1、初始化数据库
DROp DATAbase IF EXISTS `blog`; CREATE DATAbase `blog` DEFAULT character set utf8mb4; SET names utf8mb4; SET FOREIGN_KEY_CHECKS = 0; USE `blog`; CREATE TABLE `tb_tag` ( `id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'id', `name` varchar(255) NOT NULL COMMENT 'data_id', PRIMARY KEY (`id`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 COLLATE=utf8_bin COMMENT='tb_tag'; insert into `tb_tag` values (null,"mysql"),(null,"redis");
2、添加项目依赖
在jt-template工程的原有依赖基础上添加mysql数据库访问依赖,例如:
mysql mysql-connector-java com.baomidou mybatis-plus-boot-starter 3.4.2
3、添加数据库访问配置
在项目的配置文件(例如application.yml)中添加数据库访问配置,例如:
spring:
datasource:
url: jdbc:mysql:///blog?serverTimezone=Asia/Shanghai&characterEncoding=utf8
username: root
password: root
业务逻辑代码设计及实现
1.Domain对象设计
创建一个Tag类,基于此类型的对象存储Tag(标签信息),代码如下:
package com.jt.blog.domain;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.baomidou.mybatisplus.annotation.TableName;
import java.io.Serializable;
@TableName("tb_tag")
public class Tag implements Serializable {
private static final long serialVersionUID = 4504013456197711455L;
@TableId(type = IdType.AUTO)
private Long id;
private String name;
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;
}
@Override
public String toString() {
return "Tag{" +
"id=" + id +
", name='" + name + ''' +
'}';
}
}
2、Dao 逻辑对象设计
创建Tag信息的数据访问接口,代码如下:
package com.jt.blog.dao;
import com.baomidou.mybatisplus.core.mapper.baseMapper;
import com.jt.blog.domain.Tag;
import org.apache.ibatis.annotations.Mapper;
@Mapper
public interface TagMapper
extends baseMapper {
}
创建单元测试类,TagMapper中的相关方法进行单元测试,例如:
package com.jt.blog.dao;
import com.jt.blog.domain.Tag;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import java.util.List;
@SpringBootTest
public class TagMapperTests {
@Autowired
private TagMapper tagMapper;
@Test
void testSelectList(){
List tags =
tagMapper.selectList(null);
for(Tag t:tags){
System.out.println(t);
//System.out.println(t.getId()+"/"+t.getName());
}
}
}
3.Service 逻辑对象设计
设计TagService接口及实现类,定义Tag(标签)业务逻辑。
第一步:定义TagService接口,代码如下:
package com.jt.blog.service;
import com.jt.blog.domain.Tag;
import java.util.List;
public interface TagService {
List selectTags();
}
第二步:定义TagServiceImpl类,代码如下:
package com.jt.blog.service.impl;
import com.jt.blog.dao.TagMapper;
import com.jt.blog.domain.Tag;
import com.jt.blog.service.TagService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.stereotype.Service;
import java.util.List;
@Service
public class TagServiceImpl implements TagService {
//RedisAutoConfiguration 类中做的RedisTemplate的配置
@Autowired
private RedisTemplate redisTemplate;
@Autowired
private TagMapper tagMapper;
@Override
public List selectTags() {
//1.从redis查询Tag信息,redis有则直接返回
ValueOperations> valueOperations =
redisTemplate.opsForValue();
List tags=valueOperations.get("tags");
if(tags!=null&&!tags.isEmpty())return tags;
//2.从redis没有获取tag信息,查询mysql
tags = tagMapper.selectList(null);
//3.将从mysql查询到tag信息存储到redis
valueOperations.set("tags", tags);
//4.返回查询结果
return tags;
}
}
说明,假如将List存储到redis,此时Tag必须实现Serializable接口。
Controller逻辑对象设计创建Tag控制逻辑对象,用于处理请求和响应逻辑,代码如下:
package com.jt.blog.controller;
import com.jt.blog.domain.Tag;
import com.jt.blog.service.TagService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.ArrayList;
import java.util.List;
@RestController
@RequestMapping("/tag")
public class TagController {
@Autowired
private TagService tagService;
@GetMapping
public List doSelectTags(){
return tagService.selectTags());//1.redis,2.mysql
}
}
业务逻辑代码优化
1、定制RedisTemplate对象
RedisTemplate默认采用的是JDK的序列化方式,假如对系统对序列化做一些调整,可以自己定义RedisTemplate对象,例如
package com.jt;
import com.fasterxml.jackson.annotation.JsonAutoDetect;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.fasterxml.jackson.annotation.PropertyAccessor;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.boot.autoconfigure.condition.ConditionalOnMissingBean;
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;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.net.UnknownHostException;
@Configuration
public class RedisCacheConfig {
//代码定制参考RedisAutoConfiguration类
@Bean
public RedisTemplate
Service中缓存应用优化
目标:简化缓存代码的编写
解决方案:基于AOP(面向切面编程)方式实现缓存应用
实践步骤:
第一步:在启动上类添加@EnableCaching注解(开启AOP方式的缓存配置),例如:
@EnableCaching //启动AOP方式的缓存配置
@SpringBootApplication
public class RedisApplication {
....
}
第二步:重构TagServiceImpl中的selectTags()方法,方法上使用@Cacheable注解,例如:
@Cacheable(value = "tagCache") @Override public ListselectTags() { return tagMapper.selectList(null); }
其中,@Cacheable描述的方法为AOP中的一个切入点方法,访问这个方法时,系统底层会通过一个拦截器,检查缓存中是否有你要的数据,假如有则直接返回,没有则执行方法从数据库查询数据.
我们还可以定义Redis中key和value的序列化方式,修改key的生成策略,例如:
package com.jt.blog;
import org.springframework.cache.annotation.CachingConfigurerSupport;
import org.springframework.cache.interceptor.KeyGenerator;
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.connection.RedisConnectionFactory;
import org.springframework.data.redis.serializer.*;
import java.time.Duration;
@Configuration
public class RedisCacheConfig extends CachingConfigurerSupport {
@Bean
public KeyGenerator keyGenerator() {
return (o, method, params) -> {
StringBuilder sb = new StringBuilder();
sb.append(o.getClass().getName()); // 类目
sb.append("::");
sb.append(method.getName()); // 方法名
for (Object param : params) {
sb.append(param.toString());
}
return sb.toString();
};
}
@Bean
public RedisCacheManager cacheManager(RedisConnectionFactory connectionFactory) {
RedisCacheConfiguration config = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofSeconds(60)) // 60s缓存失效
// 设置key的序列化方式
.serializeKeysWith(RedisSerializationContext.SerializationPair
.fromSerializer(new StringRedisSerializer()))
// 设置value的序列化方式
.serializevaluesWith(RedisSerializationContext.SerializationPair
.fromSerializer(
new Jackson2JsonRedisSerializer(Object.class)))
// 不缓存null值
.disableCachingNullValues();
return RedisCacheManager.builder(connectionFactory)
.cacheDefaults(config)
.transactionAware()
.build();
}
.....
}
其中,写好这个配置类后,可以进行单元测试,检测redis中数据的存储.
Controller中添加本地缓存package com.jt.blog.controller;
import com.jt.blog.domain.Tag;
import com.jt.blog.service.TagService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CopyOnWriteArrayList;
@RestController
@RequestMapping("/tag")
public class TagController {
@Autowired
private TagService tagService;
//此对象存哪了?(JVM)
private List tags=new CopyOnWriteArrayList<>();//本地 cache
@GetMapping
public List doSelectTags(){
if(tags.isEmpty()) {
synchronized (tags) {
if(tags.isEmpty()) {
tags.addAll(tagService.selectTags());//1.redis,2.mysql
}
}
}
return tags;
}
}



