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Expands 'Defining your Index Patterns' for 3 indices and 3 sample data sets.
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@ -156,16 +156,22 @@ yellow open logstash-2015.05.20 5 1 4750 0 16.4mb
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[[tutorial-define-index]]
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=== Defining Your Index Patterns
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Each set of data loaded to Elasticsearch has an https://www.elastic.co/guide/en/kibana/current/settings.html#settings-create-pattern[index pattern]. In the previous section, the Shakespeare data set has an index named `shakespeare`, and the accounts
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Each set of data loaded to Elasticsearch has an
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https://www.elastic.co/guide/en/kibana/current/settings.html#settings-create-pattern[index pattern]. In the previous
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section, the Shakespeare data set has an index named `shakespeare`, and the accounts
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data set has an index named `bank`. An _index pattern_ is a string with optional wildcards that can match multiple
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indices. For example, in the common logging use case, a typical index name contains the date in MM-DD-YYYY
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format, and an index pattern for May would look something like `logstash-2015.05*`.
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For this tutorial, any pattern that matches either of the two indices we've loaded will work. Open a browser and
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For this tutorial, any pattern that matches the name of an index we've loaded will work. Open a browser and
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navigate to `localhost:5601`. Click the *Settings* tab, then the *Indices* tab. Click *Add New* to define a new index
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pattern. Since these data sets don't contain time-series data, make sure the *Index contains time-based events* box is
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unchecked. Specify `shakes*` as the index pattern for the Shakespeare data set and click *Create* to define the index
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pattern, then define a second index pattern named `ba*`.
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pattern. Since these data sets don't contain time-series data, make sure the *Index contains time-based events* box
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is unchecked. Specify `shakes*` as the index pattern for the Shakespeare data set and click *Create* to define the
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index pattern, then define a second index pattern named `ba*`.
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The Logstash data set does contain time-series data, so after clicking *Add New* to define the index for this data
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set, make sure the *Index contains time-based events* box is checked and select the `@timestamp` field from the
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*Time-field name* drop-down.
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[float]
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[[tutorial-discovering]]
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