Java Kafka 消费积压监控的示例代码

后端代码:

Monitor.java代码:

package com.suncreate.kafkaConsumerMonitor.service;

import com.suncreate.kafkaConsumerMonitor.model.ConsumerInfo;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.common.PartitionInfo;
import org.apache.kafka.common.TopicPartition;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import java.text.DecimalFormat;
import java.text.SimpleDateFormat;
import java.util.*;

/**
 * kafka消费监控
 *
 * @author suxiang
 */
public class Monitor {
    private static final Logger log = LoggerFactory.getLogger(Monitor.class);

    private String servers;

    private String topic;

    private String groupId;

    private long lastTime;

    private long lastTotalLag = 0L;

    private long lastLogSize = 0L;

    private long lastOffset = 0L;

    private double lastRatio = 0;

    private long speedLogSize = 0L;

    private long speedOffset = 0L;

    private String time;

    private List list;

    private final SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");

    public String getTime() {
        return time;
    }

    public void setTime(String time) {
        this.time = time;
    }

    public long getLastTotalLag() {
        return lastTotalLag;
    }

    public double getLastRatio() {
        return lastRatio;
    }

    public String getTopic() {
        return topic;
    }

    public String getGroupId() {
        return groupId;
    }

    public long getSpeedLogSize() {
        return speedLogSize;
    }

    public long getSpeedOffset() {
        return speedOffset;
    }

    public List getList() {
        return list;
    }

    public void setList(List list) {
        this.list = list;
    }

    private KafkaConsumer consumer;

    private List topicPartitionList;

    private final DecimalFormat decimalFormat = new DecimalFormat("0.00");

    public Monitor(String servers, String topic, String groupId) {
        this.servers = servers;
        this.topic = topic;
        this.groupId = groupId;

        this.list = new ArrayList<>();

        //消费者
        Properties properties = new Properties();
        properties.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, this.servers);
        properties.put(ConsumerConfig.GROUP_ID_CONFIG, this.groupId);
        properties.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        properties.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);

        consumer = new KafkaConsumer(properties);

        //查询 topic partitions
        topicPartitionList = new ArrayList<>();
        List partitionInfoList = consumer.partitionsFor(topic);
        for (PartitionInfo partitionInfo : partitionInfoList) {
            TopicPartition topicPartition = new TopicPartition(partitionInfo.topic(), partitionInfo.partition());
            topicPartitionList.add(topicPartition);
        }
    }

    public void monitor(boolean addToList) {
        try {
            long startTime = System.currentTimeMillis();

            //查询 log size
            Map endOffsetMap = new HashMap<>();
            Map endOffsets = consumer.endOffsets(topicPartitionList);
            for (TopicPartition partitionInfo : endOffsets.keySet()) {
                endOffsetMap.put(partitionInfo.partition(), endOffsets.get(partitionInfo));
            }

            //查询消费 offset
            Map commitOffsetMap = new HashMap<>();
            for (TopicPartition topicAndPartition : topicPartitionList) {
                OffsetAndMetadata committed = consumer.committed(topicAndPartition);
                commitOffsetMap.put(topicAndPartition.partition(), committed.offset());
            }

            long endTime = System.currentTimeMillis();
            log.info("查询logSize和offset耗时:" + (new DecimalFormat("0.000")).format((endTime - startTime) / 1000.0) + " 秒");
            startTime = System.currentTimeMillis();

            //累加lag
            long totalLag = 0L;
            long logSize = 0L;
            long offset = 0L;
            if (endOffsetMap.size() == commitOffsetMap.size()) {
                for (Integer partition : endOffsetMap.keySet()) {
                    long endOffset = endOffsetMap.get(partition);
                    long commitOffset = commitOffsetMap.get(partition);
                    long diffOffset = endOffset - commitOffset;
                    totalLag += diffOffset;
                    logSize += endOffset;
                    offset += commitOffset;
                }

            } else {
                log.error("Topic:" + topic + "  consumer:" + consumer + "  topic partitions lost");
            }

            log.info("Topic:" + topic + "  logSize:" + logSize + "  offset:" + offset + "  totalLag:" + totalLag);

            if (lastTime > 0) {
                if (System.currentTimeMillis() - lastTime > 0) {
                    speedLogSize = (long) ((logSize - lastLogSize) / ((System.currentTimeMillis() - lastTime) / 1000.0));
                    speedOffset = (long) ((offset - lastOffset) / ((System.currentTimeMillis() - lastTime) / 1000.0));
                }

                if (speedLogSize > 0) {
                    String strRatio = decimalFormat.format(speedOffset * 100 / (speedLogSize * 1.0));
                    lastRatio = Double.parseDouble(strRatio);
                    log.info("Topic:" + topic + "  speedLogSize:" + speedLogSize + "  speedOffset:" + speedOffset + "  百分比:" + strRatio + "%");
                }
            }

            lastTime = System.currentTimeMillis();
            lastTotalLag = totalLag;
            lastLogSize = logSize;
            lastOffset = offset;

            endTime = System.currentTimeMillis();
            log.info("计算耗时:" + (new DecimalFormat("0.000")).format((endTime - startTime) / 1000.0) + " 秒");

            if (addToList) {
                this.setTime(simpleDateFormat.format(new Date()));
                this.list.add(new ConsumerInfo(this.getTopic(), this.getGroupId(), this.getLastTotalLag(), this.getLastRatio(), this.getSpeedLogSize(), this.getSpeedOffset(), this.getTime()));
                if (this.list.size() > 500) {
                    this.list.remove(0);
                }
            }

        } catch (Exception e) {
            log.error("Monitor error", e);
        }
    }

}

MonitorService.java代码:

package com.suncreate.kafkaConsumerMonitor.service;

import com.suncreate.kafkaConsumerMonitor.model.ConsumerInfo;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Service;

import javax.annotation.PostConstruct;
import java.util.*;

@Service
public class MonitorService {
    private static final Logger log = LoggerFactory.getLogger(MonitorService.class);

    @Value("${kafka.consumer.servers}")
    private String servers;

    private Monitor monitor;

    private List monitorList;

    @PostConstruct
    private void Init() {
        monitorList = new ArrayList<>();

        monitorList.add(new Monitor(servers, "wifiData", "wifi-kafka-hbase"));
        monitorList.add(new Monitor(servers, "KK_PASS_INFO_TYCC", "EXTRACT-SAMPLE"));
        monitorList.add(new Monitor(servers, "KK_PASS_INFO_TYCC", "dblrecog-upload2vcn"));
        monitorList.add(new Monitor(servers, "KK_PASS_INFO_TYCC_FILTER", "yisa20210521000001"));
        monitorList.add(new Monitor(servers, "KK_PASS_INFO_TYCC_FILTER", "kafka-filter-check-19"));
        monitorList.add(new Monitor(servers, "motorVehicle", "unifiedstorage-downloader"));
        monitorList.add(new Monitor(servers, "motorVehicle", "full-vehicle-data-storage-kafka2ch"));
        monitorList.add(new Monitor(servers, "motorVehicle", "vehicle_store"));
        monitorList.add(new Monitor(servers, "motorVehicle", "vcn-sk-upload-luyang"));
        monitorList.add(new Monitor(servers, "motorVehicle", "vcn-sk-upload-yaohai"));
        monitorList.add(new Monitor(servers, "motorVehicle", "vcn-sk-upload-baohe"));
        monitorList.add(new Monitor(servers, "peopleFace", "kafka-filter-check-19"));
    }

    public void monitorOnce(boolean addToList) {
        for (Monitor monitor : monitorList) {
            monitor.monitor(addToList);
        }
    }

    public List getConsumerList() {
        List list = new ArrayList<>();

        for (Monitor monitor : monitorList) {
            list.add(new ConsumerInfo(monitor.getTopic(), monitor.getGroupId(), monitor.getLastTotalLag(), monitor.getLastRatio(), monitor.getSpeedLogSize(), monitor.getSpeedOffset(), monitor.getTime()));
        }

        return list;
    }

    public List getDetails(String topic, String groupId) {
        for (Monitor monitor : monitorList) {
            if (monitor.getTopic().equals(topic) && monitor.getGroupId().equals(groupId)) {
                return monitor.getList();
            }
        }
        return new ArrayList<>();
    }

}

MonitorConfig.java代码:

package com.suncreate.kafkaConsumerMonitor.task;

import com.suncreate.kafkaConsumerMonitor.service.MonitorService;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableScheduling;
import org.springframework.scheduling.annotation.SchedulingConfigurer;
import org.springframework.scheduling.config.ScheduledTaskRegistrar;
import org.springframework.scheduling.support.CronTrigger;

import java.text.SimpleDateFormat;

@Configuration
@EnableScheduling
public class MonitorConfig implements SchedulingConfigurer {
    private static final Logger logger = LoggerFactory.getLogger(MonitorConfig.class);

    private String cronExpression = "0 */3 * * * ?";

    //private String cronExpression = "*/20 * * * * ?";

    private final SimpleDateFormat simpleDateFormat = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");

    @Autowired
    private MonitorService monitorService;

    @Override
    public void configureTasks(ScheduledTaskRegistrar taskRegistrar) {
        taskRegistrar.addTriggerTask(() -> {

            monitorService.monitorOnce(true);

        }, triggerContext -> new CronTrigger(cronExpression).nextExecutionTime(triggerContext));
    }
}

MonitorController.java代码:

package com.suncreate.kafkaConsumerMonitor.controller;

import com.suncreate.kafkaConsumerMonitor.model.ConsumerInfo;
import com.suncreate.kafkaConsumerMonitor.model.LayuiData;
import com.suncreate.kafkaConsumerMonitor.service.MonitorService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.List;

@RestController
@RequestMapping("/monitor")
public class MonitorController {

    @Autowired
    private MonitorService monitorService;

    @GetMapping("/getConsumers")
    public LayuiData getConsumers() {

        List list = monitorService.getConsumerList();

        LayuiData data = new LayuiData(list);
        return data;
    }

    @GetMapping("/monitorOnce")
    public void monitorOnce() {
        monitorService.monitorOnce(false);
    }

    @GetMapping("/getDetails")
    public LayuiData getDetails(String topic, String groupId) {

        List list = monitorService.getDetails(topic, groupId);

        LayuiData data = new LayuiData(list);
        return data;
    }
}

pom.xml文件(有些东西没用到或者备用,没有删):



    4.0.0
    
        org.springframework.boot
        spring-boot-starter-parent
        2.1.6.RELEASE
         
    
    com.suncreate
    kafka-consumer-monitor
    1.0
    kafka-consumer-monitor
    Kafka消费积压监控预警

    
        1.8
        6.1.4
    

    
        
            org.projectlombok
            lombok
            1.18.12
        
        
            com.alibaba
            fastjson
            1.2.54
        
        
            org.springframework.boot
            spring-boot-starter-web
        
        
            org.springframework.boot
            spring-boot-starter-test
            test
        
        
            org.springframework.kafka
            spring-kafka-test
            test
        
        
            com.google.code.gson
            gson
            2.8.0
        
        
            org.postgresql
            postgresql
            runtime
        
        
            org.springframework.boot
            spring-boot-starter-jdbc
        

        
            org.elasticsearch.client
            elasticsearch-rest-high-level-client
            6.1.4
        

        
            com.oracle
            ojdbc6
            11.1.0.7.0
        

        
            org.apache.kafka
            kafka_2.11
            0.11.0.1
        
        
            org.apache.kafka
            kafka-clients
            0.11.0.1
        

    

    
        
            
                org.springframework.boot
                spring-boot-maven-plugin
            
            
                org.apache.maven.plugins
                maven-compiler-plugin
                
                    8
                    8
                
            
        
    

前端使用了 Layui 和 ECharts 展示表格和图表

index.css代码:

.div-title {
    font-size: 18px;
    margin-top: 10px;
    margin-left: 10px;
}

.div-right {
    text-align: right;
}

.span-red {
    color: #ff0000;
}

index.html代码(展示topic、消费者组Consumer GroupId、Total Lag、Kafka数据生产速度、Kafka数据消费速度等):




    
    Title
    
    
    
    



Kafka 监控

detail.html代码(展示单个消费者组的Total Lag、生产速度、消费速度以及Total Lag趋势图):




    
    Title
    
    
    
    
    



明细

效果图:

消费者组列表:

Java Kafka 消费积压监控的示例代码_第1张图片

消费者组明细:

Java Kafka 消费积压监控的示例代码_第2张图片

到此这篇关于Java Kafka 消费积压监控的文章就介绍到这了,更多相关Java Kafka 消费监控内容请搜索脚本之家以前的文章或继续浏览下面的相关文章希望大家以后多多支持脚本之家!

你可能感兴趣的:(Java Kafka 消费积压监控的示例代码)