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Posted to github@arrow.apache.org by "westonpace (via GitHub)" <gi...@apache.org> on 2023/06/09 20:20:00 UTC

[GitHub] [arrow] westonpace commented on issue #35756: [R][C++] open_dataset and open_csv_dataset do not use skip argument

westonpace commented on issue #35756:
URL: https://github.com/apache/arrow/issues/35756#issuecomment-1585085230

   I had an R environment setup today and so I debugged this for a bit.  @thisisnic , I had, offline, pointed you at https://github.com/apache/arrow/blob/8b2ab4d8200fdd414b85d531f1cef4b58a3ce351/cpp/src/arrow/csv/reader.cc#L602 as the point where we handle autogenerated column names.
   
   However, I had forgotten that we also (rather embarassingly :) have a duplicated copy of this logic in the datasets module here: https://github.com/apache/arrow/blob/8b2ab4d8200fdd414b85d531f1cef4b58a3ce351/cpp/src/arrow/dataset/file_csv.cc#L179
   
   The logic in the dataset module is slightly different than the logic in the reader module.  It is (omitting some stuff):
   
   ```
     int32_t max_num_rows = read_options.skip_rows + 1;
     csv::BlockParser parser(pool, parse_options, /*num_cols=*/-1, /*first_row=*/1,
                             max_num_rows);
   
     RETURN_NOT_OK(parser.Parse(std::string_view{first_block}, &parsed_size));
   
     if (read_options.autogenerate_column_names) {
       column_names.reserve(parser.num_cols());
   ```
   
   So we give the skipped rows to the parser (this is different than the reader.cc logic where we skip the rows outside the parser and then only give the first non-skipped row to the parser).
   
   When we are not auto-generating column names then I think we kind of get away with it because we call `parser.VisitLastRow` which only really depends on the contents of the last row.
   
   On the other hand, if the user is asking to autogenerate the column names we use `parser.num_cols()`.  This calculation is based on the first row the parser sees!
   
   I'm attaching a very clumsy sketch of a fix (which I verified works in OPs reprex) that just copy/pastes code from the reader so we can handle skipping in the exact same way.  This sketch is also missing unit tests.
   
   I think a good long-term fix would be to eliminate this duplicate path entirely.  This could be done by adding an "inspect" method (or PeekMetadata or GetColumnNames or something) to the CSV reader.  Then the datasets API could use that instead of re-inventing the wheel.


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