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test 123123
(version: 0)
Comparing performance of:
for + push vs for + spread operator vs map
Created:
4 years ago
by:
Guest
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Tests:
for + push
var params = [ {doc: {id: 1, coordinate: "a"}}, {doc: {id: 2, coordinate: "b"}}, {doc: {id: 3, coordinate: "c"}}, {doc: {id: 4, coordinate: "d"}}, {doc: {id: 5, coordinate: "e"}}, ]; var results1 = []; var results2 = []; for (i = 0; i < params.length; i++) { var element = params[i]; results1.push(element.doc); results2.push({geometry: element.doc.coordinate}); }
for + spread operator
var params = [ {doc: {id: 1, coordinate: "a"}}, {doc: {id: 2, coordinate: "b"}}, {doc: {id: 3, coordinate: "c"}}, {doc: {id: 4, coordinate: "d"}}, {doc: {id: 5, coordinate: "e"}}, ]; var results1 = []; var results2 = []; for (i = 0; i < params.length; i++) { var element = params[i]; results1 = [...results1, element.doc]; results2 = [...results2, {geometry: element.doc.coordinate}]; }
map
var params = [ {doc: {id: 1, coordinate: "a"}}, {doc: {id: 2, coordinate: "b"}}, {doc: {id: 3, coordinate: "c"}}, {doc: {id: 4, coordinate: "d"}}, {doc: {id: 5, coordinate: "e"}}, ]; var results1 = params.map(element => element.doc); var results2 = params.map(element => {geometry: element.doc.coordinate});
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Suite status:
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Test case name
Result
for + push
for + spread operator
map
Fastest:
N/A
Slowest:
N/A
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definitions and test cases. **Overview** The benchmark measurements are comparing three different approaches to iterating over an array of objects: 1. **For loop with push**: Using a traditional `for` loop with the `push()` method to add elements to two separate arrays. 2. **For loop with spread operator**: Using a traditional `for` loop with the spread operator (`...`) to create new arrays from the original array and its elements. 3. **Map function**: Using the `map()` function to create new arrays by applying a transformation function to each element of the original array. **Options comparison** The three approaches differ in their performance characteristics: * **For loop with push**: This approach is generally slower than the other two, as it involves iterating over the array and adding elements to separate arrays using `push()`. * **For loop with spread operator**: This approach is faster than the traditional `for` loop with `push()`, but slower than the `map()` function. The spread operator provides a more efficient way to create new arrays by copying the elements. * **Map function**: The `map()` function is generally the fastest approach, as it allows the JavaScript engine to optimize the iteration and creation of new arrays in parallel. **Pros and Cons** Here are some pros and cons for each approach: * **For loop with push**: + Pros: Easy to understand and implement. + Cons: Slower than other approaches due to the use of `push()` and separate array operations. * **For loop with spread operator**: + Pros: Faster than traditional `for` loops, but slower than `map()`. + Cons: Requires understanding of the spread operator syntax. * **Map function**: + Pros: Fastest approach, allowing for optimization by the JavaScript engine. + Cons: Requires understanding of the `map()` function and its transformation capabilities. **Libraries and special features** In this benchmark, there are no external libraries used, but it does rely on built-in JavaScript features like `map()`, `for` loops, and the spread operator (`...`). There is also no special syntax or features mentioned in the benchmark definition. **Alternatives** Other approaches that could be considered for comparison include: * **Array.prototype.forEach()**: A more concise alternative to traditional `for` loops. * **Arrow functions**: Could potentially be used instead of the `map()` function, but may not provide the same performance benefits due to the JavaScript engine's optimization capabilities. * **Closures or functions with higher-order functions**: Could be used as alternatives to traditional `for` loops and `push()`, but would likely require additional setup and understanding. Keep in mind that these alternative approaches may have different performance characteristics and requirements, making them less suitable for this specific benchmark.
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