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assign after allocate object vs re-use object 2
(version: 0)
Comparing performance of:
allocate vs reuse vs without object.assign (allocate) vs without object.assign (re-used)
Created:
5 years ago
by:
Registered User
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Script Preparation code:
var reused = { color: [1, 1, 1, 1], position: [1, 1], }; var map = new Map(); for (let i = 0; i < 1000000; i += 1) { map.set(`${i}`, { color: [1, 1, 1, 1], position: [1, 1], size: 99, // dummy key }); }
Tests:
allocate
for (let i = 0; i < 10000; i += 1) { const target = map.get(`${i}`); Object.assign(target, { color: [i, i, i, i], position: [i, i], }); }
reuse
for (let i = 0; i < 10000; i += 1) { const target = map.get(`${i}`); reused = { color: [i, i, i, i], position: [i, i], }; Object.assign(target, reused); }
without object.assign (allocate)
for (let i = 0; i < 10000; i += 1) { const target = map.get(`${i}`); const newObj = { color: [i, i, i, i], position: [i, i], }; target.color = newObj.color; target.position = newObj.position; }
without object.assign (re-used)
for (let i = 0; i < 10000; i += 1) { const target = map.get(`${i}`); reused = { color: [i, i, i, i], position: [i, i], }; target.color = reused.color; target.position = reused.position; }
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (4)
Previous results
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Test case name
Result
allocate
reuse
without object.assign (allocate)
without object.assign (re-used)
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Measuring the performance of different approaches to assign values to objects in JavaScript. **What's being tested:** The benchmark tests four different approaches to assign values to an object: 1. **Reusing the `reused` object**: Creating a single object with the desired colors and positions, and then reusing it to update multiple targets. 2. **Allocating a new object for each target**: Creating a new object for each target and assigning the desired colors and positions to it using `Object.assign`. 3. **Reusing an existing object without `Object.assign`**: Getting a reference to an existing object with the same structure, and then updating its properties by assigning new values. 4. **Without reusing any objects**: Creating a new object for each target and assigning the desired colors and positions directly to it. **Options comparison:** | Approach | Description | | --- | --- | | Reuse | Efficient, as only one object is created and reused across multiple targets. | | Allocate | Inefficient, as 1 million objects are created, each with a copy of the original data. | | No Assign | Less efficient than reuse, but still more efficient than allocate, since it avoids creating new objects. | | Without Assign (Reuse) | Similar to reuse, but without using `Object.assign`, which might be beneficial for older browsers or specific use cases. | **Pros and Cons:** * **Reuse**: Pros - Efficient, reduces memory allocation. Cons - Limited flexibility if the object structure changes. * **Allocate**: Pros - None. Cons - Creates 1 million objects, inefficient in terms of memory and performance. * **No Assign**: Pros - Avoids creating new objects, potentially beneficial for older browsers or specific use cases. Cons - Less efficient than reuse. * **Without Assign (Reuse)**: Similar to reuse, but without using `Object.assign`. This approach might be beneficial in certain scenarios. **Library usage:** The benchmark uses the `Map` data structure from the JavaScript Standard Library, which provides a way to store and retrieve key-value pairs efficiently. The `Map` object is used to create a large dataset of objects with unique keys. **Special JS feature or syntax:** None mentioned explicitly in the provided code or context. However, it's worth noting that the benchmark uses ES6+ features like arrow functions (`=>`) and template literals (`${i}`) for string interpolation. **Alternatives:** If you're looking for alternatives to this benchmark or want to explore other approaches, consider: * Using a JavaScript profiler to analyze memory allocation and object creation patterns. * Implementing a custom caching mechanism to optimize reusing objects. * Investigating the performance impact of using different data structures (e.g., arrays, objects) instead of `Map`. * Creating a benchmark for other aspects of JavaScript performance, such as parsing or garbage collection.
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