Druid是阿里開源的一款數(shù)據(jù)庫連接池，除了常規(guī)的連接池功能外，它還提供了強大的監(jiān)控和擴展功能。這對沒有做數(shù)據(jù)庫監(jiān)控的小項目有很大的吸引力。

下列步驟可以讓你無腦式的在SpringBoot2.x中使用Druid。

<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時，如果未引入log4j，在配置 Druid 時，會遇到Caused by: java.lang.ClassNotFoundException: org.apache.log4j.Priority的報錯。因為Spring Boot默認使用的是log4j2。

下面是一個完整的yml文件的，其中使用mybatis作為數(shù)據(jù)庫訪問框架

server: servlet: context-path: / session: timeout: 60m port: 8080spring: datasource: url: jdbc:mysql://127.0.0.1:9080/hospital?allowMultiQueries=true&useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull username: root password: root # 環(huán)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 # 配置獲取連接等待超時的時間 maxWait: 60000 # 配置間隔多久才進行一次檢測，檢測需要關(guān)閉的空閑連接，單位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一個連接在池中最小生存的時間，單位是毫秒 minEvictableIdleTimeMillis: 300000 # 校驗SQL，Oracle配置 validationQuery=SELECT 1 FROM DUAL，如果不配validationQuery項，則下面三項配置無用 validationQuery: SELECT 1 FROM DUAL testWhileIdle: true testOnBorrow: false testOnReturn: false # 打開PSCache，并且指定每個連接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 # 配置監(jiān)控統(tǒng)計攔截的filters，去掉后監(jiān)控界面sql無法統(tǒng)計，’wall’用于防火墻 filters: stat,wall,log4j # 通過connectProperties屬性來打開mergeSql功能；慢SQL記錄 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合并多個DruidDataSource的監(jiān)控數(shù)據(jù) 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.StdOutImpl3.配置Druid數(shù)據(jù)源實例

由于Druid暫時不在Spring Boot中的直接支持，故需要進行配置信息的定制：

SpringBoot中的配置信息無法再Druid中直接生效，需要在Spring容器中實現(xiàn)一個DataSource實例。

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;@Configurationpublic 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 // 聲明其為Bean實例@Primary // 在同樣的DataSource中，首先使用被標注的DataSourcepublic DataSource dataSource() {DruidDataSource datasource = new DruidDataSource();datasource.setUrl(dbUrl);datasource.setUsername(username);datasource.setPassword(password);datasource.setDriverClassName(driverClassName);// configurationdatasource.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.過濾器和Servlet

還需要實現(xiàn)一個過濾器和Servlet，用于訪問統(tǒng)計頁面。

過濾器

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/*')//忽略資源 })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白名單(沒有配置或者為空，則允許所有訪問) @WebInitParam(name='deny',value='192.168.1.73'),// IP黑名單 (存在共同時，deny優(yōu)先于allow) @WebInitParam(name='loginUsername',value='admin'),// 用戶名 @WebInitParam(name='loginPassword',value='admin'),// 密碼 @WebInitParam(name='resetEnable',value='false')// 禁用HTML頁面上的“Reset All”功能})public class DruidStatViewServlet extends StatViewServlet {private static final long serialVersionUID = -2688872071445249539L; }5.使用@ServletComponentScan注解，

使得剛才創(chuàng)建的Servlet，F(xiàn)ilter能被訪問，SpringBoot掃描并注冊。

@SpringBootApplication()@MapperScan('cn.china.mytestproject.dao')//添加servlet組件掃描，使得Spring能夠掃描到我們編寫的servlet和filter@ServletComponentScanpublic class MytestprojectApplication { public static void main(String[] args) { SpringApplication.run(MytestprojectApplication.class, args); } }6.Dao層

接著Dao層代碼的實現(xiàn)，可以使用mybatis，或者JdbcTemplate等。此處不舉例。

訪問http://localhost:8080/druid/login.html地址即可打開登錄頁面，賬號在之前的Servlet代碼中。

至此完成。

要了解更多，訪問：https://github.com/alibaba/druid

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