嵌套类型是您要寻找的，而不必太担心性能。
在为文档建立索引之前，您需要为文档设置映射：
curl -XDELETE localhost:9200/indexcurl -XPUT localhost:9200/indexcurl -XPUT localhost:9200/index/type/_mapping -d '{ "type": { "properties": { "field_x": { "type": "nested", "include_in_parent": false, "include_in_root": false, "properties": { "user": { "type": "string" }, "field_x": { "type": "string", "index" : "not_analyzed" // NOTE* } } } } }}'- 注意：如果您的字段仅包含“ A”和“ B”之类的单数字母，则您不想分析该字段，否则elasticsearch会删除这些单数字母“ words”。 如果这只是您的示例，并且您在实际的文档中正在搜索适当的单词，请删除此行，并让elasticsearch分析该字段。
然后，索引您的文档：
curl -XPUT http://localhost:9200/index/type/1 -d '{ "field_a": "foo", "field_b": "bar", "field_x" : [{ "user" : "1", "field_x" : "A" }, { "user" : "2", "field_x" : "B" }]}'并运行查询：
curl -XGET localhost:9200/index/type/_search -d '{ "query": { "nested" : { "path" : "field_x", "score_mode" : "avg", "query" : { "bool" : { "must" : [ { "term": { "field_x.user": "1" } }, { "term": { "field_x.field_x": "A" } } ] } } } }}';这将导致
{"took":13,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":1,"max_score":1.987628,"hits":[{"_index":"index","_type":"type","_id":"1","_score":1.987628, "_source" : { "field_a": "foo", "field_b": "bar", "field_x" : [{ "user" : "1", "field_x" : "A" }, { "user" : "2", "field_x" : "B" }]}}]}}但是，查询
curl -XGET localhost:9200/index/type/_search -d '{ "query": { "nested" : { "path" : "field_x", "score_mode" : "avg", "query" : { "bool" : { "must" : [ { "term": { "field_x.user": "1" } }, { "term": { "field_x.field_x": "B" } } ] } } } }}';不会返回任何结果
{"took":6,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}
