What the data for this category looks like
Data for this category comes from content moderation backends, user reporting channels, public regulations and policies, and annotation sample libraries. Daily maintained documents include moderation rule entries, violation disposal guidelines, user appeal records, and quarterly quality inspection reports. Update frequency is daily synchronization, or updates aligned with special policy adjustments. Document fields include rule ID, trigger conditions, associated sample number, appeal status, quality inspection score, and others. There are no unified fixed units, adjusted based on the type and scenario of the moderation rule. Data volume fluctuates with platform content scale, requiring flexible storage expansion and query optimization to adapt to moderation business needs of varying scales.
What constraints these characteristics impose on the database and operations domain
Multi-data source access requires databases to support cross-source associated queries, with properly configured permission isolation mechanisms to prevent data leakage across different business modules. Dynamically updated rule data must support hot loading to avoid interrupting moderation processes due to service restarts. Storage of sample libraries and appeal records must meet audit compliance requirements, requiring regular backups and an undeletable archiving mechanism to retain a complete moderation audit trail. Differences in fields across different moderation rules require database table structures to support flexible expansion, avoiding hard-coded fixed fields to adapt to new moderation type requirements. High-frequency rule queries and sample retrievals require a configured caching layer to reduce direct database access load and avoid impacting response speeds of core moderation processes.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://admin:securepass@db-host:27017/audit_rules?replicaSet=rs0 | Adapts to FastGPT v4.17.0 unstructured data storage specifications, stores moderation rules, appeal records and other data, configures a replica set to ensure high availability |
PG_URL | postgresql://audit_user:pgpass@pg-host:5432/audit_db?sslmode=verify-full | Stores structured data such as annotation sample libraries and quality inspection reports, enables SSL verification to ensure data transmission security |
DB_MAX_LINK | 15–25 | Adapts to concurrent peak loads of daily moderation queries, prevents database connection pool exhaustion |
REDIS_URL | redis://redis-pass@redis-host:6379/1 | Caches frequently called moderation rules and sample data, reduces direct database access frequency |
Three common mistakes
- Symptom: Local code debugging works normally, but after packaging as a Docker image, database connection failure is prompted, returning
ECONNREFUSEDor28000status code. Cause: Database connection environment variables are not correctly configured within the image, or the container network is not connected to the database instance, resulting in inability to access external database services. - Symptom: An error
column vector does not existis reported when executing moderation rule queries in a PostgreSQL environment. Cause: After manually deleting and reinstalling the vector extension, the database initialization script was not re-executed, resulting in failure to restore original field dependencies. - Symptom: Timeout errors occur during high-concurrency moderation rule queries, returning
504 Gateway Timeout. Cause: A reasonable database connection pool upper limit was not configured, leading to connection exhaustion and inability to process new requests.
How to confirm the configuration is complete
- Run the built-in database connectivity detection tool to verify the connection validity of
MONGODB_URIandPG_URL, confirm there are no authentication or network anomalies. - View the cache hit statistics panel to confirm that moderation rule data has been loaded into the Redis instance, verifying that the caching function is working properly.
- Check the real-time connection count of the database connection pool, confirm it does not exceed the
DB_MAX_LINKconfiguration threshold. - Submit a temporary moderation rule update to verify that the configured dynamic update mechanism takes effect, with new rules taking effect without restarting the service.
The values provided 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.