Files
lancedb/nodejs/__test__/arrow.test.ts
Lei Xu 1cd5426aea feat: rework NodeJS SDK using napi (#847)
Use Napi to write a Node.js SDK that follows Polars for better
maintainability, while keeping most of the logic in Rust.
2024-01-23 15:14:45 -08:00

107 lines
3.0 KiB
TypeScript

// Copyright 2024 Lance Developers.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import { makeArrowTable, toBuffer } from "../vectordb/arrow";
import {
Field,
FixedSizeList,
Float16,
Float32,
Int32,
tableFromIPC,
Schema,
Float64,
} from "apache-arrow";
test("customized schema", function () {
const schema = new Schema([
new Field("a", new Int32(), true),
new Field("b", new Float32(), true),
new Field(
"c",
new FixedSizeList(3, new Field("item", new Float16())),
true
),
]);
const table = makeArrowTable(
[
{ a: 1, b: 2, c: [1, 2, 3] },
{ a: 4, b: 5, c: [4, 5, 6] },
{ a: 7, b: 8, c: [7, 8, 9] },
],
{ schema }
);
expect(table.schema.toString()).toEqual(schema.toString());
const buf = toBuffer(table);
expect(buf.byteLength).toBeGreaterThan(0);
const actual = tableFromIPC(buf);
expect(actual.numRows).toBe(3);
const actualSchema = actual.schema;
expect(actualSchema.toString()).toStrictEqual(schema.toString());
});
test("default vector column", function () {
const schema = new Schema([
new Field("a", new Float64(), true),
new Field("b", new Float64(), true),
new Field("vector", new FixedSizeList(3, new Field("item", new Float32()))),
]);
const table = makeArrowTable([
{ a: 1, b: 2, vector: [1, 2, 3] },
{ a: 4, b: 5, vector: [4, 5, 6] },
{ a: 7, b: 8, vector: [7, 8, 9] },
]);
const buf = toBuffer(table);
expect(buf.byteLength).toBeGreaterThan(0);
const actual = tableFromIPC(buf);
expect(actual.numRows).toBe(3);
const actualSchema = actual.schema;
expect(actualSchema.toString()).toEqual(actualSchema.toString());
});
test("2 vector columns", function () {
const schema = new Schema([
new Field("a", new Float64()),
new Field("b", new Float64()),
new Field("vec1", new FixedSizeList(3, new Field("item", new Float16()))),
new Field("vec2", new FixedSizeList(3, new Field("item", new Float16()))),
]);
const table = makeArrowTable(
[
{ a: 1, b: 2, vec1: [1, 2, 3], vec2: [2, 4, 6] },
{ a: 4, b: 5, vec1: [4, 5, 6], vec2: [8, 10, 12] },
{ a: 7, b: 8, vec1: [7, 8, 9], vec2: [14, 16, 18] },
],
{
vectorColumns: {
vec1: { type: new Float16() },
vec2: { type: new Float16() },
},
}
);
const buf = toBuffer(table);
expect(buf.byteLength).toBeGreaterThan(0);
const actual = tableFromIPC(buf);
expect(actual.numRows).toBe(3);
const actualSchema = actual.schema;
expect(actualSchema.toString()).toEqual(schema.toString());
});