SSM（Maven）基于Spring -Cache注解整合Redis

ゞ浴缸里的玫瑰 2022-05-22 13:13 189阅读 0赞

这是基于SSM 架构整合Spring-Cache与Redis的整合（SSM整合这里就不详细介绍了大家自行在网上查阅）

1.pom.xml 引入一下redis的依赖包

<dependency>  
                 <groupId>org.springframework.data</groupId>  
                <artifactId>spring-data-redis</artifactId>  
                 <version>1.6.1.RELEASE</version>  
             </dependency>  
              <dependency>  
                 <groupId>redis.clients</groupId>  
                <artifactId>jedis</artifactId>  
                <version>2.7.3</version>  
            </dependency>

2.Redis关键类，用于CRUD操作 --- RedisUtil

package cn.com.teacher.redis;
    
    import java.io.ByteArrayInputStream;
    import java.io.ByteArrayOutputStream;
    import java.io.IOException;
    import java.io.ObjectInputStream;
    import java.io.ObjectOutputStream;
    import java.util.concurrent.Callable;
    
    import org.springframework.cache.Cache;
    import org.springframework.cache.support.SimpleValueWrapper;
    import org.springframework.dao.DataAccessException;
    import org.springframework.data.redis.connection.RedisConnection;
    import org.springframework.data.redis.core.RedisCallback;
    import org.springframework.data.redis.core.RedisTemplate;
    
    public class RedisUtil implements Cache {
    
    	private RedisTemplate<String, Object> redisTemplate;
    	private String name;
    
    	public RedisTemplate<String, Object> getRedisTemplate() {
    		return redisTemplate;
    	}
    
    	public void setRedisTemplate(RedisTemplate<String, Object> redisTemplate) {
    		this.redisTemplate = redisTemplate;
    	}
    
    	public void setName(String name) {
    		this.name = name;
    	}
    
    	@Override
    	public String getName() {
    		return this.name;
    	}
    
    	@Override
    	public Object getNativeCache() {
    		return this.redisTemplate;
    	}
    
    	/**
    	 * 从缓存中获取key
    	 */
    	@Override
    	public ValueWrapper get(Object key) {
    		System.out.println("get key");
    		final String keyf = key.toString();
    		Object object = null;
    		object = redisTemplate.execute(new RedisCallback<Object>() {
    			public Object doInRedis(RedisConnection connection) throws DataAccessException {
    				byte[] key = keyf.getBytes();
    				byte[] value = connection.get(key);
    				if (value == null) {
    					return null;
    				}
    				return toObject(value);
    			}
    		});
    		return (object != null ? new SimpleValueWrapper(object) : null);
    	}
    
    	/**
    	 * 将一个新的key保存到缓存中 先拿到需要缓存key名称和对象，然后将其转成ByteArray
    	 */
    	@Override
    	public void put(Object key, Object value) {
    		System.out.println("put key");
    		final String keyf = key.toString();
    		final Object valuef = value;
    		//final long liveTime = 0;
    		redisTemplate.execute(new RedisCallback<Long>() {
    			public Long doInRedis(RedisConnection connection) throws DataAccessException {
    				byte[] keyb = keyf.getBytes();
    				byte[] valueb = toByteArray(valuef);
    				connection.set(keyb, valueb);
    				/*if (liveTime > 0) {
    					connection.expire(keyb, liveTime);
    				}*/
    				return 1L;
    			}
    		});
    	}
    
    	private byte[] toByteArray(Object obj) {
    		byte[] bytes = null;
    		ByteArrayOutputStream bos = new ByteArrayOutputStream();
    		try {
    			ObjectOutputStream oos = new ObjectOutputStream(bos);
    			oos.writeObject(obj);
    			oos.flush();
    			bytes = bos.toByteArray();
    			oos.close();
    			bos.close();
    		} catch (IOException ex) {
    			ex.printStackTrace();
    		}
    		return bytes;
    	}
    
    	private Object toObject(byte[] bytes) {
    		Object obj = null;
    		try {
    			ByteArrayInputStream bis = new ByteArrayInputStream(bytes);
    			ObjectInputStream ois = new ObjectInputStream(bis);
    			obj = ois.readObject();
    			ois.close();
    			bis.close();
    		} catch (IOException ex) {
    			ex.printStackTrace();
    		} catch (ClassNotFoundException ex) {
    			ex.printStackTrace();
    		}
    		return obj;
    	}
    
    	/**
    	 * 删除key
    	 */
    	@Override
    	public void evict(Object key) {
    		System.out.println("del key");
    		final String keyf = key.toString();
    		redisTemplate.execute(new RedisCallback<Long>() {
    			public Long doInRedis(RedisConnection connection) throws DataAccessException {
    				return connection.del(keyf.getBytes());
    			}
    		});
    	}
    
    	/**
    	 * 清空key
    	 */
    	@Override
    	public void clear() {
    		System.out.println("clear key");
    		redisTemplate.execute(new RedisCallback<String>() {
    			public String doInRedis(RedisConnection connection) throws DataAccessException {
    				connection.flushDb();
    				return "ok";
    			}
    		});
    	}
    
    	@Override
    	public <T> T get(Object key, Class<T> type) {
    		return null;
    	}
    
    	@Override
    	public ValueWrapper putIfAbsent(Object key, Object value) {
    		return null;
    	}
    
    	@Override
    	public <T> T get(Object arg0, Callable<T> arg1) {
    		// TODO Auto-generated method stub
    		return null;
    	}
    
    }

3.Spring整合redis配置文件---spring-redis.xml

4.redis.properties---redis配置相关属性文件

redis.maxIdle=300
    redis.minIdle=100
    redis.maxWaitMillis=3000
    redis.testOnBorrow=true
    redis.maxTotal=500
    redis.host=127.0.0.1
    redis.port=6379
    redis.password=

5.springMVC配置文件中添加一下配置

<context:annotation-config/>
    
    <cache:annotation-driven/>

6.web.xml中添加一下代码

<context-param>
        <param-name>contextConfigLocation</param-name>
    	<param-value>
                classpath:/spring-redis.xml
            </param-value>
    </context-param>

7.在service对应的方法上添加以下注解用对Redis缓存清除和添加

@Override
      @CacheEvict(value = {"getUser", "getUserById"}, allEntries = true)  //添加缓存
      public void updateUser(UserVO user) {
            userDao.updateUser(user);

}

@Override
        @Cacheable(value="User",key="getUserById")//清除指定
        public UserVO getUserById(int id) {
            return userDao.getUserById(id);
        }