Benchmark: Splitting a row id into a Map

HTML Preparation code:

<script src="https://cdnjs.cloudflare.com/ajax/libs/ramda/0.29.0/ramda.min.js"></script>

Script Preparation code:

var fromIdVanilla = (id) => {
  const map = new Map()

  if (id) {
    for (const segement of id.split(';')) {
      const [key, value] = segement.split('=')
      map.set(key, value)
    }
  }

  return map
}

var fromIdRamda = R.pipe(R.split(';'), R.reject(R.isEmpty), R.map(R.split('=')), x => new Map(x))

Tests:

Vanilla
fromIdVanilla('Type=Text;Id=1;Foo=Bar')
Ramda
fromIdRamda('Type=Text;Id=1;Foo=Bar')

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Vanilla
Ramda

Fastest: N/A

Slowest: N/A

Latest run results:

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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's being tested.

**Benchmark Definition JSON**

The provided JSON represents a JavaScript microbenchmark that compares two approaches for splitting a row ID into a Map. The `Script Preparation Code` section defines two functions: `fromIdVanilla` and `fromIdRamda`. These functions are responsible for parsing the row ID and creating a Map.

*   `fromIdVanilla`: This function uses vanilla JavaScript to split the row ID by semicolons (`;`) and then further split each segment by equals (`=`). It creates a new Map using the resulting key-value pairs.
*   `fromIdRamda`: This function utilizes the Ramda library, a functional programming library for JavaScript. The `R.split(';')`, `R.reject(R.isEmpty)`, and `R.map(R.split('='))` functions are used to split the row ID by semicolons, remove any empty segments, and then further split each segment by equals, respectively. The resulting array of arrays is then mapped to a new Map.

**Options Compared**

The benchmark compares the performance of two approaches:

1.  Vanilla JavaScript (`fromIdVanilla`)
2.  Ramda library (`fromIdRamda`)

**Pros and Cons of Each Approach:**

*   **Vanilla JavaScript (fromIdVanilla)**:
    *   Pros:
        *   Lightweight and widely supported
        *   No dependencies required
        *   Easy to understand and implement
    *   Cons:
        *   May not be as efficient due to the overhead of function calls and string manipulation
*   **Ramda library (fromIdRamda)**:
    *   Pros:
        *   Provides a more concise and expressive way of splitting strings using functional programming principles
        *   Can lead to better performance due to the optimized algorithms and caching in Ramda
    *   Cons:
        *   Requires an additional dependency (the Ramda library)
        *   May require more time to learn and understand

**Other Considerations:**

*   The benchmark assumes that the input row ID is well-formed, with semicolons separating segments and each segment containing a key-value pair.
*   It's worth noting that using a Map to store the parsed data can be beneficial if you need to frequently look up or iterate over the values.

**Library Description: Ramda**

Ramda is a functional programming library for JavaScript. It provides a set of higher-order functions (functions as first-class citizens) that operate on arrays and other collections, allowing you to write concise and expressive code. Some common operations in Ramda include filtering, mapping, reducing, and transforming data.

**Special JS Feature or Syntax:**

There is no special JavaScript feature or syntax mentioned in the benchmark definition or test cases.

I hope this explanation helps!

Related benchmarks:

Splitting a row id into a Map (version: 0)

Comparing performance of: Vanilla vs Ramda

Created: 2 years ago by: Registered User

Jump to the latest result

Vanilla

Ramda

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):