Benchmark: Shitloads of if statements vs includes

Script Preparation code:

var val = 9998;
var arr = Array.from({ length: 10000 }).map((val, index) => index);
var obj = arr.reduce((obj, val) => ({ ...obj, [val]: 1}), {});
var set = new Set(arr);
var check = function() {
  var i = 0;
  while (i++ < arguments.length) {
    if (arguments[i] === val) { return true; }
  }
  return false;
}

Tests:

Includes
var found = arr.includes(val);
Object lookup
var found = obj[val] !== undefined;
Set
var found = set.has(val);
Arguments
var found = check.apply(null, arr);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Includes
Object lookup
Set
Arguments

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 dive into the explanation.

The provided JSON represents a JavaScript microbenchmark test case on MeasureThat.net. The benchmark is designed to compare the performance of four different approaches: includes, object lookup, set operations, and using the `apply()` method with an array as arguments.

**Approaches being compared:**

1. **Includes**: This approach uses the `includes()` method to check if a value exists in an array.
2. **Object lookup**: This approach uses direct property access (e.g., `obj[val]`) to check if a value exists in an object.
3. **Set operations**: This approach uses the `has()` method of a Set data structure to check if a value exists.
4. **Arguments**: This approach uses the `apply()` method with an array as arguments to emulate a function call.

**Pros and Cons:**

* **Includes**:
	+ Pros: Simple, intuitive, and widely supported.
	+ Cons: May not be optimized for performance in all browsers.
* **Object lookup**:
	+ Pros: Can be faster than `includes()` for large objects with many properties.
	+ Cons: Requires direct property access, which can be slower due to DOM traversal.
* **Set operations**:
	+ Pros: Fast and efficient for set-based operations.
	+ Cons: May require additional memory allocation.
* **Arguments**:
	+ Pros: Emulates a function call, which can be faster in some cases.
	+ Cons: Requires `apply()` method invocation, which can add overhead.

**Library and purpose:**

The `includes()` method is a built-in JavaScript method that checks if a value exists in an array. The `Object.lookup()` (not `lookup()`) is not a standard JavaScript method; it's possible that this was a typo or a custom implementation. However, the `has()` method of a Set data structure is a widely supported and efficient way to perform set-based operations.

**Special JS features or syntax:**

The `apply()` method with an array as arguments is a special case in JavaScript, known as "call/apply" semantics. It allows invoking a function with a specific context (this) and arguments list.

**Alternatives:**

If you need to compare the performance of different approaches for set-based operations, you can use other methods like:

* `in` operator: checks if a value is in an object's prototype chain.
* `Array.prototype.forEach()`: iterates over an array using a callback function.
* Custom iteration and looping mechanisms (e.g., `for` loops).

If you're looking for alternative approaches to direct property access or set operations, consider using:

* Proxy objects: allow you to intercept and manipulate property accesses.
* WeakMaps: provide a way to store and retrieve values efficiently.

Keep in mind that the choice of approach depends on your specific use case, performance requirements, and browser support.

Related benchmarks:

Shitloads of if statements vs includes (version: 16)

Comparing performance of: Includes vs Object lookup vs Set vs Arguments

Created: 8 years ago by: Registered User

Jump to the latest result

Includes

Object lookup

Set

Arguments

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):