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Array of Values from Map vs object types
(version: 0)
Comparing performance of:
Array.from Map values vs Spread Map values vs Object.values object
Created:
5 years ago
by:
Guest
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Script Preparation code:
var mapCase = new Map([ [1, "one"], [2, "two"], [3, "three"], ["four", 4], ["five", 5], ["six", { hello: "world" }] ]); var objCase = { 1: "one", 2: "two", 3: "three", "four": 4, "five": 5, "six": { hello: "world" }, }
Tests:
Array.from Map values
var arr = Array.from(mapCase.values())
Spread Map values
var arr = [...mapCase.values()]
Object.values object
var arr = Object.values(objCase)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
Array.from Map values
Spread Map values
Object.values object
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark and explain what is being tested. The test cases are designed to compare three approaches for accessing values from a Map or an object: 1. **Array.from(Map values)**: This approach uses the `Array.from()` method to create an array of values from the Map. Specifically, it calls `mapCase.values()`, which returns an iterator over the key-value pairs in the Map. 2. **Spread Map values**: This approach uses the spread operator (`...`) to create an array of values from the Map. It calls `mapCase.values()` and then uses the spread operator to convert the iterator into an array. 3. **Object.values object**: This approach directly accesses the values of the object using the `Object.values()` method. In this case, it's accessing `objCase`. Now, let's discuss the pros and cons of each approach: **Array.from(Map values)** Pros: * More explicit and readable than spread operator * Can be used when working with older browsers or environments that don't support the spread operator Cons: * Might be slower due to the overhead of converting an iterator into an array using `Array.from()` * Requires calling `mapCase.values()` explicitly, which might incur additional overhead **Spread Map values** Pros: * Concise and easy to read * Can take advantage of optimizations in modern browsers that support the spread operator Cons: * Might be less readable for those unfamiliar with the spread operator * May not work in older browsers or environments that don't support the spread operator **Object.values object** Pros: * Directly accesses the values without any additional overhead * Easy to read and understand Cons: * Requires access to the `Object.values()` method, which might not be available in older browsers or environments * Less explicit than using `Array.from()` or the spread operator Other considerations: * The benchmark is run on a Linux desktop with Chrome 85 as the browser. This might affect the results due to platform-specific optimizations or bugs. * The test cases are executed at different execution rates (100,411,177, 417,136,365, and 276,409,250 executions per second). This suggests that some browsers or environments have a bias towards one of the approaches. In terms of libraries used in this benchmark: * None. This is a pure JavaScript test case. If you're using special JS features or syntax, none are explicitly mentioned in this benchmark. To create your own benchmarks like this, you can follow these general steps: 1. Identify the scenario or problem you want to measure. 2. Choose the relevant libraries and frameworks to use (if any). 3. Write a clear and concise description of the test case. 4. Prepare the necessary code snippets for each approach. 5. Determine the relevant benchmarking metrics (e.g., execution rate, memory usage, etc.). Keep in mind that creating benchmarks requires careful consideration of factors like platform-specific optimizations, browser bugs, and execution rates. As alternatives to this specific benchmark, you could consider measuring other aspects of JavaScript performance, such as: * Memory allocation and deallocation * Garbage collection overhead * Function call optimization * Loop unrolling or vectorization These benchmarks can provide valuable insights into different areas of JavaScript performance and help developers optimize their code for better performance.
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