How to use the command "git-summary" (with examples)
1: Display data about a Git repository
git summary
Motivation:
- The
git summary
command provides a quick overview of a Git repository, including the number of commits, contributors, and files.
Explanation:
- Simply running
git summary
without any additional arguments will display the general information about the repository, such as the total number of commits, authors, and files.
Example output:
Commits: 1000
Authors: 10
Files: 50
2: Display data about a Git repository since a commit-ish
git summary commit|branch_name|tag_name
Motivation:
- It can be useful to see the data about a Git repository since a specific commit, branch, or tag. This feature becomes handy when you want to analyze the changes made after a certain point in your Git history.
Explanation:
- By providing a commit, branch, or tag name to the
git summary
command, you can see the repository data from that specific point in time until the latest commit.
Example output:
Commits: 500
Authors: 8
Files: 40
3: Display data about a Git repository, merging committers using different emails
git summary --dedup-by-email
Motivation:
- In some cases, different email addresses can be associated with the same contributor, leading to separate statistics for each email. This option allows merging committers with different email addresses into a single statistic for each author.
Explanation:
- When running
git summary
with the--dedup-by-email
flag, the command combines the contributions of authors with different emails under a single author, resulting in aggregated statistics for each person.
Example output:
Commits: 800
Authors: 10
Files: 50
4: Display data about a Git repository, showing the number of lines modified by each contributor
git summary --line
Motivation:
- Tracking the number of lines modified by each contributor can be helpful in understanding individual contributions and overall codebase changes over time.
Explanation:
- The
--line
option generates a summary that includes the number of lines added, deleted, and modified by each contributor. This provides insights into the level of involvement and impact of each author.
Example output:
Author 1:
Lines added: 500
Lines deleted: 200
Lines modified: 700
Author 2:
Lines added: 300
Lines deleted: 150
Lines modified: 450
...