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// Copyright 2012-2015 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
// HistogramAggregation is a multi-bucket values source based aggregation
// that can be applied on numeric values extracted from the documents.
// It dynamically builds fixed size (a.k.a. interval) buckets over the
// values.
// See: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-aggregations-bucket-histogram-aggregation.html
type HistogramAggregation struct {
field string
script string
scriptFile string
lang string
params map[string]interface{}
subAggregations map[string]Aggregation
interval int64
order string
orderAsc bool
minDocCount *int64
extendedBoundsMin *int64
extendedBoundsMax *int64
}
func NewHistogramAggregation() HistogramAggregation {
a := HistogramAggregation{
params: make(map[string]interface{}),
subAggregations: make(map[string]Aggregation),
}
return a
}
func (a HistogramAggregation) Field(field string) HistogramAggregation {
a.field = field
return a
}
func (a HistogramAggregation) Script(script string) HistogramAggregation {
a.script = script
return a
}
func (a HistogramAggregation) ScriptFile(scriptFile string) HistogramAggregation {
a.scriptFile = scriptFile
return a
}
func (a HistogramAggregation) Lang(lang string) HistogramAggregation {
a.lang = lang
return a
}
func (a HistogramAggregation) Param(name string, value interface{}) HistogramAggregation {
a.params[name] = value
return a
}
func (a HistogramAggregation) SubAggregation(name string, subAggregation Aggregation) HistogramAggregation {
a.subAggregations[name] = subAggregation
return a
}
func (a HistogramAggregation) Interval(interval int64) HistogramAggregation {
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 HistogramAggregation) Order(order string, asc bool) HistogramAggregation {
a.order = order
a.orderAsc = asc
return a
}
func (a HistogramAggregation) OrderByCount(asc bool) HistogramAggregation {
// "order" : { "_count" : "asc" }
a.order = "_count"
a.orderAsc = asc
return a
}
func (a HistogramAggregation) OrderByCountAsc() HistogramAggregation {
return a.OrderByCount(true)
}
func (a HistogramAggregation) OrderByCountDesc() HistogramAggregation {
return a.OrderByCount(false)
}
func (a HistogramAggregation) OrderByKey(asc bool) HistogramAggregation {
// "order" : { "_key" : "asc" }
a.order = "_key"
a.orderAsc = asc
return a
}
func (a HistogramAggregation) OrderByKeyAsc() HistogramAggregation {
return a.OrderByKey(true)
}
func (a HistogramAggregation) OrderByKeyDesc() HistogramAggregation {
return a.OrderByKey(false)
}
// OrderByAggregation creates a bucket ordering strategy which sorts buckets
// based on a single-valued calc get.
func (a HistogramAggregation) OrderByAggregation(aggName string, asc bool) HistogramAggregation {
// {
// "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 HistogramAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) HistogramAggregation {
// {
// "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
}
func (a HistogramAggregation) MinDocCount(minDocCount int64) HistogramAggregation {
a.minDocCount = &minDocCount
return a
}
func (a HistogramAggregation) ExtendedBoundsMin(min int64) HistogramAggregation {
a.extendedBoundsMin = &min
return a
}
func (a HistogramAggregation) ExtendedBoundsMax(max int64) HistogramAggregation {
a.extendedBoundsMax = &max
return a
}
func (a HistogramAggregation) Source() interface{} {
// Example:
// {
// "aggs" : {
// "prices" : {
// "histogram" : {
// "field" : "price",
// "interval" : 50
// }
// }
// }
// }
//
// This method returns only the { "histogram" : { ... } } part.
source := make(map[string]interface{})
opts := make(map[string]interface{})
source["histogram"] = opts
// ValuesSourceAggregationBuilder
if a.field != "" {
opts["field"] = a.field
}
if a.script != "" {
opts["script"] = a.script
}
if a.lang != "" {
opts["lang"] = a.lang
}
if len(a.params) > 0 {
opts["params"] = a.params
}
opts["interval"] = a.interval
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.minDocCount != nil {
opts["min_doc_count"] = *a.minDocCount
}
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 {
aggsMap[name] = aggregate.Source()
}
}
return source
}
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