如何使用Azure认知搜索来搜索字符串的一部分

时间：2020-06-25 07:20:20

标签： azure search azure-storage-blobs azure-cognitive-search azure-blob-storage

我对Azure认知搜索非常陌生，并且成功配置了索引以具有自动补全功能（感谢this article，因此使用了部分搜索）。

但是现在我有另一个用例，其中很多文件存储在带有元数据的Azure Blob容器中：

（每个文件的）元数据字段之一称为 partnumbers ，其值是一串用逗号分隔的产品SKU（例如“ 123456,78901,102938,09876”）。 我建立了索引，以便将此信息存储为 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（通过特定的语法？分析器？令牌生成器？），以找到具有 partnumbers 元数据字段且包含一个单一SKU的所有文件。 （以便我可以检索与一种产品有关的所有文档）：我想将SKU“ 102938”传递给Azure搜索，它将返回我所有 partnumbers 中包含此SKU的文件。元数据字段（可能还有其他SKU）。

但是我很难在Google上找到示例，而且该文档似乎-暂时-有点超出我的水平了（我不太确定是否正确理解了什么是分析器，令牌生成器等以及它们如何工作！这是第一次进入“搜索”世界...）。

因此，我非常希望社区能够为我提供帮助，我很想阅读文章，供初学者了解所有内容，教程或任何可以帮助我进一步发展的东西！

谢谢。

3 个答案:

答案 0 :(得分：1)

好的，我只是尝试了一些可行的方法：我在 partnumbers 字段中定义了pattern analyzer，当我用Analyzer Text API测试时，确实将我的SKU分成了几个令牌。 之后，我可以搜索一个SKU，它给了我所有我想要的文件！ 这是我的索引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\""
}

答案 1 :(得分：1)

您可以使用常规过滤器搜索零件编号。

$ filter = search.in（partnumbers，'102938'，'，'）

您可以在此处的文档中找到更多示例：https://docs.microsoft.com/en-us/azure/search/search-query-odata-filter

在此用例中，请勿使用通配符或正则表达式。您的示例的零件号长度不同。因此，通配符搜索102938 *也会无意中匹配1029381、10293810、102938123等。

您的数据已经明确且精确地列出了一组零件号。您可以查询该列表。

答案 2 :(得分：0)

这应该可以通过正则表达式和通配符搜索来实现

这可以应用于在索引上配置了Lucene查询分析器的任何可搜索字段。

“ ....通过设置queryType = full获得的Full Lucene查询语言，通过添加对更多运算符和查询类型（例如通配符，模糊，正则表达式和字段范围查询）的支持，扩展了默认的Simple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Full Lucene查询语言。“

fieldName：searchExpression

例如searchFields = partnumbers＆$ select = partnumbers＆search = partnumbers：102938 *

https://docs.microsoft.com/en-us/azure/search/query-lucene-syntax

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