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Posted to commits@airflow.apache.org by "Daniel Imberman (Jira)" <ji...@apache.org> on 2020/03/27 21:00:00 UTC
[jira] [Reopened] (AIRFLOW-193) Allow a series of tasks to be
executed on the same worker
[ https://issues.apache.org/jira/browse/AIRFLOW-193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Daniel Imberman reopened AIRFLOW-193:
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> Allow a series of tasks to be executed on the same worker
> ---------------------------------------------------------
>
> Key: AIRFLOW-193
> URL: https://issues.apache.org/jira/browse/AIRFLOW-193
> Project: Apache Airflow
> Issue Type: New Feature
> Affects Versions: 1.7.1.2
> Reporter: Sergei Iakhnin
> Assignee: Daniel Imberman
> Priority: Major
>
> Currently the only way to limit the execution of a series of tasks to a single worker is via pools, however this is not a very convenient method when managing hundreds of workers.
> In the context of scientific workflows it is a common desire to be able to retrieve a (possibly large) sample from a data repository (or object store), then progressively elaborate it via a series of transformations, and finally deposit the result back. From a modelling perspective it makes sense to have the series of transformations each be encapsulated in a separate task. From practical considerations (performance, network bandwidth) it would be desirable to retrieve the sample to a single worker's local storage, where it would then be worked upon until completion. This, of course, requires the ability to have a slew of tasks to be bound to a particular worker.
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