Benchmark: Replace vs Match

Tests:

Replace
"1234567890qwertyuiop".replace(/\d/g, '');
Match
"1234567890qwertyuiop".match(/\d/g)[0];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Replace
Match

Fastest: N/A

Slowest: N/A

Latest run results:

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

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36

Browser/OS: Chrome 131 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
Replace	5469601.0 Ops/sec
Match	5140142.0 Ops/sec

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

LLMs can make mistakes. Check important info.

Let's break down the benchmark and explain what is being tested, the options compared, and their pros and cons.

**Benchmark Definition**

The benchmark definition specifies two test cases: "Replace" and "Match". The tests are designed to compare the performance of two different approaches for replacing a regular expression pattern in a string.

**Regular Expression Patterns**

In both test cases, the regular expression pattern is `/\\d/g`. This pattern matches any digit (`\d`) and globally replaces it (using `g` flag) with an empty string. The `\\d` syntax is used to escape the `\d` character, which would otherwise be interpreted as a special character.

**Options Compared**

The two test cases compare the performance of:

1. **String replacement**: Using the `replace()` method on the input string.
2. **Regular expression matching and indexing**: Using the `match()` method on the input string, followed by indexing into the matched array to retrieve the first element (`[0]`).

**Pros and Cons**

**String Replacement (Replace)**

Pros:

* Simple and straightforward approach
* Fewer system calls compared to regular expression processing
* Can be optimized for performance using specialized libraries or engines

Cons:

* May not perform well on large strings due to the overhead of string concatenation and garbage collection
* May not support Unicode characters correctly, depending on the implementation

**Regular Expression Matching and Indexing (Match)**

Pros:

* Can handle large strings efficiently without worrying about memory allocation
* Supports Unicode characters out-of-the-box
* Often optimized for performance by specialized libraries or engines

Cons:

* More complex and slower due to the overhead of regular expression parsing, compilation, and execution
* May require additional system calls compared to string replacement

**Library Usage**

In this benchmark, no library is explicitly mentioned. However, it's likely that the `String` class and its methods (e.g., `replace()`) are part of the JavaScript Standard Library.

**Special JS Feature or Syntax**

The benchmark doesn't use any special JavaScript features or syntax beyond regular expressions. The focus is on comparing two common approaches to string manipulation in JavaScript.

**Other Alternatives**

If you were to implement a similar benchmark, you could consider adding more test cases, such as:

* Using other regular expression patterns (e.g., `\\w`, `\\s`, etc.)
* Adding additional factors that affect performance, like large strings or multiple concurrent executions
* Comparing the performance of different programming languages or implementations
* Incorporating additional optimization techniques, such as caching or memoization

Keep in mind that the specific alternatives you choose will depend on your goals and requirements for the benchmark.

Related benchmarks:

Replace vs Match (version: 0)

Replace vs Match

Comparing performance of: Replace vs Match

Created: 5 years ago by: Guest

Jump to the latest result

Replace

Match

Suite status: <idle, ready to run>

Fastest: N/A

Slowest: N/A

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