nodejs conversion from buffer data to byte array

The Buffer docs are very enlightening:

Prior to the introduction of TypedArray, the JavaScript language had no mechanism for reading or manipulating streams of binary data. The Buffer class was introduced as part of the Node.js API to enable interaction with octet streams in TCP streams, file system operations, and other contexts.

With TypedArray now available, the Buffer class implements the Uint8Array API in a manner that is more optimized and suitable for Node.js.

Buffer instances are also Uint8Array instances. However, there are subtle incompatibilities with TypedArray. For example, while ArrayBuffer#slice() creates a copy of the slice, the implementation of Buffer#slice() creates a view over the existing Buffer without copying, making Buffer#slice() far more efficient.

It is also possible to create new TypedArray instances from a Buffer with the following caveats:

  1. The Buffer object's memory is copied to the TypedArray, not shared.

  2. The Buffer object's memory is interpreted as an array of distinct elements, and not as a byte array of the target type. That is, new Uint32Array(Buffer.from([1, 2, 3, 4])) creates a 4-element Uint32Array with elements [1, 2, 3, 4], not a Uint32Array with a single element [0x1020304] or [0x4030201].

They go on to mention TypedArray.from, which in node accepts Buffers, so the 'correct' way is:

var arrByte = Uint8Array.from(data)

...however, this shouldn't be necessary at all since a Buffer is a Uint8Array and new UintArray(someBuffer) does work just fine.

There's also no context in your question, but Blob doesn't exist in node, and you shouldn't need it anyway, since Buffer already gives you raw access to binary data and the other fs methods let you read and write files.


  import * as fs from 'fs';
  [...]
  event:(data) => {
    fs.readFile(data, function(err, data) {
      var arrByte= new Uint8Array.from(Buffer.from(data))
      var binaryData= new Blob([arrByte])
      if (err) throw err;
      console.log(binaryData)
    }
 }