What the Data for This Category Looks Like
Data related to industrial park yield rates is sourced from internal property billing systems of parks, monthly revenue submissions from resident enterprises, and public data interfaces of local industrial park management departments. The data is updated monthly with a full dataset for the previous month. It is delivered in structured JSON or CSV format, and includes core fields such as Statistical Cycle (format: YYYY-MM), Park Identifier, Total Leasable Area (unit: square meters), Actual Utilized Area (unit: square meters), Monthly Total Rental Revenue (unit: yuan), and Total Operating Costs (unit: yuan). All fields are clear numerical or identifying text, with no nested complex structures.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
Since industrial park yield data is updated monthly, the polling frequency of HTTP interfaces must match this update cycle. Request frequency should not be set higher than once per month to avoid triggering interface rate limits. Core fields are all standardized numerical or identifying values, so uniform field mapping rules must be configured in external systems to ensure consistent parsing of park data from different sources. Data sources include internal operational systems and external regulatory interfaces, so authentication parameters and request addresses for each corresponding interface must be configured separately to adapt to the docking specifications of different systems. The Statistical Cycle parameter must be passed in requests to obtain accurate data for the specified period and avoid mixing cross-period data. Additionally, field units include square meters and yuan, so unit conversion logic must be configured in external systems to ensure consistency in data display and storage.
How to Configure the Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
HTTP Request Timeout | 600 seconds | The structured data returned by industrial park data interfaces has a moderate volume. 600 seconds covers most normal response durations and prevents request failures due to network fluctuations. |
Request Frequency Limit | 1 time per month | Industrial park yield data is updated monthly. High-frequency requests cannot obtain updated data and may trigger external interface rate limiting. |
Authentication Method | API Key Authentication | Most park operational systems and regulatory interfaces use API key authentication, which adapts to general external system docking specifications. |
Field Mapping Rules | One-to-one matching by field name | The field names of park yield data are standardized. One-to-one mapping ensures data parsing accuracy. |
Cycle Parameter Configuration | Bind to the current statistical month | The Statistical Cycle parameter must be passed to obtain data for the corresponding month and avoid retrieving historical data from non-target periods. |
Request Retry Count | 3 times | To address temporary network fluctuations, 3 retries can improve request success rates without affecting overall workflow. |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- An
Access denied for usererror is returned when debugging database connection nodes. This occurs because API keys or authentication parameters for external interfaces are not correctly configured, resulting in failed interface authentication. - Obtained data fields are empty or do not match the expected structure. This occurs because
Field Mapping Rulesare not configured using standardized field names, preventing matching of target data during parsing. - External interface rate limit errors are triggered. This occurs because the set request frequency is higher than the monthly update cycle of industrial park data, causing the interface to reject subsequent requests.
How to Confirm the Configuration Is Complete
- Manually trigger an HTTP request and check if the returned JSON or CSV data includes core fields such as
Statistical CycleandPark Identifier, and that the field formats match expectations. - Check the external system's interface logs to confirm that authentication parameters for requests have been correctly passed, with no authentication failure records.
- Verify the request frequency settings to ensure they match the update cycle of industrial park data and avoid high-frequency requests triggering rate limiting.
- Validate the field mapping rules to confirm that the numerical values of returned data and the unit settings stored in the external system are consistent, with no conversion errors.
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.