设置字段的规范化器 [英] Set normalizer for field

问题描述

这是我的查询:

  {设置":{分析": {分析器":{折叠式的": {"tokenizer":空白"，过滤器":[小写字母"，"asciifolding"]}}，规范化工具":{"lowerasciinormalizer":{"type":"custom"，过滤器":[小写字母"，"asciifolding"]}}}}，映射":{实体": {特性": {描述": {"type":文字"，"analyzer":空白"，"normalizer":"lowerasciinormalizer"}，名称": {"type":文字"，"analyzer":空白"，"normalizer":"lowerasciinormalizer"}}}}} 

实体是索引中的一种类型.我收到错误消息:

  {错误": {根本原因": [{"type":"mapper_parsing_exception"，"reason":"[Description]的映射定义具有不受支持的参数:[normalizer:lowerasciinormalizer]"}]，"type":"mapper_parsing_exception"，"reason":无法解析映射[entity]:[Description]的映射定义具有不受支持的参数:[normalizer:lowerasciinormalizer]"，"caused_by":{"type":"mapper_parsing_exception"，"reason":"[Description]的映射定义具有不受支持的参数:[normalizer:lowerasciinormalizer]"}}，状态":400} 

我该如何解决?

解决方案

Normalizer保证它产生单个标记，并且只能应用于关键字类型字段，而不能应用于文本类型字段.您可以执行的操作是将 fields 添加到属性中，该属性的字段类型为 keyword ，然后对其应用标记化器.

这是修改映射的方法:

  {设置":{分析": {分析器":{折叠式的": {"tokenizer":空白"，筛选": [小写"，"asciifolding"]}}，规范化工具":{"lowerasciinormalizer":{"type":"custom"，筛选": [小写"，"asciifolding"]}}}}，映射":{实体": {特性": {描述": {"type":文字"，"analyzer":空白"，字段":{关键字":{"type":关键字"，"normalizer":"lowerasciinormalizer"}}}，名称": {"type":文字"，"analyzer":空白"，字段":{关键字":{"type":关键字"，"normalizer":"lowerasciinormalizer"}}}}}}} 

Here is my query:

{  
    "settings": {
    "analysis": {
      "analyzer": {
        "folding": {
          "tokenizer": "whitespace",
          "filter":  [ "lowercase", "asciifolding" ]
        }
      },
      "normalizer": {
        "lowerasciinormalizer": {
          "type": "custom",
          "filter":  [ "lowercase", "asciifolding" ]
        }
      }
    }
  },
  "mappings": {
             "entity": {
                 "properties": {

                     "Description": {
              "type": "text",
                "analyzer": "whitespace",
                          "normalizer": "lowerasciinormalizer"
              },

                    "Name": {
              "type": "text",
                "analyzer": "whitespace",
                    "normalizer": "lowerasciinormalizer"
            }
            }
     }
    }
}

entity is a type in the index. I get error message:

{
  "error": {
    "root_cause": [
      {
        "type": "mapper_parsing_exception",
        "reason": "Mapping definition for [Description] has unsupported parameters:  [normalizer : lowerasciinormalizer]"
      }
    ],
    "type": "mapper_parsing_exception",
    "reason": "Failed to parse mapping [entity]: Mapping definition for [Description] has unsupported parameters:  [normalizer : lowerasciinormalizer]",
    "caused_by": {
      "type": "mapper_parsing_exception",
      "reason": "Mapping definition for [Description] has unsupported parameters:  [normalizer : lowerasciinormalizer]"
    }
  },
  "status": 400
}

How can I fix it ?

解决方案

Normalizer guarantees that it produces a single token and can be applied to keyword type fields only and can't be applied for text type field. What you can do is add fields to property with a field of type keyword and apply tokenizer to it.

This is how you can modify the mapping:

{
  "settings": {
    "analysis": {
      "analyzer": {
        "folding": {
          "tokenizer": "whitespace",
          "filter": [
            "lowercase",
            "asciifolding"
          ]
        }
      },
      "normalizer": {
        "lowerasciinormalizer": {
          "type": "custom",
          "filter": [
            "lowercase",
            "asciifolding"
          ]
        }
      }
    }
  },
  "mappings": {
    "entity": {
      "properties": {
        "Description": {
          "type": "text",
          "analyzer": "whitespace",
          "fields": {
            "keyword": {
              "type": "keyword",
              "normalizer": "lowerasciinormalizer"
            }
          }
        },
        "Name": {
          "type": "text",
          "analyzer": "whitespace",
          "fields": {
            "keyword": {
              "type": "keyword",
              "normalizer": "lowerasciinormalizer"
            }
          }
        }
      }
    }
  }
}

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