Data profile for this category
Data originates from text, art assets, plot scripts created during game development, and publicly disclosed regulatory compliance requirements. Daily generated documents include content self-check lists, sensitive content modification records, user agreements, and compliance review minutes. Updates to this data are triggered by game version iterations or the launch of operational activities. A single update covers all compliance-related materials and documents for one version or single event. Data fields include asset type, inspection node, modification traces, review opinion status, and other relevant fields. There is no fixed unified format, and adjustments are made based on the compliance rules of individual game projects.
Constraints on database and operations workflows
Frequent data updates tied to game versions or events require databases to support batch writes and fast queries, preventing delays in compliance checks ahead of version releases. Multiple types of assets require distinct field structures, so flexible schema adjustments are needed to align with compliance rules for different projects. Full historical versions of review minutes and modification records must be retained, so database version rollback functions need to be configured. Concurrent write pressure from frequent updates requires reasonable connection pool limits to be set through operational configurations, avoiding database connection exhaustion during release peaks. Storage characteristics of different databases must also be accommodated, with separate storage paths for structured and unstructured data.
Configuration guidelines
This document applies to the game content compliance self-check scenario for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 200–300 connections | Handle batch compliance data writes and queries during version release peaks, prevent connection exhaustion |
MONGODB_URI | Allocate 1000–2000 MB of storage space based on project compliance data volume | Store unstructured game text and art asset inspection records, support flexible document structures |
REDIS_URL | Set cache validity period to 300–600 seconds | Cache frequently accessed compliance rules and review statuses, reduce database query pressure |
PG_URL | Enable version rollback functionality | Store compliance review minutes and sensitive content modification records, support full historical version queries |
| Automatic backup cycle | Execute full backup at 2:00 AM daily | Ensure compliance data is not lost before version updates, align with version update schedules |
| Field index configuration | Create indexes for asset type and inspection node fields | Speed up batch queries and filtering operations for compliance self-checks |
Three common configuration errors
- Symptom: Interface login fails after container startup, logs show database connection failure, and manual verification of database account and password is unsuccessful. Cause: Account and password parameters for
MONGODB_URIare not configured correctly, or the corresponding port is not open for the database service. - Symptom: Some compliance check records are lost after a version update, and query result counts are lower than expected. Cause: Database connection pool upper limit is set too low, leading to dropped write requests during peak hours, with no retry mechanism configured.
- Symptom: Compliance review minutes cannot be queried by version for rollback. Cause: Database version storage functionality is not enabled, or version rollback parameters are not configured for structured data.
How to verify correct configuration
- Run a database connection test script to confirm that the configured database address, account, and password can establish a normal connection.
- Simulate batch data writes for a version update, and check if the write success rate and query response time align with business operational rhythms.
- Review database backup logs to confirm that daily full backup tasks are executing normally.
- Submit a compliance review record, and verify that historical modification traces can be queried using the version number for rollback.
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.