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53 lines
1.8 KiB
Text
53 lines
1.8 KiB
Text
[[tutorial-define-index]]
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=== Define your index patterns
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Index patterns tell Kibana which Elasticsearch indices you want to explore.
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An index pattern can match the name of a single index, or include a wildcard
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(*) to match multiple indices.
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For example, Logstash typically creates a
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series of indices in the format `logstash-YYYY.MMM.DD`. To explore all
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of the log data from May 2018, you could specify the index pattern
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`logstash-2018.05*`.
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[float]
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==== Create your first index pattern
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First you'll create index patterns for the Shakespeare data set, which has an
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index named `shakespeare,` and the accounts data set, which has an index named
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`bank`. These data sets don't contain time series data.
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. In Kibana, open *Management*, and then click *Index Patterns.*
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. If this is your first index pattern, the *Create index pattern* page opens automatically.
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Otherwise, click *Create index pattern*.
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. Enter `shakes*` in the *Index pattern* field.
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+
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[role="screenshot"]
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image::images/tutorial-pattern-1.png[]
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. Click *Next step*.
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. In *Configure settings*, click *Create index pattern*.
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+
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You’re presented a table of all fields and associated data types in the index.
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. Return to the *Index patterns* overview page and define a second index pattern named `ba*`.
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[float]
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==== Create an index pattern for time series data
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Now create an index pattern for the Logstash index, which
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contains time series data.
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. Define an index pattern named `logstash*`.
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. Click *Next step*.
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. Open the *Time Filter field name* dropdown and select *@timestamp*.
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. Click *Create index pattern*.
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NOTE: When you define an index pattern, the indices that match that pattern must
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exist in Elasticsearch and they must contain data. To check which indices are
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available, go to *Dev Tools > Console* and enter `GET _cat/indices`. Alternately, use
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`curl -XGET "http://localhost:9200/_cat/indices"`.
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