The Singlestat Panel allows you to show the one main summary stat of a SINGLE series. It reduces the series into a single number (by looking at the max, min, average, or sum of values in the series). Singlestat also provides thresholds to color the stat or the Panel background. It can also translate the single number into a text value, and show a sparkline summary of the series.
The singlestat panel has a normal query editor to allow you define your exact metric queries like many other Panels. Through the Options tab, you can access the Singlestat-specific functionality.
1.`Big Value`: Big Value refers to how we display the main stat for the Singlestat Panel. This is always a single value that is displayed in the Panel in between two strings, `Prefix` and `Suffix`. The single number is calculated by choosing a function (min,max,average,current,total) of your metric query. This functions reduces your query into a single numeric value.
3.`Values`: The Value fields let you set the function (min, max, average, current, total, first, delta, range) that your entire query is reduced into a single value with. You can also set the font size of the Value field and font-size (as a %) of the metric query that the Panel is configured with. This reduces the entire query into a single summary value that is displayed.
*`min` - The smallest value in the series
*`max` - The largest value in the series
*`average` - The average of all the non-null values in the series
*`current` - The last value in the series. If the series ends on null the previous value will be used.
*`total` - The sum of all the non-null values in the series
*`delta` - The total incremental increase (of a counter) in the series. An attempt is made to account for counter resets, but this will only be accurate for single instance metrics. Used to show total counter increase in time series.
3.`Thresholds`: Change the background and value colors dynamically within the panel, depending on the Singlestat value. The threshold field accepts **2 comma-separated** values which represent 3 ranges that correspond to the three colors directly to the right. For example: if the thresholds are 70, 90 then the first color represents <70,thesecondcolorrepresentsbetween70and90andthethirdcolorrepresents> 90.
5.`Invert order`: This link toggles the threshold color order.</br>For example: Green, Orange, Red (<imgclass="no-shadow"src="/img/docs(v1/gyr.png">) will become Red, Orange, Green (<imgclass="no-shadow"src="/img/docs/v1/ryg.png">).
Sparklines are a great way of seeing the historical data related to the summary stat, providing valuable context at a glance. Sparklines act differently than traditional Graph Panels and do not include x or y axis, coordinates, a legend, or ability to interact with the graph.
Value to text mapping allows you to translate the value of the summary stat into explicit text. The text will respect all styling, thresholds and customization defined for the value. This can be useful to translate the number of the main Singlestat value into a context-specific human-readable word or message.
Grafana 2.5 introduced stricter checking for multiple-series on singlestat panels. In previous versions, the panel logic did not verify that only a single series was used, and instead, displayed the first series encountered. Depending on your data source, this could have lead to inconsistent data being shown and/or a general confusion about which metric was being displayed.
To fix your singlestat panel:
- Edit your panel by clicking the Panel Title and selecting *Edit*.
- Do you have multiple queries in the metrics tab?
- Solution: Select a single query to visualize. You can toggle whether a query is visualized by clicking the eye icon on each line. If the error persists, continue to the next solution.
- Solution: This likely means your query is returning multiple series. You will want to reduce this down to a single series. This can be accomplished in many ways, depending on your data source. Some common practices include summing the series, averaging or any number of other functions. Consult the documentation for your data source for additional information.
