通过实体类创建数据库

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如何通过 实体类 来创建数据库 学到了 就要给 大家分享出来 嘿嘿嘿

实体类生成数据库表

方法一 此方法仅支持 mysql数据库

  <dependency>
            <groupId>com.gitee.sunchenbin.mybatis.actable</groupId>
            <artifactId>mybatis-enhance-actable</artifactId>
            <version>1.1.1.RELEASE</version>
        </dependency>
              <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.21</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
             <dependency>
            <groupId>org.mybatis.spring.boot</groupId>
            <artifactId>mybatis-spring-boot-starter</artifactId>
            <version>2.2.0</version>
        </dependency>
        <!--mybatisplus启动器-->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>3.3.2</version>
        </dependency>

配置文件

#数据库配置
spring:
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC
    username: root
    password: "000000"
    type: com.alibaba.druid.pool.DruidDataSource
#mybatisplus配置
mybatis:
  table:
    auto: create
    #create	    系统启动后,会将所有的表删除掉,然后根据model中配置的结构重新建表,该操作会破坏原有数据。
    #update	    系统会自动判断哪些表是新建的,哪些字段要修改类型等,哪些字段要删除,哪些字段要新增,该操作不会破坏原有数据。
    #none 		系统不做任何处理。
    #add		新增表/新增字段/新增索引/新增唯一约束的功能,不做做修改和删除 (只在版本1.0.9.RELEASE及以上支持)。
  model:
    pack: com.test.tongydayi.entity #扫描用于创建表的对象的包名,多个包用“,”隔开
  database:
    type: mysql #数据库类型 目前只支持mysql
mybatis-plus:
  mapper-locations: classpath:/mapper/*mapper.xml

配置类

import com.alibaba.druid.pool.DruidDataSource;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.beans.factory.config.PropertiesFactoryBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.ComponentScan;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.jdbc.datasource.DataSourceTransactionManager;

@Configuration
@ComponentScan(basePackages = {"com.gitee.sunchenbin.mybatis.actable.manager.*"})
public class DataSourceConfig {

    @Value("${spring.datasource.driver-class-name}")
    private String driver;

    @Value("${spring.datasource.url}")
    private String url;

    @Value("${spring.datasource.username}")
    private String username;

    @Value("${spring.datasource.password}")
    private String password;

    @Bean
    public PropertiesFactoryBean configProperties() throws Exception{
        PropertiesFactoryBean propertiesFactoryBean = new PropertiesFactoryBean();
        PathMatchingResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
        propertiesFactoryBean.setLocations(resolver.getResources("classpath*:application.properties"));
        return propertiesFactoryBean;
    }

    @Bean
    public DruidDataSource dataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setDriverClassName(driver);
        dataSource.setUrl(url);
        dataSource.setUsername(username);
        dataSource.setPassword(password);
        dataSource.setMaxActive(30);
        dataSource.setInitialSize(10);
        dataSource.setValidationQuery("SELECT 1");
        dataSource.setTestOnBorrow(true);
        return dataSource;
    }

    @Bean
    public DataSourceTransactionManager dataSourceTransactionManager() {
        DataSourceTransactionManager dataSourceTransactionManager = new DataSourceTransactionManager();
        dataSourceTransactionManager.setDataSource(dataSource());
        return dataSourceTransactionManager;
    }

    @Bean
    public SqlSessionFactoryBean sqlSessionFactory() throws Exception{
        SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(dataSource());
        PathMatchingResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
        sqlSessionFactoryBean.setMapperLocations(resolver.getResources("classpath*:com/gitee/sunchenbin/mybatis/actable/mapping/*/*.xml"));
        sqlSessionFactoryBean.setTypeAliasesPackage("com.test.tongdayi.entity.*");
        return sqlSessionFactoryBean;
    }
}

import org.mybatis.spring.mapper.MapperScannerConfigurer;
import org.springframework.boot.autoconfigure.AutoConfigureAfter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
@AutoConfigureAfter(DataSourceConfig.class)
public class MyBatisMapperScannerConfig {

    @Bean
    public MapperScannerConfigurer mapperScannerConfigurer() throws Exception{
        MapperScannerConfigurer mapperScannerConfigurer = new MapperScannerConfigurer();
        mapperScannerConfigurer.setBasePackage("com.blog.table.mapper.*;com.gitee.sunchenbin.mybatis.actable.dao.*");
        mapperScannerConfigurer.setSqlSessionFactoryBeanName("sqlSessionFactory");
        return mapperScannerConfigurer;
    }

}

实体类

import com.alibaba.druid.sql.visitor.functions.Char;
import com.baomidou.mybatisplus.annotation.IdType;
import com.baomidou.mybatisplus.annotation.TableId;
import com.gitee.sunchenbin.mybatis.actable.annotation.Column;
import com.gitee.sunchenbin.mybatis.actable.annotation.IsAutoIncrement;
import com.gitee.sunchenbin.mybatis.actable.annotation.IsKey;
import com.gitee.sunchenbin.mybatis.actable.annotation.Table;
import com.gitee.sunchenbin.mybatis.actable.command.BaseModel;
import lombok.AllArgsConstructor;
import lombok.Data;
import lombok.NoArgsConstructor;

import java.util.Date;

@Data
@AllArgsConstructor
@NoArgsConstructor
@Table(name = "user")//设置表名
public class User extends BaseModel {

    @TableId(type = IdType.AUTO)//mybatis-plus主键注解
    @IsAutoIncrement   //自增
    @IsKey             //actable主键注解
    @Column(comment = "用户ID")//对应数据库字段,不配置name会直接采用属性名作为字段名comment是注解
    private Long id;
    @Column(comment = "昵称")
    private String nickName;
    @Column(comment = "邮箱")
    private String email;
    @Column(name = "create_time",comment = "创建时间")
    private Date createTime;
    @Column(name = "update_time",comment = "修改时间")
    private Date updateTime;
    @Column(comment = "头像")
    private String avatar;
    @Column(comment = "用户名")
    private String username;
    @Column(comment = "密码")
    private String password;
    @Column(comment = "性别",type = "char")
    private Char sex;
}

数据库

- 方法二 试过MySQL postgresql 数据库 其他未测试

  • 依赖 数据库驱动 二选一就行
<dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.postgresql</groupId>
            <artifactId>postgresql</artifactId>
            <scope>runtime</scope>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-jpa</artifactId>
        </dependency>

配置文件

#指定数据库类型
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
#指定数据库地址和编码方式
spring.datasource.url=jdbc\:mysql\://127.0.0.1\:3306/xiaomi?useUnicode=true&characterEncoding=UTF-8
#spring.datasource.url=jdbc:postgresql://127.0.0.1:5432/xinruishanghu
#数据库账号
spring.datasource.username=root
#数据库密码
spring.datasource.password=000000
#hibernate的命名策略
spring.jpa.hibernate.naming.strategy=org.hibernate.cfg.ImprovedNamingStrategy
#自动创建|更新|验证数据库表结构
#create:每次加载hibernate时都会删除上一次的生成的表
#update:
#最常用的属性,第一次加载hibernate时根据model类会自动建立起表的结构(前提是先建立好数据库),
#以后加载hibernate时根据 model类自动更新表结构
spring.jpa.hibernate.ddl-auto=update

实体类

//表示此类为一个实体类
@Entity
//不使用table默认为实体类名字
@Table(name = "aaa")
public class User {
    @Id
    @GeneratedValue(strategy = GenerationType.AUTO)
    private long id1;

    private int age;

    private String name;
//此处省略set get方法
}

数据库 postgresql postgresql

个人感觉第二种方便一点