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Md5 hashing jshashes Spark-md5 1
(version: 0)
Comparing performance of:
Spark vs jkmyers
Created:
4 years ago
by:
Guest
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HTML Preparation code:
<script src="https://cdnjs.cloudflare.com/ajax/libs/spark-md5/3.0.2/spark-md5.min.js"></script> <script src="https://cdn.jsdelivr.net/npm/md5-jkmyers@0.0.1/md5.min.js"></script>
Tests:
Spark
SparkMD5.hash('Hi there');
jkmyers
md5('Hi there')
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
Spark
jkmyers
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
Let's break down the provided benchmark definition and individual test cases to understand what is being tested. **Benchmark Definition JSON** The `Script Preparation Code` section contains two script tags that load external JavaScript libraries: Spark-md5 and md5-jkmyers. These libraries are used for hashing (creating a digital fingerprint) of strings. 1. **Spark-md5**: This library provides a simple way to create a hash from any string using the MD5 algorithm. The `hash` function takes a string as input and returns a hexadecimal representation of the hash. 2. **md5-jkmyers**: This is a lightweight implementation of the MD5 algorithm, also used for hashing strings. The benchmark definition itself consists of two test cases: * **Spark**: This test case uses the Spark-md5 library to hash the string "Hi there". The `Benchmark Definition` script simply calls the `hash` function with this input. * **jkmyers**: This test case uses the md5-jkmyers library to hash the same input string. Again, the `Benchmark Definition` script is just a single line of code calling the hashing function. **Options Compared** In this benchmark, two different libraries are used for hashing: 1. **Spark-md5**: This library is designed to be simple and easy to use, but may have performance implications due to its lightweight nature. 2. **md5-jkmyers**: This library is a more traditional implementation of the MD5 algorithm, which may offer better performance. **Pros and Cons** * **Spark-md5**: + Pros: Simple to use, easy to understand. + Cons: May be slower due to its lightweight nature. * **md5-jkmyers**: + Pros: Traditional implementation of the MD5 algorithm, potentially faster. + Cons: More complex to use, may require more configuration. **Other Considerations** When choosing between these two libraries, consider your specific requirements: * If you need a simple, easy-to-use hashing solution and are willing to accept potential performance trade-offs, Spark-md5 might be sufficient. * If you prioritize speed and are willing to invest time in setting up and configuring the library, md5-jkmyers could be a better choice. **Alternative Libraries** Other JavaScript libraries for hashing include: * **crypto-js**: A popular library that provides a wide range of cryptographic functions, including hashing. * **hashingjs**: Another lightweight library designed specifically for hashing strings. * **Node.js built-in crypto module**: For those using Node.js, the built-in `crypto` module provides an efficient way to perform hashing operations. These libraries may offer different trade-offs in terms of performance, simplicity, and features compared to Spark-md5 and md5-jkmyers.
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