Benchmark: Ramda vs. naive with equality checker

HTML Preparation code:

<script src="//cdn.jsdelivr.net/npm/ramda@0.26.0/dist/ramda.min.js"></script>

Script Preparation code:

var l = _.range(1000).reduce( (acc, i) => ({...acc, i:  { id: i, name: 'test' }}), {} )
var r = _.range(40).reduce((acc, i) => ({...acc, i: { id: i, name: "test" + i }}), {} )

var mergeMapsOfRecords = (
  obj1,
  obj2,
  equalityChecker = apiRecordEqualityCheck
) => {
  const l = obj1 || {}
  const r = obj2 || {}
  const keys = Object.keys(r)
  const newMap = { ...l }

  for (const key of keys) {
    if (l.hasOwnProperty(key) && r.hasOwnProperty(key)) {
      if (equalityChecker(l[key], r[key])) {
        newMap[key] = l[key]
      }
      newMap[key] = { ...l[key], ...r[key] }
    } else {
      newMap[key] = r[key]
    }
  }

  return newMap
}

var apiRecordEqualityCheck = (record1, record2) => {
  if (
    record1.updatedAt &&
    record2.updatedAt &&
    record1.updatedAt === record2.updatedAt &&
    (Object.keys(record1).length && Object.keys(record2))
  ) {
    return true
  }
  return false
}

Tests:

Ramda
const a = R.mergeDeepRight(l, r)
naive
const b = mergeMapsOfRecords(l, r)

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
Ramda
naive

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

**Benchmark Definition**

The benchmark is comparing two approaches to merge two objects: `R.mergeDeepRight(l, r)` using the Ramda library and a custom implementation called `mergeMapsOfRecords`.

**What's being tested?**

Both implementations are merging two objects, `l` and `r`, which contain arrays of records. The records have an `id` and a `name`. The goal is to merge these objects while preserving the structure and keeping only the most recent record for each `id`.

**Ramda implementation (`R.mergeDeepRight(l, r)`)**

The Ramda implementation uses its `mergeDeepRight()` function, which merges two objects recursively. It will overwrite any existing properties in the destination object with values from the source object.

Pros:

* Simple and concise code
* Well-tested and maintained by the Ramda library
* Uses a consistent and predictable algorithm

Cons:

* Might be less efficient than custom implementations due to its higher-level abstraction

**Custom implementation (`mergeMapsOfRecords(l, r)`)**

The custom implementation iterates over the keys of the second object (`r`) and checks if they exist in both objects. If they do, it uses an equality check function `apiRecordEqualityCheck()` to determine which record is more recent. It then merges the two records using the spread operator (`{ ...l[key], ...r[key] }`). If there's no common key, it simply copies the value from `r`.

Pros:

* Can be optimized for performance by minimizing the number of checks and equality calls
* Allows for custom optimization and caching

Cons:

* More complex code with more potential points of error
* Requires manual management of the `equalityChecker` function

**Equality check function (`apiRecordEqualityCheck(record1, record2)`)**

The equality check function compares two records based on their `updatedAt` timestamp. If both timestamps are set and equal, it checks if both objects have the same number of keys. If so, it returns `true`. Otherwise, it returns `false`.

Pros:

* Simple and easy to understand
* Preserves the order of updates

Cons:

* Might be less efficient than other equality check methods (e.g., using a hash function)

**Other considerations**

When implementing the custom merge logic, consider optimizing for performance by:

* Minimizing the number of checks and equality calls
* Using caching or memoization to store intermediate results
* Avoiding unnecessary allocations or copies

In terms of alternatives, you could also explore other libraries or implementations that provide a similar merge function, such as:

* Lodash (`_.mergeDeepRight()`)
* Immutable.js (`merge` function)
* Your own custom implementation with optimized algorithms and caching strategies.

Overall, the benchmark provides a good comparison between two approaches to merging objects. By understanding the strengths and weaknesses of each implementation, developers can choose the best approach for their specific use case.

Related benchmarks:

Ramda vs. naive with equality checker (version: 0)

perf

Comparing performance of: Ramda vs naive

Created: 6 years ago by: Guest

Jump to the latest result

Ramda

naive

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):