Get Instant Solutions for Kubernetes, Databases, Docker and more
Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows. It is widely used for orchestrating complex computational workflows and data processing pipelines. Airflow allows users to define workflows as Directed Acyclic Graphs (DAGs) using Python, making it highly flexible and extensible.
In a typical Airflow setup, the scheduler is responsible for scheduling tasks and ensuring that they are executed at the right time. The AirflowSchedulerHeartbeatMissed alert indicates that the scheduler has missed sending a heartbeat signal, which is crucial for its operation.
The AirflowSchedulerHeartbeatMissed alert is triggered when the scheduler fails to send a heartbeat signal within a specified interval. This could mean that the scheduler is not running, is stuck, or is experiencing resource constraints.
The scheduler's heartbeat is a vital part of Airflow's operation. It ensures that tasks are scheduled and executed on time. Missing heartbeats can lead to delays in task execution and can affect the overall reliability of your workflows.
Start by examining the scheduler logs to identify any errors or warnings that might indicate why the heartbeat was missed. You can find the logs in the directory specified by the base_log_folder
configuration in your airflow.cfg
file.
tail -f /path/to/airflow/logs/scheduler/latest/scheduler.log
Ensure that the scheduler is running. You can check the status of the scheduler using the following command:
airflow scheduler --status
If the scheduler is not running, start it using:
airflow scheduler
High CPU or memory usage can cause the scheduler to become unresponsive. Use tools like top
or htop
to monitor resource utilization:
top
If resource constraints are identified, consider scaling your resources or optimizing your DAGs.
Ensure that your Airflow configuration settings are optimized for your environment. Pay special attention to the scheduler_heartbeat_sec
setting in airflow.cfg
, which determines the frequency of heartbeat signals.
For more information on configuring and troubleshooting Apache Airflow, consider visiting the following resources:
(Perfect for DevOps & SREs)
(Perfect for DevOps & SREs)