更新：spark

file_path="file:///user/vikrant/inputfiles/multiquery.csv"
df=spark.read.format("com.databricks.spark.csv").option("header", "true").load(file_path)

+---+-------------------------------+
|id |query                          |
+---+-------------------------------+
|1  |select * from exampledate      |
|2  |select * from test             |
|3  |select * from newpartitiontable|
+---+-------------------------------+

def customFunction(row):
    for row in df.rdd.collect():
        item=(row[1])
        filename=(row[0])
        query=""
        query+=str(item)
        newdf=spark.sql(query)
        savedataframe(newdf,filename)

def savedataframe(newdf,filename):
    newdf.coalesce(1).write.csv("/user/dev/hadoop/external/files/file_" + filename + ".csv")

customFunction(df)

drwxr-xr-x   - vikct001 hdfs          0 2019-08-02 11:49 /user/dev/hadoop/external/files/file_1.csv
drwxr-xr-x   - vikct001 hdfs          0 2019-08-02 11:49 /user/dev/hadoop/external/files/file_2.csv
drwxr-xr-x   - vikct001 hdfs          0 2019-08-02 11:49 /user/dev/hadoop/external/files/file_3.csv

更新：使用pandas，我在sql server上没有几个测试表，我正在将它们读取到pandas dataframe中，正如您在问题中提到的，并将查询结果保存到每个不同的文件中，重命名为dataframe的第一列：

import pandas as pd
import pyodbc
from pandas import DataFrame

connection = pyodbc.connect('Driver={ODBC Driver 13 for SQL Server};SERVER=yourservername;DATABASE=some_db;UID=username;PWD=password')
cursor = connection.cursor()

data=[['1','select * from User_Stage_Table'],['2','select * from User_temp_Table']]
df=pd.DataFrame(data,columns=['id','query'])

def get_query(df):
    a=df.values.tolist()
    for i in a:
        query=i[1]    #reading second column value as query
        filename=i[0] #reading first column value as filename
        write_query(query,filename) #calling write_query function 

def write_query(query,filename):
    df=pd.read_sql_query(query,connection)
    df.to_csv(outfile_location+filename+".txt",sep=',',encoding='utf-8',index=None,mode='a')

get_query(df)  #calling get_query function to build the query
out_file_location='G:\Testing\OutputFile\outfile'

输出文件名为： outfile1.txt #这将有表的数据
User_Stage_Table outfile2.txt #这将有表的数据 User_temp_Table' 让我知道如果这解决了你的问题或面临任何问题进一步。