Kibana requires a data view to access the Elasticsearch data that you want to explore. A data view selects the data to use and allows you to define properties of the fields.
Access to Data Views requires the Kibana privilege
Data View Management.
To create a data view, you must have the Elasticsearch privilege
- If a read-only indicator appears in Kibana, you have insufficient privileges to create or save data views. The buttons to create data views or save existing data views are not visible. For more information, refer to Granting access to Kibana.
Create a data viewedit
If you collected data using one of the Kibana ingest options, uploaded a file, or added sample data, you get a data view for free, and can start exploring your data. If you loaded your own data, follow these steps to create a data view.
- Open the main menu, then click to Stack Management > Data Views.
- Click Create data view.
Start typing in the name field, and Kibana looks for the names of indices, data streams, and aliases that match your input.
To match multiple sources, use a wildcard (*). For example,
filebeat-apache-b, and so on.
To match multiple single sources, enter their names,
separated with a comma. Do not include a space after the comma.
filebeat-a,filebeat-bmatches two indices, but not match
To exclude a source, use a minus sign (-), for example,
- To match multiple sources, use a wildcard (*). For example,
If Kibana detects an index with a timestamp, expand the Timestamp field menu, and then select the default field for filtering your data by time.
- If your index doesn’t have time-based data, choose I don’t want to use the time filter.
- If you don’t set a default time field, you can’t use global time filters on your dashboards. This is useful if you have multiple time fields and want to create dashboards that combine visualizations based on different timestamps.
- To display all indices, click Show advanced settings, then select Allow hidden and system indices.
- To specify your own data view name, click Show advanced settings, then enter the name in the Custom data view ID field. For example, enter your Elasticsearch index alias name.
Click Create data view.
Kibana is now configured to use your Elasticsearch data. When a new field is added to an index, the data view field list is updated the next time the data view is loaded, for example, when you load the page or move between Kibana apps.
- Select this data view when you search and visualize your data.
Create a data view for rolled up dataedit
A data view can match one rollup index. For a combination rollup data view with both raw and rolled up data, use the standard notation:
For an example, refer to Create and visualize rolled up data.
Create a data view that searches across clustersedit
If your Elasticsearch clusters are configured for cross-cluster search, you can create a data view to search across the clusters of your choosing. You specify data streams, indices, and aliases in a remote cluster using the following syntax:
To query Logstash indices across two Elasticsearch clusters
that you set up for cross-cluster search, named
Use wildcards in your cluster names
to match any number of clusters. To search Logstash indices across
cluster_bar, and so on:
To query across all Elasticsearch clusters that have been configured for cross-cluster search, use a standalone wildcard for your cluster name:
To match indices starting with
logstash-, but exclude those starting with
all clusters having a name starting with
To exclude a cluster having a name starting with
Once you configure a data view to use the cross-cluster search syntax, all searches and aggregations using that data view in Kibana take advantage of cross-cluster search.
Delete data viewsedit
When you delete a data view, you cannot recover the associated field formatters, runtime fields, source filters, and field popularity data. Deleting a data view does not remove any indices or data documents from Elasticsearch.
Deleting a data view breaks all visualizations, saved searches, and other saved objects that reference the data view.
- Open the main menu, then click Stack Management > Data Views.
- Click the data view to delete.
- Delete () the data view.