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Updates Kibana configuration parameters doc.
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@ -1,64 +1,57 @@
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[[settings]]
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== Settings
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To use Kibana, you have to tell it about the Elasticsearch indices that you
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want to explore by configuring one or more index patterns. You can also:
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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
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browse and visualize scripted fields, but you cannot search them.
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* Set advanced options such as the number of rows to show in a table and
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how many of the most popular fields to show. Use caution when modifying advanced options,
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as it's possible to set values that are incompatible with one another.
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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
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explore with Kibana. Kibana looks for 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
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`myindex-*` matches all indices whose names start with `myindex-`, such as `myindex-1`
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and `myindex-2`.
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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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If you use event times to create index names (for example, if you're pushing data
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into Elasticsearch from Logstash), the index pattern can also contain a date format.
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In this case, the static text in the pattern must be enclosed in brackets, and you
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specify the date format using the tokens described in <<date-format-tokens>>.
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If you use event times to create index names (for example, if you're pushing data into Elasticsearch from Logstash),
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the index pattern can also contain a date format.
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In this case, the static text in the pattern must be enclosed in brackets, and you specify the date format using the
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tokens described in <<date-format-tokens>>.
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For example, `[logstash-]YYYY.MM.DD` matches all indices whose names have a
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timestamp of the form `YYYY.MM.DD` appended to the prefix `logstash-`, such as
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`logstash-2015.01.31` and `logstash-2015-02-01`.
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For example, `[logstash-]YYYY.MM.DD` matches all indices whose names have a timestamp of the form `YYYY.MM.DD` appended
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to the prefix `logstash-`, such as `logstash-2015.01.31` and `logstash-2015-02-01`.
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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
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indices. By default, Kibana guesses that you're you're working with log data being
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fed into Elasticsearch by Logstash.
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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.
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For example, if you view a particular index pattern from the Settings tab, switch
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to the Discover tab, and then go back to the Settings tab, Kibana displays the
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index pattern you last looked at. To get to the create pattern form, click
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the *Add* button in the Index Patterns list.
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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
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time-based comparisons, select the *Index contains time-based events* option
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and select the index field that contains the timestamp. Kibana reads the
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index mapping to list all of the fields that contain a timestamp.
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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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. If new indices are generated periodically and have a timestamp appended to
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the name, select the *Use event times to create index names* option and select
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the *Index pattern interval*. This enables Kibana to search only those indices
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that could possibly contain data in the time range you specify. This is
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primarily applicable if you are using Logstash to feed data into Elasticsearch.
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. If new indices are generated periodically and have a timestamp appended to the name, select the *Use event times to
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create index names* option and select the *Index pattern interval*. This enables Kibana to search only those indices
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that could possibly contain data in the time range you specify. This is primarily applicable if you are using Logstash
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to feed data into Elasticsearch.
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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
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the Discover tab, click the *favorite* button.
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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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[[date-format-tokens]]
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@ -116,10 +109,9 @@ the Discover tab, click the *favorite* 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.
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Kibana displays a star to the left of the name of the default pattern in the Index Patterns list
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on the *Settings > Indices* tab. The first pattern you create is automatically
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designated as the default 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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[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
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match the pattern to display a list of the index fields. You can reload the
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index fields list to pick up any newly-added fields.
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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.
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The popularity counters keep track of the fields you've used most often within Kibana
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and are used to sort fields within lists.
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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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[float]
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[[create-scripted-field]]
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=== Creating a Scripted Field
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Scripted fields compute data on the fly from the data in your
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Elasticsearch indices. Scripted field data is shown on the Discover tab as
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part of the document data, and you can use scripted fields in your visualizations.
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(Scripted field values are computed at query time so they aren't indexed and
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cannot be searched.)
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Scripted fields compute data on the fly from the data in your Elasticsearch indices. Scripted field data is shown on
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the Discover tab as part of the document data, and you can use scripted fields in your visualizations.
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Scripted field values are computed at query time so they aren't indexed and cannot be searched.
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WARNING: Computing data on the fly with scripted fields can be very resource
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intensive and can have a direct impact on Kibana's performance. Keep in mind
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that there's no built-in validation of a scripted field. If your scripts are
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buggy, you'll get exceptions whenever you try to view the dynamically generated
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data.
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WARNING: Computing data on the fly with scripted fields can be very resource intensive and can have a direct impact on
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Kibana's performance. Keep in mind that there's no built-in validation of a scripted field. If your scripts are
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buggy, you'll get exceptions whenever you try to view the dynamically generated data.
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Scripted fields use the Lucene expression syntax. For more information,
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see http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-scripting.html#_lucene_expressions_scripts[Lucene Expressions Scripts].
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see http://www.elastic.co/guide/en/elasticsearch/reference/current/modules-scripting.html#_lucene_expressions_scripts[
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Lucene Expressions Scripts].
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You can reference any single value numeric field in your expressions, for example:
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. Go to the pattern's *Scripted Fields* tab.
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. Click *Add Scripted Field*.
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. Enter a name for the scripted field.
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. Enter the expression that you want to use to compute a value on the fly
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from your index data.
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. Enter the expression that you want to use to compute a value on the fly from your index data.
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. Click *Save Scripted Field*.
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For more information about scripted fields in Elasticsearch, see
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. Click the *Edit* button for the scripted field you want to change.
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. Make your changes and then click *Save Scripted Field* to update the field.
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WARNING: Keep in mind
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that there's no built-in validation of a scripted field. If your scripts are
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buggy, you'll get exceptions whenever you try to view the dynamically generated
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data.
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WARNING: Keep in mind that there's no built-in validation of a scripted field. If your scripts are buggy, you'll get
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exceptions whenever you try to view the dynamically generated data.
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[float]
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[[delete-scripted-field]]
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[[advanced-options]]
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=== Setting Advanced Options
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The Advanced Settings page enables you to directly edit settings that control
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the behavior of the Kibana application. For example, you can change the format
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used to display dates, specify the default index pattern, and set the precision
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The Advanced Settings page enables you to directly edit settings that control the behavior of the Kibana application.
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For example, you can change the format used to display dates, specify the default index pattern, and set the precision
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for displayed decimal values.
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WARNING: Changing advanced settings can have unintended consequences. If you aren't
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sure what you're doing, it's best to leave these settings as-is.
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WARNING: Changing advanced settings can have unintended consequences. If you aren't sure what you're doing, it's best
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to leave these settings as-is.
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To set advanced options:
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You can view, edit, and delete saved searches, visualizations, and dashboards from *Settings > Objects*. You can also
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export or import sets of searches, visualizations, and dashboards.
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Viewing a saved object displays the selected item in the *Discover*, *Visualize*,
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or *Dashboard* page. To view a saved object:
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Viewing a saved object displays the selected item in the *Discover*, *Visualize*, or *Dashboard* page. To view a saved
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object:
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. Go to *Settings > Objects*.
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. Select the object you want to view.
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. Click the *View* button.
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Editing a saved object enables you to directly modify the object definition.
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You can change the name of the object, add a description, and modify the
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JSON that defines the object's properties.
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Editing a saved object enables you to directly modify the object definition. You can change the name of the object, add
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a description, and modify the JSON that defines the object's properties.
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If you attempt to access an object whose index has been deleted, Kibana displays
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its Edit Object page. You can:
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If you attempt to access an object whose index has been deleted, Kibana displays its Edit Object page. You can:
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* Recreate the index so you can continue using the object.
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* Delete the object and recreate it using a different index.
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* Change the index name referenced in the object's `kibanaSavedObjectMeta.searchSourceJSON`
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to point to an existing index pattern. This is useful if the index you were working
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with has been renamed.
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* Change the index name referenced in the object's `kibanaSavedObjectMeta.searchSourceJSON` to point to an existing
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index pattern. This is useful if the index you were working with has been renamed.
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WARNING: No validation is performed for object properties. Submitting invalid
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changes will render the object unusable. Generally, you should use the
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*Discover*, *Visualize*, or *Dashboard* pages to create new objects instead of
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directly editing existing ones.
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WARNING: No validation is performed for object properties. Submitting invalid changes will render the object unusable.
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Generally, you should use the *Discover*, *Visualize*, or *Dashboard* pages to create new objects instead of directly
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editing existing ones.
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To edit a saved object:
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[[kibana-server-properties]]
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=== Setting Kibana Server Properties
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The Kibana server reads properties from the `kibana.yml` file on startup. The default
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settings configure Kibana to run on `localhost:5601`. To change the host or port number, or
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connect to Elasticsearch running on a different machine, you'll need to update your `kibana.yml` file. You can also
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enable SSL and set a variety of other options.
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The Kibana server reads properties from the `kibana.yml` file on startup. The default settings configure Kibana to run
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on `localhost:5601`. To change the host or port number, or connect to Elasticsearch running on a different machine,
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you'll need to update your `kibana.yml` file. You can also enable SSL and set a variety of other options.
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NOTE: Kibana server properties changed in the 4.2 release of Kibana.
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.Kibana Server Properties
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|===
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|Property |Description
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|Property Name |Legacy Property Name |Description
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|`port`
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|The port that the Kibana server runs on. Default: `port: 5601`.
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|`server.port` added[4.2] |`port`
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|The port that the Kibana server runs on. Default value is `5601`.
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|`host`
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|The host to bind the Kibana server to. Default: `host: "0.0.0.0"`.
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|`server.host` added[4.2] |`host`
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|The host to bind the Kibana server to. Default value is `"0.0.0.0"`.
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|`elasticsearch_url`
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|The Elasticsearch instance where the indices you want to query reside. Default: `elasticsearch_url:
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"http://localhost:9200"`.
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|`elasticsearch.url` added[4.2] |`elasticsearch_url`
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|The Elasticsearch instance where the indices you want to query reside. Default value is `"http://localhost:9200"`.
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|`elasticsearch_preserve_host`
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|`elasticsearch.preserveHost` added[4.2] |`elasticsearch_preserve_host`
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|By default, the host specified in the incoming request from the browser is specified as the host in the
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corresponding request Kibana sends to Elasticsearch. If you set this option to `false`, Kibana uses the host
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specified in `elasticsearch_url`. You probably don't need to worry about this setting--just use the default.
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Default: `elasticsearch_preserve_host: true`.
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specified in `elasticsearch_url`. Default value is `true`.
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|`kibana_index`
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|The name of the index where saved searched, visualizations, and dashboards will be stored. Default: `kibana_index: .kibana`.
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|`elasticsearch.ssl.cert` added[4.2] |`kibana_elasticsearch_client_crt'
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| This parameter specifies the path to the SSL certificate for Elasticsearch instances that require a client certificate.
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|`default_app_id`
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|The page that will be displayed when you launch Kibana: `discover`, `visualize`, `dashboard`, or `settings`. Default:
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`default_app_id: "discover"`.
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|`elasticsearch.ssl.key` added[4.2] |`kibana_elasticsearch_client_key'
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| This parameter specifies the path to the SSL key for Elasticsearch instances that require a client key.
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|`request_timeout`
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|How long to wait for responses from the Kibana backend or Elasticsearch, in milliseconds. Default: `request_timeout: 500000`.
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|`elasticsearch.password` added[4.2] |`kibana_elasticsearch_password'
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| This parameter specifies the password for Elasticsearch instances that use HTTP basic authentication. Kibana users
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still need to authenticate with Elasticsearch, which is proxied through the Kibana server.
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|`shard_timeout`
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|How long Elasticsearch should wait for responses from shards. Set to 0 to disable. Default: `shard_timeout: 0`.
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|`elasticsearch.username` added[4.2] |`kibana_elasticsearch_username'
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| This parameter specifies the username for Elasticsearch instances that use HTTP basic authentication. Kibana users
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still need to authenticate with Elasticsearch, which is proxied through the Kibana server.
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|`verify_ssl`
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|`elasticsearch.pingTimeout` added[4.2] |`ping_timeout'
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| This parameter specifies the maximum wait time in milliseconds for ping responses by Elasticsearch. The default value
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is `1500`.
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|`elasticsearch.startupTimeout` added[4.2] |`startup_timeout'
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| This parameter specifies the maximum wait time in milliseconds for Elasticsearch discovery at Kibana startup. Kibana
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repeats attempts to discover an Elasticsearch cluster after the specified time elapses. The default value is `5000`.
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|`kibana.index` added[4.2] |`kibana_index`
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|The name of the index where saved searched, visualizations, and dashboards will be stored. Default value is `.kibana`.
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|`kibana.defaultAppId` added[4.2] |`default_app_id`
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|The page that will be displayed when you launch Kibana: `discover`, `visualize`, `dashboard`, or `settings`. Default
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value is`"discover"`.
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|`elasticsearch.requestTimeout` added[4.2] |`request_timeout`
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|How long to wait for responses from the Kibana backend or Elasticsearch, in milliseconds. Default value is
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`500000`.
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|`elasticsearch.shardTimeout` added[4.2] |`shard_timeout`
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|How long Elasticsearch should wait for responses from shards. Set to 0 to disable. Default value is `0`.
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|`elasticsearch.ssl.verify` added[4.2] |`verify_ssl`
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|Indicates whether or not to validate the Elasticsearch SSL certificate. Set to false to disable SSL verification.
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Default: `verify_ssl: true`.
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Default value is `true`.
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|`ca`
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|`elasticsearch.ssl.ca` added[4.2] |`ca`
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|The path to the CA certificate for your Elasticsearch instance. Specify if you are using a self-signed certificate
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so the certificate can be verified. (Otherwise, you have to disable `verify_ssl`.) Default: none.
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so the certificate can be verified. Disable `elasticsearch.ssl.verify` otherwise.
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|`ssl_key_file`
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|The path to your Kibana server's key file. Must be set to encrypt communications between the browser and Kibana. Default: none.
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|`server.ssl.key` added[4.2] |`ssl_key_file`
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|The path to your Kibana server's key file. Must be set to encrypt communications between the browser and Kibana.
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|`ssl_cert_file`
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|The path to your Kibana server's certificate file. Must be set to encrypt communications between the browser and Kibana. Default: none.
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|`server.ssl.cert` added[4.2] |`ssl_cert_file`
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|The path to your Kibana server's certificate file. Must be set to encrypt communications between the browser and Kibana.
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|`pid_file`
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|`pid.file` added[4.2] |`pid_file`
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|The location where you want to store the process ID file. If not specified, the PID file is stored in
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`/var/run/kibana.pid`. Default: none.
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`/var/run/kibana.pid`.
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|`log_file`
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|`logging.dest` added[4.2] |`log_file`
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|The location where you want to store the Kibana's log output. If not specified, log output is written to standard
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output and not stored. Specifying a log file suppresses log writes to standard output. Default: none.
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||||
output and not stored. Specifying a log file suppresses log writes to standard output.
|
||||
|
||||
|===
|
||||
|
|
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Add a link
Reference in a new issue