Start
octopipe start Command Reference
The octopipe start command is used to launch one or more pipelines. This command initiates the execution process, triggering the tasks scheduled by Octopipe.
Purpose
- Pipeline Execution: Start pipelines either individually or all at once.
- Automation Trigger: Initiate scheduled tasks and ensure that pipelines begin processing data immediately.
Usage
Detailed Behavior
• Single Pipeline Execution:
When a pipeline name is provided, only that pipeline is started.
• Starting All Pipelines:
If no pipeline name is specified, the command will attempt to start all pipelines configured in your environment.
• Interaction with Scheduler:
Starting a pipeline interacts with Airflow’s scheduling system to kick off the appropriate tasks.
• Logging:
Upon start, initial log entries are generated to help you verify that the pipeline has been launched successfully.
Examples
Starting a Specific Pipeline
Starting All Pipelines
Options and Considerations
• Verbose Mode:
Use —verbose for detailed output during startup, which is useful for debugging startup issues.
• Dependency Checks:
The command verifies that all dependencies (such as data sources and transformation scripts) are in place before starting the pipeline.
• Error Handling:
If a pipeline fails to start, the system provides error messages indicating potential misconfigurations.
Best Practices
• Pre-Start Verification:
Always review your pipeline configuration with the list command before starting.
• Monitor Logs:
Immediately monitor the logs after starting a pipeline to catch any early errors.
• Staged Rollout:
Start pipelines one at a time in production environments to minimize the impact of potential errors.
Troubleshooting
• Startup Failures:
Check if all dependent services are running and accessible.
• Log Inspection:
Use octopipe logs [pipeline_name] —follow to monitor for startup errors.
• Configuration Mismatches:
Ensure that pipeline configurations have been updated and saved properly before starting.
Conclusion
The octopipe start command is essential for initiating the data flow in your pipelines. By following best practices and monitoring the startup process, you can ensure that your pipelines begin executing smoothly and reliably.