Java连接数据库从入门到入土
Java连接数据库
一、最原始的连接数据库
是没有导入任何数据源的;只导入了一个数据库驱动:mysql-connector-java-8.0.27.jar
- 首先是编写
db.proterties
文件
driver=com.mysql.jdbc.Driver
url=jdbc:mysql://localhost:3306/shop?useUnicode=true&characterEncoding=utf8&useSSL=true
username=root
password=123456
- 为了方便使用可以编写一个
JdbcUtils
的工具类来获取连接和关闭连接
import java.io.InputStream;
import java.sql.*;
import java.util.Properties;
public class JdbcUtils {
private static String driver = null;
private static String url = null;
private static String username = null;
private static String password = null;
static{
try {
InputStream in = JdbcUtils.class.getClassLoader().getResourceAsStream("db.properties");
Properties properties = new Properties();
properties.load(in);
driver = properties.getProperty("driver");
url = properties.getProperty("url");
username = properties.getProperty("username");
password = properties.getProperty("password");
//驱动只用加载一次
Class.forName(driver);
} catch (Exception e) {
e.printStackTrace();
}
}
//获取链接
public static Connection getConection() throws SQLException {
return DriverManager.getConnection(url,username,password);
}
//释放资源
public static void releass(Connection conn, Statement st, ResultSet rs){
if(rs!=null){
try {
rs.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
if(st!=null){
try {
st.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
if(conn!=null){
try {
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
}
- 可以编写一个测试程序来测试sql语句操作了
import mysqlTest.uttils.JdbcUtils;
import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;
//SQL注入
public class SqlInjection {
public static void main(String[] args) {
// login("吴八","123456");
login(" 'or '1=1"," 'or '1=1");//SQL注入
}
//登入业务
public static void login(String username,String password){
Connection conn=null;
Statement st=null;
ResultSet rs=null;
try {
conn= JdbcUtils.getConection();
//方式一:这个是有sql注入风险的
/**
st=conn.createStatement();
//SQl
String sql="select * from users where `name` = '"+username+"' AND `password`='"+password+"'";
rs=st.executeQuery(sql);//查询完返回一个结果集
*/
//方式二:这个没有sql注入风险;使用占位符
String sql = "select * from users where `name` =?" + "AND `password`=?";
st = conn.prepareStatement(sql);
st.setString(1,username);
st.setString(2,password);
while (rs.next()){
System.out.println(rs.getString("name"));
System.out.println(rs.getString("password"));
System.out.println("=======================================");
}
} catch (SQLException e) {
e.printStackTrace();
}finally {
JdbcUtils.releass(conn,st,rs);
}
}
}
- 至此java就连上数据库了,只是这个比较简陋,不好使用和统一管理,但是对于新手来说,连接上就已经很神奇了。
二、JavaWeb阶段使用druid数据源来连接数据库
数据源 druid-1.2.8.jar
以下是学习尚硅谷的JavaWeb
课程所学,感谢!!!
- 第一步仍然是编写
jdbc.properties
文件
username=root
password=123456
url=jdbc:mysql://localhost:3306/form?useSSL=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=UTC
driverClassName=com.mysql.jdbc.Driver
initialSize=5
maxActive=10
- 依然编写一个
JdbcUtils
的工具类,方便操作数据库,只是这里不同的是开启了事务,所以使用了ThreadLocal
线程类来统一数据库的连接
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidDataSourceFactory;
import java.io.InputStream;
import java.sql.Connection;
import java.sql.SQLException;
import java.util.Properties;
public class JdbcUtils {
private static final DruidDataSource dataSource;
private static final ThreadLocal<Connection> conns = new ThreadLocal<Connection>();
static {
try {
//读取jdbc.properties的属性配置位置
InputStream inputStream = JdbcUtils.class.getClassLoader().getResourceAsStream("jdbc.properties");
Properties properties = new Properties();
//从流中加载数据
properties.load(inputStream);
//创建了数据连接池
dataSource = (DruidDataSource) DruidDataSourceFactory.createDataSource(properties);
} catch (Exception e) {
e.printStackTrace();
throw new RuntimeException(e);
}
}
/**
* 获取数据库连接池的连接
* @return 如果返回null,获取连接失败;有值就是获取连接成功
*/
public static Connection getConnection(){
Connection conn = conns.get();
if(conn == null){
try {
conn = dataSource.getConnection();//从数据库连接池中国获取连接
conns.set(conn); //保存连接,给后面的jdbc使用
conn.setAutoCommit(false);//设置为手动管理
} catch (SQLException e){
e.printStackTrace();
}
}
return conn;
}
/**
* 提交事务并释放关闭连接
*/
public static void commitAndClose(){
Connection connection = conns.get();
if(connection != null){//如果不等于null说明以前使用过
try {
connection.commit();
} catch (SQLException e) {
e.printStackTrace();
}finally {
try {
connection.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
//用完后一定要remove,否则会出错
conns.remove();
}
/**
* 回滚事务并释放关闭连接
*/
public static void rollbackAndClose(){
Connection connection = conns.get();
if(connection != null){//如果不等于null说明以前使用过
try {
connection.rollback();
} catch (SQLException e) {
e.printStackTrace();
}finally {
try {
connection.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
//用完后一定要remove,否则会出错
conns.remove();
}
}
-
配置了上面这个后,最后还配置一个
filter
也就是web中的过滤器来配合使用就更加方便了;下面是配置过滤器- 首先编写过滤器类
import com.mhy.utils.JdbcUtils; import javax.servlet.*; import java.io.IOException; public class TransactionFilter implements Filter { @Override public void doFilter(ServletRequest servletRequest, ServletResponse servletResponse, FilterChain filterChain) throws IOException, ServletException { try { filterChain.doFilter(servletRequest,servletResponse); JdbcUtils.commitAndClose();//提交事务 } catch (Exception e) { JdbcUtils.rollbackAndClose(); e.printStackTrace(); //回滚事务 throw new RuntimeException(e); } } @Override public void init(FilterConfig filterConfig) throws ServletException { } @Override public void destroy() { } }
- 然后去web.xml中去注册和配置就可以了
<filter> <filter-name>TransactionFilter</filter-name> <filter-class>com.mhy.filter.TransactionFilter</filter-class> </filter> <filter-mapping> <filter-name>TransactionFilter</filter-name> <!-- 当前工程下的所有请求--> <url-pattern>/*</url-pattern> </filter-mapping>
-
然后可以编写一个父类来实现CRUD(增删改查)等操作
import com.mhy.utils.JdbcUtils; import org.apache.commons.dbutils.QueryRunner; import org.apache.commons.dbutils.handlers.BeanHandler; import org.apache.commons.dbutils.handlers.BeanListHandler; import org.apache.commons.dbutils.handlers.ScalarHandler; import java.sql.Connection; import java.sql.SQLException; import java.util.List; public abstract class BaseDao { //使用DbUtils操作数据库 private final QueryRunner queryRunner = new QueryRunner(); /** * update()方法用来执行:Insert/Update/Delete语句 * @return 如果返回-1,说明执行失败,其他表示影响的行数 */ public int update(String sql,Object ... args){ Connection connection = JdbcUtils.getConnection(); try { return queryRunner.update(connection,sql,args); } catch (SQLException e) { e.printStackTrace(); throw new RuntimeException(e); } } /** * 查询返回一个javaBean的语句 * @param type 返回的对象类型 * @param sql 执行的sql语句 * @param args sql对应的参数值 * @param <T> 返回的类型的泛型 * @return */ public <T> T queryForOne(Class<T> type,String sql,Object ... args){ Connection connection = JdbcUtils.getConnection(); try { return queryRunner.query(connection,sql,new BeanHandler<T>(type),args); } catch (SQLException e) { e.printStackTrace(); throw new RuntimeException(e); } } /** * 查询返回多个javaBean的语句 * @param type 返回的对象类型 * @param sql 执行的sql语句 * @param args sql对应的参数值 * @param <T> 返回的类型的泛型 * @return */ public <T> List<T> queryForList(Class<T> type, String sql, Object ... args){ Connection connection = JdbcUtils.getConnection(); try { return queryRunner.query(connection,sql,new BeanListHandler<T>(type),args); } catch (SQLException e) { e.printStackTrace(); throw new RuntimeException(e); } } /** * 执行返回一行一列的sql语句 * @param sql 执行的sql语句 * @param args 执行对应的参数值 * @return 返回相对于的数据 */ public Object queryForSingleValue(String sql,Object ... args){ Connection connection = JdbcUtils.getConnection(); try { return queryRunner.query(connection,sql,new ScalarHandler(),args); } catch (SQLException e) { e.printStackTrace(); throw new RuntimeException(e); } } }
-
最好遵守规范一个
xxxDao
接口,一个xxxDao
接口的实现了xxxDaoImpl
类- 接口
import com.mhy.pojo.User; public interface UserDao { /** * 根据用户名查询用户信息 * @param username 用户名 * @return 如果返回null,说明没有这个用户;反之亦然 */ public User queryUserByUsername(String username); /** * 根据用户名和用户查询用户信息 * @param username 用户名 * @param password 用户密码 * @return 如果返回null,说明用户名和密码错误;反之亦然 */ public User queryUserByUsernameAndPassword(String username,String password); /** * 保存用户信息 * @param user * @return 如果返回 -1表示操作失败,其他是sql语句影响的行数 */ public int saveUser(User user); }
- 实现类
import com.mhy.dao.UserDao; import com.mhy.pojo.User; public class UserDaoImpl extends BaseDao implements UserDao { @Override public User queryUserByUsername(String username) { String sql = "select `id`,`username`,`password`,`email` from t_user where username = ?"; return queryForOne(User.class,sql,username); } @Override public User queryUserByUsernameAndPassword(String username, String password) { String sql = "select `id`,`username`,`password`,`email` from t_user where username = ? and password = ?"; return queryForOne(User.class,sql,username,password); } @Override public int saveUser(User user) { String sql = "INSERT INTO `t_user`(`username`,`password`,`email`) \n" + "VALUES(?,?,?)"; return update(sql,user.getUsername(),user.getPassword(),user.getEmail()); } }
-
这样就编写好一个Dao连接数据库的简单实用了,这样在原生的
JavaWeb
上还是挺方便的,推荐使用
三、spring加mybatis来连接数据库
需要导入的maven的pom,xml
依赖,当然不同的版本需要自己测试
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.37</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.2.8</version>
</dependency>
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis</artifactId>
<version>3.5.9</version>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jdbc</artifactId>
<version>5.3.15</version>
</dependency>
<dependency>
<groupId>org.aspectj</groupId>
<artifactId>aspectjweaver</artifactId>
<version>1.9.4</version>
</dependency>
<dependency>
<groupId>org.mybatis</groupId>
<artifactId>mybatis-spring</artifactId>
<version>2.0.7</version>
</dependency>
- 依旧先编写
jdbc.proterties
jdbc.driver=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://localhost:3306/commodity?useSSL=true&useUnicode=true&characterEncoding=UTF-8
jdbc.username=root
jdbc.password=123456
-
编写
mybaties-config.xml
、spring-dao.xml
、spring-service.xml
文件mybaties-config.xml
<?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> <settings> <setting name="logImpl" value="STDOUT_LOGGING"/> <setting name="mapUnderscoreToCamelCase" value="true"/> <setting name="cacheEnabled" value="true"/> </settings> <typeAliases> <package name="com.mhy.ssm.pojo"/> </typeAliases> </configuration>
spring-dao.xml
<?xml version="1.0" encoding="UTF8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context https://www.springframework.org/schema/context/spring-context.xsd"> <!-- 1、关联数据库配置文件--> <context:property-placeholder location="classpath:jdbc.properties"/> <!-- 2、连接池--> <bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource" destroy-method="close" lazy-init="false"> <property name="driverClassName" value="${jdbc.driver}"/> <property name="url" value="${jdbc.url}"/> <property name="username" value="${jdbc.username}"/> <property name="password" value="${jdbc.password}"/> </bean> <!-- 3、sqlSessionFactory--> <bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean"> <property name="dataSource" ref="dataSource"/> <!-- spring 接管 mybatis-config.xml--> <property name="configLocation" value="classpath:mybatis-config.xml"/> <property name="mapperLocations" value="classpath:com/mhy/ssm/mapper/*.xml"/> </bean> <!-- 4、配置dao接口扫描包,动态实现了dao接口注入spring容器--> <bean class="org.mybatis.spring.mapper.MapperScannerConfigurer"> <property name="sqlSessionFactoryBeanName" value="sqlSessionFactory"/> <property name="basePackage" value="com.mhy.ssm.mapper"/> </bean> <!-- <context:component-scan base-package="com.mhy.ssm.mapper"/>--> </beans>
spring-service.xml
这个主要是展示开启事务
<?xml version="1.0" encoding="UTF8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xmlns:tx="http://www.springframework.org/schema/tx" xmlns:aop="http://www.springframework.org/schema/aop" xsi:schemaLocation="http://www.springframework.org/schema/beans https://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context https://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd http://www.springframework.org/schema/aop https://www.springframework.org/schema/aop/spring-aop.xsd"> <context:component-scan base-package="com.mhy.ssm.service"/> <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager"> <property name="dataSource" ref="dataSource"/> </bean> <tx:advice id="transactionInterceptor" transaction-manager="transactionManager"> <tx:attributes> <!-- 需要开启事务订单方法 --> <!-- 传播特性 propagation 默认是REQUIRED--> <!-- read-only="true"表只读事务--> <tx:method name="queryUsers" propagation="REQUIRED"/> <tx:method name="deleteUserById" propagation="REQUIRED"/> <tx:method name="addUser" propagation="REQUIRED"/> <tx:method name="updateUser" propagation="REQUIRED"/> <tx:method name="*"/> </tx:attributes> </tx:advice> <!-- - 事务的切入--> <aop:config proxy-target-class="true"> <aop:pointcut id="txPointcut" expression="execution(* com.mhy.ssm.service.*.*(..))"/> <aop:advisor advice-ref="transactionInterceptor" pointcut-ref="txPointcut"/> </aop:config> </beans>
-
然后就可以编写接口和mybatis的文件了
- 接口
import com.mhy.ssm.pojo.User; import org.apache.ibatis.annotations.Param; import java.util.List; public interface UserMapper { int addUser(User user); int updateUser(User user); int deleteUserById(@Param("userCode") String userCode); List<User> queryUsers(@Param("userCode") String userCode); }
mybatis
文件
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Config 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <mapper namespace="com.mhy.ssm.mapper.UserMapper"> <insert id="addUser" parameterType="user"> insert into t_user(user_code, user_name, phone, address) values (#{userCode},#{userName},#{phone},#{address}) </insert> <update id="updateUser" parameterType="user"> update t_user set user_name=#{userName},phone=#{phone},address=#{address} where user_code=#{userCode} </update> <delete id="deleteUserById" parameterType="String"> delete from t_user where user_code=#{userCode} </delete> <select id="queryUsers" resultType="user" parameterType="String"> select user_code,user_name,phone,address from t_user <where> <if test="userCode != null"> user_code=#{userCode} </if> </where> </select> </mapper>
-
这样
mybatis
也就连接上了数据了
四、SpringBoot连接数据库和整合mybatis
1、数据源连接数据库
需要导入的maven的pom,xml
依赖,当然不同的版本需要自己测试
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.2.8</version>
</dependency>
<dependency>
<groupId>org.apache.logging.log4j</groupId>
<artifactId>log4j-core</artifactId>
<version>2.17.1</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-thymeleaf</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
-
可以配置文件
application.yml
,application.properties
也类似,当然也可以自己定义java配置类
(也就@Config
注解的类)application.yml
spring: # datasource: # druid: # username: root # password: 123456 # url: jdbc:mysql://localhost:3306/smbms?useSSL=true&useUnicode=true&characterEncoding=UTF-8 # driver-class-name: com.mysql.cj.jdbc.Driver datasource: # 数据的用户账号 username: root # 数据的用户密码 password: 123456 # url url: jdbc:mysql://localhost:3306/smbms?useSSL=true&useUnicode=true&characterEncoding=UTF-8 driver-class-name: com.mysql.cj.jdbc.Driver # 更改连接的数据源 type: com.alibaba.druid.pool.DruidDataSource # 下面是druid的配置 druid: filters: - stat - wall - log4j # 开启过滤器一些驱动 filter: stat: enabled: true log-slow-sql: true merge-sql: true slow-sql-millis: 2000 wall: config: multi-statement-allow: true # 开启过滤器 web-stat-filter: # 这个必须设置为true才可以实现bean的自动注入 enabled: true exclusions: -"*.js" -"*.gif" -"*.jpg" -"*.png" -"*.css" -"*.ico" -"/monitor/druid/*" # 开启后台监控功能,但是现在加了监听器,使用必须开启监听器,否是无法显示sql监控 stat-view-servlet: # 这里必须设置为true才可以实现bean的自动注入 enabled: true # 后台登入账号 可以自己定义 login-username: 123456 # 后台登入密码 可以自己定义 login-password: 123456
或者这样都是可以的
spring: datasource: druid: username: root password: 123456 url: jdbc:mysql://localhost:3306/smbms?useUnicode=true&charactor=utf-8&useSSL=false driver-class-name: com.mysql.cj.jdbc.Driver filters: stat,wall,log4j stat-view-servlet: login-username: 123456 login-password: 123456 enabled: true web-stat-filter: enabled: true exclusions: -"*.js" -"*.gif" -"*.jpg" -"*.png" -"*.css" -"*.ico" -"/monitor/druid/*" 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 maxPoolPreparedStatementPerConnectionSize: 20 use-global-data-source-stat: true connection-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
-
自定义
java配置类
-
在自动配置java类时,有几个注意点和容易错误的点
-
第一就是配置
filters
时,需要和注入时的名称一致@ConfigurationProperties(prefix = "spring.datasource.druid") 需要和yaml中 spring: datasource: druid: 对应 或者也可以用下面的形式
-
第二就是一定要用
log4j
的原生包,如果用的是log4j-core
一定会在注册log4jFilter
时报错<!-- <dependency>--> <!-- <groupId>org.apache.logging.log4j</groupId>--> <!-- <artifactId>log4j-core</artifactId>--> <!-- <version>2.17.1</version>--> <!-- </dependency>--> <!-- 使用这种 --> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.17</version> </dependency>
- 当然首先的配置一下
yaml
spring: datasource: username: root password: 123456 url: jdbc:mysql://localhost:3306/smbms?useUnicode=true&charactor=utf-8&useSSL=false driver-class-name: com.mysql.cj.jdbc.Driver filters: stat,wall,log4j # 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 # maxPoolPreparedStatementPerConnectionSize: 20 # use-global-data-source-stat: true # connection-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
- 然后就位置Config类
import com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.spring.boot.autoconfigure.properties.DruidStatProperties; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; import org.springframework.boot.context.properties.ConfigurationProperties; import org.springframework.boot.web.servlet.FilterRegistrationBean; import org.springframework.boot.web.servlet.ServletRegistrationBean; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import javax.sql.DataSource; import java.util.HashMap; import java.util.Map; @Configuration public class DruidConfig { @Bean @ConfigurationProperties(prefix = "spring.datasource") public DataSource druidDataSource(){ return new DruidDataSource(); } @Bean public ServletRegistrationBean servletRegistrationBean(){ ServletRegistrationBean<StatViewServlet> servletRegistrationBean = new ServletRegistrationBean<>(new StatViewServlet(),"/druid/*"); Map<String,String> map = new HashMap<>(); map.put("loginUsername","admin"); map.put("loginPassword","admin"); map.put("allow",""); servletRegistrationBean.setInitParameters(map); return servletRegistrationBean; } @Bean public FilterRegistrationBean filterRegistrationBean(){ FilterRegistrationBean<WebStatFilter> filterRegistrationBean = new FilterRegistrationBean<>(); WebStatFilter webStatFilter = new WebStatFilter(); filterRegistrationBean.setFilter(webStatFilter); filterRegistrationBean.addUrlPatterns("/*"); filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"); return filterRegistrationBean; } }
-
- 虽然看上去比较多,但是功能确实强大了许多,而去都是配置,如果你需要连接数据库,就不用配置那么多
2、SpringBoot整合Mybatis
- 需要导入依赖
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.2.2</version>
</dependency>
- 在
application.yml
中配置Mybatis的信息
mybatis:
# 扫描的实体类包
type-aliases-package: com.mhy.pojo
# sql的xml文件的位置 在resources目录下
mapper-locations: classpath:mybatis/mapper/*.xml
configuration:
# 日志类
log-impl: org.apache.ibatis.logging.log4j2.Log4j2Impl
# 开启驼峰命名的转换
map-underscore-to-camel-case: true
cache-enabled: true
#开启控制台的日志输出
logging:
level:
com:
mhy:
mapper: debug
-
编写
Mapper接口
和Mapper.xml文件
Mapper接口
@Mapper @Repository public interface UserMapper { List<User> queryAllUsers(); void updateUserById(@Param("id") Integer id,@Param("userName") String userName); }
Mapper.xml文件
<?xml version="1.0" encoding="UTF-8" ?> <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Config 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd"> <mapper namespace="com.mhy.mapper.UserMapper"> <!-- 开启缓存 --> <cache readOnly="true"/> <select id="queryAllUsers" resultType="user"> select * from smbms.t_smbms_user </select> <update id="updateUserById"> update smbms.t_smbms_user set userName = #{userName} where id = #{id} </update </mapper>
这里注册Mapper有两种方式
- 方式一,Mapper类上加上
@Mappe
r注解
- 方法二,在主启动类上加入
@MapperScan
注解
-
然后就可以测试了,看看是否连接上了
-
开启事务的注解
@Transactional
一般用到service层的方法上
五、springboot整合mybatis-plus
-
创建数据库mybatis_plus
-
创建一个表user 并插入数据
CREATE TABLE USER ( id BIGINT(20) NOT NULL COMMENT '主键ID', NAME VARCHAR(30) NULL DEFAULT NULL COMMENT '姓名', age INT(11) NULL DEFAULT NULL COMMENT '年龄', email VARCHAR(50) NULL DEFAULT NULL COMMENT '邮箱', PRIMARY KEY (id) ); INSERT INTO USER (id, NAME, age, email) VALUES (1, 'Jone', 18, 'test1@baomidou.com'), (2, 'Jack', 20, 'test2@baomidou.com'), (3, 'Tom', 28, 'test3@baomidou.com'), (4, 'Sandy', 21, 'test4@baomidou.com'), (5, 'Billie', 24, 'test5@baomidou.com');
-
创建测试项目;以springBoot为例
-
导入依赖
<dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> </dependency> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> </dependency> <dependency> <groupId>com.baomidou</groupId> <artifactId>mybatis-plus-boot-starter-test</artifactId> <version>3.5.2</version> </dependency> <!-- 我一般导入druid的数据源,当然也可以使用springboot自带的 --> <dependency> <groupId>com.baomidou</groupId> <artifactId>mybatis-plus-boot-starter-test</artifactId> <version>3.5.2</version> </dependency>
-
编写配置文件application.yaml
server: port: 8081 spring: datasource: password: 123456 username: root url: jdbc:mysql://localhost:3306/mybatis_plus?useSSL=true&useUnicode=true&characterEncoding=UTF-8&serverTimezone=GMT%2B8 driver-class-name: com.mysql.cj.jdbc.Driver type: com.alibaba.druid.pool.DruidDataSource
-
编写实体类pojo和测试的Mapper
User实体类
package com.mhy.mybatis_plus.pojo; import lombok.AllArgsConstructor; import lombok.Data; import lombok.NoArgsConstructor; import lombok.ToString; @Data @AllArgsConstructor @NoArgsConstructor @ToString public class User { private Long id; private String name; private Integer age; private String email; }
mapper接口 这里只是继承了一个BaseMapper
的父类 @Repository public interface UserMapper extends BaseMapper<User> { }
需要在扫描mapper这个文件下的Mapper类
在主启动类上写MapperScan(路径)进行扫描
@SpringBootApplication @MapperScan("com.mhy.mybatis_plus.mapper") public class MybatisPlusApplication { public static void main(String[] args) { SpringApplication.run(MybatisPlusApplication.class, args); } }
-
开始测试:查询全部的users数据
@Test void contextLoads() { List<User> users = userMapper.selectList(null); users.forEach(System.out::println); }
结果:
配置日志
也就是把所有的sql显示出来;配置控制台输出
# 配置日志
mybatis-plus:
configuration:
log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
再次执行后