What the data for this category looks like
The data for this category mainly comes from database monitoring systems, audit logs, SQL execution plans, and ticketing systems. Daily generated documents include database change orders, slow SQL reports, backup records, and permission application forms. Change orders contain fields for instance identifiers, operation types, and SQL statements. Slow SQL reports record execution duration and scanned row counts. Backup records include recovery timeframes and storage paths. Data is updated each time a database change is triggered, or generated once daily, with no fixed statistical cycle.
What constraints these characteristics impose on the "workflow orchestration" link
In FastGPT v4.17.0, multiple data sources require workflows to support connecting different types of data source nodes, to adapt to format differences between monitoring metrics, log text, and structured ticketing data. The non-fixed frequency of data updates requires workflows to support both event-triggered and scheduled-triggered modes. Diverse document structures require workflows to be configured with branch judgment rules to adapt to different types of operation and maintenance tickets. The high-risk nature of data processing links requires workflows to have built-in failure retry and exception alert mechanisms to avoid data corruption or permission boundary violations.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Triggered by database change events / Scheduled trigger at 6:00 AM daily | Matches the business characteristic of data updated daily or per change |
| Parallel Node Count | 2-4 | Adapts to the typical range of database instance concurrent connection limits |
| Branch Judgment Rules | Match by ticket type and SQL execution plan tags | Adapts to structural differences across multiple types of database operation and maintenance documents |
| Failure Retry Count | 2 times | Addresses temporary fluctuations in log pulling and data queries |
| Node Timeout Duration | 300 seconds | Covers the typical duration of slow SQL analysis and backup recovery verification |
| Node and Variable Configuration | Use nodeId to name by instance ID + node type, use variables globally to pass core business data | Facilitates troubleshooting in multi-branch workflows, and transfers information such as database instance IDs and SQL statements across nodes |
Three Common Misconfigurations
- Symptom: The text classification extraction node returns empty results, and workflow benchmark test data cannot be generated. Cause: The SQL statement or log content to be classified is not passed via
variables, or the variable for storing benchmark data is not configured, resulting in the node having no valid input or being unable to conduct comparative experiments. - Symptom: Workflow execution times out after parallel branch nodes are configured. Cause: The database instance concurrent connection limit is not matched, and the parallel node count exceeds the normal bearing range.
- Symptom: The problem classification node is re-entered after workflow execution completes. Cause: No termination condition is set for the branch judgment rules, resulting in circular triggering of the classification logic.
How to Verify Proper Configuration
- Trigger the workflow, and check whether the core business data passed in
variablesmatches the input operation and maintenance ticket content. - View the workflow execution logs to confirm that the branch judgment rules correctly match the corresponding type of operation and maintenance document and trigger the specified branch.
- Simulate a temporary exception scenario to confirm that the failure retry mechanism is triggered and an exception record is generated.
- Check the
nodeIdidentifiers of all nodes to ensure that each node has a unique name that can quickly identify its associated business link.
The values provided here are common starting points and should be evaluated against the user'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.