sourcetable
csv

How To Export Git Log to CSV

Get deep insights into your CSV data with Sourcetable AI. Create custom charts, formulas, and reports. No Excel skills required.


Learn more
Jump to

Introduction

Exporting data from Git log to CSV can simplify the process of analyzing repository history and commits. This guide will walk you through the steps necessary to perform this export efficiently and accurately.

We'll cover the essential commands required and troubleshoot common issues that may arise during the export process. Finally, we'll explore how Sourcetable lets you analyze your exported data with AI in a simple to use spreadsheet.

csv

Exporting Git Log Data to CSV Format

  1. To export Git log data to a CSV file, you need to use the <code>git log</code> command with specific formatting and redirection options. This process allows you to capture essential commit details in a structured format suitable for data analysis or reporting.
  2. Using the git log Command

  3. The <code>git log</code> command is central to this task. To create a CSV file from the Git log, use the command <code>git log --pretty=format:%h,%an,%ae,%s &gt; /path/to/file.csv</code>. This command generates a CSV file at the specified location.
  4. Formatting the Log Output

  5. The <code>--pretty=format</code> option customizes the log output. The string passed to this option specifies the format, including:
  6. <code>%h</code>: abbreviated hash
  7. <code>%an</code>: author name
  8. <code>%ae</code>: author email
  9. <code>%s</code>: subject
  10. These placeholders ensure the CSV file contains relevant commit information.
  11. Redirecting Output to a File

  12. The redirection operator <code>&gt;</code> directs the output of the <code>git log</code> command to a file. By appending <code>.csv</code> to the file name, the resulting file is in CSV format, making it accessible for tools that handle CSV files.
  13. Additional Export Options

  14. You can further customize the git log export using additional options. For example, using <code>--no-pager</code> disables the pager, and <code>--oneline -50</code> limits the output to the latest 50 commits. These options enhance control over the exported data.
  15. In summary, exporting a Git log to a CSV file involves using the <code>git log</code> command with the <code>--pretty=format</code> option and redirection operator. This method captures essential commit details in a structured format.
csv

How to Export Your Git Log to CSV Format

Basic Export

To export your Git log to a CSV file, you can use the git log command with the --oneline option. This creates a simple, one-line-per-commit CSV file. Use the following command:

git log --oneline > gitlog.csv

Custom Formatting

You can format the Git log output using the --pretty option to include specific details such as commit hash, author name, author email, and the commit message. Use this command:

git log --pretty=format:%h,%an,%ae,%s > /path/to/file.csv

Here, %h represents the abbreviated commit hash, %an is the author name, %ae is the author email, and %s is the commit message.

Strict ISO Date Format

For a more detailed CSV export that includes commit dates in strict ISO format, use:

git log --pretty=format:'"%h","%ad","%an","%s"' --date=iso-strict > gitlog.csv

In this command, %h is the commit hash, %ad is the authored date, %an is the author name, and %s is the commit message. The --date=iso-strict option ensures dates are in strict ISO format.

Limiting Commits

You can limit the commits included in the CSV using the --since option. This restricts the log to commits after a specified date. For example:

git log --pretty=format:'"%h","%ad","%an","%s"' --date=iso-strict --since='2020-01-01' > gitlog.csv

Additional Options

The git log command can also be used with other options like --after to specify a date range, or --no-pager to directly send output to a text file. Example:

git log --after='2020-3-20' --pretty=format:'Author: %an %nDate/Time: %aD%nCommit: %s' | paste > log.txt

This command customizes the log format and saves it to log.txt.

csv

Use Cases Unlocked by Understanding Git Log

Track File History

Using Git log enables tracking the entire history of a file. By specifying the file path, you can view all commits that have modified that file. This helps understand the changes made over time and can identify when a bug was introduced into the file.

Identify Specific Changes

With the -p option, Git log shows the precise lines added or removed in each commit. This granularity helps in pinpointing exact changes, making it easier to identify where issues or bugs were introduced.

Analyze Author Contributions

Using the --author flag with Git log filters commits by a specific author. This functionality is essential for review processes, enabling team leads to audit contributions and recognize individual achievements.

Limit Output by Date

Filtering commits made within a specified timeframe is possible using the --since and --until options. This is useful for generating reports on recent project activity or focusing on changes made during a particular sprint or development phase.

Visualize Branch Structure

The --graph option allows drawing an ASCII graph of the commit history, displaying the branch structure. This visual representation helps understand the project's branching model and how different commits and branches relate to each other.

Search Commit Messages

Utilize the --grep flag to search for specific keywords or patterns within commit messages. This feature is essential for quickly locating commits related to particular features, bugs, or tasks by searching for relevant terms in the commit logs.

sourcetable

Why Sourcetable is an Alternative to Git Log

Sourcetable streamlines data management by collecting all your data in one place from various sources. Unlike Git log, which is tailored for version control, Sourcetable integrates data in real-time, making it easier to access and manipulate information efficiently.

With Sourcetable, you can query your data using a familiar, spreadsheet-like interface. This intuitive setup allows team members to handle database queries without extensive coding knowledge, thereby improving productivity and collaboration in data analysis.

By offering a real-time data querying and manipulation environment, Sourcetable provides enhanced insight and control over your data. This seamless integration and usability position Sourcetable as a robust alternative to traditional tools like Git log.

csv

Frequently Asked Questions

How can I export a Git log to a CSV file?

You can export a Git log to a CSV file using the command: git log --pretty=format:'"%h","%ad","%an","%s"' --date=iso-strict > git_log.csv. This will output the commit hash, authored date, author name, and comment subject in CSV format.

Which Git log options should I use to include dates in the CSV export?

You should use the --date=iso-strict option to include dates in the CSV export. This allows for a strict ISO date format.

How can I limit the commits included in the Git log CSV export?

You can limit the commits included in the export by using the --since flag. For example, git log --pretty=format:'"%h","%ad","%an","%s"' --date=iso-strict --since='1 month ago' > git_log.csv will include commits from the last month.

What is the purpose of the --pretty=format option in the Git log command?

The --pretty=format option allows you to specify which fields to include in the output and how to format them. For example, --pretty=format:'"%h","%ad","%an","%s"' includes the commit hash, authored date, author name, and comment subject in CSV format.

Can the Git log output be directly redirected to a CSV file?

Yes, the output of the Git log command can be redirected to a CSV file using the > operator. For example, git log --pretty=format:'"%h","%ad","%an","%s"' --date=iso-strict > git_log.csv.

Conclusion

Exporting data from Git log to CSV can streamline your workflow and make data analysis more efficient. Following the outlined steps ensures a smooth transition of data from Git to your desired CSV format.

For advanced analysis, consider leveraging Sourcetable. Sign up today to analyze your exported CSV data with AI in a simple-to-use spreadsheet.



Sourcetable Logo

Get insights into your CSV data

Turn your data into insights in seconds. Analyze your CSVs using natural language instead of complex formulas. Try Sourcetable for free to get started.

Drop CSV