druid介绍
http://www.oschina.net/p/druid
1.导入依赖包
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.18</version>
</dependency>
2.配置数据源
# 数据库访问配置
# 主数据源,默认的
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://
spring.datasource.username=
spring.datasource.password=
# 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.validationQuery=SELECT 1 FROM DUAL
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
3.注册servlet和过滤器监控
package com.wangnian;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.boot.context.embedded.FilterRegistrationBean;
import org.springframework.boot.context.embedded.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
/**
* Created by 王念 on 2016/4/11.
*/
@Configuration
public class DruidConfig {
@Bean
public ServletRegistrationBean druidServlet() {
ServletRegistrationBean reg = new ServletRegistrationBean();
reg.setServlet(new StatViewServlet());
reg.addUrlMappings("/druid/*");
//reg.addInitParameter("allow", "127.0.0.1");
//reg.addInitParameter("deny","");
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/*");
return filterRegistrationBean;
}
}
启动成功
访问:http://localhost:8080/druid/login.html即可
其他方式配置
http://blog.csdn.net/catoop/article/details/50925337
注意:使用注解servlet方式需要在主方法上加入 @ServletComponentScan 扫描
1.4.0需要配置数据源
@Bean
public DataSource druidDataSource(
@Value("${spring.datasource.driverClassName}") String driver,
@Value("${spring.datasource.url}") String url,
@Value("${spring.datasource.username}") String username,
@Value("${spring.datasource.password}") String password) {
DruidDataSource druidDataSource = new DruidDataSource();
druidDataSource.setDriverClassName(driver);
druidDataSource.setUrl(url);
druidDataSource.setUsername(username);
druidDataSource.setPassword(password);
try {
druidDataSource.setFilters("stat, wall");
} catch (SQLException e) {
e.printStackTrace();
}
return druidDataSource;
}
druid打印sql,可以看到连接池的运行过程
logging.level.druid.sql=debug