Java Kafka 消費積壓監控的示例代碼
後端代碼:
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 partitions topicPartitionList = 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.*; @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<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 @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>
前端使用瞭 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="css/index.css" rel="external nofollow" rel="external nofollow" > <link rel="stylesheet" href="js/layui-v2.6.8/css/layui.css" rel="external nofollow" rel="external nofollow" media="all"> <script type="text/javascript" src="js/jquery-1.7.1.js"></script> <script type="text/javascript" src="js/layui-v2.6.8/layui.js" charset="utf-8"></script> </head> <body> <div class="div-title">Kafka 監控 <button type="button" class="layui-btn layui-btn-sm" onclick="refreshTable()">刷新</button> </div> <table class="layui-hide" 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="/home/detail.html?topic='%20+%20d.topic%20+%20'&groupId='%20+%20d.groupId%20+%20'" rel="external nofollow" target="_blank" class="layui-btn layui-btn-sm" >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="css/index.css" rel="external nofollow" rel="external nofollow" > <link rel="stylesheet" href="js/layui-v2.6.8/css/layui.css" rel="external nofollow" rel="external nofollow" media="all"> <script type="text/javascript" src="js/jquery-1.7.1.js"></script> <script type="text/javascript" src="js/layui-v2.6.8/layui.js" charset="utf-8"></script> <script type="text/javascript" src="js/echarts-v4.7.0/echarts.min.js"></script> </head> <body> <div class="div-title"><span id="detailTitle"></span> 明細 <button type="button" class="layui-btn layui-btn-sm" onclick="refreshTable()">刷新</button> </div> <div id="main" style="height:400px;"></div> <table class="layui-hide" 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:
到此這篇關於Java Kafka 消費積壓監控的文章就介紹到這瞭,更多相關Java Kafka 消費監控內容請搜索WalkonNet以前的文章或繼續瀏覽下面的相關文章希望大傢以後多多支持WalkonNet!
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