String,
-        drop_ordering_column: bool,
-        preserve_order: bool,
-    ) -> Result<Self> {
-        let schema = if drop_ordering_column {
-            RecordBatch::new_empty(input.schema())
-                .drop_column(&ordering_column)?
-                .schema()
-        } else {
-            input.schema()
-        };
-        let partition_count = if preserve_order {
-            1
-        } else {
-            input.output_partitioning().partition_count()
-        };
-        let emission_type = if preserve_order {
-            EmissionType::Final
-        } else {
-            EmissionType::Incremental
-        };
-        let properties = Arc::new(PlanProperties::new(
-            EquivalenceProperties::new(schema.clone()),
-            Partitioning::UnknownPartitioning(partition_count),
-            emission_type,
-            Boundedness::Bounded,
-        ));
-
-        Ok(Self {
-            input,
-            occurrences: Arc::new(take_occurrences(&offsets)),
-            offsets,
-            ordering_column,
-            drop_ordering_column,
-            preserve_order,
-            schema,
-            properties,
-        })
-    }
-}
-
-impl DisplayAs for TakeRestoreExec {
-    fn fmt_as(
-        &self,
-        _display_type: DisplayFormatType,
-        formatter: &mut std::fmt::Formatter<'_>,
-    ) -> std::fmt::Result {
-        write!(
-            formatter,
-            "TakeRestoreExec: occurrences={}",
-            self.offsets.len()
-        )
-    }
-}
-
-impl ExecutionPlan for TakeRestoreExec {
-    fn name(&self) -> &str {
-        "TakeRestoreExec"
-    }
-
-    fn properties(&self) -> &Arc<PlanProperties> {
-        &self.properties
-    }
-
-    fn children(&self) -> Vec<&Arc<dyn ExecutionPlan>> {
-        vec![&self.input]
-    }
-
-    fn maintains_input_order(&self) -> Vec<bool> {
-        vec![!self.preserve_order]
-    }
-
-    fn benefits_from_input_partitioning(&self) -> Vec<bool> {
-        vec![false]
-    }
-
-    fn with_new_children(
-        self: Arc<Self>,
-        children: Vec<Arc<dyn ExecutionPlan>>,
-    ) -> DataFusionResult<Arc<dyn ExecutionPlan>> {
-        if children.len() != 1 {
-            return Err(DataFusionError::Internal(format!(
-                "TakeRestoreExec expected one child, got {}",
-                children.len()
-            )));
-        }
-        let child = children.into_iter().next().unwrap();
-        let plan = Self::try_new(
-            child,
-            self.offsets.clone(),
-            self.ordering_column.clone(),
-            self.drop_ordering_column,
-            self.preserve_order,
-        )
-        .map_err(|error| DataFusionError::External(Box::new(error)))?;
-        Ok(Arc::new(plan))
-    }
-
-    fn execute(
-        &self,
-        partition: usize,
-        context: Arc<TaskContext>,
-    ) -> DataFusionResult<datafusion_physical_plan::SendableRecordBatchStream> {
-        let partition_count = self.input.output_partitioning().partition_count();
-        if partition >= partition_count || (self.preserve_order && partition != 0) {
-            return Err(DataFusionError::Internal(format!(
-                "TakeRestoreExec cannot execute partition {partition}; input has {partition_count} partitions"
-            )));
-        }
-
-        let input = self.input.execute(partition, context)?;
-        let output_schema = self.schema.clone();
-        let offsets = self.offsets.clone();
-        let occurrences = self.occurrences.clone();
-        let ordering_column = self.ordering_column.clone();
-        let drop_ordering_column = self.drop_ordering_column;
-        let preserve_order = self.preserve_order;
-        let stream: Pin<Box<dyn futures::Stream<Item = DataFusionResult<RecordBatch>> + Send>> =
-            if preserve_order {
-                let input_schema = input.schema();
-                Box::pin(stream::once(async move {
-                    let batches = input.try_collect::<Vec<_>>().await?;
-                    let batch = if batches.is_empty() {
-                        RecordBatch::new_empty(input_schema.clone())
-                    } else {
-                        concat_batches(&input_schema, &batches)?
-                    };
-                    restore_take_batch_with_occurrences(
-                        batch,
-                        &offsets,
-                        &occurrences,
-                        &ordering_column,
-                        drop_ordering_column,
-                        true,
-                    )
-                    .map_err(|error| DataFusionError::External(Box::new(error)))
-                }))
-            } else {
-                Box::pin(input.map(move |batch| {
-                    batch.and_then(|batch| {
-                        restore_take_batch_with_occurrences(
-                            batch,
-                            &offsets,
-                            &occurrences,
-                            &ordering_column,
-                            drop_ordering_column,
-                            false,
-                        )
-                        .map_err(|error| DataFusionError::External(Box::new(error)))
-                    })
-                }))
-            };
-
-        Ok(Box::pin(RecordBatchStreamAdapter::new(
-            output_schema,
-            stream,
-        )))
-    }
-
-    fn supports_limit_pushdown(&self) -> bool {
-        false
-    }
-}
-
 /// A builder for LanceDB take queries.
 ///
 /// See [`crate::Table::query`] for more details on queries
@@ -1866,8 +1545,6 @@ impl ExecutionPlan for TakeRestoreExec {
 pub struct TakeQuery {
    parent: Arc<dyn BaseTable>,
    request: QueryRequest,
-    offsets: Option<Vec<u64>>,
-    preserve_order: bool,
 }

 impl TakeQuery {
@@ -1875,24 +1552,15 @@ impl TakeQuery {
    ///
    /// See [`crate::Table::take_offsets`] for more details.
    pub fn from_offsets(parent: Arc<dyn BaseTable>, offsets: Vec<u64>) -> Self {
-        let mut seen = HashSet::with_capacity(offsets.len());
-        let in_list: Vec<Expr> = offsets
-            .iter()
-            .copied()
-            .filter(|offset| seen.insert(*offset))
-            .map(lit)
-            .collect();
+        let in_list: Vec<Expr> = offsets.iter().map(|o| lit(*o)).collect();
        Self {
            parent,
            request: QueryRequest {
                filter: Some(QueryFilter::Datafusion(
                    col("_rowoffset").in_list(in_list, false),
                )),
-                take_offsets: Some(offsets.clone()),
                ..Default::default()
            },
-            offsets: Some(offsets),
-            preserve_order: false,
        }
    }

@@ -1907,181 +1575,9 @@ impl TakeQuery {
                filter: Some(QueryFilter::Datafusion(col(ROW_ID).in_list(in_list, false))),
                ..Default::default()
            },
-            offsets: None,
-            preserve_order: false,
        }
    }

-    /// Preserve the requested offset order when restoring duplicate occurrences.
-    ///
-    /// This is reserved for readers whose API explicitly guarantees ordering.
-    pub(crate) fn preserve_order(mut self) -> Self {
-        debug_assert!(self.offsets.is_some());
-        self.preserve_order = true;
-        self
-    }
-
-    async fn request_with_row_offset(
-        parent: &dyn BaseTable,
-        request: &QueryRequest,
-    ) -> Result<(QueryRequest, String, bool)> {
-        const ROW_OFFSET: &str = "_rowoffset";
-        const INTERNAL_ROW_OFFSET: &str = "__lancedb_take_row_offset";
-
-        let mut request = request.clone();
-        // The physical lookup must not recursively restore occurrences. The
-        // wrapper above this request owns that logical operation.
-        request.take_offsets = None;
-        let (ordering_column, drop_ordering_column) = match &mut request.select {
-            Select::All => {
-                let mut columns = parent
-                    .schema()
-                    .await?
-                    .fields()
-                    .iter()
-                    .map(|field| field.name().clone())
-                    .collect::<Vec<_>>();
-                columns.push(ROW_OFFSET.to_string());
-                request.select = Select::Columns(columns);
-                (ROW_OFFSET.to_string(), true)
-            }
-            Select::Columns(columns) => {
-                if columns.iter().any(|column| column == ROW_OFFSET) {
-                    (ROW_OFFSET.to_string(), false)
-                } else {
-                    columns.push(ROW_OFFSET.to_string());
-                    (ROW_OFFSET.to_string(), true)
-                }
-            }
-            Select::Dynamic(columns) => {
-                let mut ordering_column = INTERNAL_ROW_OFFSET.to_string();
-                while columns.iter().any(|(name, _)| name == &ordering_column) {
-                    ordering_column.push('_');
-                }
-                columns.push((ordering_column.clone(), ROW_OFFSET.to_string()));
-                (ordering_column, true)
-            }
-            Select::Expr(columns) => {
-                let mut ordering_column = INTERNAL_ROW_OFFSET.to_string();
-                while columns.iter().any(|(name, _)| name == &ordering_column) {
-                    ordering_column.push('_');
-                }
-                columns.push((ordering_column.clone(), col(ROW_OFFSET)));
-                (ordering_column, true)
-            }
-        };
-
-        Ok((request, ordering_column, drop_ordering_column))
-    }
-
-    async fn prepare_offsets_lookup(
-        parent: &dyn BaseTable,
-        request: &QueryRequest,
-    ) -> Result<(QueryRequest, String, bool, usize, Option<usize>)> {
-        let (mut request, ordering_column, drop_ordering_column) =
-            Self::request_with_row_offset(parent, request).await?;
-        // The lookup operates on distinct physical rows. Pagination is a logical
-        // operation over occurrences and must be applied only after restoration.
-        let output_offset = request.offset.take().unwrap_or_default();
-        let output_limit = request.limit.take();
-
-        Ok((
-            request,
-            ordering_column,
-            drop_ordering_column,
-            output_offset,
-            output_limit,
-        ))
-    }
-
-    fn wrap_offsets_plan(
-        lookup: Arc<dyn ExecutionPlan>,
-        offsets: &[u64],
-        ordering_column: String,
-        drop_ordering_column: bool,
-        output_offset: usize,
-        output_limit: Option<usize>,
-        preserve_order: bool,
-    ) -> Result<Arc<dyn ExecutionPlan>> {
-        let lookup = if preserve_order {
-            Arc::new(CoalescePartitionsExec::new(lookup)) as Arc<dyn ExecutionPlan>
-        } else {
-            lookup
-        };
-        let restored: Arc<dyn ExecutionPlan> = Arc::new(TakeRestoreExec::try_new(
-            lookup,
-            offsets.to_vec(),
-            ordering_column,
-            drop_ordering_column,
-            preserve_order,
-        )?);
-
-        if output_offset > 0 || output_limit.is_some() {
-            Ok(Arc::new(GlobalLimitExec::new(
-                restored,
-                output_offset,
-                output_limit,
-            )))
-        } else {
-            Ok(restored)
-        }
-    }
-
-    fn wrap_offsets_explanation(
-        lookup: &str,
-        occurrence_count: usize,
-        output_offset: usize,
-        output_limit: Option<usize>,
-        preserve_order: bool,
-    ) -> String {
-        fn indent(plan: &str, spaces: usize) -> String {
-            let indentation = " ".repeat(spaces);
-            plan.lines()
-                .map(|line| format!("{indentation}{line}"))
-                .collect::<Vec<_>>()
-                .join("\n")
-        }
-
-        let restored = if preserve_order {
-            format!(
-                "TakeRestoreExec: occurrences={occurrence_count}\n  CoalescePartitionsExec\n{}",
-                indent(lookup, 4)
-            )
-        } else {
-            format!(
-                "TakeRestoreExec: occurrences={occurrence_count}\n{}",
-                indent(lookup, 2)
-            )
-        };
-
-        if output_offset > 0 || output_limit.is_some() {
-            let fetch = output_limit
-                .map(|limit| limit.to_string())
-                .unwrap_or_else(|| "None".to_string());
-            format!(
-                "GlobalLimitExec: skip={output_offset}, fetch={fetch}\n{}",
-                indent(&restored, 2)
-            )
-        } else {
-            restored
-        }
-    }
-
-    async fn create_offsets_plan(
-        &self,
-        offsets: &[u64],
-        options: QueryExecutionOptions,
-    ) -> Result<Arc<dyn ExecutionPlan>> {
-        create_take_offsets_plan(
-            self.parent.as_ref(),
-            &self.request,
-            offsets,
-            options,
-            self.preserve_order,
-        )
-        .await
-    }
-
    /// Convert the `TakeQuery` into a `QueryRequest`.
    pub fn into_request(self) -> QueryRequest {
        self.request
@@ -2126,63 +1622,6 @@ impl TakeQuery {
    }
 }

-pub(crate) async fn create_take_offsets_plan(
-    parent: &dyn BaseTable,
-    request: &QueryRequest,
-    offsets: &[u64],
-    options: QueryExecutionOptions,
-    preserve_order: bool,
-) -> Result<Arc<dyn ExecutionPlan>> {
-    let (request, ordering_column, drop_ordering_column, output_offset, output_limit) =
-        TakeQuery::prepare_offsets_lookup(parent, request).await?;
-    let lookup_options = if preserve_order {
-        options.without_output_batch_length_limit()
-    } else {
-        options
-    };
-    let lookup = parent
-        .create_plan(&AnyQuery::Query(request), lookup_options)
-        .await?;
-
-    TakeQuery::wrap_offsets_plan(
-        lookup,
-        offsets,
-        ordering_column,
-        drop_ordering_column,
-        output_offset,
-        output_limit,
-        preserve_order,
-    )
-}
-
-pub(crate) async fn explain_take_offsets_plan(
-    parent: &dyn BaseTable,
-    request: &QueryRequest,
-    offsets: &[u64],
-    verbose: bool,
-) -> Result<String> {
-    let (request, _, _, output_offset, output_limit) =
-        TakeQuery::prepare_offsets_lookup(parent, request).await?;
-    let lookup = parent
-        .explain_plan(&AnyQuery::Query(request), verbose)
-        .await?;
-    Ok(TakeQuery::wrap_offsets_explanation(
-        &lookup,
-        offsets.len(),
-        output_offset,
-        output_limit,
-        false,
-    ))
-}
-
-pub(crate) async fn prepare_take_offsets_request(
-    parent: &dyn BaseTable,
-    request: &QueryRequest,
-) -> Result<QueryRequest> {
-    let (request, _, _, _, _) = TakeQuery::prepare_offsets_lookup(parent, request).await?;
-    Ok(request)
-}
-
 impl HasQuery for TakeQuery {
    fn mut_query(&mut self) -> &mut QueryRequest {
        &mut self.request
@@ -2191,10 +1630,6 @@ impl HasQuery for TakeQuery {

 impl ExecutableQuery for TakeQuery {
    async fn create_plan(&self, options: QueryExecutionOptions) -> Result<Arc<dyn ExecutionPlan>> {
-        if let Some(offsets) = &self.offsets {
-            return self.create_offsets_plan(offsets, options).await;
-        }
-
        let req = AnyQuery::Query(self.request.clone());
        self.parent.clone().create_plan(&req, options).await
    }
@@ -2203,18 +1638,6 @@ impl ExecutableQuery for TakeQuery {
        &self,
        options: QueryExecutionOptions,
    ) -> Result<SendableRecordBatchStream> {
-        if self.offsets.is_some() {
-            let plan = self.create_plan(options.clone()).await?;
-            let inner = execute_plan(plan, Default::default())?;
-            let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
-            let inner = if let Some(timeout) = options.timeout {
-                TimeoutStream::new_boxed(inner, timeout)
-            } else {
-                inner
-            };
-            return Ok(DatasetRecordBatchStream::new(inner).into());
-        }
-
        let query = AnyQuery::Query(self.request.clone());
        Ok(SendableRecordBatchStream::from(
            self.parent.clone().query(&query, options).await?,
@@ -2222,51 +1645,11 @@ impl ExecutableQuery for TakeQuery {
    }

    async fn explain_plan(&self, verbose: bool) -> Result<String> {
-        if let Some(offsets) = &self.offsets {
-            let (request, _, _, output_offset, output_limit) =
-                Self::prepare_offsets_lookup(self.parent.as_ref(), &self.request).await?;
-            // Ask the backend to explain only the distinct-row lookup. This keeps
-            // remote explanation non-executing while still showing the client-side
-            // operators that create_plan and execution place above that lookup.
-            let lookup = self
-                .parent
-                .explain_plan(&AnyQuery::Query(request), verbose)
-                .await?;
-            return Ok(Self::wrap_offsets_explanation(
-                &lookup,
-                offsets.len(),
-                output_offset,
-                output_limit,
-                self.preserve_order,
-            ));
-        }
-
        let query = AnyQuery::Query(self.request.clone());
        self.parent.explain_plan(&query, verbose).await
    }

    async fn analyze_plan_with_options(&self, options: QueryExecutionOptions) -> Result<String> {
-        if self.offsets.is_some() {
-            if self.parent.analyze_plan_is_remote() {
-                let (request, _, _, _, _) =
-                    Self::prepare_offsets_lookup(self.parent.as_ref(), &self.request).await?;
-                // Remote analysis is owned by the service. The current wire
-                // request represents only the distinct-row lookup, so return
-                // the service report unchanged instead of fabricating metrics
-                // for client-side restoration operators.
-                return self
-                    .parent
-                    .analyze_plan(&AnyQuery::Query(request), options)
-                    .await;
-            }
-
-            let plan = self.create_plan(options).await?;
-            execute_plan(plan.clone(), Default::default())?
-                .try_collect::<Vec<_>>()
-                .await?;
-            return Ok(format_analyzed_plan(plan));
-        }
-
        let query = AnyQuery::Query(self.request.clone());
        self.parent.analyze_plan(&query, options).await
    }
@@ -2287,7 +1670,6 @@ mod tests {
        StringArray, cast::AsArray, types::Float32Type,
    };
    use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema};
-    use datafusion_physical_plan::display::DisplayableExecutionPlan;
    use futures::{StreamExt, TryStreamExt};
    use lance_testing::datagen::{BatchGenerator, IncrementingInt32, RandomVector};
    use rand::seq::IndexedRandom;
@@ -3542,218 +2924,6 @@ mod tests {
        assert_eq!(results[0].num_columns(), 1);
    }

-    #[tokio::test]
-    async fn test_take_offsets_preserves_duplicate_multiplicity() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-
-        let results = table
-            .take_offsets(vec![5, 1, 5, 17])
-            .select(Select::Columns(vec!["id".to_string()]))
-            .execute_with_options(QueryExecutionOptions {
-                max_batch_length: 2,
-                ..Default::default()
-            })
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-
-        assert_eq!(results.len(), 2);
-        assert!(results.iter().all(|batch| batch.num_columns() == 1));
-        let mut ids = results
-            .iter()
-            .flat_map(|batch| {
-                batch
-                    .column_by_name("id")
-                    .unwrap()
-                    .as_primitive::<Int32Type>()
-                    .values()
-                    .to_vec()
-            })
-            .collect::<Vec<_>>();
-        ids.sort_unstable();
-        assert_eq!(ids, vec![1, 5, 5, 17]);
-    }
-
-    #[tokio::test]
-    async fn test_take_offsets_plan_is_incremental() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-
-        let plan = table
-            .take_offsets(vec![5, 1, 17])
-            .create_plan(QueryExecutionOptions {
-                max_batch_length: 1,
-                ..Default::default()
-            })
-            .await
-            .unwrap();
-
-        assert_eq!(plan.properties().emission_type, EmissionType::Incremental);
-        let displayed = DisplayableExecutionPlan::new(plan.as_ref())
-            .indent(false)
-            .to_string();
-        assert!(displayed.contains("TakeRestoreExec"));
-        assert!(!displayed.contains("CoalescePartitionsExec"));
-    }
-
-    #[tokio::test]
-    async fn test_take_into_request_preserves_duplicate_multiplicity() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-        let request = table.take_offsets(vec![5, 5]).into_request();
-        assert_eq!(request.take_offsets, Some(vec![5, 5]));
-
-        let batches = table
-            .base_table()
-            .query(&AnyQuery::Query(request), QueryExecutionOptions::default())
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-
-        assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::<usize>(), 2);
-    }
-
-    #[test]
-    fn test_restore_take_batch_only_reorders_when_requested() {
-        let batch = RecordBatch::try_from_iter([
-            (
-                "id",
-                Arc::new(Int32Array::from(vec![17, 5, 1])) as Arc<dyn Array>,
-            ),
-            (
-                "_rowoffset",
-                Arc::new(UInt64Array::from(vec![17, 5, 1])) as Arc<dyn Array>,
-            ),
-        ])
-        .unwrap();
-
-        let restored =
-            restore_take_batch(batch.clone(), &[5, 1, 5, 17], "_rowoffset", true, false).unwrap();
-        assert_eq!(
-            restored
-                .column_by_name("id")
-                .unwrap()
-                .as_primitive::<Int32Type>()
-                .values(),
-            &[17, 5, 5, 1]
-        );
-
-        let ordered = restore_take_batch(batch, &[5, 1, 5, 17], "_rowoffset", true, true).unwrap();
-        assert_eq!(
-            ordered
-                .column_by_name("id")
-                .unwrap()
-                .as_primitive::<Int32Type>()
-                .values(),
-            &[5, 1, 5, 17]
-        );
-    }
-
-    #[tokio::test]
-    async fn test_take_offsets_applies_pagination_after_restoration() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-
-        let limited = table
-            .take_offsets(vec![0, 1, 0, 2])
-            .select(Select::Columns(vec!["id".to_string()]))
-            .limit(3)
-            .execute()
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-        let limited = concat_batches(&limited[0].schema(), &limited).unwrap();
-        assert_eq!(limited.num_rows(), 3);
-        assert!(
-            limited
-                .column_by_name("id")
-                .unwrap()
-                .as_primitive::<Int32Type>()
-                .values()
-                .iter()
-                .all(|id| [0, 1, 2].contains(id))
-        );
-
-        let offset = table
-            .take_offsets(vec![5, 1, 5, 17])
-            .select(Select::Columns(vec!["id".to_string()]))
-            .offset(1)
-            .execute()
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-        let offset = concat_batches(&offset[0].schema(), &offset).unwrap();
-        assert_eq!(offset.num_rows(), 3);
-        assert!(
-            offset
-                .column_by_name("id")
-                .unwrap()
-                .as_primitive::<Int32Type>()
-                .values()
-                .iter()
-                .all(|id| [1, 5, 17].contains(id))
-        );
-    }
-
-    #[tokio::test]
-    async fn test_take_offsets_create_plan_restores_occurrences() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-        let take = table
-            .take_offsets(vec![5, 1, 5, 17])
-            .select(Select::Columns(vec!["id".to_string()]));
-
-        let plan = take
-            .create_plan(QueryExecutionOptions::default())
-            .await
-            .unwrap();
-        assert_eq!(plan.schema().fields().len(), 1);
-        assert_eq!(plan.schema().field(0).name(), "id");
-        let planned = execute_plan(plan, Default::default())
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-        let planned = concat_batches(&planned[0].schema(), &planned).unwrap();
-        let mut ids = planned
-            .column_by_name("id")
-            .unwrap()
-            .as_primitive::<Int32Type>()
-            .values()
-            .to_vec();
-        ids.sort_unstable();
-        assert_eq!(ids, vec![1, 5, 5, 17]);
-    }
-
-    #[tokio::test]
-    async fn test_take_offsets_plan_introspection_shows_restoration() {
-        let tmp_dir = tempdir().unwrap();
-        let table = make_test_table(&tmp_dir).await;
-        let take = table
-            .take_offsets(vec![0, 1, 0, 2])
-            .select(Select::Columns(vec!["id".to_string()]))
-            .limit(3);
-
-        let explained = take.explain_plan(false).await.unwrap();
-        assert!(explained.contains("GlobalLimitExec"));
-        assert!(explained.contains("TakeRestoreExec"));
-        assert!(!explained.contains("CoalescePartitionsExec"));
-
-        let analyzed = take.analyze_plan().await.unwrap();
-        assert!(analyzed.contains("GlobalLimitExec"));
-        assert!(analyzed.contains("TakeRestoreExec"));
-        assert!(!analyzed.contains("CoalescePartitionsExec"));
-    }
-
    #[tokio::test]
    async fn test_take_row_ids() {
        let tmp_dir = tempdir().unwrap();
@@ -1,7 +1,7 @@
 // SPDX-License-Identifier: Apache-2.0
 // SPDX-FileCopyrightText: Copyright The LanceDB Authors

-use std::collections::{HashMap, HashSet};
+use std::collections::HashMap;
 use std::sync::Arc;

 use async_trait::async_trait;
@@ -533,19 +533,6 @@ struct RemoteListJobsResponse {
    page_token: Option<String>,
 }

-#[derive(serde::Deserialize)]
-struct RemoteListedFunctionVersion {
-    definition: FunctionVersion,
-}
-
-#[derive(serde::Deserialize)]
-struct RemoteListFunctionsResponse {
-    #[serde(default)]
-    functions: Vec<RemoteListedFunctionVersion>,
-    #[serde(default)]
-    page_token: Option<String>,
-}
-
 #[derive(serde::Deserialize)]
 struct RemoteDropFunctionResponse {
    dropped: bool,
@@ -601,43 +588,6 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
        response.json().await.err_to_http(request_id)
    }

-    async fn list_functions(&self) -> Result<Vec<FunctionVersion>> {
-        let mut functions = Vec::new();
-        let mut page_token: Option<String> = None;
-        let mut seen_page_tokens = HashSet::new();
-        loop {
-            let mut body = serde_json::json!({ "include_definition": true });
-            if let Some(token) = &page_token {
-                body["page_token"] = serde_json::Value::String(token.clone());
-            }
-            let req = self.client.post("/v1/functions/list").json(&body);
-            let (request_id, response) = self.client.send(req).await?;
-            let response = self.client.check_response(&request_id, response).await?;
-            let status = response.status();
-            let response: RemoteListFunctionsResponse =
-                response.json().await.err_to_http(request_id.clone())?;
-            functions.extend(
-                response
-                    .functions
-                    .into_iter()
-                    .map(|listed| listed.definition),
-            );
-            let Some(next_page_token) = response.page_token.filter(|token| !token.is_empty())
-            else {
-                break;
-            };
-            if !seen_page_tokens.insert(next_page_token.clone()) {
-                return Err(Error::Http {
-                    source: "Function listing response repeated a page_token".into(),
-                    request_id,
-                    status_code: Some(status),
-                });
-            }
-            page_token = Some(next_page_token);
-        }
-        Ok(functions)
-    }
-
    async fn drop_function(&self, name: &str, version: &str) -> Result<bool> {
        let req = self
            .client
@@ -2758,119 +2708,6 @@ mod tests {
        assert_eq!(version.version(), "fv_01K3EXACT");
    }

-    #[tokio::test]
-    async fn test_list_functions_requests_definitions_and_paginates() {
-        const VERSION: &str = include_str!(
-            "../../tests/fixtures/first_class_functions/v1/remote_function_version.canonical.json"
-        );
-        let version: serde_json::Value = serde_json::from_str(VERSION).unwrap();
-        let page = Arc::new(AtomicUsize::new(0));
-        let conn = Connection::new_with_handler(move |request| {
-            assert_eq!(request.method(), &reqwest::Method::POST);
-            assert_eq!(request.url().path(), "/v1/functions/list");
-            let body: serde_json::Value =
-                serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
-            assert_eq!(body["include_definition"], true);
-            match page.fetch_add(1, Ordering::SeqCst) {
-                0 => {
-                    assert!(body.get("page_token").is_none());
-                    http::Response::builder()
-                        .status(200)
-                        .body(r#"{"functions": [], "page_token": "next"}"#.to_string())
-                        .unwrap()
-                }
-                _ => {
-                    assert_eq!(body["page_token"], "next");
-                    http::Response::builder()
-                        .status(200)
-                        .body(
-                            serde_json::json!({
-                                "functions": [{
-                                    "name": "embed",
-                                    "version": "fv_01K3EXACT",
-                                    "definition": version.clone(),
-                                }],
-                            })
-                            .to_string(),
-                        )
-                        .unwrap()
-                }
-            }
-        });
-        let functions = conn.list_functions().await.unwrap();
-        assert_eq!(functions.len(), 1);
-        assert_eq!(functions[0].name(), "embed");
-        assert_eq!(functions[0].version(), "fv_01K3EXACT");
-    }
-
-    #[tokio::test]
-    async fn test_list_functions_stops_on_an_empty_page_token() {
-        let requests = Arc::new(AtomicUsize::new(0));
-        let seen = requests.clone();
-        let conn = Connection::new_with_handler(move |request| {
-            seen.fetch_add(1, Ordering::SeqCst);
-            let body: serde_json::Value =
-                serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
-            assert!(body.get("page_token").is_none());
-            http::Response::builder()
-                .status(200)
-                .body(r#"{"functions": [], "page_token": ""}"#)
-                .unwrap()
-        });
-
-        let functions = conn.list_functions().await.unwrap();
-        assert!(functions.is_empty());
-        assert_eq!(requests.load(Ordering::SeqCst), 1);
-    }
-
-    #[tokio::test]
-    async fn test_list_functions_rejects_a_page_token_cycle() {
-        let page = Arc::new(AtomicUsize::new(0));
-        let requests = page.clone();
-        let conn = Connection::new_with_handler(move |request| {
-            let body: serde_json::Value =
-                serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
-            let next_page_token = match page.fetch_add(1, Ordering::SeqCst) {
-                0 => {
-                    assert!(body.get("page_token").is_none());
-                    "one"
-                }
-                1 => {
-                    assert_eq!(body["page_token"], "one");
-                    "two"
-                }
-                2 => {
-                    assert_eq!(body["page_token"], "two");
-                    "one"
-                }
-                page => panic!("unexpected page: {page}"),
-            };
-            http::Response::builder()
-                .status(200)
-                .body(
-                    serde_json::json!({
-                        "functions": [],
-                        "page_token": next_page_token,
-                    })
-                    .to_string(),
-                )
-                .unwrap()
-        });
-
-        let error = conn.list_functions().await.unwrap_err();
-        assert!(
-            matches!(
-                &error,
-                Error::Http {
-                    status_code: Some(http::StatusCode::OK),
-                    ..
-                }
-            ),
-            "got {error:?}"
-        );
-        assert_eq!(requests.load(Ordering::SeqCst), 3);
-    }
-
    #[tokio::test]
    async fn test_drop_function_sends_exact_version_and_decodes_replay() {
        let conn = Connection::new_with_handler(|request| {
@@ -40,8 +40,8 @@ use crate::table::{
 use crate::table::{AnyQuery, Filter, Predicate, PreprocessingOutput, TableStatistics};
 use crate::utils::background_cache::BackgroundCache;
 use crate::utils::{
-    MaxBatchLengthStream, TimeoutStream, resolve_arrow_field_path, resolve_arrow_fts_field_path,
-    supported_btree_data_type, supported_vector_data_type,
+    resolve_arrow_field_path, resolve_arrow_fts_field_path, supported_btree_data_type,
+    supported_vector_data_type,
 };
 use crate::{DistanceType, Error};
 use crate::{
@@ -527,10 +527,6 @@ impl<S: HttpSend> RemoteTable<S> {
            "column": canonical_column
        });

-        if !index.replace {
-            body["replace"] = false.into();
-        }
-
        // Add name parameter if provided (for backwards compatibility, only include if Some)
        if let Some(ref name) = index.name {
            body["name"] = serde_json::Value::String(name.clone());
@@ -2026,9 +2022,6 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
    fn as_any(&self) -> &dyn std::any::Any {
        self
    }
-    fn analyze_plan_is_remote(&self) -> bool {
-        true
-    }
    fn name(&self) -> &str {
        &self.name
    }
@@ -2601,13 +2594,6 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        query: &AnyQuery,
        options: QueryExecutionOptions,
    ) -> Result<Arc<dyn ExecutionPlan>> {
-        if let AnyQuery::Query(request) = query
-            && let Some(offsets) = &request.take_offsets
-        {
-            return crate::query::create_take_offsets_plan(self, request, offsets, options, false)
-                .await;
-        }
-
        let streams = self.execute_query(query, &options).await?;
        if streams.len() == 1 {
            let stream = streams.into_iter().next().unwrap();
@@ -2626,27 +2612,6 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        query: &AnyQuery,
        options: QueryExecutionOptions,
    ) -> Result<DatasetRecordBatchStream> {
-        if let AnyQuery::Query(request) = query
-            && let Some(offsets) = &request.take_offsets
-        {
-            let plan = crate::query::create_take_offsets_plan(
-                self,
-                request,
-                offsets,
-                options.clone(),
-                false,
-            )
-            .await?;
-            let inner = execute_plan(plan, Default::default())?;
-            let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
-            let inner = if let Some(timeout) = options.timeout {
-                TimeoutStream::new_boxed(inner, timeout)
-            } else {
-                inner
-            };
-            return Ok(DatasetRecordBatchStream::new(inner));
-        }
-
        let streams = self.execute_query(query, &options).await?;

        if streams.len() == 1 {
@@ -2684,12 +2649,6 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
    }

    async fn explain_plan(&self, query: &AnyQuery, verbose: bool) -> Result<String> {
-        if let AnyQuery::Query(request) = query
-            && let Some(offsets) = &request.take_offsets
-        {
-            return crate::query::explain_take_offsets_plan(self, request, offsets, verbose).await;
-        }
-
        let base_request = self
            .client
            .post(&format!("/v1/table/{}/explain_plan/", self.identifier));
@@ -2742,17 +2701,6 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
        query: &AnyQuery,
        options: QueryExecutionOptions,
    ) -> Result<String> {
-        let prepared_query = if let AnyQuery::Query(request) = query
-            && request.take_offsets.is_some()
-        {
-            Some(AnyQuery::Query(
-                crate::query::prepare_take_offsets_request(self, request).await?,
-            ))
-        } else {
-            None
-        };
-        let query = prepared_query.as_ref().unwrap_or(query);
-
        let mut request = self
            .client
            .post(&format!("/v1/table/{}/analyze_plan/", self.identifier));
@@ -3742,7 +3690,7 @@ mod tests {
    };
    use arrow_schema::{DataType, Field, Schema};
    use chrono::{DateTime, Utc};
-    use futures::{StreamExt, TryFutureExt, TryStreamExt, future::BoxFuture};
+    use futures::{StreamExt, TryFutureExt, future::BoxFuture};
    use lance_index::scalar::inverted::{DocumentGranularity, query::MatchQuery};
    use lance_index::scalar::{FullTextSearchQuery, InvertedIndexParams};
    use reqwest::Body;
@@ -5663,114 +5611,6 @@ mod tests {
        assert_eq!(result, "analyzed plan");
    }

-    #[tokio::test]
-    async fn test_take_offsets_explain_plan_does_not_execute_query() {
-        let table = Table::new_with_handler("my_table", |request| {
-            assert_eq!(request.method(), "POST");
-            assert_eq!(request.url().path(), "/v1/table/my_table/explain_plan/");
-
-            http::Response::builder()
-                .status(200)
-                .body(r#""RemoteLookupExec""#)
-                .unwrap()
-        });
-
-        let explained = table
-            .take_offsets(vec![0, 1, 0, 2])
-            .select(crate::query::Select::columns(&["id"]))
-            .limit(3)
-            .explain_plan(false)
-            .await
-            .unwrap();
-
-        assert!(explained.contains("GlobalLimitExec"));
-        assert!(explained.contains("TakeRestoreExec"));
-        assert!(!explained.contains("CoalescePartitionsExec"));
-        assert!(explained.contains("RemoteLookupExec"));
-    }
-
-    #[tokio::test]
-    async fn test_converted_take_request_restores_remote_occurrences() {
-        let table = Table::new_with_handler("my_table", |request| {
-            assert_eq!(request.method(), "POST");
-            assert_eq!(request.url().path(), "/v1/table/my_table/query/");
-
-            let body: serde_json::Value =
-                serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
-            assert_eq!(body["columns"], json!(["id", "_rowoffset"]));
-
-            let data = RecordBatch::try_new(
-                Arc::new(Schema::new(vec![
-                    Field::new("id", DataType::Int32, false),
-                    Field::new("_rowoffset", DataType::UInt64, false),
-                ])),
-                vec![
-                    Arc::new(Int32Array::from(vec![5])),
-                    Arc::new(arrow_array::UInt64Array::from(vec![5])),
-                ],
-            )
-            .unwrap();
-            http::Response::builder()
-                .status(200)
-                .header(CONTENT_TYPE, ARROW_FILE_CONTENT_TYPE)
-                .body(write_ipc_file(&data))
-                .unwrap()
-        });
-
-        let request = table
-            .take_offsets(vec![5, 5])
-            .select(crate::query::Select::columns(&["id"]))
-            .into_request();
-        let batches = table
-            .base_table()
-            .query(&AnyQuery::Query(request), QueryExecutionOptions::default())
-            .await
-            .unwrap()
-            .try_collect::<Vec<_>>()
-            .await
-            .unwrap();
-
-        assert_eq!(batches.iter().map(RecordBatch::num_rows).sum::<usize>(), 2);
-        assert!(
-            batches
-                .iter()
-                .all(|batch| batch.schema().fields().len() == 1)
-        );
-    }
-
-    #[tokio::test]
-    async fn test_take_offsets_analyze_plan_delegates_to_remote() {
-        let table = Table::new_with_handler("my_table", |request| {
-            assert_eq!(request.method(), "POST");
-            assert_eq!(request.url().path(), "/v1/table/my_table/analyze_plan/");
-            assert_eq!(
-                request
-                    .url()
-                    .query_pairs()
-                    .find(|(key, _)| key == "distributed_metrics"),
-                Some(("distributed_metrics".into(), "per_worker".into()))
-            );
-
-            http::Response::builder()
-                .status(200)
-                .body(r#""Remote analyzed plan: worker metrics""#)
-                .unwrap()
-        });
-
-        let analyzed = table
-            .take_offsets(vec![0, 1, 0, 2])
-            .select(crate::query::Select::columns(&["id"]))
-            .limit(3)
-            .analyze_plan_with_options(QueryExecutionOptions {
-                analyze_plan_distributed_metrics: AnalyzePlanDistributedMetrics::PerWorker,
-                ..Default::default()
-            })
-            .await
-            .unwrap();
-
-        assert_eq!(analyzed, "Remote analyzed plan: worker metrics");
-    }
-
    #[tokio::test]
    async fn test_query_structured_fts() {
        let table =
@@ -6237,40 +6077,6 @@ mod tests {
        }
    }

-    #[tokio::test]
-    async fn test_create_index_forwards_replace_false_on_existing_route() {
-        let table = Table::new_with_handler("my_table", move |request| {
-            assert_eq!(request.method(), "POST");
-            match request.url().path() {
-                "/v1/table/my_table/describe/" => {
-                    let schema = Schema::new(vec![Field::new("a", DataType::Int32, false)]);
-                    http::Response::builder()
-                        .status(200)
-                        .body(describe_response(&schema))
-                        .unwrap()
-                }
-                "/v1/table/my_table/create_index/" => {
-                    let body = request.body().unwrap().as_bytes().unwrap();
-                    let body: serde_json::Value = serde_json::from_slice(body).unwrap();
-                    assert_eq!(body["replace"], json!(false));
-
-                    http::Response::builder()
-                        .status(200)
-                        .body("{}".to_string())
-                        .unwrap()
-                }
-                path => panic!("Unexpected path: {}", path),
-            }
-        });
-
-        table
-            .create_index(&["a"], Index::BTree(Default::default()))
-            .replace(false)
-            .execute()
-            .await
-            .unwrap();
-    }
-
    #[tokio::test]
    async fn test_create_index_returns_job() {
        let describe_calls = std::sync::Arc::new(std::sync::atomic::AtomicUsize::new(0));
@@ -595,14 +595,6 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync {
        query: &AnyQuery,
        options: QueryExecutionOptions,
    ) -> Result<String>;
-    /// Whether [`BaseTable::analyze_plan`] is provided by a remote service.
-    ///
-    /// Client-side query wrappers use this to preserve backend metrics and
-    /// distributed-analysis options instead of replacing them with a local plan.
-    #[doc(hidden)]
-    fn analyze_plan_is_remote(&self) -> bool {
-        false
-    }

    /// Add new records to the table.
    async fn add(&self, add: AddDataBuilder) -> Result<AddResult>;
@@ -1660,9 +1652,9 @@ impl Table {
    /// Offsets are useful for sampling as the set of all valid offsets is easily
    /// known in advance to be [0, len(table)).
    ///
-    /// No guarantees are made regarding the order in which results are returned.
-    /// Repeated offsets produce repeated rows, which makes this method suitable for
-    /// sampling with replacement.
+    /// No guarantees are made regarding the order in which results are returned.  If you
+    /// desire an output order that matches the order of the given offsets, you will need
+    /// to add the row offset column to the output and align it yourself.
    ///
    /// Parameters
    /// ----------
@@ -589,13 +589,16 @@ fn canonical_input_arrow_type(field: &JsonArrowField) -> Result<String> {
        .and_then(|metadata| metadata.get(ARROW_EXT_NAME_KEY))
        .map(String::as_str)
        == Some(BLOB_V2_EXT_NAME);
-    if is_blob_v2 || field.r#type.fields.is_some() {
+    if is_blob_v2 {
        let arrow_field = lance_namespace::schema::convert_json_arrow_field(field)
            .map_err(|e| invalid_function(format!("invalid Function input field: {e}")))?;
-        validate_function_blob_nesting(&arrow_field, false)?;
-        if is_blob_v2 {
-            return Ok(FUNCTION_BLOB_V2_TYPE.to_string());
+        if !has_supported_blob_v2_layout(&arrow_field) {
+            return Err(invalid_function(format!(
+                "Function input '{}' has an invalid Blob v2 storage layout",
+                arrow_field.name()
+            )));
        }
+        return Ok(FUNCTION_BLOB_V2_TYPE.to_string());
    }
    if field.r#type.fields.is_none() && field.r#type.length.is_none() {
        Ok(field.r#type.r#type.clone())
@@ -614,34 +617,6 @@ fn has_supported_blob_v2_layout(field: &ArrowField) -> bool {
        )
 }

-fn validate_function_blob_nesting(field: &ArrowField, inside_collection: bool) -> Result<()> {
-    if field.is_blob_v2() {
-        if inside_collection {
-            return Err(invalid_function(format!(
-                "Function field '{}' nests Blob v2 under a collection, which Function signatures do not support",
-                field.name()
-            )));
-        }
-        if !has_supported_blob_v2_layout(field) {
-            return Err(invalid_function(format!(
-                "Function field '{}' has an invalid Blob v2 storage layout",
-                field.name()
-            )));
-        }
-        return Ok(());
-    }
-    match field.data_type() {
-        DataType::Struct(fields) => fields
-            .iter()
-            .try_for_each(|field| validate_function_blob_nesting(field, inside_collection)),
-        DataType::List(field)
-        | DataType::LargeList(field)
-        | DataType::FixedSizeList(field, _)
-        | DataType::Map(field, _) => validate_function_blob_nesting(field, true),
-        _ => Ok(()),
-    }
-}
-
 /// `fixed_size_list<item, size>` -> (`item`, `size`); the comma must sit outside
 /// any nested `<...>`.
 fn split_fixed_size_list(raw: &str) -> Option<(&str, i32)> {
@@ -722,22 +697,21 @@ fn parse_output_arrow_type(raw: &str) -> Result<JsonArrowDataType> {
 }

 fn function_output_field(name: &str, nullable: bool, raw: &str) -> Result<JsonArrowField> {
-    let field = if raw == FUNCTION_BLOB_V2_TYPE {
-        lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![crate::blob(
-            name, nullable,
-        )]))
+    if raw == FUNCTION_BLOB_V2_TYPE {
+        return lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![
+            crate::blob(name, nullable),
+        ]))
        .map_err(|e| invalid_function(format!("could not encode Blob v2 output field: {e}")))?
        .fields
        .into_iter()
        .next()
-        .ok_or_else(|| invalid_function("Blob v2 output field is missing"))?
-    } else {
-        JsonArrowField::new(name.to_string(), nullable, parse_output_arrow_type(raw)?)
-    };
-    let arrow_field = lance_namespace::schema::convert_json_arrow_field(&field)
-        .map_err(|e| invalid_function(format!("invalid Function output field: {e}")))?;
-    validate_function_blob_nesting(&arrow_field, false)?;
-    Ok(field)
+        .ok_or_else(|| invalid_function("Blob v2 output field is missing"));
+    }
+    Ok(JsonArrowField::new(
+        name.to_string(),
+        nullable,
+        parse_output_arrow_type(raw)?,
+    ))
 }

 fn function_output_field_matches(expected: &ArrowField, actual: &ArrowField) -> bool {
@@ -2745,28 +2719,6 @@ mod tests {
        .unwrap()
    }

-    fn exact_arrow_type(field: ArrowField) -> String {
-        let json =
-            lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![field])).unwrap();
-        serde_json::to_string(json.fields[0].r#type.as_ref()).unwrap()
-    }
-
-    fn single_input_application(path: &str) -> FunctionApplication {
-        FunctionApplication::from_json(
-            &serde_json::json!({
-                "function": {"name": "inspect", "version": "fv_nested_blob"},
-                "inputs": [{
-                    "parameter": "value",
-                    "kind": "column",
-                    "value": {"path": path}
-                }],
-                "output": {"kind": "scalar", "arrow_type": "int64", "nullable": false}
-            })
-            .to_string(),
-        )
-        .unwrap()
-    }
-
    fn binding_from_plan(plan: &FunctionDeclarationPlan) -> FunctionBinding {
        let inputs = plan
            .input_bindings
@@ -3206,128 +3158,6 @@ mod tests {
        assert_eq!(fields[1].data_type(), &DataType::Int32);
    }

-    #[test]
-    fn test_struct_blob_input_preserves_exact_schema_and_nullability() {
-        let payload = ArrowField::new(
-            "payload",
-            DataType::Struct(Fields::from(vec![
-                ArrowField::new("mime_type", DataType::Utf8, false),
-                ArrowField::new(
-                    "nested",
-                    DataType::Struct(Fields::from(vec![crate::blob("image", true)])),
-                    true,
-                ),
-            ])),
-            true,
-        );
-        let plan = plan_function_application(
-            &ArrowSchema::new(vec![payload]),
-            &single_input_application("payload"),
-            Some("size"),
-        )
-        .unwrap();
-
-        let declared: JsonArrowDataType =
-            serde_json::from_str(&plan.input_bindings[0].arrow_type).unwrap();
-        let DataType::Struct(fields) =
-            lance_namespace::schema::convert_json_arrow_type(&declared).unwrap()
-        else {
-            panic!("expected a struct Function input")
-        };
-        assert!(fields[1].is_nullable());
-        let DataType::Struct(nested) = fields[1].data_type() else {
-            panic!("expected a recursive struct Function input")
-        };
-        assert!(nested[0].is_blob_v2());
-        assert!(nested[0].is_nullable());
-
-        let exact = lance_namespace::schema::convert_json_arrow_schema(&plan.input_schema).unwrap();
-        let DataType::Struct(fields) = exact.field(0).data_type() else {
-            panic!("expected exact input schema to retain the struct")
-        };
-        let DataType::Struct(nested) = fields[1].data_type() else {
-            panic!("expected exact input schema to retain the nested struct")
-        };
-        assert!(nested[0].is_blob_v2());
-    }
-
-    #[test]
-    fn test_recursive_blob_result_plans_one_whole_named_struct_column() {
-        let details_type = exact_arrow_type(ArrowField::new(
-            "details",
-            DataType::Struct(Fields::from(vec![crate::blob("image", true)])),
-            false,
-        ));
-        let application = FunctionApplication::from_json(
-            &serde_json::json!({
-                "function": {"name": "inspect", "version": "fv_nested_blob"},
-                "inputs": [],
-                "output": {
-                    "kind": "named_struct",
-                    "fields": [
-                        {"name": "mime_type", "arrow_type": "utf8", "nullable": false},
-                        {"name": "details", "arrow_type": details_type, "nullable": false}
-                    ]
-                }
-            })
-            .to_string(),
-        )
-        .unwrap();
-        let plan = plan_function_application(&ArrowSchema::empty(), &application, Some("payload"))
-            .unwrap();
-
-        assert_eq!(plan.outputs.len(), 1);
-        assert_eq!(plan.outputs[0].result_field, WHOLE_RESULT_FIELD);
-        let schema =
-            lance_namespace::schema::convert_json_arrow_schema(&plan.output_schema).unwrap();
-        assert_eq!(schema.field(0).name(), "payload");
-        let DataType::Struct(fields) = schema.field(0).data_type() else {
-            panic!("whole named result must be one struct column")
-        };
-        assert_eq!(
-            fields.iter().map(|field| field.name()).collect::<Vec<_>>(),
-            ["mime_type", "details"]
-        );
-        let DataType::Struct(details) = fields[1].data_type() else {
-            panic!("expected recursive result struct")
-        };
-        assert!(details[0].is_blob_v2());
-        assert!(!fields.iter().any(|field| field.name() == "payload"));
-    }
-
-    #[test]
-    fn test_blob_children_under_collections_are_rejected() {
-        let collections = vec![
-            DataType::List(Arc::new(crate::blob("item", false))),
-            DataType::LargeList(Arc::new(crate::blob("item", false))),
-            DataType::FixedSizeList(Arc::new(crate::blob("item", false)), 2),
-            DataType::Map(
-                Arc::new(ArrowField::new(
-                    "entries",
-                    DataType::Struct(Fields::from(vec![
-                        ArrowField::new("key", DataType::Utf8, false),
-                        crate::blob("value", false),
-                    ])),
-                    false,
-                )),
-                false,
-            ),
-        ];
-        for data_type in collections {
-            let schema = ArrowSchema::new(vec![ArrowField::new("value", data_type, false)]);
-            let error = plan_function_application(
-                &schema,
-                &single_input_application("value"),
-                Some("size"),
-            )
-            .unwrap_err();
-            assert!(
-                error.to_string().contains("under a collection"),
-                "got: {error}"
-            );
-        }
-    }
-
    #[test]
    fn test_blob_whole_struct_binding_accepts_full_logical_layout() {
        let input = crate::blob("image", false);
@@ -110,7 +110,7 @@ fn requires_local_namespace_execution(query: &AnyQuery) -> bool {
    // pushing these down would silently ignore the user's setting. For use_lsm that
    // is worse than a tuning miss: MemWAL read routing lives only in `create_plan`,
    // so a pushed-down query would return stale base-only data with no error.
-    if query.base().use_lsm.is_some() || query.base().take_offsets.is_some() {
+    if query.base().use_lsm.is_some() {
        return true;
    }
    matches!(
@@ -154,13 +154,6 @@ pub async fn create_plan(
    options: QueryExecutionOptions,
 ) -> Result<Arc<dyn ExecutionPlan>> {
    let query = query.canonicalized()?;
-    if let AnyQuery::Query(request) = &query
-        && let Some(offsets) = &request.take_offsets
-    {
-        return crate::query::create_take_offsets_plan(table, request, offsets, options, false)
-            .await;
-    }
-
    let query = match query {
        AnyQuery::VectorQuery(query) => query,
        AnyQuery::Query(query) => VectorQueryRequest::from_plain_query(query),