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  1. Apache Arrow
  2. ARROW-8799

[C++][Dataset] Reading list column as nested dictionary segfaults

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    Description

      Python example:

      import pyarrow as pa
      import pyarrow.parquet as pq  
      from pyarrow.tests import util                                                                                                                                                                             
                                                                                                                                                                            
      repeats = 10 
      nunique = 5 
      
      data = [ 
          [[util.rands(10)] for i in range(nunique)] * repeats, 
      ] 
      table = pa.table(data, names=['f0'])                                                                                                                                                                   
      
      pq.write_table(table, "test_dictionary.parquet")
      

      Reading with the parquet code works:

      >>> pq.read_table("test_dictionary.parquet", read_dictionary=['f0.list.item'])                                                                                                                                  
      pyarrow.Table
      f0: list<item: dictionary<values=string, indices=int32, ordered=0>>
        child 0, item: dictionary<values=string, indices=int32, ordered=0>
      

      but doing the same with the datasets API segfaults:

      >>> fmt = ds.ParquetFileFormat(read_options=dict(dictionary_columns=["f0.list.item"]))
      >>> dataset = ds.dataset("test_dictionary.parquet", format=fmt)                                                                       
      >>> dataset.to_table()      
      Segmentation fault (core dumped)
      

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            bkietz Ben Kietzman Assign to me
            jorisvandenbossche Joris Van den Bossche
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