我遵循了this tutorial中描述的步骤。我的情况有些不同:
在学习本教程之后,我能够创建索引,两个索引器(一个用于SQL DB,一个用于Blobs存储)以及两个数据源。
SQL DB包含我所有的候选项,而存储中包含其所有简历(PDF / DOC / DOCX格式的文件)。每个Blob都有一个元数据“ ResumeCandidateId”,该元数据包含与候选者的“ CandidateId”相同的值。
我的索引包含以下字段:
[SerializePropertyNamesAsCamelCase]
public partial class Candidate
{
[Key]
[IsFilterable, IsRetrievable(true), IsSearchable]
public string CandidateId { get; set; }
[IsFilterable, IsRetrievable(true), IsSearchable, IsSortable]
public string LastName { get; set; }
[IsFilterable, IsRetrievable(true), IsSearchable, IsSortable]
public string FirstName { get; set; }
[IsFilterable, IsRetrievable(true), IsSearchable, IsSortable]
public string Notes { get; set; }
public ResumeBlob[] ResumeBlobs { get; set; }
}
[SerializePropertyNamesAsCamelCase]
public class ResumeBlob
{
[IsRetrievable(true), IsSearchable]
[Analyzer(AnalyzerName.AsString.StandardLucene)]
public string content { get; set; }
[IsRetrievable(true)]
public string metadata_storage_content_type { get; set; }
public long metadata_storage_size { get; set; }
public DateTime metadata_storage_last_modified { get; set; }
public string metadata_storage_name { get; set; }
[Key]
[IsRetrievable(true)]
public string metadata_storage_path { get; set; }
[IsRetrievable(true)]
public string metadata_content_type { get; set; }
public string metadata_author { get; set; }
public DateTime metadata_creation_date { get; set; }
public DateTime metadata_last_modified { get; set; }
public string ResumeCandidateId { get; set; }
}
如您所见,一个候选人可以有多个简历。挑战在于如何填充ResumeBlobs属性...
索引器正确索引和映射了来自SQL DB的数据。当我运行Blobs索引器时,它会加载文档,但是不会映射它们,并且它们永远不会显示在搜索中(ResumeBlobs始终为空)。这是用于创建Blobs Indexer的代码:
var blobDataSource = DataSource.AzureBlobStorage(
name: "azure-blob-test02",
storageConnectionString: "DefaultEndpointsProtocol=https;AccountName=yyy;AccountKey=xxx;EndpointSuffix=core.windows.net",
containerName: "2019");
await searchService.DataSources.CreateOrUpdateAsync(blobDataSource);
List<FieldMapping> map = new List<FieldMapping> {
new FieldMapping("ResumeCandidateId", "CandidateId")
};
Indexer blobIndexer = new Indexer(
name: "hotel-rooms-blobs-indexer",
dataSourceName: blobDataSource.Name,
targetIndexName: indexName,
fieldMappings: map,
//parameters: new IndexingParameters().SetBlobExtractionMode(BlobExtractionMode.ContentAndMetadata).IndexFileNameExtensions(".DOC", ".DOCX", ".PDF", ".HTML", ".HTM"),
schedule: new IndexingSchedule(TimeSpan.FromDays(1)));
bool exists = await searchService.Indexers.ExistsAsync(blobIndexer.Name);
if (exists)
{
await searchService.Indexers.ResetAsync(blobIndexer.Name);
}
await searchService.Indexers.CreateOrUpdateAsync(blobIndexer);
try
{
await searchService.Indexers.RunAsync(blobIndexer.Name);
}
catch (CloudException e) when (e.Response.StatusCode == (HttpStatusCode)429)
{
Console.WriteLine("Failed to run indexer: {0}", e.Response.Content);
}
我评论了blobIndexer的参数,但是即使不评论也得到相同的结果。
当我运行搜索时,这是我得到的示例:
{
"@odata.context": "https://yyy.search.windows.net/indexes('index-test01')/$metadata#docs(*)",
"value": [
{
"@search.score": 1.2127206,
"candidateId": "363933d1-7e81-4ed2-b82e-d7496d98db50",
"lastName": "LAMLAST",
"firstName": "ZFIRST",
"notes": "MGA ; SQL ; T-SQL",
"resumeBlobs": []
}
]
}
“ resumeBlobs”为空。知道如何进行这种映射吗?
答案 0 :(得分:2)
AFAIK,Azure搜索不支持实现方案时必需的集合合并功能。
一种替代方法是为简历创建一个单独的索引,并将简历索引器指向该索引。这意味着您的某些搜索方案将必须命中两个索引,但这是一条前进的道路。