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testgreg
(version: 0)
Comparing performance of:
test1 vs test2
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
test1
var params = [ {a: "test"}, {a: "test"}, {a: "test"}]; var other = params.map(el => el);
test2
var params = [ {a: "test"}, {a: "test"}, {a: "test"}]; var other = params.concat();
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
test1
test2
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/121.0.0.0 Safari/537.36
Browser/OS:
Chrome 121 on Mac OS X 10.15.7
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<iframe src="https://measurethat.net/Embed?id=504738" width="100%" height="500px"></iframe>
test2
31.9M/s
test1
30.9M/s
View exact numbers
Test name
Executions per second
✓
test2
31,868,824 Ops/sec
test1
30,935,218 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring JavaScript performance is a fascinating topic! Let's break down the provided JSON data and explain what's being tested. **Benchmark Definition** The `Benchmark Definition` section defines the script that will be executed to test the performance of various algorithms or techniques. In this case, we have two test cases: 1. `test1`: This benchmark definition uses the `map()` method to create a new array from an existing one. 2. `test2`: This benchmark definition uses the `concat()` method to concatenate multiple arrays. **Options being compared** The main options being compared are: * `map() vs concat()`: These two methods achieve different results, but also have different performance characteristics. + `map()`: Creates a new array by applying a provided function to each element of an existing array. It's generally faster and more memory-efficient than `concat()`, especially for large datasets. + `concat()`: Concatenates multiple arrays into one array. It's often used when working with older browsers that don't support `map()`. **Pros and Cons** * **map():** + Pros: - Faster execution time - More memory-efficient (no need to create a new array) - Can be more readable code + Cons: - May not work in older browsers that don't support `map()` - Requires a callback function, which can add complexity to the code * **concat():** + Pros: - Works in all modern browsers (including older versions of Internet Explorer) - Simple and easy to understand + Cons: - Slower execution time compared to `map()` - Requires creating a new array, which can consume more memory **Other considerations** * **Array iteration**: Both methods are designed for iterating over arrays. However, `map()` is often preferred when working with large datasets or performance-critical code. * **Browser support**: As mentioned earlier, some older browsers may not support the `map()` method. In such cases, `concat()` might be a better choice. **Library and special JS feature** There are no libraries explicitly mentioned in this benchmark definition. However, if we assume that the `map()` and `concat()` methods are being used to optimize performance or memory usage, we can consider them as part of the standard JavaScript API. If you'd like to explore alternative approaches, some other options could be: * Using `forEach()` instead of `map()` or `concat()` * Utilizing modern ES6+ features like `Array.prototype.filter()`, `Array.prototype.reduce()`, or `Array.prototype.every()` * Leveraging libraries like Lodash or Underscore.js for array manipulation and optimization * Investigating alternative data structures, such as using a single array with indices instead of separate arrays Keep in mind that the choice of method often depends on the specific requirements of your project, including performance, memory usage, and browser support. I hope this explanation helps you understand the benchmark being tested!
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