Benchmark: json parse and search regex1

Script Preparation code:

var str = '{"error":{"status":404,"ststusText":"fooo"},"data":[{"id":1,"attributes":{"url":"about-us","title":"About DHDHDD","content":"","createdAt":"2023-11-28T14:08:08.284Z","updatedAt":"2023-11-29T08:21:01.461Z","publishedAt":"2023-11-28T14:10:18.917Z"}},{"id":3,"attributes":{"url":"gift-certificates","title":"Gift Certificates","content":null,"createdAt":"2023-11-29T08:22:12.989Z","updatedAt":"2023-11-29T08:22:14.148Z","publishedAt":"2023-11-29T08:22:14.130Z"}},{"id":2,"attributes":{"url":"club-card","title":"Club Card","content":null,"createdAt":"2023-11-29T08:21:43.888Z","updatedAt":"2023-11-29T08:22:19.593Z","publishedAt":"2023-11-29T08:21:44.809Z"}},{"id":4,"attributes":{"url":"careers","title":"Careers","content":null,"createdAt":"2023-11-29T08:22:34.947Z","updatedAt":"2023-11-29T08:22:36.139Z","publishedAt":"2023-11-29T08:22:36.122Z"}},{"id":5,"attributes":{"url":"contact-information","title":"Contact Information","content":null,"createdAt":"2023-11-29T08:23:01.202Z","updatedAt":"2023-11-29T08:23:02.426Z","publishedAt":"2023-11-29T08:23:02.409Z"}},{"id":6,"attributes":{"url":"payment-methods","title":"Payment Methods","content":null,"createdAt":"2023-11-29T08:23:24.637Z","updatedAt":"2023-11-29T08:23:25.887Z","publishedAt":"2023-11-29T08:23:25.870Z"}},{"id":7,"attributes":{"url":"delivery","title":"Delivery","content":null,"createdAt":"2023-11-29T08:23:39.574Z","updatedAt":"2023-11-29T08:23:40.856Z","publishedAt":"2023-11-29T08:23:40.839Z"}},{"id":8,"attributes":{"url":"terms-of-use","title":"Terms of Use","content":null,"createdAt":"2023-11-29T08:24:05.378Z","updatedAt":"2023-11-29T08:24:06.550Z","publishedAt":"2023-11-29T08:24:06.533Z"}},{"id":9,"attributes":{"url":"return-policy","title":"Return Policy","content":null,"createdAt":"2023-11-29T08:24:25.024Z","updatedAt":"2023-11-29T08:24:26.160Z","publishedAt":"2023-11-29T08:24:26.144Z"}},{"id":10,"attributes":{"url":"press-center","title":"Press Center","content":null,"createdAt":"2023-11-29T08:24:42.989Z","updatedAt":"2023-11-29T08:24:44.137Z","publishedAt":"2023-11-29T08:24:44.120Z"}}],"meta":{"pagination":{"page":1,"pageSize":25,"pageCount":1,"total":10}}}';
var regex = /error\".*?status\":(\d\d\d)/;

Tests:

JSON
JSON.parse(str).error
regex
str.match(regex)[1];

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
JSON
regex

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 definition and explain what's being tested, compared, and their pros and cons.

**Benchmark Definition**

The JSON file contains two test cases:

1. `JSON.parse(str).error`
2. `str.match(regex)[1]`

**What is being tested?**

The first test case measures the performance of parsing a JSON object using `JSON.parse()`. The second test case measures the performance of matching a regular expression against a string using `str.match()`.

**Options compared**

Two options are compared:

A. **JSON.parse()**: This method parses a JSON string into a JavaScript object.
B. **str.match(regex)[1]**: This method searches for a pattern in a string using a regular expression and returns the first match.

**Pros and Cons of each approach:**

**JSON.parse()**

Pros:

* Fast and efficient, especially for large JSON data sets
* Well-maintained and widely supported

Cons:

* Can be slower than regex for small strings or simple patterns
* Requires more memory to process the entire JSON object

**str.match(regex)[1]**

Pros:

* Fast and efficient, even for small strings or complex patterns
* Does not require additional memory beyond the string being processed

Cons:

* Can be slower for large data sets or complex regex patterns
* Less maintainable and less widely supported compared to JSON.parse()

**Other considerations:**

* The `str.match(regex)[1]` approach assumes that there will always be a match. If no match is found, this approach will return null.
* The `JSON.parse()` approach can throw errors if the input string is malformed.

**Library and purpose**

In the provided code, the `regex` library is not explicitly mentioned. However, the regex pattern `/error\\\".*?status\\\":(\\d\\d\\d)/` is used to match the error object in the JSON data set.

This regex pattern captures the `status` property of the error object, which is a common convention in JSON data sets. The `.*?` part matches any characters (except newline) 0 or more times, and the `(\\d\\d\\d)` part captures exactly three digits to match the expected format of the status code.

**Special JS features or syntax**

None are explicitly mentioned in this benchmark definition.

**Alternatives**

Other alternatives for measuring performance in JavaScript include:

* `String.prototype.indexOf()` and `String.prototype.slice()`
* Using a parsing library like `json-stringify-safe` or `fast-json-parser`
* Measuring the execution time of custom-built functions using Node.js's built-in timing functions (`process.hrtime()`)

Note that the choice of alternative will depend on the specific use case and requirements.

Related benchmarks:

json parse and search regex1 (version: 1)

Comparing performance of: JSON vs regex

Created: 2 years ago by: Registered User

Jump to the latest result

JSON

regex

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):