📜  Microsoft Azure-Blobs(1)

📅  最后修改于: 2023-12-03 15:17:38.548000             🧑  作者: Mango

Microsoft Azure Blobs

Microsoft Azure Blob storage is a cloud service that provides massively scalable object storage for unstructured data. Blob storage is optimized for storing large 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.
  • Writing to log files.
  • Storing data for backup and restore, disaster recovery, and archiving.
Features
  • Massive scale: Store and manage petabytes of data.
  • Global availability: Azure provides the ability to store data in any of our more than 50 Azure regions.
  • Durability: With built-in redundancy and async geo replication, your data can survive any number of failures without any manual intervention.
  • Security: Blob storage provides encryption at rest and in transit, as well as role-based access control (RBAC) and Azure Active Directory integration.
  • Easily accessible: Blob storage can be accessed from anywhere in the world using HTTP or HTTPS.
  • Economical: Pay only for what you use, with no upfront costs or termination fees.
Blob Types

Azure Blob storage supports three types of blobs:

Block Blobs

Block blobs are designed to store text and binary data as blobs up to 4.75 TB in size. Block blobs are made up of blocks of data that can be managed individually. Once all the blocks are uploaded, you can commit the blocks to make them available for reading.

Page Blobs

Page blobs provide the ability to read and write random data to a specific byte range in the storage account. Page blobs are ideal for virtual machine (VM) disks and for other file-systems that require random writes and low-latency data access.

Append Blobs

Append blobs are designed for append-only scenarios, such as logging. Append blobs can be up to 195 GB in size, and you can append data to an append blob at any time.

Example: Uploading a Block Blob

To upload a block blob to Azure Blob storage, you can use the Azure Blob storage client library for Python. Here is an example:

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

connection_string = "<your_connection_string>"
container_name = "<your_container_name>"
blob_name = "<your_blob_name>"
file_path = "<your_file_path>"

blob_service_client = BlobServiceClient.from_connection_string(connection_string)
container_client = blob_service_client.get_container_client(container_name)
blob_client = container_client.get_blob_client(blob_name)

with open(file_path, "rb") as f:
    blob_client.upload_blob(f)

This code will upload the file at file_path to a block blob at the specified blob_name. Note that you must have a valid connection string and container name for this code to work.

Conclusion

Azure Blob storage is a powerful tool for storing and managing unstructured data in the cloud. With its global availability, durability, security, accessibiliy, and economical pricing, Blob storage is an excellent choice for many scenarios. Whether you need to store images, documents, video, audio, log files, or backup data, Azure Blob storage is up to the task.