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search_aggs_bucket_terms.go 8.62 KB
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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
// TermsAggregation is a multi-bucket value source based aggregation
// where buckets are dynamically built - one per unique value.
// See: http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/search-aggregations-bucket-terms-aggregation.html
type TermsAggregation struct {
field string
script *Script
missing interface{}
subAggregations map[string]Aggregation
meta map[string]interface{}
size *int
shardSize *int
requiredSize *int
minDocCount *int
shardMinDocCount *int
valueType string
order string
orderAsc bool
includePattern string
includeFlags *int
excludePattern string
excludeFlags *int
executionHint string
collectionMode string
showTermDocCountError *bool
includeTerms []string
excludeTerms []string
}
func NewTermsAggregation() *TermsAggregation {
return &TermsAggregation{
subAggregations: make(map[string]Aggregation, 0),
includeTerms: make([]string, 0),
excludeTerms: make([]string, 0),
}
}
func (a *TermsAggregation) Field(field string) *TermsAggregation {
a.field = field
return a
}
func (a *TermsAggregation) Script(script *Script) *TermsAggregation {
a.script = script
return a
}
// Missing configures the value to use when documents miss a value.
func (a *TermsAggregation) Missing(missing interface{}) *TermsAggregation {
a.missing = missing
return a
}
func (a *TermsAggregation) SubAggregation(name string, subAggregation Aggregation) *TermsAggregation {
a.subAggregations[name] = subAggregation
return a
}
// Meta sets the meta data to be included in the aggregation response.
func (a *TermsAggregation) Meta(metaData map[string]interface{}) *TermsAggregation {
a.meta = metaData
return a
}
func (a *TermsAggregation) Size(size int) *TermsAggregation {
a.size = &size
return a
}
func (a *TermsAggregation) RequiredSize(requiredSize int) *TermsAggregation {
a.requiredSize = &requiredSize
return a
}
func (a *TermsAggregation) ShardSize(shardSize int) *TermsAggregation {
a.shardSize = &shardSize
return a
}
func (a *TermsAggregation) MinDocCount(minDocCount int) *TermsAggregation {
a.minDocCount = &minDocCount
return a
}
func (a *TermsAggregation) ShardMinDocCount(shardMinDocCount int) *TermsAggregation {
a.shardMinDocCount = &shardMinDocCount
return a
}
func (a *TermsAggregation) Include(regexp string) *TermsAggregation {
a.includePattern = regexp
return a
}
func (a *TermsAggregation) IncludeWithFlags(regexp string, flags int) *TermsAggregation {
a.includePattern = regexp
a.includeFlags = &flags
return a
}
func (a *TermsAggregation) Exclude(regexp string) *TermsAggregation {
a.excludePattern = regexp
return a
}
func (a *TermsAggregation) ExcludeWithFlags(regexp string, flags int) *TermsAggregation {
a.excludePattern = regexp
a.excludeFlags = &flags
return a
}
// ValueType can be string, long, or double.
func (a *TermsAggregation) ValueType(valueType string) *TermsAggregation {
a.valueType = valueType
return a
}
func (a *TermsAggregation) Order(order string, asc bool) *TermsAggregation {
a.order = order
a.orderAsc = asc
return a
}
func (a *TermsAggregation) OrderByCount(asc bool) *TermsAggregation {
// "order" : { "_count" : "asc" }
a.order = "_count"
a.orderAsc = asc
return a
}
func (a *TermsAggregation) OrderByCountAsc() *TermsAggregation {
return a.OrderByCount(true)
}
func (a *TermsAggregation) OrderByCountDesc() *TermsAggregation {
return a.OrderByCount(false)
}
func (a *TermsAggregation) OrderByTerm(asc bool) *TermsAggregation {
// "order" : { "_term" : "asc" }
a.order = "_term"
a.orderAsc = asc
return a
}
func (a *TermsAggregation) OrderByTermAsc() *TermsAggregation {
return a.OrderByTerm(true)
}
func (a *TermsAggregation) OrderByTermDesc() *TermsAggregation {
return a.OrderByTerm(false)
}
// OrderByAggregation creates a bucket ordering strategy which sorts buckets
// based on a single-valued calc get.
func (a *TermsAggregation) OrderByAggregation(aggName string, asc bool) *TermsAggregation {
// {
// "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 *TermsAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) *TermsAggregation {
// {
// "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 *TermsAggregation) ExecutionHint(hint string) *TermsAggregation {
a.executionHint = hint
return a
}
// Collection mode can be depth_first or breadth_first as of 1.4.0.
func (a *TermsAggregation) CollectionMode(collectionMode string) *TermsAggregation {
a.collectionMode = collectionMode
return a
}
func (a *TermsAggregation) ShowTermDocCountError(showTermDocCountError bool) *TermsAggregation {
a.showTermDocCountError = &showTermDocCountError
return a
}
func (a *TermsAggregation) IncludeTerms(terms ...string) *TermsAggregation {
a.includeTerms = append(a.includeTerms, terms...)
return a
}
func (a *TermsAggregation) ExcludeTerms(terms ...string) *TermsAggregation {
a.excludeTerms = append(a.excludeTerms, terms...)
return a
}
func (a *TermsAggregation) Source() (interface{}, error) {
// Example:
// {
// "aggs" : {
// "genders" : {
// "terms" : { "field" : "gender" }
// }
// }
// }
// This method returns only the { "terms" : { "field" : "gender" } } part.
source := make(map[string]interface{})
opts := make(map[string]interface{})
source["terms"] = 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
}
// TermsBuilder
if a.size != nil && *a.size >= 0 {
opts["size"] = *a.size
}
if a.shardSize != nil && *a.shardSize >= 0 {
opts["shard_size"] = *a.shardSize
}
if a.requiredSize != nil && *a.requiredSize >= 0 {
opts["required_size"] = *a.requiredSize
}
if a.minDocCount != nil && *a.minDocCount >= 0 {
opts["min_doc_count"] = *a.minDocCount
}
if a.shardMinDocCount != nil && *a.shardMinDocCount >= 0 {
opts["shard_min_doc_count"] = *a.shardMinDocCount
}
if a.showTermDocCountError != nil {
opts["show_term_doc_count_error"] = *a.showTermDocCountError
}
if a.collectionMode != "" {
opts["collect_mode"] = a.collectionMode
}
if a.valueType != "" {
opts["value_type"] = a.valueType
}
if a.order != "" {
o := make(map[string]interface{})
if a.orderAsc {
o[a.order] = "asc"
} else {
o[a.order] = "desc"
}
opts["order"] = o
}
if len(a.includeTerms) > 0 {
opts["include"] = a.includeTerms
}
if a.includePattern != "" {
if a.includeFlags == nil || *a.includeFlags == 0 {
opts["include"] = a.includePattern
} else {
p := make(map[string]interface{})
p["pattern"] = a.includePattern
p["flags"] = *a.includeFlags
opts["include"] = p
}
}
if len(a.excludeTerms) > 0 {
opts["exclude"] = a.excludeTerms
}
if a.excludePattern != "" {
if a.excludeFlags == nil || *a.excludeFlags == 0 {
opts["exclude"] = a.excludePattern
} else {
p := make(map[string]interface{})
p["pattern"] = a.excludePattern
p["flags"] = *a.excludeFlags
opts["exclude"] = p
}
}
if a.executionHint != "" {
opts["execution_hint"] = a.executionHint
}
// 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
}
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