What are streams in Node.js, and what are their types?

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Join Quality Thought and transform yourself into a skilled MERN Stack Developer. Whether you're a fresher or a professional looking to upskill, this course is your gateway to exciting career opportunities in full stack development.Streams in Node.js are abstractions for handling continuous flows of data with high efficiency, especially for large datasets or real-time data transfer.

What Are Streams?

Streams enable processing data piece by piece (in chunks) as it arrives, rather than loading an entire dataset into memory. This is especially useful for file I/O, network connections, and large data processing tasks, making Node.js applications more memory-efficient and scalable.

Types of Streams

Node.js supports four main types of streams:

  • Readable Streams: For reading data from a source (such as files with fs.createReadStream() or HTTP requests). These streams emit data events for each chunk and an end event when all data is read.

  • Writable Streams: For writing data to a destination (such as files with fs.createWriteStream() or HTTP responses). Data is sent using the write() method and completed with end().

  • Duplex Streams: These can both read and write data independently. Examples include network sockets (net.Socket).

  • Transform Streams: Special duplex streams that transform incoming data as it passes through, such as compression streams (zlib.createGzip()).

Example Use Cases

  • Readable: Streaming file data to a client

  • Writable: Logging received data to a file

  • Duplex: TCP network connections

  • Transform: Compressing or encrypting data on the fly

Summary Table

Stream TypeDescriptionExample Use Case
ReadableRead from sourcefs.createReadStream() 
WritableWrite to destinationfs.createWriteStream() 
DuplexRead & write bothnet.Socket 
TransformModify as it flowszlib.createGzip() 

Streams form the backbone of efficient I/O in Node.js, and their four types enable flexible, powerful handling of nearly any data transfer scenario.

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