前戏
Jmeter原生测试报告有如下缺点
- 不具备实时性
- 报告中的数据是测试时间段内的平均值
- 丑
在如上缺点中，就诞生了性能监控平台，性能监控平台比jmeter的优势如下
- 实时展示Jmeter压测数据
- 数据范围可选
- 界面美观
性能监控平台的组成如下
- Jmeter：压测工具，产生压测数据
- InfluxDB：开源时序数据库，特别适合用于处理和分析资源监控数据，用于存储压测数据。
- Grefana：度量分析与可视化图标展示工具，可以支持不同种类的数据源，用于存储与InfluxDB中的数据以图标的形式展示出来。
InfluxDB部署
自从学会了docker之后，所有的环境部署我都会优先考虑docker，部署起来简单方便
部署之前确保自己已经安装了docker并且启动了，如何部署查看我的docker文章。
1.下载influxDB镜像
docker pull influxdb
2.下载完查看镜像
docker images
3.启动 influxDB 容器，将新 influxDB 容器命名为 jmeterdb, 执⾏docker创建容易命令：
docker run -d -p 8086:8086 -p 8083:8083 --name=jmeterdb influxdb
4.执⾏如下命令进⼊容器内部
docker exec -it jmeterdb /bin/bash
5.在容器内部创建一个数据库，用于收集jmeter发送的压测数据
执行influx命令进入命令台
使用 show databases; 查看已存在的数据库，只有一个_internal
6.我们创建一个名为jmeter的数据库，用来存放我们的数据
将jmeter收集到的数据发送给influxdb
上面我们已经在我们的服务器上搭建好了influxdb，并且创建了一个数据库，名为jmeter。现在我们就用jmeter往influxdb里发送数据。
在Jmeter中添加Backend Listener组件，用于收集数据并发送给influxdb
默认页面如下
在 Backend Listener implementation 中选择InfluxdbBackendListenerClient （注意：必须使⽤jmeter 5.0以上版本，否则需要单独装插件才可以看到这个组件）
- 在influxdbURL中将实际的influxdb hostname填写进去
- 在application中填写你的应用名称，也可以不改
- 在 tetestTile 中可以修改，也可以不改
- 其他配置保存不变
运行Jmeter，然后在influxdb中检验是否已经能够接收到数据
搭建grafana
上面我们已经搭建好了influxdb，并且将jmeter产生的数据存在了influxdb的数据库里。这时候就需要一个工具将influxdb的数据读取出来并展示。grafana就是用来展示数据的
这里我们也是使用docker部署
1.下载镜像
docker pull grafana/grafana
2.启动镜像
docker run -d -p 3000:3000 --name=jmeterGrafana grafana/grafana
3.访问Grafana的控制台，验证是否正常运行
默认用户名/密码： admin/admin，登录之后跳过修改密码
直接跳过修改密码就可以了
我们已经登录成功了，这时候我们就要配置我们的grafana了，步骤如下
单击 Save & Test 按钮，确认返回消息提示正确确认信息
如果测试通过的话，我们点击左边的+，选择jmeter，导入 Jmeter Dashboard
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"sort": 0, "tagValuesQuery": null, "tags": [], "tagsQuery": null, "type": "query", "useTags": false }, { "allValue": null, "current": { "text": "JR_OK", "value": "JR_OK" }, "datasource": "$data_source", "hide": 0, "includeAll": false, "label": "", "multi": false, "name": "transaction", "options": [], "query": "SHOW TAG VALUES FROM "jmeter" WITH KEY = "transaction" WHERE "application" =~ /^$application$/ AND "transaction" != 'internal' AND "transaction" != 'all'", "refresh": 1, "regex": "", "sort": 0, "tagValuesQuery": null, "tags": [], "tagsQuery": null, "type": "query", "useTags": false }, { "current": { "text": "jmeter", "value": "jmeter" }, "hide": 2, "label": "Measurement name", "name": "measurement_name", "options": [ { "text": "jmeter", "value": "jmeter" } ], "query": "jmeter", "type": "constant" }, { "current": { "text": "5", "value": "5" }, "hide": 2, "label": "Backend send interval in second", "name": "send_interval", "options": [ { "text": "5", "value": "5" } ], "query": "5", "type": "constant" } ] }, "time": { "from": "now-5m", "to": "now" }, "timepicker": { "refresh_intervals": [ "5s", "10s", "30s", "1m", "5m", "15m", "30m", "1h", "2h", "1d" ], "time_options": [ "5m", "15m", "1h", "6h", "12h", "24h", "2d", "7d", "30d" ] }, "timezone": "browser", "title": "JMeter Dashboard", "version": 4 }
点击load后进入如下页面
点击import进入如下界面
更多Grafana Dashboard 可以参考官⽹：https://grafana.com/grafana/dashboards?dataSource=influxdb
InfluxDB+Grafana+Jmeter实战
前面我们已经将influxdb和Grafana搭建好了，现在我们使用jmeter施压，看Grafana上有没有数据产生。
当我们启动jmeter压测的时候，很明显可以看到grafana上的数据在发生变化，这样我们就可以根据grafana产生的报告来进行性能分析了