Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.
Variables
Variables allows for more interactive and dynamic dashboards. Instead of hard-coding things like server, application and sensor name in your metric queries you can use variables in their place. Variables are shown as dropdown select boxes at the top of the dashboard. These dropdowns make it easy to change the data being displayed in your dashboard.
What is a variable?
A variable is a placeholder for a value. You can use variables in metric queries and in panel titles. So when you change the value, using the dropdown at the top of the dashboard, your panel’s metric queries will change to reflect the new value.
Interpolation
Panel titles and metric queries can refer to variables using two different syntaxes:
$varname
Example: apps.frontend.$server.requests.count[[varname]]
Example: apps.frontend.[[server]].requests.count
Why two ways? The first syntax is easier to read and write but does not allow you to use a variable in the middle of word. Use
the second syntax in expressions like my.server[[serverNumber]].count
.
Before queries are sent to your data source the query is interpolated, meaning the variable is replaced with its current value. During interpolation the variable value might be escaped in order to conform to the syntax of the query language and where it is used. For example, a variable used in a regex expression in an InfluxDB or Prometheus query will be regex escaped. Read the data source specific documentation article for details on value escaping during interpolation.
Advanced Formatting Options
The formatting of the variable interpolation depends on the data source but there are some situations where you might want to change the default formatting. For example, the default for the MySql datasource is to join multiple values as comma-separated with quotes: 'server01','server02'
. In some cases you might want to have a comma-separated string without quotes: server01,server02
. This is now possible with the advanced formatting options.
Syntax: ${var_name:option}
Glob
Formats multi-value variable into a glob (for Graphite queries).
servers = ['test1', 'test2']
String to interpolate: '${servers:glob}'
Interpolation result: '{test1,test2}'
Regex
Formats multi-value variable into a regex string.
servers = ['test1.', 'test2']
String to interpolate: '${servers:regex}'
Interpolation result: '(test1\.|test2)'
Pipe
Formats multi-value variable into a pipe-separated string.
servers = ['test1.', 'test2']
String to interpolate: '${servers:pipe}'
Interpolation result: 'test1.|test2'
Csv
Formats multi-value variable as a comma-separated string.
servers = ['test1', 'test2']
String to interpolate: '${servers:csv}'
Interpolation result: 'test1,test2'
Json
Formats multi-value variable as a comma-separated string.
servers = ['test1', 'test2']
String to interpolate: '${servers:json}'
Interpolation result: '["test1", "test2"]'
Distributed
Formats multi-value variable in custom format for OpenTSDB.
servers = ['test1', 'test2']
String to interpolate: '${servers:distributed}'
Interpolation result: 'test1,servers=test2'
Lucene
Formats multi-value variable in lucene format for Elasticsearch.
servers = ['test1', 'test2']
String to interpolate: '${servers:lucene}'
Interpolation result: '("test1" OR "test2")'
Percentencode
Formats single & multi valued variables for use in URL parameters.
servers = ['foo()bar BAZ', 'test2']
String to interpolate: '${servers:percentencode}'
Interpolation result: 'foo%28%29bar%20BAZ%2Ctest2'
Test the formatting options on the Grafana Play site.
If any invalid formatting option is specified, then glob
is the default/fallback option.
An alternative syntax (that might be deprecated in the future) is [[var_name:option]]
.
Variable options
A variable is presented as a dropdown select box at the top of the dashboard. It has a current value and a set of options. The options is the set of values you can choose from.
Adding a variable
You add variables via Dashboard cogs menu > Templating. This opens up a list of variables and a New
button to create a new variable.
Basic variable options
Option | Description |
---|---|
Name | The name of the variable, this is the name you use when you refer to your variable in your metric queries. Must be unique and contain no white-spaces. |
Label | The name of the dropdown for this variable. |
Hide | Options to hide the dropdown select box. |
Type | Defines the variable type. |
Variable types
Type | Description |
---|---|
Query | This variable type allows you to write a data source query that usually returns a list of metric names, tag values or keys. For example, a query that returns a list of server names, sensor ids or data centers. |
Interval | This variable can represent time spans. Instead of hard-coding a group by time or date histogram interval, use a variable of this type. |
Datasource | This type allows you to quickly change the data source for an entire Dashboard. Useful if you have multiple instances of a data source in for example different environments. |
Custom | Define the variable options manually using a comma separated list. |
Constant | Define a hidden constant. Useful for metric path prefixes for dashboards you want to share. During dashboard export, constant variables will be made into an import option. |
Ad hoc filters | Very special kind of variable that only works with some data sources, InfluxDB & Elasticsearch currently. It allows you to add key/value filters that will automatically be added to all metric queries that use the specified data source. |
Text box | This variable type will display as a free text input field with an optional default value. |
Query options
This variable type is the most powerful and complex as it can dynamically fetch its options using a data source query.
Option | Description |
---|---|
Data source | The data source target for the query. |
Refresh | Controls when to update the variable option list (values in the dropdown). On Dashboard Load will slow down dashboard load as the variable query needs to be completed before dashboard can be initialized. Set this only to On Time Range Change if your variable options query contains a time range filter or is dependent on dashboard time range. |
Query | The data source specific query expression. |
Regex | Regex to filter or capture specific parts of the names return by your data source query. Optional. |
Sort | Define sort order for options in dropdown. Disabled means that the order of options returned by your data source query will be used. |
Using regex to filter/modify values in the Variable dropdown
Using the Regex Query Option, you filter the list of options returned by the Variable query or modify the options returned.
Examples of filtering on the following list of options:
backend_01
backend_02
backend_03
backend_04
Filter so that only the options that end with 01
or 02
are returned:
Regex:
/.*[01|02]/
Result:
backend_01
backend_02
Filter and modify the options using a regex capture group to return part of the text:
Regex:
/.*(01|02)/
Result:
01
02
Filter and modify - Prometheus Example
List of options:
up{instance="demo.robustperception.io:9090",job="prometheus"} 1 1521630638000
up{instance="demo.robustperception.io:9093",job="alertmanager"} 1 1521630638000
up{instance="demo.robustperception.io:9100",job="node"} 1 1521630638000
Regex:
/.*instance="([^"]*).*/
Result:
demo.robustperception.io:9090
demo.robustperception.io:9093
demo.robustperception.io:9100
Query expressions
The query expressions are different for each data source.
- Graphite templating queries
- Elasticsearch templating queries
- InfluxDB templating queries
- Prometheus templating queries
- OpenTSDB templating queries
One thing to note is that query expressions can contain references to other variables and in effect create linked variables. Grafana will detect this and automatically refresh a variable when one of it’s containing variables change.
Selection Options
Option | Description |
---|---|
Multi-value | If enabled, the variable will support the selection of multiple options at the same time. |
Include All option | Add a special All option whose value includes all options. |
Custom all value | By default the All value will include all options in combined expression. This can become very long and can have performance problems. Many times it can be better to specify a custom all value, like a wildcard regex. To make it possible to have custom regex, globs or lucene syntax in the Custom all value option it is never escaped so you will have to think about what is a valid value for your data source. |
Formatting multiple values
Interpolating a variable with multiple values selected is tricky as it is not straight forward how to format the multiple values to into a string that is valid in the given context where the variable is used. Grafana tries to solve this by allowing each data source plugin to inform the templating interpolation engine what format to use for multiple values.
Note that the Custom all value option on the variable will have to be left blank for Grafana to format all values into a single string.
Graphite, for example, uses glob expressions. A variable with multiple values would, in this case, be interpolated as {host1,host2,host3}
if
the current variable value was host1, host2 and host3.
InfluxDB and Prometheus uses regex expressions, so the same variable
would be interpolated as (host1|host2|host3)
. Every value would also be regex escaped if not, a value with a regex control character would
break the regex expression.
Elasticsearch uses lucene query syntax, so the same variable would, in this case, be formatted as ("host1" OR "host2" OR "host3")
. In this case every value
needs to be escaped so that the value can contain lucene control words and quotation marks.
Formatting troubles
Automatic escaping & formatting can cause problems and it can be tricky to grasp the logic is behind it. Especially for InfluxDB and Prometheus where the use of regex syntax requires that the variable is used in regex operator context. If you do not want Grafana to do this automatic regex escaping and formatting your only option is to disable the Multi-value or Include All option options.
Value groups/tags
If you have a lot of options in the dropdown for a multi-value variable. You can use this feature to group the values into selectable tags.
Option | Description |
---|---|
Tags query | Data source query that should return a list of tags |
Tag values query | Data source query that should return a list of values for a specified tag key. Use $tag in the query to refer the currently selected tag. |
Interval variables
Use the Interval
type to create a variable that represents a time span (eg. 1m
,1h
, 1d
). There is also a special auto
option that will change depending on the current time range. You can specify how many times the current time range should be divided to calculate the current auto
timespan.
This variable type is useful as a parameter to group by time (for InfluxDB), Date histogram interval (for Elasticsearch) or as a summarize function parameter (for Graphite).
Example using the template variable myinterval
of type Interval
in a graphite function:
summarize($myinterval, sum, false)
Global Built-in Variables
Grafana has global built-in variables that can be used in expressions in the query editor.
Time range variables
Grafana has two built in time range variables in $__from
and $__to
. They are currently always interpolated
as epoch milliseconds. These variables are only available in Grafana v6.0 and above.
The $__interval Variable
This $__interval variable is similar to the auto
interval variable that is described above. It can be used as a parameter to group by time (for InfluxDB, MySQL, Postgres, MSSQL), Date histogram interval (for Elasticsearch) or as a summarize function parameter (for Graphite).
Grafana automatically calculates an interval that can be used to group by time in queries. When there are more data points than can be shown on a graph then queries can be made more efficient by grouping by a larger interval. It is more efficient to group by 1 day than by 10s when looking at 3 months of data and the graph will look the same and the query will be faster. The $__interval
is calculated using the time range and the width of the graph (the number of pixels).
Approximate Calculation: (from - to) / resolution
For example, when the time range is 1 hour and the graph is full screen, then the interval might be calculated to 2m
- points are grouped in 2 minute intervals. If the time range is 6 months and the graph is full screen, then the interval might be 1d
(1 day) - points are grouped by day.
In the InfluxDB data source, the legacy variable $interval
is the same variable. $__interval
should be used instead.
The InfluxDB and Elasticsearch data sources have Group by time interval
fields that are used to hard code the interval or to set the minimum limit for the $__interval
variable (by using the >
syntax -> >10m
).
The $__interval_ms Variable
This variable is the $__interval
variable in milliseconds (and not a time interval formatted string). For example, if the $__interval
is 20m
then the $__interval_ms
is 1200000
.
The $timeFilter or $__timeFilter Variable
The $timeFilter
variable returns the currently selected time range as an expression. For example, the time range interval Last 7 days
expression is time > now() - 7d
.
This is used in the WHERE clause for the InfluxDB data source. Grafana adds it automatically to InfluxDB queries when in Query Editor Mode. It has to be added manually in Text Editor Mode: WHERE $timeFilter
.
The $__timeFilter
is used in the MySQL data source.
The $__name Variable
This variable is only available in the Singlestat panel and can be used in the prefix or suffix fields on the Options tab. The variable will be replaced with the series name or alias.
The $__range Variable
Only available in Grafana v5.3+
Currently only supported for Prometheus data sources. This variable represents the range for the current dashboard. It is calculated by to - from
. It has a millisecond and a second representation called $__range_ms
and $__range_s
.
Repeating Panels
Template variables can be very useful to dynamically change your queries across a whole dashboard. If you want Grafana to dynamically create new panels or rows based on what values you have selected you can use the Repeat feature.
If you have a variable with Multi-value
or Include all value
options enabled you can choose one panel and have Grafana repeat that panel
for every selected value. You find the Repeat feature under the General tab in panel edit mode.
The direction
controls how the panels will be arranged.
By choosing horizontal
the panels will be arranged side-by-side. Grafana will automatically adjust the width
of each repeated panel so that the whole row is filled. Currently, you cannot mix other panels on a row with a repeated
panel.
Set Max per row
to tell grafana how many panels per row you want at most. It defaults to 4 if you don’t set anything.
By choosing vertical
the panels will be arranged from top to bottom in a column. The width of the repeated panels will be the same as of the first panel (the original template) being repeated.
Only make changes to the first panel (the original template). To have the changes take effect on all panels you need to trigger a dynamic dashboard re-build. You can do this by either changing the variable value (that is the basis for the repeat) or reload the dashboard.
Repeating Rows
As seen above with the Panels you can also repeat Rows if you have variables set with Multi-value
or
Include all value
selection option.
To enable this feature you need to first add a new Row using the Add Panel menu. Then by hovering the row title and
clicking on the cog button, you will access the Row Options
configuration panel. You can then select the variable
you want to repeat the row for.
It may be a good idea to use a variable in the row title as well.
Example: Repeated Rows Dashboard
URL state
Variable values are always synced to the URL using the syntax var-<varname>=value
.