Druid是阿里开源的一款数据库连接池,除了常规的连接池功能外,它还提供了强大的监控和扩展功能。这对没有做数据库监控的小项目有很大的吸引力。
下列步骤可以让你无脑式的在SpringBoot2.x中使用Druid。
1.Maven中的pom文件
- <dependency>
- <groupId>com.alibaba</groupId>
- <artifactId>druid</artifactId>
- <version>1.1.14</version>
- </dependency>
- <dependency>
- <groupId>log4j</groupId>
- <artifactId>log4j</artifactId>
- <version>1.2.17</version>
- </dependency>
使用 Spring Boot-2.x时,如果未引入log4j,在配置 Druid 时,会遇到Caused by: java.lang.ClassNotFoundException: org.apache.log4j.Priority的报错。因为Spring Boot默认使用的是log4j2。
2.SpringBoot 配置文件
下面是一个完整的yml文件的,其中使用mybatis作为数据库访问框架
- server:
- servlet:
- context-path: /
- session:
- timeout: 60m
- port: 8080
- spring:
- datasource:
- url: jdbc:mysql://127.0.0.1:9080/hospital?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
- username: root
- password: root
- # 环境 dev|test|pro
- profiles:
- active: dev
- driver-class-name: com.mysql.cj.jdbc.Driver
- ########################## druid配置 ##########################
- type: com.alibaba.druid.pool.DruidDataSource
- # 初始化大小,最小,最大
- initialSize: 5
- minIdle: 1
- maxActive: 20
- # 配置获取连接等待超时的时间
- 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
- timeBetweenEvictionRunsMillis: 60000
- # 配置一个连接在池中最小生存的时间,单位是毫秒
- minEvictableIdleTimeMillis: 300000
- # 校验SQL,Oracle配置 validationQuery=SELECT 1 FROM DUAL,如果不配validationQuery项,则下面三项配置无用
- validationQuery: SELECT 1 FROM DUAL
- testWhileIdle: true
- testOnBorrow: false
- testOnReturn: false
- # 打开PSCache,并且指定每个连接上PSCache的大小
- poolPreparedStatements: true
- 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
- filters: stat,wall,log4j
- # 通过connectProperties属性来打开mergeSql功能;慢SQL记录
- connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
- # 合并多个DruidDataSource的监控数据
- useGlobalDataSourceStat: true
- # Mybatis配置
- mybatis:
- mapperLocations: classpath:mapper/*.xml,classpath:mapper/extend/*.xml
- configuration:
- map-underscore-to-camel-case: true
- log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
3.配置Druid数据源实例
由于Druid暂时不在Spring Boot中的直接支持,故需要进行配置信息的定制:
SpringBoot中的配置信息无法再Druid中直接生效,需要在Spring容器中实现一个DataSource实例。
- import java.sql.SQLException;
- import javax.sql.DataSource;
- import org.apache.log4j.Logger;
- import org.springframework.beans.factory.annotation.Value;
- import org.springframework.context.annotation.Bean;
- import org.springframework.context.annotation.Configuration;
- import org.springframework.context.annotation.Primary;
- import com.alibaba.druid.pool.DruidDataSource;
- @Configuration
- public class DruidDBConfig {
- private Logger logger = Logger.getLogger(this.getClass()); //log4j日志
- @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(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);
- logger.error("druid configuration initialization filter", e);
- e.printStackTrace();
- }
- datasource.setConnectionProperties(connectionProperties);
- return datasource;
- }
- }
4.过滤器和Servlet
还需要实现一个过滤器和Servlet,用于访问统计页面。
过滤器
- import javax.servlet.annotation.WebFilter;
- import javax.servlet.annotation.WebInitParam;
- import com.alibaba.druid.support.http.WebStatFilter;
- @WebFilter(filterName="druidWebStatFilter",urlPatterns="/*",
- initParams={
- @WebInitParam(name="exclusions",value="*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*")//忽略资源
- }
- )
- public class DruidStatFilter extends WebStatFilter {
- }
Servlet
- import javax.servlet.annotation.WebInitParam;
- import javax.servlet.annotation.WebServlet;
- import com.alibaba.druid.support.http.StatViewServlet;
- @WebServlet(urlPatterns="/druid/*",
- initParams={
- @WebInitParam(name="allow",value="127.0.0.1,192.168.163.1"),// IP白名单(没有配置或者为空,则允许所有访问)
- @WebInitParam(name="deny",value="192.168.1.73"),// IP黑名单 (存在共同时,deny优先于allow)
- @WebInitParam(name="loginUsername",value="admin"),// 用户名
- @WebInitParam(name="loginPassword",value="admin"),// 密码
- @WebInitParam(name="resetEnable",value="false")// 禁用HTML页面上的“Reset All”功能
- })
- public class DruidStatViewServlet extends StatViewServlet {
- private static final long serialVersionUID = -2688872071445249539L;
- }
5.使用@ServletComponentScan注解,
使得刚才创建的Servlet,Filter能被访问,SpringBoot扫描并注册。
- @SpringBootApplication()
- @MapperScan("cn.china.mytestproject.dao")
- //添加servlet组件扫描,使得Spring能够扫描到我们编写的servlet和filter
- @ServletComponentScan
- public class MytestprojectApplication {
- public static void main(String[] args) {
- SpringApplication.run(MytestprojectApplication.class, args);
- }
- }
6.Dao层
接着Dao层代码的实现,可以使用mybatis,或者JdbcTemplate等。此处不举例。
7.运行
访问http://localhost:8080/druid/login.html地址即可打开登录页面,账号在之前的Servlet代码中。
至此完成。
要了解更多,访问:https://github.com/alibaba/druid
以上就是SpringBoot 中使用 Druid 数据库连接池的实现步骤的详细内容,更多关于SpringBoot 中使用 Druid 数据库连接池的资料请关注服务器之家其它相关文章!
原文链接:https://cloud.tencent.com/developer/article/1402862