Details
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Bug
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Status: Resolved
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Major
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Resolution: Fixed
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0.4.1
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None
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OSx, miniconda, using pyarrow build from conda-forge
Description
Panda DataFrames that have `MultiIndex`es seem to always be converted to a `Table` just fine. However, when writing the `Table` to disk using `pyarrow.parquet`, I am unable to write DataFrames whose `MultiIndex` contains a level with duplicate values (which is nearly always the case for me). Here is an example in python with working cases and a failure case at bottom:
import pandas as pd import pyarrow as pa import pyarrow.parquet as pq num_rows = 3 example = pd.DataFrame({'strs': ['foo', 'foo', 'bar'], 'nums_b': range(num_rows), 'nums_a': range(num_rows)}) def pq_write(df): table = pa.Table.from_pandas(df) pq.write_table(table, '/tmp/df.parquet') # single index works pq_write(example) pq_write(example.set_index(['nums_b'])) # single index with duplicate values work pq_write(example.set_index(['strs'])) # MultiIndex with all unique, relative to the level/column, values works pq_write(example.set_index(['nums_b', 'nums_a'])) # MultiIndex with one level with duplicate values in one index FAILS pq_write(example.set_index(['strs', 'nums_a']))
Traceback (most recent call last): File "test_arrow.py", line 26, in <module> pq_write(example.set_index(['strs', 'nums_a'])) File "test_arrow.py", line 13, in pq_write pq.write_table(table, '/tmp/df.parquet') File "/Users/bmabey/anaconda/envs/test_pyarrow/lib/python3.5/site-packages/pyarrow/parquet.py", line 702, in write_table writer.write_table(table, row_group_size=row_group_size) File "pyarrow/_parquet.pyx", line 609, in pyarrow._parquet.ParquetWriter.write_table (/Users/travis/miniconda3/conda-bld/pyarrow_1497322770287/work/arrow-46315431aeda3b6968b3ac4c1087f6d41052b99d/python/build/temp.macosx-10.9-x86_64-3.5/_parquet.cxx:11025) File "pyarrow/error.pxi", line 60, in pyarrow.lib.check_status (/Users/travis/miniconda3/conda-bld/pyarrow_1497322770287/work/arrow-46315431aeda3b6968b3ac4c1087f6d41052b99d/python/build/temp.macosx-10.9-x86_64-3.5/lib.cxx:6899) pyarrow.lib.ArrowIOError: IOError: Written rows: 2 != expected rows: 3in the current column chunk
Note that the written rows is equal to the number of unique values in the `strs` level. I have found this to always be the case when I've hit this error message.
I'm happy to write a patch for this assuming this is a bug and you can point me in the right direction.