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Azure Blob storage is Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data, such as text or binary data.

Blob storage is ideal for:

• Serving images or documents directly to a browser
• Storing files for distributed access
• Streaming video and audio
• Storing data for backup and restore, disaster recovery, and archiving
• Storing data for analysis by an on-premises or Azure-hosted service

Source code | Package (PyPI) | API reference documentation | Product documentation | Samples

Getting started

Prerequisites

• Python 2.7, or 3.5 or later is required to use this package.
• You must have an Azure subscription and anAzure storage account to use this package.

Install the package

Install the Azure Storage Blobs client library for Python with pip:

Create a storage account

If you wish to create a new storage account, you can use theAzure Portal,Azure PowerShell,or Azure CLI:

Create the client

The Azure Storage Blobs client library for Python allows you to interact with three types of resources: the storageaccount itself, blob storage containers, and blobs. Interaction with these resources starts with an instance of aclient. To create a client object, you will need the storage account's blob service account URL and acredential that allows you to access the storage account:

Looking up the account URL

You can find the storage account's blob service URL using theAzure Portal,Azure PowerShell,or Azure CLI:

Types of credentials

The credential parameter may be provided in a number of different forms, depending on the type ofauthorization you wish to use:

1. To use an Azure Active Directory (AAD) token credential,provide an instance of the desired credential type obtained from theazure-identity library.For example, DefaultAzureCredentialcan be used to authenticate the client.

   This requires some initial setup:

   • Register a new AAD application and give permissions to access Azure Storage
   • Grant access to Azure Blob data with RBAC in the Azure Portal
   • Set the values of the client ID, tenant ID, and client secret of the AAD application as environment variables:AZURE_TENANT_ID, AZURE_CLIENT_ID, AZURE_CLIENT_SECRET

   Use the returned token credential to authenticate the client:

2. To use a shared access signature (SAS) token,provide the token as a string. If your account URL includes the SAS token, omit the credential parameter.You can generate a SAS token from the Azure Portal under 'Shared access signature' or use one of the generate_sas()functions to create a sas token for the storage account, container, or blob:

3. To use a storage account shared key(aka account key or access key), provide the key as a string. This can be found in the Azure Portal under the 'Access Keys'section or by running the following Azure CLI command:

   az storage account keys list -g MyResourceGroup -n MyStorageAccount

   Use the key as the credential parameter to authenticate the client:

4. To use anonymous public read access,simply omit the credential parameter.

Creating the client from a connection string

Depending on your use case and authorization method, you may prefer to initialize a client instance with a storageconnection string instead of providing the account URL and credential separately. To do this, pass the storageconnection string to the client's from_connection_string class method:

The connection string to your storage account can be found in the Azure Portal under the 'Access Keys' section or by running the following CLI command:

Key concepts

The following components make up the Azure Blob Service:

• The storage account itself
• A container within the storage account
• A blob within a container

The Azure Storage Blobs client library for Python allows you to interact with each of these components through theuse of a dedicated client object.

Clients

Four different clients are provided to to interact with the various components of the Blob Service:

1. BlobServiceClient -this client represents interaction with the Azure storage account itself, and allows you to acquire preconfiguredclient instances to access the containers and blobs within. It provides operations to retrieve and configure theaccount properties as well as list, create, and delete containers within the account. To perform operations on aspecific container or blob, retrieve a client using the get_container_client or get_blob_client methods.
2. ContainerClient -this client represents interaction with a specific container (which need not exist yet), and allows you to acquirepreconfigured client instances to access the blobs within. It provides operations to create, delete, or configure acontainer and includes operations to list, upload, and delete the blobs within it. To perform operations on aspecific blob within the container, retrieve a client using the get_blob_client method.
3. BlobClient -this client represents interaction with a specific blob (which need not exist yet). It provides operations toupload, download, delete, and create snapshots of a blob, as well as specific operations per blob type.
4. BlobLeaseClient -this client represents lease interactions with a ContainerClient or BlobClient. It provides operations toacquire, renew, release, change, and break a lease on a specified resource.

Blob Types

Once you've initialized a Client, you can choose from the different types of blobs:

• Block blobsstore text and binary data, up to approximately 4.75 TiB. Block blobs are made up of blocks of data that can bemanaged individually
• Append blobsare made up of blocks like block blobs, but are optimized for append operations. Append blobs are ideal for scenariossuch as logging data from virtual machines
• Page blobsstore random access files up to 8 TiB in size. Page blobs store virtual hard drive (VHD) files and serve as disks forAzure virtual machines

Examples

The following sections provide several code snippets covering some of the most common Storage Blob tasks, including:

Note that a container must be created before to upload or download a blob.

Create a container

Create a container from where you can upload or download blobs.

Use the async client to upload a blob

Uploading a blob

Upload a blob to your container

Use the async client to upload a blob

Downloading a blob

Download a blob from your container

Download a blob asynchronously

Enumerating blobs

List the blobs in your container

List the blobs asynchronously

Optional Configuration

Optional keyword arguments that can be passed in at the client and per-operation level.

Retry Policy configuration

Use the following keyword arguments when instantiating a client to configure the retry policy:

• retry_total (int): Total number of retries to allow. Takes precedence over other counts.Pass in retry_total=0 if you do not want to retry on requests. Defaults to 10.
• retry_connect (int): How many connection-related errors to retry on. Defaults to 3.
• retry_read (int): How many times to retry on read errors. Defaults to 3.
• retry_status (int): How many times to retry on bad status codes. Defaults to 3.
• retry_to_secondary (bool): Whether the request should be retried to secondary, if able.This should only be enabled of RA-GRS accounts are used and potentially stale data can be handled.Defaults to False.

Encryption configuration

Use the following keyword arguments when instantiating a client to configure encryption:

• require_encryption (bool): If set to True, will enforce that objects are encrypted and decrypt them.
• key_encryption_key (object): The user-provided key-encryption-key. The instance must implement the following methods:
  • wrap_key(key)--wraps the specified key using an algorithm of the user's choice.
  • get_key_wrap_algorithm()--returns the algorithm used to wrap the specified symmetric key.
  • get_kid()--returns a string key id for this key-encryption-key.
• key_resolver_function (callable): The user-provided key resolver. Uses the kid string to return a key-encryption-keyimplementing the interface defined above.

Other client / per-operation configuration

Other optional configuration keyword arguments that can be specified on the client or per-operation.

Client keyword arguments:

• connection_timeout (int): Optionally sets the connect and read timeout value, in seconds.
• transport (Any): User-provided transport to send the HTTP request.

Per-operation keyword arguments:

• raw_response_hook (callable): The given callback uses the response returned from the service.
• raw_request_hook (callable): The given callback uses the request before being sent to service.
• client_request_id (str): Optional user specified identification of the request.
• user_agent (str): Appends the custom value to the user-agent header to be sent with the request.
• logging_enable (bool): Enables logging at the DEBUG level. Defaults to False. Can also be passed in atthe client level to enable it for all requests.
• headers (dict): Pass in custom headers as key, value pairs. E.g. headers={'CustomValue': value}

Troubleshooting

General

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Storage Blob clients raise exceptions defined in Azure Core.All Blob service operations will throw a StorageErrorException on failure with helpful error codes.

Logging

This library uses the standardlogging library for logging.Basic information about HTTP sessions (URLs, headers, etc.) is logged at INFOlevel.

Detailed DEBUG level logging, including request/response bodies and unredactedheaders, can be enabled on a client with the logging_enable argument:

Similarly, logging_enable can enable detailed logging for a single operation,even when it isn't enabled for the client:

Next steps

More sample code

Get started with our Blob samples.

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Several Storage Blobs Python SDK samples are available to you in the SDK's GitHub repository. These samples provide example code for additional scenarios commonly encountered while working with Storage Blobs:

• blob_samples_container_access_policy.py (async version) - Examples to set Access policies:

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  • Set up Access Policy for container

• blob_samples_hello_world.py (async version) - Examples for common Storage Blob tasks:

  • Set up a container
  • Create a block, page, or append blob
  • Upload blobs
  • Download blobs
  • Delete blobs

• blob_samples_authentication.py (async version) - Examples for authenticating and creating the client:

  • From a connection string
  • From a shared access key
  • From a shared access signature token
  • From active directory

• blob_samples_service.py (async version) - Examples for interacting with the blob service:

  • Get account information
  • Get and set service properties
  • Get service statistics
  • Create, list, and delete containers
  • Get the Blob or Container client

• blob_samples_containers.py (async version) - Examples for interacting with containers:

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  • Create a container and delete containers
  • Set metadata on containers
  • Get container properties
  • Acquire a lease on container
  • Set an access policy on a container
  • Upload, list, delete blobs in container
  • Get the blob client to interact with a specific blob

• blob_samples_common.py (async version) - Examples common to all types of blobs:

  • Create a snapshot
  • Delete a blob snapshot
  • Soft delete a blob
  • Undelete a blob
  • Acquire a lease on a blob
  • Copy a blob from a URL

• blob_samples_directory_interface.py - Examples for interfacing with Blob storage as if it were a directory on a filesystem:

  • Copy (upload or download) a single file or directory
  • List files or directories at a single level or recursively
  • Delete a single file or recursively delete a directory

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Additional documentation

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For more extensive documentation on Azure Blob storage, see the Azure Blob storage documentation on docs.microsoft.com.