Database and Operations for Kitchen and Bath Appliance

What the data for this category looks like

Data primarily comes from official brand technical manuals, e-commerce platform product detail pages, third-party testing institution reports, and supply chain quotation documents. Update frequency fluctuates with new product iterations and compliance standard adjustments, with no fixed cycle. Document formats include structured parameter tables, mixed graphic and text product descriptions, and long-form industry analysis documents. Fields cover rated power, installation dimensions, noise decibels, energy efficiency levels, and more. Common units are watts, millimeters, decibels (A), and years.

Constraints on database and operations work

Large volumes of structured parameters and lack of fixed update cycles require support for dynamic field expansion and incremental synchronization. Mixed storage of long documents and structured data requires compatibility with parsing and indexing across different formats. Data from multiple sources has inconsistent units, such as power labeled as W and kW. Built-in unit conversion rules are needed. Batch data import during new product launches requires support for high-concurrency batch writing and validation. The investment research scenario requires tracing historical parameter versions, so data change logs must be retained. This further increases storage and operational complexity.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_TIMEOUT_SECONDS`	`600 seconds`	Adapt to parsing time requirements for long-form industry documents and multi-page parameter manuals of kitchen and bath appliances, avoid mid-task interruptions
`UPLOAD_FILE_MAX_SIZE`	`1000 MB`	Support batch import of large-volume files including multiple product manuals and annual supply chain reports
`Recall count`	`Top 8-12 entries`	Kitchen and bath appliance investment research primarily relies on single parameter matching. Excessive recall results increase the cost of filtering invalid information
`Similarity threshold`	`0.75-0.85`	Semantic matching for parameter-type information has high precision requirements, avoid recalling low-relevance parameter entries
`MYSQL_CHARSET`	`utf8mb4`	Resolve garbled text issues for Chinese parameter descriptions and product names, compatible with full character set storage
`DB_SYNC_BATCH_SIZE`	`50 entries per batch`	Balance write efficiency and database load for batch synchronization of supply chain data, avoid overloading single requests

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volume, and business rules. Specific issues require case-by-case analysis. Testing on local samples is recommended before finalizing settings.

Three Common Configuration Mistakes

Symptom: Chinese parameters display garbled text after connecting to MySQL, with Incorrect string value errors in logs. Cause: The database connection character set is not configured as utf8mb4, and using the basic character set fails to support full Chinese content storage.
Symptom: Parsing Word format product documents larger than 10MB takes too long, with task status showing timeout. Cause: The PARSE_FILE_TIMEOUT_SECONDS configuration is not adjusted, and the default timeout duration is insufficient to cover the parsing and index building process for long documents.
Symptom: When multiple knowledge base synchronization tasks are initiated simultaneously, some tasks return a 503 Service Unavailable status code. Cause: The number of concurrent requests is not limited based on database connection pool configuration, and single-node database connections are exhausted.

How to Confirm Configurations Are Correct

Upload and parse a single Word document larger than 10MB, confirm the task does not time out, and the parsing result contains complete parameter content.
Import a test dataset containing Chinese parameter descriptions, check that Chinese content stored in the database has no garbled text and can be retrieved normally.
Adjust the number of concurrent requests, initiate batch synchronization tasks, confirm that database connections are not exhausted, and all tasks complete normally.
Initiate a parameter retrieval request, confirm that the number of returned entries matches the configured Recall count, with no obvious redundancy or missing content.

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.