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[[index-patterns]]
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== Index Patterns
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To use Kibana, you have to tell it about the Elasticsearch indices that you want to explore by configuring one or more
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index patterns. You can also:
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* Create scripted fields that are computed on the fly from your data. You can browse and visualize scripted fields, but
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you cannot search them.
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* Set advanced options such as the number of rows to show in a table and how many of the most popular fields to show.
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Use caution when modifying advanced options, as it's possible to set values that are incompatible with one another.
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* Configure Kibana for a production environment
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[float]
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[[settings-create-pattern]]
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== Creating an Index Pattern to Connect to Elasticsearch
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An _index pattern_ identifies one or more Elasticsearch indices that you want to explore with Kibana. Kibana looks for
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index names that match the specified pattern.
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An asterisk (*) in the pattern matches zero or more characters. For example, the pattern `myindex-*` matches all
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indices whose names start with `myindex-`, such as `myindex-1` and `myindex-2`.
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An index pattern can also simply be the name of a single index.
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To create an index pattern to connect to Elasticsearch:
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. Go to the *Settings > Indices* tab.
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. Specify an index pattern that matches the name of one or more of your Elasticsearch indices. By default, Kibana
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guesses that you're you're working with log data being fed into Elasticsearch by Logstash.
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+
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NOTE: When you switch between top-level tabs, Kibana remembers where you were. For example, if you view a particular
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index pattern from the Settings tab, switch to the Discover tab, and then go back to the Settings tab, Kibana displays
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the index pattern you last looked at. To get to the create pattern form, click the *Add* button in the Index Patterns
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list.
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. If your index contains a timestamp field that you want to use to perform time-based comparisons, select the *Index
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contains time-based events* option and select the index field that contains the timestamp. Kibana reads the index
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mapping to list all of the fields that contain a timestamp.
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. By default, Kibana restricts wildcard expansion of time-based index patterns to indices with data within the currently
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selected time range. Click *Do not expand index pattern when search* to disable this behavior.
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. Click *Create* to add the index pattern.
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. To designate the new pattern as the default pattern to load when you view the Discover tab, click the *favorite*
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button.
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[float]
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[[set-default-pattern]]
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== Setting the Default Index Pattern
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The default index pattern is loaded by automatically when you view the *Discover* tab. Kibana displays a star to the
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left of the name of the default pattern in the Index Patterns list on the *Settings > Indices* tab. The first pattern
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you create is automatically designated as the default pattern.
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To set a different pattern as the default index pattern:
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. Go to the *Settings > Indices* tab.
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. Select the pattern you want to set as the default in the Index Patterns list.
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. Click the pattern's *Favorite* button.
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NOTE: You can also manually set the default index pattern in *Advanced > Settings*.
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[float]
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[[reload-fields]]
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== Reloading the Index Fields List
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When you add an index mapping, Kibana automatically scans the indices that match the pattern to display a list of the
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index fields. You can reload the index fields list to pick up any newly-added fields.
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Reloading the index fields list also resets Kibana's popularity counters for the fields. The popularity counters keep
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track of the fields you've used most often within Kibana and are used to sort fields within lists.
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To reload the index fields list:
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. Go to the *Settings > Indices* tab.
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. Select an index pattern from the Index Patterns list.
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. Click the pattern's *Reload* button.
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[float]
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[[delete-pattern]]
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== Deleting an Index Pattern
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To delete an index pattern:
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. Go to the *Settings > Indices* tab.
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. Select the pattern you want to remove in the Index Patterns list.
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. Click the pattern's *Delete* button.
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. Confirm that you want to remove the index pattern.
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include::index-patterns/management-cross-cluster-search.asciidoc[]
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