package guavacache;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeUnit; import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;
import com.google.common.cache.RemovalListener;
import com.google.common.cache.RemovalNotification; public class cachetest {
public static class Student {
private int id;
public String name; public int getId() {
return id;
} public void setId(int id) {
this.id = id;
} public String getName() {
return name;
} public void setName(String name) {
this.name = name;
} @Override
public String toString() {
return id + "| " + name;
}
} public static void main(String[] args) throws ExecutionException, InterruptedException {
// 缓存接口这里是LoadingCache,LoadingCache在缓存项不存在时可以自动加载缓存
LoadingCache<Integer, Student> studentCache
// CacheBuilder的构造函数是私有的,只能通过其静态方法newBuilder()来获得CacheBuilder的实例
= CacheBuilder.newBuilder()
// 设置并发级别为8,并发级别是指可以同时写缓存的线程数
.concurrencyLevel(8)
// 设置写缓存后8秒钟过期
.expireAfterWrite(18, TimeUnit.SECONDS)
// 设置缓存容器的初始容量为10
.initialCapacity(2)
// 设置缓存最大容量为100,超过100之后就会按照LRU最近虽少使用算法来移除缓存项
.maximumSize(2)
// 设置要统计缓存的命中率
.recordStats()
// 设置缓存的移除通知
.removalListener(new RemovalListener<Object, Object>() {
public void onRemoval(RemovalNotification<Object, Object> notification) {
System.out.println(
notification.getKey() + " was removed, cause is " + notification.getCause());
}
}) // build方法中可以指定CacheLoader,在缓存不存在时通过CacheLoader的实现自动加载缓存
.build(new CacheLoader<Integer, Student>() {
@Override
public Student load(Integer key) throws Exception {
System.out.println("load student " + key);
Student student = new Student();
student.setId(key);
student.setName("name " + key);
return student;
}
}); // for (int i = 0; i < 20; i++) {
// // 从缓存中得到数据,由于我们没有设置过缓存,所以需要通过CacheLoader加载缓存数据
// Student student = studentCache.get(i);
// System.out.println(student);
// // 休眠1秒
// TimeUnit.SECONDS.sleep(1);
// } System.out.println("cache stats:");
// 最后打印缓存的命中率等 情况
System.out.println(studentCache.stats().toString());
} }
测试最大容量LRU算法, 感觉更像是把使用时间最近的保留
Student student = studentCache.get(1);
System.out.println(student);
student = studentCache.get(1);
System.out.println(student);
student = studentCache.get(1);
System.out.println(student); student = studentCache.get(2);
System.out.println(student); student = studentCache.get(3);
System.out.println(student);
结果为 1 was removed, cause is SIZE
maven
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>18.0</version>
</dependency>