例如，我需要在弹性搜索中使用过滤器进行汇总。我有一些资产在弹性搜索中另存为文档
{
"id":1,
"name":"1",
"url":"1png20160612115249190.png",
"description": "this is a good asset",
"alt_sizes": ["hi","yes"],
"tags":[{ "id":"1", "name":"Movies"},
{ "id":"2", "name":"Sports"}],
"packs":[{ "id":"1", "name":"pack1", "partnerId":"1"},
{ "id":"2", "name":"pack2 test", "partnerId":"2"}],
"category":[{ "id":"1", "name":"cat1"},
{ "id":"2", "name":"cat2"}],
"appPartner":[{ "id":"1", "name":"par1"},
{ "id":"2", "name":"par2"}],
"created_time":"2016-07-26 00:00:00",
"updated_time":"2016-07-26 10:45:43"
}
在这里，这些包在ES中被索引为嵌套类型。包中将包含ID，名称和partnerId的数组。现在，我想要的是聚合具有特定partnerId的包装，就像我希望所有具有partnerId = 10的包装一样。
我已经试过这个查询
{
"size":0,
"query": {
"nested": {
"path":"appPartner",
"query": {
"bool": {
"must": [
{"match": {"appPartner.id": "1"}}
]
}
}
}
},
"aggs": {
"packs" : {
"nested" : {
"path" : "packs"
},
"aggs" : {
"id" : {
"terms" : {
"field" : "packs.id"
}
,
"aggs":{
"name":{
"terms" : {
"field" : "packs.name"
}
}
}
}
}
}
}
}
该查询使我可以汇总所有嵌套的包ID。我需要汇总所有嵌套的packid，其中partnerID =
"aggs": {
"packs": {
"nested": {
"path": "packs"
},
"aggs": {
"partner": {
"filter": {
"term": {
"packs.partnerId": "10"
}
},
"aggs": {
"id": {
"terms": {
"field": "packs.id"
},
"aggs": {
"name": {
"terms": {
"field": "packs.name"
}
}
}
}
}
}
}
}
}
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