后端代碼：

Monitor.java代碼：

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消費監控 * * @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<ConsumerInfo> 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<ConsumerInfo> getList() {return list; } public void setList(List<ConsumerInfo> list) {this.list = list; } private KafkaConsumer<String, String> consumer; private List<TopicPartition> 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<>();//消費者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<String, String>(properties);//查詢 topic partitionstopicPartitionList = new ArrayList<>();List<PartitionInfo> 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(); //查詢 log size Map<Integer, Long> endOffsetMap = new HashMap<>(); Map<TopicPartition, Long> endOffsets = consumer.endOffsets(topicPartitionList); for (TopicPartition partitionInfo : endOffsets.keySet()) {endOffsetMap.put(partitionInfo.partition(), endOffsets.get(partitionInfo)); } //查詢消費 offset Map<Integer, Long> commitOffsetMap = new HashMap<>(); for (TopicPartition topicAndPartition : topicPartitionList) {OffsetAndMetadata committed = consumer.committed(topicAndPartition);commitOffsetMap.put(topicAndPartition.partition(), committed.offset()); } long endTime = System.currentTimeMillis(); log.info('查詢logSize和offset耗時:' + (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('計算耗時:' + (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代碼：

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.*;@Servicepublic class MonitorService { private static final Logger log = LoggerFactory.getLogger(MonitorService.class); @Value('${kafka.consumer.servers}') private String servers; private Monitor monitor; private List<Monitor> 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<ConsumerInfo> getConsumerList() {List<ConsumerInfo> 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<ConsumerInfo> 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代碼：

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@EnableSchedulingpublic 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代碼：

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<ConsumerInfo> 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<ConsumerInfo> list = monitorService.getDetails(topic, groupId);LayuiData data = new LayuiData(list);return data; }}

pom.xml文件(有些東西沒用到或者備用，沒有刪)：

<?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> <parent><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-parent</artifactId><version>2.1.6.RELEASE</version><relativePath/> <!-- lookup parent from repository --> </parent> <groupId>com.suncreate</groupId> <artifactId>kafka-consumer-monitor</artifactId> <version>1.0</version> <name>kafka-consumer-monitor</name> <description>Kafka消費積壓監控預警</description> <properties><java.version>1.8</java.version><elasticsearch.version>6.1.4</elasticsearch.version> </properties> <dependencies><dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.12</version></dependency><dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.54</version></dependency><dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId></dependency><dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope></dependency><dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka-test</artifactId> <scope>test</scope></dependency><dependency> <groupId>com.google.code.gson</groupId> <artifactId>gson</artifactId> <version>2.8.0</version></dependency><dependency> <groupId>org.postgresql</groupId> <artifactId>postgresql</artifactId> <scope>runtime</scope></dependency><dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jdbc</artifactId></dependency><dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>elasticsearch-rest-high-level-client</artifactId> <version>6.1.4</version></dependency><dependency> <groupId>com.oracle</groupId> <artifactId>ojdbc6</artifactId> <version>11.1.0.7.0</version></dependency><dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.11</artifactId> <version>0.11.0.1</version></dependency><dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka-clients</artifactId> <version>0.11.0.1</version></dependency> </dependencies> <build><plugins> <plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId> </plugin> <plugin><groupId>org.apache.maven.plugins</groupId><artifactId>maven-compiler-plugin</artifactId><configuration> <source>8</source> <target>8</target></configuration> </plugin></plugins> </build></project>

前端使用了 Layui 和 ECharts 展示表格和圖表

index.css代碼：

.div-title { font-size: 18px; margin-top: 10px; margin-left: 10px;}.div-right { text-align: right;}.span-red { color: #ff0000;}

index.html代碼(展示topic、消費者組Consumer GroupId、Total Lag、Kafka數據生產速度、Kafka數據消費速度等)：

<!DOCTYPE html><html lang='zh'><head> <meta charset='UTF-8'> <title>Title</title> <link rel='stylesheet' href='http://www.b3g6.com/bcjs/css/index.css' rel='external nofollow' rel='external nofollow' > <link rel='stylesheet' href='http://www.b3g6.com/bcjs/js/layui-v2.6.8/css/layui.css' rel='external nofollow' rel='external nofollow' media='all'> <script type='text/javascript' src='http://www.b3g6.com/bcjs/js/jquery-1.7.1.js'></script> <script type='text/javascript' src='http://www.b3g6.com/bcjs/js/layui-v2.6.8/layui.js' charset='utf-8'></script></head><body><div class='div-title'>Kafka 監控 <button type='button' onclick='refreshTable()'>刷新</button></div><table id='myTable'></table><script type='text/javascript'> var myTable; layui.use(’table’, function () {var table = layui.table;myTable = table.render({ elem: ’#myTable’, url: ’/home/monitor/getConsumers’, cellMinWidth: 80, //全局定義常規單元格的最小寬度 cols: [[{field: ’topic’, width: 300, title: ’topic’, sort: true},{field: ’groupId’, width: 300, title: ’groupId’},{ field: ’totalLag’, width: 150, title: ’Total Lag’, sort: true, templet: function (d) {if (d.delayDay * 24 > 2) { return ’<div class='div-right'><span class='span-red'>’ + d.totalLag + ’</span></div>’} else { return ’<div class='div-right'><span>’ + d.totalLag + ’</span></div>’} }},{ field: ’speedLogSize’, width: 150, title: ’生產速度(條/秒)’, templet: function (d) {return ’<div class='div-right'>’ + d.speedLogSize + ’</div>’ }},{ field: ’speedOffset’, width: 150, title: ’消費速度(條/秒)’, templet: function (d) {return ’<div class='div-right'>’ + d.speedOffset + ’</div>’ }},{ field: ’ratio’, width: 100, title: ’消費/生產’, templet: function (d) {if (d.ratio < 90) { return ’<div class='div-right'><span class='span-red'>’ + d.ratio + ’%</span></div>’} else { return ’<div class='div-right'><span>’ + d.ratio + ’%</span></div>’} }},{ field: ’delayDay’, width: 150, title: ’積壓(天)’, sort: true, templet: function (d) {if (d.delayDay * 24 > 2) { return ’<div class='div-right'><span class='span-red'>’ + d.delayDay + ’</span></div>’} else { return ’<div class='div-right'><span>’ + d.delayDay + ’</span></div>’} }},{ field: ’ope’, width: 100, title: ’操作’, templet: function (d) {return ’<a href='http://www.b3g6.com/home/detail.html?topic=’ + d.topic + ’&groupId=’ + d.groupId + ’' rel='external nofollow' target='_blank' >詳細</a>’; }} ]]}); }); function refreshTable() {if (myTable) { myTable.reload();} } setInterval(function () {refreshTable(); }, 30000); // setInterval(function () { // $.get('/home/monitor/monitorOnce'); // }, 30000);</script></body></html>

detail.html代碼(展示單個消費者組的Total Lag、生產速度、消費速度以及Total Lag趨勢圖)：

<!DOCTYPE html><html lang='zh'><head> <meta charset='UTF-8'> <title>Title</title> <link rel='stylesheet' href='http://www.b3g6.com/bcjs/css/index.css' rel='external nofollow' rel='external nofollow' > <link rel='stylesheet' href='http://www.b3g6.com/bcjs/js/layui-v2.6.8/css/layui.css' rel='external nofollow' rel='external nofollow' media='all'> <script type='text/javascript' src='http://www.b3g6.com/bcjs/js/jquery-1.7.1.js'></script> <script type='text/javascript' src='http://www.b3g6.com/bcjs/js/layui-v2.6.8/layui.js' charset='utf-8'></script> <script type='text/javascript' src='http://www.b3g6.com/bcjs/js/echarts-v4.7.0/echarts.min.js'></script></head><body><div class='div-title'><span id='detailTitle'></span> 明細 <button type='button' onclick='refreshTable()'>刷新</button></div><div style='height:400px;'></div><table id='test'></table><script type='text/javascript'> var myTable; var topic = getQueryVariable('topic'); var groupId = getQueryVariable('groupId'); $('#detailTitle').html(topic + ' ' + groupId); layui.use(’table’, function () {var table = layui.table;myTable = table.render({ elem: ’#test’, url: ’/home/monitor/getDetails?topic=’ + topic + ’&groupId=’ + groupId, cellMinWidth: 80, //全局定義常規單元格的最小寬度 initSort: {field: ’time’, //排序字段，對應 cols 設定的各字段名type: ’desc’ //排序方式 asc: 升序、desc: 降序、null: 默認排序 }, cols: [[{field: ’topic’, width: 300, title: ’topic’},{field: ’groupId’, width: 300, title: ’groupId’},{field: ’time’, width: 180, title: ’時間’, sort: true},{ field: ’totalLag’, width: 150, title: ’Total Lag’, templet: function (d) {if (d.delayDay * 24 > 2) { return ’<div class='div-right'><span class='span-red'>’ + d.totalLag + ’</span></div>’} else { return ’<div class='div-right'><span>’ + d.totalLag + ’</span></div>’} }},{ field: ’speedLogSize’, width: 150, title: ’生產速度(條/秒)’, templet: function (d) {return ’<div class='div-right'>’ + d.speedLogSize + ’</div>’ }},{ field: ’speedOffset’, width: 150, title: ’消費速度(條/秒)’, templet: function (d) {return ’<div class='div-right'>’ + d.speedOffset + ’</div>’ }},{ field: ’ratio’, width: 100, title: ’消費/生產’, templet: function (d) {if (d.ratio < 90) { return ’<div class='div-right'><span class='span-red'>’ + d.ratio + ’%</span></div>’} else { return ’<div class='div-right'><span>’ + d.ratio + ’%</span></div>’} }},{ field: ’delayDay’, width: 150, title: ’積壓(天)’, templet: function (d) {if (d.delayDay * 24 > 2) { return ’<div class='div-right'><span class='span-red'>’ + d.delayDay + ’</span></div>’} else { return ’<div class='div-right'><span>’ + d.delayDay + ’</span></div>’} }} ]]}); }); function refreshTable() {if (myTable) { myTable.reload();}showChart(); } setInterval(function () {refreshTable(); }, 30000); function getQueryVariable(variable) {var query = window.location.search.substring(1);var vars = query.split('&');for (var i = 0; i < vars.length; i++) { var pair = vars[i].split('='); if (pair[0] == variable) {return pair[1]; }}return (false); } function showChart() {$.ajax({ type: 'GET', url: ’/home/monitor/getDetails?topic=’ + topic + ’&groupId=’ + groupId, success: function (data) {if (data && data.data && data.data.length > 1) { debugger; var chartDom = document.getElementById(’main’); var myChart = echarts.init(chartDom); var option; var xAxis = []; var serseis = []; for (var i = 0; i < data.data.length; i++) {xAxis.push(data.data[i].time);serseis.push(data.data[i].totalLag); } option = {title: { show: true, text: 'Total Lag 趨勢圖', x: ’center’},xAxis: { type: ’category’, data: xAxis},yAxis: { type: ’value’},series: [{ data: serseis, type: ’line’}] }; myChart.setOption(option);} }}); } showChart();</script></body></html>

效果圖：

消費者組列表：

消費者組明細：

到此這篇關于Java Kafka 消費積壓監控的文章就介紹到這了,更多相關Java Kafka 消費監控內容請搜索好吧啦網以前的文章或繼續瀏覽下面的相關文章希望大家以后多多支持好吧啦網！