Exporting data from GitLab to CSV is a straightforward process that enables you to take your project data offline for analysis, sharing, or backup. GitLab's export feature supports various data types, including project issues, merge requests, and pipeline logs.
Understanding how to efficiently export your data can enhance your project management, reporting, and data analysis tasks. In this guide, we'll walk you through the steps to export your GitLab data to CSV.
We'll also explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.
You can export user data from GitLab to CSV using the GitLab API. Specifically, you should use the Users API. This process can be scripted to extract any information you need about users. Admin users can access more detailed data, including email addresses.
Directly exporting projects to CSV is not supported in GitLab. Projects contain files and various types of information that cannot be encapsulated in a CSV format. Instead, use the GitLab web interface's export project option to export project data.
In GitLab's paid versions and in GitLab Community Edition, CSV export functionality for issues is built-in. For free versions starting from 12.10, this feature is also available. The Issues API can be used to extract issues and output them in CSV format in both the free and paid versions of GitLab.
Repository data cannot be exported directly to CSV. Similar to project data, the best approach is to use the GitLab web interface's export functionality to back up your repositories in a different format.
To export users to CSV, use the GitLab Users API. The Users API can be scripted to retrieve any necessary user information. This is currently the only method to export users to CSV in GitLab.
Exporting projects to CSV directly is not supported because projects contain files and other types of information. To export project data, use the GitLab web interface.
GitLab provides several methods to export data as CSV. These include streaming, downloading, email attachment, email link, and polling.
Streaming queries and yields data in batches to a response stream. This method is available immediately but requires a reliable connection and lacks a progress indicator.
Downloading queries and writes data in batches to a temporary file. The file is then sent to the client. This method can be memory intensive and may cause request timeouts with large files.
Exporting as an email attachment processes the query asynchronously in a background job and emails the CSV file as an attachment upon completion.
Exporting as a downloadable link in an email also processes the query asynchronously and emails a link to download the CSV file once it is ready.
Polling methods export CSV files by processing the query asynchronously. Non-persistent state polling checks the frontend every few seconds for file readiness, while persistent state polling maintains the export state in the backend.
To export issues to CSV, use the download button located on the Issues List page. This button enables easy downloading of issues data as a CSV file.
Test Case Management |
GitLab facilitates creating, viewing, editing, and archiving test cases, streamlining the testing process. Test cases can be made confidential, preserving sensitive information. Archived test cases can be reopened, providing flexibility in test case management. |
Enhanced Agile Project Management |
GitLab's flexible features support various Agile frameworks, making it adaptable to different project needs. It allows for both cross-functional teams and larger teams of teams, ensuring cohesive project execution. Visibility, traceability, and reporting at all levels enhance project management efficiency. |
Comprehensive DevSecOps Platform |
GitLab offers a unified DevSecOps platform that integrates security into the development lifecycle. The AI-powered tools provide end-to-end management and monitoring, promoting secure and efficient software development. |
Streamlined Collaboration |
GitLab's collaboration features enable best practice workflows, ease in coordinating work, and straightforward review processes. Teams manage delivery with greater efficiency, ensuring consistency and high-quality outcomes. |
Integrated CI/CD Tools |
GitLab CI/CD integrates with various tools and platforms, enhancing pipeline configurations. Reusable components reduce duplication and improve maintainability. Templates for common tasks and integrations promote consistency across projects. |
Sourcetable offers a streamlined solution for data management by consolidating all your data in one place. Unlike GitLab, which is primarily tailored for DevOps and source code management, Sourcetable functions as a robust data aggregation tool.
With Sourcetable, users can effortlessly query their data using an intuitive spreadsheet-like interface. This interface allows real-time data manipulation, making it an ideal choice for those who require immediate and dynamic access to database information.
By integrating multiple data sources, Sourcetable eliminates the need for switching between platforms. This feature significantly enhances productivity and data accuracy compared to GitLab's more segmented approach.
Yes, users can be exported to CSV using the Users API.
No, projects cannot be exported to CSV because they contain files and other information.
GitLab projects can be exported using the export project option available in the GitLab web interface.
Issues can be exported to a CSV file, which is sent as an email attachment and can be used with programs like Microsoft Excel, OpenOffice Calc, and Google Sheets.
There are several implementations including streaming queries and yields data in batches to a response stream, and exporting the audit event log by writing data in batches to a temporary file.
Exporting data from GitLab to CSV is an efficient way to manage and analyze your projects. This straightforward process ensures you have your data in a versatile format that can be used for various applications.
With your data now in CSV format, you can leverage this information for deeper insights and streamlined operations. Don't miss out on enhanced data analysis opportunities.
Sign up for Sourcetable today to analyze your exported CSV data with AI in a user-friendly spreadsheet.