[GitHub] [airflow] potiuk commented on issue #12236: Logging to S3 stops working when MLFlow import added to file

[GitBox <gi...@apache.org>]

potiuk commented on issue #12236:
URL: https://github.com/apache/airflow/issues/12236#issuecomment-757886669


   There also might be another problem:
   
   Do you also use/import snowflake provider as well? We have the ongoing problem with #12881 and that might be the root cause of the problem.
   
   If that's the case, for now you might remove the provider (and snowflake-connector-python). We are working with snowflake team ( they just merged https://github.com/snowflakedb/snowflake-connector-python/pull/591 and https://github.com/snowflakedb/snowflake-connector-python/pull/592) and as soon as they release new version of the connector, this problem should be gone.
   
   If you have it can you remove the snowflake connector and let us know if it fixes the problem?
   
   But if you do not import snowflake anywhere: 
   
   Solution to this 'snowflake' problem will also unblock upgrade to a newer version of `requests` and `urrlib3` libraries which might be another reason why mlflow does not work.
   
   But you should be able to manually upgrade requests library and urllib3 libraries to latest versions (even if they will tell that there is a  'requests/urllib3 conflict'. In the upcoming bugfix 1.10.15 release, this limitation will be gone, regardless if snowflake manages to release a new library or not, but for now you would have to upgrade those manually.
   
   Could try it and let us know ?


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