Create Blobs in Azure Storage

This document guides you through the process of creating blobs in Azure Storage using various methods, including the Azure portal, Azure CLI, and client libraries.

Overview

Azure Blob Storage is a service that stores unstructured data such as text or binary data. Blobs can be any type of text or binary data, such as images, documents, or streaming media. A blob can be any type of text or binary file. Blob storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that doesn't adhere to a particular data model or definition, such as text or binary data.

There are three types of blobs:

Prerequisites

Before you begin, ensure you have the following:

Methods for Creating Blobs

1. Using the Azure Portal

The Azure portal provides a user-friendly interface for managing your storage accounts and creating blobs.

  1. Navigate to your storage account in the Azure portal.
  2. Under Data storage, select Containers.
  3. Click + Container.
  4. Enter a name for your container (must be lowercase letters and numbers).
  5. Choose a public access level (e.g., Private, Blob, Container). For this example, we'll use Private.
  6. Click Create.
  7. Once the container is created, navigate into it.
  8. Click Upload.
  9. Select the file(s) you want to upload.
  10. Click Upload.
Note: The Azure portal is suitable for manual uploads of individual files or small batches. For programmatic or large-scale uploads, consider using Azure CLI or client libraries.

2. Using Azure CLI

Azure CLI provides a powerful command-line interface for interacting with Azure resources.

First, ensure you have the Azure CLI installed and logged in. If not, you can install it from here and log in using az login.

Create a container


az storage container create \
    --name mycontainer \
    --account-name mystorageaccount \
    --auth-mode login
                    

Upload a blob


az storage blob upload \
    --account-name mystorageaccount \
    --container-name mycontainer \
    --name myblob.txt \
    --file mylocalfile.txt \
    --auth-mode login
                    

Replace mystorageaccount, mycontainer, myblob.txt, and mylocalfile.txt with your actual values.

For more details on Azure CLI commands for Blob Storage, refer to the official documentation.

3. Using Client Libraries

Azure provides SDKs for various programming languages to interact with Blob Storage programmatically.

Example: Python

Install the Azure Blob Storage SDK for Python:


pip install azure-storage-blob
            

Here's a Python snippet to create a blob:


from azure.storage.blob import BlobServiceClient, BlobClient, ContainerClient

# Replace with your connection string
connect_str = "YOUR_AZURE_STORAGE_CONNECTION_STRING"
container_name = "my-python-container"
blob_name = "my-python-blob.txt"
local_file_name = "my-local-data.txt"

# Create the BlobServiceClient object
blob_service_client = BlobServiceClient.from_connection_string(connect_str)

try:
    # Create the container if it doesn't exist
    container_client = blob_service_client.get_container_client(container_name)
    container_client.create_container()
    print(f"Container '{container_name}' created.")
except Exception as e:
    print(f"Container '{container_name}' may already exist or an error occurred: {e}")

# Create a blob client
blob_client = blob_service_client.get_blob_client(container=container_name, blob=blob_name)

print(f"Uploading to blob storage as '{blob_name}'")
# Open the local file and upload it
with open(local_file_name, "rb") as data:
    blob_client.upload_blob(data)
print(f"File '{local_file_name}' uploaded to '{blob_name}'.")
            

Make sure to replace YOUR_AZURE_STORAGE_CONNECTION_STRING, my-python-container, my-python-blob.txt, and my-local-data.txt with your specific details. You can find your connection string in the Azure portal under your storage account's "Access keys".

For other languages like Node.js, Java, or .NET, please refer to the Azure Blob Storage documentation for specific SDK examples.

Next Steps

Once your blobs are created, you can perform various operations such as:

Explore more advanced features like managing blob metadata, using snapshots, and access control.