Using InfluxDB in Grafana
Grafana ships with very feature rich data source plugin for InfluxDB. Supporting a feature rich query editor, annotation and templating queries.
Adding the data source
- Open the side menu by clicking the Grafana icon in the top header.
- In the side menu under the
Dashboardslink you should find a link named
- Click the
+ Add data sourcebutton in the top header.
- Select InfluxDB from the Type dropdown.
NOTE: If you’re not seeing the
Data Sourceslink in your side menu it means that your current user does not have the
Adminrole for the current organization.
|Name||The data source name. This is how you refer to the data source in panels & queries.|
|Default||Default data source means that it will be pre-selected for new panels.|
|Url||The http protocol, ip and port of you influxdb api (influxdb api port is by default 8086)|
|Access||Server (default) = URL needs to be accessible from the Grafana backend/server, Browser = URL needs to be accessible from the browser.|
|Database||Name of your influxdb database|
|User||Name of your database user|
|Password||Database user’s password|
Access mode controls how requests to the data source will be handled. Server should be the preferred way if nothing else stated.
Server access mode (Default)
All requests will be made from the browser to Grafana backend/server which in turn will forward the requests to the data source and by that circumvent possible Cross-Origin Resource Sharing (CORS) requirements. The URL needs to be accessible from the grafana backend/server if you select this access mode.
Browser access mode
All requests will be made from the browser directly to the data source and may be subject to Cross-Origin Resource Sharing (CORS) requirements. The URL needs to be accessible from the browser if you select this access mode.
Min time interval
A lower limit for the auto group by time interval. Recommended to be set to write frequency, for example
1m if your data is written every minute. This option can also be overridden/configured in a dashboard panel under data source options. It’s important to note that this value needs to be formatted as a number followed by a valid time identifier, e.g.
1m (1 minute) or
30s (30 seconds). The following time identifiers are supported:
You find the InfluxDB editor in the metrics tab in Graph or Singlestat panel’s edit mode. You enter edit mode by clicking the panel title, then edit. The editor allows you to select metrics and tags.
Filter data (WHERE)
To add a tag filter click the plus icon to the right of the
WHERE condition. You can remove tag filters by clicking on the tag key and select
--remove tag filter--.
You can type in regex patterns for metric names or tag filter values, be sure to wrap the regex pattern in forward slashes (
/). Grafana will automatically adjust the filter tag condition to use the InfluxDB regex match condition operator (
Field & Aggregation functions
SELECT row you can specify what fields and functions you want to use. If you have a group by time you need an aggregation function. Some functions like derivative require an aggregation function. The editor tries simplify and unify this part of the query. For example:
The above will generate the following InfluxDB
SELECT derivative(mean("value"), 10s) /10 AS "REQ/s" FROM ....
Select multiple fields
Use the plus button and select Field > field to add another SELECT clause. You can also specify an asterix
* to select all fields.
To group by a tag click the plus icon at the end of the GROUP BY row. Pick a tag from the dropdown that appears. You can remove the group by by clicking on the
tag and then click on the x icon.
Text Editor Mode (RAW)
You can switch to raw query mode by clicking hamburger icon and then
Switch editor mode.
If you use Raw Query be sure your query at minimum have
WHERE $timeFilterAlso please always have a group by time and an aggregation function, otherwise InfluxDB can easily return hundreds of thousands of data points that will hang the browser.
- $m = replaced with measurement name
- $measurement = replaced with measurement name
- $col = replaced with column name
- $tag_exampletag = replaced with the value of the
exampletagtag. The syntax is
$tag_yourTagName(must start with
$tag_). To use your tag as an alias in the ALIAS BY field then the tag must be used to group by in the query.
- You can also use [[tag_hostname]] pattern replacement syntax. For example, in the ALIAS BY field using this text
Host: [[tag_hostname]]would substitute in the
hostnametag value for each legend value and an example legend value would be:
Table query / raw data
You can remove the group by time by clicking on the
time part and then the
x icon. You can change the option
Format As to
Table if you want to show raw data in the
Instead of hard-coding things like server, application and sensor name in you metric queries you can use variables in their place. Variables are shown as dropdown select boxes at the top of the dashboard. These dropdowns makes it easy to change the data being displayed in your dashboard.
Checkout the Templating documentation for an introduction to the templating feature and the different types of template variables.
If you add a template variable of the type
Query you can write a InfluxDB exploration (meta data) query. These queries can return things like measurement names, key names or key values.
For example you can have a variable that contains all values for tag
hostname if you specify a query like this in the templating variable Query setting.
SHOW TAG VALUES WITH KEY = "hostname"
You can also create nested variables. For example if you had another variable, for example
region. Then you could have the hosts variable only show hosts from the current selected region with a query like this:
SHOW TAG VALUES WITH KEY = "hostname" WHERE region =~ /$region/
You can fetch key names for a given measurement.
SHOW TAG KEYS [FROM <measurement_name>]
If you have a variable with key names you can use this variable in a group by clause. This will allow you to change group by using the variable dropdown at the top of the dashboard.
Using variables in queries
There are two syntaxes:
SELECT mean("value") FROM "logins" WHERE "hostname" =~ /^$host$/ AND $timeFilter GROUP BY time($__interval), "hostname"
SELECT mean("value") FROM "logins" WHERE "hostname" =~ /^[[host]]$/ AND $timeFilter GROUP BY time($__interval), "hostname"
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 a word. When the Multi-value or Include all value options are enabled, Grafana converts the labels from plain text to a regex compatible string. Which means you have to use
=~ instead of
Example Dashboard: InfluxDB Templated Dashboard
Ad hoc filters variable
InfluxDB supports the special
Ad hoc filters variable type. This variable allows you to specify any number of key/value filters on the fly. These filters will automatically be applied to all your InfluxDB queries.
Annotations allows you to overlay rich event information on top of graphs. You add annotation queries via the Dashboard menu / Annotations view.
An example query:
SELECT title, description from events WHERE $timeFilter order asc
For InfluxDB you need to enter a query like in the above example. You need to have the
where $timeFilter part. If you only select one column you will not need to enter anything in the column mapping fields. The Tags field can be a comma separated string.
Configure the Datasource with Provisioning
It’s now possible to configure datasources using config files with Grafana’s provisioning system. You can read more about how it works and all the settings you can set for datasources on the provisioning docs page
Here are some provisioning examples for this datasource.
apiVersion: 1 datasources: - name: InfluxDB type: influxdb access: proxy database: site user: grafana password: grafana url: http://localhost:8086