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weather
(version: 0)
Comparing performance of:
object.keys vs array.find
Created:
7 years ago
by:
Guest
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Script Preparation code:
var obj = { '15': 1, '60': 2, '80': 3, '90': 4, '100': 9 }; var array= [ { rate: 15, weatherId: 1}, { rate: 60, weatherId: 2}, { rate: 80, weatherId: 3}, { rate: 90, weatherId: 4}, { rate: 100, weatherId: 9} ];
Tests:
object.keys
var a; var objIter = Object.keys(obj) for (const rate of objIter) { if ( 85 <= +rate) { a = obj[rate]; break; } }
array.find
var a = array.find(function(row){ return row.rate <= 85 });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
object.keys
array.find
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
I'll break down the provided benchmark definition and test cases, explaining what is tested, the pros and cons of different approaches, and other considerations. **Benchmark Definition:** The benchmark definition represents a JavaScript microbenchmark that tests two different ways to find an element in an array or object: 1. `object.keys` 2. `array.find` The script preparation code defines an object `obj` with key-value pairs, where the keys are numbers and the values are integers. It also creates an array `array` with objects containing a `rate` property and a `weatherId` property. **Script Preparation Code:** ```javascript var obj = { '15': 1, '60': 2, '80': 3, '90': 4, '100': 9 }; var array = [ { rate: 15, weatherId: 1 }, { rate: 60, weatherId: 2 }, { rate: 80, weatherId: 3 }, { rate: 90, weatherId: 4 }, { rate: 100, weatherId: 9 } ]; ``` **Html Preparation Code:** None The script preparation code defines two variables: `obj` and `array`. These variables are used in the benchmark definition. **Individual Test Cases:** There are two individual test cases: 1. **object.keys** ```javascript var objIter = Object.keys(obj) for (const rate of objIter) { if (85 <= +rate) { a = obj[rate]; break; } } ``` This test case uses the `Object.keys()` method to iterate over the keys of the `obj` object. It then checks if the key is greater than or equal to 85, and assigns the corresponding value to the variable `a`. If a match is found, the loop breaks. 2. **array.find** ```javascript var a = array.find(function(row) { return row.rate <= 85 }); ``` This test case uses the `Array.prototype.find()` method to find the first element in the `array` that satisfies the condition `row.rate <= 85`. The result is assigned to the variable `a`. **Test Results:** The latest benchmark result shows two test cases with different execution counts: 1. **object.keys**: ExecutionsPerSecond = 1211941.75 2. **array.find**: ExecutionsPerSecond = 13614391.0 **Pros and Cons of Different Approaches:** * `object.keys`: + Pros: Simple, easy to understand, and widely supported. + Cons: May be slower than using an array method like `find()`, as it involves iterating over the object's keys and then looking up the value in the original object. * `array.find()`: + Pros: More efficient than using `object.keys()`, as it only iterates over the elements of the array, not the object's keys. + Cons: May require additional dependencies (e.g., ES6+ syntax), and may be less familiar to developers who don't use arrays. **Other Considerations:** * The benchmark definition uses a simple data structure (`obj` and `array`) that is easy to understand. More complex data structures or algorithms might make the benchmark more difficult to analyze. * The test cases only check for equality, which might not cover all possible scenarios (e.g., checking for existence instead of equality). * The benchmark results are specific to Chrome 72 on a Macintosh with an Intel processor. **Alternatives:** Other alternatives to `object.keys()` and `array.find()` include: * Using `for...in` loops or `for...of` loops to iterate over the object's keys or array elements. * Using more advanced data structures, such as sets or maps, that might be faster for certain operations. * Using specialized libraries or frameworks that provide optimized implementations of common algorithms.
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