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  • spring整合redis

    在实际项目开发过程中会用到redis这个服务,redis是一个高效的键值对存储系统,有人也称之为非关系型数据库。其读写效率高,而且可以根据需要设置内容的存储时长,所以在web项目中很常见。

    redis并不依赖spring,但是使用spring的依赖注入思想,可以很好的管理redis连接池、redis操作模板等。下面介绍如何将redis整合到spring中。除了jsdis的jar包,还需要spring-data-redis-1.0.1.RELEASE.jar(版本自定),此包提供spring对redis的支持。

    xml配置文件写法基本如下:

    <?xml version="1.0" encoding="UTF-8"?>
    <beans     xmlns="http://www.springframework.org/schema/beans" 
           xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
           xmlns:p="http://www.springframework.org/schema/p" 
           xmlns:tx="http://www.springframework.org/schema/tx"
           xmlns:context="http://www.springframework.org/schema/context"
           xsi:schemaLocation="
          http://www.springframework.org/schema/beans 
          http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
          http://www.springframework.org/schema/tx 
          http://www.springframework.org/schema/tx/spring-tx-3.0.xsd
          http://www.springframework.org/schema/context
          http://www.springframework.org/schema/context/spring-context-3.0.xsd
             ">
      
      <!-- 读取properties文件属性  --> 
      <context:property-placeholder location="classpath:redis.properties" ignore-unresolvable="true"/>
      
      <bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">
          <!-- 最大连接数 --> 
        <property name="maxActive" value="${redis.maxActive}" />  
        <!-- 最大空闲数 -->
        <property name="maxIdle" value="${redis.maxIdle}" /> 
        <property name="maxWait" value="${redis.maxWait}" />  
        <property name="testOnBorrow" value="${redis.testOnBorrow}" />  
        <!-- 每次释放连接的最大数目 -->
        <property name="numTestsPerEvictionRun" value="1024" />
        <!-- 释放连接的扫描间隔(毫秒) -->
        <property name="timeBetweenEvictionRunsMillis" value="30000" />
        <!-- 连接最小空闲时间 -->
        <property name="minEvictableIdleTimeMillis" value="1800000" />
        <!-- 连接空闲多久后释放, 当空闲时间>该值 且 空闲连接>最大空闲连接数 时直接释放 -->
        <property name="softMinEvictableIdleTimeMillis" value="10000" />
        <!-- 在空闲时检查有效性, 默认false -->
        <property name="testWhileIdle" value="true" />
        
      </bean>  
        
      <bean id="connectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory"  
        p:host-name="${redis.host}" 
        p:port="${redis.port}" 
        p:password="${redis.pass}"  
        p:pool-config-ref="poolConfig"/>  
        
      <bean id="redisTemplate" class="org.springframework.data.redis.core.StringRedisTemplate">  
        <property name="connectionFactory"   ref="connectionFactory" />  
      </bean>      
       
    </beans>    

    然后java代码的写法(使用注解方式)

    package com.cbt.staticize.service.impl;
    
    import java.util.concurrent.TimeUnit;
    
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.redis.core.HashOperations;
    import org.springframework.data.redis.core.RedisTemplate;
    import org.springframework.data.redis.core.ValueOperations;
    import org.springframework.stereotype.Service;
    
    import com.cbt.staticize.service.RedisService;
    
    @SuppressWarnings("unchecked")
    @Service
    public class RedisServiceImpl implements RedisService {
    
        @SuppressWarnings("rawtypes")
        @Autowired
        private RedisTemplate redisTemplate;
        
        @Override
        public void set(String key, String value) {
            try {
                ValueOperations<String, String> vop = redisTemplate
                        .opsForValue();
                vop.set(key, value);
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    
        /**
         * 存储指定时长
         */
        @Override
        public void set(String key, String value, Long expire) {
            try {
                ValueOperations<String, String> vop = redisTemplate
                        .opsForValue();
                vop.set(key, value);
                redisTemplate.expire(key, expire, TimeUnit.SECONDS);
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
    
        @Override
        public Object get(String key) {
            Object result = null;
            ValueOperations<String, String> vop = redisTemplate
                    .opsForValue();
            result = vop.get(key);
            return result;
        }
    
        @Override
        public boolean exist(String key) {
            return redisTemplate.hasKey(key);
        }
    
        @Override
        public void remove(String key) {
            if (exist(key)) {
                redisTemplate.delete(key);
            }
        }
    
        @Override
        public void remove(String... keys) {
            for (String key : keys) {
                remove(key);
            }
        }
    
        @Override
        public void hset(String key, String field, String value) {
            
            HashOperations<String, String, String> hop = redisTemplate.opsForHash();
            hop.put(key, field, value);
            
        }
    
        @Override
        public void hset(String key, String field, String value, Long expire) {
            
            HashOperations<String, String, String> hop = redisTemplate.opsForHash();
            hop.put(key, field, value);
            redisTemplate.expire(key, expire, TimeUnit.SECONDS);
            
        }
    
        @Override
        public Object hget(String key, String field) {
            
            HashOperations<String, String, String> hop = redisTemplate.opsForHash();
            return hop.get(key, field);
        }
    
    }

    至此,可直接使用redisservice操作redis。

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  • 原文地址:https://www.cnblogs.com/xiao-tao/p/6203012.html
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