The purpose and characteristics of the ConcurrentlinkedhashMap framework in the Java class library
ConcurrentlinkedhashMap (Clhm) is a Java library that provides an efficient concurrent hash mapping framework, which is suitable for data cache and storage in high -concurrency environment.Clhm uses a linked list -based hash table implementation method, which can maintain high performance in high concurrency conditions, and provide thread security operations in a multi -threaded environment.
The main features of the ConcurrentlinkedhashMap framework include:
1. High -combined hair performance: Clhm uses a linked list -based hash table implementation method, which can maintain high performance in high concurrency conditions, suitable for large -scale concurrent access scenes.
2. LRU cache elimination strategy: Clhm supports the cache elimination strategy based on LRU (recently used), which can automatically eliminate data that has not been used for a long time, thereby maintaining the effective use of cache space.
3. Thread security: CLHM considers the security in multi -threaded environment in design, which can ensure data consistency and thread security in multi -threaded environments.
4. Ejaculation: The design of the ClHM framework considers the scene of concurrent access, which can better cope with the situation of large -scale concurrent access, and has good ejaculation.
The use of the ClHM framework mainly includes but not limited to:
1. Data cache: In high concurrency network services, CLHM can be used to achieve data cache, improve access performance, and reduce the pressure of rear storage.
2. Data storage: CLHM can be used as a storage container for data, which can well cope with the situation of multi -threaded concurrent access.
3. Distributed computing: In a distributed computing system, ClHM can be implemented as the underlying layer of a distributed cache to store the calculation results and temporary data.
Example code:
import com.googlecode.concurrentlinkedhashmap.ConcurrentLinkedHashMap;
import java.util.Map;
public class ConcurrentLinkedHashMapExample {
public static void main(String[] args) {
// Create a ClHM instance with a maximum capacity of 100
Map<Integer, String> cache = new ConcurrentLinkedHashMap.Builder<Integer, String>()
.maximumWeightedCapacity(100)
.build();
// Storage data from clhm
cache.put(1, "value1");
cache.put(2, "value2");
cache.put(3, "value3");
// Obtain data from CLHM
String value = cache.get(2);
System.out.println (value); // Output: value2
}
}
The above example code demonstrates how to use the ConcurrentlinkedhashMap framework to create a cache instance with a maximum capacity of 100, and perform data storage and obtaining operations.In practical applications, more detailed configuration and use can be performed according to specific needs.