You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@airflow.apache.org by "Ash Berlin-Taylor (Jira)" <ji...@apache.org> on 2019/10/16 15:09:01 UTC
[jira] [Updated] (AIRFLOW-5275) Add support for template parameters
in DataprocWorkflowTemplateInstantiateOperator
[ https://issues.apache.org/jira/browse/AIRFLOW-5275?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Ash Berlin-Taylor updated AIRFLOW-5275:
---------------------------------------
Fix Version/s: (was: 1.10.6)
2.0.0
> Add support for template parameters in DataprocWorkflowTemplateInstantiateOperator
> ----------------------------------------------------------------------------------
>
> Key: AIRFLOW-5275
> URL: https://issues.apache.org/jira/browse/AIRFLOW-5275
> Project: Apache Airflow
> Issue Type: Improvement
> Components: operators
> Affects Versions: 1.10.4
> Reporter: Michal Brys
> Assignee: Michal Brys
> Priority: Minor
> Fix For: 2.0.0
>
>
> Implement passing parameter values when instantiating parametrized Dataproc workflow templates. While Dataproc API supports it ([https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.locations.workflowTemplates/instantiate]) it's not implemented in DataprocWorkflowTemplateInstantiateOperator yet.
>
> The implementation plan is to add a map of parameters to request body:
> {code:java}
> body={
> 'requestId': str(uuid.uuid4()),
> 'parameters': parameters
> }
> {code}
> in [https://github.com/apache/airflow/blob/master/airflow/contrib/operators/dataproc_operator.py]
--
This message was sent by Atlassian Jira
(v8.3.4#803005)