SpringCloud+Druid(数据库连接池)

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。

Druid是一个用于大数据实时查询和分析的高容错、高性能开源分布式系统，旨在快速处理大规模的数据，并能够实现快速查询和分析。尤其是当发生代码部署、机器故障以及其他产品系统遇到宕机等情况时，Druid仍能够保持100%正常运行。创建Druid的最初意图主要是为了解决查询延迟问题，当时试图使用Hadoop来实现交互式查询分析，但是很难满足实时分析的需要。而Druid提供了以交互方式访问数据的能力，并权衡了查询的灵活性和性能而采取了特殊的存储格式。

来集成到项目中去吧

Maven

        
            com.alibaba
            druid-spring-boot-starter
            1.1.0
        

application.xml配置文件

## 数据源配置
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://localhost:3306/zuoqing?serverTimezone=UTC&characterEncoding=utf8&useUnicode=true&useSSL=false
spring.datasource.username=root
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.jdbc.Driver

## Mybatis 配置（持久层框架自己选择）
mybatis.typeAliasesPackage=com.xiaobudiankeji.base.entity
mybatis.mapperLocations=classpath*:mapper/*.xml

#durid登陆账号密码
loginUsername=root
loginPassword=123456
# 下面为连接池的补充设置，应用到上面所有数据源中
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置获取连接等待超时的时间
spring.datasource.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
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROM DUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 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,防止sql注入
spring.datasource.filters=stat,wall,log4j
spring.datasource.logSlowSql=true

#http://localhost:8765/druid/sql.html  访问这个页面

DruidConfig.java Java code

/**
 * Created by gaomin on 2017/12/1.
 */
@Configuration
public class DruidConfig {

    private Logger logger = LoggerFactory.getLogger(DruidConfig.class);

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

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

    @Value("${loginUsername}")
    private String loginUsername;

    @Value("${loginPassword}")
    private String loginPassword;

    @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.filters}")
    private String filters;

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

    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean reg = new ServletRegistrationBean();
        reg.setServlet(new StatViewServlet());
        reg.addUrlMappings("/druid/*");
        reg.addInitParameter("loginUsername", loginUsername);
        reg.addInitParameter("loginPassword", loginPassword);
        reg.addInitParameter("logSlowSql", logSlowSql);
        return reg;
    }

    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
        filterRegistrationBean.setFilter(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
        filterRegistrationBean.addInitParameter("profileEnable", "true");
        return filterRegistrationBean;
    }

    @Bean
    public DataSource druidDataSource() {
        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.setDbType(type);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("druid configuration initialization filter", e);
        }
        return datasource;
    }

}

运行你的项目就可以访问http://localhost:8765/druid/sql.html (端口号)这个页面,可以查看sql执行时间,接口请求时间,超级多有用的信息,毕竟是阿里巴巴的开源项目,能不强大吗?