[ 
https://issues.apache.org/jira/browse/AIRFLOW-4881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16877151#comment-16877151
 ] 

ASF GitHub Bot commented on AIRFLOW-4881:
-----------------------------------------

tamasflamich commented on pull request #5514: [AIRFLOW-4881] Persist the 
max_tries field of task instances during zombie collection
URL: https://github.com/apache/airflow/pull/5514
 
 
   Make sure you have checked _all_ steps below.
   
   ### Jira
   
   - [ ] My PR addresses the following [Airflow 
Jira](https://issues.apache.org/jira/browse/AIRFLOW-4881) issues and references 
them in the PR title.
     - https://issues.apache.org/jira/browse/AIRFLOW-4881
   
   ### Description
   
   - [ ] Here are some details about my PR, including screenshots of any UI 
changes:
   
   In case a task instance
   - has more attempts than retries (it can happen when the state of the task 
instance is explicitly cleared) and
   - task instance is prematurely terminated (without graceful shutdown)
   then zombie collection process of the scheduler can mark the task instance 
failed instead of up_for_retry.
   
   This happens because the `max_retries` field is not persisted but set to its 
initial value (`retries`). 
   
   ### Tests
   
   - [ ] My PR adds the following unit tests __OR__ does not need testing for 
this extremely good reason:
   
   ### Commits
   
   - [ ] 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
   
   - [ ] In case of new functionality, my PR adds documentation that describes 
how to use it.
     - All the public functions and the classes in the PR contain docstrings 
that explain what it does
     - If you implement backwards incompatible changes, please leave a note in 
the [Updating.md](https://github.com/apache/airflow/blob/master/UPDATING.md) so 
we can assign it to a appropriate release
   
   ### Code Quality
   
   - [ ] Passes `flake8`
   
 
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
[email protected]


> Zombie collection fails task instances that should be scheduled for retry
> -------------------------------------------------------------------------
>
>                 Key: AIRFLOW-4881
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-4881
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: scheduler
>    Affects Versions: 1.10.3
>            Reporter: Tamas Flamich
>            Priority: Major
>
> In case a task instance
>  * has more attempts than retries (it can happen when the state of the task 
> instance is explicitly cleared) and
>  * task instance is prematurely terminated (without graceful shutdown)
> then zombie collection process of the scheduler can mark the task instance 
> failed instead of retrying it. 
> Steps to reproduce:
> 1 - The task is scheduled for a particular executed date and the following 
> records gets created in the database.
> ||task_id||retries||try_number||max_tries||state||
> |emr_sensor|2|1|2|running|
> 2 - The job owners would like to schedule the task again therefore they clear 
> that state of the task instance. {{try_number}} and {{max_retries}} gets 
> updated.
> ||task_id||retries||try_number||max_tries||state||
> |emr_sensor|2|2|3|running|
> 3 - The Airlflow scheduler gets killed and a new scheduler instance starts 
> looking for zombie tasks. Since {{try_number < max_tries}}, the new state is 
> {{up_for_retry}}. However, there is a bug in the [state update 
> logic|https://github.com/apache/airflow/blob/d5a5b9d9f1f1efb67ffed4d8e6ef3e0a06467bed/airflow/models/dagbag.py#L295]
>  that will revert the {{max_tries}} value to the initial value ({{retries}}).
> ||task_id||retries||try_number||max_tries||state||
> |emr_sensor|2|2|2|up_for_retry|
> 4 - During the next iteration of the scheduler, the task instance gets picked 
> up. However, since {{try_number >= max_tries}}, the new state is {{failed}}.
> ||task_id||retries||try_number||max_tries||state||
> |emr_sensor|2|2|2|failed|



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to