Database and Operations for Building Construction Project

What Data for This Category Looks Like

Building construction project yield data primarily comes from internal cost management systems, the project accounting module of financial ERP, and phased cost verification reports issued by engineering supervisors. Data is organized by individual under-construction or completed building construction projects, updated in batches on a monthly accounting cycle. Each data entry includes a unique project identifier, construction entity, start and completion milestones, current cost collection items, current repayment receipts, and calculated yield value. Fields cover project attributes, cost details, fund flows, and accounting results. The yield field is stored as a proportional numerical value, with no preset percentage formatting.

What Constraints These Characteristics Impose on Database and Operations Work

Multi-source data access creates a need for cross-system data consistency verification, so scheduled synchronization tasks must be configured to ensure data timeliness. Two-dimensional (project + accounting cycle) query scenarios require the database to establish joint indexes to optimize query performance. Data may require accounting corrections, so a data version tracking mechanism must be enabled to prevent loss of historical data. The periodic batch update mode requires configuring reasonable concurrent scheduling thresholds for operations to avoid excessive database resource usage during synchronization. Additionally, building construction project data has many detailed fields, so the query return range must be strictly controlled to avoid data transmission overload affecting business processes.

How to Configure Settings

Configuration Item	Recommended Setting	Rationale
`dbSyncCron`	`0 0 2 * * ?` (executes daily at 2:00 AM)	Building construction project yield data is updated on a monthly accounting cycle; running during early morning avoids peak business hours
`maxQueryRows`	`200 rows`	Individual project data volume is limited; controlling return rows prevents query overload
`dbConnectionPoolSize`	`8–12`	Concurrent demand from batch synchronization tasks and daily queries is moderate; balances resource usage and concurrency capacity
`dataVersionRetentionDays`	`180 days`	Engineering accounting requires historical data review; retaining versions for six months meets standard review needs
`dbQueryTimeout`	`600 seconds`	Batch data synchronization requires longer query time to avoid mid-process timeout interruptions
`shardByProjectId`	`Enabled`	There are many building construction projects; sharding by project ID optimizes performance for cross-project joint queries

The parameter values provided on this page are standard recommended starting points for configuration. Actual values are affected by material types, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

When calling the database query plugin, a tool_calls related error is returned, and the log contains the 400 Messages with role ' ' field. The cause is that special symbols are included in project names or cost item names for building construction projects, and query parameters are not escaped, leading to non-compliant request formatting.
When calling the database connection in a local deployment environment, there is no output. The cause is that no reasonable value is configured for dbConnectionPoolSize, the connection pool resources are exhausted, and subsequent requests cannot establish a connection without an error prompt.
Query timeouts occur during batch synchronization of yield data. The cause is that dbQueryTimeout is set to an excessively short value that does not match the full query time required for building construction project batch data.

How to Verify Proper Configuration

Execute a single project yield query, verify that the returned field range matches the configured items, and adjust the corresponding configuration to align with business query requirements.
Check the execution records of scheduled synchronization tasks, confirm that the task triggers according to the cycle configured in dbSyncCron, and that data synchronization has no errors.
Initiate concurrent query requests for multiple projects, observe the database connection status, and confirm that the connection pool configuration supports concurrent access.
Trigger a historical data review query, confirm that historical accounting data matching the cycle configured in dataVersionRetentionDays can be retrieved.

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.