springboot系列(九)springboot使用druid数据源

时间:2022-03-08 16:11:47

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池的优点,同时加入了日志监控,可以很好的监控DB池连接和SQL的执行情况,可以说是针对监控而生的DB连接池(据说是目前最好的连接池)

可以结合上一篇理解druid的使用

一、引入druid依赖

<!-- druid数据库连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.26</version>
</dependency>

二、数据源配置

spring:
datasource:
type: com.alibaba.druid.pool.DruidDataSource
driverClassName: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/springbootdb?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8
username: root
password: 187664
#连接池的配置信息
initialSize: 10
minIdle: 10
maxActive: 100
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
# 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,slf4j
# 通过connectProperties属性来打开mergeSql功能;慢SQL记录
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据
#useGlobalDataSourceStat: true

三、编写DruidConfiguration配置类,通过@Bean注解的方式注入druid servlet和filter,以便提供监控页面访问

package com.chuhouqi.demo.common.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; /**
* Created by PrimaryKey on 17/2/4.
*/
@SuppressWarnings("AlibabaRemoveCommentedCode")
@Configuration
public class DruidDBConfig {
private Logger logger = LoggerFactory.getLogger(DruidDBConfig.class);
@Value("${spring.datasource.url}")
private String dbUrl; @Value("${spring.datasource.username}")
private String username; @Value("${spring.datasource.password}")
private String password; @Value("${spring.datasource.driverClassName}")
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.maxPoolPreparedStatementPerConnectionSize}")
private int maxPoolPreparedStatementPerConnectionSize; @Value("${spring.datasource.filters}")
private String filters; @Value("{spring.datasource.connectionProperties}")
private String connectionProperties; @Bean//声明其为Bean实例
@Primary //在同样的DataSource中,首先使用被标注的DataSource
public DataSource dataSource() {
DruidDataSource datasource = new DruidDataSource(); datasource.setUrl(this.dbUrl);
datasource.setUsername(username);
datasource.setPassword(password);
datasource.setDriverClassName(driverClassName); //configuration
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.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
try {
datasource.setFilters(filters);
} catch (SQLException e) {
logger.error("druid configuration initialization filter", e);
}
datasource.setConnectionProperties(connectionProperties); return datasource;
} @Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean reg = new ServletRegistrationBean();
reg.setServlet(new StatViewServlet());
reg.addUrlMappings("/druid/*");
reg.addInitParameter("allow", ""); //白名单
reg.addInitParameter("loginUsername","admin");//
reg.addInitParameter("loginPassword", "admin");
return reg;
} @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");
filterRegistrationBean.addInitParameter("principalCookieName","USER_COOKIE");
filterRegistrationBean.addInitParameter("principalSessionName","USER_SESSION");
filterRegistrationBean.addInitParameter("DruidWebStatFilter","/*");
return filterRegistrationBean;
}
}

四、监控

springboot系列(九)springboot使用druid数据源