Acme Manufacturing tracks operational issues by source system. Write a PostgreSQL query to summarize issue volume and resolution speed for sources that currently have at least one open issue.
source_name.open_issue_count.high_open_issue_count.avg_resolution_days, rounded to 1 decimal place.open_issue_count descending, then source_name ascending.| Column | Type | Description |
|---|---|---|
| issue_idPK | INT | Primary key for each issue |
| source_id | INT | Foreign key to the issue source |
| severity | VARCHAR(20) | Severity label such as low, medium, or high |
| status | VARCHAR(20) | Issue status such as open or closed |
| created_at | DATE | Date the issue was created |
| resolved_at | DATE | Date the issue was resolved, if closed |
| Column | Type | Description |
|---|---|---|
| source_idPK | INT | Primary key for the issue source |
| source_name | VARCHAR(50) | Human-readable source name |
| Column | Type | Description |
|---|---|---|
| activity_idPK | INT | Primary key for the activity row |
| issue_id | INT | Foreign key to the issue |
| activity_date | DATE | Date of the activity |
| minutes_spent | INT | Minutes spent on the issue that day |