What the Data for This Category Looks Like
Data sources for joint-stock bank yield rate data include the bank’s own asset and liability management system, wealth management subsidiary product operation systems, and public interbank market quotation APIs. Data is fully synchronized at a fixed time daily. Each data entry uses a standardized structured format. Fields include unique product identifiers, full product names, statistical dates, actual yields, benchmark yields, and other standardized indicators related to financial product yields. No additional unstructured content is included.
Constraints Imposed on Database and Operations Workflows
Multi-source data access requires configuring cross-system data validation rules to prevent inconsistent metrics between internal and external data sources. Fixed-time update schedules require scheduling timed tasks to match the daily end-of-day data generation window, to avoid task timeouts that disrupt next-day broadcasts. Multiple yield rate fields require pre-defining unified field mapping rules to ensure consistent formatting during data ingestion. Financial data compliance requirements mandate enabling database audit logs to retain full operation records for subsequent traceability. Additionally, daily batch synchronization data volume must align with database write throughput to avoid write blocking.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_TASK_CRON | 0 30 18 * * * | Matches the fixed end-of-day data generation time for joint-stock banks, ensuring synchronization tasks trigger after data is generated |
DB_WRITE_BATCH_SIZE | 500 records per batch | Adapts to daily synchronization data volume, balancing write performance and single-task duration |
PARSE_DATA_TIMEOUT | 300 seconds | Covers the full duration of multi-source data cleaning and validation, preventing task interruption from early timeouts |
DB_BACKUP_POLICY | Daily full backup at 00:00 + hourly incremental backup | Meets compliance backup requirements for financial data, balancing recovery efficiency and data integrity |
READ_ONLY_REPLICA_COUNT | 2 replicas | Supports concurrent demands of daily batch queries and real-time broadcasts, preventing overload on the primary database |
LOG_RETENTION_DAYS | 90 days | Meets financial industry audit log retention requirements, facilitating subsequent operation traceability |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, volume, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: After switching to Clickhouse as the database, timed synchronization tasks frequently throw
400 Bad Requesterrors. Cause: Cross-database field mapping rules were not configured. The original Postgres field format is incompatible with Clickhouse storage structure. - Issue: Daily synchronization tasks time out, with the API returning
504 Gateway Timeoutstatus code. Cause: ThePARSE_DATA_TIMEOUTparameter was not adjusted. The default short timeout setting for general scenarios does not cover the cleaning duration of multi-source data. - Issue: Some yield rate fields are empty after database backup recovery. Cause: Only the container image was backed up, not the incremental logs for business data. This results in loss of incremental data from daily end-of-day synchronization after recovery.
How to Verify Proper Configuration
- Review timed task execution logs to confirm that the daily 18:30 synchronization task triggers successfully and completes. Verify that the trigger time matches the configured
SYNC_TASK_CRONvalue. - Randomly sample daily synchronized yield rate data to confirm that field formats match pre-defined mapping rules, with no format anomalies.
- Check the synchronization status of database read-only replicas to confirm that latency meets the timeliness requirements of business broadcasts, and no adjustment to replica count is needed.
- Trigger a manual data synchronization. Confirm that no error logs appear after task completion, verifying that the batch write size and timeout parameters are working as configured.
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.