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 -- You received this message because you are subscribed to the Google Groups "Django users" group. To unsubscribe from this group and stop receiving emails from it, send an email to django-users+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/django-users/CAD%3DM5eRWh9-EB180f2OzvnPLHh969vgaCzFyniFRSFa1-CwUHA%40mail.gmail.com.
