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Extract data from array - map() vs JSON.stringify() vs for loop
(version: 1)
Comparing performance of:
map() vs JSON.stringify() vs ForLoop
Created:
4 years ago
by:
Registered User
Jump to the latest result
Script Preparation code:
var data = [ {name: "anonystick", sex:1, age: 42, phone: 03543214564}, {name: "medium", sex:0, age: 45, phone: 0321452145}, {name: "subrss", sex:1, age: 41, phone: 03789456785} ]
Tests:
map()
data.map(el => { return {name: el.name, sex: el.sex} })
JSON.stringify()
JSON.parse(JSON.stringify(data, ["name","sex"]))
ForLoop
var new_data = []; for (var i=0, new_data=[]; i<data.length; i++) { new_data.push({ name: data[i].name, sex: data[i].age }); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (3)
Previous results
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Test case name
Result
map()
JSON.stringify()
ForLoop
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
one month ago
)
User agent:
Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) SamsungBrowser/29.0 Chrome/136.0.0.0 Mobile Safari/537.36
Browser/OS:
Chrome Mobile 136 on Android
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Test name
Executions per second
map()
27054288.0 Ops/sec
JSON.stringify()
660882.4 Ops/sec
ForLoop
14369555.0 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the benchmark and analyze what's being tested. **Benchmark Overview** The benchmark compares three approaches for extracting data from an array: 1. Using the `map()` method 2. Serializing the array to a string using `JSON.stringify()` 3. Iterating over the array using a traditional `for` loop **Options Comparison** Each option has its pros and cons: * **`map()`**: Pros: + Efficient and concise way to transform data. + Creates a new array with transformed elements, leaving the original array unchanged. + Can be faster than other approaches for large datasets. * Cons: + Requires modern JavaScript engines that support `map()`. + May not work as expected in older browsers or environments. * **`JSON.stringify()`**: Pros: + Simple and widely supported way to serialize data. + Works across most modern browsers and environments. * Cons: + Converts the entire array to a string, which may be slower than other approaches for large datasets. + Can lead to loss of precision or data types when parsing back the JSON string. * **`For Loop`**: Pros: + Widely supported and works across most modern browsers and environments. + Can be more intuitive for developers familiar with traditional `for` loops. * Cons: + Often slower than other approaches, especially for large datasets. + More verbose code can lead to errors or performance issues. **Library Used** In this benchmark, the `JSON` library is used implicitly through the `JSON.stringify()` method. This library provides a way to parse and generate JSON data in JavaScript. **Special JS Feature/Syntax** None of the test cases explicitly use special JavaScript features or syntax beyond what's standard for modern browsers. However, it's worth noting that some JavaScript engines may have differences in how they execute certain code paths, which could affect benchmark results. **Benchmark Preparation Code** The script preparation code defines an array `data` with three objects, each containing `name`, `sex`, and `age` properties. This data is used as input for the benchmark tests. **Other Alternatives** If you're looking for alternative approaches to extract data from an array, consider these options: * Using `forEach()` instead of `map()`: While similar to `map()`, `forEach()` doesn't return a new array but rather executes a callback function on each element. * Using `reduce()` instead of `for` loop: Like `map()`, `reduce()` transforms data in an array, but it's often more concise and expressive than a traditional `for` loop. * Using modern JavaScript features like `Array.prototype.flatMap()` (supported since ES6): This method can simplify the transformation process compared to `map()` or `forEach()`.
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