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Cron Expression: Every Day at 4:15 PM (15 16 * * *)

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Cron Expression: Every Day at 4:15 PM (15 16 * * *)

The cron expression 15 16 * * * executes a task every day at 4:15 PM (16:15), making it ideal for late afternoon operations, pre-end-of-day tasks, and data processing before business day closure.

Expression Breakdown

bash
15 16 * * *
│  │  │ │ │
│  │  │ │ └─── Day of week: * (every day)
│  │  │ └───── Month: * (every month)
│  │  └─────── Day of month: * (every day)
│  └────────── Hour: 16 (at hour 16, 4:00 PM)
└───────────── Minute: 15 (at minute 15)

Field Values

FieldValueMeaning
Minute15At minute 15
Hour16At hour 16 (4:00 PM)
Day of Month*Every day (1-31)
Month*Every month (1-12)
Day of Week*Every day of week (0-7)

Execution Time

This expression runs once per day at:

  • 16:15 (4:15 PM)

Common Use Cases

1. Pre-End-of-Day Processing

bash
15 16 * * * /usr/bin/python3 /scripts/pre-end-of-day-processing.py

Process data or prepare reports before end-of-day operations.

2. Afternoon Reports

bash
15 16 * * * /usr/bin/python3 /scripts/generate-afternoon-report.py

Generate afternoon reports or status updates.

3. Data Synchronization

bash
15 16 * * * /usr/bin/python3 /scripts/sync-afternoon-data.py

Sync data from external systems or APIs in the late afternoon.

4. Cache Refresh

bash
15 16 * * * /usr/bin/python3 /scripts/refresh-afternoon-cache.py

Refresh cached data or computed values for evening operations.

Example Implementations

Pre-End-of-Day Processing Script

python
# pre-end-of-day-processing.py
from datetime import datetime
import sqlite3

def pre_end_of_day_processing():
    conn = sqlite3.connect('/var/data/app.db')
    cursor = conn.cursor()
    
    # Prepare data for end-of-day reports
    cursor.execute('''
        INSERT INTO end_of_day_prep (date, prepared_at, status)
        VALUES (DATE('now'), ?, 'prepared')
        ON CONFLICT(date) DO UPDATE SET
            prepared_at = ?,
            status = 'prepared'
    ''', (datetime.now(), datetime.now()))
    
    # Aggregate afternoon metrics
    cursor.execute('''
        UPDATE daily_metrics
        SET afternoon_total = (
            SELECT COUNT(*) FROM transactions
            WHERE DATE(created_at) = DATE('now')
            AND HOUR(created_at) >= 12 AND HOUR(created_at) < 16
        ),
        updated_at = ?
        WHERE date = DATE('now')
    ''', (datetime.now(),))
    
    conn.commit()
    conn.close()
    
    print(f"{datetime.now()}: Pre-end-of-day processing completed")

if __name__ == '__main__':
    pre_end_of_day_processing()

Best Practices

  1. Timing: 4:15 PM allows time before typical 5-6 PM business day end
  2. Error Handling: Implement comprehensive error handling and logging
  3. Locking: Use file locks to prevent concurrent execution
  4. Monitoring: Set up alerts for failed jobs
  5. Coordination: Ensure tasks complete before end-of-day operations

When to Use

Good for:

  • Pre-end-of-day processing
  • Afternoon reports
  • Data synchronization
  • Cache refresh
  • Late afternoon maintenance

Avoid for:

  • Real-time critical operations
  • Very long-running processes

Related Patterns

PatternExpressionDescription
Daily at noon0 12 * * *Midday
Daily at 4:15 PM15 16 * * *Late afternoon
Daily at 6 PM0 18 * * *End of business day

Conclusion

The 15 16 * * * expression is perfect for late afternoon operations. It's commonly used for pre-end-of-day processing, afternoon reports, and tasks that should complete before business day closure, providing a buffer before end-of-day operations begin.

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