Benchmark: string comparison

Script Preparation code:

var attribute = 'field'

Tests:

==
if(attribute == 'field'){ return true; }
===
if(attribute === 'field'){ return true; }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
==
===

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: one year ago)

User agent: Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Mobile Safari/537.36

Browser/OS: Chrome Mobile 133 on Android

View result in a separate tab

Test name	Executions per second
==	130397224.0 Ops/sec
===	129647800.0 Ops/sec

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

LLMs can make mistakes. Check important info.

I'd be happy to help explain the JavaScript microbenchmark on MeasureThat.net.

**Benchmark Definition**

The provided benchmark definition is simple, with a script preparation code that declares a variable `attribute` and assigns it the string value `'field'`. There's no HTML preparation code, which suggests that this benchmark is focused solely on the JavaScript engine's performance.

**Options Compared**

In this benchmark, two options are compared:

1. **Strict Equality (`==`)**
2. **Loose Equality (`===`)**

These two comparisons have different outcomes due to differences in their behavior regarding type coercion and comparison rules.

**Pros and Cons of Each Approach:**

*   **Strict Equality (`==`):**
    *   Pros:
        *   Less prone to errors, as it only considers value equality.
        *   Often preferred when ensuring exact matches between values.
    *   Cons:
        *   Can be slower due to the additional overhead of type coercion checks.
        *   May lead to unexpected behavior if one or both operands are not numbers or strings.
*   **Loose Equality (`===`):**
    *   Pros:
        *   Faster, as it skips unnecessary type coercion checks.
        *   Provides better support for comparing values with different data types (e.g., `null === undefined`).
    *   Cons:
        *   May lead to errors if one or both operands are not of the expected type.

**Library and Purpose**

In this benchmark, there is no explicit library being used. However, some JavaScript features like `===` rely on the concept of "type coercion" and the behavior of these operators might be influenced by the implementation of other libraries.

**Special JS Features or Syntax**

The use of `===` instead of `==` introduces a special feature in JavaScript called "strict equality" which ensures that only values with the same type will match. This helps prevent unexpected behavior caused by type coercion, but may make code slightly slower due to additional checks at runtime.

**Other Alternatives:**

If you're looking for alternatives or want to explore other performance comparison scenarios, here are some options:

1.  **Array vs. Object Iteration:** Compare the time taken by different iteration methods (e.g., `for...in`, `forEach`, `reduce()`) when working with arrays and objects.
2.  **String Concatenation vs. Template Literals:** Investigate the performance differences between concatenating strings using the traditional method (`+` operator) versus template literals.
3.  **Regular Expressions vs. String Methods:** Compare the execution speed of regular expression patterns against string methods like `replace()` or `indexOf()`.
4.  **Object Creation vs. Array Creation:** Examine the time taken by different approaches to create objects and arrays (e.g., using the object literal `{}` versus an array `[ ]`).

These alternatives will provide a better understanding of how JavaScript's performance behaves under various scenarios, which can be valuable for optimizing your code or identifying areas where improvements are needed.

Related benchmarks:

string comparison (version: 0)

Comparing performance of: == vs ===

Created: 8 years ago by: Guest

Jump to the latest result

==

===

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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