What the data for this category looks like
This category of data primarily comes from game operation logs, real-time online player count monitoring data, business database records, and tickets submitted by players. Daily produced documents include server architecture descriptions, server launch plans, server merging plans, and fault reports. Data update frequency is typically daily or aligned with game event cycles. Fields cover server node status, player behavior trajectories, resource usage, ticket processing progress, and more. Common units include timestamps, concurrent connection counts, storage capacity, and ticket IDs.
What constraints do these characteristics impose on the databases and operations workflow
The data characteristics of this category impose multiple constraints on the database and operations workflow. Massive real-time logs and periodic batch data from server launches and merges create read-write pressure during peak periods. Reasonable connection resource configuration is required to avoid blocking. Heterogeneous data from multiple sources needs unified storage and query logic to support associated analysis across different documents and tickets. Data update frequency is tied to game events, so sufficient buffer space must be reserved to respond to sudden business fluctuations. Historical fault data must also remain traceable.
How to set the configurations
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum database connection pool size | 200–300 | Matches peak demand for concurrent connections and batch data processing of game servers |
| MongoDB connection address | Full connection string containing replica set and authentication information | Adapts to high availability requirements for multi-node distributed deployments |
| PostgreSQL read-write separation configuration | Connection addresses separating read-only instances and read-write instances | Reduces read-write concurrency pressure on the primary database |
| Redis cache configuration | Dual addresses for local cache nodes and remote synchronization nodes, set key expiration time to 3600 seconds | Accelerates online status synchronization and player data queries, adapts to cache requirements for daily operations and event cycles |
| Database query timeout threshold | 30 seconds | Adapts to real-time response requirements of game services, avoids long-term blocking of requests |
Three common mistakes
- Symptom: Chinese fields in query results from MySQL connections display garbled text. Cause: The correct character set parameter was not specified in the database connection configuration, leading to mismatched encoding conversion.
- Symptom: Database connection timeout errors occur during batch server merging data processing. Cause: The maximum connection pool size for the database is set too low, unable to handle concurrent requests from batch data operations.
- Symptom: Parsing takes too long when importing large server architecture documents. Cause: Reasonable segmentation rules were not configured for long-text content, leading to excessive parsing load.
How to verify correct configurations
- Perform a simulated server launch batch data write operation, observe the database connection pool usage, and adjust parameters to meet business peak demand.
- Initiate a database query request containing Chinese content, confirm that Chinese in the returned results displays correctly, and verify the effectiveness of the character set configuration.
- Import a technical document of a size comparable to daily documents, check if parsing time meets business expectations, and adjust segmentation processing rules.
- View the database monitoring panel, confirm that the response time of read-write requests meets business real-time requirements.
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.