Runbook

Long running tasks in Apache Airflow

Overview

This incident type refers to a situation where tasks in Apache Airflow take longer to execute than expected, causing delays and potentially impacting the system's performance. This can happen due to various reasons such as a large volume of data, inefficient code, or resource constraints, among others. Identifying and addressing the root cause of this issue is crucial to ensure the smooth functioning of the system and timely completion of tasks.

Parameters

Debug

Check if Airflow workers are running

Check the logs of a worker pod

Check if the worker pod has enough resources

Check if there are any failed tasks

Check the logs of a failed task

Check if there are any pending tasks

Check if there are any issues with the Airflow scheduler

Check the logs of the Airflow scheduler

Check if there are any issues with the Airflow webserver

Check the logs of the Airflow webserver

Repair

Optimize the Airflow DAGs by splitting larger tasks into smaller ones, to reduce the time taken for execution of individual tasks.

Learn more

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