This change adds `access` format support for notifications to a Elasticsearch server, and it refactors `namespace` format support. In the case of `access` format, for each event in Minio, a JSON document is inserted into Elasticsearch with its timestamp set to the event's timestamp, and with the ID generated automatically by elasticsearch. No events are modified or deleted in this mode. In the case of `namespace` format, for each event in Minio, a JSON document is keyed together by the bucket and object name is updated in Elasticsearch. In the case of an object being created or over-written in Minio, a new document or an existing document is inserted into the Elasticsearch index. If an object is deleted in Minio, the corresponding document is deleted from the Elasticsearch index. Additionally, this change upgrades Elasticsearch support to the 5.x series. This is a breaking change, and users of previous elasticsearch versions should upgrade. Also updates documentation on Elasticsearch notification target usage and has a link to an elasticsearch upgrade guide. This is the last patch that finally resolves #3928.
253 lines
6.5 KiB
Go
253 lines
6.5 KiB
Go
// Copyright 2012-present Oliver Eilhard. All rights reserved.
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// Use of this source code is governed by a MIT-license.
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// See http://olivere.mit-license.org/license.txt for details.
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package elastic
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// HistogramAggregation is a multi-bucket values source based aggregation
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// that can be applied on numeric values extracted from the documents.
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// It dynamically builds fixed size (a.k.a. interval) buckets over the
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// values.
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// See: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-histogram-aggregation.html
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type HistogramAggregation struct {
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field string
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script *Script
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missing interface{}
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subAggregations map[string]Aggregation
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meta map[string]interface{}
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interval int64
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order string
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orderAsc bool
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minDocCount *int64
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extendedBoundsMin *int64
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extendedBoundsMax *int64
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offset *int64
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}
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func NewHistogramAggregation() *HistogramAggregation {
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return &HistogramAggregation{
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subAggregations: make(map[string]Aggregation),
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}
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}
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func (a *HistogramAggregation) Field(field string) *HistogramAggregation {
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a.field = field
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return a
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}
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func (a *HistogramAggregation) Script(script *Script) *HistogramAggregation {
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a.script = script
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return a
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}
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// Missing configures the value to use when documents miss a value.
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func (a *HistogramAggregation) Missing(missing interface{}) *HistogramAggregation {
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a.missing = missing
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return a
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}
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func (a *HistogramAggregation) SubAggregation(name string, subAggregation Aggregation) *HistogramAggregation {
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a.subAggregations[name] = subAggregation
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return a
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}
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// Meta sets the meta data to be included in the aggregation response.
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func (a *HistogramAggregation) Meta(metaData map[string]interface{}) *HistogramAggregation {
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a.meta = metaData
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return a
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}
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func (a *HistogramAggregation) Interval(interval int64) *HistogramAggregation {
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a.interval = interval
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return a
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}
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// Order specifies the sort order. Valid values for order are:
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// "_key", "_count", a sub-aggregation name, or a sub-aggregation name
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// with a metric.
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func (a *HistogramAggregation) Order(order string, asc bool) *HistogramAggregation {
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a.order = order
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByCount(asc bool) *HistogramAggregation {
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// "order" : { "_count" : "asc" }
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a.order = "_count"
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByCountAsc() *HistogramAggregation {
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return a.OrderByCount(true)
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}
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func (a *HistogramAggregation) OrderByCountDesc() *HistogramAggregation {
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return a.OrderByCount(false)
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}
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func (a *HistogramAggregation) OrderByKey(asc bool) *HistogramAggregation {
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// "order" : { "_key" : "asc" }
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a.order = "_key"
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) OrderByKeyAsc() *HistogramAggregation {
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return a.OrderByKey(true)
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}
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func (a *HistogramAggregation) OrderByKeyDesc() *HistogramAggregation {
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return a.OrderByKey(false)
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}
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// OrderByAggregation creates a bucket ordering strategy which sorts buckets
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// based on a single-valued calc get.
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func (a *HistogramAggregation) OrderByAggregation(aggName string, asc bool) *HistogramAggregation {
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// {
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// "aggs" : {
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// "genders" : {
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// "terms" : {
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// "field" : "gender",
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// "order" : { "avg_height" : "desc" }
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// },
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// "aggs" : {
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// "avg_height" : { "avg" : { "field" : "height" } }
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// }
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// }
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// }
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// }
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a.order = aggName
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a.orderAsc = asc
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return a
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}
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// OrderByAggregationAndMetric creates a bucket ordering strategy which
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// sorts buckets based on a multi-valued calc get.
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func (a *HistogramAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) *HistogramAggregation {
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// {
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// "aggs" : {
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// "genders" : {
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// "terms" : {
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// "field" : "gender",
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// "order" : { "height_stats.avg" : "desc" }
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// },
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// "aggs" : {
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// "height_stats" : { "stats" : { "field" : "height" } }
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// }
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// }
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// }
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// }
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a.order = aggName + "." + metric
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a.orderAsc = asc
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return a
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}
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func (a *HistogramAggregation) MinDocCount(minDocCount int64) *HistogramAggregation {
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a.minDocCount = &minDocCount
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return a
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}
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func (a *HistogramAggregation) ExtendedBounds(min, max int64) *HistogramAggregation {
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a.extendedBoundsMin = &min
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a.extendedBoundsMax = &max
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return a
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}
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func (a *HistogramAggregation) ExtendedBoundsMin(min int64) *HistogramAggregation {
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a.extendedBoundsMin = &min
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return a
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}
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func (a *HistogramAggregation) ExtendedBoundsMax(max int64) *HistogramAggregation {
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a.extendedBoundsMax = &max
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return a
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}
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func (a *HistogramAggregation) Offset(offset int64) *HistogramAggregation {
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a.offset = &offset
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return a
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}
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func (a *HistogramAggregation) Source() (interface{}, error) {
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// Example:
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// {
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// "aggs" : {
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// "prices" : {
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// "histogram" : {
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// "field" : "price",
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// "interval" : 50
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// }
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// }
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// }
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// }
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//
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// This method returns only the { "histogram" : { ... } } part.
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source := make(map[string]interface{})
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opts := make(map[string]interface{})
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source["histogram"] = opts
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// ValuesSourceAggregationBuilder
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if a.field != "" {
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opts["field"] = a.field
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}
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if a.script != nil {
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src, err := a.script.Source()
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if err != nil {
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return nil, err
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}
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opts["script"] = src
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}
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if a.missing != nil {
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opts["missing"] = a.missing
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}
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opts["interval"] = a.interval
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if a.order != "" {
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o := make(map[string]interface{})
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if a.orderAsc {
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o[a.order] = "asc"
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} else {
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o[a.order] = "desc"
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}
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opts["order"] = o
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}
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if a.offset != nil {
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opts["offset"] = *a.offset
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}
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if a.minDocCount != nil {
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opts["min_doc_count"] = *a.minDocCount
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}
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if a.extendedBoundsMin != nil || a.extendedBoundsMax != nil {
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bounds := make(map[string]interface{})
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if a.extendedBoundsMin != nil {
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bounds["min"] = a.extendedBoundsMin
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}
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if a.extendedBoundsMax != nil {
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bounds["max"] = a.extendedBoundsMax
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}
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opts["extended_bounds"] = bounds
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}
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// AggregationBuilder (SubAggregations)
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if len(a.subAggregations) > 0 {
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aggsMap := make(map[string]interface{})
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source["aggregations"] = aggsMap
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for name, aggregate := range a.subAggregations {
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src, err := aggregate.Source()
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if err != nil {
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return nil, err
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}
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aggsMap[name] = src
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}
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}
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// Add Meta data if available
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if len(a.meta) > 0 {
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source["meta"] = a.meta
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}
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return source, nil
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}
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