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To maintain an efficient and optimized source control system, it is essential to periodically purge unnecessary data. By removing unnecessary data from your source control, you can improve system performance, reduce storage requirements, and enhance overall productivity. In the context of designing and implementing Microsoft DevOps solutions, purging data from source control forms a crucial part of managing your development environment. In this article, we will explore various techniques and tools provided by Microsoft to purge data from source control.

1. Prerequisite Checks

Before purging data, it is crucial to perform prerequisite checks to ensure that the purge operation doesn’t affect your ongoing development processes. These checks involve communicating with the development team, implementing an appropriate data backup strategy, and verifying that all essential data has been replicated to other repositories or backups.

2. Use the Azure DevOps REST API

Azure DevOps provides a REST API that allows you to automate various operations, including purging data from source control. The REST API endpoints related to source control allow you to delete specific files, folders, or branches. Here’s an example using the Azure DevOps REST API to delete a file:

DELETE https://dev.azure.com/{organization}/{project}/_apis/git/repositories/{repositoryId}/items?api-version=6.0

This API call deletes a specific file from the repository. You can modify the endpoint to delete folders or branches as well.

3. Git Garbage Collection

Git, the distributed version control system used by Azure DevOps, periodically performs garbage collection to remove unreferenced objects from the repository. Garbage collection helps optimize storage and improve performance. However, you can also manually trigger a garbage collection using the following command:

git gc

Executing this command in the Git repository directory within your local development environment initiates the garbage collection process. It is recommended to perform this operation during non-production hours to minimize disruption.

4. Git History Compression

Azure DevOps provides a feature to compress Git history, thereby reducing storage requirements. Compressing Git history limits the size of commit metadata and increases efficiency. To enable Git history compression in Azure DevOps, you can follow these steps:

  • Navigate to your Azure DevOps repository settings.
  • Under the “General” section, locate the “Git Repository Configuration” option.
  • In the “Git Repository Configuration,” enable the checkbox for “Compress Git History.”

Enabling this feature compresses the Git history, optimizing storage and improving performance.

5. Delete Unnecessary Branches

Over time, development branches may become obsolete and accumulate in your source control system. Removing these unnecessary branches can free up storage and reduce clutter. You can delete branches using both Git commands and Azure DevOps web interfaces.

To delete branches locally using Git, execute the following command:

git branch -d branch-name

To delete branches in Azure DevOps, follow these steps:

  • Navigate to your Azure DevOps repository.
  • Select the “Branches” option.
  • Locate the branch you want to delete and click on the ellipsis (three-dot) button.
  • Choose the “Delete” option.

By regularly purging unnecessary branches, you can keep your source control system well-organized and optimized.

6. Implement Data Retention Policies

To maintain control over the amount of data stored in your repositories, it is essential to define and implement data retention policies. Azure DevOps allows you to configure policies both at the organization and project levels. These policies determine how long specific types of data (e.g., work items, test results, build artifacts) are preserved. By applying data retention policies, you can automatically remove aged data, reducing storage requirements.

To configure data retention policies in Azure DevOps, follow these steps:

  • Navigate to your Azure DevOps organization settings.
  • Under the “General” section, locate the “Data” option.
  • In the “Data” option, configure the desired retention policies for each data type.

Implementing data retention policies ensures that unnecessary data is automatically purged according to your defined rules.

In conclusion, purging data from source control is a vital aspect of managing your development environment efficiently. By employing the techniques and tools provided by Microsoft, such as the Azure DevOps REST API, Git garbage collection, history compression, branch deletion, and data retention policies, you can optimize storage, enhance performance, and keep your source control system organized. Regular purging ensures that only essential data is retained, reducing clutter and improving the overall productivity of your DevOps solutions.

Answer the Questions in Comment Section

True or False: In Microsoft DevOps Solutions, purging data from source control permanently removes the data and cannot be recovered.

Correct Answer: True

Which of the following are valid reasons for purging data from source control? (Select all that apply)

  • A) To reclaim storage space
  • B) To enhance performance
  • C) To remove sensitive or confidential information
  • D) To revert back to a previous version of the code

Correct Answer(s): A, C

True or False: Purging data from source control also removes the associated history and metadata.

Correct Answer: False

When purging data from source control, which of the following options are typically available? (Select all that apply)

  • A) Purge by date range
  • B) Purge by commit message
  • C) Purge by file type
  • D) Purge by developer name

Correct Answer(s): A, C, D

True or False: Purging data from source control affects all branches and repositories within the organization.

Correct Answer: False

True or False: Purging data from source control is an irreversible process.

Correct Answer: True

Which of the following tools or services provide built-in mechanisms for purging data from source control? (Select all that apply)

  • A) Git
  • B) Azure DevOps Services
  • C) Jenkins
  • D) Visual Studio Team Services

Correct Answer(s): A, B, D

True or False: Purging data from source control is considered a best practice to maintain a clean and manageable repository.

Correct Answer: True

What is the recommended approach for purging data from source control in a distributed version control system like Git?

  • A) Rewriting the repository’s history
  • B) Deleting specific file versions
  • C) Cloning the repository to a fresh location
  • D) Appending a purge command to each commit message

Correct Answer: A

True or False: Purging data from source control can be performed automatically based on predefined rules or policies.

Correct Answer: True

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Deeksha Gupta
8 months ago

Purge data from source control can be a tricky task, especially when you’re working with large repositories. Any tips for managing this effectively?

Heinz-Willi Schöner
8 months ago

Thanks for the insights!

Dobrik Sinko
11 months ago

Why would one consider purging data from source control in a DevOps environment?

Silje Johansen
10 months ago

Appreciate the detailed explanation!

Borka Radivojević
11 months ago

Is there a way to automate the purging process in an Azure DevOps pipeline?

Jasmina Vuksanović
11 months ago

I followed the guide but ended up with broken history in my repo. Any suggestions on what might have gone wrong?

Eeli Hautala
9 months ago

Great article, very informative!

Gloria Holguín
1 year ago

Is there an alternative to BFG Repo-Cleaner for purging files?

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