elasticsearch - Elastic Search多字同义词无法按预期工作

Question

我有一个ElasticSearch搜索引擎，并且正在为其添加同义词支持。对于unigram同义词来说一切都很好，但是在开始处理多单词同义词时，一切都弄糟了。

例如，我希望以下查询-“冰淇淋”返回每个有关“冰淇淋”或“冰淇淋”或“冰淇淋”的文档。

我的映射设置如下

PUT stam_test_1
{
  "settings": {
    "analysis": {
      "filter": {
        "english_stop": {
          "type": "stop",
          "stopwords": "_english_"
        },
        "english_stemmer": {
          "type": "stemmer",
          "language": "english"
        },
        "plural_stemmer": {
          "name": "minimal_english",
          "type": "stemmer"
        },
        "english_possessive_stemmer": {
          "type": "stemmer",
          "language": "possessive_english"
        },
        "english_graph_synonyms": {
          "type": "synonym_graph",
          "tokenizer": "standard",
          "expand": true,
          "synonyms": [
            "ice cream, icecream, creamery, gelato",
            "dim sum, dim sim, dimsim",
            "ube, purple yam",
            "sf, san francisco"
          ]
        },
        "english_synonyms": {
          "type": "synonym",
          "expand": true,
          "tokenizer": "standard",
          "synonyms": [
            "burger, hamburger, slider",
            "chicken, pollo",
            "pork, pig, porc",
            "barbeque, bbq, barbecue",
            "sauce, dressing"
          ]
        }
      },
      "analyzer": {
        "english": {
          "tokenizer": "standard",
          "filter": [
            "english_possessive_stemmer",
            "lowercase",
            "plural_stemmer",
            "english_stop",
            "english_stemmer",
            "asciifolding",
            "english_synonyms"
          ]
        },
        "english_search": {
          "tokenizer": "standard",
          "filter": [
            "english_possessive_stemmer",
            "lowercase",
            "plural_stemmer",
            "english_stop",
            "english_stemmer",
            "asciifolding",
            "english_graph_synonyms"
          ]
        }
      }
    }
  },
  "mappings": {
    "properties": {
      "text_field": {
        "type": "text",
        "fields": {
          "post_text": {
            "type": "text",
            "analyzer": "english",
            "search_analyzer": "english_search"
          }
        }
      }
    }
  }
}

我要添加一些文件

POST _bulk
{ "index" : { "_index" : "stam_test_1", "_id" : "1" } }
{ "post_text" : "Love this ice cream so much!!!"}
{ "index" : { "_index" : "stam_test_1", "_id" : "2" } }
{ "post_text" : "Great gelato and a tasty burger"}
{ "index" : { "_index" : "stam_test_1",  "_id" : "3" } }
{ "post_text" : "I bought coke but did not get any ice with it" }
{ "index" : { "_index" : "stam_test_1", "_id" : "4" } }
{ "post_text" : "ic cream" }

当我查询“冰淇淋”时
GET / stam_test_1 / _search

{
  "query": {
    "match": {
      "post_text": {
        "query": "ice cream",
        "analyzer": "english_search"}
    }
  }
}

我得到以下结果

{
  "took" : 4,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : 2.6678555,
    "hits" : [
      {
        "_index" : "stam_test_1",
        "_type" : "_doc",
        "_id" : "10",
        "_score" : 2.6678555,
        "_source" : {
          "post_text" : "ic cream"
        }
      },
      {
        "_index" : "stam_test_1",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : 0.6931472,
        "_source" : {
          "post_text" : "Great gelato and a tasty burger"
        }
      }
    ]
  }
}

您可以看到，我故意添加了一个已经阻止的文档-“ic cream”，但我没有得到第一个文档“非常爱这款冰淇淋!”时，我怀疑它返回了。

当我直接在“冰淇淋”上测试分析仪时

GET stam_test_1/_analyze?
{
  "analyzer": "english_search",
  "text" : "ice cream"
}

它返回

{
  "tokens" : [
    {
      "token" : "icecream",
      "start_offset" : 0,
      "end_offset" : 9,
      "type" : "SYNONYM",
      "position" : 0,
      "positionLength" : 2
    },
    {
      "token" : "softserv",
      "start_offset" : 0,
      "end_offset" : 9,
      "type" : "SYNONYM",
      "position" : 0,
      "positionLength" : 2
    },
    {
      "token" : "icream",
      "start_offset" : 0,
      "end_offset" : 9,
      "type" : "SYNONYM",
      "position" : 0,
      "positionLength" : 2
    },
    {
      "token" : "creameri",
      "start_offset" : 0,
      "end_offset" : 9,
      "type" : "SYNONYM",
      "position" : 0,
      "positionLength" : 2
    },
    {
      "token" : "gelato",
      "start_offset" : 0,
      "end_offset" : 9,
      "type" : "SYNONYM",
      "position" : 0,
      "positionLength" : 2
    },
    {
      "token" : "ic",
      "start_offset" : 0,
      "end_offset" : 3,
      "type" : "<ALPHANUM>",
      "position" : 0
    },
    {
      "token" : "cream",
      "start_offset" : 4,
      "end_offset" : 9,
      "type" : "<ALPHANUM>",
      "position" : 1
    }
  ]
}

uni-word同义词正常返回，但是多词被阻止(每个标记分别)，并且似乎没有阻止实际文档(这就是为什么我得到“ic cream”文档的原因)。

我确定这只是错误设置的定义。我试图用“关键字”而不是“标准”替换english_search分析器的标记器，但也没有运气。

关于如何处理此问题有什么建议吗？ onymous_graph功能只有很少量的文档和Google结果。

Answer 1

所以我的错误是映射定义。我不应该定义字段，我所要做的就是使用以下映射，并且这样都可以正常工作

"mappings": {
    "properties": {
      "post_text": {
        "type": "text",
        "analyzer": "english",
        "search_analyzer": "english_search"
      }
    }
  }