Using DruidStat for database monitoring in Java API development

In recent years, with the rapid development of Internet business, database monitoring has gradually become an essential skill for developers in the development process. Database monitoring can not only improve system performance, but also detect and deal with potential problems in a timely manner to ensure the stability and reliability of system operation. This article will introduce how to use DruidStat for database monitoring in Java API development.

DruidStat is a set of database connection pool and JDBC connection management components open sourced by Alibaba. It provides some monitoring data and can easily monitor various operations of the database. For example, you can monitor the number of database connections, the number of times SQL statements are executed, the time it takes to execute SQL statements, etc. in real time to optimize the performance of the database.

The steps to use DruidStat for database monitoring in Java API development are as follows:

1. Introduce Druid's dependent jar package

In Maven, we can Use DruidStat by introducing Alibaba's open source Druid dependency jar package. The specific dependency configuration is as follows:

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.1.10</version>
</dependency>

2. Configuring the Druid database connection pool

Before using the Druid database connection pool, you need to initialize and configure it. We need to manually configure the Druid database connection pool through code. The following is a typical Druid connection pool configuration:

public class DruidDataSourceFactory {
    public static DataSource createDataSource() {
        DruidDataSource dataSource = new DruidDataSource();
        dataSource.setUrl("jdbc:mysql://localhost:3306/test");
        dataSource.setUsername("root");
        dataSource.setPassword("password");
        return dataSource;
    }
}

In this code, we create a Druid data source object and set the database connection through the setUrl(), setUsername(), and setPassword() methods Details. Among them, URL is the access address of the database, Username and Password are the username and password of the database.

3. Configure DruidStat's monitoring filter

After the Druid database connection pool is initialized, we also need to configure DruidStat's monitoring filter to implement monitoring. We can use Servlet Filter or Spring AOP to configure DruidStat's monitoring filter. The following is a typical Servlet Filter monitoring filter configuration:

public class DruidStatFilter extends WebStatFilter {
    @Override
    public void init(FilterConfig config) throws ServletException {
        super.init(config);
        // 配置 DruidStat 监控统计
        DruidStatManagerFacade.getInstance().setExclusions("/static/*,*.js,*.gif,*.jpg,*.png,*.css,*.ico");
    }

    @Override
    public void destroy() {
        super.destroy();
        DruidStatManagerFacade.getInstance().setExclusions(null);
    }
}

In this code, we create a DruidStatFilter monitoring filter by inheriting the WebStatFilter class, and set some settings through the DruidStatManagerFacade object in the init() method Exclusion rules to exclude some static files and URLs that do not need to be monitored.

4. View monitoring data

After we complete the above steps, we can view the required monitoring data through some APIs provided by Druid. The following is a typical way to obtain monitoring data:

public class DruidStatMonitor {
    public static void main(String[] args) {
        // 获取监控数据
        List<SqlStat> sqlStatList = DruidStatManagerFacade.getInstance().getSqlStatDataList();
        // 遍历并打印监控数据
        for (SqlStat sqlStat : sqlStatList) {
            System.out.println("SQL: " + sqlStat.getSql());
            System.out.println("执行时间: " + sqlStat.getExecuteMillis());
            System.out.println("执行次数: " + sqlStat.getExecuteCount());
            // ... 其他监控数据
        }
    }
}

In this code, we obtain monitoring data by calling the getSqlStatDataList() method of DruidStatManagerFacade, and view the monitoring data through traversal.

Summary

Through the above introduction, we can find that using DruidStat for database monitoring is very simple and has good scalability and flexibility. In actual project development, we can follow the above steps to configure and use DruidStat to monitor the database.

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