Benchmark: list push vs splice into the end of array

Script Preparation code:

l = 123;

Tests:

append
a = Array(l); a.push(1, 2, 3, 4, 5, 6);
splice
a = Array(l); a.splice(l,0,1,2,3,4,5,6);
concat
a = Array(l); a = a.concat([1,2,3,4,5,6]);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
append
splice
concat

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36

Browser/OS: Chrome 100 on Windows

View result in a separate tab

Test name	Executions per second
append	1152606.1 Ops/sec
splice	903532.1 Ops/sec
concat	926760.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmarking data and explain what's being tested.

**Benchmark Definition**

The benchmark is testing three different approaches to add elements to an array:

1. `append`: Using the `push` method to add elements to the end of the array.
2. `splice`: Using the `splice` method to insert elements at a specific position in the array.
3. `concat`: Using the `concat` method to concatenate an array with another array.

**Script Preparation Code**

The script preparation code initializes an array `a` and sets its length to 123 using the literal value `l = 123;`. This is likely done to ensure that the arrays being pushed/spliced/concatenated are of sufficient size, allowing for accurate performance comparisons.

**Library Usage**

In this benchmark, two libraries/libraries-like-constructs are used:

1. **Array methods**: The `push`, `splice`, and `concat` methods are used to manipulate the array.
	* These are native JavaScript methods, so no external library is required.
2. **Concatenation**: Although not explicitly mentioned as a separate library, the use of `concat` implies the use of an array-like data structure or a collection class that provides concatenation functionality.

**Browser-specific details**

The benchmark results show performance data for Chrome 100 on Windows desktop devices. The "RawUAString" field indicates the User Agent string returned by the browser, which can be used to identify specific browser versions and configurations.

**Performance Comparison**

The three test cases measure the time it takes to perform each operation:

1. `append`: Pushes elements to the end of the array using the `push` method.
2. `splice`: Inserts elements at a specific position in the array using the `splice` method.
3. `concat`: Concatenates an array with another array using the `concat` method.

The results show that:

* `append` is generally faster than both `splice` and `concat`.
* `splice` is slower than both `append` and `concat`, but still relatively fast compared to other operations.
* `concat` is slower than `append`, likely due to its overhead in creating a new array.

**Other Considerations**

When choosing between these approaches, consider the following:

* **Performance**: If speed is critical, using `push` or `concat` might be preferable over `splice`.
* **Memory usage**: Using `concat` can create additional memory allocations, which might be a concern in low-memory environments.
* **Array modifications**: Depending on the specific use case, modifying an array in-place (e.g., with `splice`) might be more efficient than creating a new array (e.g., with `push` or `concat`).
* **Browser support**: Some older browsers might not support certain methods (e.g., `push` vs. `concat`).

**Alternatives**

If you need to compare performance in other scenarios, consider the following:

1. **Other array operations**: Testing `forEach`, `map`, `filter`, or `reduce` can provide additional insights into JavaScript's array manipulation capabilities.
2. **Data structure comparisons**: Investigating performance differences between arrays, objects, linked lists, or other data structures can reveal optimization opportunities.
3. **Memory allocation and deallocation**: Analyzing the effects of memory allocation and deallocation on performance, especially in languages with garbage collection (e.g., JavaScript).
4. **Multithreading and parallelization**: Testing concurrency and parallelism strategies for array operations, such as using threads or worker processes.

Keep in mind that this benchmark is specific to array manipulation and might not be representative of all use cases.

Related benchmarks:

list push vs splice into the end of array (version: 0)

Comparing performance of: append vs splice vs concat

Created: 2 years ago by: Guest

Jump to the latest result

append

splice

concat

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

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