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Copy pathparquet_interop.py
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53 lines (42 loc) · 1.69 KB
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import os
import pytest
import fastparquet
import pandas as pd
import pyarrow as pa
import pyarrow.parquet as pq
import pandas.util.testing as tm
def hdfs_test_client(driver='libhdfs'):
host = os.environ.get('ARROW_HDFS_TEST_HOST', 'localhost')
user = os.environ['ARROW_HDFS_TEST_USER']
try:
port = int(os.environ.get('ARROW_HDFS_TEST_PORT', 20500))
except ValueError:
raise ValueError('Env variable ARROW_HDFS_TEST_PORT was not '
'an integer')
return pa.HdfsClient(host, port, user, driver=driver)
def test_fastparquet_read_with_hdfs():
fs = hdfs_test_client()
df = tm.makeDataFrame()
table = pa.Table.from_pandas(df)
path = '/tmp/testing.parquet'
with fs.open(path, 'wb') as f:
pq.write_table(table, f)
parquet_file = fastparquet.ParquetFile(path, open_with=fs.open)
result = parquet_file.to_pandas()
tm.assert_frame_equal(result, df)