AWS SDK for C# With Wasabi

How do I use AWS SDK for C# with Wasabi?

AWS SDK for .NET is a framework used for C# coding and is validated for use with Wasabi. This framework can be used with Wasabi by simply pointing the endpoint to the Wasabi service URL. To use the C#/.NET SDK with Wasabi:

1. Download JetBrains Rider IDE (you may use any IDE as per your requirements). In this example, we will be using NuGet packages.

2. Create a project in JetBrains. Navigate to NuGet to download and install the required AWS SDK packages.

   

3. Type “AWS” in the search bar to see a list of all AWS SDKs. For our use case with Wasabi S3, install the following packages:

   • AWSSDK.Core

   • AWSSDK.S3

   

4. Configure an additional AWS CLI profile for Wasabi account using the Wasabi keys.

   It is optional for you to use credential files to run your code; however it is always a best practice to use such implementation wherein your credential keys are in a file stored on your local machine rather than part of your actual code.

   In this example, we set the profile name as "sahanip" in the "~/.aws/credentials" file.

   Below is sample code to upload objects to Wasabi.

   This example discusses the use of Wasabi's us-east-1 storage region. To use other Wasabi storage regions, use the appropriate Wasabi service URL as described in Service URLs for Wasabi's Storage Regions.

   
   using System;
   using System.Threading.Tasks;
   using Amazon.Runtime;
   using Amazon.S3;
   using Amazon.S3.Model;
   
   namespace UploadToAWS
   {
   static class UploadObject
   {
   private static IAmazonS3 _s3Client;
   
   private const string BucketName = "download-versions-bucket";
   
   private const string ObjectName1 = "new-test-file.txt";
   
   // updated it to take any object from desktop, just adjust the file name above
   private static readonly string PathToDesktop = Environment.GetFolderPath(Environment.SpecialFolder.Desktop);
   
   static async Task Main()
   {
   // 1. this is necessary for the endpoint
   var config = new AmazonS3Config {ServiceURL = "https://s3.wasabisys.com"};
   
   // this will allow you to call whatever profile you have
   var credentials = new StoredProfileAWSCredentials("sahanip");
   
   // create s3 connection with credential files and config.
   _s3Client = new AmazonS3Client(credentials, config);
   
   // The method expects the full path, including the file name.
   var path = $"{PathToDesktop}/{ObjectName1}";
   
   await UploadObjectFromFileAsync(_s3Client, BucketName, ObjectName1, path);
   }
   
   
   private static async Task UploadObjectFromFileAsync(
   IAmazonS3 client,
   string bucketName,
   string objectName,
   string filePath)
   {
   try
   {
   var putRequest = new PutObjectRequest
   {
   BucketName = bucketName,
   Key = objectName,
   FilePath = filePath
   };
   putRequest.Metadata.Add("x-amz-meta-title", "someTitle");
   await client.PutObjectAsync(putRequest);
   }
   catch (AmazonS3Exception e)
   {
   Console.WriteLine($"Error: {e.Message}");
   }
   }
   }
   }

   Be sure to use your own BucketName and Profile Name.

5. Build and run your code in JetBrains. The exit code 0 indicates that everything ran successfully.

   

   You can now see the object in your bucket.

   

The following is a download objects script example for this document.