Flume自定义监控实现数据上报功能—Custom Reporting

其他 2019-06-11 03:03:11 阅读次数: 0
版权声明：本文为博主原创文章，未经博主允许不得转载。 https://blog.csdn.net/qq_35488412/article/details/88402523

 

1、flume监控背景

        保证日志采集系统flume进程的稳定和出现问题后能及时修复，需对flume进程进行监控。flume目前提供的几种数据监控类型： JMX Reporting、Ganglia Reporting、JSON Reporting、Custom Reporting等。

        本文通过Custom Reporting实现自定义数据上报，代码实现并不复杂，但是网上关于Custom Reporting实现细节、怎么调用flume数据监控接口的资料很少，所以特发表这篇文章以备大家不时之需。

2、功能

        flume各组件的指标监控数据 主动上报至公司监控平台Hubble3，通过在Hubble3上配置报警策略，flume进程数据传输量的突增或突减都会触发报警通知，方便开发人员及时发现并修复问题。

3、项目代码

         调用flume监控数据的核心代码：Map<String, Map<String, String>> metricsMap = JMXPollUtil.getAllMBeans(); 


        另外：Flume暂时应该没有提供单位时间内的各组件的数据传输量，所以采用一个数组来缓存最近12分钟的数据，从而计算出十分钟的流量，并上报至监控平台。

完整代码：

1、新建java项目，引入flume相关依赖。

maven项目的pom.xml

​
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.momo.game.data</groupId>
    <artifactId>custom-flume</artifactId>
    <version>1.6.0</version>
    <name>Custom Flume Kafka Sink</name>

    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.rat</groupId>
                <artifactId>apache-rat-plugin</artifactId>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-jar-plugin</artifactId>
                <executions>
                    <execution>
                        <goals>
                            <goal>test-jar</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <plugin>
            <artifactId>maven-assembly-plugin</artifactId>
            <configuration>
                <appendAssemblyId>false</appendAssemblyId>
                <descriptorRefs>
                    <descriptorRef>jar-with-dependencies</descriptorRef>
                </descriptorRefs>
            </configuration>
            <executions>
                <execution>
                    <id>make-assembly</id>
                    <phase>package</phase>
                    <goals>
                        <goal>assembly</goal>
                    </goals>
                </execution>
            </executions>
        </plugin>
        </plugins>

    </build>

    <dependencies>
        <dependency>
            <groupId>org.apache.flume</groupId>
            <artifactId>flume-ng-sdk</artifactId>
            <version>1.6.0</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.flume</groupId>
            <artifactId>flume-ng-core</artifactId>
            <version>1.6.0</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.flume</groupId>
            <artifactId>flume-ng-configuration</artifactId>
            <version>1.6.0</version>
            <scope>provided</scope>
        </dependency>

        <dependency>
            <groupId>org.slf4j</groupId>
            <artifactId>slf4j-api</artifactId>
            <version>1.6.1</version>
            <scope>provided</scope>
        </dependency>

        <!--  hubble3报警相关依赖-->
        <dependency>
            <groupId>com.immomo.hubble</groupId>
            <artifactId>hubble-client</artifactId>
            <version>3.0.0-SNAPSHOT</version>
        </dependency>
        <dependency>
            <groupId>com.immomo.env</groupId>
            <artifactId>momo-env</artifactId>
            <version>1.0.3-SNAPSHOT</version>
        </dependency>

        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.10</version>
            <scope>test</scope>
        </dependency>
    </dependencies>
</project>

2、HubbleMessageSend.java

说明：代码中将flume进程的监控数据重新组合格式化后发送给了监控平台，包括近十分钟数据传输量等。

package com.momo.game.data.utils;

import com.immomo.env.MomoEnv;
import com.immomo.hubble.client.HubbleClient;
import com.immomo.hubble.client.HubbleClientFactory;
import com.immomo.hubble.client.common.MonitorSource;
import com.immomo.hubble.client.monitor.GaugeMonitor;
import org.apache.flume.Context;
import org.apache.flume.instrumentation.MonitorService;
import org.apache.flume.instrumentation.util.JMXPollUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.net.InetAddress;
import java.net.UnknownHostException;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Map;

/**
 * @author jonathon
 * @date 2019-03-11
 * @desc flume自定义数据上报hubble3
 */
public class Hubble3Reporting implements MonitorService {
    private static final Logger logger = LoggerFactory.getLogger(Hubble3Reporting.class);
    public static String appKey;
    public static String processName;
    //自定义统计指标
    private static String customKey = "EventDrainSuccessCount";
    private static Double[] twelveArray = new Double[12];
    //agent每隔minsUnit分钟，传输成功的event数量minsEventsCount
    private Double minsEventsCount = 0D;
    private int minsUnit = 10;


    @Override
    public void start() {
        logger.info("自定义数据监控——开始执行！");

        //初始化数组
        for (int i = 0; i < twelveArray.length; i++) {
            twelveArray[i] = 0D;
        }

        while (true) {
            //发送flume报警
            HubbleMessageSend();
            try {
                //1分钟发送一次数据
                Thread.sleep(60 * 1000);
            } catch (InterruptedException e) {
                logger.error(e.toString());
            }
        }

    }

    @Override
    public void stop() {
        logger.info("自定义数据监控——执行结束！");
    }

    @Override
    public void configure(Context context) {
        logger.info("自定义数据监控——配置初始化！");

        String appKeyPath = System.getProperty("appkey_path");
        System.setProperty("momo.app.file", appKeyPath);
        logger.info("app.yaml文件位置：" + System.getProperty("momo.app.file"));

        appKey = MomoEnv.appKey();
        logger.info("Flume报警——appKey:" + appKey);

        processName = System.getProperty("flume_process_name");
        logger.info("flume进程名称：" + processName);

    }

    public void HubbleMessageSend() {
        try {
            String[] ipHost = getIpAndHost();
            HubbleClient business_client = HubbleClientFactory.getHubbleClientBySource(MonitorSource.BUSINESS);

            Map<String, Map<String, String>> metricsMap = JMXPollUtil.getAllMBeans();
            Map<String, String> tags = new HashMap<String, String>();
            Iterator iter = metricsMap.entrySet().iterator();
            while (iter.hasNext()) {
                Map.Entry entry = (Map.Entry) iter.next();
                Object key = entry.getKey();
                Map<String, String> val = (Map<String, String>) entry.getValue();
                Iterator valIter = val.entrySet().iterator();
                while (valIter.hasNext()) {
                    Map.Entry valEntry = (Map.Entry) valIter.next();
                    Object vKey = valEntry.getKey();
                    Double vValue = 0D;
                    try {
                        vValue = Double.parseDouble(valEntry.getValue().toString());
                        String hubAction = ("Flume_" + processName + "_" + ipHost[1]).replace(".", "_");
                        String hubIndicator = (key.toString() + "_" + vKey.toString()).replace(".", "_");
                        GaugeMonitor cMonitor = business_client.newGauge(hubAction, hubIndicator, tags);
                        cMonitor.set(vValue);
                        logger.info("此次hubble3数据上报完成!  action: " + hubAction + "  indicator: " + hubIndicator + "  tags: " + tags.toString() + "  value: " + vValue);
                        //自定义分钟统计
                        if (vKey.equals(customKey)) {
                            minStatistic(hubAction, hubIndicator, vValue);
                            GaugeMonitor cMonitor2 = business_client.newGauge(hubAction, "CUSTOM_" + hubIndicator, tags);
                            cMonitor2.set(minsEventsCount);
                            logger.info("此次hubble3数据上报完成!  action: " + hubAction + "  indicator: CUSTOM_" + hubIndicator + "  tags: " + tags.toString() + "  value: " + minsEventsCount);
                        }
                    } catch (Exception e) {
                        if (e.toString().contains("NumberFormatException")) {
                            logger.warn("数据类型转化异常：" + e.getMessage());
                        } else {
                            logger.error("数据上报出现异常：", e);
                        }
                    }
                }
            }
        } catch (Exception e) {
            logger.error("向hubble3发送数据时出错:", e);
        }
    }

    private Double minStatistic(String hubAction, String hubIndicator, Double vValue) {
        for (int i = twelveArray.length - 1; i > 0; i--) {
            twelveArray[i] = twelveArray[i - 1];
        }
        twelveArray[0] = vValue;
        minsEventsCount = vValue - twelveArray[minsUnit];
        return minsEventsCount;
    }

    public String[] getIpAndHost() {
        InetAddress addr = null;
        try {
            addr = InetAddress.getLocalHost();
        } catch (UnknownHostException e) {
            logger.error("获取ip和host出错:", e);
        }
        //获取本机ip
        String ip = addr.getHostAddress().toString();
        //获取本机计算机名称
        String hostName = addr.getHostName().toString();
        String[] ih = {ip, hostName};
        return ih;
    }

}

4、发布代码

  • 项目打包：mvn clean install -DskipTests
  • 打包后将Jar包上传到服务器flume文件夹中的lib目录下。
  • 启动Flume进程时新增参数：-Dflume.monitoring.type=com.momo.game.data.utils.Hubble3Reporting

参考：

Flume文档：http://flume.apache.org/releases/content/1.6.0/FlumeUserGuide.html

Flume Github源码：https://github.com/apache/flume（可参考其他几种数据监控的源代码示例）

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