查询elasticsearch多场

我在elasticsearch配置了“asset_test人指数进行如下设置：查询elasticsearch多场

{ 
    "settings" : { 
    "analysis" : { 
     "analyzer" : { 
     "str_filtered_search_analyzer" : { 
      "tokenizer" : "keyword", 
      "filter" : ["lowercase"] 
     }, 
     "str_prefix_analyzer" : { 
      "tokenizer" : "keyword", 
      "filter" : ["lowercase", "prefix"] 
     }, 
     "str_substring_analyzer" : { 
      "tokenizer" : "keyword", 
      "filter" : ["lowercase", "substring"] 
     }, 
     "path_analyzer" : { 
      "type" : "custom", 
      "tokenizer" : "path_hierarchy" 
     } 
     }, 
     "filter" : { 
     "prefix" : { 
      "type" : "edgeNGram", 
      "min_gram" : 2, 
      "max_gram" : 24, 
      "side": "front" 
     }, 
     "substring" : { 
      "type" : "nGram", 
      "min_gram" : 2, 
      "max_gram" : 24 
     } 
     } 
    } 
    }, 
    "mappings" : { 
    "asset" : { 
     "properties" : { 
     "_id": { 
      "type" : "string", 
      "index" : "not_analyzed" 
     }, 
     "_rev": { 
      "type" : "string", 
      "index" : "not_analyzed" 
     }, 
     "type": { 
      "type" : "string", 
      "index" : "not_analyzed" 
     }, 
     "requiredBySystem": { 
      "type" : "boolean" 
     }, 
     "attributes": { 
      "properties" : { 
      "id" : { 
       "type" : "string" 
      }, 
      "type" : { 
       "type" : "string", 
       "index" : "not_analyzed" 
      }, 
      "heading" : { 
       "type" : "string" 
      }, 
      "text" : { 
       "type" : "string" 
      }, 
      "users" : { 
       "type" : "string" 
      }, 
      "categories" : { 
       "type" : "multi_field", 
       "fields" : { 
       "categories" : { 
        "type" : "string", 
        "index" : "not_analyzed" 
       }, 
       "path" : { 
        "type" : "string", 
        "analyzer" : "path_analyzer" 
       } 
       } 
      }, 
      "choices" : { 
       "properties" : { 
       "text" : { 
        "type" : "string" 
       }, 
       "checked" : { 
        "type" : "boolean" 
       } 
       } 
      }, 
      "requiredBySystem": { 
       "type" : "boolean" 
      }, 
      "required": { 
       "type" : "boolean" 
      } 
      } 
     } 
     } 
    } 
    } 
};

我在该指数文件：

{ 
    "_id": "9399fb27448b1e5dfdca0181620418d4", 
    "_rev": "14-173e71c77d32f0360f7afb2206b2a334", 
    "type": "entryForm", 
    "requiredBySystem": true, 
    "formName": "Basic", 
    "attributes": [ 
     { 
      "id": "9399fb27448b1e5dfdca01816203d609", 
      "type": "text", 
      "heading": "Brand", 
      "text": "", 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203dc61", 
      "type": "text", 
      "heading": "Model", 
      "text": "", 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203decd", 
      "type": "text", 
      "heading": "Location", 
      "text": "", 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203e68e", 
      "type": "userSelectMenu", 
      "heading": "Assigned To", 
      "users": [ 
      ], 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203e9c9", 
      "type": "categories", 
      "heading": "Categories", 
      "categories": [ 
       "/Airport/Hangar 1", 
       "/Airport/Hangar 2" 
      ], 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203ebdd", 
      "type": "text", 
      "heading": "Owner ID", 
      "text": "", 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816203f0da", 
      "type": "textarea", 
      "heading": "Description", 
      "text": "", 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816207uy5a", 
      "type": "radio", 
      "heading": "Radio Buttons", 
      "choices": [ 
       { 
        "text": "Button 1", 
        "checked": false 
       }, 
       { 
        "text": "Button 2", 
        "checked": true 
       } 
      ], 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca01816205tgh6", 
      "type": "checkboxes", 
      "heading": "Checkboxes", 
      "choices": [ 
       { 
        "text": "Box 1", 
        "checked": false 
       }, 
       { 
        "text": "Box 2", 
        "checked": true 
       } 
      ], 
      "requiredBySystem": true 
     }, 
     { 
      "id": "9399fb27448b1e5dfdca0181620k81gt", 
      "type": "select", 
      "heading": "Select Menu", 
      "choices": [ 
       { 
        "text": "Option 1", 
        "checked": false 
       }, 
       { 
        "text": "Option 2", 
        "checked": true 
       } 
      ], 
      "requiredBySystem": true 
     } 
    ] 
}

我想用以下查询找到文档，但没有找到：

{ 
    "query": { 
     "field": { 
      "attributes.categories.path": "/Airport" 
     } 
    } 
}

有点卡在如何使这个工作。

*更新：我做了“属性”嵌套类型，现在用下面的查询查询似乎工作：

{ 
    "query" : { 
     "nested" : { 
     "path" : "attributes", 
     "query" : { 
      "term" : { 
      "attributes.categories.path" : "/Airport/Hangar 1" 
      } 
     } 
     } 
    } 
}

我要对这个正确的方式？

来源

2013-03-24 Troy

你嵌套查询看起来不错。您的Field查询（可能）不起作用的原因是因为它使用了query_string，它执行预处理步骤。 “/ Airport”被预处理为“Airport”，并且该标记在索引中不存在，因此它不匹配。查看[Inquisitor]插件（https://github.com/polyfractal/elasticsearch-inquisitor）插件来帮助玩弄查询，这对于调试这些问题非常有用。 – Zach 2013-03-24 14:35:16

@Troy，如果你把你的更新变成答案，那会很好。我会为你做，但你应该得到它的荣誉。 – 2014-03-17 21:40:26

我将我的更新更改为答案......感谢诺埃尔。 – Troy 2014-03-17 23:28:17

*更新：我做了“属性”的嵌套式，并与下面的查询查询现在看来工作：

{ 
    "query" : { 
     "nested" : { 
     "path" : "attributes", 
     "query" : { 
      "term" : { 
      "attributes.categories.path" : "/Airport/Hangar 1" 
      } 
     } 
     } 
    } 
}

来源

2014-03-17 23:27:33 Troy

查询elasticsearch多场

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