var size = 1024;
var buffer = new ArrayBuffer(size);
var bytes = new Uint8Array(buffer);
var dv = new DataView(buffer);
for (var i = 0; i < size; i++)
dv.setUint8(i, Math.ceil(Math.random() * 255));
for (var i = 0; i < size; i++)
dv.getUint8(i);
var size = 1024;
var buffer = new ArrayBuffer(size);
var bytes = new Uint8Array(buffer);
for (var i = 0; i < size; i++)
bytes[i];
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
DataView | |
Uint8Array |
Test name | Executions per second |
---|---|
DataView | 2586.1 Ops/sec |
Uint8Array | 154549.4 Ops/sec |
Let's dive into the benchmark.
What is being tested?
The provided JSON represents two test cases:
DataView
and Uint8Array
when reading bytes from an ArrayBuffer.Uint8Array
.In other words, these benchmarks aim to measure how efficiently JavaScript engines can access data in arrays versus using the DataView
API.
Options compared:
The two test cases compare:
DataView
: A typed array class that allows direct memory access. It's useful for scenarios where you need to interact with binary data, such as reading or writing files, network packets, or image data.Uint8Array
: An unsigned 8-bit integer type that can be used as a replacement for DataView
in many cases.Pros and Cons of each approach:
DataView
Pros:
DataView
is a built-in API in JavaScript, which means it's optimized for performance.Cons:
DataView
might require more understanding of its underlying mechanics.Uint8Array
Pros:
Uint8Array
, making it easier to understand and work with this type of data.Uint8Array
can be slightly faster than DataView
.Cons:
Uint8Array
might be less efficient than using DataView
, which provides native memory access.Library used:
In this benchmark, the library being tested is not explicitly mentioned. However, it's safe to assume that the test results are platform-agnostic, as both browsers (Chrome Mobile and the unspecified browser) use their own implementations of Uint8Array
and DataView
.
Special JS feature or syntax:
There is no specific JavaScript feature or syntax being tested in this benchmark.
However, please note that there might be other factors at play during these tests, such as garbage collection, optimization algorithms, or the actual implementation details within each browser's engine. These factors can influence performance and might not be directly related to the chosen API.
Alternatives:
If you're interested in exploring alternative approaches for working with binary data in JavaScript, consider:
TypedArray
: A built-in class that provides a more flexible and efficient way of working with typed arrays.Buffer
: A class provided by Node.js for working with buffers, which can be useful when dealing with large amounts of binary data.libv8
) or modules that provide more optimized and efficient ways to work with binary data in JavaScript.By understanding the trade-offs between different approaches, you can choose the best solution for your particular use case and optimize performance accordingly.