rebase

fix(python): make sure explain_plan works with FTS queries (#2466 )
## Summary Fixes issue #2465 where FTS explain plans only showed basic `LanceScan` instead of detailed execution plans with FTS query details, limits, and offsets. ## Root Cause The `FTSQuery::explain_plan()` and `analyze_plan()` methods were missing the `.full_text_search()` call before calling explain/analyze plan, causing them to operate on the base query without FTS context. ## Changes - **Fixed** `explain_plan()` and `analyze_plan()` in `src/query.rs` to call `.full_text_search()` - **Added comprehensive test coverage** for FTS explain plans with limits, offsets, and filters - **Updated existing tests** to expect correct behavior instead of buggy behavior ## Before/After **Before (broken):** ``` LanceScan: uri=..., projection=[...], row_id=false, row_addr=false, ordered=true ``` **After (fixed):** ``` ProjectionExec: expr=[id@2 as id, text@3 as text, _score@1 as _score] Take: columns="_rowid, _score, (id), (text)" CoalesceBatchesExec: target_batch_size=1024 GlobalLimitExec: skip=2, fetch=4 MatchQuery: query=test ``` ## Test Plan - [x] All new FTS explain plan tests pass - [x] Existing tests continue to pass - [x] FTS queries now show proper execution plans with MatchQuery, limits, filters Closes #2465 🤖 Generated with [Claude Code](https://claude.ai/code)  ## Summary by CodeRabbit * **Tests** * Added new test cases to verify explain plan output for full-text search, vector queries with pagination, and queries with filters. * **Bug Fixes** * Improved the accuracy of explain plan and analysis output for full-text search queries, ensuring the correct query details are reflected. * **Refactor** * Enhanced the formatting and hierarchical structure of execution plans for hybrid queries, providing clearer and more detailed plan representations.  --------- Co-authored-by: Claude <noreply@anthropic.com>
2025-12-24 22:09:58 +00:00 · 2025-06-27 06:36:12 -07:00 · 2025-06-26 23:35:14 -07:00 · 2025-06-20 05:47:06 +00:00 · 2025-06-20 05:46:27 +00:00 · 2025-06-20 05:46:05 +00:00
34 changed files with 331 additions and 236 deletions
--- a/.bumpversion.toml
+++ b/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.20.1-beta.1"
+current_version = "0.21.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/.github/workflows/npm-publish.yml
+++ b/.github/workflows/npm-publish.yml
@@ -550,6 +550,9 @@ jobs:
          bash ci/update_lockfiles.sh
      - name: Push new commit
        uses: ad-m/github-push-action@master
+        with:
+          github_token: ${{ secrets.LANCEDB_RELEASE_TOKEN }}
+          branch: main
      - name: Notify Slack Action
        uses: ravsamhq/notify-slack-action@2.3.0
        if: ${{ always() }}
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -1852,7 +1852,7 @@ dependencies = [
 "futures",
 "itertools 0.14.0",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "parking_lot",
 "rand 0.8.5",
 "regex",
@@ -1884,7 +1884,7 @@ dependencies = [
 "futures",
 "itertools 0.14.0",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "parking_lot",
 "tokio",
 ]
@@ -1908,7 +1908,7 @@ dependencies = [
 "datafusion-session",
 "futures",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "tokio",
 ]

@@ -1927,7 +1927,7 @@ dependencies = [
 "indexmap 2.9.0",
 "libc",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "paste",
 "sqlparser 0.55.0",
 "tokio",
@@ -1967,7 +1967,7 @@ dependencies = [
 "glob",
 "itertools 0.14.0",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "rand 0.8.5",
 "tokio",
 "url",
@@ -1993,7 +1993,7 @@ dependencies = [
 "datafusion-physical-plan",
 "datafusion-session",
 "futures",
- "object_store 0.12.2",
+ "object_store",
 "regex",
 "tokio",
 ]
@@ -2018,7 +2018,7 @@ dependencies = [
 "datafusion-physical-plan",
 "datafusion-session",
 "futures",
- "object_store 0.12.2",
+ "object_store",
 "serde_json",
 "tokio",
 ]
@@ -2041,7 +2041,7 @@ dependencies = [
 "datafusion-expr",
 "futures",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "parking_lot",
 "rand 0.8.5",
 "tempfile",
@@ -2340,7 +2340,7 @@ dependencies = [
 "futures",
 "itertools 0.14.0",
 "log",
- "object_store 0.12.2",
+ "object_store",
 "parking_lot",
 "tokio",
 ]
@@ -2813,8 +2813,7 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"

 [[package]]
 name = "fsst"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "rand 0.8.5",
 ]
@@ -3906,8 +3905,7 @@ dependencies = [

 [[package]]
 name = "lance"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -3950,7 +3948,7 @@ dependencies = [
 "lazy_static",
 "log",
 "moka",
- "object_store 0.11.2",
+ "object_store",
 "permutation",
 "pin-project",
 "prost",
@@ -3970,8 +3968,7 @@ dependencies = [

 [[package]]
 name = "lance-arrow"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -3988,8 +3985,7 @@ dependencies = [

 [[package]]
 name = "lance-core"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow-array",
 "arrow-buffer",
@@ -4009,7 +4005,7 @@ dependencies = [
 "mock_instant",
 "moka",
 "num_cpus",
- "object_store 0.11.2",
+ "object_store",
 "pin-project",
 "prost",
 "rand 0.8.5",
@@ -4025,8 +4021,7 @@ dependencies = [

 [[package]]
 name = "lance-datafusion"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4055,8 +4050,7 @@ dependencies = [

 [[package]]
 name = "lance-datagen"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4071,8 +4065,7 @@ dependencies = [

 [[package]]
 name = "lance-encoding"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrayref",
 "arrow",
@@ -4106,13 +4099,13 @@ dependencies = [
 "snafu",
 "tokio",
 "tracing",
+ "xxhash-rust",
 "zstd",
 ]

 [[package]]
 name = "lance-file"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow-arith",
 "arrow-array",
@@ -4133,7 +4126,7 @@ dependencies = [
 "lance-io",
 "log",
 "num-traits",
- "object_store 0.11.2",
+ "object_store",
 "prost",
 "prost-build",
 "prost-types",
@@ -4146,8 +4139,7 @@ dependencies = [

 [[package]]
 name = "lance-index"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4184,7 +4176,7 @@ dependencies = [
 "log",
 "moka",
 "num-traits",
- "object_store 0.11.2",
+ "object_store",
 "prost",
 "prost-build",
 "rand 0.8.5",
@@ -4202,8 +4194,7 @@ dependencies = [

 [[package]]
 name = "lance-io"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-arith",
@@ -4227,7 +4218,7 @@ dependencies = [
 "lance-core",
 "lazy_static",
 "log",
- "object_store 0.11.2",
+ "object_store",
 "path_abs",
 "pin-project",
 "prost",
@@ -4242,8 +4233,7 @@ dependencies = [

 [[package]]
 name = "lance-linalg"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow-array",
 "arrow-ord",
@@ -4266,8 +4256,7 @@ dependencies = [

 [[package]]
 name = "lance-table"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4288,7 +4277,7 @@ dependencies = [
 "lance-io",
 "lazy_static",
 "log",
- "object_store 0.11.2",
+ "object_store",
 "prost",
 "prost-build",
 "prost-types",
@@ -4306,8 +4295,7 @@ dependencies = [

 [[package]]
 name = "lance-testing"
-version = "0.30.0"
-source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
+version = "0.31.0"
 dependencies = [
 "arrow-array",
 "arrow-schema",
@@ -4318,7 +4306,7 @@ dependencies = [

 [[package]]
 name = "lancedb"
-version = "0.20.1-beta.1"
+version = "0.21.0"
 dependencies = [
 "arrow",
 "arrow-array",
@@ -4365,7 +4353,7 @@ dependencies = [
 "log",
 "moka",
 "num-traits",
- "object_store 0.11.2",
+ "object_store",
 "pin-project",
 "polars",
 "polars-arrow",
@@ -4405,7 +4393,7 @@ dependencies = [

 [[package]]
 name = "lancedb-node"
-version = "0.20.1-beta.1"
+version = "0.21.0"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4422,7 +4410,7 @@ dependencies = [
 "lancedb",
 "lzma-sys",
 "neon",
- "object_store 0.11.2",
+ "object_store",
 "once_cell",
 "snafu",
 "tokio",
@@ -4430,7 +4418,7 @@ dependencies = [

 [[package]]
 name = "lancedb-nodejs"
-version = "0.20.1-beta.1"
+version = "0.21.0"
 dependencies = [
 "arrow-array",
 "arrow-ipc",
@@ -4450,7 +4438,7 @@ dependencies = [

 [[package]]
 name = "lancedb-python"
-version = "0.23.1-beta.1"
+version = "0.24.0"
 dependencies = [
 "arrow",
 "env_logger",
@@ -5159,38 +5147,6 @@ dependencies = [
 "memchr",
 ]

-[[package]]
-name = "object_store"
-version = "0.11.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3cfccb68961a56facde1163f9319e0d15743352344e7808a11795fb99698dcaf"
-dependencies = [
- "async-trait",
- "base64 0.22.1",
- "bytes",
- "chrono",
- "futures",
- "httparse",
- "humantime",
- "hyper 1.6.0",
- "itertools 0.13.0",
- "md-5",
- "parking_lot",
- "percent-encoding",
- "quick-xml",
- "rand 0.8.5",
- "reqwest",
- "ring",
- "rustls-pemfile 2.2.0",
- "serde",
- "serde_json",
- "snafu",
- "tokio",
- "tracing",
- "url",
- "walkdir",
-]
-
 [[package]]
 name = "object_store"
 version = "0.12.2"
@@ -5198,14 +5154,28 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "7781f96d79ed0f961a7021424ab01840efbda64ae7a505aaea195efc91eaaec4"
 dependencies = [
 "async-trait",
+ "base64 0.22.1",
 "bytes",
 "chrono",
+ "form_urlencoded",
 "futures",
 "http 1.3.1",
+ "http-body-util",
+ "httparse",
 "humantime",
+ "hyper 1.6.0",
 "itertools 0.14.0",
+ "md-5",
 "parking_lot",
 "percent-encoding",
+ "quick-xml",
+ "rand 0.9.1",
+ "reqwest",
+ "ring",
+ "rustls-pemfile 2.2.0",
+ "serde",
+ "serde_json",
+ "serde_urlencoded",
 "thiserror 2.0.12",
 "tokio",
 "tracing",
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -21,14 +21,14 @@ categories = ["database-implementations"]
 rust-version = "1.78.0"

 [workspace.dependencies]
-lance = { "version" = "=0.30.0", "features" = ["dynamodb"], tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-io = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-index = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-linalg = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-table = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-testing = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-datafusion = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
-lance-encoding = { version = "=0.30.0", tag = "v0.30.0-beta.1", git="https://github.com/lancedb/lance.git" }
+lance = { path = "../lance/rust/lance", "features" = ["dynamodb"] }
+lance-io = { path = "../lance/rust/lance-io" }
+lance-index = { path = "../lance/rust/lance-index" }
+lance-linalg = { path = "../lance/rust/lance-linalg" }
+lance-table = { path = "../lance/rust/lance-table" }
+lance-testing = { path = "../lance/rust/lance-testing" }
+lance-datafusion = { path = "../lance/rust/lance-datafusion" }
+lance-encoding = { path = "../lance/rust/lance-encoding" }
 # Note that this one does not include pyarrow
 arrow = { version = "55.1", optional = false }
 arrow-array = "55.1"
@@ -52,7 +52,7 @@ half = { "version" = "=2.5.0", default-features = false, features = [
 futures = "0"
 log = "0.4"
 moka = { version = "0.12", features = ["future"] }
-object_store = "0.11.0"
+object_store = "0.12.0"
 pin-project = "1.0.7"
 snafu = "0.8"
 url = "2"
--- a/java/core/pom.xml
+++ b/java/core/pom.xml
@@ -8,7 +8,7 @@
    <parent>
        <groupId>com.lancedb</groupId>
        <artifactId>lancedb-parent</artifactId>
-        <version>0.20.1-beta.1</version>
+        <version>0.21.0-final.0</version>
        <relativePath>../pom.xml</relativePath>
    </parent>

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

    <groupId>com.lancedb</groupId>
    <artifactId>lancedb-parent</artifactId>
-    <version>0.20.1-beta.1</version>
+    <version>0.21.0-final.0</version>
    <packaging>pom</packaging>

    <name>LanceDB Parent</name>
--- a/node/package-lock.json
+++ b/node/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "vectordb",
-  "version": "0.20.1-beta.1",
+  "version": "0.21.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "vectordb",
-      "version": "0.20.1-beta.1",
+      "version": "0.21.0",
      "cpu": [
        "x64",
        "arm64"
@@ -52,11 +52,11 @@
        "uuid": "^9.0.0"
      },
      "optionalDependencies": {
-        "@lancedb/vectordb-darwin-arm64": "0.20.1-beta.1",
-        "@lancedb/vectordb-darwin-x64": "0.20.1-beta.1",
-        "@lancedb/vectordb-linux-arm64-gnu": "0.20.1-beta.1",
-        "@lancedb/vectordb-linux-x64-gnu": "0.20.1-beta.1",
-        "@lancedb/vectordb-win32-x64-msvc": "0.20.1-beta.1"
+        "@lancedb/vectordb-darwin-arm64": "0.21.0",
+        "@lancedb/vectordb-darwin-x64": "0.21.0",
+        "@lancedb/vectordb-linux-arm64-gnu": "0.21.0",
+        "@lancedb/vectordb-linux-x64-gnu": "0.21.0",
+        "@lancedb/vectordb-win32-x64-msvc": "0.21.0"
      },
      "peerDependencies": {
        "@apache-arrow/ts": "^14.0.2",
@@ -326,66 +326,6 @@
        "@jridgewell/sourcemap-codec": "^1.4.10"
      }
    },
-    "node_modules/@lancedb/vectordb-darwin-arm64": {
-      "version": "0.20.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.20.1-beta.1.tgz",
-      "integrity": "sha512-DPD8gwFQz5aENYYbTFS/l3YX/rqzS6Kj2B4IZERccVFULQsdR5YwtaAfFwTMp7NSnsjWKwJAknohiMZlJr4njQ==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "darwin"
-      ]
-    },
-    "node_modules/@lancedb/vectordb-darwin-x64": {
-      "version": "0.20.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.20.1-beta.1.tgz",
-      "integrity": "sha512-lTPtlRSTC08UgQW5Bv8WYhdbogAgUJ+9ejg+UE+fwP9gEsgEKXL/SHBm+9gmAlTo7LbrxJjg0CtCde/mW68UTw==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "darwin"
-      ]
-    },
-    "node_modules/@lancedb/vectordb-linux-arm64-gnu": {
-      "version": "0.20.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.20.1-beta.1.tgz",
-      "integrity": "sha512-w/3O9FvwQiGegYsM21yZ0FezfOFVsW7HttYwwPzZMZaCpK3/i+LvZVSqwO4qXHHJBtHgKevonINyvVlg5487aQ==",
-      "cpu": [
-        "arm64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ]
-    },
-    "node_modules/@lancedb/vectordb-linux-x64-gnu": {
-      "version": "0.20.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.20.1-beta.1.tgz",
-      "integrity": "sha512-rq7Q6Lq9kJmBcgwplYQVJmRbyeP+xPVmXyyQfAO3IjekqeSsyjj1HoCZYqZIfBZyN5ELiSvIJB0731aKf9pr1A==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "linux"
-      ]
-    },
-    "node_modules/@lancedb/vectordb-win32-x64-msvc": {
-      "version": "0.20.1-beta.1",
-      "resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.20.1-beta.1.tgz",
-      "integrity": "sha512-kHra0SEXeMKdgqi5h0igsqHcBr73hKBhEVJBa8VTv1DUv6Jvazwl4B4ueqllcyD4k3vvOTb2XzZomm7dhQ9QnA==",
-      "cpu": [
-        "x64"
-      ],
-      "optional": true,
-      "os": [
-        "win32"
-      ]
-    },
    "node_modules/@neon-rs/cli": {
      "version": "0.0.160",
      "resolved": "https://registry.npmjs.org/@neon-rs/cli/-/cli-0.0.160.tgz",
--- a/node/package.json
+++ b/node/package.json
@@ -1,6 +1,6 @@
 {
  "name": "vectordb",
-  "version": "0.20.1-beta.1",
+  "version": "0.21.0",
  "description": " Serverless, low-latency vector database for AI applications",
  "private": false,
  "main": "dist/index.js",
@@ -89,10 +89,10 @@
    }
  },
  "optionalDependencies": {
-    "@lancedb/vectordb-darwin-x64": "0.20.1-beta.1",
-    "@lancedb/vectordb-darwin-arm64": "0.20.1-beta.1",
-    "@lancedb/vectordb-linux-x64-gnu": "0.20.1-beta.1",
-    "@lancedb/vectordb-linux-arm64-gnu": "0.20.1-beta.1",
-    "@lancedb/vectordb-win32-x64-msvc": "0.20.1-beta.1"
+    "@lancedb/vectordb-darwin-x64": "0.21.0",
+    "@lancedb/vectordb-darwin-arm64": "0.21.0",
+    "@lancedb/vectordb-linux-x64-gnu": "0.21.0",
+    "@lancedb/vectordb-linux-arm64-gnu": "0.21.0",
+    "@lancedb/vectordb-win32-x64-msvc": "0.21.0"
  }
 }
--- a/nodejs/Cargo.toml
+++ b/nodejs/Cargo.toml
@@ -1,7 +1,7 @@
 [package]
 name = "lancedb-nodejs"
 edition.workspace = true
-version = "0.20.1-beta.1"
+version = "0.21.0"
 license.workspace = true
 description.workspace = true
 repository.workspace = true
--- a/nodejs/test/table.test.ts
+++ b/nodejs/test/table.test.ts
@@ -1650,13 +1650,25 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      expect(resultSet.has("fob")).toBe(true);
      expect(resultSet.has("fo")).toBe(true);
      expect(resultSet.has("food")).toBe(true);
+
+      const prefixResults = await table
+        .search(
+          new MatchQuery("foo", "text", { fuzziness: 3, prefixLength: 3 }),
+        )
+        .toArray();
+      expect(prefixResults.length).toBe(2);
+      const resultSet2 = new Set(prefixResults.map((r) => r.text));
+      expect(resultSet2.has("foo")).toBe(true);
+      expect(resultSet2.has("food")).toBe(true);
    });

    test("full text search boolean query", async () => {
      const db = await connect(tmpDir.name);
      const data = [
-        { text: "hello world", vector: [0.1, 0.2, 0.3] },
-        { text: "goodbye world", vector: [0.4, 0.5, 0.6] },
+        { text: "The cat and dog are playing" },
+        { text: "The cat is sleeping" },
+        { text: "The dog is barking" },
+        { text: "The dog chases the cat" },
      ];
      const table = await db.createTable("test", data);
      await table.createIndex("text", {
@@ -1666,22 +1678,32 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
      const shouldResults = await table
        .search(
          new BooleanQuery([
-            [Occur.Should, new MatchQuery("hello", "text")],
-            [Occur.Should, new MatchQuery("goodbye", "text")],
+            [Occur.Should, new MatchQuery("cat", "text")],
+            [Occur.Should, new MatchQuery("dog", "text")],
          ]),
        )
        .toArray();
-      expect(shouldResults.length).toBe(2);
+      expect(shouldResults.length).toBe(4);

      const mustResults = await table
        .search(
          new BooleanQuery([
-            [Occur.Must, new MatchQuery("hello", "text")],
-            [Occur.Must, new MatchQuery("world", "text")],
+            [Occur.Must, new MatchQuery("cat", "text")],
+            [Occur.Must, new MatchQuery("dog", "text")],
          ]),
        )
        .toArray();
-      expect(mustResults.length).toBe(1);
+      expect(mustResults.length).toBe(2);
+
+      const mustNotResults = await table
+        .search(
+          new BooleanQuery([
+            [Occur.Must, new MatchQuery("cat", "text")],
+            [Occur.MustNot, new MatchQuery("dog", "text")],
+          ]),
+        )
+        .toArray();
+      expect(mustNotResults.length).toBe(1);
    });

    test.each([
--- a/nodejs/lancedb/query.ts
+++ b/nodejs/lancedb/query.ts
@@ -812,10 +812,12 @@ export enum Operator {
 *
 * - `Must`: The term must be present in the document.
 * - `Should`: The term should contribute to the document score, but is not required.
+ * - `MustNot`: The term must not be present in the document.
 */
 export enum Occur {
-  Must = "MUST",
  Should = "SHOULD",
+  Must = "MUST",
+  MustNot = "MUST_NOT",
 }

 /**
@@ -856,6 +858,7 @@ export class MatchQuery implements FullTextQuery {
   *   - `fuzziness`: The fuzziness level for the query (default is 0).
   *   - `maxExpansions`: The maximum number of terms to consider for fuzzy matching (default is 50).
   *   - `operator`: The logical operator to use for combining terms in the query (default is "OR").
+   *   - `prefixLength`: The number of beginning characters being unchanged for fuzzy matching.
   */
  constructor(
    query: string,
@@ -865,6 +868,7 @@ export class MatchQuery implements FullTextQuery {
      fuzziness?: number;
      maxExpansions?: number;
      operator?: Operator;
+      prefixLength?: number;
    },
  ) {
    let fuzziness = options?.fuzziness;
@@ -878,6 +882,7 @@ export class MatchQuery implements FullTextQuery {
      fuzziness,
      options?.maxExpansions ?? 50,
      options?.operator ?? Operator.Or,
+      options?.prefixLength ?? 0,
    );
  }

--- a/nodejs/npm/darwin-arm64/package.json
+++ b/nodejs/npm/darwin-arm64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-arm64",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["darwin"],
 	"cpu": ["arm64"],
 	"main": "lancedb.darwin-arm64.node",
--- a/nodejs/npm/darwin-x64/package.json
+++ b/nodejs/npm/darwin-x64/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-darwin-x64",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["darwin"],
 	"cpu": ["x64"],
 	"main": "lancedb.darwin-x64.node",
--- a/nodejs/npm/linux-arm64-gnu/package.json
+++ b/nodejs/npm/linux-arm64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-gnu",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-gnu.node",
--- a/nodejs/npm/linux-arm64-musl/package.json
+++ b/nodejs/npm/linux-arm64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-arm64-musl",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["linux"],
 	"cpu": ["arm64"],
 	"main": "lancedb.linux-arm64-musl.node",
--- a/nodejs/npm/linux-x64-gnu/package.json
+++ b/nodejs/npm/linux-x64-gnu/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-gnu",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-gnu.node",
--- a/nodejs/npm/linux-x64-musl/package.json
+++ b/nodejs/npm/linux-x64-musl/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-linux-x64-musl",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["linux"],
 	"cpu": ["x64"],
 	"main": "lancedb.linux-x64-musl.node",
--- a/nodejs/npm/win32-arm64-msvc/package.json
+++ b/nodejs/npm/win32-arm64-msvc/package.json
@@ -1,6 +1,6 @@
 {
  "name": "@lancedb/lancedb-win32-arm64-msvc",
-  "version": "0.20.1-beta.1",
+  "version": "0.21.0",
  "os": [
    "win32"
  ],
--- a/nodejs/npm/win32-x64-msvc/package.json
+++ b/nodejs/npm/win32-x64-msvc/package.json
@@ -1,6 +1,6 @@
 {
 	"name": "@lancedb/lancedb-win32-x64-msvc",
-	"version": "0.20.1-beta.1",
+	"version": "0.21.0",
 	"os": ["win32"],
 	"cpu": ["x64"],
 	"main": "lancedb.win32-x64-msvc.node",
--- a/nodejs/package-lock.json
+++ b/nodejs/package-lock.json
@@ -1,12 +1,12 @@
 {
  "name": "@lancedb/lancedb",
-  "version": "0.20.1-beta.1",
+  "version": "0.21.0",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "@lancedb/lancedb",
-      "version": "0.20.1-beta.1",
+      "version": "0.21.0",
      "cpu": [
        "x64",
        "arm64"
--- a/nodejs/package.json
+++ b/nodejs/package.json
@@ -11,7 +11,7 @@
    "ann"
  ],
  "private": false,
-  "version": "0.20.1-beta.1",
+  "version": "0.21.0",
  "main": "dist/index.js",
  "exports": {
    ".": "./dist/index.js",
--- a/nodejs/src/query.rs
+++ b/nodejs/src/query.rs
@@ -335,6 +335,7 @@ impl JsFullTextQuery {
        fuzziness: Option<u32>,
        max_expansions: u32,
        operator: String,
+        prefix_length: u32,
    ) -> napi::Result<Self> {
        Ok(Self {
            inner: MatchQuery::new(query)
@@ -347,6 +348,7 @@ impl JsFullTextQuery {
                        napi::Error::from_reason(format!("Invalid operator: {}", e))
                    })?,
                )
+                .with_prefix_length(prefix_length)
                .into(),
        })
    }
--- a/python/.bumpversion.toml
+++ b/python/.bumpversion.toml
@@ -1,5 +1,5 @@
 [tool.bumpversion]
-current_version = "0.23.1-beta.2"
+current_version = "0.24.0"
 parse = """(?x)
    (?P<major>0|[1-9]\\d*)\\.
    (?P<minor>0|[1-9]\\d*)\\.
--- a/python/Cargo.toml
+++ b/python/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-python"
-version = "0.23.1-beta.2"
+version = "0.24.0"
 edition.workspace = true
 description = "Python bindings for LanceDB"
 license.workspace = true
--- a/python/python/lancedb/query.py
+++ b/python/python/lancedb/query.py
@@ -101,8 +101,9 @@ class FullTextOperator(str, Enum):


 class Occur(str, Enum):
-    MUST = "MUST"
    SHOULD = "SHOULD"
+    MUST = "MUST"
+    MUST_NOT = "MUST_NOT"


@pydantic.dataclasses.dataclass
@@ -181,6 +182,9 @@ class MatchQuery(FullTextQuery):
        Can be either `AND` or `OR`.
        If `AND`, all terms in the query must match.
        If `OR`, at least one term in the query must match.
+    prefix_length : int, optional
+        The number of beginning characters being unchanged for fuzzy matching.
+        This is useful to achieve prefix matching.
    """

    query: str
@@ -189,6 +193,7 @@ class MatchQuery(FullTextQuery):
    fuzziness: int = pydantic.Field(0, kw_only=True)
    max_expansions: int = pydantic.Field(50, kw_only=True)
    operator: FullTextOperator = pydantic.Field(FullTextOperator.OR, kw_only=True)
+    prefix_length: int = pydantic.Field(0, kw_only=True)

    def query_type(self) -> FullTextQueryType:
        return FullTextQueryType.MATCH
@@ -1446,10 +1451,13 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):

        query = self._query
        if self._phrase_query:
-            raise NotImplementedError(
-                "Phrase query is not yet supported in Lance FTS. "
-                "Use tantivy-based index instead for now."
-            )
+            if isinstance(query, str):
+                if not query.startswith('"') or not query.endswith('"'):
+                    query = f'"{query}"'
+            elif isinstance(query, FullTextQuery) and not isinstance(
+                query, PhraseQuery
+            ):
+                raise TypeError("Please use PhraseQuery for phrase queries.")
        query = self.to_query_object()
        results = self._table._execute_query(query, timeout=timeout)
        results = results.read_all()
@@ -3034,15 +3042,21 @@ class AsyncHybridQuery(AsyncQueryBase, AsyncVectorQueryBase):
        >>> asyncio.run(doctest_example()) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE
        Vector Search Plan:
        ProjectionExec: expr=[vector@0 as vector, text@3 as text, _distance@2 as _distance]
-            Take: columns="vector, _rowid, _distance, (text)"
-                CoalesceBatchesExec: target_batch_size=1024
-                GlobalLimitExec: skip=0, fetch=10
-                    FilterExec: _distance@2 IS NOT NULL
-                    SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
-                        KNNVectorDistance: metric=l2
-                        LanceScan: uri=..., projection=[vector], row_id=true, row_addr=false, ordered=false
+          Take: columns="vector, _rowid, _distance, (text)"
+            CoalesceBatchesExec: target_batch_size=1024
+              GlobalLimitExec: skip=0, fetch=10
+                FilterExec: _distance@2 IS NOT NULL
+                  SortExec: TopK(fetch=10), expr=[_distance@2 ASC NULLS LAST], preserve_partitioning=[false]
+                    KNNVectorDistance: metric=l2
+                      LanceScan: uri=..., projection=[vector], row_id=true, row_addr=false, ordered=false
+        <BLANKLINE>
        FTS Search Plan:
-        LanceScan: uri=..., projection=[vector, text], row_id=false, row_addr=false, ordered=true
+        ProjectionExec: expr=[vector@2 as vector, text@3 as text, _score@1 as _score]
+          Take: columns="_rowid, _score, (vector), (text)"
+            CoalesceBatchesExec: target_batch_size=1024
+              GlobalLimitExec: skip=0, fetch=10
+                MatchQuery: query=hello
+        <BLANKLINE>

        Parameters
        ----------
--- a/python/python/lancedb/table.py
+++ b/python/python/lancedb/table.py
@@ -827,7 +827,7 @@ class Table(ABC):
        ordering_field_names: Optional[Union[str, List[str]]] = None,
        replace: bool = False,
        writer_heap_size: Optional[int] = 1024 * 1024 * 1024,
-        use_tantivy: bool = True,
+        use_tantivy: bool = False,
        tokenizer_name: Optional[str] = None,
        with_position: bool = False,
        # tokenizer configs:
@@ -864,7 +864,7 @@ class Table(ABC):
            The tokenizer to use for the index. Can be "raw", "default" or the 2 letter
            language code followed by "_stem". So for english it would be "en_stem".
            For available languages see: https://docs.rs/tantivy/latest/tantivy/tokenizer/enum.Language.html
-        use_tantivy: bool, default True
+        use_tantivy: bool, default False
            If True, use the legacy full-text search implementation based on tantivy.
            If False, use the new full-text search implementation based on lance-index.
        with_position: bool, default False
@@ -1970,7 +1970,7 @@ class LanceTable(Table):
        ordering_field_names: Optional[Union[str, List[str]]] = None,
        replace: bool = False,
        writer_heap_size: Optional[int] = 1024 * 1024 * 1024,
-        use_tantivy: bool = True,
+        use_tantivy: bool = False,
        tokenizer_name: Optional[str] = None,
        with_position: bool = False,
        # tokenizer configs:
--- a/python/python/tests/docs/test_search.py
+++ b/python/python/tests/docs/test_search.py
@@ -6,7 +6,7 @@ import lancedb

 # --8<-- [end:import-lancedb]
 # --8<-- [start:import-numpy]
-from lancedb.query import BoostQuery, MatchQuery
+from lancedb.query import BooleanQuery, BoostQuery, MatchQuery, Occur
 import numpy as np
 import pyarrow as pa

@@ -191,6 +191,15 @@ def test_fts_fuzzy_query():
        "food",  # 1 insertion
    }

+    results = table.search(
+        MatchQuery("foo", "text", fuzziness=1, prefix_length=3)
+    ).to_pandas()
+    assert len(results) == 2
+    assert set(results["text"].to_list()) == {
+        "foo",
+        "food",
+    }
+

@pytest.mark.skipif(
    os.name == "nt", reason="Need to fix https://github.com/lancedb/lance/issues/3905"
@@ -240,6 +249,60 @@ def test_fts_boost_query():
    )


+@pytest.mark.skipif(
+    os.name == "nt", reason="Need to fix https://github.com/lancedb/lance/issues/3905"
+)
+def test_fts_boolean_query(tmp_path):
+    uri = tmp_path / "boolean-example"
+    db = lancedb.connect(uri)
+    table = db.create_table(
+        "my_table_fts_boolean",
+        data=[
+            {"text": "The cat and dog are playing"},
+            {"text": "The cat is sleeping"},
+            {"text": "The dog is barking"},
+            {"text": "The dog chases the cat"},
+        ],
+        mode="overwrite",
+    )
+    table.create_fts_index("text", use_tantivy=False, replace=True)
+
+    # SHOULD
+    results = table.search(
+        MatchQuery("cat", "text") | MatchQuery("dog", "text")
+    ).to_pandas()
+    assert len(results) == 4
+    assert set(results["text"].to_list()) == {
+        "The cat and dog are playing",
+        "The cat is sleeping",
+        "The dog is barking",
+        "The dog chases the cat",
+    }
+    # MUST
+    results = table.search(
+        MatchQuery("cat", "text") & MatchQuery("dog", "text")
+    ).to_pandas()
+    assert len(results) == 2
+    assert set(results["text"].to_list()) == {
+        "The cat and dog are playing",
+        "The dog chases the cat",
+    }
+
+    # MUST NOT
+    results = table.search(
+        BooleanQuery(
+            [
+                (Occur.MUST, MatchQuery("cat", "text")),
+                (Occur.MUST_NOT, MatchQuery("dog", "text")),
+            ]
+        )
+    ).to_pandas()
+    assert len(results) == 1
+    assert set(results["text"].to_list()) == {
+        "The cat is sleeping",
+    }
+
+
@pytest.mark.skipif(
    os.name == "nt", reason="Need to fix https://github.com/lancedb/lance/issues/3905"
 )
--- a/python/python/tests/test_query.py
+++ b/python/python/tests/test_query.py
@@ -775,6 +775,82 @@ async def test_explain_plan_async(table_async: AsyncTable):
    assert "KNN" in plan


+@pytest.mark.asyncio
+async def test_explain_plan_fts(table_async: AsyncTable):
+    """Test explain plan for FTS queries"""
+    # Create FTS index
+    from lancedb.index import FTS
+
+    await table_async.create_index("text", config=FTS())
+
+    # Test pure FTS query
+    query = await table_async.search("dog", query_type="fts", fts_columns="text")
+    plan = await query.explain_plan()
+    # Should show FTS details (issue #2465 is now fixed)
+    assert "MatchQuery: query=dog" in plan
+    assert "GlobalLimitExec" in plan  # Default limit
+
+    # Test FTS query with limit
+    query_with_limit = await table_async.search(
+        "dog", query_type="fts", fts_columns="text"
+    )
+    plan_with_limit = await query_with_limit.limit(1).explain_plan()
+    assert "MatchQuery: query=dog" in plan_with_limit
+    assert "GlobalLimitExec: skip=0, fetch=1" in plan_with_limit
+
+    # Test FTS query with offset and limit
+    query_with_offset = await table_async.search(
+        "dog", query_type="fts", fts_columns="text"
+    )
+    plan_with_offset = await query_with_offset.offset(1).limit(1).explain_plan()
+    assert "MatchQuery: query=dog" in plan_with_offset
+    assert "GlobalLimitExec: skip=1, fetch=1" in plan_with_offset
+
+
+@pytest.mark.asyncio
+async def test_explain_plan_vector_with_limit_offset(table_async: AsyncTable):
+    """Test explain plan for vector queries with limit and offset"""
+    # Test vector query with limit
+    plan_with_limit = await (
+        table_async.query().nearest_to(pa.array([1, 2])).limit(1).explain_plan()
+    )
+    assert "KNN" in plan_with_limit
+    assert "GlobalLimitExec: skip=0, fetch=1" in plan_with_limit
+
+    # Test vector query with offset and limit
+    plan_with_offset = await (
+        table_async.query()
+        .nearest_to(pa.array([1, 2]))
+        .offset(1)
+        .limit(1)
+        .explain_plan()
+    )
+    assert "KNN" in plan_with_offset
+    assert "GlobalLimitExec: skip=1, fetch=1" in plan_with_offset
+
+
+@pytest.mark.asyncio
+async def test_explain_plan_with_filters(table_async: AsyncTable):
+    """Test explain plan for queries with filters"""
+    # Test vector query with filter
+    plan_with_filter = await (
+        table_async.query().nearest_to(pa.array([1, 2])).where("id = 1").explain_plan()
+    )
+    assert "KNN" in plan_with_filter
+    assert "FilterExec" in plan_with_filter
+
+    # Test FTS query with filter
+    from lancedb.index import FTS
+
+    await table_async.create_index("text", config=FTS())
+    query_fts_filter = await table_async.search(
+        "dog", query_type="fts", fts_columns="text"
+    )
+    plan_fts_filter = await query_fts_filter.where("id = 1").explain_plan()
+    assert "MatchQuery: query=dog" in plan_fts_filter
+    assert "FilterExec: id@" in plan_fts_filter  # Should show filter details
+
+
@pytest.mark.asyncio
 async def test_query_camelcase_async(tmp_path):
    db = await lancedb.connect_async(tmp_path)
--- a/python/python/tests/test_s3.py
+++ b/python/python/tests/test_s3.py
@@ -245,7 +245,7 @@ def test_s3_dynamodb_sync(s3_bucket: str, commit_table: str, monkeypatch):
        NotImplementedError,
        match="Full-text search is only supported on the local filesystem",
    ):
-        table.create_fts_index("x")
+        table.create_fts_index("x", use_tantivy=True)

    # make sure list tables still works
    assert db.table_names() == ["test_ddb_sync"]
--- a/python/src/query.rs
+++ b/python/src/query.rs
@@ -50,6 +50,7 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
                let fuzziness = ob.getattr("fuzziness")?.extract()?;
                let max_expansions = ob.getattr("max_expansions")?.extract()?;
                let operator = ob.getattr("operator")?.extract::<String>()?;
+                let prefix_length = ob.getattr("prefix_length")?.extract()?;

                Ok(PyLanceDB(
                    MatchQuery::new(query)
@@ -60,6 +61,7 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
                        .with_operator(Operator::try_from(operator.as_str()).map_err(|e| {
                            PyValueError::new_err(format!("Invalid operator: {}", e))
                        })?)
+                        .with_prefix_length(prefix_length)
                        .into(),
                ))
            }
@@ -139,7 +141,8 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
                kwargs.set_item("boost", query.boost)?;
                kwargs.set_item("fuzziness", query.fuzziness)?;
                kwargs.set_item("max_expansions", query.max_expansions)?;
-                kwargs.set_item("operator", operator_to_str(query.operator))?;
+                kwargs.set_item::<_, &str>("operator", query.operator.into())?;
+                kwargs.set_item("prefix_length", query.prefix_length)?;
                namespace
                    .getattr(intern!(py, "MatchQuery"))?
                    .call((query.terms, query.column.unwrap()), Some(&kwargs))
@@ -169,19 +172,25 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
                    .unzip();
                let kwargs = PyDict::new(py);
                kwargs.set_item("boosts", boosts)?;
-                kwargs.set_item("operator", operator_to_str(first.operator))?;
+                kwargs.set_item::<_, &str>("operator", first.operator.into())?;
                namespace
                    .getattr(intern!(py, "MultiMatchQuery"))?
                    .call((first.terms.clone(), columns), Some(&kwargs))
            }
            FtsQuery::Boolean(query) => {
-                let mut queries = Vec::with_capacity(query.must.len() + query.should.len());
-                for q in query.must {
-                    queries.push((occur_to_str(Occur::Must), PyLanceDB(q).into_pyobject(py)?));
-                }
+                let mut queries: Vec<(&str, Bound<'py, PyAny>)> = Vec::with_capacity(
+                    query.should.len() + query.must.len() + query.must_not.len(),
+                );
                for q in query.should {
-                    queries.push((occur_to_str(Occur::Should), PyLanceDB(q).into_pyobject(py)?));
+                    queries.push((Occur::Should.into(), PyLanceDB(q).into_pyobject(py)?));
                }
+                for q in query.must {
+                    queries.push((Occur::Must.into(), PyLanceDB(q).into_pyobject(py)?));
+                }
+                for q in query.must_not {
+                    queries.push((Occur::MustNot.into(), PyLanceDB(q).into_pyobject(py)?));
+                }
+
                namespace
                    .getattr(intern!(py, "BooleanQuery"))?
                    .call1((queries,))
@@ -190,21 +199,6 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
    }
 }

-fn operator_to_str(op: Operator) -> &'static str {
-    match op {
-        Operator::And => "AND",
-        Operator::Or => "OR",
-    }
-}
-
-fn occur_to_str(occur: Occur) -> &'static str {
-    match occur {
-        Occur::Must => "MUST",
-        Occur::Should => "SHOULD",
-        Occur::MustNot => "MUST NOT",
-    }
-}
-
 // Python representation of query vector(s)
 #[derive(Clone)]
 pub struct PyQueryVectors(Vec<Arc<dyn Array>>);
@@ -569,7 +563,10 @@ impl FTSQuery {
    }

    pub fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
+        let inner = self_
+            .inner
+            .clone()
+            .full_text_search(self_.fts_query.clone());
        future_into_py(self_.py(), async move {
            inner
                .explain_plan(verbose)
@@ -579,7 +576,10 @@ impl FTSQuery {
    }

    pub fn analyze_plan(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
-        let inner = self_.inner.clone();
+        let inner = self_
+            .inner
+            .clone()
+            .full_text_search(self_.fts_query.clone());
        future_into_py(self_.py(), async move {
            inner
                .analyze_plan()
--- a/rust/ffi/node/Cargo.toml
+++ b/rust/ffi/node/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb-node"
-version = "0.20.1-beta.1"
+version = "0.21.0"
 description = "Serverless, low-latency vector database for AI applications"
 license.workspace = true
 edition.workspace = true
--- a/rust/lancedb/Cargo.toml
+++ b/rust/lancedb/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "lancedb"
-version = "0.20.1-beta.1"
+version = "0.21.0"
 edition.workspace = true
 description = "LanceDB: A serverless, low-latency vector database for AI applications"
 license.workspace = true
--- a/rust/lancedb/src/io/object_store.rs
+++ b/rust/lancedb/src/io/object_store.rs
@@ -107,7 +107,7 @@ impl ObjectStore for MirroringObjectStore {
        self.primary.delete(location).await
    }

-    fn list(&self, prefix: Option<&Path>) -> BoxStream<'_, Result<ObjectMeta>> {
+    fn list(&self, prefix: Option<&Path>) -> BoxStream<'static, Result<ObjectMeta>> {
        self.primary.list(prefix)
    }

--- a/rust/lancedb/src/io/object_store/io_tracking.rs
+++ b/rust/lancedb/src/io/object_store/io_tracking.rs
@@ -133,7 +133,7 @@ impl ObjectStore for IoTrackingStore {
        result
    }

-    async fn get_range(&self, location: &Path, range: std::ops::Range<usize>) -> OSResult<Bytes> {
+    async fn get_range(&self, location: &Path, range: std::ops::Range<u64>) -> OSResult<Bytes> {
        let result = self.target.get_range(location, range).await;
        if let Ok(result) = &result {
            self.record_read(result.len() as u64);
@@ -144,7 +144,7 @@ impl ObjectStore for IoTrackingStore {
    async fn get_ranges(
        &self,
        location: &Path,
-        ranges: &[std::ops::Range<usize>],
+        ranges: &[std::ops::Range<u64>],
    ) -> OSResult<Vec<Bytes>> {
        let result = self.target.get_ranges(location, ranges).await;
        if let Ok(result) = &result {
@@ -170,7 +170,7 @@ impl ObjectStore for IoTrackingStore {
        self.target.delete_stream(locations)
    }

-    fn list(&self, prefix: Option<&Path>) -> BoxStream<'_, OSResult<ObjectMeta>> {
+    fn list(&self, prefix: Option<&Path>) -> BoxStream<'static, OSResult<ObjectMeta>> {
        self.record_read(0);
        self.target.list(prefix)
    }
@@ -179,7 +179,7 @@ impl ObjectStore for IoTrackingStore {
        &self,
        prefix: Option<&Path>,
        offset: &Path,
-    ) -> BoxStream<'_, OSResult<ObjectMeta>> {
+    ) -> BoxStream<'static, OSResult<ObjectMeta>> {
        self.record_read(0);
        self.target.list_with_offset(prefix, offset)
    }
Author	SHA1	Message	Date
Will Jones	5a732bbf39	rebase	2025-06-27 06:36:12 -07:00
Will Jones	4beb2d2877	fix(python): make sure `explain_plan` works with FTS queries (#2466 ) ## Summary Fixes issue #2465 where FTS explain plans only showed basic `LanceScan` instead of detailed execution plans with FTS query details, limits, and offsets. ## Root Cause The `FTSQuery::explain_plan()` and `analyze_plan()` methods were missing the `.full_text_search()` call before calling explain/analyze plan, causing them to operate on the base query without FTS context. ## Changes - Fixed `explain_plan()` and `analyze_plan()` in `src/query.rs` to call `.full_text_search()` - Added comprehensive test coverage for FTS explain plans with limits, offsets, and filters - Updated existing tests to expect correct behavior instead of buggy behavior ## Before/After Before (broken): ``` LanceScan: uri=..., projection=[...], row_id=false, row_addr=false, ordered=true ``` After (fixed): ``` ProjectionExec: expr=[id@2 as id, text@3 as text, _score@1 as _score] Take: columns="_rowid, _score, (id), (text)" CoalesceBatchesExec: target_batch_size=1024 GlobalLimitExec: skip=2, fetch=4 MatchQuery: query=test ``` ## Test Plan - [x] All new FTS explain plan tests pass - [x] Existing tests continue to pass - [x] FTS queries now show proper execution plans with MatchQuery, limits, filters Closes #2465 🤖 Generated with [Claude Code](https://claude.ai/code) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * Tests * Added new test cases to verify explain plan output for full-text search, vector queries with pagination, and queries with filters. * Bug Fixes * Improved the accuracy of explain plan and analysis output for full-text search queries, ensuring the correct query details are reflected. * Refactor * Enhanced the formatting and hierarchical structure of execution plans for hybrid queries, providing clearer and more detailed plan representations. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Claude <noreply@anthropic.com>	2025-06-26 23:35:14 -07:00
Lance Release	a00b8595d1	Bump version: 0.21.0-beta.0 → 0.21.0	2025-06-20 05:47:06 +00:00
Lance Release	9c8314b4fd	Bump version: 0.20.1-beta.2 → 0.21.0-beta.0	2025-06-20 05:46:27 +00:00
Lance Release	c625b6f2b2	Bump version: 0.24.0-beta.0 → 0.24.0	2025-06-20 05:46:05 +00:00
Lance Release	bec8fe6547	Bump version: 0.23.1-beta.2 → 0.24.0-beta.0	2025-06-20 05:46:04 +00:00
BubbleCal	dc1150c011	chore: upgrade lance to 0.30.0 (#2451 ) lance [release details](https://github.com/lancedb/lance/releases/tag/v0.30.0) <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - Chores - Updated dependency specifications to use exact version numbers instead of referencing a git repository and tag. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Signed-off-by: BubbleCal <bubble-cal@outlook.com>	2025-06-20 11:27:20 +08:00
Will Jones	afaefc6264	ci: fix package lock again (#2449 ) We are able to push commits over here: `cb7293e073/.github/workflows/make-release-commit.yml (L88-L95)` So I think it's safe to assume this will work. <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - Chores - Updated workflow configuration to improve authentication and branch targeting for automated release processes. <!-- end of auto-generated comment: release notes by coderabbit.ai -->	2025-06-19 08:51:48 -07:00
BubbleCal	cb70ff8cee	feat!: switch default FTS to native lance FTS (#2428 ) This switches the default FTS to native lance FTS for Python sync table API, the other APIs have switched to native implementation already <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - New Features - The default behavior for creating a full-text search index now uses the new implementation rather than the legacy one. - Bug Fixes - Improved handling and error messages for phrase queries in full-text search. <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Signed-off-by: BubbleCal <bubble-cal@outlook.com>	2025-06-19 10:38:34 +08:00
BubbleCal	cbb5a841b1	feat: support prefix matching and must_not clause (#2441 )	2025-06-19 10:32:32 +08:00
Lance Release	c72f6770fd	Bump version: 0.20.1-beta.1 → 0.20.1-beta.2	2025-06-18 23:33:57 +00:00