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needless async impact
(version: 0)
Comparing performance of:
straight vs async
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
function test(id){ let time = Date.now() + id; return new Promise(resole=>setTimeout(0,time)) }
Tests:
straight
(()=>test(1))().then(console.log)
async
(async()=>test(1))().then(console.log)
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
straight
async
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 explanations for you. **Benchmark Definition** The benchmark definition is composed of two parts: Script Preparation Code and Html Preparation Code. However, in this case, both are empty. The benchmark script itself is defined in the Benchmark Definition json, which contains three properties: 1. **Name**: This property simply identifies the benchmark. 2. **Description**: This property provides a brief description of the benchmark, but it's null in this case. 3. **Script Preparation Code** (or "Benchmark Script"): This code defines the JavaScript function `test(id)`. The function takes an `id` parameter and returns a new Promise that resolves after a timeout of `Date.now() + id` milliseconds. The Html Preparation Code is also empty, which means no HTML code is prepared before running the benchmark script. **Options Compared** In this benchmark, two options are compared: 1. **Straight**: This option executes the benchmark script synchronously using `test(1)`. The Promise returned by `test(1)` is resolved when the timeout expires. 2. **Async**: This option executes the benchmark script asynchronously using `async` and `await`. The `async` keyword makes the function asynchronous, and `await` pauses the execution until the Promise resolves. **Pros and Cons** **Straight:** Pros: * Simpler to understand and implement * Less memory-intensive due to no promise handling overhead Cons: * May introduce slower performance due to blocking calls * Can lead to CPU-bound processes consuming more resources **Async:** Pros: * More efficient, as asynchronous execution doesn't block the main thread * Can handle I/O-bound operations better, leading to faster overall performance Cons: * Requires additional code to handle promise handling and errors * May introduce higher memory usage due to creating new promises and context switches **Other Considerations:** In this benchmark, it's essential to note that both options are comparing the execution time of a single Promise resolve operation. The difference between these two options might be negligible in terms of overall performance, but it demonstrates how asynchronous programming can improve handling I/O-bound operations. **Library Usage (None)** There is no library usage in this benchmark. However, the `Date.now()` function is used to get the current timestamp, which is a built-in JavaScript function. **Special JS Features/Syntax** The following special feature is present: * **Await**: The `async` keyword and `await` inside the test script enable asynchronous execution. Keep in mind that this benchmark is designed to measure the performance impact of using async/await versus synchronous execution. As such, it's essential to consider the context in which this benchmark will be used and adjust expectations accordingly. **Alternatives** Other alternatives for measuring JavaScript performance could include: * **Benchmarking libraries**: Such as Benchmark.js or WebPageTest * **Native performance tools**: Like Chrome DevTools' Profiler or Node.js Inspector * **System-level profiling**: Using tools like Intel VTune Amplifier or Google's Perfometer Each of these alternatives can provide more detailed and accurate results, but might require additional setup and expertise.
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