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.map.includes vs .find with shuffle
(version: 0)
Comparing performance of:
.map.includes vs .find
Created:
2 years ago
by:
Guest
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Script Preparation code:
var numberOfData = 1e3 data = []; for (let i = 0; i <= numberOfData; i++) { data[i] = { test: `my-${numberOfData - i}` }; } data = _.shuffle(data);
Tests:
.map.includes
let arrayIds = data.map((el) => el.test); for (let i = 0; i <= numberOfData; i++) { arrayIds.includes(`my-${numberOfData - i}`); }
.find
for (let i = 0; i <= numberOfData; i++) { data.find((el) => el.test === `my-${numberOfData - i}`); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
.map.includes
.find
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 and explain what is being tested. **Benchmark Overview** The benchmark compares two approaches to find elements in an array: `.map.includes` and `.find`. The test data consists of 1,000 objects with a "test" property, which contains a string value. **Options Compared** The two options being compared are: 1. `.map.includes`: This method returns `true` if the specified value is present in the mapped array. 2. `.find`: This method returns the first element that satisfies the provided condition. **Pros and Cons of Each Approach** **`.map.includes`**: Pros: * Efficient for large arrays, as it uses a single iteration over the data. * Can be faster due to its optimized implementation. Cons: * Requires additional memory allocation for creating the mapped array. * May have performance issues if the input array is very large or sparse. **`.find`**: Pros: * Does not require additional memory allocation. * Can be useful when you need to perform additional operations on the found element. Cons: * Typically slower than `.map.includes` due to the overhead of finding a single element in a large array. * May have performance issues if the input array is very large or sparse. **Other Considerations** * Both approaches use iteration over the data, which means they can benefit from optimized JavaScript engine implementations. * The benchmark's use of `_.shuffle(data)` suggests that the order of elements does not matter, and both options should perform similarly. **Library Used** The `_` library is used for shuffling the array data. It is a popular utility library that provides various functions for working with arrays, strings, and objects. **Special JavaScript Features or Syntax** There are no special JavaScript features or syntax used in this benchmark. The code uses standard JavaScript methods and syntax. **Alternative Benchmarks** Other alternatives to measure performance could include: * `Array.prototype.some()` instead of `.map.includes` * Using a different data structure, such as an object with multiple properties * Incorporating other factors that might affect performance, like sorting or filtering the array Keep in mind that these alternative benchmarks would require additional setup and modifications to the code.
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