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https://issues.apache.org/jira/browse/AIRFLOW-1195?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16616902#comment-16616902
 ] 

ASF GitHub Bot commented on AIRFLOW-1195:
-----------------------------------------

kaxil opened a new pull request #3907: WIP: [AIRFLOW-1195] Add feature to clear 
tasks in Parent Dag
URL: https://github.com/apache/incubator-airflow/pull/3907
 
 
   Make sure you have checked _all_ steps below.
   
   ### Jira
   
   - [x] My PR addresses the following [Airflow 
Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references 
them in the PR title. For example, "\[AIRFLOW-XXX\] My Airflow PR"
     - https://issues.apache.org/jira/browse/AIRFLOW-1195
     - In case you are fixing a typo in the documentation you can prepend your 
commit with \[AIRFLOW-XXX\], code changes always need a Jira issue.
   
   ### Description
   
   - [x] Here are some details about my PR, including screenshots of any UI 
changes:
   Details on Jira
   
   Let's say that you had a task fail in a SubDag. You fix the underlying issue 
and want Airflow to resume the DagRun where it left off. If this were a flat 
DAG, then all you need to do is clear the failed TaskInstance and its 
downstream dependencies. The GUI will happily clear all of them for you in a 
single PUT request! In order to resume a SubDag, you must clear the 
TaskInstance + downstream dependencies AND you must clear the SubDagOperator + 
downstream depencies WITHOUT clearing its recursive dependencies. There should 
be an option to recursively clear task instances in upstream SubDags.
   
   ### Tests
   
   - [x] My PR adds the following unit tests __OR__ does not need testing for 
this extremely good reason:
   
   ### Commits
   
   - [x] My commits all reference Jira issues in their subject lines, and I 
have squashed multiple commits if they address the same issue. In addition, my 
commits follow the guidelines from "[How to write a good git commit 
message](http://chris.beams.io/posts/git-commit/)":
     1. Subject is separated from body by a blank line
     1. Subject is limited to 50 characters (not including Jira issue reference)
     1. Subject does not end with a period
     1. Subject uses the imperative mood ("add", not "adding")
     1. Body wraps at 72 characters
     1. Body explains "what" and "why", not "how"
   
   ### Documentation
   
   - [x] In case of new functionality, my PR adds documentation that describes 
how to use it.
     - When adding new operators/hooks/sensors, the autoclass documentation 
generation needs to be added.
   
   ### Code Quality
   
   - [x] Passes `git diff upstream/master -u -- "*.py" | flake8 --diff`
   

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> Cleared tasks in SubDagOperator do not trigger upstream dag_runs
> ----------------------------------------------------------------
>
>                 Key: AIRFLOW-1195
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-1195
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: subdag
>    Affects Versions: 1.8.1
>            Reporter: Paul Zaczkieiwcz
>            Priority: Minor
>         Attachments: example_subdag_operator.not-cleared.png, 
> example_subdag_operator.section-2.cleared.png
>
>
> Let's say that you had a task fail in a SubDag.  You fix the underlying issue 
> and want Airflow to resume the DagRun where it left off.  If this were a flat 
> DAG, then all you need to do is clear the failed TaskInstance and its 
> downstream dependencies. The GUI will happily clear all of them for you in a 
> single PUT request!  In order to resume a SubDag, you must clear the 
> TaskInstance + downstream dependencies AND you must clear the SubDagOperator 
> + downstream depencies WITHOUT clearing its recursive dependencies. There 
> should be an option to recursively clear task instances in upstream SubDags.
> The attached files use the example_subdag_operator DAG to illustrate the 
> problem.  Before the screenshot, I ran the operator to completion, then 
> cleared {{example_subdag_operator.section-2.section-2-task-5}}. Notice that 
> {{example_subdag_operator.section-2}} is in the `running` state, but 
> {{example_subdag_operator}} is still in the `success` state.



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