• redis实现spring-redis-data的入门实例


    redis的客户端实现、主要分为spring-redis-data 、jredis。

    记录下spring-redis-data的学习心得;
    spring-redis-data 中我目前主要用了它的存、取、清除。

    redis配置redis-manager-config.properties :
     

    redis.host=192.168.1.20//redis的服务器地址
    redis.port=6400//redis的服务端口
    redis.pass=1234xxxxx//密码
    redis.default.db=0//链接数据库
    redis.timeout=100000//客户端超时时间单位是毫秒
    redis.maxActive=300// 最大连接数
    redis.maxIdle=100//最大空闲数
    [html] view plaincopy
    redis.maxWait=1000//最大建立连接等待时间
    redis.testOnBorrow=true//指明是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个

    spring 中配置
     

    <bean id="propertyConfigurerRedis" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
            <property name="order" value="1" />
            <property name="ignoreUnresolvablePlaceholders" value="true" />
            <property name="locations">
                <list>
                    <value>classpath:config/redis-manager-config.properties</value>
                </list>
            </property>
        </bean>

            <!-- jedis pool配置 -->
        <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">
            <property name="maxActive" value="${redis.maxActive}" />
            <property name="maxIdle" value="${redis.maxIdle}" />
            <property name="maxWait" value="${redis.maxWait}" />
            <property name="testOnBorrow" value="${redis.testOnBorrow}" />
        </bean>

        <!-- spring data redis -->
        <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
            <property name="usePool" value="true"></property>
            <property name="hostName" value="${redis.host}" />
            <property name="port" value="${redis.port}" />
            <property name="password" value="${redis.pass}" />
            <property name="timeout" value="${redis.timeout}" />
            <property name="database" value="${redis.default.db}"></property>
            <constructor-arg index="0" ref="jedisPoolConfig" />
        </bean>

        <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">
            <property name="connectionFactory" ref="jedisConnectionFactory" />
        </bean>
    <!--配置一个基础类(之后的业务类继承于该类)、将redisTemplate注入 -->
    <bean id="redisBase" abstract="true">
      <property name="template" ref="redisTemplate"></property>
     </bean>

    java代码:
     

    复制代码代码示例:

    public class RedisBase {
        private StringRedisTemplate template;

        /**
         * @return the template
         */
        public StringRedisTemplate getTemplate() {
            return template;
        }

        /**
         * @param template the template to set
         */
        public void setTemplate(StringRedisTemplate template) {
            this.template = template;
        }

    }
     

    继续:
    具体redis的值的写入、读出、清除缓存!
    第一:写入
     

    复制代码代码示例:

    public class StudentCountDO {
          private Long id;
             private String studentId;
              private Long commentHeadCount;
             private Long docAttitudeScores;
             private Long guideServiceScores;
              private Long treatEffectCount;
             private Long treatEffectScores;
          private String gmtModified;
          private String gmtCreated;
              private Long waitingTimeScores;
         }

    StringRedisTemplate template = getTemplate();//获得上面注入的template
           // save as hash 一般key都要加一个前缀,方便清除所有的这类key
           BoundHashOperations<String, String, String> ops = template.boundHashOps("student:"+studentCount.getStudentId());

           Map<String, String> data = new HashMap<String, String>();
           data.put("studentId", CommentUtils.convertNull(studentCount.getStudentId()));
           data.put("commentHeadCount", CommentUtils.convertLongToString(studentCount.getCommentHeadCount()));
           data.put("docAttitudeScores", CommentUtils.convertLongToString(studentCount.getDocAttitudeScores()));
           data.put("guideServicesScores", CommentUtils.convertLongToString(studentCount.getGuideServiceScores()));
           data.put("treatEffectCount", CommentUtils.convertLongToString(studentCount.getTreatEffectCount()));
           data.put("treatEffectScores", CommentUtils.convertLongToString(studentCount.getTreatEffectScores()));
           data.put("waitingTimeScores", CommentUtils.convertLongToString(studentCount.getWaitingTimeScores()));
           try {
               ops.putAll(data);
           } catch (Exception e) {
               logger.error(CommentConstants.WRITE_EXPERT_COMMENT_COUNT_REDIS_ERROR + studentCount.studentCount(), e);
           }
     

    第二、 取出
     

    复制代码代码示例:
    public StudentCountDO getStudentCommentCountInfo(String studentId) {
           final String strkey = "student:"+ studentId;
           return getTemplate().execute(new RedisCallback<StudentCountDO>() {
               @Override
               public StudentCountDO doInRedis(RedisConnection connection) throws DataAccessException {
                   byte[] bkey = getTemplate().getStringSerializer().serialize(strkey);
                   if (connection.exists(bkey)) {
                       List<byte[]> value = connection.hMGet(bkey,
                               getTemplate().getStringSerializer().serialize("studentId"), getTemplate()
                                       .getStringSerializer().serialize("commentHeadCount"), getTemplate()
                                       .getStringSerializer().serialize("docAttitudeScores"), getTemplate()
                                       .getStringSerializer().serialize("guideServicesScores"), getTemplate()
                                       .getStringSerializer().serialize("treatEffectCount"), getTemplate()
                                       .getStringSerializer().serialize("treatEffectScores"), getTemplate()
                                       .getStringSerializer().serialize("waitingTimeScores"));
                       StudentCountDO studentCommentCountDO = new StudentCountDO();
                       studentCommentCountDO.setExpertId(getTemplate().getStringSerializer().deserialize(value.get(0)));
                       studentCommentCountDO.setCommentHeadCount(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(1))));
                       studentCommentCountDO.setDocAttitudeScores(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(2))));
                       studentCommentCountDO.setGuideServiceScores(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(3))));
                       studentCommentCountDO.setTreatEffectCount(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(4))));
                       studentCommentCountDO.setTreatEffectScores(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(5))));
                       studentCommentCountDO.setWaitingTimeScores(Long.parseLong(getTemplate().getStringSerializer()
                               .deserialize(value.get(6))));
                       return studentCommentCountDO;
                   }
                   return null;
               }
           });
    }

    这个存和取的过程其实是把对象中的各个字段序列化之后存入到hashmap 、取出来的时候在进行按照存入进去的顺序进行取出。
    第三 清除
    这个就根据前面的前缀很简单了,一句代码就搞定啦!
     

    复制代码代码示例:
    private void clear(String pattern) {
           StringRedisTemplate template = getTemplate();
           Set<String> keys = template.keys(pattern);
           if (!keys.isEmpty()) {
               template.delete(keys);
           }
    }

    pattern传入为student: 即可将该类型的所有缓存清除掉!

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  • 原文地址:https://www.cnblogs.com/fx2008/p/4155158.html
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