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Posted to jira@arrow.apache.org by "Prakhar Sandhu (Jira)" <ji...@apache.org> on 2022/09/10 08:04:00 UTC

[jira] [Updated] (ARROW-17672) Unrecognized filesystem type in URI: abfss://

     [ https://issues.apache.org/jira/browse/ARROW-17672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Prakhar Sandhu updated ARROW-17672:
-----------------------------------
    Description: 
I am running the below commands in databricks.

When I am trying to read a file which is stored in adls using pandas:
{code:java}
pip install adlfs 
import pandas as pd
data = pd.read_parquet("abfss://data.parquet", storage_options= {}){code}
Then I got the below error: 
{code:java}
File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 310, in read_parquet
return impl.read(path, columns=columns, **kwargs)
File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
path, columns=columns, **kwargs
File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1573, in read_table
ignore_prefixes=ignore_prefixes,
File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1434, in __init__
ignore_prefixes=ignore_prefixes)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 667, in dataset
return _filesystem_dataset(source, **kwargs)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 424, in _filesystem_dataset
fs, paths_or_selector = _ensure_single_source(source, filesystem)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 371, in _ensure_single_source
filesystem, path = FileSystem.from_uri(path)
File "pyarrow/_fs.pyx", line 347, in pyarrow._fs.FileSystem.from_uri
File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Unrecognized filesystem type in URI: abfss:///data.parquet {code}

  was:
When I am trying to read a file which is stored in adls using pandas:
{code:java}
pip install adlfs 
import pandas as pd
data = pd.read_parquet("abfss://data.parquet", storage_options= {}){code}
Then I got the below error: 
{code:java}
File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 310, in read_parquet
return impl.read(path, columns=columns, **kwargs)
File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
path, columns=columns, **kwargs
File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1573, in read_table
ignore_prefixes=ignore_prefixes,
File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1434, in __init__
ignore_prefixes=ignore_prefixes)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 667, in dataset
return _filesystem_dataset(source, **kwargs)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 424, in _filesystem_dataset
fs, paths_or_selector = _ensure_single_source(source, filesystem)
File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 371, in _ensure_single_source
filesystem, path = FileSystem.from_uri(path)
File "pyarrow/_fs.pyx", line 347, in pyarrow._fs.FileSystem.from_uri
File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Unrecognized filesystem type in URI: abfss:///data.parquet {code}


> Unrecognized filesystem type in URI: abfss://
> ---------------------------------------------
>
>                 Key: ARROW-17672
>                 URL: https://issues.apache.org/jira/browse/ARROW-17672
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Parquet, Python
>            Reporter: Prakhar Sandhu
>            Priority: Major
>
> I am running the below commands in databricks.
> When I am trying to read a file which is stored in adls using pandas:
> {code:java}
> pip install adlfs 
> import pandas as pd
> data = pd.read_parquet("abfss://data.parquet", storage_options= {}){code}
> Then I got the below error: 
> {code:java}
> File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 310, in read_parquet
> return impl.read(path, columns=columns, **kwargs)
> File "/databricks/python/lib/python3.7/site-packages/pandas/io/parquet.py", line 125, in read
> path, columns=columns, **kwargs
> File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1573, in read_table
> ignore_prefixes=ignore_prefixes,
> File "/databricks/python/lib/python3.7/site-packages/pyarrow/parquet.py", line 1434, in __init__
> ignore_prefixes=ignore_prefixes)
> File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 667, in dataset
> return _filesystem_dataset(source, **kwargs)
> File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 424, in _filesystem_dataset
> fs, paths_or_selector = _ensure_single_source(source, filesystem)
> File "/databricks/python/lib/python3.7/site-packages/pyarrow/dataset.py", line 371, in _ensure_single_source
> filesystem, path = FileSystem.from_uri(path)
> File "pyarrow/_fs.pyx", line 347, in pyarrow._fs.FileSystem.from_uri
> File "pyarrow/error.pxi", line 122, in pyarrow.lib.pyarrow_internal_check_status
> File "pyarrow/error.pxi", line 84, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Unrecognized filesystem type in URI: abfss:///data.parquet {code}



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