mik-laj commented on a change in pull request #6590: [AIRFLOW-5520] Add options
to run Dataflow in a virtual environment
URL: https://github.com/apache/airflow/pull/6590#discussion_r347680244
##########
File path: airflow/gcp/hooks/dataflow.py
##########
@@ -481,30 +483,43 @@ def start_python_dataflow(
variables: Dict,
dataflow: str,
py_options: List[str],
+ py_interpreter: str = "python2",
+ py_requirements: Optional[List[str]] = None,
+ py_system_site_packages: bool = False,
project_id: Optional[str] = None,
append_job_name: bool = True,
- py_interpreter: str = "python2"
):
"""
Starts Dataflow job.
:param job_name: The name of the job.
:type job_name: str
:param variables: Variables passed to the job.
- :type variables: dict
+ :type variables: Dict
:param dataflow: Name of the Dataflow process.
:type dataflow: str
:param py_options: Additional options.
- :type py_options: list
- :param append_job_name: True if unique suffix has to be appended to
job name.
- :type append_job_name: bool
- :param project_id: Optional, the GCP project ID in which to start a
job.
- If set to None or missing, the default project_id from the GCP
connection is used.
+ :type py_options: List[str]
:param py_interpreter: Python version of the beam pipeline.
If None, this defaults to the python2.
To track python versions supported by beam and related
issues check: https://issues.apache.org/jira/browse/BEAM-1251
+ :param py_requirements: Additional python package to install.
+ If a value is passed to this parameter, a new virtual environment
has been created with
+ additional packages installed.
+
+ You could also install the apache-beam package if it is not
installed on your system or you want
+ to use a different version.
+ :type py_requirements: List[str]
+ :param py_system_site_packages: Whether to include
system_site_packages in your virtualenv.
+ See virtualenv documentation for more information.
+
+ This option is only relevant if the AAA parameter is passed.
Review comment:
Fixed. Thanks AAA=py_requirements.
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