我有product_supplier索引，其中包含产品及其供应商。我已经给了供应商名称，并且我想得到由给定供应商提供的产品。 例如。我给了供应商“ supplier1”和“ supplier2”。我想获得该供应商提供的“芯片”和“芒果”产品。之后，我要汇总产品名称。这是我的总点击量。
"hits":[
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "1",
"_score": 1.0,
"_source": {
"product_name": "maggie",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "2",
"_score": 1.0,
"_source": {
"product_name": "maggie",
"product_supplier": "supplier2"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "3",
"_score": 1.0,
"_source": {
"product_name": "potatoes",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "4",
"_score": 1.0,
"_source": {
"product_name": "chips",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "5",
"_score": 1.0,
"_source": {
"product_name": "maggie",
"product_supplier": "supplier3"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "6",
"_score": 1.0,
"_source": {
"product_name": "mango",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "7",
"_score": 1.0,
"_source": {
"product_name": "chips",
"product_supplier": "supplier2"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "8",
"_score": 1.0,
"_source": {
"product_name": "chips",
"product_supplier": "supplier3"
}
}
]
我有这样的查询
GET /products_supplier/_search
{
"query": {
"bool": {
"should": [
{"term": {
"product_supplier": {
"value": "supplier2"
}
}},
{"term": {
"product_supplier": {
"value": "supplier1"
}
}}
]
}
}, "aggs": {
"product_name": {
"terms": {
"field": "product_name.keyword"
}
}
}
}
我知道了
"hits" : {
"total" : {
"value" : 6,
"relation" : "eq"
},
"max_score" : 1.3862944,
"hits" : [
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "2",
"_score" : 1.3862944,
"_source" : {
"product_name" : "maggie",
"product_supplier" : "supplier2"
}
},
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "7",
"_score" : 1.3862944,
"_source" : {
"product_name" : "chips",
"product_supplier" : "supplier2"
}
},
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "1",
"_score" : 0.7985077,
"_source" : {
"product_name" : "maggie",
"product_supplier" : "supplier1"
}
},
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "3",
"_score" : 0.7985077,
"_source" : {
"product_name" : "potatoes",
"product_supplier" : "supplier1"
}
},
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "4",
"_score" : 0.7985077,
"_source" : {
"product_name" : "chips",
"product_supplier" : "supplier1"
}
},
{
"_index" : "products_supplier",
"_type" : "_doc",
"_id" : "6",
"_score" : 0.7985077,
"_source" : {
"product_name" : "mango",
"product_supplier" : "supplier1"
}
}
]
},
"aggregations" : {
"product_name" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [
{
"key" : "chips",
"doc_count" : 2
},
{
"key" : "maggie",
"doc_count" : 2
},
{
"key" : "mango",
"doc_count" : 1
},
{
"key" : "potatoes",
"doc_count" : 1
}
]
}
}
}
我只喜欢获得“芒果”和“薯条”产品名称
答案 0 :(得分：0)
您只需一一分解需求。下面是AND / OR形式的查询的基本表示形式：
（供应商1或供应商2）AND（芒果OR芯片）
下面的查询只是上面的ES查询表示。只需将OR替换为should子句，而将AND替换为must子句，您应该能够获得所需的结果：
POST products_supplier/_search
{
"query":{
"bool":{
"must": [
{
"bool": {
"should": [
{
"term": {
"product_name.keyword": {
"value": "mango"
}
}
},
{
"term": {
"product_name.keyword": {
"value": "chips"
}
}
}
],
"minimum_should_match": 1
}
},
{
"bool": {
"should": [
{
"term": {
"product_supplier.keyword": {
"value": "supplier1"
}
}
},
{
"term": {
"product_supplier.keyword": {
"value": "supplier2"
}
}
}
],
"minimum_should_match": 1
}
}
]
}
},
"aggs":{
"product_name":{
"terms":{
"field":"product_name.keyword"
}
}
}
}
请注意，在上述查询中，您正在寻找完全匹配的内容，在这种情况下，我建议您使用该字段的keyword兄弟姐妹。
我还提到了minimum_should_match: 1，这意味着相应的文档仅在封闭的should子句中的任何一个值匹配时才返回。
{
"took": 2,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 1.4508328,
"hits": [
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "4",
"_score": 1.4508328,
"_source": {
"product_name": "chips",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "6",
"_score": 1.4508328,
"_source": {
"product_name": "mango",
"product_supplier": "supplier1"
}
},
{
"_index": "products_supplier",
"_type": "_doc",
"_id": "7",
"_score": 1.3862944,
"_source": {
"product_name": "chips",
"product_supplier": "supplier2"
}
}
]
},
"aggregations": {
"product_name": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "chips",
"doc_count": 2
},
{
"key": "mango",
"doc_count": 1
}
]
}
}
}
希望这会有所帮助！