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On Thu, 19 Dec 2019 at 19:42, onlinejudge95 <onlinejudg...@gmail.com> wrote:

> Hi Devs,
>
> I am currently writing some custom Django commands for data updation, my
> workflow is like
>
> Fetch data from *PostgreSQL*.
> Call *Elasticsearch* for searching based on the data fetched from
> *PostgreSQL*.
> Query *PostgreSQL* and do an upsert behavior.
> I am using pandas data frame to hold my data during processing.
>
> The host we are using to run this jobs has a *CPython* interpreter as
> given by
>
> `platform.python_implementation()`
>
> I want to confirm whether *multithreading* would be a better choice here,
> given the fact that GIL is the biggest blocker(I agree it has to be there)
> for the same in CPython interpreters.
>
> In case further information is required do let me know.
>
> Thanks
> onlinejudge95
>
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