遍历文本文件中的 SQL 个查询并执行 - pyodbc

Question

我有一个带有 SQL 查询的管道分隔文本文件。我正在尝试循环并执行每个查询。当我在循环中打印文件中的查询时，一切似乎都很好。如果我在 SSMS 中复制文本和运行，SQL 运行没问题，但是当我尝试使用 pyodbc 执行时，出现错误：

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

这是我的代码：

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()

Returns:

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)

等等

我错过了什么？

谢谢

Answer 1

我明白了。我需要执行查询，然后遍历 cursor.fetchall() 的结果。这是我的代码：

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]

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