from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator
from datetime import timedelta,datetime
import pendulum
import pytz

tz = pytz.timezone('Asia/Shanghai')

default_args = {
    'owner': 'Terry',
    'depends_on_past': False,
    'start_date': pendulum.datetime(year=2024, month=7, day=25).astimezone(tz),
    'email': ['tian23.li@tcl.com'],
    'email_on_failure': True,
    'email_on_retry': True,
    'retries': 2,
    'retry_delay': timedelta(minutes=8),
}

_config = {
    'conf': {
        'spark.executor.extraJavaOptions': '-XX:+UseConcMarkSweepGC',
        "spark.dynamicAllocation.minExecutors":8,
        "spark.dynamicAllocation.maxExecutors":8,
        "spark.yarn.executor.memoryOverhead":2648,
        "spark.driver.maxResultSize": "4g",
        "spark.yarn.maxAppAttempts": 1,
        "spark.network.timeout": 1000000,
        "spark.executor.heartbeatInterval" : 1000000
    },
    'executor_cores': 4,
    'executor_memory': '6g',
    'name': '{{ task_instance.task_id }}',
    
    'driver_memory': '6g',
}

dag = DAG(
    dag_id='kill_large_processes',
    description='flow for kill_large_processes',
    default_args=default_args,
    schedule_interval='00 02 * * *',
)

kill_large_processes = BashOperator(
    task_id='kill_large_processes',
    ## 
    bash_command="cd /data/gangyanyuan/scheduled_jobs /data/gangyanyuan/scheduled_jobs/kill-large-processes.sh ",
    dag=dag,
)

kill_large_processes