tests.system.google.cloud.dataflow.example_dataflow_pipeline

Example Airflow DAG for testing Google Dataflow to create pipelines.

Attributes

DAG_ID

ENV_ID

GCP_PROJECT_ID

GCP_LOCATION

PIPELINE_NAME

PIPELINE_JOB_NAME

PIPELINE_TYPE

RESOURCE_DATA_BUCKET

BUCKET_NAME

FILE_NAME

TEMPLATE_FILE

TEMP_LOCATION

GCS_PATH

INPUT_FILE

OUTPUT

create_bucket

test_run

Module Contents

tests.system.google.cloud.dataflow.example_dataflow_pipeline.DAG_ID = 'dataflow_pipeline'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.ENV_ID[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.GCP_PROJECT_ID[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.GCP_LOCATION = 'us-central1'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.PIPELINE_NAME = ''[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.PIPELINE_JOB_NAME = ''[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.PIPELINE_TYPE = 'PIPELINE_TYPE_BATCH'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.RESOURCE_DATA_BUCKET = 'airflow-system-tests-resources'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.BUCKET_NAME = ''[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.FILE_NAME = 'kinglear.txt'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.TEMPLATE_FILE = 'word-count.json'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.TEMP_LOCATION = 'gs:///temp'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.GCS_PATH = 'gs:///dataflow/word-count.json'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.INPUT_FILE = 'gs:///dataflow/kinglear.txt'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.OUTPUT = 'gs:///results/hello'[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.create_bucket[source]
tests.system.google.cloud.dataflow.example_dataflow_pipeline.test_run[source]

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