Spring Boot使用和配置Druid - 快网idc优惠网

1、引入依赖包

<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.DruidDataSource

spring.datasource.url=jdbc:mysql://localhost:3306/xxxxx?characterEncoding=utf8&useSSL=true&verifyServerCertificate=false

spring.datasource.username=root

spring.datasource.password=xxxxx

spring.datasource.driver-class-name=com.mysql.jdbc.Driver

# 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 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

spring.jpa.database=mysql

spring.jpa.show-sql=true

spring.jpa.hibernate.ddl-auto=update

spring.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

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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;

@Configuration

public 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快网idc。

原文链接：http://www.jianshu.com/p/9c58c84e285a

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