springboot系列(九)springboot使用druid数据源
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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