152 lines
3.9 KiB
Plaintext
152 lines
3.9 KiB
Plaintext
[[search-suggesters]]
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== Suggesters
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The suggest feature suggests similar looking terms based on a provided
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text by using a suggester. Parts of the suggest feature are still under
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development.
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The suggest request part is defined alongside the query part in a `_search`
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request.
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NOTE: `_suggest` endpoint has been deprecated in favour of using suggest via
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`_search` endpoint. In 5.0, the `_search` endpoint has been optimized for
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suggest only search requests.
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[source,js]
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--------------------------------------------------
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POST twitter/_search
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{
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"query" : {
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"match": {
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"message": "tring out Elasticsearch"
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}
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},
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"suggest" : {
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"my-suggestion" : {
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"text" : "trying out Elasticsearch",
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"term" : {
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"field" : "message"
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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Several suggestions can be specified per request. Each suggestion is
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identified with an arbitrary name. In the example below two suggestions
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are requested. Both `my-suggest-1` and `my-suggest-2` suggestions use
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the `term` suggester, but have a different `text`.
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[source,js]
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--------------------------------------------------
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POST _search
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{
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"suggest": {
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"my-suggest-1" : {
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"text" : "tring out Elasticsearch",
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"term" : {
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"field" : "message"
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}
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},
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"my-suggest-2" : {
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"text" : "kmichy",
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"term" : {
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"field" : "user"
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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// TEST[setup:twitter]
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The below suggest response example includes the suggestion response for
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`my-suggest-1` and `my-suggest-2`. Each suggestion part contains
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entries. Each entry is effectively a token from the suggest text and
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contains the suggestion entry text, the original start offset and length
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in the suggest text and if found an arbitrary number of options.
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[source,js]
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--------------------------------------------------
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{
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"_shards": ...
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"hits": ...
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"took": 2,
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"timed_out": false,
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"suggest": {
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"my-suggest-1": [ {
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"text": "tring",
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"offset": 0,
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"length": 5,
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"options": [ {"text": "trying", "score": 0.8, "freq": 1 } ]
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}, {
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"text": "out",
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"offset": 6,
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"length": 3,
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"options": []
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}, {
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"text": "elasticsearch",
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"offset": 10,
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"length": 13,
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"options": []
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} ],
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"my-suggest-2": ...
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}
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}
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--------------------------------------------------
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// TESTRESPONSE[s/"_shards": \.\.\./"_shards": "$body._shards",/]
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// TESTRESPONSE[s/"hits": .../"hits": "$body.hits",/]
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// TESTRESPONSE[s/"took": 2,/"took": "$body.took",/]
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// TESTRESPONSE[s/"my-suggest-2": \.\.\./"my-suggest-2": "$body.suggest.my-suggest-2"/]
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Each options array contains an option object that includes the
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suggested text, its document frequency and score compared to the suggest
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entry text. The meaning of the score depends on the used suggester. The
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term suggester's score is based on the edit distance.
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[float]
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[[global-suggest]]
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=== Global suggest text
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To avoid repetition of the suggest text, it is possible to define a
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global text. In the example below the suggest text is defined globally
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and applies to the `my-suggest-1` and `my-suggest-2` suggestions.
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[source,js]
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--------------------------------------------------
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POST _search
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{
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"suggest": {
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"text" : "tring out Elasticsearch",
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"my-suggest-1" : {
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"term" : {
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"field" : "message"
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}
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},
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"my-suggest-2" : {
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"term" : {
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"field" : "user"
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}
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}
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}
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}
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--------------------------------------------------
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// CONSOLE
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The suggest text can in the above example also be specified as
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suggestion specific option. The suggest text specified on suggestion
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level override the suggest text on the global level.
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include::suggesters/term-suggest.asciidoc[]
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include::suggesters/phrase-suggest.asciidoc[]
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include::suggesters/completion-suggest.asciidoc[]
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include::suggesters/context-suggest.asciidoc[]
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include::suggesters/misc.asciidoc[]
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