我下面的文件具有弹性，只需要从聊天数组中获取sessionId：3dddf4ab的对话，但是我正在获取整个文档
Elastic文档：
{
"_index" : "myindex",
"_type" : "_doc",
"_id" : "1",
"_version" : 1,
"_seq_no" : 0,
"_primary_term" : 1,
"found" : true,
"_source" : {
"chatid" : "1",
"chat" : [
{
"conversation" : {
"conversationId" : "3dddf4ab",
"startTime" : 1573555131306,
"question" : "abc",
"language" : "English",
"type" : "123",
"answer" : "weeqwew",
"feedback" : {
"rating" : 1,
"endTime" : 0,
"votes" : 1,
"likes" : 1
}
}
},
{
"conversation" : {
"conversationId" : "29363306",
"startTime" : 1567756384492,
"question" : "wer",
"language" : "English",
"type" : "456",
"answer" : "zxsz",
"feedback" : {
"rating" : 0,
"endTime" : 0,
"votes" : 0,
"likes" : 0
}
}
},
{
"conversation" : {
"conversationId" : "3dddf4ab",
"startTime" : 1573555131308,
"question" : "qwer",
"language" : "English",
"type" : "789",
"answer" : "hjhlh",
"feedback" : {
"rating" : 0,
"endTime" : 0,
"votes" : 0,
"likes" : 0
}
}
},
{
"conversation" : {
"conversationId" : "29363306",
"startTime" : 1567756384499,
"question" : "klklkl",
"language" : "English",
"type" : "674",
"answer" : "kjjj;",
"feedback" : {
"rating" : 2,
"endTime" : 0,
"votes" : 4,
"likes" : 4
}
}
}
]
}
}
在Kibana中搜索查询DSL：
{
"query": {
"match": {
"chat.conversation.conversationId": {
"query": "3dddf4ab",
"type": "phrase"
}
}
}
}
预期如下，但获取了整个文档：
这是我期望的输出，相反，我正在获取包括其他对话ID的整个文档
{
"_index": "myindex",
"_type": "_doc",
"_id": "1",
"_version": 1,
"_seq_no": 0,
"_primary_term": 1,
"found": true,
"_source": {
"chatid": "1",
"chat": [{
"conversation": {
"conversationId": "3dddf4ab",
"startTime": 1573555131306,
"question": "abc",
"language": "English",
"type": "123",
"answer": "weeqwew",
"feedback": {
"rating": 1,
"endTime": 0,
"votes": 1,
"likes": 1
}
}
},
{
"conversation": {
"conversationId": "3dddf4ab",
"startTime": 1573555131308,
"question": "qwer",
"language": "English",
"type": "789",
"answer": "hjhlh",
"feedback": {
"rating": 0,
"endTime": 0,
"votes": 0,
"likes": 0
}
}
}
]
}
}
{
"mappings": {
"chatdb": {
"properties": {
"chatid": {
"type": "text"
},
"conversations": {
"type": "nested",
"properties": {
"conversation": {
"type": "object",
"properties": {
"conversationId": {
"type": "text"
},
"startTime": {
"type": "long"
},
"question": {
"type": "text"
},
"language": {
"type": "text"
},
"type": {
"type": "text"
},
"answer": {
"type": "text"
},
"feedback": {
"type": "object",
"properties": {
"rating": {
"type": "float"
},
"endTime": {
"type": "long"
},
"votes": {
"type": "integer"
},
"likes": {
"type": "integer"
}
}
}
}
}
}
}
}
}
}
}
非常感谢您的帮助
相信，您需要从嵌套查询中检索内部匹配，如下所示：
POST testindex/_search
{
"_source" : false,
"query": {
"nested": {
"path": "conversations",
"query": {
"term": {
"conversations.conversation.conversationId": {
"value": "3dddf4ab"
}
}
}
, "inner_hits": {
}
}
}
}
Response：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.6931472,
"hits": [
{
"_index": "testindex",
"_type": "chatdb",
"_id": "L9qM_m4BavUEUOqEAqm-",
"_score": 0.6931472,
"inner_hits": {
"conversations": {
"hits": {
"total": 2,
"max_score": 0.6931472,
"hits": [
{
"_index": "testindex",
"_type": "chatdb",
"_id": "L9qM_m4BavUEUOqEAqm-",
"_nested": {
"field": "conversations",
"offset": 2
},
"_score": 0.6931472,
"_source": {
"conversation": {
"conversationId": "3dddf4ab",
"startTime": 1573555131308,
"question": "qwer",
"language": "English",
"type": "789",
"answer": "hjhlh",
"feedback": {
"rating": 0,
"endTime": 0,
"votes": 0,
"likes": 0
}
}
}
},
{
"_index": "testindex",
"_type": "chatdb",
"_id": "L9qM_m4BavUEUOqEAqm-",
"_nested": {
"field": "conversations",
"offset": 0
},
"_score": 0.6931472,
"_source": {
"conversation": {
"conversationId": "3dddf4ab",
"startTime": 1573555131306,
"question": "abc",
"language": "English",
"type": "123",
"answer": "weeqwew",
"feedback": {
"rating": 1,
"endTime": 0,
"votes": 1,
"likes": 1
}
}
}
}
]
}
}
}
}
]
}
}