What the data for this category looks like
Data for this category comes from three main sources: buried point logs in game operator backends, interfaces of third-party game data platforms, and game revenue settlement files connected to financial institutions. Full aggregated data for the previous day is updated at fixed times each day. Some real-time monitoring indicators are refreshed at fixed intervals. Most documents use structured CSV or JSON format. Fields include game unique identifier, statistical date, total in-app purchase revenue, total advertising monetization revenue, number of paying users, average revenue per paying user, and payment conversion rate. Field units follow these rules: total revenue is measured in yuan, average revenue per paying user is measured in yuan per person, number of paying users is measured in persons, and payment conversion rate is a dimensionless value.
What Constraints These Characteristics Impose on the Form and Interaction Link
Diverse data sources require the form to support multi-source data import and HTTP interface docking. Multiple upload entrances and request nodes must be configured to adapt to different data delivery methods of financial institutions and game operators. Update rhythms fall into two categories: daily batch aggregation and real-time refresh. The interaction link must distinguish trigger logic for the two task types to avoid execution conflicts that disrupt daily report timeliness in financial scenarios. Documents use a fixed set of fields. The form must preset basic field mapping rules to reduce manual matching costs and adapt to standard reporting formats of most games. Real-time data’s short refresh intervals require interaction nodes to support high-frequency request verification. Single-task request frequency must be limited to avoid exceeding data interface call quotas and ensure data stability in financial scenarios. Different games use varying naming conventions for reporting fields. The form must support custom field mapping to adapt to each game’s specific format and meet unified data parsing requirements of financial institutions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to conventional file sizes of game revenue reports and buried point logs to prevent import failures |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Meets processing needs for batch parsing of full daily report data to avoid timeouts disrupting daily report broadcasts |
HTTP_REQUEST_RETRY_TIMES | 3 times | Addresses temporary fluctuations in third-party game data interfaces and financial institution settlement interfaces to improve data acquisition success rates |
REQUEST_RATE_LIMIT_PER_MINUTE | 60 times per minute | Matches call quotas of most game data interfaces to avoid triggering current-limiting interception |
FORM_FIELD_MAPPING_AUTO | Enabled | Reduces manual field matching costs and adapts to standard reporting formats of most games |
BATCH_TASK_CONCURRENCY | 2 concurrent tasks | Balances task processing efficiency and system resource usage to avoid interactive response delays affecting financial scenario timeliness |
The parameter values provided on this page are all conventional recommendations used as starting points for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing the settings.
Three Common Configuration Mistakes
- Returning status code 413 after calling an HTTP request node, manifested as failed import of game revenue files. The cause is failure to adjust the
UPLOAD_FILE_MAX_SIZEparameter, with the uploaded settlement file exceeding the platform’s default limit. - Fields required by some financial scenarios being empty after form submission, manifested as missing payment conversion rate or average revenue per paying user in analysis results. The cause is failure to enable
FORM_FIELD_MAPPING_AUTO, with manual mapping omitting unique fields specified by financial institutions. - Being unable to read game revenue data after configuring a MySQL connection, manifested as empty query results. The cause is incorrect configuration of the database connection port and access whitelist, preventing the platform from establishing an effective connection with the financial institution’s database.
How to Confirm Configuration Is Complete
- Upload a single test file that conforms to the game revenue data format, check whether the form automatically matches fields required by financial institutions, and confirm that the
FORM_FIELD_MAPPING_AUTOconfiguration takes effect. - Initiate a single HTTP request to call the game data interface, check whether the returned result format matches financial institution expectations, and confirm that the
REQUEST_RATE_LIMIT_PER_MINUTEconfiguration does not trigger current-limiting interception. - Submit a batch data processing task, observe that the task execution duration does not exceed the
PARSE_FILE_TIMEOUT_SECONDSsetting, and confirm that the timeout configuration adapts to financial scenario daily report timeliness requirements. - Attempt to connect to the configured MySQL database, execute the basic query statement required by financial institutions, and confirm that database connection parameters are correct and access permissions meet compliance 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.