所需jar
commons-pool2-2.0.jarjedis-2.9.0.jarspring-data-redis-1.6.2.RELEASE.jarspring-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>springSessionRepositoryFilter
</filter-name>
<filter-class>org.springframework.web.filter.DelegatingFilterProxy
</filter-class>
</filter>
<filter-mapping>
<filter-name>springSessionRepositoryFilter
</filter-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 Converter<Object,
byte[]> 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 <T> ValueOperations<String,T>
opsForValue(Class<T> 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 <T> ListOperations<String,T>
opsForList(Class<T> 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 <T> SetOperations<String,T>
opsForSet(Class<T> 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 <T> ZSetOperations<String,T>
opsForZSet(Class<T> c){
return redisTemplate.opsForZSet();
}
/**
* 获取redis针对对象数据缓存操作
*/
public <T> HashOperations<String,String,T>
opsForHash(Class<T> c){
return redisTemplate.opsForHash();
}
/**
* 缓存value操作
* @param k
* @param v
* @param time
*/
public <T>
boolean cacheValue(String k, T v,
long time) {
String key = KEY_PREFIX_VALUE + k;
ValueOperations<String, T> 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 <T>
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> T
getValue(Class<T> c, String k) {
ValueOperations<String, T> 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 <T>
boolean cacheSet(String k, T v,
long time) {
String key = KEY_PREFIX_SET + k;
SetOperations<String, T> 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 <T>
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 <T>
boolean cacheSet(String k, T[] v,
long time) {
String key = KEY_PREFIX_SET + k;
SetOperations<String, T> 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 <T>
boolean cacheSet(String k, T[] v) {
return cacheSet(k, v, -
1);
}
/**
* 获取缓存set数据
* @param c
* @param k
*/
public <T> Set<T>
getSet(Class<T> c, String k) {
SetOperations<String, T> setOps = redisTemplate.opsForSet();
return setOps.members(KEY_PREFIX_SET + k);
}
/**
* list缓存
* @param k
* @param v
* @param time
*/
public <T>
boolean cacheList(String k, T v,
long time) {
String key = KEY_PREFIX_LIST + k;
ListOperations<String, T> 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 <T>
boolean cacheList(String k, T v) {
return cacheList(k, v, -
1);
}
/**
* 缓存list
* @param k
* @param v
* @param time
*/
public <T>
boolean cacheList(String k, List<T> v,
long time) {
String key = KEY_PREFIX_LIST + k;
ListOperations<String, T> 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 <T>
boolean cacheList(String k, List<T> v) {
return cacheList(k, v, -
1);
}
/**
* 获取list缓存
* @param c
* @param k
* @param start
* @param end
*/
public <T> List<T>
getList(Class<T> c, String k,
long start,
long end) {
ListOperations<String, T> 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;
}
}