What the data for this category looks like
Oil and gas extraction revenue yield daily report data comes from production operation ledgers of oil and gas extraction enterprises, oil and gas spot trading data from domestic energy trading centers, and third-party public oil and gas industry datasets. Data is synchronized daily at midnight with full records from the previous calendar day. Some real-time trading price data updates hourly, but the daily report uses the day’s closing price as the benchmark. Documents use a structured format, with each record corresponding to a single operating unit or production well. Fields include operating unit code, daily extraction volume, unit extraction cost, daily average sales price, total revenue, total cost, and others. Corresponding units are cubic meters, yuan per cubic meter, yuan per ton, ten thousand yuan, ten thousand yuan, respectively.
What constraints these characteristics impose on deployment and upgrade
Multi-source data access requires configuring multi-source data pull nodes during deployment and completing cross-source data field alignment. Otherwise, revenue yield calculation deviations will occur. The daily T+1 update schedule requires fixed scheduled task execution cycles matching the natural day cycle. This avoids frequent pulls wasting system resources or delaying broadcast timeliness. The strong correspondence between fields and units requires the data parsing module to strictly match configured mapping rules. Mixing units will directly cause errors in business indicator calculations. Some oil and gas extraction scenarios require offline ledger uploads. Deployment and upgrade phases must support offline data import configurations. Otherwise, full business processes cannot be covered. The number of records in a single daily report covers multiple wells or blocks. Batch processing scale must match server performance, otherwise parsing timeouts will occur.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_SOURCE_SYNC_INTERVAL | 86400 seconds | Matches the daily update schedule of oil and gas extraction revenue yield daily reports, avoids frequent pulls occupying system resources |
SCHEDULER_CRON | 0 2 * * * | Selects 2 AM as task execution time to avoid business peaks, ensures previous day’s data is pulled and calculated completely |
PARSE_FIELD_MAPPING | Map according to operating unit code, daily extraction volume, unit cost, average sales price, total revenue | Corresponds to standard structured fields of oil and gas extraction daily reports, ensures accurate association of business indicators during data parsing |
MAX_BATCH_PARSE_SIZE | 500 records/batch | Adapts to the conventional record count range of a single daily report, avoids single parsing timeouts |
OFFLINE_DATA_IMPORT_ENABLED | Enabled | Supports upload requirements for offline oil and gas extraction ledgers, covers full business access scenarios |
REPORT_GENERATE_TIMEOUT | 300 seconds | Reserves sufficient time for batch processing revenue yield calculations across multiple operating units, avoids task interruptions |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Symptom: After offline deployment, attempts to pull oil and gas data return a
403 Forbiddenstatus code. Cause: No local offline data source access whitelist was added in the deployment configuration, causing requests to be blocked. - Symptom: The
daily_total_profitfield in the generated revenue yield daily report is empty. Cause: The field mapping relationship in the data parsing configuration does not match the actual field names of the data source, and the total revenue field was not correctly associated. - Symptom: Scheduled daily report generation tasks delay beyond the preset cycle, and
task timeouterrors appear in system logs. Cause: TheMAX_BATCH_PARSE_SIZEconfiguration value is too large, and the number of records parsed in a single batch exceeds the server’s processing capacity, leading to timeouts.
How to verify a completed configuration
- Manually trigger a data pull task, and check whether the pulled data source fields match the configured mapping relationship.
- Check the system scheduled task logs to confirm that tasks start and complete normally according to the preset execution cycle.
- Import an offline-format oil and gas extraction daily report sample, and check the completeness of parsed fields and unit matching.
- Sample check the calculation results of core indicators for single records, and confirm they match the calculation results from business logic.
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.