mybatis默认缓存是PerpetualCache，可以查看一下它的源码，发现其是Cache接口的实现；那么我们的缓存只要实现该接口即可。
编写Redis需要用的2个工具类 RedisUtil.java和SerializeUtil.java。这个在前一篇已经有过，这里不再重复贴代码了。
该接口有以下方法需要实现：
String getId();
int getSize();
void putObject(Object key, Object value);
Object getObject(Object key);
Object removeObject(Object key);
void clear();
ReadWriteLock getReadWriteLock();
1 实现类：
package app.platform.mybatis import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock; import org.apache.ibatis.cache.Cache;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig; public class MybatisRedisCache implements Cache { private static Logger logger = LoggerFactory.getLogger(MybatisRedisCache.class);
private Jedis redisClient=createReids();
/** The ReadWriteLock. */
private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock(); private String id; public MybatisRedisCache(final String id) {
if (id == null) {
throw new IllegalArgumentException("Cache instances require an ID");
}
logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>MybatisRedisCache:id="+id);
this.id = id;
}
@Override
public String getId() {
return this.id;
} @Override
public int getSize() { return Integer.valueOf(redisClient.dbSize().toString());
} @Override
public void putObject(Object key, Object value) {
logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>putObject:"+key+"="+value);
redisClient.set(SerializeUtil.serialize(key.toString()), SerializeUtil.serialize(value));
} @Override
public Object getObject(Object key) {
Object value = SerializeUtil.unserialize(redisClient.get(SerializeUtil.serialize(key.toString())));
logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>getObject:"+key+"="+value);
return value;
} @Override
public Object removeObject(Object key) {
return redisClient.expire(SerializeUtil.serialize(key.toString()),);
} @Override
public void clear() {
redisClient.flushDB();
}
@Override
public ReadWriteLock getReadWriteLock() {
return readWriteLock;
}
protected static Jedis createReids(){
JedisPool pool = new JedisPool(new JedisPoolConfig(), "10.12.162.85");
return pool.getResource();
}
2序列化类
public class SerializeUtil {
public static byte[] serialize(Object object) {
ObjectOutputStream oos = null;
ByteArrayOutputStream baos = null;
try {
//序列化
baos = new ByteArrayOutputStream();
oos = new ObjectOutputStream(baos);
oos.writeObject(object);
byte[] bytes = baos.toByteArray();
return bytes;
} catch (Exception e) {
e.printStackTrace();
}
return null;
}
public static Object unserialize(byte[] bytes) {
ByteArrayInputStream bais = null;
try {
//反序列化
bais = new ByteArrayInputStream(bytes);
ObjectInputStream ois = new ObjectInputStream(bais);
return ois.readObject();
} catch (Exception e) {
}
return null;
}
2 spring中的mybatis配置
<!-- mybatis配置 -->
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
<property name="dataSource" ref="dataSource" />
<property name="mapperLocations" value="classpath*:app/mapper/**/*.xml"/>
<property name="configLocation" value="classpath:/mybatis/mybatis-config.xml" />
</bean>
3 mybatis-config.xml 中的settings配制
<settings>
<!-- 开启缓存支持 -->
<setting name="cacheEnabled" value="true" />
.......
</settings>
4 在需要加缓存的sqlMap中加入<cache eviction="LRU" type="app.platform.mybatis.MybatisRedisCache" />
例：
<mapper namespace="SYS_ROLE">
<!-- 缓存 -->
<cache eviction="LRU" type="app.platform.mybatis.MybatisRedisCache" />
<!-- 查询所有 -->
<select id="findAll" parameterType="HashMap" resultType="HashMap">
select
<include refid="base_column" />
from SYS_ROLE
where 1=1
<if test="BUS_TYPE!=null and BUS_TYPE!=''">
and BUS_TYPE =#{BUS_TYPE}
</if>
<if test="ENABLE!=null and ENABLE!=''">
and ENABLE =#{ENABLE}
</if>
<if test="ROLE_NAME!=null and ROLE_NAME!=''">
and ROLE_NAME like '%'||#{ROLE_NAME}||'%'
</if>
<if test="ROLE_OTHER_NAME!=null and ROLE_OTHER_NAME!=''">
and ROLE_OTHER_NAME like '%'||#{ROLE_OTHER_NAME}||'%'
</if>
</select>
</mapper>
本文转自http://blog.csdn.net/fhx007/article/details/12680875 感谢作者