2017-05-07 42 views
0

我有一个带SQL查询的管道分隔文本文件。我试图循环并执行每个查询。当我在循环中的文件中打印查询时,一切似乎都很好。如果我复制SSMS文字和运行时,SQL运行良好,但是当我试图用pyodbc执行,我得到的错误:在文本文件中循环执行SQL查询并执行 - pyodbc

ProgrammingError: No results. Previous SQL was not a query. 

这里是我的代码:

with open('C:/users/a/tria_file_by_ASLOB12.csv', 'r') as queryFile: 
    for line in queryFile: 
     fields = line.split('|') 
     print fields[0] 
     #cursor.execute(fields[0]) 
     #cursor.fetchall() 

返回:

SELECT COUNT(DISTINCT(pol_num)) In_Force_Count, sum(lmt_pol_s) Exposure 

      FROM bapu.dbo.fact_prem 

      WHERE aslob = 90 

      and CONCAT(2016,1231) between CAST(d_pol_eff AS DATE) and CAST(d_pol_exp AS DATE) 

      and cvg_state = 'WA' 

      and rpt_co_name in (SELECT Ent_Name FROM NAIC_Legal_Ent_Lookup WHERE ID = 40045) 


SELECT COUNT(DISTINCT(pol_num)) In_Force_Count, sum(lmt_pol_s) Exposure 

      FROM bapu.dbo.fact_prem 

      WHERE aslob = 90 

      and CONCAT(2016,1231) between CAST(d_pol_eff AS DATE) and CAST(d_pol_exp AS DATE) 

      and cvg_state = 'WI' 

      and rpt_co_name in (SELECT Ent_Name FROM NAIC_Legal_Ent_Lookup WHERE ID = 40045) 

我缺少什么?

谢谢

+0

什么是'fields [0]'的类型,你可以打印出来吗? –

+0

我刚刚使用条件'pyodbc execute multiple statements'执行搜索。返回的第一个结果是http://stackoverflow.com/questions/38856534/execute-sql-file-with-multiple-statements-separated-by-using-pyodbc。我希望它或其他人帮助。 – toonice

回答

0

我想通了。我需要执行查询,然后遍历cursor.fetchall()的结果。这里是我的代码:

row_iterator = df.iterrows() 
_, last = row_iterator.next() # take first item from row_iterator 
resultFile = open('C:\\Users\\pathtofile\\file.csv', 'w') 

for i, row in row_iterator: 
    row1 = (int(row['LEGAL_ENTITY']), int(row['CY_YE']), 
int(row['TRIP_ASLOB']), row['CVG_ST'], int(row['Row'])) 
    row2 = (last['LEGAL_ENTITY'], last['CY_YE'], last['TRIP_ASLOB'], 
last['CVG_ST'], int(row['Row'])) 
    last = row 
    data = row1 
    query= """SELECT COUNT(DISTINCT(pol_num)) In_Force_Count, 
sum(distinct(lmt_pol_s)) Exposure 
       FROM bapu.dbo.xxx 
       WHERE aslob = {} 
       and CONCAT({},1231) between CAST(d_pol_eff AS DATE) and 
CAST(d_pol_exp AS DATE) 
       and cvg_state = '{}' 
       and rpt_co_name in (SELECT Ent_Name FROM NAIC_Legal_Ent_Lookup 
WHERE ID = {}) 
       and (cvg_desc = 'tria' or cvg_desc like '%terrorism%') 
       """.format(data[2],data[1],data[3], data[0]) 
    cursor.execute(query) 
    for row in cursor.fetchall(): 
     resultFile.write("{} {} {} {} {} {} {} \n".format(row[0], row[1], 
data[2], data[1], data[3], data[0], data[4])) 
     print row[0], row[1], data[2], data[1], data[3], data[0], data[4]