Benchmark: diffcd - MeasureThat.net

Script Preparation code:

function diff0(objA = {}, objB = {}) {
  const diff = {};
  for (const key in objB) {
    if (!(key in objA)) {
      diff[key] = objB[key]
    }
  }

  return diff;
}

function diff1(objA = {}, objB = {}) {
  return Object.keys(objB).reduce((diff, key) => {
    if (!(key in objA)) {
      diff[key] = objB[key];
    }

    return diff;
  }, {});
}

function diff2(objA = {}, objB = {}) {
  const keySet = new Set(Object.keys(objA));

  return Object.keys(objB).reduce((diff, key) => {
    if (!keySet.has(key)) {
      diff[key] = objB[key];
    }

    return diff;
  }, {});
}

Tests:

add
const metaProps = { 'a': 1, 'b': 1, 'c': 1 }; const props = { 'b': 1, 'c': 1, 'd': 1 }; diff1(metaProps, props);
bdd
const metaProps = { 'a': 1, 'b': 1, 'c': 1 }; const props = { 'b': 1, 'c': 1, 'd': 1 }; diff2(metaProps, props);
cdd
const metaProps = { 'a': 1, 'b': 1, 'c': 1 }; const props = { 'b': 1, 'c': 1, 'd': 1 }; diff0(metaProps, props);

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
add
bdd
cdd

Fastest: N/A

Slowest: N/A

Latest run results:

No previous 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 dive into the world of JavaScript microbenchmarks on MeasureThat.net.

**Benchmark Definition JSON**

The provided JSON represents the benchmark definition for three different test cases: "add", "bdd", and "cdd". The script preparation code defines two functions, `diff1` and `diff2`, which are used to calculate the differences between two objects. Another function, `diff0`, is also defined but not used in any of the test cases.

The three main differences between these functions lie in their approach:

**Diff1**

* Uses `Object.keys()` to iterate over the keys of object B and checks if each key exists in object A.
* If a key does not exist, it adds the key-value pair to the result object.

Pros: Simple and efficient way to check for non-existent keys.
Cons: May be slower than other approaches when dealing with large objects or complex comparisons.

**Diff2**

* Uses `Object.keys()` to iterate over the keys of object B, but this time also creates a set of keys from object A.
* It then checks if each key in object B exists in the set of object A's keys. If not, it adds the key-value pair to the result object.

Pros: Can be more efficient than Diff1 when dealing with large objects or complex comparisons, since checking membership in a set is generally faster than checking individual keys.
Cons: May be slower than Diff0 for very small objects or simple comparisons.

**Diff0**

* This function seems to be similar to Diff1, but its implementation is not provided in the benchmark definition. It's likely that it uses a different approach or optimization that makes it faster than the other two functions.

**Test Cases**

The test cases are defined using the `diff1` and `diff2` functions, which means they will use either of these approaches to calculate the differences between the metadata properties (`metaProps`) and the props object. The "add" test case uses `diff1`, while the "bdd" test case uses `diff2`.

**Library and Special JS Features**

In the benchmark definition, there is no explicit mention of any libraries being used. However, it's worth noting that JavaScript objects are a fundamental part of the language, so any differences between these functions are likely due to variations in implementation or optimization rather than differences in library usage.

There are no special JavaScript features or syntaxes being used in this benchmark definition.

**Alternatives**

If you were to rewrite these benchmarks using different approaches, here are some alternatives:

* Using `Object.assign()` instead of iterating over keys with `for...in` could simplify the code and potentially improve performance.
* Using a library like Lodash or Underscore.js for object comparison and difference calculations could provide additional functionality and potential optimizations.
* Implementing a custom algorithm for calculating differences between objects, such as using a trie data structure, could potentially be faster than the existing approaches but may require more complex code and optimization.

Overall, the choice of approach in this benchmark definition is likely driven by trade-offs between simplicity, efficiency, and readability.

Related benchmarks:

diffcd (version: 0)

Comparing performance of: add vs bdd vs cdd

Created: 6 years ago by: Guest

Jump to the latest result

add

bdd

cdd

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):