Node.js stream processing is a topic encountered frequently in day-to-day development. This article draws from real projects to share practical implementation approaches and lessons learned.
Basic Concepts
Here is a basic usage example:
javascript
export default {
props: ["items"],
computed: {
sorted() {
return [...this.items].sort((a, b) => b.score - a.score);
},
count() {
return this.items.length;
},
},
filters: {
formatDate(val) {
return new Date(val).toLocaleDateString("en-US");
},
},
};
This pattern is concise and suitable for most scenarios.
Deep Dive
Here is the core code:
javascript
export default {
directives: {
focus: {
inserted(el) {
el.focus();
},
},
loading: {
bind(el, binding) {
if (binding.value) {
el.classList.add("loading");
}
},
update(el, binding) {
el.classList.toggle("loading", binding.value);
},
},
},
};
In real projects, you also need to consider edge cases and error handling.
Project Application
Here is a real-world example:
javascript
import React, { Component } from "react";
class DataList extends Component {
state = { items: [], loading: true };
async componentDidMount() {
const res = await fetch("/api/items");
const items = await res.json();
this.setState({ items, loading: false });
}
render() {
const { items, loading } = this.state;
if (loading) return <div>Loading...</div>;
return (
<ul>
{items.map((item) => (
<li key={item.id}>{item.name}</li>
))}
</ul>
);
}
}
After promoting this pattern across the team, the results were great and maintenance costs dropped noticeably.