spring-data-redis详解

使用spring-data-redis实现java和redis的连接及操作

官方文档:http://projects.spring.io/spring-data-redis/#quick-start

1 下载 spring-data-redis的jar包

<dependencies>
    <dependency>
        <groupId>org.springframework.data</groupId>
        <artifactId>spring-data-redis</artifactId>
        <version>1.5.0.RELEASE</version>
    </dependency>
</dependencies>

http://grepcode.com/snapshot/repo1.maven.org/maven2/org.springframework.data/spring-data-redis/1.4.0.RELEASE

  1. redis.host=192.168.1.20//redis的服务器地址  
  2. redis.port=6400//redis的服务端口  
  3. redis.pass=1234xxxxx//密码  
  4. redis.default.db=0//链接数据库  
  5. redis.timeout=100000//客户端超时时间单位是毫秒  
  6. redis.maxActive=300// 最大连接数  
  7. redis.maxIdle=100//最大空闲数  
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
  1. redis.maxWait=1000//最大建立连接等待时间  
  2. redis.testOnBorrow=true//<span style="font-size: 12px;">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</span>  
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

  1. <bean id="propertyConfigurerRedis" class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">  
  2.         <property name="order" value="1" />  
  3.         <property name="ignoreUnresolvablePlaceholders" value="true" />  
  4.         <property name="locations">  
  5.             <list>  
  6.                 <value>classpath:config/redis-manager-config.properties</value>  
  7.             </list>  
  8.         </property>  
  9.     </bean>  
  10.       
  11.         <!-- jedis pool配置 -->  
  12.     <bean id="jedisPoolConfig" class="redis.clients.jedis.JedisPoolConfig">  
  13.         <property name="maxActive" value="${redis.maxActive}" />  
  14.         <property name="maxIdle" value="${redis.maxIdle}" />  
  15.         <property name="maxWait" value="${redis.maxWait}" />  
  16.         <property name="testOnBorrow" value="${redis.testOnBorrow}" />  
  17.     </bean>  
  18.   
  19.     <!-- spring data redis -->  
  20.     <bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">  
  21.         <property name="usePool" value="true"></property>  
  22.         <property name="hostName" value="${redis.host}" />  
  23.         <property name="port" value="${redis.port}" />  
  24.         <property name="password" value="${redis.pass}" />  
  25.         <property name="timeout" value="${redis.timeout}" />  
  26.         <property name="database" value="${redis.default.db}"></property>  
  27.         <constructor-arg index="0" ref="jedisPoolConfig" />  
  28.     </bean>  
  29.       
  30.     <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">  
  31.         <property name="connectionFactory" ref="jedisConnectionFactory" />  
  32.     </bean>  
<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>
  1.    
 
  1. <!--配置一个基础类(之后的业务类继承于该类)、将redisTemplate注入 -->  
<!--配置一个基础类(之后的业务类继承于该类)、将redisTemplate注入 -->
  1. <bean id="redisBase" abstract="true">  
  2.   <property name="template" ref="redisTemplate"></property>  
  3.  </bean>  
<bean id="redisBase" abstract="true">
  <property name="template" ref="redisTemplate"></property>
 </bean>


java代码:

  1. public class RedisBase {  
  2.   
  3.     private StringRedisTemplate template;  
  4.   
  5.     /** 
  6.      * @return the template 
  7.      */  
  8.     public StringRedisTemplate getTemplate() {  
  9.         return template;  
  10.     }  
  11.   
  12.     /** 
  13.      * @param template the template to set 
  14.      */  
  15.     public void setTemplate(StringRedisTemplate template) {  
  16.         this.template = template;  
  17.     }  
  18.   
  19. }  
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

  1. public class StudentCountDO {  
  2.   
  3.     private Long id;  
  4.   
  5.        private String studentId;  
  6.   
  7.         private Long commentHeadCount;  
  8.   
  9.        private Long docAttitudeScores;  
  10.   
  11.        private Long guideServiceScores;  
  12.   
  13.         private Long treatEffectCount;  
  14.   
  15.        private Long treatEffectScores;  
  16.   
  17.     private String gmtModified;  
  18.   
  19.     private String gmtCreated;  
  20.   
  21.         private Long waitingTimeScores;  
  22.   
  23.    }  
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;

   }


 

  1. StringRedisTemplate template = getTemplate();//获得上面注入的template  
  2.        // save as hash 一般key都要加一个前缀,方便清除所有的这类key  
  3.        BoundHashOperations<String, String, String> ops = template.boundHashOps("student:"+studentCount.getStudentId());  
  4.   
  5.        Map<String, String> data = new HashMap<String, String>();  
  6.        data.put("studentId", CommentUtils.convertNull(studentCount.getStudentId()));  
  7.        data.put("commentHeadCount", CommentUtils.convertLongToString(studentCount.getCommentHeadCount()));  
  8.        data.put("docAttitudeScores", CommentUtils.convertLongToString(studentCount.getDocAttitudeScores()));  
  9.        data.put("guideServicesScores", CommentUtils.convertLongToString(studentCount.getGuideServiceScores()));  
  10.        data.put("treatEffectCount", CommentUtils.convertLongToString(studentCount.getTreatEffectCount()));  
  11.        data.put("treatEffectScores", CommentUtils.convertLongToString(studentCount.getTreatEffectScores()));  
  12.        data.put("waitingTimeScores", CommentUtils.convertLongToString(studentCount.getWaitingTimeScores()));  
  13.        try {  
  14.            ops.putAll(data);  
  15.        } catch (Exception e) {  
  16.            logger.error(CommentConstants.WRITE_EXPERT_COMMENT_COUNT_REDIS_ERROR + studentCount.studentCount(), e);  
  17.        }  
 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

  1. public StudentCountDO getStudentCommentCountInfo(String studentId) {  
  2.        final String strkey = "student:"+ studentId;  
  3.        return getTemplate().execute(new RedisCallback<StudentCountDO>() {  
  4.            @Override  
  5.            public StudentCountDO doInRedis(RedisConnection connection) throws DataAccessException {  
  6.                byte[] bkey = getTemplate().getStringSerializer().serialize(strkey);  
  7.                if (connection.exists(bkey)) {  
  8.                    List<byte[]> value = connection.hMGet(bkey,  
  9.                            getTemplate().getStringSerializer().serialize("studentId"), getTemplate()  
  10.                                    .getStringSerializer().serialize("commentHeadCount"), getTemplate()  
  11.                                    .getStringSerializer().serialize("docAttitudeScores"), getTemplate()  
  12.                                    .getStringSerializer().serialize("guideServicesScores"), getTemplate()  
  13.                                    .getStringSerializer().serialize("treatEffectCount"), getTemplate()  
  14.                                    .getStringSerializer().serialize("treatEffectScores"), getTemplate()  
  15.                                    .getStringSerializer().serialize("waitingTimeScores"));  
  16.                    StudentCountDO studentCommentCountDO = new StudentCountDO();  
  17.                    studentCommentCountDO.setExpertId(getTemplate().getStringSerializer().deserialize(value.get(0)));  
  18.                    studentCommentCountDO.setCommentHeadCount(Long.parseLong(getTemplate().getStringSerializer()  
  19.                            .deserialize(value.get(1))));  
  20.                    studentCommentCountDO.setDocAttitudeScores(Long.parseLong(getTemplate().getStringSerializer()  
  21.                            .deserialize(value.get(2))));  
  22.                    studentCommentCountDO.setGuideServiceScores(Long.parseLong(getTemplate().getStringSerializer()  
  23.                            .deserialize(value.get(3))));  
  24.                    studentCommentCountDO.setTreatEffectCount(Long.parseLong(getTemplate().getStringSerializer()  
  25.                            .deserialize(value.get(4))));  
  26.                    studentCommentCountDO.setTreatEffectScores(Long.parseLong(getTemplate().getStringSerializer()  
  27.                            .deserialize(value.get(5))));  
  28.                    studentCommentCountDO.setWaitingTimeScores(Long.parseLong(getTemplate().getStringSerializer()  
  29.                            .deserialize(value.get(6))));  
  30.                    return studentCommentCountDO;  
  31.                }  
  32.                return null;  
  33.            }  
  34.        });  
  35.    }  
 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!

  1. private void clear(String pattern) {  
  2.        StringRedisTemplate template = getTemplate();  
  3.        Set<String> keys = template.keys(pattern);  
  4.        if (!keys.isEmpty()) {  
  5.            template.delete(keys);  
  6.        }  
  7.    }  
 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: 就可以将该类型的所有缓存清除掉喽!

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转载自fxzcollege6.iteye.com/blog/2209751