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https://issues.apache.org/jira/browse/AIRFLOW-5931?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ash Berlin-Taylor resolved AIRFLOW-5931.
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Fix Version/s: 1.10.7
Resolution: Fixed
> Spawning new python interpreter for every task slow
> ---------------------------------------------------
>
> Key: AIRFLOW-5931
> URL: https://issues.apache.org/jira/browse/AIRFLOW-5931
> Project: Apache Airflow
> Issue Type: Improvement
> Components: executors, worker
> Affects Versions: 2.0.0
> Reporter: Ash Berlin-Taylor
> Assignee: Ash Berlin-Taylor
> Priority: Major
> Fix For: 1.10.7
>
>
> There are a number of places in the Executors and Task Runners where we spawn
> a whole new python interpreter.
> My profiling has shown that this is slow. Rather than running a fresh python
> interpreter which then has to re-load all of Airflow and its dependencies we
> should use {{os.fork}} when it is available/suitable which should speed up
> task running, espeically for short lived tasks.
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