What is the performance of deep merge in programming?

What is the performance of deep merge in programming?

The performance of deep merge can vary based on the implementation and the size of the objects being merged. Generally, it can be more resource-intensive than shallow merges due to the need to recursively merge nested objects.

Can you explain why deep merge is more resource-intensive?

Sure! Deep merge requires traversing each level of nested objects, which increases the time complexity. This means that for larger objects, the processing time and memory usage can grow significantly.

Are there any libraries that optimize deep merge performance?

Yes, libraries like Lodash and Immer provide optimized functions for deep merging. They often include performance improvements and handle edge cases effectively.

What are some common use cases for deep merge?

Common use cases include merging configuration objects, state management in applications, and combining data from different sources while preserving nested structures.