elasticSearch nested查询，简单意义上，你可以理解为，它不会被索引，只是被暂时隐藏起来，而查询的时候，开关就是使用nested query/filter去查询
下面我有一个例子，是查询文档中，含有某字段的nested查询，与不含有某字段的nested查询办法。
1.查询文档中存在某字段(account.userId)的nested
ES查询语句
核心
{
"query": {
"nested": {
"path": "account",
"query": {
"match_all": {}
},
"filter": {
"exists": {
"field": "account.userId"
}
}
}
}
}
AI 代码解读
java查询语句
//构建Nested查询
NestedFilterBuilder nfb = FilterBuilders.nestedFilter("account", QueryBuilders.filteredQuery(
QueryBuilders.matchAllQuery(), FilterBuilders.existsFilter("account.userId")));
AI 代码解读
nfb嵌入到原有的查询query中即可
完整查询
{
"query" : {
"filtered" : {
"query" : {
"match_all" : { }
},
"filter" : {
"and" : {
"filters" : [ {
"range" : {
"oppType" : {
"from" : 20,
"to" : null,
"include_lower" : true,
"include_upper" : true
}
}
}, {
"term" : {
"city" : 1
}
}, {
"range" : {
"status" : {
"from" : 0,
"to" : 12,
"include_lower" : true,
"include_upper" : false
}
}
}, {
"nested" : {
"query" : {
"filtered" : {
"query" : {
"match_all" : { }
},
"filter" : {
"exists" : {
"field" : "ajkAccount.ajkUserId"
}
}
}
},
"path" : "ajkAccount"
}
}, {
"or" : {
"filters" : [ {
"term" : {
"saleId" : "xxx"
}
}, {
"terms" : {
"deptId" : [ "dept001" ]
}
} ]
}
} ]
}
}
}
}
}
curl -XPOST 'http://192.168.1.xx:9200/xxxIndex/xxxEntry/_search' '{"query":{"filtered":{"query":{"match_all":{}},"filter":{"and":{"filters":[{"range":{"oppType":{"from":null,"to":20,"include_lower":true,"include_upper":false}}},{"term":{"city":1}},{"range":{"status":{"from":0,"to":11,"include_lower":true,"include_upper":true}}},{"query":{"nested":{"path":"account","query":{"match_all":{}},"filter":{"exists":{"field":"account.userId"}}}}}]}}}}}'
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2.查询文档中不存在某字段(missing account.userId)的nested
ES查询语句
核心
{
"not":{
"nested" : {
"query" : {
"filtered" : {
"query" : {
"match_all" : { }
},
"filter" : {
"exists" : {
"field" : "account.userId"
}
}
}
},
"path" : "account"
}
}
}
AI 代码解读
java代码
//构建Nested查询
NestedFilterBuilder nfb = FilterBuilders.nestedFilter("account", QueryBuilders.filteredQuery(
QueryBuilders.matchAllQuery(), FilterBuilders.existsFilter("account.userId")));
//添加Not
FilterBuilders.notFilter(nfb);
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完整ES查询
{
"query" : {
"filtered" : {
"query" : {
"match_all" : { }
},
"filter" : {
"and" : {
"filters" : [ {
"range" : {
"oppType" : {
"from" : 20,
"to" : null,
"include_lower" : true,
"include_upper" : true
}
}
}, {
"term" : {
"city" : 1
}
}, {
"range" : {
"status" : {
"from" : 0,
"to" : 12,
"include_lower" : true,
"include_upper" : false
}
}
}, {
"not" : {
"filter" : {
"nested" : {
"query" : {
"filtered" : {
"query" : {
"match_all" : { }
},
"filter" : {
"exists" : {
"field" : "account.userId"
}
}
}
},
"path" : "account"
}
}
}
}, {
"or" : {
"filters" : [ {
"term" : {
"saleId" : "xxxxx"
}
}, {
"terms" : {
"deptId" : [ "dept01" ]
}
} ]
}
} ]
}
}
}
}
}
curl -XPOST 'http://192.168.1.xx:9200/xxxIndex/xxxEntry/_search' '{"query":{"filtered":{"query":{"match_all":{}},"filter":{"and":{"filters":[{"range":{"oppType":{"from":20,"to":null,"include_lower":true,"include_upper":true}}},{"term":{"city":1}},{"range":{"status":{"from":0,"to":12,"include_lower":true,"include_upper":false}}},{"not":{"filter":{"nested":{"query":{"filtered":{"query":{"match_all":{}},"filter":{"exists":{"field":"account.userId"}}}},"path":"account"}}}},{"or":{"filters":[{"term":{"saleId":"xxxxx"}},{"terms":{"deptId":["dept01"]}}]}}]}}}}}'
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参考
http://grokbase.com/t/gg/elasticsearch/13a49a2hmq/check-if-field-exists-in-a-nested-object
https://github.com/elastic/elasticsearch/issues/3495 `
