redis-cluster整合mybaits

import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
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.BinaryJedisCluster;
import redis.clients.jedis.HostAndPort;
import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPoolConfig;
  
  
public class MybatisRedisCache implements Cache {  
      
    private static Logger logger = LoggerFactory.getLogger(MybatisRedisCache.class);  
    private BinaryJedisCluster redisClient=createReids();  
     /** The ReadWriteLock. */    
    private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();   
      
    private String id;  
    
    private static Map<String, Jedis> jedisMap=new HashMap<String, Jedis>();
    
    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() {  
    	int i=Integer.valueOf(redisClient.dbSize().toString());
    	logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>getSize:"+i);  
        return i;  
    }  
  
    @Override  
    public void putObject(Object key, Object value) {  
        logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>putObject:"+key+"="+value);  
        redisClient.set(key.toString(), SerializeUtil.serialize(value));  
    }  
  
    @Override  
    public Object getObject(Object key) {  
        Object value = SerializeUtil.unserialize(redisClient.getBytes(key.toString()));  
        logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>getObject:"+key+"="+value);  
        return value;  
    }  
  
    @Override  
    public Object removeObject(Object key) {  
    	logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>removeObject:"+key);  
        return redisClient.expire(key.toString(),0);  
    }  
  
    @Override  
    public void clear() {  
    	logger.debug(">>>>>>>>>>>>>>>>>>>>>>>>clearObject:"+id);  
    	
    	for(Jedis je: jedisMap.values()){
    		je.flushDB();
    	}
    	
//          redisClient.flushDB();  
    }  
    @Override  
    public ReadWriteLock getReadWriteLock() {  
        return readWriteLock;  
    }  
    protected  static BinaryJedisCluster createReids(){  
//        
        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.setMaxTotal(500);
        //控制一个pool最多有多少个状态为idle(空闲的)的jedis实例。
        config.setMaxIdle(5);
        //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);
        
        int time_out=12*1000;
        
        Set<HostAndPort> hostAndPorts=new HashSet<HostAndPort>();
        hostAndPorts.add(new HostAndPort("zaqzaq1", 6379));
        hostAndPorts.add(new HostAndPort("zaqzaq2", 6379));
        hostAndPorts.add(new HostAndPort("zaqzaq3", 6379));
        
        
        Jedis jedis1=new Jedis("zaqzaq1", 6379);
        Jedis jedis2=new Jedis("zaqzaq2", 6379);
        Jedis jedis3=new Jedis("zaqzaq3", 6379);
        jedisMap.put("zaqzaq1", jedis1);
        jedisMap.put("zaqzaq2", jedis2);
        jedisMap.put("zaqzaq3", jedis3);
        
       return new BinaryJedisCluster(hostAndPorts,time_out,config); 
    }  
}

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package com.cloud.core.cache;

import java.io.ByteArrayInputStream;
import java.io.ByteArrayOutputStream;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;

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;
	}
}

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	<settings>
	    <!-- 这个配置使全局的映射器启用或禁用缓存 -->
	    <setting name="cacheEnabled" value="true" />
	    <!-- 对于未知的SQL查询，允许返回不同的结果集以达到通用的效果 -->    
	    <setting name="multipleResultSetsEnabled" value="true"/>
	    <!-- 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="REUSE" />
	    <!-- 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" />
	    <!-- <setting name="enhancementEnabled" value="true"/> -->
	    <!-- 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="25000" />
	</settings>

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 <!-- 缓存 -->
    <cache eviction="LRU" type="com.cloud.core.cache.MybatisRedisCache" readOnly="false" />

sql语句上特殊配置的属性有useCache,flushCache

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redis-cluster整合mybaits

原文：http://zaq369cde.iteye.com/blog/2181868