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Spread operator vs apply - realistic
(version: 0)
Compare the differing ways you can call a function with arbitrary arguments dynamically
Comparing performance of:
spread vs apply
Created:
2 years ago
by:
Guest
Go to the latest result
Script Preparation code:
function test() { console.log(arguments[arguments.length - 1]); } var using = (new Array(5)).fill(null).map((e, i) => (i));
Tests:
spread
test(...using);
apply
test.apply(null, using)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
spread
apply
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/123.0.0.0 Safari/537.36
Browser/OS:
Chrome 123 on Mac OS X 10.15.7
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Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=515904" width="100%" height="500px"></iframe>
spread
384K/s
apply
381K/s
View exact numbers
Test name
Executions per second
✓
spread
383,634 Ops/sec
apply
381,037 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
The provided JSON represents a benchmark test case on MeasureThat.net, which compares the performance of two different ways to call a function with arbitrary arguments dynamically: the spread operator (`...`) and the `apply` method. **What is tested:** * The `test` function is defined in the Script Preparation Code section, which takes an array of arguments using the spread operator. * In the Html Preparation Code section, an empty array is created and mapped to generate an array of indices (`using` variable). * Two test cases are defined: + `spread`: Calls the `test` function with the `using` array as a single argument using the spread operator (`test(...using);`). + `apply`: Calls the `test` function with the `using` array as an array of arguments using the `apply` method (`test.apply(null, using)`). **Options compared:** * **Spread Operator (Rest Parameter)**: The spread operator is used to pass an array of values as separate arguments. In this case, it's used to call the `test` function with the `using` array. + Pros: Concise and easy to read. Allows for flexible argument passing. + Cons: May be slower than other methods due to the overhead of creating a new array. * **Apply Method**: The `apply` method is used to execute a function with an arbitrary number of arguments. In this case, it's used to call the `test` function with the `using` array as separate arguments. + Pros: Can be faster than other methods due to reduced overhead compared to creating a new array or using a spread operator. + Cons: May require more explicit code and be less intuitive for some developers. **Pros and Cons of different approaches:** * Using the spread operator: + Pros: Easy to read, concise, flexible argument passing. + Cons: May be slower due to array creation overhead. * Using the `apply` method: + Pros: Can be faster, reduced overhead compared to other methods. + Cons: Requires more explicit code, less intuitive for some developers. **Library and Special JS Features:** There is no library mentioned in the provided benchmark. However, it's worth noting that JavaScript does have several libraries and frameworks that provide additional functionality, such as `lodash` or `Ramda`, which might be used to implement the spread operator or other utility functions. As for special JavaScript features, there are none explicitly mentioned in this benchmark. **Other Alternatives:** * **Rest Parameter (es2015)**: This feature was introduced in ECMAScript 2015 and allows functions to accept a variable number of arguments using the syntax `function test(...using)`. * **Array.prototype.push.apply()**: Instead of using the spread operator, one could use the `push.apply()` method to pass an array as an argument. * **Function.prototype.call()**: Similarly, instead of using the `apply` method, one could use `Function.prototype.call()` to execute a function with an arbitrary number of arguments. These alternatives might be worth considering when optimizing code for performance or readability.
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