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testik228
(version: 0)
Comparing performance of:
spread vs assign
Created:
2 years ago
by:
Guest
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Tests:
spread
let t = {}; for(i=0; i<100; i++){ const q = {[(Math.random() + 1).toString(36).substring(7)]: (Math.random() + 1).toString(36).substring(7)} t = { ...t, ...q } } console.log(t)
assign
let t = {}; for(i=0; i<100; i++){ const q = {[(Math.random() + 1).toString(36).substring(7)]: (Math.random() + 1).toString(36).substring(7)} Object.assign(t, q); } console.log(t)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
spread
assign
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36
Browser/OS:
Chrome 119 on Mac OS X 10.15.7
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Test name
Executions per second
spread
1370.6 Ops/sec
assign
5112.6 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll do my best to break down the provided benchmark JSON and explain what's being tested, compared options, pros and cons, library usage, and special JS features. **Benchmark Overview** The provided JSON represents two individual test cases, "spread" and "assign", which measure the performance of JavaScript's spread operator (`...`) versus `Object.assign()` for creating a deep copy of an object. The benchmark is designed to simulate 100 iterations of this process, with random object properties added at each iteration. **Test Cases** 1. **Spread Operator ("spread")** * Benchmark Definition: The script creates an empty object `t` and then uses a `for` loop to iterate 100 times, adding new properties to the object using the spread operator (`...`) to merge with the existing object. * Pros: + More concise and expressive way of creating deep copies of objects. + Can handle nested objects more elegantly than `Object.assign()`. * Cons: + May be slower due to the overhead of parsing the `...` operator. 2. **Object.assign() ("assign")** * Benchmark Definition: The script creates an empty object `t` and then uses a `for` loop to iterate 100 times, adding new properties to the object using `Object.assign()` to merge with the existing object. * Pros: + Well-established, widely supported, and efficient way of creating deep copies of objects. + Less overhead than the spread operator due to the simplicity of the method call. * Cons: + May be less readable or maintainable compared to the spread operator. **Library Usage** In both test cases, no explicit libraries are used beyond what's built-in to JavaScript (e.g., `Object.assign()`). **Special JS Features** The benchmark uses a feature that's not commonly discussed: **Symbol Properties**. In the Benchmark Definition, you'll notice the use of `[(Math.random() + 1).toString(36).substring(7)]` as property names. These are generated using a cryptographically secure pseudorandom number generator to create unique symbol properties. This feature is used to simulate nested object structures and add more complexity to the benchmark. **Other Alternatives** While not explicitly mentioned, other ways to achieve similar results in this benchmark might include: * Using `Array.prototype.reduce()` instead of `for` loops. * Employing a custom implementation using recursion or bitwise operations to create the deep copies. * Utilizing libraries like Lodash's `cloneDeep()` function for creating deep copies. However, these alternatives would likely deviate from the original intent of measuring JavaScript's spread operator and `Object.assign()` performance.
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