/
test_spark_submit_operator.py
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/
test_spark_submit_operator.py
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# -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
#
import unittest
from airflow import DAG, configuration
from airflow.models import TaskInstance
from airflow.contrib.operators.spark_submit_operator import SparkSubmitOperator
from airflow.utils import timezone
from datetime import timedelta
DEFAULT_DATE = timezone.datetime(2017, 1, 1)
class TestSparkSubmitOperator(unittest.TestCase):
_config = {
'conf': {
'parquet.compression': 'SNAPPY'
},
'files': 'hive-site.xml',
'py_files': 'sample_library.py',
'driver_classpath': 'parquet.jar',
'jars': 'parquet.jar',
'packages': 'com.databricks:spark-avro_2.11:3.2.0',
'exclude_packages': 'org.bad.dependency:1.0.0',
'repositories': 'http://myrepo.org',
'total_executor_cores': 4,
'executor_cores': 4,
'executor_memory': '22g',
'keytab': 'privileged_user.keytab',
'principal': 'user/spark@airflow.org',
'name': '{{ task_instance.task_id }}',
'num_executors': 10,
'verbose': True,
'application': 'test_application.py',
'driver_memory': '3g',
'java_class': 'com.foo.bar.AppMain',
'application_args': [
'-f', 'foo',
'--bar', 'bar',
'--start', '{{ macros.ds_add(ds, -1)}}',
'--end', '{{ ds }}',
'--with-spaces', 'args should keep embdedded spaces',
]
}
def setUp(self):
configuration.load_test_config()
args = {
'owner': 'airflow',
'start_date': DEFAULT_DATE
}
self.dag = DAG('test_dag_id', default_args=args)
def test_execute(self):
# Given / When
conn_id = 'spark_default'
operator = SparkSubmitOperator(
task_id='spark_submit_job',
dag=self.dag,
**self._config
)
# Then
expected_dict = {
'conf': {
'parquet.compression': 'SNAPPY'
},
'files': 'hive-site.xml',
'py_files': 'sample_library.py',
'driver_classpath': 'parquet.jar',
'jars': 'parquet.jar',
'packages': 'com.databricks:spark-avro_2.11:3.2.0',
'exclude_packages': 'org.bad.dependency:1.0.0',
'repositories': 'http://myrepo.org',
'total_executor_cores': 4,
'executor_cores': 4,
'executor_memory': '22g',
'keytab': 'privileged_user.keytab',
'principal': 'user/spark@airflow.org',
'name': '{{ task_instance.task_id }}',
'num_executors': 10,
'verbose': True,
'application': 'test_application.py',
'driver_memory': '3g',
'java_class': 'com.foo.bar.AppMain',
'application_args': [
'-f', 'foo',
'--bar', 'bar',
'--start', '{{ macros.ds_add(ds, -1)}}',
'--end', '{{ ds }}',
'--with-spaces', 'args should keep embdedded spaces',
]
}
self.assertEqual(conn_id, operator._conn_id)
self.assertEqual(expected_dict['application'], operator._application)
self.assertEqual(expected_dict['conf'], operator._conf)
self.assertEqual(expected_dict['files'], operator._files)
self.assertEqual(expected_dict['py_files'], operator._py_files)
self.assertEqual(expected_dict['driver_classpath'], operator._driver_classpath)
self.assertEqual(expected_dict['jars'], operator._jars)
self.assertEqual(expected_dict['packages'], operator._packages)
self.assertEqual(expected_dict['exclude_packages'], operator._exclude_packages)
self.assertEqual(expected_dict['repositories'], operator._repositories)
self.assertEqual(expected_dict['total_executor_cores'],
operator._total_executor_cores)
self.assertEqual(expected_dict['executor_cores'], operator._executor_cores)
self.assertEqual(expected_dict['executor_memory'], operator._executor_memory)
self.assertEqual(expected_dict['keytab'], operator._keytab)
self.assertEqual(expected_dict['principal'], operator._principal)
self.assertEqual(expected_dict['name'], operator._name)
self.assertEqual(expected_dict['num_executors'], operator._num_executors)
self.assertEqual(expected_dict['verbose'], operator._verbose)
self.assertEqual(expected_dict['java_class'], operator._java_class)
self.assertEqual(expected_dict['driver_memory'], operator._driver_memory)
self.assertEqual(expected_dict['application_args'], operator._application_args)
def test_render_template(self):
# Given
operator = SparkSubmitOperator(task_id='spark_submit_job',
dag=self.dag, **self._config)
ti = TaskInstance(operator, DEFAULT_DATE)
# When
ti.render_templates()
# Then
expected_application_args = [u'-f', 'foo',
u'--bar', 'bar',
u'--start', (DEFAULT_DATE - timedelta(days=1))
.strftime("%Y-%m-%d"),
u'--end', DEFAULT_DATE.strftime("%Y-%m-%d"),
u'--with-spaces',
u'args should keep embdedded spaces',
]
expected_name = "spark_submit_job"
self.assertListEqual(expected_application_args,
getattr(operator, '_application_args'))
self.assertEqual(expected_name, getattr(operator, '_name'))
if __name__ == '__main__':
unittest.main()