我有一组数据,结构如下。
[
{
"productId": "ProductId1",
"customerNumbers": [
"customer": {
"name": "Prod1Cust1",
"totalOrders": 23
},
"customer": {
"name": "Prod2Cust1",
"totalOrders": 5
},
"customer": {
"name": "Prod3Cust1",
"totalOrders": 5
}
]
},
{
"productId": "ProductId2",
"customerNumbers": [
"customer": {
"name": "Prod2Cust1",
"totalOrders": 23
},
"customer": {
"name": "Prod2Cust1",
"totalOrders": 5
}
]
}
]
我需要获取所有的记录,其中有一个... 前缀 的 "Prod1如 名称 字段(在本例中,只需要返回第一条记录,即ProductId1)。另外,当数据被返回时,我需要只获取前缀为Prod1的客户号,即
正确的输出:
{
"productId": "ProductId1",
"customerNumbers": [
"customer": {
"name": "Prod1Cust1",
"totalOrders": 23
}
]
}
正确的输出是:
{
"productId": "ProductId1",
"customerNumbers": [
"customer": {
"name": "Prod1Cust1",
"totalOrders": 23
},
"customer": {
"name": "Prod2Cust1",
"totalOrders": 5
},
"customer": {
"name": "Prod3Cust1",
"totalOrders": 5
}
]
}
我可以获取前缀是Prod1的客户号的记录 名称 前缀是 "Prod1",使用嵌套查询加上MatchPhrasePrefixQuery(这将返回我所有客户号码的结果)。我如何进一步过滤数据,以获得客户号码,其 名称 前缀是 "Prod1"。
以下是我当前的查询。
{
"from": 0,
"size": 10,
"sort": [
{
"name.keyword": {
"missing": "_first",
"order": "asc"
}
}
],
"query": {
"bool": {
"must": [
{
"bool": {
"must": [
{
"nested": {
"query": {
"bool": {
"must": [
{
"match": {
"customerNumbers.name": {
"query": "Prod1",
"type": "phrase_prefix"
}
}
}
]
}
},
"path": "customerNumbers"
}
}
]
}
}
]
}
}
}
P.S: 我使用ElasticSearch 5.x和Nest.
尝试使用 inner_hits
:
PUT products
{"mappings":{"_doc":{"properties":{"customerNumbers":{"type":"nested"}}}}}
POST products/_doc
{"productId":"ProductId1","customerNumbers":[{"name":"Prod1Cust1","totalOrders":23},{"name":"Prod2Cust1","totalOrders":5},{"name":"Prod3Cust1","totalOrders":5}]}
POST products/_doc
{"productId":"ProductId2","customerNumbers":[{"name":"Prod2Cust1","totalOrders":23},{"name":"Prod2Cust1","totalOrders":5}]}
GET products/_search
{
"_source": "inner_hits",
"from": 0,
"size": 10,
"query": {
"bool": {
"must": [
{
"bool": {
"must": [
{
"nested": {
"path": "customerNumbers",
"query": {
"bool": {
"must": [
{
"match_phrase_prefix": {
"customerNumbers.name": {
"query": "Prod1"
}
}
}
]
}
},
"inner_hits": {}
}
}
]
}
}
]
}
}
}
产生以下点击率
[
{
"_index":"products",
"_type":"_doc",
"_id":"tyQGo3EBdiyDG0RsTa0N",
"_score":0.9808292,
"_source":{
},
"inner_hits":{
"customerNumbers":{
"hits":{
"total":1,
"max_score":0.9808292,
"hits":[
{
"_index":"products",
"_type":"_doc",
"_id":"tyQGo3EBdiyDG0RsTa0N",
"_nested":{
"field":"customerNumbers",
"offset":0
},
"_score":0.9808292,
"_source":{
"name":"Prod1Cust1", <-----
"totalOrders":23
}
}
]
}
}
}
}
]