apache-airflow-providers-cncf-kubernetes 2.2.0
0
Provider package apache-airflow-providers-cncf-kubernetes for Apache Airflow
Contents
Provider package apache-airflow-providers-cncf-kubernetes for Apache Airflow
Stars: 24197, Watchers: 24197, Forks: 9806, Open Issues: 936The apache/airflow
repo was created 6 years ago and was last updated an hour ago.
The project is extremely popular with a mindblowing 24197 github stars!
How to Install apache-airflow-providers-cncf-kubernetes
You can install apache-airflow-providers-cncf-kubernetes using pip
pip install apache-airflow-providers-cncf-kubernetes
or add it to a project with poetry
poetry add apache-airflow-providers-cncf-kubernetes
Package Details
- Author
- Apache Software Foundation
- License
- Apache License 2.0
- Homepage
- https://airflow.apache.org/
- PyPi
- https://pypi.org/project/apache-airflow-providers-cncf-kubernetes/
- GitHub Repo
- https://github.com/apache/airflow
Classifiers
- System/Monitoring
Related Packages
Errors
A list of common apache-airflow-providers-cncf-kubernetes errors.
Code Examples
Here are some apache-airflow-providers-cncf-kubernetes
code examples and snippets.
GitHub Issues
The apache-airflow-providers-cncf-kubernetes package as 936 open issues on GitHub
- ExternalTaskSensorAsync: Deferrable ("Async") version of ExternalTaskSensor
- Whenever we see current DAG run and toggle over different views like Tree view and Task Duration, the targeted view gets changed to different time along with a change in DAG run status..
- Deferrable ("Async") Operators are not canceled when DAG is mark failded/success
- Airflow 2.2.3 : "airflow dags trigger" command gets "Calling
DAG.create_dagrun()
without an explicit data interval is deprecated" - Use KubernetesHook to create api client in KubernetesPodOperator
- Rename PodLauncher to PodManager
- Delete pods by default in KubernetesPodOperator
- Clarify docstring for
build_pod_request_obj
- Implement dry_run for KubernetesPodOperator
- Fix template_fields type to have MyPy friendly Sequence type
- Fix Google Mypy Dataproc errors
- Fix Google mlengine MyPy errors
- params concept doc rework
- Fixing MyPy issues inside tests/providers/amazon
- Elasticsearch connection user and password should be optional