What the Data for This Category Looks Like
Building construction project yield-related data primarily comes from cost management systems, construction progress ledger databases, and regional building material quotation platforms. Data updates follow a monthly sync rhythm, aligned with the accounting cycle for current construction progress payments. Each data document includes fields such as project unique identifier, engineering sub-item name, construction area, current completed project volume, unit project volume cost, cumulative invested funds, current revenue forecast, and more. Field units cover physical measurement and valuation units such as yuan, square meter, cubic meter, ten thousand yuan, and others.
Constraints Imposed on Workflow Orchestration by These Characteristics
The monthly update rhythm of building construction project data requires workflow trigger cycles to strictly match monthly accounting nodes. This avoids frequent execution that causes resource waste. The multi-sub-item, multi-field structure requires workflow data cleaning links to add field verification logic. It must distinguish between physical measurement and valuation units to prevent calculation confusion. Data sources from multiple systems require workflow configuration of cross-database data association steps. These steps use project unique identifiers to complete data alignment. The volume and entry scale of individual data documents require workflow batch processing modules to set reasonable sharding thresholds. This avoids timeouts during single execution.
Configuration Settings
| Configuration Item | Recommended Value | Rationale for This Value |
|---|---|---|
workflow_trigger_cron | 0 0 2 1 * ? | Matches the lag window of monthly accounting, ensuring complete construction and cost data from the previous month is retrieved |
database_batch_fetch_size | 5000 records | Adapts to the single-table entry scale of building construction project ledgers, avoiding system timeout limits triggered by single-time data pulls |
data_cleaning_field_check | Enabled | Building construction project data includes multiple types of unit fields. Unit consistency must be verified to ensure calculation accuracy |
workflow_timeout_seconds | 1800 seconds | Reserves sufficient time to process large-volume sub-item engineering data and cross-database association operations |
cross_db_join_mode | Inner join | Only retains valid data matched to project unique identifiers, excluding invalid redundant entries |
log_output_destination | System log center + custom storage | Retains output logs from code running modules to facilitate subsequent troubleshooting |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material forms, data volume, and business rules. Specific issues require individual analysis. Testing on local samples is recommended before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: A
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000error occurs when connecting to an MSSQL database. Cause: Database access whitelist is not configured, or the database instance name entered in the workflow does not match the actual deployed name. - Phenomenon:
console.loglogs from code running modules cannot be viewed in the interface console. Cause: The detailed log collection switch for the workflow is not enabled. Logs are only output to the system background log center. - Phenomenon: Execution timeout occurs when processing 100,000-level building construction project ledger data. Cause: No sharding threshold is set for database batch pulls. Single-time full data pulls exceed system processing limits.
How to Verify Proper Configuration
- View the workflow's scheduled trigger logs to confirm that trigger nodes align with the monthly accounting cycle.
- Run a single test execution to verify that the data pull link successfully retrieves core fields such as project identifiers, project volume, and costs.
- Log in to the system log management interface to confirm that output logs from code running modules are properly retained.
- Extract a single test data record to verify that the yield calculation result generated by the workflow matches the manually calculated result.
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.