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spring整合ehcache注解实现查询缓存，并实现实时缓存更新或删除

写在前面：上一篇博客写了spring cache和ehcache的基本介绍，个人建议先把这些最基本的知识了解了才能对今天主题有所感触。不多说了，开干！

注：引入jar

<!-- 引入ehcache缓存 -->
<dependency>
<groupId>net.sf.ehcache</groupId>
<artifactId>ehcache</artifactId>
<version>2.8.3</version>
</dependency>

第一步：首先配置ehcache.xml

<?xml version="1.0" encoding="UTF-8"?>
<ehcache xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:noNamespaceSchemaLocation="ehcache.xsd"
         updateCheck="true" monitoring="autodetect"
         dynamicConfig="true">

   <diskStore path="java.io.tmpdir"/>    
   <defaultCache
            maxEntriesLocalHeap="10000"
            eternal="false"
            overflowToDisk="false" 
            timeToIdleSeconds="120"
            timeToLiveSeconds="120"
            diskSpoolBufferSizeMB="30"
            maxEntriesLocalDisk="10000000"
            diskExpiryThreadIntervalSeconds="120"
            memoryStoreEvictionPolicy="LRU">
        <persistence strategy="localTempSwap"/>
    </defaultCache>

    <cache name="myCache"
           maxEntriesLocalHeap="10000"
           maxEntriesLocalDisk="1000"
           eternal="false"
           diskSpoolBufferSizeMB="30"
           timeToIdleSeconds="300"
           timeToLiveSeconds="600"
           memoryStoreEvictionPolicy="LFU"
           transactionalMode="off">
        <persistence strategy="localTempSwap"/>
    </cache>   
</ehcache>

第二步：在spring.xml的配置文件中引入schema， xmlns:aop=”http://www.springframework.org/schema/aop” 和http://www.springframework.org/schema/cache http://www.springframework.org/schema/cache/spring-cache-3.2.xsd

缓存的配置：

<!-- 启用缓存注解功能，这个是必须的，否则注解不会生效，另外，该注解一定要声明在spring主配置文件中才会生效 -->
    <cache:annotation-driven cache-manager="ehcacheManager"/>

    <!-- cacheManager工厂类，指定ehcache.xml的位置 -->
    <bean id="ehcacheManagerFactory" class="org.springframework.cache.ehcache.EhCacheManagerFactoryBean">
         <property name="configLocation" value="classpath:ehcache.xml" />
    </bean>
    <!-- 声明cacheManager -->
    <bean id="ehcacheManager" class="org.springframework.cache.ehcache.EhCacheCacheManager">
         <property name="cacheManager" ref="ehcacheManagerFactory" />
    </bean>

OK!缓存的相关配置已经完成。下面开始编写测试程序。这里需要连接数据库，我就不写了。这里为了方便就随便找了之前写过的model，这个model就是AOP注解实现日志管理的实体，为了偷懒就直接用了，希望你们不要误解，没有特殊意义的

第三步：编写model，这里需要注意，要实现缓存的实体必须要序列化 private static final long serialVersionUID = -6579533328390250520L; 关于序列化的生成这里就不介绍了，大家可以百度看看。

package org.shop.entity;

import java.io.Serializable;
import java.util.Date;

public class SystemLog implements Serializable {

    private static final long serialVersionUID = -6579533328390250520L;

    private String id;

    private String description;

    private String method;

    private Long logType;

    private String requestIp;

    private String exceptioncode;

    private String exceptionDetail;

    private String params;

    private String createBy;

    private Date createDate;

    public String getId() {
        return id;
    }

    public void setId(String id) {
        this.id = id == null ? null : id.trim();
    }

    public String getDescription() {
        return description;
    }

    public void setDescription(String description) {
        this.description = description == null ? null : description.trim();
    }

    public String getMethod() {
        return method;
    }

    public void setMethod(String method) {
        this.method = method == null ? null : method.trim();
    }

    public Long getLogType() {
        return logType;
    }

    public void setLogType(Long logType) {
        this.logType = logType;
    }

    public String getRequestIp() {
        return requestIp;
    }

    public void setRequestIp(String requestIp) {
        this.requestIp = requestIp == null ? null : requestIp.trim();
    }

    public String getExceptioncode() {
        return exceptioncode;
    }

    public void setExceptioncode(String exceptioncode) {
        this.exceptioncode = exceptioncode == null ? null : exceptioncode.trim();
    }

    public String getExceptionDetail() {
        return exceptionDetail;
    }

    public void setExceptionDetail(String exceptionDetail) {
        this.exceptionDetail = exceptionDetail == null ? null : exceptionDetail.trim();
    }

    public String getParams() {
        return params;
    }

    public void setParams(String params) {
        this.params = params == null ? null : params.trim();
    }

    public String getCreateBy() {
        return createBy;
    }

    public void setCreateBy(String createBy) {
        this.createBy = createBy == null ? null : createBy.trim();
    }

    public Date getCreateDate() {
        return createDate;
    }

    public void setCreateDate(Date createDate) {
        this.createDate = createDate;
    }
}

第四步：编写dao，service

package org.shop.dao;

import org.shop.entity.SystemLog;

public interface SystemLogMapper {
    int deleteByPrimaryKey(String id);

    int insert(SystemLog record);

    int insertSelective(SystemLog record);

    SystemLog selectByPrimaryKey(String id);

    int updateByPrimaryKeySelective(SystemLog record);

    int updateByPrimaryKey(SystemLog record);

    int count();
}

public interface SystemLogService {

    int deleteSystemLog(String id);

    int insert(SystemLog record);

    int insertTest(SystemLog record);

    SystemLog findSystemLog(String id);

    int updateSystemLog(SystemLog record);

    int count();
}

第五步：编写serviceImpl并添加缓存注解。这里缓存注解的参数不介绍了，不懂得看我上一篇博客，我这里先把需要的注解都写上了，一会一个一个介绍。

@Service("systemLogService")
public class SystemLogServiceImpl implements SystemLogService {

    @Resource
    private SystemLogMapper systemLogMapper;

    @Override
    public int deleteSystemLog(String id) {        
              return systemLogMapper.deleteByPrimaryKey(id);
    }

    @Override
    //@CachePut(value="myCache")
    //@CacheEvict(value="myCache",allEntries=true,beforeInvocation=true)
    @CacheEvict(value="myCache",key="0",beforeInvocation=true)
    public int insert(SystemLog record) {        
              return systemLogMapper.insertSelective(record);
    }

    @Override
    @Cacheable(value="myCache",key="#id")
    public SystemLog findSystemLog(String id) {        
             return systemLogMapper.selectByPrimaryKey(id);
    }

    @Override
    public int updateSystemLog(SystemLog record) {        
             return systemLogMapper.updateByPrimaryKeySelective(record);
    }
    @Override
    public int insertTest(SystemLog record) {        
           return systemLogMapper.insert(record);
    }

    @Override
    @Cacheable(value="myCache",key="0")
    public int count() {
           int num = systemLogMapper.count();
           return num;
    }

}

第六步：编写controller，即我们的测试。

@Controller
@RequestMapping("systemLogController")
public class SystemLogController {

    @Resource
    private SystemLogService systemLogService;

    @RequestMapping("testLog")
    public ModelAndView testLog(){    
        ModelMap modelMap = new ModelMap();
        SystemLog systemLog = systemLogService.findSystemLog("c30e2398-079a-406b-a2f7-a85fa15ccac7");
        modelMap.addAttribute("data", systemLog);
        return new ModelAndView("index",modelMap);
    }
    @RequestMapping("insert")
    @ResponseBody
    public boolean Insert(SystemLog record){
        systemLogService.insert(record);
        return true;
    }

    @RequestMapping("test1")
    public ModelAndView test1(){
        ModelMap modelMap = new ModelMap();
        int num =systemLogService.count();
        modelMap.addAttribute("num", num);
        return  new ModelAndView("pageEhcache",modelMap);
    }

}

我们先测试查询的缓存，即serviceImpl中的 findSystemLog(String id) 方法，我们访问 testLog.do , 第一次运行如下图，注意控制台中的 heap 和 disk