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# Metrics
更直接(希望更好)的统计导出方式。
## 相关配置
可以在 inbounds 配置中增加一个 metrics 的 inbound
```json
"inbounds": [
{
"listen": "127.0.0.1",
"port": 11111,
"protocol": "dokodemo-door",
"settings": {
"address": "127.0.0.1"
},
"tag": "metrics_in"
}
]
```
在路由配置中增加针对 metrics inbound 的路由规则
```json
"routing": {
"rules": [
{
"type": "field",
"inboundTag": [
"metrics_in"
],
"outboundTag": "metrics_out"
}
]
}
```
在基础配置中增加 metrics
```json
"metrics": {
"tag": "metrics_out"
}
```
## 使用方法
### pprof
Access `http://127.0.0.1:11111/debug/pprof/` or use go tool pprof to start profiling or inspect running goroutines.
### expvars
Access `http://127.0.0.1:11111/debug/vars`
Variables exported include:
* `stats` includes statistics about inbounds, outbounds and users
* `observatory` includes observatory results
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)
<details><summary>点击查看</summary><br>
```json
{
"observatory": {
"tcp_outbound": {
"alive": true,
"delay": 782,
"outbound_tag": "tcp_outbound",
"last_seen_time": 1648477189,
"last_try_time": 1648477189
},
"udp_outbound": {
"alive": true,
"delay": 779,
"outbound_tag": "udp_outbound",
"last_seen_time": 1648477191,
"last_try_time": 1648477191
}
},
"stats": {
"inbound": {
"api": {
"downlink": 0,
"uplink": 0
},
"dns_server_inbound_5300": {
"downlink": 14286,
"uplink": 5857
},
"http_inbound": {
"downlink": 74460,
"uplink": 10231
},
"https_inbound": {
"downlink": 0,
"uplink": 0
},
"metrics": {
"downlink": 6327,
"uplink": 1347
},
"socks_inbound": {
"downlink": 19925615,
"uplink": 5512
},
"tproxy_tcp_inbound": {
"downlink": 4739161,
"uplink": 1568869
},
"tproxy_udp_inbound": {
"downlink": 0,
"uplink": 2608142
}
},
"outbound": {
"blackhole_outbound": {
"downlink": 0,
"uplink": 0
},
"direct": {
"downlink": 97714548,
"uplink": 3234617
},
"dns_server_outbound": {
"downlink": 7116,
"uplink": 2229
},
"manual_tproxy_outbound_tcp_1": {
"downlink": 0,
"uplink": 0
},
"manual_tproxy_outbound_udp_1": {
"downlink": 0,
"uplink": 0
},
"tcp_outbound": {
"downlink": 23873238,
"uplink": 1049595
},
"udp_outbound": {
"downlink": 639282,
"uplink": 74634
}
},
"user": {}
}
}
```
</details>
To get a better view of these numbers, [Netdata](https://github.com/netdata/netdata) (with python.d plugin) is a great option:
1. Edit related configuration file (`sudo /etc/netdata/edit-config python.d/go_expvar.conf`)
2. Take the following configuration file as an example:
<details><summary>点击查看</summary><br>
```
xray:
name: 'xray'
update_every: 2
url: 'http://127.0.0.1:11111/debug/vars'
collect_memstats: false
extra_charts:
- id: 'inbounds'
options:
name: 'inbounds'
title: 'Xray System Inbounds'
units: bytes
family: xray
context: xray.inbounds
chart_type: line
lines:
- expvar_key: stats.inbound.tproxy_tcp_inbound.downlink
id: 'tcp.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.tproxy_udp_inbound.downlink
id: 'udp.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.http_inbound.downlink
id: 'http.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.https_inbound.downlink
id: 'https.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.socks_inbound.downlink
id: 'socks.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.tproxy_tcp_inbound.uplink
id: 'tcp.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.tproxy_udp_inbound.uplink
id: 'udp.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.http_inbound.uplink
id: 'http.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.https_inbound.uplink
id: 'https.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.inbound.socks_inbound.uplink
id: 'socks.uplink'
algorithm: incremental
expvar_type: int
- id: 'outbounds'
options:
name: 'outbounds'
title: 'Xray System Outbounds'
units: bytes
family: xray
context: xray.outbounds
chart_type: line
lines:
- expvar_key: stats.outbound.tcp_outbound.downlink
id: 'tcp.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.outbound.udp_outbound.downlink
id: 'udp.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.outbound.direct.downlink
id: 'direct.downlink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.outbound.tcp_outbound.uplink
id: 'tcp.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.outbound.udp_outbound.uplink
id: 'udp.uplink'
algorithm: incremental
expvar_type: int
- expvar_key: stats.outbound.direct.uplink
id: 'direct.uplink'
algorithm: incremental
expvar_type: int
- id: 'observatory'
options:
name: 'observatory'
title: 'Xray Observatory Metrics'
units: milliseconds
family: xray
context: xray.observatory
chart_type: line
lines:
- expvar_key: observatory.tcp_outbound.delay
id: tcp
expvar_type: int
- expvar_key: observatory.udp_outbound.delay
id: udp
expvar_type: int
```
</details>
And you will get a nice plot like this:
![160428235-2988bf69-5d6c-41ec-8267-1bd512508aa8](https://github.com/chika0801/Xray-docs-next/assets/88967758/455e88ce-ced2-4593-a9fa-425bb293215b)
### Additional
Maybe reusing the empty object `stats` in config file is better than adding `metrics` here?
**Edit:** removed prometheus related things and added usage about expvars