Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] I have confirmed this bug exists on the latest version of pandas.
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[X] I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
filename ='hdfs:///dir/file1'
df = pd.read_parquet(filename) # This will fail, as pa_fs.FileSystem.from_uri(path) does not like hdfs:///, it wants hdfs://host_name/ instead. This will lead to error in bad URI format.
df = pd.read_parquet(filename, storage_options={}) # This will go through, as fsspec.core.url_to_fs understands hdfs:///
Issue Description
https://github.com/pandas-dev/pandas/commit/0359f1706ebe69df627b58f95c4ae2cee0b5acaf?diff=split&w=0
The above change from 2.1.0, which uses pyarrow fs instead of fsspec seems introduced the problem above. And by reading the code, you can force it to the same old behavior by passing in empty storage_options
Expected Behavior
file with hdfs:/// can be load properly.
Installed Versions
INSTALLED VERSIONS
------------------
commit : ba1cccd19da778f0c3a7d6a885685da16a072870
python : 3.9.18.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-150-generic
Version : #167~18.04.1-Ubuntu SMP Wed May 24 00:51:42 UTC 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : None
LOCALE : None.None
pandas : 2.1.0
numpy : 1.26.1
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 63.4.3
pip : 22.2.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.0.3
IPython : 7.34.0
pandas_datareader : None
bs4 : None
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : 2023.10.0
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 14.0.0
pyreadstat : None
pyxlsb : None
s3fs : 2023.10.0
scipy : None
sqlalchemy : 1.4.46
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None