| --- |
| title: "Commit Count" |
| description: > |
| Commit Count |
| sidebar_position: 6 |
| --- |
| |
| ## What is this metric? |
| The number of commits created. |
| |
| ## Why is it important? |
| 1. Identify potential bottlenecks that may affect output |
| 2. Encourage R&D practices of small step submissions and develop excellent coding habits |
| |
| ## Which dashboard(s) does it exist in |
| - GitHub Release Quality and Contribution Analysis |
| - Demo-Is this month more productive than last? |
| - Demo-Commit Count by Author |
| |
| ## How is it calculated? |
| This metric is calculated by counting the number of commits in the given data range. |
| |
| <b>Data Sources Required</b> |
| |
| This metric relies on commits collected from GitHub, GitLab or BitBucket. |
| |
| <b>Transformation Rules Required</b> |
| |
| N/A |
| |
| <b>SQL Queries</b> |
| |
| If you want to see the monthly trend, run the following SQL |
| ``` |
| with _commits as( |
| SELECT |
| DATE_ADD(date(authored_date), INTERVAL -DAY(date(authored_date))+1 DAY) as time, |
| count(*) as commit_count |
| FROM commits |
| WHERE |
| message not like '%Merge%' |
| and $__timeFilter(authored_date) |
| group by 1 |
| ) |
| |
| SELECT |
| date_format(time,'%M %Y') as month, |
| commit_count as "Commit Count" |
| FROM _commits |
| ORDER BY time |
| ``` |
| |
| ## How to improve? |
| 1. Identify the main reasons for the unusual number of commits and the possible impact on the number of commits through comparison |
| 2. Evaluate whether the number of commits is reasonable in conjunction with more microscopic workload metrics (e.g. lines of code/code equivalents) |