I am getting this error in a lot of DAGs that seem very random. The full trace of the error is:
```
Traceback (most recent call last):
[2021-08-11 09:29:19,497]  INFO -   File "/home/***/.local/lib/python3.8/site-packages/MySQLdb/__init__.py", line 18, in <module>
[2021-08-11 09:29:19,498]  INFO -     from . import _mysql
[2021-08-11 09:29:19,499]  INFO - ImportError: /usr/lib/x86_64-linux-gnu/libstdc++.so.6: cannot allocate memory in static TLS block
[2021-08-11 09:29:19,500]  INFO - 
[2021-08-11 09:29:19,501]  INFO - During handling of the above exception, another exception occurred:
[2021-08-11 09:29:19,502]  INFO - 
[2021-08-11 09:29:19,503]  INFO - Traceback (most recent call last):
[2021-08-11 09:29:19,504]  INFO -   File "/opt/***/dags/import_apple_app_store/py_s3_apple.py", line 7, in <module>
[2021-08-11 09:29:19,505]  INFO -     from ***.models import Variable
[2021-08-11 09:29:19,506]  INFO -   File "/home/***/.local/lib/python3.8/site-packages/***/__init__.py", line 46, in <module>
[2021-08-11 09:29:19,506]  INFO -     settings.initialize()
[2021-08-11 09:29:19,507]  INFO -   File "/home/***/.local/lib/python3.8/site-packages/***/settings.py", line 445, in initialize
[2021-08-11 09:29:19,508]  INFO -     configure_adapters()
[2021-08-11 09:29:19,508]  INFO -   File "/home/***/.local/lib/python3.8/site-packages/***/settings.py", line 325, in configure_adapters
[2021-08-11 09:29:19,509]  INFO -     import MySQLdb.converters
[2021-08-11 09:29:19,510]  INFO -   File "/home/***/.local/lib/python3.8/site-packages/MySQLdb/__init__.py", line 24, in <module>
[2021-08-11 09:29:19,510]  INFO -     version_info, _mysql.version_info, _mysql.__file__
[2021-08-11 09:29:19,511]  INFO - NameError: name '_mysql' is not defined
[2021-08-11 09:29:19,647] {python_file_operator.py:118} INFO - Command exited with return code 1
```

Characteristics:

- Official Docker image apache/airflow:2.1.2.
- I add to the official image the following:
`  RUN sudo apt-get update && sudo apt-get install -y build-essential gconf-service libasound2 libatk1.0-0 libcairo2 libcups2 libfontconfig1 libgdk-pixbuf2.0-0 libgtk-3-0 libnspr4 libpango-1.0-0 libxss1 fonts-liberation libappindicator1 libnss3 lsb-release xdg-utils wget libappindicator3-1 libgbm1`
- Also I have a requirements file. The only mysql-related library is the provider one. 
- Prod env in an Ubuntu 18.04 AWS EC2 of 128GB RAM
- Local env MacOS 10GB allocated to Docker. I have this parameter in the docker-compose   `AIRFLOW__OPERATORS__DEFAULT_RAM: 2048`
- All errors occurred in python scripts executed by BashOperators
- All errors happen during the imports, not even a single line of code after the imports is executed
- No DAGs with the error uses any MySql library


First, in prod, with Python 3.6, I had the error on several DAGs (let's say DAGs A and B worked, and C and D did not). In both A and B, there was a common point, importing Variable before SnowflakeHook. So the code was:

```
from snowflake_hook import SnowflakeHook (this file does NOT make use of Variable anywhere in the code)
from airflow.models import Variable
```
And changing the order solved the problem:
```
from airflow.models import Variable
from snowflake_hook import SnowflakeHook
```

Now, in local, I was testing updating the python version using the official images. Starting from Python 3.9, suddenly, the dag A, which was already fixed in prod, stopped working. 

Then I change to Python 3.8 and the dag A starts working again. However, dag C, which never had a problem, start failing with the same error. In this case, there were no import of SnowflakeHook, just common python libraries imports. Anyway, I change the code from:

```
import logging
import pandas as pd
import requests

from airflow.models import Variable
```

to 
```
from airflow.models import Variable

import logging
import pandas as pd
import requests
```
And it works. 

Furthermore, dag D, which also didn't have a problem, fails also. I try to change the orders of the imports, and in this case, it does not work. At the time of failing, there were only 5 dags active and just 1 of them (light one) running, so it does not seem to be a RAM problem. 

So I am very lost about how to deal with this error. The docker-compose is very similar to the one in the official docs. 
airflow/settings.py
import rich.console
    return rich.console.Console(file=file)
def custom_show_warning(message, category, filename, lineno, file=None, line=None):
    """Custom function to print rich and visible warnings"""
    
    from rich.markup import escape
    msg = f"[bold]{line}" if line else f"[bold][yellow]{filename}:{lineno}"
    msg += f" {category.__name__}[/bold]: {escape(str(message))}[/yellow]"
    write_console = _get_rich_console(file or sys.stderr)
    write_console.print(msg, soft_wrap=True)
warnings.showwarning = custom_show_warning
def task_policy(task) -> None:
    """
    This policy setting allows altering tasks after they are loaded in
    the DagBag. It allows administrator to rewire some task's parameters.
    Alternatively you can raise ``AirflowClusterPolicyViolation`` exception
    to stop DAG from being executed.
    To define policy, add a ``airflow_local_settings`` module
    to your PYTHONPATH that defines this ``task_policy`` function.
    Here are a few examples of how this can be useful:
    * You could enforce a specific queue (say the ``spark`` queue)
        for tasks using the ``SparkOperator`` to make sure that these
        tasks get wired to the right workers
    * You could enforce a task timeout policy, making sure that no tasks run
        for more than 48 hours
    :param task: task to be mutated
    :type task: airflow.models.baseoperator.BaseOperator
    """
def dag_policy(dag) -> None: