apache · potiuk · May 4, 2021 · May 4, 2021
diff --git a/airflow/providers/amazon/aws/example_dags/example_glacier_to_gcs.py b/airflow/providers/amazon/aws/example_dags/example_glacier_to_gcs.py
@@ -23,7 +23,7 @@
 from airflow.utils.dates import days_ago
 
 VAULT_NAME = "airflow"
-BUCKET_NAME = os.environ.get("GLACIER_GCS_BUCKET_NAME", "gs://glacier_bucket")
+BUCKET_NAME = os.environ.get("GLACIER_GCS_BUCKET_NAME", "gs://INVALID BUCKET NAME")
 OBJECT_NAME = os.environ.get("GLACIER_OBJECT", "example-text.txt")
 
 with models.DAG(

diff --git a/airflow/providers/apache/beam/example_dags/example_beam.py b/airflow/providers/apache/beam/example_dags/example_beam.py
@@ -34,29 +34,29 @@
 from airflow.utils.dates import days_ago
 
 GCP_PROJECT_ID = os.environ.get('GCP_PROJECT_ID', 'example-project')
-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')
-GCS_PYTHON = os.environ.get('APACHE_BEAM_PYTHON', 'gs://test-dataflow-example/wordcount_debugging.py')
+GCS_INPUT = os.environ.get('APACHE_BEAM_PYTHON', 'gs://INVALID BUCKET NAME/shakespeare/kinglear.txt')
+GCS_TMP = os.environ.get('APACHE_BEAM_GCS_TMP', 'gs://INVALID BUCKET NAME/temp/')
+GCS_STAGING = os.environ.get('APACHE_BEAM_GCS_STAGING', 'gs://INVALID BUCKET NAME/staging/')
+GCS_OUTPUT = os.environ.get('APACHE_BEAM_GCS_OUTPUT', 'gs://INVALID BUCKET NAME/output')
+GCS_PYTHON = os.environ.get('APACHE_BEAM_PYTHON', 'gs://INVALID BUCKET NAME/wordcount_debugging.py')
 GCS_PYTHON_DATAFLOW_ASYNC = os.environ.get(
-    'APACHE_BEAM_PYTHON_DATAFLOW_ASYNC', 'gs://test-dataflow-example/wordcount_debugging.py'
+    'APACHE_BEAM_PYTHON_DATAFLOW_ASYNC', 'gs://INVALID BUCKET NAME/wordcount_debugging.py'
 )
 
 GCS_JAR_DIRECT_RUNNER = os.environ.get(
     'APACHE_BEAM_DIRECT_RUNNER_JAR',
-    'gs://test-dataflow-example/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-DirectRunner.jar',
+    'gs://INVALID BUCKET NAME/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-DirectRunner.jar',
 )
 GCS_JAR_DATAFLOW_RUNNER = os.environ.get(
-    'APACHE_BEAM_DATAFLOW_RUNNER_JAR', 'gs://test-dataflow-example/word-count-beam-bundled-0.1.jar'
+    'APACHE_BEAM_DATAFLOW_RUNNER_JAR', 'gs://INVALID BUCKET NAME/word-count-beam-bundled-0.1.jar'
 )
 GCS_JAR_SPARK_RUNNER = os.environ.get(
     'APACHE_BEAM_SPARK_RUNNER_JAR',
-    'gs://test-dataflow-example/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-SparkRunner.jar',
+    'gs://INVALID BUCKET NAME/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-SparkRunner.jar',
 )
 GCS_JAR_FLINK_RUNNER = os.environ.get(
     'APACHE_BEAM_FLINK_RUNNER_JAR',
-    'gs://test-dataflow-example/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-FlinkRunner.jar',
+    'gs://INVALID BUCKET NAME/tests/dataflow-templates-bundled-java=11-beam-v2.25.0-FlinkRunner.jar',
 )
 
 GCS_JAR_DIRECT_RUNNER_PARTS = urlparse(GCS_JAR_DIRECT_RUNNER)

diff --git a/airflow/providers/google/ads/example_dags/example_ads.py b/airflow/providers/google/ads/example_dags/example_ads.py
@@ -27,7 +27,7 @@
 
 # [START howto_google_ads_env_variables]
 CLIENT_IDS = ["1111111111", "2222222222"]
-BUCKET = os.environ.get("GOOGLE_ADS_BUCKET", "gs://test-google-ads-bucket")
+BUCKET = os.environ.get("GOOGLE_ADS_BUCKET", "gs://INVALID BUCKET NAME")
 GCS_OBJ_PATH = "folder_name/google-ads-api-results.csv"
 GCS_ACCOUNTS_CSV = "folder_name/accounts.csv"
 QUERY = """

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_nl_text_classification.py b/airflow/providers/google/cloud/example_dags/example_automl_nl_text_classification.py
@@ -34,7 +34,7 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_TEXT_CLS_BUCKET = os.environ.get("GCP_AUTOML_TEXT_CLS_BUCKET", "gs://")
+GCP_AUTOML_TEXT_CLS_BUCKET = os.environ.get("GCP_AUTOML_TEXT_CLS_BUCKET", "gs://INVALID BUCKET NAME")
 
 # Example values
 DATASET_ID = ""

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_nl_text_extraction.py b/airflow/providers/google/cloud/example_dags/example_automl_nl_text_extraction.py
@@ -34,7 +34,9 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_TEXT_BUCKET = os.environ.get("GCP_AUTOML_TEXT_BUCKET", "gs://cloud-ml-data/NL-entity/dataset.csv")
+GCP_AUTOML_TEXT_BUCKET = os.environ.get(
+    "GCP_AUTOML_TEXT_BUCKET", "gs://INVALID BUCKET NAME/NL-entity/dataset.csv"
+)
 
 # Example values
 DATASET_ID = ""

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_nl_text_sentiment.py b/airflow/providers/google/cloud/example_dags/example_automl_nl_text_sentiment.py
@@ -34,7 +34,7 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_SENTIMENT_BUCKET = os.environ.get("GCP_AUTOML_SENTIMENT_BUCKET", "gs://")
+GCP_AUTOML_SENTIMENT_BUCKET = os.environ.get("GCP_AUTOML_SENTIMENT_BUCKET", "gs://INVALID BUCKET NAME")
 
 # Example values
 DATASET_ID = ""

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_tables.py b/airflow/providers/google/cloud/example_dags/example_automl_tables.py
@@ -45,7 +45,7 @@
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
 GCP_AUTOML_DATASET_BUCKET = os.environ.get(
-    "GCP_AUTOML_DATASET_BUCKET", "gs://cloud-ml-tables-data/bank-marketing.csv"
+    "GCP_AUTOML_DATASET_BUCKET", "gs://INVALID BUCKET NAME/bank-marketing.csv"
 )
 TARGET = os.environ.get("GCP_AUTOML_TARGET", "Deposit")
 

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_translation.py b/airflow/providers/google/cloud/example_dags/example_automl_translation.py
@@ -34,7 +34,9 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_TRANSLATION_BUCKET = os.environ.get("GCP_AUTOML_TRANSLATION_BUCKET", "gs://project-vcm/file")
+GCP_AUTOML_TRANSLATION_BUCKET = os.environ.get(
+    "GCP_AUTOML_TRANSLATION_BUCKET", "gs://INVALID BUCKET NAME/file"
+)
 
 # Example values
 DATASET_ID = "TRL123456789"

diff --git a/...w/providers/google/cloud/example_dags/example_automl_video_intelligence_classification.py b/...w/providers/google/cloud/example_dags/example_automl_video_intelligence_classification.py
@@ -35,7 +35,7 @@
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
 GCP_AUTOML_VIDEO_BUCKET = os.environ.get(
-    "GCP_AUTOML_VIDEO_BUCKET", "gs://automl-video-demo-data/hmdb_split1.csv"
+    "GCP_AUTOML_VIDEO_BUCKET", "gs://INVALID BUCKET NAME/hmdb_split1.csv"
 )
 
 # Example values

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_video_intelligence_tracking.py b/airflow/providers/google/cloud/example_dags/example_automl_video_intelligence_tracking.py
@@ -36,7 +36,7 @@
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
 GCP_AUTOML_TRACKING_BUCKET = os.environ.get(
     "GCP_AUTOML_TRACKING_BUCKET",
-    "gs://automl-video-datasets/youtube_8m_videos_animal_tiny.csv",
+    "gs://INVALID BUCKET NAME/youtube_8m_videos_animal_tiny.csv",
 )
 
 # Example values

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_vision_classification.py b/airflow/providers/google/cloud/example_dags/example_automl_vision_classification.py
@@ -34,7 +34,7 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
-GCP_AUTOML_VISION_BUCKET = os.environ.get("GCP_AUTOML_VISION_BUCKET", "gs://your-bucket")
+GCP_AUTOML_VISION_BUCKET = os.environ.get("GCP_AUTOML_VISION_BUCKET", "gs://INVALID BUCKET NAME")
 
 # Example values
 DATASET_ID = "ICN123455678"

diff --git a/airflow/providers/google/cloud/example_dags/example_automl_vision_object_detection.py b/airflow/providers/google/cloud/example_dags/example_automl_vision_object_detection.py
@@ -35,7 +35,7 @@
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "your-project-id")
 GCP_AUTOML_LOCATION = os.environ.get("GCP_AUTOML_LOCATION", "us-central1")
 GCP_AUTOML_DETECTION_BUCKET = os.environ.get(
-    "GCP_AUTOML_DETECTION_BUCKET", "gs://cloud-ml-data/img/openimage/csv/salads_ml_use.csv"
+    "GCP_AUTOML_DETECTION_BUCKET", "gs://INVALID BUCKET NAME/img/openimage/csv/salads_ml_use.csv"
 )
 
 # Example values

diff --git a/airflow/providers/google/cloud/example_dags/example_azure_fileshare_to_gcs.py b/airflow/providers/google/cloud/example_dags/example_azure_fileshare_to_gcs.py
@@ -20,7 +20,7 @@
 from airflow import DAG
 from airflow.providers.google.cloud.transfers.azure_fileshare_to_gcs import AzureFileShareToGCSOperator
 
-DEST_GCS_BUCKET = os.environ.get('GCP_GCS_BUCKET', 'gs://test-gcs-example-bucket')
+DEST_GCS_BUCKET = os.environ.get('GCP_GCS_BUCKET', 'gs://INVALID BUCKET NAME')
 AZURE_SHARE_NAME = os.environ.get('AZURE_SHARE_NAME', 'test-azure-share')
 AZURE_DIRECTORY_NAME = "test-azure-dir"
 

diff --git a/airflow/providers/google/cloud/example_dags/example_bigquery_dts.py b/airflow/providers/google/cloud/example_dags/example_bigquery_dts.py
@@ -32,7 +32,7 @@
 from airflow.utils.dates import days_ago
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-BUCKET_URI = os.environ.get("GCP_DTS_BUCKET_URI", "gs://cloud-ml-tables-data/bank-marketing.csv")
+BUCKET_URI = os.environ.get("GCP_DTS_BUCKET_URI", "gs://INVALID BUCKET NAME/bank-marketing.csv")
 GCP_DTS_BQ_DATASET = os.environ.get("GCP_DTS_BQ_DATASET", "test_dts")
 GCP_DTS_BQ_TABLE = os.environ.get("GCP_DTS_BQ_TABLE", "GCS_Test")
 

diff --git a/airflow/providers/google/cloud/example_dags/example_bigquery_operations.py b/airflow/providers/google/cloud/example_dags/example_bigquery_operations.py
@@ -47,7 +47,7 @@
 LOCATION_DATASET_NAME = f"{DATASET_NAME}_location"
 DATA_SAMPLE_GCS_URL = os.environ.get(
     "GCP_BIGQUERY_DATA_GCS_URL",
-    "gs://cloud-samples-data/bigquery/us-states/us-states.csv",
+    "gs://INVALID BUCKET NAME/bigquery/us-states/us-states.csv",
 )
 
 DATA_SAMPLE_GCS_URL_PARTS = urlparse(DATA_SAMPLE_GCS_URL)

diff --git a/airflow/providers/google/cloud/example_dags/example_bigquery_to_gcs.py b/airflow/providers/google/cloud/example_dags/example_bigquery_to_gcs.py
@@ -32,7 +32,7 @@
 
 PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
 DATASET_NAME = os.environ.get("GCP_BIGQUERY_DATASET_NAME", "test_dataset_transfer")
-DATA_EXPORT_BUCKET_NAME = os.environ.get("GCP_BIGQUERY_EXPORT_BUCKET_NAME", "test-bigquery-gcs-data")
+DATA_EXPORT_BUCKET_NAME = os.environ.get("GCP_BIGQUERY_EXPORT_BUCKET_NAME", "INVALID BUCKET NAME")
 TABLE = "table_42"
 
 with models.DAG(

diff --git a/airflow/providers/google/cloud/example_dags/example_bigquery_transfer.py b/airflow/providers/google/cloud/example_dags/example_bigquery_transfer.py
@@ -33,7 +33,7 @@
 
 PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
 DATASET_NAME = os.environ.get("GCP_BIGQUERY_DATASET_NAME", "test_dataset_transfer")
-DATA_EXPORT_BUCKET_NAME = os.environ.get("GCP_BIGQUERY_EXPORT_BUCKET_NAME", "test-bigquery-sample-data")
+DATA_EXPORT_BUCKET_NAME = os.environ.get("GCP_BIGQUERY_EXPORT_BUCKET_NAME", "INVALID BUCKET NAME")
 ORIGIN = "origin"
 TARGET = "target"
 

diff --git a/airflow/providers/google/cloud/example_dags/example_cloud_build.py b/airflow/providers/google/cloud/example_dags/example_cloud_build.py
@@ -40,7 +40,7 @@
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
 
-GCP_SOURCE_ARCHIVE_URL = os.environ.get("GCP_CLOUD_BUILD_ARCHIVE_URL", "gs://example-bucket/file")
+GCP_SOURCE_ARCHIVE_URL = os.environ.get("GCP_CLOUD_BUILD_ARCHIVE_URL", "gs://INVALID BUCKET NAME/file")
 GCP_SOURCE_REPOSITORY_NAME = os.environ.get("GCP_CLOUD_BUILD_REPOSITORY_NAME", "repository-name")
 
 GCP_SOURCE_ARCHIVE_URL_PARTS = urlparse(GCP_SOURCE_ARCHIVE_URL)

diff --git a/airflow/providers/google/cloud/example_dags/example_cloud_memorystore.py b/airflow/providers/google/cloud/example_dags/example_cloud_memorystore.py
@@ -63,7 +63,7 @@
     "GCP_MEMORYSTORE_MEMCACHED_INSTANCE_NAME", "test-memorystore-memcached-1"
 )
 
-BUCKET_NAME = os.environ.get("GCP_MEMORYSTORE_BUCKET", "test-memorystore-bucket")
+BUCKET_NAME = os.environ.get("GCP_MEMORYSTORE_BUCKET", "INVALID BUCKET NAME")
 EXPORT_GCS_URL = f"gs://{BUCKET_NAME}/my-export.rdb"
 
 # [START howto_operator_instance]

diff --git a/airflow/providers/google/cloud/example_dags/example_cloud_sql.py b/airflow/providers/google/cloud/example_dags/example_cloud_sql.py
@@ -52,8 +52,8 @@
 INSTANCE_NAME2 = os.environ.get('GCSQL_MYSQL_INSTANCE_NAME2', 'test-mysql2')
 DB_NAME = os.environ.get('GCSQL_MYSQL_DATABASE_NAME', 'testdb')
 
-EXPORT_URI = os.environ.get('GCSQL_MYSQL_EXPORT_URI', 'gs://bucketName/fileName')
-IMPORT_URI = os.environ.get('GCSQL_MYSQL_IMPORT_URI', 'gs://bucketName/fileName')
+EXPORT_URI = os.environ.get('GCSQL_MYSQL_EXPORT_URI', 'gs://INVALID BUCKET NAME/fileName')
+IMPORT_URI = os.environ.get('GCSQL_MYSQL_IMPORT_URI', 'gs://INVALID BUCKET NAME/fileName')
 
 # Bodies below represent Cloud SQL instance resources:
 # https://cloud.google.com/sql/docs/mysql/admin-api/v1beta4/instances

diff --git a/airflow/providers/google/cloud/example_dags/example_datacatalog.py b/airflow/providers/google/cloud/example_dags/example_datacatalog.py
@@ -92,7 +92,7 @@
         entry={
             "display_name": "Wizard",
             "type_": "FILESET",
-            "gcs_fileset_spec": {"file_patterns": ["gs://test-datacatalog/**"]},
+            "gcs_fileset_spec": {"file_patterns": ["gs://INVALID BUCKET NAME/**"]},
         },
     )
     # [END howto_operator_gcp_datacatalog_create_entry_gcs]

diff --git a/airflow/providers/google/cloud/example_dags/example_dataflow.py b/airflow/providers/google/cloud/example_dags/example_dataflow.py
@@ -41,11 +41,11 @@
 from airflow.providers.google.cloud.transfers.gcs_to_local import GCSToLocalFilesystemOperator
 from airflow.utils.dates import days_ago
 
-GCS_TMP = os.environ.get('GCP_DATAFLOW_GCS_TMP', 'gs://test-dataflow-example/temp/')
-GCS_STAGING = os.environ.get('GCP_DATAFLOW_GCS_STAGING', 'gs://test-dataflow-example/staging/')
-GCS_OUTPUT = os.environ.get('GCP_DATAFLOW_GCS_OUTPUT', 'gs://test-dataflow-example/output')
-GCS_JAR = os.environ.get('GCP_DATAFLOW_JAR', 'gs://test-dataflow-example/word-count-beam-bundled-0.1.jar')
-GCS_PYTHON = os.environ.get('GCP_DATAFLOW_PYTHON', 'gs://test-dataflow-example/wordcount_debugging.py')
+GCS_TMP = os.environ.get('GCP_DATAFLOW_GCS_TMP', 'gs://INVALID BUCKET NAME/temp/')
+GCS_STAGING = os.environ.get('GCP_DATAFLOW_GCS_STAGING', 'gs://INVALID BUCKET NAME/staging/')
+GCS_OUTPUT = os.environ.get('GCP_DATAFLOW_GCS_OUTPUT', 'gs://INVALID BUCKET NAME/output')
+GCS_JAR = os.environ.get('GCP_DATAFLOW_JAR', 'gs://INVALID BUCKET NAME/word-count-beam-bundled-0.1.jar')
+GCS_PYTHON = os.environ.get('GCP_DATAFLOW_PYTHON', 'gs://INVALID BUCKET NAME/wordcount_debugging.py')
 
 GCS_JAR_PARTS = urlparse(GCS_JAR)
 GCS_JAR_BUCKET_NAME = GCS_JAR_PARTS.netloc

diff --git a/airflow/providers/google/cloud/example_dags/example_dataflow_flex_template.py b/airflow/providers/google/cloud/example_dags/example_dataflow_flex_template.py
@@ -38,7 +38,7 @@
 PUBSUB_FLEX_TEMPLATE_SUBSCRIPTION = PUBSUB_FLEX_TEMPLATE_TOPIC
 GCS_FLEX_TEMPLATE_TEMPLATE_PATH = os.environ.get(
     'GCP_DATAFLOW_GCS_FLEX_TEMPLATE_TEMPLATE_PATH',
-    "gs://test-airflow-dataflow-flex-template/samples/dataflow/templates/streaming-beam-sql.json",
+    "gs://INVALID BUCKET NAME/samples/dataflow/templates/streaming-beam-sql.json",
 )
 BQ_FLEX_TEMPLATE_DATASET = os.environ.get('GCP_DATAFLOW_BQ_FLEX_TEMPLATE_DATASET', 'airflow_dataflow_samples')
 BQ_FLEX_TEMPLATE_LOCATION = os.environ.get('GCP_DATAFLOW_BQ_FLEX_TEMPLATE_LOCATION>', 'us-west1')

diff --git a/airflow/providers/google/cloud/example_dags/example_dataprep.py b/airflow/providers/google/cloud/example_dags/example_dataprep.py
@@ -29,7 +29,7 @@
 
 DATAPREP_JOB_ID = int(os.environ.get('DATAPREP_JOB_ID', 12345677))
 DATAPREP_JOB_RECIPE_ID = int(os.environ.get('DATAPREP_JOB_RECIPE_ID', 12345677))
-DATAPREP_BUCKET = os.environ.get("DATAPREP_BUCKET", "gs://afl-sql/[email protected]")
+DATAPREP_BUCKET = os.environ.get("DATAPREP_BUCKET", "gs://INVALID BUCKET NAME/[email protected]")
 
 DATA = {
     "wrangledDataset": {"id": DATAPREP_JOB_RECIPE_ID},

diff --git a/airflow/providers/google/cloud/example_dags/example_dlp.py b/airflow/providers/google/cloud/example_dags/example_dlp.py
@@ -53,7 +53,7 @@
 )
 INSPECT_CONFIG = InspectConfig(info_types=[{"name": "PHONE_NUMBER"}, {"name": "US_TOLLFREE_PHONE_NUMBER"}])
 INSPECT_TEMPLATE = InspectTemplate(inspect_config=INSPECT_CONFIG)
-OUTPUT_BUCKET = os.environ.get("DLP_OUTPUT_BUCKET", "gs://test-dlp-airflow")
+OUTPUT_BUCKET = os.environ.get("DLP_OUTPUT_BUCKET", "gs://INVALID BUCKET NAME")
 OUTPUT_FILENAME = "test.txt"
 
 OBJECT_GCS_URI = os.path.join(OUTPUT_BUCKET, "tmp")

diff --git a/airflow/providers/google/cloud/example_dags/example_life_sciences.py b/airflow/providers/google/cloud/example_dags/example_life_sciences.py
@@ -23,7 +23,7 @@
 from airflow.utils import dates
 
 PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project-id")
-BUCKET = os.environ.get("GCP_GCS_LIFE_SCIENCES_BUCKET", "example-life-sciences-bucket")
+BUCKET = os.environ.get("GCP_GCS_LIFE_SCIENCES_BUCKET", "INVALID BUCKET NAME")
 FILENAME = os.environ.get("GCP_GCS_LIFE_SCIENCES_FILENAME", 'input.in')
 LOCATION = os.environ.get("GCP_LIFE_SCIENCES_LOCATION", 'us-central1')
 

diff --git a/airflow/providers/google/cloud/example_dags/example_mlengine.py b/airflow/providers/google/cloud/example_dags/example_mlengine.py
@@ -42,19 +42,19 @@
 
 MODEL_NAME = os.environ.get("GCP_MLENGINE_MODEL_NAME", "model_name")
 
-SAVED_MODEL_PATH = os.environ.get("GCP_MLENGINE_SAVED_MODEL_PATH", "gs://test-airflow-mlengine/saved-model/")
-JOB_DIR = os.environ.get("GCP_MLENGINE_JOB_DIR", "gs://test-airflow-mlengine/keras-job-dir")
+SAVED_MODEL_PATH = os.environ.get("GCP_MLENGINE_SAVED_MODEL_PATH", "gs://INVALID BUCKET NAME/saved-model/")
+JOB_DIR = os.environ.get("GCP_MLENGINE_JOB_DIR", "gs://INVALID BUCKET NAME/keras-job-dir")
 PREDICTION_INPUT = os.environ.get(
-    "GCP_MLENGINE_PREDICTION_INPUT", "gs://test-airflow-mlengine/prediction_input.json"
+    "GCP_MLENGINE_PREDICTION_INPUT", "gs://INVALID BUCKET NAME/prediction_input.json"
 )
 PREDICTION_OUTPUT = os.environ.get(
-    "GCP_MLENGINE_PREDICTION_OUTPUT", "gs://test-airflow-mlengine/prediction_output"
+    "GCP_MLENGINE_PREDICTION_OUTPUT", "gs://INVALID BUCKET NAME/prediction_output"
 )
-TRAINER_URI = os.environ.get("GCP_MLENGINE_TRAINER_URI", "gs://test-airflow-mlengine/trainer.tar.gz")
+TRAINER_URI = os.environ.get("GCP_MLENGINE_TRAINER_URI", "gs://INVALID BUCKET NAME/trainer.tar.gz")
 TRAINER_PY_MODULE = os.environ.get("GCP_MLENGINE_TRAINER_TRAINER_PY_MODULE", "trainer.task")
 
-SUMMARY_TMP = os.environ.get("GCP_MLENGINE_DATAFLOW_TMP", "gs://test-airflow-mlengine/tmp/")
-SUMMARY_STAGING = os.environ.get("GCP_MLENGINE_DATAFLOW_STAGING", "gs://test-airflow-mlengine/staging/")
+SUMMARY_TMP = os.environ.get("GCP_MLENGINE_DATAFLOW_TMP", "gs://INVALID BUCKET NAME/tmp/")
+SUMMARY_STAGING = os.environ.get("GCP_MLENGINE_DATAFLOW_STAGING", "gs://INVALID BUCKET NAME/staging/")
 
 default_args = {"params": {"model_name": MODEL_NAME}}
 

diff --git a/airflow/providers/google/cloud/example_dags/example_natural_language.py b/airflow/providers/google/cloud/example_dags/example_natural_language.py
@@ -44,7 +44,7 @@
 # [END howto_operator_gcp_natural_language_document_text]
 
 # [START howto_operator_gcp_natural_language_document_gcs]
-GCS_CONTENT_URI = "gs://my-text-bucket/sentiment-me.txt"
+GCS_CONTENT_URI = "gs://INVALID BUCKET NAME/sentiment-me.txt"
 document_gcs = Document(gcs_content_uri=GCS_CONTENT_URI, type="PLAIN_TEXT")
 # [END howto_operator_gcp_natural_language_document_gcs]
 

diff --git a/airflow/providers/google/cloud/example_dags/example_postgres_to_gcs.py b/airflow/providers/google/cloud/example_dags/example_postgres_to_gcs.py
@@ -25,7 +25,7 @@
 from airflow.utils.dates import days_ago
 
 PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-GCS_BUCKET = os.environ.get("GCP_GCS_BUCKET_NAME", "postgres_to_gcs_example")
+GCS_BUCKET = os.environ.get("GCP_GCS_BUCKET_NAME", "INVALID BUCKET NAME")
 FILENAME = "test_file"
 SQL_QUERY = "select * from test_table;"
 

diff --git a/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py b/airflow/providers/google/cloud/example_dags/example_presto_to_gcs.py
@@ -32,7 +32,7 @@
 from airflow.utils.dates import days_ago
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", 'example-project')
-GCS_BUCKET = os.environ.get("GCP_PRESTO_TO_GCS_BUCKET_NAME", "test-presto-to-gcs-bucket")
+GCS_BUCKET = os.environ.get("GCP_PRESTO_TO_GCS_BUCKET_NAME", "INVALID BUCKET NAME")
 DATASET_NAME = os.environ.get("GCP_PRESTO_TO_GCS_DATASET_NAME", "test_presto_to_gcs_dataset")
 
 SOURCE_MULTIPLE_TYPES = "memory.default.test_multiple_types"

diff --git a/airflow/providers/google/cloud/example_dags/example_speech_to_text.py b/airflow/providers/google/cloud/example_dags/example_speech_to_text.py
@@ -24,7 +24,7 @@
 from airflow.utils import dates
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-BUCKET_NAME = os.environ.get("GCP_SPEECH_TO_TEXT_TEST_BUCKET", "gcp-speech-to-text-test-bucket")
+BUCKET_NAME = os.environ.get("GCP_SPEECH_TO_TEXT_TEST_BUCKET", "INVALID BUCKET NAME")
 
 # [START howto_operator_speech_to_text_gcp_filename]
 FILENAME = "gcp-speech-test-file"

diff --git a/airflow/providers/google/cloud/example_dags/example_translate_speech.py b/airflow/providers/google/cloud/example_dags/example_translate_speech.py
@@ -24,7 +24,7 @@
 from airflow.utils import dates
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-project")
-BUCKET_NAME = os.environ.get("GCP_TRANSLATE_SPEECH_TEST_BUCKET", "gcp-translate-speech-test-bucket")
+BUCKET_NAME = os.environ.get("GCP_TRANSLATE_SPEECH_TEST_BUCKET", "INVALID BUCKET NAME")
 
 # [START howto_operator_translate_speech_gcp_filename]
 FILENAME = "gcp-speech-test-file"

diff --git a/airflow/providers/google/cloud/example_dags/example_trino_to_gcs.py b/airflow/providers/google/cloud/example_dags/example_trino_to_gcs.py
@@ -32,7 +32,7 @@
 from airflow.utils.dates import days_ago
 
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", 'example-project')
-GCS_BUCKET = os.environ.get("GCP_TRINO_TO_GCS_BUCKET_NAME", "test-trino-to-gcs-bucket")
+GCS_BUCKET = os.environ.get("GCP_TRINO_TO_GCS_BUCKET_NAME", "INVALID BUCKET NAME")
 DATASET_NAME = os.environ.get("GCP_TRINO_TO_GCS_DATASET_NAME", "test_trino_to_gcs_dataset")
 
 SOURCE_MULTIPLE_TYPES = "memory.default.test_multiple_types"

diff --git a/airflow/providers/google/cloud/example_dags/example_video_intelligence.py b/airflow/providers/google/cloud/example_dags/example_video_intelligence.py
@@ -38,7 +38,7 @@
 from airflow.utils.dates import days_ago
 
 # [START howto_operator_video_intelligence_os_args]
-GCP_BUCKET_NAME = os.environ.get("GCP_VIDEO_INTELLIGENCE_BUCKET_NAME", "test-bucket-name")
+GCP_BUCKET_NAME = os.environ.get("GCP_VIDEO_INTELLIGENCE_BUCKET_NAME", "INVALID BUCKET NAME")
 # [END howto_operator_video_intelligence_os_args]
 
 

diff --git a/airflow/providers/google/cloud/example_dags/example_vision.py b/airflow/providers/google/cloud/example_dags/example_vision.py
@@ -83,8 +83,12 @@
 GCP_VISION_PRODUCT_SET_ID = os.environ.get('GCP_VISION_PRODUCT_SET_ID', 'product_set_explicit_id')
 GCP_VISION_PRODUCT_ID = os.environ.get('GCP_VISION_PRODUCT_ID', 'product_explicit_id')
 GCP_VISION_REFERENCE_IMAGE_ID = os.environ.get('GCP_VISION_REFERENCE_IMAGE_ID', 'reference_image_explicit_id')
-GCP_VISION_REFERENCE_IMAGE_URL = os.environ.get('GCP_VISION_REFERENCE_IMAGE_URL', 'gs://bucket/image1.jpg')
-GCP_VISION_ANNOTATE_IMAGE_URL = os.environ.get('GCP_VISION_ANNOTATE_IMAGE_URL', 'gs://bucket/image2.jpg')
+GCP_VISION_REFERENCE_IMAGE_URL = os.environ.get(
+    'GCP_VISION_REFERENCE_IMAGE_URL', 'gs://INVALID BUCKET NAME/image1.jpg'
+)
+GCP_VISION_ANNOTATE_IMAGE_URL = os.environ.get(
+    'GCP_VISION_ANNOTATE_IMAGE_URL', 'gs://INVALID BUCKET NAME/image2.jpg'
+)
 
 # [START howto_operator_vision_product_set]
 product_set = ProductSet(display_name='My Product Set')

diff --git a/airflow/providers/google/firebase/example_dags/example_firestore.py b/airflow/providers/google/firebase/example_dags/example_firestore.py
@@ -59,7 +59,7 @@
 GCP_PROJECT_ID = os.environ.get("GCP_PROJECT_ID", "example-gcp-project")
 FIRESTORE_PROJECT_ID = os.environ.get("G_FIRESTORE_PROJECT_ID", "example-firebase-project")
 
-EXPORT_DESTINATION_URL = os.environ.get("GCP_FIRESTORE_ARCHIVE_URL", "gs://airflow-firestore/namespace/")
+EXPORT_DESTINATION_URL = os.environ.get("GCP_FIRESTORE_ARCHIVE_URL", "gs://INVALID BUCKET NAME/namespace/")
 BUCKET_NAME = urlparse(EXPORT_DESTINATION_URL).hostname
 EXPORT_PREFIX = urlparse(EXPORT_DESTINATION_URL).path