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for in vs Object.keys sort
(version: 0)
Comparing performance of:
for in vs Object keys sorted
Created:
4 years ago
by:
Registered User
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Script Preparation code:
const alpha = 'abcdefghijklmnopqrstuvwxyz'; const keys = []; for( let i = 0; i < alpha.length; i++ ) { for( let j = 0; j < alpha.length; j++ ) { for( let k = 0; k < alpha.length; k++ ) { keys.push( alpha[ i ] + alpha[ j ] + alpha[ k ] ); } } } function shuffle(array) { let currentIndex = array.length, randomIndex; // While there remain elements to shuffle... while (currentIndex != 0) { // Pick a remaining element... randomIndex = Math.floor(Math.random() * currentIndex); currentIndex--; // And swap it with the current element. [array[currentIndex], array[randomIndex]] = [ array[randomIndex], array[currentIndex]]; } return array; } function fill( obj ) { shuffle( keys ).forEach( key => { obj[ key ] = key; } ); return obj; }
Tests:
for in
const obj1 = fill( {} ); const obj2 = fill( {} ); let matches = 0; for( const key in obj1 ) { if( obj1[ key ] === obj2[ key ] ) matches++; } console.log( matches );
Object keys sorted
const obj1 = fill( {} ); const obj2 = fill( {} ); const obj1Keys = Object.keys( obj1 ).sort(); const obj2Keys = Object.keys( obj2 ).sort(); const numKeys = obj1Keys.length; let matches = 0; for( let i = 0; i < numKeys; i++ ) { if( obj1[ obj1Keys[ i ] ] === obj2[ obj2Keys[ i ] ] ) matches++; } console.log( matches );
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
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Test case name
Result
for in
Object keys sorted
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's being tested, compared, and considered. **Benchmark Overview** The benchmark measures the performance of two approaches for iterating over an object in JavaScript: `for...in` loop and using the `Object.keys()` method with sorting. The benchmark generates a large number of objects with random keys and values, shuffles them, and then compares the contents of each object to determine if they match. **Comparison Options** The benchmark compares two approaches: 1. **For...in Loop**: This approach uses a traditional `for...in` loop to iterate over the object's properties. 2. **Object.keys() with Sorting**: This approach uses the `Object.keys()` method to get an array of the object's property names, sorts it, and then iterates over the sorted array using another `for...in` loop. **Pros and Cons** **For...in Loop:** * Pros: + Generally faster than `Object.keys()` with sorting due to its native optimization. + Can be more efficient for small objects or when iteration is only needed once. * Cons: + Less predictable behavior due to the dynamic nature of the `for...in` loop. + May require additional work to ensure accurate matching, especially if the object's structure changes. **Object.keys() with Sorting:** * Pros: + More predictable and consistent behavior due to the deterministic nature of sorting. + Easier to reason about and debug, as the iteration order is explicit. * Cons: + Generally slower than the `for...in` loop due to the overhead of sorting. + May require more memory allocation for the sorted array. **Other Considerations** The benchmark uses a library called `shuffle()` to randomize the object's property names. This library is not a built-in JavaScript function, but rather a custom implementation that shuffles an array in place. Additionally, the benchmark assumes that the object's values are comparable (i.e., can be compared using `===`). If this assumption does not hold for the specific use case, the comparison may produce incorrect results or errors. **Alternatives** Other alternatives to these two approaches include: * Using `Object.entries()` and iterating over the array of key-value pairs. * Utilizing a data structure like a hash table or trie for faster lookups. * Implementing a custom iterator using a `for...of` loop or a recursive function. However, the `for...in` loop and `Object.keys() with Sorting` approaches are commonly used in JavaScript due to their simplicity and performance characteristics.
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