Benchmark: Slice vs Spread & Pop

Script Preparation code:

var arr = [1, 3, 5, 11, 13];

Tests:

Slice
arr.slice(0, -1);
Spread & Pop
[...arr].pop();

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Slice
Spread & Pop

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):

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Let's dive into the world of MeasureThat.net and explore what's being tested in this benchmark.

**Overview**

The provided JSON represents a JavaScript microbenchmark, where two test cases are compared: `Slice` and `Spread & Pop`. The goal is to measure the performance difference between these two approaches on the same dataset.

**Test Cases**

1. **Slice**: This test case uses the `slice()` method to create a new array that includes all elements of the original array except the last one.
2. **Spread & Pop**: This test case uses the spread operator (`...`) to create a copy of the array, and then uses the `pop()` method to remove the last element from the copied array.

**Options Compared**

The two test cases are comparing the following options:

* **Memory allocation**: Which approach requires less memory to execute?
* **Execution time**: Which approach is faster in terms of execution time?

**Pros and Cons**

**Slice**

Pros:

* Can be more efficient in terms of memory allocation, as it only creates a new array reference without copying the entire array.
* Can be faster for large datasets, as it avoids creating an intermediate array.

Cons:

* May cause issues if the original array is modified after the `slice()` call, as this can affect subsequent operations on the slice.
* Can be less intuitive for developers who are not familiar with array manipulation.

**Spread & Pop**

Pros:

* Creates a copy of the original array, which can help avoid side effects and unexpected behavior when modifying the copied array.
* Can be more readable and maintainable for developers who prefer to use the spread operator.

Cons:

* May require more memory allocation than the `slice()` approach, as it creates an intermediate array.
* Can be slower for large datasets, as it involves creating a new array reference and then removing elements from it.

**Library Usage**

There is no explicit library usage in these test cases. However, both approaches rely on built-in JavaScript methods (`slice()`, `pop()`, and the spread operator).

**Special JS Feature/Syntax**

The use of the spread operator (`...`) is a modern JavaScript feature introduced in ES2015 (ECMAScript 2015). This syntax allows for creating new arrays by copying elements from an existing array. The `pop()` method, on the other hand, is a standard Array method that has been part of the language since its inception.

**Other Considerations**

* **Browser differences**: The benchmark results are specific to Chrome 104 running on Windows Desktop. Other browsers or platforms may exhibit different performance characteristics.
* **Dataset size**: The provided dataset is relatively small (5 elements). For larger datasets, the performance difference between these approaches may become more pronounced.
* **Additional factors**: There might be other factors that affect the performance of these test cases, such as caching, optimization, or specific implementation details in the browser.

**Alternatives**

If you're interested in exploring alternative approaches to this benchmark, some options could include:

* Using a different array manipulation method, such as `forEach()` or `map()`.
* Comparing the performance of different languages (e.g., Node.js, TypeScript) for executing these test cases.
* Investigating the impact of different browser features or extensions on the performance of these test cases.

Keep in mind that each alternative may introduce new complexities and variables that affect the outcome of the benchmark.

Related benchmarks:

Slice vs Spread & Pop (version: 0)

Comparing performance of: Slice vs Spread & Pop

Created: 4 years ago by: Guest

Jump to the latest result

Slice

Spread & Pop

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):