mybatis整合redis
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()),0); } @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