In this lesson, you will learn how to guarantee that independent asynchronous callback tasks run one after the other, ensuring predictable execution order even when they don’t return Promises.
The Problem: Chaos in Asynchrony
When you trigger multiple asynchronous tasks (like reading files or hitting an API), Node.js usually executes them as soon as they are ready. If Task A takes longer than Task B, Task B might finish first. If your logic relies on Task A finishing before Task B starts, this "race condition" can crash your application.
The Solution: The Sequential Queue
To fix this, we build a "Queue" that holds onto our functions. Instead of firing them all at once, the queue triggers the next task only when the current one notifies us it is finished via a callback.
Imagine a line at a checkout counter; the next person only steps forward once the previous person is done. Here is how we implement that in plain Node.js:
const taskQueue = {
queue: [],
isProcessing: false,
push(task) {
this.queue.push(task);
this.process();
},
process() {
if (this.isProcessing || this.queue.length === 0) return;
this.isProcessing = true;
const nextTask = this.queue.shift();
// The callback signals the task is done
nextTask(() => {
this.isProcessing = false;
this.process(); // Trigger the next one
});
}
};
// Usage
taskQueue.push((done) => setTimeout(() => { console.log('Task 1'); done(); }, 1000));
taskQueue.push((done) => setTimeout(() => { console.log('Task 2'); done(); }, 500));
How it Works
- The Array: We store our callback functions in a simple
queuearray. - The Lock:
isProcessingacts as a gatekeeper. If it’strue, the queue waits. - The Trigger: When a task completes, it calls the
donefunction we provided. This clears the lock and immediately callsprocess()again to check for the next job.
By wrapping our asynchronous work in this structure, we move from unpredictable, concurrent execution to a reliable, serial timeline.
Key Takeaway: An ordered sequential queue uses a recursive callback trigger and a processing lock to force asynchronous tasks to execute strictly one at a time.