Database and Operations for Cosmetics Profit Margins

Data Characteristics for Cosmetics Profit Margins

Data related to cosmetics profit margins comes from official brand supply systems, mainstream e-commerce platform SKU price APIs, and offline retail POS terminal data. Retail unit prices are updated daily. Supply unit prices are updated every 7 to 15 days. Raw material cost data is updated weekly. Each data record contains: SKU unique identifier, product name, brand name, statistical date, supply unit price, retail unit price, promotional activity flag, and raw material cost unit price. The unit for all price fields is yuan, with measurements based on piece, gram, or milliliter corresponding to the product.

Constraints on Database and Operations

Multi-source data integration must adapt to rate limits of different platforms. Configure concurrent request controls to prevent interface blocking. Differences in update frequencies require batch scheduling of data synchronization tasks. This avoids overusing database connections and CPU resources during peak hours. Unit price fields with varying units must be uniformly mapped and stored. This prevents calculation errors in subsequent processing. The number of SKUs grows as product lines expand. Plan reasonable sharding strategies or optimize high-frequency field indexes. Add extra logic for cross-source data consistency checks to ensure data accuracy.

How to Set Configurations

Configuration Item	Recommended Value	Rationale
`BATCH_INSERT_SIZE`	`500-1000 records per batch`	Cosmetics data volume per batch is moderate. This avoids database table locking caused by too large a single insert, and balances insertion efficiency and stability
`PARSE_DATA_TIMEOUT`	`300 seconds`	Multi-source data parsing involves cross-platform API calls. This reserves sufficient timeout time to handle API response delays
`DB_INDEX_FIELDS`	`["sku_id", "stat_date", "supply_price"]`	These three fields are high-frequency query conditions. Creating indexes on them greatly speeds up range queries and exact matches
`CONCURRENT_WORKERS`	`8-12`	Matches the CPU core count of most servers. This avoids exhausting the database connection pool from too many concurrent requests
`STORAGE_REPLICA_COUNT`	`2`	Ensures data availability. At least two replicas can handle single-node failures
`MONGO_VERSION`	`5.0.25`	Fixes known security vulnerabilities in version 5.0.18, and is compatible with existing business logic

The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Each scenario requires specific analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

An ETIMEDOUT error occurs during batch node execution. This happens because the CONCURRENT_WORKERS parameter was not adjusted, and excessive concurrency exhausts the database connection pool.
Vectorized result storage fails, with MongoConnectionError displayed in logs. This occurs because the security-vulnerable mongo:5.0.18 version is being used, and no upgrade to a compatible version was completed.
The number of query results does not match the actual imported data. This happens because DB_INDEX_FIELDS was configured incorrectly, and no index was created on stat_date, leading to inefficient range queries and incomplete data returns.

How to Confirm Configuration Correctness

View database connection logs to confirm there are no frequent connection timeouts or rejection errors, and check that the connection count matches the CONCURRENT_WORKERS setting.
Run a batch insertion test task to verify that the number of records inserted per batch conforms to the BATCH_INSERT_SIZE configuration, and confirm the data synchronization success rate.
Compare the field mapping results of multi-source data to confirm that the high-frequency query fields listed in DB_INDEX_FIELDS have been correctly indexed.
Check the running version of MongoDB to confirm that the version is higher than 5.0.18, and that no known security-vulnerable versions are active.

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.