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Posted to jira@arrow.apache.org by "Lance Dacey (Jira)" <ji...@apache.org> on 2021/02/01 14:10:00 UTC

[jira] [Created] (ARROW-11453) [Python] [Dataset] Unable to use write_dataset() to Azure Blob with adlfs 0.6.0

Lance Dacey created ARROW-11453:
-----------------------------------

             Summary: [Python] [Dataset] Unable to use write_dataset() to Azure Blob with adlfs 0.6.0
                 Key: ARROW-11453
                 URL: https://issues.apache.org/jira/browse/ARROW-11453
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 3.0.0
         Environment: This environment results in an error:

adlfs v0.6.0
fsspec 0.8.5
azure.storage.blob 12.6.0
adal 1.2.6
pandas 1.2.1
pyarrow 3.0.0
            Reporter: Lance Dacey


https://github.com/dask/adlfs/issues/171

I am unable to save data to Azure Blob using ds.write_dataset() with pyarrow 3.0 and adlfs 0.6.0. Reverting to 0.5.9 fixes the issue, but I am not sure what the cause is - posting this here in case there were filesystem changes in pyarrow recently which are incompatible with changes made in adlfs.



{code:java}
  File "pyarrow/_dataset.pyx", line 2343, in pyarrow._dataset._filesystemdataset_write
  File "pyarrow/_fs.pyx", line 1032, in pyarrow._fs._cb_create_dir
  File "/opt/conda/lib/python3.8/site-packages/pyarrow/fs.py", line 259, in create_dir
    self.fs.mkdir(path, create_parents=recursive)
  File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 121, in wrapper
    return maybe_sync(func, self, *args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 100, in maybe_sync
    return sync(loop, func, *args, **kwargs)
  File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 71, in sync
    raise exc.with_traceback(tb)
  File "/opt/conda/lib/python3.8/site-packages/fsspec/asyn.py", line 55, in f
    result[0] = await future
  File "/opt/conda/lib/python3.8/site-packages/adlfs/spec.py", line 1033, in _mkdir
    raise FileExistsError(
FileExistsError: Cannot overwrite existing Azure container -- dev already exists.  
{code}




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