Restoring Soft-Deleted Blobs with multithreading in Azure Storage Using C#
Blob soft delete is an essential feature that safeguards your data against accidental deletions or overwrites. By retaining deleted data for a specified period, it ensures data integrity and availability, even in the event of human error. However, restoring data in the soft delete state can be more labor-intensive, as the undelete API must be called for each individual deleted blob. Currently, there is no option to bulk undelete all blobs.
In this blog, we provide a sample C# code that will help you restore soft-deleted data efficiently. The code leverages multiple threads to expedite the restoration process, making it particularly effective if you have a large number of blobs to restore. Additionally, this program can be configured to undelete blobs within a specific container or directory, rather than scanning the entire storage account.
To run this program, follow these steps:
- Install .NET SDK: Ensure you have the .NET SDK installed on your machine.
- Connect to Azure Account:
- Add NuGet Source:
- Create a New Console Application:
- Add the following code to Program.cs.
Replace xxxx with your specific storage account and container name. If you need to restore a particular directory, provide the directory name; otherwise, leave it empty to scan the entire container. The code is configured to run with 500 threads by default, but you can adjust this number according to your needs.
- Add Required Packages:
- Build the Project:
- Run the Program:
Once the application is running, you can monitor the console window to track its progress and identify any potential issues or failures.
Published on:
Learn moreRelated posts
Enterprise Live Migrations: Moving from Azure DevOps Repo to GitHub with minimal disruption
Over the last several years, we’ve encouraged customers to move their repositories from Azure Repos to GitHub to take advantage of the latest ...
Introducing Azure HorizonDB - PostgreSQL
Run enterprise Postgres workloads on Azure HorizonDB with around 3x the throughput of self-managed deployments — zone-resilient by default, no...
Azure DevOps and GitHub: Journeying into the AI Era
AI is changing how software gets planned, built, and reviewed. As teams adopt agentic development, the platform underneath those workflows mat...
Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions ne...
Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it m...