Benchmark: Array concat, spread, push for one value

Tests:

Array.prototype.concat
let params = [ "hello", true, 7 ]; params = params.concat(1);
spread operator
let params = [ "hello", true, 7 ] params = [...params, 1]
Push
let params = [ "hello", true, 7 ] params.push(1)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Array.prototype.concat
spread operator
Push

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Let's break down the provided benchmark and explain what is being tested.

**Benchmark Definition**
The benchmark definition represents a specific JavaScript operation that is being measured. In this case, there are three test cases:

1. `Array.prototype.concat`: This test case measures the performance of concatenating an array with another value using the `concat()` method.
2. `spread operator`: This test case measures the performance of using the spread operator (`...`) to add a new value to an existing array.
3. `Push`: This test case measures the performance of adding a new value to an array using the `push()` method.

**Options Compared**
The benchmark is comparing three different approaches:

1. **Concatenation with `concat()`**: Using the `concat()` method to add a new value to the end of an array.
2. **Spread operator (`...`)**: Using the spread operator to create a new array by adding a new value to the existing array.
3. **Push()**: Using the `push()` method to add a new value to the end of an array.

**Pros and Cons**

1. **Concatenation with `concat()`**:
	* Pros: Simple, efficient, and widely supported.
	* Cons: Can be slower than other methods for large arrays due to the overhead of creating a new array.
2. **Spread operator (`...`)**:
	* Pros: Efficient and flexible, can create a new array without modifying the original one.
	* Cons: May have performance issues when dealing with very large arrays or objects.
3. **Push()**:
	* Pros: Fast, efficient, and widely supported.
	* Cons: Can be slower than other methods for small arrays due to the overhead of creating an intermediate array.

**Other Considerations**

1. **Performance**: The benchmark measures the performance of each approach in terms of execution speed per second (ExecutionsPerSecond).
2. **Browser and Platform Variability**: The benchmark results are specific to Firefox 79 on Ubuntu desktop, so it's essential to consider that other browsers and platforms might exhibit different performance characteristics.

**Special JS Features/Syntax**

None mentioned in the provided benchmark definition.

**Libraries Used**

None explicitly mentioned in the provided benchmark definition. However, some JavaScript engines (like V8) may have built-in optimizations or features that affect the execution speed of these operations.

If you're interested in exploring alternatives, here are a few options:

1. **Other JavaScript engines**: Benchmarks can be run on other JavaScript engines like WebKit (e.g., Safari), Microsoft Edge, or Node.js.
2. **Browser versions and platforms**: Running benchmarks on different browser versions and platforms can help identify platform-specific performance differences.
3. **Additional test cases**: Adding more test cases to the benchmark can provide a more comprehensive understanding of the performance characteristics of each approach.
4. **Multi-threaded benchmarks**: Conducting multi-threaded benchmarks can help identify performance improvements or bottlenecks in JavaScript engines that affect concurrent execution.

Feel free to ask if you'd like me to explain any of these alternatives further!

Related benchmarks:

Array concat, spread, push for one value (version: 0)

Comparing performance of: Array.prototype.concat vs spread operator vs Push

Created: 5 years ago by: Guest

Jump to the latest result

Array.prototype.concat

spread operator

Push

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):