Benchmark: object-update-assign-2

Script Preparation code:

var obj = {
    x: 'x',
    y: 'y',
    z: 'z',
    xx: 'x',
    yy: 'y',
    zz: 'z',
    xxx: 'x',
    yyy: 'y',
    zzz: 'z',
}

Tests:

Object.assign
obj = Object.assign(obj, {'vid': 'vid'}); obj = Object.assign(obj, {'bcd': 'bcd'}); obj = Object.assign(obj, {'xyz': 'xyz'});
direct assign
obj['vid'] = 'vid' obj['bid'] = 'bcd' obj['xyz'] = 'xyz'

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object.assign
direct assign

Fastest: N/A

Slowest: N/A

Latest run results:

No previous run results

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

LLMs can make mistakes. Check important info.

Let's dive into the world of JavaScript microbenchmarks and explore what's being tested in this specific benchmark.

**Benchmark Overview**

The `object-update-assign-2` benchmark is a test that evaluates the performance of two different approaches to update object properties:

1. Using the `Object.assign()` method
2. Directly assigning values to object properties using square brackets (`obj['property'] = 'value'`)

**Options Being Compared**

Two options are being compared in this benchmark:

* Option 1: `Object.assign()`
* Option 2: Direct assignment using square brackets (`obj['property'] = 'value'`)

**Pros and Cons of Each Approach**

**Option 1: Object.assign()**

Pros:

* More concise and readable code
* Less prone to errors, as it creates a shallow copy of the object being assigned to
* Can handle nested objects

Cons:

* May create unnecessary copies of objects if not used carefully
* Can be slower than direct assignment due to the overhead of creating a new object

**Option 2: Direct Assignment**

Pros:

* Can be faster, as it only updates existing properties without creating new ones
* Less memory usage, as no additional object is created

Cons:

* May lead to errors if not used carefully (e.g., assigning to non-existent properties)
* Code may become less readable and more prone to typos

**Library Used**

In this benchmark, the `Object` library is being used. The `Object` library provides a set of methods for working with objects, including `assign()`, which is used in Option 1.

**Special JS Feature or Syntax**

This benchmark does not use any special JavaScript features or syntax that would affect its interpretation or execution. However, it's worth noting that the use of `Object.assign()` and direct assignment may be affected by browser implementations and JavaScript engines.

**Other Alternatives**

If you're interested in exploring alternative approaches to updating object properties, here are a few options:

* Using `Array.prototype.push()` to create new objects
* Using a library like Lodash or Ramda for functional programming
* Using a data structure like a Map or Set instead of an object

Keep in mind that each of these alternatives may have its own trade-offs and performance characteristics.

**Benchmark Preparation Code**

The provided JavaScript code prepares the benchmark by creating an object `obj` with several properties, including nested objects. This allows the benchmark to test both approaches on a consistent data structure.

```javascript
var obj = {
    x: 'x',
    y: 'y',
    z: 'z',
    xx: 'x',
    yy: 'y',
    zz: 'z',
    xxx: 'x',
    yyy: 'y',
    zzz: 'z'
};
```

**Individual Test Cases**

The benchmark consists of two individual test cases:

* `Object.assign()`: This test case uses the `Object.assign()` method to update object properties three times.
* `direct assign`: This test case directly assigns values to object properties using square brackets (`obj['property'] = 'value'`) three times.

These test cases are executed in a loop, allowing the benchmark to measure the performance of each approach over multiple executions.

Related benchmarks:

object-update-assign-2 (version: 2)

Comparing performance of: Object.assign vs direct assign

Created: 3 years ago by: Registered User

Jump to the latest result

Object.assign

direct assign

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):