Simon Lidberg created ARROW-5647:
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Summary: Accessing a file from Databricks using pandas
read_parquet using the pyarrow engine fails with : Passed non-file path:
/mnt/aa/example.parquet
Key: ARROW-5647
URL: https://issues.apache.org/jira/browse/ARROW-5647
Project: Apache Arrow
Issue Type: Bug
Components: Python
Affects Versions: 0.13.0
Environment: Azure Databricks
Reporter: Simon Lidberg
Attachments: arrow_error.txt
When trying to access a file using a mount point pointing to an Azure blob
storage account the code fails with the following error:
{color:#8b0000}OSError{color}: Passed non-file path: /mnt/aa/example.parquet
{color:#8b0000}---------------------------------------------------------------------------{color}
{color:#8b0000}OSError{color} Traceback (most recent call last)
{color:#006400}<command-1848295812523966>{color} in
{color:#4682b4}<module>{color}{color:#00008b}(){color} {color:#006400}---->
1{color} pddf2 {color:#AA4B00}={color}
pd{color:#AA4B00}.{color}read_parquet{color:#AA4B00}({color}{color:#00008b}"/mnt/aa/example.parquet"{color}{color:#AA4B00},{color}
engine{color:#AA4B00}={color}{color:#00008b}'pyarrow'{color}{color:#AA4B00}){color}
{color:#006400} 2{color}
display{color:#AA4B00}({color}pddf2{color:#AA4B00}){color}
{color:#006400}/databricks/python/lib/python3.5/site-packages/pandas/io/parquet.py{color}
in {color:#4682b4}read_parquet{color}{color:#00008b}(path, engine, columns,
**kwargs){color} {color:#006400} 280{color} {color:#006400} 281{color} impl
{color:#AA4B00}={color}
get_engine{color:#AA4B00}({color}engine{color:#AA4B00}){color}
{color:#006400}--> 282{color} {color:#006400}return{color}
impl{color:#AA4B00}.{color}read{color:#AA4B00}({color}path{color:#AA4B00},{color}
columns{color:#AA4B00}={color}columns{color:#AA4B00},{color}
{color:#AA4B00}**{color}kwargs{color:#AA4B00}){color}
{color:#006400}/databricks/python/lib/python3.5/site-packages/pandas/io/parquet.py{color}
in {color:#4682b4}read{color}{color:#00008b}(self, path, columns,
**kwargs){color} {color:#006400} 127{color}
kwargs{color:#AA4B00}[{color}{color:#00008b}'use_pandas_metadata'{color}{color:#AA4B00}]{color}
{color:#AA4B00}={color} {color:#006400}True{color} {color:#006400} 128{color}
result = self.api.parquet.read_table(path, columns=columns, {color:#006400}-->
129{color}{color:#AA4B00} **kwargs).to_pandas() {color}{color:#006400}
130{color} {color:#006400}if{color} should_close{color:#AA4B00}:{color}
{color:#006400} 131{color} {color:#006400}try{color}{color:#AA4B00}:{color}
{color:#006400}/databricks/python/lib/python3.5/site-packages/pyarrow/parquet.py{color}
in {color:#4682b4}read_table{color}{color:#00008b}(source, columns,
use_threads, metadata, use_pandas_metadata, memory_map, filesystem){color}
{color:#006400} 1150{color} return fs.read_parquet(path, columns=columns,
{color:#006400} 1151{color}
use_threads{color:#AA4B00}={color}use_threads{color:#AA4B00},{color}
metadata{color:#AA4B00}={color}metadata{color:#AA4B00},{color}
{color:#006400}-> 1152{color}{color:#AA4B00}
use_pandas_metadata=use_pandas_metadata) {color}{color:#006400} 1153{color}
{color:#006400} 1154{color} pf {color:#AA4B00}={color}
ParquetFile{color:#AA4B00}({color}source{color:#AA4B00},{color}
metadata{color:#AA4B00}={color}metadata{color:#AA4B00}){color}
{color:#006400}/databricks/python/lib/python3.5/site-packages/pyarrow/filesystem.py{color}
in {color:#4682b4}read_parquet{color}{color:#00008b}(self, path, columns,
metadata, schema, use_threads, use_pandas_metadata){color} {color:#006400}
177{color} {color:#006400}from{color} pyarrow{color:#AA4B00}.{color}parquet
{color:#006400}import{color} ParquetDataset {color:#006400} 178{color} dataset
= ParquetDataset(path, schema=schema, metadata=metadata, {color:#006400}-->
179{color}{color:#AA4B00} filesystem=self) {color}{color:#006400} 180{color}
return dataset.read(columns=columns, use_threads=use_threads, {color:#006400}
181{color} use_pandas_metadata=use_pandas_metadata)
{color:#006400}/databricks/python/lib/python3.5/site-packages/pyarrow/parquet.py{color}
in {color:#4682b4}__init__{color}{color:#00008b}(self, path_or_paths,
filesystem, schema, metadata, split_row_groups, validate_schema, filters,
metadata_nthreads, memory_map){color} {color:#006400} 933{color}
self{color:#AA4B00}.{color}metadata_path{color:#AA4B00}){color}
{color:#AA4B00}={color} _make_manifest{color:#AA4B00}({color} {color:#006400}
934{color} path_or_paths{color:#AA4B00},{color}
self{color:#AA4B00}.{color}fs{color:#AA4B00},{color}
metadata_nthreads{color:#AA4B00}={color}metadata_nthreads{color:#AA4B00},{color}
{color:#006400}--> 935{color}{color:#AA4B00}
open_file_func=self._open_file_func) {color}{color:#006400} 936{color}
{color:#006400} 937{color} {color:#006400}if{color}
self{color:#AA4B00}.{color}common_metadata_path {color:#006400}is{color}
{color:#006400}not{color} {color:#006400}None{color}{color:#AA4B00}:{color}
{color:#006400}/databricks/python/lib/python3.5/site-packages/pyarrow/parquet.py{color}
in {color:#4682b4}_make_manifest{color}{color:#00008b}(path_or_paths, fs,
pathsep, metadata_nthreads, open_file_func){color} {color:#006400} 1108{color}
{color:#006400}if{color} {color:#006400}not{color}
fs{color:#AA4B00}.{color}isfile{color:#AA4B00}({color}path{color:#AA4B00}){color}{color:#AA4B00}:{color}
{color:#006400} 1109{color} raise IOError('Passed non-file path: \{0}'
{color:#006400}-> 1110{color}{color:#AA4B00} .format(path))
{color}{color:#006400} 1111{color} piece {color:#AA4B00}={color}
ParquetDatasetPiece{color:#AA4B00}({color}path{color:#AA4B00},{color}
open_file_func{color:#AA4B00}={color}open_file_func{color:#AA4B00}){color}
{color:#006400} 1112{color}
pieces{color:#AA4B00}.{color}append{color:#AA4B00}({color}piece{color:#AA4B00}){color}
{color:#8b0000}OSError{color}: Passed non-file path: /mnt/aa/example.parquet
I am using the following code from a Databricks notebook to reproduce the issue:
{color:#005000}%sh
{color}
{color:#005000}sudo apt-get -y install python3-pip
/databricks/python3/bin/pip3 uninstall pandas -y
/databricks/python3/bin/pip3 uninstall numpy -y{color}
{color:#005000}{color:#b08000}/databricks/python3/bin/pip3 uninstall pyarrow
-y{color}{color}
{color:#005000}{color:#b08000}{color:#b08000}%sh
/databricks/python3/bin/pip3 install numpy==1.14.0
/databricks/python3/bin/pip3 install pandas==0.24.1
/databricks/python3/bin/pip3 install pyarrow==0.13.0{color}{color}{color}
{color:#005000}{color:#b08000}{color:#b08000}{color:#b08000}dbutils.fs.mount(
source = "wasbs://<mycontainer>@<mystorageaccount>.blob.core.windows.net",
mount_point = "/mnt/aa",
extra_configs =
\{"fs.azure.account.key.<mystorageaccount>.blob.core.windows.net":dbutils.secrets.get(scope
= "storage", key = "blob_key")}){color}{color}{color}{color}
{color:#005000}{color:#b08000}{color:#b08000}{color:#b08000}pddf2 =
pd.read_parquet("/mnt/aa/example.parquet", engine='pyarrow')
display(pddf2){color}{color}{color}{color}
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