redis mybatis spring整合

最近想在框架里面加入redis，替换原因呢其实也没有，就是单纯的想替换掉

---维基百科：redis介绍

一般开发中用户状态使用session或者cookie，两种方式各种利弊。

Session:在InProc模式下容易丢失，并且引起并发问题。如果使用SQLServer或者SQLServer模式又消耗了性能

Cookie则容易将一些用户信息暴露，加解密同样也消耗了性能。

Redis采用这样的方案解决了几个问题，

1.Redis存取速度快。

2.用户数据不容易丢失。

3.用户多的情况下容易支持集群。

4.能够查看在线用户。

5.能够实现用户一处登录。（通过代码实现，后续介绍）

6.支持持久化。（当然可能没什么用）

然后研究了2天怎么去整合spring mybatis和redis...

新创建一个redis工具类

package cx.common.utils.redis;

import java.util.HashSet;
import java.util.Map;
import java.util.Set;

import org.apache.log4j.Logger;

import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;

/**
 *
 * @ClassName RedisUtils
 * @Description Redis缓存工具类
 * @author K
 * @Date 2016年6月22日 下午6:08:52
 * @version 1.0.0
 */
public class RedisUtils {

	private static Logger logger = Logger.getLogger(RedisUtils.class);

	/** 默认缓存时间 */
	private static final int DEFAULT_CACHE_SECONDS = 60 * 60 * 1;// 单位秒 设置成一个钟

	/** 连接池 **/
	private static JedisPool jedisPool;

	static {
		if (jedisPool == null) {
            JedisPoolConfig config = new JedisPoolConfig();
            //控制一个pool可分配多少个jedis实例，通过pool.getResource()来获取；
            //如果赋值为-1，则表示不限制；如果pool已经分配了maxActive个jedis实例，则此时pool的状态为exhausted(耗尽)。
            config.setMaxIdle(8);
            //控制一个pool最多有多少个状态为idle(空闲的)的jedis实例。
            config.setMaxTotal(8);
            //表示当borrow(引入)一个jedis实例时，最大的等待时间，如果超过等待时间，则直接抛出JedisConnectionException；
            config.setMaxWaitMillis(1000 * 100);
            //在borrow一个jedis实例时，是否提前进行validate操作；如果为true，则得到的jedis实例均是可用的；
            config.setTestOnBorrow(true);
            config.setMinEvictableIdleTimeMillis(60000);
            config.setTimeBetweenEvictionRunsMillis(30000);
            config.setNumTestsPerEvictionRun(-1);
            config.setMinIdle(0);
            jedisPool = new JedisPool(config, "192.168.11.247", 6379);
        }  

	}

	/**
	 * 释放redis资源
	 *
	 * @param jedis
	 */
	private static void releaseResource(Jedis jedis) {
		if (jedis != null) {
			jedisPool.returnResource(jedis);
		}
	}

	/**
	 * 删除Redis中的所有key
	 *
	 * @param jedis
	 * @throws Exception
	 */
	public static void flushAll() {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.flushAll();
		} catch (Exception e) {
			logger.error("Cache清空失败：" + e);
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 保存一个对象到Redis中(缓存过期时间:使用此工具类中的默认时间) . <br/>
	 *
	 * @param key
	 *            键 . <br/>
	 * @param object
	 *            缓存对象 . <br/>
	 * @return true or false . <br/>
	 * @throws Exception
	 */
	public static Boolean save(Object key, Object object) {
		return save(key, object, DEFAULT_CACHE_SECONDS);
	}

	/**
	 * 保存一个对象到redis中并指定过期时间
	 *
	 * @param key
	 *            键 . <br/>
	 * @param object
	 *            缓存对象 . <br/>
	 * @param seconds
	 *            过期时间（单位为秒）.<br/>
	 * @return true or false .
	 */
	public static Boolean save(Object key, Object object, int seconds) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.set(SerializeUtils.serialize(key), SerializeUtils.serialize(object));
			jedis.expire(SerializeUtils.serialize(key), seconds);
			return true;
		} catch (Exception e) {
			logger.error("Cache保存失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 根据缓存键获取Redis缓存中的值.<br/>
	 *
	 * @param key
	 *            键.<br/>
	 * @return Object .<br/>
	 * @throws Exception
	 */
	public static Object get(Object key) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			byte[] obj = jedis.get(SerializeUtils.serialize(key));
			return obj == null ? null : SerializeUtils.unSerialize(obj);
		} catch (Exception e) {
			logger.error("Cache获取失败：" + e);
			return null;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 根据缓存键清除Redis缓存中的值.<br/>
	 *
	 * @param key
	 * @return
	 * @throws Exception
	 */
	public static Boolean del(Object key) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.del(SerializeUtils.serialize(key));
			return true;
		} catch (Exception e) {
			logger.error("Cache删除失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 根据缓存键清除Redis缓存中的值.<br/>
	 *
	 * @param keys
	 * @return
	 * @throws Exception
	 */
	public static Boolean del(Object... keys) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.del(SerializeUtils.serialize(keys));
			return true;
		} catch (Exception e) {
			logger.error("Cache删除失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 *
	 * @param key
	 * @param seconds
	 *            超时时间（单位为秒）
	 * @return
	 */
	public static Boolean expire(Object key, int seconds) {

		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.expire(SerializeUtils.serialize(key), seconds);
			return true;
		} catch (Exception e) {
			logger.error("Cache设置超时时间失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 添加一个内容到指定key的hash中
	 *
	 * @param key
	 * @param field
	 * @param value
	 * @return
	 */
	public static Boolean addHash(String key, Object field, Object value) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			jedis.hset(SerializeUtils.serialize(key), SerializeUtils.serialize(field), SerializeUtils.serialize(value));
			return true;
		} catch (Exception e) {
			logger.error("Cache保存失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 从指定hash中拿一个对象
	 *
	 * @param key
	 * @param field
	 * @return
	 */
	public static Object getHash(Object key, Object field) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			byte[] obj = jedis.hget(SerializeUtils.serialize(key), SerializeUtils.serialize(field));
			return SerializeUtils.unSerialize(obj);
		} catch (Exception e) {
			logger.error("Cache读取失败：" + e);
			return null;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 从hash中删除指定filed的值
	 *
	 * @param key
	 * @param field
	 * @return
	 */
	public static Boolean delHash(Object key, Object field) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			long result = jedis.hdel(SerializeUtils.serialize(key), SerializeUtils.serialize(field));
			return result == 1 ? true : false;
		} catch (Exception e) {
			logger.error("Cache删除失败：" + e);
			return null;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 拿到缓存中所有符合pattern的key
	 *
	 * @param pattern
	 * @return
	 */
	public static Set<byte[]> keys(String pattern) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			Set<byte[]> allKey = jedis.keys(("*" + pattern + "*").getBytes());
			return allKey;
		} catch (Exception e) {
			logger.error("Cache获取失败：" + e);
			return new HashSet<byte[]>();
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 获得hash中的所有key value
	 *
	 * @param key
	 * @return
	 */
	public static Map<byte[], byte[]> getAllHash(Object key) {
		Jedis jedis = null;
		try {
			jedis = jedisPool.getResource();
			Map<byte[], byte[]> map = jedis.hgetAll(SerializeUtils.serialize(key));
			return map;
		} catch (Exception e) {
			logger.error("Cache获取失败：" + e);
			return null;
		} finally {
			releaseResource(jedis);
		}
	}

	/**
	 * 判断一个key是否存在
	 *
	 * @param key
	 * @return
	 */
	public static Boolean exists(Object key) {
		Jedis jedis = null;
		Boolean result = false;
		try {
			jedis = jedisPool.getResource();
			result = jedis.exists(SerializeUtils.serialize(key));
			return result;
		} catch (Exception e) {
			logger.error("Cache获取失败：" + e);
			return false;
		} finally {
			releaseResource(jedis);
		}
	}

	public void setjedisPool(JedisPool jedisPool) {
		RedisUtils.jedisPool = jedisPool;
	}

	public static JedisPool getjedisPool() {
        return jedisPool;
	}
}

创建一个序列化工具类

package cx.common.utils.redis;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import org.apache.log4j.Logger;

/**
 *
 * @ClassName SerializeUtils
 * @Description 序列化工具
 * @author K
 * @Date 2016年6月24日 上午9:44:38
 * @version 1.0.0
 */
public class SerializeUtils {

	private static Logger logger = Logger.getLogger(SerializeUtils.class);

	/**
	 *
	 * @Description 序列化
	 * @param object
	 * @return
	 * @throws Exception
	 */
	public static byte[] serialize(Object object) throws Exception {
		if(object == null) return null;
		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) {
			logger.error(e);
			throw e;
		}
	}

	/**
	 *
	 * @Description 反序列化
	 * @param bytes
	 * @return
	 * @throws Exception
	 */
	public static Object unSerialize(byte[] bytes) throws Exception {
		if(bytes == null) return null;
		ByteArrayInputStream bais = null;
		try {
			// 反序列化
			bais = new ByteArrayInputStream(bytes);
			ObjectInputStream ois = new ObjectInputStream(bais);
			return ois.readObject();
		} catch (Exception e) {
			logger.error(e);
			throw e;
		}
	}
}

redis 管理

package cx.common.utils.redis.springImpl;

import java.util.Collection;

import org.springframework.cache.Cache;
import org.springframework.cache.support.AbstractCacheManager;

/**
 *
 * @ClassName CacheManager
 * @Description 继承了 spring 的 AbstractCacheManager 管理 RedisCache 类缓存管理
 * @author K
 * @Date 2016年6月27日 下午1:55:49
 * @version 1.0.0
 * @param <T>
 */
public class CacheManager<T extends Object> extends AbstractCacheManager {

	private Collection<? extends RedisCache> caches;

	public void setCaches(Collection<? extends RedisCache> caches) {
		this.caches = caches;
	}

	@Override
	protected Collection<? extends Cache> loadCaches() {
		return this.caches;
	}
}

继承spring缓存来实现redis

package cx.service.shiro.mybatis.cache.redis;

import org.apache.ibatis.cache.decorators.LoggingCache;
/**
 *
 * @ClassName MybatiesRedisCache
 * @Description  根据SPring API 自定义一个缓存类 ，实现Redis 缓存
 * @author K
 * @Date 2016年6月27日 下午3:30:52
 * @version 1.0.0
 */
public class MybatiesRedisCache  extends LoggingCache  {

	public MybatiesRedisCache(String id) {
        super(new RedisCache(id));
	}
}

redis初始化 和连接池

package cx.service.shiro.mybatis.cache.redis;

import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.exceptions.JedisConnectionException;
import cx.common.utils.redis.RedisUtils;

/**
 *
 * @ClassName CachePool
 * @Description redis 初始化
 * 由于需结合Mybatis实现 不与Spring redis注解实现混用。
 * 与Spring redis注解实现 各独立实现各自功能。
 * @author K
 * @Date 2016年6月27日 下午3:29:03
 * @version 1.0.0
 */
public class CachePool {

	 JedisPool pool;
     private static final CachePool cachePool = new CachePool();
     private  RedisUtils readisUtils = new RedisUtils();

     /**单例模式*/
     public static CachePool getInstance(){
             return cachePool;
     }  

     /**初始化*/
	private CachePool() {
              pool = readisUtils.getjedisPool();
     }  

     public  Jedis getJedis(){
             Jedis jedis = null;
             boolean borrowOrOprSuccess = true;
             try {
                     jedis = pool.getResource();
             } catch (JedisConnectionException e) {
                     borrowOrOprSuccess = false;
                     if (jedis != null)
                             pool.returnBrokenResource(jedis);
             } finally {
                     if (borrowOrOprSuccess)
                             pool.returnResource(jedis);
             }
             jedis = pool.getResource();
             return jedis;
     }  

     public JedisPool getJedisPool(){
             return this.pool;
     }
}

实现

package cx.service.shiro.mybatis.cache.redis;

import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.ibatis.cache.Cache;
import cx.common.utils.redis.SerializeUtils;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;
import redis.clients.jedis.exceptions.JedisConnectionException;

/**
 *
 * @ClassName RedisCache
 * @Description Mybatis 接口 实现 redis 功能 类
 * @author K
 * @Date 2016年6月27日 下午3:29:45
 * @version 1.0.0
 */
public class RedisCache implements Cache {

	private static Log log = LogFactory.getLog(RedisCache.class);
	private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();

	private String id;

	public RedisCache(final String id) {
		if (id == null) {
			throw new IllegalArgumentException("必须传入ID");
		}
		log.debug("MybatisRedisCache:id=" + id);
		this.id = id;
	}

	@Override
	public String getId() {
		return this.id;
	}

	@Override
	public int getSize() {
		Jedis jedis = null;
		JedisPool jedisPool = null;
		int result = 0;
		boolean borrowOrOprSuccess = true;
		try {
			jedis = CachePool.getInstance().getJedis();
			jedisPool = CachePool.getInstance().getJedisPool();
			result = Integer.valueOf(jedis.dbSize().toString());
		} catch (JedisConnectionException e) {
			borrowOrOprSuccess = false;
			if (jedis != null)
				jedisPool.returnBrokenResource(jedis);
		} finally {
			if (borrowOrOprSuccess)
				jedisPool.returnResource(jedis);
		}
		return result;

	}

	@Override
	public void putObject(Object key, Object value) {
		if (log.isDebugEnabled())
			log.debug("putObject:" + key.hashCode() + "=" + value);
		if (log.isInfoEnabled())
			log.info("put to redis sql :" + key.toString());
		Jedis jedis = null;
		JedisPool jedisPool = null;
		boolean borrowOrOprSuccess = true;
		try {
			jedis = CachePool.getInstance().getJedis();
			jedisPool = CachePool.getInstance().getJedisPool();
			jedis.set(SerializeUtils.serialize(key.hashCode()), SerializeUtils.serialize(value));
		} catch (JedisConnectionException e) {
			borrowOrOprSuccess = false;
			if (jedis != null)
				jedisPool.returnBrokenResource(jedis);
		} catch (Exception e) {
			e.printStackTrace();
		} finally {
			if (borrowOrOprSuccess)
				jedisPool.returnResource(jedis);
		}

	}

	@Override
	public Object getObject(Object key) {
		Jedis jedis = null;
		JedisPool jedisPool = null;
		Object value = null;
		boolean borrowOrOprSuccess = true;
		try {
			jedis = CachePool.getInstance().getJedis();
			jedisPool = CachePool.getInstance().getJedisPool();
			System.out.println(key.hashCode());
			System.out.println(SerializeUtils.serialize(key.hashCode()));
			System.out.println(jedis.get(SerializeUtils.serialize(key.hashCode())));
			value = SerializeUtils.unSerialize(jedis.get(SerializeUtils.serialize(key.hashCode())));
		} catch (JedisConnectionException e) {
			borrowOrOprSuccess = false;
			if (jedis != null)
				jedisPool.returnBrokenResource(jedis);
		} catch (Exception e) {
			e.printStackTrace();
		} finally {
			if (borrowOrOprSuccess)
				jedisPool.returnResource(jedis);
		}
		if (log.isDebugEnabled())
			log.debug("getObject:" + key.hashCode() + "=" + value);
		return value;
	}

	@Override
	public Object removeObject(Object key) {
		Jedis jedis = null;
		JedisPool jedisPool = null;
		Object value = null;
		boolean borrowOrOprSuccess = true;
		try {
			jedis = CachePool.getInstance().getJedis();
			jedisPool = CachePool.getInstance().getJedisPool();
			value = jedis.expire(SerializeUtils.serialize(key.hashCode()), 0);
		} catch (JedisConnectionException e) {
			borrowOrOprSuccess = false;
			if (jedis != null)
				jedisPool.returnBrokenResource(jedis);
		} catch (Exception e) {
			e.printStackTrace();
		} finally {
			if (borrowOrOprSuccess)
				jedisPool.returnResource(jedis);
		}
		if (log.isDebugEnabled())
			log.debug("getObject:" + key.hashCode() + "=" + value);
		return value;
	}

	@Override
	public void clear() {
		Jedis jedis = null;
		JedisPool jedisPool = null;
		boolean borrowOrOprSuccess = true;
		try {
			jedis = CachePool.getInstance().getJedis();
			jedisPool = CachePool.getInstance().getJedisPool();
			jedis.flushDB();
			jedis.flushAll();
		} catch (JedisConnectionException e) {
			borrowOrOprSuccess = false;
			if (jedis != null)
				jedisPool.returnBrokenResource(jedis);
		} finally {
			if (borrowOrOprSuccess)
				jedisPool.returnResource(jedis);
		}
	}

	@Override
	public ReadWriteLock getReadWriteLock() {
		return readWriteLock;
	}

}

redis配置文件spring-jedis.xml

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xmlns:p="http://www.springframework.org/schema/p"
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:aop="http://www.springframework.org/schema/aop"
	xmlns:cache="http://www.springframework.org/schema/cache"
	xmlns:tx="http://www.springframework.org/schema/tx"
	xsi:schemaLocation="http://www.springframework.org/schema/beans
           http://www.springframework.org/schema/beans/spring-beans-3.2.xsd
           http://www.springframework.org/schema/aop
           http://www.springframework.org/schema/aop/spring-aop-3.2.xsd
           http://www.springframework.org/schema/tx
           http://www.springframework.org/schema/tx/spring-tx-3.2.xsd
            http://www.springframework.org/schema/cache
            http://www.springframework.org/schema/cache/spring-cache.xsd
           http://www.springframework.org/schema/context
           http://www.springframework.org/schema/context/spring-context-3.2.xsd"
	default-autowire="byName" default-lazy-init="false">

	<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
		<property name="testWhileIdle" value="true" />
		<property name="minEvictableIdleTimeMillis" value="60000" />
		<property name="timeBetweenEvictionRunsMillis" value="30000" />
		<property name="numTestsPerEvictionRun" value="-1" />
		<property name="maxTotal" value="8" />
		<property name="maxIdle" value="8" />
		<property name="minIdle" value="0" />
	</bean>

	<bean id="shardedJedisPool" class="redis.clients.jedis.ShardedJedisPool">
		<constructor-arg index="0" ref="jedisPoolConfig" />
		<constructor-arg index="1">
			<list>
				<bean class="redis.clients.jedis.JedisShardInfo">
					<constructor-arg index="0" value="192.168.11.247" />
					<constructor-arg index="1" value="6379" type="int" />
				</bean>
			</list>
		</constructor-arg>
	</bean>

  	 <!-- generic cache manager -->
   <cache:annotation-driven />
   <!-- generic cache manager -->
   <bean id="cacheManager" class="cx.common.utils.redis.springImpl.CacheManager">
     <property name="caches">
       <set>
         <bean
           class="cx.common.utils.redis.springImpl.RedisCache"
           p:name="redisCache" />
       </set>
     </property>
   </bean> 

</beans>

mybatis配置文件mybatis-config.xml中开启缓存

<settings>
		<!-- 这个配置使全局的映射器启用或禁用 缓存 -->
<span style="color:#FF0000;">		<setting name="cacheEnabled" value="true" /></span>
		<!-- 全局启用或禁用延迟加载。当禁用时, 所有关联对象都会即时加载 -->
		<setting name="lazyLoadingEnabled" value="false" />
	    <setting name="aggressiveLazyLoading" value="true" />
		<!-- 允许或不允许多种结果集从一个单独 的语句中返回(需要适合的驱动) -->
		<setting name="multipleResultSetsEnabled" value="true" />
		<!-- 使用列标签代替列名。 不同的驱动在这 方便表现不同。 参考驱动文档或充分测 试两种方法来决定所使用的驱动 -->
		<setting name="useColumnLabel" value="true" />
		<!-- 允许 JDBC 支持生成的键。 需要适合的 驱动。 如果设置为 true 则这个设置强制 生成的键被使用, 尽管一些驱动拒绝兼 容但仍然有效(比如
			Derby) -->
		<setting name="useGeneratedKeys" value="false" />
		<!-- 配置默认的执行器。SIMPLE 执行器没 有什么特别之处。REUSE 执行器重用 预处理语句。BATCH 执行器重用语句 和批量更新 -->
		<setting name="defaultExecutorType" value="SIMPLE" />
		<!-- 设置超时时间, 它决定驱动等待一个数 据库响应的时间 -->
		<setting name="defaultStatementTimeout" value="100" />
		<setting name="safeRowBoundsEnabled" value="false" />
		<setting name="mapUnderscoreToCamelCase" value="false" />
		<setting name="localCacheScope" value="SESSION" />
		<setting name="jdbcTypeForNull" value="OTHER" />
		<setting name="lazyLoadTriggerMethods" value="equals,clone,hashCode,toString" />
	</settings>

添加缓存到mybatis.mapper sql文中

<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<!--定义mybatis自身应用信息-->
<mapper namespace="cx.service.shiro.dao.impl.SysConfigDaoImpl">

<!--redis缓存-->
<cache eviction="LRU" type="cx.service.shiro.mybatis.cache.redis.MybatiesRedisCache" />

<!--数据库表名-->
<sql id="table">SYS_CONFIG</sql>

	<!--配置映射文件-->
<resultMap id="BaseResultMap" type="cx.facade.shiro.entity.SysConfig">
	<id column="id" property="id" />
	<result column="name" property="name" />
	<result column="config_keys" property="configKeys" />
	<result column="config_value" property="configValue" />
	<result column="description" property="description" />
	<result column="is_sys" property="isSys" />
	<result column="create_by" property="createBy" />
	<result column="create_date" property="createDate" />
	<result column="update_by" property="updateBy" />
	<result column="update_date" property="updateDate" />
	<result column="status" property="status" />
</resultMap>

<sql id="condition_sql">
	<if test="id != null and id != ''"> and id = #{id}</if>
	<if test="name != null and name != ''"> and name = #{name}</if>
	<if test="configKeys != null and configKeys != ''"> and config_keys = #{configKeys}</if>
	<if test="configValue != null and configValue != ''"> and config_value = #{configValue}</if>
	<if test="description != null and description != ''"> and description = #{description}</if>
	<if test="isSys != null and isSys != ''"> and is_sys = #{isSys}</if>
	<if test="createBy != null and createBy != ''"> and create_by = #{createBy}</if>
	<if test="createDate != null and createDate != ''"> and create_date = #{createDate}</if>
	<if test="updateBy != null and updateBy != ''"> and update_by = #{updateBy}</if>
	<if test="updateDate != null and updateDate != ''"> and update_date = #{updateDate}</if>
	<if test="status != null and status != ''"> and status = #{status}</if>
</sql>

<insert id="insert" useGeneratedKeys="true"  keyProperty="id" parameterType="cx.facade.shiro.entity.SysConfig" <span style="color:#FF0000;">flushCache="true"</span>>
	insert into
	<include refid="table" />
	(id,name,config_keys,config_value,description,is_sys,create_by,create_date,update_by,update_date,status)
	values (
	#{id},#{name},#{configKeys},#{configValue},#{description},#{isSys},#{createBy},#{createDate},#{updateBy},#{updateDate},#{status})
</insert>

<update id="update" parameterType="cx.facade.shiro.entity.SysConfig" <span style="color:#FF0000;">flushCache="true"</span>>
	update
	<include refid="table" />
	<set>
		id = #{id},
		name = #{name},
		config_keys = #{configKeys},
		config_value = #{configValue},
		description = #{description},
		is_sys = #{isSys},
		create_by = #{createBy},
		create_date = #{createDate},
		update_by = #{updateBy},
		update_date = #{updateDate},
		status = #{status}
	</set>
	<where>
		<include refid="condition_sql" />
	</where>

</update>

<select id="listPage" parameterType="java.util.Map" resultMap="BaseResultMap" <span style="color:#FF0000;">flushCache="false" useCache="true"</span>>
	SELECT * FROM
	<include refid="table" />
	<where>
		<include refid="condition_sql" />
	</where>
		<![CDATA[ order by key desc]]>
</select>

<insert id="batchInsert" parameterType="cx.facade.shiro.entity.SysConfig" <span style="color:#FF0000;">flushCache="true"</span>>
	insert into
	<include refid="table" />
	(id,name,config_keys,config_value,description,is_sys,create_by,create_date,update_by,update_date,status)
	values (
	<foreach collection="list" item="item" index="index" separator=",">
	#{id},#{name},#{configKeys},#{configValue},#{description},#{isSys},#{createBy},#{createDate},#{updateBy},#{updateDate},#{status})
	</foreach>
</insert>

<select id="listBy" parameterType="java.util.Map" resultMap="BaseResultMap" <span style="color:#FF0000;">flushCache="false" useCache="true"</span>>
	SELECT * FROM
	<include refid="table" />
	<where>
		<include refid="condition_sql" />
	</where>
</select>

</mapper>

<span style="color:#FF0000;"></span>

在MyBatis中有flushCache、useCache这两个配置属性，分为下面几种情况：

（1）当为select语句时：

flushCache默认为false，表示任何时候语句被调用，都不会去清空本地缓存和二级缓存。

useCache默认为true，表示会将本条语句的结果进行二级缓存。

（2）当为insert、update、delete语句时：

flushCache默认为true，表示任何时候语句被调用，都会导致本地缓存和二级缓存被清空。

useCache属性在该情况下没有。

上面的信息我是从MyBatis官方文档中找到的，会发现当为select语句的时候，如果没有去配置flushCache、useCache，那么默认是启用缓存的，所以，如果有必要，那么就需要人工修改配置，修改结果类似下面：

<select id="save" parameterType="XXXXXEO" statementType="CALLABLE" flushCache="true" useCache="false">
    ……
</select>

然后编写测试类

package cx.service.dubbotest;

import java.util.Date;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.springframework.context.support.ClassPathXmlApplicationContext;

import cx.facade.shiro.entity.SysCompany;
import cx.facade.shiro.entity.SysConfig;
import cx.service.shiro.biz.SysCompanyBiz;
import cx.service.shiro.biz.SysConfigBiz;

/**
 *
 * @ClassName SpringMybatisRedis
 * @Description redis测试用的MainClass.
 * @author K
 * @Date 2016年6月22日 上午11:14:30
 * @version 1.0.0
 */
public class SpringMybatisRedis {
	private static final Log log = LogFactory.getLog(SpringMybatisRedis.class);

	@SuppressWarnings("resource")
	public static void main(String[] args) {

		try {
			ClassPathXmlApplicationContext context = new ClassPathXmlApplicationContext("classpath:spring/spring-context.xml");
			context.start();
	        SysConfigBiz sysConfigBiz = (SysConfigBiz) context.getBean("sysConfigBiz");
	        SysCompanyBiz sysCompanyBiz = (SysCompanyBiz) context.getBean("sysCompanyBiz"); 

	        SysCompany sysCompany =new SysCompany();
	        sysCompany.setCompanyCode("562w2s49qd653l7311");
	        sysCompany.setParentCode("jk1");
	        sysCompany.setUpdateBy("jkjk");
	        sysCompany.setUpdateDate(new Date());
	        sysCompany.setCreateBy("jkjk");
	        sysCompany.setCreateDate(new Date());
//	        sysCompanyBiz.insertCompany(sysCompany);

	        SysConfig sysConfig = new SysConfig();
	        sysConfig.setId("562w2s49qd653l7311");
	        sysConfig.setConfigKeys("jkjk");
	        sysConfig.setConfigValue("jkjk");
	        sysConfig.setName("jkjk");
	        sysConfig.setCreateBy("jkjk");
	        sysConfig.setCreateDate(new Date());
	        sysConfig.setDescription("jkjk");
	        sysConfig.setIsSys("1");
	        sysConfig.setStatus("0");
	        sysConfig.setUpdateBy("jkjk");
	        sysConfig.setUpdateDate(new Date());
//	        sysConfigBiz.insertConfig(sysConfig);
	        Map<String, Object> paramMap = new HashMap<String, Object>();
	        paramMap.put("id", "503882516984905728");
	        SysConfig dsds = sysConfigBiz.getConfig(paramMap);
//	        List<SysConfig> dsds = sysConfigBiz.getConfigs(paramMap);
	        paramMap = new HashMap<String, Object>();
	        paramMap.put("copanyCode", "562w2s495d653l7311");
	        List<SysCompany> qwdas = sysCompanyBiz.getCompanys(paramMap);
//	        SysConfig dsds = sysConfigBiz.getConfig(paramMap);
			System.out.println("*****************************jk**********************:");
//			System.out.println(dsds.getId()+"*****************************jk**********************:");
//			for (int i = 0; i < dsds.size(); i++) {
//				System.out.println("配置:"+dsds.get(i).getId());
//			}
			for (int i = 0; i < qwdas.size(); i++) {
				System.out.println("组织:"+qwdas.get(i).getCompanyCode());
			}
			context.stop();
		} catch (Exception e) {
			log.error("== DubboProvider context start error:", e);
		}finally {
			log.info("===>System.exit");
			System.exit(0);
		}

	}

}

经过测试就发现写的时候清空缓存，读的时候先读区缓存，缓存没有读区数据库，然后在放入到缓存。

时间： 2024-10-11 20:53:52

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