Files
lancedb/nodejs
brekenandbreken-ai d8063545d9 fix(node): write NaN and Infinity as SQL literals in table.update (#4327)
## What's wrong

`toSQL` renders numbers with `toString()`, so `NaN` becomes `NaN` and
`Infinity` becomes `Infinity`. SQL reads those as column names:

```ts
await table.update({ values: { price: NaN }, where: "id = 1" });
// Error: Invalid input, Schema error: No field named "NaN". Valid fields are id, price.
```

`Infinity` and `-Infinity` fail the same way. The only workaround today
is `valuesSql`.

## Fix

Emit `CAST('NaN' AS DOUBLE)`, `CAST('Infinity' AS DOUBLE)` and
`CAST('-Infinity' AS DOUBLE)` for these values. Finite numbers render as
before.

## Tests

- `__test__/util.test.ts` adds `toSQL` cases for `NaN`, `Infinity` and
`-Infinity`.
- `__test__/table.test.ts` adds "should let me update float values to
NaN and Infinity", which updates a float column and reads the values
back.
- On `main`, the new cases fail with `No field named "NaN"`.
- With the fix, all of `util.test.ts` and `table.test.ts` pass (344
tests). These were run against the published
`@lancedb/lancedb@0.40.0-beta.11` native binary.
- `biome check` is clean on the changed files.

The Python SDK has the same issue in `value_to_sql`. That fix is in
#4326.

The fix was found and written by an AI agent (Breken) and checked
against the tests above.

Co-authored-by: breken-ai <312387581+breken-ai@users.noreply.github.com>
2026-09-28 20:11:39 -05:00
..
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.