Druid数据源的使用

1 Druid数据源简介

　　Druid是Java语言中最好的数据库连接池。Druid能够提供强大的监控和扩展功能。通过访问http://localhost:8080(自己的端口)/druid/ 可以查看监控面板

2 在application.yml文件中添加配置

　　

spring:
  application:
    name: eureka-consumer
  datasource:
   druid:
      username: root
      password: 12345
      driver-class-name: com.mysql.jdbc.Driver
      url: jdbc:mysql://localhost:3306/test
      initialSize: 1
      minIdle: 1
      maxActive: 5
      maxWait: 60000
      timeBetweenEvictionRunsMillis: 60000
      minEvictableIdleTimeMillis: 300000
      validationQuery: SELECT 1 FROM DUAL
      testWhileIdle: true
      testOnBorrow: false
      testOnReturn: false
      poolPreparedStatements: true
      maxPoolPreparedStatementPerConnectionSize: 20
#      filters: stat,wall,log4j
      connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

　　2 Druid配置（java文件版）（可选，不做也可运行，暂时没有搞清楚关系，日后更新）

/*@Configurable
@Primary*//*

public class DruidConfig {

    private Logger logger = LoggerFactory.getLogger(this.getClass());

    @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
    @Primary*//*

    public DataSource dataSource(){

        DruidDataSource datasource = new DruidDataSource();
        datasource.setUrl(this.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.info("druid configuration initialization filter", e);
        }

        datasource.setConnectionProperties(connectionProperties);

        return datasource;
    }

    @Bean
    public ServletRegistrationBean statViewServlet(){
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet());
        servletRegistrationBean.addUrlMappings("/druid/*");
        servletRegistrationBean.addInitParameter("allow","127.0.0.1");  //设置ip白名单
        servletRegistrationBean.addInitParameter("deny","192.168.0.19");//设置ip黑名单，优先级高于白名单
        //设置控制台管理用户
        servletRegistrationBean.addInitParameter("loginUsername","root");
        servletRegistrationBean.addInitParameter("loginPassword","root");
        //是否可以重置数据
        servletRegistrationBean.addInitParameter("resetEnable","false");
        return servletRegistrationBean;
    }

    @Bean
    public FilterRegistrationBean statFilter(){
        //创建过滤器
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        //设置过滤器过滤路径
        filterRegistrationBean.addUrlPatterns("/*");
        //忽略过滤的形式
        filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }
}

3 在主类上引用配置类(选做)

@Import({DruidDataSource.class})

4 pom.xml中添加相关依赖

 <!--整合druid数据源-->
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid-spring-boot-starter</artifactId>
            <version>1.1.9</version>
        </dependency>