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A view could only map source rows one to one, or one to many through a FROM-position item, so nothing could see all the rows sharing a key. A view query now takes `GROUP BY expr, ...` with aggregate projections, planned and executed by DataFusion over the lance scan. A group spans fragments, so a grouped view is recomputed in full whenever its source changes; each row's provenance is its group's smallest source row id. Such a query is stored as definition format 2, so a reader that predates grouping reports the view as unrefreshable instead of failing to parse it. Stacked on #4190.
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.