您的位置:首页 > 数据库 > Redis

spring与spring-data-redis整合redis

2016-11-10 14:20 423 查看
<?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:task="http://www.springframework.org/schema/task"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:jdbc="http://www.springframework.org/schema/jdbc"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-4.0.xsd http://www.springframework.org/schema/task http://www.springframework.org/schema/task/spring-task-4.0.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.0.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-4.0.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-4.0.xsd http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-4.0.xsd"> 
<!--
其中order属性代表其加载顺序,
而ignoreUnresolvablePlaceholders为是否忽略不可解析的 Placeholder,
如配置了多个PropertyPlaceholderConfigurer,则需设置为true
其中classpath是引用src目录下的文件写法。
-->
<bean id="propertyConfigurerRedis" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
<property name="order" value="1" />
<property name="ignoreUnresolvablePlaceholders" value="true" />
<property name="locations">
<list>
<value>classpath:redis.properties</value>
</list>
</property>
</bean>

<!-- 单个redis配置 -->
<!-- redis连接池的配置 -->
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}"/>
<property name="minIdle" value="${redis.minIdle}"/>
<property name="testOnBorrow" value="${redis.testOnBorrow}"/>
<property name="testOnReturn" value="${redis.testOnReturn}"/>
</bean>
<!-- redis的连接池pool,不是必选项:timeout/password  -->
<bean id = "jedisPool" class="redis.clients.jedis.JedisPool">
<constructor-arg index="0" ref="jedisPoolConfig"/>
<constructor-arg index="1" value="${redis.host}"/>
<constructor-arg index="2" value="${redis.port}" type="int"/> <!-- port-->
<constructor-arg index="3" value="${redis.timeout}" type="int"/> <!-- timeout -->
<constructor-arg index="4" value="${redis.password}"/>  <!-- password -->
</bean>

<!-- 以下是spring-data-redis配置方式 -->
<bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
p:host-name="${redis.host}" p:port="${redis.port}" p:password="${redis.password}" p:pool-config-ref="jedisPoolConfig"/>

<!--  SDR默认采用的序列化策略有两种,一种是String的序列化策略,一种是JDK的序列化策略。
StringRedisTemplate默认采用的是String的序列化策略,保存的key和value都是采用此策略序列化保存的。
RedisTemplate默认采用的是JDK的序列化策略,保存的key和value都是采用此策略序列化保存的。
就是因为序列化策略的不同,即使是同一个key用不同的Template去序列化,结果是不同的。所以根据key去删除数据的时候就出现了删除失败的问题。
-->
<!-- redis 序列化策略 ,通常情况下key值采用String序列化策略, -->
<!-- 如果不指定序列化策略,StringRedisTemplate的key和value都将采用String序列化策略; -->
<!-- 但是RedisTemplate的key和value都将采用JDK序列化 这样就会出现采用不同template保存的数据不能用同一个template删除的问题 -->
<bean id="stringRedisSerializer"  class="org.springframework.data.redis.serializer.StringRedisSerializer" />
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="connectionFactory" />
<property name="keySerializer" ref="stringRedisSerializer" />
<property name="hashKeySerializer" ref="stringRedisSerializer" />
<property name="valueSerializer" ref="stringRedisSerializer"/>
</bean>

<!-- redis jedisCluster集群配置 -->
<!-- <bean name="genericObjectPoolConfig" class="org.apache.commons.pool2.impl.GenericObjectPoolConfig" >
<property name="maxWaitMillis" value="-1" />
<property name="maxTotal" value="1000" />
<property name="minIdle" value="8" />
<property name="maxIdle" value="100" />
</bean>
<bean id="jedisCluster" class="cn.zsmy.palmdoctor.redis.JedisClusterFactory">
<property name="addressConfig">
<value>classpath:redis.properties</value>
</property>
<property name="addressKeyPrefix" value="address" />    属性文件里  key的前缀
<property name="password" value="123456" /> redis密码
<property name="timeout" value="300000" />
<property name="maxRedirections" value="6" />
<property name="genericObjectPoolConfig" ref="genericObjectPoolConfig" />
</bean> -->

</beans>


spring-context-jedis-cluster.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:context="http://www.springframework.org/schema/context"
xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.2.xsd http://www.springframework.org/schema/context  http://www.springframework.org/schema/context/spring-context-3.2.xsd"> 
<description>Jedis Cluster Configuration集群</description>
<!-- 加载配置属性文件 按需加载 -->
<context:property-placeholder ignore-unresolvable="true" location="classpath:redis-cluster.properties" />
<bean id="redisClusterConfiguration" class="org.springframework.data.redis.connection.RedisClusterConfiguration">
<property name="maxRedirects" value="${redis.maxRedirects}"></property>
<property name="clusterNodes">
<set>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host1}"></constructor-arg>
<constructor-arg name="port" value="${redis.port1}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host2}"></constructor-arg>
<constructor-arg name="port" value="${redis.port2}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host3}"></constructor-arg>
<constructor-arg name="port" value="${redis.port3}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host4}"></constructor-arg>
<constructor-arg name="port" value="${redis.port4}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host5}"></constructor-arg>
<constructor-arg name="port" value="${redis.port5}"></constructor-arg>
</bean>
<bean class="org.springframework.data.redis.connection.RedisClusterNode">
<constructor-arg name="host" value="${redis.host6}"></constructor-arg>
<constructor-arg name="port" value="${redis.port6}"></constructor-arg>
</bean>
</set>
</property>
</bean>
<bean id="jedisPoolConfig"   class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxTotal" value="${redis.maxTotal}" />
</bean>
<bean id="jeidsConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"  >
<constructor-arg ref="redisClusterConfiguration" />
<constructor-arg ref="jedisPoolConfig" />
</bean>

<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="jeidsConnectionFactory" />
</bean>
</beans>


redis-cluster.properties
#cluster configuration
redis.host1=xx.xx.xx.xx
redis.port1=7000

redis.host2=xx.xx.xx.xx
redis.port2=7001

redis.host3=xx.xx.xx.xx
redis.port3=7002

redis.host4=xx.xx.xx.xx
redis.port4=7000

redis.host5=xx.xx.xx.xx
redis.port5=7001

redis.host6=xx.xx.xx.xx
redis.port6=7002
redis.maxRedirects=3
redis.maxIdle=100
redis.maxTotal=600


package cn.zsmy.palmdoctor.redis;

import java.io.Serializable;
import java.util.ArrayList;
import java.util.HashSet;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;
import java.util.concurrent.TimeUnit;

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.dao.DataAccessException;
import org.springframework.data.redis.connection.RedisConnection;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.ListOperations;
import org.springframework.data.redis.core.RedisCallback;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.stereotype.Service;

@Service
public class RedisUtil
{

@Autowired
@Qualifier("redisTemplate")
public RedisTemplate<String, Object> redisTemplate;

@Autowired
@Qualifier("redisTemplate")
protected RedisTemplate<Serializable, Serializable> redisTemplateSerializable;

/**
* 缓存基本的对象,Integer、String、实体类等
* @param key    缓存的键值
* @param value    缓存的值
* @return        缓存的对象
*/
public void setCacheObject(String key, Object value)
{
redisTemplate.opsForValue().set(key,value);
}

/**
* 获得缓存的基本对象。
* @param key        缓存键值
* @param operation
* @return            缓存键值对应的数据
*/
public Object getCacheObject(String key/*,ValueOperations<String,T> operation*/)
{
return redisTemplate.opsForValue().get(key);
}

/**
* 缓存List数据
* @param key        缓存的键值
* @param dataList    待缓存的List数据
* @return            缓存的对象
*/
public Object setCacheList(String key, List<Object> dataList)
{
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
if(null != dataList)
{
int size = dataList.size();
for(int i = 0; i < size ; i ++)
{
listOperation.rightPush(key,dataList.get(i));
}
}
return listOperation;
}

/**
* 获得缓存的list对象
* @param key    缓存的键值
* @return        缓存键值对应的数据
*/
public List<Object> getCacheList(String key)
{
List<Object> dataList = new ArrayList<Object>();
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
Long size = listOperation.size(key);

for(int i = 0 ; i < size ; i ++)
{
dataList.add(listOperation.leftPop(key));
}
return dataList;
}

/**
* 获得缓存的list对象
* @Title: range
* @Description: TODO(这里用一句话描述这个方法的作用)
* @param @param key
* @param @param start
* @param @param end
* @param @return
* @return List<T>    返回类型
* @throws
*/
public List<Object> range(String key, long start, long end)
{
ListOperations<String, Object> listOperation = redisTemplate.opsForList();
return listOperation.range(key, start, end);
}

/**
* list集合长度
* @param key
* @return
*/
public Long listSize(String key) {
return redisTemplate.opsForList().size(key);
}

/**
* 覆盖操作,将覆盖List中指定位置的值
* @param key
* @param int index 位置
* @param String
*            value 值
* @return 状态码
* */
public void listSet(String key, int index, Object obj) {
redisTemplate.opsForList().set(key, index, obj);
}

/**
* 向List尾部追加记录
*
* @param String
*            key
* @param String
*            value
* @return 记录总数
* */
public long leftPush(String key, Object obj) {
return redisTemplate.opsForList().leftPush(key, obj);
}

/**
* 向List头部追加记录
*
* @param String
*            key
* @param String
*            value
* @return 记录总数
* */
public long rightPush(String key, Object obj) {
return redisTemplate.opsForList().rightPush(key, obj);
}

/**
* 算是删除吧,只保留start与end之间的记录
*
* @param String
*            key
* @param int start 记录的开始位置(0表示第一条记录)
* @param int end 记录的结束位置(如果为-1则表示最后一个,-2,-3以此类推)
* @return 执行状态码
* */
public void trim(String key, int start, int end) {
redisTemplate.opsForList().trim(key, start, end);
}

/**
* 删除List中c条记录,被删除的记录值为value
*
* @param String
*            key
* @param int c 要删除的数量,如果为负数则从List的尾部检查并删除符合的记录
* @param Object
*            obj 要匹配的值
* @return 删除后的List中的记录数
* */
public long remove(String key, long i, Object obj) {
return redisTemplate.opsForList().remove(key, i, obj);
}

/**
* 缓存Set
* @param key        缓存键值
* @param dataSet    缓存的数据
* @return            缓存数据的对象
*/
public BoundSetOperations<String, Object> setCacheSet(String key,Set<Object> dataSet)
{
BoundSetOperations<String, Object> setOperation = redisTemplate.boundSetOps(key);
/*T[] t = (T[]) dataSet.toArray();
setOperation.add(t);*/

Iterator<Object> it = dataSet.iterator();
while(it.hasNext())
{
setOperation.add(it.next());
}
return setOperation;
}

/**
* 获得缓存的set
* @param key
* @param operation
* @return
*/
public Set<Object> getCacheSet(String key/*,BoundSetOperations<String,T> operation*/)
{
Set<Object> dataSet = new HashSet<Object>();
BoundSetOperations<String,Object> operation = redisTemplate.boundSetOps(key);

Long size = operation.size();
for(int i = 0 ; i < size ; i++)
{
dataSet.add(operation.pop());
}
return dataSet;
}

/**
* 缓存Map
* @param key
* @param dataMap
* @return
*/
public int setCacheMap(String key,Map<String, Object> dataMap)
{
if(null != dataMap)
{
HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
for (Map.Entry<String, Object> entry : dataMap.entrySet()) {
/*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue());  */
if(hashOperations != null){
hashOperations.put(key,entry.getKey(),entry.getValue());
} else{
return 0;
}
}
} else{
return 0;
}
return dataMap.size();
}

/**
* 获得缓存的Map
* @param key
* @param hashOperation
* @return
*/
public Map<Object, Object> getCacheMap(String key/*,HashOperations<String,String,T> hashOperation*/)
{
Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
/*Map<String, T> map = hashOperation.entries(key);*/
return map;
}

/**
* 缓存Map
* @param key
* @param dataMap
* @return
*/
public void setCacheIntegerMap(String key,Map<Integer, Object> dataMap)
{
HashOperations<String, Object, Object> hashOperations = redisTemplate.opsForHash();
if(null != dataMap)
{
for (Map.Entry<Integer, Object> entry : dataMap.entrySet()) {
/*System.out.println("Key = " + entry.getKey() + ", Value = " + entry.getValue());  */
hashOperations.put(key,entry.getKey(),entry.getValue());
}

}
}

/**
* 获得缓存的Map
* @param key
* @param hashOperation
* @return
*/
public Map<Object, Object> getCacheIntegerMap(String key/*,HashOperations<String,String,T> hashOperation*/)
{
Map<Object, Object> map = redisTemplate.opsForHash().entries(key);
/*Map<String, T> map = hashOperation.entries(key);*/
return map;
}

/**
* 从hash中删除指定的存储
*
* @param String
* @return 状态码,1成功,0失败
* */
public long deleteMap(String key) {
redisTemplate.setEnableTransactionSupport(true);
return redisTemplate.opsForHash().delete(key);
}

/**
* 设置过期时间
* @param key
* @param time
* @param unit
* @return
*/
public boolean expire(String key, long time, TimeUnit unit) {
return redisTemplate.expire(key, time, unit);
}

/**
* increment
* @param key
* @param step
* @return
*/
public long increment(String key, long step) {
return redisTemplate.opsForValue().increment(key, step);
}

//redisTemplateSerializable

/**
* 删除redis的所有数据
*/
/*@SuppressWarnings({"unchecked", "rawtypes"})
public String flushDB() {
return redisTemplateSerializable.execute(new RedisCallback() {
public String doInRedis(RedisConnection connection) throws DataAccessException {
connection.flushDb();
return "ok";
}
});
}*/

public long del(final byte[] key) {
return (long) redisTemplateSerializable.execute(new RedisCallback<Object>() {
public Long doInRedis(RedisConnection connection) {
return connection.del(key);
}
});
}

@SuppressWarnings({"unchecked", "rawtypes"})
public byte[] get(final byte[] key) {
return (byte[]) redisTemplateSerializable.execute(new RedisCallback() {
public byte[] doInRedis(RedisConnection connection) throws DataAccessException {
return connection.get(key);
}
});
}

/**
* @param key
* @param value
* @param liveTime
*/
public void set(final byte[] key, final byte[] value, final long liveTime) {
redisTemplateSerializable.execute(new RedisCallback<Object>() {
public Long doInRedis(RedisConnection connection) throws DataAccessException {
connection.set(key, value);
if (liveTime > 0) {
connection.expire(key, liveTime);
}
return 1L;
}
});
}

}


package cn.zsmy.palmdoctor.redis;

import java.util.HashSet;
import java.util.Properties;
import java.util.Set;
import java.util.regex.Pattern;

import org.apache.commons.pool2.impl.GenericObjectPoolConfig;
import org.springframework.beans.factory.FactoryBean;
import org.springframework.beans.factory.InitializingBean;
import org.springframework.core.io.Resource;

import redis.clients.jedis.HostAndPort;
import redis.clients.jedis.JedisCluster;

public class JedisClusterFactory implements FactoryBean<JedisCluster>, InitializingBean {

private Resource addressConfig;
private String addressKeyPrefix ;
private String password;

private JedisCluster jedisCluster;
private Integer timeout;
private Integer maxRedirections;
private GenericObjectPoolConfig genericObjectPoolConfig;

private Pattern p = Pattern.compile("^.+[:]\\d{1,5}\\s*$");

@Override
public JedisCluster getObject() throws Exception {
return jedisCluster;
}

@Override
public Class<? extends JedisCluster> getObjectType() {
return (this.jedisCluster != null ? this.jedisCluster.getClass() : JedisCluster.class);
}

@Override
public boolean isSingleton() {
return true;
}

private Set<HostAndPort> parseHostAndPort() throws Exception {
try {
Properties prop = new Properties();
prop.load(this.addressConfig.getInputStream());

Set<HostAndPort> haps = new HashSet<HostAndPort>();
for (Object key : prop.keySet()) {

if (!((String) key).startsWith(addressKeyPrefix)) {
continue;
}

String val = (String) prop.get(key);

boolean isIpPort = p.matcher(val).matches();

if (!isIpPort) {
throw new IllegalArgumentException("ip 或 port 不合法");
}
String[] ipAndPort = val.split(":");

HostAndPort hap = new HostAndPort(ipAndPort[0], Integer.parseInt(ipAndPort[1]));
haps.add(hap);
}

return haps;
} catch (IllegalArgumentException ex) {
throw ex;
} catch (Exception ex) {
throw new Exception("解析 jedis 配置文件失败", ex);
}
}

@Override
public void afterPropertiesSet() throws Exception {
Set<HostAndPort> haps = this.parseHostAndPort();

//jedisCluster = new JedisCluster(haps, timeout, maxRedirections,genericObjectPoolConfig);
jedisCluster = new JedisCluster(haps, timeout, 2000, maxRedirections, password, genericObjectPoolConfig);
}
public void setAddressConfig(Resource addressConfig) {
this.addressConfig = addressConfig;
}

public void setTimeout(int timeout) {
this.timeout = timeout;
}

public void setMaxRedirections(int maxRedirections) {
this.maxRedirections = maxRedirections;
}

public void setAddressKeyPrefix(String addressKeyPrefix) {
this.addressKeyPrefix = addressKeyPrefix;
}

public void setGenericObjectPoolConfig(GenericObjectPoolConfig genericObjectPoolConfig) {
this.genericObjectPoolConfig = genericObjectPoolConfig;
}

public void setPassword(String password) {
this.password = password;
}

}


package cn.zsmy.palmdoctor.redis;

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

import cn.zsmy.constant.Constant;

/**
* @author shm
*/
public class SerializeUtil {

public static byte[] serialize(Object value) {
if (value == null) {
throw new NullPointerException("Can't serialize null");
}
byte[] rv = null;
ByteArrayOutputStream bos = null;
ObjectOutputStream os = null;
try {
bos = new ByteArrayOutputStream();
os = new ObjectOutputStream(bos);
os.writeObject(value);
os.close();
bos.close();
rv = bos.toByteArray();
} catch (Exception e) {
e.printStackTrace();
Constant.MY_LOG.info("serialize error");
} finally {
close(os);
close(bos);
}
return rv;
}

public static Object deserialize(byte[] in) {
return deserialize(in, Object.class);
}

@SuppressWarnings("unchecked")
public static <T> T deserialize(byte[] in, Class<T> requiredType) {
Object rv = null;
ByteArrayInputStream bis = null;
ObjectInputStream is = null;
try {
if (in != null) {
bis = new ByteArrayInputStream(in);
is = new ObjectInputStream(bis);
rv = is.readObject();
}
} catch (Exception e) {
e.printStackTrace();
Constant.MY_LOG.info("deserialize error");
} finally {
close(is);
close(bis);
}
return (T) rv;
}

private static void close(Closeable closeable) {
if (closeable != null)
try {
closeable.close();
} catch (IOException e) {
e.printStackTrace();
Constant.MY_LOG.info("close stream error");
}
}

}
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签: