Benchmark: Object key access vs array find 50 els

Script Preparation code:

var items = Array.from(Array(1000), (_,x) => ({key: x, value: x*10}));

var objContainer = {};
var arrContainer = [];

for (let i = 50; i >= 0; i--) {
  const index = Math.floor(Math.random() * 1000);
  const item = items[index];
  objContainer[item.key] = item;
  arrContainer.push(item)
}

Tests:

Object access
items.forEach(item => objContainer[item.value])
Array find
items.forEach(item => arrContainer.find(containerItem => containerItem.value === item.value))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Object access
Array find

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (X11; Linux x86_64; rv:125.0) Gecko/20100101 Firefox/125.0

Browser/OS: Firefox 125 on Linux

View result in a separate tab

Object access

117K/s

Array find

6K/s

View exact numbers

Test name	Executions per second
✓ Object access	116,917 Ops/sec
Array find	6,080 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what's being tested, compared options, pros and cons, and other considerations.

**Benchmark Overview**

The benchmark tests two approaches to access data: object key access vs array find. The test case uses JavaScript arrays and objects to store data.

**Script Preparation Code**

The script preparation code creates two containers: `objContainer` (an object) and `arrContainer` (an array). It then populates these containers with 1000 items, where each item has a unique key and value. The container population is done randomly, ensuring that the distribution of keys/values is evenly spread.

```javascript
var items = Array.from(Array(1000), (_, x) => ({key: x, value: x*10}));
var objContainer = {};
var arrContainer = [];

for (let i = 50; i >= 0; i--) {
  const index = Math.floor(Math.random() * 1000);
  const item = items[index];
  objContainer[item.key] = item;
  arrContainer.push(item);
}
```

**Html Preparation Code**

There is no HTML preparation code provided.

**Individual Test Cases**

The benchmark includes two test cases:

1. **Object access**: `items.forEach(item => objContainer[item.value])`
	* This approach uses the object's property access to find and retrieve items based on their values.
2. **Array find**: `items.forEach(item => arrContainer.find(containerItem => containerItem.value === item.value))`
	* This approach uses the array's `find` method to search for an item with a matching value.

**Comparison**

The benchmark compares the performance of these two approaches:

* Object key access
* Array find

**Pros and Cons**

**Object Key Access:**

Pros:

* Fast property access, as it directly accesses the object's property.
* Cache-friendly, reducing page faults and improving performance in certain scenarios.

Cons:

* May lead to slower startup times due to object creation.
* May be less efficient for very large datasets or when dealing with sparse objects.

**Array Find:**

Pros:

* More flexible and adaptable to varying data structures.
* Can handle edge cases where the array is not sorted.

Cons:

* Generally slower than property access, as it requires a linear search through the array.
* May lead to increased memory usage due to the creation of intermediate data structures.

**Other Considerations**

* **Data Distribution**: The benchmark assumes an even distribution of keys/values. If this assumption doesn't hold true for your specific use case, you may need to adjust the benchmark accordingly.
* **JavaScript Engine Optimizations**: Modern JavaScript engines have various optimizations that can affect performance. For example, some engines might reorder iterations in `forEach` loops or improve caching behavior.

**Alternative Approaches**

If you want to explore alternative approaches, consider:

1. Using a more efficient data structure, such as a trie or a sparse array.
2. Implementing a custom search algorithm tailored to your specific requirements.
3. Comparing the performance of different JavaScript engines (e.g., V8, SpiderMonkey) on the same benchmark.

Keep in mind that these alternatives may not be relevant for all use cases and might require additional consideration of trade-offs and complexity.

Object key access vs array find 50 els (version: 0)

Test speed of object access by key vs array find to find object

Comparing performance of: `Object access vs Array find`

Created: 3 years ago by: Guest

Go to the latest result

Object access

Array find

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

Object key access vs array find 50 els (version: 0)

Test speed of object access by key vs array find to find object

Comparing performance of: Object access vs Array find

Created: 3 years ago by: Guest

Go to the latest result

Object access

Array find

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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

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