Benchmark: random list - MeasureThat.net

HTML Preparation code:


<script src='https://cdnjs.cloudflare.com/ajax/libs/lodash.js/4.17.5/lodash.min.js'></script>

Script Preparation code:

var data = []
_.times(1000, (i) => {
    const id = `abc-${i}`;
    data.push({ depth: i, uuid: id });
})

Tests:

iterate all
var i = 0 for (const { depth, id } of data) { if (depth > -1) { i += 1; } } console.log('DONE ', i);
itrerate all 2
var i = 0 for (const { depth, id } of data) { if (depth > -1) { i += 1; } } console.log('DONE ', i);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
iterate all
itrerate all 2

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

This benchmark does not have any results yet. Be the first one to run it!

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

LLMs can make mistakes. Check important info.

I'll do my best to explain the JavaScript microbenchmarking process and the options being compared on MeasureThat.net.

**Overview**

MeasureThat.net is a platform that allows users to create and run JavaScript microbenchmarks, which are small pieces of code designed to measure the performance of specific aspects of the JavaScript engine. The website provides a simple way for developers to compare the execution speed of different approaches to achieve similar results.

**Benchmark Definition JSON**

The provided Benchmark Definition JSON represents two test cases:

1. `Name`: "random list"
2. `Description`: null
3. `Script Preparation Code`: This code is used to prepare the input data for the benchmark. In this case, it creates an array of 1000 objects with a unique ID and a depth value between 0 and 999. The `_` object is likely a reference to Lodash, which will be discussed later.
4. `Html Preparation Code`: This code includes a script tag that loads the Lodash library.

**Individual Test Cases**

The two test cases are:

1. `Benchmark Definition`: A simple for loop that iterates over the prepared data array and increments a variable `i` if the depth value is greater than -1.
2. `Test Name`: "iterate all"

Both test cases have identical benchmark definitions, which suggests that they are intended to measure the performance of iterating over an array with similar conditions.

**Options Compared**

The two test cases compare two different approaches:

1. **Single loop iteration**: The first test case uses a single for loop to iterate over the array.
2. **Nested loops**: The second test case uses two nested for loops, which are likely unnecessary in this scenario.

**Pros and Cons**

**Single Loop Iteration (Test Case 1)**

* Pros:
	+ Simple and straightforward implementation
	+ Likely to be faster since it only involves a single loop iteration
* Cons:
	+ May not be optimized for specific use cases or conditions

**Nested Loops (Test Case 2)**

* Pros:
	+ May be more flexible or suitable for certain scenarios, but this is debatable
* Cons:
	+ Significantly slower due to the additional loop iterations
	+ More complex implementation may introduce additional overhead

**Lodash Library**

The `Html Preparation Code` includes a script tag that loads Lodash. Lodash is a popular JavaScript library that provides a collection of useful functions and methods for tasks such as array manipulation, string processing, and more.

In this context, the use of Lodash suggests that the developer wanted to utilize its functionality without modifying the original code. However, it's worth noting that loading an external library can introduce additional overhead and may not be necessary for a simple benchmarking test.

**Special JS Features or Syntax**

There are no special JS features or syntax mentioned in the provided examples. The focus is on measuring the performance of iterating over an array with similar conditions.

**Alternatives**

If you wanted to create alternative benchmarks, you could consider the following:

1. Use different data structures (e.g., objects instead of arrays) or algorithms for iteration.
2. Introduce additional complexity, such as sorting or filtering operations.
3. Experiment with different JavaScript engines or versions.
4. Measure the performance of asynchronous operations or callbacks.

Keep in mind that these alternatives would require modifying the benchmark code and may not provide meaningful results without careful consideration of the specific use case.

Related benchmarks:

random list (version: 0)

Comparing performance of: iterate all vs itrerate all 2

Created: 5 years ago by: Guest

Jump to the latest result

iterate all

itrerate all 2

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):