Elasticsearch多個值匹配，沒有分析器

Question

請原諒我對ElasticSearch的瞭解。我有一個Elasticsearch集合，其中包含以下文檔：

{ 
    "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" 
    } 
} 

這3個json文檔在ES服務器中編入索引。我沒有提供任何分析器類型（並且不知道如何提供一個:)） 我使用彈簧數據Elasticsearch並執行以下查詢來搜索區域'Masovian Voivodeship'或'Federal District'的文檔：

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

我期待它返回2次命中。但是，它會返回所有3個文檔（可能是由於第三個文檔中有分區）。我如何修改查詢，以便它可以執行EXACT匹配並僅提供2個文檔？我使用下面的方法：

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

我已經試過QueryBuilders.termsQuery，QueryBuilders.inQuery和QueryBuilders.matchQuery（帶陣列），但沒有運氣。

任何人都可以請幫忙嗎？提前致謝。

Answer 1

你可以在這裏做幾件事。

首先，我建立了一個沒有任何明確映射或分析的索引，這意味着將使用standard analyzer。這很重要，因爲它決定了我們如何根據文本字段進行查詢。

於是我開始：

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" 
    } 
} 

然後我想你的查詢，並沒有得到命中。我不明白你爲什麼在你fields參數有"dimensions.ga:region"，但是當我把它改爲"dimensions.region"我得到了一些結果：

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，這將返回你不希望的結果。要解決這個問題的方法之一是如下：

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" 
       } 
      } 
     } 
     ] 
    } 
} 

另一種方式做到這一點（我喜歡這個更好），這也是同樣的結果是使用match query和boolean should組合：

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

這裏是我使用的代碼：

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