Joris Van den Bossche created ARROW-9105:
--------------------------------------------

             Summary: [C++] ParquetFileFragment::SplitByRowGroup doesn't handle 
filter on partition field
                 Key: ARROW-9105
                 URL: https://issues.apache.org/jira/browse/ARROW-9105
             Project: Apache Arrow
          Issue Type: Bug
          Components: C++
            Reporter: Joris Van den Bossche
             Fix For: 1.0.0


When splitting a fragment into row group fragments, filtering on the partition 
field raises an error.

Python reproducer:

```
df = pd.DataFrame({"dummy": [1, 1, 1, 1], "part": ["A", "A", "B", "B"]})
df.to_parquet("test_partitioned_filter", partition_cols="part", 
engine="pyarrow")

import pyarrow.dataset as ds
dataset = ds.dataset("test_partitioned_filter", format="parquet", 
partitioning="hive")
fragment = list(dataset.get_fragments())[0]
```

```
In [31]: dataset.to_table(filter=ds.field("part") == "A").to_pandas()           
                                                                                
                                                   
Out[31]: 
   dummy part
0      1    A
1      1    A

In [32]: fragment.split_by_row_group(ds.field("part") == "A")                   
                                                                                
                                                   
---------------------------------------------------------------------------
ArrowInvalid                              Traceback (most recent call last)
<ipython-input-32-371cba80fd6f> in <module>
----> 1 fragment.split_by_row_group(ds.field("part") == "A")

~/scipy/repos/arrow/python/pyarrow/_dataset.pyx in 
pyarrow._dataset.ParquetFileFragment.split_by_row_group()

~/scipy/repos/arrow/python/pyarrow/_dataset.pyx in 
pyarrow._dataset._insert_implicit_casts()

~/scipy/repos/arrow/python/pyarrow/error.pxi in 
pyarrow.lib.pyarrow_internal_check_status()

~/scipy/repos/arrow/python/pyarrow/error.pxi in pyarrow.lib.check_status()

ArrowInvalid: Field named 'part' not found or not unique in the schema.
```

This is probably a "strange" thing to do, since the fragment from a partitioned 
dataset is already coming only from a single partition (so will always only 
satisfy a single equality expression). But it's still nice that as a user you 
don't have to care about only passing part of the filter down to 
{{split_by_row_groups}}.




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