A newer version is available. For the latest information, see the
current release documentation.
Rank Feature Query Usageedit
The rank_feature query is a specialized query that only works on rank_feature fields and rank_features fields.
Its goal is to boost the score of documents based on the values of numeric features. It is typically put in a should clause of a bool query
so that its score is added to the score of the query.
Compared to using function_score or other ways to modify the score, this query has the benefit of being able to efficiently
skip non-competitive hits when track_total_hits is not set to true. Speedups may be spectacular.
See the Elasticsearch documentation on rank feature query for more details.
Fluent DSL exampleedit
q
.RankFeature(rf => rf
.Name("named_query")
.Boost(1.1)
.Field(f => f.Rank)
.Saturation()
)
Object Initializer syntax exampleedit
new RankFeatureQuery()
{
Name = "named_query",
Boost = 1.1,
Field = Infer.Field<Project>(f => f.Rank),
Function = new RankFeatureSaturationFunction()
}
Example json output.
{
"rank_feature": {
"_name": "named_query",
"boost": 1.1,
"field": "rank",
"saturation": {}
}
}
Fluent DSL exampleedit
q
.RankFeature(rf => rf
.Name("named_query")
.Boost(1.1)
.Field(f => f.Rank)
)
Object Initializer syntax exampleedit
new RankFeatureQuery
{
Name = "named_query",
Boost = 1.1,
Field = Infer.Field<Project>(f => f.Rank),
}
Example json output.
{
"rank_feature": {
"_name": "named_query",
"boost": 1.1,
"field": "rank"
}
}
Fluent DSL exampleedit
q
.RankFeature(rf => rf
.Name("named_query")
.Boost(1.1)
.Field(f => f.Rank)
.Linear())
Object Initializer syntax exampleedit
new RankFeatureQuery
{
Name = "named_query",
Boost = 1.1,
Field = Infer.Field<Project>(f => f.Rank),
Function = new RankFeatureLinearFunction()
}
Example json output.
{
"rank_feature": {
"_name": "named_query",
"boost": 1.1,
"field": "rank",
"linear": {}
}
}