Commit 25bdadab by Mohit Nain Committed by GitHub

Fix language in docs/sources/panels/queries.md

* Update docs/sources/panels/queries.md

Co-authored-by: Arve Knudsen <arve.knudsen@gmail.com>
parent 0b5d8187
......@@ -86,13 +86,13 @@ Panel data source query options:
With streaming data, the max data points value is used for the rolling buffer. (Streaming is a continuous flow of data and buffering is a way of dividing the stream into chunks). Loki streams data in the live tailing mode.
- **Min interval -** Sets a minimum limit for the automatically calculated interval, typically the minimum scrape interval. If a data point is saved every 15 seconds, then there's no point in having an interval lower than that. Another use case is set it to a higher minimum than the scrape interval to get more coarse-grained, well-functioning queries.
- **Min interval -** Sets a minimum limit for the automatically calculated interval, typically the minimum scrape interval. If a data point is saved every 15 seconds, then there's no point in having an interval lower than that. Another use case is to set it to a higher minimum than the scrape interval to get more coarse-grained, well-functioning queries.
- **Interval -** The interval is a time span that you can use when aggregating or grouping data points by time.
Grafana automatically calculates an appropriate interval and it can be used as a variable in templated queries. The variable is either in seconds: `$__interval` or in milliseconds: `$__interval_ms`. It is typically used in aggregation functions like sum or average. For example, a Prometheus query using the interval variable: `rate(http_requests_total[$__interval])`.
This automatic interval is calculated based on the width of the graph. If the user zooms out a lot then the interval becomes greater, resulting in a more coarse grained aggregation whereas if the use zooms in then the interval decreases resulting in a more fine grained aggregation.
This automatic interval is calculated based on the width of the graph. If the user zooms out a lot then the interval becomes greater, resulting in a more coarse grained aggregation whereas if the user zooms in then the interval decreases resulting in a more fine grained aggregation.
For more information, refer to [Global variables]({{< relref "../variables/global-variables.md" >}}).
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