如何使用Azure认知搜索搜索字符串的一部分

我是Azure认知搜索的新手，并且已经成功地配置了我的索引以实现自动完成（使用部分搜索，多亏了）

但现在我有了另一个用例，其中我有许多文件存储在带有元数据的Azure Blob容器中：

（每个文件的）元数据字段中有一个称为PartNumber，其值是一个用逗号分隔的产品SKU字符串（如“12345678900110293809876”）。 我建立索引是为了将此信息存储为Edm.String，如下所示：

{
  "name": "my-index",
  "fields": [
    {
      "name": "partnumbers",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_name",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_content_type",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_last_modified",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_path",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_size",
      "type": "Edm.Int64",
      "facetable": true,
      "filterable": true,
      "retrievable": false,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "key",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": true,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "partialPartnumbers",
      "type": "Edm.String",
      "facetable": false,
      "filterable": false,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": false,
      "analyzer": null,
      "indexAnalyzer": "prefixCmAnalyzer",
      "searchAnalyzer": "standardCmAnalyzer",
      "synonymMaps": [],
      "fields": []
    },
  ],
  "suggesters": [
    {
      "name": "my-index_suggester",
      "searchMode": "analyzingInfixMatching",
      "sourceFields": [
        "partnumbers"
      ]
    }
  ],
  "scoringProfiles": [
    {
      "name": "exactFirst",
      "functions": [],
      "functionAggregation": null,
      "text": {
        "weights": {
          "partnumbers": 2,
          "partialPartnumbers": 1,
        }
      }
    }
  ],
  "defaultScoringProfile": "exactFirst",
  "corsOptions": null,
  "analyzers": [
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "standardCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding"
      ],
      "charFilters": []
    },
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "prefixCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding",
        "edgeNGramCmTokenFilter"
      ],
      "charFilters": []
    }
  ],
  "charFilters": [],
  "tokenFilters": [
    {
      "@odata.type": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
      "name": "edgeNGramCmTokenFilter",
      "minGram": 2,
      "maxGram": 20,
      "side": "front"
    }
  ],
  "tokenizers": [],
  "@odata.etag": "\"0x8D8184F367A74XX\""
}

现在，我正在努力寻找一种方法（通过特定语法？分析器？标记器？）来找到所有具有PartNumber元数据字段的文件，该字段包含一个SKU（以便我可以检索与一个产品相关的所有文档）：我希望传递SKU“102938”到Azure Search，它将返回在其PartNumber元数据字段（可能包括其他SKU）中包含此SKU的所有文件

但是我很难在谷歌上找到例子，而且现在的文档似乎有点超出我的能力范围（我不确定什么是分析器、标记器等，以及它们是如何工作的！这是我第一次深入“搜索”世界…）

所以我真的很感激社区能在这方面帮助我，我很想读一些文章，让初学者了解每一件事，或者教程，或者任何能帮助我向前迈进的东西

---

提前感谢。

好的，我刚刚尝试了一些有效的方法：我在我的零件号字段中定义了，当我使用进行测试时，它确实将我的SKU分割为几个令牌。 在那之后，我可以搜索一个SKU，它给了我所有我想要的文件！ 以下是我的索引JSON定义：

{
  "name": "my-index",
  "fields": [
    {
      "name": "partnumbers",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": "pattern",
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_name",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_content_type",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_last_modified",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_path",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_size",
      "type": "Edm.Int64",
      "facetable": true,
      "filterable": true,
      "retrievable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "key",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": true,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "name",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "partialPartnumbers",
      "type": "Edm.String",
      "facetable": false,
      "filterable": false,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": false,
      "analyzer": null,
      "indexAnalyzer": "prefixCmAnalyzer",
      "searchAnalyzer": "standardCmAnalyzer",
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "partialName",
      "type": "Edm.String",
      "facetable": false,
      "filterable": false,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": false,
      "analyzer": null,
      "indexAnalyzer": "prefixCmAnalyzer",
      "searchAnalyzer": "standardCmAnalyzer",
      "synonymMaps": [],
      "fields": []
    }
  ],
  "suggesters": [
    {
      "name": "conformity-certificates-index_suggester",
      "searchMode": "analyzingInfixMatching",
      "sourceFields": [
        "name"
      ]
    }
  ],
  "scoringProfiles": [
    {
      "name": "exactFirst",
      "functions": [],
      "functionAggregation": null,
      "text": {
        "weights": {
          "partnumbers": 4,
          "partialPartnumbers": 3,
          "name": 2,
          "partialName": 1
        }
      }
    }
  ],
  "defaultScoringProfile": "exactFirst",
  "corsOptions": null,
  "analyzers": [
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "standardCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding"
      ],
      "charFilters": []
    },
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "prefixCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding",
        "edgeNGramCmTokenFilter"
      ],
      "charFilters": []
    }
  ],
  "charFilters": [],
  "tokenFilters": [
    {
      "@odata.type": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
      "name": "edgeNGramCmTokenFilter",
      "minGram": 2,
      "maxGram": 20,
      "side": "front"
    }
  ],
  "tokenizers": [],
  "@odata.etag": "\"0x8D818EC80CXXXX\""
}

---

好的，我刚刚尝试了一些有效的方法：我在我的PartNumber字段中定义了，当我使用进行测试时，它确实将我的SKU分割为几个令牌。 在那之后，我可以搜索一个SKU，它给了我所有我想要的文件！ 以下是我的索引JSON定义：

{
  "name": "my-index",
  "fields": [
    {
      "name": "partnumbers",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": "pattern",
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_name",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_content_type",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_last_modified",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_path",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "metadata_storage_size",
      "type": "Edm.Int64",
      "facetable": true,
      "filterable": true,
      "retrievable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "key",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": true,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "name",
      "type": "Edm.String",
      "facetable": true,
      "filterable": true,
      "key": false,
      "retrievable": true,
      "searchable": true,
      "sortable": true,
      "analyzer": null,
      "indexAnalyzer": null,
      "searchAnalyzer": null,
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "partialPartnumbers",
      "type": "Edm.String",
      "facetable": false,
      "filterable": false,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": false,
      "analyzer": null,
      "indexAnalyzer": "prefixCmAnalyzer",
      "searchAnalyzer": "standardCmAnalyzer",
      "synonymMaps": [],
      "fields": []
    },
    {
      "name": "partialName",
      "type": "Edm.String",
      "facetable": false,
      "filterable": false,
      "key": false,
      "retrievable": false,
      "searchable": true,
      "sortable": false,
      "analyzer": null,
      "indexAnalyzer": "prefixCmAnalyzer",
      "searchAnalyzer": "standardCmAnalyzer",
      "synonymMaps": [],
      "fields": []
    }
  ],
  "suggesters": [
    {
      "name": "conformity-certificates-index_suggester",
      "searchMode": "analyzingInfixMatching",
      "sourceFields": [
        "name"
      ]
    }
  ],
  "scoringProfiles": [
    {
      "name": "exactFirst",
      "functions": [],
      "functionAggregation": null,
      "text": {
        "weights": {
          "partnumbers": 4,
          "partialPartnumbers": 3,
          "name": 2,
          "partialName": 1
        }
      }
    }
  ],
  "defaultScoringProfile": "exactFirst",
  "corsOptions": null,
  "analyzers": [
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "standardCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding"
      ],
      "charFilters": []
    },
    {
      "@odata.type": "#Microsoft.Azure.Search.CustomAnalyzer",
      "name": "prefixCmAnalyzer",
      "tokenizer": "standard_v2",
      "tokenFilters": [
        "lowercase",
        "asciifolding",
        "edgeNGramCmTokenFilter"
      ],
      "charFilters": []
    }
  ],
  "charFilters": [],
  "tokenFilters": [
    {
      "@odata.type": "#Microsoft.Azure.Search.EdgeNGramTokenFilterV2",
      "name": "edgeNGramCmTokenFilter",
      "minGram": 2,
      "maxGram": 20,
      "side": "front"
    }
  ],
  "tokenizers": [],
  "@odata.etag": "\"0x8D818EC80CXXXX\""
}

---

这应该可以通过正则表达式和通配符搜索实现

这可以应用于在索引上配置了查询分析器的任何可搜索字段

“…通过设置queryType=Full获得的完整Lucene查询语言通过添加对更多运算符和查询类型（如通配符、模糊、正则表达式和字段范围查询）的支持，扩展了默认的简单查询语言。例如，以简单查询语法发送的正则表达式将被解释为查询字符串而不是表达式。本文中的示例请求使用完整的Lucene查询语言。”

字段名：searchExpression

e、 g.searchFields=partnumber&$select=partnumber&search=partnumber:102938*

---

这应该可以通过正则表达式和通配符搜索实现

这可以应用于在索引上配置了查询分析器的任何可搜索字段

“…通过设置queryType=Full获得的完整Lucene查询语言通过添加对更多运算符和查询类型（如通配符、模糊、正则表达式和字段范围查询）的支持，扩展了默认的简单查询语言。例如，以简单查询语法发送的正则表达式将被解释为查询字符串而不是表达式。本文中的示例请求使用完整的Lucene查询语言。”

字段名：searchExpression

e、 g.searchFields=partnumber&$select=partnumber&search=partnumber:102938*

---

您可以使用常规过滤器搜索零件号

$filter=search.in（零件号，'102938'，'

您将在此处的文档中找到更多示例：

不要在此用例中使用通配符或正则表达式。您的示例具有长度可变的零件号。因此，对102938*的通配符搜索也会无意中匹配1029381、10293810、102938123等

---

您的数据已经明确准确地列出了一组零件号。您可以根据该列表进行查询。

您可以使用常规过滤器搜索零件号

$filter=search.in（零件号，'102938'，'

您将在此处的文档中找到更多示例：

不要在此用例中使用通配符或正则表达式。您的示例具有长度可变的零件号。因此，对102938*的通配符搜索也会无意中匹配1029381、10293810、102938123等

您的数据已经明确准确地列出了一组零件号。您可以根据该列表进行查询