1

所以我很确定我在语法中遗漏了一些东西，但我似乎无法弄清楚到底是什么。我正在尝试创建此处定义的电话号码模式捕获令牌过滤器。它说要定义一个关键字过滤器，然后在顶部应用模式捕获标记。所以这就是我所做的：

{
    "mappings": {
        "_doc": {
            "properties": {
                "phone": {
                    "type": "text",
                    "analyzer": "my_phone_analyzer"
                }
            }
        }
    },
    "settings": {
        "analysis": {
            "analyzer": {
                "my_phone_analyzer": {
                    "type": "custom",
                    "tokenizer": "keyword",
                    "char_filter": [
                        "phone_number"
                    ]
                }
            }
        },
        "char_filter": {
            "phone_number": {
                "type": "pattern_capture",
                "preserve_original": 1,
                "patterns": [
                    "1(\\d{3}(\\d+))"
                ]
            }
        }
    }
}

这导致以下错误：

{
    "error": {
        "root_cause": [
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.char_filter.phone_number.patterns] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            }
        ],
        "type": "illegal_argument_exception",
        "reason": "unknown setting [index.char_filter.phone_number.patterns] please check that any required plugins are installed, or check the breaking changes documentation for removed settings",
        "suppressed": [
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.char_filter.phone_number.preserve_original] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            },
            {
                "type": "illegal_argument_exception",
                "reason": "unknown setting [index.char_filter.phone_number.type] please check that any required plugins are installed, or check the breaking changes documentation for removed settings"
            }
        ]
    },
    "status": 400
}

如果有人能指出我做错了什么，那就太好了！

4

2 回答 2

1

您提到的链接看起来很旧。

pattern_capture不再适用于char_filter但仅适用于token filter

如果您使用高于 5.x 的 Elasticsearch，以下是您的映射方式

PUT <your_index_name>
{  
   "mappings":{  
      "_doc":{  
         "properties":{  
            "phone":{  
               "type":"text",
               "analyzer":"my_phone_analyzer"
            }
         }
      }
   },
   "settings":{  
      "analysis":{  
         "analyzer":{  
            "my_phone_analyzer":{  
               "type":"custom",
               "tokenizer":"keyword",
               "filter":[  
                  "phone_number"
               ]
            }
         },
         "filter":{  
            "phone_number":{  
               "type":"pattern_capture",
               "preserve_original":true,
               "patterns":[  
                  "1(\\d{3}(\\d+))"
               ]
            }
         }
      }
   }
}

您可以使用Analyze API来查看生成了哪些令牌，如下所述：

POST <your_index_name>/_analyze
{
  "analyzer": "my_phone_analyzer",
  "text": "19195557321"
}

代币：

{
  "tokens" : [
    {
      "token" : "19195557321",
      "start_offset" : 0,
      "end_offset" : 11,
      "type" : "word",
      "position" : 0
    },
    {
      "token" : "9195557321",
      "start_offset" : 0,
      "end_offset" : 11,
      "type" : "word",
      "position" : 0
    },
    {
      "token" : "5557321",
      "start_offset" : 0,
      "end_offset" : 11,
      "type" : "word",
      "position" : 0
    }
  ]
}

希望有帮助！

于 2019-06-07T12:03:58.430 回答
1

您在创建my_phone_analyzer.

  1. pattern_capture在令牌过滤器中允许，而不是在字符过滤器中，请在此处阅读更多信息https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-pattern-capture-tokenfilter.html

  2. preserve_originalsetting 不1取值，而是使用true,false作为值。

因此，考虑到所有这些事情，我能够使用my_phone_analyzer与您相同的设置进行创建。

{
   "settings" : {
      "analysis" : {
         "filter" : {
            "code" : {
               "type" : "pattern_capture",
               "preserve_original" : true,
               "patterns": [
                    "1(\\d{3}(\\d+))"
                ]
            }
         },
         "analyzer" : {
            "code" : {
               "tokenizer" : "keyword",
               "filter" : [ "code", "lowercase" ]
            }
         }
      }
   }
}

如果您遇到任何问题，请告诉我。

于 2019-06-07T12:00:29.877 回答