Learn which Apache Airflow log type a data engineer should use to diagnose workflow failures when running data pipelines with Amazon Managed Workflows for Apache Airflow (MWAA). Discover the key differences between WebServer, Scheduler, DAGProcessing, and Task logs.
Table of Contents
Question
A data engineer uses Amazon Managed Workflows for Apache Airflow (Amazon MWAA) to run data pipelines in an AWS account.
A workflow recently failed to run. The data engineer needs to use Apache Airflow logs to diagnose the failure of the workflow.
Which log type should the data engineer use to diagnose the cause of the failure?
A. YourEnvironmentName-WebServer
B. YourEnvironmentName-Scheduler
C. YourEnvironmentName-DAGProcessing
D. YourEnvironmentName-Task
Answer
The correct log type the data engineer should use to diagnose the cause of the workflow failure in Amazon MWAA is:
D. YourEnvironmentName-Task
Explanation
When a workflow fails to run in Amazon MWAA, the task logs (YourEnvironmentName-Task) are the most relevant for diagnosing the issue. Task logs contain detailed information about the execution of individual tasks within the workflow, including any error messages or stack traces that can help pinpoint the cause of the failure.
Here’s a brief overview of the different log types in Apache Airflow:
- WebServer logs (YourEnvironmentName-WebServer): These logs record information related to the Airflow web server, such as HTTP requests and responses. They are less relevant for diagnosing workflow failures.
- Scheduler logs (YourEnvironmentName-Scheduler): These logs record information about the Airflow scheduler, which is responsible for triggering tasks and managing the task execution pool. While scheduler logs can provide some insights, they are not the primary source for diagnosing individual task failures.
- DAGProcessing logs (YourEnvironmentName-DAGProcessing): These logs record information about the processing of DAG (Directed Acyclic Graph) files, such as parsing and loading DAGs into the Airflow database. They are not directly related to the execution of individual tasks.
- Task logs (YourEnvironmentName-Task): These logs record detailed information about the execution of individual tasks within a workflow, including any error messages, stack traces, and task-specific logs. They are the most relevant for diagnosing workflow failures.
In summary, when a data engineer needs to diagnose the cause of a workflow failure in Amazon MWAA, they should focus on the task logs (YourEnvironmentName-Task) to find detailed information about the specific task(s) that failed and any associated error messages or stack traces.
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