redis实现 spring-redis-data初学习

今天看了一些redis的客户端实现、主要分为spring-redis-data 、jredis

今天先记录下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。

先看配置吧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

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

		
		
		
			
				classpath:config/redis-manager-config.properties
			
		
	
	
		
	
		
		
		
		
	

	
	
		
		
		
		
		
		
		
	
    
	
		
	

java代码：

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：

下面就是具体redis的值的写入、读出、清除缓存喽！

第一：写入

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 ops = template.boundHashOps("student:"+studentCount.getStudentId());

        Map data = new HashMap();
        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

 public StudentCountDO getStudentCommentCountInfo(String studentId) {
        final String strkey = "student:"+ studentId;
        return getTemplate().execute(new RedisCallback() {
            @Override
            public StudentCountDO doInRedis(RedisConnection connection) throws DataAccessException {
                byte[] bkey = getTemplate().getStringSerializer().serialize(strkey);
                if (connection.exists(bkey)) {
                    List 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！

 private void clear(String pattern) {
        StringRedisTemplate template = getTemplate();
        Set keys = template.keys(pattern);
        if (!keys.isEmpty()) {
            template.delete(keys);
        }
    }

pattern传入为student: 就可以将该类型的所有缓存清除掉喽！