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1 Commits
python-v0.
...
lance-main
| Author | SHA1 | Date | |
|---|---|---|---|
|
5a732bbf39 |
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
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||||
current_version = "0.21.1-beta.1"
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||||
current_version = "0.21.0"
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||||
parse = """(?x)
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||||
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||||
(?P<minor>0|[1-9]\\d*)\\.
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||||
|
||||
317
Cargo.lock
generated
317
Cargo.lock
generated
@@ -357,8 +357,6 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
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|
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[[package]]
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||||
@@ -1209,31 +1207,6 @@ dependencies = [
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"generic-array",
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|
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@@ -1994,16 +1968,16 @@ dependencies = [
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|
||||
checksum = "f8d0582f186c0a6d55655d24543f15e43607299425c5ad8352c242b914b31856"
|
||||
dependencies = [
|
||||
"aho-corasick",
|
||||
"arc-swap",
|
||||
"base64 0.22.1",
|
||||
"bitpacking",
|
||||
"bon",
|
||||
"byteorder",
|
||||
"census",
|
||||
"crc32fast",
|
||||
@@ -7439,20 +7370,20 @@ dependencies = [
|
||||
"fnv",
|
||||
"fs4",
|
||||
"htmlescape",
|
||||
"hyperloglogplus",
|
||||
"itertools 0.14.0",
|
||||
"itertools 0.12.1",
|
||||
"levenshtein_automata",
|
||||
"log",
|
||||
"lru",
|
||||
"lz4_flex",
|
||||
"measure_time",
|
||||
"memmap2 0.9.5",
|
||||
"num_cpus",
|
||||
"once_cell",
|
||||
"oneshot",
|
||||
"rayon",
|
||||
"regex",
|
||||
"rust-stemmers",
|
||||
"rustc-hash 2.1.1",
|
||||
"rustc-hash 1.1.0",
|
||||
"serde",
|
||||
"serde_json",
|
||||
"sketches-ddsketch",
|
||||
@@ -7465,7 +7396,7 @@ dependencies = [
|
||||
"tantivy-stacker",
|
||||
"tantivy-tokenizer-api",
|
||||
"tempfile",
|
||||
"thiserror 2.0.12",
|
||||
"thiserror 1.0.69",
|
||||
"time",
|
||||
"uuid",
|
||||
"winapi",
|
||||
@@ -7473,22 +7404,22 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-bitpacker"
|
||||
version = "0.8.0"
|
||||
version = "0.6.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "1adc286a39e089ae9938935cd488d7d34f14502544a36607effd2239ff0e2494"
|
||||
checksum = "284899c2325d6832203ac6ff5891b297fc5239c3dc754c5bc1977855b23c10df"
|
||||
dependencies = [
|
||||
"bitpacking",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-columnar"
|
||||
version = "0.5.0"
|
||||
version = "0.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "6300428e0c104c4f7db6f95b466a6f5c1b9aece094ec57cdd365337908dc7344"
|
||||
checksum = "12722224ffbe346c7fec3275c699e508fd0d4710e629e933d5736ec524a1f44e"
|
||||
dependencies = [
|
||||
"downcast-rs",
|
||||
"fastdivide",
|
||||
"itertools 0.14.0",
|
||||
"itertools 0.12.1",
|
||||
"serde",
|
||||
"tantivy-bitpacker",
|
||||
"tantivy-common",
|
||||
@@ -7498,9 +7429,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-common"
|
||||
version = "0.9.0"
|
||||
version = "0.7.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "e91b6ea6090ce03dc72c27d0619e77185d26cc3b20775966c346c6d4f7e99d7f"
|
||||
checksum = "8019e3cabcfd20a1380b491e13ff42f57bb38bf97c3d5fa5c07e50816e0621f4"
|
||||
dependencies = [
|
||||
"async-trait",
|
||||
"byteorder",
|
||||
@@ -7522,23 +7453,19 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-query-grammar"
|
||||
version = "0.24.0"
|
||||
version = "0.22.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "e810cdeeebca57fc3f7bfec5f85fdbea9031b2ac9b990eb5ff49b371d52bbe6a"
|
||||
checksum = "847434d4af57b32e309f4ab1b4f1707a6c566656264caa427ff4285c4d9d0b82"
|
||||
dependencies = [
|
||||
"nom",
|
||||
"serde",
|
||||
"serde_json",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-sstable"
|
||||
version = "0.5.0"
|
||||
version = "0.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "709f22c08a4c90e1b36711c1c6cad5ae21b20b093e535b69b18783dd2cb99416"
|
||||
checksum = "c69578242e8e9fc989119f522ba5b49a38ac20f576fc778035b96cc94f41f98e"
|
||||
dependencies = [
|
||||
"futures-util",
|
||||
"itertools 0.14.0",
|
||||
"tantivy-bitpacker",
|
||||
"tantivy-common",
|
||||
"tantivy-fst",
|
||||
@@ -7547,9 +7474,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-stacker"
|
||||
version = "0.5.0"
|
||||
version = "0.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2bcdebb267671311d1e8891fd9d1301803fdb8ad21ba22e0a30d0cab49ba59c1"
|
||||
checksum = "c56d6ff5591fc332739b3ce7035b57995a3ce29a93ffd6012660e0949c956ea8"
|
||||
dependencies = [
|
||||
"murmurhash32",
|
||||
"rand_distr 0.4.3",
|
||||
@@ -7558,9 +7485,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "tantivy-tokenizer-api"
|
||||
version = "0.5.0"
|
||||
version = "0.3.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "dfa942fcee81e213e09715bbce8734ae2180070b97b33839a795ba1de201547d"
|
||||
checksum = "2a0dcade25819a89cfe6f17d932c9cedff11989936bf6dd4f336d50392053b04"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
|
||||
30
Cargo.toml
30
Cargo.toml
@@ -21,14 +21,14 @@ categories = ["database-implementations"]
|
||||
rust-version = "1.78.0"
|
||||
|
||||
[workspace.dependencies]
|
||||
lance = { "version" = "=0.31.1", features = ["dynamodb"] }
|
||||
lance-io = { "version" = "=0.31.1" }
|
||||
lance-index = { "version" = "=0.31.1" }
|
||||
lance-linalg = { "version" = "=0.31.1" }
|
||||
lance-table = { "version" = "=0.31.1" }
|
||||
lance-testing = { "version" = "=0.31.1" }
|
||||
lance-datafusion = { "version" = "=0.31.1" }
|
||||
lance-encoding = { "version" = "=0.31.1" }
|
||||
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"
|
||||
@@ -39,14 +39,14 @@ arrow-schema = "55.1"
|
||||
arrow-arith = "55.1"
|
||||
arrow-cast = "55.1"
|
||||
async-trait = "0"
|
||||
datafusion = { version = "48.0", default-features = false }
|
||||
datafusion-catalog = "48.0"
|
||||
datafusion-common = { version = "48.0", default-features = false }
|
||||
datafusion-execution = "48.0"
|
||||
datafusion-expr = "48.0"
|
||||
datafusion-physical-plan = "48.0"
|
||||
datafusion = { version = "47.0", default-features = false }
|
||||
datafusion-catalog = "47.0"
|
||||
datafusion-common = { version = "47.0", default-features = false }
|
||||
datafusion-execution = "47.0"
|
||||
datafusion-expr = "47.0"
|
||||
datafusion-physical-plan = "47.0"
|
||||
env_logger = "0.11"
|
||||
half = { "version" = "2.6.0", default-features = false, features = [
|
||||
half = { "version" = "=2.5.0", default-features = false, features = [
|
||||
"num-traits",
|
||||
] }
|
||||
futures = "0"
|
||||
|
||||
@@ -428,7 +428,7 @@
|
||||
"\n",
|
||||
"**Why?** \n",
|
||||
"Embedding the UFO dataset and ingesting it into LanceDB takes **~2 hours on a T4 GPU**. To save time: \n",
|
||||
"- **Use the pre-prepared table with index created** (provided below) to proceed directly to **Step 7**: search. \n",
|
||||
"- **Use the pre-prepared table with index created ** (provided below) to proceed directly to step7: search. \n",
|
||||
"- **Step 5a** contains the full ingestion code for reference (run it only if necessary). \n",
|
||||
"- **Step 6** contains the details on creating the index on the multivector column"
|
||||
]
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
<parent>
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.21.1-beta.1</version>
|
||||
<version>0.21.0-final.0</version>
|
||||
<relativePath>../pom.xml</relativePath>
|
||||
</parent>
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.21.1-beta.1</version>
|
||||
<version>0.21.0-final.0</version>
|
||||
<packaging>pom</packaging>
|
||||
|
||||
<name>LanceDB Parent</name>
|
||||
|
||||
74
node/package-lock.json
generated
74
node/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "vectordb",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
@@ -52,11 +52,11 @@
|
||||
"uuid": "^9.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/vectordb-darwin-arm64": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-darwin-x64": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.21.1-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": "0.21.1-beta.1",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.21.1-beta.1.tgz",
|
||||
"integrity": "sha512-D9SOLFb/40E2/9bt82xOti3jogRAaR1UkT2LfGZJw/0wBu8d8/xKjWgfm3d26S5K6in6DWsX1njLxevrFqD5HA==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-darwin-x64": {
|
||||
"version": "0.21.1-beta.1",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.21.1-beta.1.tgz",
|
||||
"integrity": "sha512-JnZ41aDOJs6LWfI9t/+MnpqsK/Fj9r/hDdZSOjcQquLOcm2eP3NnvEnDvn+1pqWBN6ceqf1avTatPBGnD/yhNA==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"darwin"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-arm64-gnu": {
|
||||
"version": "0.21.1-beta.1",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.21.1-beta.1.tgz",
|
||||
"integrity": "sha512-Xnw0wYtnfzVUr4DzppJCSx+HZdAHr6sqMC8SdaYNQ9XEjBZE20n5SO2AdBYjejbmONJ7lpGs3ydnLIZ6N40dAQ==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-x64-gnu": {
|
||||
"version": "0.21.1-beta.1",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.21.1-beta.1.tgz",
|
||||
"integrity": "sha512-7S7gV13hv9Ho5W1Jat3FYiaMJOjRAwZOol7lKvOhU+sR/tJMEfZIOWAgymoqhAowbMtf+wwLoeKacfybXGET/w==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
"optional": true,
|
||||
"os": [
|
||||
"linux"
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-win32-x64-msvc": {
|
||||
"version": "0.21.1-beta.1",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.21.1-beta.1.tgz",
|
||||
"integrity": "sha512-w6fEQA9IquvJ/GUYfiawRQvvdFD6OU44UW9JWm+FoscUFzdLiV7qmH4QjYEeEXQD7ob83ikFaxXGPTksYXpNOA==",
|
||||
"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",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.21.1-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": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-darwin-arm64": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.21.1-beta.1",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.21.1-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"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
name = "lancedb-nodejs"
|
||||
edition.workspace = true
|
||||
version = "0.21.1-beta.1"
|
||||
version = "0.21.0"
|
||||
license.workspace = true
|
||||
description.workspace = true
|
||||
repository.workspace = true
|
||||
|
||||
@@ -368,9 +368,9 @@ describe("merge insert", () => {
|
||||
{ a: 4, b: "z" },
|
||||
];
|
||||
|
||||
const result = (await table.toArrow()).toArray().sort((a, b) => a.a - b.a);
|
||||
|
||||
expect(result.map((row) => ({ ...row }))).toEqual(expected);
|
||||
expect(
|
||||
JSON.parse(JSON.stringify((await table.toArrow()).toArray())),
|
||||
).toEqual(expected);
|
||||
});
|
||||
test("conditional update", async () => {
|
||||
const newData = [
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-arm64",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["darwin"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.darwin-arm64.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-x64",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["darwin"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.darwin-x64.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-gnu",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-musl",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-gnu",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-musl",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-arm64-msvc",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-x64-msvc",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"os": ["win32"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.win32-x64-msvc.node",
|
||||
|
||||
4
nodejs/package-lock.json
generated
4
nodejs/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
"ann"
|
||||
],
|
||||
"private": false,
|
||||
"version": "0.21.1-beta.1",
|
||||
"version": "0.21.0",
|
||||
"main": "dist/index.js",
|
||||
"exports": {
|
||||
".": "./dist/index.js",
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
|
||||
current_version = "0.24.1"
|
||||
current_version = "0.24.0"
|
||||
parse = """(?x)
|
||||
(?P<major>0|[1-9]\\d*)\\.
|
||||
(?P<minor>0|[1-9]\\d*)\\.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-python"
|
||||
version = "0.24.1"
|
||||
version = "0.24.0"
|
||||
edition.workspace = true
|
||||
description = "Python bindings for LanceDB"
|
||||
license.workspace = true
|
||||
|
||||
@@ -85,7 +85,7 @@ embeddings = [
|
||||
"boto3>=1.28.57",
|
||||
"awscli>=1.29.57",
|
||||
"botocore>=1.31.57",
|
||||
"ollama>=0.3.0",
|
||||
"ollama",
|
||||
"ibm-watsonx-ai>=1.1.2",
|
||||
]
|
||||
azure = ["adlfs>=2024.2.0"]
|
||||
|
||||
@@ -2,15 +2,14 @@
|
||||
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
from functools import cached_property
|
||||
from typing import TYPE_CHECKING, List, Optional, Sequence, Union
|
||||
|
||||
import numpy as np
|
||||
from typing import TYPE_CHECKING, List, Optional, Union
|
||||
|
||||
from ..util import attempt_import_or_raise
|
||||
from .base import TextEmbeddingFunction
|
||||
from .registry import register
|
||||
|
||||
if TYPE_CHECKING:
|
||||
import numpy as np
|
||||
import ollama
|
||||
|
||||
|
||||
@@ -29,21 +28,23 @@ class OllamaEmbeddings(TextEmbeddingFunction):
|
||||
keep_alive: Optional[Union[float, str]] = None
|
||||
ollama_client_kwargs: Optional[dict] = {}
|
||||
|
||||
def ndims(self) -> int:
|
||||
def ndims(self):
|
||||
return len(self.generate_embeddings(["foo"])[0])
|
||||
|
||||
def _compute_embedding(self, text: Sequence[str]) -> Sequence[Sequence[float]]:
|
||||
response = self._ollama_client.embed(
|
||||
model=self.name,
|
||||
input=text,
|
||||
options=self.options,
|
||||
keep_alive=self.keep_alive,
|
||||
def _compute_embedding(self, text) -> Union["np.array", None]:
|
||||
return (
|
||||
self._ollama_client.embeddings(
|
||||
model=self.name,
|
||||
prompt=text,
|
||||
options=self.options,
|
||||
keep_alive=self.keep_alive,
|
||||
)["embedding"]
|
||||
or None
|
||||
)
|
||||
return response.embeddings
|
||||
|
||||
def generate_embeddings(
|
||||
self, texts: Union[List[str], np.ndarray]
|
||||
) -> list[Union[np.array, None]]:
|
||||
self, texts: Union[List[str], "np.ndarray"]
|
||||
) -> list[Union["np.array", None]]:
|
||||
"""
|
||||
Get the embeddings for the given texts
|
||||
|
||||
@@ -53,8 +54,8 @@ class OllamaEmbeddings(TextEmbeddingFunction):
|
||||
The texts to embed
|
||||
"""
|
||||
# TODO retry, rate limit, token limit
|
||||
embeddings = self._compute_embedding(texts)
|
||||
return list(embeddings)
|
||||
embeddings = [self._compute_embedding(text) for text in texts]
|
||||
return embeddings
|
||||
|
||||
@cached_property
|
||||
def _ollama_client(self) -> "ollama.Client":
|
||||
|
||||
@@ -18,7 +18,7 @@ from lancedb._lancedb import (
|
||||
UpdateResult,
|
||||
)
|
||||
from lancedb.embeddings.base import EmbeddingFunctionConfig
|
||||
from lancedb.index import FTS, BTree, Bitmap, HnswSq, IvfFlat, IvfPq, LabelList
|
||||
from lancedb.index import FTS, BTree, Bitmap, HnswPq, HnswSq, IvfFlat, IvfPq, LabelList
|
||||
from lancedb.remote.db import LOOP
|
||||
import pyarrow as pa
|
||||
|
||||
@@ -89,7 +89,7 @@ class RemoteTable(Table):
|
||||
|
||||
def to_pandas(self):
|
||||
"""to_pandas() is not yet supported on LanceDB cloud."""
|
||||
raise NotImplementedError("to_pandas() is not yet supported on LanceDB cloud.")
|
||||
return NotImplementedError("to_pandas() is not yet supported on LanceDB cloud.")
|
||||
|
||||
def checkout(self, version: Union[int, str]):
|
||||
return LOOP.run(self._table.checkout(version))
|
||||
@@ -186,8 +186,6 @@ class RemoteTable(Table):
|
||||
accelerator: Optional[str] = None,
|
||||
index_type="vector",
|
||||
wait_timeout: Optional[timedelta] = None,
|
||||
*,
|
||||
num_bits: int = 8,
|
||||
):
|
||||
"""Create an index on the table.
|
||||
Currently, the only parameters that matter are
|
||||
@@ -222,6 +220,11 @@ class RemoteTable(Table):
|
||||
>>> table.create_index("l2", "vector") # doctest: +SKIP
|
||||
"""
|
||||
|
||||
if num_partitions is not None:
|
||||
logging.warning(
|
||||
"num_partitions is not supported on LanceDB cloud."
|
||||
"This parameter will be tuned automatically."
|
||||
)
|
||||
if num_sub_vectors is not None:
|
||||
logging.warning(
|
||||
"num_sub_vectors is not supported on LanceDB cloud."
|
||||
@@ -241,21 +244,13 @@ class RemoteTable(Table):
|
||||
|
||||
index_type = index_type.upper()
|
||||
if index_type == "VECTOR" or index_type == "IVF_PQ":
|
||||
config = IvfPq(
|
||||
distance_type=metric,
|
||||
num_partitions=num_partitions,
|
||||
num_sub_vectors=num_sub_vectors,
|
||||
num_bits=num_bits,
|
||||
)
|
||||
config = IvfPq(distance_type=metric)
|
||||
elif index_type == "IVF_HNSW_PQ":
|
||||
raise ValueError(
|
||||
"IVF_HNSW_PQ is not supported on LanceDB cloud."
|
||||
"Please use IVF_HNSW_SQ instead."
|
||||
)
|
||||
config = HnswPq(distance_type=metric)
|
||||
elif index_type == "IVF_HNSW_SQ":
|
||||
config = HnswSq(distance_type=metric, num_partitions=num_partitions)
|
||||
config = HnswSq(distance_type=metric)
|
||||
elif index_type == "IVF_FLAT":
|
||||
config = IvfFlat(distance_type=metric, num_partitions=num_partitions)
|
||||
config = IvfFlat(distance_type=metric)
|
||||
else:
|
||||
raise ValueError(
|
||||
f"Unknown vector index type: {index_type}. Valid options are"
|
||||
|
||||
@@ -210,25 +210,6 @@ async def test_retry_error():
|
||||
assert cause.status_code == 429
|
||||
|
||||
|
||||
def test_table_unimplemented_functions():
|
||||
def handler(request):
|
||||
if request.path == "/v1/table/test/create/?mode=create":
|
||||
request.send_response(200)
|
||||
request.send_header("Content-Type", "application/json")
|
||||
request.end_headers()
|
||||
request.wfile.write(b"{}")
|
||||
else:
|
||||
request.send_response(404)
|
||||
request.end_headers()
|
||||
|
||||
with mock_lancedb_connection(handler) as db:
|
||||
table = db.create_table("test", [{"id": 1}])
|
||||
with pytest.raises(NotImplementedError):
|
||||
table.to_arrow()
|
||||
with pytest.raises(NotImplementedError):
|
||||
table.to_pandas()
|
||||
|
||||
|
||||
def test_table_add_in_threadpool():
|
||||
def handler(request):
|
||||
if request.path == "/v1/table/test/insert/":
|
||||
|
||||
@@ -52,7 +52,7 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
|
||||
let operator = ob.getattr("operator")?.extract::<String>()?;
|
||||
let prefix_length = ob.getattr("prefix_length")?.extract()?;
|
||||
|
||||
Ok(Self(
|
||||
Ok(PyLanceDB(
|
||||
MatchQuery::new(query)
|
||||
.with_column(Some(column))
|
||||
.with_boost(boost)
|
||||
@@ -70,7 +70,7 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
|
||||
let column = ob.getattr("column")?.extract()?;
|
||||
let slop = ob.getattr("slop")?.extract()?;
|
||||
|
||||
Ok(Self(
|
||||
Ok(PyLanceDB(
|
||||
PhraseQuery::new(query)
|
||||
.with_column(Some(column))
|
||||
.with_slop(slop)
|
||||
@@ -78,10 +78,10 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
|
||||
))
|
||||
}
|
||||
"BoostQuery" => {
|
||||
let positive: Self = ob.getattr("positive")?.extract()?;
|
||||
let negative: Self = ob.getattr("negative")?.extract()?;
|
||||
let positive: PyLanceDB<FtsQuery> = ob.getattr("positive")?.extract()?;
|
||||
let negative: PyLanceDB<FtsQuery> = ob.getattr("negative")?.extract()?;
|
||||
let negative_boost = ob.getattr("negative_boost")?.extract()?;
|
||||
Ok(Self(
|
||||
Ok(PyLanceDB(
|
||||
BoostQuery::new(positive.0, negative.0, negative_boost).into(),
|
||||
))
|
||||
}
|
||||
@@ -103,17 +103,18 @@ impl FromPyObject<'_> for PyLanceDB<FtsQuery> {
|
||||
let op = Operator::try_from(operator.as_str())
|
||||
.map_err(|e| PyValueError::new_err(format!("Invalid operator: {}", e)))?;
|
||||
|
||||
Ok(Self(q.with_operator(op).into()))
|
||||
Ok(PyLanceDB(q.with_operator(op).into()))
|
||||
}
|
||||
"BooleanQuery" => {
|
||||
let queries: Vec<(String, Self)> = ob.getattr("queries")?.extract()?;
|
||||
let queries: Vec<(String, PyLanceDB<FtsQuery>)> =
|
||||
ob.getattr("queries")?.extract()?;
|
||||
let mut sub_queries = Vec::with_capacity(queries.len());
|
||||
for (occur, q) in queries {
|
||||
let occur = Occur::try_from(occur.as_str())
|
||||
.map_err(|e| PyValueError::new_err(e.to_string()))?;
|
||||
sub_queries.push((occur, q.0));
|
||||
}
|
||||
Ok(Self(BooleanQuery::new(sub_queries).into()))
|
||||
Ok(PyLanceDB(BooleanQuery::new(sub_queries).into()))
|
||||
}
|
||||
name => Err(PyValueError::new_err(format!(
|
||||
"Unsupported FTS query type: {}",
|
||||
@@ -154,8 +155,8 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
|
||||
.call((query.terms, query.column.unwrap()), Some(&kwargs))
|
||||
}
|
||||
FtsQuery::Boost(query) => {
|
||||
let positive = Self(query.positive.as_ref().clone()).into_pyobject(py)?;
|
||||
let negative = Self(query.negative.as_ref().clone()).into_pyobject(py)?;
|
||||
let positive = PyLanceDB(query.positive.as_ref().clone()).into_pyobject(py)?;
|
||||
let negative = PyLanceDB(query.negative.as_ref().clone()).into_pyobject(py)?;
|
||||
let kwargs = PyDict::new(py);
|
||||
kwargs.set_item("negative_boost", query.negative_boost)?;
|
||||
namespace
|
||||
@@ -181,13 +182,13 @@ impl<'py> IntoPyObject<'py> for PyLanceDB<FtsQuery> {
|
||||
query.should.len() + query.must.len() + query.must_not.len(),
|
||||
);
|
||||
for q in query.should {
|
||||
queries.push((Occur::Should.into(), Self(q).into_pyobject(py)?));
|
||||
queries.push((Occur::Should.into(), PyLanceDB(q).into_pyobject(py)?));
|
||||
}
|
||||
for q in query.must {
|
||||
queries.push((Occur::Must.into(), Self(q).into_pyobject(py)?));
|
||||
queries.push((Occur::Must.into(), PyLanceDB(q).into_pyobject(py)?));
|
||||
}
|
||||
for q in query.must_not {
|
||||
queries.push((Occur::MustNot.into(), Self(q).into_pyobject(py)?));
|
||||
queries.push((Occur::MustNot.into(), PyLanceDB(q).into_pyobject(py)?));
|
||||
}
|
||||
|
||||
namespace
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-node"
|
||||
version = "0.21.1-beta.1"
|
||||
version = "0.21.0"
|
||||
description = "Serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
edition.workspace = true
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb"
|
||||
version = "0.21.1-beta.1"
|
||||
version = "0.21.0"
|
||||
edition.workspace = true
|
||||
description = "LanceDB: A serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
|
||||
@@ -105,7 +105,7 @@ impl ListingCatalog {
|
||||
}
|
||||
|
||||
async fn open_path(path: &str) -> Result<Self> {
|
||||
let (object_store, base_path) = ObjectStore::from_uri(path).await?;
|
||||
let (object_store, base_path) = ObjectStore::from_uri(path).await.unwrap();
|
||||
if object_store.is_local() {
|
||||
Self::try_create_dir(path).context(CreateDirSnafu { path })?;
|
||||
}
|
||||
|
||||
@@ -119,7 +119,7 @@ impl ObjectStore for IoTrackingStore {
|
||||
let result = self.target.get(location).await;
|
||||
if let Ok(result) = &result {
|
||||
let num_bytes = result.range.end - result.range.start;
|
||||
self.record_read(num_bytes);
|
||||
self.record_read(num_bytes as u64);
|
||||
}
|
||||
result
|
||||
}
|
||||
@@ -128,7 +128,7 @@ impl ObjectStore for IoTrackingStore {
|
||||
let result = self.target.get_opts(location, options).await;
|
||||
if let Ok(result) = &result {
|
||||
let num_bytes = result.range.end - result.range.start;
|
||||
self.record_read(num_bytes);
|
||||
self.record_read(num_bytes as u64);
|
||||
}
|
||||
result
|
||||
}
|
||||
|
||||
@@ -57,8 +57,6 @@ use crate::{
|
||||
};
|
||||
|
||||
const REQUEST_TIMEOUT_HEADER: HeaderName = HeaderName::from_static("x-request-timeout-ms");
|
||||
const METRIC_TYPE_KEY: &str = "metric_type";
|
||||
const INDEX_TYPE_KEY: &str = "index_type";
|
||||
|
||||
pub struct RemoteTags<'a, S: HttpSend = Sender> {
|
||||
inner: &'a RemoteTable<S>,
|
||||
@@ -999,53 +997,23 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
|
||||
"column": column
|
||||
});
|
||||
|
||||
match index.index {
|
||||
let (index_type, distance_type) = match index.index {
|
||||
// TODO: Should we pass the actual index parameters? SaaS does not
|
||||
// yet support them.
|
||||
Index::IvfFlat(index) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_FLAT".to_string());
|
||||
body[METRIC_TYPE_KEY] =
|
||||
serde_json::Value::String(index.distance_type.to_string().to_lowercase());
|
||||
if let Some(num_partitions) = index.num_partitions {
|
||||
body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
|
||||
}
|
||||
}
|
||||
Index::IvfPq(index) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_PQ".to_string());
|
||||
body[METRIC_TYPE_KEY] =
|
||||
serde_json::Value::String(index.distance_type.to_string().to_lowercase());
|
||||
if let Some(num_partitions) = index.num_partitions {
|
||||
body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
|
||||
}
|
||||
if let Some(num_bits) = index.num_bits {
|
||||
body["num_bits"] = serde_json::Value::Number(num_bits.into());
|
||||
}
|
||||
}
|
||||
Index::IvfHnswSq(index) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_HNSW_SQ".to_string());
|
||||
body[METRIC_TYPE_KEY] =
|
||||
serde_json::Value::String(index.distance_type.to_string().to_lowercase());
|
||||
if let Some(num_partitions) = index.num_partitions {
|
||||
body["num_partitions"] = serde_json::Value::Number(num_partitions.into());
|
||||
}
|
||||
}
|
||||
Index::BTree(_) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("BTREE".to_string());
|
||||
}
|
||||
Index::Bitmap(_) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("BITMAP".to_string());
|
||||
}
|
||||
Index::LabelList(_) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("LABEL_LIST".to_string());
|
||||
}
|
||||
Index::IvfFlat(index) => ("IVF_FLAT", Some(index.distance_type)),
|
||||
Index::IvfPq(index) => ("IVF_PQ", Some(index.distance_type)),
|
||||
Index::IvfHnswSq(index) => ("IVF_HNSW_SQ", Some(index.distance_type)),
|
||||
Index::BTree(_) => ("BTREE", None),
|
||||
Index::Bitmap(_) => ("BITMAP", None),
|
||||
Index::LabelList(_) => ("LABEL_LIST", None),
|
||||
Index::FTS(fts) => {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("FTS".to_string());
|
||||
let params = serde_json::to_value(&fts).map_err(|e| Error::InvalidInput {
|
||||
message: format!("failed to serialize FTS index params {:?}", e),
|
||||
})?;
|
||||
for (key, value) in params.as_object().unwrap() {
|
||||
body[key] = value.clone();
|
||||
}
|
||||
("FTS", None)
|
||||
}
|
||||
Index::Auto => {
|
||||
let schema = self.schema().await?;
|
||||
@@ -1055,11 +1023,9 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
|
||||
message: format!("Column {} not found in schema", column),
|
||||
})?;
|
||||
if supported_vector_data_type(field.data_type()) {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("IVF_PQ".to_string());
|
||||
body[METRIC_TYPE_KEY] =
|
||||
serde_json::Value::String(DistanceType::L2.to_string().to_lowercase());
|
||||
("IVF_PQ", Some(DistanceType::L2))
|
||||
} else if supported_btree_data_type(field.data_type()) {
|
||||
body[INDEX_TYPE_KEY] = serde_json::Value::String("BTREE".to_string());
|
||||
("BTREE", None)
|
||||
} else {
|
||||
return Err(Error::NotSupported {
|
||||
message: format!(
|
||||
@@ -1076,6 +1042,12 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
|
||||
})
|
||||
}
|
||||
};
|
||||
body["index_type"] = serde_json::Value::String(index_type.into());
|
||||
if let Some(distance_type) = distance_type {
|
||||
// Phalanx expects this to be lowercase right now.
|
||||
body["metric_type"] =
|
||||
serde_json::Value::String(distance_type.to_string().to_lowercase());
|
||||
}
|
||||
|
||||
let request = request.json(&body);
|
||||
|
||||
@@ -1457,12 +1429,11 @@ mod tests {
|
||||
use chrono::{DateTime, Utc};
|
||||
use futures::{future::BoxFuture, StreamExt, TryFutureExt};
|
||||
use lance_index::scalar::inverted::query::MatchQuery;
|
||||
use lance_index::scalar::{FullTextSearchQuery, InvertedIndexParams};
|
||||
use lance_index::scalar::FullTextSearchQuery;
|
||||
use reqwest::Body;
|
||||
use rstest::rstest;
|
||||
use serde_json::json;
|
||||
|
||||
use crate::index::vector::{IvfFlatIndexBuilder, IvfHnswSqIndexBuilder};
|
||||
use crate::index::vector::IvfFlatIndexBuilder;
|
||||
use crate::remote::db::DEFAULT_SERVER_VERSION;
|
||||
use crate::remote::JSON_CONTENT_TYPE;
|
||||
use crate::{
|
||||
@@ -2462,79 +2433,29 @@ mod tests {
|
||||
let cases = [
|
||||
(
|
||||
"IVF_FLAT",
|
||||
json!({
|
||||
"metric_type": "hamming",
|
||||
}),
|
||||
Some("hamming"),
|
||||
Index::IvfFlat(IvfFlatIndexBuilder::default().distance_type(DistanceType::Hamming)),
|
||||
),
|
||||
(
|
||||
"IVF_FLAT",
|
||||
json!({
|
||||
"metric_type": "hamming",
|
||||
"num_partitions": 128,
|
||||
}),
|
||||
Index::IvfFlat(
|
||||
IvfFlatIndexBuilder::default()
|
||||
.distance_type(DistanceType::Hamming)
|
||||
.num_partitions(128),
|
||||
),
|
||||
),
|
||||
("IVF_PQ", Some("l2"), Index::IvfPq(Default::default())),
|
||||
(
|
||||
"IVF_PQ",
|
||||
json!({
|
||||
"metric_type": "l2",
|
||||
}),
|
||||
Index::IvfPq(Default::default()),
|
||||
),
|
||||
(
|
||||
"IVF_PQ",
|
||||
json!({
|
||||
"metric_type": "cosine",
|
||||
"num_partitions": 128,
|
||||
"num_bits": 4,
|
||||
}),
|
||||
Index::IvfPq(
|
||||
IvfPqIndexBuilder::default()
|
||||
.distance_type(DistanceType::Cosine)
|
||||
.num_partitions(128)
|
||||
.num_bits(4),
|
||||
),
|
||||
Some("cosine"),
|
||||
Index::IvfPq(IvfPqIndexBuilder::default().distance_type(DistanceType::Cosine)),
|
||||
),
|
||||
(
|
||||
"IVF_HNSW_SQ",
|
||||
json!({
|
||||
"metric_type": "l2",
|
||||
}),
|
||||
Some("l2"),
|
||||
Index::IvfHnswSq(Default::default()),
|
||||
),
|
||||
(
|
||||
"IVF_HNSW_SQ",
|
||||
json!({
|
||||
"metric_type": "l2",
|
||||
"num_partitions": 128,
|
||||
}),
|
||||
Index::IvfHnswSq(
|
||||
IvfHnswSqIndexBuilder::default()
|
||||
.distance_type(DistanceType::L2)
|
||||
.num_partitions(128),
|
||||
),
|
||||
),
|
||||
// HNSW_PQ isn't yet supported on SaaS
|
||||
("BTREE", json!({}), Index::BTree(Default::default())),
|
||||
("BITMAP", json!({}), Index::Bitmap(Default::default())),
|
||||
(
|
||||
"LABEL_LIST",
|
||||
json!({}),
|
||||
Index::LabelList(Default::default()),
|
||||
),
|
||||
(
|
||||
"FTS",
|
||||
serde_json::to_value(InvertedIndexParams::default()).unwrap(),
|
||||
Index::FTS(Default::default()),
|
||||
),
|
||||
("BTREE", None, Index::BTree(Default::default())),
|
||||
("BITMAP", None, Index::Bitmap(Default::default())),
|
||||
("LABEL_LIST", None, Index::LabelList(Default::default())),
|
||||
("FTS", None, Index::FTS(Default::default())),
|
||||
];
|
||||
|
||||
for (index_type, expected_body, index) in cases {
|
||||
for (index_type, distance_type, index) in cases {
|
||||
let params = index.clone();
|
||||
let table = Table::new_with_handler("my_table", move |request| {
|
||||
assert_eq!(request.method(), "POST");
|
||||
assert_eq!(request.url().path(), "/v1/table/my_table/create_index/");
|
||||
@@ -2544,9 +2465,19 @@ mod tests {
|
||||
);
|
||||
let body = request.body().unwrap().as_bytes().unwrap();
|
||||
let body: serde_json::Value = serde_json::from_slice(body).unwrap();
|
||||
let mut expected_body = expected_body.clone();
|
||||
expected_body["column"] = "a".into();
|
||||
expected_body[INDEX_TYPE_KEY] = index_type.into();
|
||||
let mut expected_body = serde_json::json!({
|
||||
"column": "a",
|
||||
"index_type": index_type,
|
||||
});
|
||||
if let Some(distance_type) = distance_type {
|
||||
expected_body["metric_type"] = distance_type.to_lowercase().into();
|
||||
}
|
||||
if let Index::FTS(fts) = ¶ms {
|
||||
let params = serde_json::to_value(fts).unwrap();
|
||||
for (key, value) in params.as_object().unwrap() {
|
||||
expected_body[key] = value.clone();
|
||||
}
|
||||
}
|
||||
|
||||
assert_eq!(body, expected_body);
|
||||
|
||||
|
||||
@@ -392,18 +392,9 @@ pub mod tests {
|
||||
} else {
|
||||
expected_line.trim()
|
||||
};
|
||||
assert_eq!(
|
||||
&actual_trimmed[..expected_trimmed.len()],
|
||||
expected_trimmed,
|
||||
"\nactual:\n{physical_plan}\nexpected:\n{expected}"
|
||||
);
|
||||
assert_eq!(&actual_trimmed[..expected_trimmed.len()], expected_trimmed);
|
||||
}
|
||||
assert_eq!(
|
||||
lines_checked,
|
||||
expected.lines().count(),
|
||||
"\nlines_checked:\n{lines_checked}\nexpected:\n{}",
|
||||
expected.lines().count()
|
||||
);
|
||||
assert_eq!(lines_checked, expected.lines().count());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -486,9 +477,9 @@ pub mod tests {
|
||||
TestFixture::check_plan(
|
||||
plan,
|
||||
"MetadataEraserExec
|
||||
RepartitionExec:...
|
||||
CoalesceBatchesExec:...
|
||||
FilterExec: i@0 >= 5
|
||||
RepartitionExec:...
|
||||
ProjectionExec:...
|
||||
LanceScan:...",
|
||||
)
|
||||
|
||||
@@ -129,9 +129,7 @@ impl DatasetRef {
|
||||
dataset: ref mut ds,
|
||||
..
|
||||
} => {
|
||||
if dataset.manifest().version > ds.manifest().version {
|
||||
*ds = dataset;
|
||||
}
|
||||
*ds = dataset;
|
||||
}
|
||||
_ => unreachable!("Dataset should be in latest mode at this point"),
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user