Azure BlobStorage Blob索引 [英] Azure BlobStorage blobs to Index

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本文介绍了Azure BlobStorage Blob索引的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

是否可以将文档上传到Blob存储并执行以下操作:

Is it possible to upload a document to a blob storage and do the following:

  1. 获取文档内容并添加到索引.
  2. 从第1点的内容中获取关键短语并添加到索引中.

我希望关键词可以被搜索.

I want the key phrases then to be searchable.

我有一些代码可以将文档上载到一个完美的blob存储中,但是唯一获得此索引(我知道)的方法是使用Azure搜索服务中的导入数据",该服务可以创建并建立索引预定义字段-如下:

I have code that can upload documents to a blobstorage which works perfect, but the only way to get this indexed(that I know of) is by using the "Import Data" within the Azure Search service, which creates and index with predefined fields - as below:

当仅需要这些字段并且索引每5分钟自动更新一次时,此方法非常有用.但是当我想要一个自定义索引时便成为问题

This works great when only needing these fields and the index gets updated automatically every 5 min. But becomes a problem when I want to have a custom Index

但是,我想要的唯一字段如下:

However, the only fields I DO want, are the following:

  • fileId
  • fileText(这是文档的内容)
  • blobURL(允许下载文档)
  • keyPhrases(将从fileText中拉出-我也有执行此操作的代码)

我唯一的问题是我需要能够检索Document内容(fileText)才能获取keyPhrases,但据我所知,只有在Document Content已经在索引中时,我才能这样做我可以访问该内容?

The only issue I have is that I need to be able to retrieve the Document content(fileText) to be able to get the keyPhrases, but to my understanding, I can only do this if the Document Content is already in an index for me to access that Content?

我对Azure的了解非常有限,并且很难找到与我想做的事情类似的事情.

I have very limited knowledge with Azure and struggling to find anything that similar to what I want to do.

我用来将文档上传到Blob存储的代码如下:

The code that I am using to upload a document to my blob storage is as follows:

public CloudBlockBlob UploadBlob(HttpPostedFileBase file)
    {
        string searchServiceName = ConfigurationManager.AppSettings["SearchServiceName"];
        string blobStorageKey = ConfigurationManager.AppSettings["BlobStorageKey"];
        string blobStorageName = ConfigurationManager.AppSettings["BlobStorageName"];
        string blobStorageURL = ConfigurationManager.AppSettings["BlobStorageURL"];
        string UserID = User.Identity.GetUserId();
        string UploadDateTime = DateTime.Now.ToString("yyyyMMddhhmmss").ToString();

        try
        {
            var path = Path.Combine(Server.MapPath("~/App_Data/Uploads"), UserID + "_" + UploadDateTime + "_" + file.FileName);

            file.SaveAs(path);

            var credentials = new StorageCredentials(searchServiceName, blobStorageKey);

            var client = new CloudBlobClient(new Uri(blobStorageURL), credentials);

            // Retrieve a reference to a container. (You need to create one using the mangement portal, or call container.CreateIfNotExists())
            var container = client.GetContainerReference(blobStorageName);

            // Retrieve reference to a blob named "myfile.gif".
            var blockBlob = container.GetBlockBlobReference(UserID + "_" + UploadDateTime + "_" + file.FileName);

            // Create or overwrite the "myblob" blob with contents from a local file.
            using (var fileStream = System.IO.File.OpenRead(path))
            {
                blockBlob.UploadFromStream(fileStream);
            }

            System.IO.File.Delete(path);

            return blockBlob;
        }
        catch (Exception e)
        {
            var r = e.Message;
            return null;
        }
    }

我希望我能提供过多的信息,但是我不知道该如何解释我所寻找的东西.如果我没有道理,请告诉我,以便我解决问题.

I hope I havnt given too much information, but I dont know how else to explain what I am looking for. If I am not making sense, please let me know so that I can fix my question.

我不是在寻找讲义代码,只是在寻找正确的方向.

I am not looking for handout code, just looking for a shove in the right direction.

我将不胜感激.

谢谢!

推荐答案

我们可以使用Azure搜索通过Azure搜索为文档编制索引.NET SDK . 根据您的描述,我使用.NET SDK创建了一个演示并成功对其进行了测试.以下是我的详细步骤:

We can use Azure Search to index document by Azure Search REST API and .NET SDK. According to your description, I create a demo with .NET SDK and test it successfully. The following is my details steps:

  1. 从Azure门户创建Azure搜索

  1. 从Azure门户获取搜索键

  1. 创建自定义索引字段模型

  1. Create custom index field model

[SerializePropertyNamesAsCamelCase] public class TomTestModel { [Key] [IsFilterable] public string fileId { get; set; } [IsSearchable] public string fileText { get; set; } public string blobURL { get; set; } [IsSearchable] public string keyPhrases { get; set; } }

[SerializePropertyNamesAsCamelCase] public class TomTestModel { [Key] [IsFilterable] public string fileId { get; set; } [IsSearchable] public string fileText { get; set; } public string blobURL { get; set; } [IsSearchable] public string keyPhrases { get; set; } }

4.创建数据源

       string searchServiceName = ConfigurationManager.AppSettings["SearchServiceName"];
       string adminApiKey = ConfigurationManager.AppSettings["SearchServiceAdminApiKey"];
       SearchServiceClient serviceClient = new SearchServiceClient(searchServiceName, new SearchCredentials(adminApiKey));

       var dataSource = DataSource.AzureBlobStorage("storage name", "connectstrong", "container name");
        //create data source
        if (serviceClient.DataSources.Exists(dataSource.Name))
        {
            serviceClient.DataSources.Delete(dataSource.Name);
        }
        serviceClient.DataSources.Create(dataSource);

  1. 创建自定义索引

var definition = new Index() { Name = "tomcustomindex", Fields = FieldBuilder.BuildForType<TomTestModel>() }; //create Index if (serviceClient.Indexes.Exists(definition.Name)) { serviceClient.Indexes.Delete(definition.Name); } var index = serviceClient.Indexes.Create(definition);

var definition = new Index() { Name = "tomcustomindex", Fields = FieldBuilder.BuildForType<TomTestModel>() }; //create Index if (serviceClient.Indexes.Exists(definition.Name)) { serviceClient.Indexes.Delete(definition.Name); } var index = serviceClient.Indexes.Create(definition);

  1. 将文档上传到索引,有关使用SDK进行操作存储的更多信息,请参考

  2. 从搜索浏览中检查搜索结果.

  3. Check the search result from the search explore.

    Page.config文件:

    Page.config file:

    <?xml version="1.0" encoding="utf-8"?>
    <packages>
      <package id="Microsoft.Azure.KeyVault.Core" version="1.0.0" targetFramework="net452" />
      <package id="Microsoft.Azure.Search" version="3.0.0-rc" targetFramework="net452" />
      <package id="Microsoft.Data.Edm" version="5.6.4" targetFramework="net452" />
      <package id="Microsoft.Data.OData" version="5.6.4" targetFramework="net452" />
      <package id="Microsoft.Data.Services.Client" version="5.6.4" targetFramework="net452" />
      <package id="Microsoft.Rest.ClientRuntime" version="2.3.4" targetFramework="net452" />
      <package id="Microsoft.Rest.ClientRuntime.Azure" version="3.3.4" targetFramework="net452" />
      <package id="Microsoft.Spatial" version="6.15.0" targetFramework="net452" />
      <package id="Newtonsoft.Json" version="7.0.1" targetFramework="net452" />
      <package id="System.Spatial" version="5.6.4" targetFramework="net452" />
      <package id="WindowsAzure.Storage" version="7.2.1" targetFramework="net452" />
    </packages>
    

    TomTestModel文件:

    TomTestModel file:

    using System.ComponentModel.DataAnnotations;
    using Microsoft.Azure.Search;
    using Microsoft.Azure.Search.Models;
    
    namespace TomAzureSearchTest
    {
        [SerializePropertyNamesAsCamelCase]
        public class TomTestModel
        {
            [Key]
            [IsFilterable]
            public string fileId { get; set; }
            [IsSearchable]
            public string fileText { get; set; }
            public string blobURL { get; set; }
            [IsSearchable]
            public string keyPhrases { get; set; }
        }
    }
    

    这篇关于Azure BlobStorage Blob索引的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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