Jin Collections Framework Introduction: High -efficiency data structure in the Java class library

Jin Collections Framework Introduction: High -efficiency data structure in the Java class library Overview: Jin Collections is a library of high -efficiency data structure designed for Java programming language.It provides some powerful and easy -to -use data structures, suitable for solving various common data processing problems.Jin Collections framework provides a reliable and efficient data structure solution for Java developers through excellent design and algorithms. characteristic: 1. High performance: The Jin Collections framework is carefully designed and optimized to provide the best performance.It uses efficient data structures and algorithms to quickly access and operate elements during data processing. 2. Expansion: Jin Collections support scalability, allowing developers to implement customized data structures according to their needs.By using Jin Collections, developers can easily build a variety of complex data structures. 3. Thread security: Jin Collections frameworks ensure thread security in a multi -threaded environment through reasonable lock strategies and concurrent control mechanisms.This makes the framework perform well in high concurrent applications. Main data structure: Jin Collections framework provides the following main efficient data structures. 1. Dynamic array: It is an array that can automatically adjust the size, which can dynamically grow or shrink as needed.This data structure enables developers to insert and delete elements at any position of the array. DynamicArray<Integer> dynamicArray = new DynamicArray<>(); dynamicArray.add(1); dynamicArray.add(2); dynamicArray.add(3); System.out.println (dynamicarray.get (1)); // Output: 2: 2 dynamicArray.remove(0); System.out.println (dynamicarray.size ()); // Output: 2: 2 2. Linked list: It is a data structure composed of a series of nodes, and each node is saved to reference to the next node.The main advantage of the linked list is that the efficiency of inserting and deleting elements is high, but the efficiency of access elements is low. LinkedList<String> linkedList = new LinkedList<>(); linkedList.add("apple"); linkedList.add("banana"); linkedList.add("orange"); System.out.println (linkedList.get (0)); // Output: Apple linkedList.remove(1); System.out.println (linkedList.size ()); // Output: 2 3. Hash Table: It is a data structure that stored data with key values to form data, and the key is mapped to the position of the hash table through the latency.The main advantage of the hash table is that the efficiency of finding and inserting elements is high, but the space overhead is large. HashTable<String, Integer> hashTable = new HashTable<>(); hashTable.put("apple", 1); hashTable.put("banana", 2); hashTable.put("orange", 3); System.out.println (hashtable.get ("banana"); // Output: 2 hashTable.remove("apple"); System.out.println (hashtable.size ()); // Output: 2 in conclusion: Jin Collections framework provides a set of high -performance data structures for Java developers to effectively solve various data processing problems.By using Jin Collections, developers can improve the efficiency of programs and reduce development time.Whether it is processing large -scale data or use in high concurrency environment, Jin Collections is a choice worth considering.