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How to create a conditional task in Airflow - Stack Overflow Airflow 1 x Airflow has a BranchPythonOperator that can be used to express the branching dependency more directly The docs describe its use: The BranchPythonOperator is much like the PythonOperator except that it expects a python_callable that returns a task_id The task_id returned is followed, and all of the other paths are skipped
python - How to control the parallelism or concurrency of an Airflow . . . Options that are specified across an entire Airflow setup: core parallelism: maximum number of tasks running across an entire Airflow installation; core dag_concurrency: max number of tasks that can be running per DAG (across multiple DAG runs) core non_pooled_task_slot_count: number of task slots allocated to tasks not running in a pool
First time login to Apache Airflow asks for username and password, what . . . user: airflow password: airflow If you want to create another account with docker use this (you have to be in the same folder of the docker-compose yaml file): docker-compose run airflow-worker airflow users create --role Admin --username admin --email admin --firstname admin --lastname admin --password admin
Apache Airflow:Create reusable custom TaskGroup - Stack Overflow airflow exceptions AirflowException: Tried to create relationships between tasks that don't have DAGs yet Set the DAG for at least one task and try again: [<Task(_PythonDecoratedOperator): TestTaskGroup emptyTask>, <Task(_PythonDecoratedOperator): TestTaskGroup pythonTask>]
How to use Dynamic Task Mapping with TaskGroups - airflow In my actual DAG, I need to first get a list of IDs and then for each ID run a set of tasks I have used Dynamic Task Mapping to pass a list to a single task or operator to have it process the list
Refreshing dags without web server restart apache airflow In your airflow cfg, you've these two configurations to control this behavior: # after how much time a new DAGs should be picked up from the filesystem min_file_process_interval = 0 dag_dir_list_interval = 60
Implementing Postgres Sql in Apache Airflow - Stack Overflow CREATE USER airflow; CREATE DATABASE airflow; GRANT ALL PRIVILEGES ON DATABASE airflow TO airflow; Now you are ready to init the airflow application using postgres: airflow initdb If everything was right, access the psql command line again, enter in airflow database with \c airflow command and type \dt command to list all tables of that
CSRF session token is missing in AIRFLOW - Stack Overflow I am using docker for Airflow The docker-compose file below is mostly taken from the airflow official website This works fine on my laptop but when I uploaded to the server, I kept getting error
airflow - Run DAG at specific time each day - Stack Overflow In Airflow the scheduling is calculated by start_date + schedule interval Airflow execute the job at the END of the interval Airflow execute the job at the END of the interval This is consistent with how data pipelines usually works
Why airflow UI shows next run in the past date and time Airflow always showed "Next Run" as yesterday before today's run, and when today's run is done, it will show "Next Run" as today's date For "Last Run", it was always the day before yesterday if today's run is not triggered Once today's run is finished, "Last Run" will be yesterday Changing the start_date of DAG didn't help at all