BUG: Worker nodes are given incorrect credentials from SQLAlchemy object URL

[tochigiv]

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Reproducible Example

import modin.pandas as pd
import sqlalchemy as db
import ray

password = '...'
engine = db.create_engine(f'mysql://root:{password}@localhost:3306/test')

ray.init()

df = pd.DataFrame({
    'account-start': ['2017-02-03', '2017-03-03', '2017-01-01'],
    'client': ['Alice Anders', 'Bob Baker', 'Charlie Chaplin'],
    'balance': [-1432.32, 10.43, 30000.00],
    'db-id': [1234, 2424, 251],
    'proxy-id': [525, 1525, 2542],
    'rank': [52, 525, 32],
})

with engine.begin() as conn:
    df.to_sql('abc', conn, schema='test', if_exists='replace', index=False)

Issue Description

The Ray worker nodes are unable to connect to the database as they are not getting the correct credentials.

Expected Behavior

The contents of the DataFrame should be written to the table "abc."

Error Logs

OperationalError: (MySQLdb.OperationalError) (1045, "Access denied for user 'root'@'localhost' (using password: YES)")
(Background on this error at: https://sqlalche.me/e/20/e3q8)

Installed Versions

INSTALLED VERSIONS

commit : 4704751
python : 3.10.13.final.0
python-bits : 64
OS : Darwin
OS-release : 23.3.0
Version : Darwin Kernel Version 23.3.0: Wed Dec 20 21:30:44 PST 2023; root:xnu-10002.81.5~7/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.UTF-8

Modin dependencies

modin : 0.27.0+8.g4704751c
ray : 2.9.2
dask : 2024.2.0
distributed : 2024.2.0
hdk : None

pandas dependencies

pandas : 2.2.0
numpy : 1.26.4
pytz : 2024.1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 24.0
Cython : None
pytest : 8.0.1
hypothesis : None
sphinx : 7.2.6
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 5.1.0
html5lib : None
pymysql : None
psycopg2 : 2.9.9
jinja2 : 3.1.3
IPython : 8.21.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
bottleneck : None
dataframe-api-compat : None
fastparquet : 2024.2.0
fsspec : 2024.2.0
gcsfs : None
matplotlib : 3.8.3
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.2
pandas_gbq : 0.21.0
pyarrow : 15.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : 2024.2.0
scipy : 1.12.0
sqlalchemy : 2.0.27
tables : 3.9.2
tabulate : None
xarray : 2024.2.0
xlrd : 2.0.1
zstandard : None
tzdata : 2024.1
qtpy : None
pyqt5 : None