Elasticsearch 多个值匹配没有分析器

Question

请原谅我对 ElasticSearch 的了解。我有一个 Elasticsearch 集合，其中包含以下文档：

{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 2,
    "dimensions": {
        "region": "Coimbra District"

    }
}
{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 1,
    "dimensions": {
        "region": "Federal District"        
    }
}
{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 1,
    "dimensions": {
        "region": "Masovian Voivodeship"
    }
}

这 3 个 json 文档在 ES 服务器中被索引。我没有提供任何分析器类型（也不知道如何提供一个:)） 我正在使用 spring data Elasticsearch 并执行以下查询来搜索区域为“Masovian Voivodeship”或“Federal District”的文档：

{
  "query_string" : {
    "query" : "Masovian Voivodeship OR Federal District",
    "fields" : [ "dimensions.region" ]
  }
}

我预计它会返回 2 次点击。但是，它会返回所有 3 个文档（可能是由于其中有第 3 个文档）。如何修改查询以便它可以执行精确匹配并且只提供 2 个文档？我正在使用以下方法：

QueryBuilders.queryString(<OR string>).field("dimensions.region")

我尝试过QueryBuilders.termsQuery、QueryBuilders.inQuery 和QueryBuilders.matchQuery（使用数组），但没有成功。

有人可以帮忙吗？提前致谢。

Answer 1

您可以在这里做几件事。

首先，我设置了一个没有任何显式映射或分析的索引，这意味着将使用standard analyzer。这很重要，因为它决定了我们如何查询文本字段。

所以我开始了：

DELETE /test_index

PUT /test_index
{
   "settings": {
      "number_of_shards": 1,
      "number_of_replicas": 0
   }
}

PUT /test_index/doc/1
{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 2,
    "dimensions": {
        "region": "Coimbra District"

    }
}

PUT /test_index/doc/2
{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 1,
    "dimensions": {
        "region": "Federal District"        
    }
}

PUT /test_index/doc/3
{
    "date": "2013-12-30T00:00:00.000Z",
    "value": 1,
    "dimensions": {
        "region": "Masovian Voivodeship"
    }
}

然后我尝试了您的查询，但没有得到任何结果。我不明白为什么您的fields 参数中有"dimensions.ga:region"，但是当我将其更改为"dimensions.region" 时，我得到了一些结果：

POST /test_index/doc/_search
{
   "query": {
      "query_string": {
         "query": "Masovian Voivodeship OR Federal District",
         "fields": [
            "dimensions.region"
         ]
      }
   }
}
...
{
   "took": 2,
   "timed_out": false,
   "_shards": {
      "total": 1,
      "successful": 1,
      "failed": 0
   },
   "hits": {
      "total": 3,
      "max_score": 0.46911472,
      "hits": [
         {
            "_index": "test_index",
            "_type": "doc",
            "_id": "3",
            "_score": 0.46911472,
            "_source": {
               "date": "2013-12-30T00:00:00.000Z",
               "value": 1,
               "dimensions": {
                  "region": "Masovian Voivodeship"
               }
            }
         },
         {
            "_index": "test_index",
            "_type": "doc",
            "_id": "2",
            "_score": 0.3533006,
            "_source": {
               "date": "2013-12-30T00:00:00.000Z",
               "value": 1,
               "dimensions": {
                  "region": "Federal District"
               }
            }
         },
         {
            "_index": "test_index",
            "_type": "doc",
            "_id": "1",
            "_score": 0.05937162,
            "_source": {
               "date": "2013-12-30T00:00:00.000Z",
               "value": 2,
               "dimensions": {
                  "region": "Coimbra District"
               }
            }
         }
      ]
   }
}

但是，这会返回您不想要的结果。一种解决方法如下：

POST /test_index/doc/_search
{
   "query": {
      "query_string": {
         "query": "(Masovian AND Voivodeship) OR (Federal AND District)",
         "fields": [
            "dimensions.region"
         ]
      }
   }
}
...
{
   "took": 3,
   "timed_out": false,
   "_shards": {
      "total": 1,
      "successful": 1,
      "failed": 0
   },
   "hits": {
      "total": 2,
      "max_score": 0.46911472,
      "hits": [
         {
            "_index": "test_index",
            "_type": "doc",
            "_id": "3",
            "_score": 0.46911472,
            "_source": {
               "date": "2013-12-30T00:00:00.000Z",
               "value": 1,
               "dimensions": {
                  "region": "Masovian Voivodeship"
               }
            }
         },
         {
            "_index": "test_index",
            "_type": "doc",
            "_id": "2",
            "_score": 0.3533006,
            "_source": {
               "date": "2013-12-30T00:00:00.000Z",
               "value": 1,
               "dimensions": {
                  "region": "Federal District"
               }
            }
         }
      ]
   }
}

另一种方法是使用match query 和boolean should 的组合来获得相同的结果（我更喜欢这个）：

POST /test_index/doc/_search
{
   "query": {
      "bool": {
         "should": [
            {
               "match": {
                  "dimensions.region": {
                     "query": "Masovian Voivodeship",
                     "operator": "and"
                  }
               }
            },
            {
               "match": {
                  "dimensions.region": {
                     "query": "Federal District",
                     "operator": "and"
                  }
               }
            }
         ]
      }
   }
}

这是我使用的代码：

http://sense.qbox.io/gist/bb5062a635c4f9519a411fdd3c8540eae8bdfd51