var size = 20;
var arr = [Array(size)].map((_, idx) => idx);
var pointer = 0;
arr.push(123)
arr.shift()
arr[pointer++] = 123;
if (pointer >= size) pointer = 0;
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
push -> shift | |
rotating pointer |
Test name | Executions per second |
---|---|
push -> shift | 12296531.0 Ops/sec |
rotating pointer | 6235228.5 Ops/sec |
Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.
Benchmark Definition
The benchmark is designed to compare two approaches for modifying an array: using arr.push()
followed by arr.shift()
, and using a rotating pointer approach. The goal is to determine which method is faster.
Options Compared
There are two main options being compared:
push -> shift
: This approach involves adding an element to the end of the array using arr.push(123)
and then removing the first element using arr.shift()
.pointer
) to keep track of the current position in the array. When a new element is added, the pointer increments and wraps around to 0 when it reaches the end of the array.Pros and Cons
push -> shift
:pointer
) and can be more complex to implement.Library
The benchmark uses JavaScript's built-in Array
data structure. No external libraries are required.
Special JS Feature/Syntax
None mentioned in this benchmark. However, the rotating pointer approach does utilize a common optimization technique in JavaScript: using an index variable to track the current position in an array.
Other Considerations
push -> shift
approach may benefit from cache locality since elements are added and removed from adjacent positions in the array.Alternatives
If you're looking for alternative approaches or optimizations, consider:
Keep in mind that optimizations and benchmarking results may vary depending on the specific use case, JavaScript engine, and system configurations.