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這篇文章主要介紹Redis框架如何搭建SpringBoot2.X,文中介紹的非常詳細,具有一定的參考價值,感興趣的小伙伴們一定要看完!
1、File→New→Project
2、點擊Next如圖所示,命名好Group和Artifact
3、Next后如圖所示,勾選中需要的依賴,Spring Initializr會自動導入所需的starter
4、創建項目成功后,pom.xml文件中的依賴如下
<?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 https://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.2.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.heny</groupId> <artifactId>spring-boot-redis</artifactId> <version>0.0.1-SNAPSHOT</version> <name>spring-boot-redis</name> <description>Demo project for Spring Boot</description> <properties> <java.version>1.8</java.version> </properties> <dependencies> <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>2.1.1</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <scope>runtime</scope> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> <exclusions> <exclusion> <groupId>org.junit.vintage</groupId> <artifactId>junit-vintage-engine</artifactId> </exclusion> </exclusions> </dependency> </dependencies> <build> <plugins> <plugin> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-maven-plugin</artifactId> </plugin> </plugins> </build> </project>
5、在pom.xml文件中添加redis的starter
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-data-redis</artifactId> </dependency>
6、創建JavaBean用于封裝數據庫數據,需要實現Serializable
package com.henya.springboot.bean; import java.io.Serializable; public class Employee implements Serializable{ private Integer id; private String lastName; private String email; private Integer gender; //性別 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 + "]"; } }
注意:
在寫JavaBean對象時需要實現Serializable接口否則會報以下錯誤:
Cannot deserialize; nested exception is org.springframework.core.serializer.support.SerializationFailedException
7、整合Mybatis操作數據庫,在application.properties配置文件中配置數據源信息
#serverTimezone用于指定時區,不然會報錯 spring.datasource.url=jdbc:mysql://localhost:3306/cache?serverTimezone=UTC spring.datasource.username=root spring.datasource.password=123456 # 開啟駝峰命名法規則 mybatis.configuration.map-underscore-to-camel-case=true #日志級別 logging.level.com.henya.springboot.mapper=debug
8、使用注解版Mybatis創建Mapper
package com.henya.springboot.mapper; import com.henya.springboot.bean.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},d_id=#{dId} WHERE id=#{id}") public void updateEmp(Employee employee); @Delete("DELETE FROM emlpoyee WHERE id=#{id}") public void delEmpById(Integer id); @Insert("INSERT INTO employee(lastName, email, gender, d_id) VALUES (#{lastName}, #{email}, #{gender}, #{dId})") public Employee insertEmp(Employee employee); @Select("SELECT * FROM employee WHERE lastName=#{lastName}") public Employee getEmpByLastName(String lastName); }
注意:
需要使用使用@MapperScan注解掃描Mapper所在的接口,只需要加在主程序類上即可。除此之外,還要使用@EnableCaching用于開啟緩存。
@MapperScan("com.henya.springboot.mapper") @SpringBootApplication @EnableCaching //開啟緩存 public class SpringBootRedisApplication { public static void main(String[] args) { SpringApplication.run(SpringBootRedisApplication.class, args); } }
9、編寫Service類,用于訪問數據庫或redis緩存
package com.henya.springboot.service; import com.henya.springboot.bean.Employee; import com.henya.springboot.mapper.EmployeeMapper; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.cache.annotation.*; import org.springframework.stereotype.Service; @CacheConfig(cacheNames = "emp") //抽取緩存的公共配置 @Service public class EmployeeService { @Autowired EmployeeMapper employeeMapper; /** * @param id * @return */ @Cacheable(cacheNames = {"emp"},keyGenerator = "myKeyGenerator") public Employee getEmpById(Integer id) { System.err.println("開始查詢"+ id +"號員工"); Employee employee = employeeMapper.getEmpById(id); return employee; } /** * @CachePut:既調用方法(這個方法必須要執行),又更新緩存數據 * @param employee * @return */ @CachePut(value = "emp",key = "#result.id") public Employee updateEmp(Employee employee){ System.err.println("開始更新" + employee.getId() + "號員工"); employeeMapper.updateEmp(employee); return employee; } /** * @CacheEvict:緩存清除 * @param id */ @CacheEvict(value = "emp",beforeInvocation = true) public void deleteEmp(Integer id){ System.err.println("刪除" + id + "員工"); int i = 10/0; }
10、編寫Controller類
package com.henya.springboot.controller; import com.henya.springboot.bean.Employee; import com.henya.springboot.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; /** * @Description: * @Author:HenYa * @CreatTime:2019/12/1 12:44 */ @RestController public class EmployeeController { @Autowired EmployeeService employeeService; @GetMapping("/emp/{id}") public Employee getEmpById(@PathVariable("id") Integer id){ Employee employee = employeeService.getEmpById(id); return employee; } @GetMapping("/emp") public Employee updateEmp(Employee employee){ Employee emp = employeeService.updateEmp(employee); return emp; } }
1、在瀏覽器訪問,也可以使用測試類,筆者使用了瀏覽器訪問http://localhost:8080/emp/1進行測試,初次訪問時,控制臺會提示開始查詢1號員工,如圖所示。
2、再次訪問時,控制臺并沒有sql日志,如圖所示。
3、此時使用RedisDesktopManager工具查看redis時有數據,并且cacheName為emp,如圖所示
只是emp對象被序列化了。查看源碼可知Redis默認使用Jdk進行序列化。
static RedisSerializer<Object> java(@Nullable ClassLoader classLoader) { return new JdkSerializationRedisSerializer(classLoader); }
查看RedisSerializer接口的實現有以下幾種:
我們常用的就是以json的格式進行序列化。但是需要自定義RedisCacheManager。
package com.henya.springboot.config; 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.serializer.GenericJackson2JsonRedisSerializer; import org.springframework.data.redis.serializer.RedisSerializationContext; import org.springframework.data.redis.serializer.RedisSerializer; /** * @Description: * @Author:HenYa * @CreatTime:2019/12/6 20:50 */ @Configuration public class MyRedisConfig { @Bean public RedisCacheManager empCacheManager(RedisConnectionFactory redisConnectionFactory){ //RedisCacheManager redisCacheManager = new RedisCacheManager(redisConnectionFactory); RedisCacheWriter redisCacheWriter = RedisCacheWriter.nonLockingRedisCacheWriter(redisConnectionFactory); RedisSerializer<Object> redisSerializer = new GenericJackson2JsonRedisSerializer(); RedisSerializationContext.SerializationPair<Object> pair = RedisSerializationContext.SerializationPair.fromSerializer(redisSerializer); RedisCacheConfiguration redisCacheConfiguration = RedisCacheConfiguration.defaultCacheConfig().serializeValuesWith(pair); // 默認會將CacheName作為key的前綴 return new RedisCacheManager(redisCacheWriter, redisCacheConfiguration); } }
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