What Data Does This Category Include?
Data for this category primarily comes from art asset libraries, project management systems, engine resources, and outsourced delivery packages. Daily associated documents include art requirement sheets, asset specifications, outsourced feedback forms, and acceptance records. Most data updates occur daily or weekly. Asset specifications include attributes such as polygon count and texture resolution. Outsourced feedback forms include fields such as delivery status and rework comments. Overall data includes both structured project records and unstructured asset file metadata.
What Constraints Do These Characteristics Impose on Database and Operations?
The need to access multiple data sources for art asset production management requires databases to support cross-source data synchronization and heterogeneous field storage. Daily or weekly update cycles create read/write traffic peaks, so read-write separation and connection pool rate limiting must be configured. Differentiated fields across different documents require databases to have flexible schema adaptation capabilities. The consequences of resource mismatches or missing version assets require databases to have data consistency checks and version rollback mechanisms. Bulk import scenarios for outsourced delivery packages require databases to support efficient bulk write operations.
How to Set Configurations
These configurations apply to FastGPT v4.17.0.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Database Connection URL | mongodb://user:pass@host:27017/art_assets_db | Meets unstructured document storage needs for art asset libraries |
| Relational Database Connection URL | postgresql://user:pass@host:5432/project_manage | Stores structured art requirement sheets and acceptance records. Can be replaced with other relational databases per business requirements |
| Maximum Database Connections | 80–120 | Matches concurrent access during daily update peaks, prevents connection exhaustion |
| Redis Cache Address | redis://:auth@host:6379/1 | Caches frequently accessed asset specification data to reduce database load |
| Database Backup Rules | Full weekly backups, incremental daily backups | Adapts to data update frequency, ensures efficient fault recovery |
Three Common Misconfigurations
- Phenomenon: Unable to log in after a version upgrade, with the interface returning a 502 status code. Cause: Database connection configuration was modified but container environment variables were not updated synchronously, leading to failed database connections.
- Phenomenon: Some asset record fields are empty when bulk importing outsourced delivery packages. Cause: Redis cache was not configured as a temporary data queue, leading to memory overflow during bulk import and partial data loss.
- Phenomenon: Database read/write timeouts occur, causing task execution to fail. Cause: Maximum database connections were set too low, concurrent requests exceed connection limits, leading to queued request timeouts.
How to Verify Proper Configuration
- Run a database connectivity test script to verify the validity of the database connection URL configuration, adjust connection parameters based on test results.
- View the cache monitoring panel to confirm that frequently accessed asset specification data is cached normally, adjust cache-related configurations based on business access frequency.
- Simulate a bulk import of outsourced delivery packages, check the database write success rate, adjust the maximum database connection value based on import peaks.
- Run the pre-upgrade backup verification process to confirm that images and data backup files can be restored normally, adjust backup rules based on data update frequency.
The values provided here 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.