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Metrics: refine and add "listen"
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@ -4,61 +4,42 @@
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## 相关配置
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可以在 inbounds 配置中增加一个 metrics 的 inbound
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```json
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"inbounds": [
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{
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"listen": "127.0.0.1",
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"port": 11111,
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"protocol": "dokodemo-door",
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"settings": {
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"address": "127.0.0.1"
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},
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"tag": "metrics_in"
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}
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]
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```
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在路由配置中增加针对 metrics inbound 的路由规则
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```json
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"routing": {
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"rules": [
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{
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"type": "field",
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"inboundTag": [
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"metrics_in"
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],
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"outboundTag": "metrics_out"
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}
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]
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}
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```
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在基础配置中增加 metrics
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```json
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"metrics": {
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"tag": "metrics_out"
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"tag": "Metrics",
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"listen": "127.0.0.1:11111"
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}
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```
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> `tag`: string
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metrics 对应的出站代理 tag, 通过设置任意门入站+路由将任意门指向此出站即可通过该任意门访问。
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> `listen`: string
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更简单的方法,直接监听一个地址端口提供服务。
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设置该字段时若 tag 为空会自动设置为 `Metrics`, 如果二者均未设置核心会启动失败。
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## 使用方法
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### pprof
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Access `http://127.0.0.1:11111/debug/pprof/` or use go tool pprof to start profiling or inspect running goroutines.
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访问 `http://127.0.0.1:11111/debug/pprof/` 或者使用 go tool pprof 进行调试。
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反馈内存占用过多/内存泄露问题需要提供 `/debug/pprof/heap` 的文件
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### expvars
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Access `http://127.0.0.1:11111/debug/vars`
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访问 `http://127.0.0.1:11111/debug/vars`
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Variables exported include:
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* `stats` includes statistics about inbounds, outbounds and users
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* `observatory` includes observatory results
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包含的变量:
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* `stats` 包括所有的 inbound outbound user 数据
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* `observatory` 包含了 observatory 观测结果
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for example with [luci-app-xray](https://github.com/yichya/luci-app-xray) you are likely to get a result like this (standard expvar things like `cmdline` and `memstats` are omitted)
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例如在 [luci-app-xray](https://github.com/yichya/luci-app-xray) 你可以得到这样的输出 (省略了 cmdline 和 memstats 等标准expvar内容)
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<details><summary>点击查看</summary><br>
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@ -151,10 +132,10 @@ for example with [luci-app-xray](https://github.com/yichya/luci-app-xray) you ar
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```
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</details>
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To get a better view of these numbers, [Netdata](https://github.com/netdata/netdata) (with python.d plugin) is a great option:
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为了得到更好的可视化输出, 可以使用 [Netdata](https://github.com/netdata/netdata) (with python.d plugin):
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1. Edit related configuration file (`sudo /etc/netdata/edit-config python.d/go_expvar.conf`)
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2. Take the following configuration file as an example:
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1. 编辑相关配置文件 (`sudo /etc/netdata/edit-config python.d/go_expvar.conf`)
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2. 使用下面这样的实力配置:
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<details><summary>点击查看</summary><br>
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@ -265,11 +246,6 @@ xray:
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```
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</details>
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And you will get a nice plot like this:
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你可以得到类似这样的结果:
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### Additional
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Maybe reusing the empty object `stats` in config file is better than adding `metrics` here?
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**Edit:** removed prometheus related things and added usage about expvars
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