What the Data for This Category Looks Like
Data sources for IT service yield and market daily reports include internal operation and maintenance monitoring systems, business transaction logs, and third-party operation and maintenance service APIs. There are two data update rhythms: Full daily report data is generated within 2 hours after the end of each business trading day. Real-time operation indicators are updated every 5 minutes. Documents use structured JSON or CSV format. Fields include service unique identifier, cumulative running duration, average single request latency, number of abnormal requests, daily configuration change records, and more. Units are none, hours, milliseconds, times, and none, respectively. Data must align strictly with business trading cycles to avoid cross-cycle data mixing.
What Constraints These Characteristics Impose on Deployment and Upgrade
Multi-source data pulling requires independent data source authentication and whitelist rules during deployment. This prevents unauthorized data source access. Data with different update rhythms requires separate deployment of scheduled full synchronization tasks and real-time stream pulling services. Scheduled task trigger cycles must strictly match the end time of business trading days. Real-time stream services must reserve independent ports to avoid port conflicts. Large-volume operation and maintenance log documents require sufficient file parsing timeout and upload size limit configurations. This prevents parsing interruptions. The archiving requirement for daily change records requires an independent log storage path during upgrades. This avoids historical data loss. For containerized deployment scenarios, adapt to concurrency limits for operation data pulling. This prevents resource exhaustion.
How to Set Configuration Values
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
UPLOAD_FILE_MAX_SIZE | 800–1200 MB | Adapts to the large file requirement of IT service daily reports containing multi-day archived logs |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Prevents timeout interruptions during parsing of large-volume operation and maintenance logs |
CRON_SYNC_FULL_DATA | "0 15 15 * * *" | Matches the business cycle where full daily report data is generated 1.5 hours after trading day close |
ULIMIT_NOFILE | 1024:1024 | Resolves the EMFILE: too many open files error during Docker deployment or build |
REALTIME_DATA_PORT | 8082 | Reserves an independent port for real-time operation data pulling to avoid conflicts with other business ports |
MAX_RETRY_ATTEMPTS | 3 | Balances the success rate of operation data pulling and resource consumption |
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. Specific issues require case-by-case analysis. Testing on local deployment samples is recommended before finalizing configuration settings.
Three Common Mistakes
- Symptom: The
EMFILE: too many open fileserror occurs during Docker deployment or build for version v4.8.21-fix. Cause: Insufficient file handle limits are configured, resulting in excessive file resource usage during operation and maintenance log parsing. - Symptom: Real-time market data cannot be recalled normally after integrating the indexing model. Cause: No port whitelist for real-time data pulling is configured, preventing the model from accessing operation and maintenance data sources.
- Symptom: Fields in parsing results are missing or truncated when importing IT service daily reports in text format. Cause: Default segment length is not adjusted, causing long log texts to be overly split or truncated, leading to loss of critical operation and maintenance data.
How to Confirm Correct Configuration
- Check container runtime logs to confirm there are no permission errors or timeout errors for data pulling tasks. Verify that data source identifiers in logs match the configured whitelist.
- Manually trigger a full data synchronization task to check if generated documents include preset service operation and maintenance fields.
- Test the real-time data pulling interface to confirm returned indicator data format matches the business definition.
- Import a single test log, adjust segment parameters, and verify the completeness of parsing results.
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.