下面的代码应该同时调用两个数据库。我试图用 ThreadPool 来做,但遇到了一些困难。pool.apply_async 似乎不允许多个参数,所以我将它们放入一个元组中,然后尝试将它们解包。这是正确的方法还是有更好的解决方案?
元组列表在 params=... 中定义,元组有 3 个条目。我希望该函数被调用两次,每次使用 3 个参数。
def get_sql(self, *params): # run with risk
self.logger.info(len(params))
sql=params[0]
schema=params[1]
db=params[2]
self.logger.info("Running SQL with schema: {0}".format(schema))
df = pd.read_sql(sql, db)
return df
def compare_prod_uat(self):
self.connect_dbrs_prod_db()
self.connect_dbrs_uat_db()
self.logger.info("connected to UAT and PROD database")
sql = """ SELECT * FROM TABLE """
params = [(sql, "DF_RISK_PRD_OWNER", self.db_dbrs_prod), (sql, "DF_RISK_CUAT_OWNER", self.db_dbrs_uat)]
pool = ThreadPool(processes=2)
self.logger.info("Calling Pool")
result_prod = pool.apply_async(self.get_sql, (sql, "DF_RISK_PRD_OWNER", self.db_dbrs_prod))
result_uat = pool.apply_async(self.get_sql, (sql, "DF_RISK_CUAT_OWNER", self.db_dbrs_uat))
# df_prod = self.get_sql(sql, "DF_RISK_PRD_OWNER", self.db_dbrs_prod)
# df_cuat = self.get_sql(sql, "DF_RISK_CUAT_OWNER", self.db_dbrs_uat)
self.logger.info("Get return from uat")
df1 = result_uat.get() # get return value from the database call
self.logger.info("Get return from prod")
df2 = result_prod.get() # get second return value from the database call
return df1, df2