# Metrics 更直接(希望更好)的统计导出方式。 ## 相关配置 在基础配置中增加 metrics ```json "metrics": { "tag": "Metrics", "listen": "127.0.0.1:11111" } ``` > `tag`: string 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。 > `listen`: string 更简单的方法,直接监听一个地址端口提供服务。 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。 ## 使用方法 ### pprof 访问 `http://127.0.0.1:11111/debug/pprof/` 或者使用 go tool pprof 进行调试。 反馈内存占用过多/内存泄露问题需要提供 `/debug/pprof/heap` 的文件 ### expvars 访问 `http://127.0.0.1:11111/debug/vars` 包含的变量: * `stats` 包括所有的 inbound outbound user 数据 * `observatory` 包含了 observatory 观测结果 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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```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": {} } } ```
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): 1. 编辑相关配置文件 (`sudo /etc/netdata/edit-config python.d/go_expvar.conf`) 2. 使用下面这样的实力配置:
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``` 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 ```
你可以得到类似这样的结果: ![160428235-2988bf69-5d6c-41ec-8267-1bd512508aa8](https://github.com/chika0801/Xray-docs-next/assets/88967758/455e88ce-ced2-4593-a9fa-425bb293215b)