SpringBoot2.0 基礎案例(07)：集成Druid連接池，配置監控界面

一、Druid連接池

1、druid簡介

Druid連接池是阿里巴巴開源的數據庫連接池項目。Druid連接池為監控而生，內置強大的監控功能，監控特性不影響性能。功能強大，能防SQL注入，內置Loging能診斷Hack應用行為。
Druid連接池是阿里巴巴內部唯一使用的連接池，在內部數據庫相關中間件TDDL/DRDS 都內置使用強依賴了Druid連接池，經過阿里內部數千上萬的系統大規模驗證，經過歷年雙十一超大規模并發驗證。

2、druid特點

1）穩定性特性，阿里巴巴的業務驗證
2）完備的監控信息，快速診斷系統的瓶頸
3）內置了WallFilter 提供防SQL注入功能

二、整合SpringBoot2.0框架

1、引入核心依賴

<!-- 數據庫依賴 -->
<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <version>5.1.21</version>
</dependency>
<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid-spring-boot-starter</artifactId>
    <version>1.1.13</version>
</dependency>
<!-- JDBC 依賴 -->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>

2、數據源配置文件

spring:
  application:
    # 應用名稱
    name: node07-boot-druid
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    druid:
      driverClassName: com.mysql.jdbc.Driver
      url: jdbc:mysql://localhost:3306/data_one?useUnicode=true&characterEncoding=UTF8&zeroDateTimeBehavior=convertToNull&useSSL=false
      username: root
      password: 123
      initial-size: 10
      max-active: 100
      min-idle: 10
      max-wait: 60000
      pool-prepared-statements: true
      max-pool-prepared-statement-per-connection-size: 20
      time-between-eviction-runs-millis: 60000
      min-evictable-idle-time-millis: 300000
      max-evictable-idle-time-millis: 60000
      validation-query: SELECT 1 FROM DUAL
      # validation-query-timeout: 5000
      test-on-borrow: false
      test-on-return: false
      test-while-idle: true
      connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
      #filters: #配置多個英文逗號分隔(統計，sql注入，log4j過濾)
      filters: stat,wall
      stat-view-servlet:
        enabled: true
        url-pattern: /druid/*

3、核心配置類

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
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.jdbc.core.JdbcTemplate;

/**
 * Druid數據庫連接池配置文件
 */
@Configuration
public class DruidConfig {
    private static final Logger logger = LoggerFactory.getLogger(DruidConfig.class);
    @Value("${spring.datasource.druid.url}")
    private String dbUrl;
    @Value("${spring.datasource.druid.username}")
    private String username;
    @Value("${spring.datasource.druid.password}")
    private String password;
    @Value("${spring.datasource.druid.driverClassName}")
    private String driverClassName;
    @Value("${spring.datasource.druid.initial-size}")
    private int initialSize;
    @Value("${spring.datasource.druid.max-active}")
    private int maxActive;
    @Value("${spring.datasource.druid.min-idle}")
    private int minIdle;
    @Value("${spring.datasource.druid.max-wait}")
    private int maxWait;
    @Value("${spring.datasource.druid.pool-prepared-statements}")
    private boolean poolPreparedStatements;
    @Value("${spring.datasource.druid.max-pool-prepared-statement-per-connection-size}")
    private int maxPoolPreparedStatementPerConnectionSize;
    @Value("${spring.datasource.druid.time-between-eviction-runs-millis}")
    private int timeBetweenEvictionRunsMillis;
    @Value("${spring.datasource.druid.min-evictable-idle-time-millis}")
    private int minEvictableIdleTimeMillis;
    @Value("${spring.datasource.druid.max-evictable-idle-time-millis}")
    private int maxEvictableIdleTimeMillis;
    @Value("${spring.datasource.druid.validation-query}")
    private String validationQuery;
    @Value("${spring.datasource.druid.test-while-idle}")
    private boolean testWhileIdle;
    @Value("${spring.datasource.druid.test-on-borrow}")
    private boolean testOnBorrow;
    @Value("${spring.datasource.druid.test-on-return}")
    private boolean testOnReturn;
    @Value("${spring.datasource.druid.filters}")
    private String filters;
    @Value("{spring.datasource.druid.connection-properties}")
    private String connectionProperties;
    /**
     * Druid 連接池配置
     */
    @Bean     //聲明其為Bean實例
    public DruidDataSource dataSource() {
        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setMaxEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        datasource.setPoolPreparedStatements(poolPreparedStatements);
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        try {
            datasource.setFilters(filters);
        } catch (Exception e) {
            logger.error("druid configuration initialization filter", e);
        }
        datasource.setConnectionProperties(connectionProperties);
        return datasource;
    }
    /**
     * JDBC操作配置
     */
    @Bean(name = "dataOneTemplate")
    public JdbcTemplate jdbcTemplate (@Autowired DruidDataSource dataSource){
        return new JdbcTemplate(dataSource) ;
    }

    /**
     * 配置 Druid 監控界面
     */
    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean srb =
                new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
        //設置控制臺管理用戶
        srb.addInitParameter("loginUsername","root");
        srb.addInitParameter("loginPassword","root");
        //是否可以重置數據
        srb.addInitParameter("resetEnable","false");
        return srb;
    }
    @Bean
    public FilterRegistrationBean statFilter(){
        //創建過濾器
        FilterRegistrationBean frb =
                new FilterRegistrationBean(new WebStatFilter());
        //設置過濾器過濾路徑
        frb.addUrlPatterns("/*");
        //忽略過濾的形式
        frb.addInitParameter("exclusions",
                "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return frb;
    }
}

4、簡單測試類

@RestController
public class DruidController {
    private static final Logger LOG = LoggerFactory.getLogger(DruidController.class);
    @Resource
    private JdbcTemplate jdbcTemplate ;
    @RequestMapping("/druidData")
    public String druidData (){
        String sql = "SELECT COUNT(1) FROM d_phone" ;
        Integer countOne = jdbcTemplate.queryForObject(sql,Integer.class) ;
        // countOne==2
        LOG.info("countOne=="+countOne);
        return "success" ;
    }
}

三、測試效果

完成一次數據請求后，訪問如下鏈接。

http://localhost:8007/druid
輸入配置的用戶名和密碼：
root root

1、Druid監控首頁

主要展示鏈接數據庫的基礎信息。

2、Druid監控數據源

連接池配置的各項詳細屬性，可以參考這里查看，無需再從網上查找。

3、Druid監控SQL執行

所有執行的SQL，都會在這里被監控到，且會有SQL執行的詳細計劃。

四、源代碼

GitHub地址：知了一笑
https://github.com/cicadasmile
碼云地址：知了一笑
https://gitee.com/cicadasmile