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Co-authored-by: Marcus Efraimsson <marcus.efraimsson@gmail.com>

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Co-authored-by: Marcus Efraimsson <marcus.efraimsson@gmail.com>
parent 07f81789
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name: Filter variables with regex name: Filter variables with regex
- link: /variables/repeat-panels-or-rows/ - link: /variables/repeat-panels-or-rows/
name: Repeat panels or rows name: Repeat panels or rows
- link: /variables/chained-variables/
name: Chained variables
- name: What's new in Grafana - name: What's new in Grafana
link: /whatsnew/ link: /whatsnew/
children: children:
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title = "Chained variables"
keywords = ["grafana", "templating", "variable", "nested", "chained", "linked"]
type = "docs"
[menu.docs]
weight = 600
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# Chained variables
_Chained variables_, also called _linked variables_ or _nested variables_, are query variables with one or more other variables in their variable query. This page explains how chained variables work and provides links to example dashboards that use chained variables.
Chained variable queries are different for every data source, but the premise is the same for all. You can use chained variable queries in any data source that allows them.
Extremely complex linked templated dashboards are possible, 5 or 10 levels deep. Technically, there is no limit to how deep or complex you can go, but the more links you have, the greater the query load.
## Grafana Play dashboard examples
The following Grafana Play dashboards contain fairly simple chained variables, only two layers deep. To view the variables and their settings, click **Dashboard settings** (gear icon) and then click **Variables**. Both examples are expanded in the following section.
- [Graphite Templated Nested](https://play.grafana.org/d/000000056/graphite-templated-nested?orgId=1&var-app=country&var-server=All&var-interval=1h)
- [InfluxDB Templated](https://play.grafana.org/d/000000002/influxdb-templated?orgId=1)
## Examples explained
Variables are useful to reuse dashboards, dynamically change what is shown in dashboards. Chained variables are especially useful to filter what you see.
Create parent/child relationship in variable, sort of a tree structure where you can select different levels of filters.
The following sections explain the linked examples in the dashboards above in depth and builds on them. While the examples are data source-specific, the concepts can be applied broadly.
### Graphite example
In this example, you have several applications. Each application has a different subset of servers. It is based on the [Graphite Templated Nested](https://play.grafana.org/d/000000056/graphite-templated-nested?orgId=1&var-app=country&var-server=All&var-interval=1h).
Now, you could make separate variables for each metric source, but then you have to know which server goes with which app. A better solution is to use one variable to filter another. In this example, when the user changes the value of the `app` variable, it changes the dropdown options returned by the `server` variable. Both variables use the **Multi-value** option and **Include all option**, allowing users to select some or all options presented at any time.
#### app variable
The query for this variable basically says, "Give me all the applications that exist."
```
apps.*
```
The values returned are `backend`, `country`, `fakesite`, and `All`.
#### server variable
The query for this variable basically says, "Give me all servers for the currently chosen application."
```
apps.$app.*
```
If the user selects `backend`, then the query changes to:
```
apps.backend.*
```
The query returns all servers associated with `backend`, including `backend_01`, `backend_02`, and so on.
If the user selects `fakesite`, then the query changes to:
```
apps.fakesite.*
```
The query returns all servers associated with `fakesite`, including `web_server_01`, `web_server_02`, and so on.
#### More variables
> **Note:** This example is theoretical. The Graphite server used in the example does not contain CPU metrics.
The dashboard stops at two levels, but you could keep going. For example, if you wanted to get CPU metrics for selected servers, you could copy the `server` variable and extend the query so that it reads:
```
apps.$app.$server.cpu.*
```
This query basically says, "Show me the CPU metrics for the selected server."
Depending on what variable options the user selects, you could get queries like:
```
apps.backend.backend_01.cpu.*
apps.{backend.backend_02,backend_03}.cpu.*
apps.fakesite.web_server_01.cpu.*
```
### InfluxDB example
In this example, you have several data centers. Each data center has a different subset of hosts. It is based on the [InfluxDB Templated](https://play.grafana.org/d/000000002/influxdb-templated?orgId=1).
In this example, when the user changes the value of the `datacenter` variable, it changes the dropdown options returned by the `host` variable. The `host` variable uses the **Multi-value** option and **Include all option**, allowing users to select some or all options presented at any time. The `datacenter` does not use either option, so you can only select one data center at a time.
#### datacenter variable
The query for this variable basically says, "Give me all the data centers that exist."
```
SHOW TAG VALUES WITH KEY = "datacenter"
```
The values returned are `America`, `Africa`, `Asia`, and `Europe`.
#### host variable
The query for this variable basically says, "Give me all hosts for the currently chosen data center."
```
SHOW TAG VALUES WITH KEY = "hostname" WHERE "datacenter" =~ /^$datacenter$/
```
If the user selects `America`, then the query changes to:
```
SHOW TAG VALUES WITH KEY = "hostname" WHERE "datacenter" =~ /^America/
```
The query returns all servers associated with `America`, including `server1`, `server2`, and so on.
If the user selects `Europe`, then the query changes to:
```
SHOW TAG VALUES WITH KEY = "hostname" WHERE "datacenter" =~ /^Europe/
```
The query returns all servers associated with `Europe`, including `server3`, `server4`, and so on.
#### More variables
> **Note:** This example is theoretical. The InfluxDB server used in the example does not contain CPU metrics.
The dashboard stops at two levels, but you could keep going. For example, if you wanted to get CPU metrics for selected hosts, you could copy the `host` variable and extend the query so that it reads:
```
SHOW TAG VALUES WITH KEY = "cpu" WHERE "datacenter" =~ /^$datacenter$/ AND "host" =~ /^$host$/
```
This query basically says, "Show me the CPU metrics for the selected host."
Depending on what variable options the user selects, you could get queries like:
```bash
SHOW TAG VALUES WITH KEY = "cpu" WHERE "datacenter" =~ /^America/ AND "host" =~ /^server2/
SHOW TAG VALUES WITH KEY = "cpu" WHERE "datacenter" =~ /^Africa/ AND "host" =~ /^server/7/
SHOW TAG VALUES WITH KEY = "cpu" WHERE "datacenter" =~ /^Europe/ AND "host" =~ /^server3+server4/
```
## Best practices and tips
The following practices will make your dashboards and variables easier to use.
### Creating new linked variables
- Chaining variables create parent/child dependencies. You can envision them as a ladder or a tree.
- The easiest way to create a new chained variable is to copy the variable that you want to base the new one on. In the variable list, click the **Duplicate variable** icon to the right of the variable entry to create a copy. You can then add on to the query for the parent variable.
- New variables created this way appear at the bottom of the list. You might need to drag it to a different position in the list to get it into a logical order.
### Variable order
You can change the orders of variables in the dashboard variable list by clicking the up and down arrows on the right side of each entry. Grafana lists variable dropdowns left to right according to this list, with the variable at the top on the far left.
- List variables that do not have dependencies at the top, before their child variables.
- Each variable should follow the one it is dependent on.
- Remember there is no indication in the UI of which variables have dependency relationships. List the variables in a logical order to make it easy on other users (and yourself).
### Complexity consideration
The more layers of dependency you have in variables, the longer it will take to update dashboards after you change variables.
For example, if you have a series of four linked variables (country, region, server, metric) and you change a root variable value (country), then Grafana must run queries for all the dependent variables before it updates the visualizations in the dashboard.
...@@ -12,11 +12,11 @@ weight = 100 ...@@ -12,11 +12,11 @@ weight = 100
# Templates and variables # Templates and variables
A variable is a placeholder for a value. You can use variables in metric queries and in panel titles. So when you change 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. the value, using the drop-down list at the top of the dashboard, your panel's metric queries will change to reflect the new value.
Variables allow you to create more interactive and dynamic dashboards. Instead of hard-coding things like server, application, Variables allow you to create more interactive and dynamic dashboards. Instead of hard-coding things like server, application,
and sensor names in your metric queries, you can use variables in their place. Variables are displayed as dropdown lists at the top of and sensor names in your metric queries, you can use variables in their place. Variables are displayed as drop-down lists at the top of
the dashboard. These dropdowns make it easy to change the data being displayed in your dashboard. the dashboard. These drop-downs make it easy to change the data being displayed in your dashboard.
{{< docs-imagebox img="/img/docs/v50/variables_dashboard.png" >}} {{< docs-imagebox img="/img/docs/v50/variables_dashboard.png" >}}
...@@ -80,6 +80,8 @@ Query variables allow you to write a data source query that might return a list ...@@ -80,6 +80,8 @@ Query variables allow you to write a data source query that might return a list
For instructions, refer to [Add a query variable]({{< relref "add-query-variable.md" >}}). For instructions, refer to [Add a query variable]({{< relref "add-query-variable.md" >}}).
Queries can contain other variables. For more information, refer to [Chained variables]({{< relref "chained-variables.md" >}}).
### Custom ### Custom
Define the variable options manually using a comma-separated list. Define the variable options manually using a comma-separated list.
...@@ -113,3 +115,7 @@ summarize($myinterval, sum, false) ...@@ -113,3 +115,7 @@ summarize($myinterval, sum, false)
### Ad hoc filters ### Ad hoc filters
Ad hoc filter variables only work with InfluxDB, Prometheus, and Elasticsearch data sources. This variable type allows you to add key/value filters that are automatically added to all metric queries that use the specified data source. Ad hoc filter variables only work with InfluxDB, Prometheus, and Elasticsearch data sources. This variable type allows you to add key/value filters that are automatically added to all metric queries that use the specified data source.
## Variable best practices
- Variable drop-down lists are displayed in the order they are listed in the variable list in Dashboard settings. Consider putting the variables that you will change often at the top, so they will be shown first (far left on the dashboard).
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