Benchmark: fromentries/map/closure vs bind

Script Preparation code:

var logLevels = ['debug', 'log', 'info', 'warn', 'error']
  
function makeLoggerA(label, parent) {
  return Object.fromEntries(
   logLevels.map(level => [
     level,
     (...args) => {
       parent[level](label, ...args)
     },
   ]),
  )
}

function makeLoggerB(label, parent) {
  let ret = {}
  for (let level of logLevels) {
    ret[level] = parent[level].bind(parent, label)
  }
  return ret
}

var loggerA = makeLoggerA('example', console)

var loggerB = makeLoggerB('example', console)

Tests:

fromentries/map/closure
loggerA.log("Hello");
bind
loggerB.log("Hello");

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
fromentries/map/closure
bind

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.

Let's break down the provided benchmark and explain what's being tested, along with the pros and cons of each approach.

**Benchmark Overview**

The benchmark is comparing two approaches for creating loggers in JavaScript:

1. `fromEntries/map/closure` (Logger A)
2. `bind` (Logger B)

The benchmark prepares a logger factory function that creates loggers using these two approaches, logs messages to the console, and then measures the execution time of each approach.

**Options Compared**

The options being compared are:

* **Logger A (`fromEntries/map/closure`)**: This approach uses `Object.fromEntries()` to create an object with method properties. The logger factory function creates a new object for each level (debug, log, info, warn, error) and assigns a bound function to each property.
* **Logger B (`bind`)**: This approach uses the `bind()` method to bind a function to a specific context (the console object). The logger factory function creates an array of functions, one for each level, and returns an object with those functions as properties.

**Pros and Cons**

### Logger A (`fromEntries/map/closure`)

Pros:

* Efficient use of memory: `Object.fromEntries()` creates a new object without copying the original data.
* Easy to create and manage multiple loggers.

Cons:

* May have slower startup time due to object creation.
* Requires modern JavaScript features (ECMAScript 2019+).

### Logger B (`bind`)

Pros:

* Fastest execution time: `bind()` is a built-in method that can be optimized by the engine.
* Works well with older JavaScript engines.

Cons:

* May require more memory due to the creation of multiple bound functions.
* Less readable and maintainable code.

**Library Usage**

Neither Logger A nor Logger B uses any external libraries. They are self-contained JavaScript implementations.

**Special JS Feature/Syntax**

There is no special JavaScript feature or syntax used in this benchmark. Both approaches use standard JavaScript features, such as `Object.fromEntries()` and the `bind()` method.

**Other Alternatives**

If you're looking for alternative approaches to creating loggers in JavaScript, some options include:

* **Lodash**: A popular utility library that provides a `log` function and other logging-related utilities.
* **Winston**: A popular logging library that provides a flexible and customizable logging framework.
* **Console Log**: Using the built-in `console.log()` function to output log messages. However, this approach may not provide as much flexibility or control over logging behavior.

In summary, the benchmark is comparing two approaches for creating loggers in JavaScript: `fromEntries/map/closure` (Logger A) and `bind` (Logger B). Logger A uses an efficient but potentially slower approach, while Logger B uses a faster but potentially less readable approach.

Related benchmarks:

fromentries/map/closure vs bind (version: 0)

Comparing performance of: fromentries/map/closure vs bind

Created: 5 years ago by: Guest

Jump to the latest result

fromentries/map/closure

bind

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):