(function(cb){cb();})(()=>{});
(async function(){})();
--enable-precise-memory-info
flag.
Test case name | Result |
---|---|
callback | |
promise |
Test name | Executions per second |
---|---|
callback | 56458992.0 Ops/sec |
promise | 122156640.0 Ops/sec |
Let's break down the provided benchmark and explain what's being tested, compared, and some of the pros and cons associated with each approach.
Benchmark Overview
The benchmark is comparing two approaches to handle asynchronous code execution: traditional callbacks and Promises. The goal is to determine which approach performs better in terms of performance.
Options Compared
Pros and Cons
.then()
methods) and can be less intuitive for developers unfamiliar with promises.Library Used
None explicitly mentioned in the provided benchmark definition or HTML preparation code. However, if you were to implement this benchmark using a programming language that supports Promises (like JavaScript), the Promise library would typically include functions like Promise.resolve()
, .then()
, and .catch()
for handling asynchronous operations.
Special JS Feature
The benchmark uses an async/await syntax, which is a feature introduced in ECMAScript 2017 (ES7). Async/await allows you to write asynchronous code that looks and feels more synchronous. The async
keyword is used to declare an asynchronous function, and the await
keyword is used inside these functions to pause execution until a Promise resolves.
Other Alternatives
If you're looking for alternatives to callbacks and Promises, consider:
Keep in mind that these alternatives might require more complex setup and implementation compared to callbacks and Promises.
Benchmark Preparation Code
The provided Script Preparation Code is empty, which means the benchmark can be run directly without any modifications. The HTML Preparation Code is also empty, suggesting that no additional setup is required for the benchmark to execute.
When running this benchmark, MeasureThat.net will use different browsers (in this case, Chrome Mobile 107) and devices (Mobile Android 11) to execute each test case and report the results based on the number of executions per second.