What this category of data looks like
The data for this category primarily comes from customer service system tickets, community forum comments, app store player reviews, and in-game behavior logs. Daily processed documents include player tickets, compensation request forms, public opinion daily reports, and standardized response scripts. Data update cycles are mostly daily or real-time. Individual data entries include fields such as player identifier, issue type, submission time, processing progress, and feedback content. There is no unified fixed format, and fields are adjusted flexibly based on feedback scenarios.
Constraints on Database and Operations
Multi-source heterogeneous data sources require databases to support flexible schema adaptation, to avoid field compatibility issues from strict constraints. Real-time feedback data needs databases with high-concurrency write and low-latency query capabilities to support immediate ticket routing and public opinion monitoring. Non-standardized feedback content requires vector retrieval tools to assist rapid categorization and script matching. Data loss or query delays directly reduce issue handling efficiency and may trigger player complaints. Redundant backup and read-write separation mechanisms must be configured to ensure data reliability.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://replSetName/host1:27017,host2:27017/?readPreference=secondaryPreferred | Stores unstructured player feedback and public opinion comments, supports replica sets to improve read and write performance |
PG_URL | postgresql://admin:${DB_PASS}@pg-host:5432/customer_service?sslmode=require | Stores structured ticket information and compensation request records, ensures data consistency and query efficiency |
DB_MAX_LINK | 60–100 | Adapts to thousands of daily ticket routing and public opinion data processing volumes, prevents database connection exhaustion |
REDIS_URL | redis://:${REDIS_PASS}@redis-host:6379/1 | Caches frequently called player account verification results and standardized response scripts, reduces database query load |
Three Common Misconfigurations
- Phenomenon: After configuring
MONGODB_URI, the business interface returns a connection timeout error, but local mongosh connections work normally. Cause: Database access whitelisting is not configured in the FastGPT deployment environment, or environmental network policies restrict port access. - Phenomenon: Dragging nodes in large workflow canvases causes significant lag, with response times of several seconds. Cause: A reasonable
DB_MAX_LINKvalue is not configured, or Redis caching for frequently called node configuration data is not enabled, leading to frequent database queries that slow front-end rendering. - Phenomenon: Custom vector databases cannot be properly connected as knowledge bases. Cause: The database address is not configured in the connection format required by FastGPT, or cross-domain access permissions for the vector database are not enabled, preventing data synchronization from being established.
How to Verify Proper Configuration
- Run the database connection test script built into FastGPT v4.17.0 to verify connectivity for
MONGODB_URI,PG_URL, andREDIS_URL, and confirm there are no authentication or network errors. - Submit a simulated player ticket, observe whether data is correctly written to the corresponding database table or collection, and verify that the write process works normally.
- Trigger high-frequency query operations, compare response times between cached and direct database queries, and confirm that Redis caching is active.
- After adjusting the
DB_MAX_LINKparameter, observe the concurrent connection count monitoring panel, and confirm that the connection count does not exceed the set threshold.
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.