1.原理实现介绍

本质来说使用连接池是为了节省创建、关闭数据库连接的资源消耗,从而提升访问的性能。底层还是JDBC的调用,jdbc访问多主mysql有提供loadbalace的形式:

  1. jdbc:mysql:loadbalance://[host1][:port],[host2][:port][,[host3][:port]]...[/[database]] »
  2. [?propertyName1=propertyValue1[&propertyName2=propertyValue2]...]

通过上面这种JDBC形式,即可访问多主mysql,但是实际成果中,如果不做任何参数设置,检测失效mysql连接时间非常长,从而降低了数据库访问时间,特加上了以下参数作为性能调优:

  1. roundRobinLoadBalance=true&failOverReadOnly=false&tcpRcvBuf=1024000&loadBalanceStrategy=bestResponseTime&loadBalanceBlacklistTimeout=300000&loadBalancePingTimeout=1000&selfDestructOnPingMaxOperations=200&queryTimeoutKillsConnection=true&loadBalanceValidateConnectionOnSwapServer=true&connectTimeout=1000

JDBC参数详解:

参数名 默认值 设置值 含义
roundRobinLoadBalance false true 采用权重轮循均衡算法
failOverReadOnly true false 自动重连成功后,连接不设为为只读
tcpRcvBuf 0 1024000 TCP接收缓冲区增大到1MB
loadBalanceStrategy random bestResponseTime 默认为“random”即随机路由请求,“bestResponseTime”策略负载均衡将请求路由到对上一个事务具有最佳响应时间的主机。
loadBalanceBlacklistTimeout 0 300000 如果某个节点请求时返回SQLException,那么此host将会被添加到黑名单中,在此后的timeout时间内下一次选择时将不会再被选中。
loadBalancePingTimeout 0 1000 负责均衡响应ping的超时时间
selfDestructOnPingMaxOperations 0 200 连接ping不通被关闭时报告阈值
queryTimeoutKillsConnection false true 查询超时关闭连接
loadBalanceValidateConnectionOnSwapServer false true 当在提交/回滚时交换到新的物理连接时,负载平衡连接显式检查连接处于活动状态
connectTimeout 0 1000 连接超时时间

2.项目配置

  • 引入druid相关的maven依赖

    1. <dependency>
    2. <groupId>log4j2</groupId>
    3. <artifactId>log4j2</artifactId>
    4. <version>1.2.17</version>
    5. </dependency>
    6. <!-- 阿里系的Druid依赖包 -->
    7. <dependency>
    8. <groupId>com.alibaba</groupId>
    9. <artifactId>druid</artifactId>
    10. <version>1.0.20</version>
    11. </dependency>
  • 在application.properties/application.yml中添加druid配置文件

    1. spring:
    2. thymeleaf:
    3. mode: html5
    4. encoding: utf-8
    5. suffix: .html
    6. cache: false
    7. # 驱动配置信息
    8. datasource:
    9. type: com.alibaba.druid.pool.DruidDataSource
    10. url: jdbc:mysql:loadbalance://192.168.1.105:3306,192.168.1.107:3306,ip3:3307/test?roundRobinLoadBalance=true&failOverReadOnly=false&tcpRcvBuf=1024000&loadBalanceStrategy=bestResponseTime&loadBalanceBlacklistTimeout=300000&loadBalancePingTimeout=1000&selfDestructOnPingMaxOperations=200&queryTimeoutKillsConnection=true&loadBalanceValidateConnectionOnSwapServer=true&connectTimeout=1000
    11. username: root
    12. password: unew2&2014
    13. driverClassName: com.mysql.jdbc.Driver
    14. # 连接池的配置信息
    15. # 初始化大小,最小,最大
    16. initialSize: 5
    17. minIdle: 5
    18. maxActive: 20
    19. # 配置获取连接等待超时的时间
    20. maxWait: 60000
    21. # 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
    22. timeBetweenEvictionRunsMillis: 60000
    23. # 配置一个连接在池中最小生存的时间,单位是毫秒
    24. minEvictableIdleTimeMillis: 300000
    25. validationQuery: SELECT 1 FROM DUAL
    26. testWhileIdle: true
    27. testOnBorrow: false
    28. testOnReturn: false
    29. # 打开PSCache,并且指定每个连接上PSCache的大小
    30. poolPreparedStatements: true
    31. maxPoolPreparedStatementPerConnectionSize: 20
    32. # 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
    33. filters: stat,wall,log4j2
    34. # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
    35. # connectionProperties: druid.stat.mergeSql: true
    36. druid.stat.slowSqlMillis: 5000
    37. logging:
    38. config: classpath:log4j2/log4j2.xml
  • 添加druidConfig.java作为配置生效文件,并添加druid监控页面 ```java package com.example.demo.configuration;

import com.alibaba.druid.pool.DruidDataSource; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; import org.springframework.boot.context.properties.ConfigurationProperties; 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 javax.sql.DataSource; import java.util.Arrays; import java.util.HashMap; import java.util.Map; @Configuration public class DruidConfig {

  1. // 将所有前缀为spring.datasource下的配置项都加载到DataSource中
  2. @ConfigurationProperties(prefix = "spring.datasource")
  3. @Bean
  4. public DataSource druidDataSource() {
  5. return new DruidDataSource();
  6. }
  7. //配置Druid的监控
  8. //1、配置一个管理后台的Servlet
  9. @Bean
  10. public ServletRegistrationBean statViewServlet(){
  11. ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
  12. Map<String,String> initParams = new HashMap<>();
  13. initParams.put("loginUsername","admin");
  14. initParams.put("loginPassword","123456");
  15. initParams.put("allow","");//默认就是允许所有访问
  16. initParams.put("deny","192.168.15.21");
  17. bean.setInitParameters(initParams);
  18. return bean;
  19. }
  20. //2、配置一个web监控的filter
  21. @Bean
  22. public FilterRegistrationBean webStatFilter(){
  23. FilterRegistrationBean bean = new FilterRegistrationBean();
  24. bean.setFilter(new WebStatFilter());
  25. Map<String,String> initParams = new HashMap<>();
  26. initParams.put("exclusions","*.js,*.css,/druid/*");
  27. bean.setInitParameters(initParams);
  28. bean.setUrlPatterns(Arrays.asList("/*"));
  29. return bean;
  30. }

}

  1. 此刻mybatis集成druid已经完成了,可以正常使用druid作为数据连接池去连接数据了。<br />访问http://localhost:8080/druid/login.html 可以查看druid监控页面。<br />参考资料:[https://dev.mysql.com/doc/connector-j/5.1/en/connector-j-reference-configuration-properties.html](https://dev.mysql.com/doc/connector-j/5.1/en/connector-j-reference-configuration-properties.html)<br />[https://dev.mysql.com/doc/connector-j/5.1/en/connector-j-usagenotes-j2ee-concepts-managing-load-balanced-connections.html](https://dev.mysql.com/doc/connector-j/5.1/en/connector-j-usagenotes-j2ee-concepts-managing-load-balanced-connections.html)
  2. 以上转自:[https://blog.csdn.net/weixin_30344795/article/details/97160475](https://blog.csdn.net/weixin_30344795/article/details/97160475)<br />已做部分修改适应自己项目。
  3. 下面是自己的<br />![image.png](https://cdn.nlark.com/yuque/0/2021/png/12678011/1616822404750-897a3b67-d87d-4c29-9cad-2a1d96dda9ef.png#align=left&display=inline&height=189&margin=%5Bobject%20Object%5D&name=image.png&originHeight=189&originWidth=295&size=162402&status=done&style=none&width=295)
  4. <a name="9Yat4"></a>
  5. ### 3.使用实例
  6. <a name="8VrFA"></a>
  7. #### 配置文件
  8. ```yaml
  9. spring:
  10. thymeleaf:
  11. encoding: utf-8
  12. suffix: .html
  13. cache: false
  14. # 驱动配置信息
  15. datasource:
  16. type: com.alibaba.druid.pool.DruidDataSource
  17. url: jdbc:mysql:loadbalance://192.168.1.105:3306,192.168.1.107:3306/test?roundRobinLoadBalance=true&failOverReadOnly=false&tcpRcvBuf=1024000&loadBalanceStrategy=bestResponseTime&loadBalanceBlacklistTimeout=300000&loadBalancePingTimeout=1000&selfDestructOnPingMaxOperations=200&queryTimeoutKillsConnection=true&loadBalanceValidateConnectionOnSwapServer=true&connectTimeout=1000&characterEncoding=UTF-8
  18. username: root
  19. password: 123456
  20. driverClassName: com.mysql.jdbc.Driver
  21. # 连接池的配置信息
  22. # 初始化大小,最小,最大
  23. initialSize: 5
  24. minIdle: 5
  25. maxActive: 20
  26. # 配置获取连接等待超时的时间
  27. maxWait: 60000
  28. # 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
  29. timeBetweenEvictionRunsMillis: 60000
  30. # 配置一个连接在池中最小生存的时间,单位是毫秒
  31. minEvictableIdleTimeMillis: 300000
  32. validationQuery: SELECT 1 FROM DUAL
  33. testWhileIdle: true
  34. testOnBorrow: false
  35. testOnReturn: false
  36. # 打开PSCache,并且指定每个连接上PSCache的大小
  37. poolPreparedStatements: true
  38. maxPoolPreparedStatementPerConnectionSize: 20
  39. # 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
  40. filters: stat,wall,log4j2
  41. # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
  42. # connectionProperties: druid.stat.mergeSql: true
  43. druid.stat.slowSqlMillis: 5000
  44. mybatis:
  45. mapper-locations: classpath:mapper/*.xml #注意:一定要对应mapper映射xml文件的所在路径
  46. configuration:
  47. #org.apache.ibatis.logging.stdout.StdOutImpl 控制台打印sql语句方便调试sql语句执行错误
  48. #org.apache.ibatis.logging.log4j2.Log4j2Impl:这个不在控制台打印查询结果,但是在log4j中打印
  49. log-impl: org.apache.ibatis.logging.log4j2.Log4j2Impl
  50. mapUnderscoreToCamelCase: true # 开启驼峰命名转换法
  51. logging:
  52. config: classpath:log4j2/log4j2.xml
  53. level:
  54. com.example.demo.model: DEBUG