feat(observe): 现成 OpenObserve 仪表盘(QPS/P95/分位/错误率) + 导入说明

dashboard-api-metrics.json: v8 schema 4 面板,已在 v0.91.1 实例 test-import 验证可用。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
guke
2026-07-06 13:39:39 +08:00
parent 1f97b19d21
commit 964032d16f
2 changed files with 316 additions and 0 deletions
+15
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@@ -57,6 +57,21 @@ SELECT route,
FROM app_requests GROUP BY route ORDER BY err_pct DESC
```
## 一键导入现成仪表盘(QPS / P95 / 分位 / 错误率)
备好了 [dashboard-api-metrics.json](dashboard-api-metrics.json),4 个面板:各接口每分钟请求数(QPS 源)、
P95 耗时折线、P50/P95/P99 分位表、5xx 错误率表。
- **UI 导入**Dashboards → 右上 **Import** → 选该 JSON 文件 → Import(每次导入新建,不覆盖)。
- **或 API 导入**
```bash
curl -u admin@shaguabijia.local:Complexpass#123 -H 'Content-Type: application/json' \
-X POST 'http://localhost:5080/api/default/dashboards?folder=default' \
--data-binary @deploy/openobserve/dashboard-api-metrics.json
```
导入后进仪表盘,右上角时间调到「最近 15 分钟 / 1 小时」、开自动刷新即可。低流量下 QPS 面板看「每分钟请求数」比「每秒」直观。
## 停止 / 清数据
```bash
@@ -0,0 +1,301 @@
{
"version": 8,
"title": "接口监控 (QPS / 耗时 / 错误率)",
"description": "app-server 接口 QPS、P50/P95/P99 耗时、5xx 错误率。数据流 app_requests。",
"role": "",
"tabs": [
{
"tabId": "default",
"name": "Default",
"panels": [
{
"id": "panel_qps",
"type": "line",
"title": "各接口 每分钟请求数 (QPS 源)",
"description": "",
"config": {
"show_legends": true,
"legends_position": null,
"decimals": 2.0,
"axis_border_show": false,
"base_map": null,
"map_view": null
},
"queryType": "sql",
"queries": [
{
"query": "SELECT histogram(_timestamp, '1 minute') as ts, route, count(*) as reqs FROM app_requests GROUP BY ts, route ORDER BY ts",
"vrlFunctionQuery": "",
"customQuery": true,
"fields": {
"stream": "app_requests",
"stream_type": "logs",
"x": [
{
"label": "ts",
"alias": "ts",
"column": "ts",
"color": null,
"sortBy": "ASC"
}
],
"y": [
{
"label": "reqs",
"alias": "reqs",
"column": "reqs",
"color": null
}
],
"z": [],
"breakdown": [
{
"label": "route",
"alias": "route",
"column": "route",
"color": null
}
],
"filter": {
"filterType": "group",
"logicalOperator": "AND",
"conditions": []
}
},
"config": {
"promql_legend": "",
"layer_type": "scatter",
"weight_fixed": 1.0
}
}
],
"layout": {
"x": 0,
"y": 0,
"w": 24,
"h": 9,
"i": 1
}
},
{
"id": "panel_p95",
"type": "line",
"title": "各接口 P95 耗时 (ms)",
"description": "",
"config": {
"show_legends": true,
"legends_position": null,
"decimals": 2.0,
"axis_border_show": false,
"base_map": null,
"map_view": null
},
"queryType": "sql",
"queries": [
{
"query": "SELECT histogram(_timestamp, '1 minute') as ts, route, approx_percentile_cont(duration_ms, 0.95) as p95_ms FROM app_requests GROUP BY ts, route ORDER BY ts",
"vrlFunctionQuery": "",
"customQuery": true,
"fields": {
"stream": "app_requests",
"stream_type": "logs",
"x": [
{
"label": "ts",
"alias": "ts",
"column": "ts",
"color": null,
"sortBy": "ASC"
}
],
"y": [
{
"label": "p95_ms",
"alias": "p95_ms",
"column": "p95_ms",
"color": null
}
],
"z": [],
"breakdown": [
{
"label": "route",
"alias": "route",
"column": "route",
"color": null
}
],
"filter": {
"filterType": "group",
"logicalOperator": "AND",
"conditions": []
}
},
"config": {
"promql_legend": "",
"layer_type": "scatter",
"weight_fixed": 1.0
}
}
],
"layout": {
"x": 24,
"y": 0,
"w": 24,
"h": 9,
"i": 2
}
},
{
"id": "panel_pctl",
"type": "table",
"title": "各接口 耗时分位 P50/P95/P99 (ms)",
"description": "",
"config": {
"show_legends": true,
"legends_position": null,
"decimals": 2.0,
"axis_border_show": false,
"base_map": null,
"map_view": null
},
"queryType": "sql",
"queries": [
{
"query": "SELECT route, approx_percentile_cont(duration_ms,0.5) as p50, approx_percentile_cont(duration_ms,0.95) as p95, approx_percentile_cont(duration_ms,0.99) as p99, count(*) as cnt FROM app_requests GROUP BY route ORDER BY p95 DESC",
"vrlFunctionQuery": "",
"customQuery": true,
"fields": {
"stream": "app_requests",
"stream_type": "logs",
"x": [
{
"label": "route",
"alias": "route",
"column": "route",
"color": null
}
],
"y": [
{
"label": "p50",
"alias": "p50",
"column": "p50",
"color": null
},
{
"label": "p95",
"alias": "p95",
"column": "p95",
"color": null
},
{
"label": "p99",
"alias": "p99",
"column": "p99",
"color": null
},
{
"label": "cnt",
"alias": "cnt",
"column": "cnt",
"color": null
}
],
"z": [],
"breakdown": [],
"filter": {
"filterType": "group",
"logicalOperator": "AND",
"conditions": []
}
},
"config": {
"promql_legend": "",
"layer_type": "scatter",
"weight_fixed": 1.0
}
}
],
"layout": {
"x": 0,
"y": 9,
"w": 24,
"h": 9,
"i": 3
}
},
{
"id": "panel_err",
"type": "table",
"title": "各接口 错误率 (5xx %)",
"description": "",
"config": {
"show_legends": true,
"legends_position": null,
"decimals": 2.0,
"axis_border_show": false,
"base_map": null,
"map_view": null
},
"queryType": "sql",
"queries": [
{
"query": "SELECT route, count(*) FILTER (WHERE status >= 500) * 100.0 / count(*) as err_pct, count(*) as cnt FROM app_requests GROUP BY route ORDER BY err_pct DESC",
"vrlFunctionQuery": "",
"customQuery": true,
"fields": {
"stream": "app_requests",
"stream_type": "logs",
"x": [
{
"label": "route",
"alias": "route",
"column": "route",
"color": null
}
],
"y": [
{
"label": "err_pct",
"alias": "err_pct",
"column": "err_pct",
"color": null
},
{
"label": "cnt",
"alias": "cnt",
"column": "cnt",
"color": null
}
],
"z": [],
"breakdown": [],
"filter": {
"filterType": "group",
"logicalOperator": "AND",
"conditions": []
}
},
"config": {
"promql_legend": "",
"layer_type": "scatter",
"weight_fixed": 1.0
}
}
],
"layout": {
"x": 24,
"y": 9,
"w": 24,
"h": 9,
"i": 4
}
}
]
}
],
"variables": {
"list": []
}
}