Measuring JavaScript performance is a complex task, and MeasuratThat.net provides a valuable platform for comparing different approaches.

Benchmark Definition

The provided benchmark compares the execution times of two methods to create a deep copy of an object:

1. _.cloneDeep(MyObject) (Lodash cloneDeep)
2. JSON.parse(JSON.stringify(MyObject)) (JSON clone)

Comparison of options

Both methods are used to create a deep copy of the input object, but they have different approaches.

• Lodash cloneDeep: This method uses a recursive approach to create a deep copy of the object. It traverses the object's properties and creates new objects with identical structures.
  • Pros: Can handle complex objects with nested arrays and objects.
  • Cons: May be slower for very large objects due to the overhead of recursive function calls.
• JSON clone: This method uses JSON.stringify() and JSON.parse() to serialize the object to a string, which is then parsed back into an object. This approach can create a shallow copy, which may not work as expected for deeply nested objects.
  • Pros: Can be faster for small to medium-sized objects due to the simplicity of the approach.
  • Cons: May not work correctly for complex objects with nested arrays and objects.

Other considerations

• Object structure: The choice of method depends on the object's structure. For simple objects, JSON clone may be sufficient. However, for more complex objects, Lodash cloneDeep is recommended.
• Performance: If performance is a critical concern, benchmarking both methods is essential to determine which one performs better in your specific use case.

Library and purpose

• Lodash: A popular JavaScript library that provides utility functions for functional programming, including the cloneDeep() method.
  • Purpose: To provide a simple and efficient way to create deep copies of objects.

Special JS feature or syntax

None mentioned. Both methods are standard JavaScript approaches.

Alternatives

Other alternatives for creating deep copies of objects include:

• Using libraries like immer or copy-deep
• Implementing a custom recursive function
• Using a third-party library like deepcopy

Keep in mind that the choice of method depends on your specific use case, performance requirements, and personal preference.