Save and read database for dusk dataframe

[PROehidna]

The program takes some .csv database, performs computational manipulations with them, and then saves the resulting database using the function df.to_csv(filename, index=False, mode='a', compression="gzip")
When reading back the uploaded file in Python, the column types that the dataframe had in the loop should be preserved.
How can I read a large file in one dataframe?
I do this using the following functions:

df = dd.read_csv("./genfiles/13_Apr_2022_17_18_04.gz")
    df1 = df.compute()
    df2 = (df['VAL_RUB'].sum()).compute() # Пробуем просуммировать столбец
    df_len = len(df)
    print(df.head(10))
    print("stop")

But the program gives an error

Traceback (most recent call last):
  File "c:/Users/proeh/Downloads/tt/repo/main_programm.py", line 254, in <module>
    df = dd.read_csv("./genfiles/13_Apr_2022_17_18_04.gz")
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\dask\dataframe\io\csv.py", line 578, in read
    **kwargs
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\dask\dataframe\io\csv.py", line 444, in read_pandas  
    head = reader(BytesIO(b_sample), **kwargs)
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\pandas\io\parsers.py", line 702, in parser_f
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\pandas\io\parsers.py", line 429, in _read
    parser = TextFileReader(filepath_or_buffer, **kwds)
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\pandas\io\parsers.py", line 895, in __init__
    self._make_engine(self.engine)
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\pandas\io\parsers.py", line 1122, in _make_engine    
    self._engine = CParserWrapper(self.f, **self.options)
  File "C:\Users\proeh\AppData\Local\Programs\Python\Python35\lib\site-packages\pandas\io\parsers.py", line 1853, in __init__        
    self._reader = parsers.TextReader(src, **kwds)
  File "pandas\_libs\parsers.pyx", line 542, in pandas._libs.parsers.TextReader.__cinit__
  File "pandas\_libs\parsers.pyx", line 782, in pandas._libs.parsers.TextReader._get_header
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x8b in position 1: invalid start byte

Perhaps the problem is due to saving data, but the main thing is that the data can then be read and enjoy all the benefits of dataframes with a large amount of data (about a million records)