我尝试使用Elasticsearch构建一个facet系统，以显示与查询匹配的文档数。
我目前正在/_search?search_type=count上执行此查询：
{
"query": {
"query_string": {
"query": "status:(1|2) AND categories:A"
}
},
"aggs": {
"all_products": {
"global": {},
"aggs": {
"countries": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "country"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
},
"categories": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "category"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
},
"statuses": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "status"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
}
}
}
}
}
文件具有以下结构：
{
"id": 123,
"name": "Title",
"categories": ["A", "B", "C"],
"country": "United Kingdom",
"status": 1
}
所以我要找的输出应该是：
国家
分类
状态
我不知道如何正确过滤聚合，因为现在他们正在计算指定字段中的所有文档，而不考虑查询status:(1|2) AND categories:A。
弹性版本是1.7.2。
答案 0 :(得分：0)
您只需删除global聚合，因为它不受查询的影响，只需将您的countries，categories和statuses聚合移到顶层，就像这样：
{
"query": {
"query_string": {
"query": "status:(1|2) AND categories:A"
}
},
"aggs": {
"countries": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "country"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
},
"categories": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "category"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
},
"statuses": {
"aggs": {
"counter": {
"terms": ["min_doc_count": 0, "field": "status"],
"aggs": ["unique": ["cardinality": ["field": "id"]]]
}
}
}
}
}
答案 1 :(得分：0)
法比奥。我看到你上传的帖子，我已经为ES 2.4做过例子，可能对你有帮助。
"index": "{{YOUR ELASTIC INDEX}}",
"type": "{{YOUR ELASTIC TYPE}}",
"body": {
"aggs": {
"trademarks": { // aggs NAME
"terms": {
"field": "id", // field name in ELASTIC base
"size": 100 // count of results YOU need
}
},
"materials": { //another aggs NAME
"terms": {
"field": "materials.name", // field name in ELASTIC base
"size": 100 / count of results YOU need
}
},
"certificate": {
"terms": {
"field": "certificate_type_id",
"size": 100
}
},
"country": {
"terms": {
"field": "country.id",
"size": 100
}
},
"price": {
"stats": {
"field": "price"
}
}
},
"from": 0, // start from
"size": 20, // results count
"query": {
"constant_score": {
"filter": { //apply filter
"bool": {
"should": [{ // all categories You need to show
"term": {
"categories": "10142"
}
}, {
"term": {
"categories": "10143"
}
}, {
"term": {
"categories": "10144"
}
}, {
"term": {
"categories": "10145"
}
}, {
"term": {
"categories": "12957"
}
}, {
"term": {
"categories": "13968"
}
}, {
"term": {
"categories": "14353"
}
}, {
"term": {
"categories": "16954"
}
}, {
"term": {
"categories": "18243"
}
}, {
"term": {
"categories": "10141"
}
}],
"must": [{ // if you want another filed to filter for example filter BY field trademark_id
"bool": {
"should": [{
"term": {
"trademark_id": "2872"
}
}, {
"term": {
"trademark_id": "2879"
}
}, {
"term": {
"trademark_id": "2914"
}
}]
}
}, {
"bool": { // filter by PRICE
"must": [{
"range": {
"price": {
"from": 5.97,
"to": 15752.69
}
}
}]
}
}]
}
}
}
},
"sort": { //here SORT BY desc or asc
"updated_at": "desc" //updated_at - field from ES base
}
}