Benchmark: multiple-re-vs-one

Script Preparation code:

var a = 'asrtarstarstarstarst';
var b = 'oienoienoienoienoin';
var c = 'arsoienaroistenaoristenaorisetnaorist';
var d = 'wfpqwfp;yuwflpywulfpywulfp';

var re = /abcdefg/i;

Tests:

concat
(a+b+c+d).search( re );
one by one
a.search(re) b.search(re) c.search(re) d.search(re)
concat test
re.test(a+b+c+d)
test one by one
re.test(a) re.test(b) re.test(c) re.test(d)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
concat
one by one
concat test
test one by one

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):

LLMs can make mistakes. Check important info.

I'll break down the benchmark and its various components.

**Benchmark Definition**

The benchmark is defined in JSON format, which includes:

* `Script Preparation Code`: This code is used to prepare the input for the benchmark. In this case, it's a string containing four concatenated strings (`a`, `b`, `c`, and `d`) with a regular expression (`re`) attached to it.
* `Html Preparation Code`: This section is empty in this benchmark, which means that no HTML preparation code is required.

**Individual Test Cases**

The benchmark includes four test cases:

1. **"concat"`**: This test case searches for the regular expression (`re`) within a single concatenated string (`a+b+c+d`).
2. **"one by one"`**: This test case performs separate searches for the regular expression (`re`) on each of the individual strings (`a`, `b`, `c`, and `d`).
3. **"concat test"`**: This test case uses a different approach to search for the regular expression within the concatenated string (`a+b+c+d`). The exact implementation is not specified, but it's likely that this approach is similar to the "one by one" method.
4. **"test one by one"`**: This test case performs separate searches for the regular expression (`re`) on each of the individual strings (`a`, `b`, `c`, and `d`). The exact implementation is not specified, but it's likely that this approach is similar to the "one by one" method.

**Comparison of Approaches**

The main difference between these approaches is how they handle the search for the regular expression within the concatenated string:

* **"concat"`**: Searches for the regular expression within a single concatenated string (`a+b+c+d`). This might be less efficient than separate searches, especially if the regular expression needs to access parts of each individual string.
* **"one by one"`**, **"test one by one"`**: Performs separate searches for the regular expression on each of the individual strings (`a`, `b`, `c`, and `d`). This approach can be more efficient than a single search, as it allows the engine to access parts of each string without needing to concatenate them.

**Pros and Cons**

Pros:

* Separate searches (e.g., "one by one", "test one by one") can be more efficient, especially for complex regular expressions.
* Can allow the engine to access parts of each individual string without concatenating them.

Cons:

* May require more iterations or function calls, which can impact performance.
* Might not take advantage of optimizations that occur during a single search (e.g., caching, avoiding unnecessary recompilations).

**Library and Syntax**

The benchmark uses JavaScript and the ` RegExp` object to perform regular expression searches. The `RegExp` object is used with the `/` character to specify the regular expression.

**Special JS Features or Syntax**

This benchmark does not explicitly use any special JavaScript features or syntax beyond what's required for regular expressions (e.g., template literals, destructuring). However, it might be worth noting that modern browsers and engines often provide additional optimizations and capabilities for regular expressions that can impact performance.

**Other Alternatives**

Some alternative approaches to this benchmark could include:

* **Testing a single concatenated string**: This approach would eliminate the need for separate searches on individual strings. However, it might not take advantage of optimizations that occur during separate searches.
* **Using a different search algorithm**: Other algorithms, such as Boyer-Moore or Knuth-Morris-Pratt, can provide faster performance for certain types of regular expressions.

Keep in mind that the choice of approach will depend on the specific requirements and constraints of your benchmark.

Latest run results:

Run details: (Test run date: 7 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.81 Safari/537.36

Browser/OS: Chrome 58 on Mac OS X 10.12.4

View result in a separate tab

Test name	Executions per second
concat	1453109.9 Ops/sec
one by one	1117008.9 Ops/sec
concat test	1424537.9 Ops/sec
test one by one	1175604.1 Ops/sec

Related benchmarks:

multiple-re-vs-one (version: 0)

Comparing performance of: concat vs one by one vs concat test vs test one by one

Created: 7 years ago by: Registered User

Jump to the latest result

concat

one by one

concat test

test one by one

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 26 days ago):