Files
lancedb/nodejs
Wyatt Alt 01ee01dbc8 feat: define a materialized view by its query, with Functions in FROM position (#4190)
A view definition was a structured record under a `kind` tag, one kind
per query shape, and a Function returning `list<struct>` was about to
add a third. That names shapes instead of describing a relation.

A materialized view is now a relation defined by a query, stored as one
canonical SQL string under a format number:

```sql
SELECT columns FROM [ns.]table [, function(args) AS alias | , UNNEST(column) AS alias]
[WHERE predicate] [LIMIT n]
```

Any other clause is refused at parse time. Older readers report the view
as unrefreshable, the pre-format layouts still read, and a legacy view
is rewritten on its next refresh that commits, rebuilt only where its
raw text meant something else under lance's parser.

A Function in FROM position yields one row per element it returns, as a
table function does in any dialect. The server stages its list output in
a hidden table and records that binding beside the query, which stays as
the user wrote it; refresh scans the staging and unnests the column, the
same operator as UNNEST over a list column the table already holds. Row
ids repeat per element, so eviction and incremental append are
unchanged. A local database refuses a Function in FROM position, since
it has no executor.
2026-09-18 12:16:25 -07:00
..
2025-03-21 10:56:29 -07:00
2025-01-29 08:27:07 -08:00

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.