Introduction to cpuprofile

cpuprofile is a powerful tool for developers aiming to optimize CPU performance. This guide will introduce you to its various APIs, complete with code snippets to illustrate their usage. By the end of this article, you will also see a complete app example integrating these APIs.

Getting Started with cpuprofile

First, you’ll need to install the cpuprofile library:

npm install cpuprofile

Basic API Usage

Here are some of the most commonly used APIs:

Starting and Stopping a Profile

To start and stop a CPU profile:

  const cpuprofile = require('cpuprofile');

  // Start profiling
  const profile = cpuprofile.startProfile();
  
  // Code you want to profile goes here

  // Stop profiling
  profile.stop();

Saving a Profile

To save a profile to a file:

  profile.save('profile.cpuprofile');

Loading and Inspecting a Profile

To load an existing profile and inspect it:

  const loadedProfile = cpuprofile.load('profile.cpuprofile');

  loadedProfile.inspect();

Analyzing a Profile

To analyze the data within a profile:

  const analysis = loadedProfile.analyze();

  console.log(analysis.summary);

Complete App Example

Here is a complete example of an application using these APIs:

  const cpuprofile = require('cpuprofile');
  const express = require('express');
  const app = express();

  app.get('/', (req, res) => {
    const profile = cpuprofile.startProfile();

    // Simulate workload
    for (let i = 0; i < 1000000; i++) {
      Math.sqrt(i);
    }

    profile.stop();

    profile.save('cpu-profile.cpuprofile');
    const loadedProfile = cpuprofile.load('cpu-profile.cpuprofile');
    const analysis = loadedProfile.analyze();

    res.send(analysis.summary);
  });

  app.listen(3000, () => {
    console.log('App is running on port 3000');
  });

By following these steps, you can use cpuprofile to monitor and optimize your application’s CPU usage efficiently.

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