Benchmark: Evaluate Destructuring vs Assignment

Tests:

Destructuring
var list = []; for(var i=0; i<10000; i++) { const type = i % 2 === 1 ? 'cases' : 'non-case'; const newObj = { test: 'destructoring vs assigment', ...(type === 'cases' && {name}) } list.push(newObj); }
Assigment
var list = []; for(var i=0; i<10000; i++) { const type = i % 2 === 1 ? 'cases' : 'non-case'; const newObj = { test: 'destructoring vs assigment', name: type === 'cases' ? name: undefined, } list.push(newObj); }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Destructuring
Assigment

Fastest: N/A

Slowest: N/A

Latest run results:

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Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):

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Let's break down the provided benchmark and its options.

**Benchmark Definition**

The benchmark is designed to evaluate two different approaches for assigning properties to an object: destructuring assignment (`Destructuring`) and simple assignment (`Assigment`).

The script preparation code is empty, which means that the benchmark is focused solely on the JavaScript engine's execution speed differences between these two approaches.

**Test Cases**

There are two test cases:

1. **Destructuring**: In this case, a new object `newObj` is created with properties defined using destructuring assignment (`const newObj = { ... }`). The `name` property is conditionally assigned based on the value of `i % 2 === 1`.
2. **Assigment**: In this case, a new object `newObj` is created with properties defined using simple assignment (`const newObj = { ... }; newObj.name = type === 'cases' ? name : undefined;`). Again, the `name` property is conditionally assigned based on the value of `i % 2 === 1`.

**Options Compared**

The benchmark compares the execution speed of these two approaches:

* **Destructuring assignment**: Using the syntax `{ ... }` to define object properties.
* **Simple assignment**: Using the syntax `obj.property = value;` to assign values to object properties.

**Pros and Cons**

**Destructuring Assignment:**

Pros:

* Can be more readable and concise, especially when working with complex objects.
* Can reduce the amount of code needed to create objects.

Cons:

* May require additional syntax parsing overhead by the JavaScript engine.
* Can lead to " unexpected" behavior if not used carefully (e.g., using `const { prop: 'value' }`).

**Simple Assignment:**

Pros:

* Typically faster and more lightweight, as it requires less syntactic overhead.
* Easier to understand and debug, especially for novice developers.

Cons:

* Can result in more verbose code, which can make it harder to read and maintain.
* May require additional assignment operations (e.g., `obj.prop = 'value';`).

**Other Considerations**

The benchmark results may also be influenced by other factors, such as:

* Object literal syntax complexities (e.g., nested objects, arrays).
* JavaScript engine optimizations (e.g., tree shaking, code splitting).
* System load and resource availability.

**Library and Special JS Features**

There are no libraries mentioned in the benchmark definition. However, it's worth noting that some modern JavaScript engines may use various techniques to optimize object assignment, such as:

* "Object literal caching" to reduce overhead.
* "Property lookup optimization" to improve performance.

No special JS features or syntax are used in this benchmark.

**Alternatives**

Other alternatives for evaluating the performance of object assignment methods include:

* Using a different data structure (e.g., arrays, sets).
* Comparing performance with different JavaScript engines or versions.
* Measuring memory usage and allocation during object creation.

Keep in mind that these alternatives may require additional setup and testing to ensure accurate results.

Related benchmarks:

Evaluate Destructuring vs Assignment (version: 3)

Comparing performance of: Destructuring vs Assigment

Created: 4 years ago by: Registered User

Jump to the latest result

Destructuring

Assigment

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

No previous run results

Autogenerated LLM Summary (model llama3.2:3b, generated one year ago):