Benchmark: Tab length - MeasureThat.net

HTML Preparation code:

<script src="https://ajax.googleapis.com/ajax/libs/angularjs/1.4.2/angular.min.js"></script>

Script Preparation code:

var tab = [];
tab[999]= null;
var i = 0;
var sum = 0;

Tests:

test 1
for(i=0; i<tab.length;i++){sum += 1;}
test 2
var a = tab.length; for(i=0; i<a;i++){sum += 1;}
test 3
_.forEach(tab, function(){sum += 1;});
test 4
angular.forEach(tab, function() {sum += 1;});
test 5
tab.map(function (x) {sum += 1});

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
test 1
test 2
test 3
test 4
test 5

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

LLMs can make mistakes. Check important info.

**Overview of the Benchmark**

The provided JSON represents a JavaScript microbenchmark test case, where users can create and run various benchmarks to measure the performance of different JavaScript approaches.

**Benchmark Definition: Tab Length**

The first benchmark definition in the JSON is "for(i=0; i<tab.length;i++){sum += 1;}". This benchmark tests the performance of a simple for loop that iterates over an array (`tab`) and increments a variable (`sum`) by 1 for each iteration.

**Comparison Options:**

There are four comparison options in this benchmark:

1. **Native Loop**: The original code uses a native JavaScript for loop to iterate over the `tab` array.
2. **AngularJS's `forEach` Method**: The second option uses AngularJS's built-in `forEach` method to iterate over the `tab` array.
3. **Lodash's `_forEach` Method**: The third option uses Lodash's `_forEach` method to iterate over the `tab` array.
4. **Array.prototype.map() Method**: The fourth option uses JavaScript's `map()` method to transform an array and increment a variable (`sum`) by 1 for each element.

**Pros and Cons of Each Approach:**

1. **Native Loop**:
	* Pros: Fastest execution time, as it is the most native approach.
	* Cons: Requires manual indexing and iteration over the array.
2. **AngularJS's `forEach` Method**:
	* Pros: Easy to use and understand, as it leverages AngularJS's built-in functionality.
	* Cons: May be slower than native loops due to overhead from the framework.
3. **Lodash's `_forEach` Method**:
	* Pros: Provides a convenient and consistent way to iterate over arrays across different JavaScript environments.
	* Cons: Requires an external library (Lodash), which may not be suitable for all use cases.
4. **Array.prototype.map() Method**:
	* Pros: Transforms the array and increments a variable in a single step, making it more concise.
	* Cons: May be slower than native loops due to overhead from the method call.

**Other Considerations:**

* The benchmark assumes that the `tab` array is already populated with values. In a real-world scenario, this might not always be the case.
* The `sum` variable is initialized to 0 before each iteration, which may affect the results.

**Library Usage:**

The test case uses two external libraries:

1. **AngularJS**: Used for its built-in `forEach` method in option 2.
2. **Lodash**: Used for its `_forEach` method in option 3.

**Special JavaScript Feature or Syntax:**

None of the options rely on any special JavaScript features or syntax that would make them less accessible to a wide range of software engineers.

**Alternatives:**

Other alternatives to these approaches include:

1. Using a custom iterator function instead of native loops.
2. Utilizing Web Workers for parallel processing.
3. Employing advanced optimization techniques, such as memoization or caching.
4. Leveraging specialized libraries like Fastest or Benchmark.js for more accurate and efficient benchmarking.

Keep in mind that these alternatives may not be applicable to every use case and may require additional setup or expertise.

Related benchmarks:

Tab length (version: 0)

Comparing performance of: test 1 vs test 2 vs test 3 vs test 4 vs test 5

Created: 8 years ago by: Guest

Jump to the latest result

test 1

test 2

test 3

test 4

test 5

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):