What Data Looks Like for This Category
Data sources for chemical raw material investment research include public industry association databases, third-party testing institution reports, and publicly disclosed production and transaction data from enterprises. There are three update frequency categories:
- Spot quotes are updated in real time
- Production capacity and import/export data are updated monthly or quarterly
- Industry policies and safety documents are updated annually or temporarily
Document structure falls into two categories: structured parameter documents, and unstructured research reports and Material Safety Data Sheets (MSDS). Structured fields include CAS registry number, molecular weight, melting point, boiling point, purity, and more. Units follow international standard conventions: molar mass in g/mol, temperature in ℃, transaction price in yuan/ton.
Constraints on Database and Operations
The above data characteristics create multiple constraints for the database and operations link. Structured parameters are numerous and have strict formats. They require databases to support strongly typed field constraints and unique indexes to avoid data format errors and duplicate entries. Unstructured documents have large sizes and frequent updates. They require storage layers to support sharded storage and low-latency writing to adapt to high-frequency uploads of MSDS and research reports. Multi-source heterogeneous data has significant format differences. Operations teams must configure multi-source data preprocessing workflows and unify field mapping rules. Real-time spot quotes require high-frequency writing. Connection pool configurations must adapt to high-concurrency scenarios to avoid connection blocking.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
max_allowed_packet | 64 MB | The combined size of a single entry of chemical raw material structured parameters and unstructured documents typically does not exceed 64 MB, preventing write timeouts |
CONNECTION_POOL_SIZE | 20–30 | The volume of concurrent query and write requests in chemical raw material investment research scenarios is moderate. This range balances resource usage and connection availability |
VECTOR_SEARCH_TOP_K | 10–15 | After sorting the relevance of chemical raw material research reports and parameter documents, the top 10-15 entries cover core investment research reference information, avoiding excessive redundant results |
DATA_SYNC_INTERVAL | 300 seconds | This interval matches the update frequency of monthly production capacity and quarterly import/export data. High-frequency spot quotes can be configured with a separate sync interval of 60 seconds |
INDEX_CAS_NUMBER | Unique Index | CAS number is the unique identifier for chemical raw materials, preventing duplicate entries and data conflicts |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Parsing long MSDS documents typically takes a long time. This duration covers the complete parsing process |
MODEL_CONCURRENCY_LIMIT | 16–24 | Adapts to the hardware carrying capacity of the QWQ 32B model, balancing concurrent requests and inference latency |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume and business rules. Each scenario requires targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Error Scenarios
- Scenario: MongoDB connections report an
ETIMEDOUTerror. Cause: The connection pool timeout threshold was not adjusted for the high-frequency real-time quote write scenario of chemical raw materials, leading to active connection recycling by the database. - Scenario: Executing SQL after entering the pgvector container prompts
column "purity" does not exist. Cause: Table structures were not pre-created according to the structured field specifications for chemical raw materials, leading to missing fields when directly importing data. - Scenario: Local calls to mapped Ollama models return abnormal results. Cause:
MODEL_CONCURRENCY_LIMITwas not configured, and high-concurrency chemical raw material parameter query requests exceed the model's carrying capacity.
How to Confirm Configurations Are Correct
- Perform uniqueness checks on structured fields to confirm no duplicate entries in the CAS number field, with check rules matching the unique identifier specifications for chemical raw materials.
- Initiate write requests at a specified concurrency level, check that database connections have no timeout errors, and that the connection pool configuration matches the concurrency requirements of the current scenario.
- Upload the single largest volume MSDS document, confirm that the parsing and storage processes have no timeouts, and that the timeout threshold matches document parsing time.
- Initiate vector search requests, confirm that the returned results' relevance sorting meets investment research reference needs, and the number of recalled entries matches the business scenario.
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.