spring cache，基本能够满足一般应用对缓存的需求，但现实总是很复杂，当你的用户量上去或者性能跟不上，总需要进行扩展，这个时候你或许对其提供的内存缓存不满意了，因为其不支持高可用性，也不具备持久化数据能力，这个时候，你就需要自定义你的缓存方案了，还好，spring 也想到了这一点。
本篇文章采用spring cache与Redis进行整合，实现自己想要的缓存。
我们先配置redis：
第一步，要安装redis，这个自行百度，我们主要是配置redis。
增加一个redis配置文件，可以放在跟目录下
redis.host=192.168.0.43redis.port=6379redis.pass=2015redis.maxIdle=50redis.maxActive=50redis.maxWait=50redis.testOnBorrow=trueredis.timeout=1000
还需要在spring的配置文件中去配置redis
<context:property-placeholder location="classpath:conf/redis.properties" />
<bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">
<property name="maxIdle" value="${redis.maxIdle}" />
<property name="maxTotal" value="${redis.maxActive}" />
<property name="maxWaitMillis" value="${redis.maxWait}" />
<property name="testOnBorrow" value="${redis.testOnBorrow}" />
</bean>
<bean id="connectionFactory"class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
<property name="poolConfig" ref="poolConfig" />
<property name="port" value="${redis.port}" />
<property name="hostName" value="${redis.host}" />
<property name="password" value="${redis.pass}" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate">
<property name="connectionFactory" ref="connectionFactory" />
</bean>好了，配置redis完成了。
现在我们来配置spring的cache：
<?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:cache="http://www.springframework.org/schema/cache"xmlns:p="http://www.springframework.org/schema/p"xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/cache http://www.springframework.org/schema/cache/spring-cache.xsd"><cache:annotation-driven />
<!-- 缓存管理器 -->
<bean id="cacheManager" class="org.springframework.cache.support.SimpleCacheManager">
<property name="caches">
<set>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="default" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.queryCityListByParentCode" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name"value="commonService.queryIndustryListByParentCode" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.queryIndustryInfoById" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.queryIndustryNameByIds" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.queryCityNameByIds" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.isSpecialSchool" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="commonService.getProvinceByCity" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="permissionService.queryMenuList" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="permissionService.queryOperationOfMenu" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="roleService.queryAllRole" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name" value="permissionService.queryPermissionTree" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name"value="permissionService.queryPermissaionMenuByRoleCode" />
<property name="timeout" value="${redis.timeout}" />
</bean>
<bean class="com.config.SystemRedisCache">
<property name="redisTemplate" ref="redisTemplate" />
<property name="name"value="permissionService.queryAllPermissionByRoleCode" />
<property name="timeout" value="${redis.timeout}" />
</bean>
</set>
</property>
<!-- <property name="fallbackToNoOpCache" value="false"/> -->
</bean>
</beans>其实上面的配置文件，已经把redis与spring注解缓存的关系配置到了spring的xml文件中了。
对应的SystemRedisCache类是一个实现cache接口的自定义的缓存实现类。
import org.springframework.cache.Cache;import org.springframework.cache.support.SimpleValueWrapper;import org.springframework.dao.DataAccessException;import org.springframework.data.redis.connection.RedisConnection;import org.springframework.data.redis.core.RedisCallback;import org.springframework.data.redis.core.RedisTemplate;import org.springframework.util.StringUtils;/**
* 〈一句话功能简述〉<br>
* 〈功能详细描述〉
*
* @author Administrator
* @see [相关类/方法]（可选）
* @since [产品/模块版本] （可选） */public class SystemRedisCache implements Cache {/** * Redis */private RedisTemplate<String, Object> redisTemplate;/** * 缓存名称 */private String name;/** * 超时时间 */private long timeout;/* * (non-Javadoc)
* @see org.springframework.cache.Cache#getName() */@Overridepublic String getName() {return this.name;
}/* * (non-Javadoc)
* @see org.springframework.cache.Cache#getNativeCache() */@Overridepublic Object getNativeCache() {// TODO Auto-generated method stubreturn this.redisTemplate;
}/* * (non-Javadoc)
* @see org.springframework.cache.Cache#get(java.lang.Object) */@Overridepublic ValueWrapper get(Object key) {if (StringUtils.isEmpty(key)) {return null;
} else {final String finalKey;if (key instanceof String) {
finalKey = (String) key;
} else {
finalKey = key.toString();
}
Object object = null;
object = redisTemplate.execute(new RedisCallback<Object>() {public Object doInRedis(RedisConnection connection) throws DataAccessException {byte[] key = finalKey.getBytes();byte[] value = connection.get(key);if (value == null) {return null;
}return SerializableObjectUtil.unserialize(value);
}
});return (object != null ? new SimpleValueWrapper(object) : null);
}
}/* * (non-Javadoc)
* @see org.springframework.cache.Cache#get(java.lang.Object, java.lang.Class) */@SuppressWarnings("unchecked")
@Overridepublic <T> T get(Object key, Class<T> type) {if (StringUtils.isEmpty(key) || null == type) {return null;
} else {final String finalKey;final Class<T> finalType = type;if (key instanceof String) {
finalKey = (String) key;
} else {
finalKey = key.toString();
}final Object object = redisTemplate.execute(new RedisCallback<Object>() {public Object doInRedis(RedisConnection connection) throws DataAccessException {byte[] key = finalKey.getBytes();byte[] value = connection.get(key);if (value == null) {return null;
}return SerializableObjectUtil.unserialize(value);
}
});if (finalType != null && finalType.isInstance(object) && null != object) {return (T) object;
} else {return null;
}
}
}/* * (non-Javadoc)
* @see org.springframework.cache.Cache#put(java.lang.Object, java.lang.Object) */@Overridepublic void put(final Object key, final Object value) {if (StringUtils.isEmpty(key) || StringUtils.isEmpty(value)) {return;
} else {final String finalKey;if (key instanceof String) {
finalKey = (String) key;
} else {
finalKey = key.toString();
}if (!StringUtils.isEmpty(finalKey)) {final Object finalValue = value;
redisTemplate.execute(new RedisCallback<Boolean>() {
@Overridepublic Boolean doInRedis(RedisConnection connection) {
connection.set(finalKey.getBytes(), SerializableObjectUtil.serialize(finalValue));// 设置超时间 connection.expire(finalKey.getBytes(), timeout);return true;
}
});
}
}
}/* * 根据Key 删除缓存 */@Overridepublic void evict(Object key) {if (null != key) {final String finalKey;if (key instanceof String) {
finalKey = (String) key;
} else {
finalKey = key.toString();
}if (!StringUtils.isEmpty(finalKey)) {
redisTemplate.execute(new RedisCallback<Long>() {public Long doInRedis(RedisConnection connection) throws DataAccessException {return connection.del(finalKey.getBytes());
}
});
}
}
}/* * 清楚系统缓存 */@Overridepublic void clear() {// TODO Auto-generated method stub// redisTemplate.execute(new RedisCallback<String>() {// public String doInRedis(RedisConnection connection) throws DataAccessException {// connection.flushDb();// return "ok";// }// }); }public RedisTemplate<String, Object> getRedisTemplate() {return redisTemplate;
}public void setRedisTemplate(RedisTemplate<String, Object> redisTemplate) {this.redisTemplate = redisTemplate;
}public void setName(String name) {this.name = name;
}public long getTimeout() {return timeout;
}public void setTimeout(long timeout) {this.timeout = timeout;
}
}主要的方法就是get和put方法，里面的逻辑都是根据我们自己的需求去实现的。
现在有个问题，我们发现，在spring配置自己的注解缓存的配置文件中配置了多个cache，那spring是怎么去找到对应的cacheManager呢？
我们直接以代码给大家呈现出来：
/**
*
* 公共接口
*
* @author Administrator
* @see [相关类/方法]（可选）
* @since [产品/模块版本] （可选） */@Service("commonService")public class CommonServiceImpl implements CommonService {/** * 日志记录器 */private static final Logger LOGGER = LoggerFactory.getLogger(CommonServiceImpl.class);
@Autowiredprivate DalClient dalClient;/* * @Autowired RedisTemplate<?, ?> redisTemplate; *//** * 根据名称获取自增序列squence的当前值
*
* @param SequenceName 自增序列名称
* @return 自增序列当前值
* @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Overridepublic String getSequenceByName(String SequenceName) {if (StringUtils.isEmpty(SequenceName)) {
LOGGER.error("自增序列名称为空，无法返回正常的自增序列值");return null;
} else {
Map<String, String> paramMap = new HashMap<String, String>();
paramMap.put("sequenceName", SequenceName);// 查询sequence当前值Map<String, Object> resultMap = dalClient.queryForMap("common.GET_SEQUENCE_BY_NAME", paramMap);if (null != resultMap && !resultMap.isEmpty()) {return String.valueOf(resultMap.get("sequenceValue"));
} else {return null;
}
}
}/** * 根据上一级的城市编码 查询 所有下属城市 列表
*
* @param parentCityCode
* @return * @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.queryCityListByParentCode", key = "new String('commonService.queryCityListByParentCode')+#parentCityCode.toString()", condition = "null != #parentCityCode")public List<CityBean> queryCityListByParentCode(final Integer parentCityCode) {
Map<String, Object> paramMap = new HashMap<String, Object>();if (null != parentCityCode) {// 根据所选省份 \ 城市 查询所属城市列表paramMap.put("parentCityCode", parentCityCode);final List<CityBean> cityListResult = dalClient.queryForList("T_CITY.SELECT_BY_PARENTCODE", paramMap,
CityBean.class);return cityListResult;
} else {final List<CityBean> provinceListResult = dalClient.queryForList("T_CITY.SELECT_ALL_FIRST_STEP_CITY",
paramMap, CityBean.class);return provinceListResult;
}
}/** * 根据上一级的行业编码 查询 所有下属所有行业
*
* @param parentCityCode
* @return * @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.queryIndustryListByParentCode", key = "new String('commonService.queryIndustryListByParentCode')+#parentIndustryCode.toString", condition = "null != #parentIndustryCode")public List<IndustryBean> queryIndustryListByParentCode(final Integer parentIndustryCode) {
Map<String, Object> paramMap = new HashMap<String, Object>();if (null != parentIndustryCode) {
paramMap.put("parentIndustryCode", parentIndustryCode);final List<IndustryBean> industryListResult = dalClient.queryForList("T_INDUSTRY.SELECT_BY_PARENTCODE",
paramMap, IndustryBean.class);return industryListResult;
} else {final List<IndustryBean> industryListResult = dalClient.queryForList("T_INDUSTRY.SELECT_ALL_FIRST_STEP_INDUSTRY", paramMap, IndustryBean.class);return industryListResult;
}
}/** * 根据行业编码查询 行业信息
*
* @param industryCode
* @return * @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.queryIndustryInfoById", key = "new String('commonService.queryIndustryInfoById')+#industryCode", condition = "(null != #industryCode) and (#industryCode.length() > 0)")public IndustryBean queryIndustryInfoById(final String industryCode) {if (StringUtils.isEmpty(industryCode)) {return null;
} else {
Map<String, Object> paramMap = new HashMap<String, Object>();
paramMap.put("industryCode", industryCode);final IndustryBean industryInfoResult = dalClient.queryForObject("T_INDUSTRY.SELECT_BY_ID", paramMap,
IndustryBean.class);return industryInfoResult;
}
}/** * 递归删除 元素 因为可能存在重复的
*
* @param list 列表
* @param item 要删除的元素
* @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */private void deleteListElement(ArrayList<String> list, String item) {if (null != list && !list.isEmpty() && StringUtils.isNotBlank(item)) {if (list.contains(item)) {
list.remove(item);if (list.contains(item)) {
deleteListElement(list, item);
}
}
}
}/** * 根据行业id查询 行业名称
*
* @param industryIds 行业Id可能有多个 以分号分隔
* @return 行业名称列表
* @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.queryIndustryNameByIds", key = "new String('commonService.queryIndustryNameByIds')+#industryIds", condition = "null != #industryIds and #industryIds.length() > 0")public List<String> queryIndustryNameByIds(final String industryIds) {if (StringUtils.isBlank(industryIds)) {return null;
} else {
String[] industryIdArr = industryIds.split(";");if (null != industryIdArr && industryIdArr.length > 0) {
ArrayList<String> paramList = new ArrayList<String>();
paramList.addAll(Arrays.asList(industryIdArr));if (null != paramList && !paramList.isEmpty()) {
Map<String, Object> paramMap = new HashMap<String, Object>();
paramMap.put("industryIdList", paramList);// 查询行业列表List<IndustryBean> queryResultList = dalClient.queryForList("T_INDUSTRY.SELECT_BY_ID_LIST",
paramMap, IndustryBean.class);// 封装查询结果List<String> industryNameList = new ArrayList<String>();if (null != queryResultList && !queryResultList.isEmpty()) {// 遍历查询列表 将已经存在的编码去掉 剩下的 就是 根據编码查询不出行业的 直接将行业的名字返回 String tempId;for (IndustryBean industryInfo : queryResultList) {if (null != industryInfo) {if (null == industryInfo.getIndustryCode()) {continue;
} else {
tempId = industryInfo.getIndustryCode().toString();if (paramList.contains(tempId)) {
deleteListElement(paramList, tempId);
}if (StringUtils.isNotBlank(industryInfo.getIndustryName())) {
industryNameList.add(industryInfo.getIndustryName());
}
}
}
}
}// 将根据编码查询不出来 的 行业编码 直接返回 industryNameList.addAll(paramList);return industryNameList;
}
}return null;
}
}/** * 根据城市id查询 城市名称
*
* @param industryIds 行业Id可能有多个 以分号分隔
* @return 行业名称列表
* @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.queryCityNameByIds", key = "new String('commonService.queryCityNameByIds')+#cityIds", condition = "null != #cityIds and #cityIds.length() > 0")public List<String> queryCityNameByIds(String cityIds) {if (StringUtils.isBlank(cityIds)) {return null;
} else {
String replacyedCityIds = cityIds.replace(";", ",");
String[] industryIdArr = replacyedCityIds.split(",");if (null != industryIdArr && industryIdArr.length > 0) {
ArrayList<String> paramList = new ArrayList<String>();
paramList.addAll(Arrays.asList(industryIdArr));if (null != paramList && !paramList.isEmpty()) {
Map<String, Object> paramMap = new HashMap<String, Object>();
paramMap.put("cityIdList", paramList);// 查询行业列表List<CityBean> queryResultList = dalClient.queryForList("T_CITY.SELECT_BY_ID_LIST", paramMap,
CityBean.class);
List<String> industryNameList = new ArrayList<String>();if (null != queryResultList && !queryResultList.isEmpty()) {// 遍历查询列表 将已经存在的编码去掉 剩下的 就是 根據编码查询不出行业的 直接将行业的名字返回// 封装查询结果 String tempId;for (CityBean industryInfo : queryResultList) {if (null != industryInfo) {if (null == industryInfo.getCityCode()) {continue;
} else {
tempId = industryInfo.getCityCode().toString();if (paramList.contains(tempId)) {
deleteListElement(paramList, tempId);
}if (StringUtils.isNotBlank(industryInfo.getCityName())) {
industryNameList.add(industryInfo.getCityName());
}
}
}
}
}// 将根据编码查询不出来 的 行业编码 直接返回 industryNameList.addAll(paramList);return industryNameList;
}
}return null;
}
}/** * 查询第一级所有职位
*
* @return */@Overridepublic List<JobTypeVo> queryFirstJobList() {/* * List<JobTypeVo> redisIndustryListResult = redisTemplate.execute(new RedisCallback<List<JobTypeVo>>() {
* @Override public List<JobTypeVo> doInRedis(RedisConnection connection) { byte[] industryListList =
* connection.get((RedisConstants.JOB_FIRST_LIST).getBytes()); if (null != industryListList &&
* industryListList.length > 0) { return (List<JobTypeVo>) SerializableObjectUtil.unserialize(industryListList);
* } else { return null; } } }); if (null != redisIndustryListResult && !redisIndustryListResult.isEmpty()) {
* return redisIndustryListResult; } else { */final List<JobTypeVo> queryIndustryListResult = dalClient.queryForList("T_JOB_TYPE.SELECT_FIRST_JOB_CODE",null, JobTypeVo.class);/* * if (null != queryIndustryListResult && !queryIndustryListResult.isEmpty()) { redisTemplate.execute(new
* RedisCallback<Boolean>() {
* @Override public Boolean doInRedis(RedisConnection connection) {
* connection.set((RedisConstants.JOB_FIRST_LIST).getBytes(),
* SerializableObjectUtil.serialize(queryIndustryListResult)); return true; } }); } */return queryIndustryListResult;/* } */}/** * 查询 对应级别的职位信息
*
* @param typeValue
* @param jobCode
* @return */@Overridepublic List<JobTypeBean> queryJobTypeList(final int typeValue, final int jobCode) {/* * List<JobTypeBean> redisIndustryListResult = redisTemplate.execute(new RedisCallback<List<JobTypeBean>>() {
* @Override public List<JobTypeBean> doInRedis(RedisConnection connection) { byte[] industryListList =
* connection.get((RedisConstants.JOB_FIRST_LIST + typeValue + jobCode) .getBytes()); if (null !=
* industryListList && industryListList.length > 0) { return (List<JobTypeBean>)
* SerializableObjectUtil.unserialize(industryListList); } else { return null; } } }); if (null !=
* redisIndustryListResult && !redisIndustryListResult.isEmpty()) { return redisIndustryListResult; } else { */Map<String, Object> paramMap = new HashMap<String, Object>();
paramMap.put("typeValue", typeValue);
paramMap.put("jobFirstCode", jobCode);final List<JobTypeBean> queryResult = dalClient.queryForList("T_JOB_TYPE.SELECT_BY_JOB_CODE", paramMap,
JobTypeBean.class);/* * if (null != queryResult && !queryResult.isEmpty()) { redisTemplate.execute(new RedisCallback<Boolean>() {
* @Override public Boolean doInRedis(RedisConnection connection) {
* connection.set((RedisConstants.JOB_FIRST_LIST + typeValue + jobCode).getBytes(),
* SerializableObjectUtil.serialize(queryResult)); return true; } }); } */return queryResult;/* } */}/** * 判断学校是否 特殊学校
*
* @param schoolName 学校名称
* @param schoolType 学校分类（1:211 暂无其他）
* @return true:是， false:否
* @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.isSpecialSchool", key = "new String('commonService.isSpecialSchool')+#schoolName + #schoolType", condition = "null != #schoolName and null !=#schoolType and #schoolName.length() > 0")public boolean isSpecialSchool(String schoolName, int schoolType) {if (StringUtils.isEmpty(schoolName)) {return false;
} else {
Map<String, Object> paramMap = new HashMap<String, Object>();
paramMap.put("schoolName", schoolName);
paramMap.put("schoolType", schoolType);
Map<String, Object> resultMap = dalClient.queryForMap("T_MY_SPECIAL_SCHOOL.SELECT_BY_NAME_TYPE", paramMap);if (null != resultMap && !resultMap.isEmpty() && resultMap.containsKey("NUM")) {return (long) resultMap.get("NUM") > 0;
} else {return false;
}
}
}/** * 根据城市名称获取 城市所在 省份名称
*
* @param cityNames
* @return * @see [相关类/方法](可选)
* @since [产品/模块版本](可选) */@Override
@Cacheable(value = "commonService.getProvinceByCity", key = "new String('commonService.getProvinceByCity')+#cityNames", condition = "null != #cityNames and #cityNames.length() > 0")public String getProvinceByCity(final String cityNames) {if (StringUtils.isBlank(cityNames)) {return null;
} else {
String[] cityArr = cityNames.split("、");
Map<String, Object> paramMap = new HashMap<String, Object>();
Map<String, Object> resultMap;
String provinceName;
List<String> provinceLait = new ArrayList<String>();for (String cityName : cityArr) {if (StringUtils.isNotBlank(cityName)) {
paramMap.put("cityName", cityName);
resultMap = dalClient.queryForMap("T_CITY.SELECT_PROVINCE_NAMEBY_CITY_NAME", paramMap);if (null != resultMap && !resultMap.isEmpty() && resultMap.containsKey("provinceName")) {
provinceName = String.valueOf(resultMap.get("provinceName"));if (!provinceLait.contains(provinceName)) {
provinceLait.add(provinceName);
}
}
}
}
StringBuffer sb = new StringBuffer(100);if (!provinceLait.isEmpty()) {for (int i = 0; i < provinceLait.size(); i++) {if (i < provinceLait.size() - 1) {
sb.append(provinceLait.get(i)).append(",");
} else {
sb.append(provinceLait.get(i));
}
}
}return sb.toString();
}
}已queryCityListByParentCode方法为例：
在这个方法上面有@Cacheable这个注解，这个是spring3.1以后增加的注解缓存标签，它会根据value = "commonService.queryCityListByParentCode"中value的属性值去查找我们配置在spring的xml文件中的name属性去查找，找到对应的配置文件后，该方法会通过我们自定义的缓存实现类去实现对应的逻辑，如果对spring注解的意义不清楚的可以先去了解下spring cache注解的含义。
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