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when I use code1, if s3 file changed, info not change. code2 can find the change.
The difference between these two code is parameter memory_map, actually, default memory_map is False, so I was confused.
Do you think it's an s3fs issue then? It does cache file listings, and the instances of S3FileSystem are cached. You could try S3FS.clear_instance_cache.
Code Sample
Problem description
when I use
code1
, if s3 file changed,info
not change.code2
can find the change.The difference between these two code is parameter
memory_map
, actually, defaultmemory_map
is False, so I was confused.Output of
pd.show_versions()
INSTALLED VERSIONS
commit : None
python : 3.7.5.final.0
python-bits : 64
OS : Linux
OS-release : 4.4.0-1098-aws
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 0.25.3
numpy : 1.17.4
pytz : 2019.3
dateutil : 2.8.0
pip : 19.3.1
setuptools : 42.0.2
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.8.4 (dt dec pq3 ext lo64)
jinja2 : 2.10.3
IPython : 7.10.1
pandas_datareader: None
bs4 : None
bottleneck : None
fastparquet : None
gcsfs : None
lxml.etree : None
matplotlib : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pytables : None
s3fs : 0.4.0
scipy : 1.3.3
sqlalchemy : 1.3.11
tables : None
xarray : None
xlrd : None
xlwt : None
xlsxwriter : None
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