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Tag: Node.js streams tutorial

  • How to Create Custom Readable Streams in Node.js: A Guide

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    I’m a storyteller, sitting by a campfire, with an audience eagerly waiting to hear a tale. But, there’s a twist: instead of telling the story all at once, I decide to share it bit by bit, allowing the suspense to build, much like how a custom readable stream in Node.js works.

    In this analogy, the campfire is my Node.js environment, and I’m the storyteller, representing the custom readable stream. Now, I have a magical bag full of story snippets—each snippet is a chunk of data I want to share with my audience. The audience, on the other hand, represents the data consumers that are waiting to process each chunk as it comes.

    To make this storytelling experience seamless, I decide to use a special technique. I announce to my audience that whenever they’re ready for the next part of the story, they should signal me, and I’ll pull a snippet from my magical bag and share it. This is akin to implementing a custom readable stream where I extend the Readable class, and each time the consumer is ready, I push a new data chunk.

    So, I set up my storytelling process by first inheriting the storytelling tradition (extending the Readable class). Then, I prepare my magical bag with all the snippets (the data source). As the night progresses, each time the audience signals with anticipation, I pull out a snippet and narrate it (using the _read method to push data).

    Occasionally, I might take a pause when my magical bag runs out of snippets, or the audience has had enough for the night. This mirrors the end of a stream when no more data is available, or the stream is closed.

    This storytelling by the campfire continues until either the whole tale is told or the night ends, and the audience is left with a story that unfolded at just the right pace—much like how a custom readable stream delivers data efficiently and asynchronously in Node.js.

    And that’s how I create a captivating storytelling experience, or in Node.js terms, a custom readable stream! If you enjoyed this analogy, consider sharing it so others can learn through stories too.


    Setting Up the Scene

    First, I need to bring in the tools for storytelling. In Node.js, this means requiring the necessary modules:

    const { Readable } = require('stream');

    Preparing the Storyteller

    Just like I would prepare myself to tell the story, I create a class that extends the Readable stream. This class will define how I share each chunk of the story.

    class Storyteller extends Readable {
      constructor(storySnippets, options) {
        super(options);
        this.storySnippets = storySnippets;
        this.currentSnippetIndex = 0;
      }
    
      _read(size) {
        if (this.currentSnippetIndex < this.storySnippets.length) {
          const snippet = this.storySnippets[this.currentSnippetIndex];
          this.push(snippet);
          this.currentSnippetIndex++;
        } else {
          this.push(null); // No more story to tell
        }
      }
    }

    Filling the Magical Bag

    I need to fill my magical bag with story snippets, which are essentially chunks of data that I want to stream to my audience.

    const storySnippets = [
      'Once upon a time, ',
      'in a land far away, ',
      'there lived a brave knight.',
      'The end.'
    ];

    Starting the Storytelling

    To begin the storytelling session, I create an instance of the Storyteller class and listen to the data as it streams in.

    const storyteller = new Storyteller(storySnippets);
    
    storyteller.on('data', (chunk) => {
      process.stdout.write(chunk);
    });
    
    storyteller.on('end', () => {
      console.log('\nThe story has ended.');
    });

    Key Takeaways

    1. Custom Readable Streams: By extending the Readable class in Node.js, I can create custom streams that handle data in a way that suits my needs.
    2. Efficient Data Handling: This method allows for efficient, chunk-by-chunk data processing, which is especially useful for large datasets or when working with I/O operations.
    3. Asynchronous Processing: Node.js streams are inherently asynchronous, allowing for non-blocking operations, which is essential for scalable applications.