When i want to add data from csv file as seperated ‘t’ and i used COPY and Insert into in my python script but i got some error like

Java.lang.RuntimeException: java.lang.AssertionError: Attempted serializing to buffer exceeded maximum of 65535 bytes: 1700053

Code:

def pd_to_cassandra_type(pd_series):
    if pd.api.types.is_integer_dtype(pd_series):
        return 'bigint'
    elif pd.api.types.is_float_dtype(pd_series):
        return 'double'
    else:
        return 'text'
    

def clean_column_name(name):
    name = re.sub(r'W+', '_', name)
    if name[0].isdigit():
        name = '_' + name
    return name



def create_table(session, keyspace_name, table_name, column_definition):
    session.execute(f"""
    CREATE KEYSPACE IF NOT EXISTS {keyspace_name}
    WITH REPLICATION = {{ 'class': 'SimpleStrategy', 'replication_factor': 1 }}
    """)

    session.set_keyspace(keyspace_name)

    session.execute(f"""
    CREATE TABLE IF NOT EXISTS {table_name} (
        {column_definition},
        id UUID PRIMARY KEY
    )
    """)

def split_and_load_data():
    file_path = 'path/to/your/large_file.tab'
    keyspace_name = 'my_keyspace'
    table_name = "my_table"

    data = pd.read_csv(file_path, delimiter='t')

    # Clean and reassign column names
    data.columns = [clean_column_name(col) for col in data.columns]

    user = "user_name"
    password = "1234"

    auth_provider = PlainTextAuthProvider(username=user, password=password)
    cluster       = Cluster(["192.12.4.5"], auth_provider=auth_provider, connect_timeout=1000, control_connection_timeout=1000)
    session       = cluster.connect()
    column_definitions = ", ".join([f"{col}" text for col in data.columns]

    # İlk sütun grubuna göre tabloyu oluşturun
    create_table(session, keyspace_name, table_name, column_definitions)
    copy_command = f"cqlsh {"192.12.4.5"} -e "COPY {keyspace}.{table} ({', '.join(data.columns)}) FROM '{file_path}' WITH DELIMITER='t' AND HEADER=TRUE;""
    subprocess.run(copy_command, shell=True, check=True)

CSV data size approximately 500 MB. Normally cassandra should support to load the data but i got some error. Are there any idea ?