[散修弟子]JAVA-2875|2018年03月23日的日报-技能树.IT修真院

发表于： 2018-03-23 17:47:41

2 702

今天总结一下redis和spring集合的总结一下

开始添加一下maven的jar包

经过很多次的测试这个版本spring和redis的兼容性很好

(其他的版本很多有兼容性的问题)

<groupId>org.springframework.data</groupId>

<artifactId>spring-data-redis</artifactId>

<version>1.6.1.RELEASE</version>

</dependency>

<groupId>redis.clients</groupId>

<artifactId>jedis</artifactId>

</dependency>

redis.properties基本信息的配置

# Redis settings

redis.host=47.94.**.**

redis.port=6379

redis.password=******

redis.maxIdle=300

redis.maxWait=1000

redis.testOnBorrow=true

redis.timeout=300

接下来就是applicationContext.XML的配置

<?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:aop="http://www.springframework.org/schema/aop"

xmlns:tx="http://www.springframework.org/schema/tx" xmlns:jdbc="http://www.springframework.org/schema/jdbc"

xmlns:context="http://www.springframework.org/schema/context"

xmlns:mvc="http://www.springframework.org/schema/mvc"

xsi:schemaLocation="

http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-3.0.xsd

http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.0.xsd

http://www.springframework.org/schema/jdbc http://www.springframework.org/schema/jdbc/spring-jdbc-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/aop http://www.springframework.org/schema/aop/spring-aop-3.0.xsd

http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc.xsd">

<context:annotation-config />

<context:component-scan base-package="com.fuwei.service" />

</bean>

</bean >

<context:property-placeholder location="classpath:redis.properties" />

</bean >

</property>

</property>

</bean >

</bean >

</bean>

</bean>

</beans>

接下来就是RedisUtil类的编写

package com.fuwei.util;

import org.apache.log4j.Logger;

import org.springframework.data.redis.core.RedisTemplate;

import org.springframework.data.redis.core.ValueOperations;

import java.io.Serializable;

import java.util.List;

import java.util.Set;

import java.util.concurrent.TimeUnit;

/**

* Redis工具类

public class RedisUtil {

private RedisTemplate<Serializable, List> redisTemplate;

/**

* 批量删除对应的value

* @param keys

public void remove(final String... keys) {

for (String key : keys) {

remove(key);

}

/**

* 批量删除key

* @param pattern

public void removePattern(final String pattern) {

Set<Serializable> keys = redisTemplate.keys(pattern);

if (keys.size() > 0)

redisTemplate.delete(keys);

}

/**

* 删除对应的value

* @param key

public void remove(final String key) {

if (exists(key)) {

redisTemplate.delete(key);

}

/**

* 判断缓存中是否有对应的value

* @param key

* @return

public boolean exists(final String key) {

return redisTemplate.hasKey(key);

}

/**

* 读取缓存

* @param key

* @return

public Object get(final String key) {

Object result = null;

ValueOperations<Serializable, List> operations = redisTemplate

.opsForValue();

result = operations.get(key);

return result;

}

/**

* 写入缓存

* @param key

* @param value

* @return

public boolean set(final String key, List value) {

boolean result = false;

try {

ValueOperations<Serializable, List> operations = redisTemplate

.opsForValue();

operations.set(key, value);

result = true;

} catch (Exception e) {

e.printStackTrace();

}

return result;

}

/**

* 写入缓存

* @param key

* @param value

* @return

public boolean set(final String key, List value, Long expireTime) {

boolean result = false;

try {

ValueOperations<Serializable, List> operations = redisTemplate

.opsForValue();

operations.set(key, value);

redisTemplate.expire(key, expireTime, TimeUnit.SECONDS);

result = true;

} catch (Exception e) {

e.printStackTrace();

}

return result;

}

public void setRedisTemplate(

RedisTemplate<Serializable, List> redisTemplate) {

this.redisTemplate = redisTemplate;

}

接下来就是查询的连接层的调用类

package com.fuwei.service.impl;

import com.fuwei.mapper.StudentMapper;

import com.fuwei.pojo.Student;

import com.fuwei.service.StudentService;

import com.fuwei.util.MemcachedUtil;

import com.fuwei.util.RedisUtil;

import com.google.gson.Gson;

import org.apache.log4j.Logger;

import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.cache.Cache;

import org.springframework.stereotype.Service;

import org.springframework.test.context.ContextConfiguration;

import java.io.UnsupportedEncodingException;

import java.util.List;

@Service

/*@ContextConfiguration("classpath:memcachedContext.xml")*/ //memcached的缓存

@ContextConfiguration("classpath:applicationContext.xml") //redis的缓存

public class StudentServiceImpl implements StudentService {

private Logger logger=Logger.getLogger(StudentServiceImpl.class);

@Autowired

StudentMapper studentMapper;

@Autowired

RedisUtil redisUtil;

/*public List<Student> list(){

*//*List<Student> ls=studentMapper.list();

MemcachedUtil.put("Student", ls, 60);

Object obj = MemcachedUtil.get("Student".toString() );

System.out.println(obj);*//*

return studentMapper.list();

}*/

public List<Student> list1() {

List<Student> students;

if(redisUtil.exists("student2")){

students= (List<Student>) redisUtil.get("student2");

logger.info("从缓存里面取移动端"+students+"-----+----");

System.out.println("从缓存里面取移动端"+students+"-----+----");

return students;

}else {

students=studentMapper.list();

redisUtil.set("student2",students);

System.out.println("存储在缓存"+students+"123-----+----");

return students;

}

@Override

public int count(int state) {

return studentMapper.count(state);

}

redis的spring的流程基本就是这个样子

还有前面要测试你的Redis的端口的开放

简单的java的测试的类的编写

package com.fuwei.test;

import org.junit.Test;

import redis.clients.jedis.Jedis;

public class RedisStringJava {

@Test

public void it() {

//连接本地的 Redis 服务

Jedis jedis = new Jedis("localhost",6379);

jedis.auth("666666");

System.out.println("连接成功");

//设置 redis 字符串数据

jedis.set("A", "好的");

// 获取存储的数据并输出

System.out.println("redis 存储的字符串为: "+ jedis.getrange("student2",27,1000));

System.out.println("redis 存储的字符串为: "+ jedis.ping());

}

http://blog.csdn.net/fly43108622/article/details/52972433(参考文档)

还有关闭一次redis它就会被保护起来(这个是测试的时候遇到的问题)

-DENIED Redis is running in protected modebecause protected mode is enabled, no bind address was specified, noauthentication password is requested to clients. (这个问题的出现)

在路径

/usr/redis-4.0.8# 下面

127.0.0.1:6379> config set protected-mode "no" (设置不保护)

还有重新设置一下登录的密码(redis)

47.94.14.145:6379> config set requirepass 666666 (666666是密码)

登录redis

47.94.14.145:6379> auth 666666

查看全部的keys

47.94.14.145:6379> keys *

查看具体的那个key的值

47.94.14.145:6379> get student2

查找展示

47.94.14.145:6379> get student2

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这个redis与spring的整合总结完成了

还有前面的乱码的问题也一同解决啦

//filter编码设置

<filter-name>CharacterEncodingFilter</filter-name>

<filter-class>org.springframework.web.filter.CharacterEncodingFilter</filter-class>

<init-param>

<param-name>Encoding</param-name>

<param-value>UTF-8</param-value>

</init-param>

<init-param>

<param-name>forceEncoding</param-name>

<param-value>true</param-value>