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src/search/aggregations/bucket/date_histogram_aggregation.rs
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use crate::search::*; | ||
use crate::util::*; | ||
use chrono::{DateTime, Utc}; | ||
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/// This multi-bucket aggregation is similar to the normal histogram, but it can only be used with date or date range | ||
/// values. Because dates are represented internally in Elasticsearch as long values, it is possible, but not as | ||
/// accurate, to use the normal histogram on dates as well. The main difference in the two APIs is that here the | ||
/// interval can be specified using date/time expressions. Time-based data requires special support because time-based | ||
/// intervals are not always a fixed length. | ||
/// | ||
/// <https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-datehistogram-aggregation.html> | ||
#[derive(Debug, Clone, Serialize, PartialEq)] | ||
pub struct DateHistogramAggregation { | ||
date_histogram: DateHistogramAggregationInner, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
aggs: Aggregations, | ||
} | ||
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#[derive(Debug, Clone, Serialize, PartialEq)] | ||
struct DateHistogramAggregationInner { | ||
field: String, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
calendar_interval: Option<CalendarInterval>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
fixed_interval: Option<Time>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
min_doc_count: Option<u32>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
missing: Option<DateTime<Utc>>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
offset: Option<String>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
time_zone: Option<String>, | ||
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#[serde(skip_serializing_if = "ShouldSkip::should_skip")] | ||
order: TermsOrderCollection, | ||
} | ||
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impl Aggregation { | ||
/// Creates an instance of [`DateHistogramAggregation`] | ||
/// | ||
/// - `field` - field to group by | ||
pub fn date_histogram<T>(field: T) -> DateHistogramAggregation | ||
where | ||
T: ToString, | ||
{ | ||
DateHistogramAggregation { | ||
date_histogram: DateHistogramAggregationInner { | ||
field: field.to_string(), | ||
calendar_interval: None, | ||
fixed_interval: None, | ||
min_doc_count: None, | ||
missing: None, | ||
offset: None, | ||
time_zone: None, | ||
order: Default::default(), | ||
}, | ||
aggs: Aggregations::new(), | ||
} | ||
} | ||
} | ||
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impl DateHistogramAggregation { | ||
/// Calendar-aware intervals are configured with the calendar_interval parameter | ||
pub fn calendar_interval(mut self, calendar_interval: CalendarInterval) -> Self { | ||
self.date_histogram.calendar_interval = Some(calendar_interval); | ||
self | ||
} | ||
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/// In contrast to calendar-aware intervals, fixed intervals are a fixed number of SI units and never deviate, | ||
/// regardless of where they fall on the calendar. One second is always composed of 1000ms. This allows fixed | ||
/// intervals to be specified in any multiple of the supported units. | ||
pub fn fixed_interval(mut self, fixed_interval: Time) -> Self { | ||
self.date_histogram.fixed_interval = Some(fixed_interval); | ||
self | ||
} | ||
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/// Only returns terms that match more than a configured number of hits using the `min_doc_count` | ||
/// | ||
/// Default value is `1` | ||
pub fn min_doc_count(mut self, min_doc_count: u32) -> Self { | ||
self.date_histogram.min_doc_count = Some(min_doc_count); | ||
self | ||
} | ||
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/// The missing parameter defines how documents that are missing a value should be treated. | ||
/// By default they will be ignored but it is also possible to treat them as if they had a value. | ||
pub fn missing(mut self, missing: DateTime<Utc>) -> Self { | ||
self.date_histogram.missing = Some(missing); | ||
self | ||
} | ||
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/// Use the offset parameter to change the start value of each bucket by the specified positive (+) or negative | ||
/// offset (-) duration, such as 1h for an hour, or 1d for a day. See Time units for more possible time duration | ||
/// options. | ||
pub fn offset<T>(mut self, offset: T) -> Self | ||
where | ||
T: ToString, | ||
{ | ||
self.date_histogram.offset = Some(offset.to_string()); | ||
self | ||
} | ||
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/// Elasticsearch stores date-times in Coordinated Universal Time (UTC). By default, all bucketing and rounding is | ||
/// also done in UTC. Use the time_zone parameter to indicate that bucketing should use a different time zone. | ||
pub fn time_zone<T>(mut self, time_zone: T) -> Self | ||
where | ||
T: ToString, | ||
{ | ||
self.date_histogram.time_zone = Some(time_zone.to_string()); | ||
self | ||
} | ||
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/// The order of the buckets can be customized by setting the order parameter. | ||
/// By default, the buckets are ordered by their doc_count descending. | ||
/// Order field allows changing this behavior. | ||
/// | ||
/// > Sorting by ascending `_count` or by sub aggregation is discouraged as it increases the | ||
/// [error](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html#search-aggregations-bucket-terms-aggregation-approximate-counts) | ||
/// on document counts. It is fine when a single shard is queried, or when the field that is | ||
/// being aggregated was used as a routing key at index time: in these cases results will be | ||
/// accurate since shards have disjoint values. However otherwise, errors are unbounded. | ||
/// One particular case that could still be useful is sorting by | ||
/// [min](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-min-aggregation.html) or | ||
/// [max](https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-max-aggregation.html) | ||
/// aggregation: counts will not be accurate but at least the top buckets will be correctly picked. | ||
pub fn order<T>(mut self, order: T) -> Self | ||
where | ||
T: Into<TermsOrderCollection>, | ||
{ | ||
self.date_histogram.order = order.into(); | ||
self | ||
} | ||
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add_aggregate!(); | ||
} | ||
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#[cfg(test)] | ||
mod tests { | ||
use super::*; | ||
use chrono::prelude::*; | ||
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#[test] | ||
fn serialization() { | ||
assert_serialize_aggregation( | ||
Aggregation::date_histogram("test_field"), | ||
json!({ "date_histogram": { "field": "test_field" } }), | ||
); | ||
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assert_serialize_aggregation( | ||
Aggregation::date_histogram("test_field") | ||
.calendar_interval(CalendarInterval::Day) | ||
.fixed_interval(Time::Hours(1)) | ||
.min_doc_count(2) | ||
.missing( | ||
Utc.with_ymd_and_hms(2014, 11, 28, 12, 0, 4) | ||
.single() | ||
.unwrap(), | ||
) | ||
.order(TermsOrder::new("test_order", SortOrder::Asc)) | ||
.offset("+6h") | ||
.time_zone("-01:00"), | ||
json!({ | ||
"date_histogram": { | ||
"field": "test_field", | ||
"calendar_interval": "day", | ||
"fixed_interval": "1h", | ||
"min_doc_count": 2, | ||
"missing": "2014-11-28T12:00:04Z", | ||
"order": [ | ||
{ "test_order": "asc" } | ||
], | ||
"offset": "+6h", | ||
"time_zone": "-01:00" | ||
} | ||
}), | ||
); | ||
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assert_serialize_aggregation( | ||
Aggregation::date_histogram("test_field") | ||
.aggregate("test_sub_agg", Aggregation::terms("test_field2")), | ||
json!({ | ||
"date_histogram": { | ||
"field": "test_field", | ||
}, | ||
"aggs": { | ||
"test_sub_agg": { | ||
"terms": { | ||
"field": "test_field2" | ||
} | ||
} | ||
} | ||
}), | ||
); | ||
} | ||
} |
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