Spring Framework 為 SQL 數據庫提供了廣泛的支持。從直接使用 JdbcTemplate 進行 JDBC 訪問到完全的對象關系映射(object relational mapping)技術,比如 Hibernate。Spring Data 提供了更多級別的功能,直接從接口創建的 Repository 實現,並使用了約定從方法名生成查詢。
1、JDBC
1、創建項目,導入需要的依賴
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
2、配置數據源
spring:
datasource:
username: root
password: 123456
url: jdbc:mysql://127.0.0.1:3306/databasesname?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
3、測試類代碼
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import javax.sql.DataSource;
import java.sql.Connection;
import java.sql.SQLException;
@SpringBootTest
class DataApplicationTests {
@Autowired
DataSource dataSource;
@Test
void contextLoads() throws SQLException {
System.out.println(dataSource.getClass());
Connection connection = dataSource.getConnection();
System.out.println(connection);
connection.close();
}
}
//可以看到默認配置的數據源為class com.zaxxer.hikari.HikariDataSource,我們沒有經過任何配置,說明springboot默認情況下支持的就是這種數據源,可以在DataSourceProperties.java文件中查看具體的屬性配置
4、crud操作
1、有了數據源(com.zaxxer.hikari.HikariDataSource),然后可以拿到數據庫連接(java.sql.Connection),有了連接,就可以使用連接和原生的 JDBC 語句來操作數據庫
2、即使不使用第三方第數據庫操作框架,如 MyBatis等,Spring 本身也對原生的JDBC 做了輕量級的封裝,即 org.springframework.jdbc.core.JdbcTemplate。
3、數據庫操作的所有 CRUD 方法都在 JdbcTemplate 中。
4、Spring Boot 不僅提供了默認的數據源,同時默認已經配置好了 JdbcTemplate 放在了容器中,程序員只需自己注入即可使用
5、JdbcTemplate 的自動配置原理是依賴 org.springframework.boot.autoconfigure.jdbc 包下的 org.springframework.boot.autoconfigure.jdbc.JdbcTemplateAutoConfiguration 類
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
import java.util.Map;
@RestController
public class JDBCController {
@Autowired
JdbcTemplate jdbcTemplate;
@GetMapping("/emplist")
public List<Map<String,Object>> empList(){
String sql = "select * from emp";
List<Map<String, Object>> maps = jdbcTemplate.queryForList(sql);
return maps;
}
@GetMapping("/addEmp")
public String addUser(){
String sql = "insert into emp(empno,ename) values(1111,'zhangsan')";
jdbcTemplate.update(sql);
return "success";
}
@GetMapping("/updateEmp/{id}")
public String updateEmp(@PathVariable("id") Integer id){
String sql = "update emp set ename=? where empno = "+id;
String name = "list";
jdbcTemplate.update(sql,name);
return "update success";
}
@GetMapping("/deleteEmp/{id}")
public String deleteEmp(@PathVariable("id")Integer id){
String sql = "delete from emp where empno = "+id;
jdbcTemplate.update(sql);
return "delete success";
}
}
2、自定義數據源DruidDataSource
通過源碼查看DataSourceAutoConfiguration.java
@Configuration(proxyBeanMethods = false)
@ConditionalOnClass({ DataSource.class, EmbeddedDatabaseType.class })
@EnableConfigurationProperties(DataSourceProperties.class)
@Import({ DataSourcePoolMetadataProvidersConfiguration.class, DataSourceInitializationConfiguration.class })
public class DataSourceAutoConfiguration {
@Configuration(proxyBeanMethods = false)
@Conditional(EmbeddedDatabaseCondition.class)
@ConditionalOnMissingBean({ DataSource.class, XADataSource.class })
@Import(EmbeddedDataSourceConfiguration.class)
protected static class EmbeddedDatabaseConfiguration {
}
@Configuration(proxyBeanMethods = false)
@Conditional(PooledDataSourceCondition.class)
@ConditionalOnMissingBean({ DataSource.class, XADataSource.class })
@Import({ DataSourceConfiguration.Hikari.class, DataSourceConfiguration.Tomcat.class,
DataSourceConfiguration.Dbcp2.class, DataSourceConfiguration.Generic.class,
DataSourceJmxConfiguration.class })
protected static class PooledDataSourceConfiguration {
}
/**
* {@link AnyNestedCondition} that checks that either {@code spring.datasource.type}
* is set or {@link PooledDataSourceAvailableCondition} applies.
*/
static class PooledDataSourceCondition extends AnyNestedCondition {
PooledDataSourceCondition() {
super(ConfigurationPhase.PARSE_CONFIGURATION);
}
@ConditionalOnProperty(prefix = "spring.datasource", name = "type")
static class ExplicitType {
}
@Conditional(PooledDataSourceAvailableCondition.class)
static class PooledDataSourceAvailable {
}
}
1、添加druid的maven配置
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.1.12</version>
</dependency>
2、添加數據源的配置
spring:
datasource:
username: root
password: 123456
url: jdbc:mysql://192.168.85.111:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
3、測試發現數據源已經更改
4、druid是數據庫連接池,可以添加druid的獨有配置
spring:
datasource:
username: root
password: 123456
url: jdbc:mysql://192.168.85.111:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
#Spring Boot 默認是不注入這些屬性值的,需要自己綁定
#druid 數據源專有配置
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
#配置監控統計攔截的filters,stat:監控統計、log4j:日志記錄、wall:防御sql注入
#如果允許時報錯 java.lang.ClassNotFoundException: org.apache.log4j.Priority
#則導入 log4j 依賴即可,Maven 地址: https://mvnrepository.com/artifact/log4j/log4j
filters: stat,wall,log4j
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
測試類,發現配置的參數沒有生效
import com.alibaba.druid.pool.DruidDataSource;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import javax.sql.DataSource;
import java.sql.Connection;
import java.sql.SQLException;
@SpringBootTest
class DataApplicationTests {
@Autowired
DataSource dataSource;
@Test
void contextLoads() throws SQLException {
System.out.println(dataSource.getClass());
Connection connection = dataSource.getConnection();
System.out.println(connection);
DruidDataSource druidDataSource = (DruidDataSource)dataSource;
System.out.println(druidDataSource.getMaxActive());
System.out.println(druidDataSource.getInitialSize());
connection.close();
}
}
需要定義druidDatasource的配置類,綁定參數
import com.alibaba.druid.pool.DruidDataSource;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import javax.sql.DataSource;
@Configuration
public class DruidConfig {
@ConfigurationProperties(prefix = "spring.datasource")
@Bean
public DataSource druidDataSource(){
return new DruidDataSource();
}
}
Druid數據源還具有監控的功能,並提供了一個web界面方便用戶進行查看。
加入log4j的日志依賴
<!-- https://mvnrepository.com/artifact/log4j/log4j -->
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
向DruidConfig中添加代碼,配置druid監控管理台的servlet
import com.alibaba.druid.pool.DruidDataSource;
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.servlet.Servlet;
import javax.sql.DataSource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;
@Configuration
public class DruidConfig {
@ConfigurationProperties(prefix = "spring.datasource")
@Bean
public DataSource druidDataSource(){
return new DruidDataSource();
}
@Bean
public ServletRegistrationBean druidServletRegistrationBean(){
ServletRegistrationBean<Servlet> servletRegistrationBean = new ServletRegistrationBean<>(new StatViewServlet(),"/druid/*");
Map<String,String> initParams = new HashMap<>();
initParams.put("loginUsername","admin");
initParams.put("loginPassword","123456");
//后台允許誰可以訪問
//initParams.put("allow", "localhost"):表示只有本機可以訪問
//initParams.put("allow", ""):為空或者為null時,表示允許所有訪問
initParams.put("allow","");
//deny:Druid 后台拒絕誰訪問
//initParams.put("msb", "192.168.1.20");表示禁止此ip訪問
servletRegistrationBean.setInitParameters(initParams);
return servletRegistrationBean;
}
//配置 Druid 監控 之 web 監控的 filter
//WebStatFilter:用於配置Web和Druid數據源之間的管理關聯監控統計
@Bean
public FilterRegistrationBean webStatFilter() {
FilterRegistrationBean bean = new FilterRegistrationBean();
bean.setFilter(new WebStatFilter());
//exclusions:設置哪些請求進行過濾排除掉,從而不進行統計
Map<String, String> initParams = new HashMap<>();
initParams.put("exclusions", "*.js,*.css,/druid/*");
bean.setInitParameters(initParams);
//"/*" 表示過濾所有請求
bean.setUrlPatterns(Arrays.asList("/*"));
return bean;
}
}
3、springboot配置多數據源並動態切換
DataSource是和線程綁定的,動態數據源的配置主要是通過繼承AbstractRoutingDataSource類實現的,實現在AbstractRoutingDataSource類中的 protected Object determineCurrentLookupKey()方法來獲取數據源,所以我們需要先創建一個多線程線程數據隔離的類來存放DataSource,然后在determineCurrentLookupKey()方法中通過這個類獲取當前線程的DataSource,在AbstractRoutingDataSource類中,DataSource是通過Key-value的方式保存的,我們可以通過ThreadLocal來保存Key,從而實現數據源的動態切換。
1、修改配置文件類
spring:
datasource:
local:
username: root
password: 123456
driver-class-name: com.mysql.jdbc.Driver
jdbc-url: jdbc:mysql://localhost:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
remote:
username: root
password: 123456
driver-class-name: com.mysql.jdbc.Driver
jdbc-url: jdbc:mysql://192.168.85.111:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
2、創建數據源枚舉類
public enum DataSourceType {
REMOTE,
LOCAL
}
3、數據源切換處理
創建一個數據源切換處理類,有對數據源變量的獲取、設置和情況的方法,其中threadlocal用於保存某個線程共享變量。
public class DynamicDataSourceContextHolder {
/**
* 使用ThreadLocal維護變量,ThreadLocal為每個使用該變量的線程提供獨立的變量副本,
* 所以每一個線程都可以獨立地改變自己的副本,而不會影響其它線程所對應的副本。
*/
private static final ThreadLocal<String> CONTEXT_HOLDER = new ThreadLocal<>();
/**
* 設置數據源變量
* @param dataSourceType
*/
public static void setDataSourceType(String dataSourceType){
System.out.printf("切換到{%s}數據源", dataSourceType);
CONTEXT_HOLDER.set(dataSourceType);
}
/**
* 獲取數據源變量
* @return
*/
public static String getDataSourceType(){
return CONTEXT_HOLDER.get();
}
/**
* 清空數據源變量
*/
public static void clearDataSourceType(){
CONTEXT_HOLDER.remove();
}
}
4、繼承AbstractRoutingDataSource
動態切換數據源主要依靠AbstractRoutingDataSource。創建一個AbstractRoutingDataSource的子類,重寫determineCurrentLookupKey方法,用於決定使用哪一個數據源。這里主要用到AbstractRoutingDataSource的兩個屬性defaultTargetDataSource和targetDataSources。defaultTargetDataSource默認目標數據源,targetDataSources(map類型)存放用來切換的數據源。
import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
import javax.sql.DataSource;
import java.util.Map;
public class DynamicDataSource extends AbstractRoutingDataSource {
public DynamicDataSource(DataSource defaultTargetDataSource, Map<Object, Object> targetDataSources) {
super.setDefaultTargetDataSource(defaultTargetDataSource);
super.setTargetDataSources(targetDataSources);
// afterPropertiesSet()方法調用時用來將targetDataSources的屬性寫入resolvedDataSources中的
super.afterPropertiesSet();
}
/**
* 根據Key獲取數據源的信息
*
* @return
*/
@Override
protected Object determineCurrentLookupKey() {
return DynamicDataSourceContextHolder.getDataSourceType();
}
}
5、注入數據源
import org.springframework.boot.autoconfigure.condition.ConditionalOnProperty;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import javax.sql.DataSource;
import java.util.HashMap;
import java.util.Map;
@Configuration
public class DataSourceConfig {
@Bean
@ConfigurationProperties("spring.datasource.remote")
public DataSource remoteDataSource() {
return DataSourceBuilder.create().build();
}
@Bean
@ConfigurationProperties("spring.datasource.local")
public DataSource localDataSource() {
return DataSourceBuilder.create().build();
}
@Bean(name = "dynamicDataSource")
@Primary
public DynamicDataSource dataSource(DataSource remoteDataSource, DataSource localDataSource) {
Map<Object, Object> targetDataSources = new HashMap<>();
targetDataSources.put(DataSourceType.REMOTE.name(), remoteDataSource);
targetDataSources.put(DataSourceType.LOCAL.name(), localDataSource);
return new DynamicDataSource(remoteDataSource, targetDataSources);
}
}
6、自定義多數據源切換注解
設置攔截數據源的注解,可以設置在具體的類上,或者在具體的方法上
import java.lang.annotation.*;
@Target(ElementType.METHOD)
@Retention(RetentionPolicy.RUNTIME)
@Documented
public @interface DataSource {
/**
* 切換數據源名稱
*/
DataSourceType value() default DataSourceType.REMOTE;
}
7、AOP攔截類的實現
通過攔截上面的注解,在其執行之前處理設置當前執行SQL的數據源的信息,CONTEXT_HOLDER.set(dataSourceType)這里的數據源信息從我們設置的注解上面獲取信息,如果沒有設置就是用默認的數據源的信息。
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.aspectj.lang.reflect.MethodSignature;
import org.springframework.core.annotation.Order;
import org.springframework.stereotype.Component;
import java.lang.reflect.Method;
@Aspect
@Order(1)
@Component
public class DataSourceAspect {
@Pointcut("@annotation(com.mult.DataSource)")
public void dsPointCut() {
}
@Around("dsPointCut()")
public Object around(ProceedingJoinPoint point) throws Throwable {
MethodSignature signature = (MethodSignature) point.getSignature();
Method method = signature.getMethod();
DataSource dataSource = method.getAnnotation(DataSource.class);
if (dataSource != null) {
DynamicDataSourceContextHolder.setDataSourceType(dataSource.value().name());
}
try {
return point.proceed();
} finally {
// 銷毀數據源 在執行方法之后
DynamicDataSourceContextHolder.clearDataSourceType();
}
}
}
8、使用切換數據源注解
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
import java.util.Map;
@RestController
public class EmpController {
@Autowired
JdbcTemplate jdbcTemplate;
@GetMapping("/local")
@DataSource(value = DataSourceType.LOCAL)
public List<Map<String, Object>> local(){
List<Map<String, Object>> maps = jdbcTemplate.queryForList("select * from emp");
return maps;
}
@GetMapping("/remote")
@DataSource(value = DataSourceType.REMOTE)
public List<Map<String, Object>> remote(){
List<Map<String, Object>> maps = jdbcTemplate.queryForList("select * from emp");
return maps;
}
}
9、在啟動項目的過程中會發生循環依賴的問題,直接修改啟動類即可
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.autoconfigure.jdbc.DataSourceAutoConfiguration;
@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
public class SpringbootDataApplication {
public static void main(String[] args) {
SpringApplication.run(SpringbootDataApplication.class, args);
}
}
4、springboot整合mybatis
1、導入mybatis的依賴
<!-- https://mvnrepository.com/artifact/org.mybatis.spring.boot/mybatis-spring-boot-starter -->
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.1.1</version>
</dependency>
2、配置數據源
spring:
datasource:
username: root
password: 123456
url: jdbc:mysql://192.168.85.111:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
3、測試類
import com.alibaba.druid.pool.DruidDataSource;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import javax.sql.DataSource;
import java.sql.Connection;
import java.sql.SQLException;
@SpringBootTest
class DataApplicationTests {
@Autowired
DataSource dataSource;
@Test
void contextLoads() throws SQLException {
System.out.println(dataSource.getClass());
Connection connection = dataSource.getConnection();
System.out.println(connection);
System.out.println(connection.getMetaData().getURL());
connection.close();
}
}
4、創建實體類
import java.sql.Date;
import java.util.Objects;
public class Emp {
private Integer empno;
private String ename;
private String job;
private Integer mgr;
private Date hiredate;
private Double sal;
private Double comm;
private Integer deptno;
public Emp() {
}
public Emp(Integer empno, String ename) {
this.empno = empno;
this.ename = ename;
}
public Emp(Integer empno, String ename, String job, Integer mgr, Date hiredate, Double sal, Double comm, Integer deptno) {
this.empno = empno;
this.ename = ename;
this.job = job;
this.mgr = mgr;
this.hiredate = hiredate;
this.sal = sal;
this.comm = comm;
this.deptno = deptno;
}
public Integer getEmpno() {
return empno;
}
public void setEmpno(Integer empno) {
this.empno = empno;
}
public String getEname() {
return ename;
}
public void setEname(String ename) {
this.ename = ename;
}
public String getJob() {
return job;
}
public void setJob(String job) {
this.job = job;
}
public Integer getMgr() {
return mgr;
}
public void setMgr(Integer mgr) {
this.mgr = mgr;
}
public Date getHiredate() {
return hiredate;
}
public void setHiredate(Date hiredate) {
this.hiredate = hiredate;
}
public Double getSal() {
return sal;
}
public void setSal(Double sal) {
this.sal = sal;
}
public Double getComm() {
return comm;
}
public void setComm(Double comm) {
this.comm = comm;
}
public Integer getDeptno() {
return deptno;
}
public void setDeptno(Integer deptno) {
this.deptno = deptno;
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (!(o instanceof Emp)) return false;
Emp emp = (Emp) o;
return Objects.equals(empno, emp.empno) &&
Objects.equals(ename, emp.ename) &&
Objects.equals(job, emp.job) &&
Objects.equals(mgr, emp.mgr) &&
Objects.equals(hiredate, emp.hiredate) &&
Objects.equals(sal, emp.sal) &&
Objects.equals(comm, emp.comm) &&
Objects.equals(deptno, emp.deptno);
}
@Override
public int hashCode() {
return Objects.hash(empno, ename, job, mgr, hiredate, sal, comm, deptno);
}
@Override
public String toString() {
return "Emp{" +
"empno=" + empno +
", ename='" + ename + '\'' +
", job='" + job + '\'' +
", mgr=" + mgr +
", hiredate=" + hiredate +
", sal=" + sal +
", comm=" + comm +
", deptno=" + deptno +
'}';
}
}
5、配置Mapper接口類
import org.apache.ibatis.annotations.Mapper;
import org.springframework.stereotype.Repository;
import java.util.List;
@Mapper
@Repository
public interface EmpMapper {
List<Emp> selectEmp();
Emp selectEmpById(Integer empno);
Integer addEmp(Emp emp);
Integer updateEmp(Emp emp);
Integer deleteEmp(Integer empno);
}
6、在resources下創建Emp.xml文件
<?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.mapper.EmpMapper">
<select id="selectEmp" resultType="Emp">
select * from emp
</select>
<select id="selectEmpById" resultType="Emp">
select * from emp where empno = #{empno}
</select>
<insert id="addEmp" parameterType="Emp">
insert into emp (empno,ename) values (#{empno},#{ename})
</insert>
<update id="updateEmp" parameterType="Emp">
update emp set ename=#{ename} where empno = #{empno}
</update>
<delete id="deleteEmp" parameterType="int">
delete from emp where empno = #{empno}
</delete>
</mapper>
7、添加配置文件
spring:
datasource:
username: root
password: 123456
url: jdbc:mysql://192.168.85.111:3306/demo?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
driver-class-name: com.mysql.jdbc.Driver
mybatis:
mapper-locations: classpath:mybatis/mapper/*.xml
type-aliases-package: com.entity
8、編寫controller
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
import java.util.List;
@RestController
public class EmpController {
@Autowired
private EmpMapper empMapper;
//選擇全部用戶
@GetMapping("/selectEmp")
public String selectEmp(){
List<Emp> emps = empMapper.selectEmp();
for (Emp Emp : emps) {
System.out.println(Emp);
}
return "ok";
}
//根據id選擇用戶
@GetMapping("/selectEmpById")
public String selectEmpById(){
Emp emp = empMapper.selectEmpById(1234);
System.out.println(emp);
return "ok";
}
//添加一個用戶
@GetMapping("/addEmp")
public String addEmp(){
empMapper.addEmp(new Emp(1234,"heheda"));
return "ok";
}
//修改一個用戶
@GetMapping("/updateEmp")
public String updateEmp(){
empMapper.updateEmp(new Emp(1234,"heihei"));
return "ok";
}
//根據id刪除用戶
@GetMapping("/deleteEmp")
public String deleteEmp(){
empMapper.deleteEmp(1234);
return "ok";
}
}
9、測試即可