A newer version is available. For the latest information, see the
current release documentation.
Distance Feature Query Usageedit
Boosts the relevance score of documents closer to a provided origin date or point. For example, you can use this query to give
more weight to documents closer to a certain date or location.
See the Elasticsearch documentation on distance feature query for more details.
Using a dateedit
An instance of DateMath can be provided as the origin, with pivot being a Time from the origin
Fluent DSL exampleedit
q
.DistanceFeature(rf => rf
.Boost(1.1)
.Field(f => f.StartedOn)
.Origin(DateMath.FromString("now"))
.Pivot(new Time("7d"))
)
Object Initializer syntax exampleedit
new DistanceFeatureQuery
{
Boost = 1.1,
Field = Infer.Field<Project>(f => f.StartedOn),
Origin = DateMath.FromString("now"),
Pivot = new Time("7d")
}
Example json output.
{
"distance_feature": {
"boost": 1.1,
"field": "startedOn",
"origin": "now",
"pivot": "7d"
}
}
Using a locationedit
You can use the distance_feature query to find the nearest neighbors to a location. You can also use the query in a bool search''s should filter to add boosted relevance scores to the bool query’s scores.
An instance of GeoCoordinate can be provided as the origin, with pivot being a Distance from the origin
Fluent DSL exampleedit
q
.DistanceFeature(rf => rf
.Name("name")
.Boost(1.1)
.Field(f => f.LeadDeveloper.Location)
.Origin(new GeoCoordinate(70, -70))
.Pivot(new Distance(100, DistanceUnit.Miles))
)
Object Initializer syntax exampleedit
new DistanceFeatureQuery()
{
Name = "name",
Boost = 1.1,
Field = Infer.Field<Project>(f => f.LeadDeveloper.Location),
Origin = new GeoCoordinate(70, -70),
Pivot = new Distance(100, DistanceUnit.Miles)
}
Example json output.
{
"distance_feature": {
"_name": "name",
"boost": 1.1,
"field": "leadDeveloper.location",
"origin": [
-70.0,
70.0
],
"pivot": "100mi"
}
}