非常基本的查询在 Elasticsearch 中没有返回任何结果答案

【问题标题】：Really basic query returning no results in Elasticsearch非常基本的查询在 Elasticsearch 中没有返回任何结果
【发布时间】：2016-01-11 12:42:10
【问题描述】：

我需要修复由 Elasticsearch 1.7.x 支持的搜索实现。我们遇到的主要问题是返回的搜索结果的相关性。

出于各种原因，我正在从命令行尝试一些非常基本的查询（我的意思是 this basic: https://www.elastic.co/guide/en/elasticsearch/guide/1.x/query-dsl-intro.html）。

我有一个包含两个文档的索引，如下：

{  
   "took":1,
   "timed_out":false,
   "_shards":{  
      "total":5,
      "successful":5,
      "failed":0
   },
   "hits":{  
      "total":2,
      "max_score":1.0,
      "hits":[  
         {  
            "_index":"merchantv2",
            "_type":"searchablemerchant",
            "_id":"00000000-0000-0000-0000-000000000000",
            "_score":1.0,
            "_source":{  
               "merchantGuid":"00000000-0000-0000-0000-000000000000",
               "v1MerchantId":0,
               "locatorId":"0",
               "address":{  
                  "addressGuid":"00000000-0000-0000-0000-000000000000",
                  "postCodeDetails":{  
                     "postCodeKey":0,
                     "postalDistrict":{  
                        "postalDistrictKey":0,
                        "postalDistrict":""
                     },
                     "postalLocation":"0",
                     "latitude":0.0,
                     "longitude":0.0,
                     "townName":"None",
                     "countyKey":0,
                     "countryKey":0,
                     "postCode":{  
                        "postCodeKey":0,
                        "postCode":" 0"
                     }
                  },
                  "county":{  
                     "countyKey":0,
                     "countyName":"",
                     "countryKey":0,
                     "recStatus":3,
                     "countryKeyValue":0
                  },
                  "countryKey":0,
                  "addressTypeKey":0,
                  "updateDate":"0001-01-01T00:00:00+00:00",
                  "createdDate":"2016-01-07T19:46:28.4463+00:00"
               },
               "searchableAddress":" 0",
               "searchablePhone":"",
               "searchableFax":"",
               "businessName":"",
               "contacts":[  

               ],
               "opportunities":[  
                  {  
                     "opportunityGuid":"00000000-0000-0000-0000-000000000000",
                     "merchantGuid":"00000000-0000-0000-0000-000000000000",
                     "location":{  
                        "locationGuid":"00000000-0000-0000-0000-000000000000",
                        "tradingAddress":{  
                           "verified":false,
                           "addressGuid":"00000000-0000-0000-0000-000000000000",
                           "postCodeDetails":{  
                              "postCodeKey":0,
                              "postalDistrict":{  
                                 "postalDistrictKey":0,
                                 "postalDistrict":""
                              },
                              "postalLocation":"0",
                              "latitude":0.0,
                              "longitude":0.0,
                              "townName":"None",
                              "countyKey":0,
                              "countryKey":0,
                              "postCode":{  
                                 "postCodeKey":0,
                                 "postCode":" 0"
                              }
                           },
                           "county":{  
                              "countyKey":0,
                              "countyName":"",
                              "countryKey":0,
                              "recStatus":3,
                              "countryKeyValue":0
                           },
                           "countryKey":0,
                           "addressTypeKey":0,
                           "updateDate":"0001-01-01T00:00:00+00:00",
                           "createdDate":"2016-01-07T19:46:28.4463+00:00"
                        }
                     },
                     "opportunityLocatorId":"000000"
                  }
               ]
            }
         },
         {  
            "_index":"merchantv2",
            "_type":"searchablemerchant",
            "_id":"5f55fe61-ca65-e411-93f3-0cc47a07ef4a",
            "_score":1.0,
            "_source":{  
               "merchantGuid":"5f55fe61-ca65-e411-93f3-0cc47a07ef4a",
               "locatorId":"PM227Z02",
               "address":{  
                  "addressGuid":"5c55fe61-ca65-e411-93f3-0cc47a07ef4a",
                  "houseNumber":"242",
                  "streetName":"Acklam Road",
                  "houseName":"",
                  "flatAptSuite":"",
                  "townName":"London",
                  "postCodeDetails":{  
                     "postCodeKey":1,
                     "postalDistrict":{  
                        "postalDistrictKey":2782,
                        "postalDistrict":"W10"
                     },
                     "postalLocation":"5JJ",
                     "latitude":51.52094651,
                     "longitude":-0.20149990,
                     "townName":"London",
                     "countyKey":0,
                     "countryKey":224,
                     "postCode":{  
                        "postCodeKey":1,
                        "postCode":"W10 5JJ"
                     }
                  },
                  "county":{  
                     "countyKey":626,
                     "countyName":"Kensington And Chelsea",
                     "countryKey":224,
                     "recStatus":1,
                     "countryKeyValue":224
                  },
                  "countryKey":224,
                  "addressTypeKey":0,
                  "updateDate":"0001-01-01T00:00:00+00:00",
                  "createdDate":"2016-01-07T19:46:28.4653+00:00"
               },
               "searchableAddress":"242 Acklam Road, London, Kensington And Chelsea, W10 5JJ",
               "searchablePhone":"+44 2031954484",
               "searchableFax":"",
               "businessName":"Test Merchant",
               "contacts":[  

               ],
               "opportunities":[  

               ]
            }
         }
      ]
   }
}

我想查询businessName 字段。我从命令行使用以下查询：

curl -XGET http://localhost:9200/merchantv2/_search -d '
{
    "query": {
        "match": {
            "businessName": "test"
        }
    }
}'

我希望它匹配 businessName 设置为“测试商家”的文档，但实际上我没有返回任何匹配项：

{"took":45,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":0,"max_score":null,"hits":[]}}

我通过以下搜索词得到了类似的结果：test*、*test*、Test、Test Merchant、test merchant。

鉴于businessName 是顶级属性，我对此感到有些困惑。请问大家有什么想法吗？

编辑 - 忘记包含映射

这是businessName 字段的映射：

           "businessName":{  
              "type":"string"
           },

【问题讨论】：

你不会删除这个吧？ ;-)
哈哈 - 不。在这种情况下，我认为这不仅仅是一个错字。
请注意，match 查询不支持通配符（即test* 和*test*），但其他四个应该可以工作。
您可以尝试使用-XPOST 而不是-XGET，因为您正在发送有效负载？
看这个：elastic.co/guide/en/elasticsearch/reference/1.7/…

标签： elasticsearch

【解决方案1】：

挖出索引配置后发现。该索引是在运行时使用 NEST 构建的，看起来它在分析过程中会去除空白字符。因此，正如 Val 针对通配符指出的那样，match 永远不会起作用，因为它需要完全匹配。

match_phrase_prefix 确实有效，直到您尝试“test mer”或“mer”之类的方法，这两种方法都不返回任何结果。但是，“testmer”确实会返回匹配项。

这是配置的违规部分：

             .Analysis(descriptor => descriptor
                .Analyzers(bases => bases
                    .Add("trimmed_specChars", new CustomAnalyzer()
                    {
                        CharFilter = new List<string> { "drop_specChars" },
                        Tokenizer = "standard",
                        Filter = new List<string>() { "lowercase", "asciifolding", "lowercase" }
                    })
                    .Add("no_whitespace", new CustomAnalyzer() // <-- Bad times
                    {
                        CharFilter = new List<string> { "drop_whiteSpace" },
                        Tokenizer = "standard",
                        Filter = new List<string>() { "lowercase", "asciifolding", "lowercase" }
                    })
                 ).CharFilters(cf => cf
                    .Add("drop_specChars", new PatternReplaceCharFilter
                    {
                        Pattern = @"[^0-9a-zA-Z]",
                        Replacement = ""
                    })
                    .Add("drop_whiteSpace", new PatternReplaceCharFilter() // <-- Also bad times
                    {
                        Pattern = @" ",
                        Replacement = ""
                    })

                )

我在这里可能不合时宜，但我觉得去除空格是不必要的，而且如果不这样做，搜索会更可靠，所以我将对此进行试验。

【讨论】：