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.
114 lines
3.2 KiB
Go
114 lines
3.2 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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// AvgBucketAggregation is a sibling pipeline aggregation which calculates
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// the (mean) average value of a specified metric in a sibling aggregation.
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// The specified metric must be numeric and the sibling aggregation must
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// be a multi-bucket aggregation.
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//
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// For more details, see
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// https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-pipeline-avg-bucket-aggregation.html
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type AvgBucketAggregation struct {
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format string
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gapPolicy string
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subAggregations map[string]Aggregation
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meta map[string]interface{}
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bucketsPaths []string
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}
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// NewAvgBucketAggregation creates and initializes a new AvgBucketAggregation.
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func NewAvgBucketAggregation() *AvgBucketAggregation {
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return &AvgBucketAggregation{
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subAggregations: make(map[string]Aggregation),
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bucketsPaths: make([]string, 0),
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}
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}
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func (a *AvgBucketAggregation) Format(format string) *AvgBucketAggregation {
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a.format = format
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return a
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}
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// GapPolicy defines what should be done when a gap in the series is discovered.
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// Valid values include "insert_zeros" or "skip". Default is "insert_zeros".
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func (a *AvgBucketAggregation) GapPolicy(gapPolicy string) *AvgBucketAggregation {
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a.gapPolicy = gapPolicy
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return a
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}
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// GapInsertZeros inserts zeros for gaps in the series.
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func (a *AvgBucketAggregation) GapInsertZeros() *AvgBucketAggregation {
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a.gapPolicy = "insert_zeros"
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return a
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}
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// GapSkip skips gaps in the series.
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func (a *AvgBucketAggregation) GapSkip() *AvgBucketAggregation {
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a.gapPolicy = "skip"
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return a
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}
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// SubAggregation adds a sub-aggregation to this aggregation.
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func (a *AvgBucketAggregation) SubAggregation(name string, subAggregation Aggregation) *AvgBucketAggregation {
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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 *AvgBucketAggregation) Meta(metaData map[string]interface{}) *AvgBucketAggregation {
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a.meta = metaData
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return a
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}
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// BucketsPath sets the paths to the buckets to use for this pipeline aggregator.
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func (a *AvgBucketAggregation) BucketsPath(bucketsPaths ...string) *AvgBucketAggregation {
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a.bucketsPaths = append(a.bucketsPaths, bucketsPaths...)
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return a
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}
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func (a *AvgBucketAggregation) Source() (interface{}, error) {
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source := make(map[string]interface{})
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params := make(map[string]interface{})
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source["avg_bucket"] = params
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if a.format != "" {
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params["format"] = a.format
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}
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if a.gapPolicy != "" {
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params["gap_policy"] = a.gapPolicy
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}
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// Add buckets paths
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switch len(a.bucketsPaths) {
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case 0:
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case 1:
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params["buckets_path"] = a.bucketsPaths[0]
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default:
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params["buckets_path"] = a.bucketsPaths
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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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