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Wyatt Alt
2af85bea89
The server's backfill request takes a row filter, failure limits, per-call timeouts and worker sizing, and SQL exposes all of them through `REFRESH COLUMN ... WHERE ... WITH (...)`, but the typed SDKs could send only batch_size, GPU placement and the retry and error policies. Anyone needing a filtered refresh or a bounded skip policy had to drop to SQL. This adds `where`, `max_failed_fraction`, `max_failed_rows`, `row_timeout_seconds`, `init_timeout_seconds`, `num_workers` and `max_executor_processes_per_worker` to Python, Rust and Node, passed through unchanged. `RefreshColumnOptions` now serializes straight into the request body, so the three SDKs share one producer. Node gets a `RefreshColumnOptions` object, which also carries the options it lacked before. A LanceDB Embedded refresh rejects every option other than batch_size and GPU placement, naming the option.
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.