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- Queries in Explore have been string based - This PR introduces the use of the DataQuery type to denote all queries handled in Explore - Within Explore all handling of DataQueries is transparent - Modifying DataQueries is left to the datasource - Using `target` as variable names for DataQueries to be consistent with the rest of Grafana
39 lines
1.3 KiB
TypeScript
39 lines
1.3 KiB
TypeScript
import React from 'react';
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const CHEAT_SHEET_ITEMS = [
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{
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title: 'Request Rate',
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expression: 'rate(http_request_total[5m])',
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label:
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'Given an HTTP request counter, this query calculates the per-second average request rate over the last 5 minutes.',
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},
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{
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title: '95th Percentile of Request Latencies',
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expression: 'histogram_quantile(0.95, sum(rate(prometheus_http_request_duration_seconds_bucket[5m])) by (le))',
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label: 'Calculates the 95th percentile of HTTP request rate over 5 minute windows.',
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},
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{
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title: 'Alerts Firing',
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expression: 'sort_desc(sum(sum_over_time(ALERTS{alertstate="firing"}[24h])) by (alertname))',
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label: 'Sums up the alerts that have been firing over the last 24 hours.',
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},
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];
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export default (props: any) => (
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<div>
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<h1>PromQL Cheat Sheet</h1>
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{CHEAT_SHEET_ITEMS.map(item => (
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<div className="cheat-sheet-item" key={item.expression}>
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<div className="cheat-sheet-item__title">{item.title}</div>
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<div
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className="cheat-sheet-item__expression"
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onClick={e => props.onClickExample({ refId: '1', expr: item.expression })}
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>
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<code>{item.expression}</code>
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</div>
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<div className="cheat-sheet-item__label">{item.label}</div>
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</div>
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))}
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</div>
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);
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