What Data for This Category Looks Like
The core data carriers for this category are defect tickets, regression checklists, repair verification records, and defect statistical reports. Data sources include internal defect management systems, test reports, code commit records, and user feedback channels. Data updates occur daily or per version release cycle. A single defect ticket includes fields such as defect ID, priority level, reproduction steps, repair status, and associated test cases. Regression checklists organize pending verification items by version. Statistical reports summarize defect distribution and repair progress by module and priority.
What Constraints These Characteristics Impose on Database and Operations Workflows
The data update frequency is daily or per version release cycle. This requires the database to support batch data writing and archiving by version, to prevent single-table data volume from growing continuously across version iterations. Data from multiple sources has varying field structures. The database must reserve extended fields to accommodate content differences across data sources such as defect management systems and test reports. Defect tickets, regression checklists, and repair verification records have strong relational dependencies. Reasonable foreign key constraints must be established to ensure data consistency. Missing high-priority defects can cause serious business issues. Basic data validation rules must be configured to filter invalid incoming requests.
How to Configure Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://fastgpt:xxxx@db-host:27017/fastgpt?authSource=admin | Adapts to the unstructured defect ticket and repair record storage architecture included in FastGPT v4.17.0. Fill in the actual deployed MongoDB instance address |
DB_MAX_LINK | 80–150 connections | Matches the concurrency requirements of daily batch defect data synchronization and version-level regression queries. Prevents service interruptions caused by exhausted connections |
REDIS_URL | redis://:redis-pass@redis-host:6379/1 | Used to cache frequently accessed defect statistical reports and regression checklist snapshots, reducing query pressure on the primary database |
PG_URL | postgresql://fastgpt:xxxx@db-host:5432/fastgpt_meta | Stores structured version metadata, defect priority configuration, and other fixed fields. Forms a hybrid storage architecture with MongoDB |
| Data Archival Cycle | Per version iteration cycle or 7 days | Adapts to the version-based data update rhythm of this scenario. Prevents historical data from occupying excessive storage resources |
Three Common Configuration Mistakes
- Symptom: MongoDB connection errors. Logs show connection timeouts or authentication failures. The interface fails to load the defect list. Cause: Authentication parameters for
MONGODB_URIare not configured correctly, or database address changes after container restart are not synced to the configuration. - Symptom: Some associated fields are empty after bulk import of defect data. Regression checklists cannot match corresponding repair records. Cause: Extended fields are not reserved to accommodate structural differences across multiple data sources, leading to failure of non-standard fields to write to the database normally.
- Symptom: Statistical report data is not updated after version release. Query results lag behind actual progress. Cause: Data synchronization and archiving tasks are not configured per version cycle, leading to old data not being overwritten or updated by new data.
How to Confirm Configuration Is Complete
- Run a database connection test script to verify that configurations for
MONGODB_URI,PG_URL, andREDIS_URLcan establish normal connections. - Import a test defect ticket. Check that it can be written to the database normally, associated with the corresponding regression checklist, and has no missing fields.
- View the database connection pool status. Confirm that the current connection count does not exceed the
DB_MAX_LINKconfiguration limit. - Trigger a version data synchronization task. Check that statistical reports can be generated and updated normally.
The values given are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.