What the data for this category looks like
Data related to industrial park yield rates comes from three sources: the park's own operation management system, the local industrial park supervision platform, and listed rental data from surrounding commercial real estate agencies. Data is updated once daily, with full compilation of the previous day's data completed in the early morning. The data is provided in a structured format, including fields such as park unique identifier, total number of settled enterprises, total actual rental revenue for the day, total receivable rental revenue for the day, average rent per household, vacant building area, regional comparable average rent, number of newly settled households on the day, and number of moved-out households on the day. Rental-related fields use yuan/square meter·day as the unit. Building area fields use square meters as the unit. Quantity fields use integers as the unit.
What constraints do these characteristics impose on deployment and upgrade
The requirement for multi-source data collection means multi-data source connection rules must be configured during deployment. It is also necessary to verify the format consistency of park unique identifiers across different sources to avoid data misalignment. The fixed daily update schedule requires scheduled tasks to be configured to avoid peak business hours. Upgrade operations must be run outside the update window to prevent interruptions to data compilation. The multi-field linked attributes require data validation rules to be configured during deployment to filter abnormal values. High-precision rental data requires appropriate cleaning thresholds to be configured, ensuring data precision meets operational requirements. The structured output format requires template rules matching the broadcast scenario to be configured. Data access confidentiality requires corresponding access control policies to be configured.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_LIST | ["erp_system", "industrial_park_admin", "commercial_agency"] | Matches the multi-source collection requirements for industrial park yield data |
SCHEDULE_CRON_EXPRESSION | 0 2 0 * * ? | Executes the previous day's data compilation at 0:02 daily, avoiding peak business hours |
DATA_VALIDATION_RULES | {"empty_area": {"max": "total_building_area"}, "rent_per_sqm": {"min": "regional_rent_mean * 0.5"}} | Filters abnormal vacant area and rental values to avoid data errors |
OUTPUT_FORMAT | json | Adapts to the structured output requirements for automated daily report broadcasts |
PARSE_DATA_TIMEOUT | 300 seconds | Adapts to the processing duration of multi-source data compilation to avoid task interruptions |
ACCESS_CONTROL | internal_only | Meets the confidentiality requirements for industrial park operation data |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by data format, data 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 mistakes
- Issue: After sharing the daily report via a login-free window in an overseas deployment version, park yield data cannot be retrieved normally. Cause: No cross-regional data access whitelist is configured, causing overseas nodes to fail to pull park operation data sources deployed domestically.
- Issue: After the scheduled task starts during the daily update period, the status shows timeout failure. Cause: The configured
PARSE_DATA_TIMEOUTvalue is shorter than the actual processing duration of multi-source data compilation, causing the task to be forcibly terminated. - Issue: Abnormal fields where vacant building area exceeds total building area appear in the generated daily report. Cause: The
DATA_VALIDATION_RULESconfiguration is not enabled, and no filtering and verification are performed for abnormal values.
How to confirm the configuration is complete
- Manually trigger a data compilation task, check the task log to confirm that all configured data sources have successfully pulled data.
- Check the generated daily report document to confirm that all configured fields have been correctly filled with no abnormal values.
- Configure a test to trigger the scheduled task, confirm that the task will execute automatically according to the preset time rules.
- Verify the access control rules, confirm that unauthorized accounts cannot access the generated daily report content.
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.