kibana/docs/getting-started/tutorial-define-index.asciidoc
Natalie 22aa46e850 Update Defining Your Index Patterns page (#14117)
* Update define index tutorial

* Rename Create->Next step
2018-05-10 16:35:53 -07:00

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[[tutorial-define-index]]
== Defining Your Index Patterns
Each set of data loaded to Elasticsearch has an index pattern. In the previous section, the
Shakespeare data set has an index named `shakespeare`, and the accounts data set has an index named `bank`. An _index
pattern_ is a string with optional wildcards that can match multiple indices. For example, in the common logging use
case, a typical index name contains the date in YYYY.MM.DD format, and an index pattern for May would look something
like `logstash-2015.05*`.
For this tutorial, any pattern that matches the name of an index we've loaded will work. Open a browser and
navigate to `localhost:5601`. Click the *Management* tab, then the *Index Patterns* tab. Under *Index Pattern* specify `shakes*` as the index pattern for the Shakespeare data set and click *Next step* to define the index pattern, then
define a second index pattern named `ba*`.
The Logstash data set does contain time-series data, so after clicking *Add New* to define the index for this data
set, make sure the *Index contains time-based events* box is checked and select the `@timestamp` field from the
*Time-field name* drop-down.
NOTE: When you define an index pattern, indices that match that pattern must exist in Elasticsearch. Those indices must
contain data. You can check what indices exist by using `GET _cat/indices` in <<console-kibana>>, under Dev Tools, or `curl -XGET "http://localhost:9200/_cat/indices"`.