What this category of data consists of
This category of data primarily comes from database monitoring systems, built-in audit logs, SQL execution plan files, and operation ticket systems. Daily associated documents include database change orders, slow SQL analysis reports, backup and restore records, and permission application approval forms. Systems update this data either daily or synced alongside individual database changes. Common fields include session identifier, operation timestamp, executed SQL raw text, permission change scope, resource consumption metrics, and execution result status.
Constraints on conversation logs and auditing workflows
The multi-source data nature of database operations requires the conversation log auditing workflow to support cross-system log aggregation. It must associate database monitoring data, SQL execution plans, and ticket system data. The daily or change-synced update feature requires audit logs to support quick filtering by time range and change order ID. This prevents redundant data from occupying storage space. The rich set of field types requires audit configuration to support custom log field extraction. It must focus on high-risk operation conversation links such as slow queries and permission changes. It must also retain complete execution context to support fault traceability. This prevents positioning failures caused by field truncation. Additionally, the complexity of data association requires the auditing workflow to define clear binding rules between session identifiers and tickets. This ensures every database operation can be traced back to the corresponding operation application.
Configuring the Settings
For FastGPT v4.17.0, use the following configuration items to set conversation log and audit parameters:
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Log storage retention period | 30–90 days | Matches the archiving cycle of database change orders and backup records, and meets the 90-day maximum fault traceability requirement |
| High-risk session sampling rule | Collect the first 1000 slow query and permission change sessions | Focuses on the most time-consuming slow query troubleshooting and high-privilege operations, avoiding full log storage resource usage |
| Detailed log collection switch | Enable detail field collection | Fully obtains details such as SQL execution plans and resource consumption, supporting root cause analysis of slow queries |
| Session identifier binding rule | Use chatId to associate operation ticket ID | Implements link binding between database operations and operation applications, enabling quick localization of faults associated with changes |
| Retrieval result limit | Return up to 500 results per request | Controls retrieval resource consumption, preventing page load timeouts or interface errors |
| Cross-source log synchronization interval | 5 minutes | Balances real-time performance and system load, ensuring timely association between tickets and database operation logs |
Three Common Configuration Errors
- Symptom: Empty results are returned when searching for database operation sessions. Cause: The
detailfield collection is not enabled, and core log content related to SQL execution is not extracted. This corresponds to the common issue of missing log records. - Symptom: Logs for high-privilege change operations are not captured after auditing is configured. Cause: No high-risk session sampling rule is set, and key operations such as permission applications and database structure changes are accidentally filtered out.
- Symptom: Write failures occur due to continuous growth of log storage usage. Cause: A reasonable log retention period is not configured, and automatic archiving policies are not enabled, leading to accumulation of redundant data.
How to Verify Successful Configuration
- Manually execute a slow query statement, and check if the session log corresponding to
chatIdincludes the complete SQL raw text and execution time data. - Submit a test database change ticket, and confirm that the associated
detailfield log has been synced to the audit panel and bound to the corresponding ticket ID. - View the storage usage of the log directory, and confirm that expired logs are automatically cleaned up per the set retention period, with no redundant data accumulation.
- Search the session list for high-privilege operations, confirm that the number of returned results per request matches the configured limit, and no loading exceptions occur.
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.