File: search_aggs_bucket_date_histogram.go

package info (click to toggle)
golang-gopkg-olivere-elastic.v5 5.0.83-1
  • links: PTS, VCS
  • area: main
  • in suites: bullseye, sid
  • size: 2,848 kB
  • sloc: makefile: 18; sh: 2
file content (296 lines) | stat: -rw-r--r-- 8,596 bytes parent folder | download
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
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
// 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/5.2/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
	keyed             *bool
}

// 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
}

// Keyed specifies whether to return the results with a keyed response (or not).
// See https://www.elastic.co/guide/en/elasticsearch/reference/5.6/search-aggregations-bucket-datehistogram-aggregation.html#_keyed_response_3.
func (a *DateHistogramAggregation) Keyed(keyed bool) *DateHistogramAggregation {
	a.keyed = &keyed
	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
	}
	if a.keyed != nil {
		opts["keyed"] = *a.keyed
	}

	// 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
}