spring 和 redis整合，并且使用redis做session缓存服务器
所需jar
- commons-pool2-2.0.jar
- jedis-2.9.0.jar
- spring-data-redis-1.6.2.RELEASE.jar
- spring-session-1.2.1.RELEASE.jar
一 . xml配置文件
<bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxTotal" value="${redis.maxTotal}" />
<property name="maxWaitMillis" value="${redis.maxWaitMillis}"/>
<property name="testOnBorrow" value="${redis.testOnBorrow}" />
<property name="testOnReturn" value="${redis.testOnReturn}"/>
bean>
<bean id="jedisConnectionFactory"
class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"
destroy-method="destroy">
<property name="hostName" value="${redis.host}" />
<property name="port" value="${redis.port}" />
<property name="poolConfig" ref="jedisPoolConfig" />
bean>
<bean id="redisJdkSerializer" class="com.***.RedisJdkSerializer" />
<bean id="defaultCookieSerializer" class="org.springframework.session.web.http.DefaultCookieSerializer">
<property name="cookieName" value="JSESSIONID"/>
bean>
<bean id="redisHttpSessionConfiguration" class="org.springframework.session.data.redis.config.annotation.web.http.RedisHttpSessionConfiguration">
<property name="defaultRedisSerializer" ref="redisJdkSerializer" />
<property name="maxInactiveIntervalInSeconds" value="1800"/>
<property name="cookieSerializer" ref="defaultCookieSerializer"/>
bean>二. redis配置项
redis.host=127.0.0.1
redis.port=6379
redis.maxIdle=300
redis.maxTotal=600
redis.maxWaitMillis=1000
redis.testOnBorrow=true
redis.testOnReturn=false三. web.xml配置session代理，让spring接管session
注意： 放在第一个filter
<filter>
<filter-name>springSessionRepositoryFilterfilter-name>
<filter-class>org.springframework.web.filter.DelegatingFilterProxyfilter-class>
filter>
<filter-mapping>
<filter-name>springSessionRepositoryFilterfilter-name>
<url-pattern>/*url-pattern>
filter-mapping>四. 重写jdk序列化（如果没反序列化出错的问题不需要此项）
public class RedisJdkSerializer implements RedisSerializer<Object> {
private Converterbyte[]> serializer = new SerializingConverter();
public Object deserialize(byte[] bytes) {
if (bytes == null || bytes.length == 0) {
return null;
}
try {
ByteArrayInputStream byteStream = new ByteArrayInputStream(bytes);
ObjectInputStream objectInputStream = new ObjectInputStream(byteStream);
return objectInputStream.readObject();
} catch (Exception ex) {
throw new SerializationException("Cannot deserialize", ex);
}
}
public byte[] serialize(Object object) {
if (object == null) {
return new byte[0];
}
try {
return serializer.convert(object);
} catch (Exception ex) {
throw new SerializationException("Cannot serialize", ex);
}
}
} 五. 附上RedisOpsUtil操作类
public class RedisOpsUtil {
private static RedisTemplate redisTemplate;
private static MdbRedisOpsUtil mdbRedisOpsUtil;
/**
* 前缀
*/
public static final String KEY_PREFIX_VALUE = "default:value:";
public static final String KEY_PREFIX_SET = "default:set:";
public static final String KEY_PREFIX_LIST = "default:list:";
public static MdbRedisOpsUtil newInstance(){
if(null == mdbRedisOpsUtil){
mdbRedisOpsUtil=new MdbRedisOpsUtil();
}
return mdbRedisOpsUtil;
}
private MdbRedisOpsUtil(){
redisTemplate=getRedisTemplate();
}
/**
* 获取spring redis模板操作
*/
public RedisTemplate getRedisTemplate(){
if(null == redisTemplate){
redisTemplate=(RedisTemplate)ApplicationContextManager.get("redisTemplate");
}
return redisTemplate;
}
/**
* 获取redis针对值数据缓存操作
* @author luxian.zhang
* @return
*/
public ValueOperations opsForValue(Class c){
return redisTemplate.opsForValue();
}
/**
* 获取redis针对列表数据缓存操作，元素有序，不唯一
* @author luxian.zhang
* @return
*/
public ListOperations opsForList(Class c){
return redisTemplate.opsForList();
}
/**
* 获取redis针对集合数据缓存操作，元素无序，唯一
* @author luxian.zhang
* @return
*/
public SetOperations opsForSet(Class c){
return redisTemplate.opsForSet();
}
/**
* 获取redis这对集合数据缓存操作，元素有序，唯一
* @author luxian.zhang
* @return
*/
public ZSetOperations opsForZSet(Class c){
return redisTemplate.opsForZSet();
}
/**
* 获取redis针对对象数据缓存操作
*/
public HashOperations opsForHash(Class c){
return redisTemplate.opsForHash();
}
/**
* 缓存value操作
* @param k
* @param v
* @param time
*/
public boolean cacheValue(String k, T v, long time) {
String key = KEY_PREFIX_VALUE + k;
ValueOperations valueOps = redisTemplate.opsForValue();
valueOps.set(key, v);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
}
/**
* 缓存value操作
* @param k
* @param v
*/
public boolean cacheValue(String k, T v) {
return cacheValue(k, v, -1);
}
/**
* 判断缓存是否存在
* @param k
*/
public boolean containsValueKey(String k) {
return containsKey(KEY_PREFIX_VALUE + k);
}
/**
* 判断缓存是否存在
* @param k
*/
public boolean containsSetKey(String k) {
return containsKey(KEY_PREFIX_SET + k);
}
/**
* 判断缓存是否存在
* @param k
*/
public boolean containsListKey(String k) {
return containsKey(KEY_PREFIX_LIST + k);
}
public boolean containsKey(String key) {
return redisTemplate.hasKey(key);
}
/**
* 获取缓存
* @param k
*/
public T getValue(Class c, String k) {
ValueOperations valueOps = redisTemplate.opsForValue();
return valueOps.get(KEY_PREFIX_VALUE + k);
}
/**
* 移除缓存
* @param k
*/
public boolean removeValue(String k) {
return remove(KEY_PREFIX_VALUE + k);
}
public boolean removeSet(String k) {
return remove(KEY_PREFIX_SET + k);
}
public boolean removeList(String k) {
return remove(KEY_PREFIX_LIST + k);
}
/**
* 移除缓存
* @param key
*/
public boolean remove(String key) {
redisTemplate.delete(key);
return true;
}
/**
* 缓存set操作
* @param k
* @param v
* @param time
*/
public boolean cacheSet(String k, T v, long time) {
String key = KEY_PREFIX_SET + k;
SetOperations valueOps = redisTemplate.opsForSet();
valueOps.add(key, v);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
}
/**
* 缓存set
* @param k
* @param v
*/
public boolean cacheSet(String k, T v) {
return cacheSet(k, v, -1);
}
/**
* 缓存set
* @param k
* @param v 把set转换为数组
* @param time
*/
public boolean cacheSet(String k, T[] v, long time) {
String key = KEY_PREFIX_SET + k;
SetOperations setOps = redisTemplate.opsForSet();
setOps.add(key, v);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
}
/**
* 缓存set
* @param k
* @param v 把set转换为数组
*/
public boolean cacheSet(String k, T[] v) {
return cacheSet(k, v, -1);
}
/**
* 获取缓存set数据
* @param c
* @param k
*/
public Set getSet(Class c, String k) {
SetOperations setOps = redisTemplate.opsForSet();
return setOps.members(KEY_PREFIX_SET + k);
}
/**
* list缓存
* @param k
* @param v
* @param time
*/
public boolean cacheList(String k, T v, long time) {
String key = KEY_PREFIX_LIST + k;
ListOperations listOps = redisTemplate.opsForList();
listOps.rightPush(key, v);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
}
/**
* 缓存list
* @param k
* @param v
*/
public boolean cacheList(String k, T v) {
return cacheList(k, v, -1);
}
/**
* 缓存list
* @param k
* @param v
* @param time
*/
public boolean cacheList(String k, List v, long time) {
String key = KEY_PREFIX_LIST + k;
ListOperations listOps = redisTemplate.opsForList();
long l = listOps.rightPushAll(key, v);
if (time > 0) redisTemplate.expire(key, time, TimeUnit.SECONDS);
return true;
}
/**
* 缓存list
* @param k
* @param v
*/
public boolean cacheList(String k, List v) {
return cacheList(k, v, -1);
}
/**
* 获取list缓存
* @param c
* @param k
* @param start
* @param end
*/
public List getList(Class c, String k, long start, long end) {
ListOperations listOps = redisTemplate.opsForList();
return listOps.range(KEY_PREFIX_LIST + k, start, end);
}
/**
* 获取总条数, 可用于分页
* @param k
*/
public long getListSize(String k) {
ListOperations listOps = redisTemplate.opsForList();
return listOps.size(KEY_PREFIX_LIST + k);
}
/**
* 移除list缓存
* @param k
*/
public boolean removeOneOfList(String k) {
String key = KEY_PREFIX_LIST + k;
ListOperations listOps = redisTemplate.opsForList();
listOps.rightPop(KEY_PREFIX_LIST + k);
return true;
}
}