Database and Operations for Coatings and Inks Research

What this category’s data looks like

Coatings and inks research data mainly comes from upstream chemical raw material supplier quality inspection reports, industry association public standard documents, and downstream application enterprise test feedback. The data update rhythm varies: raw material price data syncs daily, basic performance parameters update quarterly, and customized formula data syncs in real time. A single structured data entry includes raw material identification, inspection batch number, core performance indicators, applicable process parameters and other content. The fields include Raw Material CAS Number, Batch Number, Viscosity, Weather Resistance Rating, Applicable Substrate Type and others. Units include mPa·s, rating identifiers and more. Each structured data set contains between 15 and 20 fields.

What constraints do these characteristics impose on the database and operations link?

The multi-source and multi-update rhythm characteristics of coatings and inks research data require layered storage strategies in database operation configuration, to distinguish storage media for hot and cold data. The multi-field and unit difference characteristics require configuring field indexes and unit conversion rules to ensure retrieval efficiency and data consistency. The semi-structured and associated query requirements require configuring joint indexes and metadata association logic to adapt to cross-retrieval of raw material and application data. The continuous growth of data volume with the launch of new formulas requires configuring data sharding rules to avoid overload on single-node storage and query pressure.

How to set the configurations

Configuration Item	Recommended Setting	Rationale
`DATA_SYNC_INTERVAL`	Configure per scenario: set raw material price sync to `86400 seconds`, formula data sync to `300 seconds`, performance parameter sync to `604800 seconds`	Match the actual update frequency of different data, balance business real-time performance and synchronization resource consumption
`INDEX_FIELD_LIST`	Include `Raw Material CAS Number`, `Batch Number`, `Applicable Substrate Type`	Cover high-frequency retrieval fields, speed up keyword and conditional query efficiency in research scenarios
`STORAGE_TIER_POLICY`	Store hot data on high-performance SSDs, store cold data on archival storage	Differentiate data access frequency, reduce long-term storage costs while ensuring hot data read/write performance
`CONNECTION_POOL_SIZE`	Set to `10–15`	Adapt to single-node concurrent request volume, avoid connection exhaustion or idle resource waste
`DB_CONNECTION_TYPE`	Prioritize MongoDB, PostgreSQL; disable Oracle by default	Adapt to the storage needs of semi-structured and associated queries for coatings and inks; the table structure normalization of Oracle has relatively high adaptation costs
`APP_INFO_DB_NAME`	Set to `app_metadata`	Uniformly store application configuration, permission information and other metadata, facilitating unified operations and permission management

The parameter values provided on this page are all conventional recommendations used to determine the starting point for configurations. Actual values are affected by material form, data volume and business rules. Specific issues require targeted analysis; it is recommended to test on your own samples before finalizing settings.

Three common mistakes

Phenomenon: No Oracle type option appears in the database connection module. Cause: Oracle driver is not integrated, and the cost of adapting semi-structured coatings and inks research data to Oracle table structure normalization is relatively high, so this connection type is disabled by default.
Phenomenon: Failed to connect to MongoDB in a Linux environment, returning Connection refused error code. Cause: Firewall rules for the default MongoDB port 27017 are not opened, or the host address and authentication information in the connection string are configured incorrectly.
Phenomenon: Supporting test report images cannot be returned in search results. Cause: The image retrieval configuration item is not enabled, or the image path stored in the database is not correctly bound to the business logic.

How to confirm the configuration is complete

Run a database connection test, confirm that the selected database type is visible in the connection list, and the connection test returns a success result.
Submit a test structured data entry, verify that the data synchronization task executes on schedule according to the configured DATA_SYNC_INTERVAL, and the data fields pass the preset verification rules.
Initiate a retrieval request containing the Raw Material CAS Number association condition, confirm that the retrieval result can normally return the corresponding fields and associated test report images.
Check the application metadata storage status, confirm that application configuration and permission information have been written to the specified app_metadata database.

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.