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服务器中编入索引。我没有提供任何分析器类型（并且不知道如何提供一个:)） 我使用弹簧数据Elasticsearch并执行以下查询来搜索区域'Masovian Voivodeship'或'Federal District'的文档：

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

我期待它返回2次命中。但是，它会返回所有3个文档（可能是由于第三个文档中有分区）。我如何修改查询，以便它可以执行EXACT匹配并仅提供2个文档？我使用下面的方法：

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

我已经试过QueryBuilders.termsQuery，QueryBuilders.inQuery和QueryBuilders.matchQuery（带阵列），但没有运气。

任何人都可以请帮忙吗？提前致谢。

Answer 1

你可以在这里做几件事。

首先，我建立了一个没有任何明确映射或分析的索引，这意味着将使用standard analyzer。这很重要，因为它决定了我们如何根据文本字段进行查询。

于是我开始：

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" 
    } 
} 

然后我想你的查询，并没有得到命中。我不明白你为什么在你fields参数有"dimensions.ga:region"，但是当我把它改为"dimensions.region"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" 
       } 
      } 
     } 
     ] 
    } 
} 

然而，这将返回你不希望的结果。要解决这个问题的方法之一是如下：

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" 
       } 
      } 
     } 
     ] 
    } 
} 

另一种方式做到这一点（我喜欢这个更好），这也是同样的结果是使用match query和boolean should组合：

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

这里是我使用的代码：

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