Benchmark: Tes reduce loops

Script Preparation code:

teams = []

for (var i = 1; i <= 1000; i++) {
   teams.push({ref: i});
}

Tests:

Test new reduce
const availableTargets = teams.reduce((acc, cur) => { acc[cur.ref] = cur; return acc; }, {});
Test original reduce
const availableTargets = teams.reduce((acc, cur) => ({ ...acc, [cur.ref]: cur }), {});

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Test new reduce
Test original reduce

Fastest: N/A

Slowest: N/A

Latest run results:

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

LLMs can make mistakes. Check important info.

Measuring JavaScript performance is crucial to understand the efficiency of various approaches in different scenarios.

**Benchmark Overview**

The provided benchmark tests two versions of the `reduce` method in JavaScript, which is used to apply a function to each element of an array and reduce it to a single output value. The two versions differ in how they use the accumulator object (`acc`) during the iteration process.

**Options Compared**

1. **Test 1: `new reduce` (using the spread operator)**
```javascript
const availableTargets = teams.reduce((acc, cur) => ({ ...acc, [cur.ref]: cur }), {});
```
In this version, a new object is created for each iteration using the spread operator (`{ ...acc, [cur.ref]: cur }`). This approach creates a shallow copy of the accumulator object and then adds a new property to it. The `reduce` method returns an object with all properties added during the iterations.

**Pros:**

* Simple and easy to understand
* No need for explicit array creation or manipulation

**Cons:**

* Creates a new object on each iteration, leading to potential performance issues due to object creation overhead
* May not be suitable for large datasets due to memory allocation concerns

2. **Test 2: `original reduce` (using bracket notation)**
```javascript
const availableTargets = teams.reduce((acc, cur) => {
  acc[cur.ref] = cur;
  return acc;
}, {});
```
In this version, the accumulator object is modified directly using bracket notation (`acc[cur.ref] = cur;`). This approach does not create a new object on each iteration.

**Pros:**

* No memory allocation overhead due to object creation
* Suitable for large datasets

**Cons:**

* May be less readable or maintainable due to direct modification of the accumulator object
* Does not handle edge cases like `acc` being `undefined`

**Library and Purpose**

There is no library mentioned in the provided benchmark definitions.

**Special JS Features/Syntax**

None mentioned. However, it's worth noting that the use of bracket notation (`cur.ref`) is a common pattern when working with objects in JavaScript.

**Other Alternatives**

When testing performance-critical code, consider the following alternatives:

1. **Manual iteration**: Instead of using `reduce`, you can write manual loops to achieve the same result.
2. **Iterators**: If you need more control over the iteration process or want to support custom iteration mechanisms, consider using iterators (e.g., `forEach`, `for...of`).
3. **Native array methods**: For specific use cases, native array methods like `map()`, `filter()`, or `forEach()` might be more suitable.

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the original code.

When interpreting benchmark results, consider factors such as:

* **Execution time**: The time taken by each test case to complete.
* **Number of executions per second**: A metric indicating how many times each test case can be executed within a given timeframe (e.g., 1 second).
* **Browser/Platform-specific results**: It's essential to analyze the results across different browsers, platforms, and device types to understand performance variations.

By considering these factors and alternative approaches, you can gain a deeper understanding of JavaScript performance optimization techniques.

Related benchmarks:

Tes reduce loops (version: 0)

Comparing performance of: Test new reduce vs Test original reduce

Created: 3 years ago by: Guest

Jump to the latest result

Test new reduce

Test original reduce

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):