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Single vs multiple regex replace calls new new
(version: 1)
Comparing performance of:
Multiple, regex vs Single, regex
Created:
one year ago
by:
Guest
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Script Preparation code:
var str = "Et inventore ut est. Illum dolorem similique odit. Velit necessitatibus unde nostrum sequi ut pariatur suscipit sit magnam. Cum esse sed quod aut id. Recusandae vel commodi."
Tests:
Multiple, regex
str = str.replace(/a/g, 'A').replace(/e/g,'E')
Single, regex
str = str.replace(/a|e/g, match => match === 'a' ? 'A' : 'B')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Multiple, regex
Single, regex
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
5 months ago
)
User agent:
Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36
Browser/OS:
Chrome 142 on Mac OS X 10.15.7
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Embed Benchmark Result
Test name
Executions per second
Multiple, regex
10915417.0 Ops/sec
Single, regex
12534915.0 Ops/sec
Autogenerated LLM Summary
(model
gpt-4o-mini
, generated one year ago):
The benchmark defined in the JSON evaluates the performance of two different approaches for replacing characters in a string using regular expressions in JavaScript. Specifically, it compares: 1. **Multiple `replace` Calls**: - **Test Case**: `str = str.replace(/a/g, 'A').replace(/e/g,'E')` - **Description**: This approach uses chained calls to the `replace` method. For every occurrence of 'a', it is replaced with 'A', and for every occurrence of 'e', it is replaced with 'E'. - **Pros**: - Simplicity: Each replacement is straightforward and easy to implement. - Readability: Chained replacements can often be more intuitive to read. - **Cons**: - Performance: Multiple passes over the string engage the regex engine separately for each replacement, which can lead to slower performance, particularly on longer strings or with numerous substitutions. 2. **Single `replace` Call Using a Callback**: - **Test Case**: `str = str.replace(/a|e/g, match => match === 'a' ? 'A' : 'B')` - **Description**: This approach uses a single `replace` call with a regular expression that matches either 'a' or 'e'. A callback function determines what to replace the match with, returning 'A' for 'a' and 'B' for 'e'. - **Pros**: - Performance: Generally more efficient since it only traverses the string once, handling both replacements in one pass. - Flexibility: The callback allows for more complex logic for determining the replacement value, if needed. - **Cons**: - Complexity: Slightly more complex than the straightforward multiple replacements; developers need to understand how the callback works. - Readability: Might be less intuitive for someone unfamiliar with the callback pattern. ### Benchmark Results The benchmark results highlighted the performance difference between the two approaches. The test using the single `replace` call achieved an execution speed of approximately **9.14 million** executions per second, while the multiple `replace` calls executed around **8.05 million** times per second. This indicates that the single callback method is significantly faster for this use case, confirming the performance benefits of minimizing passes over the string. ### Additional Considerations 1. **Use Case**: The chosen method might depend on specific application requirements. If simplicity and clarity are prioritized, a developer may opt for the multiple method. For performance-critical applications, it’s recommended to go with the single regex approach. 2. **Alternatives**: Other alternatives not specifically tested here could involve: - Using other libraries or regex engines that may offer optimized performance. - Manual string manipulation methods like using loops and condition checks, though this is generally less elegant and more error-prone compared to regex solutions. In summary, the benchmark provides insight into the performance characteristics of two regex-based string replacement methods in JavaScript, allowing developers to make informed choices based on performance and code clarity.
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