在application.yml中，我們新增DataSource的配置，如下：

spring:
  datasource:
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://localhost:3306/xxxxxxxx?useUnicode=true&characterEncoding=utf8&autoReconnect=true&useSSL=true
    username: xxxxxx
    password: xxxxxx
    #--------------------------
    # 下面為連線池的補充設定，應用到上面所有資料來源中
    # 初始化大小，最小，最大
    tomcat:
      initial-size: 5
      minIdle: 1
      max-active: 50
      # 配置獲取連線等待超時的時間
      max-wait: 60000
      # 配置間隔多久才進行一次檢測，檢測需要關閉的空閒連線，單位是毫秒
      time-between-eviction-runs-millis: 60000
      # 配置一個連線在池中最小生存的時間，單位是毫秒
      min-evictable-idle-time-millis: 300000
      validation-query: SELECT 1 FROM DUAL
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false
      # 通過connectProperties屬性來開啟mergeSql功能；慢SQL記錄
      connection-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
    dbcp2:
      # 開啟PSCache，並且指定每個連線上PSCache的大小
      pool-prepared-statements: false
      #spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
    # 配置監控統計攔截的filters，去掉後監控介面sql無法統計，'wall'用於防火牆
    filters: stat,wall,log4j
    # 合併多個DruidDataSource的監控資料
    #spring.datasource.useGlobalDataSourceStat=true
 

    建立一個子模組ssm.core，放一些公共的東西，然後在下面新建一個config包，新建DruidConfig.java：

@Configuration
public class DruidConfig {

	@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.tomcat.initial-size}")
	private int initialSize;

	@Value("${spring.datasource.tomcat.minIdle}")
	private int minIdle;

	@Value("${spring.datasource.tomcat.max-active}")
	private int maxActive;

	@Value("${spring.datasource.tomcat.max-wait}")
	private int maxWait;

	@Value("${spring.datasource.tomcat.time-between-eviction-runs-millis}")
	private int timeBetweenEvictionRunsMillis;

	@Value("${spring.datasource.tomcat.min-evictable-idle-time-millis}")
	private int minEvictableIdleTimeMillis;

	@Value("${spring.datasource.tomcat.validation-query}")
	private String validationQuery;

	@Value("${spring.datasource.tomcat.test-while-idle}")
	private boolean testWhileIdle;

	@Value("${spring.datasource.tomcat.test-on-borrow}")
	private boolean testOnBorrow;

	@Value("${spring.datasource.tomcat.test-on-return}")
	private boolean testOnReturn;

	@Value("${spring.datasource.dbcp2.pool-prepared-statements}")
	private boolean poolPreparedStatements;

//	@Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
//	private int maxPoolPreparedStatementPerConnectionSize;

	@Value("${spring.datasource.filters}")
	private String filters;

	@Value("{spring.datasource.tomcat.connection-properties}")
	private String connectionProperties;

	@Bean
	@Primary
	public DataSource dataSource() {
		DruidDataSource datasource = new DruidDataSource();

		datasource.setUrl(this.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.setValidationQuery(validationQuery);
		datasource.setTestWhileIdle(testWhileIdle);
		datasource.setTestOnBorrow(testOnBorrow);
		datasource.setTestOnReturn(testOnReturn);
		datasource.setPoolPreparedStatements(poolPreparedStatements);
//		datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
		try {
			datasource.setFilters(filters);
		} catch (SQLException e) {

		}
		datasource.setConnectionProperties(connectionProperties);

		return datasource;
	}

	/**
     * 註冊一個StatViewServlet
     * @return
     */
    @Bean
    public ServletRegistrationBean druidStatViewServlet(){
        //org.springframework.boot.context.embedded.ServletRegistrationBean提供類的進行註冊.
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");

        //新增初始化引數：initParams
        //白名單：
        servletRegistrationBean.addInitParameter("allow","127.0.0.1");
        //IP黑名單 (存在共同時，deny優先於allow) : 如果滿足deny的話提示:Sorry, you are not permitted to view this page.
        servletRegistrationBean.addInitParameter("deny","192.168.1.73");
        //登入檢視資訊的賬號密碼.
        servletRegistrationBean.addInitParameter("loginUsername","admin");
        servletRegistrationBean.addInitParameter("loginPassword","123456");
        //是否能夠重置資料.
        servletRegistrationBean.addInitParameter("resetEnable","false");
        return servletRegistrationBean;
    }

	@Bean
	public StatFilter statFilter() {
		StatFilter statFilter = new StatFilter();
		statFilter.setLogSlowSql(true);
		statFilter.setMergeSql(true);
		statFilter.setSlowSqlMillis(1000);

		return statFilter;
	}

	@Bean
	public WallFilter wallFilter() {
		WallFilter wallFilter = new WallFilter();

		// 允許執行多條SQL
		WallConfig config = new WallConfig();
		config.setMultiStatementAllow(true);
		wallFilter.setConfig(config);

		return wallFilter;
	}

}
 

同樣，我們在ssm.center中新增ssm.core的依賴，並且在Application.java啟動類上新增@Import(DruidConfig.class)的註解，接著，我們為了測試，在TestController中新增如下內容：

    @Autowired
    private JdbcTemplate jdbcTemplate;

    @RequestMapping("hello")
    public List<Map<String, Object>> hello() {
        List<Map<String, Object>> list = jdbcTemplate.queryForList("SELECT user_name,password FROM et_user  ", new Object[]{});
        return list;
    }
 

最後，我們執行程式，開啟新頁面http://localhost:8080/druid 登入賬號密碼，為我們在DruidConfig中設定的賬號密碼，選中SQL監控，然後執行http://localhost:8080/hello，我們會發現在SQL監控中會出現我們執行一次sql的記錄，這樣就配置成功了