Source code for tests.system.providers.databricks.example_databricks_repos
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import os
from datetime import datetime
from airflow import DAG
from airflow.providers.databricks.operators.databricks import DatabricksSubmitRunOperator
from airflow.providers.databricks.operators.databricks_repos import (
DatabricksReposCreateOperator,
DatabricksReposDeleteOperator,
DatabricksReposUpdateOperator,
)
[docs]default_args = {
'owner': 'airflow',
'databricks_conn_id': 'databricks',
}
[docs]ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID")
[docs]DAG_ID = "example_databricks_repos_operator"
with DAG(
dag_id=DAG_ID,
schedule_interval='@daily',
start_date=datetime(2021, 1, 1),
default_args=default_args,
tags=['example'],
catchup=False,
) as dag:
# [START howto_operator_databricks_repo_create]
# Example of creating a Databricks Repo
[docs] repo_path = "/Repos/user@domain.com/demo-repo"
git_url = "https://github.com/test/test"
create_repo = DatabricksReposCreateOperator(task_id='create_repo', repo_path=repo_path, git_url=git_url)
# [END howto_operator_databricks_repo_create]
# [START howto_operator_databricks_repo_update]
# Example of updating a Databricks Repo to the latest code
repo_path = "/Repos/user@domain.com/demo-repo"
update_repo = DatabricksReposUpdateOperator(task_id='update_repo', repo_path=repo_path, branch="releases")
# [END howto_operator_databricks_repo_update]
notebook_task_params = {
'new_cluster': {
'spark_version': '9.1.x-scala2.12',
'node_type_id': 'r3.xlarge',
'aws_attributes': {'availability': 'ON_DEMAND'},
'num_workers': 8,
},
'notebook_task': {
'notebook_path': f'{repo_path}/PrepareData',
},
}
notebook_task = DatabricksSubmitRunOperator(task_id='notebook_task', json=notebook_task_params)
# [START howto_operator_databricks_repo_delete]
# Example of deleting a Databricks Repo
repo_path = "/Repos/user@domain.com/demo-repo"
delete_repo = DatabricksReposDeleteOperator(task_id='delete_repo', repo_path=repo_path)
# [END howto_operator_databricks_repo_delete]
(create_repo >> update_repo >> notebook_task >> delete_repo)
from tests.system.utils.watcher import watcher
# This test needs watcher in order to properly mark success/failure
# when "tearDown" task with trigger rule is part of the DAG
list(dag.tasks) >> watcher()
from tests.system.utils import get_test_run # noqa: E402
# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
[docs]test_run = get_test_run(dag)