redis spring缓存配置
1.环境:spring 3.1.2 + spring data redis 1.0.0+ jedis 2.1.0
2.spring配置文件配置:
<!-- jedis 配置 --> <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig" > <property name="maxIdle" value="${redis.maxIdle}" /> <property name="maxActive" value="${redis.maxActive}" /> <property name="maxWait" 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="${redis.password}" /> <property name="timeout" value="${redis.timeout}" ></property> </bean > <bean id="redisTemplate" class="org.springframework.data.redis.core.RedisTemplate" > <property name="connectionFactory" ref="connectionFactory" /> <property name="keySerializer" > <bean class="org.springframework.data.redis.serializer.StringRedisSerializer" /> </property> <property name="valueSerializer" > <bean class="org.springframework.data.redis.serializer.JdkSerializationRedisSerializer" /> </property> </bean > <!-- cache配置 --> <bean id="methodCacheInterceptor" class="com.xxx.cache.MethodCacheInterceptor" > <property name="redisUtil" ref="redisUtil" /> </bean > <bean id="redisUtil" class="com.xxx.framework.util.RedisUtil" > <property name="redisTemplate" ref="redisTemplate" /> </bean > <bean id="methodCachePointCut" class="org.springframework.aop.support.RegexpMethodPointcutAdvisor" > <property name="advice" > <ref local="methodCacheInterceptor" /> </property> <property name="patterns" > <list> <!-- 需要缓存的方法 正则表达式 --> <value> com\.xxx\..*\.service\. impl\..*list.*</value > <value> com\.xxx\..*\.service\. impl\..*find.*</value > <value> com\.xxx\..*\.service\. impl\..*get.*</value > </list> </property> </bean >
3.redis工具类
import java.io.Serializable; import java.util.Set; import java.util.concurrent.TimeUnit; import org.apache.log4j.Logger; import org.springframework.data.redis.core.RedisTemplate; import org.springframework.data.redis.core.ValueOperations; /** * redis cache 工具类 * */ public final class RedisUtil { private Logger logger = Logger.getLogger(RedisUtil.class); private RedisTemplate<Serializable, Object> redisTemplate; /** * 批量删除对应的value * * @param keys */ public void remove(final String... keys) { for (String key : keys) { remove(key); } } /** * 批量删除key * * @param pattern */ public void removePattern(final String pattern) { Set<Serializable> keys = redisTemplate.keys(pattern); if (keys.size() > 0) redisTemplate.delete(keys); } /** * 删除对应的value * * @param key */ public void remove(final String key) { if (exists(key)) { redisTemplate.delete(key); } } /** * 判断缓存中是否有对应的value * * @param key * @return */ public boolean exists(final String key) { return redisTemplate.hasKey(key); } /** * 读取缓存 * * @param key * @return */ public Object get(final String key) { Object result = null; ValueOperations<Serializable, Object> operations = redisTemplate .opsForValue(); result = operations.get(key); return result; } /** * 写入缓存 * * @param key * @param value * @return */ public boolean set(final String key, Object value) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate .opsForValue(); operations.set(key, value); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } /** * 写入缓存 * * @param key * @param value * @return */ public boolean set(final String key, Object value,Long expireTime) { boolean result = false; try { ValueOperations<Serializable, Object> operations = redisTemplate .opsForValue(); operations.set(key, value); redisTemplate.expire(key,expireTime,TimeUnit.SECONDS); result = true; } catch (Exception e) { e.printStackTrace(); } return result; } public void setRedisTemplate( RedisTemplate<Serializable, Object> redisTemplate) { this.redisTemplate = redisTemplate; } }
4.全局缓存拦截器
import java.io.InputStream; import java.util.ArrayList; import java.util.List; import java.util.Properties; import org.aopalliance.intercept.MethodInterceptor; import org.aopalliance.intercept.MethodInvocation; import org.apache.log4j.Logger; import com.xxx.framework.util.RedisUtil; import framework.utils.string.StringUtil; public class MethodCacheInterceptor implements MethodInterceptor { private Logger logger = Logger.getLogger(MethodCacheInterceptor. class); private RedisUtil redisUtil; private List<String> targetNamesList; // 不加入缓存的service名称 private List<String> methodNamesList; // 不加入缓存的方法名称 private Long defaultCacheExpireTime; //缓存默认的过期时间 private Long xxxRecordManagerTime; // private Long xxxSetRecordManagerTime; // /** * 初始化读取不需要加入缓存的类名和方法名称 */ public MethodCacheInterceptor() { try { InputStream in = getClass().getClassLoader().getResourceAsStream("cacheConf.properties" ); Properties p = new Properties(); p.load(in); // 分割字符串 String[] targetNames = p.getProperty("targetNames" ).split(","); String[] methodNames = p.getProperty("methodNames" ).split(","); //加载过期时间设置 defaultCacheExpireTime = Long.valueOf(p.getProperty("defaultCacheExpireTime")); xxxRecordManagerTime = Long.valueOf(p.getProperty("com.service.impl.xxxRecordManager")); xxxSetRecordManagerTime = Long.valueOf(p.getProperty("com.service.impl.xxxSetRecordManager")); // 创建list targetNamesList = new ArrayList<String>(targetNames.length ); methodNamesList = new ArrayList<String>(methodNames.length ); Integer maxLen = targetNames. length > methodNames.length ? targetNames.length : methodNames.length; // 将不需要缓存的类名和方法名添加到list中 for(int i = 0; i < maxLen; i++) { if(i < targetNames.length ) { targetNamesList.add(targetNames[i]); } if(i < methodNames.length ) { methodNamesList.add(methodNames[i]); } } } catch (Exception e) { e.printStackTrace(); } } @Override public Object invoke(MethodInvocation invocation) throws Throwable { Object value = null; String targetName = invocation.getThis().getClass().getName(); String methodName = invocation.getMethod().getName(); // 不需要缓存的内容 if (!isAddCache(StringUtil.subStrForLastDot(targetName), methodName)) { // 执行方法返回结果 return invocation.proceed(); } Object[] arguments = invocation.getArguments(); String key = getCacheKey(targetName, methodName, arguments); System. out.println(key); try { // 判断是否有缓存 if (redisUtil .exists(key)) { return redisUtil .get(key); } // 写入缓存 value = invocation.proceed(); if (value != null) { final String tkey = key; final Object tvalue = value; new Thread(new Runnable() { @Override public void run() { if(tkey.startsWith("com.service.impl.xxxRecordManager" )){ redisUtil.set(tkey, tvalue,xxxRecordManagerTime ); } else if(tkey.startsWith("com.service.impl.xxxSetRecordManager" )){ redisUtil.set(tkey, tvalue,xxxSetRecordManagerTime ); } else{ redisUtil.set(tkey, tvalue,defaultCacheExpireTime ); } } }).start(); } } catch (Exception e) { e.printStackTrace(); if (value == null) { return invocation.proceed(); } } return value; } /** * 是否加入缓存 * @return */ private boolean isAddCache(String targetName, String methodName) { boolean flag = true; if(targetNamesList .contains(targetName) || methodNamesList.contains(methodName)) { flag = false; } return flag; } /** * 创建缓存key * * @param targetName * @param methodName * @param arguments */ private String getCacheKey(String targetName, String methodName, Object[] arguments) { StringBuffer sbu = new StringBuffer(); sbu.append(targetName).append( "_").append(methodName); if ((arguments != null) && (arguments.length != 0)) { for (int i = 0; i < arguments.length; i++) { sbu.append( "_").append(arguments[i]); } } return sbu.toString(); } public void setRedisUtil(RedisUtil redisUtil) { this.redisUtil = redisUtil; } }
上面代码中掺杂了部分业务逻辑不是太好,可以继续优化一下哈。
5.redis.properties文件
redis.host=127.0.0.1 redis.port=6379 redis.password= redis.maxIdle=100 redis.maxActive=300 redis.maxWait=1000 redis.testOnBorrow=true redis.timeout=100000
6.cacheConf.properties文件
# 不需要加缓存的类和方法 # not add cache service name targetNames=xxxRecordManager,xxxSetRecordManager,xxxStatisticsIdentificationManager # not add cache method name methodNames= #设置过期时间 com.service.impl.xxxRecordManager= 60 com.service.impl.xxxSetRecordManager= 60 defaultCacheExpireTime=3600
7.注意拼接key时需要将相应的类生成toString方法,否则可能会出现序列化失败的错误。
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