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社区首页 >专栏 >Kafka之消费者模式(六)

Kafka之消费者模式(六)

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无涯WuYa
发布于 2021-05-31 08:08:23
发布于 2021-05-31 08:08:23
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文章被收录于专栏：Python自动化测试Python自动化测试
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前面系统的介绍了Kafka的生产者模式以及常用命令的操作，和它的监控的信息查看。其实不管是在协议层的维度，还是在MQ的维度，它的模式都是生产者与消费者的模式，本质上可以理解为拿到数据(可能来自第三方)，进行生产后，最后对这些数据进行消费。如果生产者大批量的生产数据，消费者可能就会出现数据的积压以及最终导致堵塞，在Kafka的系统里面，面对这样的情况，通常可以参加多个消费者的程序来保持水平的扩展，从而解决积压导致堵塞的问题。

在Kafka的系统里面，一个消费者组是可以包含多个消费者的，消费者组的名字具有唯一性的特点，消费者组与消费者的关系具体如下所示：

在Kafka的系统中，主要提供了kafka-console-consumer.sh的脚本来查看生产者的的消费信息，命令的方式具体为：

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kafka-console-consumer.sh --bootstrap-server localhost:9092 -topic login  --from-beginning

这样我们就可以看到生产者的信息了，如下是生产者的脚本信息，我们从第三方拿到信息，然后把数据写入到生产者中，然后我们就可以在消费者中就可以看到了，生产者的测试代码如下：

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#!/usr/bin/env python
#!coding:utf-8
from kafka import  KafkaProducer
from threading import  Thread
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor
import  json
import  requests

def laGou():
   r=requests.post(
      url='https://www.lagou.com/jobs/positionAjax.json?needAddtionalResult=false',
      data={'first':False,'pn':2,'kd':'测试开发工程师','sid':'850031016ddf4030a88f6754e5dc006a'},
      headers={
         'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/89.0.4389.114 Safari/537.36',
         'Content-Type':'application/x-www-form-urlencoded; charset=UTF-8',
         'referer':'https://www.lagou.com/jobs/list_%E6%B5%8B%E8%AF%95%E5%BC%80%E5%8F%91%E5%B7%A5%E7%A8%8B%E5%B8%88?labelWords=&fromSearch=true&suginput=',
         'cookie':'JSESSIONID=ABAAAECAAEBABII00AC62E013C0625CA93D0EB4398C66D6; WEBTJ-ID=20210410%E4%B8%8B%E5%8D%887:57:51195751-178bba53a39117-08cbdf3583191a-33697c08-1296000-178bba53a3ae9b; RECOMMEND_TIP=true; PRE_UTM=; PRE_HOST=; PRE_LAND=https%3A%2F%2Fwww.lagou.com%2F; user_trace_token=20210410195751-f07d0d66-519e-48d4-877c-5387150e2a09; LGSID=20210410195751-db63c8f7-870f-4cbe-ac29-02dc960ab170; PRE_SITE=https%3A%2F%2Fwww.lagou.com; LGUID=20210410195751-67a56d41-e0b1-4cde-ba97-e277061bba86; privacyPolicyPopup=false; _ga=GA1.2.962131978.1618055871; _gat=1; Hm_lvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1618055871; sajssdk_2015_cross_new_user=1; sensorsdata2015session=%7B%7D; _gid=GA1.2.1436722793.1618055871; index_location_city=%E5%85%A8%E5%9B%BD; __lg_stoken__=923813bee6e58b745829da50ad9441f719dc153ffd1937f393cf3fa8fbafe370e01d13c554827a78150d672f8697c19d5842821d051bcd2ee1ce37be887549bcbd1f7469c674; X_MIDDLE_TOKEN=b6b1f78324fc9dd4509291efd5b2504d; SEARCH_ID=4b5c97dd7b084167b3007a6d87b7d95e; X_HTTP_TOKEN=3676ec642119da6d878550816138d25526c88f2008; sensorsdata2015jssdkcross=%7B%22distinct_id%22%3A%22178bba53b758db-02a6a23b110e22-33697c08-1296000-178bba53b76cc0%22%2C%22first_id%22%3A%22%22%2C%22props%22%3A%7B%22%24latest_traffic_source_type%22%3A%22%E7%9B%B4%E6%8E%A5%E6%B5%81%E9%87%8F%22%2C%22%24latest_search_keyword%22%3A%22%E6%9C%AA%E5%8F%96%E5%88%B0%E5%80%BC_%E7%9B%B4%E6%8E%A5%E6%89%93%E5%BC%80%22%2C%22%24latest_referrer%22%3A%22%22%2C%22%24os%22%3A%22MacOS%22%2C%22%24browser%22%3A%22Chrome%22%2C%22%24browser_version%22%3A%2289.0.4389.114%22%7D%2C%22%24device_id%22%3A%22178bba53b758db-02a6a23b110e22-33697c08-1296000-178bba53b76cc0%22%7D; Hm_lpvt_4233e74dff0ae5bd0a3d81c6ccf756e6=1618055879; TG-TRACK-CODE=search_code; LGRID=20210410195804-8c8f7df0-646e-4133-98c0-63f0266fae20'
      })
   return r.json()

def sendData():
   for i in range(3):
      producer=KafkaProducer(bootstrap_servers=['localhost:9092'],value_serializer=lambda m: json.dumps(m).encode('ascii'))
      producer.send("login",laGou())
      producer.flush()
      producer.close()

if __name__ == '__main__':
   executor=ThreadPoolExecutor(max_workers=10)
   executor.submit(sendData)
   #关闭线程池
   executor.shutdown()

代码执行后，消费者这边看到的信息如下所示：

如果我们需要查看kafka的消费组信息，使用的命令为：

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kafka-consumer-groups.sh --bootstrap-server localhost:9092 --list

执行后，就会返回消费者组的信息，如下所示：

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kafka-consumer-groups.sh --bootstrap-server localhost:9092 --list
console-consumer-32947

我们可以看到，消费者组的信息为：console-consumer-32947，这个就是返回的消费者组的信息。当然，我们也可以在KafkaEagle的监控平台里面看到消费者组的信息，如下所示：

下面我们主要使用Java代码的方式，使用单线程的方式编写消费者的应用程序，来获取生产者的发送的数据，案例代码如下：

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package MQ;

import kafkaMq.KafkaMqManyProducer;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

import java.util.Arrays;
import java.util.Properties;

public class KafkaMqConsumer extends  Thread
{
   public Properties configure()
   {
      Properties properties=new Properties();
      //指定kafka的集群地址
      properties.put("bootstrap.servers","localhost:9092");
      //指定消费者组
      properties.put("group.id","console-consumer-32947");
      //开启自动提交
      properties.put("enable.auto.commit","true");
      //自动提交的时间间隔
      properties.put("auto.commit.interval.ms","1000");
      //反序列化消息主键
      properties.put("key.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
      //序列化消息记录
      properties.put("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");
      return properties;
   }

   @Override
   public void run()
   {
      KafkaConsumer<String, String> consumer=new KafkaConsumer<String, String>(configure());
      //订阅消费主题集合
      consumer.subscribe(Arrays.asList("login"));
      boolean  flag=true;
      while (flag)
      {
         //获取主题消息数据
         ConsumerRecords<String,String> resords=consumer.poll(100);
         for(ConsumerRecord<String,String> record:resords)
         {
            //循环打印消息数据
            System.out.printf("offerset=%d,key=%s,value=%s %n",record.offset(),record.key(),record.value());
         }
      }
      consumer.close();
   }

   public static void main(String[] args)
   {
      KafkaMqConsumer kafkaMqConsumer=new KafkaMqConsumer();
      kafkaMqConsumer.start();
   }
}

下面我们来进行演示，调用生产者的代码，把拉勾网“测试开发工程师”搜索的关键字获取的数据发送到生产者，消费者这边程序启动后，就会接收到这些数据，启动消费者程序，再执行执行生产者的代码，消费者这边就会获取到拉勾网测试开发工程师搜索后的结果数据，如下所示：

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SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
offerset=571847,key=null,value={"status": false, "msg": "dtaccess deny ", "clientIp": "117.22.184.128", "state": 2410}
/*
* 提示：该行代码过长，系统自动注释不进行高亮。一键复制会移除系统注释 
* offerset=577585,key=null,value={"success": true, "msg": null, "code": 0, "content": {"showId": "850031016ddf4030a88f6754e5dc006a", "hrInfoMap": {"7603159": {"userId": 3422862, "portrait": "i/image/M00/44/C3/CgqCHl8_QeWAGy6eAADwsABTIW431.jpeg", "realName": "gujiajia", "positionName": "HR", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8611431": {"userId": 366796, "portrait": "i/image2/M01/78/5B/CgotOVtqiYaASnsGAAAJ6xgePlE450.png", "realName": "Klook", "positionName": "HR", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8482853": {"userId": 19901470, "portrait": "i/image2/M01/0E/AC/CgotOVyhgdKAWLwZAACHltqNgkc507.png", "realName": "\u53f2\u715c", "positionName": "\u730e\u5934\u8d4b\u80fd\u5bfc\u5e08", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "7372628": {"userId": 15848445, "portrait": "i/image2/M01/0E/AC/CgotOVyhgcmAaD2nAABq7l7a11A980.png", "realName": "\u6c83\u70b9\u7f51\u7edc", "positionName": "", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8814784": {"userId": 10673343, "portrait": "i/image2/M01/0E/AC/CgotOVyhgc2AU_p3AABtO4vAHkg858.png", "realName": "\u5218\u5a77\u5a77", "positionName": "\u4eba\u4e8b", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "6954690": {"userId": 16693718, "portrait": "i/image/M00/36/29/CgqCHl8WukqAdDToAABjVF8cTK0307.png", "realName": "jessica liu", "positionName": "HR", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "7534586": {"userId": 10680446, "portrait": "i/image2/M00/4C/C5/CgoB5lr6UqSAdIY5AAAumxlRWKM571.png", "realName": "\u502a\u76fc\u76fc", "positionName": "HRBP", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8700910": {"userId": 5362160, "portrait": "i/image2/M01/0E/8C/CgoB5lyhgdiAN-4AAACeGEp-ay0931.png", "realName": "\u738b\u4e9a\u5e73", "positionName": "\u62db\u8058\u7ecf\u7406", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8772852": {"userId": 9098270, "portrait": "i/image6/M01/3C/90/Cgp9HWCLaxGAcL4CAAG4hWWlP9s90.jpeg", "realName": "\u6613\u7476", "positionName": "\u4eba\u529b\u603b\u76d1", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8495123": {"userId": 343627, "portrait": "i/image6/M00/3A/7C/Cgp9HWB_0xaAIC4QAAZHyS5MCZY802.png", "realName": "\u5e73\u5973\u58eb", "positionName": "", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8779703": {"userId": 7714441, "portrait": "i/image2/M01/0E/8C/CgoB5lyhgdiAN-4AAACeGEp-ay0931.png", "realName": "\u5218\u5176\u6797", "positionName": "\u62db\u8058\u7ecf\u7406", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8443607": {"userId": 11252437, "portrait": "i/image/M00/34/45/Ciqc1F8RgPGAJFaPAABSfTiSj4Q029.jpg", "realName": "\u79b9\u4e3d\u971e", "positionName": "HRBP", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8167748": {"userId": 5843433, "portrait": "i/image2/M01/0E/AC/CgotOVyhgdKAWLwZAACHltqNgkc507.png", "realName": "\u738b\u4f1f", "positionName": "\u8d44\u6df1\u62db\u8058", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8779832": {"userId": 7714441, "portrait": "i/image2/M01/0E/8C/CgoB5lyhgdiAN-4AAACeGEp-ay0931.png", "realName": "\u5218\u5176\u6797", "positionName": "\u62db\u8058\u7ecf\u7406", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}, "8749786": {"userId": 21526615, "portrait": "i/image2/M01/0E/AC/CgotOVyhgdKAWLwZAACHltqNgkc507.png", "realName": "\u5f90\u5f8b\u6d9b", "positionName": "\u8054\u5408\u521b\u59cb\u4eba", "phone": null, "receiveEmail": null, "userLevel": "G1", "canTalk": true}}, "pageNo": 2, "positionResult": {"resultSize": 15, "result": [{"positionId": 8749786, "positionName": "\u6d4b\u8bd5\u5f00\u53d1\u5de5\u7a0b\u5e08", "companyId": 123252522, "companyFullName": "\u5149\u7ebf\u4e91\uff08\u676d\u5dde\uff09\u79d1\u6280\u6709\u9650\u516c\u53f8", "companyShortName": "\u5149\u7ebf\u4e91", "companyLogo": "i/image6/M00/3C/F9/CioPOWCRAkaAKMg1AAAPW4Mjmzk894.jpg", "companySize": "15-50\u4eba", "industryField": "\u5de5\u5177\u7c7b\u4ea7\u54c1,\u8f6f\u4ef6\u670d\u52a1\uff5c\u54a8\u8be2,\u5185\u5bb9\u793e\u533a", "financeStage": "\u5929\u4f7f\u8f6e", "companyLabelList": ["\u7ee9\u6548\u5956\u91d1", "\u80a1\u7968\u671f\u6743", "\u4ea4\u901a\u8865\u52a9", "\u5348\u9910\u8865\u52a9"], "firstType": "\u5f00\u53d1|\u6d4b\u8bd5|\u8fd0\u7ef4\u7c7b", "secondType": "\u6d4b\u8bd5", "thirdType": "\u6d4b\u8bd5\u5de5\u7a0b\u5e08", "newFirstType": null, "newSecondType": null, "newThirdType": null, "positionNewLables": {}, "skillLables": ["\u6e38\u620f\u6d4b\u8bd5", "\u6d4b\u8bd5\u5de5\u5177\u5f00\u53d1"], "positionLables": ["\u6e38\u620f\u6d4b\u8bd5", "\u6d4b\u8bd5\u5de5\u5177\u5f00\u53d1"], "industryLables": [], "createTime": "2021-05-23 10:07:40", "formatCreateTime": "10:07\u53d1\u5e03", "city": "\u676d\u5dde", "district": "\u897f\u6e56\u533a", "businessZones": null, "salary": "15k-23k", "salaryMonth": "15", "workYear": "3-5\u5e74", "jobNature": "\u5168\u804c", "education": "\u672c\u79d1", "positionAdvantage": "\u5df2\u83b7\u591a\u5bb6\u4e00\u7ebfVC\u6295\u8d44\uff0c\u5ba2\u6237\u8986\u76d6\u591a\u5bb6\u4e00\u7ebf\u5de8\u5934\u3002", "imState": "today", "lastLogin": "2021-05-23 11:07:45", "publisherId": 21526615, "approve": 1, "subwayline": "2\u53f7\u7ebf", "stationname": "\u867e\u9f99\u5729", "linestaion": "2\u53f7\u7ebf_\u4e09\u575d;2\u53f7\u7ebf_\u867e\u9f99\u5729;2\u53f7\u7ebf_\u4e09\u58a9", "latitude": "30.308174", "longitude": "120.094534", "distance": null, "hitags": null, "resumeProcessRate": 38, "resumeProcessDay": 1, "score": 55, "newScore": 0.0, "matchScore": 12.566667, "matchScoreExplain": null, "query": null, "explain": null, "isSchoolJob": 0, "adWord": 0, "plus": null, "pcShow": 0, "appShow": 0, "deliver": 0, "gradeDescription": null, "promotionScoreExplain": null, "isHotHire": 0, "count": 0, "aggregatePositionIds": [], "reCallType": null, "userExpectId": -1, "userExpectText": "", "promotionType": null, "is51Job": false, "expectJobId": null, "encryptId": "30c9a26f2e4e0792aeb4194fd28e826016f27fc543e067acd226a851377c36f5", "famousCompany": false, "hunterJob": false, "detailRecall": false}, {"positionId": 8611431, "positionName": "\u6d4b\u8bd5\u5f00\u53d1\u5de5\u7a0b\u5e08", "companyId": 28121, "companyFullName": "\u6df1\u5733\u5e02\u5ba2\u8def\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8", "companyShortName": "KLOOK \u5ba2\u8def\u65c5\u884c", "companyLogo": "i/image/M00/00/AD/Cgp3O1ZSwWuATjtNAAAfDHrmDjo001.png", "companySize": "500-2000\u4eba", "industryField": "\u65c5\u6e38\uff5c\u51fa\u884c", "financeStage": "D\u8f6e\u53ca\u4ee5\u4e0a", "companyLabelList": ["\u6241\u5e73\u7ba1\u7406", "\u56fd\u9645\u5316\u56e2\u961f", "\u65c5\u6e38\u57fa\u91d1", "\u5b9a\u671f\u4f53\u68c0"], "firstType": 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"\u5f39\u6027\u5de5\u4f5c", "\u5730\u94c1\u5468\u8fb9", "5\u96691\u91d1", "\u664b\u5347\u673a\u5236", "6\u96691\u91d1"], "resumeProcessRate": 1, "resumeProcessDay": 1, "score": 34, "newScore": 0.0, "matchScore": 6.4733334, "matchScoreExplain": null, "query": null, "explain": null, "isSchoolJob": 0, "adWord": 0, "plus": null, "pcShow": 0, "appShow": 0, "deliver": 0, "gradeDescription": null, "promotionScoreExplain": null, "isHotHire": 0, "count": 0, "aggregatePositionIds": [], "reCallType": null, "userExpectId": -1, "userExpectText": "", "promotionType": null, "is51Job": false, "expectJobId": null, "encryptId": "e3149da1936c62f7e1a1e4247bd5e93f18b0be97bc9d4205", "famousCompany": true, "hunterJob": false, "detailRecall": false}, {"positionId": 7372628, "positionName": "\u6d4b\u8bd5\u5f00\u53d1\u5de5\u7a0b\u5e08\u9ad8\u7ea7", "companyId": 117510531, "companyFullName": "\u4e0a\u6d77\u6c83\u70b9\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8", "companyShortName": "\u6c83\u70b9\u7f51\u7edc", "companyLogo": "i/image3/M01/5E/D7/CgpOIF4OoYyATbJWAABZwmiyBaI886.png", "companySize": "150-500\u4eba", "industryField": "IT\u6280\u672f\u670d\u52a1\uff5c\u54a8\u8be2,\u7f51\u7edc\u901a\u4fe1", "financeStage": "B\u8f6e", "companyLabelList": ["\u5e74\u5e95\u53cc\u85aa", "\u4ea4\u901a\u8865\u52a9", "\u5348\u9910\u8865\u52a9", "\u5e26\u85aa\u5e74\u5047"], "firstType": "\u5f00\u53d1|\u6d4b\u8bd5|\u8fd0\u7ef4\u7c7b", "secondType": "\u6d4b\u8bd5", "thirdType": "\u6d4b\u8bd5\u5de5\u7a0b\u5e08", "newFirstType": null, "newSecondType": null, "newThirdType": null, "positionNewLables": {}, "skillLables": ["\u529f\u80fd\u6d4b\u8bd5"], "positionLables": ["\u529f\u80fd\u6d4b\u8bd5"], "industryLables": [], "createTime": "2021-05-23 17:00:17", "formatCreateTime": "17:00\u53d1\u5e03", "city": "\u4e0a\u6d77", "district": "\u6d66\u4e1c\u65b0\u533a", "businessZones": null, "salary": "20k-28k", "salaryMonth": "0", "workYear": "3-5\u5e74", "jobNature": "\u5168\u804c", "education": "\u672c\u79d1", "positionAdvantage": "\u53d1\u5c55\u524d\u666f\u826f\u597d\u3001\u505a\u4e94\u4f11\u4e8c\uff0c\u52a0\u73ed\u8865\u4f11", "imState": "today", "lastLogin": "2021-05-23 16:26:33", "publisherId": 15848445, "approve": 1, "subwayline": "9\u53f7\u7ebf", "stationname": "\u53f0\u513f\u5e84\u8def", "linestaion": "9\u53f7\u7ebf_\u53f0\u513f\u5e84\u8def", "latitude": "31.245192", "longitude": "121.607323", "distance": null, "hitags": null, "resumeProcessRate": 100, "resumeProcessDay": 1, "score": 34, "newScore": 0.0, "matchScore": 6.513334, "matchScoreExplain": null, "query": null, "explain": null, "isSchoolJob": 0, "adWord": 0, "plus": null, "pcShow": 0, "appShow": 0, "deliver": 0, "gradeDescription": null, "promotionScoreExplain": null, "isHotHire": 0, "count": 0, "aggregatePositionIds": [], "reCallType": null, "userExpectId": -1, "userExpectText": "", "promotionType": null, "is51Job": false, "expectJobId": null, "encryptId": "9b1989fe5c930107dc83345fcc27d42dc342954115f67586073d9ec5e48c0c42", "famousCompany": false, "hunterJob": false, "detailRecall": false}], "locationInfo": {"city": null, "district": null, "businessZone": null, "isAllhotBusinessZone": false, "locationCode": null, "queryByGisCode": false}, "queryAnalysisInfo": {"positionName": "\u6d4b\u8bd5\u5f00\u53d1\u5de5\u7a0b\u5e08", "positionNames": ["\u6d4b\u8bd5\u5f00\u53d1\u5de5\u7a0b\u5e08"], "companyName": null, "industryName": null, "usefulCompany": false, "jobNature": null}, "strategyProperty": {"name": "dm-csearch-personalPositionLayeredStrategyNew", "id": 0}, "hotLabels": null, "hiTags": null, "benefitTags": null, "industryField": null, "companySize": null, "positionName": null, "totalCount": 2046, "totalScore": 0.0, "triggerOrSearch": false, "categoryTypeAndName": {"3": "\u6d4b\u8bd5\u5de5\u7a0b\u5e08"}, "categoryTagCodes": [], "tagCodes": []}, "pageSize": 15}, "resubmitToken": null, "requestId": null}
*/

感谢您的阅读，在下一节中主要演示多线程生产者以及多线程消费者的数据发送和接收。

第九期测试开发24号开班，欢迎咨询！本次更多聚焦于服务端测试的技术栈知识体系。

本文参与 腾讯云自媒体同步曝光计划，分享自微信公众号。
原始发表：2021-05-23，如有侵权请联系 cloudcommunity@tencent.com 删除
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