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api: Implement bucket notification. (#2271)
* Implement basic S3 notifications through queues Supports multiple queues and three basic queue types: 1. NilQueue -- messages don't get sent anywhere 2. LogQueue -- messages get logged 3. AmqpQueue -- messages are sent to an AMQP queue * api: Implement bucket notification. Supports two different queue types - AMQP - ElasticSearch. * Add support for redis
This commit is contained in:
committed by
Anand Babu (AB) Periasamy
parent
f85d94288d
commit
f248089523
+145
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// Copyright 2012-2016 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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// SamplerAggregation is a filtering aggregation used to limit any
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// sub aggregations' processing to a sample of the top-scoring documents.
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// Optionally, diversity settings can be used to limit the number of matches
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// that share a common value such as an "author".
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// See: https://www.elastic.co/guide/en/elasticsearch/reference/2.x/search-aggregations-bucket-sampler-aggregation.html
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type SamplerAggregation 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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shardSize int
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maxDocsPerValue int
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executionHint string
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}
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func NewSamplerAggregation() *SamplerAggregation {
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return &SamplerAggregation{
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shardSize: -1,
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maxDocsPerValue: -1,
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subAggregations: make(map[string]Aggregation),
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}
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}
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func (a *SamplerAggregation) Field(field string) *SamplerAggregation {
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a.field = field
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return a
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}
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func (a *SamplerAggregation) Script(script *Script) *SamplerAggregation {
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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 *SamplerAggregation) Missing(missing interface{}) *SamplerAggregation {
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a.missing = missing
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return a
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}
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func (a *SamplerAggregation) SubAggregation(name string, subAggregation Aggregation) *SamplerAggregation {
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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 *SamplerAggregation) Meta(metaData map[string]interface{}) *SamplerAggregation {
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a.meta = metaData
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return a
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}
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// ShardSize sets the maximum number of docs returned from each shard.
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func (a *SamplerAggregation) ShardSize(shardSize int) *SamplerAggregation {
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a.shardSize = shardSize
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return a
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}
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func (a *SamplerAggregation) MaxDocsPerValue(maxDocsPerValue int) *SamplerAggregation {
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a.maxDocsPerValue = maxDocsPerValue
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return a
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}
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func (a *SamplerAggregation) ExecutionHint(hint string) *SamplerAggregation {
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a.executionHint = hint
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return a
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}
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func (a *SamplerAggregation) Source() (interface{}, error) {
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// Example:
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// {
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// "aggs" : {
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// "sample" : {
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// "sampler" : {
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// "field" : "user.id",
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// "shard_size" : 200
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// },
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// "aggs": {
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// "keywords": {
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// "significant_terms": {
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// "field": "text"
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// }
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// }
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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 { "sampler" : { ... } } part.
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source := make(map[string]interface{})
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opts := make(map[string]interface{})
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source["sampler"] = 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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if a.shardSize >= 0 {
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opts["shard_size"] = a.shardSize
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}
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if a.maxDocsPerValue >= 0 {
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opts["max_docs_per_value"] = a.maxDocsPerValue
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}
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if a.executionHint != "" {
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opts["execution_hint"] = a.executionHint
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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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