Benchmark: inline string vs reusable string

Tests:

strings
for (let i =0; i < 100000; i++) { if ('random' !== 'random') { console.log('upss') } }
objects
const o = new String('random'); for (let i =0; i < 100000; i++) { if (o !== o) { console.log('upso') } }

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
strings
objects

Fastest: N/A

Slowest: N/A

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

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

**Benchmark Overview**

The given benchmark compares two approaches:

1. Inline string literals
2. Reusable string literals using the `String` constructor

**What is being tested?**

In the first test case (`strings`), the benchmark checks the performance of inline string literals (the literal string `'random'`) versus a reusable string literal created with the `String` constructor (e.g., `new String('random')`). The test measures the number of executions per second.

In the second test case (`objects`), a similar comparison is made, but for object literals. Here, the benchmark tests the performance of an inline object literal versus a reusable object literal created with the `String` constructor (not directly applicable to objects).

**Options Compared**

The two options being compared are:

1. **Inline string literals**: Using a literal string in the JavaScript code (e.g., `'random'`).
2. **Reusable string literals using `String` constructor**: Creating a new `String` object with the `new String()` syntax (e.g., `new String('random')`).

**Pros and Cons**

**Inline string literals:**

Pros:

* Faster execution, as the JavaScript engine can optimize it directly.
* Less memory allocation.

Cons:

* Limited flexibility, as strings cannot be modified or replaced after creation.
* May not work with certain data types (e.g., NaN, Infinity) that cannot be represented as strings.

**Reusable string literals using `String` constructor:**

Pros:

* More flexible, as the created `String` object can be used multiple times and modified.
* Can handle various data types.

Cons:

* Slower execution, due to the overhead of creating a new object.
* Additional memory allocation.

**Other Considerations**

* In modern JavaScript engines, some optimizations may eliminate the difference between inline and reusable string literals. However, this benchmark aims to measure performance differences in a more controlled environment.
* The `String` constructor creates a new object with its own properties and methods (e.g., `length`, `charCodeAt`). This might impact performance if not necessary.

**Library/External Dependency**

There is no external library or dependency used in these benchmarks. The test cases rely solely on JavaScript's built-in language features.

**Special JS Features/Syntax**

Neither of the provided benchmark tests special JavaScript features or syntax that would affect the outcome (e.g., async/await, generators). However, if you were to add additional code, such as loops or conditional statements, it could potentially impact performance differences between inline and reusable string literals.

**Alternatives**

If you wanted to explore alternative approaches, consider these options:

* Using `Intl.StringFormat` or `String.prototype.replace()` for more efficient string manipulation.
* Employing caching mechanisms (e.g., memoization) to reuse previously computed values.
* Optimizing code using techniques like inlining, dead code elimination, or tree shaking.

These alternatives might not directly compare to the inline vs. reusable string literals test case but can provide valuable insights into performance optimization and coding best practices.

Related benchmarks:

inline string vs reusable string (version: 0)

Comparing performance of: strings vs objects

Created: 4 years ago by: Guest

Jump to the latest result

strings

objects

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):