SpringBoot 整合Redis缓存，使用Docker做Redis容器

╰半夏微凉° 2022-03-26 12:30 304阅读 0赞

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>         在日常得开发中，JavaWeb项目中经常需要使用缓存，加快系统得访问速度。有利于用户更好的用户体验。以下是SpringBoot整合Redis的案例，仅供参考。

## 一、环境搭建 ##

*   导入依赖

>     
>     <dependency>
>         <groupId>org.springframework.boot</groupId>
>         <artifactId>spring-boot-starter-cache</artifactId>
>     </dependency>

*  编写实体类 DepartMent.java 和 Employee.java

package com.nyist.cache.model;
    
    import java.io.Serializable;
    
    public class Department implements Serializable {
    	
    	private Integer id;
    	private String departmentName;
    	
    	
    	public Department() {
    		super();
    		// TODO Auto-generated constructor stub
    	}
    	public Department(Integer id, String departmentName) {
    		super();
    		this.id = id;
    		this.departmentName = departmentName;
    	}
    	public Integer getId() {
    		return id;
    	}
    	public void setId(Integer id) {
    		this.id = id;
    	}
    	public String getDepartmentName() {
    		return departmentName;
    	}
    	public void setDepartmentName(String departmentName) {
    		this.departmentName = departmentName;
    	}
    	@Override
    	public String toString() {
    		return "Department [id=" + id + ", departmentName=" + departmentName + "]";
    	}
    }
    
    
    
    package com.nyist.cache.model;
    
    import java.io.Serializable;
    
    public class Employee implements Serializable {
    	
    	private Integer id;
    	private String lastName;
    	private String email;
    	private Integer gender; //性别 1男  0女
    	private Integer dId;
    	
    	
    	public Employee() {
    		super();
    	}
    
    	
    	public Employee(Integer id, String lastName, String email, Integer gender, Integer dId) {
    		super();
    		this.id = id;
    		this.lastName = lastName;
    		this.email = email;
    		this.gender = gender;
    		this.dId = dId;
    	}
    	
    	public Integer getId() {
    		return id;
    	}
    	public void setId(Integer id) {
    		this.id = id;
    	}
    	public String getLastName() {
    		return lastName;
    	}
    	public void setLastName(String lastName) {
    		this.lastName = lastName;
    	}
    	public String getEmail() {
    		return email;
    	}
    	public void setEmail(String email) {
    		this.email = email;
    	}
    	public Integer getGender() {
    		return gender;
    	}
    	public void setGender(Integer gender) {
    		this.gender = gender;
    	}
    	public Integer getdId() {
    		return dId;
    	}
    	public void setdId(Integer dId) {
    		this.dId = dId;
    	}
    	@Override
    	public String toString() {
    		return "Employee [id=" + id + ", lastName=" + lastName + ", email=" + email + ", gender=" + gender + ", dId="
    				+ dId + "]";
    	}
    }

*  配置数据源

>     spring:
>       datasource:
>         username: root
>         password: root
>         url: jdbc:mysql://localhost:3306/spring_cache?useUnicode=true&characterEncoding=utf-8&serverTimezone=GMT%2B8
>         type: com.alibaba.druid.pool.DruidDataSource
>     
>         initialSize: 5
>         minIdle: 5
>         maxActive: 20
>         maxWait: 60000
>         timeBetweenEvictionRunsMillis: 60000
>         minEvictableIdleTimeMillis: 300000
>         validationQuery: SELECT 1 FROM DUAL
>         testWhileIdle: true
>         testOnBorrow: false
>         testOnReturn: false
>         poolPreparedStatements: true
>         #   配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
>         filters: stat,wall,logback
>         maxPoolPreparedStatementPerConnectionSize: 20
>         useGlobalDataSourceStat: true
>         connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
>       #指定链接的Redis
>       redis:
>         host: 192.168.1.110
>     
>     
>     #mybatis 开启驼峰命名法
>     mybatis:
>       configuration:
>         map-underscore-to-camel-case: true
>     
>     #设置日志等级
>     logging:
>       level:
>         com.nyist.cache.mapper: debug
>     #打开控制报告
>     #debug: true

*  配置Mapper DepartmentMapper.java 和 EmployeeMapper.java

package com.nyist.cache.mapper;
    
    import com.nyist.cache.model.Department;
    import org.apache.ibatis.annotations.Mapper;
    import org.apache.ibatis.annotations.Select;
    
    @Mapper
    public interface DepartmentMapper {
    
        @Select("select * from department where id=#{id}")
        Department getDeptById(Integer id);
    }
    
    
    
    
    package com.nyist.cache.mapper;
    
    import com.nyist.cache.model.Employee;
    import org.apache.ibatis.annotations.*;
    
    @Mapper
    public interface EmployeeMapper {
    
        @Select("select * from employee where  id = #{id}")
        public Employee getEmpById(Integer id);
    
        @Update("update employee set lastName = #{lastName},email=#{email},gender=#{gender} where id=#{id}")
        public void updateEmp(Employee employee);
    
    
        @Delete("delete from employee where id = #{id}")
        public void deleteEmp(Integer id);
    
    
        @Insert("insert into employee(lastName,email,gender,d_id) values(#{lastName},#{email},#{gender},#{d_id})")
        public void insertEmp(Employee employee);
    
    
        @Select("select * from employee where lastName = #{lastName}")
        Employee getEmpByLastName(String lastName);
    }

*  config配置 MyRedisConfiguration.java

package com.nyist.cache.comfig;
    
    import com.nyist.cache.model.Employee;
    import org.springframework.context.annotation.Bean;
    import org.springframework.context.annotation.Configuration;
    import org.springframework.data.redis.connection.RedisConnectionFactory;
    import org.springframework.data.redis.core.RedisTemplate;
    import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
    
    //开启自定义序列化
    @Configuration
    public class MyRedisConfiguration {
    
        @Bean   //加入到容器中去
        public RedisTemplate<Object, Employee> empredisTemplate(RedisConnectionFactory redisConnectionFactory) {
            RedisTemplate<Object, Employee> redisTemplate = new RedisTemplate<Object, Employee>();
            redisTemplate.setConnectionFactory(redisConnectionFactory);
            //转换为json 保存到redis数据库中
            Jackson2JsonRedisSerializer<Employee> serializer = new Jackson2JsonRedisSerializer<Employee>(Employee.class);
            redisTemplate.setDefaultSerializer(serializer);
            return redisTemplate;
        }
    
    }

*  servic层 DeptService.java 和 EmployeeService.java

package com.nyist.cache.service;
    
    import com.nyist.cache.mapper.EmployeeMapper;
    import com.nyist.cache.model.Employee;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.cache.annotation.*;
    import org.springframework.stereotype.Service;
    
    //用于抽取公共配置
    @CacheConfig(cacheNames = "emp")
    @Service
    public class EmployeeService {
    
        @Autowired
        EmployeeMapper employeeMapper;
    
        /**
         * 将方法的运行结果进行缓存,以后再要使用相同的数据,直接从缓存中拿,不调用方法。
         * CacheManager 管理多个缓存Cache组件,对缓存的真正CRUD操作在Cache 组件中,每一个缓存组件有一个唯一一个名字
         * 几个属性:
         *      cacheNames/valye:指定缓存组件的名字
         *      key:缓存数据时的key,可以用它来指定。  默认使用方法参数的值 1-方法的返回值
         *          可以编写SPEL 表达式 #id;参数id的值, #a0 #p0 #root.args[0]
         *
         *      keyGenerator:key 得生成器,可以自己指定key的生成器的组件ID
         *          key/keyGenerator:二选一
         *      cacheManager:指定缓存管理器,或者cacheResolver指定获取缓存解析器。
         *      condition:符合条件的情况下才缓存。
         *      unless:是否缓存,当unless指定的条件为true,方法的返回值不会被缓存,可以根据结果进行判断
         *      sync:是否使用异步模式
         * @param id
         * @return
         */
        /***
         * @Cacheable(condition="#id>0",cacheNames={"emp"})
         * //指定key getEmp(2)
         * @Cacheable(cacheNames = {"emp"},key="#root.methodName+'['+#id+']'")
         * @Cacheable(cacheNames = {"emp"},keyGenerator = "myKeyGenerator",condition = "#a0>1 and #root.methodName eq 'aaa'")
         *
         * @param id
         * @return
         */
        @Cacheable(cacheNames = {"emp"},key = "#id")/*,keyGenerator = "myKeyGenerator",condition = "#a0>1",unless = "#p0==2")*/
        public Employee getEmp(Integer id){
            System.out.println("查询:"+id);
            Employee empById = employeeMapper.getEmpById(id);
            return empById;
        }
    
    
        //更新的调用
        @CachePut(key = "#employee.id",value = "emp")
        public Employee updateEmp(Employee employee){
            employeeMapper.updateEmp(employee);
            return  employee;
        }
    
        //allEntries默认为fale 若改为true 则删除缓存的时候 会全部和删除
        //beforeInvocation 是否在方法之前调用,默认为false,当等于true的时候 即为在方法之前调用
        //删除  清空缓存
        @CacheEvict(cacheNames = "emp",key = "#id")
        public void deleteEmp(Integer id){
            System.out.println("DeleteId:"+id);
            employeeMapper.deleteEmp(id);
        }
    
        //定义复杂缓存规则
        /***
         * 1.使用 lastName查询数据库将查询的结果放入缓存中
         * 2.在使用 id 和 email 查询 同样可以查询到 不需要发送SQL查询数据库,只查询缓存就可以查询到数据
         * 3.所以配置的Caching 正确
         * @param lastName
         * @return
         */
        @Caching(
                cacheable = {
                    //根据 lastName查询缓存 如果缓存中没有这条数据记录,将其放入缓存中
                    @Cacheable(cacheNames="emp",key = "#lastName")
                },
                put = {
                    //可以根据id 和 邮箱更新缓存
                    @CachePut(cacheNames = "emp",key = "#result.id"),
                    @CachePut(cacheNames="emp",key = "#result.email")
                }
        )
        public Employee getEmoByLastName(String lastName){
            Employee employee = employeeMapper.getEmpByLastName(lastName);
            return employee;
        }
    }
    
    
    
    
    
    
    
    package com.nyist.cache.service;
    
    import com.nyist.cache.mapper.DepartmentMapper;
    import com.nyist.cache.model.Department;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.cache.Cache;
    import org.springframework.cache.annotation.CacheConfig;
    import org.springframework.cache.annotation.Cacheable;
    import org.springframework.data.redis.cache.RedisCacheManager;
    import org.springframework.stereotype.Service;
    
    //使用缓存管理器
    @CacheConfig(cacheManager = "redisCacheManager")
    @Service
    public class DeptService {
        @Autowired
        DepartmentMapper departmentMapper;
    
        @Autowired
        RedisCacheManager redisCacheManager;
    
        //默认key 为Id
        @Cacheable(cacheNames = "dept")
        public Department getDept(Integer id){
            System.out.println("查询部门:"+id);
            Department department = departmentMapper.getDeptById(id);
    
            return department;
        }
    
        //编码方式  用来缓存数据
        public Department getDeptById(Integer id){
            //使用编码的方式 来缓存数据
            Department department = null;
            Cache dept = redisCacheManager.getCache("dept");
            department = departmentMapper.getDeptById(id);
            //获取某个缓存
            dept.put("dept:1",department);
            return department;
        }
    }

*  controller DeptController 和 EmployeeController

package com.nyist.cache.controller;
    
    import com.nyist.cache.model.Department;
    import com.nyist.cache.service.DeptService;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.web.bind.annotation.GetMapping;
    import org.springframework.web.bind.annotation.PathVariable;
    import org.springframework.web.bind.annotation.RestController;
    
    @RestController
    public class DeptController {
    
        @Autowired
        DeptService deptService;
    
        //缓存的数据能够保存到Redis
        //第二次从缓存中查询不能够被反序列化
        @GetMapping("/dept/{id}")
        public Department getDeptById(@PathVariable("id") Integer id){
            Department dept = deptService.getDept(id);
            return dept;
        }
    
        @GetMapping("/getDeptById/{id}")
        public Department getDept(@PathVariable("id") Integer id){
            Department department = deptService.getDeptById(id);
            return department;
        }
    }
    
    
    
    
    
    
    
    
    package com.nyist.cache.controller;
    
    import com.nyist.cache.model.Employee;
    import com.nyist.cache.service.EmployeeService;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.web.bind.annotation.GetMapping;
    import org.springframework.web.bind.annotation.PathVariable;
    import org.springframework.web.bind.annotation.RestController;
    
    @RestController
    public class EmployeeController {
    
        @Autowired
        EmployeeService employeeService;
    
        @GetMapping("/emp/{id}")
        public Employee getEmp(@PathVariable("id") Integer id){
            Employee emp = employeeService.getEmp(id);
            return emp;
        }
    
    
        @GetMapping("/emp")
        public Employee update(Employee employee){
            System.out.println("employee:"+employee);
            Employee employee1 = employeeService.updateEmp(employee);
            return employee1;
        }
    
        @GetMapping("/demp/{id}")
        public void deleteEmp(@PathVariable("id") Integer id){
            System.out.println("deleteEmp:"+id);
            employeeService.deleteEmp(id);
            System.out.println("删除成功!!!");
        }
    
        @GetMapping("/getEmpByLastName/{lastName}")
        public Employee getEmpByLastName(@PathVariable("lastName") String lastName){
            Employee emoByLastName = employeeService.getEmoByLastName(lastName);
            return emoByLastName;
        }
    }

*  测试类

package com.nyist.cache;
    
    import com.alibaba.fastjson.JSON;
    import com.alibaba.fastjson.JSONObject;
    import com.alibaba.fastjson.serializer.JSONSerializer;
    import com.nyist.cache.mapper.EmployeeMapper;
    import com.nyist.cache.model.Employee;
    import org.junit.Test;
    import org.junit.runner.RunWith;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.boot.jackson.JsonObjectDeserializer;
    import org.springframework.boot.test.context.SpringBootTest;
    import org.springframework.data.redis.core.RedisTemplate;
    import org.springframework.data.redis.core.StringRedisTemplate;
    import org.springframework.test.context.junit4.SpringRunner;
    
    @RunWith(SpringRunner.class)
    @SpringBootTest
    public class Springboot01CacheApplicationTests {
    
        @Autowired
        EmployeeMapper employeeMapper;
    
        //操作k-v都是字符串
        @Autowired
        StringRedisTemplate stringRedisTemplate;
    
        //操作k-v都是对象
        @Autowired
        RedisTemplate redisTemplate;
    
        @Autowired
        RedisTemplate<Object,Employee> empredisTemplate;
        /***
         * String(字符串)、List(列表)、Set(集合)、Hash(散列)、ZSet(有序集合)
         stringRedisTemplate.opsForValue(); 操作字符串
         stringRedisTemplate.opsForList();  操作列表的
         stringRedisTemplate.opsForSet();   操作集合的
         stringRedisTemplate.opsForHash();  操作散列的
         stringRedisTemplate.opsForZSet();  操作有序集合的
         *
         */
        @Test
        public void testRedis(){
            //给redis中保存了一个数据
           // stringRedisTemplate.opsForValue().append("msg","hello");
            String msg = stringRedisTemplate.opsForValue().get("msg");
            System.out.println(msg);
            System.out.println("\n*****************操列表*******************\n");
            stringRedisTemplate.opsForList().leftPush("myList","1");
            stringRedisTemplate.opsForList().leftPush("myList","2");
        }
    
        //测试保存对象
        @Test
        public void save(){
            //默认如果保存对象,使用jdk序列化机制,序列化后的数据保存在redis中。
            //redisTemplate.opsForValue().set("emp01",empById);
            //1.将数据库以json的格式保存
                //(1)将自己的对象转换为json
                //(2)redisTemplats默认的序列化规则;改变默认的序列化规则
            Employee empById = employeeMapper.getEmpById(3);
    //        redisTemplate.opsForValue().set("emp01",empById);
    //        JSONObject jsonObject = JSONObject.parseObject(JSON.toJSONString(empById));
    //        redisTemplate.opsForValue().set("emp02",jsonObject.toJSONString());
            empredisTemplate.opsForValue().set("emp04",empById);
        }
    
        @Test
        public void contextLoads() {
            Employee empById = employeeMapper.getEmpById(1);
            System.out.println(empById);
        }
    
    }

*  使用Docker做Redis容器

> 1.  在中央仓库查找redis  docker search redis
> 2.  从中央仓库下载到本地   docker pull redis
> 3.  下载好本地镜像 开始制作容器   docker run -d -p 6379:6379 --name myRedis \[tag名称\]
> 4.  查看启动的Redis     docker ps

*  使用Redis Desktop Manager 连接虚拟机中的Docker容器中启动的Redis容器

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2x2aGFvZ3Vhbmcw_size_16_color_FFFFFF_t_70][]

**项目结构图:**

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2x2aGFvZ3Vhbmcw_size_16_color_FFFFFF_t_70 1][]

### 源码下载：[下载][Link 1] ###

[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2x2aGFvZ3Vhbmcw_size_16_color_FFFFFF_t_70]: /images/20220326/9205272ce65941f2be5f13fd70d3d31e.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2x2aGFvZ3Vhbmcw_size_16_color_FFFFFF_t_70 1]: /images/20220326/05d2262cdfbc4056a85f16f582bc8db1.png
[Link 1]: https://download.csdn.net/download/lvhaoguang0/10922799