What the data for this category looks like
Data sources include joint-stock bank corporate credit ledger systems, interbank lending trading systems, and the People's Bank of China financial statistics direct reporting interface. The system completes full synchronization of the previous day’s data each day at T+1 early morning. The document structure uses a mixed format of structured CSV and semi-structured Excel. It includes core fields such as financing entity unified social credit code, financing amount, due repayment date, effective interest rate, and guarantee method. Financing amount is measured in ten thousand yuan, effective interest rate is measured in percentage, and due repayment date uses the YYYY-MM-DD standard format. Some fields allow null values. For example, guarantee method has no corresponding value in credit financing scenarios.
What constraints these characteristics impose on workflow orchestration
Compared with city commercial banks, joint-stock banks’ financing daily report data sources include interbank lending trading systems, leading to higher complexity of multi-data source aggregation. Compared with large state-owned commercial banks, joint-stock banks’ core system maintenance windows are usually fixed at around 1:00 AM. The timing trigger node time must accurately adapt to this window. Mixed multi-data sources require the workflow to configure multi-node aggregation logic. Unique primary keys must be used to associate fields returned by different systems to avoid data duplication or omission. The mixed structured and semi-structured document structure requires the workflow to support both structured field extraction and unstructured text parsing. Corresponding nodes must be configured to process data in different formats separately. Fixed field units and formats require adding a verification link. This ensures extracted fields meet preset units and formats, avoiding errors in subsequent report generation.
How to Set Configuration Parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
schedule_trigger_cron | 0 2 0 * * ? | Joint-stock bank core systems usually complete daily data collection at 1:00 AM. Triggering at 2:00 AM avoids the system maintenance window and ensures data integrity |
structured_data_parse_mode | auto_detect_with_schema | The financing daily report includes fixed preset fields. The automatic detection mode matches the preset field structure and reduces manual configuration workload |
field_format_check_level | strict | The financing daily report has high requirements for field compliance. The strict verification mode filters entries with format errors or non-compliant units |
multi_source_merge_strategy | primary_key_match | Multi-data sources need to merge data using the financing entity unified social credit code as the primary key, ensuring all financing information for the same entity is fully aggregated |
workflow_timeout | 900 seconds | Multi-data source aggregation and field verification links require long processing times. This value prevents the workflow from being forcibly interrupted due to timeout |
file_export_format | csv | Subsequent data analysis and reporting tools have stronger compatibility with CSV format, facilitating subsequent process calls |
The parameter values provided on this page are all conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: The workflow stalls after reaching the
database_querynode, with no log output. Cause: No retry mechanism for database connections is configured. The connection concurrency threshold of joint-stock bank core databases is low, and connections occupied by a single call are not released in a timely manner. This causes subsequent nodes to fail to obtain connection resources. - Phenomenon: The interface returns a
504 Gateway Timeouterror, and workflow execution is interrupted. Cause: Theconnect_timeoutparameter is not set to a reasonable value adapted to bank systems. The connection establishment process exceeds the timeout threshold of the system gateway, triggering gateway interception. - Phenomenon: Some field units in the generated daily report file display abnormally, such as "ten thousand yuan" being parsed as "yuan". Cause: The
field_unit_checkconfiguration item is not enabled, and no mandatory verification of field units is performed. This causes entries with format errors to be included in the final report.
How to Confirm the Configuration Is Complete
- Manually trigger the workflow, check the output logs of the
structured_data_parsenode, and confirm that all preset fields are correctly extracted with no missing or incorrectly parsed entries. - Check the configuration details of the
database_connectionnode, confirm that the connection address, port, username, and parameters provided by the bank’s internal operation and maintenance team are consistent. Verify that the connection status shows normal. - Run the field verification node, simulate input of test data with incorrect formats, and confirm that the workflow triggers interception and returns clear error prompts. Incorrect data is not included in subsequent links.
- Check the scheduling logs of the scheduled task, confirm that the task is normally scheduled at the preset time point, and is not intercepted or delayed by the system.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.