airflow.exceptions.AirflowException when running SparkSubmitOperator in Docker - python-3.x

Question

I'm trying to make following build: use Airflow + Apache Spark (in Standalone mode) in Docker.
I have an error when running following code:
with DAG(
dag_id="spark_airflow_dag",
default_args=default_args,
schedule_interval="#once",
) as dag:
transform_2_csv = SparkSubmitOperator(
application="/usr/local/spark/app/transform_2_csv.py",
conn_id="SparkLocal",
task_id="spark_submit_task",
)
(transform_2_csv)
An error in airflow-scheduler:
Traceback (most recent call last):
File "/home/airflow/.local/lib/python3.7/site-packages/airflow/providers/apache/spark/operators/spark_submit.py", line 157, in execute
self._hook.submit(self._application)
File "/home/airflow/.local/lib/python3.7/site-packages/airflow/providers/apache/spark/hooks/spark_submit.py", line 427, in submit
f"Cannot execute: {self._mask_cmd(spark_submit_cmd)}. Error code is: {returncode}."
airflow.exceptions.AirflowException: Cannot execute: spark-submit --master spark://spark:7077 --name arrow-spark /usr/local/spark/app/tranform_2_csv.py. Error code is: -9.
I used airflow-in-docker guide like start point and extend with spark.
I will be grateful if you have the opportunity to basicly check the correctness of the settings:
docker-compose
Dockerfile
After that I created a connection in Airflow UI:
When I run following code in DAG like PythonOperator it works:
import os
from pathlib import Path
from pyspark.sql import SparkSession
path = Path("/opt/airflow")
path_resources = path / "resources"
spark = SparkSession.builder.appName("bel").getOrCreate()
raw_json_dataframe = (
spark.read.format("json")
.option("inferSchema", "true")
.load("/usr/local/spark/resources/July.json")
)
raw_json_dataframe.printSchema()
raw_json_dataframe.write.csv(f"{path_resources}/test.csv")
But when I run same code as file like SparkSubmitOperator with this location it doesnt work
spark
|__app/
|__transform_2_csv.py