返回从ElasticSearch中的字段派生的关键字集

问题描述

对此我有点陌生，我需要帮助，我看了网上找不到我正在寻找的任何答案.基本上，我想做的是基于从某些文本字段派生的关键字进行自动填充

Im kinda new to this i need help, i looked online couldnt find any answer im looking for. Basically, what im trying to do is for autocomplete based on keywords derived from some textfields

举一个我的索引的例子:

Given an example of my indices:

"name": "One liter of Chocolate Milk"
"name": "Milo Milk 250g"
"name": "HiLow low fat milk"
"name": "Yoghurt strawberry"
"name": "Milk Nutrisoy"

因此，当我输入"mi"时，我希望得到如下结果:

So when i type in "mi", im expecting to get the results like:

"milk"
"milo"
"milo milk"
"chocolate milk" 
etc

很好的例子是此aliexpress.com自动完成

Very good example is this aliexpress.com autocomplete

预先感谢

推荐答案

对于 木片令牌过滤器

That seems like a good use case for the shingle token filter

curl -XPUT localhost:9200/your_index -d '{
  "settings": {
      "analysis": {
        "analyzer": {
          "my_shingles": {
            "tokenizer": "standard",
            "filter": [
              "lowercase",
              "shingles"
            ]
          }
        },
        "filter": {
          "shingles": {
            "type": "shingle",
            "min_shingle_size": 2,
            "max_shingle_size": 2,
            "output_unigrams": true
          }
        }
      }
  },
  "mappings": {
    "your_type": {
      "properties": {
        "field": {
          "type": "string",
          "analyzer": "my_shingles"
        }
      }
    }
  }
}'

如果使用此分析仪分析 Milo Milk 250g ，您将获得以下令牌:

If you analyze Milo Milk 250g with this analyzer, you'll get the following tokens:

curl -XGET 'localhost:9200/your_index/_analyze?analyzer=my_shingles&pretty' -d 'Milo Milk 250g'

{
  "tokens" : [ {
    "token" : "milo",
    "start_offset" : 0,
    "end_offset" : 4,
    "type" : "<ALPHANUM>",
    "position" : 0
  }, {
    "token" : "milo milk",
    "start_offset" : 0,
    "end_offset" : 9,
    "type" : "shingle",
    "position" : 0
  }, {
    "token" : "milk",
    "start_offset" : 5,
    "end_offset" : 9,
    "type" : "<ALPHANUM>",
    "position" : 1
  }, {
    "token" : "milk 250g",
    "start_offset" : 5,
    "end_offset" : 14,
    "type" : "shingle",
    "position" : 1
  }, {
    "token" : "250g",
    "start_offset" : 10,
    "end_offset" : 14,
    "type" : "<ALPHANUM>",
    "position" : 2
  } ]
}

因此，当搜索 mi 时，您将获得以下令牌:

So when searching for mi, you'll get the following tokens:

• milo
• 牛奶
• 牛奶
• 牛奶250g

这篇关于返回从ElasticSearch中的字段派生的关键字集的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！