P2P shuffling failed during transfer when data includes mixed type

[fjetter]

When there are object columns with mixed data types, the arrow backend cannot handle this.

The internal error that is raised in this example is

ArrowInvalid: ('cannot mix list and non-list, non-null values', 'Conversion failed for column mixed_stuff with type object')

while the user receives a generic shuffle failed exception

RuntimeError: P2P shuffling [id] failed during transfer phase

Reproducing code example

import pandas as pd
import dask.dataframe as dd
import numpy as np
from distributed import Client
with Client() as client:

    df = pd.DataFrame({
        "mixed_stuff": [{"foo": "bar"}, np.array((3,))] * 2,
        "int": [1, 2] * 2,
    })
    ddf = dd.from_pandas(df, npartitions=2)
    ddf.shuffle(on="int").compute()

[Cognitus-Stuti]

were you able to find a solution to the same?