What data for this category looks like
Yield and market data for diversified holdings comes from internal accounting systems of various affiliated business lines and external market APIs. It covers accounting indicators across multiple business formats including securities brokerage, asset management, property insurance, life insurance, and more. Data is updated via batch synchronization at fixed daily times, covering all business data from the previous trading day. Each data document includes fields such as business owning entity code, business line classification, statistical cycle, accounting indicator value, benchmark reference value, data traceability identifier, synchronization timestamp, and others. Accounting indicator values use accounting basis points as the unit, and no percentage-based expressions are used.
Constraints on database and operations workflows
Multi-sector data sources have inconsistent field formats. Configure unified field mapping rules to standardize data. Daily batch sync requirements need scheduled tasks and failure retry mechanisms, to prevent full sync interruptions from individual data anomalies. High-frequency combined queries across multiple business lines need composite indexes to speed up responses. Data volume grows with the number of subsidiaries. Set reasonable storage sharding and archiving rules to avoid performance drops from large single-table data volumes. Cross-system data traceability needs complete data source identifiers. Add a dedicated database field to store traceability information.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_CONNECTION_POOL_SIZE | 20–30 connections | Covers concurrent connection needs for multi-business line batch synchronization, prevents connection exhaustion |
SYNC_TASK_TIMEOUT | 1800 seconds | Adapts to time limits for batch data pulling from multiple sources, prevents mid-task synchronization interruptions |
DATA_SYNC_CRON | 0 19 * * * | Aligns with the 3-hour synchronization window after most securities markets close, ensuring timely daily report data updates |
FIELD_MAPPING_RULES | Pre-set mapping templates per business line | Unifies field format differences across business systems to complete data standardization |
INDEX_COMPOUND_FIELDS | business_line, stat_period, sync_timestamp | Optimizes performance for high-frequency combined queries, reduces response latency |
DATA_ARCHIVE_RETENTION_DAYS | 730 days | Meets industry compliance requirements for data retention, reduces online storage pressure |
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 against your own samples before finalizing settings.
Three Common Mistakes
- Symptom: The Oracle option is not displayed in the database connection configuration interface, making binding of the corresponding data source impossible. Cause: The default integrated database driver does not include Oracle client dependencies. The corresponding driver package must be added manually.
- Symptom: Token consumption values in model call logs differ from third-party API billing statements. Cause: FastGPT token statistics include all structured field content returned by the database, while third-party APIs only count tokens for model-generated replies. The two use different statistical dimensions.
- Symptom: Database query results cannot be output as JPG images in responses. Cause: The default query module only supports return of structured text and numerical data. No parsing and format conversion logic for binary data has been configured.
How to Confirm Successful Configuration
- Trigger a manual data synchronization task. Check the sync logs for no abnormal errors. Confirm data entry matching based on the number of covered subsidiaries.
- Initiate a combined query by business ownership and statistical cycle. Confirm that the query result returns correct fields and values. Confirm field completeness based on business requirements.
- Check database connection pool monitoring metrics. Confirm that active connections do not exceed the configured upper limit. Adjust connection pool thresholds based on system concurrency.
- View data archiving task run records. Confirm that expired data has been transferred to archive storage per rules. Confirm retention period compliance based on regulatory requirements.
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.