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Memory Tests
(version: 0)
Memory Tests JS
Comparing performance of:
Create vs Reuse
Created:
2 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
const arr = [...Array(1000).keys()].map(() => Math.floor(Math.random() * 10))
Tests:
Create
const arr = [...Array(1000).keys()].map(() => Math.floor(Math.random() * 10)) const result = []; for (let i = 0; i < arr.length; i++) { result.push({ x: arr[i], y: arr[i] + 1 }); }
Reuse
const arr = [...Array(1000).keys()].map(() => Math.floor(Math.random() * 10)) const result = []; const obj = { x: 0, y: 0 }; for (let i = 0; i < arr.length; i++) { obj.x = arr[i]; obj.y = arr[i] + 1; result.push(obj); }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Create
Reuse
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided JSON and benchmark code to understand what is being tested. **Benchmark Overview** The benchmark measures the performance of JavaScript in two test cases: "Create" and "Reuse". The goal is to compare how efficiently JavaScript can create or reuse objects with similar properties. **Script Preparation Code** The script preparation code generates an array of 1000 random numbers between 0 and 9, which will be used as the basis for creating or reusing objects. This code is common to both test cases. **Test Cases** 1. **Create**: In this test case, a new object is created for each element in the array. The object has two properties: `x` and `y`, where `x` is set to the current array element and `y` is set to `x + 1`. This creates a new object with different values for each iteration. 2. **Reuse**: In this test case, an existing object is reused and its properties are updated. The same object is created once, and then its `x` property is updated to the current array element, while the `y` property remains unchanged (initially set to 0). This reuses the same object instance with different values for each iteration. **Library Usage** There is no explicit library usage mentioned in the benchmark code. However, it's worth noting that some modern JavaScript engines may use certain libraries or internal functions under the hood to optimize performance, such as caching or memoization. **Special JavaScript Features/Syntax** There are a few special features used in this benchmark: * **Spread syntax (`...`)**: Used to create an array of 1000 random numbers. * **Template literals (`${}`)**: Used to assign values to the `x` and `y` properties of the objects. * **Object literal syntax**: Used to define the structure of the objects being created or reused. **Pros and Cons of Different Approaches** 1. **Create**: This approach creates a new object for each iteration, which can be efficient in terms of memory usage but may incur additional overhead due to object creation. 2. **Reuse**: Reusing an existing object instance with updated properties can be more memory-efficient than creating a new object each time. However, this approach requires careful management of the object's state and may introduce additional complexity. **Other Considerations** * The benchmark only measures performance for JavaScript execution on a single thread or core. In a multi-core or parallel environment, different browsers or engines might exhibit varying performance characteristics. * The use of random numbers in the array generation adds noise to the results, making it challenging to isolate specific performance bottlenecks. **Alternative Benchmarks** Other benchmarking approaches could include: 1. **Array creation**: Measure the time it takes to create a large array from scratch (e.g., `new Array(1000000).fill(0)`). 2. **Object literal optimization**: Benchmark the performance of creating objects with varying levels of complexity, such as nested properties or arrays within objects. 3. ** Garbage collection**: Measure the impact of different garbage collection strategies on performance. These alternative benchmarks would help to further understand the intricacies of JavaScript performance and identify potential bottlenecks in specific scenarios.
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