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 ：
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[*] 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
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[*] 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
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[*] classpath:config/redis-manager-config.properties
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java代码：
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[*] public class RedisBase {
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[*] 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;
[*] }
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[*] }
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
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[*] public class StudentCountDO {
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[*] private Long id;
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[*] private String studentId;
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[*] private Long commentHeadCount;
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[*] private Long docAttitudeScores;
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[*] private Long guideServiceScores;
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[*] private Long treatEffectCount;
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[*] private Long treatEffectScores;
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[*] private String gmtModified;
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[*] private String gmtCreated;
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[*] private Long waitingTimeScores;
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[*] }
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[*] 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
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[*] 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！
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[*] 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！
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