HashMap expansion:
- advantage:
- Improved the load factor of the hash table: when expanding, HashMap recalculates hash values and reallocates bucket bits, reducing the possibility of hash conflicts and improving query performance.
- Support more elements: Expansion allows HashMap to accommodate more elements, making it more efficient when storing large amounts of data.
- shortcoming:
- Memory consumption: Expansion requires reallocation of larger memory space, which may lead to increased memory usage, especially when the amount of data stored in HashMap is large.
- The expansion operation is time-consuming: The expansion process may take some time due to recalculation of hash values and reallocation of bucket bits, especially if there are a large number of elements.
ArrayList expansion:
- advantage:
- Dynamic sizing: ArrayList expansion allows it to automatically resize as needed to accommodate more elements.
- Continuous memory allocation: The internal implementation of ArrayList uses continuous memory blocks. When expanding, you can simply allocate a larger memory block and copy existing elements to the new memory block, reducing the cost of moving elements.
- shortcoming:
- Performance overhead during expansion: When ArrayList expands, a larger memory block needs to be reallocated and existing elements copied to the new memory block. This process may require some time and computing resources.
- Frequent expansion leads to fragmentation: If ArrayList is frequently expanded, it may cause memory fragmentation, that is, there are a large number of discontinuous small memory spaces.