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Traceback (mostrecentcalllast):
File"/Users/james/projects/dask/dask/test.py", line3, in <module>
result = FileSystem.from_uri("s3://nyc-tlc/trip data/fhvhv_tripdata_2022-06.parquet")
File"pyarrow/_fs.pyx", line470, inpyarrow._fs.FileSystem.from_uriFile"pyarrow/error.pxi", line144, inpyarrow.lib.pyarrow_internal_check_statusFile"pyarrow/error.pxi", line100, inpyarrow.lib.check_statuspyarrow.lib.ArrowInvalid: CannotparseURI: 's3://nyc-tlc/trip data/fhvhv_tripdata_2022-06.parquet'
Note that things work if I use a different dataset that doesn't have a space in the URI, or if I replace the portion of the URI that has a space with a \* wildcard
frompyarrow.fsimportFileSystemresult = FileSystem.from_uri("s3://ursa-labs-taxi-data/2009/01/data.parquet") # worksresult = FileSystem.from_uri("s3://nyc-tlc/*/fhvhv_tripdata_2022-06.parquet") # works
The wildcard isn't necessarily equivalent to the original failing URI, but I think highlights that the space is somehow problematic.
Environment: - OS: macOS
python=3.9.15:h709bd14_0_cpython (installed from conda-forge)
When attempting to create a new filesystem object from a public dataset in S3, where there is a space in the bucket name, an error is raised.
Here's a minimal reproducer:
which fails with the following traceback:
Note that things work if I use a different dataset that doesn't have a space in the URI, or if I replace the portion of the URI that has a space with a
\*
wildcardThe wildcard isn't necessarily equivalent to the original failing URI, but I think highlights that the space is somehow problematic.
Environment: - OS: macOS
python=3.9.15:h709bd14_0_cpython
(installed from conda-forge)pyarrow=10.0.1:py39h2db5b05_1_cpu
(installed from conda-forge)Reporter: James Bourbeau / @jrbourbeau
Assignee: Antoine Pitrou / @pitrou
PRs and other links:
Note: This issue was originally created as ARROW-18436. Please see the migration documentation for further details.
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