鸿蒙原生应用开发-ArkTS语言基础类库多线程CPU密集型任务Worker

import worker from '@ohos.worker';

const workerInstance = new worker.ThreadWorker('entry/ets/workers/MyWorker.ts');

1.
2.
3.
4.

// 接收Worker子线程的结果
workerInstance.onmessage = function(e) {
  // data：Worker线程发送的信息
  let data = e.data;
  console.info('MyWorker.ts onmessage');
}

workerInstance.onerror = function (d) {
  // 接收Worker子线程的错误信息
}

// 向Worker子线程发送训练消息
workerInstance.postMessage({ 'type': 0 });
// 向Worker子线程发送预测消息
workerInstance.postMessage({ 'type': 1, 'value': [90, 5] });
1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.

import worker, { ThreadWorkerGlobalScope, MessageEvents, ErrorEvent } from '@ohos.worker';

let workerPort: ThreadWorkerGlobalScope = worker.workerPort;
1.
2.
3.

import worker, { ThreadWorkerGlobalScope, MessageEvents, ErrorEvent } from '@ohos.worker';

let workerPort: ThreadWorkerGlobalScope = worker.workerPort;

// 定义训练模型及结果 
let result;

// 定义预测函数
function predict(x) {
  return result[x];
}

// 定义优化器训练过程
function optimize() {
  result = {};
}

// Worker线程的onmessage逻辑
workerPort.onmessage = function (e: MessageEvents) {
  let data = e.data
  // 根据传输的数据的type选择进行操作
  switch (data.type) {
    case 0:
    // 进行训练
      optimize();
    // 训练之后发送主线程训练成功的消息
      workerPort.postMessage({ type: 'message', value: 'train success.' });
      break;
    case 1:
    // 执行预测
      const output = predict(data.value);
    // 发送主线程预测的结果
      workerPort.postMessage({ type: 'predict', value: output });
      break;
    default:
      workerPort.postMessage({ type: 'message', value: 'send message is invalid' });
      break;
  }
}

1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.

// Worker线程销毁后，执行onexit回调方法
workerInstance.onexit = function() {
  console.info("main thread terminate");
}

1.
2.
3.
4.
5.

// 销毁Worker线程
workerInstance.terminate();

1.
2.
3.

// 销毁线程
workerPort.close();

1.
2.
3.