小编给大家分享一下Java中如何实现Kafka消费积压监控，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！
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<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<String, String>(properties);
//查询 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();
//查询 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));
}
//查询消费 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<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<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(有些东西没用到或者备用，没有删)：
<?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消费积压监控预警</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)：
<!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 监控
<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, //全局定义常规单元格的最小宽度
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: '生产速度(条/秒)', templet: function (d) {
return '<div class="div-right">' + d.speedLogSize + '</div>'
}
},
{
field: 'speedOffset', width: 150, title: '消费速度(条/秒)', templet: function (d) {
return '<div class="div-right">' + d.speedOffset + '</div>'
}
},
{
field: 'ratio', width: 100, title: '消费/生产', 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: '积压(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=' + d.topic + '&groupId=' + d.groupId + '" rel="external nofollow" target="_blank" class="layui-btn layui-btn-sm" >详细</a>';
}
}
]]
});
});
function refreshTable() {
if (myTable) {
myTable.reload();
}
}
setInterval(function () {
refreshTable();
}, 30000);
// setInterval(function () {
// $.get("/home/monitor/monitorOnce");
// }, 30000);
</script>
</body>
</html>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)：
<!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> 明细
<button type="button" class="layui-btn layui-btn-sm" onclick="refreshTable()">刷新</button>
</div>
<div id="main" ></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, //全局定义常规单元格的最小宽度
initSort: {
field: 'time', //排序字段，对应 cols 设定的各字段名
type: 'desc' //排序方式 asc: 升序、desc: 降序、null: 默认排序
},
cols: [[
{field: 'topic', width: 300, title: 'topic'},
{field: 'groupId', width: 300, title: 'groupId'},
{field: 'time', width: 180, title: '时间', 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: '生产速度(条/秒)', templet: function (d) {
return '<div class="div-right">' + d.speedLogSize + '</div>'
}
},
{
field: 'speedOffset', width: 150, title: '消费速度(条/秒)', templet: function (d) {
return '<div class="div-right">' + d.speedOffset + '</div>'
}
},
{
field: 'ratio', width: 100, title: '消费/生产', 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: '积压(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 趋势图",
x: 'center'
},
xAxis: {
type: 'category',
data: xAxis
},
yAxis: {
type: 'value'
},
series: [{
data: serseis,
type: 'line'
}]
};
myChart.setOption(option);
}
}
});
}
showChart();
</script>
</body>
</html>效果图：
消费者组列表：
消费者组明细：
以上是“Java中如何实现Kafka消费积压监控”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注亿速云行业资讯频道！
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