[英]ElasticSearch Aggregation Filter (not nested) Array
我有這樣的映射:
PUT myindex1/_mapping
{
"properties": {
"program":{
"properties":{
"rounds" : {
"properties" : {
"id" : {
"type" : "keyword"
},
"name" : {
"type" : "text",
"fields" : {
"keyword" : {
"type" : "keyword",
"ignore_above" : 256
}
}
}
}
}
}
}
}
}
我的示例文檔:
POST myindex1/_doc
{
"program": {
"rounds":[
{"id":"00000000-0000-0000-0000-000000000000", "name":"Test1"},
{"id":"00000000-0000-0000-0000-000000000001", "name":"Fact2"}
]
}
}
POST myindex1/_doc
{
"program": {
"rounds":[
{"id":"00000000-0000-0000-0000-000000000002", "name":"Test3"},
{"id":"00000000-0000-0000-0000-000000000003", "name":"Fact4"}
]
}
}
POST myindex1/_doc
{
"program": {
"rounds":[
{"id":"00000000-0000-0000-0000-000000000004", "name":"Test5"},
{"id":"00000000-0000-0000-0000-000000000005", "name":"Fact6"}
]
}
}
目的:僅獲取用戶過濾為通配符的回合名稱。 聚合查詢:
GET myindex1/_search
{
"aggs": {
"result": {
"aggs": {
"names": {
"terms": {
"field": "program.rounds.name.keyword",
"size": 10000,
"order": {
"_key": "asc"
}
}
}
},
"filter": {
"bool": {
"must":[
{
"wildcard": {
"program.rounds.name": "*test*"
}
}
]
}
}
}
},
"size": 0
}
此聚合返回所有 6 個名稱,但我只需要Test1,Test3,Test5 。 還嘗試了include": "/tes.*/i"
正則terms
模式,但忽略大小寫不起作用。注意:我注意到肯定有嵌套類型,因為我對Id和Name之間的關聯不感興趣(在至少現在)。ElasticSearch 版本:7.7.0
如果您只想根據 name 字段上的條件聚合特定輪次,則需要進行rounds
nested
,否則所有名稱值最終都在同一個字段中。
您的映射需要更改為:
PUT myindex1/
{
"mappings": {
"properties": {
"program": {
"properties": {
"rounds": {
"type": "nested", <--- add this
"properties": {
"id": {
"type": "keyword"
},
"name": {
"type": "text",
"fields": {
"keyword": {
"type": "keyword",
"ignore_above": 256
}
}
}
}
}
}
}
}
}
}
然后您的查詢需要更改為:
GET myindex1/_search
{
"size": 0,
"query": {
"nested": {
"path": "program.rounds",
"query": {
"bool": {
"must": [
{
"wildcard": {
"program.rounds.name": "*Test*"
}
}
]
}
}
}
},
"aggs": {
"rounds": {
"nested": {
"path": "program.rounds"
},
"aggs": {
"name_filter": {
"filter": {
"wildcard": {
"program.rounds.name": "*Test*"
}
},
"aggs": {
"names": {
"terms": {
"field": "program.rounds.name.keyword",
"size": 10000,
"order": {
"_key": "asc"
}
}
}
}
}
}
}
}
}
結果將是:
"aggregations" : {
"rounds" : {
"doc_count" : 6,
"name_filter" : {
"doc_count" : 3,
"names" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "Test1",
"doc_count" : 1
},
{
"key" : "Test3",
"doc_count" : 1
},
{
"key" : "Test5",
"doc_count" : 1
}
]
}
}
}
}
更新:
實際上,您可以通過以下查詢在不引入嵌套類型的情況下實現您想要的。 你很接近,但include
模式是錯誤的
GET myindex1/_search
{
"aggs": {
"result": {
"aggs": {
"names": {
"terms": {
"field": "program.rounds.name.keyword",
"size": 10000,
"include": "[Tt]est.*",
"order": {
"_key": "asc"
}
}
}
},
"filter": {
"bool": {
"must": [
{
"wildcard": {
"program.rounds.name": "*Test*"
}
}
]
}
}
}
},
"size": 0
}
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