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  1. Apache Arrow
  2. ARROW-6923

[C++] Option for Filter kernel how to handle nulls in the selection vector

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    • Type: Improvement
    • Status: Closed
    • Priority: Major
    • Resolution: Duplicate
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: C++
    • Labels:
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      Description

      How nulls are handled in the boolean mask (selection vector) in a filter kernel varies between languages / data analytics systems (e.g. base R propagates nulls, dplyr R skips (sees as False), SQL generally skips them as well I think, Julia raises an error).

      Currently, in Arrow C++ we "propagate" nulls (null in the selection vector gives a null in the output):

      In [7]: arr = pa.array([1, 2, 3]) 
      
      In [8]: mask = pa.array([True, False, None]) 
      
      In [9]: arr.filter(mask) 
      Out[9]: 
      <pyarrow.lib.Int64Array object at 0x7fefe44b3048>
      [
        1,
        null
      ]
      

      Given the different ways this could be done (propagate, skip, error), should we provide an option to control this behaviour?

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              • Assignee:
                Unassigned
                Reporter:
                jorisvandenbossche Joris Van den Bossche
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