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search_aggs_bucket_date_histogram.go
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search_aggs_bucket_date_histogram.go
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// Copyright 2012-present Oliver Eilhard. All rights reserved.
// Use of this source code is governed by a MIT-license.
// See http://olivere.mit-license.org/license.txt for details.
package elastic
// DateHistogramAggregation is a multi-bucket aggregation similar to the
// histogram except it can only be applied on date values.
// See: https://www.elastic.co/guide/en/elasticsearch/reference/6.2/search-aggregations-bucket-datehistogram-aggregation.html
type DateHistogramAggregation struct {
field string
script *Script
missing interface{}
subAggregations map[string]Aggregation
meta map[string]interface{}
interval string
order string
orderAsc bool
minDocCount *int64
extendedBoundsMin interface{}
extendedBoundsMax interface{}
timeZone string
format string
offset string
}
// NewDateHistogramAggregation creates a new DateHistogramAggregation.
func NewDateHistogramAggregation() *DateHistogramAggregation {
return &DateHistogramAggregation{
subAggregations: make(map[string]Aggregation),
}
}
// Field on which the aggregation is processed.
func (a *DateHistogramAggregation) Field(field string) *DateHistogramAggregation {
a.field = field
return a
}
func (a *DateHistogramAggregation) Script(script *Script) *DateHistogramAggregation {
a.script = script
return a
}
// Missing configures the value to use when documents miss a value.
func (a *DateHistogramAggregation) Missing(missing interface{}) *DateHistogramAggregation {
a.missing = missing
return a
}
func (a *DateHistogramAggregation) SubAggregation(name string, subAggregation Aggregation) *DateHistogramAggregation {
a.subAggregations[name] = subAggregation
return a
}
// Meta sets the meta data to be included in the aggregation response.
func (a *DateHistogramAggregation) Meta(metaData map[string]interface{}) *DateHistogramAggregation {
a.meta = metaData
return a
}
// Interval by which the aggregation gets processed.
// Allowed values are: "year", "quarter", "month", "week", "day",
// "hour", "minute". It also supports time settings like "1.5h"
// (up to "w" for weeks).
func (a *DateHistogramAggregation) Interval(interval string) *DateHistogramAggregation {
a.interval = interval
return a
}
// Order specifies the sort order. Valid values for order are:
// "_key", "_count", a sub-aggregation name, or a sub-aggregation name
// with a metric.
func (a *DateHistogramAggregation) Order(order string, asc bool) *DateHistogramAggregation {
a.order = order
a.orderAsc = asc
return a
}
func (a *DateHistogramAggregation) OrderByCount(asc bool) *DateHistogramAggregation {
// "order" : { "_count" : "asc" }
a.order = "_count"
a.orderAsc = asc
return a
}
func (a *DateHistogramAggregation) OrderByCountAsc() *DateHistogramAggregation {
return a.OrderByCount(true)
}
func (a *DateHistogramAggregation) OrderByCountDesc() *DateHistogramAggregation {
return a.OrderByCount(false)
}
func (a *DateHistogramAggregation) OrderByKey(asc bool) *DateHistogramAggregation {
// "order" : { "_key" : "asc" }
a.order = "_key"
a.orderAsc = asc
return a
}
func (a *DateHistogramAggregation) OrderByKeyAsc() *DateHistogramAggregation {
return a.OrderByKey(true)
}
func (a *DateHistogramAggregation) OrderByKeyDesc() *DateHistogramAggregation {
return a.OrderByKey(false)
}
// OrderByAggregation creates a bucket ordering strategy which sorts buckets
// based on a single-valued calc get.
func (a *DateHistogramAggregation) OrderByAggregation(aggName string, asc bool) *DateHistogramAggregation {
// {
// "aggs" : {
// "genders" : {
// "terms" : {
// "field" : "gender",
// "order" : { "avg_height" : "desc" }
// },
// "aggs" : {
// "avg_height" : { "avg" : { "field" : "height" } }
// }
// }
// }
// }
a.order = aggName
a.orderAsc = asc
return a
}
// OrderByAggregationAndMetric creates a bucket ordering strategy which
// sorts buckets based on a multi-valued calc get.
func (a *DateHistogramAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) *DateHistogramAggregation {
// {
// "aggs" : {
// "genders" : {
// "terms" : {
// "field" : "gender",
// "order" : { "height_stats.avg" : "desc" }
// },
// "aggs" : {
// "height_stats" : { "stats" : { "field" : "height" } }
// }
// }
// }
// }
a.order = aggName + "." + metric
a.orderAsc = asc
return a
}
// MinDocCount sets the minimum document count per bucket.
// Buckets with less documents than this min value will not be returned.
func (a *DateHistogramAggregation) MinDocCount(minDocCount int64) *DateHistogramAggregation {
a.minDocCount = &minDocCount
return a
}
// TimeZone sets the timezone in which to translate dates before computing buckets.
func (a *DateHistogramAggregation) TimeZone(timeZone string) *DateHistogramAggregation {
a.timeZone = timeZone
return a
}
// Format sets the format to use for dates.
func (a *DateHistogramAggregation) Format(format string) *DateHistogramAggregation {
a.format = format
return a
}
// Offset sets the offset of time intervals in the histogram, e.g. "+6h".
func (a *DateHistogramAggregation) Offset(offset string) *DateHistogramAggregation {
a.offset = offset
return a
}
// ExtendedBounds accepts int, int64, string, or time.Time values.
// In case the lower value in the histogram would be greater than min or the
// upper value would be less than max, empty buckets will be generated.
func (a *DateHistogramAggregation) ExtendedBounds(min, max interface{}) *DateHistogramAggregation {
a.extendedBoundsMin = min
a.extendedBoundsMax = max
return a
}
// ExtendedBoundsMin accepts int, int64, string, or time.Time values.
func (a *DateHistogramAggregation) ExtendedBoundsMin(min interface{}) *DateHistogramAggregation {
a.extendedBoundsMin = min
return a
}
// ExtendedBoundsMax accepts int, int64, string, or time.Time values.
func (a *DateHistogramAggregation) ExtendedBoundsMax(max interface{}) *DateHistogramAggregation {
a.extendedBoundsMax = max
return a
}
func (a *DateHistogramAggregation) Source() (interface{}, error) {
// Example:
// {
// "aggs" : {
// "articles_over_time" : {
// "date_histogram" : {
// "field" : "date",
// "interval" : "month"
// }
// }
// }
// }
//
// This method returns only the { "date_histogram" : { ... } } part.
source := make(map[string]interface{})
opts := make(map[string]interface{})
source["date_histogram"] = opts
// ValuesSourceAggregationBuilder
if a.field != "" {
opts["field"] = a.field
}
if a.script != nil {
src, err := a.script.Source()
if err != nil {
return nil, err
}
opts["script"] = src
}
if a.missing != nil {
opts["missing"] = a.missing
}
opts["interval"] = a.interval
if a.minDocCount != nil {
opts["min_doc_count"] = *a.minDocCount
}
if a.order != "" {
o := make(map[string]interface{})
if a.orderAsc {
o[a.order] = "asc"
} else {
o[a.order] = "desc"
}
opts["order"] = o
}
if a.timeZone != "" {
opts["time_zone"] = a.timeZone
}
if a.offset != "" {
opts["offset"] = a.offset
}
if a.format != "" {
opts["format"] = a.format
}
if a.extendedBoundsMin != nil || a.extendedBoundsMax != nil {
bounds := make(map[string]interface{})
if a.extendedBoundsMin != nil {
bounds["min"] = a.extendedBoundsMin
}
if a.extendedBoundsMax != nil {
bounds["max"] = a.extendedBoundsMax
}
opts["extended_bounds"] = bounds
}
// AggregationBuilder (SubAggregations)
if len(a.subAggregations) > 0 {
aggsMap := make(map[string]interface{})
source["aggregations"] = aggsMap
for name, aggregate := range a.subAggregations {
src, err := aggregate.Source()
if err != nil {
return nil, err
}
aggsMap[name] = src
}
}
// Add Meta data if available
if len(a.meta) > 0 {
source["meta"] = a.meta
}
return source, nil
}