Deployment and Upgrade for Game Financing Daily Reports

Game financing daily report data comes primarily from domestic venture capital databases, publicly disclosed financing announcements from game

What the Data for This Category Looks Like

Game financing daily report data comes primarily from domestic venture capital databases, publicly disclosed financing announcements from game manufacturers, and track monitoring information from third-party game industry data institutions. Updates run at a fixed daily time window, covering all game track financing disclosures from the previous calendar day. Each document includes fields such as full name of the financing party, financing amount, financing round, investor institutions, financing disclosure date, core game products, and affiliated track. Financing amounts use RMB or USD as pricing units. The core game products field marks the main in-development or launched game category of the financing party.

Constraints Imposed on Deployment and Upgrade

The characteristics of game financing daily report data impose multiple specific constraints on deployment and upgrade workflows. First, data sources are scattered across multiple platforms, so multi-source pull and verification rules must be configured to avoid data omission or duplication. Second, updates follow a fixed daily pull schedule, so a scheduled task trigger cycle must be matched to automatically pull the previous day’s financing data each day. Third, the data includes non-standard fields such as core game products and affiliated track, so custom field mapping rules must be configured to support business retrieval needs. Fourth, financing amounts use two currency units, so automatic currency conversion logic must be configured to unify display formats. Fifth, single-day data volume fluctuates widely, so adaptive resource scheduling parameters must be configured to handle sudden increased load.

Configuration Settings

Configuration ItemRecommended SettingRationale
SCHEDULE_CRON0 2 * * *Matches the daily update schedule of financing daily reports, completes previous day’s data pull during off-peak business hours
PARSE_FILE_TIMEOUT_SECONDS300 secondsSingle financing daily report document includes multiple fields such as segmented tracks and core products, so parsing time exceeds that of standard documents
FIELD_MAPPING_RULESCalibrated based on actual testingGame financing data includes non-standard fields, requiring custom mapping to fit business requirements
CURRENCY_CONVERT_ENABLEEnabledFinancing data uses both RMB and USD pricing units, requiring unified units for retrieval and display
DUPLICATE_RECORD_THRESHOLDPrevious 7 daysGame financing projects may be disclosed across multiple platforms, setting a 7-day verification window to prevent accidental deletion of valid data
MONGO_CONNECTION_POOL_SIZE20–30Single-day financing data volume fluctuates widely, adapting to storage and retrieval pressure for incremental data

The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Phenomenon: A 408 Request Timeout error occurs when pulling financing data. Cause: The PARSE_FILE_TIMEOUT_SECONDS parameter was not adjusted, and single document parsing time exceeded the default threshold.
  • Phenomenon: A MongoDB connection failure error appears after local deployment starts. Cause: The MONGO_CONNECTION_STRING parameter was not configured correctly, or the MongoDB service did not open the corresponding port permissions.
  • Phenomenon: Duplicate financing records appear in search results. Cause: The DUPLICATE_RECORD_THRESHOLD parameter was not set, and duplicate data verification logic was not enabled.

How to Confirm Successful Configuration

  • Run a manually triggered scheduled pull task, verify that the pulled financing data covers all disclosure information from the previous calendar day.
  • View the parsed field list, confirm that custom business fields such as core game products and affiliated track are included.
  • Test searching for financing records of a specific game manufacturer, confirm that results have no duplicates and pricing units are unified.
  • View deployment logs, confirm that there are no error messages such as MongoDB connection timeout or document parsing timeout.

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.