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codex/upda
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
beaf2e35dc |
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
|
||||
current_version = "0.27.2-beta.1"
|
||||
current_version = "0.27.0-beta.5"
|
||||
parse = """(?x)
|
||||
(?P<major>0|[1-9]\\d*)\\.
|
||||
(?P<minor>0|[1-9]\\d*)\\.
|
||||
|
||||
@@ -23,10 +23,8 @@ runs:
|
||||
steps:
|
||||
- name: CONFIRM ARM BUILD
|
||||
shell: bash
|
||||
env:
|
||||
ARM_BUILD: ${{ inputs.arm-build }}
|
||||
run: |
|
||||
echo "ARM BUILD: $ARM_BUILD"
|
||||
echo "ARM BUILD: ${{ inputs.arm-build }}"
|
||||
- name: Build x86_64 Manylinux wheel
|
||||
if: ${{ inputs.arm-build == 'false' }}
|
||||
uses: PyO3/maturin-action@v1
|
||||
|
||||
1
.github/workflows/nodejs.yml
vendored
1
.github/workflows/nodejs.yml
vendored
@@ -7,7 +7,6 @@ on:
|
||||
pull_request:
|
||||
paths:
|
||||
- Cargo.toml
|
||||
- Cargo.lock
|
||||
- nodejs/**
|
||||
- rust/**
|
||||
- docs/src/js/**
|
||||
|
||||
17
.github/workflows/npm-publish.yml
vendored
17
.github/workflows/npm-publish.yml
vendored
@@ -19,7 +19,6 @@ on:
|
||||
paths:
|
||||
- .github/workflows/npm-publish.yml
|
||||
- Cargo.toml # Change in dependency frequently breaks builds
|
||||
- Cargo.lock
|
||||
|
||||
concurrency:
|
||||
group: ${{ github.workflow }}-${{ github.ref }}
|
||||
@@ -125,12 +124,7 @@ jobs:
|
||||
pre_build: |-
|
||||
set -e &&
|
||||
apt-get update &&
|
||||
apt-get install -y protobuf-compiler pkg-config &&
|
||||
# The base image (manylinux2014-cross) sets TARGET_CC to the old
|
||||
# GCC 4.8 cross-compiler. aws-lc-sys checks TARGET_CC before CC,
|
||||
# so it picks up GCC even though the napi-rs image sets CC=clang.
|
||||
# Override to use the image's clang-18 which supports -fuse-ld=lld.
|
||||
export TARGET_CC=clang TARGET_CXX=clang++
|
||||
apt-get install -y protobuf-compiler pkg-config
|
||||
- target: x86_64-unknown-linux-musl
|
||||
# This one seems to need some extra memory
|
||||
host: ubuntu-2404-8x-x64
|
||||
@@ -150,10 +144,9 @@ jobs:
|
||||
set -e &&
|
||||
apt-get update &&
|
||||
apt-get install -y protobuf-compiler pkg-config &&
|
||||
export TARGET_CC=clang TARGET_CXX=clang++ &&
|
||||
# The manylinux2014 sysroot has glibc 2.17 headers which lack
|
||||
# AT_HWCAP2 (added in Linux 3.17). Define it for aws-lc-sys.
|
||||
export CFLAGS="$CFLAGS -DAT_HWCAP2=26" &&
|
||||
# https://github.com/aws/aws-lc-rs/issues/737#issuecomment-2725918627
|
||||
ln -s /usr/aarch64-unknown-linux-gnu/lib/gcc/aarch64-unknown-linux-gnu/4.8.5/crtbeginS.o /usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot/usr/lib/crtbeginS.o &&
|
||||
ln -s /usr/aarch64-unknown-linux-gnu/lib/gcc /usr/aarch64-unknown-linux-gnu/aarch64-unknown-linux-gnu/sysroot/usr/lib/gcc &&
|
||||
rustup target add aarch64-unknown-linux-gnu
|
||||
- target: aarch64-unknown-linux-musl
|
||||
host: ubuntu-2404-8x-x64
|
||||
@@ -273,7 +266,7 @@ jobs:
|
||||
- target: x86_64-unknown-linux-gnu
|
||||
host: ubuntu-latest
|
||||
- target: aarch64-unknown-linux-gnu
|
||||
host: ubuntu-2404-8x-arm64
|
||||
host: buildjet-16vcpu-ubuntu-2204-arm
|
||||
node:
|
||||
- '20'
|
||||
runs-on: ${{ matrix.settings.host }}
|
||||
|
||||
1
.github/workflows/pypi-publish.yml
vendored
1
.github/workflows/pypi-publish.yml
vendored
@@ -9,7 +9,6 @@ on:
|
||||
paths:
|
||||
- .github/workflows/pypi-publish.yml
|
||||
- Cargo.toml # Change in dependency frequently breaks builds
|
||||
- Cargo.lock
|
||||
|
||||
env:
|
||||
PIP_EXTRA_INDEX_URL: "https://pypi.fury.io/lance-format/ https://pypi.fury.io/lancedb/"
|
||||
|
||||
1
.github/workflows/python.yml
vendored
1
.github/workflows/python.yml
vendored
@@ -7,7 +7,6 @@ on:
|
||||
pull_request:
|
||||
paths:
|
||||
- Cargo.toml
|
||||
- Cargo.lock
|
||||
- python/**
|
||||
- rust/**
|
||||
- .github/workflows/python.yml
|
||||
|
||||
17
.github/workflows/rust.yml
vendored
17
.github/workflows/rust.yml
vendored
@@ -7,7 +7,6 @@ on:
|
||||
pull_request:
|
||||
paths:
|
||||
- Cargo.toml
|
||||
- Cargo.lock
|
||||
- rust/**
|
||||
- .github/workflows/rust.yml
|
||||
|
||||
@@ -207,14 +206,14 @@ jobs:
|
||||
- name: Downgrade dependencies
|
||||
# These packages have newer requirements for MSRV
|
||||
run: |
|
||||
cargo update -p aws-sdk-bedrockruntime --precise 1.77.0
|
||||
cargo update -p aws-sdk-dynamodb --precise 1.68.0
|
||||
cargo update -p aws-config --precise 1.6.0
|
||||
cargo update -p aws-sdk-kms --precise 1.63.0
|
||||
cargo update -p aws-sdk-s3 --precise 1.79.0
|
||||
cargo update -p aws-sdk-sso --precise 1.62.0
|
||||
cargo update -p aws-sdk-ssooidc --precise 1.63.0
|
||||
cargo update -p aws-sdk-sts --precise 1.63.0
|
||||
cargo update -p aws-sdk-bedrockruntime --precise 1.64.0
|
||||
cargo update -p aws-sdk-dynamodb --precise 1.55.0
|
||||
cargo update -p aws-config --precise 1.5.10
|
||||
cargo update -p aws-sdk-kms --precise 1.51.0
|
||||
cargo update -p aws-sdk-s3 --precise 1.65.0
|
||||
cargo update -p aws-sdk-sso --precise 1.50.0
|
||||
cargo update -p aws-sdk-ssooidc --precise 1.51.0
|
||||
cargo update -p aws-sdk-sts --precise 1.51.0
|
||||
cargo update -p home --precise 0.5.9
|
||||
- name: cargo +${{ matrix.msrv }} check
|
||||
env:
|
||||
|
||||
2115
Cargo.lock
generated
2115
Cargo.lock
generated
File diff suppressed because it is too large
Load Diff
28
Cargo.toml
28
Cargo.toml
@@ -15,20 +15,20 @@ categories = ["database-implementations"]
|
||||
rust-version = "1.91.0"
|
||||
|
||||
[workspace.dependencies]
|
||||
lance = { version = "=4.0.0", default-features = false }
|
||||
lance-core = { version = "=4.0.0" }
|
||||
lance-datagen = { version = "=4.0.0" }
|
||||
lance-file = { version = "=4.0.0" }
|
||||
lance-io = { version = "=4.0.0", default-features = false }
|
||||
lance-index = { version = "=4.0.0" }
|
||||
lance-linalg = { version = "=4.0.0" }
|
||||
lance-namespace = { version = "=4.0.0" }
|
||||
lance-namespace-impls = { version = "=4.0.0", default-features = false }
|
||||
lance-table = { version = "=4.0.0" }
|
||||
lance-testing = { version = "=4.0.0" }
|
||||
lance-datafusion = { version = "=4.0.0" }
|
||||
lance-encoding = { version = "=4.0.0" }
|
||||
lance-arrow = { version = "=4.0.0" }
|
||||
lance = { "version" = "=4.0.0-beta.11", default-features = false, "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-core = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-datagen = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-file = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-io = { "version" = "=4.0.0-beta.11", default-features = false, "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-index = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-linalg = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-namespace = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-namespace-impls = { "version" = "=4.0.0-beta.11", default-features = false, "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-table = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-testing = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-datafusion = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-encoding = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
lance-arrow = { "version" = "=4.0.0-beta.11", "tag" = "v4.0.0-beta.11", "git" = "https://github.com/lance-format/lance.git" }
|
||||
ahash = "0.8"
|
||||
# Note that this one does not include pyarrow
|
||||
arrow = { version = "57.2", optional = false }
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import functools
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
@@ -27,7 +26,6 @@ SEMVER_RE = re.compile(
|
||||
)
|
||||
|
||||
|
||||
@functools.total_ordering
|
||||
@dataclass(frozen=True)
|
||||
class SemVer:
|
||||
major: int
|
||||
@@ -158,9 +156,7 @@ def read_current_version(repo_root: Path) -> str:
|
||||
|
||||
|
||||
def determine_latest_tag(tags: Iterable[TagInfo]) -> TagInfo:
|
||||
# Stable releases (no prerelease) are always preferred over pre-releases.
|
||||
# Within each group, standard semver ordering applies.
|
||||
return max(tags, key=lambda tag: (not tag.semver.prerelease, tag.semver))
|
||||
return max(tags, key=lambda tag: tag.semver)
|
||||
|
||||
|
||||
def write_outputs(args: argparse.Namespace, payload: dict) -> None:
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
version: "3.9"
|
||||
services:
|
||||
localstack:
|
||||
image: localstack/localstack:4.0
|
||||
image: localstack/localstack:3.3
|
||||
ports:
|
||||
- 4566:4566
|
||||
environment:
|
||||
|
||||
@@ -1,8 +1,8 @@
|
||||
mkdocs==1.6.1
|
||||
mkdocs==1.5.3
|
||||
mkdocs-jupyter==0.24.1
|
||||
mkdocs-material==9.6.23
|
||||
mkdocs-material==9.5.3
|
||||
mkdocs-autorefs>=0.5,<=1.0
|
||||
mkdocstrings[python]>=0.24,<1.0
|
||||
mkdocstrings[python]==0.25.2
|
||||
griffe>=0.40,<1.0
|
||||
mkdocs-render-swagger-plugin>=0.1.0
|
||||
pydantic>=2.0,<3.0
|
||||
|
||||
@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
|
||||
<dependency>
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-core</artifactId>
|
||||
<version>0.27.2-beta.1</version>
|
||||
<version>0.27.0-beta.5</version>
|
||||
</dependency>
|
||||
```
|
||||
|
||||
|
||||
@@ -485,7 +485,19 @@ Modeled after ``VACUUM`` in PostgreSQL.
|
||||
- Prune: Removes old versions of the dataset
|
||||
- Index: Optimizes the indices, adding new data to existing indices
|
||||
|
||||
The frequency an application should call optimize is based on the frequency of
|
||||
Experimental API
|
||||
----------------
|
||||
|
||||
The optimization process is undergoing active development and may change.
|
||||
Our goal with these changes is to improve the performance of optimization and
|
||||
reduce the complexity.
|
||||
|
||||
That being said, it is essential today to run optimize if you want the best
|
||||
performance. It should be stable and safe to use in production, but it our
|
||||
hope that the API may be simplified (or not even need to be called) in the
|
||||
future.
|
||||
|
||||
The frequency an application shoudl call optimize is based on the frequency of
|
||||
data modifications. If data is frequently added, deleted, or updated then
|
||||
optimize should be run frequently. A good rule of thumb is to run optimize if
|
||||
you have added or modified 100,000 or more records or run more than 20 data
|
||||
|
||||
@@ -37,12 +37,3 @@ tbl.optimize({cleanupOlderThan: new Date()});
|
||||
```ts
|
||||
deleteUnverified: boolean;
|
||||
```
|
||||
|
||||
Because they may be part of an in-progress transaction, files newer than
|
||||
7 days old are not deleted by default. If you are sure that there are no
|
||||
in-progress transactions, then you can set this to true to delete all
|
||||
files older than `cleanupOlderThan`.
|
||||
|
||||
**WARNING**: This should only be set to true if you can guarantee that
|
||||
no other process is currently working on this dataset. Otherwise the
|
||||
dataset could be put into a corrupted state.
|
||||
|
||||
@@ -52,7 +52,7 @@ new EmbeddingFunction<T, M>(): EmbeddingFunction<T, M>
|
||||
### computeQueryEmbeddings()
|
||||
|
||||
```ts
|
||||
computeQueryEmbeddings(data): Promise<number[] | Uint8Array | Float32Array | Float64Array>
|
||||
computeQueryEmbeddings(data): Promise<number[] | Float32Array | Float64Array>
|
||||
```
|
||||
|
||||
Compute the embeddings for a single query
|
||||
@@ -63,7 +63,7 @@ Compute the embeddings for a single query
|
||||
|
||||
#### Returns
|
||||
|
||||
`Promise`<`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`>
|
||||
`Promise`<`number`[] \| `Float32Array` \| `Float64Array`>
|
||||
|
||||
***
|
||||
|
||||
|
||||
@@ -37,7 +37,7 @@ new TextEmbeddingFunction<M>(): TextEmbeddingFunction<M>
|
||||
### computeQueryEmbeddings()
|
||||
|
||||
```ts
|
||||
computeQueryEmbeddings(data): Promise<number[] | Uint8Array | Float32Array | Float64Array>
|
||||
computeQueryEmbeddings(data): Promise<number[] | Float32Array | Float64Array>
|
||||
```
|
||||
|
||||
Compute the embeddings for a single query
|
||||
@@ -48,7 +48,7 @@ Compute the embeddings for a single query
|
||||
|
||||
#### Returns
|
||||
|
||||
`Promise`<`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`>
|
||||
`Promise`<`number`[] \| `Float32Array` \| `Float64Array`>
|
||||
|
||||
#### Overrides
|
||||
|
||||
|
||||
@@ -7,10 +7,5 @@
|
||||
# Type Alias: IntoVector
|
||||
|
||||
```ts
|
||||
type IntoVector:
|
||||
| Float32Array
|
||||
| Float64Array
|
||||
| Uint8Array
|
||||
| number[]
|
||||
| Promise<Float32Array | Float64Array | Uint8Array | number[]>;
|
||||
type IntoVector: Float32Array | Float64Array | number[] | Promise<Float32Array | Float64Array | number[]>;
|
||||
```
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
<parent>
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.27.2-beta.1</version>
|
||||
<version>0.27.0-beta.5</version>
|
||||
<relativePath>../pom.xml</relativePath>
|
||||
</parent>
|
||||
|
||||
|
||||
@@ -6,7 +6,7 @@
|
||||
|
||||
<groupId>com.lancedb</groupId>
|
||||
<artifactId>lancedb-parent</artifactId>
|
||||
<version>0.27.2-beta.1</version>
|
||||
<version>0.27.0-beta.5</version>
|
||||
<packaging>pom</packaging>
|
||||
<name>${project.artifactId}</name>
|
||||
<description>LanceDB Java SDK Parent POM</description>
|
||||
@@ -28,7 +28,7 @@
|
||||
<properties>
|
||||
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
|
||||
<arrow.version>15.0.0</arrow.version>
|
||||
<lance-core.version>3.0.1</lance-core.version>
|
||||
<lance-core.version>4.0.0-beta.11</lance-core.version>
|
||||
<spotless.skip>false</spotless.skip>
|
||||
<spotless.version>2.30.0</spotless.version>
|
||||
<spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
[package]
|
||||
name = "lancedb-nodejs"
|
||||
edition.workspace = true
|
||||
version = "0.27.2-beta.1"
|
||||
version = "0.27.0-beta.5"
|
||||
license.workspace = true
|
||||
description.workspace = true
|
||||
repository.workspace = true
|
||||
@@ -15,8 +15,6 @@ crate-type = ["cdylib"]
|
||||
async-trait.workspace = true
|
||||
arrow-ipc.workspace = true
|
||||
arrow-array.workspace = true
|
||||
arrow-buffer = "57.2"
|
||||
half.workspace = true
|
||||
arrow-schema.workspace = true
|
||||
env_logger.workspace = true
|
||||
futures.workspace = true
|
||||
|
||||
@@ -1,110 +0,0 @@
|
||||
// SPDX-License-Identifier: Apache-2.0
|
||||
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
import * as tmp from "tmp";
|
||||
|
||||
import { type Table, connect } from "../lancedb";
|
||||
import {
|
||||
Field,
|
||||
FixedSizeList,
|
||||
Float32,
|
||||
Int64,
|
||||
Schema,
|
||||
makeArrowTable,
|
||||
} from "../lancedb/arrow";
|
||||
|
||||
describe("Vector query with different typed arrays", () => {
|
||||
let tmpDir: tmp.DirResult;
|
||||
|
||||
afterEach(() => {
|
||||
tmpDir?.removeCallback();
|
||||
});
|
||||
|
||||
async function createFloat32Table(): Promise<Table> {
|
||||
tmpDir = tmp.dirSync({ unsafeCleanup: true });
|
||||
const db = await connect(tmpDir.name);
|
||||
const schema = new Schema([
|
||||
new Field("id", new Int64(), true),
|
||||
new Field(
|
||||
"vec",
|
||||
new FixedSizeList(2, new Field("item", new Float32())),
|
||||
true,
|
||||
),
|
||||
]);
|
||||
const data = makeArrowTable(
|
||||
[
|
||||
{ id: 1n, vec: [1.0, 0.0] },
|
||||
{ id: 2n, vec: [0.0, 1.0] },
|
||||
{ id: 3n, vec: [1.0, 1.0] },
|
||||
],
|
||||
{ schema },
|
||||
);
|
||||
return db.createTable("test_f32", data);
|
||||
}
|
||||
|
||||
it("should search with Float32Array (baseline)", async () => {
|
||||
const table = await createFloat32Table();
|
||||
const results = await table
|
||||
.query()
|
||||
.nearestTo(new Float32Array([1.0, 0.0]))
|
||||
.limit(1)
|
||||
.toArray();
|
||||
|
||||
expect(results.length).toBe(1);
|
||||
expect(Number(results[0].id)).toBe(1);
|
||||
});
|
||||
|
||||
it("should search with number[] (backward compat)", async () => {
|
||||
const table = await createFloat32Table();
|
||||
const results = await table
|
||||
.query()
|
||||
.nearestTo([1.0, 0.0])
|
||||
.limit(1)
|
||||
.toArray();
|
||||
|
||||
expect(results.length).toBe(1);
|
||||
expect(Number(results[0].id)).toBe(1);
|
||||
});
|
||||
|
||||
it("should search with Float64Array via raw path", async () => {
|
||||
const table = await createFloat32Table();
|
||||
const results = await table
|
||||
.query()
|
||||
.nearestTo(new Float64Array([1.0, 0.0]))
|
||||
.limit(1)
|
||||
.toArray();
|
||||
|
||||
expect(results.length).toBe(1);
|
||||
expect(Number(results[0].id)).toBe(1);
|
||||
});
|
||||
|
||||
it("should add multiple query vectors with Float64Array", async () => {
|
||||
const table = await createFloat32Table();
|
||||
const results = await table
|
||||
.query()
|
||||
.nearestTo(new Float64Array([1.0, 0.0]))
|
||||
.addQueryVector(new Float64Array([0.0, 1.0]))
|
||||
.limit(2)
|
||||
.toArray();
|
||||
|
||||
expect(results.length).toBeGreaterThanOrEqual(2);
|
||||
});
|
||||
|
||||
// Float16Array is only available in Node 22+; not in TypeScript's standard lib yet
|
||||
const float16ArrayCtor = (globalThis as unknown as Record<string, unknown>)
|
||||
.Float16Array as (new (values: number[]) => unknown) | undefined;
|
||||
const hasFloat16 = float16ArrayCtor !== undefined;
|
||||
const f16it = hasFloat16 ? it : it.skip;
|
||||
|
||||
f16it("should search with Float16Array via raw path", async () => {
|
||||
const table = await createFloat32Table();
|
||||
const results = await table
|
||||
.query()
|
||||
.nearestTo(new float16ArrayCtor!([1.0, 0.0]) as Float32Array)
|
||||
.limit(1)
|
||||
.toArray();
|
||||
|
||||
expect(results.length).toBe(1);
|
||||
expect(Number(results[0].id)).toBe(1);
|
||||
});
|
||||
});
|
||||
@@ -117,9 +117,8 @@ export type TableLike =
|
||||
export type IntoVector =
|
||||
| Float32Array
|
||||
| Float64Array
|
||||
| Uint8Array
|
||||
| number[]
|
||||
| Promise<Float32Array | Float64Array | Uint8Array | number[]>;
|
||||
| Promise<Float32Array | Float64Array | number[]>;
|
||||
|
||||
export type MultiVector = IntoVector[];
|
||||
|
||||
@@ -127,48 +126,14 @@ export function isMultiVector(value: unknown): value is MultiVector {
|
||||
return Array.isArray(value) && isIntoVector(value[0]);
|
||||
}
|
||||
|
||||
// Float16Array is not in TypeScript's standard lib yet; access dynamically
|
||||
type Float16ArrayCtor = new (
|
||||
...args: unknown[]
|
||||
) => { buffer: ArrayBuffer; byteOffset: number; byteLength: number };
|
||||
const float16ArrayCtor = (globalThis as unknown as Record<string, unknown>)
|
||||
.Float16Array as Float16ArrayCtor | undefined;
|
||||
|
||||
export function isIntoVector(value: unknown): value is IntoVector {
|
||||
return (
|
||||
value instanceof Float32Array ||
|
||||
value instanceof Float64Array ||
|
||||
value instanceof Uint8Array ||
|
||||
(float16ArrayCtor !== undefined && value instanceof float16ArrayCtor) ||
|
||||
(Array.isArray(value) && !Array.isArray(value[0]))
|
||||
);
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract the underlying byte buffer and data type from a typed array
|
||||
* for passing to the Rust NAPI layer without precision loss.
|
||||
*/
|
||||
export function extractVectorBuffer(
|
||||
vector: Float32Array | Float64Array | Uint8Array,
|
||||
): { data: Uint8Array; dtype: string } | null {
|
||||
if (float16ArrayCtor !== undefined && vector instanceof float16ArrayCtor) {
|
||||
return {
|
||||
data: new Uint8Array(vector.buffer, vector.byteOffset, vector.byteLength),
|
||||
dtype: "float16",
|
||||
};
|
||||
}
|
||||
if (vector instanceof Float64Array) {
|
||||
return {
|
||||
data: new Uint8Array(vector.buffer, vector.byteOffset, vector.byteLength),
|
||||
dtype: "float64",
|
||||
};
|
||||
}
|
||||
if (vector instanceof Uint8Array && !(vector instanceof Float32Array)) {
|
||||
return { data: vector, dtype: "uint8" };
|
||||
}
|
||||
return null;
|
||||
}
|
||||
|
||||
export function isArrowTable(value: object): value is TableLike {
|
||||
if (value instanceof ArrowTable) return true;
|
||||
return "schema" in value && "batches" in value;
|
||||
|
||||
@@ -5,7 +5,6 @@ import {
|
||||
Table as ArrowTable,
|
||||
type IntoVector,
|
||||
RecordBatch,
|
||||
extractVectorBuffer,
|
||||
fromBufferToRecordBatch,
|
||||
fromRecordBatchToBuffer,
|
||||
tableFromIPC,
|
||||
@@ -662,8 +661,10 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
|
||||
const res = (async () => {
|
||||
try {
|
||||
const v = await vector;
|
||||
const arr = Float32Array.from(v);
|
||||
//
|
||||
// biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
|
||||
const value: any = this.addQueryVector(v);
|
||||
const value: any = this.addQueryVector(arr);
|
||||
const inner = value.inner as
|
||||
| NativeVectorQuery
|
||||
| Promise<NativeVectorQuery>;
|
||||
@@ -675,12 +676,7 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
|
||||
return new VectorQuery(res);
|
||||
} else {
|
||||
super.doCall((inner) => {
|
||||
const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector);
|
||||
if (raw) {
|
||||
inner.addQueryVectorRaw(raw.data, raw.dtype);
|
||||
} else {
|
||||
inner.addQueryVector(Float32Array.from(vector as number[]));
|
||||
}
|
||||
inner.addQueryVector(Float32Array.from(vector));
|
||||
});
|
||||
return this;
|
||||
}
|
||||
@@ -769,23 +765,14 @@ export class Query extends StandardQueryBase<NativeQuery> {
|
||||
* a default `limit` of 10 will be used. @see {@link Query#limit}
|
||||
*/
|
||||
nearestTo(vector: IntoVector): VectorQuery {
|
||||
const callNearestTo = (
|
||||
inner: NativeQuery,
|
||||
resolved: Float32Array | Float64Array | Uint8Array | number[],
|
||||
): NativeVectorQuery => {
|
||||
const raw = Array.isArray(resolved)
|
||||
? null
|
||||
: extractVectorBuffer(resolved);
|
||||
if (raw) {
|
||||
return inner.nearestToRaw(raw.data, raw.dtype);
|
||||
}
|
||||
return inner.nearestTo(Float32Array.from(resolved as number[]));
|
||||
};
|
||||
|
||||
if (this.inner instanceof Promise) {
|
||||
const nativeQuery = this.inner.then(async (inner) => {
|
||||
const resolved = vector instanceof Promise ? await vector : vector;
|
||||
return callNearestTo(inner, resolved);
|
||||
if (vector instanceof Promise) {
|
||||
const arr = await vector.then((v) => Float32Array.from(v));
|
||||
return inner.nearestTo(arr);
|
||||
} else {
|
||||
return inner.nearestTo(Float32Array.from(vector));
|
||||
}
|
||||
});
|
||||
return new VectorQuery(nativeQuery);
|
||||
}
|
||||
@@ -793,8 +780,10 @@ export class Query extends StandardQueryBase<NativeQuery> {
|
||||
const res = (async () => {
|
||||
try {
|
||||
const v = await vector;
|
||||
const arr = Float32Array.from(v);
|
||||
//
|
||||
// biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
|
||||
const value: any = this.nearestTo(v);
|
||||
const value: any = this.nearestTo(arr);
|
||||
const inner = value.inner as
|
||||
| NativeVectorQuery
|
||||
| Promise<NativeVectorQuery>;
|
||||
@@ -805,7 +794,7 @@ export class Query extends StandardQueryBase<NativeQuery> {
|
||||
})();
|
||||
return new VectorQuery(res);
|
||||
} else {
|
||||
const vectorQuery = callNearestTo(this.inner, vector);
|
||||
const vectorQuery = this.inner.nearestTo(Float32Array.from(vector));
|
||||
return new VectorQuery(vectorQuery);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-darwin-arm64",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": ["darwin"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.darwin-arm64.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-gnu",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-arm64-musl",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": ["linux"],
|
||||
"cpu": ["arm64"],
|
||||
"main": "lancedb.linux-arm64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-gnu",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-gnu.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-linux-x64-musl",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": ["linux"],
|
||||
"cpu": ["x64"],
|
||||
"main": "lancedb.linux-x64-musl.node",
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-arm64-msvc",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"os": [
|
||||
"win32"
|
||||
],
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "@lancedb/lancedb-win32-x64-msvc",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"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": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"lockfileVersion": 3,
|
||||
"requires": true,
|
||||
"packages": {
|
||||
"": {
|
||||
"name": "@lancedb/lancedb",
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"cpu": [
|
||||
"x64",
|
||||
"arm64"
|
||||
|
||||
@@ -11,7 +11,7 @@
|
||||
"ann"
|
||||
],
|
||||
"private": false,
|
||||
"version": "0.27.2-beta.1",
|
||||
"version": "0.27.0-beta.5",
|
||||
"main": "dist/index.js",
|
||||
"exports": {
|
||||
".": "./dist/index.js",
|
||||
|
||||
@@ -3,12 +3,6 @@
|
||||
|
||||
use std::sync::Arc;
|
||||
|
||||
use arrow_array::{
|
||||
Array, Float16Array as ArrowFloat16Array, Float32Array as ArrowFloat32Array,
|
||||
Float64Array as ArrowFloat64Array, UInt8Array as ArrowUInt8Array,
|
||||
};
|
||||
use arrow_buffer::ScalarBuffer;
|
||||
use half::f16;
|
||||
use lancedb::index::scalar::{
|
||||
BooleanQuery, BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, Occur,
|
||||
Operator, PhraseQuery,
|
||||
@@ -30,33 +24,6 @@ use crate::rerankers::RerankHybridCallbackArgs;
|
||||
use crate::rerankers::Reranker;
|
||||
use crate::util::{parse_distance_type, schema_to_buffer};
|
||||
|
||||
fn bytes_to_arrow_array(data: Uint8Array, dtype: String) -> napi::Result<Arc<dyn Array>> {
|
||||
let buf = arrow_buffer::Buffer::from(data.to_vec());
|
||||
let num_bytes = buf.len();
|
||||
match dtype.as_str() {
|
||||
"float16" => {
|
||||
let scalar_buf = ScalarBuffer::<f16>::new(buf, 0, num_bytes / 2);
|
||||
Ok(Arc::new(ArrowFloat16Array::new(scalar_buf, None)))
|
||||
}
|
||||
"float32" => {
|
||||
let scalar_buf = ScalarBuffer::<f32>::new(buf, 0, num_bytes / 4);
|
||||
Ok(Arc::new(ArrowFloat32Array::new(scalar_buf, None)))
|
||||
}
|
||||
"float64" => {
|
||||
let scalar_buf = ScalarBuffer::<f64>::new(buf, 0, num_bytes / 8);
|
||||
Ok(Arc::new(ArrowFloat64Array::new(scalar_buf, None)))
|
||||
}
|
||||
"uint8" => {
|
||||
let scalar_buf = ScalarBuffer::<u8>::new(buf, 0, num_bytes);
|
||||
Ok(Arc::new(ArrowUInt8Array::new(scalar_buf, None)))
|
||||
}
|
||||
_ => Err(napi::Error::from_reason(format!(
|
||||
"Unsupported vector dtype: {}. Expected one of: float16, float32, float64, uint8",
|
||||
dtype
|
||||
))),
|
||||
}
|
||||
}
|
||||
|
||||
#[napi]
|
||||
pub struct Query {
|
||||
inner: LanceDbQuery,
|
||||
@@ -111,13 +78,6 @@ impl Query {
|
||||
Ok(VectorQuery { inner })
|
||||
}
|
||||
|
||||
#[napi]
|
||||
pub fn nearest_to_raw(&mut self, data: Uint8Array, dtype: String) -> Result<VectorQuery> {
|
||||
let array = bytes_to_arrow_array(data, dtype)?;
|
||||
let inner = self.inner.clone().nearest_to(array).default_error()?;
|
||||
Ok(VectorQuery { inner })
|
||||
}
|
||||
|
||||
#[napi]
|
||||
pub fn fast_search(&mut self) {
|
||||
self.inner = self.inner.clone().fast_search();
|
||||
@@ -203,13 +163,6 @@ impl VectorQuery {
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[napi]
|
||||
pub fn add_query_vector_raw(&mut self, data: Uint8Array, dtype: String) -> Result<()> {
|
||||
let array = bytes_to_arrow_array(data, dtype)?;
|
||||
self.inner = self.inner.clone().add_query_vector(array).default_error()?;
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[napi]
|
||||
pub fn distance_type(&mut self, distance_type: String) -> napi::Result<()> {
|
||||
let distance_type = parse_distance_type(distance_type)?;
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
[tool.bumpversion]
|
||||
current_version = "0.30.2-beta.1"
|
||||
current_version = "0.30.0-beta.5"
|
||||
parse = """(?x)
|
||||
(?P<major>0|[1-9]\\d*)\\.
|
||||
(?P<minor>0|[1-9]\\d*)\\.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb-python"
|
||||
version = "0.30.2-beta.1"
|
||||
version = "0.30.0-beta.5"
|
||||
edition.workspace = true
|
||||
description = "Python bindings for LanceDB"
|
||||
license.workspace = true
|
||||
@@ -23,7 +23,6 @@ lance-namespace.workspace = true
|
||||
lance-namespace-impls.workspace = true
|
||||
lance-io.workspace = true
|
||||
env_logger.workspace = true
|
||||
log.workspace = true
|
||||
pyo3 = { version = "0.26", features = ["extension-module", "abi3-py39"] }
|
||||
pyo3-async-runtimes = { version = "0.26", features = [
|
||||
"attributes",
|
||||
|
||||
@@ -135,10 +135,7 @@ class Table:
|
||||
def close(self) -> None: ...
|
||||
async def schema(self) -> pa.Schema: ...
|
||||
async def add(
|
||||
self,
|
||||
data: pa.RecordBatchReader,
|
||||
mode: Literal["append", "overwrite"],
|
||||
progress: Optional[Any] = None,
|
||||
self, data: pa.RecordBatchReader, mode: Literal["append", "overwrite"]
|
||||
) -> AddResult: ...
|
||||
async def update(
|
||||
self, updates: Dict[str, str], where: Optional[str]
|
||||
|
||||
@@ -10,7 +10,6 @@ import sys
|
||||
import threading
|
||||
import time
|
||||
import urllib.error
|
||||
import urllib.request
|
||||
import weakref
|
||||
import logging
|
||||
from functools import wraps
|
||||
|
||||
@@ -70,7 +70,7 @@ def ensure_vector_query(
|
||||
) -> Union[List[float], List[List[float]], pa.Array, List[pa.Array]]:
|
||||
if isinstance(val, list):
|
||||
if len(val) == 0:
|
||||
raise ValueError("Vector query must be a non-empty list")
|
||||
return ValueError("Vector query must be a non-empty list")
|
||||
sample = val[0]
|
||||
else:
|
||||
if isinstance(val, float):
|
||||
@@ -83,7 +83,7 @@ def ensure_vector_query(
|
||||
return val
|
||||
if isinstance(sample, list):
|
||||
if len(sample) == 0:
|
||||
raise ValueError("Vector query must be a non-empty list")
|
||||
return ValueError("Vector query must be a non-empty list")
|
||||
if isinstance(sample[0], float):
|
||||
# val is list of list of floats
|
||||
return val
|
||||
@@ -2205,8 +2205,8 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
|
||||
self._vector_query.select(self._columns)
|
||||
self._fts_query.select(self._columns)
|
||||
if self._where:
|
||||
self._vector_query.where(self._where, not self._postfilter)
|
||||
self._fts_query.where(self._where, not self._postfilter)
|
||||
self._vector_query.where(self._where, self._postfilter)
|
||||
self._fts_query.where(self._where, self._postfilter)
|
||||
if self._with_row_id:
|
||||
self._vector_query.with_row_id(True)
|
||||
self._fts_query.with_row_id(True)
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
from datetime import timedelta
|
||||
import logging
|
||||
from functools import cached_property
|
||||
from typing import Any, Callable, Dict, Iterable, List, Optional, Union, Literal
|
||||
from typing import Dict, Iterable, List, Optional, Union, Literal
|
||||
import warnings
|
||||
|
||||
from lancedb._lancedb import (
|
||||
@@ -35,7 +35,6 @@ import pyarrow as pa
|
||||
from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
|
||||
from lancedb.merge import LanceMergeInsertBuilder
|
||||
from lancedb.embeddings import EmbeddingFunctionRegistry
|
||||
from lancedb.table import _normalize_progress
|
||||
|
||||
from ..query import LanceVectorQueryBuilder, LanceQueryBuilder, LanceTakeQueryBuilder
|
||||
from ..table import AsyncTable, IndexStatistics, Query, Table, Tags
|
||||
@@ -309,7 +308,6 @@ class RemoteTable(Table):
|
||||
mode: str = "append",
|
||||
on_bad_vectors: str = "error",
|
||||
fill_value: float = 0.0,
|
||||
progress: Optional[Union[bool, Callable, Any]] = None,
|
||||
) -> AddResult:
|
||||
"""Add more data to the [Table](Table). It has the same API signature as
|
||||
the OSS version.
|
||||
@@ -332,29 +330,17 @@ class RemoteTable(Table):
|
||||
One of "error", "drop", "fill".
|
||||
fill_value: float, default 0.
|
||||
The value to use when filling vectors. Only used if on_bad_vectors="fill".
|
||||
progress: bool, callable, or tqdm-like, optional
|
||||
A callback or tqdm-compatible progress bar. See
|
||||
:meth:`Table.add` for details.
|
||||
|
||||
Returns
|
||||
-------
|
||||
AddResult
|
||||
An object containing the new version number of the table after adding data.
|
||||
"""
|
||||
progress, owns = _normalize_progress(progress)
|
||||
try:
|
||||
return LOOP.run(
|
||||
self._table.add(
|
||||
data,
|
||||
mode=mode,
|
||||
on_bad_vectors=on_bad_vectors,
|
||||
fill_value=fill_value,
|
||||
progress=progress,
|
||||
)
|
||||
return LOOP.run(
|
||||
self._table.add(
|
||||
data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
|
||||
)
|
||||
finally:
|
||||
if owns:
|
||||
progress.close()
|
||||
)
|
||||
|
||||
def search(
|
||||
self,
|
||||
|
||||
@@ -14,7 +14,6 @@ from functools import cached_property
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Callable,
|
||||
Dict,
|
||||
Iterable,
|
||||
List,
|
||||
@@ -278,7 +277,7 @@ def _sanitize_data(
|
||||
|
||||
if metadata:
|
||||
new_metadata = target_schema.metadata or {}
|
||||
new_metadata.update(metadata)
|
||||
new_metadata = new_metadata.update(metadata)
|
||||
target_schema = target_schema.with_metadata(new_metadata)
|
||||
|
||||
_validate_schema(target_schema)
|
||||
@@ -557,21 +556,6 @@ def _table_uri(base: str, table_name: str) -> str:
|
||||
return join_uri(base, f"{table_name}.lance")
|
||||
|
||||
|
||||
def _normalize_progress(progress):
|
||||
"""Normalize a ``progress`` parameter for :meth:`Table.add`.
|
||||
|
||||
Returns ``(progress_obj, owns)`` where *owns* is True when we created a
|
||||
tqdm bar that the caller must close.
|
||||
"""
|
||||
if progress is True:
|
||||
from tqdm.auto import tqdm
|
||||
|
||||
return tqdm(unit=" rows"), True
|
||||
if progress is False or progress is None:
|
||||
return None, False
|
||||
return progress, False
|
||||
|
||||
|
||||
class Table(ABC):
|
||||
"""
|
||||
A Table is a collection of Records in a LanceDB Database.
|
||||
@@ -990,7 +974,6 @@ class Table(ABC):
|
||||
mode: AddMode = "append",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
progress: Optional[Union[bool, Callable, Any]] = None,
|
||||
) -> AddResult:
|
||||
"""Add more data to the [Table](Table).
|
||||
|
||||
@@ -1012,29 +995,6 @@ class Table(ABC):
|
||||
One of "error", "drop", "fill".
|
||||
fill_value: float, default 0.
|
||||
The value to use when filling vectors. Only used if on_bad_vectors="fill".
|
||||
progress: bool, callable, or tqdm-like, optional
|
||||
Progress reporting during the add operation. Can be:
|
||||
|
||||
- ``True`` to automatically create and display a tqdm progress
|
||||
bar (requires ``tqdm`` to be installed)::
|
||||
|
||||
table.add(data, progress=True)
|
||||
|
||||
- A **callable** that receives a dict with keys ``output_rows``,
|
||||
``output_bytes``, ``total_rows``, ``elapsed_seconds``,
|
||||
``active_tasks``, ``total_tasks``, and ``done``::
|
||||
|
||||
def on_progress(p):
|
||||
print(f"{p['output_rows']}/{p['total_rows']} rows, "
|
||||
f"{p['active_tasks']}/{p['total_tasks']} workers")
|
||||
table.add(data, progress=on_progress)
|
||||
|
||||
- A **tqdm-compatible** progress bar whose ``total`` and
|
||||
``update()`` will be called automatically. The postfix shows
|
||||
write throughput (MB/s) and active worker count::
|
||||
|
||||
with tqdm() as pbar:
|
||||
table.add(data, progress=pbar)
|
||||
|
||||
Returns
|
||||
-------
|
||||
@@ -2532,7 +2492,6 @@ class LanceTable(Table):
|
||||
mode: AddMode = "append",
|
||||
on_bad_vectors: OnBadVectorsType = "error",
|
||||
fill_value: float = 0.0,
|
||||
progress: Optional[Union[bool, Callable, Any]] = None,
|
||||
) -> AddResult:
|
||||
"""Add data to the table.
|
||||
If vector columns are missing and the table
|
||||
@@ -2551,29 +2510,17 @@ class LanceTable(Table):
|
||||
One of "error", "drop", "fill", "null".
|
||||
fill_value: float, default 0.
|
||||
The value to use when filling vectors. Only used if on_bad_vectors="fill".
|
||||
progress: bool, callable, or tqdm-like, optional
|
||||
A callback or tqdm-compatible progress bar. See
|
||||
:meth:`Table.add` for details.
|
||||
|
||||
Returns
|
||||
-------
|
||||
int
|
||||
The number of vectors in the table.
|
||||
"""
|
||||
progress, owns = _normalize_progress(progress)
|
||||
try:
|
||||
return LOOP.run(
|
||||
self._table.add(
|
||||
data,
|
||||
mode=mode,
|
||||
on_bad_vectors=on_bad_vectors,
|
||||
fill_value=fill_value,
|
||||
progress=progress,
|
||||
)
|
||||
return LOOP.run(
|
||||
self._table.add(
|
||||
data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
|
||||
)
|
||||
finally:
|
||||
if owns:
|
||||
progress.close()
|
||||
)
|
||||
|
||||
def merge(
|
||||
self,
|
||||
@@ -3822,7 +3769,6 @@ class AsyncTable:
|
||||
mode: Optional[Literal["append", "overwrite"]] = "append",
|
||||
on_bad_vectors: Optional[OnBadVectorsType] = None,
|
||||
fill_value: Optional[float] = None,
|
||||
progress: Optional[Union[bool, Callable, Any]] = None,
|
||||
) -> AddResult:
|
||||
"""Add more data to the [Table](Table).
|
||||
|
||||
@@ -3844,9 +3790,6 @@ class AsyncTable:
|
||||
One of "error", "drop", "fill", "null".
|
||||
fill_value: float, default 0.
|
||||
The value to use when filling vectors. Only used if on_bad_vectors="fill".
|
||||
progress: callable or tqdm-like, optional
|
||||
A callback or tqdm-compatible progress bar. See
|
||||
:meth:`Table.add` for details.
|
||||
|
||||
"""
|
||||
schema = await self.schema()
|
||||
@@ -3857,13 +3800,7 @@ class AsyncTable:
|
||||
|
||||
# _santitize_data is an old code path, but we will use it until the
|
||||
# new code path is ready.
|
||||
if mode == "overwrite":
|
||||
# For overwrite, apply the same preprocessing as create_table
|
||||
# so vector columns are inferred as FixedSizeList.
|
||||
data, _ = sanitize_create_table(
|
||||
data, None, on_bad_vectors=on_bad_vectors, fill_value=fill_value
|
||||
)
|
||||
elif on_bad_vectors != "error" or (
|
||||
if on_bad_vectors != "error" or (
|
||||
schema.metadata is not None and b"embedding_functions" in schema.metadata
|
||||
):
|
||||
data = _sanitize_data(
|
||||
@@ -3876,9 +3813,8 @@ class AsyncTable:
|
||||
)
|
||||
_register_optional_converters()
|
||||
data = to_scannable(data)
|
||||
progress, owns = _normalize_progress(progress)
|
||||
try:
|
||||
return await self._inner.add(data, mode or "append", progress=progress)
|
||||
return await self._inner.add(data, mode or "append")
|
||||
except RuntimeError as e:
|
||||
if "Cast error" in str(e):
|
||||
raise ValueError(e)
|
||||
@@ -3886,9 +3822,6 @@ class AsyncTable:
|
||||
raise ValueError(e)
|
||||
else:
|
||||
raise
|
||||
finally:
|
||||
if owns:
|
||||
progress.close()
|
||||
|
||||
def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
|
||||
"""
|
||||
@@ -4818,16 +4751,7 @@ class IndexStatistics:
|
||||
num_indexed_rows: int
|
||||
num_unindexed_rows: int
|
||||
index_type: Literal[
|
||||
"IVF_FLAT",
|
||||
"IVF_SQ",
|
||||
"IVF_PQ",
|
||||
"IVF_RQ",
|
||||
"IVF_HNSW_SQ",
|
||||
"IVF_HNSW_PQ",
|
||||
"FTS",
|
||||
"BTREE",
|
||||
"BITMAP",
|
||||
"LABEL_LIST",
|
||||
"IVF_PQ", "IVF_HNSW_PQ", "IVF_HNSW_SQ", "FTS", "BTREE", "BITMAP", "LABEL_LIST"
|
||||
]
|
||||
distance_type: Optional[Literal["l2", "cosine", "dot"]] = None
|
||||
num_indices: Optional[int] = None
|
||||
|
||||
@@ -546,24 +546,3 @@ def test_openai_no_retry_on_401(mock_sleep):
|
||||
assert mock_func.call_count == 1
|
||||
# Verify that sleep was never called (no retries)
|
||||
assert mock_sleep.call_count == 0
|
||||
|
||||
|
||||
def test_url_retrieve_downloads_image():
|
||||
"""
|
||||
Embedding functions like open-clip, siglip, and jinaai use url_retrieve()
|
||||
to download images from HTTP URLs. For example, open_clip._to_pil() calls:
|
||||
|
||||
PIL_Image.open(io.BytesIO(url_retrieve(image)))
|
||||
|
||||
Verify that url_retrieve() can download an image and open it as PIL Image,
|
||||
matching the real usage pattern in embedding functions.
|
||||
"""
|
||||
import io
|
||||
|
||||
Image = pytest.importorskip("PIL.Image")
|
||||
from lancedb.embeddings.utils import url_retrieve
|
||||
|
||||
image_url = "http://farm1.staticflickr.com/53/167798175_7c7845bbbd_z.jpg"
|
||||
image_bytes = url_retrieve(image_url)
|
||||
img = Image.open(io.BytesIO(image_bytes))
|
||||
assert img.size[0] > 0 and img.size[1] > 0
|
||||
|
||||
@@ -177,60 +177,6 @@ async def test_analyze_plan(table: AsyncTable):
|
||||
assert "metrics=" in res
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def table_with_id(tmpdir_factory) -> Table:
|
||||
tmp_path = str(tmpdir_factory.mktemp("data"))
|
||||
db = lancedb.connect(tmp_path)
|
||||
data = pa.table(
|
||||
{
|
||||
"id": pa.array([1, 2, 3, 4], type=pa.int64()),
|
||||
"text": pa.array(["a", "b", "cat", "dog"]),
|
||||
"vector": pa.array(
|
||||
[[0.1, 0.1], [2, 2], [-0.1, -0.1], [0.5, -0.5]],
|
||||
type=pa.list_(pa.float32(), list_size=2),
|
||||
),
|
||||
}
|
||||
)
|
||||
table = db.create_table("test_with_id", data)
|
||||
table.create_fts_index("text", with_position=False, use_tantivy=False)
|
||||
return table
|
||||
|
||||
|
||||
def test_hybrid_prefilter_explain_plan(table_with_id: Table):
|
||||
"""
|
||||
Verify that the prefilter logic is not inverted in LanceHybridQueryBuilder.
|
||||
"""
|
||||
plan_prefilter = (
|
||||
table_with_id.search(query_type="hybrid")
|
||||
.vector([0.0, 0.0])
|
||||
.text("dog")
|
||||
.where("id = 1", prefilter=True)
|
||||
.limit(2)
|
||||
.explain_plan(verbose=True)
|
||||
)
|
||||
|
||||
plan_postfilter = (
|
||||
table_with_id.search(query_type="hybrid")
|
||||
.vector([0.0, 0.0])
|
||||
.text("dog")
|
||||
.where("id = 1", prefilter=False)
|
||||
.limit(2)
|
||||
.explain_plan(verbose=True)
|
||||
)
|
||||
|
||||
# prefilter=True: filter is pushed into the LanceRead scan.
|
||||
# The FTS sub-plan exposes this as "full_filter=id = Int64(1)" inside LanceRead.
|
||||
assert "full_filter=id = Int64(1)" in plan_prefilter, (
|
||||
f"Should push the filter into the scan.\nPlan:\n{plan_prefilter}"
|
||||
)
|
||||
|
||||
# prefilter=False: filter is applied as a separate FilterExec after the search.
|
||||
# The filter must NOT be embedded in the scan.
|
||||
assert "full_filter=id = Int64(1)" not in plan_postfilter, (
|
||||
f"Should NOT push the filter into the scan.\nPlan:\n{plan_postfilter}"
|
||||
)
|
||||
|
||||
|
||||
def test_normalize_scores():
|
||||
cases = [
|
||||
(pa.array([0.1, 0.4]), pa.array([0.0, 1.0])),
|
||||
|
||||
@@ -3,7 +3,6 @@
|
||||
|
||||
from datetime import timedelta
|
||||
import random
|
||||
from typing import get_args, get_type_hints
|
||||
|
||||
import pyarrow as pa
|
||||
import pytest
|
||||
@@ -23,7 +22,6 @@ from lancedb.index import (
|
||||
HnswSq,
|
||||
FTS,
|
||||
)
|
||||
from lancedb.table import IndexStatistics
|
||||
|
||||
|
||||
@pytest_asyncio.fixture
|
||||
@@ -285,23 +283,3 @@ async def test_create_index_with_binary_vectors(binary_table: AsyncTable):
|
||||
for v in range(256):
|
||||
res = await binary_table.query().nearest_to([v] * 128).to_arrow()
|
||||
assert res["id"][0].as_py() == v
|
||||
|
||||
|
||||
def test_index_statistics_index_type_lists_all_supported_values():
|
||||
expected_index_types = {
|
||||
"IVF_FLAT",
|
||||
"IVF_SQ",
|
||||
"IVF_PQ",
|
||||
"IVF_RQ",
|
||||
"IVF_HNSW_SQ",
|
||||
"IVF_HNSW_PQ",
|
||||
"FTS",
|
||||
"BTREE",
|
||||
"BITMAP",
|
||||
"LABEL_LIST",
|
||||
}
|
||||
|
||||
assert (
|
||||
set(get_args(get_type_hints(IndexStatistics)["index_type"]))
|
||||
== expected_index_types
|
||||
)
|
||||
|
||||
@@ -8,7 +8,6 @@ import shutil
|
||||
import pytest
|
||||
import pyarrow as pa
|
||||
import lancedb
|
||||
from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
|
||||
|
||||
|
||||
class TestNamespaceConnection:
|
||||
@@ -131,7 +130,7 @@ class TestNamespaceConnection:
|
||||
assert len(list(db.table_names(namespace=["test_ns"]))) == 0
|
||||
|
||||
# Should not be able to open dropped table
|
||||
with pytest.raises(TableNotFoundError):
|
||||
with pytest.raises(RuntimeError):
|
||||
db.open_table("table1", namespace=["test_ns"])
|
||||
|
||||
def test_create_table_with_schema(self):
|
||||
@@ -341,7 +340,7 @@ class TestNamespaceConnection:
|
||||
db.create_table("test_table", schema=schema, namespace=["test_namespace"])
|
||||
|
||||
# Try to drop namespace with tables - should fail
|
||||
with pytest.raises(NamespaceNotEmptyError):
|
||||
with pytest.raises(RuntimeError, match="is not empty"):
|
||||
db.drop_namespace(["test_namespace"])
|
||||
|
||||
# Drop table first
|
||||
|
||||
@@ -147,12 +147,7 @@ class TrackingNamespace(LanceNamespace):
|
||||
This simulates a credential rotation system where each call returns
|
||||
new credentials that expire after credential_expires_in_seconds.
|
||||
"""
|
||||
# Start from base storage options (endpoint, region, allow_http, etc.)
|
||||
# because DirectoryNamespace returns None for storage_options from
|
||||
# describe_table/declare_table when no credential vendor is configured.
|
||||
modified = copy.deepcopy(self.base_storage_options)
|
||||
if storage_options:
|
||||
modified.update(storage_options)
|
||||
modified = copy.deepcopy(storage_options) if storage_options else {}
|
||||
|
||||
# Increment credentials to simulate rotation
|
||||
modified["aws_access_key_id"] = f"AKID_{count}"
|
||||
|
||||
@@ -30,7 +30,6 @@ from lancedb.query import (
|
||||
PhraseQuery,
|
||||
Query,
|
||||
FullTextSearchQuery,
|
||||
ensure_vector_query,
|
||||
)
|
||||
from lancedb.rerankers.cross_encoder import CrossEncoderReranker
|
||||
from lancedb.table import AsyncTable, LanceTable
|
||||
@@ -1502,18 +1501,6 @@ def test_search_empty_table(mem_db):
|
||||
assert results == []
|
||||
|
||||
|
||||
def test_ensure_vector_query_empty_list():
|
||||
"""Regression: ensure_vector_query used to return instead of raise ValueError."""
|
||||
with pytest.raises(ValueError, match="non-empty"):
|
||||
ensure_vector_query([])
|
||||
|
||||
|
||||
def test_ensure_vector_query_nested_empty_list():
|
||||
"""Regression: ensure_vector_query used to return instead of raise ValueError."""
|
||||
with pytest.raises(ValueError, match="non-empty"):
|
||||
ensure_vector_query([[]])
|
||||
|
||||
|
||||
def test_fast_search(tmp_path):
|
||||
db = lancedb.connect(tmp_path)
|
||||
|
||||
|
||||
@@ -527,132 +527,6 @@ async def test_add_async(mem_db_async: AsyncConnection):
|
||||
assert await table.count_rows() == 3
|
||||
|
||||
|
||||
def test_add_overwrite_infers_vector_schema(mem_db: DBConnection):
|
||||
"""Overwrite should infer vector columns the same way create_table does.
|
||||
|
||||
Regression test for https://github.com/lancedb/lancedb/issues/3183
|
||||
"""
|
||||
table = mem_db.create_table(
|
||||
"test_overwrite_vec",
|
||||
data=[
|
||||
{"vector": [1.0, 2.0, 3.0, 4.0], "item": "foo"},
|
||||
{"vector": [5.0, 6.0, 7.0, 8.0], "item": "bar"},
|
||||
],
|
||||
)
|
||||
# create_table infers vector as fixed_size_list<float32, 4>
|
||||
original_type = table.schema.field("vector").type
|
||||
assert pa.types.is_fixed_size_list(original_type)
|
||||
|
||||
# overwrite with plain Python lists (PyArrow infers list<double>)
|
||||
table.add(
|
||||
[
|
||||
{"vector": [10.0, 20.0, 30.0, 40.0], "item": "baz"},
|
||||
],
|
||||
mode="overwrite",
|
||||
)
|
||||
# overwrite should infer vector column the same way as create_table
|
||||
new_type = table.schema.field("vector").type
|
||||
assert pa.types.is_fixed_size_list(new_type), (
|
||||
f"Expected fixed_size_list after overwrite, got {new_type}"
|
||||
)
|
||||
|
||||
|
||||
def test_add_progress_callback(mem_db: DBConnection):
|
||||
table = mem_db.create_table(
|
||||
"test",
|
||||
data=[{"id": 1}, {"id": 2}],
|
||||
)
|
||||
|
||||
updates = []
|
||||
table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
|
||||
|
||||
assert len(table) == 4
|
||||
# The done callback always fires, so we should always get at least one.
|
||||
assert len(updates) >= 1, "expected at least one progress callback"
|
||||
for p in updates:
|
||||
assert "output_rows" in p
|
||||
assert "output_bytes" in p
|
||||
assert "total_rows" in p
|
||||
assert "elapsed_seconds" in p
|
||||
assert "active_tasks" in p
|
||||
assert "total_tasks" in p
|
||||
assert "done" in p
|
||||
# The last callback should have done=True.
|
||||
assert updates[-1]["done"] is True
|
||||
|
||||
|
||||
def test_add_progress_tqdm_like(mem_db: DBConnection):
|
||||
"""Test that a tqdm-like object gets total set and update() called."""
|
||||
|
||||
class FakeBar:
|
||||
def __init__(self):
|
||||
self.total = None
|
||||
self.n = 0
|
||||
self.postfix = None
|
||||
|
||||
def update(self, n):
|
||||
self.n += n
|
||||
|
||||
def set_postfix_str(self, s):
|
||||
self.postfix = s
|
||||
|
||||
def refresh(self):
|
||||
pass
|
||||
|
||||
table = mem_db.create_table(
|
||||
"test",
|
||||
data=[{"id": 1}, {"id": 2}],
|
||||
)
|
||||
|
||||
bar = FakeBar()
|
||||
table.add([{"id": 3}, {"id": 4}], progress=bar)
|
||||
|
||||
assert len(table) == 4
|
||||
# Postfix should contain throughput and worker count
|
||||
if bar.postfix is not None:
|
||||
assert "MB/s" in bar.postfix
|
||||
assert "workers" in bar.postfix
|
||||
|
||||
|
||||
def test_add_progress_bool(mem_db: DBConnection):
|
||||
"""Test that progress=True creates and closes a tqdm bar automatically."""
|
||||
table = mem_db.create_table(
|
||||
"test",
|
||||
data=[{"id": 1}, {"id": 2}],
|
||||
)
|
||||
|
||||
table.add([{"id": 3}, {"id": 4}], progress=True)
|
||||
assert len(table) == 4
|
||||
|
||||
# progress=False should be the same as None
|
||||
table.add([{"id": 5}], progress=False)
|
||||
assert len(table) == 5
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_add_progress_callback_async(mem_db_async: AsyncConnection):
|
||||
"""Progress callbacks work through the async path too."""
|
||||
table = await mem_db_async.create_table("test", data=[{"id": 1}, {"id": 2}])
|
||||
|
||||
updates = []
|
||||
await table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
|
||||
|
||||
assert await table.count_rows() == 4
|
||||
assert len(updates) >= 1
|
||||
assert updates[-1]["done"] is True
|
||||
|
||||
|
||||
def test_add_progress_callback_error(mem_db: DBConnection):
|
||||
"""A failing callback must not prevent the write from succeeding."""
|
||||
table = mem_db.create_table("test", data=[{"id": 1}, {"id": 2}])
|
||||
|
||||
def bad_callback(p):
|
||||
raise RuntimeError("boom")
|
||||
|
||||
table.add([{"id": 3}, {"id": 4}], progress=bad_callback)
|
||||
assert len(table) == 4
|
||||
|
||||
|
||||
def test_polars(mem_db: DBConnection):
|
||||
data = {
|
||||
"vector": [[3.1, 4.1], [5.9, 26.5]],
|
||||
@@ -2173,33 +2047,3 @@ def test_table_uri(tmp_path):
|
||||
db = lancedb.connect(tmp_path)
|
||||
table = db.create_table("my_table", data=[{"x": 0}])
|
||||
assert table.uri == str(tmp_path / "my_table.lance")
|
||||
|
||||
|
||||
def test_sanitize_data_metadata_not_stripped():
|
||||
"""Regression test: dict.update() returns None, so assigning its result
|
||||
would silently replace metadata with None, causing with_metadata(None)
|
||||
to strip all schema metadata from the target schema."""
|
||||
from lancedb.table import _sanitize_data
|
||||
|
||||
schema = pa.schema(
|
||||
[pa.field("x", pa.int64())],
|
||||
metadata={b"existing_key": b"existing_value"},
|
||||
)
|
||||
batch = pa.record_batch([pa.array([1, 2, 3])], schema=schema)
|
||||
|
||||
# Use a different field type so the reader and target schemas differ,
|
||||
# forcing _cast_to_target_schema to rebuild the schema with the
|
||||
# target's metadata (instead of taking the fast-path).
|
||||
target_schema = pa.schema(
|
||||
[pa.field("x", pa.int32())],
|
||||
metadata={b"existing_key": b"existing_value"},
|
||||
)
|
||||
|
||||
reader = pa.RecordBatchReader.from_batches(schema, [batch])
|
||||
metadata = {b"new_key": b"new_value"}
|
||||
result = _sanitize_data(reader, target_schema=target_schema, metadata=metadata)
|
||||
|
||||
result_schema = result.schema
|
||||
assert result_schema.metadata is not None
|
||||
assert result_schema.metadata[b"existing_key"] == b"existing_value"
|
||||
assert result_schema.metadata[b"new_key"] == b"new_value"
|
||||
|
||||
@@ -19,7 +19,7 @@ use lancedb::table::{
|
||||
Table as LanceDbTable,
|
||||
};
|
||||
use pyo3::{
|
||||
Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
|
||||
Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
|
||||
exceptions::{PyKeyError, PyRuntimeError, PyValueError},
|
||||
pyclass, pymethods,
|
||||
types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
|
||||
@@ -299,12 +299,10 @@ impl Table {
|
||||
})
|
||||
}
|
||||
|
||||
#[pyo3(signature = (data, mode, progress=None))]
|
||||
pub fn add<'a>(
|
||||
self_: PyRef<'a, Self>,
|
||||
data: PyScannable,
|
||||
mode: String,
|
||||
progress: Option<Py<PyAny>>,
|
||||
) -> PyResult<Bound<'a, PyAny>> {
|
||||
let mut op = self_.inner_ref()?.add(data);
|
||||
if mode == "append" {
|
||||
@@ -314,81 +312,6 @@ impl Table {
|
||||
} else {
|
||||
return Err(PyValueError::new_err(format!("Invalid mode: {}", mode)));
|
||||
}
|
||||
if let Some(progress_obj) = progress {
|
||||
let is_callable = Python::attach(|py| progress_obj.bind(py).is_callable());
|
||||
if is_callable {
|
||||
// Callback: call with a dict of progress info.
|
||||
op = op.progress(move |p| {
|
||||
Python::attach(|py| {
|
||||
let dict = PyDict::new(py);
|
||||
if let Err(e) = dict
|
||||
.set_item("output_rows", p.output_rows())
|
||||
.and_then(|_| dict.set_item("output_bytes", p.output_bytes()))
|
||||
.and_then(|_| dict.set_item("total_rows", p.total_rows()))
|
||||
.and_then(|_| {
|
||||
dict.set_item("elapsed_seconds", p.elapsed().as_secs_f64())
|
||||
})
|
||||
.and_then(|_| dict.set_item("active_tasks", p.active_tasks()))
|
||||
.and_then(|_| dict.set_item("total_tasks", p.total_tasks()))
|
||||
.and_then(|_| dict.set_item("done", p.done()))
|
||||
{
|
||||
log::warn!("progress dict error: {e}");
|
||||
return;
|
||||
}
|
||||
if let Err(e) = progress_obj.call1(py, (dict,)) {
|
||||
log::warn!("progress callback error: {e}");
|
||||
}
|
||||
});
|
||||
});
|
||||
} else {
|
||||
// tqdm-like: has update() method.
|
||||
let mut last_rows: usize = 0;
|
||||
let mut total_set = false;
|
||||
op = op.progress(move |p| {
|
||||
let current = p.output_rows();
|
||||
let prev = last_rows;
|
||||
last_rows = current;
|
||||
Python::attach(|py| {
|
||||
if let Some(total) = p.total_rows()
|
||||
&& !total_set
|
||||
{
|
||||
if let Err(e) = progress_obj.setattr(py, "total", total) {
|
||||
log::warn!("progress setattr error: {e}");
|
||||
}
|
||||
total_set = true;
|
||||
}
|
||||
let delta = current.saturating_sub(prev);
|
||||
if delta > 0 {
|
||||
if let Err(e) = progress_obj.call_method1(py, "update", (delta,)) {
|
||||
log::warn!("progress update error: {e}");
|
||||
}
|
||||
// Show throughput and active workers in tqdm postfix.
|
||||
let elapsed = p.elapsed().as_secs_f64();
|
||||
if elapsed > 0.0 {
|
||||
let mb_per_sec = p.output_bytes() as f64 / elapsed / 1_000_000.0;
|
||||
let postfix = format!(
|
||||
"{:.1} MB/s | {}/{} workers",
|
||||
mb_per_sec,
|
||||
p.active_tasks(),
|
||||
p.total_tasks()
|
||||
);
|
||||
if let Err(e) =
|
||||
progress_obj.call_method1(py, "set_postfix_str", (postfix,))
|
||||
{
|
||||
log::warn!("progress set_postfix_str error: {e}");
|
||||
}
|
||||
}
|
||||
}
|
||||
if p.done() {
|
||||
// Force a final refresh so the bar shows completion.
|
||||
if let Err(e) = progress_obj.call_method0(py, "refresh") {
|
||||
log::warn!("progress refresh error: {e}");
|
||||
}
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
future_into_py(self_.py(), async move {
|
||||
let result = op.execute().await.infer_error()?;
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
[package]
|
||||
name = "lancedb"
|
||||
version = "0.27.2-beta.1"
|
||||
version = "0.27.0-beta.5"
|
||||
edition.workspace = true
|
||||
description = "LanceDB: A serverless, low-latency vector database for AI applications"
|
||||
license.workspace = true
|
||||
|
||||
@@ -596,8 +596,11 @@ pub struct ConnectBuilder {
|
||||
}
|
||||
|
||||
#[cfg(feature = "remote")]
|
||||
const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 1] =
|
||||
[("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name")];
|
||||
const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 3] = [
|
||||
("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name"),
|
||||
("AZURE_CLIENT_ID", "azure_client_id"),
|
||||
("AZURE_TENANT_ID", "azure_tenant_id"),
|
||||
];
|
||||
|
||||
impl ConnectBuilder {
|
||||
/// Create a new [`ConnectOptions`] with the given database URI.
|
||||
|
||||
@@ -240,7 +240,7 @@ impl Shuffler {
|
||||
.await?;
|
||||
// Need to read the entire file in a single batch for in-memory shuffling
|
||||
let batch = reader.read_record_batch(0, reader.num_rows()).await?;
|
||||
let mut rng = rng.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut rng = rng.lock().unwrap();
|
||||
Self::shuffle_batch(&batch, &mut rng, clump_size)
|
||||
}
|
||||
})
|
||||
|
||||
@@ -66,13 +66,13 @@ impl IoTrackingStore {
|
||||
}
|
||||
|
||||
fn record_read(&self, num_bytes: u64) {
|
||||
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut stats = self.stats.lock().unwrap();
|
||||
stats.read_iops += 1;
|
||||
stats.read_bytes += num_bytes;
|
||||
}
|
||||
|
||||
fn record_write(&self, num_bytes: u64) {
|
||||
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut stats = self.stats.lock().unwrap();
|
||||
stats.write_iops += 1;
|
||||
stats.write_bytes += num_bytes;
|
||||
}
|
||||
@@ -229,63 +229,10 @@ impl MultipartUpload for IoTrackingMultipartUpload {
|
||||
|
||||
fn put_part(&mut self, payload: PutPayload) -> UploadPart {
|
||||
{
|
||||
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut stats = self.stats.lock().unwrap();
|
||||
stats.write_iops += 1;
|
||||
stats.write_bytes += payload.content_length() as u64;
|
||||
}
|
||||
self.target.put_part(payload)
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
/// Helper: poison a Mutex<IoStats> by panicking while holding the lock.
|
||||
fn poison_stats(stats: &Arc<Mutex<IoStats>>) {
|
||||
let stats_clone = stats.clone();
|
||||
let handle = std::thread::spawn(move || {
|
||||
let _guard = stats_clone.lock().unwrap();
|
||||
panic!("intentional panic to poison stats mutex");
|
||||
});
|
||||
let _ = handle.join();
|
||||
assert!(stats.lock().is_err(), "mutex should be poisoned");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_read_recovers_from_poisoned_lock() {
|
||||
let stats = Arc::new(Mutex::new(IoStats::default()));
|
||||
let store = IoTrackingStore {
|
||||
target: Arc::new(object_store::memory::InMemory::new()),
|
||||
stats: stats.clone(),
|
||||
};
|
||||
|
||||
poison_stats(&stats);
|
||||
|
||||
// record_read should not panic
|
||||
store.record_read(1024);
|
||||
|
||||
// Verify the stats were updated despite poisoning
|
||||
let s = stats.lock().unwrap_or_else(|e| e.into_inner());
|
||||
assert_eq!(s.read_iops, 1);
|
||||
assert_eq!(s.read_bytes, 1024);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_write_recovers_from_poisoned_lock() {
|
||||
let stats = Arc::new(Mutex::new(IoStats::default()));
|
||||
let store = IoTrackingStore {
|
||||
target: Arc::new(object_store::memory::InMemory::new()),
|
||||
stats: stats.clone(),
|
||||
};
|
||||
|
||||
poison_stats(&stats);
|
||||
|
||||
// record_write should not panic
|
||||
store.record_write(2048);
|
||||
|
||||
let s = stats.lock().unwrap_or_else(|e| e.into_inner());
|
||||
assert_eq!(s.write_iops, 1);
|
||||
assert_eq!(s.write_bytes, 2048);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -5,7 +5,7 @@ use std::sync::Arc;
|
||||
use std::{future::Future, time::Duration};
|
||||
|
||||
use arrow::compute::concat_batches;
|
||||
use arrow_array::{Array, Float16Array, Float32Array, Float64Array, RecordBatch, make_array};
|
||||
use arrow_array::{Array, Float16Array, Float32Array, Float64Array, make_array};
|
||||
use arrow_schema::{DataType, SchemaRef};
|
||||
use datafusion_expr::Expr;
|
||||
use datafusion_physical_plan::ExecutionPlan;
|
||||
@@ -17,17 +17,15 @@ use lance_datafusion::exec::execute_plan;
|
||||
use lance_index::scalar::FullTextSearchQuery;
|
||||
use lance_index::scalar::inverted::SCORE_COL;
|
||||
use lance_index::vector::DIST_COL;
|
||||
use lance_io::stream::RecordBatchStreamAdapter;
|
||||
|
||||
use crate::DistanceType;
|
||||
use crate::error::{Error, Result};
|
||||
use crate::rerankers::rrf::RRFReranker;
|
||||
use crate::rerankers::{NormalizeMethod, Reranker, check_reranker_result};
|
||||
use crate::table::BaseTable;
|
||||
use crate::utils::{MaxBatchLengthStream, TimeoutStream};
|
||||
use crate::{
|
||||
arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
|
||||
table::AnyQuery,
|
||||
};
|
||||
use crate::utils::TimeoutStream;
|
||||
use crate::{arrow::SendableRecordBatchStream, table::AnyQuery};
|
||||
|
||||
mod hybrid;
|
||||
|
||||
@@ -606,14 +604,6 @@ impl Default for QueryExecutionOptions {
|
||||
}
|
||||
}
|
||||
|
||||
impl QueryExecutionOptions {
|
||||
fn without_output_batch_length_limit(&self) -> Self {
|
||||
let mut options = self.clone();
|
||||
options.max_batch_length = 0;
|
||||
options
|
||||
}
|
||||
}
|
||||
|
||||
/// A trait for a query object that can be executed to get results
|
||||
///
|
||||
/// There are various kinds of queries but they all return results
|
||||
@@ -1190,8 +1180,6 @@ impl VectorQuery {
|
||||
&self,
|
||||
options: QueryExecutionOptions,
|
||||
) -> Result<SendableRecordBatchStream> {
|
||||
let max_batch_length = options.max_batch_length as usize;
|
||||
let internal_options = options.without_output_batch_length_limit();
|
||||
// clone query and specify we want to include row IDs, which can be needed for reranking
|
||||
let mut fts_query = Query::new(self.parent.clone());
|
||||
fts_query.request = self.request.base.clone();
|
||||
@@ -1201,8 +1189,8 @@ impl VectorQuery {
|
||||
|
||||
vector_query.request.base.full_text_search = None;
|
||||
let (fts_results, vec_results) = try_join!(
|
||||
fts_query.execute_with_options(internal_options.clone()),
|
||||
vector_query.inner_execute_with_options(internal_options)
|
||||
fts_query.execute_with_options(options.clone()),
|
||||
vector_query.inner_execute_with_options(options)
|
||||
)?;
|
||||
|
||||
let (fts_results, vec_results) = try_join!(
|
||||
@@ -1257,7 +1245,9 @@ impl VectorQuery {
|
||||
results = results.drop_column(ROW_ID)?;
|
||||
}
|
||||
|
||||
Ok(single_batch_stream(results, max_batch_length))
|
||||
Ok(SendableRecordBatchStream::from(
|
||||
RecordBatchStreamAdapter::new(results.schema(), stream::iter([Ok(results)])),
|
||||
))
|
||||
}
|
||||
|
||||
async fn inner_execute_with_options(
|
||||
@@ -1266,7 +1256,6 @@ impl VectorQuery {
|
||||
) -> Result<SendableRecordBatchStream> {
|
||||
let plan = self.create_plan(options.clone()).await?;
|
||||
let inner = execute_plan(plan, Default::default())?;
|
||||
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
|
||||
let inner = if let Some(timeout) = options.timeout {
|
||||
TimeoutStream::new_boxed(inner, timeout)
|
||||
} else {
|
||||
@@ -1276,25 +1265,6 @@ impl VectorQuery {
|
||||
}
|
||||
}
|
||||
|
||||
fn single_batch_stream(batch: RecordBatch, max_batch_length: usize) -> SendableRecordBatchStream {
|
||||
let schema = batch.schema();
|
||||
if max_batch_length == 0 || batch.num_rows() <= max_batch_length {
|
||||
return Box::pin(SimpleRecordBatchStream::new(
|
||||
stream::iter([Ok(batch)]),
|
||||
schema,
|
||||
));
|
||||
}
|
||||
|
||||
let mut batches = Vec::with_capacity(batch.num_rows().div_ceil(max_batch_length));
|
||||
let mut offset = 0;
|
||||
while offset < batch.num_rows() {
|
||||
let length = (batch.num_rows() - offset).min(max_batch_length);
|
||||
batches.push(Ok(batch.slice(offset, length)));
|
||||
offset += length;
|
||||
}
|
||||
Box::pin(SimpleRecordBatchStream::new(stream::iter(batches), schema))
|
||||
}
|
||||
|
||||
impl ExecutableQuery for VectorQuery {
|
||||
async fn create_plan(&self, options: QueryExecutionOptions) -> Result<Arc<dyn ExecutionPlan>> {
|
||||
let query = AnyQuery::VectorQuery(self.request.clone());
|
||||
@@ -1783,50 +1753,6 @@ mod tests {
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
async fn make_large_vector_table(tmp_dir: &tempfile::TempDir, rows: usize) -> Table {
|
||||
let dataset_path = tmp_dir.path().join("large_test.lance");
|
||||
let uri = dataset_path.to_str().unwrap();
|
||||
|
||||
let schema = Arc::new(ArrowSchema::new(vec![
|
||||
ArrowField::new("id", DataType::Utf8, false),
|
||||
ArrowField::new(
|
||||
"vector",
|
||||
DataType::FixedSizeList(
|
||||
Arc::new(ArrowField::new("item", DataType::Float32, true)),
|
||||
4,
|
||||
),
|
||||
false,
|
||||
),
|
||||
]));
|
||||
|
||||
let ids = StringArray::from_iter_values((0..rows).map(|i| format!("row-{i}")));
|
||||
let vectors = FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
|
||||
(0..rows).map(|i| Some(vec![Some(i as f32), Some(1.0), Some(2.0), Some(3.0)])),
|
||||
4,
|
||||
);
|
||||
let batch =
|
||||
RecordBatch::try_new(schema.clone(), vec![Arc::new(ids), Arc::new(vectors)]).unwrap();
|
||||
|
||||
let conn = connect(uri).execute().await.unwrap();
|
||||
conn.create_table("my_table", vec![batch])
|
||||
.execute()
|
||||
.await
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
async fn assert_stream_batches_at_most(
|
||||
mut results: SendableRecordBatchStream,
|
||||
max_batch_length: usize,
|
||||
) {
|
||||
let mut saw_batch = false;
|
||||
while let Some(batch) = results.next().await {
|
||||
let batch = batch.unwrap();
|
||||
saw_batch = true;
|
||||
assert!(batch.num_rows() <= max_batch_length);
|
||||
}
|
||||
assert!(saw_batch);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_execute_with_options() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
@@ -1846,83 +1772,6 @@ mod tests {
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_vector_query_execute_with_options_respects_max_batch_length() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
let table = make_large_vector_table(&tmp_dir, 10_000).await;
|
||||
|
||||
let results = table
|
||||
.query()
|
||||
.nearest_to(vec![0.0, 1.0, 2.0, 3.0])
|
||||
.unwrap()
|
||||
.limit(10_000)
|
||||
.execute_with_options(QueryExecutionOptions {
|
||||
max_batch_length: 100,
|
||||
..Default::default()
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
assert_stream_batches_at_most(results, 100).await;
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_hybrid_query_execute_with_options_respects_max_batch_length() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
let dataset_path = tmp_dir.path();
|
||||
let conn = connect(dataset_path.to_str().unwrap())
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let dims = 2;
|
||||
let rows = 512;
|
||||
let schema = Arc::new(ArrowSchema::new(vec![
|
||||
ArrowField::new("text", DataType::Utf8, false),
|
||||
ArrowField::new(
|
||||
"vector",
|
||||
DataType::FixedSizeList(
|
||||
Arc::new(ArrowField::new("item", DataType::Float32, true)),
|
||||
dims,
|
||||
),
|
||||
false,
|
||||
),
|
||||
]));
|
||||
|
||||
let text = StringArray::from_iter_values((0..rows).map(|_| "match"));
|
||||
let vectors = FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
|
||||
(0..rows).map(|i| Some(vec![Some(i as f32), Some(0.0)])),
|
||||
dims,
|
||||
);
|
||||
let record_batch =
|
||||
RecordBatch::try_new(schema.clone(), vec![Arc::new(text), Arc::new(vectors)]).unwrap();
|
||||
let table = conn
|
||||
.create_table("my_table", record_batch)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
table
|
||||
.create_index(&["text"], crate::index::Index::FTS(Default::default()))
|
||||
.replace(true)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let results = table
|
||||
.query()
|
||||
.full_text_search(FullTextSearchQuery::new("match".to_string()))
|
||||
.limit(rows)
|
||||
.nearest_to(&[0.0, 0.0])
|
||||
.unwrap()
|
||||
.execute_with_options(QueryExecutionOptions {
|
||||
max_batch_length: 100,
|
||||
..Default::default()
|
||||
})
|
||||
.await
|
||||
.unwrap();
|
||||
assert_stream_batches_at_most(results, 100).await;
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_analyze_plan() {
|
||||
let tmp_dir = tempdir().unwrap();
|
||||
|
||||
@@ -443,13 +443,23 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
|
||||
})?,
|
||||
);
|
||||
}
|
||||
if let Some(v) = options.0.get("azure_storage_account_name") {
|
||||
headers.insert(
|
||||
HeaderName::from_static("x-azure-storage-account-name"),
|
||||
HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
|
||||
message: format!("non-ascii storage account name '{}' provided", db_name),
|
||||
})?,
|
||||
);
|
||||
// Map azure storage options to x-azure-* headers.
|
||||
// The option key uses underscores (e.g. "azure_client_id") while the
|
||||
// header uses hyphens (e.g. "x-azure-client-id").
|
||||
let azure_opts: [(&str, &str); 3] = [
|
||||
("azure_storage_account_name", "x-azure-storage-account-name"),
|
||||
("azure_client_id", "x-azure-client-id"),
|
||||
("azure_tenant_id", "x-azure-tenant-id"),
|
||||
];
|
||||
for (opt_key, header_name) in azure_opts {
|
||||
if let Some(v) = options.0.get(opt_key) {
|
||||
headers.insert(
|
||||
HeaderName::from_static(header_name),
|
||||
HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
|
||||
message: format!("non-ascii value '{}' for option '{}'", v, opt_key),
|
||||
})?,
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
for (key, value) in &config.extra_headers {
|
||||
@@ -1072,4 +1082,34 @@ mod tests {
|
||||
_ => panic!("Expected Runtime error"),
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_default_headers_azure_opts() {
|
||||
let mut opts = HashMap::new();
|
||||
opts.insert(
|
||||
"azure_storage_account_name".to_string(),
|
||||
"myaccount".to_string(),
|
||||
);
|
||||
opts.insert("azure_client_id".to_string(), "my-client-id".to_string());
|
||||
opts.insert("azure_tenant_id".to_string(), "my-tenant-id".to_string());
|
||||
let remote_opts = RemoteOptions::new(opts);
|
||||
|
||||
let headers = RestfulLanceDbClient::<Sender>::default_headers(
|
||||
"test-key",
|
||||
"us-east-1",
|
||||
"testdb",
|
||||
false,
|
||||
&remote_opts,
|
||||
None,
|
||||
&ClientConfig::default(),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(
|
||||
headers.get("x-azure-storage-account-name").unwrap(),
|
||||
"myaccount"
|
||||
);
|
||||
assert_eq!(headers.get("x-azure-client-id").unwrap(), "my-client-id");
|
||||
assert_eq!(headers.get("x-azure-tenant-id").unwrap(), "my-tenant-id");
|
||||
}
|
||||
}
|
||||
|
||||
@@ -72,10 +72,6 @@ impl ServerVersion {
|
||||
pub fn support_structural_fts(&self) -> bool {
|
||||
self.0 >= semver::Version::new(0, 3, 0)
|
||||
}
|
||||
|
||||
pub fn support_multipart_write(&self) -> bool {
|
||||
self.0 >= semver::Version::new(0, 4, 0)
|
||||
}
|
||||
}
|
||||
|
||||
pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
|
||||
@@ -782,7 +778,12 @@ impl RemoteOptions {
|
||||
|
||||
impl From<StorageOptions> for RemoteOptions {
|
||||
fn from(options: StorageOptions) -> Self {
|
||||
let supported_opts = vec!["account_name", "azure_storage_account_name"];
|
||||
let supported_opts = vec![
|
||||
"account_name",
|
||||
"azure_storage_account_name",
|
||||
"azure_client_id",
|
||||
"azure_tenant_id",
|
||||
];
|
||||
let mut filtered = HashMap::new();
|
||||
for opt in supported_opts {
|
||||
if let Some(v) = options.0.get(opt) {
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -11,14 +11,10 @@ use arrow_ipc::CompressionType;
|
||||
use datafusion_common::{DataFusionError, Result as DataFusionResult};
|
||||
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
|
||||
use datafusion_physical_expr::EquivalenceProperties;
|
||||
use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricsSet};
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use datafusion_physical_plan::{
|
||||
DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
|
||||
};
|
||||
use datafusion_physical_plan::{DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties};
|
||||
use futures::StreamExt;
|
||||
use http::header::CONTENT_TYPE;
|
||||
use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;
|
||||
|
||||
use crate::Error;
|
||||
use crate::remote::ARROW_STREAM_CONTENT_TYPE;
|
||||
@@ -26,16 +22,13 @@ use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender};
|
||||
use crate::remote::table::RemoteTable;
|
||||
use crate::table::AddResult;
|
||||
use crate::table::datafusion::insert::COUNT_SCHEMA;
|
||||
use crate::table::write_progress::WriteProgressTracker;
|
||||
|
||||
/// ExecutionPlan for inserting data into a remote LanceDB table.
|
||||
///
|
||||
/// Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint.
|
||||
///
|
||||
/// When `upload_id` is set, inserts are staged as part of a multipart write
|
||||
/// session and the plan supports multiple partitions for parallel uploads.
|
||||
/// Without `upload_id`, the plan requires a single partition and commits
|
||||
/// immediately.
|
||||
/// This plan:
|
||||
/// 1. Requires single partition (no parallel remote inserts yet)
|
||||
/// 2. Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint
|
||||
/// 3. Stores AddResult for retrieval after execution
|
||||
#[derive(Debug)]
|
||||
pub struct RemoteInsertExec<S: HttpSend = Sender> {
|
||||
table_name: String,
|
||||
@@ -45,69 +38,21 @@ pub struct RemoteInsertExec<S: HttpSend = Sender> {
|
||||
overwrite: bool,
|
||||
properties: PlanProperties,
|
||||
add_result: Arc<Mutex<Option<AddResult>>>,
|
||||
metrics: ExecutionPlanMetricsSet,
|
||||
upload_id: Option<String>,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
}
|
||||
|
||||
impl<S: HttpSend + 'static> RemoteInsertExec<S> {
|
||||
/// Create a new single-partition RemoteInsertExec.
|
||||
/// Create a new RemoteInsertExec.
|
||||
pub fn new(
|
||||
table_name: String,
|
||||
identifier: String,
|
||||
client: RestfulLanceDbClient<S>,
|
||||
input: Arc<dyn ExecutionPlan>,
|
||||
overwrite: bool,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
) -> Self {
|
||||
Self::new_inner(
|
||||
table_name, identifier, client, input, overwrite, None, tracker,
|
||||
)
|
||||
}
|
||||
|
||||
/// Create a multi-partition RemoteInsertExec for use with multipart writes.
|
||||
///
|
||||
/// Each partition's insert is staged under the given `upload_id` without
|
||||
/// committing. The caller is responsible for calling the complete (or abort)
|
||||
/// endpoint after all partitions finish.
|
||||
pub fn new_multipart(
|
||||
table_name: String,
|
||||
identifier: String,
|
||||
client: RestfulLanceDbClient<S>,
|
||||
input: Arc<dyn ExecutionPlan>,
|
||||
overwrite: bool,
|
||||
upload_id: String,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
) -> Self {
|
||||
Self::new_inner(
|
||||
table_name,
|
||||
identifier,
|
||||
client,
|
||||
input,
|
||||
overwrite,
|
||||
Some(upload_id),
|
||||
tracker,
|
||||
)
|
||||
}
|
||||
|
||||
fn new_inner(
|
||||
table_name: String,
|
||||
identifier: String,
|
||||
client: RestfulLanceDbClient<S>,
|
||||
input: Arc<dyn ExecutionPlan>,
|
||||
overwrite: bool,
|
||||
upload_id: Option<String>,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
) -> Self {
|
||||
let num_partitions = if upload_id.is_some() {
|
||||
input.output_partitioning().partition_count()
|
||||
} else {
|
||||
1
|
||||
};
|
||||
let schema = COUNT_SCHEMA.clone();
|
||||
let properties = PlanProperties::new(
|
||||
EquivalenceProperties::new(schema),
|
||||
datafusion_physical_plan::Partitioning::UnknownPartitioning(num_partitions),
|
||||
datafusion_physical_plan::Partitioning::UnknownPartitioning(1),
|
||||
datafusion_physical_plan::execution_plan::EmissionType::Final,
|
||||
datafusion_physical_plan::execution_plan::Boundedness::Bounded,
|
||||
);
|
||||
@@ -120,9 +65,6 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
|
||||
overwrite,
|
||||
properties,
|
||||
add_result: Arc::new(Mutex::new(None)),
|
||||
metrics: ExecutionPlanMetricsSet::new(),
|
||||
upload_id,
|
||||
tracker,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -130,10 +72,7 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
|
||||
// TODO: this will be used when we wire this up to Table::add().
|
||||
#[allow(dead_code)]
|
||||
pub fn add_result(&self) -> Option<AddResult> {
|
||||
self.add_result
|
||||
.lock()
|
||||
.unwrap_or_else(|e| e.into_inner())
|
||||
.clone()
|
||||
self.add_result.lock().unwrap().clone()
|
||||
}
|
||||
|
||||
/// Stream the input into an HTTP body as an Arrow IPC stream, capturing any
|
||||
@@ -144,7 +83,6 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
|
||||
fn stream_as_http_body(
|
||||
data: SendableRecordBatchStream,
|
||||
error_tx: tokio::sync::oneshot::Sender<DataFusionError>,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
) -> DataFusionResult<reqwest::Body> {
|
||||
let options = arrow_ipc::writer::IpcWriteOptions::default()
|
||||
.try_with_compression(Some(CompressionType::LZ4_FRAME))?;
|
||||
@@ -156,46 +94,37 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
|
||||
|
||||
let stream = futures::stream::try_unfold(
|
||||
(data, writer, Some(error_tx), false),
|
||||
move |(mut data, mut writer, error_tx, finished)| {
|
||||
let tracker = tracker.clone();
|
||||
async move {
|
||||
if finished {
|
||||
return Ok(None);
|
||||
move |(mut data, mut writer, error_tx, finished)| async move {
|
||||
if finished {
|
||||
return Ok(None);
|
||||
}
|
||||
match data.next().await {
|
||||
Some(Ok(batch)) => {
|
||||
writer
|
||||
.write(&batch)
|
||||
.map_err(|e| std::io::Error::other(e.to_string()))?;
|
||||
let buffer = std::mem::take(writer.get_mut());
|
||||
Ok(Some((buffer, (data, writer, error_tx, false))))
|
||||
}
|
||||
match data.next().await {
|
||||
Some(Ok(batch)) => {
|
||||
writer
|
||||
.write(&batch)
|
||||
.map_err(|e| std::io::Error::other(e.to_string()))?;
|
||||
let buffer = std::mem::take(writer.get_mut());
|
||||
if let Some(ref t) = tracker {
|
||||
t.record_bytes(buffer.len());
|
||||
}
|
||||
Ok(Some((buffer, (data, writer, error_tx, false))))
|
||||
Some(Err(e)) => {
|
||||
// Send the original error through the channel before
|
||||
// returning a generic error to reqwest.
|
||||
if let Some(tx) = error_tx {
|
||||
let _ = tx.send(e);
|
||||
}
|
||||
Some(Err(e)) => {
|
||||
// Send the original error through the channel before
|
||||
// returning a generic error to reqwest.
|
||||
if let Some(tx) = error_tx {
|
||||
let _ = tx.send(e);
|
||||
}
|
||||
Err(std::io::Error::other(
|
||||
"input stream error (see error channel)",
|
||||
))
|
||||
}
|
||||
None => {
|
||||
writer
|
||||
.finish()
|
||||
.map_err(|e| std::io::Error::other(e.to_string()))?;
|
||||
let buffer = std::mem::take(writer.get_mut());
|
||||
if buffer.is_empty() {
|
||||
Ok(None)
|
||||
} else {
|
||||
if let Some(ref t) = tracker {
|
||||
t.record_bytes(buffer.len());
|
||||
}
|
||||
Ok(Some((buffer, (data, writer, None, true))))
|
||||
}
|
||||
Err(std::io::Error::other(
|
||||
"input stream error (see error channel)",
|
||||
))
|
||||
}
|
||||
None => {
|
||||
writer
|
||||
.finish()
|
||||
.map_err(|e| std::io::Error::other(e.to_string()))?;
|
||||
let buffer = std::mem::take(writer.get_mut());
|
||||
if buffer.is_empty() {
|
||||
Ok(None)
|
||||
} else {
|
||||
Ok(Some((buffer, (data, writer, None, true))))
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -245,11 +174,8 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
}
|
||||
|
||||
fn required_input_distribution(&self) -> Vec<datafusion_physical_plan::Distribution> {
|
||||
if self.upload_id.is_some() {
|
||||
vec![datafusion_physical_plan::Distribution::UnspecifiedDistribution]
|
||||
} else {
|
||||
vec![datafusion_physical_plan::Distribution::SinglePartition]
|
||||
}
|
||||
// Until we have a separate commit endpoint, we need to do all inserts in a single partition
|
||||
vec![datafusion_physical_plan::Distribution::SinglePartition]
|
||||
}
|
||||
|
||||
fn benefits_from_input_partitioning(&self) -> Vec<bool> {
|
||||
@@ -265,14 +191,12 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
"RemoteInsertExec requires exactly one child".to_string(),
|
||||
));
|
||||
}
|
||||
Ok(Arc::new(Self::new_inner(
|
||||
Ok(Arc::new(Self::new(
|
||||
self.table_name.clone(),
|
||||
self.identifier.clone(),
|
||||
self.client.clone(),
|
||||
children[0].clone(),
|
||||
self.overwrite,
|
||||
self.upload_id.clone(),
|
||||
self.tracker.clone(),
|
||||
)))
|
||||
}
|
||||
|
||||
@@ -281,29 +205,18 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
partition: usize,
|
||||
context: Arc<TaskContext>,
|
||||
) -> DataFusionResult<SendableRecordBatchStream> {
|
||||
if self.upload_id.is_none() && partition != 0 {
|
||||
if partition != 0 {
|
||||
return Err(DataFusionError::Internal(
|
||||
"RemoteInsertExec only supports single partition execution without upload_id"
|
||||
.to_string(),
|
||||
"RemoteInsertExec only supports single partition execution".to_string(),
|
||||
));
|
||||
}
|
||||
|
||||
let input_stream = self.input.execute(partition, context)?;
|
||||
let input_schema = input_stream.schema();
|
||||
let input_stream: SendableRecordBatchStream =
|
||||
Box::pin(InstrumentedRecordBatchStreamAdapter::new(
|
||||
input_schema,
|
||||
input_stream,
|
||||
partition,
|
||||
&self.metrics,
|
||||
));
|
||||
let input_stream = self.input.execute(0, context)?;
|
||||
let client = self.client.clone();
|
||||
let identifier = self.identifier.clone();
|
||||
let overwrite = self.overwrite;
|
||||
let add_result = self.add_result.clone();
|
||||
let table_name = self.table_name.clone();
|
||||
let upload_id = self.upload_id.clone();
|
||||
let tracker = self.tracker.clone();
|
||||
|
||||
let stream = futures::stream::once(async move {
|
||||
let mut request = client
|
||||
@@ -313,12 +226,9 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
if overwrite {
|
||||
request = request.query(&[("mode", "overwrite")]);
|
||||
}
|
||||
if let Some(ref uid) = upload_id {
|
||||
request = request.query(&[("upload_id", uid.as_str())]);
|
||||
}
|
||||
|
||||
let (error_tx, mut error_rx) = tokio::sync::oneshot::channel();
|
||||
let body = Self::stream_as_http_body(input_stream, error_tx, tracker)?;
|
||||
let body = Self::stream_as_http_body(input_stream, error_tx)?;
|
||||
let request = request.body(body);
|
||||
|
||||
let result: DataFusionResult<(String, _)> = async {
|
||||
@@ -352,43 +262,32 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
|
||||
let (request_id, response) = result?;
|
||||
|
||||
// For multipart writes, the staging response is not the final
|
||||
// version. Only parse AddResult for non-multipart inserts.
|
||||
if upload_id.is_none() {
|
||||
let body_text = response.text().await.map_err(|e| {
|
||||
let body_text = response.text().await.map_err(|e| {
|
||||
DataFusionError::External(Box::new(Error::Http {
|
||||
source: Box::new(e),
|
||||
request_id: request_id.clone(),
|
||||
status_code: None,
|
||||
}))
|
||||
})?;
|
||||
|
||||
let parsed_result = if body_text.trim().is_empty() {
|
||||
// Backward compatible with old servers
|
||||
AddResult { version: 0 }
|
||||
} else {
|
||||
serde_json::from_str(&body_text).map_err(|e| {
|
||||
DataFusionError::External(Box::new(Error::Http {
|
||||
source: Box::new(e),
|
||||
source: format!("Failed to parse add response: {}", e).into(),
|
||||
request_id: request_id.clone(),
|
||||
status_code: None,
|
||||
}))
|
||||
})?;
|
||||
|
||||
let parsed_result = if body_text.trim().is_empty() {
|
||||
// Backward compatible with old servers
|
||||
AddResult { version: 0 }
|
||||
} else {
|
||||
serde_json::from_str(&body_text).map_err(|e| {
|
||||
DataFusionError::External(Box::new(Error::Http {
|
||||
source: format!("Failed to parse add response: {}", e).into(),
|
||||
request_id: request_id.clone(),
|
||||
status_code: None,
|
||||
}))
|
||||
})?
|
||||
};
|
||||
})?
|
||||
};
|
||||
|
||||
{
|
||||
let mut res_lock = add_result.lock().map_err(|_| {
|
||||
DataFusionError::Execution("Failed to acquire lock for add_result".to_string())
|
||||
})?;
|
||||
*res_lock = Some(parsed_result);
|
||||
} else {
|
||||
// We don't use the body in this case, but we should still consume it.
|
||||
let _ = response.bytes().await.map_err(|e| {
|
||||
DataFusionError::External(Box::new(Error::Http {
|
||||
source: Box::new(e),
|
||||
request_id: request_id.clone(),
|
||||
status_code: None,
|
||||
}))
|
||||
})?;
|
||||
}
|
||||
|
||||
// Return a single batch with count 0 (actual count is tracked in add_result)
|
||||
@@ -402,10 +301,6 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
|
||||
stream,
|
||||
)))
|
||||
}
|
||||
|
||||
fn metrics(&self) -> Option<MetricsSet> {
|
||||
Some(self.metrics.clone_inner())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
|
||||
@@ -74,10 +74,7 @@ pub mod optimize;
|
||||
pub mod query;
|
||||
pub mod schema_evolution;
|
||||
pub mod update;
|
||||
pub mod write_progress;
|
||||
use crate::index::waiter::wait_for_index;
|
||||
#[cfg(feature = "remote")]
|
||||
pub(crate) use add_data::PreprocessingOutput;
|
||||
pub use add_data::{AddDataBuilder, AddDataMode, AddResult, NaNVectorBehavior};
|
||||
pub use chrono::Duration;
|
||||
pub use delete::DeleteResult;
|
||||
@@ -443,34 +440,6 @@ mod test_utils {
|
||||
embedding_registry: Arc::new(MemoryRegistry::new()),
|
||||
}
|
||||
}
|
||||
|
||||
pub fn new_with_handler_version_and_config<T>(
|
||||
name: impl Into<String>,
|
||||
version: semver::Version,
|
||||
handler: impl Fn(reqwest::Request) -> http::Response<T> + Clone + Send + Sync + 'static,
|
||||
config: crate::remote::ClientConfig,
|
||||
) -> Self
|
||||
where
|
||||
T: Into<reqwest::Body>,
|
||||
{
|
||||
let inner = Arc::new(
|
||||
crate::remote::table::RemoteTable::new_mock_with_version_and_config(
|
||||
name.into(),
|
||||
handler.clone(),
|
||||
Some(version),
|
||||
config.clone(),
|
||||
),
|
||||
);
|
||||
let database = Arc::new(crate::remote::db::RemoteDatabase::new_mock_with_config(
|
||||
handler, config,
|
||||
));
|
||||
Self {
|
||||
inner,
|
||||
database: Some(database),
|
||||
// Registry is unused.
|
||||
embedding_registry: Arc::new(MemoryRegistry::new()),
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2229,26 +2198,21 @@ impl BaseTable for NativeTable {
|
||||
|
||||
let table_schema = Schema::from(&ds.schema().clone());
|
||||
|
||||
let num_partitions = if let Some(parallelism) = add.write_parallelism {
|
||||
parallelism
|
||||
// Peek at the first batch to estimate a good partition count for
|
||||
// write parallelism.
|
||||
let mut peeked = PeekedScannable::new(add.data);
|
||||
let num_partitions = if let Some(first_batch) = peeked.peek().await {
|
||||
let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
|
||||
estimate_write_partitions(
|
||||
first_batch.get_array_memory_size(),
|
||||
first_batch.num_rows(),
|
||||
peeked.num_rows(),
|
||||
max_partitions,
|
||||
)
|
||||
} else {
|
||||
// Peek at the first batch to estimate a good partition count for
|
||||
// write parallelism.
|
||||
let mut peeked = PeekedScannable::new(add.data);
|
||||
let n = if let Some(first_batch) = peeked.peek().await {
|
||||
let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
|
||||
estimate_write_partitions(
|
||||
first_batch.get_array_memory_size(),
|
||||
first_batch.num_rows(),
|
||||
peeked.num_rows(),
|
||||
max_partitions,
|
||||
)
|
||||
} else {
|
||||
1
|
||||
};
|
||||
add.data = Box::new(peeked);
|
||||
n
|
||||
1
|
||||
};
|
||||
add.data = Box::new(peeked);
|
||||
|
||||
let output = add.into_plan(&table_schema, &table_def)?;
|
||||
|
||||
@@ -2277,21 +2241,13 @@ impl BaseTable for NativeTable {
|
||||
|
||||
let insert_exec = Arc::new(InsertExec::new(ds_wrapper.clone(), ds, plan, lance_params));
|
||||
|
||||
let tracker_for_tasks = output.tracker.clone();
|
||||
if let Some(ref t) = tracker_for_tasks {
|
||||
t.set_total_tasks(num_partitions);
|
||||
}
|
||||
let _finish = write_progress::FinishOnDrop(output.tracker);
|
||||
|
||||
// Execute all partitions in parallel.
|
||||
let task_ctx = Arc::new(TaskContext::default());
|
||||
let handles = FuturesUnordered::new();
|
||||
for partition in 0..num_partitions {
|
||||
let exec = insert_exec.clone();
|
||||
let ctx = task_ctx.clone();
|
||||
let tracker = tracker_for_tasks.clone();
|
||||
handles.push(tokio::spawn(async move {
|
||||
let _guard = tracker.as_ref().map(|t| t.track_task());
|
||||
let mut stream = exec
|
||||
.execute(partition, ctx)
|
||||
.map_err(|e| -> Error { e.into() })?;
|
||||
|
||||
@@ -13,9 +13,6 @@ use crate::embeddings::EmbeddingRegistry;
|
||||
use crate::table::datafusion::cast::cast_to_table_schema;
|
||||
use crate::table::datafusion::reject_nan::reject_nan_vectors;
|
||||
use crate::table::datafusion::scannable_exec::ScannableExec;
|
||||
use crate::table::write_progress::ProgressCallback;
|
||||
use crate::table::write_progress::WriteProgress;
|
||||
use crate::table::write_progress::WriteProgressTracker;
|
||||
use crate::{Error, Result};
|
||||
|
||||
use super::{BaseTable, TableDefinition, WriteOptions};
|
||||
@@ -55,8 +52,6 @@ pub struct AddDataBuilder {
|
||||
pub(crate) write_options: WriteOptions,
|
||||
pub(crate) on_nan_vectors: NaNVectorBehavior,
|
||||
pub(crate) embedding_registry: Option<Arc<dyn EmbeddingRegistry>>,
|
||||
pub(crate) progress_callback: Option<ProgressCallback>,
|
||||
pub(crate) write_parallelism: Option<usize>,
|
||||
}
|
||||
|
||||
impl std::fmt::Debug for AddDataBuilder {
|
||||
@@ -82,8 +77,6 @@ impl AddDataBuilder {
|
||||
write_options: WriteOptions::default(),
|
||||
on_nan_vectors: NaNVectorBehavior::default(),
|
||||
embedding_registry,
|
||||
progress_callback: None,
|
||||
write_parallelism: None,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -108,43 +101,7 @@ impl AddDataBuilder {
|
||||
self
|
||||
}
|
||||
|
||||
/// Set a callback to receive progress updates during the add operation.
|
||||
///
|
||||
/// The callback is invoked once per batch written, and once more with
|
||||
/// [`WriteProgress::done`] set to `true` when the write completes.
|
||||
///
|
||||
/// ```
|
||||
/// # use lancedb::Table;
|
||||
/// # async fn example(table: &Table) -> Result<(), Box<dyn std::error::Error>> {
|
||||
/// let batch = arrow_array::record_batch!(("id", Int32, [1, 2, 3])).unwrap();
|
||||
/// table.add(batch)
|
||||
/// .progress(|p| println!("{}/{:?} rows", p.output_rows(), p.total_rows()))
|
||||
/// .execute()
|
||||
/// .await?;
|
||||
/// # Ok(())
|
||||
/// # }
|
||||
/// ```
|
||||
pub fn progress(mut self, callback: impl FnMut(&WriteProgress) + Send + 'static) -> Self {
|
||||
self.progress_callback = Some(Arc::new(std::sync::Mutex::new(callback)));
|
||||
self
|
||||
}
|
||||
|
||||
/// Set the number of parallel write streams.
|
||||
///
|
||||
/// By default, the number of streams is estimated from the data size.
|
||||
/// Setting this to `1` disables parallel writes.
|
||||
pub fn write_parallelism(mut self, parallelism: usize) -> Self {
|
||||
self.write_parallelism = Some(parallelism);
|
||||
self
|
||||
}
|
||||
|
||||
pub async fn execute(self) -> Result<AddResult> {
|
||||
if self.write_parallelism.map(|p| p == 0).unwrap_or(false) {
|
||||
return Err(Error::InvalidInput {
|
||||
message: "write_parallelism must be greater than 0".to_string(),
|
||||
});
|
||||
}
|
||||
|
||||
self.parent.clone().add(self).await
|
||||
}
|
||||
|
||||
@@ -173,11 +130,8 @@ impl AddDataBuilder {
|
||||
scannable_with_embeddings(self.data, table_def, self.embedding_registry.as_ref())?;
|
||||
|
||||
let rescannable = self.data.rescannable();
|
||||
let tracker = self
|
||||
.progress_callback
|
||||
.map(|cb| Arc::new(WriteProgressTracker::new(cb, self.data.num_rows())));
|
||||
let plan: Arc<dyn datafusion_physical_plan::ExecutionPlan> =
|
||||
Arc::new(ScannableExec::new(self.data, tracker.clone()));
|
||||
Arc::new(ScannableExec::new(self.data));
|
||||
// Skip casting when overwriting — the input schema replaces the table schema.
|
||||
let plan = if overwrite {
|
||||
plan
|
||||
@@ -195,7 +149,6 @@ impl AddDataBuilder {
|
||||
rescannable,
|
||||
write_options: self.write_options,
|
||||
mode: self.mode,
|
||||
tracker,
|
||||
})
|
||||
}
|
||||
}
|
||||
@@ -208,7 +161,6 @@ pub struct PreprocessingOutput {
|
||||
pub rescannable: bool,
|
||||
pub write_options: WriteOptions,
|
||||
pub mode: AddDataMode,
|
||||
pub tracker: Option<Arc<WriteProgressTracker>>,
|
||||
}
|
||||
|
||||
/// Check that the input schema is valid for insert.
|
||||
|
||||
@@ -12,16 +12,13 @@ use datafusion_common::{DataFusionError, Result as DataFusionResult};
|
||||
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
|
||||
use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
|
||||
use datafusion_physical_plan::execution_plan::{Boundedness, EmissionType};
|
||||
use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricBuilder, MetricsSet};
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use datafusion_physical_plan::{
|
||||
DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
|
||||
};
|
||||
use futures::TryStreamExt;
|
||||
use lance::Dataset;
|
||||
use lance::dataset::transaction::{Operation, Transaction};
|
||||
use lance::dataset::{CommitBuilder, InsertBuilder, WriteParams};
|
||||
use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;
|
||||
use lance_table::format::Fragment;
|
||||
|
||||
use crate::table::dataset::DatasetConsistencyWrapper;
|
||||
@@ -83,7 +80,6 @@ pub struct InsertExec {
|
||||
write_params: WriteParams,
|
||||
properties: PlanProperties,
|
||||
partial_transactions: Arc<Mutex<Vec<Transaction>>>,
|
||||
metrics: ExecutionPlanMetricsSet,
|
||||
}
|
||||
|
||||
impl InsertExec {
|
||||
@@ -109,7 +105,6 @@ impl InsertExec {
|
||||
write_params,
|
||||
properties,
|
||||
partial_transactions: Arc::new(Mutex::new(Vec::with_capacity(num_partitions))),
|
||||
metrics: ExecutionPlanMetricsSet::new(),
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -181,19 +176,6 @@ impl ExecutionPlan for InsertExec {
|
||||
let total_partitions = self.input.output_partitioning().partition_count();
|
||||
let ds_wrapper = self.ds_wrapper.clone();
|
||||
|
||||
let output_bytes = MetricBuilder::new(&self.metrics).output_bytes(partition);
|
||||
let input_schema = input_stream.schema();
|
||||
let input_stream: SendableRecordBatchStream =
|
||||
Box::pin(InstrumentedRecordBatchStreamAdapter::new(
|
||||
input_schema,
|
||||
input_stream.map_ok(move |batch| {
|
||||
output_bytes.add(batch.get_array_memory_size());
|
||||
batch
|
||||
}),
|
||||
partition,
|
||||
&self.metrics,
|
||||
));
|
||||
|
||||
let stream = futures::stream::once(async move {
|
||||
let transaction = InsertBuilder::new(dataset.clone())
|
||||
.with_params(&write_params)
|
||||
@@ -204,9 +186,7 @@ impl ExecutionPlan for InsertExec {
|
||||
|
||||
let to_commit = {
|
||||
// Don't hold the lock over an await point.
|
||||
let mut txns = partial_transactions
|
||||
.lock()
|
||||
.unwrap_or_else(|e| e.into_inner());
|
||||
let mut txns = partial_transactions.lock().unwrap();
|
||||
txns.push(transaction);
|
||||
if txns.len() == total_partitions {
|
||||
Some(std::mem::take(&mut *txns))
|
||||
@@ -235,10 +215,6 @@ impl ExecutionPlan for InsertExec {
|
||||
stream,
|
||||
)))
|
||||
}
|
||||
|
||||
fn metrics(&self) -> Option<MetricsSet> {
|
||||
Some(self.metrics.clone_inner())
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
|
||||
@@ -7,21 +7,17 @@ use std::sync::{Arc, Mutex};
|
||||
use datafusion_common::{DataFusionError, Result as DFResult, Statistics, stats::Precision};
|
||||
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
|
||||
use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
|
||||
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
|
||||
use datafusion_physical_plan::{
|
||||
DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties, execution_plan::EmissionType,
|
||||
};
|
||||
use futures::TryStreamExt;
|
||||
|
||||
use crate::table::write_progress::WriteProgressTracker;
|
||||
use crate::{arrow::SendableRecordBatchStreamExt, data::scannable::Scannable};
|
||||
|
||||
pub(crate) struct ScannableExec {
|
||||
// We don't require Scannable to be Sync, so we wrap it in a Mutex to allow safe concurrent access.
|
||||
pub struct ScannableExec {
|
||||
// We don't require Scannable to by Sync, so we wrap it in a Mutex to allow safe concurrent access.
|
||||
source: Mutex<Box<dyn Scannable>>,
|
||||
num_rows: Option<usize>,
|
||||
properties: PlanProperties,
|
||||
tracker: Option<Arc<WriteProgressTracker>>,
|
||||
}
|
||||
|
||||
impl std::fmt::Debug for ScannableExec {
|
||||
@@ -34,7 +30,7 @@ impl std::fmt::Debug for ScannableExec {
|
||||
}
|
||||
|
||||
impl ScannableExec {
|
||||
pub fn new(source: Box<dyn Scannable>, tracker: Option<Arc<WriteProgressTracker>>) -> Self {
|
||||
pub fn new(source: Box<dyn Scannable>) -> Self {
|
||||
let schema = source.schema();
|
||||
let eq_properties = EquivalenceProperties::new(schema);
|
||||
let properties = PlanProperties::new(
|
||||
@@ -50,7 +46,6 @@ impl ScannableExec {
|
||||
source,
|
||||
num_rows,
|
||||
properties,
|
||||
tracker,
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -107,18 +102,7 @@ impl ExecutionPlan for ScannableExec {
|
||||
Err(poison) => poison.into_inner().scan_as_stream(),
|
||||
};
|
||||
|
||||
let tracker = self.tracker.clone();
|
||||
let stream = stream.into_df_stream().map_ok(move |batch| {
|
||||
if let Some(ref t) = tracker {
|
||||
t.record_batch(batch.num_rows(), batch.get_array_memory_size());
|
||||
}
|
||||
batch
|
||||
});
|
||||
|
||||
Ok(Box::pin(RecordBatchStreamAdapter::new(
|
||||
self.schema(),
|
||||
stream,
|
||||
)))
|
||||
Ok(stream.into_df_stream())
|
||||
}
|
||||
|
||||
fn partition_statistics(&self, _partition: Option<usize>) -> DFResult<Statistics> {
|
||||
|
||||
@@ -82,7 +82,7 @@ impl DatasetConsistencyWrapper {
|
||||
/// pinned dataset regardless of consistency mode.
|
||||
pub async fn get(&self) -> Result<Arc<Dataset>> {
|
||||
{
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
if state.pinned_version.is_some() {
|
||||
return Ok(state.dataset.clone());
|
||||
}
|
||||
@@ -101,7 +101,7 @@ impl DatasetConsistencyWrapper {
|
||||
}
|
||||
ConsistencyMode::Strong => refresh_latest(self.state.clone()).await,
|
||||
ConsistencyMode::Lazy => {
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
Ok(state.dataset.clone())
|
||||
}
|
||||
}
|
||||
@@ -116,7 +116,7 @@ impl DatasetConsistencyWrapper {
|
||||
/// concurrent [`as_time_travel`](Self::as_time_travel) call), the update
|
||||
/// is silently ignored — the write already committed to storage.
|
||||
pub fn update(&self, dataset: Dataset) {
|
||||
let mut state = self.state.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut state = self.state.lock().unwrap();
|
||||
if state.pinned_version.is_some() {
|
||||
// A concurrent as_time_travel() beat us here. The write succeeded
|
||||
// in storage, but since we're now pinned we don't advance the
|
||||
@@ -139,7 +139,7 @@ impl DatasetConsistencyWrapper {
|
||||
|
||||
/// Check that the dataset is in a mutable mode (Latest).
|
||||
pub fn ensure_mutable(&self) -> Result<()> {
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
if state.pinned_version.is_some() {
|
||||
Err(crate::Error::InvalidInput {
|
||||
message: "table cannot be modified when a specific version is checked out"
|
||||
@@ -152,16 +152,13 @@ impl DatasetConsistencyWrapper {
|
||||
|
||||
/// Returns the version, if in time travel mode, or None otherwise.
|
||||
pub fn time_travel_version(&self) -> Option<u64> {
|
||||
self.state
|
||||
.lock()
|
||||
.unwrap_or_else(|e| e.into_inner())
|
||||
.pinned_version
|
||||
self.state.lock().unwrap().pinned_version
|
||||
}
|
||||
|
||||
/// Convert into a wrapper in latest version mode.
|
||||
pub async fn as_latest(&self) -> Result<()> {
|
||||
let dataset = {
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
if state.pinned_version.is_none() {
|
||||
return Ok(());
|
||||
}
|
||||
@@ -171,7 +168,7 @@ impl DatasetConsistencyWrapper {
|
||||
let latest_version = dataset.latest_version_id().await?;
|
||||
let new_dataset = dataset.checkout_version(latest_version).await?;
|
||||
|
||||
let mut state = self.state.lock()?;
|
||||
let mut state = self.state.lock().unwrap();
|
||||
if state.pinned_version.is_some() {
|
||||
state.dataset = Arc::new(new_dataset);
|
||||
state.pinned_version = None;
|
||||
@@ -187,7 +184,7 @@ impl DatasetConsistencyWrapper {
|
||||
let target_ref = target_version.into();
|
||||
|
||||
let (should_checkout, dataset) = {
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
let should = match state.pinned_version {
|
||||
None => true,
|
||||
Some(version) => match &target_ref {
|
||||
@@ -207,7 +204,7 @@ impl DatasetConsistencyWrapper {
|
||||
let new_dataset = dataset.checkout_version(target_ref).await?;
|
||||
let version_value = new_dataset.version().version;
|
||||
|
||||
let mut state = self.state.lock()?;
|
||||
let mut state = self.state.lock().unwrap();
|
||||
state.dataset = Arc::new(new_dataset);
|
||||
state.pinned_version = Some(version_value);
|
||||
Ok(())
|
||||
@@ -215,7 +212,7 @@ impl DatasetConsistencyWrapper {
|
||||
|
||||
pub async fn reload(&self) -> Result<()> {
|
||||
let (dataset, pinned_version) = {
|
||||
let state = self.state.lock()?;
|
||||
let state = self.state.lock().unwrap();
|
||||
(state.dataset.clone(), state.pinned_version)
|
||||
};
|
||||
|
||||
@@ -233,7 +230,7 @@ impl DatasetConsistencyWrapper {
|
||||
|
||||
let new_dataset = dataset.checkout_version(version).await?;
|
||||
|
||||
let mut state = self.state.lock()?;
|
||||
let mut state = self.state.lock().unwrap();
|
||||
if state.pinned_version == Some(version) {
|
||||
state.dataset = Arc::new(new_dataset);
|
||||
}
|
||||
@@ -245,14 +242,14 @@ impl DatasetConsistencyWrapper {
|
||||
}
|
||||
|
||||
async fn refresh_latest(state: Arc<Mutex<DatasetState>>) -> Result<Arc<Dataset>> {
|
||||
let dataset = { state.lock()?.dataset.clone() };
|
||||
let dataset = { state.lock().unwrap().dataset.clone() };
|
||||
|
||||
let mut ds = (*dataset).clone();
|
||||
ds.checkout_latest().await?;
|
||||
let new_arc = Arc::new(ds);
|
||||
|
||||
{
|
||||
let mut state = state.lock()?;
|
||||
let mut state = state.lock().unwrap();
|
||||
if state.pinned_version.is_none()
|
||||
&& new_arc.manifest().version >= state.dataset.manifest().version
|
||||
{
|
||||
@@ -615,108 +612,4 @@ mod tests {
|
||||
let s = io_stats.incremental_stats();
|
||||
assert_eq!(s.read_iops, 0, "step 5, elapsed={:?}", start.elapsed());
|
||||
}
|
||||
|
||||
/// Helper: poison the mutex inside a DatasetConsistencyWrapper.
|
||||
fn poison_state(wrapper: &DatasetConsistencyWrapper) {
|
||||
let state = wrapper.state.clone();
|
||||
let handle = std::thread::spawn(move || {
|
||||
let _guard = state.lock().unwrap();
|
||||
panic!("intentional panic to poison mutex");
|
||||
});
|
||||
let _ = handle.join(); // join collects the panic
|
||||
assert!(wrapper.state.lock().is_err(), "mutex should be poisoned");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_get_returns_error_on_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
// get() should return Err, not panic
|
||||
let result = wrapper.get().await;
|
||||
assert!(result.is_err());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_ensure_mutable_returns_error_on_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
let result = wrapper.ensure_mutable();
|
||||
assert!(result.is_err());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_update_recovers_from_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
let ds_v2 = append_to_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
// update() returns (), should not panic
|
||||
wrapper.update(ds_v2);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_time_travel_version_recovers_from_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
// Should not panic, returns whatever was in the mutex
|
||||
let _version = wrapper.time_travel_version();
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_as_latest_returns_error_on_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
let result = wrapper.as_latest().await;
|
||||
assert!(result.is_err());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_as_time_travel_returns_error_on_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
let result = wrapper.as_time_travel(1u64).await;
|
||||
assert!(result.is_err());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_reload_returns_error_on_poisoned_lock() {
|
||||
let dir = tempfile::tempdir().unwrap();
|
||||
let uri = dir.path().to_str().unwrap();
|
||||
let ds = create_test_dataset(uri).await;
|
||||
|
||||
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
|
||||
poison_state(&wrapper);
|
||||
|
||||
let result = wrapper.reload().await;
|
||||
assert!(result.is_err());
|
||||
}
|
||||
}
|
||||
|
||||
@@ -9,7 +9,7 @@ use crate::expr::expr_to_sql_string;
|
||||
use crate::query::{
|
||||
DEFAULT_TOP_K, QueryExecutionOptions, QueryFilter, QueryRequest, Select, VectorQueryRequest,
|
||||
};
|
||||
use crate::utils::{MaxBatchLengthStream, TimeoutStream, default_vector_column};
|
||||
use crate::utils::{TimeoutStream, default_vector_column};
|
||||
use arrow::array::{AsArray, FixedSizeListBuilder, Float32Builder};
|
||||
use arrow::datatypes::{Float32Type, UInt8Type};
|
||||
use arrow_array::Array;
|
||||
@@ -66,7 +66,6 @@ async fn execute_generic_query(
|
||||
) -> Result<DatasetRecordBatchStream> {
|
||||
let plan = create_plan(table, query, options.clone()).await?;
|
||||
let inner = execute_plan(plan, Default::default())?;
|
||||
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
|
||||
let inner = if let Some(timeout) = options.timeout {
|
||||
TimeoutStream::new_boxed(inner, timeout)
|
||||
} else {
|
||||
@@ -201,9 +200,7 @@ pub async fn create_plan(
|
||||
scanner.with_row_id();
|
||||
}
|
||||
|
||||
if options.max_batch_length > 0 {
|
||||
scanner.batch_size(options.max_batch_length as usize);
|
||||
}
|
||||
scanner.batch_size(options.max_batch_length as usize);
|
||||
|
||||
if query.base.fast_search {
|
||||
scanner.fast_search();
|
||||
|
||||
@@ -1,431 +0,0 @@
|
||||
// SPDX-License-Identifier: Apache-2.0
|
||||
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
|
||||
|
||||
//! Progress monitoring for write operations.
|
||||
//!
|
||||
//! You can add a callback to process progress in [`crate::table::AddDataBuilder::progress`].
|
||||
//! [`WriteProgress`] is the struct passed to the callback.
|
||||
|
||||
use std::sync::atomic::{AtomicUsize, Ordering};
|
||||
use std::sync::{Arc, Mutex};
|
||||
use std::time::{Duration, Instant};
|
||||
|
||||
/// Progress snapshot for a write operation.
|
||||
#[derive(Debug, Clone)]
|
||||
pub struct WriteProgress {
|
||||
// These are private and only accessible via getters, to make it easy to add
|
||||
// new fields without breaking existing callbacks.
|
||||
elapsed: Duration,
|
||||
output_rows: usize,
|
||||
output_bytes: usize,
|
||||
total_rows: Option<usize>,
|
||||
active_tasks: usize,
|
||||
total_tasks: usize,
|
||||
done: bool,
|
||||
}
|
||||
|
||||
impl WriteProgress {
|
||||
/// Wall-clock time since monitoring started.
|
||||
pub fn elapsed(&self) -> Duration {
|
||||
self.elapsed
|
||||
}
|
||||
|
||||
/// Number of rows written so far.
|
||||
pub fn output_rows(&self) -> usize {
|
||||
self.output_rows
|
||||
}
|
||||
|
||||
/// Number of bytes written so far.
|
||||
pub fn output_bytes(&self) -> usize {
|
||||
self.output_bytes
|
||||
}
|
||||
|
||||
/// Total rows expected.
|
||||
///
|
||||
/// Populated when the input source reports a row count (e.g. a
|
||||
/// [`arrow_array::RecordBatch`]). Always `Some` when [`WriteProgress::done`]
|
||||
/// is `true` — falling back to the actual number of rows written.
|
||||
pub fn total_rows(&self) -> Option<usize> {
|
||||
self.total_rows
|
||||
}
|
||||
|
||||
/// Number of parallel write tasks currently in flight.
|
||||
pub fn active_tasks(&self) -> usize {
|
||||
self.active_tasks
|
||||
}
|
||||
|
||||
/// Total number of parallel write tasks (i.e. the write parallelism).
|
||||
pub fn total_tasks(&self) -> usize {
|
||||
self.total_tasks
|
||||
}
|
||||
|
||||
/// Whether the write operation has completed.
|
||||
///
|
||||
/// The final callback always has `done = true`. Callers can use this to
|
||||
/// finalize progress bars or perform cleanup.
|
||||
pub fn done(&self) -> bool {
|
||||
self.done
|
||||
}
|
||||
}
|
||||
|
||||
/// Callback type for progress updates.
|
||||
///
|
||||
/// Callbacks are serialized by the tracker and are never invoked reentrantly,
|
||||
/// so `FnMut` is safe to use here.
|
||||
pub type ProgressCallback = Arc<Mutex<dyn FnMut(&WriteProgress) + Send>>;
|
||||
|
||||
/// Tracks progress of a write operation and invokes a [`ProgressCallback`].
|
||||
///
|
||||
/// Call [`WriteProgressTracker::record_batch`] for each batch written.
|
||||
/// Call [`WriteProgressTracker::finish`] once after all data is written.
|
||||
///
|
||||
/// The callback is never invoked reentrantly: all state updates and callback
|
||||
/// invocations are serialized behind a single lock.
|
||||
impl std::fmt::Debug for WriteProgressTracker {
|
||||
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
|
||||
f.debug_struct("WriteProgressTracker")
|
||||
.field("total_rows", &self.total_rows)
|
||||
.finish()
|
||||
}
|
||||
}
|
||||
|
||||
pub(crate) struct WriteProgressTracker {
|
||||
rows_and_bytes: std::sync::Mutex<(usize, usize)>,
|
||||
/// Wire bytes tracked separately by the insert layer. When set (> 0),
|
||||
/// this takes precedence over the in-memory bytes from `rows_and_bytes`.
|
||||
wire_bytes: AtomicUsize,
|
||||
active_tasks: Arc<AtomicUsize>,
|
||||
total_tasks: AtomicUsize,
|
||||
start: Instant,
|
||||
/// Known total rows from the input source, if available.
|
||||
total_rows: Option<usize>,
|
||||
callback: ProgressCallback,
|
||||
}
|
||||
|
||||
impl WriteProgressTracker {
|
||||
pub fn new(callback: ProgressCallback, total_rows: Option<usize>) -> Self {
|
||||
Self {
|
||||
rows_and_bytes: std::sync::Mutex::new((0, 0)),
|
||||
wire_bytes: AtomicUsize::new(0),
|
||||
active_tasks: Arc::new(AtomicUsize::new(0)),
|
||||
total_tasks: AtomicUsize::new(1),
|
||||
start: Instant::now(),
|
||||
total_rows,
|
||||
callback,
|
||||
}
|
||||
}
|
||||
|
||||
/// Set the total number of parallel write tasks (the write parallelism).
|
||||
pub fn set_total_tasks(&self, n: usize) {
|
||||
self.total_tasks.store(n, Ordering::Relaxed);
|
||||
}
|
||||
|
||||
/// Increment the active task count. Returns a guard that decrements on drop.
|
||||
pub fn track_task(&self) -> ActiveTaskGuard {
|
||||
self.active_tasks.fetch_add(1, Ordering::Relaxed);
|
||||
ActiveTaskGuard(self.active_tasks.clone())
|
||||
}
|
||||
|
||||
/// Record a batch of rows passing through the scan node.
|
||||
pub fn record_batch(&self, rows: usize, bytes: usize) {
|
||||
// Lock order: callback first, then rows_and_bytes. This is the only
|
||||
// order used anywhere, so deadlocks cannot occur.
|
||||
let mut cb = self.callback.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut guard = self
|
||||
.rows_and_bytes
|
||||
.lock()
|
||||
.unwrap_or_else(|e| e.into_inner());
|
||||
guard.0 += rows;
|
||||
guard.1 += bytes;
|
||||
let progress = self.snapshot(guard.0, guard.1, false);
|
||||
drop(guard);
|
||||
cb(&progress);
|
||||
}
|
||||
|
||||
/// Record wire bytes from the insert layer (e.g. IPC-encoded bytes for
|
||||
/// remote writes). When wire bytes are recorded, they take precedence over
|
||||
/// the in-memory Arrow bytes tracked by [`record_batch`].
|
||||
pub fn record_bytes(&self, bytes: usize) {
|
||||
self.wire_bytes.fetch_add(bytes, Ordering::Relaxed);
|
||||
}
|
||||
|
||||
/// Emit the final progress callback indicating the write is complete.
|
||||
///
|
||||
/// `total_rows` is always `Some` on the final callback: it uses the known
|
||||
/// total if available, or falls back to the number of rows actually written.
|
||||
pub fn finish(&self) {
|
||||
let mut cb = self.callback.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let guard = self
|
||||
.rows_and_bytes
|
||||
.lock()
|
||||
.unwrap_or_else(|e| e.into_inner());
|
||||
let mut snap = self.snapshot(guard.0, guard.1, true);
|
||||
snap.total_rows = Some(self.total_rows.unwrap_or(guard.0));
|
||||
drop(guard);
|
||||
cb(&snap);
|
||||
}
|
||||
|
||||
fn snapshot(&self, rows: usize, in_memory_bytes: usize, done: bool) -> WriteProgress {
|
||||
let wire = self.wire_bytes.load(Ordering::Relaxed);
|
||||
// Prefer wire bytes (actual I/O size) when the insert layer is
|
||||
// tracking them; fall back to in-memory Arrow size otherwise.
|
||||
// TODO: for local writes, track actual bytes written by Lance
|
||||
// instead of using in-memory Arrow size as a proxy.
|
||||
let output_bytes = if wire > 0 { wire } else { in_memory_bytes };
|
||||
WriteProgress {
|
||||
elapsed: self.start.elapsed(),
|
||||
output_rows: rows,
|
||||
output_bytes,
|
||||
total_rows: self.total_rows,
|
||||
active_tasks: self.active_tasks.load(Ordering::Relaxed),
|
||||
total_tasks: self.total_tasks.load(Ordering::Relaxed),
|
||||
done,
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/// RAII guard that decrements the active task count when dropped.
|
||||
pub(crate) struct ActiveTaskGuard(Arc<AtomicUsize>);
|
||||
|
||||
impl Drop for ActiveTaskGuard {
|
||||
fn drop(&mut self) {
|
||||
self.0.fetch_sub(1, Ordering::Relaxed);
|
||||
}
|
||||
}
|
||||
|
||||
/// RAII guard that calls [`WriteProgressTracker::finish`] on drop.
|
||||
///
|
||||
/// This ensures the final `done=true` callback fires even if the write
|
||||
/// errors or the future is cancelled.
|
||||
pub(crate) struct FinishOnDrop(pub Option<Arc<WriteProgressTracker>>);
|
||||
|
||||
impl Drop for FinishOnDrop {
|
||||
fn drop(&mut self) {
|
||||
if let Some(t) = self.0.take() {
|
||||
t.finish();
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use std::sync::Arc;
|
||||
use std::sync::atomic::{AtomicUsize, Ordering};
|
||||
|
||||
use arrow_array::record_batch;
|
||||
|
||||
use crate::connect;
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_progress_monitor_fires_callback() {
|
||||
let db = connect("memory://").execute().await.unwrap();
|
||||
|
||||
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
|
||||
let table = db
|
||||
.create_table("progress_test", batch)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let callback_count = Arc::new(AtomicUsize::new(0));
|
||||
let last_rows = Arc::new(AtomicUsize::new(0));
|
||||
let max_active = Arc::new(AtomicUsize::new(0));
|
||||
let last_total_tasks = Arc::new(AtomicUsize::new(0));
|
||||
let cb_count = callback_count.clone();
|
||||
let cb_rows = last_rows.clone();
|
||||
let cb_active = max_active.clone();
|
||||
let cb_total_tasks = last_total_tasks.clone();
|
||||
|
||||
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
|
||||
table
|
||||
.add(new_data)
|
||||
.progress(move |p| {
|
||||
cb_count.fetch_add(1, Ordering::SeqCst);
|
||||
cb_rows.store(p.output_rows(), Ordering::SeqCst);
|
||||
cb_active.fetch_max(p.active_tasks(), Ordering::SeqCst);
|
||||
cb_total_tasks.store(p.total_tasks(), Ordering::SeqCst);
|
||||
})
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
assert_eq!(table.count_rows(None).await.unwrap(), 6);
|
||||
assert!(callback_count.load(Ordering::SeqCst) >= 1);
|
||||
// Progress tracks the newly inserted rows, not the total table size.
|
||||
assert_eq!(last_rows.load(Ordering::SeqCst), 3);
|
||||
// At least one callback should have seen an active task.
|
||||
assert!(max_active.load(Ordering::SeqCst) >= 1);
|
||||
// total_tasks should reflect the write parallelism.
|
||||
assert!(last_total_tasks.load(Ordering::SeqCst) >= 1);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_progress_done_fires_at_end() {
|
||||
let db = connect("memory://").execute().await.unwrap();
|
||||
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
|
||||
let table = db
|
||||
.create_table("progress_done", batch)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let seen_done = Arc::new(std::sync::Mutex::new(Vec::<bool>::new()));
|
||||
let seen = seen_done.clone();
|
||||
|
||||
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
|
||||
table
|
||||
.add(new_data)
|
||||
.progress(move |p| {
|
||||
seen.lock().unwrap().push(p.done());
|
||||
})
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let done_flags = seen_done.lock().unwrap();
|
||||
assert!(!done_flags.is_empty(), "at least one callback must fire");
|
||||
// Only the last callback should have done=true.
|
||||
let last = *done_flags.last().unwrap();
|
||||
assert!(last, "last callback must have done=true");
|
||||
// All earlier callbacks should have done=false.
|
||||
for &d in done_flags.iter().rev().skip(1) {
|
||||
assert!(!d, "non-final callbacks must have done=false");
|
||||
}
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_progress_total_rows_known() {
|
||||
let db = connect("memory://").execute().await.unwrap();
|
||||
|
||||
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
|
||||
let table = db
|
||||
.create_table("total_known", batch)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
|
||||
let seen = seen_total.clone();
|
||||
|
||||
// RecordBatch implements Scannable with num_rows() -> Some(3)
|
||||
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
|
||||
table
|
||||
.add(new_data)
|
||||
.progress(move |p| {
|
||||
seen.lock().unwrap().push(p.total_rows());
|
||||
})
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let totals = seen_total.lock().unwrap();
|
||||
// All callbacks (including done) should have total_rows = Some(3)
|
||||
assert!(
|
||||
totals.contains(&Some(3)),
|
||||
"expected total_rows=Some(3) in at least one callback, got: {:?}",
|
||||
*totals
|
||||
);
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_progress_total_rows_unknown() {
|
||||
use arrow_array::RecordBatchIterator;
|
||||
|
||||
let db = connect("memory://").execute().await.unwrap();
|
||||
|
||||
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
|
||||
let table = db
|
||||
.create_table("total_unknown", batch)
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
|
||||
let seen = seen_total.clone();
|
||||
|
||||
// RecordBatchReader does not provide num_rows, so total_rows should be
|
||||
// None in intermediate callbacks but always Some on the done callback.
|
||||
let schema = arrow_schema::Schema::new(vec![arrow_schema::Field::new(
|
||||
"id",
|
||||
arrow_schema::DataType::Int32,
|
||||
false,
|
||||
)]);
|
||||
let new_data: Box<dyn arrow_array::RecordBatchReader + Send> =
|
||||
Box::new(RecordBatchIterator::new(
|
||||
vec![Ok(record_batch!(("id", Int32, [4, 5, 6])).unwrap())],
|
||||
Arc::new(schema),
|
||||
));
|
||||
table
|
||||
.add(new_data)
|
||||
.progress(move |p| {
|
||||
seen.lock().unwrap().push((p.total_rows(), p.done()));
|
||||
})
|
||||
.execute()
|
||||
.await
|
||||
.unwrap();
|
||||
|
||||
let entries = seen_total.lock().unwrap();
|
||||
assert!(!entries.is_empty(), "at least one callback must fire");
|
||||
for (total, done) in entries.iter() {
|
||||
if *done {
|
||||
assert!(
|
||||
total.is_some(),
|
||||
"done callback must have total_rows set, got: {:?}",
|
||||
total
|
||||
);
|
||||
} else {
|
||||
assert_eq!(
|
||||
*total, None,
|
||||
"intermediate callback must have total_rows=None, got: {:?}",
|
||||
total
|
||||
);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_record_batch_recovers_from_poisoned_callback_lock() {
|
||||
use super::{ProgressCallback, WriteProgressTracker};
|
||||
use std::sync::Mutex;
|
||||
|
||||
let callback: ProgressCallback = Arc::new(Mutex::new(|_: &super::WriteProgress| {}));
|
||||
|
||||
// Poison the callback mutex
|
||||
let cb_clone = callback.clone();
|
||||
let handle = std::thread::spawn(move || {
|
||||
let _guard = cb_clone.lock().unwrap();
|
||||
panic!("intentional panic to poison callback mutex");
|
||||
});
|
||||
let _ = handle.join();
|
||||
assert!(
|
||||
callback.lock().is_err(),
|
||||
"callback mutex should be poisoned"
|
||||
);
|
||||
|
||||
let tracker = WriteProgressTracker::new(callback, Some(100));
|
||||
|
||||
// record_batch should not panic
|
||||
tracker.record_batch(10, 1024);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_finish_recovers_from_poisoned_callback_lock() {
|
||||
use super::{ProgressCallback, WriteProgressTracker};
|
||||
use std::sync::Mutex;
|
||||
|
||||
let callback: ProgressCallback = Arc::new(Mutex::new(|_: &super::WriteProgress| {}));
|
||||
|
||||
// Poison the callback mutex
|
||||
let cb_clone = callback.clone();
|
||||
let handle = std::thread::spawn(move || {
|
||||
let _guard = cb_clone.lock().unwrap();
|
||||
panic!("intentional panic to poison callback mutex");
|
||||
});
|
||||
let _ = handle.join();
|
||||
|
||||
let tracker = WriteProgressTracker::new(callback, Some(100));
|
||||
|
||||
// finish should not panic
|
||||
tracker.finish();
|
||||
}
|
||||
}
|
||||
@@ -122,7 +122,7 @@ where
|
||||
/// This is a cheap synchronous check useful as a fast path before
|
||||
/// constructing a fetch closure for [`get()`](Self::get).
|
||||
pub fn try_get(&self) -> Option<V> {
|
||||
let cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let cache = self.inner.lock().unwrap();
|
||||
cache.state.fresh_value(self.ttl, self.refresh_window)
|
||||
}
|
||||
|
||||
@@ -138,7 +138,7 @@ where
|
||||
{
|
||||
// Fast path: check if cache is fresh
|
||||
{
|
||||
let cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let cache = self.inner.lock().unwrap();
|
||||
if let Some(value) = cache.state.fresh_value(self.ttl, self.refresh_window) {
|
||||
return Ok(value);
|
||||
}
|
||||
@@ -147,7 +147,7 @@ where
|
||||
// Slow path
|
||||
let mut fetch = Some(fetch);
|
||||
let action = {
|
||||
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut cache = self.inner.lock().unwrap();
|
||||
self.determine_action(&mut cache, &mut fetch)
|
||||
};
|
||||
|
||||
@@ -161,7 +161,7 @@ where
|
||||
///
|
||||
/// This avoids a blocking fetch on the first [`get()`](Self::get) call.
|
||||
pub fn seed(&self, value: V) {
|
||||
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut cache = self.inner.lock().unwrap();
|
||||
cache.state = State::Current(value, clock::now());
|
||||
}
|
||||
|
||||
@@ -170,7 +170,7 @@ where
|
||||
/// Any in-flight background fetch from before this call will not update the
|
||||
/// cache (the generation counter prevents stale writes).
|
||||
pub fn invalidate(&self) {
|
||||
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut cache = self.inner.lock().unwrap();
|
||||
cache.state = State::Empty;
|
||||
cache.generation += 1;
|
||||
}
|
||||
@@ -267,7 +267,7 @@ where
|
||||
let fut_for_spawn = shared.clone();
|
||||
tokio::spawn(async move {
|
||||
let result = fut_for_spawn.await;
|
||||
let mut cache = inner.lock().unwrap_or_else(|e| e.into_inner());
|
||||
let mut cache = inner.lock().unwrap();
|
||||
// Only update if no invalidation has happened since we started
|
||||
if cache.generation != generation {
|
||||
return;
|
||||
@@ -590,67 +590,4 @@ mod tests {
|
||||
let v = cache.get(ok_fetcher(count.clone(), "fresh")).await.unwrap();
|
||||
assert_eq!(v, "fresh");
|
||||
}
|
||||
|
||||
/// Helper: poison the inner mutex of a BackgroundCache.
|
||||
fn poison_cache(cache: &BackgroundCache<String, TestError>) {
|
||||
let inner = cache.inner.clone();
|
||||
let handle = std::thread::spawn(move || {
|
||||
let _guard = inner.lock().unwrap();
|
||||
panic!("intentional panic to poison mutex");
|
||||
});
|
||||
let _ = handle.join();
|
||||
assert!(cache.inner.lock().is_err(), "mutex should be poisoned");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_try_get_recovers_from_poisoned_lock() {
|
||||
let cache = new_cache();
|
||||
let count = Arc::new(AtomicUsize::new(0));
|
||||
|
||||
// Seed a value first
|
||||
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap();
|
||||
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap(); // peek
|
||||
|
||||
poison_cache(&cache);
|
||||
|
||||
// try_get() should not panic — it recovers via unwrap_or_else
|
||||
let result = cache.try_get();
|
||||
// The value may or may not be fresh depending on timing, but it must not panic
|
||||
let _ = result;
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_get_recovers_from_poisoned_lock() {
|
||||
let cache = new_cache();
|
||||
let count = Arc::new(AtomicUsize::new(0));
|
||||
|
||||
poison_cache(&cache);
|
||||
|
||||
// get() should not panic — it recovers and can still fetch
|
||||
let result = cache.get(ok_fetcher(count.clone(), "recovered")).await;
|
||||
assert!(result.is_ok());
|
||||
assert_eq!(result.unwrap(), "recovered");
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_seed_recovers_from_poisoned_lock() {
|
||||
let cache = new_cache();
|
||||
poison_cache(&cache);
|
||||
|
||||
// seed() should not panic
|
||||
cache.seed("seeded".to_string());
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_invalidate_recovers_from_poisoned_lock() {
|
||||
let cache = new_cache();
|
||||
let count = Arc::new(AtomicUsize::new(0));
|
||||
|
||||
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap();
|
||||
|
||||
poison_cache(&cache);
|
||||
|
||||
// invalidate() should not panic
|
||||
cache.invalidate();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -335,85 +335,6 @@ impl Stream for TimeoutStream {
|
||||
}
|
||||
}
|
||||
|
||||
/// A `Stream` wrapper that slices oversized batches to enforce a maximum batch length.
|
||||
pub struct MaxBatchLengthStream {
|
||||
inner: SendableRecordBatchStream,
|
||||
max_batch_length: Option<usize>,
|
||||
buffered_batch: Option<RecordBatch>,
|
||||
buffered_offset: usize,
|
||||
}
|
||||
|
||||
impl MaxBatchLengthStream {
|
||||
pub fn new(inner: SendableRecordBatchStream, max_batch_length: usize) -> Self {
|
||||
Self {
|
||||
inner,
|
||||
max_batch_length: (max_batch_length > 0).then_some(max_batch_length),
|
||||
buffered_batch: None,
|
||||
buffered_offset: 0,
|
||||
}
|
||||
}
|
||||
|
||||
pub fn new_boxed(
|
||||
inner: SendableRecordBatchStream,
|
||||
max_batch_length: usize,
|
||||
) -> SendableRecordBatchStream {
|
||||
if max_batch_length == 0 {
|
||||
inner
|
||||
} else {
|
||||
Box::pin(Self::new(inner, max_batch_length))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
impl RecordBatchStream for MaxBatchLengthStream {
|
||||
fn schema(&self) -> SchemaRef {
|
||||
self.inner.schema()
|
||||
}
|
||||
}
|
||||
|
||||
impl Stream for MaxBatchLengthStream {
|
||||
type Item = DataFusionResult<RecordBatch>;
|
||||
|
||||
fn poll_next(
|
||||
mut self: Pin<&mut Self>,
|
||||
cx: &mut std::task::Context<'_>,
|
||||
) -> std::task::Poll<Option<Self::Item>> {
|
||||
loop {
|
||||
let Some(max_batch_length) = self.max_batch_length else {
|
||||
return Pin::new(&mut self.inner).poll_next(cx);
|
||||
};
|
||||
|
||||
if let Some(batch) = self.buffered_batch.clone() {
|
||||
if self.buffered_offset < batch.num_rows() {
|
||||
let remaining = batch.num_rows() - self.buffered_offset;
|
||||
let length = remaining.min(max_batch_length);
|
||||
let sliced = batch.slice(self.buffered_offset, length);
|
||||
self.buffered_offset += length;
|
||||
if self.buffered_offset >= batch.num_rows() {
|
||||
self.buffered_batch = None;
|
||||
self.buffered_offset = 0;
|
||||
}
|
||||
return std::task::Poll::Ready(Some(Ok(sliced)));
|
||||
}
|
||||
|
||||
self.buffered_batch = None;
|
||||
self.buffered_offset = 0;
|
||||
}
|
||||
|
||||
match Pin::new(&mut self.inner).poll_next(cx) {
|
||||
std::task::Poll::Ready(Some(Ok(batch))) => {
|
||||
if batch.num_rows() <= max_batch_length {
|
||||
return std::task::Poll::Ready(Some(Ok(batch)));
|
||||
}
|
||||
self.buffered_batch = Some(batch);
|
||||
self.buffered_offset = 0;
|
||||
}
|
||||
other => return other,
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use arrow_array::Int32Array;
|
||||
@@ -549,7 +470,7 @@ mod tests {
|
||||
assert_eq!(string_to_datatype(string), Some(expected));
|
||||
}
|
||||
|
||||
fn sample_batch(num_rows: i32) -> RecordBatch {
|
||||
fn sample_batch() -> RecordBatch {
|
||||
let schema = Arc::new(Schema::new(vec![Field::new(
|
||||
"col1",
|
||||
DataType::Int32,
|
||||
@@ -557,14 +478,14 @@ mod tests {
|
||||
)]));
|
||||
RecordBatch::try_new(
|
||||
schema.clone(),
|
||||
vec![Arc::new(Int32Array::from_iter_values(0..num_rows))],
|
||||
vec![Arc::new(Int32Array::from(vec![1, 2, 3]))],
|
||||
)
|
||||
.unwrap()
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_timeout_stream() {
|
||||
let batch = sample_batch(3);
|
||||
let batch = sample_batch();
|
||||
let schema = batch.schema();
|
||||
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
|
||||
|
||||
@@ -594,7 +515,7 @@ mod tests {
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_timeout_stream_zero_duration() {
|
||||
let batch = sample_batch(3);
|
||||
let batch = sample_batch();
|
||||
let schema = batch.schema();
|
||||
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
|
||||
|
||||
@@ -613,7 +534,7 @@ mod tests {
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_timeout_stream_completes_normally() {
|
||||
let batch = sample_batch(3);
|
||||
let batch = sample_batch();
|
||||
let schema = batch.schema();
|
||||
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
|
||||
|
||||
@@ -631,35 +552,4 @@ mod tests {
|
||||
// Stream should be empty now
|
||||
assert!(timeout_stream.next().await.is_none());
|
||||
}
|
||||
|
||||
async fn collect_batch_sizes(
|
||||
stream: SendableRecordBatchStream,
|
||||
max_batch_length: usize,
|
||||
) -> Vec<usize> {
|
||||
let mut sliced_stream = MaxBatchLengthStream::new(stream, max_batch_length);
|
||||
sliced_stream
|
||||
.by_ref()
|
||||
.map(|batch| batch.unwrap().num_rows())
|
||||
.collect::<Vec<_>>()
|
||||
.await
|
||||
}
|
||||
|
||||
#[tokio::test]
|
||||
async fn test_max_batch_length_stream_behaviors() {
|
||||
let schema = sample_batch(7).schema();
|
||||
let mock_stream = stream::iter(vec![Ok(sample_batch(2)), Ok(sample_batch(7))]);
|
||||
|
||||
let sendable_stream: SendableRecordBatchStream =
|
||||
Box::pin(RecordBatchStreamAdapter::new(schema.clone(), mock_stream));
|
||||
assert_eq!(
|
||||
collect_batch_sizes(sendable_stream, 3).await,
|
||||
vec![2, 3, 3, 1]
|
||||
);
|
||||
|
||||
let sendable_stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new(
|
||||
schema,
|
||||
stream::iter(vec![Ok(sample_batch(2)), Ok(sample_batch(7))]),
|
||||
));
|
||||
assert_eq!(collect_batch_sizes(sendable_stream, 0).await, vec![2, 7]);
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user