xs2tarunkukreja opened a new issue, #34987:
URL: https://github.com/apache/airflow/issues/34987
### Apache Airflow version
2.7.2
### What happened
Currently I am using -
Python version: 3.8.18
Airflow version: 2.7.1v (on K8S)
When we run SparkKubernetesOperator function with YAML file path, it work
fine. But when we are running the same after reading the YAML file, it fails.
Example -
def load_template_v1():
....
with open(template_path) as pyspark_template_file:
template = yaml.safe_load(pyspark_template_file)
return template
### What you think should happen instead
It should launch Spark Operator successfully.
### How to reproduce
Instead of passing YAML file, pass the content of file.
### Operating System
K8S
### Versions of Apache Airflow Providers
Python version: 3.8.18
Airflow version: 2.7.1
### Deployment
Official Apache Airflow Helm Chart
### Deployment details
HELM
Python version: 3.8.18
Airflow version: 2.7.1
### Anything else
No
### 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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