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20 Commits
python-v0.
...
python-v0.
| Author | SHA1 | Date | |
|---|---|---|---|
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728ef8657d | ||
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0b13901a16 | ||
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84b110e0ef |
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
|
||||
current_version = "0.17.0"
|
||||
current_version = "0.18.0-beta.0"
|
||||
parse = """(?x)
|
||||
(?P<major>0|[1-9]\\d*)\\.
|
||||
(?P<minor>0|[1-9]\\d*)\\.
|
||||
|
||||
48
.github/workflows/python.yml
vendored
48
.github/workflows/python.yml
vendored
@@ -33,13 +33,14 @@ jobs:
|
||||
python-version: "3.12"
|
||||
- name: Install ruff
|
||||
run: |
|
||||
pip install ruff==0.8.4
|
||||
pip install ruff==0.9.9
|
||||
- name: Format check
|
||||
run: ruff format --check .
|
||||
- name: Lint
|
||||
run: ruff check .
|
||||
doctest:
|
||||
name: "Doctest"
|
||||
|
||||
type-check:
|
||||
name: "Type Check"
|
||||
timeout-minutes: 30
|
||||
runs-on: "ubuntu-22.04"
|
||||
defaults:
|
||||
@@ -54,7 +55,36 @@ jobs:
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.11"
|
||||
python-version: "3.12"
|
||||
- name: Install protobuf compiler
|
||||
run: |
|
||||
sudo apt update
|
||||
sudo apt install -y protobuf-compiler
|
||||
pip install toml
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
python ../ci/parse_requirements.py pyproject.toml --extras dev,tests,embeddings > requirements.txt
|
||||
pip install -r requirements.txt
|
||||
- name: Run pyright
|
||||
run: pyright
|
||||
|
||||
doctest:
|
||||
name: "Doctest"
|
||||
timeout-minutes: 30
|
||||
runs-on: "ubuntu-24.04"
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
working-directory: python
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
fetch-depth: 0
|
||||
lfs: true
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.12"
|
||||
cache: "pip"
|
||||
- name: Install protobuf
|
||||
run: |
|
||||
@@ -75,8 +105,8 @@ jobs:
|
||||
timeout-minutes: 30
|
||||
strategy:
|
||||
matrix:
|
||||
python-minor-version: ["9", "11"]
|
||||
runs-on: "ubuntu-22.04"
|
||||
python-minor-version: ["9", "12"]
|
||||
runs-on: "ubuntu-24.04"
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
@@ -127,7 +157,7 @@ jobs:
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.11"
|
||||
python-version: "3.12"
|
||||
- uses: Swatinem/rust-cache@v2
|
||||
with:
|
||||
workspaces: python
|
||||
@@ -157,7 +187,7 @@ jobs:
|
||||
- name: Set up Python
|
||||
uses: actions/setup-python@v5
|
||||
with:
|
||||
python-version: "3.11"
|
||||
python-version: "3.12"
|
||||
- uses: Swatinem/rust-cache@v2
|
||||
with:
|
||||
workspaces: python
|
||||
@@ -168,7 +198,7 @@ jobs:
|
||||
run: rm -rf target/wheels
|
||||
pydantic1x:
|
||||
timeout-minutes: 30
|
||||
runs-on: "ubuntu-22.04"
|
||||
runs-on: "ubuntu-24.04"
|
||||
defaults:
|
||||
run:
|
||||
shell: bash
|
||||
|
||||
16
.github/workflows/rust.yml
vendored
16
.github/workflows/rust.yml
vendored
@@ -184,15 +184,17 @@ jobs:
|
||||
steps:
|
||||
- name: Checkout
|
||||
uses: actions/checkout@v4
|
||||
- name: Install dependencies
|
||||
- name: Install dependencies (part 1)
|
||||
run: |
|
||||
set -e
|
||||
apk add protobuf-dev curl clang lld llvm19 grep npm bash msitools sed
|
||||
|
||||
curl --proto '=https' --tlsv1.3 -sSf https://raw.githubusercontent.com/rust-lang/rustup/refs/heads/master/rustup-init.sh | sh -s -- -y
|
||||
source $HOME/.cargo/env
|
||||
rustup target add aarch64-pc-windows-msvc
|
||||
|
||||
- name: Install rust
|
||||
uses: actions-rust-lang/setup-rust-toolchain@v1
|
||||
with:
|
||||
target: aarch64-pc-windows-msvc
|
||||
- name: Install dependencies (part 2)
|
||||
run: |
|
||||
set -e
|
||||
mkdir -p sysroot
|
||||
cd sysroot
|
||||
sh ../ci/sysroot-aarch64-pc-windows-msvc.sh
|
||||
@@ -264,7 +266,7 @@ jobs:
|
||||
- name: Install Rust
|
||||
run: |
|
||||
Invoke-WebRequest https://win.rustup.rs/x86_64 -OutFile rustup-init.exe
|
||||
.\rustup-init.exe -y --default-host aarch64-pc-windows-msvc
|
||||
.\rustup-init.exe -y --default-host aarch64-pc-windows-msvc --default-toolchain 1.83.0
|
||||
shell: powershell
|
||||
- name: Add Rust to PATH
|
||||
run: |
|
||||
|
||||
@@ -1,21 +1,27 @@
|
||||
repos:
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
- repo: https://github.com/pre-commit/pre-commit-hooks
|
||||
rev: v3.2.0
|
||||
hooks:
|
||||
- id: check-yaml
|
||||
- id: end-of-file-fixer
|
||||
- id: trailing-whitespace
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
- id: check-yaml
|
||||
- id: end-of-file-fixer
|
||||
- id: trailing-whitespace
|
||||
- repo: https://github.com/astral-sh/ruff-pre-commit
|
||||
# Ruff version.
|
||||
rev: v0.8.4
|
||||
rev: v0.9.9
|
||||
hooks:
|
||||
- id: ruff
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: local-biome-check
|
||||
name: biome check
|
||||
entry: npx @biomejs/biome@1.8.3 check --config-path nodejs/biome.json nodejs/
|
||||
language: system
|
||||
types: [text]
|
||||
files: "nodejs/.*"
|
||||
exclude: nodejs/lancedb/native.d.ts|nodejs/dist/.*|nodejs/examples/.*
|
||||
- id: ruff
|
||||
# - repo: https://github.com/RobertCraigie/pyright-python
|
||||
# rev: v1.1.395
|
||||
# hooks:
|
||||
# - id: pyright
|
||||
# args: ["--project", "python"]
|
||||
# additional_dependencies: [pyarrow-stubs]
|
||||
- repo: local
|
||||
hooks:
|
||||
- id: local-biome-check
|
||||
name: biome check
|
||||
entry: npx @biomejs/biome@1.8.3 check --config-path nodejs/biome.json nodejs/
|
||||
language: system
|
||||
types: [text]
|
||||
files: "nodejs/.*"
|
||||
exclude: nodejs/lancedb/native.d.ts|nodejs/dist/.*|nodejs/examples/.*
|
||||
|
||||
366
Cargo.lock
generated
366
Cargo.lock
generated
@@ -176,9 +176,9 @@ checksum = "7c02d123df017efcdfbd739ef81735b36c5ba83ec3c59c80a9d7ecc718f92e50"
|
||||
|
||||
[[package]]
|
||||
name = "arrow"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "eaf3437355979f1e93ba84ba108c38be5767713051f3c8ffbf07c094e2e61f9f"
|
||||
checksum = "dc208515aa0151028e464cc94a692156e945ce5126abd3537bb7fd6ba2143ed1"
|
||||
dependencies = [
|
||||
"arrow-arith",
|
||||
"arrow-array",
|
||||
@@ -198,24 +198,23 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-arith"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "31dce77d2985522288edae7206bffd5fc4996491841dda01a13a58415867e681"
|
||||
checksum = "e07e726e2b3f7816a85c6a45b6ec118eeeabf0b2a8c208122ad949437181f49a"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
"arrow-data",
|
||||
"arrow-schema",
|
||||
"chrono",
|
||||
"half",
|
||||
"num",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "arrow-array"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2d45fe6d3faed0435b7313e59a02583b14c6c6339fa7729e94c32a20af319a79"
|
||||
checksum = "a2262eba4f16c78496adfd559a29fe4b24df6088efc9985a873d58e92be022d5"
|
||||
dependencies = [
|
||||
"ahash",
|
||||
"arrow-buffer",
|
||||
@@ -230,9 +229,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-buffer"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "2b02656a35cc103f28084bc80a0159668e0a680d919cef127bd7e0aaccb06ec1"
|
||||
checksum = "4e899dade2c3b7f5642eb8366cfd898958bcca099cde6dfea543c7e8d3ad88d4"
|
||||
dependencies = [
|
||||
"bytes",
|
||||
"half",
|
||||
@@ -241,9 +240,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-cast"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c73c6233c5b5d635a56f6010e6eb1ab9e30e94707db21cea03da317f67d84cf3"
|
||||
checksum = "4103d88c5b441525ed4ac23153be7458494c2b0c9a11115848fdb9b81f6f886a"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
@@ -262,28 +261,25 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-csv"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "ec222848d70fea5a32af9c3602b08f5d740d5e2d33fbd76bf6fd88759b5b13a7"
|
||||
checksum = "43d3cb0914486a3cae19a5cad2598e44e225d53157926d0ada03c20521191a65"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
"arrow-cast",
|
||||
"arrow-data",
|
||||
"arrow-schema",
|
||||
"chrono",
|
||||
"csv",
|
||||
"csv-core",
|
||||
"lazy_static",
|
||||
"lexical-core",
|
||||
"regex",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "arrow-data"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "b7f2861ffa86f107b8ab577d86cff7c7a490243eabe961ba1e1af4f27542bb79"
|
||||
checksum = "0a329fb064477c9ec5f0870d2f5130966f91055c7c5bce2b3a084f116bc28c3b"
|
||||
dependencies = [
|
||||
"arrow-buffer",
|
||||
"arrow-schema",
|
||||
@@ -293,13 +289,12 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-ipc"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0270dc511f11bb5fa98a25020ad51a99ca5b08d8a8dfbd17503bb9dba0388f0b"
|
||||
checksum = "ddecdeab02491b1ce88885986e25002a3da34dd349f682c7cfe67bab7cc17b86"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
"arrow-cast",
|
||||
"arrow-data",
|
||||
"arrow-schema",
|
||||
"flatbuffers",
|
||||
@@ -309,9 +304,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-json"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "0eff38eeb8a971ad3a4caf62c5d57f0cff8a48b64a55e3207c4fd696a9234aad"
|
||||
checksum = "d03b9340013413eb84868682ace00a1098c81a5ebc96d279f7ebf9a4cac3c0fd"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
@@ -329,26 +324,23 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-ord"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "c6f202a879d287099139ff0d121e7f55ae5e0efe634b8cf2106ebc27a8715dee"
|
||||
checksum = "f841bfcc1997ef6ac48ee0305c4dfceb1f7c786fe31e67c1186edf775e1f1160"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
"arrow-data",
|
||||
"arrow-schema",
|
||||
"arrow-select",
|
||||
"half",
|
||||
"num",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "arrow-row"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a8f936954991c360ba762dff23f5dda16300774fafd722353d9683abd97630ae"
|
||||
checksum = "1eeb55b0a0a83851aa01f2ca5ee5648f607e8506ba6802577afdda9d75cdedcd"
|
||||
dependencies = [
|
||||
"ahash",
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
"arrow-data",
|
||||
@@ -358,18 +350,18 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-schema"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "9579b9d8bce47aa41389fe344f2c6758279983b7c0ebb4013e283e3e91bb450e"
|
||||
checksum = "85934a9d0261e0fa5d4e2a5295107d743b543a6e0484a835d4b8db2da15306f9"
|
||||
dependencies = [
|
||||
"bitflags 2.8.0",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "arrow-select"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "7471ba126d0b0aaa24b50a36bc6c25e4e74869a1fd1a5553357027a0b1c8d1f1"
|
||||
checksum = "7e2932aece2d0c869dd2125feb9bd1709ef5c445daa3838ac4112dcfa0fda52c"
|
||||
dependencies = [
|
||||
"ahash",
|
||||
"arrow-array",
|
||||
@@ -381,9 +373,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "arrow-string"
|
||||
version = "53.4.0"
|
||||
version = "54.2.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "72993b01cb62507b06f1fb49648d7286c8989ecfabdb7b77a750fcb54410731b"
|
||||
checksum = "912e38bd6a7a7714c1d9b61df80315685553b7455e8a6045c27531d8ecd5b458"
|
||||
dependencies = [
|
||||
"arrow-array",
|
||||
"arrow-buffer",
|
||||
@@ -1708,9 +1700,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "datafusion"
|
||||
version = "44.0.0"
|
||||
version = "45.0.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "014fc8c384ecacedaabb3bc8359c2a6c6e9d8f7bea65be3434eccacfc37f52d9"
|
||||
checksum = "eae420e7a5b0b7f1c39364cc76cbcd0f5fdc416b2514ae3847c2676bbd60702a"
|
||||
dependencies = [
|
||||
"arrow",
|
||||
"arrow-array",
|
||||
@@ -1719,7 +1711,6 @@ dependencies = [
|
||||
"async-trait",
|
||||
"bytes",
|
||||
"chrono",
|
||||
"dashmap",
|
||||
"datafusion-catalog",
|
||||
"datafusion-common",
|
||||
"datafusion-common-runtime",
|
||||
@@ -1738,7 +1729,7 @@ dependencies = [
|
||||
"datafusion-sql",
|
||||
"futures",
|
||||
"glob",
|
||||
"itertools 0.13.0",
|
||||
"itertools 0.14.0",
|
||||
"log",
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3647,8 +3655,9 @@ dependencies = [
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||||
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3673,8 +3682,9 @@ dependencies = [
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
@@ -3747,8 +3758,9 @@ dependencies = [
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
"arrow",
|
||||
"arrow-array",
|
||||
@@ -3800,8 +3812,9 @@ dependencies = [
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3839,8 +3852,9 @@ dependencies = [
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
"arrow-array",
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||||
"arrow-ord",
|
||||
@@ -3863,8 +3877,9 @@ dependencies = [
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
"arrow",
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||||
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||||
@@ -3903,8 +3918,9 @@ dependencies = [
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||||
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||||
[[package]]
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||||
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||||
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||||
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||||
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||||
"arrow-array",
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||||
"arrow-schema",
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||||
@@ -3915,7 +3931,7 @@ dependencies = [
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -3969,6 +3985,8 @@ dependencies = [
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||||
"random_word",
|
||||
"regex",
|
||||
"reqwest",
|
||||
"rstest",
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||||
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||||
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||||
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||||
"serde_with",
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||||
@@ -3999,7 +4017,7 @@ dependencies = [
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||||
|
||||
[[package]]
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||||
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||||
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||||
version = "0.18.0-beta.0"
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||||
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||||
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||||
"arrow-ipc",
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||||
@@ -4024,7 +4042,7 @@ dependencies = [
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||||
|
||||
[[package]]
|
||||
name = "lancedb-nodejs"
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||||
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||||
version = "0.18.0-beta.0"
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||||
dependencies = [
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||||
"arrow-array",
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||||
"arrow-ipc",
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||||
@@ -4042,7 +4060,7 @@ dependencies = [
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||||
|
||||
[[package]]
|
||||
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||||
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||||
version = "0.21.0-beta.1"
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||||
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||||
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||||
"env_logger",
|
||||
@@ -4051,7 +4069,7 @@ dependencies = [
|
||||
"pin-project",
|
||||
"pyo3",
|
||||
"pyo3-async-runtimes",
|
||||
"pyo3-build-config 0.20.3",
|
||||
"pyo3-build-config",
|
||||
"tokio",
|
||||
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|
||||
|
||||
@@ -4972,23 +4990,13 @@ version = "0.4.1"
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||||
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||||
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
[[package]]
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||||
name = "petgraph"
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||||
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||||
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||||
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||||
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||||
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||||
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||||
@@ -5506,7 +5514,7 @@ dependencies = [
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||||
"log",
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||||
"multimap",
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||||
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|
||||
"petgraph 0.7.1",
|
||||
"petgraph",
|
||||
"prettyplease",
|
||||
"prost",
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||||
"prost-types",
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||||
@@ -5560,9 +5568,9 @@ dependencies = [
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
dependencies = [
|
||||
"cfg-if",
|
||||
"indoc",
|
||||
@@ -5570,7 +5578,7 @@ dependencies = [
|
||||
"memoffset",
|
||||
"once_cell",
|
||||
"portable-atomic",
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||||
"pyo3-build-config 0.22.6",
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||||
"pyo3-build-config",
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||||
"pyo3-ffi",
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||||
"pyo3-macros",
|
||||
"unindent",
|
||||
@@ -5578,9 +5586,9 @@ dependencies = [
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||||
|
||||
[[package]]
|
||||
name = "pyo3-async-runtimes"
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||||
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||||
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||||
dependencies = [
|
||||
"futures",
|
||||
"once_cell",
|
||||
@@ -5592,9 +5600,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "pyo3-async-runtimes-macros"
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||||
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||||
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||||
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||||
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||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
@@ -5603,19 +5611,9 @@ dependencies = [
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||||
|
||||
[[package]]
|
||||
name = "pyo3-build-config"
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||||
dependencies = [
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||||
"once_cell",
|
||||
"target-lexicon",
|
||||
]
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||||
|
||||
[[package]]
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||||
name = "pyo3-build-config"
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version = "0.22.6"
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||||
source = "registry+https://github.com/rust-lang/crates.io-index"
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||||
checksum = "b14b5775b5ff446dd1056212d778012cbe8a0fbffd368029fd9e25b514479c38"
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||||
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||||
dependencies = [
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||||
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|
||||
"target-lexicon",
|
||||
@@ -5623,19 +5621,19 @@ dependencies = [
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||||
|
||||
[[package]]
|
||||
name = "pyo3-ffi"
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||||
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||||
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||||
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||||
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||||
|
||||
[[package]]
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||||
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||||
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||||
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|
||||
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|
||||
@@ -5645,13 +5643,13 @@ dependencies = [
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
"pyo3-build-config",
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||||
"quote",
|
||||
"syn 2.0.98",
|
||||
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||||
@@ -5938,6 +5936,12 @@ version = "0.8.5"
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||||
source = "registry+https://github.com/rust-lang/crates.io-index"
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||||
checksum = "2b15c43186be67a4fd63bee50d0303afffcef381492ebe2c5d87f324e1b8815c"
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||||
|
||||
[[package]]
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||||
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||||
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||||
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||||
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|
||||
|
||||
[[package]]
|
||||
name = "reqwest"
|
||||
version = "0.12.12"
|
||||
@@ -6043,6 +6047,36 @@ dependencies = [
|
||||
"byteorder",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "rstest"
|
||||
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||||
source = "registry+https://github.com/rust-lang/crates.io-index"
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||||
checksum = "0a2c585be59b6b5dd66a9d2084aa1d8bd52fbdb806eafdeffb52791147862035"
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||||
dependencies = [
|
||||
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|
||||
"futures-timer",
|
||||
"rstest_macros",
|
||||
"rustc_version",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "rstest_macros"
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||||
version = "0.23.0"
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||||
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||||
checksum = "825ea780781b15345a146be27eaefb05085e337e869bff01b4306a4fd4a9ad5a"
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||||
dependencies = [
|
||||
"cfg-if",
|
||||
"glob",
|
||||
"proc-macro-crate",
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||||
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|
||||
"quote",
|
||||
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|
||||
"relative-path",
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||||
"rustc_version",
|
||||
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|
||||
"unicode-ident",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "rust-stemmers"
|
||||
version = "1.2.0"
|
||||
|
||||
47
Cargo.toml
47
Cargo.toml
@@ -21,32 +21,30 @@ categories = ["database-implementations"]
|
||||
rust-version = "1.78.0"
|
||||
|
||||
[workspace.dependencies]
|
||||
lance = { "version" = "=0.23.3", "features" = [
|
||||
"dynamodb",
|
||||
], git = "https://github.com/lancedb/lance.git", tag = "v0.23.3-beta.1" }
|
||||
lance-io = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-index = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-linalg = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-table = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-testing = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-datafusion = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance-encoding = { version = "=0.23.3", tag = "v0.23.3-beta.1", git = "https://github.com/lancedb/lance.git" }
|
||||
lance = { "version" = "=0.24.1", "features" = ["dynamodb"] }
|
||||
lance-io = { version = "=0.24.1" }
|
||||
lance-index = { version = "=0.24.1" }
|
||||
lance-linalg = { version = "=0.24.1" }
|
||||
lance-table = { version = "=0.24.1" }
|
||||
lance-testing = { version = "=0.24.1" }
|
||||
lance-datafusion = { version = "=0.24.1" }
|
||||
lance-encoding = { version = "=0.24.1" }
|
||||
# Note that this one does not include pyarrow
|
||||
arrow = { version = "53.2", optional = false }
|
||||
arrow-array = "53.2"
|
||||
arrow-data = "53.2"
|
||||
arrow-ipc = "53.2"
|
||||
arrow-ord = "53.2"
|
||||
arrow-schema = "53.2"
|
||||
arrow-arith = "53.2"
|
||||
arrow-cast = "53.2"
|
||||
arrow = { version = "54.1", optional = false }
|
||||
arrow-array = "54.1"
|
||||
arrow-data = "54.1"
|
||||
arrow-ipc = "54.1"
|
||||
arrow-ord = "54.1"
|
||||
arrow-schema = "54.1"
|
||||
arrow-arith = "54.1"
|
||||
arrow-cast = "54.1"
|
||||
async-trait = "0"
|
||||
datafusion = { version = "44.0", default-features = false }
|
||||
datafusion-catalog = "44.0"
|
||||
datafusion-common = { version = "44.0", default-features = false }
|
||||
datafusion-execution = "44.0"
|
||||
datafusion-expr = "44.0"
|
||||
datafusion-physical-plan = "44.0"
|
||||
datafusion = { version = "45.0", default-features = false }
|
||||
datafusion-catalog = "45.0"
|
||||
datafusion-common = { version = "45.0", default-features = false }
|
||||
datafusion-execution = "45.0"
|
||||
datafusion-expr = "45.0"
|
||||
datafusion-physical-plan = "45.0"
|
||||
env_logger = "0.11"
|
||||
half = { "version" = "=2.4.1", default-features = false, features = [
|
||||
"num-traits",
|
||||
@@ -62,6 +60,7 @@ num-traits = "0.2"
|
||||
rand = "0.8"
|
||||
regex = "1.10"
|
||||
lazy_static = "1"
|
||||
semver = "1.0.25"
|
||||
|
||||
# Temporary pins to work around downstream issues
|
||||
# https://github.com/apache/arrow-rs/commit/2fddf85afcd20110ce783ed5b4cdeb82293da30b
|
||||
|
||||
41
ci/parse_requirements.py
Normal file
41
ci/parse_requirements.py
Normal file
@@ -0,0 +1,41 @@
|
||||
import argparse
|
||||
import toml
|
||||
|
||||
|
||||
def parse_dependencies(pyproject_path, extras=None):
|
||||
with open(pyproject_path, "r") as file:
|
||||
pyproject = toml.load(file)
|
||||
|
||||
dependencies = pyproject.get("project", {}).get("dependencies", [])
|
||||
for dependency in dependencies:
|
||||
print(dependency)
|
||||
|
||||
optional_dependencies = pyproject.get("project", {}).get(
|
||||
"optional-dependencies", {}
|
||||
)
|
||||
|
||||
if extras:
|
||||
for extra in extras.split(","):
|
||||
for dep in optional_dependencies.get(extra, []):
|
||||
print(dep)
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(
|
||||
description="Generate requirements.txt from pyproject.toml"
|
||||
)
|
||||
parser.add_argument("path", type=str, help="Path to pyproject.toml")
|
||||
parser.add_argument(
|
||||
"--extras",
|
||||
type=str,
|
||||
help="Comma-separated list of extras to include",
|
||||
default="",
|
||||
)
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
parse_dependencies(args.path, args.extras)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -377,6 +377,7 @@ extra_css:
|
||||
|
||||
extra_javascript:
|
||||
- "extra_js/init_ask_ai_widget.js"
|
||||
- "extra_js/reo.js"
|
||||
|
||||
extra:
|
||||
analytics:
|
||||
|
||||
1
docs/src/extra_js/reo.js
Normal file
1
docs/src/extra_js/reo.js
Normal file
@@ -0,0 +1 @@
|
||||
!function(){var e,t,n;e="9627b71b382d201",t=function(){Reo.init({clientID:"9627b71b382d201"})},(n=document.createElement("script")).src="https://static.reo.dev/"+e+"/reo.js",n.defer=!0,n.onload=t,document.head.appendChild(n)}();
|
||||
@@ -8,7 +8,7 @@
|
||||
<parent>
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.17.0-final.0</version>
|
||||
<version>0.18.0-beta.0</version>
|
||||
<relativePath>../pom.xml</relativePath>
|
||||
</parent>
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.17.0-final.0</version>
|
||||
<version>0.18.0-beta.0</version>
|
||||
<packaging>pom</packaging>
|
||||
|
||||
<name>LanceDB Parent</name>
|
||||
|
||||
68
node/package-lock.json
generated
68
node/package-lock.json
generated
@@ -1,12 +1,12 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "vectordb",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
@@ -52,14 +52,14 @@
|
||||
"uuid": "^9.0.0"
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/vectordb-darwin-arm64": "0.17.0",
|
||||
"@lancedb/vectordb-darwin-x64": "0.17.0",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.17.0",
|
||||
"@lancedb/vectordb-linux-arm64-musl": "0.17.0",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.17.0",
|
||||
"@lancedb/vectordb-linux-x64-musl": "0.17.0",
|
||||
"@lancedb/vectordb-win32-arm64-msvc": "0.17.0",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.17.0"
|
||||
"@lancedb/vectordb-darwin-arm64": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-darwin-x64": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-arm64-musl": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-x64-musl": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-win32-arm64-msvc": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.18.0-beta.0"
|
||||
},
|
||||
"peerDependencies": {
|
||||
"@apache-arrow/ts": "^14.0.2",
|
||||
@@ -330,9 +330,9 @@
|
||||
}
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-darwin-arm64": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.17.0.tgz",
|
||||
"integrity": "sha512-QlTuaCGaqHLlMrDTqcMFTg2Y07pAQjBy10oIKqDv7qUk5Lo7OoPeTsBUJrTjOnxy+SqlU7UE1ZmuQBRSsScFvQ==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-arm64/-/vectordb-darwin-arm64-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-dLLgMPllYJOiRfPqkqkmoQu48RIa7K4dOF/qFP8Aex3zqeHE/0sFm3DYjtSFc6SR/6yT8u6Y9iFo2cQp5rCFJA==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
@@ -343,9 +343,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-darwin-x64": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.17.0.tgz",
|
||||
"integrity": "sha512-iAtZNgU9Rf+pmcNRW878uAw47+rLRRUip1Po+WKwdC/9pYpK+GEMqTjwftFhdGn5NAw4WWPWOzvBC3AGnmk0dA==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-darwin-x64/-/vectordb-darwin-x64-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-la0eauU0rzHO5eeVjBt8o/5UW4VzRYAuRA7nqUFLX5T6SWP5+UWjqusVVbWGz3ski+8uEX6VhlaFZP5uIJKGIg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
@@ -356,9 +356,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-arm64-gnu": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.17.0.tgz",
|
||||
"integrity": "sha512-F0el7nOhH9LNnbGpS3jR81Ge8BxLuSe5WGcQaneDIS3EAdEbVlMnNMFvcRye2OCIlWAMjXoXn+m0b5R736TaZA==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-gnu/-/vectordb-linux-arm64-gnu-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-AkXI/lB3yu1Di2G1lhilf89V6qPTppb13aAt+/6gU5/PSfA94y9VXD67D4WyvRbuQghJjDvAavMlWMrJc2NuMw==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
@@ -369,9 +369,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-arm64-musl": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-musl/-/vectordb-linux-arm64-musl-0.17.0.tgz",
|
||||
"integrity": "sha512-V1aCbIjvDIhVRzErpgMHZ0vLphHFHZFmxBD3tCfor9+ymTbgp6X5CWkocsRNKAXFZdfXGAXXkxdERvdcVCYAhw==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-arm64-musl/-/vectordb-linux-arm64-musl-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-kTVcJ4LA8w/7egY4m0EXOt8c1DeFUquVtyvexO+VzIFeeHfBkkrMI0DkE0CpHmk+gctkG7EY39jzjgLnPvppnw==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
@@ -382,9 +382,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-x64-gnu": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.17.0.tgz",
|
||||
"integrity": "sha512-t+3SiocM0RKUH9iwiJ2fXxk8dsWZai0ZmgbmbCpKGoyFcj8/9M36ecBO8SZlc65JmLXEnDcy8U8vwVnwJrWLvg==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-gnu/-/vectordb-linux-x64-gnu-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-KbtIy5DkaWTsKENm5Q27hjovrR7FRuoHhl0wDJtO/2CUZYlrskjEIfcfkfA2CrEQesBug4s5jgsvNM4Wcp6zoA==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
@@ -395,9 +395,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-linux-x64-musl": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-musl/-/vectordb-linux-x64-musl-0.17.0.tgz",
|
||||
"integrity": "sha512-beSMUj2n45XNeR7Jv+lsXJx6RuZaemy4aPif5+y0iRiD8SbrRLZ6WBaC4zydhYLXdo6XpnBwleZoemrWp5P3Dw==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-linux-x64-musl/-/vectordb-linux-x64-musl-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-SF07gmoGVExcF5v+IE6kBbCbXJSDyTgC7QCt+MDS1NsgoQ9OH7IyH7r6HJu16tKflUOUKlUHnP0hQOPpv1fWpg==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
@@ -408,9 +408,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-win32-arm64-msvc": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-arm64-msvc/-/vectordb-win32-arm64-msvc-0.17.0.tgz",
|
||||
"integrity": "sha512-yX4PLLVckWurBNbYvq/tKreBwEm09Rua28Y4yvFJRiV3X/RbOd7PDQcZBolsXUoDnuqBfNwmQDjGNvnWhgFk+Q==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-arm64-msvc/-/vectordb-win32-arm64-msvc-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-YYBuSBGDlxJgSI5gHjDmQo9sl05lAXfzil6QiKfgmUMsBtb2sT+GoUCgG6qzsfe99sWiTf+pMeWDsQgfrj9vNw==",
|
||||
"cpu": [
|
||||
"arm64"
|
||||
],
|
||||
@@ -421,9 +421,9 @@
|
||||
]
|
||||
},
|
||||
"node_modules/@lancedb/vectordb-win32-x64-msvc": {
|
||||
"version": "0.17.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.17.0.tgz",
|
||||
"integrity": "sha512-f5ZEZj5yvfL2wPeJKOtbvzmYUn/jg2ab0fukZQX2LTzMQIUQ0kAF6UwxinmMB4R33giNwhHEfrAMykbG/G0c4g==",
|
||||
"version": "0.18.0-beta.0",
|
||||
"resolved": "https://registry.npmjs.org/@lancedb/vectordb-win32-x64-msvc/-/vectordb-win32-x64-msvc-0.18.0-beta.0.tgz",
|
||||
"integrity": "sha512-t9TXeUnMU7YbP+/nUJpStm75aWwUydZj2AK+G2XwDtQrQo4Xg7/NETEbBeogmIOHuidNQYia8jEeQCUon5/+Dw==",
|
||||
"cpu": [
|
||||
"x64"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "vectordb",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"description": " Serverless, low-latency vector database for AI applications",
|
||||
"private": false,
|
||||
"main": "dist/index.js",
|
||||
@@ -92,13 +92,13 @@
|
||||
}
|
||||
},
|
||||
"optionalDependencies": {
|
||||
"@lancedb/vectordb-darwin-x64": "0.17.0",
|
||||
"@lancedb/vectordb-darwin-arm64": "0.17.0",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.17.0",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.17.0",
|
||||
"@lancedb/vectordb-linux-x64-musl": "0.17.0",
|
||||
"@lancedb/vectordb-linux-arm64-musl": "0.17.0",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.17.0",
|
||||
"@lancedb/vectordb-win32-arm64-msvc": "0.17.0"
|
||||
"@lancedb/vectordb-darwin-x64": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-darwin-arm64": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-x64-gnu": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-arm64-gnu": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-x64-musl": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-linux-arm64-musl": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-win32-x64-msvc": "0.18.0-beta.0",
|
||||
"@lancedb/vectordb-win32-arm64-msvc": "0.18.0-beta.0"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
name = "lancedb-nodejs"
|
||||
edition.workspace = true
|
||||
version = "0.17.0"
|
||||
version = "0.18.0-beta.0"
|
||||
license.workspace = true
|
||||
description.workspace = true
|
||||
repository.workspace = true
|
||||
|
||||
@@ -175,6 +175,8 @@ maybeDescribe("storage_options", () => {
|
||||
|
||||
tableNames = await db.tableNames();
|
||||
expect(tableNames).toEqual([]);
|
||||
|
||||
await db.dropAllTables();
|
||||
});
|
||||
|
||||
it("can configure encryption at connection and table level", async () => {
|
||||
@@ -210,6 +212,8 @@ maybeDescribe("storage_options", () => {
|
||||
await table.add([{ a: 2, b: 3 }]);
|
||||
|
||||
await bucket.assertAllEncrypted("test/table2.lance", kmsKey.keyId);
|
||||
|
||||
await db.dropAllTables();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -298,5 +302,32 @@ maybeDescribe("DynamoDB Lock", () => {
|
||||
|
||||
const rowCount = await table.countRows();
|
||||
expect(rowCount).toBe(6);
|
||||
|
||||
await db.dropAllTables();
|
||||
});
|
||||
|
||||
it("clears dynamodb state after dropping all tables", async () => {
|
||||
const uri = `s3+ddb://${bucket.name}/test?ddbTableName=${commitTable.name}`;
|
||||
const db = await connect(uri, {
|
||||
storageOptions: CONFIG,
|
||||
readConsistencyInterval: 0,
|
||||
});
|
||||
|
||||
await db.createTable("foo", [{ a: 1, b: 2 }]);
|
||||
await db.createTable("bar", [{ a: 1, b: 2 }]);
|
||||
|
||||
let tableNames = await db.tableNames();
|
||||
expect(tableNames).toEqual(["bar", "foo"]);
|
||||
|
||||
await db.dropAllTables();
|
||||
tableNames = await db.tableNames();
|
||||
expect(tableNames).toEqual([]);
|
||||
|
||||
// We can create a new table with the same name as the one we dropped.
|
||||
await db.createTable("foo", [{ a: 1, b: 2 }]);
|
||||
tableNames = await db.tableNames();
|
||||
expect(tableNames).toEqual(["foo"]);
|
||||
|
||||
await db.dropAllTables();
|
||||
});
|
||||
});
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-arm64",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["darwin"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.darwin-arm64.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-x64",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["darwin"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.darwin-x64.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-gnu",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-musl",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-gnu",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-musl",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-arm64-msvc",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-x64-msvc",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.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": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
"ann"
|
||||
],
|
||||
"private": false,
|
||||
"version": "0.17.0",
|
||||
"version": "0.18.0-beta.0",
|
||||
"main": "dist/index.js",
|
||||
"exports": {
|
||||
".": "./dist/index.js",
|
||||
|
||||
56
pyright_report.csv
Normal file
56
pyright_report.csv
Normal file
@@ -0,0 +1,56 @@
|
||||
file,errors,warnings,total_issues
|
||||
python/python/lancedb/arrow.py,0,0,0
|
||||
python/python/lancedb/background_loop.py,0,0,0
|
||||
python/python/lancedb/embeddings/__init__.py,0,0,0
|
||||
python/python/lancedb/exceptions.py,0,0,0
|
||||
python/python/lancedb/index.py,0,0,0
|
||||
python/python/lancedb/integrations/__init__.py,0,0,0
|
||||
python/python/lancedb/remote/__init__.py,0,0,0
|
||||
python/python/lancedb/remote/errors.py,0,0,0
|
||||
python/python/lancedb/rerankers/__init__.py,0,0,0
|
||||
python/python/lancedb/rerankers/answerdotai.py,0,0,0
|
||||
python/python/lancedb/rerankers/cohere.py,0,0,0
|
||||
python/python/lancedb/rerankers/colbert.py,0,0,0
|
||||
python/python/lancedb/rerankers/cross_encoder.py,0,0,0
|
||||
python/python/lancedb/rerankers/openai.py,0,0,0
|
||||
python/python/lancedb/rerankers/util.py,0,0,0
|
||||
python/python/lancedb/rerankers/voyageai.py,0,0,0
|
||||
python/python/lancedb/schema.py,0,0,0
|
||||
python/python/lancedb/types.py,0,0,0
|
||||
python/python/lancedb/__init__.py,0,1,1
|
||||
python/python/lancedb/conftest.py,1,0,1
|
||||
python/python/lancedb/embeddings/bedrock.py,1,0,1
|
||||
python/python/lancedb/merge.py,1,0,1
|
||||
python/python/lancedb/rerankers/base.py,1,0,1
|
||||
python/python/lancedb/rerankers/jinaai.py,0,1,1
|
||||
python/python/lancedb/rerankers/linear_combination.py,1,0,1
|
||||
python/python/lancedb/embeddings/instructor.py,2,0,2
|
||||
python/python/lancedb/embeddings/openai.py,2,0,2
|
||||
python/python/lancedb/embeddings/watsonx.py,2,0,2
|
||||
python/python/lancedb/embeddings/registry.py,3,0,3
|
||||
python/python/lancedb/embeddings/sentence_transformers.py,3,0,3
|
||||
python/python/lancedb/integrations/pyarrow.py,3,0,3
|
||||
python/python/lancedb/rerankers/rrf.py,3,0,3
|
||||
python/python/lancedb/dependencies.py,4,0,4
|
||||
python/python/lancedb/embeddings/gemini_text.py,4,0,4
|
||||
python/python/lancedb/embeddings/gte.py,4,0,4
|
||||
python/python/lancedb/embeddings/gte_mlx_model.py,4,0,4
|
||||
python/python/lancedb/embeddings/ollama.py,4,0,4
|
||||
python/python/lancedb/embeddings/transformers.py,4,0,4
|
||||
python/python/lancedb/remote/db.py,5,0,5
|
||||
python/python/lancedb/context.py,6,0,6
|
||||
python/python/lancedb/embeddings/cohere.py,6,0,6
|
||||
python/python/lancedb/fts.py,6,0,6
|
||||
python/python/lancedb/db.py,9,0,9
|
||||
python/python/lancedb/embeddings/utils.py,9,0,9
|
||||
python/python/lancedb/common.py,11,0,11
|
||||
python/python/lancedb/util.py,13,0,13
|
||||
python/python/lancedb/embeddings/imagebind.py,14,0,14
|
||||
python/python/lancedb/embeddings/voyageai.py,15,0,15
|
||||
python/python/lancedb/embeddings/open_clip.py,16,0,16
|
||||
python/python/lancedb/pydantic.py,16,0,16
|
||||
python/python/lancedb/embeddings/base.py,17,0,17
|
||||
python/python/lancedb/embeddings/jinaai.py,18,1,19
|
||||
python/python/lancedb/remote/table.py,23,0,23
|
||||
python/python/lancedb/query.py,47,1,48
|
||||
python/python/lancedb/table.py,61,0,61
|
||||
|
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
|
||||
current_version = "0.21.0-beta.0"
|
||||
current_version = "0.21.0"
|
||||
parse = """(?x)
|
||||
(?P<major>0|[1-9]\\d*)\\.
|
||||
(?P<minor>0|[1-9]\\d*)\\.
|
||||
|
||||
@@ -8,9 +8,9 @@ For general contribution guidelines, see [CONTRIBUTING.md](../CONTRIBUTING.md).
|
||||
The Python package is a wrapper around the Rust library, `lancedb`. We use
|
||||
[pyo3](https://pyo3.rs/) to create the bindings between Rust and Python.
|
||||
|
||||
* `src/`: Rust bindings source code
|
||||
* `python/lancedb`: Python package source code
|
||||
* `python/tests`: Unit tests
|
||||
- `src/`: Rust bindings source code
|
||||
- `python/lancedb`: Python package source code
|
||||
- `python/tests`: Unit tests
|
||||
|
||||
## Development environment
|
||||
|
||||
@@ -61,6 +61,12 @@ make test
|
||||
make doctest
|
||||
```
|
||||
|
||||
Run type checking:
|
||||
|
||||
```shell
|
||||
make typecheck
|
||||
```
|
||||
|
||||
To run a single test, you can use the `pytest` command directly. Provide the path
|
||||
to the test file, and optionally the test name after `::`.
|
||||
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-python"
|
||||
version = "0.21.0-beta.0"
|
||||
version = "0.21.0"
|
||||
edition.workspace = true
|
||||
description = "Python bindings for LanceDB"
|
||||
license.workspace = true
|
||||
@@ -14,21 +14,20 @@ name = "_lancedb"
|
||||
crate-type = ["cdylib"]
|
||||
|
||||
[dependencies]
|
||||
arrow = { version = "53.2", features = ["pyarrow"] }
|
||||
arrow = { version = "54.1", features = ["pyarrow"] }
|
||||
lancedb = { path = "../rust/lancedb", default-features = false }
|
||||
env_logger.workspace = true
|
||||
pyo3 = { version = "0.22.2", features = [
|
||||
"extension-module",
|
||||
"abi3-py39",
|
||||
"gil-refs"
|
||||
pyo3 = { version = "0.23", features = ["extension-module", "abi3-py39"] }
|
||||
pyo3-async-runtimes = { version = "0.23", features = [
|
||||
"attributes",
|
||||
"tokio-runtime",
|
||||
] }
|
||||
pyo3-async-runtimes = { version = "0.22", features = ["attributes", "tokio-runtime"] }
|
||||
pin-project = "1.1.5"
|
||||
futures.workspace = true
|
||||
tokio = { version = "1.40", features = ["sync"] }
|
||||
|
||||
[build-dependencies]
|
||||
pyo3-build-config = { version = "0.20.3", features = [
|
||||
pyo3-build-config = { version = "0.23", features = [
|
||||
"extension-module",
|
||||
"abi3-py39",
|
||||
] }
|
||||
|
||||
@@ -23,6 +23,10 @@ check: ## Check formatting and lints.
|
||||
fix: ## Fix python lints
|
||||
ruff check python --fix
|
||||
|
||||
.PHONY: typecheck
|
||||
typecheck: ## Run type checking with pyright.
|
||||
pyright
|
||||
|
||||
.PHONY: doctest
|
||||
doctest: ## Run documentation tests.
|
||||
pytest --doctest-modules python/lancedb
|
||||
@@ -30,3 +34,7 @@ doctest: ## Run documentation tests.
|
||||
.PHONY: test
|
||||
test: ## Run tests.
|
||||
pytest python/tests -vv --durations=10 -m "not slow and not s3_test"
|
||||
|
||||
.PHONY: clean
|
||||
clean:
|
||||
rm -rf data
|
||||
|
||||
@@ -4,8 +4,8 @@ name = "lancedb"
|
||||
dynamic = ["version"]
|
||||
dependencies = [
|
||||
"deprecation",
|
||||
"pylance~=0.23.2",
|
||||
"tqdm>=4.27.0",
|
||||
"pyarrow>=14",
|
||||
"pydantic>=1.10",
|
||||
"packaging",
|
||||
"overrides>=0.7",
|
||||
@@ -54,6 +54,7 @@ tests = [
|
||||
"polars>=0.19, <=1.3.0",
|
||||
"tantivy",
|
||||
"pyarrow-stubs",
|
||||
"pylance>=0.23.2",
|
||||
]
|
||||
dev = [
|
||||
"ruff",
|
||||
@@ -91,7 +92,7 @@ requires = ["maturin>=1.4"]
|
||||
build-backend = "maturin"
|
||||
|
||||
[tool.ruff.lint]
|
||||
select = ["F", "E", "W", "G", "TCH", "PERF"]
|
||||
select = ["F", "E", "W", "G", "PERF"]
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
addopts = "--strict-markers --ignore-glob=lancedb/embeddings/*.py"
|
||||
@@ -102,5 +103,28 @@ markers = [
|
||||
]
|
||||
|
||||
[tool.pyright]
|
||||
include = ["python/lancedb/table.py"]
|
||||
include = [
|
||||
"python/lancedb/index.py",
|
||||
"python/lancedb/rerankers/util.py",
|
||||
"python/lancedb/rerankers/__init__.py",
|
||||
"python/lancedb/rerankers/voyageai.py",
|
||||
"python/lancedb/rerankers/jinaai.py",
|
||||
"python/lancedb/rerankers/openai.py",
|
||||
"python/lancedb/rerankers/cross_encoder.py",
|
||||
"python/lancedb/rerankers/colbert.py",
|
||||
"python/lancedb/rerankers/answerdotai.py",
|
||||
"python/lancedb/rerankers/cohere.py",
|
||||
"python/lancedb/arrow.py",
|
||||
"python/lancedb/__init__.py",
|
||||
"python/lancedb/types.py",
|
||||
"python/lancedb/integrations/__init__.py",
|
||||
"python/lancedb/exceptions.py",
|
||||
"python/lancedb/background_loop.py",
|
||||
"python/lancedb/schema.py",
|
||||
"python/lancedb/remote/__init__.py",
|
||||
"python/lancedb/remote/errors.py",
|
||||
"python/lancedb/embeddings/__init__.py",
|
||||
"python/lancedb/_lancedb.pyi",
|
||||
]
|
||||
exclude = ["python/tests/"]
|
||||
pythonVersion = "3.12"
|
||||
|
||||
@@ -14,6 +14,7 @@ from ._lancedb import connect as lancedb_connect
|
||||
from .common import URI, sanitize_uri
|
||||
from .db import AsyncConnection, DBConnection, LanceDBConnection
|
||||
from .remote import ClientConfig
|
||||
from .remote.db import RemoteDBConnection
|
||||
from .schema import vector
|
||||
from .table import AsyncTable
|
||||
|
||||
@@ -86,8 +87,6 @@ def connect(
|
||||
conn : DBConnection
|
||||
A connection to a LanceDB database.
|
||||
"""
|
||||
from .remote.db import RemoteDBConnection
|
||||
|
||||
if isinstance(uri, str) and uri.startswith("db://"):
|
||||
if api_key is None:
|
||||
api_key = os.environ.get("LANCEDB_API_KEY")
|
||||
|
||||
@@ -3,6 +3,7 @@ from typing import Dict, List, Optional, Tuple, Any, Union, Literal
|
||||
import pyarrow as pa
|
||||
|
||||
from .index import BTree, IvfFlat, IvfPq, Bitmap, LabelList, HnswPq, HnswSq, FTS
|
||||
from .remote import ClientConfig
|
||||
|
||||
class Connection(object):
|
||||
uri: str
|
||||
@@ -71,11 +72,15 @@ async def connect(
|
||||
region: Optional[str],
|
||||
host_override: Optional[str],
|
||||
read_consistency_interval: Optional[float],
|
||||
client_config: Optional[Union[ClientConfig, Dict[str, Any]]],
|
||||
storage_options: Optional[Dict[str, str]],
|
||||
) -> Connection: ...
|
||||
|
||||
class RecordBatchStream:
|
||||
@property
|
||||
def schema(self) -> pa.Schema: ...
|
||||
async def next(self) -> Optional[pa.RecordBatch]: ...
|
||||
def __aiter__(self) -> "RecordBatchStream": ...
|
||||
async def __anext__(self) -> pa.RecordBatch: ...
|
||||
|
||||
class Query:
|
||||
def where(self, filter: str): ...
|
||||
@@ -142,6 +147,10 @@ class CompactionStats:
|
||||
files_removed: int
|
||||
files_added: int
|
||||
|
||||
class CleanupStats:
|
||||
bytes_removed: int
|
||||
old_versions: int
|
||||
|
||||
class RemovalStats:
|
||||
bytes_removed: int
|
||||
old_versions_removed: int
|
||||
|
||||
@@ -9,7 +9,8 @@ from typing import Any, Dict, Iterable, List, Optional, Union
|
||||
from urllib.parse import urlparse
|
||||
import warnings
|
||||
|
||||
from lancedb import connect_async
|
||||
# Remove this import to fix circular dependency
|
||||
# from lancedb import connect_async
|
||||
from lancedb.remote import ClientConfig
|
||||
import pyarrow as pa
|
||||
from overrides import override
|
||||
@@ -78,6 +79,9 @@ class RemoteDBConnection(DBConnection):
|
||||
|
||||
self.client_config = client_config
|
||||
|
||||
# Import connect_async here to avoid circular import
|
||||
from lancedb import connect_async
|
||||
|
||||
self._conn = LOOP.run(
|
||||
connect_async(
|
||||
db_url,
|
||||
|
||||
@@ -5,6 +5,7 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import inspect
|
||||
import deprecation
|
||||
import warnings
|
||||
from abc import ABC, abstractmethod
|
||||
from dataclasses import dataclass
|
||||
@@ -24,16 +25,15 @@ from typing import (
|
||||
)
|
||||
from urllib.parse import urlparse
|
||||
|
||||
import lance
|
||||
from . import __version__
|
||||
from lancedb.arrow import peek_reader
|
||||
from lancedb.background_loop import LOOP
|
||||
from .dependencies import _check_for_pandas
|
||||
from .dependencies import _check_for_hugging_face, _check_for_pandas
|
||||
import pyarrow as pa
|
||||
import pyarrow.compute as pc
|
||||
import pyarrow.fs as pa_fs
|
||||
import numpy as np
|
||||
from lance import LanceDataset
|
||||
from lance.dependencies import _check_for_hugging_face
|
||||
|
||||
from .common import DATA, VEC, VECTOR_COLUMN_NAME
|
||||
from .embeddings import EmbeddingFunctionConfig, EmbeddingFunctionRegistry
|
||||
@@ -66,24 +66,36 @@ from .index import lang_mapping
|
||||
|
||||
|
||||
if TYPE_CHECKING:
|
||||
from ._lancedb import Table as LanceDBTable, OptimizeStats, CompactionStats
|
||||
from ._lancedb import (
|
||||
Table as LanceDBTable,
|
||||
OptimizeStats,
|
||||
CleanupStats,
|
||||
CompactionStats,
|
||||
)
|
||||
from .db import LanceDBConnection
|
||||
from .index import IndexConfig
|
||||
from lance.dataset import CleanupStats, ReaderLike
|
||||
import pandas
|
||||
import PIL
|
||||
from .types import (
|
||||
QueryType,
|
||||
OnBadVectorsType,
|
||||
AddMode,
|
||||
CreateMode,
|
||||
VectorIndexType,
|
||||
ScalarIndexType,
|
||||
BaseTokenizerType,
|
||||
DistanceType,
|
||||
)
|
||||
|
||||
|
||||
pd = safe_import_pandas()
|
||||
pl = safe_import_polars()
|
||||
|
||||
QueryType = Literal["vector", "fts", "hybrid", "auto"]
|
||||
|
||||
|
||||
def _into_pyarrow_reader(data) -> pa.RecordBatchReader:
|
||||
if _check_for_hugging_face(data):
|
||||
# Huggingface datasets
|
||||
from lance.dependencies import datasets
|
||||
from lancedb.dependencies import datasets
|
||||
|
||||
if _check_for_hugging_face(data):
|
||||
if isinstance(data, datasets.Dataset):
|
||||
schema = data.features.arrow_schema
|
||||
return pa.RecordBatchReader.from_batches(schema, data.data.to_batches())
|
||||
@@ -175,7 +187,7 @@ def _sanitize_data(
|
||||
data: "DATA",
|
||||
target_schema: Optional[pa.Schema] = None,
|
||||
metadata: Optional[dict] = None, # embedding metadata
|
||||
on_bad_vectors: Literal["error", "drop", "fill", "null"] = "error",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
*,
|
||||
allow_subschema: bool = False,
|
||||
@@ -321,7 +333,7 @@ def sanitize_create_table(
|
||||
data,
|
||||
schema: Union[pa.Schema, LanceModel],
|
||||
metadata=None,
|
||||
on_bad_vectors: str = "error",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
):
|
||||
if inspect.isclass(schema) and issubclass(schema, LanceModel):
|
||||
@@ -573,9 +585,7 @@ class Table(ABC):
|
||||
accelerator: Optional[str] = None,
|
||||
index_cache_size: Optional[int] = None,
|
||||
*,
|
||||
index_type: Literal[
|
||||
"IVF_FLAT", "IVF_PQ", "IVF_HNSW_SQ", "IVF_HNSW_PQ"
|
||||
] = "IVF_PQ",
|
||||
index_type: VectorIndexType = "IVF_PQ",
|
||||
num_bits: int = 8,
|
||||
max_iterations: int = 50,
|
||||
sample_rate: int = 256,
|
||||
@@ -640,7 +650,7 @@ class Table(ABC):
|
||||
column: str,
|
||||
*,
|
||||
replace: bool = True,
|
||||
index_type: Literal["BTREE", "BITMAP", "LABEL_LIST"] = "BTREE",
|
||||
index_type: ScalarIndexType = "BTREE",
|
||||
):
|
||||
"""Create a scalar index on a column.
|
||||
|
||||
@@ -705,7 +715,7 @@ class Table(ABC):
|
||||
tokenizer_name: Optional[str] = None,
|
||||
with_position: bool = True,
|
||||
# tokenizer configs:
|
||||
base_tokenizer: Literal["simple", "raw", "whitespace"] = "simple",
|
||||
base_tokenizer: BaseTokenizerType = "simple",
|
||||
language: str = "English",
|
||||
max_token_length: Optional[int] = 40,
|
||||
lower_case: bool = True,
|
||||
@@ -774,8 +784,8 @@ class Table(ABC):
|
||||
def add(
|
||||
self,
|
||||
data: DATA,
|
||||
mode: str = "append",
|
||||
on_bad_vectors: str = "error",
|
||||
mode: AddMode = "append",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
):
|
||||
"""Add more data to the [Table](Table).
|
||||
@@ -957,7 +967,7 @@ class Table(ABC):
|
||||
self,
|
||||
merge: LanceMergeInsertBuilder,
|
||||
new_data: DATA,
|
||||
on_bad_vectors: str,
|
||||
on_bad_vectors: OnBadVectorsType,
|
||||
fill_value: float,
|
||||
): ...
|
||||
|
||||
@@ -1074,7 +1084,7 @@ class Table(ABC):
|
||||
older_than: Optional[timedelta] = None,
|
||||
*,
|
||||
delete_unverified: bool = False,
|
||||
) -> CleanupStats:
|
||||
) -> "CleanupStats":
|
||||
"""
|
||||
Clean up old versions of the table, freeing disk space.
|
||||
|
||||
@@ -1385,6 +1395,14 @@ class LanceTable(Table):
|
||||
|
||||
def to_lance(self, **kwargs) -> LanceDataset:
|
||||
"""Return the LanceDataset backing this table."""
|
||||
try:
|
||||
import lance
|
||||
except ImportError:
|
||||
raise ImportError(
|
||||
"The lance library is required to use this function. "
|
||||
"Please install with `pip install pylance`."
|
||||
)
|
||||
|
||||
return lance.dataset(
|
||||
self._dataset_path,
|
||||
version=self.version,
|
||||
@@ -1561,10 +1579,10 @@ class LanceTable(Table):
|
||||
|
||||
def create_index(
|
||||
self,
|
||||
metric="L2",
|
||||
metric: DistanceType = "l2",
|
||||
num_partitions=None,
|
||||
num_sub_vectors=None,
|
||||
vector_column_name=VECTOR_COLUMN_NAME,
|
||||
vector_column_name: str = VECTOR_COLUMN_NAME,
|
||||
replace: bool = True,
|
||||
accelerator: Optional[str] = None,
|
||||
index_cache_size: Optional[int] = None,
|
||||
@@ -1650,7 +1668,7 @@ class LanceTable(Table):
|
||||
column: str,
|
||||
*,
|
||||
replace: bool = True,
|
||||
index_type: Literal["BTREE", "BITMAP", "LABEL_LIST"] = "BTREE",
|
||||
index_type: ScalarIndexType = "BTREE",
|
||||
):
|
||||
if index_type == "BTREE":
|
||||
config = BTree()
|
||||
@@ -1675,7 +1693,7 @@ class LanceTable(Table):
|
||||
tokenizer_name: Optional[str] = None,
|
||||
with_position: bool = True,
|
||||
# tokenizer configs:
|
||||
base_tokenizer: str = "simple",
|
||||
base_tokenizer: BaseTokenizerType = "simple",
|
||||
language: str = "English",
|
||||
max_token_length: Optional[int] = 40,
|
||||
lower_case: bool = True,
|
||||
@@ -1809,8 +1827,8 @@ class LanceTable(Table):
|
||||
def add(
|
||||
self,
|
||||
data: DATA,
|
||||
mode: str = "append",
|
||||
on_bad_vectors: str = "error",
|
||||
mode: AddMode = "append",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
):
|
||||
"""Add data to the table.
|
||||
@@ -1844,7 +1862,7 @@ class LanceTable(Table):
|
||||
|
||||
def merge(
|
||||
self,
|
||||
other_table: Union[LanceTable, ReaderLike],
|
||||
other_table: Union[LanceTable, DATA],
|
||||
left_on: str,
|
||||
right_on: Optional[str] = None,
|
||||
schema: Optional[Union[pa.Schema, LanceModel]] = None,
|
||||
@@ -1894,12 +1912,13 @@ class LanceTable(Table):
|
||||
1 2 b e
|
||||
2 3 c f
|
||||
"""
|
||||
if isinstance(schema, LanceModel):
|
||||
schema = schema.to_arrow_schema()
|
||||
if isinstance(other_table, LanceTable):
|
||||
other_table = other_table.to_lance()
|
||||
if isinstance(other_table, LanceDataset):
|
||||
other_table = other_table.to_table()
|
||||
else:
|
||||
other_table = _sanitize_data(
|
||||
other_table,
|
||||
schema,
|
||||
)
|
||||
self.to_lance().merge(
|
||||
other_table, left_on=left_on, right_on=right_on, schema=schema
|
||||
)
|
||||
@@ -2047,7 +2066,7 @@ class LanceTable(Table):
|
||||
query_type,
|
||||
vector_column_name=vector_column_name,
|
||||
ordering_field_name=ordering_field_name,
|
||||
fts_columns=fts_columns,
|
||||
fts_columns=fts_columns or [],
|
||||
)
|
||||
|
||||
@classmethod
|
||||
@@ -2057,13 +2076,13 @@ class LanceTable(Table):
|
||||
name: str,
|
||||
data: Optional[DATA] = None,
|
||||
schema: Optional[pa.Schema] = None,
|
||||
mode: Literal["create", "overwrite"] = "create",
|
||||
mode: CreateMode = "create",
|
||||
exist_ok: bool = False,
|
||||
on_bad_vectors: str = "error",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
|
||||
*,
|
||||
storage_options: Optional[Dict[str, str]] = None,
|
||||
storage_options: Optional[Dict[str, str | bool]] = None,
|
||||
data_storage_version: Optional[str] = None,
|
||||
enable_v2_manifest_paths: Optional[bool] = None,
|
||||
):
|
||||
@@ -2217,17 +2236,22 @@ class LanceTable(Table):
|
||||
self,
|
||||
merge: LanceMergeInsertBuilder,
|
||||
new_data: DATA,
|
||||
on_bad_vectors: str,
|
||||
on_bad_vectors: OnBadVectorsType,
|
||||
fill_value: float,
|
||||
):
|
||||
LOOP.run(self._table._do_merge(merge, new_data, on_bad_vectors, fill_value))
|
||||
|
||||
@deprecation.deprecated(
|
||||
deprecated_in="0.21.0",
|
||||
current_version=__version__,
|
||||
details="Use `Table.optimize` instead.",
|
||||
)
|
||||
def cleanup_old_versions(
|
||||
self,
|
||||
older_than: Optional[timedelta] = None,
|
||||
*,
|
||||
delete_unverified: bool = False,
|
||||
) -> CleanupStats:
|
||||
) -> "CleanupStats":
|
||||
"""
|
||||
Clean up old versions of the table, freeing disk space.
|
||||
|
||||
@@ -2252,6 +2276,11 @@ class LanceTable(Table):
|
||||
older_than, delete_unverified=delete_unverified
|
||||
)
|
||||
|
||||
@deprecation.deprecated(
|
||||
deprecated_in="0.21.0",
|
||||
current_version=__version__,
|
||||
details="Use `Table.optimize` instead.",
|
||||
)
|
||||
def compact_files(self, *args, **kwargs) -> CompactionStats:
|
||||
"""
|
||||
Run the compaction process on the table.
|
||||
@@ -2383,6 +2412,19 @@ class LanceTable(Table):
|
||||
"""
|
||||
LOOP.run(self._table.migrate_v2_manifest_paths())
|
||||
|
||||
def replace_field_metadata(self, field_name: str, new_metadata: Dict[str, str]):
|
||||
"""
|
||||
Replace the metadata of a field in the schema
|
||||
|
||||
Parameters
|
||||
----------
|
||||
field_name: str
|
||||
The name of the field to replace the metadata for
|
||||
new_metadata: dict
|
||||
The new metadata to set
|
||||
"""
|
||||
LOOP.run(self._table.replace_field_metadata(field_name, new_metadata))
|
||||
|
||||
|
||||
def _handle_bad_vectors(
|
||||
reader: pa.RecordBatchReader,
|
||||
@@ -2845,7 +2887,7 @@ class AsyncTable:
|
||||
data: DATA,
|
||||
*,
|
||||
mode: Optional[Literal["append", "overwrite"]] = "append",
|
||||
on_bad_vectors: Optional[str] = None,
|
||||
on_bad_vectors: Optional[OnBadVectorsType] = None,
|
||||
fill_value: Optional[float] = None,
|
||||
):
|
||||
"""Add more data to the [Table](Table).
|
||||
@@ -2951,7 +2993,7 @@ class AsyncTable:
|
||||
@overload
|
||||
async def search(
|
||||
self,
|
||||
query: Optional[Union[str]] = None,
|
||||
query: Optional[str] = None,
|
||||
vector_column_name: Optional[str] = None,
|
||||
query_type: Literal["auto"] = ...,
|
||||
ordering_field_name: Optional[str] = None,
|
||||
@@ -2961,7 +3003,7 @@ class AsyncTable:
|
||||
@overload
|
||||
async def search(
|
||||
self,
|
||||
query: Optional[Union[str]] = None,
|
||||
query: Optional[str] = None,
|
||||
vector_column_name: Optional[str] = None,
|
||||
query_type: Literal["hybrid"] = ...,
|
||||
ordering_field_name: Optional[str] = None,
|
||||
@@ -3005,7 +3047,7 @@ class AsyncTable:
|
||||
query_type: QueryType = "auto",
|
||||
ordering_field_name: Optional[str] = None,
|
||||
fts_columns: Optional[Union[str, List[str]]] = None,
|
||||
) -> AsyncQuery:
|
||||
) -> Union[AsyncHybridQuery | AsyncFTSQuery | AsyncVectorQuery]:
|
||||
"""Create a search query to find the nearest neighbors
|
||||
of the given query vector. We currently support [vector search][search]
|
||||
and [full-text search][experimental-full-text-search].
|
||||
@@ -3244,7 +3286,7 @@ class AsyncTable:
|
||||
self,
|
||||
merge: LanceMergeInsertBuilder,
|
||||
new_data: DATA,
|
||||
on_bad_vectors: str,
|
||||
on_bad_vectors: OnBadVectorsType,
|
||||
fill_value: float,
|
||||
):
|
||||
schema = await self.schema()
|
||||
@@ -3613,6 +3655,21 @@ class AsyncTable:
|
||||
"""
|
||||
await self._inner.migrate_manifest_paths_v2()
|
||||
|
||||
async def replace_field_metadata(
|
||||
self, field_name: str, new_metadata: dict[str, str]
|
||||
):
|
||||
"""
|
||||
Replace the metadata of a field in the schema
|
||||
|
||||
Parameters
|
||||
----------
|
||||
field_name: str
|
||||
The name of the field to replace the metadata for
|
||||
new_metadata: dict
|
||||
The new metadata to set
|
||||
"""
|
||||
await self._inner.replace_field_metadata(field_name, new_metadata)
|
||||
|
||||
|
||||
@dataclass
|
||||
class IndexStatistics:
|
||||
|
||||
28
python/python/lancedb/types.py
Normal file
28
python/python/lancedb/types.py
Normal file
@@ -0,0 +1,28 @@
|
||||
# SPDX-License-Identifier: Apache-2.0
|
||||
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
from typing import Literal
|
||||
|
||||
# Query type literals
|
||||
QueryType = Literal["vector", "fts", "hybrid", "auto"]
|
||||
|
||||
# Distance type literals
|
||||
DistanceType = Literal["l2", "cosine", "dot"]
|
||||
DistanceTypeWithHamming = Literal["l2", "cosine", "dot", "hamming"]
|
||||
|
||||
# Vector handling literals
|
||||
OnBadVectorsType = Literal["error", "drop", "fill", "null"]
|
||||
|
||||
# Mode literals
|
||||
AddMode = Literal["append", "overwrite"]
|
||||
CreateMode = Literal["create", "overwrite"]
|
||||
|
||||
# Index type literals
|
||||
VectorIndexType = Literal["IVF_FLAT", "IVF_PQ", "IVF_HNSW_SQ", "IVF_HNSW_PQ"]
|
||||
ScalarIndexType = Literal["BTREE", "BITMAP", "LABEL_LIST"]
|
||||
IndexType = Literal[
|
||||
"IVF_PQ", "IVF_HNSW_PQ", "IVF_HNSW_SQ", "FTS", "BTREE", "BITMAP", "LABEL_LIST"
|
||||
]
|
||||
|
||||
# Tokenizer literals
|
||||
BaseTokenizerType = Literal["simple", "raw", "whitespace"]
|
||||
@@ -419,17 +419,17 @@ def test_embedding_function_safe_model_dump(embedding_type):
|
||||
|
||||
dumped_model = model.safe_model_dump()
|
||||
|
||||
assert all(
|
||||
not k.startswith("_") for k in dumped_model.keys()
|
||||
), f"{embedding_type}: Dumped model contains keys starting with underscore"
|
||||
assert all(not k.startswith("_") for k in dumped_model.keys()), (
|
||||
f"{embedding_type}: Dumped model contains keys starting with underscore"
|
||||
)
|
||||
|
||||
assert (
|
||||
"max_retries" in dumped_model
|
||||
), f"{embedding_type}: Essential field 'max_retries' is missing from dumped model"
|
||||
assert "max_retries" in dumped_model, (
|
||||
f"{embedding_type}: Essential field 'max_retries' is missing from dumped model"
|
||||
)
|
||||
|
||||
assert isinstance(
|
||||
dumped_model, dict
|
||||
), f"{embedding_type}: Dumped model is not a dictionary"
|
||||
assert isinstance(dumped_model, dict), (
|
||||
f"{embedding_type}: Dumped model is not a dictionary"
|
||||
)
|
||||
|
||||
for key in model.__dict__:
|
||||
if key.startswith("_"):
|
||||
|
||||
@@ -129,6 +129,6 @@ def test_normalize_scores():
|
||||
if invert:
|
||||
expected = pc.subtract(1.0, expected)
|
||||
|
||||
assert pc.equal(
|
||||
result, expected
|
||||
), f"Expected {expected} but got {result} for invert={invert}"
|
||||
assert pc.equal(result, expected), (
|
||||
f"Expected {expected} but got {result} for invert={invert}"
|
||||
)
|
||||
|
||||
@@ -784,8 +784,7 @@ async def test_query_search_auto(mem_db_async: AsyncConnection):
|
||||
with pytest.raises(
|
||||
Exception,
|
||||
match=(
|
||||
"Cannot perform full text search unless an INVERTED index has "
|
||||
"been created"
|
||||
"Cannot perform full text search unless an INVERTED index has been created"
|
||||
),
|
||||
):
|
||||
query = await (await tbl2.search("0.1")).to_arrow()
|
||||
|
||||
@@ -9,6 +9,7 @@ import json
|
||||
import threading
|
||||
from unittest.mock import MagicMock
|
||||
import uuid
|
||||
from packaging.version import Version
|
||||
|
||||
import lancedb
|
||||
from lancedb.conftest import MockTextEmbeddingFunction
|
||||
@@ -277,11 +278,12 @@ def test_table_create_indices():
|
||||
|
||||
|
||||
@contextlib.contextmanager
|
||||
def query_test_table(query_handler):
|
||||
def query_test_table(query_handler, *, server_version=Version("0.1.0")):
|
||||
def handler(request):
|
||||
if request.path == "/v1/table/test/describe/":
|
||||
request.send_response(200)
|
||||
request.send_header("Content-Type", "application/json")
|
||||
request.send_header("phalanx-version", str(server_version))
|
||||
request.end_headers()
|
||||
request.wfile.write(b"{}")
|
||||
elif request.path == "/v1/table/test/query/":
|
||||
@@ -388,17 +390,25 @@ def test_query_sync_maximal():
|
||||
)
|
||||
|
||||
|
||||
def test_query_sync_multiple_vectors():
|
||||
@pytest.mark.parametrize("server_version", [Version("0.1.0"), Version("0.2.0")])
|
||||
def test_query_sync_batch_queries(server_version):
|
||||
def handler(body):
|
||||
# TODO: we will add the ability to get the server version,
|
||||
# so that we can decide how to perform batch quires.
|
||||
vectors = body["vector"]
|
||||
res = []
|
||||
for i, vector in enumerate(vectors):
|
||||
res.append({"id": 1, "query_index": i})
|
||||
return pa.Table.from_pylist(res)
|
||||
if server_version >= Version(
|
||||
"0.2.0"
|
||||
): # we can handle batch queries in single request since 0.2.0
|
||||
assert len(vectors) == 2
|
||||
res = []
|
||||
for i, vector in enumerate(vectors):
|
||||
res.append({"id": 1, "query_index": i})
|
||||
return pa.Table.from_pylist(res)
|
||||
else:
|
||||
assert len(vectors) == 3 # matching dim
|
||||
return pa.table({"id": [1]})
|
||||
|
||||
with query_test_table(handler) as table:
|
||||
with query_test_table(handler, server_version=server_version) as table:
|
||||
results = table.search([[1, 2, 3], [4, 5, 6]]).limit(1).to_list()
|
||||
assert len(results) == 2
|
||||
results.sort(key=lambda x: x["query_index"])
|
||||
|
||||
@@ -131,9 +131,9 @@ def _run_test_reranker(reranker, table, query, query_vector, schema):
|
||||
"represents the relevance of the result to the query & should "
|
||||
"be descending."
|
||||
)
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
|
||||
# Vector search setting
|
||||
result = (
|
||||
@@ -143,9 +143,9 @@ def _run_test_reranker(reranker, table, query, query_vector, schema):
|
||||
.to_arrow()
|
||||
)
|
||||
assert len(result) == 30
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
result_explicit = (
|
||||
table.search(query_vector, vector_column_name="vector")
|
||||
.rerank(reranker=reranker, query_string=query)
|
||||
@@ -168,9 +168,9 @@ def _run_test_reranker(reranker, table, query, query_vector, schema):
|
||||
.to_arrow()
|
||||
)
|
||||
assert len(result) > 0
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
|
||||
# empty FTS results
|
||||
query = "abcxyz" * 100
|
||||
@@ -185,9 +185,9 @@ def _run_test_reranker(reranker, table, query, query_vector, schema):
|
||||
|
||||
# should return _relevance_score column
|
||||
assert "_relevance_score" in result.column_names
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
|
||||
# Multi-vector search setting
|
||||
rs1 = table.search(query, vector_column_name="vector").limit(10).with_row_id(True)
|
||||
@@ -262,9 +262,9 @@ def _run_test_hybrid_reranker(reranker, tmp_path, use_tantivy):
|
||||
"represents the relevance of the result to the query & should "
|
||||
"be descending."
|
||||
)
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
|
||||
# Test with empty FTS results
|
||||
query = "abcxyz" * 100
|
||||
@@ -278,9 +278,9 @@ def _run_test_hybrid_reranker(reranker, tmp_path, use_tantivy):
|
||||
)
|
||||
# should return _relevance_score column
|
||||
assert "_relevance_score" in result.column_names
|
||||
assert np.all(
|
||||
np.diff(result.column("_relevance_score").to_numpy()) <= 0
|
||||
), ascending_relevance_err
|
||||
assert np.all(np.diff(result.column("_relevance_score").to_numpy()) <= 0), (
|
||||
ascending_relevance_err
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("use_tantivy", [True, False])
|
||||
|
||||
@@ -252,3 +252,27 @@ def test_s3_dynamodb_sync(s3_bucket: str, commit_table: str, monkeypatch):
|
||||
db.drop_table("test_ddb_sync")
|
||||
assert db.table_names() == []
|
||||
db.drop_database()
|
||||
|
||||
|
||||
@pytest.mark.s3_test
|
||||
def test_s3_dynamodb_drop_all_tables(s3_bucket: str, commit_table: str, monkeypatch):
|
||||
for key, value in CONFIG.items():
|
||||
monkeypatch.setenv(key.upper(), value)
|
||||
|
||||
uri = f"s3+ddb://{s3_bucket}/test2?ddbTableName={commit_table}"
|
||||
db = lancedb.connect(uri, read_consistency_interval=timedelta(0))
|
||||
data = pa.table({"x": ["a", "b", "c"]})
|
||||
|
||||
db.create_table("foo", data)
|
||||
db.create_table("bar", data)
|
||||
assert db.table_names() == ["bar", "foo"]
|
||||
|
||||
# dropping all tables should clear multiple tables
|
||||
db.drop_all_tables()
|
||||
assert db.table_names() == []
|
||||
|
||||
# create a new table with the same name to ensure DDB is clean
|
||||
db.create_table("foo", data)
|
||||
assert db.table_names() == ["foo"]
|
||||
|
||||
db.drop_all_tables()
|
||||
|
||||
@@ -1481,3 +1481,12 @@ async def test_optimize_delete_unverified(tmp_db_async: AsyncConnection, tmp_pat
|
||||
cleanup_older_than=timedelta(seconds=0), delete_unverified=True
|
||||
)
|
||||
assert stats.prune.old_versions_removed == 2
|
||||
|
||||
|
||||
def test_replace_field_metadata(tmp_path):
|
||||
db = lancedb.connect(tmp_path)
|
||||
table = db.create_table("my_table", data=[{"x": 0}])
|
||||
table.replace_field_metadata("x", {"foo": "bar"})
|
||||
schema = table.schema
|
||||
field = schema[0].metadata
|
||||
assert field == {b"foo": b"bar"}
|
||||
|
||||
@@ -43,7 +43,7 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
|
||||
} => Python::with_gil(|py| {
|
||||
let message = err.to_string();
|
||||
let http_err_cls = py
|
||||
.import_bound(intern!(py, "lancedb.remote.errors"))?
|
||||
.import(intern!(py, "lancedb.remote.errors"))?
|
||||
.getattr(intern!(py, "HttpError"))?;
|
||||
let err = http_err_cls.call1((
|
||||
message,
|
||||
@@ -63,7 +63,7 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
|
||||
err.setattr(intern!(py, "__cause__"), cause_err)?;
|
||||
}
|
||||
|
||||
Err(PyErr::from_value_bound(err))
|
||||
Err(PyErr::from_value(err))
|
||||
}),
|
||||
LanceError::Retry {
|
||||
request_id,
|
||||
@@ -85,7 +85,7 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
|
||||
|
||||
let message = err.to_string();
|
||||
let retry_error_cls = py
|
||||
.import_bound(intern!(py, "lancedb.remote.errors"))?
|
||||
.import(intern!(py, "lancedb.remote.errors"))?
|
||||
.getattr("RetryError")?;
|
||||
let err = retry_error_cls.call1((
|
||||
message,
|
||||
@@ -100,7 +100,7 @@ impl<T> PythonErrorExt<T> for std::result::Result<T, LanceError> {
|
||||
))?;
|
||||
|
||||
err.setattr(intern!(py, "__cause__"), cause_err)?;
|
||||
Err(PyErr::from_value_bound(err))
|
||||
Err(PyErr::from_value(err))
|
||||
}),
|
||||
_ => self.runtime_error(),
|
||||
},
|
||||
@@ -127,18 +127,16 @@ fn http_from_rust_error(
|
||||
status_code: Option<u16>,
|
||||
) -> PyResult<PyErr> {
|
||||
let message = err.to_string();
|
||||
let http_err_cls = py
|
||||
.import_bound("lancedb.remote.errors")?
|
||||
.getattr("HttpError")?;
|
||||
let http_err_cls = py.import("lancedb.remote.errors")?.getattr("HttpError")?;
|
||||
let py_err = http_err_cls.call1((message, request_id, status_code))?;
|
||||
|
||||
// Reset the traceback since it doesn't provide additional information.
|
||||
let py_err = py_err.call_method1(intern!(py, "with_traceback"), (PyNone::get_bound(py),))?;
|
||||
let py_err = py_err.call_method1(intern!(py, "with_traceback"), (PyNone::get(py),))?;
|
||||
|
||||
if let Some(cause) = err.source() {
|
||||
let cause_err = http_from_rust_error(py, cause, request_id, status_code)?;
|
||||
py_err.setattr(intern!(py, "__cause__"), cause_err)?;
|
||||
}
|
||||
|
||||
Ok(PyErr::from_value_bound(py_err))
|
||||
Ok(PyErr::from_value(py_err))
|
||||
}
|
||||
|
||||
@@ -7,29 +7,32 @@ use lancedb::index::{
|
||||
vector::{IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder, IvfPqIndexBuilder},
|
||||
Index as LanceDbIndex,
|
||||
};
|
||||
use pyo3::types::PyStringMethods;
|
||||
use pyo3::IntoPyObject;
|
||||
use pyo3::{
|
||||
exceptions::{PyKeyError, PyValueError},
|
||||
intern, pyclass, pymethods,
|
||||
types::PyAnyMethods,
|
||||
Bound, FromPyObject, IntoPy, PyAny, PyObject, PyResult, Python,
|
||||
Bound, FromPyObject, PyAny, PyResult, Python,
|
||||
};
|
||||
|
||||
use crate::util::parse_distance_type;
|
||||
|
||||
pub fn class_name<'a>(ob: &'a Bound<'_, PyAny>) -> PyResult<&'a str> {
|
||||
let full_name: &str = ob
|
||||
pub fn class_name(ob: &'_ Bound<'_, PyAny>) -> PyResult<String> {
|
||||
let full_name = ob
|
||||
.getattr(intern!(ob.py(), "__class__"))?
|
||||
.getattr(intern!(ob.py(), "__name__"))?
|
||||
.extract()?;
|
||||
.getattr(intern!(ob.py(), "__name__"))?;
|
||||
let full_name = full_name.downcast()?.to_string_lossy();
|
||||
|
||||
match full_name.rsplit_once('.') {
|
||||
Some((_, name)) => Ok(name),
|
||||
None => Ok(full_name),
|
||||
Some((_, name)) => Ok(name.to_string()),
|
||||
None => Ok(full_name.to_string()),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<LanceDbIndex> {
|
||||
if let Some(source) = source {
|
||||
match class_name(source)? {
|
||||
match class_name(source)?.as_str() {
|
||||
"BTree" => Ok(LanceDbIndex::BTree(BTreeIndexBuilder::default())),
|
||||
"Bitmap" => Ok(LanceDbIndex::Bitmap(Default::default())),
|
||||
"LabelList" => Ok(LanceDbIndex::LabelList(Default::default())),
|
||||
@@ -196,11 +199,11 @@ impl IndexConfig {
|
||||
|
||||
// For backwards-compatibility with the old sync SDK, we also support getting
|
||||
// attributes via __getitem__.
|
||||
pub fn __getitem__(&self, key: String, py: Python<'_>) -> PyResult<PyObject> {
|
||||
pub fn __getitem__<'a>(&self, key: String, py: Python<'a>) -> PyResult<Bound<'a, PyAny>> {
|
||||
match key.as_str() {
|
||||
"index_type" => Ok(self.index_type.clone().into_py(py)),
|
||||
"columns" => Ok(self.columns.clone().into_py(py)),
|
||||
"name" | "index_name" => Ok(self.name.clone().into_py(py)),
|
||||
"index_type" => Ok(self.index_type.clone().into_pyobject(py)?.into_any()),
|
||||
"columns" => Ok(self.columns.clone().into_pyobject(py)?.into_any()),
|
||||
"name" | "index_name" => Ok(self.name.clone().into_pyobject(py)?.into_any()),
|
||||
_ => Err(PyKeyError::new_err(format!("Invalid key: {}", key))),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -10,12 +10,13 @@ use lancedb::table::{
|
||||
Table as LanceDbTable,
|
||||
};
|
||||
use pyo3::{
|
||||
exceptions::{PyRuntimeError, PyValueError},
|
||||
exceptions::{PyKeyError, PyRuntimeError, PyValueError},
|
||||
pyclass, pymethods,
|
||||
types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
|
||||
Bound, FromPyObject, PyAny, PyRef, PyResult, Python, ToPyObject,
|
||||
Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
|
||||
};
|
||||
use pyo3_async_runtimes::tokio::future_into_py;
|
||||
use std::collections::HashMap;
|
||||
|
||||
use crate::{
|
||||
error::PythonErrorExt,
|
||||
@@ -221,7 +222,7 @@ impl Table {
|
||||
let stats = inner.index_stats(&index_name).await.infer_error()?;
|
||||
if let Some(stats) = stats {
|
||||
Python::with_gil(|py| {
|
||||
let dict = PyDict::new_bound(py);
|
||||
let dict = PyDict::new(py);
|
||||
dict.set_item("num_indexed_rows", stats.num_indexed_rows)?;
|
||||
dict.set_item("num_unindexed_rows", stats.num_unindexed_rows)?;
|
||||
dict.set_item("index_type", stats.index_type.to_string())?;
|
||||
@@ -234,7 +235,7 @@ impl Table {
|
||||
dict.set_item("num_indices", num_indices)?;
|
||||
}
|
||||
|
||||
Ok(Some(dict.to_object(py)))
|
||||
Ok(Some(dict.unbind()))
|
||||
})
|
||||
} else {
|
||||
Ok(None)
|
||||
@@ -265,7 +266,7 @@ impl Table {
|
||||
versions
|
||||
.iter()
|
||||
.map(|v| {
|
||||
let dict = PyDict::new_bound(py);
|
||||
let dict = PyDict::new(py);
|
||||
dict.set_item("version", v.version).unwrap();
|
||||
dict.set_item(
|
||||
"timestamp",
|
||||
@@ -274,14 +275,13 @@ impl Table {
|
||||
.unwrap();
|
||||
|
||||
let tup: Vec<(&String, &String)> = v.metadata.iter().collect();
|
||||
dict.set_item("metadata", tup.into_py_dict_bound(py))
|
||||
.unwrap();
|
||||
dict.to_object(py)
|
||||
dict.set_item("metadata", tup.into_py_dict(py)?).unwrap();
|
||||
Ok(dict.unbind())
|
||||
})
|
||||
.collect::<Vec<_>>()
|
||||
.collect::<PyResult<Vec<_>>>()
|
||||
});
|
||||
|
||||
Ok(versions_as_dict)
|
||||
versions_as_dict
|
||||
})
|
||||
}
|
||||
|
||||
@@ -486,6 +486,37 @@ impl Table {
|
||||
Ok(())
|
||||
})
|
||||
}
|
||||
|
||||
pub fn replace_field_metadata<'a>(
|
||||
self_: PyRef<'a, Self>,
|
||||
field_name: String,
|
||||
metadata: &Bound<'_, PyDict>,
|
||||
) -> PyResult<Bound<'a, PyAny>> {
|
||||
let mut new_metadata = HashMap::<String, String>::new();
|
||||
for (column_name, value) in metadata.into_iter() {
|
||||
let key: String = column_name.extract()?;
|
||||
let value: String = value.extract()?;
|
||||
new_metadata.insert(key, value);
|
||||
}
|
||||
|
||||
let inner = self_.inner_ref()?.clone();
|
||||
future_into_py(self_.py(), async move {
|
||||
let native_tbl = inner
|
||||
.as_native()
|
||||
.ok_or_else(|| PyValueError::new_err("This cannot be run on a remote table"))?;
|
||||
let schema = native_tbl.manifest().await.infer_error()?.schema;
|
||||
let field = schema
|
||||
.field(&field_name)
|
||||
.ok_or_else(|| PyKeyError::new_err(format!("Field {} not found", field_name)))?;
|
||||
|
||||
native_tbl
|
||||
.replace_field_metadata(vec![(field.id as u32, new_metadata)])
|
||||
.await
|
||||
.infer_error()?;
|
||||
|
||||
Ok(())
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(FromPyObject)]
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-node"
|
||||
version = "0.17.0"
|
||||
version = "0.18.0-beta.0"
|
||||
description = "Serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
edition.workspace = true
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb"
|
||||
version = "0.17.0"
|
||||
version = "0.18.0-beta.0"
|
||||
edition.workspace = true
|
||||
description = "LanceDB: A serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
@@ -70,6 +70,7 @@ candle-core = { version = "0.6.0", optional = true }
|
||||
candle-transformers = { version = "0.6.0", optional = true }
|
||||
candle-nn = { version = "0.6.0", optional = true }
|
||||
tokenizers = { version = "0.19.1", optional = true }
|
||||
semver = { workspace = true }
|
||||
|
||||
# For a workaround, see workspace Cargo.toml
|
||||
crunchy.workspace = true
|
||||
@@ -87,6 +88,7 @@ aws-config = { version = "1.0" }
|
||||
aws-smithy-runtime = { version = "1.3" }
|
||||
datafusion.workspace = true
|
||||
http-body = "1" # Matching reqwest
|
||||
rstest = "0.23.0"
|
||||
|
||||
|
||||
[features]
|
||||
|
||||
@@ -4,12 +4,14 @@
|
||||
use std::{pin::Pin, sync::Arc};
|
||||
|
||||
pub use arrow_schema;
|
||||
use futures::{Stream, StreamExt};
|
||||
use datafusion_common::DataFusionError;
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use futures::{Stream, StreamExt, TryStreamExt};
|
||||
|
||||
#[cfg(feature = "polars")]
|
||||
use {crate::polars_arrow_convertors, polars::frame::ArrowChunk, polars::prelude::DataFrame};
|
||||
|
||||
use crate::error::Result;
|
||||
use crate::{error::Result, Error};
|
||||
|
||||
/// An iterator of batches that also has a schema
|
||||
pub trait RecordBatchReader: Iterator<Item = Result<arrow_array::RecordBatch>> {
|
||||
@@ -65,6 +67,20 @@ impl<I: lance::io::RecordBatchStream + 'static> From<I> for SendableRecordBatchS
|
||||
}
|
||||
}
|
||||
|
||||
pub trait SendableRecordBatchStreamExt {
|
||||
fn into_df_stream(self) -> datafusion_physical_plan::SendableRecordBatchStream;
|
||||
}
|
||||
|
||||
impl SendableRecordBatchStreamExt for SendableRecordBatchStream {
|
||||
fn into_df_stream(self) -> datafusion_physical_plan::SendableRecordBatchStream {
|
||||
let schema = self.schema();
|
||||
Box::pin(RecordBatchStreamAdapter::new(
|
||||
schema,
|
||||
self.map_err(|ldb_err| DataFusionError::External(ldb_err.into())),
|
||||
))
|
||||
}
|
||||
}
|
||||
|
||||
/// A simple RecordBatchStream formed from the two parts (stream + schema)
|
||||
#[pin_project::pin_project]
|
||||
pub struct SimpleRecordBatchStream<S: Stream<Item = Result<arrow_array::RecordBatch>>> {
|
||||
@@ -101,7 +117,7 @@ impl<S: Stream<Item = Result<arrow_array::RecordBatch>>> RecordBatchStream
|
||||
/// used in methods like [`crate::connection::Connection::create_table`]
|
||||
/// or [`crate::table::Table::add`]
|
||||
pub trait IntoArrow {
|
||||
/// Convert the data into an Arrow array
|
||||
/// Convert the data into an iterator of Arrow batches
|
||||
fn into_arrow(self) -> Result<Box<dyn arrow_array::RecordBatchReader + Send>>;
|
||||
}
|
||||
|
||||
@@ -113,11 +129,38 @@ impl<T: arrow_array::RecordBatchReader + Send + 'static> IntoArrow for T {
|
||||
}
|
||||
}
|
||||
|
||||
/// A trait for converting incoming data to Arrow asynchronously
|
||||
///
|
||||
/// Serves the same purpose as [`IntoArrow`], but for asynchronous data.
|
||||
///
|
||||
/// Note: Arrow has no async equivalent to RecordBatchReader and so
|
||||
pub trait IntoArrowStream {
|
||||
/// Convert the data into a stream of Arrow batches
|
||||
fn into_arrow(self) -> Result<SendableRecordBatchStream>;
|
||||
}
|
||||
|
||||
impl<S: Stream<Item = Result<arrow_array::RecordBatch>>> SimpleRecordBatchStream<S> {
|
||||
pub fn new(stream: S, schema: Arc<arrow_schema::Schema>) -> Self {
|
||||
Self { schema, stream }
|
||||
}
|
||||
}
|
||||
|
||||
impl IntoArrowStream for SendableRecordBatchStream {
|
||||
fn into_arrow(self) -> Result<SendableRecordBatchStream> {
|
||||
Ok(self)
|
||||
}
|
||||
}
|
||||
|
||||
impl IntoArrowStream for datafusion_physical_plan::SendableRecordBatchStream {
|
||||
fn into_arrow(self) -> Result<SendableRecordBatchStream> {
|
||||
let schema = self.schema();
|
||||
let stream = self.map_err(|df_err| Error::Runtime {
|
||||
message: df_err.to_string(),
|
||||
});
|
||||
Ok(Box::pin(SimpleRecordBatchStream::new(stream, schema)))
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(feature = "polars")]
|
||||
/// An iterator of record batches formed from a Polars DataFrame.
|
||||
pub struct PolarsDataFrameRecordBatchReader {
|
||||
|
||||
82
rust/lancedb/src/catalog.rs
Normal file
82
rust/lancedb/src/catalog.rs
Normal file
@@ -0,0 +1,82 @@
|
||||
// SPDX-License-Identifier: Apache-2.0
|
||||
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
//! Catalog implementation for managing databases
|
||||
|
||||
pub mod listing;
|
||||
|
||||
use std::collections::HashMap;
|
||||
use std::sync::Arc;
|
||||
|
||||
use crate::database::Database;
|
||||
use crate::error::Result;
|
||||
use async_trait::async_trait;
|
||||
|
||||
/// Request parameters for listing databases
|
||||
#[derive(Clone, Debug, Default)]
|
||||
pub struct DatabaseNamesRequest {
|
||||
/// Start listing after this name (exclusive)
|
||||
pub start_after: Option<String>,
|
||||
/// Maximum number of names to return
|
||||
pub limit: Option<u32>,
|
||||
}
|
||||
|
||||
/// Request to open an existing database
|
||||
#[derive(Clone, Debug)]
|
||||
pub struct OpenDatabaseRequest {
|
||||
/// The name of the database to open
|
||||
pub name: String,
|
||||
/// A map of database-specific options
|
||||
///
|
||||
/// Consult the catalog / database implementation to determine which options are available
|
||||
pub database_options: HashMap<String, String>,
|
||||
}
|
||||
|
||||
/// Database creation mode
|
||||
///
|
||||
/// The default behavior is Create
|
||||
pub enum CreateDatabaseMode {
|
||||
/// Create new database, error if exists
|
||||
Create,
|
||||
/// Open existing database if present
|
||||
ExistOk,
|
||||
/// Overwrite existing database
|
||||
Overwrite,
|
||||
}
|
||||
|
||||
impl Default for CreateDatabaseMode {
|
||||
fn default() -> Self {
|
||||
Self::Create
|
||||
}
|
||||
}
|
||||
|
||||
/// Request to create a new database
|
||||
pub struct CreateDatabaseRequest {
|
||||
/// The name of the database to create
|
||||
pub name: String,
|
||||
/// The creation mode
|
||||
pub mode: CreateDatabaseMode,
|
||||
/// A map of catalog-specific options, consult your catalog implementation to determine what's available
|
||||
pub options: HashMap<String, String>,
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
pub trait Catalog: Send + Sync + std::fmt::Debug + 'static {
|
||||
/// List database names with pagination
|
||||
async fn database_names(&self, request: DatabaseNamesRequest) -> Result<Vec<String>>;
|
||||
|
||||
/// Create a new database
|
||||
async fn create_database(&self, request: CreateDatabaseRequest) -> Result<Arc<dyn Database>>;
|
||||
|
||||
/// Open existing database
|
||||
async fn open_database(&self, request: OpenDatabaseRequest) -> Result<Arc<dyn Database>>;
|
||||
|
||||
/// Rename database
|
||||
async fn rename_database(&self, old_name: &str, new_name: &str) -> Result<()>;
|
||||
|
||||
/// Delete database
|
||||
async fn drop_database(&self, name: &str) -> Result<()>;
|
||||
|
||||
/// Delete all databases
|
||||
async fn drop_all_databases(&self) -> Result<()>;
|
||||
}
|
||||
569
rust/lancedb/src/catalog/listing.rs
Normal file
569
rust/lancedb/src/catalog/listing.rs
Normal file
@@ -0,0 +1,569 @@
|
||||
// SPDX-License-Identifier: Apache-2.0
|
||||
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
//! Catalog implementation based on a local file system.
|
||||
|
||||
use std::collections::HashMap;
|
||||
use std::fs::create_dir_all;
|
||||
use std::path::Path;
|
||||
use std::sync::Arc;
|
||||
|
||||
use super::{
|
||||
Catalog, CreateDatabaseMode, CreateDatabaseRequest, DatabaseNamesRequest, OpenDatabaseRequest,
|
||||
};
|
||||
use crate::connection::ConnectRequest;
|
||||
use crate::database::listing::ListingDatabase;
|
||||
use crate::database::Database;
|
||||
use crate::error::{CreateDirSnafu, Error, Result};
|
||||
use async_trait::async_trait;
|
||||
use lance::io::{ObjectStore, ObjectStoreParams, ObjectStoreRegistry};
|
||||
use lance_io::local::to_local_path;
|
||||
use object_store::path::Path as ObjectStorePath;
|
||||
use snafu::ResultExt;
|
||||
|
||||
/// A catalog implementation that works by listing subfolders in a directory
|
||||
///
|
||||
/// The listing catalog will be created with a base folder specified by the URI. Every subfolder
|
||||
/// in this base folder will be considered a database. These will be opened as a
|
||||
/// [`crate::database::listing::ListingDatabase`]
|
||||
#[derive(Debug)]
|
||||
pub struct ListingCatalog {
|
||||
object_store: ObjectStore,
|
||||
|
||||
uri: String,
|
||||
|
||||
base_path: ObjectStorePath,
|
||||
|
||||
storage_options: HashMap<String, String>,
|
||||
}
|
||||
|
||||
impl ListingCatalog {
|
||||
/// Try to create a local directory to store the lancedb dataset
|
||||
pub fn try_create_dir(path: &str) -> core::result::Result<(), std::io::Error> {
|
||||
let path = Path::new(path);
|
||||
if !path.try_exists()? {
|
||||
create_dir_all(path)?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
pub fn uri(&self) -> &str {
|
||||
&self.uri
|
||||
}
|
||||
|
||||
async fn open_path(path: &str) -> Result<Self> {
|
||||
let (object_store, base_path) = ObjectStore::from_path(path).unwrap();
|
||||
if object_store.is_local() {
|
||||
Self::try_create_dir(path).context(CreateDirSnafu { path })?;
|
||||
}
|
||||
|
||||
Ok(Self {
|
||||
uri: path.to_string(),
|
||||
base_path,
|
||||
object_store,
|
||||
storage_options: HashMap::new(),
|
||||
})
|
||||
}
|
||||
|
||||
pub async fn connect(request: &ConnectRequest) -> Result<Self> {
|
||||
let uri = &request.uri;
|
||||
let parse_res = url::Url::parse(uri);
|
||||
|
||||
match parse_res {
|
||||
Ok(url) if url.scheme().len() == 1 && cfg!(windows) => Self::open_path(uri).await,
|
||||
Ok(url) => {
|
||||
let plain_uri = url.to_string();
|
||||
|
||||
let registry = Arc::new(ObjectStoreRegistry::default());
|
||||
let storage_options = request.storage_options.clone();
|
||||
let os_params = ObjectStoreParams {
|
||||
storage_options: Some(storage_options.clone()),
|
||||
..Default::default()
|
||||
};
|
||||
let (object_store, base_path) =
|
||||
ObjectStore::from_uri_and_params(registry, &plain_uri, &os_params).await?;
|
||||
if object_store.is_local() {
|
||||
Self::try_create_dir(&plain_uri).context(CreateDirSnafu { path: plain_uri })?;
|
||||
}
|
||||
|
||||
Ok(Self {
|
||||
uri: String::from(url.clone()),
|
||||
base_path,
|
||||
object_store,
|
||||
storage_options,
|
||||
})
|
||||
}
|
||||
Err(_) => Self::open_path(uri).await,
|
||||
}
|
||||
}
|
||||
|
||||
fn database_path(&self, name: &str) -> ObjectStorePath {
|
||||
self.base_path.child(name.replace('\\', "/"))
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl Catalog for ListingCatalog {
|
||||
async fn database_names(&self, request: DatabaseNamesRequest) -> Result<Vec<String>> {
|
||||
let mut f = self
|
||||
.object_store
|
||||
.read_dir(self.base_path.clone())
|
||||
.await?
|
||||
.iter()
|
||||
.map(Path::new)
|
||||
.filter_map(|p| p.file_name().and_then(|s| s.to_str().map(String::from)))
|
||||
.collect::<Vec<String>>();
|
||||
f.sort();
|
||||
|
||||
if let Some(start_after) = request.start_after {
|
||||
let index = f
|
||||
.iter()
|
||||
.position(|name| name.as_str() > start_after.as_str())
|
||||
.unwrap_or(f.len());
|
||||
f.drain(0..index);
|
||||
}
|
||||
if let Some(limit) = request.limit {
|
||||
f.truncate(limit as usize);
|
||||
}
|
||||
Ok(f)
|
||||
}
|
||||
|
||||
async fn create_database(&self, request: CreateDatabaseRequest) -> Result<Arc<dyn Database>> {
|
||||
let db_path = self.database_path(&request.name);
|
||||
let db_path_str = to_local_path(&db_path);
|
||||
let exists = Path::new(&db_path_str).exists();
|
||||
|
||||
match request.mode {
|
||||
CreateDatabaseMode::Create if exists => {
|
||||
return Err(Error::DatabaseAlreadyExists { name: request.name })
|
||||
}
|
||||
CreateDatabaseMode::Create => {
|
||||
create_dir_all(db_path.to_string()).unwrap();
|
||||
}
|
||||
CreateDatabaseMode::ExistOk => {
|
||||
if !exists {
|
||||
create_dir_all(db_path.to_string()).unwrap();
|
||||
}
|
||||
}
|
||||
CreateDatabaseMode::Overwrite => {
|
||||
if exists {
|
||||
self.drop_database(&request.name).await?;
|
||||
}
|
||||
create_dir_all(db_path.to_string()).unwrap();
|
||||
}
|
||||
}
|
||||
|
||||
let db_uri = format!("/{}/{}", self.base_path, request.name);
|
||||
|
||||
let connect_request = ConnectRequest {
|
||||
uri: db_uri,
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
read_consistency_interval: None,
|
||||
storage_options: self.storage_options.clone(),
|
||||
};
|
||||
|
||||
Ok(Arc::new(
|
||||
ListingDatabase::connect_with_options(&connect_request).await?,
|
||||
))
|
||||
}
|
||||
|
||||
async fn open_database(&self, request: OpenDatabaseRequest) -> Result<Arc<dyn Database>> {
|
||||
let db_path = self.database_path(&request.name);
|
||||
|
||||
let db_path_str = to_local_path(&db_path);
|
||||
let exists = Path::new(&db_path_str).exists();
|
||||
if !exists {
|
||||
return Err(Error::DatabaseNotFound { name: request.name });
|
||||
}
|
||||
|
||||
let connect_request = ConnectRequest {
|
||||
uri: db_path.to_string(),
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
read_consistency_interval: None,
|
||||
storage_options: self.storage_options.clone(),
|
||||
};
|
||||
|
||||
Ok(Arc::new(
|
||||
ListingDatabase::connect_with_options(&connect_request).await?,
|
||||
))
|
||||
}
|
||||
|
||||
async fn rename_database(&self, _old_name: &str, _new_name: &str) -> Result<()> {
|
||||
Err(Error::NotSupported {
|
||||
message: "rename_database is not supported in LanceDB OSS yet".to_string(),
|
||||
})
|
||||
}
|
||||
|
||||
async fn drop_database(&self, name: &str) -> Result<()> {
|
||||
let db_path = self.database_path(name);
|
||||
self.object_store
|
||||
.remove_dir_all(db_path.clone())
|
||||
.await
|
||||
.map_err(|err| match err {
|
||||
lance::Error::NotFound { .. } => Error::DatabaseNotFound {
|
||||
name: name.to_owned(),
|
||||
},
|
||||
_ => Error::from(err),
|
||||
})?;
|
||||
|
||||
Ok(())
|
||||
}
|
||||
|
||||
async fn drop_all_databases(&self) -> Result<()> {
|
||||
self.object_store
|
||||
.remove_dir_all(self.base_path.clone())
|
||||
.await?;
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(all(test, not(windows)))]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
/// file:/// URIs with drive letters do not work correctly on Windows
|
||||
#[cfg(windows)]
|
||||
fn path_to_uri(path: PathBuf) -> String {
|
||||
path.to_str().unwrap().to_string()
|
||||
}
|
||||
|
||||
#[cfg(not(windows))]
|
||||
fn path_to_uri(path: PathBuf) -> String {
|
||||
Url::from_file_path(path).unwrap().to_string()
|
||||
}
|
||||
|
||||
async fn setup_catalog() -> (TempDir, ListingCatalog) {
|
||||
let tempdir = tempfile::tempdir().unwrap();
|
||||
let catalog_path = tempdir.path().join("catalog");
|
||||
std::fs::create_dir_all(&catalog_path).unwrap();
|
||||
|
||||
let uri = path_to_uri(catalog_path);
|
||||
|
||||
let request = ConnectRequest {
|
||||
uri: uri.clone(),
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
storage_options: HashMap::new(),
|
||||
read_consistency_interval: None,
|
||||
};
|
||||
|
||||
let catalog = ListingCatalog::connect(&request).await.unwrap();
|
||||
|
||||
(tempdir, catalog)
|
||||
}
|
||||
|
||||
use crate::database::{CreateTableData, CreateTableRequest, TableNamesRequest};
|
||||
use crate::table::TableDefinition;
|
||||
use arrow_schema::Field;
|
||||
use std::path::PathBuf;
|
||||
use std::sync::Arc;
|
||||
use tempfile::{tempdir, TempDir};
|
||||
use url::Url;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_database_names() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(names.is_empty());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_database() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db1".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert_eq!(names, vec!["db1"]);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_database_exist_ok() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
let db1 = catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db_exist_ok".into(),
|
||||
mode: CreateDatabaseMode::ExistOk,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
let dummy_schema = Arc::new(arrow_schema::Schema::new(Vec::<Field>::default()));
|
||||
db1.create_table(CreateTableRequest {
|
||||
name: "test_table".parse().unwrap(),
|
||||
data: CreateTableData::Empty(TableDefinition::new_from_schema(dummy_schema)),
|
||||
mode: Default::default(),
|
||||
write_options: Default::default(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let db2 = catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db_exist_ok".into(),
|
||||
mode: CreateDatabaseMode::ExistOk,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tables = db2.table_names(TableNamesRequest::default()).await.unwrap();
|
||||
assert_eq!(tables, vec!["test_table".to_string()]);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_database_overwrite() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
let db = catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db_overwrite".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
let dummy_schema = Arc::new(arrow_schema::Schema::new(Vec::<Field>::default()));
|
||||
db.create_table(CreateTableRequest {
|
||||
name: "old_table".parse().unwrap(),
|
||||
data: CreateTableData::Empty(TableDefinition::new_from_schema(dummy_schema)),
|
||||
mode: Default::default(),
|
||||
write_options: Default::default(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
let tables = db.table_names(TableNamesRequest::default()).await.unwrap();
|
||||
assert!(!tables.is_empty());
|
||||
|
||||
let new_db = catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db_overwrite".into(),
|
||||
mode: CreateDatabaseMode::Overwrite,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tables = new_db
|
||||
.table_names(TableNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(tables.is_empty());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_database_overwrite_non_existing() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "new_db".into(),
|
||||
mode: CreateDatabaseMode::Overwrite,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(names.contains(&"new_db".to_string()));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_open_database() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
// Test open non-existent
|
||||
let result = catalog
|
||||
.open_database(OpenDatabaseRequest {
|
||||
name: "missing".into(),
|
||||
database_options: HashMap::new(),
|
||||
})
|
||||
.await;
|
||||
assert!(matches!(
|
||||
result.unwrap_err(),
|
||||
Error::DatabaseNotFound { name } if name == "missing"
|
||||
));
|
||||
|
||||
// Create and open
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "valid_db".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let db = catalog
|
||||
.open_database(OpenDatabaseRequest {
|
||||
name: "valid_db".into(),
|
||||
database_options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
assert_eq!(
|
||||
db.table_names(TableNamesRequest::default()).await.unwrap(),
|
||||
Vec::<String>::new()
|
||||
);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_drop_database() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
// Create test database
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "to_drop".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(!names.is_empty());
|
||||
|
||||
// Drop database
|
||||
catalog.drop_database("to_drop").await.unwrap();
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(names.is_empty());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_drop_all_databases() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db1".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
catalog
|
||||
.create_database(CreateDatabaseRequest {
|
||||
name: "db2".into(),
|
||||
mode: CreateDatabaseMode::Create,
|
||||
options: HashMap::new(),
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
catalog.drop_all_databases().await.unwrap();
|
||||
|
||||
let names = catalog
|
||||
.database_names(DatabaseNamesRequest::default())
|
||||
.await
|
||||
.unwrap();
|
||||
assert!(names.is_empty());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_rename_database_unsupported() {
|
||||
let (_tempdir, catalog) = setup_catalog().await;
|
||||
let result = catalog.rename_database("old", "new").await;
|
||||
assert!(matches!(
|
||||
result.unwrap_err(),
|
||||
Error::NotSupported { message } if message.contains("rename_database")
|
||||
));
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_connect_local_path() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
let path = tmp_dir.path().to_str().unwrap();
|
||||
|
||||
let request = ConnectRequest {
|
||||
uri: path.to_string(),
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
storage_options: HashMap::new(),
|
||||
read_consistency_interval: None,
|
||||
};
|
||||
|
||||
let catalog = ListingCatalog::connect(&request).await.unwrap();
|
||||
assert!(catalog.object_store.is_local());
|
||||
assert_eq!(catalog.uri, path);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_connect_file_scheme() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
let path = tmp_dir.path();
|
||||
let uri = path_to_uri(path.to_path_buf());
|
||||
|
||||
let request = ConnectRequest {
|
||||
uri: uri.clone(),
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
storage_options: HashMap::new(),
|
||||
read_consistency_interval: None,
|
||||
};
|
||||
|
||||
let catalog = ListingCatalog::connect(&request).await.unwrap();
|
||||
assert!(catalog.object_store.is_local());
|
||||
assert_eq!(catalog.uri, uri);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_connect_invalid_uri_fallback() {
|
||||
let invalid_uri = "invalid:///path";
|
||||
let request = ConnectRequest {
|
||||
uri: invalid_uri.to_string(),
|
||||
api_key: None,
|
||||
region: None,
|
||||
host_override: None,
|
||||
#[cfg(feature = "remote")]
|
||||
client_config: Default::default(),
|
||||
storage_options: HashMap::new(),
|
||||
read_consistency_interval: None,
|
||||
};
|
||||
|
||||
let result = ListingCatalog::connect(&request).await;
|
||||
assert!(result.is_err());
|
||||
}
|
||||
}
|
||||
@@ -11,7 +11,7 @@ use arrow_schema::{Field, SchemaRef};
|
||||
use lance::dataset::ReadParams;
|
||||
use object_store::aws::AwsCredential;
|
||||
|
||||
use crate::arrow::IntoArrow;
|
||||
use crate::arrow::{IntoArrow, IntoArrowStream, SendableRecordBatchStream};
|
||||
use crate::database::listing::{
|
||||
ListingDatabase, OPT_NEW_TABLE_STORAGE_VERSION, OPT_NEW_TABLE_V2_MANIFEST_PATHS,
|
||||
};
|
||||
@@ -75,6 +75,14 @@ impl IntoArrow for NoData {
|
||||
}
|
||||
}
|
||||
|
||||
// Stores the value given from the initial CreateTableBuilder::new call
|
||||
// and defers errors until `execute` is called
|
||||
enum CreateTableBuilderInitialData {
|
||||
None,
|
||||
Iterator(Result<Box<dyn RecordBatchReader + Send>>),
|
||||
Stream(Result<SendableRecordBatchStream>),
|
||||
}
|
||||
|
||||
/// A builder for configuring a [`Connection::create_table`] operation
|
||||
pub struct CreateTableBuilder<const HAS_DATA: bool> {
|
||||
parent: Arc<dyn Database>,
|
||||
@@ -83,7 +91,7 @@ pub struct CreateTableBuilder<const HAS_DATA: bool> {
|
||||
request: CreateTableRequest,
|
||||
// This is a bit clumsy but we defer errors until `execute` is called
|
||||
// to maintain backwards compatibility
|
||||
data: Option<Result<Box<dyn RecordBatchReader + Send>>>,
|
||||
data: CreateTableBuilderInitialData,
|
||||
}
|
||||
|
||||
// Builder methods that only apply when we have initial data
|
||||
@@ -103,7 +111,26 @@ impl CreateTableBuilder<true> {
|
||||
),
|
||||
embeddings: Vec::new(),
|
||||
embedding_registry,
|
||||
data: Some(data.into_arrow()),
|
||||
data: CreateTableBuilderInitialData::Iterator(data.into_arrow()),
|
||||
}
|
||||
}
|
||||
|
||||
fn new_streaming<T: IntoArrowStream>(
|
||||
parent: Arc<dyn Database>,
|
||||
name: String,
|
||||
data: T,
|
||||
embedding_registry: Arc<dyn EmbeddingRegistry>,
|
||||
) -> Self {
|
||||
let dummy_schema = Arc::new(arrow_schema::Schema::new(Vec::<Field>::default()));
|
||||
Self {
|
||||
parent,
|
||||
request: CreateTableRequest::new(
|
||||
name,
|
||||
CreateTableData::Empty(TableDefinition::new_from_schema(dummy_schema)),
|
||||
),
|
||||
embeddings: Vec::new(),
|
||||
embedding_registry,
|
||||
data: CreateTableBuilderInitialData::Stream(data.into_arrow()),
|
||||
}
|
||||
}
|
||||
|
||||
@@ -125,17 +152,37 @@ impl CreateTableBuilder<true> {
|
||||
}
|
||||
|
||||
fn into_request(self) -> Result<CreateTableRequest> {
|
||||
let data = if self.embeddings.is_empty() {
|
||||
self.data.unwrap()?
|
||||
if self.embeddings.is_empty() {
|
||||
match self.data {
|
||||
CreateTableBuilderInitialData::Iterator(maybe_iter) => {
|
||||
let data = maybe_iter?;
|
||||
Ok(CreateTableRequest {
|
||||
data: CreateTableData::Data(data),
|
||||
..self.request
|
||||
})
|
||||
}
|
||||
CreateTableBuilderInitialData::None => {
|
||||
unreachable!("No data provided for CreateTableBuilder<true>")
|
||||
}
|
||||
CreateTableBuilderInitialData::Stream(maybe_stream) => {
|
||||
let data = maybe_stream?;
|
||||
Ok(CreateTableRequest {
|
||||
data: CreateTableData::StreamingData(data),
|
||||
..self.request
|
||||
})
|
||||
}
|
||||
}
|
||||
} else {
|
||||
let data = self.data.unwrap()?;
|
||||
Box::new(WithEmbeddings::new(data, self.embeddings))
|
||||
};
|
||||
let req = self.request;
|
||||
Ok(CreateTableRequest {
|
||||
data: CreateTableData::Data(data),
|
||||
..req
|
||||
})
|
||||
let CreateTableBuilderInitialData::Iterator(maybe_iter) = self.data else {
|
||||
return Err(Error::NotSupported { message: "Creating a table with embeddings is currently not support when the input is streaming".to_string() });
|
||||
};
|
||||
let data = maybe_iter?;
|
||||
let data = Box::new(WithEmbeddings::new(data, self.embeddings));
|
||||
Ok(CreateTableRequest {
|
||||
data: CreateTableData::Data(data),
|
||||
..self.request
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -151,7 +198,7 @@ impl CreateTableBuilder<false> {
|
||||
Self {
|
||||
parent,
|
||||
request: CreateTableRequest::new(name, CreateTableData::Empty(table_definition)),
|
||||
data: None,
|
||||
data: CreateTableBuilderInitialData::None,
|
||||
embeddings: Vec::default(),
|
||||
embedding_registry,
|
||||
}
|
||||
@@ -432,7 +479,7 @@ impl Connection {
|
||||
TableNamesBuilder::new(self.internal.clone())
|
||||
}
|
||||
|
||||
/// Create a new table from data
|
||||
/// Create a new table from an iterator of data
|
||||
///
|
||||
/// # Parameters
|
||||
///
|
||||
@@ -451,6 +498,25 @@ impl Connection {
|
||||
)
|
||||
}
|
||||
|
||||
/// Create a new table from a stream of data
|
||||
///
|
||||
/// # Parameters
|
||||
///
|
||||
/// * `name` - The name of the table
|
||||
/// * `initial_data` - The initial data to write to the table
|
||||
pub fn create_table_streaming<T: IntoArrowStream>(
|
||||
&self,
|
||||
name: impl Into<String>,
|
||||
initial_data: T,
|
||||
) -> CreateTableBuilder<true> {
|
||||
CreateTableBuilder::<true>::new_streaming(
|
||||
self.internal.clone(),
|
||||
name.into(),
|
||||
initial_data,
|
||||
self.embedding_registry.clone(),
|
||||
)
|
||||
}
|
||||
|
||||
/// Create an empty table with a given schema
|
||||
///
|
||||
/// # Parameters
|
||||
@@ -788,12 +854,16 @@ mod test_utils {
|
||||
mod tests {
|
||||
use std::fs::create_dir_all;
|
||||
|
||||
use arrow::compute::concat_batches;
|
||||
use arrow_array::RecordBatchReader;
|
||||
use arrow_schema::{DataType, Field, Schema};
|
||||
use futures::TryStreamExt;
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use futures::{stream, TryStreamExt};
|
||||
use lance::error::{ArrowResult, DataFusionResult};
|
||||
use lance_testing::datagen::{BatchGenerator, IncrementingInt32};
|
||||
use tempfile::tempdir;
|
||||
|
||||
use crate::arrow::SimpleRecordBatchStream;
|
||||
use crate::database::listing::{ListingDatabaseOptions, NewTableConfig};
|
||||
use crate::query::QueryBase;
|
||||
use crate::query::{ExecutableQuery, QueryExecutionOptions};
|
||||
@@ -976,6 +1046,63 @@ mod tests {
|
||||
assert_eq!(batches.len(), 1);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_create_table_streaming() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
|
||||
let uri = tmp_dir.path().to_str().unwrap();
|
||||
let db = connect(uri).execute().await.unwrap();
|
||||
|
||||
let batches = make_data().collect::<ArrowResult<Vec<_>>>().unwrap();
|
||||
|
||||
let schema = batches.first().unwrap().schema();
|
||||
let one_batch = concat_batches(&schema, batches.iter()).unwrap();
|
||||
|
||||
let ldb_stream = stream::iter(batches.clone().into_iter().map(Result::Ok));
|
||||
let ldb_stream: SendableRecordBatchStream =
|
||||
Box::pin(SimpleRecordBatchStream::new(ldb_stream, schema.clone()));
|
||||
|
||||
let tbl1 = db
|
||||
.create_table_streaming("one", ldb_stream)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let df_stream = stream::iter(batches.into_iter().map(DataFusionResult::Ok));
|
||||
let df_stream: datafusion_physical_plan::SendableRecordBatchStream =
|
||||
Box::pin(RecordBatchStreamAdapter::new(schema.clone(), df_stream));
|
||||
|
||||
let tbl2 = db
|
||||
.create_table_streaming("two", df_stream)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tbl1_data = tbl1
|
||||
.query()
|
||||
.execute()
|
||||
.await
|
||||
.unwrap()
|
||||
.try_collect::<Vec<_>>()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tbl1_data = concat_batches(&schema, tbl1_data.iter()).unwrap();
|
||||
assert_eq!(tbl1_data, one_batch);
|
||||
|
||||
let tbl2_data = tbl2
|
||||
.query()
|
||||
.execute()
|
||||
.await
|
||||
.unwrap()
|
||||
.try_collect::<Vec<_>>()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tbl2_data = concat_batches(&schema, tbl2_data.iter()).unwrap();
|
||||
assert_eq!(tbl2_data, one_batch);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn drop_table() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
|
||||
@@ -18,8 +18,13 @@ use std::collections::HashMap;
|
||||
use std::sync::Arc;
|
||||
|
||||
use arrow_array::RecordBatchReader;
|
||||
use async_trait::async_trait;
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use futures::stream;
|
||||
use lance::dataset::ReadParams;
|
||||
use lance_datafusion::utils::StreamingWriteSource;
|
||||
|
||||
use crate::arrow::{SendableRecordBatchStream, SendableRecordBatchStreamExt};
|
||||
use crate::error::Result;
|
||||
use crate::table::{BaseTable, TableDefinition, WriteOptions};
|
||||
|
||||
@@ -81,12 +86,41 @@ impl Default for CreateTableMode {
|
||||
|
||||
/// The data to start a table or a schema to create an empty table
|
||||
pub enum CreateTableData {
|
||||
/// Creates a table using data, no schema required as it will be obtained from the data
|
||||
/// Creates a table using an iterator of data, the schema will be obtained from the data
|
||||
Data(Box<dyn RecordBatchReader + Send>),
|
||||
/// Creates a table using a stream of data, the schema will be obtained from the data
|
||||
StreamingData(SendableRecordBatchStream),
|
||||
/// Creates an empty table, the definition / schema must be provided separately
|
||||
Empty(TableDefinition),
|
||||
}
|
||||
|
||||
impl CreateTableData {
|
||||
pub fn schema(&self) -> Arc<arrow_schema::Schema> {
|
||||
match self {
|
||||
Self::Data(reader) => reader.schema(),
|
||||
Self::StreamingData(stream) => stream.schema(),
|
||||
Self::Empty(definition) => definition.schema.clone(),
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait]
|
||||
impl StreamingWriteSource for CreateTableData {
|
||||
fn arrow_schema(&self) -> Arc<arrow_schema::Schema> {
|
||||
self.schema()
|
||||
}
|
||||
fn into_stream(self) -> datafusion_physical_plan::SendableRecordBatchStream {
|
||||
match self {
|
||||
Self::Data(reader) => reader.into_stream(),
|
||||
Self::StreamingData(stream) => stream.into_df_stream(),
|
||||
Self::Empty(table_definition) => {
|
||||
let schema = table_definition.schema.clone();
|
||||
Box::pin(RecordBatchStreamAdapter::new(schema, stream::empty()))
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// A request to create a table
|
||||
pub struct CreateTableRequest {
|
||||
/// The name of the new table
|
||||
|
||||
@@ -7,9 +7,9 @@ use std::fs::create_dir_all;
|
||||
use std::path::Path;
|
||||
use std::{collections::HashMap, sync::Arc};
|
||||
|
||||
use arrow_array::RecordBatchIterator;
|
||||
use lance::dataset::{ReadParams, WriteMode};
|
||||
use lance::io::{ObjectStore, ObjectStoreParams, ObjectStoreRegistry, WrappingObjectStore};
|
||||
use lance_datafusion::utils::StreamingWriteSource;
|
||||
use lance_encoding::version::LanceFileVersion;
|
||||
use lance_table::io::commit::commit_handler_from_url;
|
||||
use object_store::local::LocalFileSystem;
|
||||
@@ -22,8 +22,8 @@ use crate::table::NativeTable;
|
||||
use crate::utils::validate_table_name;
|
||||
|
||||
use super::{
|
||||
BaseTable, CreateTableData, CreateTableMode, CreateTableRequest, Database, DatabaseOptions,
|
||||
OpenTableRequest, TableNamesRequest,
|
||||
BaseTable, CreateTableMode, CreateTableRequest, Database, DatabaseOptions, OpenTableRequest,
|
||||
TableNamesRequest,
|
||||
};
|
||||
|
||||
/// File extension to indicate a lance table
|
||||
@@ -322,6 +322,37 @@ impl ListingDatabase {
|
||||
|
||||
Ok(uri)
|
||||
}
|
||||
|
||||
async fn drop_tables(&self, names: Vec<String>) -> Result<()> {
|
||||
let object_store_params = ObjectStoreParams {
|
||||
storage_options: Some(self.storage_options.clone()),
|
||||
..Default::default()
|
||||
};
|
||||
let mut uri = self.uri.clone();
|
||||
if let Some(query_string) = &self.query_string {
|
||||
uri.push_str(&format!("?{}", query_string));
|
||||
}
|
||||
let commit_handler = commit_handler_from_url(&uri, &Some(object_store_params)).await?;
|
||||
for name in names {
|
||||
let dir_name = format!("{}.{}", name, LANCE_EXTENSION);
|
||||
let full_path = self.base_path.child(dir_name.clone());
|
||||
|
||||
commit_handler.delete(&full_path).await?;
|
||||
|
||||
self.object_store
|
||||
.remove_dir_all(full_path.clone())
|
||||
.await
|
||||
.map_err(|err| match err {
|
||||
// this error is not lance::Error::DatasetNotFound, as the method
|
||||
// `remove_dir_all` may be used to remove something not be a dataset
|
||||
lance::Error::NotFound { .. } => Error::TableNotFound {
|
||||
name: name.to_owned(),
|
||||
},
|
||||
_ => Error::from(err),
|
||||
})?;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
#[async_trait::async_trait]
|
||||
@@ -401,19 +432,12 @@ impl Database for ListingDatabase {
|
||||
write_params.mode = WriteMode::Overwrite;
|
||||
}
|
||||
|
||||
let data = match request.data {
|
||||
CreateTableData::Data(data) => data,
|
||||
CreateTableData::Empty(table_definition) => {
|
||||
let schema = table_definition.schema.clone();
|
||||
Box::new(RecordBatchIterator::new(vec![], schema))
|
||||
}
|
||||
};
|
||||
let data_schema = data.schema();
|
||||
let data_schema = request.data.arrow_schema();
|
||||
|
||||
match NativeTable::create(
|
||||
&table_uri,
|
||||
&request.name,
|
||||
data,
|
||||
request.data,
|
||||
self.store_wrapper.clone(),
|
||||
Some(write_params),
|
||||
self.read_consistency_interval,
|
||||
@@ -500,40 +524,12 @@ impl Database for ListingDatabase {
|
||||
}
|
||||
|
||||
async fn drop_table(&self, name: &str) -> Result<()> {
|
||||
let dir_name = format!("{}.{}", name, LANCE_EXTENSION);
|
||||
let full_path = self.base_path.child(dir_name.clone());
|
||||
self.object_store
|
||||
.remove_dir_all(full_path.clone())
|
||||
.await
|
||||
.map_err(|err| match err {
|
||||
// this error is not lance::Error::DatasetNotFound,
|
||||
// as the method `remove_dir_all` may be used to remove something not be a dataset
|
||||
lance::Error::NotFound { .. } => Error::TableNotFound {
|
||||
name: name.to_owned(),
|
||||
},
|
||||
_ => Error::from(err),
|
||||
})?;
|
||||
|
||||
let object_store_params = ObjectStoreParams {
|
||||
storage_options: Some(self.storage_options.clone()),
|
||||
..Default::default()
|
||||
};
|
||||
let mut uri = self.uri.clone();
|
||||
if let Some(query_string) = &self.query_string {
|
||||
uri.push_str(&format!("?{}", query_string));
|
||||
}
|
||||
let commit_handler = commit_handler_from_url(&uri, &Some(object_store_params))
|
||||
.await
|
||||
.unwrap();
|
||||
commit_handler.delete(&full_path).await.unwrap();
|
||||
Ok(())
|
||||
self.drop_tables(vec![name.to_string()]).await
|
||||
}
|
||||
|
||||
async fn drop_all_tables(&self) -> Result<()> {
|
||||
self.object_store
|
||||
.remove_dir_all(self.base_path.clone())
|
||||
.await?;
|
||||
Ok(())
|
||||
let tables = self.table_names(TableNamesRequest::default()).await?;
|
||||
self.drop_tables(tables).await
|
||||
}
|
||||
|
||||
fn as_any(&self) -> &dyn std::any::Any {
|
||||
|
||||
@@ -15,6 +15,10 @@ pub enum Error {
|
||||
InvalidInput { message: String },
|
||||
#[snafu(display("Table '{name}' was not found"))]
|
||||
TableNotFound { name: String },
|
||||
#[snafu(display("Database '{name}' was not found"))]
|
||||
DatabaseNotFound { name: String },
|
||||
#[snafu(display("Database '{name}' already exists."))]
|
||||
DatabaseAlreadyExists { name: String },
|
||||
#[snafu(display("Index '{name}' was not found"))]
|
||||
IndexNotFound { name: String },
|
||||
#[snafu(display("Embedding function '{name}' was not found. : {reason}"))]
|
||||
|
||||
@@ -191,6 +191,7 @@
|
||||
//! ```
|
||||
|
||||
pub mod arrow;
|
||||
pub mod catalog;
|
||||
pub mod connection;
|
||||
pub mod data;
|
||||
pub mod database;
|
||||
|
||||
@@ -19,12 +19,41 @@ use crate::database::{
|
||||
};
|
||||
use crate::error::Result;
|
||||
use crate::table::BaseTable;
|
||||
use crate::Error;
|
||||
|
||||
use super::client::{ClientConfig, HttpSend, RequestResultExt, RestfulLanceDbClient, Sender};
|
||||
use super::table::RemoteTable;
|
||||
use super::util::batches_to_ipc_bytes;
|
||||
use super::util::{batches_to_ipc_bytes, parse_server_version};
|
||||
use super::ARROW_STREAM_CONTENT_TYPE;
|
||||
|
||||
// the versions of the server that we support
|
||||
// for any new feature that we need to change the SDK behavior, we should bump the server version,
|
||||
// and add a feature flag as method of `ServerVersion` here.
|
||||
pub const DEFAULT_SERVER_VERSION: semver::Version = semver::Version::new(0, 1, 0);
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct ServerVersion(pub semver::Version);
|
||||
|
||||
impl Default for ServerVersion {
|
||||
fn default() -> Self {
|
||||
Self(DEFAULT_SERVER_VERSION.clone())
|
||||
}
|
||||
}
|
||||
|
||||
impl ServerVersion {
|
||||
pub fn parse(version: &str) -> Result<Self> {
|
||||
let version = Self(
|
||||
semver::Version::parse(version).map_err(|e| Error::InvalidInput {
|
||||
message: e.to_string(),
|
||||
})?,
|
||||
);
|
||||
Ok(version)
|
||||
}
|
||||
|
||||
pub fn support_multivector(&self) -> bool {
|
||||
self.0 >= semver::Version::new(0, 2, 0)
|
||||
}
|
||||
}
|
||||
|
||||
#[derive(Deserialize)]
|
||||
struct ListTablesResponse {
|
||||
tables: Vec<String>,
|
||||
@@ -33,7 +62,7 @@ struct ListTablesResponse {
|
||||
#[derive(Debug)]
|
||||
pub struct RemoteDatabase<S: HttpSend = Sender> {
|
||||
client: RestfulLanceDbClient<S>,
|
||||
table_cache: Cache<String, ()>,
|
||||
table_cache: Cache<String, Arc<RemoteTable<S>>>,
|
||||
}
|
||||
|
||||
impl RemoteDatabase {
|
||||
@@ -115,13 +144,19 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
|
||||
}
|
||||
let (request_id, rsp) = self.client.send(req, true).await?;
|
||||
let rsp = self.client.check_response(&request_id, rsp).await?;
|
||||
let version = parse_server_version(&request_id, &rsp)?;
|
||||
let tables = rsp
|
||||
.json::<ListTablesResponse>()
|
||||
.await
|
||||
.err_to_http(request_id)?
|
||||
.tables;
|
||||
for table in &tables {
|
||||
self.table_cache.insert(table.clone(), ()).await;
|
||||
let remote_table = Arc::new(RemoteTable::new(
|
||||
self.client.clone(),
|
||||
table.clone(),
|
||||
version.clone(),
|
||||
));
|
||||
self.table_cache.insert(table.clone(), remote_table).await;
|
||||
}
|
||||
Ok(tables)
|
||||
}
|
||||
@@ -129,6 +164,11 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
|
||||
async fn create_table(&self, request: CreateTableRequest) -> Result<Arc<dyn BaseTable>> {
|
||||
let data = match request.data {
|
||||
CreateTableData::Data(data) => data,
|
||||
CreateTableData::StreamingData(_) => {
|
||||
return Err(Error::NotSupported {
|
||||
message: "Creating a remote table from a streaming source".to_string(),
|
||||
})
|
||||
}
|
||||
CreateTableData::Empty(table_definition) => {
|
||||
let schema = table_definition.schema.clone();
|
||||
Box::new(RecordBatchIterator::new(vec![], schema))
|
||||
@@ -187,34 +227,42 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
|
||||
return Err(crate::Error::InvalidInput { message: body });
|
||||
}
|
||||
}
|
||||
|
||||
self.client.check_response(&request_id, rsp).await?;
|
||||
|
||||
self.table_cache.insert(request.name.clone(), ()).await;
|
||||
|
||||
Ok(Arc::new(RemoteTable::new(
|
||||
let rsp = self.client.check_response(&request_id, rsp).await?;
|
||||
let version = parse_server_version(&request_id, &rsp)?;
|
||||
let table = Arc::new(RemoteTable::new(
|
||||
self.client.clone(),
|
||||
request.name,
|
||||
)))
|
||||
request.name.clone(),
|
||||
version,
|
||||
));
|
||||
self.table_cache
|
||||
.insert(request.name.clone(), table.clone())
|
||||
.await;
|
||||
|
||||
Ok(table)
|
||||
}
|
||||
|
||||
async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>> {
|
||||
// We describe the table to confirm it exists before moving on.
|
||||
if self.table_cache.get(&request.name).await.is_none() {
|
||||
if let Some(table) = self.table_cache.get(&request.name).await {
|
||||
Ok(table.clone())
|
||||
} else {
|
||||
let req = self
|
||||
.client
|
||||
.post(&format!("/v1/table/{}/describe/", request.name));
|
||||
let (request_id, resp) = self.client.send(req, true).await?;
|
||||
if resp.status() == StatusCode::NOT_FOUND {
|
||||
let (request_id, rsp) = self.client.send(req, true).await?;
|
||||
if rsp.status() == StatusCode::NOT_FOUND {
|
||||
return Err(crate::Error::TableNotFound { name: request.name });
|
||||
}
|
||||
self.client.check_response(&request_id, resp).await?;
|
||||
let rsp = self.client.check_response(&request_id, rsp).await?;
|
||||
let version = parse_server_version(&request_id, &rsp)?;
|
||||
let table = Arc::new(RemoteTable::new(
|
||||
self.client.clone(),
|
||||
request.name.clone(),
|
||||
version,
|
||||
));
|
||||
self.table_cache.insert(request.name, table.clone()).await;
|
||||
Ok(table)
|
||||
}
|
||||
|
||||
Ok(Arc::new(RemoteTable::new(
|
||||
self.client.clone(),
|
||||
request.name,
|
||||
)))
|
||||
}
|
||||
|
||||
async fn rename_table(&self, current_name: &str, new_name: &str) -> Result<()> {
|
||||
@@ -224,8 +272,10 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
|
||||
let req = req.json(&serde_json::json!({ "new_table_name": new_name }));
|
||||
let (request_id, resp) = self.client.send(req, false).await?;
|
||||
self.client.check_response(&request_id, resp).await?;
|
||||
self.table_cache.remove(current_name).await;
|
||||
self.table_cache.insert(new_name.into(), ()).await;
|
||||
let table = self.table_cache.remove(current_name).await;
|
||||
if let Some(table) = table {
|
||||
self.table_cache.insert(new_name.into(), table).await;
|
||||
}
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
@@ -10,7 +10,7 @@ use crate::index::IndexStatistics;
|
||||
use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest};
|
||||
use crate::table::{AddDataMode, AnyQuery, Filter};
|
||||
use crate::utils::{supported_btree_data_type, supported_vector_data_type};
|
||||
use crate::{DistanceType, Error};
|
||||
use crate::{DistanceType, Error, Table};
|
||||
use arrow_array::RecordBatchReader;
|
||||
use arrow_ipc::reader::FileReader;
|
||||
use arrow_schema::{DataType, SchemaRef};
|
||||
@@ -24,7 +24,7 @@ use http::StatusCode;
|
||||
use lance::arrow::json::{JsonDataType, JsonSchema};
|
||||
use lance::dataset::scanner::DatasetRecordBatchStream;
|
||||
use lance::dataset::{ColumnAlteration, NewColumnTransform, Version};
|
||||
use lance_datafusion::exec::OneShotExec;
|
||||
use lance_datafusion::exec::{execute_plan, OneShotExec};
|
||||
use serde::{Deserialize, Serialize};
|
||||
use tokio::sync::RwLock;
|
||||
|
||||
@@ -41,6 +41,7 @@ use crate::{
|
||||
|
||||
use super::client::RequestResultExt;
|
||||
use super::client::{HttpSend, RestfulLanceDbClient, Sender};
|
||||
use super::db::ServerVersion;
|
||||
use super::ARROW_STREAM_CONTENT_TYPE;
|
||||
|
||||
#[derive(Debug)]
|
||||
@@ -48,15 +49,21 @@ pub struct RemoteTable<S: HttpSend = Sender> {
|
||||
#[allow(dead_code)]
|
||||
client: RestfulLanceDbClient<S>,
|
||||
name: String,
|
||||
server_version: ServerVersion,
|
||||
|
||||
version: RwLock<Option<u64>>,
|
||||
}
|
||||
|
||||
impl<S: HttpSend> RemoteTable<S> {
|
||||
pub fn new(client: RestfulLanceDbClient<S>, name: String) -> Self {
|
||||
pub fn new(
|
||||
client: RestfulLanceDbClient<S>,
|
||||
name: String,
|
||||
server_version: ServerVersion,
|
||||
) -> Self {
|
||||
Self {
|
||||
client,
|
||||
name,
|
||||
server_version,
|
||||
version: RwLock::new(None),
|
||||
}
|
||||
}
|
||||
@@ -212,10 +219,11 @@ impl<S: HttpSend> RemoteTable<S> {
|
||||
}
|
||||
|
||||
fn apply_vector_query_params(
|
||||
body: &mut serde_json::Value,
|
||||
&self,
|
||||
mut body: serde_json::Value,
|
||||
query: &VectorQueryRequest,
|
||||
) -> Result<()> {
|
||||
Self::apply_query_params(body, &query.base)?;
|
||||
) -> Result<Vec<serde_json::Value>> {
|
||||
Self::apply_query_params(&mut body, &query.base)?;
|
||||
|
||||
// Apply general parameters, before we dispatch based on number of query vectors.
|
||||
body["distance_type"] = serde_json::json!(query.distance_type.unwrap_or_default());
|
||||
@@ -256,25 +264,40 @@ impl<S: HttpSend> RemoteTable<S> {
|
||||
}
|
||||
}
|
||||
|
||||
match query.query_vector.len() {
|
||||
let bodies = match query.query_vector.len() {
|
||||
0 => {
|
||||
// Server takes empty vector, not null or undefined.
|
||||
body["vector"] = serde_json::Value::Array(Vec::new());
|
||||
vec![body]
|
||||
}
|
||||
1 => {
|
||||
body["vector"] = vector_to_json(&query.query_vector[0])?;
|
||||
vec![body]
|
||||
}
|
||||
_ => {
|
||||
let vectors = query
|
||||
.query_vector
|
||||
.iter()
|
||||
.map(vector_to_json)
|
||||
.collect::<Result<Vec<_>>>()?;
|
||||
body["vector"] = serde_json::Value::Array(vectors);
|
||||
if self.server_version.support_multivector() {
|
||||
let vectors = query
|
||||
.query_vector
|
||||
.iter()
|
||||
.map(vector_to_json)
|
||||
.collect::<Result<Vec<_>>>()?;
|
||||
body["vector"] = serde_json::Value::Array(vectors);
|
||||
vec![body]
|
||||
} else {
|
||||
// Server does not support multiple vectors in a single query.
|
||||
// We need to send multiple requests.
|
||||
let mut bodies = Vec::with_capacity(query.query_vector.len());
|
||||
for vector in &query.query_vector {
|
||||
let mut body = body.clone();
|
||||
body["vector"] = vector_to_json(vector)?;
|
||||
bodies.push(body);
|
||||
}
|
||||
bodies
|
||||
}
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
Ok(())
|
||||
Ok(bodies)
|
||||
}
|
||||
|
||||
async fn check_mutable(&self) -> Result<()> {
|
||||
@@ -299,27 +322,34 @@ impl<S: HttpSend> RemoteTable<S> {
|
||||
&self,
|
||||
query: &AnyQuery,
|
||||
_options: QueryExecutionOptions,
|
||||
) -> Result<Pin<Box<dyn RecordBatchStream + Send>>> {
|
||||
) -> Result<Vec<Pin<Box<dyn RecordBatchStream + Send>>>> {
|
||||
let request = self.client.post(&format!("/v1/table/{}/query/", self.name));
|
||||
|
||||
let version = self.current_version().await;
|
||||
let mut body = serde_json::json!({ "version": version });
|
||||
|
||||
match query {
|
||||
let requests = match query {
|
||||
AnyQuery::Query(query) => {
|
||||
Self::apply_query_params(&mut body, query)?;
|
||||
// Empty vector can be passed if no vector search is performed.
|
||||
body["vector"] = serde_json::Value::Array(Vec::new());
|
||||
vec![request.json(&body)]
|
||||
}
|
||||
AnyQuery::VectorQuery(query) => {
|
||||
Self::apply_vector_query_params(&mut body, query)?;
|
||||
let bodies = self.apply_vector_query_params(body, query)?;
|
||||
bodies
|
||||
.into_iter()
|
||||
.map(|body| request.try_clone().unwrap().json(&body))
|
||||
.collect()
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
let request = request.json(&body);
|
||||
let (request_id, response) = self.client.send(request, true).await?;
|
||||
let stream = self.read_arrow_stream(&request_id, response).await?;
|
||||
Ok(stream)
|
||||
let futures = requests.into_iter().map(|req| async move {
|
||||
let (request_id, response) = self.client.send(req, true).await?;
|
||||
self.read_arrow_stream(&request_id, response).await
|
||||
});
|
||||
let streams = futures::future::try_join_all(futures).await?;
|
||||
Ok(streams)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -342,7 +372,7 @@ mod test_utils {
|
||||
use crate::remote::client::test_utils::MockSender;
|
||||
|
||||
impl RemoteTable<MockSender> {
|
||||
pub fn new_mock<F, T>(name: String, handler: F) -> Self
|
||||
pub fn new_mock<F, T>(name: String, handler: F, version: Option<semver::Version>) -> Self
|
||||
where
|
||||
F: Fn(reqwest::Request) -> http::Response<T> + Send + Sync + 'static,
|
||||
T: Into<reqwest::Body>,
|
||||
@@ -351,6 +381,7 @@ mod test_utils {
|
||||
Self {
|
||||
client,
|
||||
name,
|
||||
server_version: version.map(ServerVersion).unwrap_or_default(),
|
||||
version: RwLock::new(None),
|
||||
}
|
||||
}
|
||||
@@ -491,8 +522,17 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
|
||||
query: &AnyQuery,
|
||||
options: QueryExecutionOptions,
|
||||
) -> Result<Arc<dyn ExecutionPlan>> {
|
||||
let stream = self.execute_query(query, options).await?;
|
||||
Ok(Arc::new(OneShotExec::new(stream)))
|
||||
let streams = self.execute_query(query, options).await?;
|
||||
if streams.len() == 1 {
|
||||
let stream = streams.into_iter().next().unwrap();
|
||||
Ok(Arc::new(OneShotExec::new(stream)))
|
||||
} else {
|
||||
let stream_execs = streams
|
||||
.into_iter()
|
||||
.map(|stream| Arc::new(OneShotExec::new(stream)) as Arc<dyn ExecutionPlan>)
|
||||
.collect();
|
||||
Table::multi_vector_plan(stream_execs)
|
||||
}
|
||||
}
|
||||
|
||||
async fn query(
|
||||
@@ -500,8 +540,24 @@ impl<S: HttpSend> BaseTable for RemoteTable<S> {
|
||||
query: &AnyQuery,
|
||||
_options: QueryExecutionOptions,
|
||||
) -> Result<DatasetRecordBatchStream> {
|
||||
let stream = self.execute_query(query, _options).await?;
|
||||
Ok(DatasetRecordBatchStream::new(stream))
|
||||
let streams = self.execute_query(query, _options).await?;
|
||||
|
||||
if streams.len() == 1 {
|
||||
Ok(DatasetRecordBatchStream::new(
|
||||
streams.into_iter().next().unwrap(),
|
||||
))
|
||||
} else {
|
||||
let stream_execs = streams
|
||||
.into_iter()
|
||||
.map(|stream| Arc::new(OneShotExec::new(stream)) as Arc<dyn ExecutionPlan>)
|
||||
.collect();
|
||||
let plan = Table::multi_vector_plan(stream_execs)?;
|
||||
|
||||
Ok(DatasetRecordBatchStream::new(execute_plan(
|
||||
plan,
|
||||
Default::default(),
|
||||
)?))
|
||||
}
|
||||
}
|
||||
async fn update(&self, update: UpdateBuilder) -> Result<u64> {
|
||||
self.check_mutable().await?;
|
||||
@@ -884,8 +940,10 @@ mod tests {
|
||||
use futures::{future::BoxFuture, StreamExt, TryFutureExt};
|
||||
use lance_index::scalar::FullTextSearchQuery;
|
||||
use reqwest::Body;
|
||||
use rstest::rstest;
|
||||
|
||||
use crate::index::vector::IvfFlatIndexBuilder;
|
||||
use crate::remote::db::DEFAULT_SERVER_VERSION;
|
||||
use crate::remote::JSON_CONTENT_TYPE;
|
||||
use crate::{
|
||||
index::{vector::IvfPqIndexBuilder, Index, IndexStatistics, IndexType},
|
||||
@@ -1554,9 +1612,12 @@ mod tests {
|
||||
.unwrap();
|
||||
}
|
||||
|
||||
#[rstest]
|
||||
#[case(DEFAULT_SERVER_VERSION.clone())]
|
||||
#[case(semver::Version::new(0, 2, 0))]
|
||||
#[tokio::test]
|
||||
async fn test_query_multiple_vectors() {
|
||||
let table = Table::new_with_handler("my_table", |request| {
|
||||
async fn test_batch_queries(#[case] version: semver::Version) {
|
||||
let table = Table::new_with_handler_version("my_table", version.clone(), move |request| {
|
||||
assert_eq!(request.method(), "POST");
|
||||
assert_eq!(request.url().path(), "/v1/table/my_table/query/");
|
||||
assert_eq!(
|
||||
@@ -1566,20 +1627,32 @@ mod tests {
|
||||
let body: serde_json::Value =
|
||||
serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()).unwrap();
|
||||
let query_vectors = body["vector"].as_array().unwrap();
|
||||
assert_eq!(query_vectors.len(), 2);
|
||||
assert_eq!(query_vectors[0].as_array().unwrap().len(), 3);
|
||||
assert_eq!(query_vectors[1].as_array().unwrap().len(), 3);
|
||||
let data = RecordBatch::try_new(
|
||||
Arc::new(Schema::new(vec![
|
||||
Field::new("a", DataType::Int32, false),
|
||||
Field::new("query_index", DataType::Int32, false),
|
||||
])),
|
||||
vec![
|
||||
Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5, 6])),
|
||||
Arc::new(Int32Array::from(vec![0, 0, 0, 1, 1, 1])),
|
||||
],
|
||||
)
|
||||
.unwrap();
|
||||
let version = ServerVersion(version.clone());
|
||||
let data = if version.support_multivector() {
|
||||
assert_eq!(query_vectors.len(), 2);
|
||||
assert_eq!(query_vectors[0].as_array().unwrap().len(), 3);
|
||||
assert_eq!(query_vectors[1].as_array().unwrap().len(), 3);
|
||||
RecordBatch::try_new(
|
||||
Arc::new(Schema::new(vec![
|
||||
Field::new("a", DataType::Int32, false),
|
||||
Field::new("query_index", DataType::Int32, false),
|
||||
])),
|
||||
vec![
|
||||
Arc::new(Int32Array::from(vec![1, 2, 3, 4, 5, 6])),
|
||||
Arc::new(Int32Array::from(vec![0, 0, 0, 1, 1, 1])),
|
||||
],
|
||||
)
|
||||
.unwrap()
|
||||
} else {
|
||||
// it's single flat vector, so here the length is dim
|
||||
assert_eq!(query_vectors.len(), 3);
|
||||
RecordBatch::try_new(
|
||||
Arc::new(Schema::new(vec![Field::new("a", DataType::Int32, false)])),
|
||||
vec![Arc::new(Int32Array::from(vec![1, 2, 3]))],
|
||||
)
|
||||
.unwrap()
|
||||
};
|
||||
|
||||
let response_body = write_ipc_file(&data);
|
||||
http::Response::builder()
|
||||
.status(200)
|
||||
|
||||
@@ -4,9 +4,12 @@
|
||||
use std::io::Cursor;
|
||||
|
||||
use arrow_array::RecordBatchReader;
|
||||
use reqwest::Response;
|
||||
|
||||
use crate::Result;
|
||||
|
||||
use super::db::ServerVersion;
|
||||
|
||||
pub fn batches_to_ipc_bytes(batches: impl RecordBatchReader) -> Result<Vec<u8>> {
|
||||
const WRITE_BUF_SIZE: usize = 4096;
|
||||
let buf = Vec::with_capacity(WRITE_BUF_SIZE);
|
||||
@@ -22,3 +25,24 @@ pub fn batches_to_ipc_bytes(batches: impl RecordBatchReader) -> Result<Vec<u8>>
|
||||
}
|
||||
Ok(buf.into_inner())
|
||||
}
|
||||
|
||||
pub fn parse_server_version(req_id: &str, rsp: &Response) -> Result<ServerVersion> {
|
||||
let version = rsp
|
||||
.headers()
|
||||
.get("phalanx-version")
|
||||
.map(|v| {
|
||||
let v = v.to_str().map_err(|e| crate::Error::Http {
|
||||
source: e.into(),
|
||||
request_id: req_id.to_string(),
|
||||
status_code: Some(rsp.status()),
|
||||
})?;
|
||||
ServerVersion::parse(v).map_err(|e| crate::Error::Http {
|
||||
source: e.into(),
|
||||
request_id: req_id.to_string(),
|
||||
status_code: Some(rsp.status()),
|
||||
})
|
||||
})
|
||||
.transpose()?
|
||||
.unwrap_or_default();
|
||||
Ok(version)
|
||||
}
|
||||
|
||||
@@ -28,13 +28,13 @@ pub use lance::dataset::NewColumnTransform;
|
||||
pub use lance::dataset::ReadParams;
|
||||
pub use lance::dataset::Version;
|
||||
use lance::dataset::{
|
||||
Dataset, InsertBuilder, UpdateBuilder as LanceUpdateBuilder, WhenMatched, WriteMode,
|
||||
WriteParams,
|
||||
InsertBuilder, UpdateBuilder as LanceUpdateBuilder, WhenMatched, WriteMode, WriteParams,
|
||||
};
|
||||
use lance::dataset::{MergeInsertBuilder as LanceMergeInsertBuilder, WhenNotMatchedBySource};
|
||||
use lance::index::vector::utils::infer_vector_dim;
|
||||
use lance::io::WrappingObjectStore;
|
||||
use lance_datafusion::exec::execute_plan;
|
||||
use lance_datafusion::utils::StreamingWriteSource;
|
||||
use lance_index::vector::hnsw::builder::HnswBuildParams;
|
||||
use lance_index::vector::ivf::IvfBuildParams;
|
||||
use lance_index::vector::pq::PQBuildParams;
|
||||
@@ -509,6 +509,27 @@ mod test_utils {
|
||||
let inner = Arc::new(crate::remote::table::RemoteTable::new_mock(
|
||||
name.into(),
|
||||
handler,
|
||||
None,
|
||||
));
|
||||
Self {
|
||||
inner,
|
||||
// Registry is unused.
|
||||
embedding_registry: Arc::new(MemoryRegistry::new()),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn new_with_handler_version<T>(
|
||||
name: impl Into<String>,
|
||||
version: semver::Version,
|
||||
handler: impl Fn(reqwest::Request) -> http::Response<T> + Clone + Send + Sync + 'static,
|
||||
) -> Self
|
||||
where
|
||||
T: Into<reqwest::Body>,
|
||||
{
|
||||
let inner = Arc::new(crate::remote::table::RemoteTable::new_mock(
|
||||
name.into(),
|
||||
handler,
|
||||
Some(version),
|
||||
));
|
||||
Self {
|
||||
inner,
|
||||
@@ -1243,7 +1264,7 @@ impl NativeTable {
|
||||
pub async fn create(
|
||||
uri: &str,
|
||||
name: &str,
|
||||
batches: impl RecordBatchReader + Send + 'static,
|
||||
batches: impl StreamingWriteSource,
|
||||
write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
|
||||
params: Option<WriteParams>,
|
||||
read_consistency_interval: Option<std::time::Duration>,
|
||||
@@ -1258,7 +1279,9 @@ impl NativeTable {
|
||||
None => params,
|
||||
};
|
||||
|
||||
let dataset = Dataset::write(batches, uri, Some(params))
|
||||
let insert_builder = InsertBuilder::new(uri).with_params(¶ms);
|
||||
let dataset = insert_builder
|
||||
.execute_stream(batches)
|
||||
.await
|
||||
.map_err(|e| match e {
|
||||
lance::Error::DatasetAlreadyExists { .. } => Error::TableAlreadyExists {
|
||||
@@ -1266,6 +1289,7 @@ impl NativeTable {
|
||||
},
|
||||
source => Error::Lance { source },
|
||||
})?;
|
||||
|
||||
Ok(Self {
|
||||
name: name.to_string(),
|
||||
uri: uri.to_string(),
|
||||
@@ -2370,8 +2394,9 @@ mod tests {
|
||||
use arrow_data::ArrayDataBuilder;
|
||||
use arrow_schema::{DataType, Field, Schema, TimeUnit};
|
||||
use futures::TryStreamExt;
|
||||
use lance::dataset::{Dataset, WriteMode};
|
||||
use lance::dataset::WriteMode;
|
||||
use lance::io::{ObjectStoreParams, WrappingObjectStore};
|
||||
use lance::Dataset;
|
||||
use rand::Rng;
|
||||
use tempfile::tempdir;
|
||||
|
||||
@@ -2421,6 +2446,7 @@ mod tests {
|
||||
let uri = tmp_dir.path().to_str().unwrap();
|
||||
|
||||
let batches = make_test_batches();
|
||||
let batches = Box::new(batches) as Box<dyn RecordBatchReader + Send>;
|
||||
let table = NativeTable::create(uri, "test", batches, None, None, None)
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
@@ -4,6 +4,7 @@
|
||||
//! This module contains adapters to allow LanceDB tables to be used as DataFusion table providers.
|
||||
use std::{collections::HashMap, sync::Arc};
|
||||
|
||||
use arrow_array::RecordBatch;
|
||||
use arrow_schema::Schema as ArrowSchema;
|
||||
use async_trait::async_trait;
|
||||
use datafusion_catalog::{Session, TableProvider};
|
||||
@@ -104,7 +105,9 @@ impl ExecutionPlan for MetadataEraserExec {
|
||||
) -> DataFusionResult<SendableRecordBatchStream> {
|
||||
let stream = self.input.execute(partition, context)?;
|
||||
let schema = self.schema.clone();
|
||||
let stream = stream.map_ok(move |batch| batch.with_schema(schema.clone()).unwrap());
|
||||
let stream = stream.map_ok(move |batch| {
|
||||
RecordBatch::try_new(schema.clone(), batch.columns().to_vec()).unwrap()
|
||||
});
|
||||
Ok(
|
||||
Box::pin(RecordBatchStreamAdapter::new(self.schema.clone(), stream))
|
||||
as SendableRecordBatchStream,
|
||||
@@ -148,7 +151,7 @@ impl TableProvider for BaseTableAdapter {
|
||||
|
||||
async fn scan(
|
||||
&self,
|
||||
_state: &dyn Session,
|
||||
state: &dyn Session,
|
||||
projection: Option<&Vec<usize>>,
|
||||
filters: &[Expr],
|
||||
limit: Option<usize>,
|
||||
@@ -174,9 +177,15 @@ impl TableProvider for BaseTableAdapter {
|
||||
// Need to override the default of 10
|
||||
query.limit = None;
|
||||
}
|
||||
|
||||
let options = QueryExecutionOptions {
|
||||
max_batch_length: state.config().batch_size() as u32,
|
||||
..Default::default()
|
||||
};
|
||||
|
||||
let plan = self
|
||||
.table
|
||||
.create_plan(&AnyQuery::Query(query), QueryExecutionOptions::default())
|
||||
.create_plan(&AnyQuery::Query(query), options)
|
||||
.map_err(|err| DataFusionError::External(err.into()))
|
||||
.await?;
|
||||
Ok(Arc::new(MetadataEraserExec::new(plan)))
|
||||
@@ -201,14 +210,18 @@ pub mod tests {
|
||||
|
||||
use arrow::array::AsArray;
|
||||
use arrow_array::{
|
||||
Int32Array, RecordBatch, RecordBatchIterator, RecordBatchReader, UInt32Array,
|
||||
BinaryArray, Float64Array, Int32Array, Int64Array, RecordBatch, RecordBatchIterator,
|
||||
RecordBatchReader, StringArray, UInt32Array,
|
||||
};
|
||||
use arrow_schema::{DataType, Field, Schema};
|
||||
use datafusion::{datasource::provider_as_source, prelude::SessionContext};
|
||||
use datafusion::{
|
||||
datasource::provider_as_source,
|
||||
prelude::{SessionConfig, SessionContext},
|
||||
};
|
||||
use datafusion_catalog::TableProvider;
|
||||
use datafusion_execution::SendableRecordBatchStream;
|
||||
use datafusion_expr::{col, lit, LogicalPlan, LogicalPlanBuilder};
|
||||
use futures::TryStreamExt;
|
||||
use futures::{StreamExt, TryStreamExt};
|
||||
use tempfile::tempdir;
|
||||
|
||||
use crate::{
|
||||
@@ -238,9 +251,49 @@ pub mod tests {
|
||||
)
|
||||
}
|
||||
|
||||
fn make_tbl_two_test_batches() -> impl RecordBatchReader + Send + Sync + 'static {
|
||||
let metadata = HashMap::from_iter(vec![("foo".to_string(), "bar".to_string())]);
|
||||
let schema = Arc::new(
|
||||
Schema::new(vec![
|
||||
Field::new("ints", DataType::Int64, true),
|
||||
Field::new("strings", DataType::Utf8, true),
|
||||
Field::new("floats", DataType::Float64, true),
|
||||
Field::new("jsons", DataType::Utf8, true),
|
||||
Field::new("bins", DataType::Binary, true),
|
||||
Field::new("nodates", DataType::Utf8, true),
|
||||
])
|
||||
.with_metadata(metadata),
|
||||
);
|
||||
RecordBatchIterator::new(
|
||||
vec![RecordBatch::try_new(
|
||||
schema.clone(),
|
||||
vec![
|
||||
Arc::new(Int64Array::from_iter_values(0..1000)),
|
||||
Arc::new(StringArray::from_iter_values(
|
||||
(0..1000).map(|i| i.to_string()),
|
||||
)),
|
||||
Arc::new(Float64Array::from_iter_values((0..1000).map(|i| i as f64))),
|
||||
Arc::new(StringArray::from_iter_values(
|
||||
(0..1000).map(|i| format!("{{\"i\":{}}}", i)),
|
||||
)),
|
||||
Arc::new(BinaryArray::from_iter_values(
|
||||
(0..1000).map(|i| (i as u32).to_be_bytes().to_vec()),
|
||||
)),
|
||||
Arc::new(StringArray::from_iter_values(
|
||||
(0..1000).map(|i| i.to_string()),
|
||||
)),
|
||||
],
|
||||
)],
|
||||
schema,
|
||||
)
|
||||
}
|
||||
|
||||
struct TestFixture {
|
||||
_tmp_dir: tempfile::TempDir,
|
||||
// An adapter for a table with make_test_batches batches
|
||||
adapter: Arc<BaseTableAdapter>,
|
||||
// an adapter for a table with make_tbl_two_test_batches batches
|
||||
adapter2: Arc<BaseTableAdapter>,
|
||||
}
|
||||
|
||||
impl TestFixture {
|
||||
@@ -262,20 +315,40 @@ pub mod tests {
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let tbl2 = db
|
||||
.create_table("tbl2", make_tbl_two_test_batches())
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let adapter = Arc::new(
|
||||
BaseTableAdapter::try_new(tbl.base_table().clone())
|
||||
.await
|
||||
.unwrap(),
|
||||
);
|
||||
|
||||
let adapter2 = Arc::new(
|
||||
BaseTableAdapter::try_new(tbl2.base_table().clone())
|
||||
.await
|
||||
.unwrap(),
|
||||
);
|
||||
|
||||
Self {
|
||||
_tmp_dir: tmp_dir,
|
||||
adapter,
|
||||
adapter2,
|
||||
}
|
||||
}
|
||||
|
||||
async fn plan_to_stream(plan: LogicalPlan) -> SendableRecordBatchStream {
|
||||
SessionContext::new()
|
||||
Self::plan_to_stream_with_config(plan, SessionConfig::default()).await
|
||||
}
|
||||
|
||||
async fn plan_to_stream_with_config(
|
||||
plan: LogicalPlan,
|
||||
config: SessionConfig,
|
||||
) -> SendableRecordBatchStream {
|
||||
SessionContext::new_with_config(config)
|
||||
.execute_logical_plan(plan)
|
||||
.await
|
||||
.unwrap()
|
||||
@@ -309,7 +382,7 @@ pub mod tests {
|
||||
}
|
||||
|
||||
async fn check_plan(plan: LogicalPlan, expected: &str) {
|
||||
let physical_plan = dbg!(Self::plan_to_explain(plan).await);
|
||||
let physical_plan = Self::plan_to_explain(plan).await;
|
||||
let mut lines_checked = 0;
|
||||
for (actual_line, expected_line) in physical_plan.lines().zip(expected.lines()) {
|
||||
lines_checked += 1;
|
||||
@@ -325,6 +398,30 @@ pub mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_batch_size() {
|
||||
let fixture = TestFixture::new().await;
|
||||
|
||||
let plan = LogicalPlanBuilder::scan("foo", provider_as_source(fixture.adapter2), None)
|
||||
.unwrap()
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let config = SessionConfig::default().with_batch_size(100);
|
||||
|
||||
let stream = TestFixture::plan_to_stream_with_config(plan.clone(), config).await;
|
||||
|
||||
let batch_count = stream.count().await;
|
||||
assert_eq!(batch_count, 10);
|
||||
|
||||
let config = SessionConfig::default().with_batch_size(250);
|
||||
|
||||
let stream = TestFixture::plan_to_stream_with_config(plan, config).await;
|
||||
|
||||
let batch_count = stream.count().await;
|
||||
assert_eq!(batch_count, 4);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_metadata_erased() {
|
||||
let fixture = TestFixture::new().await;
|
||||
@@ -343,6 +440,27 @@ pub mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_metadata_erased_with_filter() {
|
||||
// This is a regression test where the metadata eraser was not properly erasing metadata
|
||||
let fixture = TestFixture::new().await;
|
||||
|
||||
assert!(fixture.adapter.schema().metadata().is_empty());
|
||||
|
||||
let plan = LogicalPlanBuilder::scan("foo", provider_as_source(fixture.adapter2), None)
|
||||
.unwrap()
|
||||
.filter(col("ints").lt(lit(10)))
|
||||
.unwrap()
|
||||
.build()
|
||||
.unwrap();
|
||||
|
||||
let mut stream = TestFixture::plan_to_stream(plan).await;
|
||||
|
||||
while let Some(batch) = stream.try_next().await.unwrap() {
|
||||
assert!(batch.schema().metadata().is_empty());
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_filter_pushdown() {
|
||||
let fixture = TestFixture::new().await;
|
||||
|
||||
Reference in New Issue
Block a user