1、引入依赖包
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<!--druid-->
< dependency >
< groupId >com.alibaba</ groupId >
< artifactId >druid</ artifactId >
< version >1.0.27</ version >
</ dependency >
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2、配置application.properties
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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
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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;
}
}
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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服务器之家。
原文链接:http://www.jianshu.com/p/9c58c84e285a