Here, similar to the previous unit file, is the unit file for rvice: In this case we want to activate the Anaconda environment before starting airflow. Have a look at the documentation to know how this directive needs to formatted.
#Airflow scheduler auto restart full#
The ExecStart= directive defines the full path (!) and arguments of the command that you want to execute. You can find in airflow/scripts/systemd/airflow a template that you can copy. Make sure that this file exists even if there are no variables defined. Here you can define variables like SCHEDULER_RUNS, AIRFLOW_HOME or AIRFLOW_CONFIG. The EnvironmentFile= directive specifies the path to a file with environment variables that can be used by the service. You might notice that the EnvironmentFile= and ExecStart= directives are changed. This unit file needs a user called airflow, but if you want to use it for a different user, change the directives User= and Group= to the desired user. Description = Airflow webserver daemon After = network.target rvice rvice rvice rvice Wants = rvice rvice rvice rvice EnvironmentFile = /home/airflow/airflow.env User = airflow Group = airflow Type = simple ExecStart = /bin/bash -c 'source /home/user/anaconda3/etc/profile.d/conda.sh \Īirflow webserver' Restart = on-failure RestartSec = 5s PrivateTmp = true WantedBy = multi-user.target The unit files shown in this tutorials are working for Apache Airflow installed on an Anaconda virtual environment. You will need to do some changes to those files. If you are not using the distributed task queue by Celery or network authentication with Kerberos you will only need rvice and rvice unit files.
You can find unit files for Apache Airflow in airflow/scripts/systemd, but those are specified for Red Hat Linux systems. This is only scratching the surface, but you will find an extensive tutorial covering systemd units in this article. The section provides the main configuration for the service and finally the section defines what should happen when the unit is enabled. The section is responsible for metadata and describing the relationship to other units. Inside the sections you will find the directives which are defined as key=value pairs. Each unit file consists of sections specified with square brackets and that are case-sensitive. These units can have different categories, but for the sake of this tutorial we will focus only on service units whose files are suffixed with. The configuration of these files follow the INI file format. In systemd, the managed resources are refered as units which are configured with unit files stored in the /lib/systemd/system/ folder. systemctl is responsible for starting, stopping, restarting and checking the status of systemd services and journalctl on the other hand is a tool to explore the logs generated by the systemd units. To interact with systemd, you have a whole suite of command-line tools at your disposal, but for this tutorial you will need only need systemctl and journalctl. It is widely used on most Linux distributions and it simplifies common sysadmin tasks like checking and configuring services, mounted devices and system states. Systemd is an init system, which is the first process (with PID 1) that bootstraps the user space and manages user processes. If you haven’t installed Apache Airflow yet, have a look at this installation guide and the tutorials which should bring you up to speed. This is great if you have big data pipelines with lots of dependencies to take care.
#Airflow scheduler auto restart how to#
In this tutorial you will see how to integrate Airflow with the systemd system and service manager which is available on most Linux systems to help you with monitoring and restarting Airflow on failure.Īpache Airflow goes by the principle of configuration as code which lets you programmatically configure and schedule complex workflows and also monitor them.
Image from Apache Airflow How to Manage Apache Airflow with Systemd on Debian or Ubuntu Table of Contents
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