There are many articles about the JavaScript Event Loop online, but most lack real-world context. This article explores best practices from actual projects.
Basic Usage
Here is a real-world example:
javascript
import React, { Component } from "react";
class Form extends Component {
state = { name: "", email: "", errors: {} };
handleChange = (e) => {
this.setState({ [e.target.name]: e.target.value });
};
handleSubmit = (e) => {
e.preventDefault();
const errors = this.validate();
if (Object.keys(errors).length === 0) {
this.props.onSubmit(this.state);
} else {
this.setState({ errors });
}
};
validate() {
const errors = {};
if (!this.state.name) errors.name = "Required";
if (!this.state.email.includes("@")) errors.email = "Invalid format";
return errors;
}
render() {
return <form onSubmit={this.handleSubmit}>...</form>;
}
}
After promoting this pattern across the team, the results were great and maintenance costs dropped noticeably.
Advanced Techniques
This can be achieved with the following approach:
javascript
function deepClone(obj, map = new WeakMap()) {
if (obj === null || typeof obj !== "object") return obj;
if (map.has(obj)) return map.get(obj);
const clone = Array.isArray(obj) ? [] : {};
map.set(obj, clone);
for (const key of Object.keys(obj)) {
clone[key] = deepClone(obj[key], map);
}
return clone;
}
Pay attention to the performance details in the code above and avoid unnecessary computation.
Real-World Case Study
Refer to the following implementation:
javascript
function pLimit(concurrency) {
const queue = [];
let active = 0;
const next = () => {
if (active >= concurrency || queue.length === 0) return;
active++;
const { fn, resolve, reject } = queue.shift();
fn()
.then(resolve, reject)
.finally(() => {
active--;
next();
});
};
return (fn) =>
new Promise((resolve, reject) => {
queue.push({ fn, resolve, reject });
next();
});
}
This setup has been validated in production and runs reliably.