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https://issues.apache.org/jira/browse/AIRFLOW-193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sergei Iakhnin updated AIRFLOW-193:
-----------------------------------
    Affects Version/s: Airflow 1.7.1.2

> 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: Airflow 1.7.1.2
>            Reporter: Sergei Iakhnin
>
> 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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