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Posted to commits@airflow.apache.org by GitBox <gi...@apache.org> on 2021/11/15 18:44:35 UTC

[GitHub] [airflow] gauravguptabits opened a new issue #19602: Spark Operator not working in Airflow Standalone version 2.2.1

gauravguptabits opened a new issue #19602:
URL: https://github.com/apache/airflow/issues/19602


   ### Apache Airflow version
   
   2.2.1 (latest released)
   
   ### Operating System
   
   Ubuntu
   
   ### Versions of Apache Airflow Providers
   
   Apache Web UI is unable to load the dag file. 
   
   Logs:
   
   ```
   Traceback (most recent call last):
     File "/home/gaurav.gupta/miniconda3/envs/venv_pyspark/lib/python3.7/site-packages/airflow/models/dagbag.py", line 331, in _load_modules_from_file
       loader.exec_module(new_module)
     File "<frozen importlib._bootstrap_external>", line 728, in exec_module
     File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
     File "/home/gaurav.gupta/airflow/dags/prepare_complaint_raw_dataset_dag.py", line 4, in <module>
       from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator
     File "/home/gaurav.gupta/miniconda3/envs/venv_pyspark/lib/python3.7/site-packages/airflow/contrib/operators/spark_submit_operator.py", line 22, in <module>
       from airflow.providers.apache.spark.operators.spark_submit import SparkSubmitOperator  # noqa
   ModuleNotFoundError: No module named 'airflow.providers.apache'
   
   ```
   
   DAG file
   ```
   from datetime import datetime, timedelta
   import pendulum
   from airflow import DAG
   from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator
   from airflow.models import Variable
   
   local_tz = pendulum.timezone("Asia/Kolkata")
   
   default_args = {
       'owner': 'Impressico',
       'depends_on_past': False,
       'start_date': datetime(2021, 11, 15, tzinfo=local_tz),
       'email': ['gaurav.gupta@impressico.com'],
       'email_on_failure': True,
       'email_on_retry': True,
       'retries': 0,
       'retry_delay': timedelta(minutes=5)
   }
   dag = DAG(dag_id='prepare_complaint_raw_dataset',
             default_args=default_args,
             catchup=False,
             schedule_interval="0 * * * *")
   pyspark_app_home = Variable.get("PYSPARK_APP_HOME")
   
   prepare_complaint_raw_dataset = SparkSubmitOperator(task_id='prepare_complaint_raw_dataset',
                                                       conn_id='Spark_Miniconda_Venv_pyspark',
                                                       py_files='jobs.zip,libs.zip',
                                                       application=f'{pyspark_app_home}/dist/main.py',
                                                       total_executor_cores=4,
                                                       name='prepare_complaint_raw_dataset',
                                                       dag=dag)
   
   ```
   
   ### Deployment
   
   Virtualenv installation
   
   ### Deployment details
   
   I have installed via pip in Anaconda environment.
   
   ### What happened
   
   After defining dag file, web ui of airflow is popping up an error. Following the stacktrace it resulted in some import error which has been attached in description
   
   ### What you expected to happen
   
   I was expecting the file to get at least accepted by WEB UI as the definition looks fine. Being newbee to Airflow, I feel there can be configuration issue within the SparkSubmitOperator parameters. 
   
   ### How to reproduce
   
   _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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[GitHub] [airflow] mik-laj commented on issue #19602: Spark Operator not working in Airflow Standalone version 2.2.1

Posted by GitBox <gi...@apache.org>.
mik-laj commented on issue #19602:
URL: https://github.com/apache/airflow/issues/19602#issuecomment-969300202


   To use apache spark operators, you need to install an apache spark provider.  See: http://airflow.apache.org/docs/apache-airflow-providers-apache-spark/stable/index.html and http://airflow.apache.org/docs/apache-airflow/stable/installation/installing-from-pypi.html


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[GitHub] [airflow] boring-cyborg[bot] commented on issue #19602: Spark Operator not working in Airflow Standalone version 2.2.1

Posted by GitBox <gi...@apache.org>.
boring-cyborg[bot] commented on issue #19602:
URL: https://github.com/apache/airflow/issues/19602#issuecomment-969208119


   Thanks for opening your first issue here! Be sure to follow the issue template!
   


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[GitHub] [airflow] mik-laj closed issue #19602: Spark Operator not working in Airflow Standalone version 2.2.1

Posted by GitBox <gi...@apache.org>.
mik-laj closed issue #19602:
URL: https://github.com/apache/airflow/issues/19602


   


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