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@ -86,7 +86,7 @@ GET my-index-000001/_search
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{ref}/search-request-body.html#request-body-search-script-fields[script field]
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to return the `_size` field in the search response.
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<5> Uses a
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{ref}/run-a-search.html#docvalue-fields[doc value
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{ref}/search-your-data.html#docvalue-fields[doc value
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field] to return the `_size` field in the search response. Doc value fields are
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useful if
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{ref}/modules-scripting-security.html#allowed-script-types-setting[inline
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@ -24,7 +24,7 @@ include::indices/index-templates.asciidoc[]
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include::data-streams/data-streams.asciidoc[]
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include::search/index.asciidoc[]
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include::search/search-your-data.asciidoc[]
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include::query-dsl.asciidoc[]
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@ -914,6 +914,16 @@ The `xpack.sql.enabled` setting has been deprecated. SQL access is always enable
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See <<index-templates>>.
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[role="exclude",id="run-a-search"]
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=== Run a search
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See <<run-an-es-search>>.
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[role="exclude",id="how-highlighters-work-internally"]
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=== How highlighters work internally
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See <<how-es-highlighters-work-internally>>.
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////
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[role="exclude",id="search-request-body"]
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=== Request body search
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@ -941,14 +951,17 @@ See <<paginate-search-results>>.
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[role="exclude",id="request-body-search-highlighting"]
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==== Highlighting
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See <<highlighting>>.
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[role="exclude",id="highlighter-internal-work"]
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==== How highlighters work internally
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See <<how-highlighters-work-internally>>.
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See <<how-es-highlighters-work-internally>>.
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[role="exclude",id="request-body-search-sort"]
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==== Sort
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See <<sort-search-results>>.
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[role="exclude",id="request-body-search-source-filtering"]
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@ -1,41 +0,0 @@
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[[search-your-data]]
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= Search your data
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[partintro]
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--
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[[search-query]]
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A _search query_, or _query_, is a request for information about data in
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{es} data streams or indices.
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You can think of a query as a question, written in a way {es} understands.
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Depending on your data, you can use a query to get answers to questions like:
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* What pages on my website contain a specific word or phrase?
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* What processes on my server take longer than 500 milliseconds to respond?
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* What users on my network ran `regsvr32.exe` within the last week?
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* How many of my products have a price greater than $20?
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A _search_ consists of one or more queries that are combined and sent to {es}.
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Documents that match a search's queries are returned in the _hits_, or
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_search results_, of the response.
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A search may also contain additional information used to better process its
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queries. For example, a search may be limited to a specific index or only return
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a specific number of results.
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[discrete]
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[[search-toc]]
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=== In this section
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* <<run-a-search>>
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* <<near-real-time>>
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* <<modules-cross-cluster-search>>
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* <<async-search-intro>>
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--
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include::run-a-search.asciidoc[]
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include::{es-repo-dir}/search/near-real-time.asciidoc[]
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include::{es-repo-dir}/async-search.asciidoc[]
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include::{es-repo-dir}/modules/cross-cluster-search.asciidoc[]
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@ -1,5 +1,5 @@
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[[collapse-search-results]]
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=== Collapse search results
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== Collapse search results
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You can use the `collapse` parameter to collapse search results based
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on field values. The collapsing is done by selecting only the top sorted
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@ -35,8 +35,9 @@ The field used for collapsing must be a single valued <<keyword, `keyword`>> or
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NOTE: The collapsing is applied to the top hits only and does not affect aggregations.
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[discrete]
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[[expand-collapse-results]]
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==== Expand collapse results
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=== Expand collapse results
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It is also possible to expand each collapsed top hits with the `inner_hits` option.
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@ -118,8 +119,9 @@ The default is based on the number of data nodes and the default search thread p
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WARNING: `collapse` cannot be used in conjunction with <<request-body-search-scroll, scroll>>,
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<<request-body-search-rescore, rescore>> or <<request-body-search-search-after, search after>>.
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[discrete]
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[[second-level-of-collapsing]]
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==== Second level of collapsing
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=== Second level of collapsing
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Second level of collapsing is also supported and is applied to `inner_hits`.
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For example, the following request finds the top scored tweets for
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@ -1,5 +1,6 @@
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[[how-highlighters-work-internally]]
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=== How highlighters work internally
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[discrete]
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[[how-es-highlighters-work-internally]]
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== How highlighters work internally
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Given a query and a text (the content of a document field), the goal of a
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highlighter is to find the best text fragments for the query, and highlight
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@ -10,7 +11,8 @@ address several questions:
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- How to find the best fragments among all fragments?
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- How to highlight the query terms in a fragment?
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==== How to break a text into fragments?
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[discrete]
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=== How to break a text into fragments?
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Relevant settings: `fragment_size`, `fragmenter`, `type` of highlighter,
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`boundary_chars`, `boundary_max_scan`, `boundary_scanner`, `boundary_scanner_locale`.
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@ -27,8 +29,8 @@ Unified or FVH highlighters do a better job of breaking up a text into
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fragments by utilizing Java's `BreakIterator`. This ensures that a fragment
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is a valid sentence as long as `fragment_size` allows for this.
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==== How to find the best fragments?
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[discrete]
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=== How to find the best fragments?
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Relevant settings: `number_of_fragments`.
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To find the best, most relevant, fragments, a highlighter needs to score
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@ -60,8 +62,8 @@ if they are available. Otherwise, similar to Plain Highlighter, it has to create
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an in-memory index from the text. Unified highlighter uses the BM25 scoring model
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to score fragments.
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==== How to highlight the query terms in a fragment?
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[discrete]
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=== How to highlight the query terms in a fragment?
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Relevant settings: `pre-tags`, `post-tags`.
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The goal is to highlight only those terms that participated in generating the 'hit' on the document.
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@ -77,8 +79,8 @@ fragments in some raw form, and then populate them with actual text.
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A highlighter uses `pre-tags`, `post-tags` to encode highlighted terms.
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==== An example of the work of the unified highlighter
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[discrete]
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=== An example of the work of the unified highlighter
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Let's look in more details how unified highlighter works.
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@ -1,5 +1,5 @@
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[[highlighting]]
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=== Highlighting
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== Highlighting
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Highlighters enable you to get highlighted snippets from one or more fields
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in your search results so you can show users where the query matches are.
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highlighter). You can specify the highlighter `type` you want to use
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for each field.
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[discrete]
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[[unified-highlighter]]
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==== Unified highlighter
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=== Unified highlighter
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The `unified` highlighter uses the Lucene Unified Highlighter. This
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highlighter breaks the text into sentences and uses the BM25 algorithm to score
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individual sentences as if they were documents in the corpus. It also supports
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accurate phrase and multi-term (fuzzy, prefix, regex) highlighting. This is the
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default highlighter.
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[discrete]
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[[plain-highlighter]]
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==== Plain highlighter
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=== Plain highlighter
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The `plain` highlighter uses the standard Lucene highlighter. It attempts to
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reflect the query matching logic in terms of understanding word importance and
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any word positioning criteria in phrase queries.
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@ -63,8 +65,9 @@ This is repeated for every field and every document that needs to be highlighted
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If you want to highlight a lot of fields in a lot of documents with complex
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queries, we recommend using the `unified` highlighter on `postings` or `term_vector` fields.
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[discrete]
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[[fast-vector-highlighter]]
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==== Fast vector highlighter
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=== Fast vector highlighter
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The `fvh` highlighter uses the Lucene Fast Vector highlighter.
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This highlighter can be used on fields with `term_vector` set to
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`with_positions_offsets` in the mapping. The fast vector highlighter:
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The `fvh` highlighter does not support span queries. If you need support for
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span queries, try an alternative highlighter, such as the `unified` highlighter.
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[discrete]
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[[offsets-strategy]]
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==== Offsets strategy
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=== Offsets strategy
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To create meaningful search snippets from the terms being queried,
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the highlighter needs to know the start and end character offsets of each word
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in the original text. These offsets can be obtained from:
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limited to 1000000. This default limit can be changed
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for a particular index with the index setting `index.highlight.max_analyzed_offset`.
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[discrete]
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[[highlighting-settings]]
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==== Highlighting settings
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=== Highlighting settings
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Highlighting settings can be set on a global level and overridden at
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the field level.
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@ -215,7 +220,7 @@ order:: Sorts highlighted fragments by score when set to `score`. By default,
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fragments will be output in the order they appear in the field (order: `none`).
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Setting this option to `score` will output the most relevant fragments first.
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Each highlighter applies its own logic to compute relevancy scores. See
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the document <<how-highlighters-work-internally, How highlighters work internally>>
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the document <<how-es-highlighters-work-internally, How highlighters work internally>>
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for more details how different highlighters find the best fragments.
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phrase_limit:: Controls the number of matching phrases in a document that are
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type:: The highlighter to use: `unified`, `plain`, or `fvh`. Defaults to
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`unified`.
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[discrete]
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[[highlighting-examples]]
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==== Highlighting examples
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=== Highlighting examples
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* <<override-global-settings, Override global settings>>
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* <<specify-highlight-query, Specify a highlight query>>
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[[override-global-settings]]
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[discrete]
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=== Override global settings
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== Override global settings
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You can specify highlighter settings globally and selectively override them for
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individual fields.
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[discrete]
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[[specify-highlight-query]]
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=== Specify a highlight query
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== Specify a highlight query
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You can specify a `highlight_query` to take additional information into account
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when highlighting. For example, the following query includes both the search
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[discrete]
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[[set-highlighter-type]]
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=== Set highlighter type
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== Set highlighter type
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The `type` field allows to force a specific highlighter type.
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The allowed values are: `unified`, `plain` and `fvh`.
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[[configure-tags]]
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[discrete]
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=== Configure highlighting tags
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== Configure highlighting tags
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By default, the highlighting will wrap highlighted text in `<em>` and
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`</em>`. This can be controlled by setting `pre_tags` and `post_tags`,
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[discrete]
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[[highlight-source]]
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=== Highlight on source
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== Highlight on source
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Forces the highlighting to highlight fields based on the source even if fields
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are stored separately. Defaults to `false`.
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[[highlight-all]]
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[discrete]
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=== Highlight in all fields
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== Highlight in all fields
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By default, only fields that contains a query match are highlighted. Set
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`require_field_match` to `false` to highlight all fields.
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[[matched-fields]]
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[discrete]
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=== Combine matches on multiple fields
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== Combine matches on multiple fields
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WARNING: This is only supported by the `fvh` highlighter
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@ -639,7 +645,7 @@ to
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[[explicit-field-order]]
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[discrete]
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=== Explicitly order highlighted fields
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== Explicitly order highlighted fields
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Elasticsearch highlights the fields in the order that they are sent, but per the
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JSON spec, objects are unordered. If you need to be explicit about the order
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in which fields are highlighted specify the `fields` as an array:
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[discrete]
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[[control-highlighted-frags]]
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=== Control highlighted fragments
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== Control highlighted fragments
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Each field highlighted can control the size of the highlighted fragment
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in characters (defaults to `100`), and the maximum number of fragments
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[discrete]
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[[highlight-postings-list]]
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=== Highlight using the postings list
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== Highlight using the postings list
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Here is an example of setting the `comment` field in the index mapping to
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allow for highlighting using the postings:
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[discrete]
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[[specify-fragmenter]]
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=== Specify a fragmenter for the plain highlighter
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== Specify a fragmenter for the plain highlighter
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When using the `plain` highlighter, you can choose between the `simple` and
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`span` fragmenters:
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@ -1,5 +1,5 @@
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[[sort-search-results]]
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=== Sort search results
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== Sort search results
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Allows you to add one or more sorts on specific fields. Each sort can be
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reversed as well. The sort is defined on a per field level, with special
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So if you don't care about the order in which documents are returned, then you
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should sort by `_doc`. This especially helps when <<request-body-search-scroll,scrolling>>.
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==== Sort Values
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[discrete]
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=== Sort Values
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The sort values for each document returned are also returned as part of
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the response.
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==== Sort Order
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[discrete]
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=== Sort Order
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The `order` option can have the following values:
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The order defaults to `desc` when sorting on the `_score`, and defaults
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to `asc` when sorting on anything else.
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==== Sort mode option
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[discrete]
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=== Sort mode option
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Elasticsearch supports sorting by array or multi-valued fields. The `mode` option
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controls what array value is picked for sorting the document it belongs
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@ -84,7 +87,8 @@ The default sort mode in the ascending sort order is `min` -- the lowest value
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is picked. The default sort mode in the descending order is `max` --
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the highest value is picked.
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===== Sort mode example usage
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[discrete]
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==== Sort mode example usage
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In the example below the field price has multiple prices per document.
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In this case the result hits will be sorted by price ascending based on
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}
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--------------------------------------------------
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==== Sorting numeric fields
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[discrete]
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=== Sorting numeric fields
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For numeric fields it is also possible to cast the values from one type
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to another using the `numeric_type` option.
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@ -226,8 +231,9 @@ POST /index_long,index_double/_search
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To avoid overflow, the conversion to `date_nanos` cannot be applied on dates before
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1970 and after 2262 as nanoseconds are represented as longs.
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[discrete]
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[[nested-sorting]]
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==== Sorting within nested objects.
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=== Sorting within nested objects.
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Elasticsearch also supports sorting by
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fields that are inside one or more nested objects. The sorting by nested
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@ -259,7 +265,8 @@ favor of the options documented above.
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============================================
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===== Nested sorting examples
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[discrete]
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==== Nested sorting examples
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In the below example `offer` is a field of type `nested`.
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The nested `path` needs to be specified; otherwise, Elasticsearch doesn't know on what nested level sort values need to be captured.
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@ -337,7 +344,8 @@ POST /_search
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Nested sorting is also supported when sorting by
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scripts and sorting by geo distance.
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==== Missing Values
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[discrete]
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=== Missing Values
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The `missing` parameter specifies how docs which are missing
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the sort field should be treated: The `missing` value can be
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@ -363,7 +371,8 @@ GET /_search
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NOTE: If a nested inner object doesn't match with
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the `nested_filter` then a missing value is used.
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==== Ignoring Unmapped Fields
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[discrete]
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=== Ignoring Unmapped Fields
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By default, the search request will fail if there is no mapping
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associated with a field. The `unmapped_type` option allows you to ignore
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|
@ -388,8 +397,9 @@ If any of the indices that are queried doesn't have a mapping for `price`
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then Elasticsearch will handle it as if there was a mapping of type
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`long`, with all documents in this index having no value for this field.
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[discrete]
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[[geo-sorting]]
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==== Geo Distance Sorting
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=== Geo Distance Sorting
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||||
Allow to sort by `_geo_distance`. Here is an example, assuming `pin.location` is a field of type `geo_point`:
|
||||
|
||||
|
@ -444,7 +454,8 @@ have values for the field that is used for distance computation.
|
|||
|
||||
The following formats are supported in providing the coordinates:
|
||||
|
||||
===== Lat Lon as Properties
|
||||
[discrete]
|
||||
==== Lat Lon as Properties
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
|
@ -468,7 +479,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
===== Lat Lon as String
|
||||
[discrete]
|
||||
==== Lat Lon as String
|
||||
|
||||
Format in `lat,lon`.
|
||||
|
||||
|
@ -491,7 +503,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
===== Geohash
|
||||
[discrete]
|
||||
==== Geohash
|
||||
|
||||
[source,console]
|
||||
--------------------------------------------------
|
||||
|
@ -512,7 +525,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
===== Lat Lon as Array
|
||||
[discrete]
|
||||
==== Lat Lon as Array
|
||||
|
||||
Format in `[lon, lat]`, note, the order of lon/lat here in order to
|
||||
conform with http://geojson.org/[GeoJSON].
|
||||
|
@ -536,8 +550,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
|
||||
==== Multiple reference points
|
||||
[discrete]
|
||||
=== Multiple reference points
|
||||
|
||||
Multiple geo points can be passed as an array containing any `geo_point` format, for example
|
||||
|
||||
|
@ -565,8 +579,8 @@ and so forth.
|
|||
The final distance for a document will then be `min`/`max`/`avg` (defined via `mode`) distance of all points contained in the document to all points given in the sort request.
|
||||
|
||||
|
||||
|
||||
==== Script Based Sorting
|
||||
[discrete]
|
||||
=== Script Based Sorting
|
||||
|
||||
Allow to sort based on custom scripts, here is an example:
|
||||
|
||||
|
@ -593,8 +607,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
|
||||
==== Track Scores
|
||||
[discrete]
|
||||
=== Track Scores
|
||||
|
||||
When sorting on a field, scores are not computed. By setting
|
||||
`track_scores` to true, scores will still be computed and tracked.
|
||||
|
@ -615,7 +629,8 @@ GET /_search
|
|||
}
|
||||
--------------------------------------------------
|
||||
|
||||
==== Memory Considerations
|
||||
[discrete]
|
||||
=== Memory Considerations
|
||||
|
||||
When sorting, the relevant sorted field values are loaded into memory.
|
||||
This means that per shard, there should be enough memory to contain
|
||||
|
|
|
@ -1,11 +1,35 @@
|
|||
[[run-a-search]]
|
||||
[[search-your-data]]
|
||||
= Search your data
|
||||
|
||||
[[search-query]]
|
||||
A _search query_, or _query_, is a request for information about data in
|
||||
{es} data streams or indices.
|
||||
|
||||
You can think of a query as a question, written in a way {es} understands.
|
||||
Depending on your data, you can use a query to get answers to questions like:
|
||||
|
||||
* What processes on my server take longer than 500 milliseconds to respond?
|
||||
* What users on my network ran `regsvr32.exe` within the last week?
|
||||
* How many of my products have a price greater than $20?
|
||||
* What pages on my website contain a specific word or phrase?
|
||||
|
||||
A _search_ consists of one or more queries that are combined and sent to {es}.
|
||||
Documents that match a search's queries are returned in the _hits_, or
|
||||
_search results_, of the response.
|
||||
|
||||
A search may also contain additional information used to better process its
|
||||
queries. For example, a search may be limited to a specific index or only return
|
||||
a specific number of results.
|
||||
|
||||
[discrete]
|
||||
[[run-an-es-search]]
|
||||
== Run a search
|
||||
|
||||
You can use the <<search-search,search API>> to search data stored in
|
||||
{es} data streams or indices.
|
||||
|
||||
The API can run two types of searches, depending on how you provide
|
||||
<<search-query,queries>>:
|
||||
queries:
|
||||
|
||||
<<run-uri-search,URI searches>>::
|
||||
Queries are provided through a query parameter. URI searches tend to be
|
||||
|
@ -269,11 +293,10 @@ GET /*/_search
|
|||
----
|
||||
|
||||
include::request/from-size.asciidoc[]
|
||||
|
||||
include::search-fields.asciidoc[]
|
||||
|
||||
include::request/collapse.asciidoc[]
|
||||
|
||||
include::request/highlighting.asciidoc[]
|
||||
|
||||
include::request/sort.asciidoc[]
|
||||
include::{es-repo-dir}/async-search.asciidoc[]
|
||||
include::{es-repo-dir}/modules/cross-cluster-search.asciidoc[]
|
||||
include::{es-repo-dir}/search/near-real-time.asciidoc[]
|
Loading…
Reference in New Issue