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Author SHA1 Message Date
Lance Release
dacd13edb4 Bump version: 0.20.1-beta.1 → 0.20.1-beta.2 2025-06-18 23:33:26 +00:00
34 changed files with 229 additions and 324 deletions

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.21.0"
current_version = "0.20.1-beta.2"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -550,9 +550,6 @@ 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() }}

116
Cargo.lock generated
View File

@@ -1852,7 +1852,7 @@ dependencies = [
"futures",
"itertools 0.14.0",
"log",
"object_store",
"object_store 0.12.2",
"parking_lot",
"rand 0.8.5",
"regex",
@@ -1884,7 +1884,7 @@ dependencies = [
"futures",
"itertools 0.14.0",
"log",
"object_store",
"object_store 0.12.2",
"parking_lot",
"tokio",
]
@@ -1908,7 +1908,7 @@ dependencies = [
"datafusion-session",
"futures",
"log",
"object_store",
"object_store 0.12.2",
"tokio",
]
@@ -1927,7 +1927,7 @@ dependencies = [
"indexmap 2.9.0",
"libc",
"log",
"object_store",
"object_store 0.12.2",
"paste",
"sqlparser 0.55.0",
"tokio",
@@ -1967,7 +1967,7 @@ dependencies = [
"glob",
"itertools 0.14.0",
"log",
"object_store",
"object_store 0.12.2",
"rand 0.8.5",
"tokio",
"url",
@@ -1993,7 +1993,7 @@ dependencies = [
"datafusion-physical-plan",
"datafusion-session",
"futures",
"object_store",
"object_store 0.12.2",
"regex",
"tokio",
]
@@ -2018,7 +2018,7 @@ dependencies = [
"datafusion-physical-plan",
"datafusion-session",
"futures",
"object_store",
"object_store 0.12.2",
"serde_json",
"tokio",
]
@@ -2041,7 +2041,7 @@ dependencies = [
"datafusion-expr",
"futures",
"log",
"object_store",
"object_store 0.12.2",
"parking_lot",
"rand 0.8.5",
"tempfile",
@@ -2340,7 +2340,7 @@ dependencies = [
"futures",
"itertools 0.14.0",
"log",
"object_store",
"object_store 0.12.2",
"parking_lot",
"tokio",
]
@@ -2813,7 +2813,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c"
[[package]]
name = "fsst"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"rand 0.8.5",
]
@@ -3905,7 +3906,8 @@ dependencies = [
[[package]]
name = "lance"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-arith",
@@ -3948,7 +3950,7 @@ dependencies = [
"lazy_static",
"log",
"moka",
"object_store",
"object_store 0.11.2",
"permutation",
"pin-project",
"prost",
@@ -3968,7 +3970,8 @@ dependencies = [
[[package]]
name = "lance-arrow"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -3985,7 +3988,8 @@ dependencies = [
[[package]]
name = "lance-core"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow-array",
"arrow-buffer",
@@ -4005,7 +4009,7 @@ dependencies = [
"mock_instant",
"moka",
"num_cpus",
"object_store",
"object_store 0.11.2",
"pin-project",
"prost",
"rand 0.8.5",
@@ -4021,7 +4025,8 @@ dependencies = [
[[package]]
name = "lance-datafusion"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-array",
@@ -4050,7 +4055,8 @@ dependencies = [
[[package]]
name = "lance-datagen"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-array",
@@ -4065,7 +4071,8 @@ dependencies = [
[[package]]
name = "lance-encoding"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrayref",
"arrow",
@@ -4099,13 +4106,13 @@ dependencies = [
"snafu",
"tokio",
"tracing",
"xxhash-rust",
"zstd",
]
[[package]]
name = "lance-file"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow-arith",
"arrow-array",
@@ -4126,7 +4133,7 @@ dependencies = [
"lance-io",
"log",
"num-traits",
"object_store",
"object_store 0.11.2",
"prost",
"prost-build",
"prost-types",
@@ -4139,7 +4146,8 @@ dependencies = [
[[package]]
name = "lance-index"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-array",
@@ -4176,7 +4184,7 @@ dependencies = [
"log",
"moka",
"num-traits",
"object_store",
"object_store 0.11.2",
"prost",
"prost-build",
"rand 0.8.5",
@@ -4194,7 +4202,8 @@ dependencies = [
[[package]]
name = "lance-io"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-arith",
@@ -4218,7 +4227,7 @@ dependencies = [
"lance-core",
"lazy_static",
"log",
"object_store",
"object_store 0.11.2",
"path_abs",
"pin-project",
"prost",
@@ -4233,7 +4242,8 @@ dependencies = [
[[package]]
name = "lance-linalg"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow-array",
"arrow-ord",
@@ -4256,7 +4266,8 @@ dependencies = [
[[package]]
name = "lance-table"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow",
"arrow-array",
@@ -4277,7 +4288,7 @@ dependencies = [
"lance-io",
"lazy_static",
"log",
"object_store",
"object_store 0.11.2",
"prost",
"prost-build",
"prost-types",
@@ -4295,7 +4306,8 @@ dependencies = [
[[package]]
name = "lance-testing"
version = "0.31.0"
version = "0.30.0"
source = "git+https://github.com/lancedb/lance.git?tag=v0.30.0-beta.1#a499cfa06b7221b895bc13908cfc2ee7aadba46e"
dependencies = [
"arrow-array",
"arrow-schema",
@@ -4306,7 +4318,7 @@ dependencies = [
[[package]]
name = "lancedb"
version = "0.21.0"
version = "0.20.1-beta.1"
dependencies = [
"arrow",
"arrow-array",
@@ -4353,7 +4365,7 @@ dependencies = [
"log",
"moka",
"num-traits",
"object_store",
"object_store 0.11.2",
"pin-project",
"polars",
"polars-arrow",
@@ -4393,7 +4405,7 @@ dependencies = [
[[package]]
name = "lancedb-node"
version = "0.21.0"
version = "0.20.1-beta.1"
dependencies = [
"arrow-array",
"arrow-ipc",
@@ -4410,7 +4422,7 @@ dependencies = [
"lancedb",
"lzma-sys",
"neon",
"object_store",
"object_store 0.11.2",
"once_cell",
"snafu",
"tokio",
@@ -4418,7 +4430,7 @@ dependencies = [
[[package]]
name = "lancedb-nodejs"
version = "0.21.0"
version = "0.20.1-beta.1"
dependencies = [
"arrow-array",
"arrow-ipc",
@@ -4438,7 +4450,7 @@ dependencies = [
[[package]]
name = "lancedb-python"
version = "0.24.0"
version = "0.23.1-beta.1"
dependencies = [
"arrow",
"env_logger",
@@ -5149,33 +5161,51 @@ dependencies = [
[[package]]
name = "object_store"
version = "0.12.2"
version = "0.11.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7781f96d79ed0f961a7021424ab01840efbda64ae7a505aaea195efc91eaaec4"
checksum = "3cfccb68961a56facde1163f9319e0d15743352344e7808a11795fb99698dcaf"
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",
"itertools 0.13.0",
"md-5",
"parking_lot",
"percent-encoding",
"quick-xml",
"rand 0.9.1",
"rand 0.8.5",
"reqwest",
"ring",
"rustls-pemfile 2.2.0",
"serde",
"serde_json",
"serde_urlencoded",
"snafu",
"tokio",
"tracing",
"url",
"walkdir",
]
[[package]]
name = "object_store"
version = "0.12.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7781f96d79ed0f961a7021424ab01840efbda64ae7a505aaea195efc91eaaec4"
dependencies = [
"async-trait",
"bytes",
"chrono",
"futures",
"http 1.3.1",
"humantime",
"itertools 0.14.0",
"parking_lot",
"percent-encoding",
"thiserror 2.0.12",
"tokio",
"tracing",

View File

@@ -21,14 +21,14 @@ categories = ["database-implementations"]
rust-version = "1.78.0"
[workspace.dependencies]
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" }
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" }
# 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 = "0.12.0"
object_store = "0.11.0"
pin-project = "1.0.7"
snafu = "0.8"
url = "2"

View File

@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.21.0-final.0</version>
<version>0.20.1-beta.2</version>
<relativePath>../pom.xml</relativePath>
</parent>

View File

@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.21.0-final.0</version>
<version>0.20.1-beta.2</version>
<packaging>pom</packaging>
<name>LanceDB Parent</name>

74
node/package-lock.json generated
View File

@@ -1,12 +1,12 @@
{
"name": "vectordb",
"version": "0.21.0",
"version": "0.20.1-beta.1",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "vectordb",
"version": "0.21.0",
"version": "0.20.1-beta.1",
"cpu": [
"x64",
"arm64"
@@ -52,11 +52,11 @@
"uuid": "^9.0.0"
},
"optionalDependencies": {
"@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"
"@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"
},
"peerDependencies": {
"@apache-arrow/ts": "^14.0.2",
@@ -326,6 +326,66 @@
"@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",

View File

@@ -1,6 +1,6 @@
{
"name": "vectordb",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"description": " Serverless, low-latency vector database for AI applications",
"private": false,
"main": "dist/index.js",
@@ -89,10 +89,10 @@
}
},
"optionalDependencies": {
"@lancedb/vectordb-darwin-x64": "0.21.0",
"@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"
"@lancedb/vectordb-darwin-x64": "0.20.1-beta.2",
"@lancedb/vectordb-darwin-arm64": "0.20.1-beta.2",
"@lancedb/vectordb-linux-x64-gnu": "0.20.1-beta.2",
"@lancedb/vectordb-linux-arm64-gnu": "0.20.1-beta.2",
"@lancedb/vectordb-win32-x64-msvc": "0.20.1-beta.2"
}
}

View File

@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.21.0"
version = "0.20.1-beta.2"
license.workspace = true
description.workspace = true
repository.workspace = true

View File

@@ -1650,25 +1650,13 @@ 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: "The cat and dog are playing" },
{ text: "The cat is sleeping" },
{ text: "The dog is barking" },
{ text: "The dog chases the cat" },
{ text: "hello world", vector: [0.1, 0.2, 0.3] },
{ text: "goodbye world", vector: [0.4, 0.5, 0.6] },
];
const table = await db.createTable("test", data);
await table.createIndex("text", {
@@ -1678,32 +1666,22 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
const shouldResults = await table
.search(
new BooleanQuery([
[Occur.Should, new MatchQuery("cat", "text")],
[Occur.Should, new MatchQuery("dog", "text")],
[Occur.Should, new MatchQuery("hello", "text")],
[Occur.Should, new MatchQuery("goodbye", "text")],
]),
)
.toArray();
expect(shouldResults.length).toBe(4);
expect(shouldResults.length).toBe(2);
const mustResults = await table
.search(
new BooleanQuery([
[Occur.Must, new MatchQuery("cat", "text")],
[Occur.Must, new MatchQuery("dog", "text")],
[Occur.Must, new MatchQuery("hello", "text")],
[Occur.Must, new MatchQuery("world", "text")],
]),
)
.toArray();
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);
expect(mustResults.length).toBe(1);
});
test.each([

View File

@@ -812,12 +812,10 @@ 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 {
Should = "SHOULD",
Must = "MUST",
MustNot = "MUST_NOT",
Should = "SHOULD",
}
/**
@@ -858,7 +856,6 @@ 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,
@@ -868,7 +865,6 @@ export class MatchQuery implements FullTextQuery {
fuzziness?: number;
maxExpansions?: number;
operator?: Operator;
prefixLength?: number;
},
) {
let fuzziness = options?.fuzziness;
@@ -882,7 +878,6 @@ export class MatchQuery implements FullTextQuery {
fuzziness,
options?.maxExpansions ?? 50,
options?.operator ?? Operator.Or,
options?.prefixLength ?? 0,
);
}

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-x64",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["darwin"],
"cpu": ["x64"],
"main": "lancedb.darwin-x64.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": [
"win32"
],

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.21.0",
"version": "0.20.1-beta.2",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",

View File

@@ -1,12 +1,12 @@
{
"name": "@lancedb/lancedb",
"version": "0.21.0",
"version": "0.20.1-beta.1",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@lancedb/lancedb",
"version": "0.21.0",
"version": "0.20.1-beta.1",
"cpu": [
"x64",
"arm64"

View File

@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.21.0",
"version": "0.20.1-beta.2",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",

View File

@@ -335,7 +335,6 @@ impl JsFullTextQuery {
fuzziness: Option<u32>,
max_expansions: u32,
operator: String,
prefix_length: u32,
) -> napi::Result<Self> {
Ok(Self {
inner: MatchQuery::new(query)
@@ -348,7 +347,6 @@ impl JsFullTextQuery {
napi::Error::from_reason(format!("Invalid operator: {}", e))
})?,
)
.with_prefix_length(prefix_length)
.into(),
})
}

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.24.0"
current_version = "0.23.1-beta.2"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb-python"
version = "0.24.0"
version = "0.23.1-beta.2"
edition.workspace = true
description = "Python bindings for LanceDB"
license.workspace = true

View File

@@ -101,9 +101,8 @@ class FullTextOperator(str, Enum):
class Occur(str, Enum):
SHOULD = "SHOULD"
MUST = "MUST"
MUST_NOT = "MUST_NOT"
SHOULD = "SHOULD"
@pydantic.dataclasses.dataclass
@@ -182,9 +181,6 @@ 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
@@ -193,7 +189,6 @@ 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
@@ -1451,13 +1446,10 @@ class LanceFtsQueryBuilder(LanceQueryBuilder):
query = self._query
if self._phrase_query:
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.")
raise NotImplementedError(
"Phrase query is not yet supported in Lance FTS. "
"Use tantivy-based index instead for now."
)
query = self.to_query_object()
results = self._table._execute_query(query, timeout=timeout)
results = results.read_all()
@@ -3042,21 +3034,15 @@ 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
<BLANKLINE>
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
FTS Search Plan:
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>
LanceScan: uri=..., projection=[vector, text], row_id=false, row_addr=false, ordered=true
Parameters
----------

View File

@@ -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 = False,
use_tantivy: bool = True,
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 False
use_tantivy: bool, default True
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 = False,
use_tantivy: bool = True,
tokenizer_name: Optional[str] = None,
with_position: bool = False,
# tokenizer configs:

View File

@@ -6,7 +6,7 @@ import lancedb
# --8<-- [end:import-lancedb]
# --8<-- [start:import-numpy]
from lancedb.query import BooleanQuery, BoostQuery, MatchQuery, Occur
from lancedb.query import BoostQuery, MatchQuery
import numpy as np
import pyarrow as pa
@@ -191,15 +191,6 @@ 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"
@@ -249,60 +240,6 @@ 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"
)

View File

@@ -775,82 +775,6 @@ 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)

View File

@@ -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", use_tantivy=True)
table.create_fts_index("x")
# make sure list tables still works
assert db.table_names() == ["test_ddb_sync"]

View File

@@ -50,7 +50,6 @@ 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)
@@ -61,7 +60,6 @@ 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(),
))
}
@@ -141,8 +139,7 @@ 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::<_, &str>("operator", query.operator.into())?;
kwargs.set_item("prefix_length", query.prefix_length)?;
kwargs.set_item("operator", operator_to_str(query.operator))?;
namespace
.getattr(intern!(py, "MatchQuery"))?
.call((query.terms, query.column.unwrap()), Some(&kwargs))
@@ -172,25 +169,19 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
.unzip();
let kwargs = PyDict::new(py);
kwargs.set_item("boosts", boosts)?;
kwargs.set_item::<_, &str>("operator", first.operator.into())?;
kwargs.set_item("operator", operator_to_str(first.operator))?;
namespace
.getattr(intern!(py, "MultiMatchQuery"))?
.call((first.terms.clone(), columns), Some(&kwargs))
}
FtsQuery::Boolean(query) => {
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::Should.into(), PyLanceDB(q).into_pyobject(py)?));
}
let mut queries = Vec::with_capacity(query.must.len() + query.should.len());
for q in query.must {
queries.push((Occur::Must.into(), PyLanceDB(q).into_pyobject(py)?));
queries.push((occur_to_str(Occur::Must), PyLanceDB(q).into_pyobject(py)?));
}
for q in query.must_not {
queries.push((Occur::MustNot.into(), PyLanceDB(q).into_pyobject(py)?));
for q in query.should {
queries.push((occur_to_str(Occur::Should), PyLanceDB(q).into_pyobject(py)?));
}
namespace
.getattr(intern!(py, "BooleanQuery"))?
.call1((queries,))
@@ -199,6 +190,21 @@ 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>>);
@@ -563,10 +569,7 @@ impl FTSQuery {
}
pub fn explain_plan(self_: PyRef<'_, Self>, verbose: bool) -> PyResult<Bound<'_, PyAny>> {
let inner = self_
.inner
.clone()
.full_text_search(self_.fts_query.clone());
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
inner
.explain_plan(verbose)
@@ -576,10 +579,7 @@ impl FTSQuery {
}
pub fn analyze_plan(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
let inner = self_
.inner
.clone()
.full_text_search(self_.fts_query.clone());
let inner = self_.inner.clone();
future_into_py(self_.py(), async move {
inner
.analyze_plan()

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb-node"
version = "0.21.0"
version = "0.20.1-beta.2"
description = "Serverless, low-latency vector database for AI applications"
license.workspace = true
edition.workspace = true

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb"
version = "0.21.0"
version = "0.20.1-beta.2"
edition.workspace = true
description = "LanceDB: A serverless, low-latency vector database for AI applications"
license.workspace = true

View File

@@ -107,7 +107,7 @@ impl ObjectStore for MirroringObjectStore {
self.primary.delete(location).await
}
fn list(&self, prefix: Option<&Path>) -> BoxStream<'static, Result<ObjectMeta>> {
fn list(&self, prefix: Option<&Path>) -> BoxStream<'_, Result<ObjectMeta>> {
self.primary.list(prefix)
}

View File

@@ -133,7 +133,7 @@ impl ObjectStore for IoTrackingStore {
result
}
async fn get_range(&self, location: &Path, range: std::ops::Range<u64>) -> OSResult<Bytes> {
async fn get_range(&self, location: &Path, range: std::ops::Range<usize>) -> 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<u64>],
ranges: &[std::ops::Range<usize>],
) -> 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<'static, OSResult<ObjectMeta>> {
fn list(&self, prefix: Option<&Path>) -> BoxStream<'_, 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<'static, OSResult<ObjectMeta>> {
) -> BoxStream<'_, OSResult<ObjectMeta>> {
self.record_read(0);
self.target.list_with_offset(prefix, offset)
}