我使用Streamlit作為我的數(shù)據(jù)處理和可視化框架。按照關(guān)于使用 Streamlit 進行高級緩存的文檔，關(guān)于如何創(chuàng)建數(shù)據(jù)庫連接并將它們傳遞給其他函數(shù)，我正在使用sqlite3并嘗試在運行時創(chuàng)建一個連接并傳遞“光標”，方法是：import streamlit as st# create database connection@st.cache(allow_output_mutation=True)def get_database_connection():    conn = sqlite3.connect('collect/Data/fpl.db')    c = conn.cursor()       return c在這里，我嘗試通過 傳遞我的連接 ID hash_funcs，返回創(chuàng)建的游標：# pass connections around@st.cache(allow_output_mutation=True, hash_funcs={sqlite3.Cursor:id})def get_teams_basic(c):    df_teams = sql('SELECT * FROM TeamsBasic', c)    return df_teams@st.cache(allow_output_mutation=True, hash_funcs={sqlite3.Cursor:id})def get_players_basic(c):       df_player_basic = sql('SELECT * FROM PlayersBasic', c)    return df_player_basic# and so on...這是我的sql()：def sql(query, cursor):    '''    Takes an SQL query string, and outputs a    dataframe representation of the query result.    '''    # Execute the sql query    cursor.execute(query)    # Get the query into a dataframe and set columns    df_temp = pd.DataFrame(cursor.fetchall())    df_temp.columns = [x[0] for x in cursor.description]    # Set the sql id as the dataframe index    index_column = df_temp.columns[0]    df_temp.set_index(index_column, drop=True, inplace=True)    return df_temp然后，在 處main()，我實例化數(shù)據(jù)庫連接并將光標傳遞給我的函數(shù)：def main():    c = get_database_connection()    teams(c)    players(c)if __name__ == '__main__':  main()但是當(dāng)代碼到達第二個連接時，players()出現(xiàn)以下錯誤：ProgrammingError: SQLite objects created in a thread can only be used in that same thread. The object was created in thread id 123145444151296 and this is thread id 123145454661632.我錯過了什么？