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