IMPORTANT: No additional bug fixes or documentation updates
will be released for this version. For the latest information, see the
current release documentation.
index_options
editindex_options
editThe index_options
parameter controls what information is added to the
inverted index for search and highlighting purposes. Only term-based field
types like text
and keyword
support this
configuration.
The parameter accepts one of the following values. Each value retrieves
information from the previous listed values. For example, freqs
contains
docs
; positions
contains both freqs
and docs
.
-
docs
- Only the doc number is indexed. Can answer the question Does this term exist in this field?
-
freqs
- Doc number and term frequencies are indexed. Term frequencies are used to score repeated terms higher than single terms.
-
positions
(default) - Doc number, term frequencies, and term positions (or order) are indexed. Positions can be used for proximity or phrase queries.
-
offsets
- Doc number, term frequencies, positions, and start and end character offsets (which map the term back to the original string) are indexed. Offsets are used by the unified highlighter to speed up highlighting.
resp = client.indices.create( index="my-index-000001", mappings={ "properties": { "text": { "type": "text", "index_options": "offsets" } } }, ) print(resp) resp1 = client.index( index="my-index-000001", id="1", document={ "text": "Quick brown fox" }, ) print(resp1) resp2 = client.search( index="my-index-000001", query={ "match": { "text": "brown fox" } }, highlight={ "fields": { "text": {} } }, ) print(resp2)
response = client.indices.create( index: 'my-index-000001', body: { mappings: { properties: { text: { type: 'text', index_options: 'offsets' } } } } ) puts response response = client.index( index: 'my-index-000001', id: 1, body: { text: 'Quick brown fox' } ) puts response response = client.search( index: 'my-index-000001', body: { query: { match: { text: 'brown fox' } }, highlight: { fields: { text: {} } } } ) puts response
const response = await client.indices.create({ index: "my-index-000001", mappings: { properties: { text: { type: "text", index_options: "offsets", }, }, }, }); console.log(response); const response1 = await client.index({ index: "my-index-000001", id: 1, document: { text: "Quick brown fox", }, }); console.log(response1); const response2 = await client.search({ index: "my-index-000001", query: { match: { text: "brown fox", }, }, highlight: { fields: { text: {}, }, }, }); console.log(response2);