1

我正在本地 1.7.5 elasticsearch 安装上尝试这个

http://localhost:9200/_analyze?filter=shingle&tokenizer=keyword&text=alkis stack

我看到这个

{
   "tokens":[
      {
         "token":"alkis stack",
         "start_offset":0,
         "end_offset":11,
         "type":"word",
         "position":1
      }
   ]
}

我希望看到这样的东西

{
   "tokens":[
      {
         "token":"alkis stack",
         "start_offset":0,
         "end_offset":11,
         "type":"word",
         "position":1
      },
      {
         "token":"stack alkis",
         "start_offset":0,
         "end_offset":11,
         "type":"word",
         "position":1
      }
   ]
}

我错过了什么吗？

更新

{
  "number_of_shards": 2,
  "number_of_replicas": 0,
  "analysis": {
    "char_filter": {
      "map_special_chars": {
        "type": "mapping",
        "mappings": [
          "- => \\u0020",
          ". => \\u0020",
          "? => \\u0020",
          ", => \\u0020",
          "` => \\u0020",
          "' => \\u0020",
          "\" => \\u0020"
        ]
      }
    },
    "filter": {
      "permutate_fullname": {
        "type": "shingle",
        "max_shingle_size": 4,
        "min_shingle_size": 2,
        "output_unigrams": true,
        "token_separator": " ",
        "filler_token": "_"
      }
    },
    "analyzer": {
      "fullname_analyzer_search": {
        "char_filter": [
          "map_special_chars"
        ],
        "filter": [
          "asciifolding",
          "lowercase",
          "trim"
        ],
        "type": "custom",
        "tokenizer": "keyword"
      },
      "fullname_analyzer_index": {
        "char_filter": [
          "map_special_chars"
        ],
        "filter": [
          "asciifolding",
          "lowercase",
          "trim",
          "permutate_fullname"
        ],
        "type": "custom",
        "tokenizer": "keyword"
      }
    }
  }
}

我正在尝试这样的测试

http://localhost:9200/INDEX_NAME/_analyze?analyzer=fullname_analyzer_index&text=alkis stack
4

1 回答 1

1

在 ES 中的两个单独字段中索引名字和姓氏，就像在数据库中一样。可以分析作为查询接收的文本（match例如， do it， query_stringdo it）。并且有一些方法可以使用搜索字符串中的所有术语同时搜索两个字段。我认为您一次性使用单个名称使用例过于复杂，并在索引时创建名称排列。

于 2016-07-21T21:09:43.690 回答