What this category of data looks like
Profitability and market trend data for brand agency services is primarily sourced from brand partners’ e-commerce transaction backends, marketing campaign management tools, and customer relationship management systems. Full daily reports covering the previous day are generated at a fixed time each day. Each data document is grouped by brand accounts under the agency service, and includes fields such as agency account identifier, brand name, advertising channel category, daily impressions, engagement count, converted order count, average revenue per customer, and channel return on investment. Units: impressions are measured in counts, engagement count in counts, converted order count in orders, average revenue per customer in yuan, and channel return on investment is a unitless ratio.
Constraints imposed on database and operations
The fixed-time daily full data update requires configuring scheduled data pull tasks, and compatibility with rate limiting rules across multiple external data sources. The brand-grouped data structure requires creating a composite index on agency account and date in the database, to improve query efficiency for historical data of a single brand. Minor differences across multi-channel fields require configuring standardized mapping rules, to prevent field mismatch errors during data ingestion. The full update feature requires partitioning data storage by date, to avoid mixing old and new data. Data isolation across multiple accounts demands configuring fine-grained access control rules, to ensure each agency entity can only access data for its assigned brands. Additionally, monitor the success rate of data pulling and ingestion, to ensure the timeliness of daily report data.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOCAL_DB_ENABLED | false | Local deployment scenarios require direct requests to external service interfaces, no local database storage needs to be enabled |
MAX_CONCURRENT_SESSIONS | 120–180 | For daily report query and broadcast scenarios for brand agencies, this concurrency range balances resource usage and service response speed |
DATA_SYNC_CRON | 0 0 2 * * ? | Triggers data pulling and ingestion for the previous day at 2 AM daily, aligning with the business schedule of daily report generation |
EXTERNAL_API_TIMEOUT | 25 seconds | The average response delay of multi-channel external interfaces falls within the 10-20 second range, preventing task failures caused by timeouts |
DB_DATE_PARTITION | Enabled | Store daily report data with date-based partitioning to simplify historical data archiving and query operations |
AUTO_DB_MIGRATION | Enabled | Automatically synchronize database table structures during version upgrades to ensure data compatibility across versions |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test with your own samples before finalizing settings.
Three common configuration mistakes
- Scenario: After upgrading from v4.9.13 to v4.10.1, the displayed knowledge base content is empty. Cause: The
AUTO_DB_MIGRATIONconfiguration item is not enabled, and database table structure changes are not automatically synchronized, resulting in mismatched data fields between old and new versions. - Scenario: External data interface calls return status code 429. Cause: Reasonable concurrency limits and timeout settings are not configured, exceeding the rate limiting rules of external channel interfaces.
- Scenario: The number of daily report query results for a single brand is insufficient. Cause: A composite index on agency account and date is not created, resulting in failure to accurately match target brand data for the current day during queries.
How to confirm configurations are correctly applied
- Run a local test to confirm that external data interfaces can be called normally when the local database is not enabled, with no connection error alerts.
- Check scheduled task execution logs to confirm that data pulling and ingestion processes are triggered at the specified time each day, with no failure alerts.
- Perform a version upgrade operation to confirm that the database table structure is automatically synchronized after startup, with no field mismatch errors.
- Send multiple concurrent query requests to confirm that service resource usage falls within a reasonable range, with no obvious blocking conditions.
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.