Ale*_*eks 7 python sql markers pyodbc
我使用的是Python 3.6,pyodbc,并连接到SQL Server.
我正在尝试连接到数据库,然后创建带参数的查询.
这是代码:
import sys
import pyodbc
# connection parameters
nHost = 'host'
nBase = 'base'
nUser = 'user'
nPasw = 'pass'
# make connection start
def sqlconnect(nHost,nBase,nUser,nPasw):
try:
return pyodbc.connect('DRIVER={SQL Server};SERVER='+nHost+';DATABASE='+nBase+';UID='+nUser+';PWD='+nPasw)
print("connection successfull")
except:
print ("connection failed check authorization parameters")
con = sqlconnect(nHost,nBase,nUser,nPasw)
cursor = con.cursor()
# make connection stop
# if run WITHOUT parameters THEN everything is OK
ask = input ('Go WITHOUT parameters y/n ?')
if ask == 'y':
# SQL without parameters start
res = cursor.execute('''
SELECT * FROM TABLE
WHERE TABLE.TIMESTAMP BETWEEN '2017-03-01T00:00:00.000' AND '2017-03-01T01:00:00.000'
''')
# SQL without parameters stop
# print result to console start
row = res.fetchone()
while row:
print (row)
row = res.fetchone()
# print result to console stop
# if run WITH parameters THEN ERROR
ask = input ('Go WITH parameters y/n ?')
if ask == 'y':
# parameters start
STARTDATE = "'2017-03-01T00:00:00.000'"
ENDDATE = "'2017-03-01T01:00:00.000'"
# parameters end
# SQL with parameters start
res = cursor.execute('''
SELECT * FROM TABLE
WHERE TABLE.TIMESTAMP BETWEEN :STARTDATE AND :ENDDATE
''', {"STARTDATE": STARTDATE, "ENDDATE": ENDDATE})
# SQL with parameters stop
# print result to console start
row = res.fetchone()
while row:
print (row)
row = res.fetchone()
# print result to console stop
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当我在SQL中运行没有参数的程序时,它可以工作.
当我尝试使用参数运行它时,发生了错误.
the*_*rge 16
通过ODBC的SQL语句中的参数是位置的,并用a标记?.从而:
# SQL with parameters start
res = cursor.execute('''
SELECT * FROM TABLE
WHERE TABLE.TIMESTAMP BETWEEN ? AND ?
''', STARTDATE, ENDDATE)
# SQL with parameters stop
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另外,最好避免将日期作为字符串传递.让pyodbc使用Python的datetime来处理它:
from datetime import datetime
...
STARTDATE = datetime(year=2017, month=3, day=1)
ENDDATE = datetime(year=2017, month=3, day=1, hour=0, minute=0, second=1)
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然后只需传递上述参数.如果您更喜欢字符串解析,请参阅此答案.
小智 5
如果你想像pd.to_sql()我一样使用我通过传递一个名为 chunksize 的参数来解决这个问题。
df.to_sql("tableName", engine ,if_exists='append', chunksize=50)
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希望这可以帮助
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