1、引入依赖包

<!--druid--><dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.27</version></dependency>

2、配置application.properties

spring.datasource.type=com.alibaba.druid.pool.DruidDataSourcespring.datasource.url=jdbc:mysql://localhost:3306/xxxxx?characterEncoding=utf8&useSSL=true&verifyServerCertificate=falsespring.datasource.username=rootspring.datasource.password=xxxxxspring.datasource.driver-class-name=com.mysql.jdbc.Driver# 初始化大小，最小，最大spring.datasource.initialSize=5spring.datasource.minIdle=5spring.datasource.maxActive=20# 配置获取连接等待超时的时间spring.datasource.maxWait=60000# 配置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spring.datasource.timeBetweenEvictionRunsMillis=60000# 配置一个连接在池中最小生存的时间，单位是毫秒spring.datasource.minEvictableIdleTimeMillis=300000spring.datasource.validationQuery=SELECT 1 FROM DUALspring.datasource.testWhileIdle=truespring.datasource.testOnBorrow=falsespring.datasource.testOnReturn=false# 打开PSCache，并且指定每个连接上PSCache的大小spring.datasource.poolPreparedStatements=truespring.datasource.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spring.datasource.filters=stat,wall,log4j# 通过connectProperties属性来打开mergeSql功能；慢SQL记录spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000# 合并多个DruidDataSource的监控数据#spring.datasource.useGlobalDataSourceStat=truespring.jpa.database=mysqlspring.jpa.show-sql=truespring.jpa.hibernate.ddl-auto=updatespring.jpa.properties.hibernate.dialect = org.hibernate.dialect.MySQL5Dialect#懒加载配置spring.jpa.properties.hibernate.enable_lazy_load_no_trans=true

3、目前Spring Boot中默认支持的连接池有dbcp,dbcp2, tomcat, hikari三种连接池。 由于Druid暂时不在Spring Bootz中的直接支持，故需要进行配置信息的定制

import com.alibaba.druid.pool.DruidDataSource;import com.alibaba.druid.support.http.StatViewServlet;import com.alibaba.druid.support.http.WebStatFilter;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;@Configurationpublic class DruidConfiguration { @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.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) { System.err.println("druid configuration initialization filter: "+ e); } datasource.setConnectionProperties(connectionProperties); return datasource; } @Bean public ServletRegistrationBean statViewServle(){ ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*"); // IP白名单 servletRegistrationBean.addInitParameter("allow","192.168.1.218,127.0.0.1"); // IP黑名单(共同存在时，deny优先于allow) servletRegistrationBean.addInitParameter("deny","192.168.1.100"); //控制台管理用户 servletRegistrationBean.addInitParameter("loginUsername","druid"); servletRegistrationBean.addInitParameter("loginPassword","761341"); //是否能够重置数据 servletRegistrationBean.addInitParameter("resetEnable","false"); return servletRegistrationBean; } @Bean public FilterRegistrationBean statFilter(){ FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter()); //添加过滤规则 filterRegistrationBean.addUrlPatterns("/*"); //忽略过滤的格式 filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"); return filterRegistrationBean; }}

4、浏览器输入http://localhost:8081/druid/index.html

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。