forked from olivere/elastic
-
Notifications
You must be signed in to change notification settings - Fork 0
/
search_aggs_histogram.go
234 lines (205 loc) · 5.96 KB
/
search_aggs_histogram.go
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
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
// 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
}