34 lines
1.6 KiB
Plaintext
34 lines
1.6 KiB
Plaintext
[[discover-search-for-relevance]]
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== Search for relevance
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{es} assigns a relevancy, or score to each document, so you can
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can narrow your search to the documents with the most relevant results.
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The higher the score, the better it matches your query.
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This example shows how to use *Discover* to list
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your documents from most relevant to least relevant. This example uses
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the <<gs-get-data-into-kibana, sample flights data set>>, or you can use your own data.
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. In *Discover*, open the index pattern dropdown, and select that data you want to work with.
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For the sample flights data, set the index pattern to *kibana_sample_data_flights*.
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. Run your search. For the sample data, try:
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+
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```ts
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Warsaw OR Venice OR Clear
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```
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. If you don't see any results, expand the <<set-time-filter,time range>>, for example to *Last 7 days*.
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. From the list of *Available fields*, add `_score` and any other fields you want to the document table.
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. To sort the `_score` column in descending order, hover over its header, and set
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the sort icon to
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image:images/downward-arrow.png[Downward pointing arrow to indicate descending sorting].
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At this point, you're doing a multi-column sort: first by `Time`, and then by `_score`.
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. To turn off sorting for the `Time` field, hover over its header, and set the sort icon to
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image:images/double-arrow.png[Arrow on both ends of the icon indicates sorting is off].
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Your table now sorts documents from most to least relevant.
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[role="screenshot"]
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image::images/discover-search-for-relevance.png["Documents are sorted from most relevant to least relevant."]
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