需求分析
项目中经常会遇到这种场景:一份数据需要在多处共享,有些数据还有时效性,过期自动失效。比如手机验证码,发送之后需要缓存起来,然后处于安全性考虑,一般还要设置有效期,到期自动失效。我们怎么实现这样的功能呢?
一
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
/**
* @Author: lixk
* @Date: 2018/5/9 15:03
* @Description: 简单的内存缓存工具类
*/
public class Cache {
/**
* 键值对集合
*/
private final static Map<String, Entity> map = new HashMap<>();
/**
* 定时器线程池,用于清除过期缓存
*/
private final static ScheduledExecutorService executor = Executors.newSingleThreadScheduledExecutor();
/**
* 添加缓存
*
* @param key 键
* @param data 值
*/
public synchronized static void put(String key, Object data) {
Cache.put(key, data, 0);
}
/**
* 添加缓存
*
* @param key 键
* @param data 值
* @param expire 过期时间,单位:毫秒, 0表示无限长
*/
public synchronized static void put(String key, Object data, long expire) {
//清除原键值对
Cache.remove(key);
//设置过期时间
if (expire > 0) {
Future future = executor.schedule(new Runnable() {
@Override
public void run() {
//过期后清除该键值对
synchronized (Cache.class) {
map.remove(key);
}
}
}, expire, TimeUnit.MILLISECONDS);
map.put(key, new Entity(data, future));
} else {
//不设置过期时间
map.put(key, new Entity(data, null));
}
}
/**
* 读取缓存
*
* @param key 键
* @return
*/
public synchronized static <T> T get(String key) {
Entity entity = map.get(key);
return entity == null ? null : (T) entity.value;
}
/**
* 清除缓存
*
* @param key 键
* @return
*/
public synchronized static <T> T remove(String key) {
//清除原缓存数据
Entity entity = map.remove(key);
if (entity == null) {
return null;
}
//清除原键值对定时器
if (entity.future != null) {
entity.future.cancel(true);
}
return (T) entity.value;
}
/**
* 查询当前缓存的键值对数量
*
* @return
*/
public synchronized static int size() {
return map.size();
}
/**
* 缓存实体类
*/
private static class Entity {
/**
* 键值对的value
*/
public Object value;
/**
* 定时器Future
*/
public Future future;
public Entity(Object value, Future future) {
this.value = value;
this.future = future;
}
}
}
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.atomic.AtomicInteger;
/**
* @Author: lixk
* @Date: 2018/5/9 16:40
* @Description: 缓存工具类测试
*/
public class CacheTest {
/**
* 测试
*
* @param args
*/
public static void main(String[] args) throws InterruptedException {
String key = "id";
//不设置过期时间
System.out.println("***********不设置过期时间**********");
Cache.put(key, 123);
System.out.println("key:" + key + ", value:" + Cache.get(key));
System.out.println("key:" + key + ", value:" + Cache.remove(key));
System.out.println("key:" + key + ", value:" + Cache.get(key));
//设置过期时间
System.out.println("\n***********设置过期时间**********");
Cache.put(key, "123456", 1000);
System.out.println("key:" + key + ", value:" + Cache.get(key));
Thread.sleep(2000);
System.out.println("key:" + key + ", value:" + Cache.get(key));
System.out.println("\n***********100w读写性能测试************");
//创建有10个线程的线程池,将1000000次操作分10次添加到线程池
int threads = 10;
ExecutorService pool = Executors.newFixedThreadPool(threads);
//每批操作数量
int batchSize = 100000;
//添加
{
CountDownLatch latch = new CountDownLatch(threads);
AtomicInteger n = new AtomicInteger(0);
long start = System.currentTimeMillis();
for (int t = 0; t < threads; t++) {
pool.submit(() -> {
for (int i = 0; i < batchSize; i++) {
int value = n.incrementAndGet();
Cache.put(key + value, value, 300000);
}
latch.countDown();
});
}
//等待全部线程执行完成,打印执行时间
latch.await();
System.out.printf("添加耗时:%dms\n", System.currentTimeMillis() - start);
}
//查询
{
CountDownLatch latch = new CountDownLatch(threads);
AtomicInteger n = new AtomicInteger(0);
long start = System.currentTimeMillis();
for (int t = 0; t < threads; t++) {
pool.submit(() -> {
for (int i = 0; i < batchSize; i++) {
int value = n.incrementAndGet();
Cache.get(key + value);
}
latch.countDown();
});
}
//等待全部线程执行完成,打印执行时间
latch.await();
System.out.printf("查询耗时:%dms\n", System.currentTimeMillis() - start);
}
System.out.println("当前缓存容量:" + Cache.size());
}
}
方法 作用
put(key, value) 插入缓存数据
put(key, value, expire) 插入带过期时间的缓存数据, expire: 过期时间,单位:毫秒
get(key) 获取缓存数据
remove(key) 删除缓存数据
size() 查询当前缓存记录数
二
//https://github.com/lixk?tab=repositories
import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.Executors;
import java.util.concurrent.Future;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
/**
* simple memory cache
*
* @author lixk
*/
public class ECache {
/**
* key-value data set
*/
private final static Map<String, Entity> DATA_BASE = new HashMap<>();
/**
* use scheduled executor to clean expired data
*/
private final static ScheduledExecutorService CLEANER = Executors.newSingleThreadScheduledExecutor();
/**
* put data to cache
*
* @param key unique identification for data
* @param value your data
*/
public synchronized static void put(String key, Object value) {
ECache.put(key, value, 0L);
}
/**
* put data to cache
*
* @param key unique identification for data
* @param value your data
* @param expire data survival time in milliseconds
*/
public synchronized static void put(final String key, final Object value, final long expire) {
//clean old data
ECache.remove(key);
//set schedule task
if (expire > 0L) {
Future future = CLEANER.schedule(new Runnable() {
@Override
public void run() {
//remove data
synchronized (ECache.class) {
DATA_BASE.remove(key);
}
}
}, expire, TimeUnit.MILLISECONDS);
DATA_BASE.put(key, new Entity(value, expire, future));
} else {
DATA_BASE.put(key, new Entity(value, null, null));
}
}
/**
* read data from cache
*
* @param key unique identification for data
* @return data bound to the key
*/
public synchronized static <T> T get(String key) {
Entity entity = DATA_BASE.get(key);
if (entity != null && entity.isAlive()) {
return (T) entity.value;
}
return null;
}
/**
* remove cached data
*
* @param key unique identification for data
* @return data bound to the key
*/
public synchronized static <T> T remove(String key) {
//remove data from data set
Entity entity = DATA_BASE.remove(key);
if (entity == null) {
return null;
}
//cancel the schedule task
if (entity.future != null) {
entity.future.cancel(true);
}
return entity.isAlive() ? (T) entity.value : null;
}
/**
* cached data entity
*/
private static class Entity {
Object value;
Long expirationTime;
Future future;
Entity(Object value, Long expire, Future future) {
this.value = value;
this.expirationTime = (expire == null ? null : System.currentTimeMillis() + expire);
this.future = future;
}
/**
* Judging whether the entity is still alive
*
* @return boolean
*/
boolean isAlive() {
return this.expirationTime == null || this.expirationTime >= System.currentTimeMillis();
}
}
}
public class ECacheTest {
public static void main(String[] args) throws InterruptedException {
ECache.put("id", 123);
Integer id = ECache.get("id");
System.out.println(id);
ECache.put("id", 123, 3000);
id = ECache.get("id");
System.out.println(id);
Thread.sleep(3001);
id = ECache.get("id");
System.out.println("expired id:"+id);
}
}