def test_exec_failure(self, db_mock_class):
"""
Test the execute function in case where the run failed.
"""
run = {
'notebook_params': NOTEBOOK_PARAMS,
'notebook_task': NOTEBOOK_TASK,
'jar_params': JAR_PARAMS
}
op = DatabricksRunNowOperator(task_id=TASK_ID, job_id=JOB_ID, json=run)
db_mock = db_mock_class.return_value
db_mock.run_now.return_value = 1
db_mock.get_run_state.return_value = RunState('TERMINATED', 'FAILED',
'')
with self.assertRaises(AirflowException):
op.execute(None)
expected = databricks_operator._deep_string_coerce({
'notebook_params': NOTEBOOK_PARAMS,
'notebook_task': NOTEBOOK_TASK,
'jar_params': JAR_PARAMS,
'job_id': JOB_ID
})
db_mock_class.assert_called_once_with(
DEFAULT_CONN_ID,
retry_limit=op.databricks_retry_limit,
retry_delay=op.databricks_retry_delay)
db_mock.run_now.assert_called_once_with(expected)
db_mock.get_run_page_url.assert_called_once_with(RUN_ID)
db_mock.get_run_state.assert_called_once_with(RUN_ID)
self.assertEqual(RUN_ID, op.run_id)
def test_init_with_json(self):
"""
Test the initializer with json data.
"""
json = {
'notebook_params': NOTEBOOK_PARAMS,
'jar_params': JAR_PARAMS,
'python_params': PYTHON_PARAMS,
'spark_submit_params': SPARK_SUBMIT_PARAMS,
'job_id': JOB_ID
}
op = DatabricksRunNowOperator(task_id=TASK_ID, json=json)
expected = databricks_operator._deep_string_coerce({
'notebook_params':
NOTEBOOK_PARAMS,
'jar_params':
JAR_PARAMS,
'python_params':
PYTHON_PARAMS,
'spark_submit_params':
SPARK_SUBMIT_PARAMS,
'job_id':
JOB_ID
})
self.assertDictEqual(expected, op.json)
def test_init_with_merging(self):
"""
Test the initializer when json and other named parameters are both
provided. The named parameters should override top level keys in the
json dict.
"""
override_notebook_params = {'workers': 999}
json = {'notebook_params': NOTEBOOK_PARAMS, 'jar_params': JAR_PARAMS}
op = DatabricksRunNowOperator(task_id=TASK_ID,
json=json,
job_id=JOB_ID,
notebook_params=override_notebook_params,
python_params=PYTHON_PARAMS,
spark_submit_params=SPARK_SUBMIT_PARAMS)
expected = databricks_operator._deep_string_coerce({
'notebook_params':
override_notebook_params,
'jar_params':
JAR_PARAMS,
'python_params':
PYTHON_PARAMS,
'spark_submit_params':
SPARK_SUBMIT_PARAMS,
'job_id':
JOB_ID
})
self.assertDictEqual(expected, op.json)
def test_exec_failure(self, db_mock_class):
"""
Test the execute function in case where the run failed.
"""
run = {
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
}
op = DatabricksSubmitRunOperator(task_id=TASK_ID, json=run)
db_mock = db_mock_class.return_value
db_mock.submit_run.return_value = 1
db_mock.get_run_state.return_value = RunState('TERMINATED', 'FAILED',
'')
with self.assertRaises(AirflowException):
op.execute(None)
expected = databricks_operator._deep_string_coerce({
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
'run_name': TASK_ID,
})
db_mock_class.assert_called_once_with(
DEFAULT_CONN_ID,
retry_limit=op.databricks_retry_limit,
retry_delay=op.databricks_retry_delay)
db_mock.submit_run.assert_called_once_with(expected)
db_mock.get_run_page_url.assert_called_once_with(RUN_ID)
db_mock.get_run_state.assert_called_once_with(RUN_ID)
self.assertEqual(RUN_ID, op.run_id)
def test_exec_success(self, db_mock_class):
"""
Test the execute function in case where the run is successful.
"""
run = {
'notebook_params': NOTEBOOK_PARAMS,
'notebook_task': NOTEBOOK_TASK,
'jar_params': JAR_PARAMS
}
op = DatabricksRunNowOperator(task_id=TASK_ID, job_id=JOB_ID, json=run)
db_mock = db_mock_class.return_value
db_mock.run_now.return_value = 1
db_mock.get_run_state.return_value = RunState('TERMINATED', 'SUCCESS',
'')
op.execute(None)
expected = databricks_operator._deep_string_coerce({
'notebook_params': NOTEBOOK_PARAMS,
'notebook_task': NOTEBOOK_TASK,
'jar_params': JAR_PARAMS,
'job_id': JOB_ID,
})
db_mock_class.assert_called_once_with(
DEFAULT_CONN_ID,
retry_limit=op.databricks_retry_limit,
retry_delay=op.databricks_retry_delay)
db_mock.run_now.assert_called_once_with(expected)
db_mock.get_run_page_url.assert_called_once_with(RUN_ID)
db_mock.get_run_state.assert_called_once_with(RUN_ID)
assert RUN_ID == op.run_id
def test_exec_success(self, db_mock_class):
"""
Test the execute function in case where the run is successful.
"""
run = {
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
}
op = DatabricksSubmitRunOperator(task_id=TASK_ID, json=run)
db_mock = db_mock_class.return_value
db_mock.submit_run.return_value = 1
db_mock.get_run_state.return_value = RunState('TERMINATED', 'SUCCESS',
'')
op.execute(None)
expected = databricks_operator._deep_string_coerce({
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
'run_name': TASK_ID
})
db_mock_class.assert_called_once_with(
DEFAULT_CONN_ID,
retry_limit=op.databricks_retry_limit,
retry_delay=op.databricks_retry_delay)
db_mock.submit_run.assert_called_once_with(expected)
db_mock.get_run_page_url.assert_called_once_with(RUN_ID)
db_mock.get_run_state.assert_called_once_with(RUN_ID)
assert RUN_ID == op.run_id
def test_init_with_named_parameters(self):
"""
Test the initializer with the named parameters.
"""
op = DatabricksRunNowOperator(job_id=JOB_ID, task_id=TASK_ID)
expected = databricks_operator._deep_string_coerce({'job_id': 42})
self.assertDictEqual(expected, op.json)
def test_init_with_specified_run_name(self):
"""
Test the initializer with a specified run_name.
"""
json = {'new_cluster': NEW_CLUSTER, 'notebook_task': NOTEBOOK_TASK, 'run_name': RUN_NAME}
op = DatabricksSubmitRunOperator(task_id=TASK_ID, json=json)
expected = databricks_operator._deep_string_coerce(
{'new_cluster': NEW_CLUSTER, 'notebook_task': NOTEBOOK_TASK, 'run_name': RUN_NAME}
)
self.assertDictEqual(expected, op.json)
def test_init_with_spark_python_task_named_parameters(self):
"""
Test the initializer with the named parameters.
"""
op = DatabricksSubmitRunOperator(
task_id=TASK_ID, new_cluster=NEW_CLUSTER, spark_python_task=SPARK_PYTHON_TASK
)
expected = databricks_operator._deep_string_coerce(
{'new_cluster': NEW_CLUSTER, 'spark_python_task': SPARK_PYTHON_TASK, 'run_name': TASK_ID}
)
self.assertDictEqual(expected, op.json)
def test_init_with_json(self):
"""
Test the initializer with json data.
"""
json = {'new_cluster': NEW_CLUSTER, 'notebook_task': NOTEBOOK_TASK}
op = DatabricksSubmitRunOperator(task_id=TASK_ID, json=json)
expected = databricks_operator._deep_string_coerce({
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
'run_name': TASK_ID
})
assert expected == op.json
def test_init_with_named_parameters(self):
"""
Test the initializer with the named parameters.
"""
op = DatabricksSubmitRunOperator(task_id=TASK_ID,
new_cluster=NEW_CLUSTER,
notebook_task=NOTEBOOK_TASK)
expected = databricks_operator._deep_string_coerce({
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
'run_name': TASK_ID
})
self.assertDictEqual(expected, op.json)
def test_init_with_templating(self):
json = {
'new_cluster': NEW_CLUSTER,
'notebook_task': TEMPLATED_NOTEBOOK_TASK,
}
dag = DAG('test', start_date=datetime.now())
op = DatabricksSubmitRunOperator(dag=dag, task_id=TASK_ID, json=json)
op.render_template_fields(context={'ds': DATE})
expected = databricks_operator._deep_string_coerce({
'new_cluster': NEW_CLUSTER,
'notebook_task': RENDERED_TEMPLATED_NOTEBOOK_TASK,
'run_name': TASK_ID,
})
self.assertDictEqual(expected, op.json)
def test_init_with_templating(self):
json = {'notebook_params': NOTEBOOK_PARAMS, 'jar_params': TEMPLATED_JAR_PARAMS}
dag = DAG('test', start_date=datetime.now())
op = DatabricksRunNowOperator(dag=dag, task_id=TASK_ID, job_id=JOB_ID, json=json)
op.render_template_fields(context={'ds': DATE})
expected = databricks_operator._deep_string_coerce(
{
'notebook_params': NOTEBOOK_PARAMS,
'jar_params': RENDERED_TEMPLATED_JAR_PARAMS,
'job_id': JOB_ID,
}
)
self.assertDictEqual(expected, op.json)
def test_deep_string_coerce(self):
test_json = {
'test_int': 1,
'test_float': 1.0,
'test_dict': {'key': 'value'},
'test_list': [1, 1.0, 'a', 'b'],
'test_tuple': (1, 1.0, 'a', 'b'),
}
expected = {
'test_int': '1',
'test_float': '1.0',
'test_dict': {'key': 'value'},
'test_list': ['1', '1.0', 'a', 'b'],
'test_tuple': ['1', '1.0', 'a', 'b'],
}
self.assertDictEqual(databricks_operator._deep_string_coerce(test_json), expected)
def test_init_with_merging(self):
"""
Test the initializer when json and other named parameters are both
provided. The named parameters should override top level keys in the
json dict.
"""
override_new_cluster = {'workers': 999}
json = {
'new_cluster': NEW_CLUSTER,
'notebook_task': NOTEBOOK_TASK,
}
op = DatabricksSubmitRunOperator(task_id=TASK_ID,
json=json,
new_cluster=override_new_cluster)
expected = databricks_operator._deep_string_coerce({
'new_cluster': override_new_cluster,
'notebook_task': NOTEBOOK_TASK,
'run_name': TASK_ID,
})
self.assertDictEqual(expected, op.json)
