@@ -19,21 +19,20 @@ queries through the use of query references.
## Adding the data source
1. Open the side menu by clicking the the Grafana icon in the top header.
1. Open the side menu by clicking the Grafana icon in the top header.
2. In the side menu under the `Dashboards` link you should find a link named `Data Sources`.
3. Click the `+ Add data source` button in the top header.
4. Select `Graphite` from the *Type* dropdown.
> NOTE: If your not seeing the `Data Sources` link in your side menu it means that your current user does not have the `Admin` role for the current organization.
> NOTE: If you're not seeing the `Data Sources` link in your side menu it means that your current user does not have the `Admin` role for the current organization.
Name | Description
------------ | -------------
Name | The data source name, important that this is the same as in Grafana v1.x if you plan to import old dashboards.
Default | Default data source means that it will be pre-selected for new panels.
Url | The http protocol, ip and port of your graphite-web or graphite-api install.
Url | The HTTP protocol, IP, and port of your graphite-web or graphite-api install.
Access | Proxy = access via Grafana backend, Direct = access directly from browser.
Proxy access means that the Grafana backend will proxy all requests from the browser, and send them on to the Data Source. This is useful because it can eliminate CORS (Cross Origin Site Resource) issues, as well as eliminate the need to disseminate authentication details to the Data Source to the browser.
Direct access is still supported because in some cases it may be useful to access a Data Source directly depending on the use case and topology of Grafana, the user, and the Data Source.
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@@ -63,11 +62,11 @@ Some functions like aliasByNode support an optional second argument. To add this
### Nested Queries
You can reference queries by the row “letter” that they’re on (similar to Microsoft Excel). If you add a second query to graph, you can reference the first query simply by typing in #A. This provides an easy and convenient way to build compounded queries.
You can reference queries by the row “letter” that they’re on (similar to Microsoft Excel). If you add a second query to a graph, you can reference the first query simply by typing in #A. This provides an easy and convenient way to build compounded queries.
## Point consolidation
All Graphite metrics are consolidated so that Graphite doesn't return more data points than there are pixels in the graph. By default
All Graphite metrics are consolidated so that Graphite doesn't return more data points than there are pixels in the graph. By default,
this consolidation is done using `avg` function. You can how Graphite consolidates metrics by adding the Graphite consolidateBy function.
> *Notice* This means that legend summary values (max, min, total) cannot be all correct at the same time. They are calculated
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@@ -84,8 +83,8 @@ types of template variables.
### Query variable
The query you specify in the query field should be a metric find type of query. For example a query like `prod.servers.*` will fill the
variable with all possible values that exists in the wildcard position.
The query you specify in the query field should be a metric find type of query. For example, a query like `prod.servers.*` will fill the
variable with all possible values that exist in the wildcard position.
You can also create nested variables that use other variables in their definition. For example
`apps.$app.servers.*` uses the variable `$app` in its query definition.
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
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. Use
the second syntax in expressions like `my.server[[serverNumber]].count`.
## Annotations
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@@ -109,6 +108,4 @@ the second syntax in expressions like `my.server[[serverNumber]].count`.
queries via the Dashboard menu / Annotations view.
Graphite supports two ways to query annotations. A regular metric query, for this you use the `Graphite query` textbox. A Graphite events query, use the `Graphite event tags` textbox,
specify an tag or wildcard (leave empty should also work)
specify a tag or wildcard (leave empty should also work)
Grafana includes support for Prometheus Datasources. While the process of adding the datasource is similar to adding a Graphite or OpenTSDB datasource type, Prometheus does have a few different options for building queries.
Grafana includes built-in support for Prometheus.
## Adding the data source to Grafana
1. Open the side menu by clicking the the Grafana icon in the top header.
1. Open the side menu by clicking the Grafana icon in the top header.
2. In the side menu under the `Dashboards` link you should find a link named `Data Sources`.
3. Click the `+ Add data source` button in the top header.
4. Select `Prometheus` from the *Type* dropdown.
> NOTE: If your not seeing the `Data Sources` link in your side menu it means that your current user does not have the `Admin` role for the current organization.
> NOTE: If you're not seeing the `Data Sources` link in your side menu it means that your current user does not have the `Admin` role for the current organization.
## Data source options
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@@ -32,7 +31,7 @@ Name | Description
*Default* | Default data source means that it will be pre-selected for new panels.
*Url* | The http protocol, ip and port of you Prometheus server (default port is usually 9090)
*Access* | Proxy = access via Grafana backend, Direct = access directly from browser.
*Basic Auth* | Enable basic authentication to the Prometheus datasource.
*Basic Auth* | Enable basic authentication to the Prometheus datasource.
*User* | Name of your Prometheus user
*Password* | Database user's password
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@@ -46,9 +45,8 @@ Name | Description
------- | --------
*Query expression* | Prometheus query expression, check out the [Prometheus documentation](http://prometheus.io/docs/querying/basics/).
*Legend format* | Controls the name of the time series, using name or pattern. For example `{{hostname}}` will be replaced with label value for the label `hostname`.
*Min step* | Set a lower limit for the prometheus step option. Step controls how big the jumps are when the Prometheus query engine performs range queries. Sadly there is no official prometheus documentation to link to for this very important option.
*Resolution* | Controls the step option. Small steps create high resolution graphs but can be slow over larger time ranges, lowering the resolution can speed things up. `1/2` will try to set step option to generate 1 data point over other pixel. A value of `1/10` will try to set step option so there is a data point every 10 pixels.
*Metric lookup* | Search for metric names in this input field.
*Min step* | Set a lower limit for the Prometheus step option. Step controls how big the jumps are when the Prometheus query engine performs range queries. Sadly there is no official prometheus documentation to link to for this very important option.
*Resolution* | Controls the step option. Small steps create high-resolution graphs but can be slow over larger time ranges, lowering the resolution can speed things up. `1/2` will try to set step option to generate 1 data point for every other pixel. A value of `1/10` will try to set step option so there is a data point every 10 pixels.*Metric lookup* | Search for metric names in this input field.
*Format as* | **(New in v4.3)** Switch between Table & Time series. Table format will only work in the Table panel.
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. When the *Multi-value* or *Include all value*
option is enabled, Grafana converts the labels from plain text to a regex compatible string. Which means you have to use `=~` instead of `=`.
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 `=`.
Templating allows for more interactive and dynamic dashboards. 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.
the dashboard. These dropdowns make it easy to change the data being displayed in your dashboard.
## What is a variable?
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@@ -40,13 +40,13 @@ 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
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.
### Variable options
A variable is presented as a dropdown select box at the top of the dashboards. It has a current value and a set of **options**. The **options**
is the the set of values you can choose from.
is the set of values you can choose from.
## Adding a variable
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@@ -68,11 +68,11 @@ Option | Description
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 timespans. 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 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 seperated 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.
*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.
### Query options
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@@ -82,7 +82,7 @@ This variable type is the most powerful and complex as it can dynamically fetch
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 dependant on dashboard time range.
*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.
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@@ -114,21 +114,21 @@ Interpolating a variable with multiple values selected is tricky as it is not st
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.
**Graphite** for example uses glob expressions. A variable with multiple values would in this case be interpolated as `{host1,host2,host3}` if
**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
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 formated as `("host1" OR "host2" OR "host3")`. In this case every value
**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.
#### Formating troubles
Automatic escaping & formating can cause problems and it can be tricky to grasp the logic is behind it.
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 formating your only option is to disable the *Multi-value* or *Include All option*
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
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@@ -144,10 +144,9 @@ Option | Description
### Interval variables
Use the `Interval` type to create a variable that represent a timespan (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.
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 parameter to group by time (for InfluxDB), Date histogram interval (for Elasticsearch) or as a *summarize* function parameter (for Graphite).
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).
## Repeating Panels
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@@ -157,7 +156,7 @@ Grafana to dynamically create new panels or rows based on what values you have s
If you have a variable with `Multi-value` or `Include all value` options enabled you can choose one panel or one row and have Grafana repeat that row
for every selected value. You find this option under the General tab in panel edit mode. You select the variable to repeat by, and a `min span`.
The `min span` controls how small Grafana will make the panels (if you have many values selected). 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.
each repeated panel so that the whole row is filled. Currently, you cannot mix other panels on a row with a repeated panel.
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.
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@@ -171,4 +170,3 @@ opens the row options view. Here you find a *Repeat* dropdown where you can sele
Variable values are always synced to the URL using the syntax `var-<varname>=value`.
