I need home help handling the new “PerformanceWarning: Falling back on a non-pyarrow code path which may decrease performance” reported by dask when running operations over some no pyarrow dtypes.

As far as I´ve read, pyarrow dtypes have better performance and lower memory consumptions! (that’s great!), but I am struggling to understand how do I convert my parquet/pandas dataframe to arrow types before running my operations!

sample dataframe

import dask.dataframe as dd
import pandas as pd
import numpy as np

dataframe = pd.DataFrame({
    'status' :  ['pending', 'pending','pending', 'canceled','canceled','canceled', 'confirmed', 'confirmed','confirmed'],
    'clientId' : ['A', 'B', 'C', 'A', 'D', 'C', 'A', 'B','C'],
    'partner' :  ['A', np.nan,'C', 'A',np.nan,'C', 'A', np.nan,'C'],
    'product' : ['afiliates', 'pre-paid', 'giftcard','afiliates', 'pre-paid', 'giftcard','afiliates', 'pre-paid', 'giftcard'],
    'brand' : ['brand_1', 'brand_2', 'brand_3','brand_1', 'brand_2', 'brand_3','brand_1', 'brand_3', 'brand_3'],
    'gmv' : [100,100,100,100,100,100,100,100,100]})

dataframe = dataframe.astype({'clientId':'string','partner':'string','status':'string','product':'string', 'brand':'string'})
dataframe = dd.from_pandas(dataframe, npartitions = 1)

Now I run the str replace operation

dataframe['brand_test'] = dataframe['brand']
dataframe['brand_test'] = dataframe['brand_test'].str.replace('brand_1', 'PlayStation', case=False, regex = False)

and I get this warning for every single row in my DF.

c:UsersF3164582AppDataLocalProgramsPythonPython311Libsite-packagesdask_expr_accessor.py:102: PerformanceWarning: Falling back on a non-pyarrow code path which may decrease performance.
  out = getattr(getattr(obj, accessor, obj), attr)(*args, **kwargs)

1) If I want, how do I silence this warning?

2) How do I “solve” this? Could I change the datatype to pyarrow string before the replace operation?

3) If pyarrow dtypes are so much better, how do I convert my hole dataframe to equivalent pyarrow datatype? Why does pandas/dask just does not convert it automatically?

Thanks in advance!