直接代碼,這里沒有使用bean類
項目結構:
1.引入maven依賴
<properties> <java.version>1.8</java.version> <mybatis.version>2.1.0</mybatis.version> <artifactId>springboot-redis</artifactId> </properties> <dependencies> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency> <dependency> <groupId>net.sf.json-lib</groupId> <artifactId>json-lib</artifactId> <version>2.4</version> <classifier>jdk15</classifier> </dependency> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.39</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-configuration-processor</artifactId> <optional>true</optional> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-jdbc</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.mybatis.spring.boot</groupId> <artifactId>mybatis-spring-boot-starter</artifactId> <version>${mybatis.version}</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-cache</artifactId> </dependency> </dependencies>
2.配置文件 application.properties(也可配置到文件 application.yml)
#數據庫的連接
spring.datasource.url=jdbc:mysql://localhost:3306/work?serverTimezone=GMT%2B8
spring.datasource.username=root
spring.datasource.password=root
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
# Redis數據庫索引(默認為0)
spring.redis.database=0
# Redis服務器地址
spring.redis.host=127.0.0.1
# Redis服務器連接端口
spring.redis.port=6379
# Redis服務器連接密碼(默認為空)
spring.redis.password=
# 連接池最大連接數(使用負值表示沒有限制)
spring.redis.jedis.pool.max-active=8
# 連接池最大阻塞等待時間(使用負值表示沒有限制)
spring.redis.jedis.pool.max-wait=-1ms
# 連接池中的最大空閑連接
spring.redis.jedis.pool.max-idle=8
# 連接池中的最小空閑連接
spring.redis.jedis.pool.min-idle=0
# 連接超時時間(毫秒)
spring.redis.timeout=10000ms
logging.level.com.lh.springboot.mapper=debug
3.配置文件application.yml (也可配置到文件 application.properties)
mybatis: config-location: classpath:/mybatis/mybatis-config.xml # mybatis-config.xml 的文件地址 mapper-locations: classpath:/mybatis/mapper/*.xml # 所有以.xml 結尾的文件
4.配置主程序的運行類 (Springbootweb02Application)
1). @MapperScan(value = "com.lh.springboot.mapper")
該注解的意思是:指定要變成實現類的接口所在的包,然后包下面的所有接口在編譯之后都會生成相應的實現類
2). @EnableCaching
該注解的意思是:開啟緩存管理功能
3). @SpringBootApplication
該注解的意思是:這個類是主程序類
5.配置config包下的類
//配置文件 RedisConfig
package com.lh.springboot.config;
import org.springframework.cache.CacheManager;
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.core.RedisTemplate;
import org.springframework.data.redis.serializer.GenericJackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.Jackson2JsonRedisSerializer;
import org.springframework.data.redis.serializer.RedisSerializationContext;
import org.springframework.data.redis.serializer.StringRedisSerializer;
import java.time.Duration;
@Configuration //用於定義配置類,可替換xml配置文件,被注解的類內部包含有一個或多個被@Bean注解的方法
public class RedisConfig {
@Bean
public RedisTemplate<Object, Object> empRedisTemplate(RedisConnectionFactory redisConnectionFactory)throws Exception {
RedisTemplate<Object,Object> template = new RedisTemplate<>();
template.setConnectionFactory(redisConnectionFactory);
// Json序列化配置
Jackson2JsonRedisSerializer<Object> serializer = new Jackson2JsonRedisSerializer<Object>(Object.class);
template.setDefaultSerializer(serializer);
return template;
}
@Bean
public CacheManager cacheManager(RedisConnectionFactory factory){
RedisCacheConfiguration cacheConfiguration = RedisCacheConfiguration.defaultCacheConfig()
.entryTtl(Duration.ofSeconds(600)) //存入Redis的時間設置600秒
//.entryTtl(Duration.ofDays(1))
.disableCachingNullValues()
.serializeKeysWith(RedisSerializationContext.SerializationPair
.fromSerializer(new StringRedisSerializer()))
.serializeValuesWith(RedisSerializationContext.SerializationPair.fromSerializer(new GenericJackson2JsonRedisSerializer()));
return RedisCacheManager.builder(factory).cacheDefaults(cacheConfiguration).build();}
}
//配置文件 Myconfig
package com.lh.springboot.config; import org.springframework.context.annotation.Configuration; import org.springframework.web.servlet.config.annotation.WebMvcConfigurationSupport; /** * @program: springbootweb01 * @description: 配置類 * @author: li hui * @create: 2020-12-18 19:52 */ //@EnableWebMvc 全面接管mvc @Configuration public class MyConfig extends WebMvcConfigurationSupport {
//該類可不寫 }
6.創建 mapper(包)下的UsersDao接口
//UserDao的接口
package com.lh.springboot.mapper; import org.apache.ibatis.annotations.Mapper; import java.util.List; import java.util.Map; @Mapper //該注解是在編譯之后會生成相應的接口實現類 (在主程序類注解了 @MapperScan() 在此處就可以省略) public interface UsersDao{ Object test(Map map); Integer updTest(Map map); Integer delTest(Map map); List<?> queryTest(); }
7.配置 mybatis包下的文件
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE configuration PUBLIC "-//mybatis.org//DTD Config 3.0//EN" "http://mybatis.org/dtd/mybatis-3-config.dtd"> <configuration>
<!--mybatis-config.xml 文件--> <!--<settings> <!– 打印查詢語句 –> <setting name="logImpl" value="STDOUT_LOGGING" /> </settings>--> <!--mybatis的插件配置--> </configuration>
<?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.lh.springboot.mapper.UsersDao"> <!--UserDao接口的全路徑--> <!--UsersMapper.xml文件--> <select id="test" parameterType="map" resultType="map"> select * from users where id=#{id}; </select> <update id="updTest" parameterType="map"> update users set username=#{username},password=#{password},phone=#{phone},IDnumber=#{IDnumber} where id=#{id} </update> <delete id="delTest" parameterType="map"> delete from users where id=#{id} </delete> <select id="queryTest" resultType="map"> select username,password,phone,IDnumber,id from users </select> </mapper>
8.創建service包下的接口和 impl包下的實現類
//UserService 的接口
package com.lh.springboot.service; import java.util.List; import java.util.Map; public interface UsersService{ Object test(Map map); Map updTest(Map map); Integer delTest(Map map); List<?> queryTest(); }
//UsersServiceImpl (實現UsersService接口) 緩存注解也在本類來執行
package com.lh.springboot.service.impl; import com.lh.springboot.mapper.UsersDao; import com.lh.springboot.service.UsersService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.cache.annotation.CacheEvict; import org.springframework.cache.annotation.CachePut; import org.springframework.cache.annotation.Cacheable; import org.springframework.stereotype.Service; import java.util.List; import java.util.Map; @Service("usersService") public class UsersServiceImpl implements UsersService { private final UsersDao usersDao; @Autowired public UsersServiceImpl(UsersDao usersDao) { this.usersDao = usersDao; } @Override @Cacheable(cacheNames = {"test"}, key = "'user_'+#map.get('id')",unless="#result==null") public Object test(Map map) { System.out.println("測試query"); return usersDao.test(map); } @Override @CachePut(cacheNames = {"test"}, key = "'user_'+#map.get('id')",unless="#result==null") public Map updTest(Map map) { System.out.println("測試upd"); Integer integer = usersDao.updTest(map); if(integer==1){ return map; }else { return null; } } @Override @CacheEvict(cacheNames = "test", key = "'user_'+#map.get('id')",allEntries=false,beforeInvocation=false) public Integer delTest(Map map) { System.out.println("測試del"); return usersDao.delTest(map); } @Override @Cacheable(cacheNames = {"queryTest"},unless="#result==null") public List<?> queryTest() {
System.out.println("測試query全查") List<?> objects = usersDao.queryTest(); if(objects.size()<=0){ return null; }else { return objects; } }
/* @Cacheable 將方法的運行結果進行緩存 @Cacheable 以后再要相同的數據 直接從緩存中獲取 就不用在執行方法了 幾個屬性 value/cacheNames 指定緩存的名字 key 緩存數據使用的key,默認使用方法參數的值 keyGenerator:key的生成器,可以自己指定key的生成器的組件id key/keyGenerator: 二選一 cacheManager:指定緩存管理器 或者cacheResolver指定緩存解析器 二選一 condition:指定符合條件的情況下才緩存 unless:否定緩存,當unless指定的條件是true,我們的方法返回值就不會被緩存 可以獲取到結果進行判斷 sync:是否使用異步模式 */ /* @CachePut 緩存更新 @CacheEvict 清楚緩存 */
}
9.創建controller包下的類
package com.lh.springboot.controller; import com.alibaba.fastjson.JSON; import com.lh.springboot.service.UsersService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.context.annotation.Scope; import org.springframework.stereotype.Controller; import org.springframework.web.bind.annotation.*; import java.util.List; import java.util.Map; @Controller @Scope("prototype") public class UsersController{ private final UsersService usersService; @Autowired public UsersController(UsersService usersService) { this.usersService = usersService; } @GetMapping(value = "/aa") @ResponseBody public Object aa(@RequestParam Map map){ return usersService.test(map); } @GetMapping(value = "/bb") @ResponseBody public Map bb(@RequestParam Map map){ return usersService.updTest(map); } @GetMapping(value = "/cc") @ResponseBody public Integer cc(@RequestParam Map map){ return usersService.delTest(map); } @GetMapping(value = "/dd") @ResponseBody public String dd(){ List<?> objects = usersService.queryTest(); return JSON.toJSONString(objects); } }
10.啟動主程序類
11,打開網頁進行測試
1.mysql數據庫的值為
2.啟動Redis數據庫 (此時無數據)
3.訪問 http://127.0.0.1:8080/aa?id=1 返回id為1的數據
1)查看Redis的數據 此時數據存到了Redis里有效時間600秒
2)查看控制台上的輸出
可以看出,程序訪問了mysql數據表
3)刷新頁面 再次查看控制台輸出
4)修改數據(修改緩存) 查看控制台輸出 http://127.0.0.1:8080/bb?username=00&password=00&phone=00&IDnumber=00&id=1
可以看出 我修改一條數據控制台也有打印,Redis的值也隨着發生變化
5)再次查詢id為1的數據 http://127.0.0.1:8080/aa?id=1
再次查看控制台
當我們修改結束,再次查看數據,沒有輸出 就是直接查的是Redis的緩存數據沒有查詢mysql的表數據
6)清除緩存 http://127.0.0.1:8080/cc?id=1 (刪除id為1的數據)
刪除成功
Redis數據也確實刪除了
我們再次查詢刪除的id為1的數據
緩存也清除成功!