Stop
octopipe stop Command Reference
The octopipe stop command is designed to gracefully halt running pipelines. It provides control over pipeline execution by allowing users to stop individual or all running pipelines when necessary.
Purpose
- Pipeline Shutdown: Safely stops one or multiple pipelines in execution.
- Maintenance and Troubleshooting: Allows you to pause pipelines for configuration changes or debugging purposes.
Usage
Detailed Behavior
• Single Pipeline Stop:
When a specific pipeline name is provided, only that pipeline is stopped.
• Stopping All Pipelines:
If no name is given, the command stops all pipelines currently running.
• Graceful Termination:
Octopipe ensures that ongoing tasks are completed or safely halted before stopping the pipeline.
• Logging:
The command logs the stop action and any issues encountered during the shutdown process.
Examples
Stopping a Specific Pipeline
Stopping All Pipelines
Options and Considerations
• Force Stop:
A future version might include a —force option to immediately terminate pipelines if graceful shutdown is not possible.
• Status Verification:
After stopping, verify the pipeline status with:
• Dependency Check:
Ensure that no critical processes are interrupted during the stop procedure.
Best Practices
• Plan Maintenance:
Schedule stops during off-peak hours if the pipeline is production-critical.
• Monitor Logs:
Immediately check logs after stopping a pipeline to confirm that all processes have halted correctly.
• Use with Caution:
Stopping a pipeline mid-execution may require a restart; plan accordingly.
Troubleshooting
• Pipeline Not Stopping:
Use detailed logs to identify if a particular task is hanging.
• Incomplete Shutdown:
If a pipeline stops partially, investigate dependent services that may be causing delays.
• Force Options:
Consider implementing a manual override if the graceful stop does not complete.
Conclusion
The octopipe stop command is a key tool for managing pipeline execution. It allows you to safely pause or completely halt pipelines as needed, ensuring that your data workflows can be managed effectively during maintenance or troubleshooting.