Disk Lru Cache in Java Class Library Realization Detailed Explanation
Disk Lru Cache in Java Class Library Realization Detailed Explanation In many applications, cache is one of the key factors to improve performance.DISK LRU (recently used) cache is a cache structure that is usually used to store data on the disk. It follows certain rules to minimize the speed of disk IO and increase the speed of data retrieval.This article will detailed how to achieve a DISK LRU cache in the Java class library and provide the necessary Java code example. First, let's outline the principle of the DISK LRU cache.Disk LRU cache stores the data in the physical file on the disk to avoid saving the data in memory.It is managed by placing the latest data on the front of the disk, and the minimum data used on the last surface of the disk is managed.In this way, when the cache size reaches the limit, only the last data block needs to be deleted without writing the entire cache to the disk. Next, let's see how to achieve the Disk Lru cache in Java.We can use a hashmap to store data in the cache. The key is the identifier in the cache, and the value is the reference to the corresponding disk file.In order to maintain the access order of data, we can also use a two -way linked list to place the recently used data in front of the linked list. The following is a simple example code that shows how to achieve the Disk LRU cache in Java: ```java import java.util.HashMap; public class DiskLRUCache { Private Final Int Max_cache_size = 100; // The maximum size of the cache private hashmap <string, node> cache; // cache hashmap Private Node Head; // Links head node Private Node Tail; // Links at the end of the linked list public DiskLRUCache() { this.cache = new HashMap<>(); } public void put(String key, Object value) { // If the cache is full, delete the tail node if (cache.size() >= MAX_CACHE_SIZE) { cache.remove(tail.key); removeNode(tail); } // If the cache key exists, move the node to the head of the linked list if (cache.containsKey(key)) { Node node = cache.get(key); node.value = value; removeNode(node); addToHead(node); } else { // If the cache key does not exist, create a new node and add to the head of the linked list Node newNode = new Node(key, value); cache.put(key, newNode); addToHead(newNode); } } public Object get(String key) { if (cache.containsKey(key)) { Node node = cache.get(key); removeNode(node); addToHead(node); return node.value; } return null; } private void addToHead(Node node) { node.prev = null; node.next = head; if (head != null) { head.prev = node; } head = node; if (tail == null) { tail = node; } } private void removeNode(Node node) { if (node.prev != null) { node.prev.next = node.next; } else { head = node.next; } if (node.next != null) { node.next.prev = node.prev; } else { tail = node.prev; } } private class Node { String key; Object value; Node prev; Node next; public Node(String key, Object value) { this.key = key; this.value = value; } } } ``` The `disklrucache` class in the above example code implements a simple disk LRU cache.The maximum size of the cache is 100. The cache data is stored by `HashMap`, and the linked list is used to maintain the access order of data.When inserting and obtaining data, the node moves from the linked list to the head according to the access. By using the above example code, you can achieve a simple but effective Disk Lru cache in your Java application.This will help you improve the access efficiency of data and reduce the burden on disk IO. To sum up, the Disk LRU cache is a commonly used disk data cache structure to improve the speed of data retrieval.This article details how to achieve the Disk Lru cache in the Java library and provide the corresponding Java code example.I hope this article can help you understand and apply Disk LRU cache.
