Upload a blob with .NET

• .NET
• Java
• JavaScript
• Python
• Go

This article shows how to upload a blob using the Azure Storage client library for .NET. You can upload data to a block blob from a file path, a stream, a binary object, or a text string. You can also open a blob stream and write to it, or upload large blobs in blocks.

Prerequisites

• Azure subscription - create one for free
• Azure storage account - create a storage account
• Latest .NET SDK for your operating system. Be sure to get the SDK and not the runtime.

Set up your environment

If you don't have an existing project, this section shows you how to set up a project to work with the Azure Blob Storage client library for .NET. The steps include package installation, adding using directives, and creating an authorized client object. For details, see Get started with Azure Blob Storage and .NET.

Install packages

From your project directory, install packages for the Azure Blob Storage and Azure Identity client libraries using the dotnet add package command. The Azure.Identity package is needed for passwordless connections to Azure services.

dotnet add package Azure.Storage.Blobs
dotnet add package Azure.Identity

Add using directives

Add these using directives to the top of your code file:

using Azure.Identity;
using Azure.Storage.Blobs;
using Azure.Storage.Blobs.Models;
using Azure.Storage.Blobs.Specialized;

Some code examples in this article might require additional using directives.

Create a client object

To connect an app to Blob Storage, create an instance of BlobServiceClient. The following example shows how to create a client object using DefaultAzureCredential for authorization:

public BlobServiceClient GetBlobServiceClient(string accountName)
{
    BlobServiceClient client = new(
        new Uri($"https://{accountName}.blob.core.windows.net"),
        new DefaultAzureCredential());

    return client;
}

You can register a service client for dependency injection in a .NET app.

You can also create client objects for specific containers or blobs. To learn more about creating and managing client objects, see Create and manage client objects that interact with data resources.

Authorization

The authorization mechanism must have the necessary permissions to upload a blob. For authorization with Microsoft Entra ID (recommended), you need Azure RBAC built-in role Storage Blob Data Contributor or higher. To learn more, see the authorization guidance for Put Blob (REST API) and Put Block (REST API).

Upload data to a block blob

You can use either of the following methods to upload data to a block blob:

• Upload
• UploadAsync

When using these upload methods, the client library may call either Put Blob or a series of Put Block calls followed by Put Block List. This behavior depends on the overall size of the object and how the data transfer options are set.

To open a stream in Blob Storage and write to that stream, use either of the following methods:

• OpenWrite
• OpenWriteAsync

Upload a block blob from a local file path

The following example uploads a block blob from a local file path:

public static async Task UploadFromFileAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlobClient blobClient = containerClient.GetBlobClient(fileName);

    await blobClient.UploadAsync(localFilePath, true);
}

Upload a block blob from a stream

The following example uploads a block blob by creating a Stream object and uploading the stream.

public static async Task UploadFromStreamAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlobClient blobClient = containerClient.GetBlobClient(fileName);

    FileStream fileStream = File.OpenRead(localFilePath);
    await blobClient.UploadAsync(fileStream, true);
    fileStream.Close();
}

Upload a block blob from a BinaryData object

The following example uploads a block blob from a BinaryData object.

public static async Task UploadFromBinaryDataAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlobClient blobClient = containerClient.GetBlobClient(fileName);

    FileStream fileStream = File.OpenRead(localFilePath);
    BinaryReader reader = new BinaryReader(fileStream);

    byte[] buffer = new byte[fileStream.Length];
    reader.Read(buffer, 0, buffer.Length);
    BinaryData binaryData = new BinaryData(buffer);

    await blobClient.UploadAsync(binaryData, true);

    fileStream.Close();
}

Upload a block blob from a string

The following example uploads a block blob from a string:

public static async Task UploadFromStringAsync(
    BlobContainerClient containerClient,
    string blobName)
{
    BlobClient blobClient = containerClient.GetBlobClient(blobName);
    string blobContents = "Sample blob data";

    await blobClient.UploadAsync(BinaryData.FromString(blobContents), overwrite: true);
}

Upload to a stream in Blob Storage

You can open a stream in Blob Storage and write to it. The following example creates a zip file in Blob Storage and writes files to it. Instead of building a zip file in local memory, only one file at a time is in memory.

public static async Task UploadToStreamAsync(
    BlobContainerClient containerClient,
    string localDirectoryPath)
{
    string zipFileName = Path.GetFileName(
        Path.GetDirectoryName(localDirectoryPath)) + ".zip";

    BlockBlobClient blockBlobClient = containerClient.GetBlockBlobClient(zipFileName);

    using (Stream stream = await blockBlobClient.OpenWriteAsync(true))
    {
        using (ZipArchive zip = new ZipArchive(stream, ZipArchiveMode.Create, leaveOpen: false))
        {
            foreach (var fileName in Directory.EnumerateFiles(localDirectoryPath))
            {
                using (var fileStream = File.OpenRead(fileName))
                {
                    var entry = zip.CreateEntry(
                        Path.GetFileName(fileName), CompressionLevel.Optimal);
                    using (var innerFile = entry.Open())
                    {
                        await fileStream.CopyToAsync(innerFile);
                    }
                }
            }
        }
    }
}

Upload a block blob with configuration options

You can define client library configuration options when uploading a blob. These options can be tuned to improve performance, enhance reliability, and optimize costs. The following code examples show how to use BlobUploadOptions to define configuration options when calling an upload method.

Specify data transfer options on upload

You can configure the values in StorageTransferOptions to improve performance for data transfer operations. The following code example shows how to set values for StorageTransferOptions and include the options as part of a BlobUploadOptions instance. The values provided in this sample aren't intended to be a recommendation. To properly tune these values, you need to consider the specific needs of your app.

public static async Task UploadWithTransferOptionsAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlobClient blobClient = containerClient.GetBlobClient(fileName);

    var transferOptions = new StorageTransferOptions
    {
        // Set the maximum number of parallel transfer workers
        MaximumConcurrency = 2,

        // Set the initial transfer length to 8 MiB
        InitialTransferSize = 8 * 1024 * 1024,

        // Set the maximum length of a transfer to 4 MiB
        MaximumTransferSize = 4 * 1024 * 1024
    };

    var uploadOptions = new BlobUploadOptions()
    {
        TransferOptions = transferOptions
    };

    FileStream fileStream = File.OpenRead(localFilePath);
    await blobClient.UploadAsync(fileStream, uploadOptions);
    fileStream.Close();
}

To learn more about tuning data transfer options, see Performance tuning for uploads and downloads with .NET.

Specify transfer validation options on upload

You can specify transfer validation options to help ensure that data is uploaded properly and hasn't been tampered with during transit. Transfer validation options can be defined at the client level using BlobClientOptions, which applies validation options to all methods called from a BlobClient instance.

You can also override transfer validation options at the method level using BlobUploadOptions. The following code example shows how to create a BlobUploadOptions object and specify an algorithm for generating a checksum. The checksum is then used by the service to verify data integrity of the uploaded content.

public static async Task UploadWithChecksumAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlobClient blobClient = containerClient.GetBlobClient(fileName);

    var validationOptions = new UploadTransferValidationOptions
    {
        ChecksumAlgorithm = StorageChecksumAlgorithm.Auto
    };

    var uploadOptions = new BlobUploadOptions()
    {
        TransferValidation = validationOptions
    };

    FileStream fileStream = File.OpenRead(localFilePath);
    await blobClient.UploadAsync(fileStream, uploadOptions);
    fileStream.Close();
}

The following table shows the available options for the checksum algorithm, as defined by StorageChecksumAlgorithm:

Name	Value	Description
Auto	0	Recommended. Allows the library to choose an algorithm. Different library versions may choose different algorithms.
None	1	No selected algorithm. Don't calculate or request checksums.
MD5	2	Standard MD5 hash algorithm.
StorageCrc64	3	Azure Storage custom 64-bit CRC.

Note

If the checksum specified in the request doesn't match the checksum calculated by the service, the upload operation fails. The operation is not retried when using a default retry policy. In .NET, a RequestFailedException is thrown with status code 400 and error code Md5Mismatch or Crc64Mismatch, depending on which algorithm is used.

Upload with index tags

Blob index tags categorize data in your storage account using key-value tag attributes. These tags are automatically indexed and exposed as a searchable multi-dimensional index to easily find data. You can add tags to a BlobUploadOptions instance, and pass that instance into the UploadAsync method.

The following example uploads a block blob with index tags:

public static async Task UploadBlobWithTagsAsync(
    BlobContainerClient containerClient,
    string blobName)
{
    BlobClient blobClient = containerClient.GetBlobClient(blobName);
    string blobContents = "Sample blob data";

    BlobUploadOptions options = new BlobUploadOptions();
    options.Tags = new Dictionary<string, string>
    {
        { "Sealed", "false" },
        { "Content", "image" },
        { "Date", "2020-04-20" }
    };

    await blobClient.UploadAsync(BinaryData.FromString(blobContents), options);
}

Set a blob's access tier on upload

You can set a blob's access tier on upload by using the BlobUploadOptions class. The following code example shows how to set the access tier when uploading a blob:

public static async Task UploadWithAccessTierAsync(
    BlobContainerClient containerClient,
    string localFilePath)
{
    string fileName = Path.GetFileName(localFilePath);
    BlockBlobClient blockBlobClient = containerClient.GetBlockBlobClient(fileName);

    var uploadOptions = new BlobUploadOptions()
    {
        AccessTier = AccessTier.Cool
    };

    FileStream fileStream = File.OpenRead(localFilePath);
    await blockBlobClient.UploadAsync(fileStream, uploadOptions);
    fileStream.Close();
}

Setting the access tier is only allowed for block blobs. You can set the access tier for a block blob to Hot, Cool, Cold, or Archive. To set the access tier to Cold, you must use a minimum client library version of 12.15.0.

To learn more about access tiers, see Access tiers overview.

Upload a block blob by staging blocks and committing

You can have greater control over how to divide uploads into blocks by manually staging individual blocks of data. When all of the blocks that make up a blob are staged, you can commit them to Blob Storage. You can use this approach to enhance performance by uploading blocks in parallel.

public static async Task UploadBlocksAsync(
    BlobContainerClient blobContainerClient,
    string localFilePath,
    int blockSize)
{
    string fileName = Path.GetFileName(localFilePath);
    BlockBlobClient blobClient = blobContainerClient.GetBlockBlobClient(fileName);

    FileStream fileStream = File.OpenRead(localFilePath);
    ArrayList blockIDArrayList = new ArrayList();
    byte[] buffer;

    var bytesLeft = (fileStream.Length - fileStream.Position);

    while (bytesLeft > 0)
    {
        if (bytesLeft >= blockSize)
        {
            buffer = new byte[blockSize];
            await fileStream.ReadAsync(buffer, 0, blockSize);
        }
        else
        {
            buffer = new byte[bytesLeft];
            await fileStream.ReadAsync(buffer, 0, Convert.ToInt32(bytesLeft));
            bytesLeft = (fileStream.Length - fileStream.Position);
        }

        using (var stream = new MemoryStream(buffer))
        {
            string blockID = Convert.ToBase64String(
                Encoding.UTF8.GetBytes(Guid.NewGuid().ToString()));

            blockIDArrayList.Add(blockID);
            await blobClient.StageBlockAsync(blockID, stream);
        }
        bytesLeft = (fileStream.Length - fileStream.Position);
    }

    string[] blockIDArray = (string[])blockIDArrayList.ToArray(typeof(string));

    await blobClient.CommitBlockListAsync(blockIDArray);
}

Resources

To learn more about uploading blobs using the Azure Blob Storage client library for .NET, see the following resources.

Code samples

• View code samples from this article (GitHub)

REST API operations

The Azure SDK for .NET contains libraries that build on top of the Azure REST API, allowing you to interact with REST API operations through familiar .NET paradigms. The client library methods for uploading blobs use the following REST API operations:

• Put Blob (REST API)
• Put Block (REST API)

See also

• Performance tuning for uploads and downloads.
• Manage and find Azure Blob data with blob index tags
• Use blob index tags to manage and find data on Azure Blob Storage

Related content

• This article is part of the Blob Storage developer guide for .NET. To learn more, see the full list of developer guide articles at Build your .NET app.