ElasticSearch找不到字符串字段中存在的确切值

Question

当我执行一个空查询来列出一些结果时，我看到这些值在那里。例如：

{ 
    "took": 6, 
    "timed_out": false, 
    "_shards": { 
     "total": 5, 
     "successful": 5, 
     "failed": 0 
    }, 
    "hits": { 
     "total": 3024, 
     "max_score": 1.0, 
     "hits": [{ 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5-j6uVuoyTMhX204", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1029.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5-mTuVuoyTMhX205", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1321.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5-xkuVuoyTMhX209", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail2567.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5zr8uVuoyTMhX20F", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail2122.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5z23uVuoyTMhX20L", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1823.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5-53uVuoyTMhX21A", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1616.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5_AXuVuoyTMhX21C", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail3002.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5_j3uVuoyTMhX21U", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail3039.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5_yQuVuoyTMhX21d", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1136.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5zbquVuoyTMhX20C", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail166.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5zfsuVuoyTMhX20E", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail2767.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt59jQuVuoyTMhX20p", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail2852.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5_PpuVuoyTMhX21J", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1392.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt58YguVuoyTMhX20N", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail603.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5_38uVuoyTMhX21h", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail416.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt5-JFuVuoyTMhX20y", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail896.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt6B1NuVuoyTMhX22i", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail846.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt6B3vuVuoyTMhX22k", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1214.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt6B90uVuoyTMhX22o", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail1536.png" 
      } 
     }, { 
      "_index": "geotiff_test", 
      "_type": "geometa", 
      "_id": "AVtt6COkuVuoyTMhX22y", 
      "_score": 1.0, 
      "_source": { 
       "thumbnail": "thumbnail246.png" 
      } 
     }] 
    } 
} 

然而，当我运行这样的查询，将没有返回值：

curl -X POST http://localhost:9200/geotiff_test/geometa/_search -d '{ 
    "query": { 
     "term": { 
      "thumbnail": "thumbnail1536.png" 
     } 
    } 
}' 

这是结果：

{ 
    "took": 1, 
    "timed_out": false, 
    "_shards": { 
     "total": 5, 
     "successful": 5, 
     "failed": 0 
    }, 
    "hits": { 
     "total": 0, 
     "max_score": null, 
     "hits": [] 
    } 
} 

如果这是Solr的，所有我想做是运行这个简单的查询：thumbnail:"thumbnail1536.png"

有人可以告诉我这里怎么了？

Answer 1

精确项不匹配，因为您的文档场thumbnail得到了与standard分析仪分析和存储作为thumbnail1536和png。

在Elasticsearch有不同的查询，以text（全文）和keyword（确切长期）。你写的那个属于后一类。

如果遇到以下full-text查询，你会得到期望的结果：

curl -X POST http://localhost:9200/geotiff_test/geometa/_search -d '{ 
    "query": { 
     "match": { 
      "thumbnail": "thumbnail1536.png" 
     } 
    } 
}' 

但是当你试图查找使用term查询首选exact-term。

curl -X POST http://localhost:9200/geotiff_test/geometa/_search -d '{ 
    "query": { 
     "term": { 
      "thumbnail.keyword": "thumbnail1536.png" 
     } 
    } 
}' 

注：这里.keyword是keyword版本thumbnail领域。

虽然两者都产生相同的结果，但上述查询比以前的查询效率更高。

Answer 2

这取决于您的字段如何映射/键入。请参阅弹性搜索网站上的link。

请注意，您可以更改映射以更好地满足您的需求。