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* Changes. to metadata in Manage users * changes to install section * Added titile * More changes. * Updated administration folder metadata, moved 2 files from installation folder. * Added links to Administration landing page, other metadata changes worked out. * Updated alerting section metadata. * Updated metadata of Auth section. Broke index and created separate Grafana Authentication section. * Added correct weight. * Updated metadata for the Best practices section. * Updated metadata in templates, broke Overview topic. * Updated subment Variable types metadata * Fixed yaml file and H1 description of Variables syntax topic. * Couple more metadata changes. * Added aliases files, as suggested by Diana.
31 lines
1.3 KiB
Markdown
31 lines
1.3 KiB
Markdown
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title = "Enter variable Selection Options"
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type = "docs"
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[menu.docs]
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identifier = "variables-selection-options"
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parent = "variables"
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weight = 400
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# Enter variable selection options
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**Selection Options** are a feature you can use to manage variable option selections. All selection options are optional, and they are off by default.
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## Multi-value
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If you turn this on, then the variable dropdown list allows users to select multiple options at the same time. For more information, refer to [Formatting multi-value variables]({{< relref "formatting-multi-value-variables.md" >}}).
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## Include All option
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Grafana adds an `All` option to the variable dropdown list. If a user selects this option, then all variable options are selected.
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## Custom all value
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This option is only visible if the **Include All option** is selected.
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Enter regex, globs, or lucene syntax in the **Custom all value** field to define the value of the `All` option.
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By default the `All` value includes all options in combined expression. This can become very long and can have performance problems. Sometimes it can be better to specify a custom all value, like a wildcard regex.
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In order 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.
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