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  1. Apache Arrow
  2. ARROW-6578

[C++] Casting int64 to string columns

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      I wanted to cast a list of a tables to the same schema so I could use concat_tables later. However, I encountered ArrowNotImplementedError:

      ---------------------------------------------------------------------------
      ArrowNotImplementedError                  Traceback (most recent call last)
      <ipython-input-11-bd4916c221bf> in <module>
      ----> 1 list_tb = [i.cast(mts_schema, safe = True) for i in list_tb]
      
      <ipython-input-11-bd4916c221bf> in <listcomp>(.0)
      ----> 1 list_tb = [i.cast(mts_schema, safe = True) for i in list_tb]
      
      ~\AppData\Local\Continuum\miniconda3\envs\cyclone\lib\site-packages\pyarrow\table.pxi in itercolumns()
      
      ~\AppData\Local\Continuum\miniconda3\envs\cyclone\lib\site-packages\pyarrow\table.pxi in pyarrow.lib.Column.cast()
      
      ~\AppData\Local\Continuum\miniconda3\envs\cyclone\lib\site-packages\pyarrow\error.pxi in pyarrow.lib.check_status()
      
      ArrowNotImplementedError: No cast implemented from int64 to string
      

      Some context: I want to read and concatenate a bunch of csv files that come from partitioning of the same table. Using cast after reading csv is usually significantly faster than specifying column_types in ConvertOptions. There are string columns that are mostly populated with integer-like values so a particular file can have an integer-only column. This situation is rather common so having an option to cast int64 column to string column would be helpful.

       

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              • Assignee:
                apitrou Antoine Pitrou
                Reporter:
                Igor Yastrebov Igor Yastrebov
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