michael-s-molina commented on code in PR #24564:
URL: https://github.com/apache/superset/pull/24564#discussion_r1253385130


##########
docs/docs/installation/configuring-superset.mdx:
##########
@@ -146,6 +146,9 @@ for production use._
 If you're not using Gunicorn, you may want to disable the use of 
`flask-compress` by setting
 `COMPRESS_REGISTER = False` in your `superset_config.py`.
 
+Currently, Google BigQuery python sdk is not compatible with `gevent`, due to 
some dynamic monkeypatching on python core library by `gevent`.
+So, when you use `BigQuery` datasource on superset, you have to use `gunicorn` 
worker type except `gevent`.

Review Comment:
   ```suggestion
   So, when you use `BigQuery` datasource on Superset, you have to use 
`gunicorn` worker type except `gevent`.
   ```



##########
docs/docs/databases/bigquery.mdx:
##########
@@ -87,3 +87,6 @@ You should then be able to connect to your BigQuery datasets.
 
 To be able to upload CSV or Excel files to BigQuery in Superset, you'll need 
to also add the
 [pandas_gbq](https://github.com/pydata/pandas-gbq) library.
+
+Currently, Google BigQuery python sdk is not compatible with `gevent`, due to 
some dynamic monkeypatching on python core library by `gevent`.
+So, when you deploy superset with `gunicorn` server, you have to use worker 
type except `gevent`.

Review Comment:
   ```suggestion
   So, when you deploy Superset with `gunicorn` server, you have to use worker 
type except `gevent`.
   ```



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