:mod:`airflow.contrib.hooks.gcp_dataflow_hook`
==============================================

.. py:module:: airflow.contrib.hooks.gcp_dataflow_hook


Module Contents
---------------

.. data:: DEFAULT_DATAFLOW_LOCATION
   :annotation: = us-central1

   

.. py:class:: _DataflowJob(dataflow, project_number, name, location, poll_sleep=10, job_id=None, num_retries=None)

   Bases: :class:`airflow.utils.log.logging_mixin.LoggingMixin`

   
   .. method:: _get_job_id_from_name(self)



   
   .. method:: _get_job(self)



   
   .. method:: wait_for_done(self)



   
   .. method:: get(self)




.. py:class:: _Dataflow(cmd)

   Bases: :class:`airflow.utils.log.logging_mixin.LoggingMixin`

   
   .. method:: _line(self, fd)



   
   .. staticmethod:: _extract_job(line)



   
   .. method:: wait_for_done(self)




.. py:class:: DataFlowHook(gcp_conn_id='google_cloud_default', delegate_to=None, poll_sleep=10)

   Bases: :class:`airflow.contrib.hooks.gcp_api_base_hook.GoogleCloudBaseHook`

   
   .. method:: get_conn(self)

      Returns a Google Cloud Dataflow service object.



   
   .. method:: _start_dataflow(self, variables, name, command_prefix, label_formatter)



   
   .. staticmethod:: _set_variables(variables)



   
   .. method:: start_java_dataflow(self, job_name, variables, dataflow, job_class=None, append_job_name=True)



   
   .. method:: start_template_dataflow(self, job_name, variables, parameters, dataflow_template, append_job_name=True)



   
   .. method:: start_python_dataflow(self, job_name, variables, dataflow, py_options, append_job_name=True)



   
   .. staticmethod:: _build_dataflow_job_name(job_name, append_job_name=True)



   
   .. staticmethod:: _build_cmd(variables, label_formatter)



   
   .. method:: _start_template_dataflow(self, name, variables, parameters, dataflow_template)