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SpringBoot整合JDBC、Druid数据源的示例代码

作者:人无名,则可专心练剑

这篇文章主要介绍了SpringBoot整合JDBC、Druid数据源,本文通过实例代码给大家介绍的非常详细,对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下

1.SpringBoot整合JDBCTemplate

1.1.导入jdbc相关依赖包

主要的依赖包:

<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>

<!--实现web页面接口调用-->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-web</artifactId>
</dependency>

1.2.yaml配置数据源

application.yml用于连接jdbc数据库操作数据源配置,这里是最简化的配置:

spring:
  datasource:
    username: root
    password: admin
    #假如时区报错,增加时区配置serverTimezone=UTC,以及编码配置
    url: jdbc:mysql://localhost:3306/mybatis02_0322?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
    driver-class-name: com.mysql.cj.jdbc.Driver

实际开发过程中基本上会与Druid、C3P0整合,下面也给出了整合Druid数据源相关的配置,所以这里一并放上完整的application.yml配置:

spring:
  datasource:
    username: root
    password: admin
    #假如时区报错,增加时区配置serverTimezone=UTC
    url: jdbc:mysql://localhost:3306/mybatis02_0322?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8
    driver-class-name: com.mysql.cj.jdbc.Driver
    type: com.alibaba.druid.pool.DruidDataSource

    #springboot 默认是不注入这些属性值的,需要自己绑定
    #druid 数据源专有配置
    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

    #配置监控统计拦截的filters,stat:监控统计、log4j:日志记录、wall:防止sql注入
    #如果允许时报错:java.lang.ClassNotFoundException:org.apache.log4j.Priority
    #则导入 log4j 依赖即可,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

最后测试一下数据库连接访问是否成功:

@SpringBootTest
class SpringbootDataApplicationTests {
    @Autowired
    private DataSource dataSource;

    @Test
    void testConnection() throws SQLException {
        System.out.println(dataSource.getClass());
        Connection connection = dataSource.getConnection();
        System.out.println(connection);
    }
}

打印成功,显示获取到了数据源信息:

1.3.界面访问接口测试

@RestController
public class JDBCController {
    @Autowired
    private JdbcTemplate jdbcTemplate;

    @RequestMapping("/queryList")
    public List<Map<String, Object>> query() {
        String sql = "select * from user";
        List<Map<String, Object>> queryForList = jdbcTemplate.queryForList(sql);
        return queryForList;
    }

    @RequestMapping("/addUser")
    public String AddUser(){
        String sql = "insert into mybatis02_0322.user(id, username, password) values(4, '李磊', '654321')";
        int update = jdbcTemplate.update(sql);
        return "AddUser Ok";
    }

    @RequestMapping("/update/{id}")
    public String update(@PathVariable("id") Integer id){
        String sql = "update mybatis02_0322.user set username = ?, password = ? where id = " + id;
        Object[] objects = new Object[2];
        objects[0] = "测试哈哈哈111";
        objects[1] = "32321";
        int update = jdbcTemplate.update(sql, objects);
        return "updateUser Ok";
    }

    @RequestMapping("/delete/{id}")
    public String delete(@PathVariable("id") Integer id){
        String sql = "delete from mybatis02_0322.user where id = " + id;
        int update = jdbcTemplate.update(sql);
        return "delete Ok";
    }
}

这里对应接口请求页面进行请求测试即可,后台数据库层面进行验证,比较简单,这里就不一一细说,对应可以去看我的源码。

2.SpringBoot整合DruidDataSource

2.1.Druid简介

Druid是阿里巴巴开源平台上一个数据库连接池实现,它结合了C3P0、DBCP、PROXOOL等DB池的优秀实践,同时加入了日志监控。

Druid可以很好地监控DB池连接和Sql的执行情况,是天生针对监控的DB连接池。

SpringBoot2.0以上默认使用Hikari数据源,可以说HiKari和Druid都是当前Java Web上开源的优秀数据源。

2.2.导入Druid相关依赖

对应pom.xml文件:

<!--整合alibaba druid数据源-->
<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.2.3</version>
</dependency>
<!--导入log4j日志包-->
<dependency>
    <groupId>log4j</groupId>
    <artifactId>log4j</artifactId>
    <version>1.2.17</version>
</dependency>

2.3.配置Druid并使用监控页面

①编写DruidConfig类,启用后台监控功能Bean以及过滤器Bean:

@Configuration
public class DruidConfig {

    @ConfigurationProperties(prefix = "spring.datasource")
    @Bean
    public DataSource druidDataSource(){
        return new DruidDataSource();
    }

    //后台监控功能
    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean<StatViewServlet> bean = new ServletRegistrationBean<>(new StatViewServlet(), "/druid/*");
        //后台需要有人登陆,账号密码配置
        HashMap<String, String> initParameters = new HashMap<>();
        initParameters.put("loginUsername", "admin");  //登陆key,是固定的  loginUsername loginPassword
        initParameters.put("loginPassword", "123456");
        //允许谁可以访问
        initParameters.put("allow", "");
        //禁止谁可以访问   initParameters.put("fengye", "192.168.1.10");
        bean.setInitParameters(initParameters);     //设置初始化参数

        return bean;
    }

    //过滤器
    @Bean
    public FilterRegistrationBean webStatFilter(){
        FilterRegistrationBean<Filter> bean = new FilterRegistrationBean<>();
        bean.setFilter(new WebStatFilter());

        HashMap<String, String> initParameters = new HashMap<>();
        //这些不进行统计
        initParameters.put("exclusions", "*.js,*.css,/druid/*");
        bean.setInitParameters(initParameters);

        return bean;
    }
}

②启动页面访问Druid并测试请求访问sql:

本博客写作参考文档相关:

https://docs.spring.io/spring-boot/docs/current/reference/htmlsingle/#using-boot-starter

https://www.yuque.com/atguigu/springboot/aob431#wtNk1

Spring Boot 2 学习笔记(上):https://blog.csdn.net/u011863024/article/details/113667634
Spring Boot 2 学习笔记(下):
https://blog.csdn.net/u011863024/article/details/113667946

示例代码已上传至Github地址:

https://github.com/devyf/SpringBoot_Study

到此这篇关于SpringBoot整合JDBC、Druid数据源的文章就介绍到这了,更多相关SpringBoot整合JDBC、Druid数据源内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

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