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lancedb-gatefixer[bot]andXuanwo
83b7275137
Remote `create_table` reader uploads can exceed the read deadline while waiting for response headers, but reqwest's main error message only says "error sending request". Make HTTP and retry errors explicitly identify timeouts and name the relevant `client_config.timeout_config` settings and environment variables, preserving typed sources, request metadata, and retry classification. Document that the read timeout covers waiting for headers during upload. This implements the issue's diagnostic option: creation still uses one streaming request, so large or slow readers may require a longer `client_config.timeout_config.read_timeout`. Validation: - 48 focused Rust client, error, and retry tests passed. Regression coverage holds an upload open until its read timeout and also exercises TLS connection timeouts, with and without retries. - 8 Python create-table and HTTP/retry error tests passed in the uv-managed environment after rebuilding the extension, including reader creation with read and overall timeouts. - `cargo check --quiet --features remote --tests --examples` passed. - `cargo clippy --quiet --features remote --tests --examples` passed. - Rust formatting and Python package Ruff lint/format checks passed. - Repository-wide `ruff check .` reports 49 existing findings under `docs/web-tests`; those files are unchanged. Fixes #4646 <!-- lance-gatekeeper-fix:v1 agent=ce1c040fa581f1748166ecb686d9c9c0 generation=1 --> --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Co-authored-by: Xuanwo <github@xuanwo.io>
LanceDB JavaScript SDK
A JavaScript library for LanceDB.
Installation
npm install @lancedb/lancedb
This will download the appropriate native library for your platform. We currently support:
- Linux (x86_64 and aarch64 on glibc and musl)
- MacOS (Intel and ARM/M1/M2)
- Windows (x86_64 and aarch64)
Usage
Basic Example
import * as lancedb from "@lancedb/lancedb";
const db = await lancedb.connect("data/sample-lancedb");
const table = await db.createTable("my_table", [
{ id: 1, vector: [0.1, 1.0], item: "foo", price: 10.0 },
{ id: 2, vector: [3.9, 0.5], item: "bar", price: 20.0 },
]);
const results = await table.vectorSearch([0.1, 0.3]).limit(20).toArray();
console.log(results);
The quickstart contains more complete examples.
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.