Question

我正在尝试定义一个默认分析器，用于索引类似的类型：

curl -X PUT "http://localhost:9200/index" -d '{
"index" : { 
    "analysis" : { 
        "filter": {
            "english_stop": {
              "type":       "stop",
              "stopwords":  "_english_"
            },  
            "english_stemmer": {
              "type":       "stemmer",
              "language":   "english" 
            },  
            "english_possessive_stemmer": {
              "type":       "stemmer",
              "language":   "possessive_english" 
            }   
        },  
        "analyzer" : { 
            "default" : { 
                "tokenizer" : "standard",
                "filter": [
                    "standard",
                    "english_possessive_stemmer",
                    "lowercase",
                    "english_stop",
                    "english_stemmer"
                ]   
            }   
        }   
    }   
}   
}'

但是当搜索这些类型时，似乎没有分析文档，因为字段中的值不是小写的，它们不是阻止的，并且不会删除停用词。难道我做错了什么？我试图分析文档而不定义文档结构。这个page让我相信设置默认的分析器索引应该分析我插入index/_type的文档。

更新

curl -X PUT "http://localhost:26319/index" -d '{
"settings" : { 
    "analysis" : { 
        "filter": {
            "english_stop": {
              "type":       "stop",
              "stopwords":  "_english_"
            },  
            "english_stemmer": {
              "type":       "stemmer",
              "language":   "english" 
            },  
            "english_possessive_stemmer": {
              "type":       "stemmer",
              "language":   "possessive_english" 
            }   
        },  
        "analyzer" : { 
            "default" : { 
                "tokenizer" : "standard",
                "filter": [
                    "standard",
                    "english_possessive_stemmer",
                    "lowercase",
                    "english_stop",
                    "english_stemmer"
                ]   
            }   
        }   
    }   
}   
}'

这是我正在运行的搜索：

curl -X GET "http://localhost:9200/index/_type/_search?q=penn+state+jersey&pretty"

以下是映射：

{
  "index" : {
    "mappings" : {
  "_type" : {
    "properties" : {
      "description" : {
        "type" : "string"
      },
      "keyphrases_general" : {
        "type" : "string"
      },
      "keyphrases_specific" : {
        "type" : "string"
      },
      "name" : {
        "type" : "string"
      },
      "unique_id" : {
        "type" : "string"
      },
      "vendor" : {
        "type" : "string"
      }
    }
  }
    }
  }
}

以下是文档示例：

{
  "_index" : "index",
  "_type" : "_type",
  "_id" : "518875234",
  "_score" : 1.1152786,
  "_source" : {
    "keyphrases_specific" : "Office Merchandise Tailgating Outdoor Clothing Man Cave",
    "name" : "Penn State Nittany Lions Classic Football Keychain - Licensed NCAA Gift - Penn State Nittany Lions Merchandise",
    "description" : "Check out this Penn State Nittany Lions Classic Football Keychain - Licensed NCAA Gift - Penn State Nittany Lions Merchandise. This product is perfect for a Penn State Nittany Lions fan. Show off your pride and add a great piece to your man cave! Made By Gamewear",
    "keyphrases_general" : "Sports Bedding Drinkware Licensed Dï¿½cor Accessories Gift",
    "vendor" : null,
    "unique_id" : null
  }
}

它也很奇怪，因为penn state jersey和penn state jerseys会返回不同的搜索结果，即使我认为他们应该返回相同的内容，因为球衣不应该是复数。

Elasticsearch默认分析器无法分析

0 个答案: