如果'Grade'='G6'和Type ='Open'在SAME观众标签中匹配，我只想返回此课程，但必须在SAME标签中存在才能返回此课程。当前，如果找到G6且OPEN的受众不同，则返回此课程，这不是我想要的。 这是不正确的，我返回的数据不正确，我需要查询才能在每个受众中应用，并且仅在同一受众中为真时才返回数据
这是我的json：
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 71,
"max_score": 3.3118114,
"hits": [
{
"_index": "courses",
"_type": "course",
"_id": "LBTBWdzyRw-jgiiYssjv8A",
"_score": 3.3118114,
"_source": {
"id": "LBTBWdzyRw-jgiiYssjv8A",
"title": "1503 regression testing",
"shortDescription": "asdf",
"description": "asdf",
"learningOutcomes": "",
"modules": [],
"learningProvider": {
"id": "ig2-zIY_QkSpMC4O0Lm0hw",
"name": null,
"termsAndConditions": [],
"cancellationPolicies": []
},
"audiences": [
{
"id": "VfDpsS_5SXi8iZubzTkUBQ",
"name": "comm",
"areasOfWork": [
"Communications"
],
"departments": [],
"grades": [
"G6"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "OPEN",
"eventId": null
},
{
"id": "eZPPPqTqRdiDAE3xCPlJMQ",
"name": "analysis",
"areasOfWork": [
"Analysis"
],
"departments": [],
"grades": [
"G6"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "REQUIRED",
"eventId": null
}
],
"preparation": "",
"owner": {
"scope": "LOCAL",
"organisationalUnit": "co",
"profession": 63,
"supplier": ""
},
"visibility": "PUBLIC",
"status": "Published",
"topicId": ""
}
}
]
}
}
我的ES代码：
BoolQueryBuilder boolQuery = boolQuery();
boolQuery.should(QueryBuilders.matchQuery("audiences.departments.keyword", department));
boolQuery.should(QueryBuilders.matchQuery("audiences.areasOfWork.keyword", areaOfWork));
boolQuery.should(QueryBuilders.matchQuery("audiences.interests.keyword", interest));
BoolQueryBuilder filterQuery = boolQuery();
filterQuery.must(QueryBuilders.matchQuery("audiences.grades.keyword", "G6"));
filterQuery.must(QueryBuilders.matchQuery("audiences.type", "OPEN"));
这里是索引映射：
{
"media": {
"aliases": {}
},
"courses": {
"aliases": {}
},
"feedback": {
"aliases": {}
},
"learning-providers": {
"aliases": {}
},
"resources": {
"aliases": {}
},
"courses-0.4.0": {
"aliases": {}
},
".security-6": {
"aliases": {
".security": {}
}
},
"payments": {
"aliases": {}
}
}
答案 0 :(得分：1)
由于要使用query to apply in each audience and only return data if it is true in the same audience，因此需要为audiences字段指定嵌套的数据类型，否则ElasticSearch会以Objects的形式存储它，并且它没有嵌套对象的概念，因为Elasticsearch将对象层次结构扁平化为字段名称和值的简单列表。有关更多详细信息，您可以参考此https://www.elastic.co/guide/en/elasticsearch/reference/current/nested.html
以您的示例为例，这是您的文档：
"audiences": [
{
"id": "1",
"field": "comm"
},
{
"id": "2",
"field": "arts"
}
]
Elasticsearch以以下形式变平：
{
"audiences.id":[1,2],
"audiences.field":[comm,arts]
}
现在，如果您在搜索查询中说受众必须具有id：1和field：艺术，那么上面的文档也将被匹配。
因此，为了避免此类对象，应将其定义为nested对象。 ElasticSearch会将每个对象分开存储，而不是将其展平，因此将分别搜索每个对象。
上述文件的映射应为：
{
"mappings": {
"properties": {
"shortDescription": {
"type": "text"
},
"audiences": {
"type": "nested"
},
"description": {
"type": "text"
},
"modules": {
"type": "text"
},
"preparation": {
"type": "text"
},
"owner": {
"properties": {
"scope": {
"type": "text"
},
"organisationalUnit": {
"type": "text"
},
"profession": {
"type": "text"
},
"supplier": {
"type": "text"
}
}
},
"learningProvider": {
"properties": {
"id": {
"type": "text"
},
"name": {
"type": "text"
},
"termsAndConditions": {
"type": "text"
},
"cancellationPolicies": {
"type": "text"
}
}
},
"visibility": {
"type": "text"
},
"status": {
"type": "text"
},
"topicId": {
"type": "text"
}
}
}
}
现在，如果我们将此文档编入索引：
{
"shortDescription": "asdf",
"description": "asdf",
"learningOutcomes": "",
"modules": [],
"learningProvider": {
"id": "ig2-zIY_QkSpMC4O0Lm0hw",
"name": null,
"termsAndConditions": [],
"cancellationPolicies": []
},
"audiences": [
{
"id": "VfDpsS_5SXi8iZubzTkUBQ",
"name": "comm",
"areasOfWork": [
"Communications"
],
"departments": [],
"grades": [
"G6"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "OPEN",
"eventId": null
},
{
"id": "eZPPPqTqRdiDAE3xCPlJMQ",
"name": "analysis",
"areasOfWork": [
"Analysis"
],
"departments": [],
"grades": [
"G7"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "REQUIRED",
"eventId": null
}
],
"preparation": "",
"owner": {
"scope": "LOCAL",
"organisationalUnit": "co",
"profession": 63,
"supplier": ""
},
"visibility": "PUBLIC",
"status": "Published",
"topicId": ""
}
如果您搜索的查询是这样的：
：
{
"query": {
"nested": {
"path": "audiences",
"query": {
"bool": {
"must": [
{
"match": {
"audiences.type.keyword": "OPEN"
}
},
{
"match": {
"audiences.grades.keyword": "G6"
}
}
]
}
}
}
}
}
"hits": [
{
"_index": "product",
"_type": "_doc",
"_id": "1",
"_score": 0.9343092,
"_source": {
"shortDescription": "asdf",
"description": "asdf",
"learningOutcomes": "",
"modules": [],
"learningProvider": {
"id": "ig2-zIY_QkSpMC4O0Lm0hw",
"name": null,
"termsAndConditions": [],
"cancellationPolicies": []
},
"audiences": [
{
"id": "VfDpsS_5SXi8iZubzTkUBQ",
"name": "comm",
"areasOfWork": [
"Communications"
],
"departments": [],
"grades": [
"G6"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "OPEN",
"eventId": null
},
{
"id": "eZPPPqTqRdiDAE3xCPlJMQ",
"name": "analysis",
"areasOfWork": [
"Analysis"
],
"departments": [],
"grades": [
"G7"
],
"interests": [],
"requiredBy": null,
"frequency": null,
"type": "REQUIRED",
"eventId": null
}
],
"preparation": "",
"owner": {
"scope": "LOCAL",
"organisationalUnit": "co",
"profession": 63,
"supplier": ""
},
"visibility": "PUBLIC",
"status": "Published",
"topicId": ""
}
}
]
但是现在，如果您的搜索查询是：
{
"query": {
"nested": {
"path": "audiences",
"query": {
"bool": {
"must": [
{
"match": {
"audiences.type.keyword": "OPEN"
}
},
{
"match": {
"audiences.grades.keyword": "G7"
}
}
]
}
}
}
}
}
"hits": {
"total": {
"value": 0,
"relation": "eq"
},
"max_score": null,
"hits": []
}
因此，简而言之，您需要在映射和其余查询中更改audiences字段的数据类型，以便它可以搜索嵌套的数据类型。
因此，代替此代码片段：
BoolQueryBuilder filterQuery = boolQuery();
filterQuery.must(QueryBuilders.matchQuery("audiences.grades.keyword", "G6"));
filterQuery.must(QueryBuilders.matchQuery("audiences.type", "OPEN"));
您应该使用此嵌套查询：
BoolQueryBuilder filterQuery = new BoolQueryBuilder();
filterQuery.must(QueryBuilders.matchQuery("audiences.grades.keyword", "G6"));
filterQuery.must(QueryBuilders.matchQuery("audiences.type", "OPEN"));
NestedQueryBuilder nested = new NestedQueryBuilder("audiences", filterQuery, ScoreMode.None);