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https://issues.apache.org/jira/browse/AIRFLOW-6227?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gaurav Sehgal reassigned AIRFLOW-6227:
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Assignee: Gaurav Sehgal
> Ability to assign multiple pool names to a single task
> ------------------------------------------------------
>
> Key: AIRFLOW-6227
> URL: https://issues.apache.org/jira/browse/AIRFLOW-6227
> Project: Apache Airflow
> Issue Type: New Feature
> Components: scheduler
> Affects Versions: 1.10.6
> Reporter: t oo
> Assignee: Gaurav Sehgal
> Priority: Major
>
> Right now only a single pool name can be assigned to each task instance.
> Ideally 2 different pool names can be assigned to a task_instance.
> Use case:
> I have 300 Spark tasks writing to 60 different tables (ie. there are multiple
> tasks writing to same table).
> I want both:
> # Maximum of 30 Spark tasks running in parallel
> # Never more than 1 Spark task writing to the same table in parallel
> If i have a 'spark' pool of 30 and assign 'spark' pool to those tasks then i
> risk having 2 tasks writing to same table.
> But instead if i have a 'tableA' pool of 1, 'tableB' pool of 1, 'tableC' pool
> of 1...etc and assign relevant table name pool to each task then i risk
> having more than 30 spark tasks running in parallel.
> I can't use 'parallelism' or other settings because I have other non-spark
> tasks that I don't want to limit
>
>
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