Druid是阿里巴巴开源平台上的一个项目,整个项目由数据库连接池、插件框架和SQL解析器组成。

添加Druid数据源

要使用Druid数据源,我们需要在 application.properties 下添加配置信息

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#数据库访问配置
#mysql
#spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
#spring.datasource.driver-class-name=com.mysql.jdbc.Driver
#spring.datasource.url=jdbc:mysql://localhost:3306/blog
#oracle
spring.datasource.driverClassName=oracle.jdbc.driver.OracleDriver
spring.datasource.url=jdbc:oracle:thin:@127.0.0.1:1521:orcl
spring.datasource.username=system
spring.datasource.password=123456

#连接池配置
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
#连接等待超时时间
spring.datasource.maxWait=60000
#配置隔多久进行一次检测(检测可以关闭的空闲连接)
spring.datasource.timeBetweenEvictionRunsMillis=60000
#配置连接在池中的最小生存时间
spring.datasource.minEvictableIdleTimeMillis=300000
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

上面提供了mysql和oracle两种数据库驱动的配置,由于maven中心仓库不提供oracle驱动,需要到oracle官网自行下载你自己版本需要的oracle数据库驱动,再安装到本地仓库。我这里用的eclipse自带的maven,安装oracle数据库驱动到本地仓库是直接建个文件夹丢进去重命下名的,简单粗暴。

参考:jar包放com/oracle/ojdbc6/10.2.0.1.0 文件夹下,命名ojdbc6-10.2.0.1.0.jar

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<dependency>
<groupId>com.oracle</groupId>
<artifactId>ojdbc6</artifactId>
<version>${ojdbc6.version}</version>
</dependency>

此外,在本版本(1.5.2)的Spring Boot 中,对于上面Druid连接池的配置都不支持,意味着这些配置属性不会生效,所以,需要些一个配置类来读取这些配置并设置到数据源中去

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package com.fyft.wx.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.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import com.alibaba.druid.pool.DruidDataSource;

/**
*<p>Title: DruidDataSourceConfig.java</p>
*<p>Description: 数据源属性配置</p>
*<p>CreateDate: 2017年5月18日</p>
*@author shen
*@version v1.0
*/
@Configuration
@Primary //在同样的DataSource中,首先使用被标注的DataSource
public class DruidDataSourceConfig extends DataSourceProperties{

private Logger logger = LoggerFactory.getLogger(DruidDataSourceConfig.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
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;
}
}

本段配置参考自 http://blog.csdn.net/blueheart20/article/details/52384032
其中 @Primary 注解需要放在类上,不然本类配置还是不会覆盖默认的数据源配置,原作者是放在 public DataSource dataSource() 方法上,会报存在两个配置的错误,估计是Spring Boot版本的差异问题。

配置监控统计功能

新建一个配置类

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package com.fyft.wx.config;

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.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;

/**
*<p>Title: DruidConfiguration.java</p>
*<p>Description: Druid监控配置</p>
*<p>CreateDate: 2017年5月3日</p>
*@author shen
*@version v1.0
*/

@Configuration
public class DruidMonitorConfig {

/**
* 注册ServletRegistrationBean
* @return
*/
@Bean
public ServletRegistrationBean registrationBean() {
ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
/** 初始化参数配置,initParams**/
//白名单
bean.addInitParameter("allow", "127.0.0.1");//多个ip逗号隔开
//IP黑名单 (存在共同时,deny优先于allow) : 如果满足deny的话提示:Sorry, you are not permitted to view this page.
//bean.addInitParameter("deny", "192.168.1.73");
//登录查看信息的账号密码.
bean.addInitParameter("loginUsername", "admin");
bean.addInitParameter("loginPassword", "123456");
//是否能够重置数据.
bean.addInitParameter("resetEnable", "false");
return bean;
}

/**
* 注册FilterRegistrationBean
* @return
*/
@Bean
public FilterRegistrationBean druidStatFilter() {
FilterRegistrationBean bean = new FilterRegistrationBean(new WebStatFilter());
//添加过滤规则.
bean.addUrlPatterns("/*");
//添加不需要忽略的格式信息.
bean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return bean;
}

}

启动项目后访问 ip:端口/druid 输入配置类设置的账号密码进入监控后台。我们先执行一个数据库操作,可以在sql监控选项卡看到执行的sql
这里写图片描述

查看数据源选项卡可以看到配置连接池参数也都生效了
这里写图片描述