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lancedb-gatefixer[bot]andXuanwo
f5f4463b15
`blobMode: "bytes"` left blobs inside structs as descriptors because projection matching ignored parent structs and byte replacement only rebuilt top-level fields. Expand direct struct projections and aliases to their blob leaves, then recursively replace the corresponding Arrow fields and data with `LargeBinary`. Track literal output names separately from descendant paths so scalar aliases stay intact and every overlapping blob projection is converted. Preserve null structs, null and empty blobs, sibling fields, schema metadata, and the existing row ID and snapshot behavior. Blobs inside lists retain their descriptors. Update the API docs to describe struct support. Regression coverage includes full and parent-struct projections, leaf and struct aliases, dotted output names, overlapping projections in both orders, nested structs, nulls, empty blobs and results, multiple batches, list siblings, query reuse, row IDs, and concurrent writes. Regression tests reproduce the nested-blob and projection-collision failures before the corresponding changes. Validation: - `pnpm build` - `pnpm lint` - `pnpm run docs` - `pnpm test __test__/nested_blob.test.ts __test__/blob.test.ts __test__/query.test.ts --runInBand --verbose=false` — 142 passed - `pnpm test __test__/table.test.ts --runInBand --verbose=false -t 'when dealing with blob columns'` — 60 passed Fixes #4609 <!-- lance-gatekeeper-fix:v1 agent=76edaac77d044c468d569b58efa2104a 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.