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Table of Contents
1. Different internal structures
2. Comparison of insertion and deletion efficiency
3. Scenario suggestions
4. Don’t just look at the theory when performing performance
Home Java javaTutorial ArrayList vs LinkedList in Java

ArrayList vs LinkedList in Java

Jul 11, 2025 am 02:57 AM
java

ArrayList is suitable for frequent access to elements, while LinkedList is suitable for frequent insertion or deletion of intermediate elements. 1. In terms of internal structure, ArrayList is implemented based on dynamic arrays, with continuous memory and supports fast index access; LinkedList is implemented based on bidirectional linked lists, with low random access efficiency and traversal search. 2. When inserting and deleting, ArrayList needs to move subsequent elements, and the time complexity is O(n); LinkedList only modifies the pointer and can reach O(1) at known node locations. 3. In usage scenarios, if you read more and write less, you need to quickly access the ArrayList; if you add or delete frequently, select LinkedList; if you select memory sensitive ArrayList; if you select LinkedList when modifying the structure during iteration, select LinkedList. 4. The real performance is affected by the environment. It is recommended to pass benchmark tests such as JMH to verify the rationality of the choice.

ArrayList vs LinkedList in Java

In Java, ArrayList and LinkedList are both commonly used List implementation classes, but their internal structure and applicable scenarios vary greatly. Simply put: if you need to access elements frequently, use ArrayList; if you frequently insert or delete intermediate elements, LinkedList is more suitable.

ArrayList vs LinkedList in Java

1. Different internal structures

ArrayList is implemented based on dynamic arrays , which means it is a continuous piece of space in memory. Finding elements at a certain location is very fast because they can be positioned directly through the index.

LinkedList is implemented based on a bidirectional linked list , and each element holds references to the previous and next nodes. Therefore, its random access is less efficient, and each access must be traversed from the beginning or the end.

ArrayList vs LinkedList in Java

For example:

  • Do you have an ArrayList with 10,000 elements and want to take the 5000th element? Just jump over.
  • If it is LinkedList , you have to search down one by one from the first node until the 5000th.

2. Comparison of insertion and deletion efficiency

LinkedList generally performs better than ArrayList when inserting or deleting elements in the middle.

ArrayList vs LinkedList in Java

The reason is:

  • When ArrayList inserts an element in the middle, it needs to move all the subsequent elements one by one, which will be very slow when the data volume is large.
  • LinkedList only needs to change the pointing of a few pointers, and does not need to move a large amount of data.

for example:

  • Insert an element in the middle of the list:
    • ArrayList : Average time complexity O(n)
    • LinkedList : Average time complexity O(n), but O(1) can be achieved when the node location is known.

Therefore, if you often do add or delete operations in the middle, give priority to LinkedList.


3. Scenario suggestions

Which structure to choose depends on your usage scenario:

Common recommendations are as follows:

  • Read more and write less, and need quick random access → Select ArrayList
  • Frequently insert/delete elements in the middle → select LinkedList
  • More sensitive to memory usageArrayList is usually more compact, and each node LinkedList has more front and back pointer overhead
  • Combined with iterator operationsLinkedList is more efficient in modifying structures (such as deletion) during the iteration process

In actual development, in most cases we are more traversing and querying data, so ArrayList is used more widely.


4. Don’t just look at the theory when performing performance

Although both have their own advantages in theory, the actual performance depends on the specific environment. For example, factors such as JVM optimization, caching mechanism, data size and other factors will affect the results.

If you are not sure which one to use, you can do a simple benchmark test in a specific scenario, such as using the JMH tool to run the time of insertion, query and other operations.


Basically that's it. The two categories have their own strengths and weaknesses, and there is no absolute good or bad. The key is to choose according to actual needs.

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