1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215
use crate::search::*;
use crate::util::*;
use std::collections::BTreeSet;
/// Returns documents that contain one or more **exact** terms in a provided field.
/// The terms query is the same as the term query, except you can search for multiple values.
///
/// To create a terms query with numeric values:
/// ```
/// # use elasticsearch_dsl::queries::*;
/// # use elasticsearch_dsl::queries::params::*;
/// # let query =
/// Query::terms("test", vec![123]);
/// ```
/// To create a terms query with string values and optional fields:
/// ```
/// # use elasticsearch_dsl::queries::*;
/// # use elasticsearch_dsl::queries::params::*;
/// # let query =
/// Query::terms("test", vec!["username"])
/// .boost(2)
/// .name("test");
/// ```
/// To create a terms lookup query:
/// ```
/// # use elasticsearch_dsl::queries::*;
/// # use elasticsearch_dsl::queries::params::*;
/// # let query =
/// Query::terms_lookup("test", "index", "id", "path")
/// .routing("routing")
/// .boost(1.3)
/// .name("lookup");
/// ```
/// <https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-terms-query.html>
#[derive(Debug, Clone, PartialEq, Serialize)]
pub struct TermsQuery<T: Terms> {
#[serde(rename = "terms")]
inner: Inner<T>,
}
#[derive(Debug, Clone, PartialEq, Serialize)]
struct Inner<T: Terms> {
#[serde(flatten)]
pair: KeyValuePair<String, T>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
boost: Option<Boost>,
#[serde(skip_serializing_if = "ShouldSkip::should_skip")]
_name: Option<String>,
}
impl Query {
/// Creates an instance of [`TermsQuery`]
///
/// - `field` - Field you wish to search.
/// - `values` - An array of terms you wish to find in the provided field. To return a
/// document, one or more terms must exactly match a field value,
/// including whitespace and capitalization.<br>
/// By default, Elasticsearch limits the `terms` query to a maximum of
/// 65,536 terms. You can change this limit using the
/// [`index.max_terms_count setting`](https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules.html#index-max-terms-count).<br>
/// > To use the field values of an existing document as search terms,
/// use the [terms lookup](crate::TermsLookup) parameters.
pub fn terms<S, I>(field: S, values: I) -> TermsQuery<BTreeSet<Scalar>>
where
S: Into<String>,
I: IntoIterator,
I::Item: Into<Scalar>,
{
TermsQuery {
inner: Inner {
pair: KeyValuePair::new(field.into(), values.into_iter().map(Into::into).collect()),
boost: None,
_name: None,
},
}
}
/// Creates an instance of [`TermsQuery`]
///
/// - `field` - Field you wish to search.
/// - `index` - Name of the index from which to fetch field values.
/// - `id` - [ID](https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-id-field.html)
/// of the document from which to fetch field values.
/// - `path` - Name of the field from which to fetch field values. Elasticsearch uses
/// these values as search terms for the query. If the field values
/// include an array of nested inner objects, you can access those objects
/// using dot notation syntax.
pub fn terms_lookup<S: Into<String>>(
field: S,
index: S,
id: S,
path: S,
) -> TermsQuery<TermsLookup> {
TermsQuery {
inner: Inner {
pair: KeyValuePair::new(
field.into(),
TermsLookup {
index: index.into(),
id: id.into(),
path: path.into(),
routing: None,
},
),
boost: None,
_name: None,
},
}
}
}
impl<T: Terms> TermsQuery<T> {
add_boost_and_name!();
}
impl TermsQuery<TermsLookup> {
/// Custom [routing value](https://www.elastic.co/guide/en/elasticsearch/reference/current/mapping-routing-field.html)
/// of the document from which to fetch term values. If a custom routing
/// value was provided when the document was indexed, this parameter is
/// required.
pub fn routing(mut self, routing: impl Into<String>) -> Self {
self.inner.pair.value.routing = Some(routing.into());
self
}
}
impl ShouldSkip for TermsQuery<BTreeSet<Scalar>> {
fn should_skip(&self) -> bool {
self.inner.pair.value.should_skip()
}
}
impl ShouldSkip for TermsQuery<TermsLookup> {}
#[cfg(test)]
mod tests {
use super::*;
mod scalar {
use super::*;
test_serialization! {
with_required_fields(
Query::terms("test", vec![123, 12, 13]),
json!({"terms": { "test": [12, 13, 123] } })
);
with_all_fields(
Query::terms("test", vec![123]).boost(2).name("test"),
json!({
"terms": {
"test": [123],
"boost": 2,
"_name": "test",
}
})
);
}
#[test]
fn should_skip_when_there_are_no_values() {
let values: Vec<Scalar> = Vec::new();
let query = Query::terms("test", values);
assert!(query.should_skip())
}
#[test]
fn should_not_skip_when_there_are_no_values() {
let query = Query::terms("test", vec![123]);
assert!(!query.should_skip())
}
}
mod lookup {
use super::*;
test_serialization! {
with_required_fields(
Query::terms_lookup("test", "index_value", "id_value", "path_value"),
json!({
"terms": {
"test": {
"index": "index_value",
"id": "id_value",
"path": "path_value",
}
}
})
);
with_all_fields(
Query::terms_lookup("test", "index_value", "id_value", "path_value")
.routing("routing_value")
.boost(2)
.name("test"),
json!({
"terms": {
"test": {
"index": "index_value",
"id": "id_value",
"path": "path_value",
"routing": "routing_value"
},
"boost": 2,
"_name": "test",
}
})
);
}
}
}