Spring Boot 使用Druid详解
Druid是Java语言中最好的数据库连接池,并且能够提供强大的监控和扩展功能,下面来说明如何在 SpringBoot 中配置使用Druid。 1. 在pom.xml中加载依赖 2. 在application.properties中加入数据源配置 3. 编写DruidConfiguration,通过@Bean注解的方式注入druid servlet和filter,以便提供监控页面访问 4. 浏览器访问 一、在pom.xml中加入依赖 <dependency> <groupId>com.alibaba</groupId> <artifactId>druid</artifactId> <version>1.0.18</version> </dependency> 二、在application.properties中加入数据源配置 ################## server ################################ server.port=8080 ################## datasource ################################ spring.datasource.url = jdbc:mysql://localhost:3306/spring spring.datasource.username = root spring.datasource.password = 123456 spring.datasource.driverClassName = com.mysql.jdbc.Driver #使用Druid数据源 spring.datasource.type=com.alibaba.druid.pool.DruidDataSource # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 spring.datasource.initialSize=5 spring.datasource.minIdle=5 spring.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=300000 spring.datasource.validationQuery=SELECT 1 FROMDUAL spring.datasource.testWhileIdle=true spring.datasource.testOnBorrow=false spring.datasource.testOnReturn=false # 打开PSCache,并且指定每个连接上PSCache的大小 spring.datasource.poolPreparedStatements=true spring.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=true ################ Java Persistence Api ########################### # Specify the DBMS spring.jpa.database = MYSQL # Show or not log for each sql query spring.jpa.show-sql = true # Hibernate ddl auto (create,create-drop,update) spring.jpa.hibernate.ddl-auto = update #[org.hibernate.cfg.ImprovedNamingStrategy #org.hibernate.cfg.DefaultNamingStrategy] spring.jpa.hibernate.naming-strategy = org.hibernate.cfg.ImprovedNamingStrategy # stripped before adding them to the entity manager) spring.jpa.properties.hibernate.dialect= org.hibernate.dialect.MySQL5Dialect #暂时不用redis,所以none,spring.session.store-type=reids spring.session.store-type=none 以上是我项目中的配置信息,大家只要关注datasource部分即可。 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.example.config; import java.sql.SQLException; import javax.sql.DataSource; 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 com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; /** * 配置druid数据源 * */ @Configuration public class DruidConfiguration { private Logger logger = LoggerFactory.getLogger(DruidConfiguration.class); @Bean public ServletRegistrationBean druidStatViewServlet() { ServletRegistrationBean registrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*"); registrationBean.addInitParameter("allow","127.0.0.1"); registrationBean.addInitParameter("deny","192.168.31.234"); registrationBean.addInitParameter("loginUsername","admin"); registrationBean.addInitParameter("loginPassword","123456"); registrationBean.addInitParameter("resetEnable","false"); return registrationBean; } @Bean public FilterRegistrationBean druidWebStatViewFilter() { FilterRegistrationBean registrationBean = new FilterRegistrationBean(new WebStatFilter()); registrationBean.addInitParameter("urlPatterns","/*"); registrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*"); return registrationBean; } @Bean public DataSource druidDataSource(@Value("${spring.datasource.url}") String url,@Value("${spring.datasource.driverClassName}") String driver,@Value("${spring.datasource.username}") String userName,@Value("${spring.datasource.password}") String password,@Value("${spring.datasource.maxActive}") int maxActive,@Value("${spring.datasource.filters}") String filters,@Value("${spring.datasource.initialSize}") int initialSize,@Value("${spring.datasource.minIdle}") int minIdle,@Value("${spring.datasource.maxWait}") int maxWait,@Value("${spring.datasource.timeBetweenEvictionRunsMillis}") int timeBetweenEvictionRunsMillis,@Value("${spring.datasource.minEvictableIdleTimeMillis}") int minEvictableIdleTimeMillis,@Value("${spring.datasource.validationQuery}") String validationQuery,@Value("${spring.datasource.testWhileIdle}") boolean testWhileIdle,@Value("${spring.datasource.testOnBorrow}") boolean testOnBorrow,@Value("${spring.datasource.testOnReturn}") boolean testOnReturn,@Value("${spring.datasource.poolPreparedStatements}") boolean poolPreparedStatements,@Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}") int maxPoolPreparedStatementPerConnectionSize,@Value("${spring.datasource.connectionProperties}") String connectionProperties,@Value("${spring.datasource.useGlobalDataSourceStat}") boolean useGlobalDataSourceStat ) { DruidDataSource dataSource = new DruidDataSource(); /*数据源主要配置*/ dataSource.setUrl(url); dataSource.setDriverClassName(driver); dataSource.setUsername(userName); dataSource.setPassword(password); /*数据源补充配置*/ dataSource.setMaxActive(maxActive); dataSource.setInitialSize(initialSize); dataSource.setMinIdle(minIdle); dataSource.setMaxWait(maxWait); dataSource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis); dataSource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis); dataSource.setValidationQuery(validationQuery); dataSource.setTestOnBorrow(testOnBorrow); dataSource.setTestOnReturn(testOnReturn); dataSource.setTestWhileIdle(testWhileIdle); dataSource.setPoolPreparedStatements(poolPreparedStatements); dataSource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize); dataSource.setConnectionProperties(connectionProperties); dataSource.setUseGlobalDataSourceStat(useGlobalDataSourceStat); try { dataSource.setFilters(filters); logger.info("Druid数据源初始化设置成功......"); } catch (SQLException e) { e.printStackTrace(); logger.info("Druid数据源filters设置失败......"); } return dataSource; } } 四、浏览器访问 在浏览器中输入http://localhost:8080/druid/index.html,首次访问需要使用账号和密码登录 在数据源一栏中,所有加"*"标识的都不能为空,,尤其是filter类名,否则会看不到SQL监控数据。 五、查看SQL监控 执行删除某条记录后,查看SQL监控 到这里,我们就把druid配置成功了。 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编程小技巧。 您可能感兴趣的文章:
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