spring boot 两种配置数据库的方式

spring.datasource.druid方式 配置数据库:yml文件里添加如下:
 

spring:
  datasource:
    druid:
      driver-class-name: com.mysql.cj.jdbc.Driver
      url: jdbc:mysql://数据库地址:端口/数据库?useUnicode=true&characterEncoding=utf- 
        8&zeroDateTimeBehavior=convertToNull
      username: root
      password: 密码
      initial-size: 1
      max-active: 20
      min-idle: 1
      max-wait: 10000 #获取连接等待超时的时间
      pool-prepared-statements: true
      max-pool-prepared-statement-per-connection-size: 20
      max-open-prepared-statements: 20
      validation-query: SELECT 'x'
      validation-query-timeout: 2000
      test-on-borrow: false
      test-on-return: false
      test-while-idle: true
      time-between-eviction-runs-millis: 60000  #间隔多久才进行一次检测,检测需要关闭的空闲连 
         #接,单位是毫秒
      min-evictable-idle-time-millis: 300000  #连接在池中最小生存的时间,单位是毫秒
      filters: stat    #监控统计拦截的filters

以上这种用druid的方式不要在另外配置 @Configuration 类

用原始方式配置mysql数据源需要配置@Configuration 类:yml里添加如下

mysql:
   datasource:
     name: db
     type: com.alibaba.druid.pool.DruidDataSource
     url: jdbc:mysql://数据库地址:端口/数据库?useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull
     username: root
     password: 密码
     driver-class-name: com.mysql.cj.jdbc.Driver
     minIdle: 5
     maxActive: 100
     initialSize: 10
     maxWait: 60000
     timeBetweenEvictionRunsMillis: 60000
     minEvictableIdleTimeMillis: 300000
     validationQuery: select 'x'
     testWhileIdle: true
     testOnBorrow: false
     testOnReturn: false
     poolPreparedStatements: true
     maxPoolPreparedStatementPerConnectionSize: 50
     removeAbandoned: true
     filters: stat # ,wall,log4j # 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
     connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
     useGlobalDataSourceStat: true # 合并多个DruidDataSource的监控数据
     druidLoginName: hh # 登录druid的账号
     druidPassword: hh # 登录druid的密码

配置类:
 

package com.rabbitmq.config;
import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
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 javax.sql.DataSource;
import java.sql.SQLException;

 
@Configuration
public class DatasourceConfig {
	private Logger logger = LoggerFactory.getLogger(DatasourceConfig.class);

	@Value("${mysql.datasource.url}")
	private String dbUrl;

	@Value("${mysql.datasource.type}")
	private String dbType;

	@Value("${mysql.datasource.username}")
	private String username;

	@Value("${mysql.datasource.password}")
	private String password;

	@Value("${mysql.datasource.driver-class-name}")
	private String driverClassName;

	@Value("${mysql.datasource.initialSize}")
	private int initialSize;

	@Value("${mysql.datasource.minIdle}")
	private int minIdle;

	@Value("${mysql.datasource.maxActive}")
	private int maxActive;

	@Value("${mysql.datasource.maxWait}")
	private int maxWait;

	@Value("${mysql.datasource.timeBetweenEvictionRunsMillis}")
	private int timeBetweenEvictionRunsMillis;

	@Value("${mysql.datasource.minEvictableIdleTimeMillis}")
	private int minEvictableIdleTimeMillis;

	@Value("${mysql.datasource.validationQuery}")
	private String validationQuery;

	@Value("${mysql.datasource.testWhileIdle}")
	private boolean testWhileIdle;

	@Value("${mysql.datasource.testOnBorrow}")
	private boolean testOnBorrow;

	@Value("${mysql.datasource.testOnReturn}")
	private boolean testOnReturn;

	@Value("${mysql.datasource.poolPreparedStatements}")
	private boolean poolPreparedStatements;

	@Value("${mysql.datasource.filters}")
	private String filters;

	@Value("${mysql.datasource.connectionProperties}")
	private String connectionProperties;

	@Value("${mysql.datasource.useGlobalDataSourceStat}")
	private boolean useGlobalDataSourceStat;

	@Value("${mysql.datasource.druidLoginName}")
	private String druidLoginName;

	@Value("${mysql.datasource.druidPassword}")
	private String druidPassword;

	@Bean(name = "dataSource", destroyMethod = "close", initMethod = "init")
	@Primary  
	public DataSource dataSource() {
		DruidDataSource datasource = new DruidDataSource();
		try {
			datasource.setUrl(this.dbUrl);
			datasource.setDbType(dbType);
			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);
			datasource.setFilters(filters);
			datasource.setConnectionProperties(connectionProperties);
			datasource.setUseGlobalDataSourceStat(useGlobalDataSourceStat);
		} catch (SQLException e) {
			logger.error("druid configuration initialization filter", e);
		}
		return datasource;
	}

	/ 下面是druid 监控访问的设置 /
	@Bean
	public ServletRegistrationBean druidServlet() {
		ServletRegistrationBean reg = new ServletRegistrationBean();
		reg.setServlet(new StatViewServlet());
		reg.addUrlMappings("/druid/*"); // url 匹配
		reg.addInitParameter("allow", "192.168.9.110,127.0.0.1"); // IP白名单
		reg.addInitParameter("deny", "192.168.9.111"); // IP黑名单(存在共同时,deny优先于allow)
		reg.addInitParameter("loginUsername", this.druidLoginName);// 登录名
		reg.addInitParameter("loginPassword", this.druidPassword);// 登录密码
		reg.addInitParameter("resetEnable", "false"); // 禁用HTML页面上的“Reset All”功能
		return reg;
	}

	@Bean(name = "druidWebStatFilter")
	public FilterRegistrationBean filterRegistrationBean() {
		FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
		filterRegistrationBean.setFilter(new WebStatFilter());
		filterRegistrationBean.addUrlPatterns("/*");
		filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"); // 忽略资源
		filterRegistrationBean.addInitParameter("profileEnable", "true");
		filterRegistrationBean.addInitParameter("principalCookieName", "USER_COOKIE");
		filterRegistrationBean.addInitParameter("principalSessionName", "USER_SESSION");
		return filterRegistrationBean;
	}
}

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转载自blog.csdn.net/weixin_43075758/article/details/121379743