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.
285 lines
8 KiB
Go
285 lines
8 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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// DateHistogramAggregation is a multi-bucket aggregation similar to the
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// histogram except it can only be applied on date values.
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// See: https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-datehistogram-aggregation.html
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type DateHistogramAggregation 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 string
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order string
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orderAsc bool
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minDocCount *int64
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extendedBoundsMin interface{}
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extendedBoundsMax interface{}
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timeZone string
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format string
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offset string
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}
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// NewDateHistogramAggregation creates a new DateHistogramAggregation.
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func NewDateHistogramAggregation() *DateHistogramAggregation {
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return &DateHistogramAggregation{
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subAggregations: make(map[string]Aggregation),
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}
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}
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// Field on which the aggregation is processed.
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func (a *DateHistogramAggregation) Field(field string) *DateHistogramAggregation {
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a.field = field
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return a
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}
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func (a *DateHistogramAggregation) Script(script *Script) *DateHistogramAggregation {
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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 *DateHistogramAggregation) Missing(missing interface{}) *DateHistogramAggregation {
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a.missing = missing
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return a
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}
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func (a *DateHistogramAggregation) SubAggregation(name string, subAggregation Aggregation) *DateHistogramAggregation {
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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 *DateHistogramAggregation) Meta(metaData map[string]interface{}) *DateHistogramAggregation {
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a.meta = metaData
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return a
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}
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// Interval by which the aggregation gets processed.
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// Allowed values are: "year", "quarter", "month", "week", "day",
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// "hour", "minute". It also supports time settings like "1.5h"
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// (up to "w" for weeks).
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func (a *DateHistogramAggregation) Interval(interval string) *DateHistogramAggregation {
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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 *DateHistogramAggregation) Order(order string, asc bool) *DateHistogramAggregation {
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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 *DateHistogramAggregation) OrderByCount(asc bool) *DateHistogramAggregation {
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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 *DateHistogramAggregation) OrderByCountAsc() *DateHistogramAggregation {
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return a.OrderByCount(true)
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}
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func (a *DateHistogramAggregation) OrderByCountDesc() *DateHistogramAggregation {
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return a.OrderByCount(false)
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}
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func (a *DateHistogramAggregation) OrderByKey(asc bool) *DateHistogramAggregation {
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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 *DateHistogramAggregation) OrderByKeyAsc() *DateHistogramAggregation {
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return a.OrderByKey(true)
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}
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func (a *DateHistogramAggregation) OrderByKeyDesc() *DateHistogramAggregation {
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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 *DateHistogramAggregation) OrderByAggregation(aggName string, asc bool) *DateHistogramAggregation {
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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 *DateHistogramAggregation) OrderByAggregationAndMetric(aggName, metric string, asc bool) *DateHistogramAggregation {
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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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// MinDocCount sets the minimum document count per bucket.
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// Buckets with less documents than this min value will not be returned.
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func (a *DateHistogramAggregation) MinDocCount(minDocCount int64) *DateHistogramAggregation {
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a.minDocCount = &minDocCount
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return a
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}
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// TimeZone sets the timezone in which to translate dates before computing buckets.
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func (a *DateHistogramAggregation) TimeZone(timeZone string) *DateHistogramAggregation {
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a.timeZone = timeZone
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return a
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}
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// Format sets the format to use for dates.
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func (a *DateHistogramAggregation) Format(format string) *DateHistogramAggregation {
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a.format = format
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return a
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}
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// Offset sets the offset of time intervals in the histogram, e.g. "+6h".
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func (a *DateHistogramAggregation) Offset(offset string) *DateHistogramAggregation {
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a.offset = offset
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return a
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}
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// ExtendedBounds accepts int, int64, string, or time.Time values.
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// In case the lower value in the histogram would be greater than min or the
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// upper value would be less than max, empty buckets will be generated.
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func (a *DateHistogramAggregation) ExtendedBounds(min, max interface{}) *DateHistogramAggregation {
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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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// ExtendedBoundsMin accepts int, int64, string, or time.Time values.
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func (a *DateHistogramAggregation) ExtendedBoundsMin(min interface{}) *DateHistogramAggregation {
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a.extendedBoundsMin = min
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return a
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}
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// ExtendedBoundsMax accepts int, int64, string, or time.Time values.
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func (a *DateHistogramAggregation) ExtendedBoundsMax(max interface{}) *DateHistogramAggregation {
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a.extendedBoundsMax = max
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return a
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}
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func (a *DateHistogramAggregation) Source() (interface{}, error) {
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// Example:
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// {
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// "aggs" : {
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// "articles_over_time" : {
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// "date_histogram" : {
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// "field" : "date",
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// "interval" : "month"
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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 { "date_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["date_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.minDocCount != nil {
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opts["min_doc_count"] = *a.minDocCount
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}
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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.timeZone != "" {
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opts["time_zone"] = a.timeZone
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}
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if a.offset != "" {
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opts["offset"] = a.offset
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}
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if a.format != "" {
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opts["format"] = a.format
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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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