write-parquet-row-groups.md
In nanoparquet: Read and Write 'Parquet' Files

errors

Code
  parquet_options(num_rows_per_row_group = "foobar")
Condition
  Error in `as_count()`:
  ! num_rows_per_row_group must be a count, i.e. an integer scalar

Code
  write_parquet(df, tmp, row_groups = "foobar")
Condition
  Error in `parse_row_groups()`:
  ! Row groups must be specified as a growing positive integer vector, starting with 1.
Code
  write_parquet(df, tmp, row_groups = c(100L, 1L))
Condition
  Error in `parse_row_groups()`:
  ! Row groups must be specified as a growing positive integer vector, starting with 1.
Code
  write_parquet(df, tmp, row_groups = c(1L, 100L))
Condition
  Error in `write_parquet()`:
  ! Internal nanoparquet error, row index too large

non-factors write local dictionary

Code
  for (do in dict_ofs) {
    print(read_parquet_page(tmp, do)[["data"]])
  }
Output
  [1] 01 00 00 00 61
  [1] 01 00 00 00 61
   [1] 01 00 00 00 61 01 00 00 00 62
  [1] 01 00 00 00 62
  [1] 01 00 00 00 62
  [1] 01 00 00 00 63
  [1] 01 00 00 00 63
  [1] 01 00 00 00 63