Benchmark: Slice v splice - MeasureThat.net

Script Preparation code:

var list = [];
for (var i = 0; i < 1000 * 1000; i++) {
  list.push(i);
}

Tests:

Slice
list.slice(25, 30);
Splice
list.splice(25, 30);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Slice
Splice

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.

**What is being tested?**

The provided JSON represents two JavaScript microbenchmarks, `Slice` and `Splice`, which test the performance of these two methods on arrays in JavaScript.

**Options compared:**

Two options are being compared:

1. `list.slice(25, 30)`: This method creates a new array containing elements from index 25 to 30 (exclusive) of the original array.
2. `list.splice(25, 30)`: This method modifies the original array by removing or replacing elements at indices 25 to 30.

**Pros and Cons:**

* **`slice()`**:
	+ Pros:
		- Creates a new array, avoiding mutations on the original data.
		- Can be more efficient if the original array is large, as it avoids modifying the array's internal state.
	+ Cons:
		- Creates a new array with a potentially large size (30 elements in this case), which can lead to memory allocation overhead.
* **`splice()`**:
	+ Pros:
		- Modifies the original array in-place, avoiding additional memory allocations.
	+ Cons:
		- Modifies the original array, which can be slower and more resource-intensive for large datasets.

**Library usage:**

There is no explicit library mentioned in the benchmark definition. However, it's likely that the `Array.prototype.slice()` and `Array.prototype.splice()` methods are being tested, as they are built-in JavaScript methods.

**Special JS features or syntax:**

None of the special JS features or syntax (e.g., async/await, classes, modules) are explicitly mentioned in the benchmark definition. However, it's worth noting that modern JavaScript engines often provide additional optimizations and features for specific use cases, such as performance-oriented array methods like `slice()` and `splice()`.

**Other alternatives:**

For testing array operations, you might consider other approaches:

1. **`Array.prototype.map()`, `Array.prototype.filter()`, or `Array.prototype.reduce()`**: These methods can be used to create new arrays with specific subsets of data, but they may have different performance characteristics compared to `slice()` and `splice()`.
2. **Native array operations (e.g., `new Int32Array()`, `new Float64Array()`)**: These methods provide direct access to the underlying buffer of an array, allowing for fine-grained control over memory allocation and access patterns.
3. **External library or framework implementations**: Depending on your specific use case, you might explore alternative implementations of array operations using external libraries or frameworks (e.g., lodash, Ramda) that provide optimized performance and feature sets.

Keep in mind that the choice of approach ultimately depends on the specific requirements and constraints of your project.

Related benchmarks:

Slice v splice (version: 0)

Comparing performance of: Slice vs Splice

Created: 6 years ago by: Guest

Jump to the latest result

Slice

Splice

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):