爲什麼彈性檢索查找不區分大小寫

Question

我有這樣的指標：

"analysis" : { "filter" : { "meeteor_ngram" : { "type" : "nGram", "min_gram" : "2", "max_gram" : "15" } }, "analyzer" : { "meeteor" : { "filter" : [ "meeteor_ngram" ], "tokenizer" : "standard" } } },

而這個文件：

{ "_index" : "test_global_search", "_type" : "meeting", "_id" : "1", "_version" : 1, "found" : true, "_source" : { "name" : "LightBulb Innovation", "purpose" : "The others should listen the Innovators and also improve the current process.", "location" : "Projector should be set up.", "meeting_notes" : [ { "meeting_note_text" : "The immovator proposed to change the Bulb to Led." } ], "agenda_items" : [ { "text" : "Discuss The Lightning" } ] } }

而且儘管我沒有做小寫過濾，也不分詞都這些查詢返回文檔：

curl -XGET 'localhost:9200/global_search/meeting/_search?pretty' -H 'Content-Type: application/json' -d' 
{ 
    "query": { 
     "match": { 
      "name": "lightbulb" 
     } 
    } 
} 
' 

curl -XGET 'localhost:9200/global_search/meeting/_search?pretty' -H 'Content-Type: application/json' -d' 
{ 
    "query": { 
     "match": { 
      "name": "Lightbulb" 
     } 
    } 
} 
' 

這裏是映射：

→ curl -XGET 'localhost:9200/global_search/_mapping/meeting?pretty' 
{ 
    "global_search" : { 
    "mappings" : { 
     "meeting" : { 
     "properties" : { 
      "agenda_items" : { 
      "properties" : { 
       "text" : { 
       "type" : "text", 
       "analyzer" : "meeteor" 
       } 
      } 
      }, 
      "location" : { 
      "type" : "text", 
      "analyzer" : "meeteor" 
      }, 
      "meeting_notes" : { 
      "properties" : { 
       "meeting_note_text" : { 
       "type" : "text", 
       "analyzer" : "meeteor" 
       } 
      } 
      }, 
      "name" : { 
      "type" : "text", 
      "analyzer" : "meeteor" 
      }, 
      "purpose" : { 
      "type" : "text", 
      "analyzer" : "meeteor" 
      } 
     } 
     } 
    } 
    } 
} 

Answer 1

請加上"index" : "not_analyzed"您name場

"name" : { 
     "type" : "keyword", 
     "index" : true 
} 

Answer 2

兩個LightBulb和lightBulb是因爲custom analyzer您創建的恢復您的文檔。

檢查分析儀如何標記數據。

GET global_search/_analyze?analyzer=meeteor 
{ 
    "text" : "LightBulb Innovation" 
} 

你會看到下面的輸出：

{ 
"tokens": [ 
    { 
    "token": "Li", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    { 
    "token": "Lig", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    { 
    "token": "Ligh", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    { 
    "token": "Light", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
.... other terms starting from Light 

    { 
    "token": "ig",  ======> tokens below this get matched when you run your query 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    { 
    "token": "igh", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    { 
    "token": "ight", 
    "start_offset": 0, 
    "end_offset": 9, 
    "type": "word", 
    "position": 0 
    }, 
    .... other tokens. 

現在，當你運行match查詢相同custom analyzer行爲和令牌您以上述方式搜索的文本。和像'ig' , 'igh'和更多的令牌匹配。這就是爲什麼match似乎不起作用。

在term查詢的情況下，沒有搜索分析器的行爲。它按原樣搜索該術語。如果您搜索LightBulb，它會在令牌中找到。但不會找到lightBulb。

希望這能夠澄清你的問題。

關於term和match的研究。