Mybatis采用redis实现二级缓存

Mybatis的缓存,可以分为一级缓存与二级缓存。一级缓存以一次sqlSession为单位,保存查找的信息。每次有更新操作的时候,例如删除,添加,修改等这些操作,缓存区都会刷新。二级缓存以一个或者多个namespace为单位,保存信息。一个简述,不再细讲。
Mybatis提供了一个Cache接口,在我们要实现自己的缓存机制时,需要自己去实现这个接口。

Cache接口与方法:

下面是源码,方法都是见名析义的,自个加了些注释。

public interface Cache {

/**
* @return The identifier of this cache
*/
String getId();//返回ID,顾名思义,在自己实现接口时,也要定义一个ID属性,并且返回。

/**
* @param key Can be any object but usually it is a {@link CacheKey}
* @param value The result of a select.
*/
/**
设置key-value,就是通过键值对的方式缓存数据,mybatis的一级缓存也是通过Map这样实现的。
*/
void putObject(Object key, Object value);

/**
* @param key The key
* @return The object stored in the cache.
*/
/**
根据key查找value
*/
Object getObject(Object key);

/**
* As of 3.3.0 this method is only called during a rollback
* for any previous value that was missing in the cache.
* This lets any blocking cache to release the lock that
* may have previously put on the key.
* A blocking cache puts a lock when a value is null
* and releases it when the value is back again.
* This way other threads will wait for the value to be
* available instead of hitting the database.
*
*
* @param key The key
* @return Not used
*/
/**
按照key移除value
*/
Object removeObject(Object key);

/**
* Clears this cache instance
* 清除整个缓存空间。
*/
void clear();

/**
* Optional. This method is not called by the core.
* 返回缓存的数目
* @return The number of elements stored in the cache (not its capacity).
*/
int getSize();

/**
* Optional. As of 3.2.6 this method is no longer called by the core.
*
* Any locking needed by the cache must be provided internally by the cache provider.
* 可重入读写锁制
* @return A ReadWriteLock
*/
ReadWriteLock getReadWriteLock();

}

基本是这样子,其中,有几个方法一定要有具体的实现。分别是
储值,取值,按key移除,整个清空四个方法。另外,还要实现一个带有ID参数的构造器,否则会抛异常。
怎么使用jedis,网上有很多,就不再说了。自己写的代码如下:

import org.apache.ibatis.cache.Cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.data.redis.connection.jedis.JedisConnection;
import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializer;
import redis.clients.jedis.exceptions.JedisConnectionException;

import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

/**
* 测试,Mybatis采用Redis作为二级缓存
*/
public class RedisCacheTest implements Cache {

/**
 * logger
 */
private static Logger logger = LoggerFactory.getLogger(RedisCacheTest.class);   
private String id;
private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();
private static JedisConnectionFactory jedisConnectionFactory;
private static String expire;

public RedisCacheTest() {}
public RedisCacheTest(String id) {
    if (id == null) {
        throw new IllegalArgumentException("Cache instances require an ID");
    }
    this.id = id;
}

public String getId() {
    return id;
}

public void putObject(Object key, Object value) {
    JedisConnection jedisConnection = null;
    jedisConnectionFactory.afterPropertiesSet();
    try {
        jedisConnection = jedisConnectionFactory.getConnection();
        RedisSerializer serializer = new JdkSerializationRedisSerializer();
        jedisConnection.set(serializer.serialize(key), serializer.serialize(value));
        jedisConnection.expire(serializer.serialize(key),Integer.valueOf(expire));//设置此次key的失效时间
    } catch (JedisConnectionException e) {
        e.printStackTrace();
        logger.error( e.getMessage());
    } finally {
        if (jedisConnection != null) {
            jedisConnection.close();
        }
    }
}

public Object getObject(Object key) {
    JedisConnection jedisConnection = null;
    jedisConnectionFactory.afterPropertiesSet();
    byte[] result;
    Object res = null;
    try {
        jedisConnection = jedisConnectionFactory.getConnection();
        RedisSerializer serializer = new JdkSerializationRedisSerializer();
        result = jedisConnection.get(serializer.serialize(key));
        res = serializer.deserialize(result);
    } catch (JedisConnectionException e) {
        e.printStackTrace();
    } finally {
        if (jedisConnection != null) {
            jedisConnection.close();
        }
    }

    return res;
}

public Object removeObject(Object key) {
    jedisConnectionFactory.afterPropertiesSet();
    JedisConnection connection = null;
    Object result = null;
    try {
        connection = jedisConnectionFactory.getConnection();
        RedisSerializer serializer = new JdkSerializationRedisSerializer();
        result = connection.expire(serializer.serialize(key), 0);
    } catch (JedisConnectionException e) {
        e.printStackTrace();
    } finally {
        if (connection != null) {
            connection.close();
        }
    }
    return result;
}

public void clear() {
    JedisConnection jedisConnection = null;
    jedisConnectionFactory.afterPropertiesSet();
    try {
        jedisConnection = jedisConnectionFactory.getConnection(); //连接清除数据
        jedisConnection.flushDb();
        jedisConnection.flushAll();
    } catch (JedisConnectionException e) {
        e.printStackTrace();
    } finally {
        if (jedisConnection != null) {
            jedisConnection.close();
        }
    }
}

public int getSize() {
    jedisConnectionFactory.afterPropertiesSet();
    int result = 0;
    JedisConnection jedisConnection = null;
    try {
        jedisConnection = jedisConnectionFactory.getConnection();
        result = Integer.valueOf(jedisConnection.dbSize().toString());
    } catch (JedisConnectionException e) {
        e.printStackTrace();
    } finally {
        if (jedisConnection != null) {
            jedisConnection.close();
        }
    }
    return result;
}

public ReadWriteLock getReadWriteLock() {
    return this.readWriteLock;
}

public static void setJedisConnectionFactory(JedisConnectionFactory jedisConnectionFactory) {
    RedisCacheTest.jedisConnectionFactory = jedisConnectionFactory;
}

public static void setExpires(String expire){
    RedisCacheTest.expire = expire;
}
 
  

}


****依赖****
==========

关于Mybatis的依赖就不说了,关于redis的依赖主要有以下几个,这些依赖最好不要用最新的正式版,而是用前几个版本的,否则出了错不好找答案。当然,大神忽视。

  org.apache.directory.studio
  org.apache.commons.pool
  1.6




  org.apache.commons
  commons-pool2
  2.0

    
  org.springframework.data
  spring-data-redis
  1.2.1.RELEASE

    
  redis.clients
  jedis
  2.5.0


**xml配置**
---------

xml配置主要就是mybatis的mapper文件的设置,一个spring整合mybatis的xml配置。网上有很多,照着用就好了。

**spring-redis的配置主要片段如下**


    
        false
    




    
    
        6379
    
    
    
        10000
    
    


mapper文件里要新写一个标签,<catch />标签,这个标签主要有四个属性。

给一下官方解释的地址,

> http://www.mybatis.org/mybatis-3/sqlmap-xml.html#cache。

有四个属性,大概解释一下:
type:要使用的缓存类,可以用官方默认的,自己实现了之后,就要换成自己的二级缓存实现类;
flushInterval:缓存的刷新周期,要配合下面select标签的flushCache属性使用;
size:缓存的数量,默认就是1024;
eviction:缓存的刷新策略;有四种,FIFO,先入先出,LRU,最少使用的移除,SOFTWEAK;


============================
****mybatis的配置文件,要开启二级缓存的配置:****

    
    
    
    
    
    
    
    
    

“`

大体上spring里面用redis作mybatis的二级缓存就是这样了。有一个刷新的问题,cache标签设置了flushInterval属性后并没有起到作用,最后是通过设置redis的key失效时间,间接实现的。

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