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(version: 0)
Comparing performance of:
Map vs Entries with array vs Entries no array
Created:
4 years ago
by:
Guest
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Tests:
Map
let prices = { banana: 1, orange: 2, meat: 4, }; let doublePrices = Object.fromEntries( // convert prices to array, map each key/value pair into another pair // and then fromEntries gives back the object Object.entries(prices).map(entry => [entry[0], entry[1] * 2]) );
Entries with array
let prices = { banana: 1, orange: 2, meat: 4, }; let doublePrices = {} for (const [key, value] of Object.entries(prices)) { doublePrices[key] = value }
Entries no array
let prices = { banana: 1, orange: 2, meat: 4, }; let doublePrices = {} Object.entries(prices).forEach((price) => { doublePrices[price[0]] = price[1] })
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
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Test case name
Result
Map
Entries with array
Entries no array
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 benchmark and explain what is being tested. **Benchmark Definition** The benchmark definition is a JSON object that contains information about the benchmark. However, in this case, it only contains three properties: * "Name": The name of the benchmark, which is "Create new". * "Description": An empty string, indicating that there is no description for this benchmark. * "Script Preparation Code" and "Html Preparation Code": Both are empty strings, indicating that no preparation code is needed. **Test Cases** There are three test cases: 1. **Map** The test case uses the `map()` function to create a new object with double values from an existing object. The benchmark definition is: ```javascript let prices = { banana: 1, orange: 2, meat: 4 }; let doublePrices = Object.fromEntries( // convert prices to array, map each key/value pair into another pair // and then fromEntries gives back the object Object.entries(prices).map(entry => [entry[0], entry[1] * 2]) ); ``` The purpose of this test case is to measure the performance of using the `map()` function with an array-like object (in this case, an object with `entries()` method). 2. **Entries with Array** The test case uses a traditional for loop and the `Object.entries()` method to create a new object with double values from an existing object. The benchmark definition is: ```javascript let prices = { banana: 1, orange: 2, meat: 4 }; let doublePrices = {}; for (const [key, value] of Object.entries(prices)) { doublePrices[key] = value; } ``` The purpose of this test case is to measure the performance of using a traditional for loop with the `Object.entries()` method. 3. **Entries no Array** The test case uses the `forEach()` method and the `Object.entries()` method to create a new object with double values from an existing object. The benchmark definition is: ```javascript let prices = { banana: 1, orange: 2, meat: 4 }; let doublePrices = {}; Object.entries(prices).forEach((price) => { doublePrices[price[0]] = price[1]; }); ``` The purpose of this test case is to measure the performance of using the `forEach()` method with the `Object.entries()` method. **Library** None, as all test cases use built-in JavaScript methods and objects. **Special JS Feature or Syntax** There are no special JavaScript features or syntax used in these test cases. However, it's worth noting that some browsers may optimize certain operations differently due to their internal implementations. **Other Considerations** * The benchmark uses a small number of iterations to measure performance, which is common in microbenchmarking. * The benchmark runs on the client-side (in a browser), which can introduce additional overhead compared to running benchmarks on the server-side. * The test cases use a simple object with three properties, which is likely chosen for its simplicity and minimalism. **Alternatives** There are several alternatives for creating new objects in JavaScript, including: * Using `Object.create()` or `Object.assign()` * Using a library like Lodash * Using a different approach, such as using a Map or a Set However, the test cases above focus on using built-in methods and objects, which is likely chosen to keep the benchmark simple and focused on the performance of those specific operations.
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