What is job retry?

What is job retry and why is it important?

Job retry is a mechanism that automatically repeats a request that has failed. It is particularly useful when there is a chance of success upon retrying, such as for error codes 500 (Internal Server Error) and 503 (Service Unavailable). This mechanism helps in handling temporary external system and network issues, ensuring that transient errors do not cause permanent job failures.

By implementing job retry, systems can improve their reliability and resilience. This is because temporary issues are often resolved without manual intervention, allowing jobs to complete successfully after a few retries.

How does job retry work in AWS Batch?

In AWS Batch, failed jobs can be automatically retried by applying a retry strategy to job definitions and jobs. This means that if a job fails due to reasons other than invalid job definitions, it will be retried according to the specified strategy.

• Retry Strategy: The retry strategy defines the number of attempts and the conditions under which retries should occur. This helps in managing transient errors effectively.
• Job Definitions: Jobs that fail due to invalid job definitions are not retried, ensuring that only valid jobs are subject to the retry mechanism.
• Error Handling: AWS Batch focuses on handling temporary issues, making it a robust solution for job execution in cloud environments.

How does Oracle handle job retries?

In Oracle, the job operation is executed using the stored input when a failed or canceled job execution is retried. This ensures that the job can be rerun without requiring manual reconfiguration or input.

This approach simplifies the retry process and ensures consistency in job execution, as the same input parameters are used for each retry attempt.

What is the job retry mechanism in VMware vSphere?

In VMware vSphere, Veeam Backup & Replication attempts to process failed VMs during a job retry. This ensures that backup jobs can complete successfully even if some VMs fail initially.

The retry mechanism helps in maintaining data integrity and availability by ensuring that all VMs are backed up, even if some require multiple attempts.

How does job retry work in Seven Bridges?

The Seven Bridges platform can automatically retry failed jobs in some cases to avoid task failure. This helps in ensuring that tasks are completed successfully despite transient issues.

• Automatic Retry: The platform automatically retries failed jobs, reducing the need for manual intervention.
• Task Completion: By retrying failed jobs, the platform ensures that tasks are completed successfully, improving overall reliability.
• Error Handling: The retry mechanism focuses on handling temporary issues, making it a robust solution for job execution.

How does dbt Cloud handle job retries?

In dbt Cloud, a job run that completed with an Error status can be rerun from the point of failure or from the start. This flexibility allows users to choose the most appropriate retry strategy based on the nature of the error.

This approach helps in minimizing the time and resources required for job retries, as users can opt to rerun only the failed portions of the job.

What is the job retry mechanism in Rundeck?

In Rundeck, on the next retry execution, only the remaining nodes are targeted if the job ran on multiple nodes and some failed. This ensures that the retry process is efficient and only focuses on the failed nodes.

This approach helps in optimizing resource usage and reducing the time required for job retries, as only the failed nodes are retried.

How does Streamsets handle job retries?

In Streamsets, Data Collector retries the pipeline if it encounters a stage-level error that might cause a standalone pipeline to fail. This ensures that the pipeline can complete successfully despite transient errors.

The retry mechanism helps in maintaining data integrity and ensuring that pipelines can complete successfully even if some stages require multiple attempts.