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【四】Spring Boot之 Spring Boot + Cache + RedisTemplate整合

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我是靠谱客的博主 土豪白羊，最近开发中收集的这篇文章主要介绍【四】Spring Boot之 Spring Boot + Cache + RedisTemplate整合，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

项目目录

pom.xml

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.sid</groupId>
<artifactId>springboot</artifactId>
<version>1.0-SNAPSHOT</version>
<packaging>jar</packaging>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.0.5.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<!-- spring-boot的web启动的jar包 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<!-- spring-boot 测试包 -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!-- spring boot -->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>1.3.2</version>
</dependency>
<!-- spring-boot redis -->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-redis</artifactId>
</dependency>
<!--jedis-->
<dependency>
<groupId>redis.clients</groupId>
<artifactId>jedis</artifactId>
<version>2.7.3</version>
</dependency>
<!-- json -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.12</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-lang3</artifactId>
<version>3.4</version>
</dependency>
<!-- mysql数据库连接包 -->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.38</version>
</dependency>
<!-- alibaba的druid数据库连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.9</version>
</dependency>
<!-- 分页插件-->
<dependency>
<groupId>com.github.pagehelper</groupId>
<artifactId>pagehelper-spring-boot-starter</artifactId>
<version>1.2.5</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
<!-- mybatis generator 自动生成代码插件 -->
<plugin>
<groupId>org.mybatis.generator</groupId>
<artifactId>mybatis-generator-maven-plugin</artifactId>
<version>1.3.2</version>
<configuration>
<configurationFile>${basedir}/src/main/resources/generator/generatorConfig.xml</configurationFile>
<overwrite>true</overwrite>
<verbose>true</verbose>
</configuration>
</plugin>
</plugins>
</build>
</project>

application.yml

server:
port: 8088
servlet:
context-path: /sid
spring:
datasource:
url: jdbc:mysql://localhost:3306/sid
username: root
password: root
# 使用druid数据源
type: com.alibaba.druid.pool.DruidDataSource
driver-class-name: com.mysql.jdbc.Driver
redis:
database: 0
host: localhost
password: root
port: 6379
pool:
max-maxTotal: 300
max-maxIdle: 200
maxWaitMillis: 3000
## 该配置节点为独立的节点，不是在在spring的节点下
mybatis:
mapper-locations: classpath:mapping/*.xml
#注意：一定要对应mapper映射xml文件的所在路径
type-aliases-package: com.sid.model
# 注意：对应实体类的路径
configuration:
log-impl: org.apache.ibatis.logging.stdout.StdOutImpl #控制台打印sql
#pagehelper分页插件
pagehelper:
helperDialect: mysql
reasonable: true
supportMethodsArguments: true
params: count=countSql

App.java  启动类

使用@EnableCaching表明支持缓存

package com.sid;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cache.annotation.EnableCaching;
/**
* @program: springboot
* @description: springboot启动类
* @create: 2018-10-16 08:58
**/
@EnableCaching
@SpringBootApplication
@MapperScan("com.sid.mapper")//将项目中对应的mapper类的路径加进来就可以了
public class App {
public static void main(String[] args) {
SpringApplication.run(App.class, args);
}
}

RedisConfig.java

使用@EnableCaching表明支持缓存

package com.sid.common;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.annotation.EnableCaching;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.cache.RedisCacheConfiguration;
import org.springframework.data.redis.cache.RedisCacheManager;
import org.springframework.data.redis.cache.RedisCacheWriter;
import org.springframework.data.redis.connection.RedisConnectionFactory;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.StringRedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
/**
* @program: springboot
* @description:
* @author: liyijie
* @create: 2018-10-16 11:19
**/
@Configuration
@EnableCaching//这个注解是的支持缓存
public class RedisConfig extends CachingConfigurerSupport {
/**
* 管理缓存 springboot1
* @param redisTemplate
* @return
@Bean
public CacheManager cacheManager(RedisTemplate redisTemplate) {
//初始化一个RedisCacheWriter
RedisCacheManager cacheManager = new RedisCacheManager(redisTemplate);
//设置默认的过期时间(以秒为单位)
cacheManager.setDefaultExpiration(60*60*24);
cacheManager.setUsePrefix(true);
//rcm.setExpires();设置缓存区域(按key)的过期时间(以秒为单位)
Map<String,Long> expiresMap=new HashMap<>();
expiresMap.put("sid:auth:cache:department",60*60L);
expiresMap.put("sid:auth:cache:role",60*60L);
expiresMap.put("sid:auth:cache:menu",60*60L);
cacheManager.setExpires(expiresMap);
//事务
//cacheManager.setTransactionAware(true);
return cacheManager;
}*/
/**
* 管理缓存 springboot2
* @param redisTemplate
* @return
*/
@Bean
public RedisCacheManager redisCacheManager(RedisTemplate redisTemplate) {
//初始化一个RedisCacheWriter
RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisTemplate.getConnectionFactory());
RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(redisTemplate.getValueSerializer()));//设置序列化
//设置默认超过期时间是30秒
redisCacheConfiguration.entryTtl(Duration.ofSeconds(30));
//初始化RedisCacheManager
RedisCacheManager cacheManager = new RedisCacheManager(redisCacheWriter, redisCacheConfiguration);
return cacheManager;
}
/**
* 设置统一序列化
* @param factory
* @return
*/
@Bean(name = "redisTemplate")
public RedisTemplate<String, String> redisTemplate(RedisConnectionFactory factory) {
StringRedisTemplate template = new StringRedisTemplate(factory);
template.setKeySerializer(new StringRedisSerializer());
template.setHashKeySerializer(new StringRedisSerializer());
template.setValueSerializer(new GenericJackson2JsonRedisSerializer());
template.setHashValueSerializer(new GenericJackson2JsonRedisSerializer());
template.afterPropertiesSet();
//这里设置redis事务一致
//template.setEnableTransactionSupport(true);
return template;
}
}

UserController.java

package com.sid.controller;
import com.github.pagehelper.PageInfo;
import com.sid.model.User;
import com.sid.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.ResponseBody;
/**
* @program: springboot
* @description:
* @author: liyijie
* @create: 2018-10-16 09:28
**/
@Controller
@RequestMapping(value = "/user")
public class UserController {
@Autowired
private UserService userService;
@ResponseBody
@RequestMapping(value = "/add")
public User addUser(User user){
return userService.addUser(user);
}
@ResponseBody
@RequestMapping(value = "/delete")
public int deleteUser(String mobilePhone){
return userService.deleteUser(mobilePhone);
}
@ResponseBody
@RequestMapping(value = "/update")
public User updateUser(User user){
return userService.updateUser(user);
}
@ResponseBody
@RequestMapping(value = "/selectAll")
public PageInfo<User> selectAll(int pageNum, int pageSize){
return userService.selectAll( pageNum,
pageSize);
}
@ResponseBody
@RequestMapping(value = "/getUserByMobilePhone")
public User getUserByMobilePhone(String mobilePhone){
return userService.getUserByMobilePhone(mobilePhone);
}
@ResponseBody
@RequestMapping(value = "/set")
public void set(){
userService.set();
}
}

UserMapper.java

package com.sid.mapper;
import com.sid.model.User;
import org.springframework.stereotype.Component;
import java.util.List;
@Component
public interface UserMapper {
int deleteByPrimaryKey(String mobilePhone);
int insert(User record);
int insertSelective(User record);
User selectByPrimaryKey(String id);
int updateByPrimaryKeySelective(User record);
int updateByPrimaryKey(User record);
List<User> selectAll();
User getUserByMobilePhone(String mobilePhone);
}

User.java

需要实现序列化接口

申明序列化ID

package com.sid.model;
import java.io.Serializable;
public class User implements Serializable {
private static final long serialVersionUID = 123456789L;
private Long id;
private String name;
private String password;
private String mobilePhone;
public Long getId() {
return id;
}
public void setId(Long id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name == null ? null : name.trim();
}
public String getPassword() {
return password;
}
public void setPassword(String password) {
this.password = password == null ? null : password.trim();
}
public String getMobilePhone() {
return mobilePhone;
}
public void setMobilePhone(String mobilePhone) {
this.mobilePhone = mobilePhone == null ? null : mobilePhone.trim();
}
}

UserService.java

package com.sid.service;
import com.github.pagehelper.PageInfo;
import com.sid.model.User;
public interface UserService {
void set();
User addUser(User user);
int deleteUser(String mobilePhone);
User updateUser(User user);
/*
* pageNum 开始页数
* pageSize 每页显示的数据条数
* */
PageInfo<User> selectAll(int pageNum, int pageSize);
User getUserByMobilePhone(String mobilePhone);
}

@CacheConfig(cacheNames = "user")//类级别的缓存注解，允许共享缓存名称

 

@CachePut 根据方法的请求参数对其结果进行缓存
     * 缓存新增的数据到缓存user中
     * 每次都会请求db
     * 是用方法的返回值作为value请求redis
     * userMapper.insertSelective(user); 返回1
     * 如果直接 return userMapper.insertSelective(user);
     * 则指定key的value变成了1
     *
     * 新增可以不用做缓存操作 查询的时候查询到新增的内容 会回写到缓存中
     */
   @CachePut(value = "user", key = "'CACHE_REDIS_KEY_USER' + #user.mobilePhone")

 

@CacheEvict 根据条件对缓存进行清空
 触发移除缓存 从缓存user中删除key的数据
 参数：

allEntries：非必需，默认为false。当为true时，会移除所有数据。

beforeInvocation：可以改变触发清除操作的时间，该属性值为true时，Spring会在调用该方法之前清除缓存中的指定元素。
 @CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone", beforeInvocation=true)

 

 @Cacheable
 在调用方法之前，首先应该在缓存中查找方法的返回值，如果这个值能够找到，就会返回缓存的值。否则，这个方法就会被调用，返回值会放到缓存之中。
     
 @Cacheable(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone")

参数：

value、cacheNames：两个等同的参数（cacheNames为Spring 4新增，作为value的别名），用于指定缓存存储的集合名。由于Spring 4中新增了@CacheConfig，因此在Spring 3中原本必须有的value属性，也成为非必需项了

key：缓存对象存储在Map集合中的key值，非必需，缺省按照函数的所有参数组合作为key值，若自己配置需使用SpEL表达式，比如：@Cacheable(key = "#p0")：使用函数第一个参数作为缓存的key值，更多关于SpEL表达式的详细内容可参考官方文档

condition：缓存对象的条件，非必需，也需使用SpEL表达式，只有满足表达式条件的内容才会被缓存，比如：@Cacheable(key = "#p0", condition = "#p0.length() < 10")，表示只有当第一个参数的长度小于10的时候才会被缓存。

unless：另外一个缓存条件参数，非必需，需使用SpEL表达式。它不同于condition参数的地方在于它的判断时机，该条件是在函数被调用之后才做判断的，所以它可以通过对result进行判断。

keyGenerator：用于指定key生成器，非必需。若需要指定一个自定义的key生成器，我们需要去实现org.springframework.cache.interceptor.KeyGenerator接口，并使用该参数来指定。需要注意的是：该参数与key是互斥的

 

  @Caching 组合使用多个操作缓存的注解  evict={}中是用@CacheEvict 、 put={}中是用@CachePut 、 cacheable={}中是用@Cacheable
    
  @Caching(
             evict = {
                    @CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone", beforeInvocation=true),
                     @CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone")
            }
    )

UserServiceImpl.java

package com.sid.service.impl;
import com.github.pagehelper.PageHelper;
import com.github.pagehelper.PageInfo;
import com.sid.mapper.UserMapper;
import com.sid.model.User;
import com.sid.service.UserService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.cache.annotation.*;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Service;
import javax.annotation.Resource;
import java.util.List;
/**
* @program: springboot
* @description:
* @author: liyijie
* @create: 2018-10-16 09:30
**/
//@CacheConfig类级别的缓存注解，允许共享缓存名称
@CacheConfig(cacheNames = "user") //用于配置该类中会用到的一些共用的缓存配置。该数据访问对象中返回的内容将存储于名为users的缓存对象中
@Service
public class UserServiceImpl implements UserService {
public static final String CACHE_REDIS_KEY_USER = "sid:auth:cacahe:redis:key:user:";
@Autowired
RedisTemplate<String, String> redisTemplate;
@Autowired
private UserMapper userMapper;
/**
* @Description: 不使用缓存
单独用redisTemplate操作redis
* @Param: []
* @return: void
* @Author: liyijie
* @Date: 2018/10/16 0016
*/
@Override
public void set(){
redisTemplate.opsForValue().set("sid:test:sigle:redisTemplate:","123");
}
/** @CachePut 根据方法的请求参数对其结果进行缓存
* 缓存新增的数据到缓存user中
* 每次都会请求db
* 是用方法的返回值作为value请求redis
* userMapper.insertSelective(user); 返回1
* 如果直接 return userMapper.insertSelective(user);
* 则指定key的value变成了1
*
* 新增可以不用做缓存操作 查询的时候查询到新增的内容 会回写到缓存中
*/
//@CachePut(value = "user", key = "'CACHE_REDIS_KEY_USER' + #user.mobilePhone")
@Override
public User addUser(User user) {
userMapper.insertSelective(user);
return user;
}
/** @CacheEvict 根据条件对缓存进行清空
* 触发移除缓存 从缓存user中删除key的数据
*
使用beforeInvocation可以改变触发清除操作的时间，该属性值为true时，Spring会在调用该方法之前清除缓存中的指定元素。
*
* @Caching 组合使用多个操作缓存的注解
evict={}中是用@CacheEvict 、 put={}中是用@CachePut 、 cacheable={}中是用@Cacheable
*
* 双删+超时 保证redis和mysql的数据一致性
*/
@Caching(
evict = {
@CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone", beforeInvocation=true),
@CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone")
}
)
@Override
public int deleteUser(String mobilePhone) {
return userMapper.deleteByPrimaryKey(mobilePhone);
}
/**
* @Description:
修改的时候不去改缓存 直接双删
查询的时候会回写
* @Param: [user]
* @return: com.sid.model.User
* @Author: liyijie
* @Date: 2018/10/16 0016
*/
//@CachePut(value = "user",key = "'CACHE_REDIS_KEY_USER'+ #user.mobilePhone")
@Caching(
evict = {
@CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #user.mobilePhone", beforeInvocation=true),
@CacheEvict(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #user.mobilePhone")
}
)
@Override
public User updateUser(User user) {
userMapper.updateByPrimaryKey(user);
return user;
}
/**@Cacheable
* 在调用方法之前，首先应该在缓存中查找方法的返回值，如果这个值能够找到，就会返回缓存的值。否则，这个方法就会被调用，返回值会放到缓存之中。
*
*/
@Cacheable(value = "user", key = "'CACHE_REDIS_KEY_USER'+ #mobilePhone")
@Override
public User getUserByMobilePhone(String mobilePhone){
User user = userMapper.getUserByMobilePhone(mobilePhone);
System.out.println(user);
return user;
}
//todo 分页
/*
* pageNum 开始页数
* pageSize 每页显示的数据条数
* */
// 配置了selectAll函数的返回值将被加入缓存。同时在查询时，会先从缓存中获取，若不存在才再发起对数据库的访问。
//@Cacheable 触发缓存入口
//@Cacheable(value = "user", key = "#p0")
@Override
public PageInfo<User> selectAll(int pageNum, int pageSize) {
PageHelper.startPage(pageNum, pageSize,"id desc"); //开始起始页
List<User> userList = userMapper.selectAll(); // 获取数据
PageInfo<User> page = new PageInfo<>(userList); // 实例化PageInfo
return page;
}
//todo
list缓存 lpush lpop
//todo 缓存过期
}

UserMapper.xml

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd" >
<mapper namespace="com.sid.mapper.UserMapper" >
<resultMap id="BaseResultMap" type="com.sid.model.User" >
<id column="id" property="id" jdbcType="BIGINT" />
<result column="name" property="name" jdbcType="VARCHAR" />
<result column="password" property="password" jdbcType="VARCHAR" />
<result column="mobile_phone" property="mobilePhone" jdbcType="VARCHAR" />
</resultMap>
<sql id="Base_Column_List" >
id, name, password, mobile_phone
</sql>
<select id="selectByPrimaryKey" resultMap="BaseResultMap" parameterType="java.lang.Long" >
select
<include refid="Base_Column_List" />
from user
where id = #{id,jdbcType=BIGINT}
</select>
<select id="selectAll" resultMap="BaseResultMap"
>
select
<include refid="Base_Column_List" />
from user
</select>
<select id="getUserByMobilePhone" resultMap="BaseResultMap" parameterType="java.lang.String" >
select
<include refid="Base_Column_List" />
from user
where mobile_phone = #{mobilePhone,jdbcType=VARCHAR}
</select>
<delete id="deleteByPrimaryKey" parameterType="java.lang.String" >
delete from user
where mobile_phone = #{mobilePhone,jdbcType=VARCHAR}
</delete>
<insert id="insert" parameterType="com.sid.model.User" >
insert into user (id, name, password,
mobile_phone)
values (#{id,jdbcType=BIGINT}, #{name,jdbcType=VARCHAR}, #{password,jdbcType=VARCHAR},
#{mobilePhone,jdbcType=VARCHAR})
</insert>
<insert id="insertSelective" parameterType="com.sid.model.User" >
insert into user
<trim prefix="(" suffix=")" suffixOverrides="," >
<if test="id != null" >
id,
</if>
<if test="name != null" >
name,
</if>
<if test="password != null" >
password,
</if>
<if test="mobilePhone != null" >
mobile_phone,
</if>
</trim>
<trim prefix="values (" suffix=")" suffixOverrides="," >
<if test="id != null" >
#{id,jdbcType=BIGINT},
</if>
<if test="name != null" >
#{name,jdbcType=VARCHAR},
</if>
<if test="password != null" >
#{password,jdbcType=VARCHAR},
</if>
<if test="mobilePhone != null" >
#{mobilePhone,jdbcType=VARCHAR},
</if>
</trim>
</insert>
<update id="updateByPrimaryKeySelective" parameterType="com.sid.model.User" >
update user
<set >
<if test="name != null" >
name = #{name,jdbcType=VARCHAR},
</if>
<if test="password != null" >
password = #{password,jdbcType=VARCHAR},
</if>
<if test="mobilePhone != null" >
mobile_phone = #{mobilePhone,jdbcType=VARCHAR},
</if>
</set>
where id = #{id,jdbcType=BIGINT}
</update>
<update id="updateByPrimaryKey" parameterType="com.sid.model.User" >
update user
set name = #{name,jdbcType=VARCHAR},
password = #{password,jdbcType=VARCHAR},
mobile_phone = #{mobilePhone,jdbcType=VARCHAR}
where id = #{id,jdbcType=BIGINT}
</update>
</mapper>

 

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