TobKed commented on a change in pull request #12814:
URL: https://github.com/apache/airflow/pull/12814#discussion_r537583810



##########
File path: airflow/providers/apache/beam/example_dags/example_beam.py
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@@ -0,0 +1,262 @@
+#
+# 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.
+
+"""
+Example Airflow DAG for Apache Beam operators
+"""
+import os
+from urllib.parse import urlparse
+
+from airflow import models
+from airflow.providers.apache.beam.operators.beam import (
+    BeamRunJavaPipelineOperator,
+    BeamRunPythonPipelineOperator,
+)
+from airflow.providers.google.cloud.transfers.gcs_to_local import 
GCSToLocalFilesystemOperator
+from airflow.utils.dates import days_ago
+
+GCS_INPUT = os.environ.get('APACHE_BEAM_PYTHON', 
'gs://apache-beam-samples/shakespeare/kinglear.txt')
+GCS_TMP = os.environ.get('APACHE_BEAM_GCS_TMP', 
'gs://test-dataflow-example/temp/')
+GCS_STAGING = os.environ.get('APACHE_BEAM_GCS_STAGING', 
'gs://test-dataflow-example/staging/')
+GCS_OUTPUT = os.environ.get('APACHE_BEAM_GCS_OUTPUT', 
'gs://test-dataflow-example/output')

Review comment:
       It is not publicly writable location.  This example DAG is used in 
system tests (`tests/providers/apache/beam/operators/test_beam_system.py`) 
which is being run by pytest with flag `--system` e.g. `--system=google` and 
when system test is executed user should provide GCP connection with proper 
permissions to storage and Dataflow resources. Environmental variables with 
resources should be adjusted as well if necessary.




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