What this category's data looks like
Data related to railway and highway yield rates comes primarily from the Ministry of Transport Road Network Monitoring Platform, railway bureau group operation statistics systems, and anonymized national highway network toll datasets. Full statistical data for the previous calendar day is updated daily. Aggregated data for cross-regional routes has a maximum delay of 2 hours. Data is stored in structured JSON or CSV format. Each record corresponds to one independent railway line or highway section, and includes fields such as line ID, line type, statistical period, passenger and freight turnover volume, unit operating cost, total operating revenue, and regional code. Units: passenger and freight turnover volume is measured in hundred thousand ton-kilometers. Unit operating cost and total operating revenue are measured in ten thousand yuan. All fields use standardized statistical dimensions, with no custom extension items.
Constraints for Database and Operations Workflows
Multiple heterogeneous data sources require pre-configured cross-system field mapping and format unification to avoid data format conflicts during synchronization. The fixed daily update schedule requires scheduled synchronization tasks, plus supplementary recording logic for delayed data. This ensures delayed cross-regional route data is not missed. The total data volume includes thousands of railway lines and tens of thousands of highway sections across the country. The database must create a joint index for line_id and stat_date to improve query efficiency for specific lines and time ranges. High data accuracy requirements mean data validation scripts must be configured to verify the logical match between total operating revenue, turnover volume, and unit cost. Storage expansion plans must also be reserved to address annual growth in historical data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
db_sync_cron | 0 1 * * * | Matches full synchronization at 1 AM daily, adapts to the daily update rhythm of railway and highway data, and avoids occupying resources during business peak hours |
db_increment_sync_threshold | 120 minutes | Adapts to the maximum 2-hour delay scenario for cross-regional route data, triggers incremental supplementary recording tasks to avoid data omission |
db_joint_index_fields | ["line_id", "stat_date"] | Creates a joint index for frequently queried line and time dimensions to improve query response speed |
data_validate_script_timeout | 300 seconds | Reserves sufficient time to complete logical verification of multi-source data, avoiding interruption of synchronization tasks due to verification timeout |
db_connection_pool_size | 20–30 | Balances average daily thousands of query requests and server resource usage, avoiding connection overflow |
retention_days | 730 days | Retains 2 years of historical data to meet compliance and long-term analysis needs |
The parameter values provided on this page are common recommended starting points for determining configuration baselines. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: Chinese line names and regional names display garbled characters after connecting to MySQL, even after adjusting all character set configurations. Cause: The
utf8mb4character set is not specified in the database connection configuration, and Chinese encoding is incorrectly converted during synchronization, leading to garbled characters. - Phenomenon: After the scheduled synchronization task runs, the number of records in the query results is less than the total number of records from the data source, and data for some cross-regional routes is not synchronized. Cause: No delayed threshold is configured for incremental synchronization, only full synchronization logic is executed, and delayed cross-regional aggregated data is not processed, leading to omissions.
- Phenomenon: The generated SQL query statement reports an error
1064 You have an error in your SQL syntaxand cannot return valid data. Cause: No quotation marks are added to wrap line names in the generated SQL statements, triggering syntax parsing errors when line names contain spaces or special characters.
How to Confirm Proper Configuration
- Run a manual full synchronization task, and verify that the number of database records after synchronization matches the total number provided by the data source.
- Check the database index list to confirm that the joint index for
line_idandstat_datehas been successfully created. - Insert a test record containing a Chinese line name, then run a query to confirm that Chinese content displays normally without garbled characters.
- Simulate concurrent query requests from multiple users, observe the database connection pool usage, and confirm that no connection overflow errors occur.
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.