search_analyzer
editsearch_analyzer
editUsually, the same analyzer should be applied at index time and at search time, to ensure that the terms in the query are in the same format as the terms in the inverted index.
Sometimes, though, it can make sense to use a different analyzer at search
time, such as when using the edge_ngram
tokenizer for autocomplete or when using search-time synonyms.
By default, queries will use the analyzer
defined in the field mapping, but
this can be overridden with the search_analyzer
setting:
PUT my-index-000001 { "settings": { "analysis": { "filter": { "autocomplete_filter": { "type": "edge_ngram", "min_gram": 1, "max_gram": 20 } }, "analyzer": { "autocomplete": { "type": "custom", "tokenizer": "standard", "filter": [ "lowercase", "autocomplete_filter" ] } } } }, "mappings": { "properties": { "text": { "type": "text", "analyzer": "autocomplete", "search_analyzer": "standard" } } } } PUT my-index-000001/_doc/1 { "text": "Quick Brown Fox" } GET my-index-000001/_search { "query": { "match": { "text": { "query": "Quick Br", "operator": "and" } } } }
Analysis settings to define the custom |
|
The |
|
This field is indexed as the terms: [ |
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The query searches for both of these terms: [ |
See Index time search-as-you- type for a full explanation of this example.
The search_analyzer
setting can be updated on existing fields
using the update mapping API. Note, that in order to do so,
any existing "analyzer" setting and "type" need to be repeated in the updated field definition.