Rank features data type
editRank features data type
editA rank_features
field can index numeric feature vectors, so that they can
later be used to boost documents in queries with a
rank_feature
query.
It is analogous to the rank_feature
data type but is better suited
when the list of features is sparse so that it wouldn’t be reasonable to add
one field to the mappings for each of them.
PUT my-index-000001 { "mappings": { "properties": { "topics": { "type": "rank_features" } } } } PUT my-index-000001/_doc/1 { "topics": { "politics": 20, "economics": 50.8 } } PUT my-index-000001/_doc/2 { "topics": { "politics": 5.2, "sports": 80.1 } } GET my-index-000001/_search { "query": { "rank_feature": { "field": "topics.politics" } } }
Rank features fields must use the |
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Rank features fields must be a hash with string keys and strictly positive numeric values |
rank_features
fields only support single-valued features and strictly
positive values. Multi-valued fields and zero or negative values will be rejected.
rank_features
fields do not support sorting or aggregating and may
only be queried using rank_feature
queries.
rank_features
fields only preserve 9 significant bits for the
precision, which translates to a relative error of about 0.4%.