Spring Boot 整合JDBC

今天主要讲解一下SpringBoot如何整合JDBC,没啥理论好说的,直接上代码,看项目整体结构

看一下对应的pom.xml

    4.0.0

    spring_boot_jdbc

    
        org.springframework.boot
        spring-boot-starter-parent
        1.5.2.RELEASE
    

    
        UTF-8
        UTF-8
        1.8
    

    

        
            org.springframework.boot
            spring-boot-starter-jdbc
        


        
            mysql
            mysql-connector-java
            5.1.36
            runtime
        

        
        
            com.alibaba
            druid
            1.1.5
        

        
        
            org.springframework.boot
            spring-boot-starter-web
        

    

定义User.java

package com.springboot.jdbc.bean;

import java.math.BigDecimal;

/**
* @Author 18011618
* @Date 9:49 2018/7/9
* @Function 用户信息
*/
public class User {

  public User(Long id, String username) {
    super();
    this.id = id;
    this.username = username;
  }

  public User() {
    super();
  }

  private Long id;

  private String username;

  public Long getId() {
    return this.id;
  }

  public void setId(Long id) {
    this.id = id;
  }

  public String getUsername() {
    return this.username;
  }

  public void setUsername(String username) {
    this.username = username;
  }


}

定义数据源配置,这里使用druid，所以需要写一个配置类

package com.springboot.jdbc.config;
 
import java.sql.SQLException;
import javax.sql.DataSource;
import org.springframework.beans.factory.annotation.Value;
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 org.springframework.context.annotation.Primary;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
/**
* @Author 18011618
* @Date 17:19 2018/7/16
* @Function druid配置
*/
@Configuration
public class DruidConfig {
	
	@Value("${spring.datasource.url}")
	private String dbUrl;
 
	@Value("${spring.datasource.username}")
	private String username;
 
	@Value("${spring.datasource.password}")
	private String password;
 
	@Value("${spring.datasource.driver-class-name}")
	private String driverClassName;
 
	@Value("${spring.datasource.initialSize}")
	private int initialSize;
 
	@Value("${spring.datasource.minIdle}")
	private int minIdle;
 
	@Value("${spring.datasource.maxActive}")
	private int maxActive;
 
	@Value("${spring.datasource.maxWait}")
	private int maxWait;
 
	@Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
	private int timeBetweenEvictionRunsMillis;
 
	@Value("${spring.datasource.minEvictableIdleTimeMillis}")
	private int minEvictableIdleTimeMillis;
 
	@Value("${spring.datasource.validationQuery}")
	private String validationQuery;
 
	@Value("${spring.datasource.testWhileIdle}")
	private boolean testWhileIdle;
 
	@Value("${spring.datasource.testOnBorrow}")
	private boolean testOnBorrow;
 
	@Value("${spring.datasource.testOnReturn}")
	private boolean testOnReturn;
 
	@Value("${spring.datasource.poolPreparedStatements}")
	private boolean poolPreparedStatements;
 
	@Value("${spring.datasource.filters}")
	private String filters;
	
	@Value("${spring.datasource.logSlowSql}")
	private String logSlowSql;
	
	@Bean
	@Primary //选择默认的数据源
	public DataSource dataSource(){

		DruidDataSource datasource = new DruidDataSource();
		datasource.setUrl(dbUrl);
		datasource.setUsername(username);
		datasource.setPassword(password);
		datasource.setDriverClassName(driverClassName);
		datasource.setInitialSize(initialSize);
		datasource.setMinIdle(minIdle);
		datasource.setMaxActive(maxActive);
		datasource.setMaxWait(maxWait);
		datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
		datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
		datasource.setValidationQuery(validationQuery);
		datasource.setTestWhileIdle(testWhileIdle);
		datasource.setTestOnBorrow(testOnBorrow);
		datasource.setTestOnReturn(testOnReturn);
		datasource.setPoolPreparedStatements(poolPreparedStatements); 
		try {
			datasource.setFilters(filters);
		} catch (SQLException e) {

			e.printStackTrace();
		}
		return datasource;
	}

	/**
	 *
	 * @return 添加登录权限
	 */
	@Bean
	    public ServletRegistrationBean druidServlet() {
	        ServletRegistrationBean reg = new ServletRegistrationBean();
	        reg.setServlet(new StatViewServlet());
	        reg.addUrlMappings("/druid/*");
	        reg.addInitParameter("loginUsername", username);
	        reg.addInitParameter("loginPassword", password);
	        reg.addInitParameter("logSlowSql", logSlowSql);
	        return reg;
	    }

	/**
	 * 过滤规则
	 * @return
	 */
	@Bean
	    public FilterRegistrationBean filterRegistrationBean() {
	        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
	        filterRegistrationBean.setFilter(new WebStatFilter());
	        filterRegistrationBean.addUrlPatterns("/*");
	        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
	        filterRegistrationBean.addInitParameter("profileEnable", "true");
	        return filterRegistrationBean;
	    }
}

上面指定druid的属性配置,和用户登录的账号信息以及对应的过滤规则:

下面定义数据访问接口和对应的实现:

package com.springboot.jdbc.resposity;

import com.springboot.jdbc.bean.User;

/**
 * @Author 18011618
 * @Description
 * @Date 13:00 2018/7/13
 * @Modify By
 */
public interface IUserDAO {
    User findUserById(long id);
}

package com.springboot.jdbc.resposity;

import com.springboot.jdbc.bean.User;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.jdbc.core.BeanPropertyRowMapper;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.stereotype.Repository;

import java.util.List;

/**
 * @Author 18011618
 * @Description 使用JdbcTemplate模板
 * @Date 13:09 2018/7/13
 * @Modify By
 */
@Repository
public class UserDAO implements IUserDAO {
    @Autowired
    private JdbcTemplate jdbcTemplate;
    @Override
    public User findUserById(long id) {
        List list = jdbcTemplate.query("select * from user where id = ?", new Object[]{id}, new BeanPropertyRowMapper(User.class));
        if(list!=null && list.size()>0){
            User account = list.get(0);
            return account;
        }else{
            return null;
        }
    }
}

数据访问层很简单,直接注入JdbcTemplate模板即可，下面再看对应的service和实现

package com.springboot.jdbc.service;

import com.springboot.jdbc.bean.User;

/**
 * @Author 18011618
 * @Description
 * @Date 13:01 2018/7/13
 * @Modify By
 */
public interface IUserService {
    User findUser(long id);
}

package com.springboot.jdbc.service;

import com.springboot.jdbc.bean.User;
import com.springboot.jdbc.resposity.IUserDAO;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

/**
 * @Author 18011618
 * @Description
 * @Date 13:19 2018/7/13
 * @Modify By
 */
@Service
public class UserService implements IUserService {
    @Autowired
    private IUserDAO userDAO;
    @Override
    public User findUser(long id) {
        return userDAO.findUserById(id);
    }
}

写一个测试的controller:

package com.springboot.jdbc.controller;

import com.springboot.jdbc.bean.User;
import com.springboot.jdbc.service.IUserService;
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;

/**
 * @Author 18011618
 * @Description
 * @Date 13:00 2018/7/13
 * @Modify By
 */
@RestController
public class UserController {
    @Autowired
    private IUserService userService;
    @GetMapping("/findUser/{id}")
    public User findUser(@PathVariable long id){
        return userService.findUser(id);
    }
}

对应的application.yaml配置文件

server:
  port: 8888

spring:
    datasource:
        driver-class-name: com.mysql.jdbc.Driver #加载数据库的驱动
        filters: stat,wall,log4j #过滤类型
        initialSize: 5 #资源池初始化大小
        maxActive: 20 #资源池最大激活数
        maxOpenPreparedStatements: 20
        maxWait: 60000 #最大等待时间
        minEvictableIdleTimeMillis: 300000
        minIdle: 1 #最小空闲数量
        password: 123123
        poolPreparedStatements: true
        testOnBorrow: false
        testOnReturn: false
        testWhileIdle: true
        timeBetweenEvictionRunsMillis: 60000
        type: com.alibaba.druid.pool.DruidDataSource
        url: jdbc:mysql://localhost:3306/emp
        username: root
        validationQuery: select 'x'
        logSlowSql: true

写一个启动应用类:

package com.springboot.jdbc;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.EnableAutoConfiguration;
import org.springframework.boot.autoconfigure.SpringBootApplication;

/**
 * @Author 18011618
 * @Description
 * @Date 13:22 2018/7/13
 * @Modify By
 */
@SpringBootApplication
@EnableAutoConfiguration
public class JdbcTemplateApplication {
    public static void main(String[] args) {
        SpringApplication.run(JdbcTemplateApplication.class,args);
    }
}

到此为止代码和配置文件都讲解完了,接下来进行创建数据库和数据表:
SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for `user`
-- ----------------------------
DROP TABLE IF EXISTS `user`;
CREATE TABLE `user` (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `username` varchar(255) DEFAULT NULL,
  UNIQUE KEY `id_x` (`id`) USING BTREE
) ENGINE=InnoDB AUTO_INCREMENT=5 DEFAULT CHARSET=utf8;

-- ----------------------------
-- Records of user
-- ----------------------------
INSERT INTO `user` VALUES ('1', 'jiahp');
INSERT INTO `user` VALUES ('2', 'wangli');
INSERT INTO `user` VALUES ('3', 'guoyanbin');
INSERT INTO `user` VALUES ('4', 'yaodong');

这里加了一个新注解:

@EnableAutoConfiguration:它是为了自动检查依赖的配置

等应用成功启动成功之后,在浏览器端访问 http://localhost:8888/findUser/1 对应结果如下:

当然可以都访问几个id,然后再访问druid的监控页面 在浏览器端访问  http://localhost:8888/druid/login.html

会弹出登录对话框,输入配置文件里面的用户名和密码就会登录成功,然后跳转到下面这样的页面

这上面的功能很多,比如sql监控:可以看到查询了哪些sql语句

还有url监控 可以查询对应sql调用的api:

还有其他功能,可以自己都点点看,还是蛮强大的,好了到此为止springboot和jdbc的整合就介绍完了..

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