xs2tarunkukreja opened a new issue, #35395:
URL: https://github.com/apache/airflow/issues/35395
### Apache Airflow version
2.7.2
### What happened
I am using following code to launch PySpark Job:-
t1 = SparkKubernetesOperator(
task_id='env-check',
namespace="spark-operator",
application_file='pipeline.yaml',
do_xcom_push=True,
dag=dag,
)
t2 = SparkKubernetesSensor(
task_id='env_app_monitor',
namespace="spark-operator",
attach_log=True,
application_name="{{
task_instance.xcom_pull(task_ids='env-check')['metadata']['name'] }}",
dag=dag,
)
When I launched it first time, it works fine but on future run, it is
failing.
### What you think should happen instead
It should run PySpark Job in all future runs.
### How to reproduce
Just run a Spark Application twice.
### Operating System
K8S
### Versions of Apache Airflow Providers
2.7.2
### Deployment
Official Apache Airflow Helm Chart
### Deployment details
_No response_
### Anything else
_No response_
### Are you willing to submit PR?
- [ ] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
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