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Spread push vs forEach Push
(version: 0)
Benchmark.js
Comparing performance of:
forEach Push vs Spread push
Created:
2 years ago
by:
Guest
Go to the latest result
Tests:
forEach Push
var initialItems = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]; var newItems = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; newItems.forEach((item) => { initialItems.push(item); });
Spread push
var initialItems = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]; var newItems = [10, 11, 12, 13, 14, 15, 16, 17, 18, 19]; initialItems.push(...newItems)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
forEach Push
Spread push
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/123.0.0.0 Safari/537.36 Zaap3.6.8
Browser/OS:
Chrome 123 on Windows
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=517628" width="100%" height="500px"></iframe>
forEach Push
28.4M/s
Spread push
28.1M/s
View exact numbers
Test name
Executions per second
✓
forEach Push
28,418,514 Ops/sec
Spread push
28,143,704 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark and explain what's being tested, compared, and the pros and cons of each approach. **Benchmark Overview** The benchmark compares two approaches to merge two arrays: `forEach Push` and `Spread push`. The test creates two arrays, `initialItems` and `newItems`, with 10 elements each. The goal is to determine which approach is faster in terms of execution time. **Test Cases** There are two test cases: 1. **`forEach Push`**: This approach uses the `forEach` method to iterate over the `newItems` array, and then pushes each element into the `initialItems` array. 2. **`Spread push`**: This approach uses the spread operator (`...`) to merge the two arrays in a single operation. **Library Used** In both test cases, no specific library is used beyond built-in JavaScript functionality. **Special JS Feature/Syntax** The benchmark does not use any special JavaScript features or syntax that would require a deep understanding of modern JavaScript. However, it's worth noting that the `spread operator` is a feature introduced in ECMAScript 2015 (ES6), which was adopted by most modern browsers. **Comparison** Here's a summary of what's being compared: * **Number of executions per second**: Both test cases measure the number of times each array can be merged within one second. * **Performance comparison**: The benchmark aims to determine which approach is faster in terms of execution time. **Pros and Cons of Each Approach** **`forEach Push`**: Pros: * Easy to understand and implement * Works in older browsers that may not support the spread operator Cons: * May be slower due to the overhead of iterating over each element individually * More code is required to achieve the same result as `Spread push` **`Spread push`**: Pros: * Faster execution time, thanks to the optimized array merge operation * Less code required to achieve the same result as `forEach Push` Cons: * Requires support for the spread operator in older browsers * May be less intuitive for developers unfamiliar with this feature **Other Alternatives** If you're interested in exploring alternative approaches, here are a few options: * **`concat()` method**: You can use the `concat()` method to merge arrays, like this: `initialItems = initialItems.concat(newItems)`. However, this approach may be slower than both `forEach Push` and `Spread push`. * **`Array.prototype.reduce()` method**: You can also use the `reduce()` method to merge arrays, like this: `initialItems.reduce((acc, item) => acc.push(item), [])`. This approach is more functional programming-style but might not be as efficient as `Spread push`. In conclusion, the benchmark provides a simple yet effective way to compare two approaches to merging arrays in JavaScript. By understanding the pros and cons of each approach, developers can choose the best solution for their specific use case.
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