<!--your preparation HTML code goes here-->
function bigIntToBigEndianBytesLoop(value) {
const hex = value.toString(16).padStart(8 * 2, '0');
const bytes = new Uint8Array(8);
for (let i = 0; i < 8; i++) {
bytes[i] = parseInt(hex.slice(i * 2, i * 2 + 2), 16);
}
return bytes;
}
function bigIntToBigEndianBytesDataView(value) {
const buf = new ArrayBuffer(8);
const view = new DataView(buf);
view.setBigUint64(0, value);
return new Uint8Array(buf);
}
bigIntToBigEndianBytesLoop(2382975329865n);
bigIntToBigEndianBytesDataView(2382975329865n);
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
for-loop | |
dataview |
Test name | Executions per second |
---|---|
for-loop | 2036562.4 Ops/sec |
dataview | 1237397.4 Ops/sec |
This benchmark compares two methods of converting a JavaScript BigInt
value to a Uint8Array
, which is a typed array that represents an array of 8-bit unsigned integers. The two methods assessed are:
For-loop Method (bigIntToBigEndianBytesLoop):
BigInt
to its hexadecimal representation, and then iterates over the hexadecimal string in chunks, converting each chunk into an integer to fill a Uint8Array
. DataView Method (bigIntToBigEndianBytesDataView):
DataView
object to directly write the BigInt
to an ArrayBuffer
and subsequently returns a Uint8Array
view of that buffer.DataView
API and binary data handling in JavaScript.ArrayBuffer
. It allows for the manipulation of binary data in a platform-independent way.BigInt
to a binary representation, and while these two are compared, there are other potential alternatives:Uint16Array
or Uint32Array
, could also be utilized based on the specific requirements of the data representation.Buffer
(available in Node.js) or third-party libraries such as big-integer
could also be considered, particularly in server-side or larger-scale applications.In summary, this benchmark elucidates the efficiency of different approaches to converting BigInt
to Uint8Array
with the performance implications in mind. The DataView method offers better performance and efficiency, particularly important for large data processing or performance-sensitive applications. However, understanding both methods enhances a developer's ability to manipulate binary data in JavaScript.