启动springBoot项目,勾选JDBC和Mysql的驱动。springboot就会自动给我们生成对应的场景启动器。
导入maven依赖
<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>
配置SpringBoot的配置文件
spring: datasource: username: root password: 123456 #?serverTimezone=UTC解决时区的报错 url: jdbc:mysql://localhost:3306/mybatis?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8 driver-class-name: com.mysql.jdbc.Driver
这里新版的驱动是需要加上时区的设置不了就会报错。
test
@RunWith(SpringRunner.class) @SpringBootTest public class JdbcApplicationTests { @Autowired DataSource dataSource; @Test public void contextLoads() throws SQLException { System.out.println("使用的数据源是:"+dataSource.getClass()); Connection connection = dataSource.getConnection(); System.out.println("连接是:"+connection); } }
效果:
使用的数据源是:class com.zaxxer.hikari.HikariDataSource
连接:HikariProxyConnection@744021169 wrapping com.mysql.cj.jdbc.ConnectionImpl@67fc2aad
HikariDataSource是数据源中效率特别高的一个数据源,springboot默认使用Hikari作为他的数据源。
1.数据源的相关配置都在DataSourceProperties里面,
2.SpringBoot默认可以支持:org.apache.tomcat.jdbc.pool.DataSource、HikariDataSource、BasicDataSource
3、自定义数据源类型
@ConditionalOnMissingBean(DataSource.class) @ConditionalOnProperty(name = "spring.datasource.type") static class Generic { @Bean public DataSource dataSource(DataSourceProperties properties) { //使用DataSourceBuilder创建数据源,利用反射创建响应type的数据源,并且绑定相关属性 return properties.initializeDataSourceBuilder().build(); } }
4、操作数据库:自动配置了JdbcTemplate操作数据库
<dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.1.12</version> </dependency>
编写配置文件
spring: datasource: username: root password: 123456 #?serverTimezone=UTC解决时区的报错 url: jdbc:mysql://localhost:3306/mybatis?serverTimezone=UTC&useUnicode=true&characterEncoding=utf-8 driver-class-name: com.mysql.jdbc.Driver type: com.alibaba.druid.pool.DruidDataSource 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,去掉后监控界面sql无法统计,‘wall‘用于防火墙 filters: stat,wall,log4j maxPoolPreparedStatementPerConnectionSize: 20 useGlobalDataSourceStat: true connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
这是我们需要去配置druid
@Configuration public class DruidConfig { @ConfigurationProperties(prefix = "spring.datasource") @Bean public DataSource druid(){ return new DruidDataSource(); } //配置Druid的监控 //1、配置一个管理后台的Servlet @Bean public ServletRegistrationBean statViewServlet(){ ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*"); Map<String,String> initParams = new HashMap<>(); initParams.put("loginUsername","admin");//用户名 initParams.put("loginPassword","123456");//密码 initParams.put("allow","");//默认就是允许所有访问 initParams.put("deny","192.168.15.21"); bean.setInitParameters(initParams); return bean; } //2、配置一个web监控的filter @Bean public FilterRegistrationBean webStatFilter(){ FilterRegistrationBean bean = new FilterRegistrationBean(); bean.setFilter(new WebStatFilter()); Map<String,String> initParams = new HashMap<>(); initParams.put("exclusions","*.js,*.css,/druid/*"); bean.setInitParameters(initParams); bean.setUrlPatterns(Arrays.asList("/*")); return bean; } }
完成之后我们登陆 http://localhost:8080/druid/login.html 去访问。
原文:https://www.cnblogs.com/xiaoqiqistudy/p/11395692.html