I am trying to get information from an SQL database using python
I was able to connect and retrieve data when the SQL statement was simple such as
cursor.execute("SELECT * FROM Client WHERE UsesTimesheet = 1 ORDER BY ClientName")
However, when I move to a more complex statement I get the error shown below
Traceback (most recent call last):
File "F:\Python\Test - AutoCad.py", line 30, in <module>
where jobnum = 1205992")
File "C:\Python26\ArcGIS10.0\lib\site-packages\pymssql.py", line 196, in execute
raise OperationalError, e[0]
OperationalError: SQL Server message 102, severity 15, state 1, line 1:
Incorrect syntax near 'jobnum'.
This statement works when I use Microsoft SQL 2008 Client but not in Python.
What am I doing incorrectly? For complex statements should I be using SQLAlchemy?
Current Code Below
import pymssql
import _mssql
import sys
# Connect to db using Windows Integrated Authentication.
conn = _mssql.connect(server='000.000.0.0', database='Mydb', trusted=True)
conn = pymssql.connect(host='000.000.0.0', database='Mydb', trusted=True)
# prepare a cursor object using cursor() method
cursor = conn.cursor()
cursor.execute("SELECT PJI.*, PJO.*, \
CST.ABCGS \
FROM dbo.Traverse AS TRE \
LEFT OUTER JOIN dbo.TraversePreEntry AS TPE \
ON TRE.JobNum = dbo.GetJobNumberFromGroupId(TPE.GroupId)\
LEFT OUTER JOIN AutoCADProjectInformation AS PJI\
ON TRE.JobNum = PJI.JobNumber \
LEFT OUTER JOIN CalculationStorageReplacement AS CST \
ON CST.ProjectNumber = dbo.GetJobNumberFromGroupId(TPE.GroupId)\
LEFT OUTER JOIN dbo.TraverseElevations AS TEV\
ON TRE.TraverseId = TEV.TraverseId\
LEFT OUTER JOIN VGSDB.dbo.ProjectOffice PJO\
ON PJI.PjbId = PJO.PjbId\
where jobnum = 1205992")
# Fetch rows
data = cursor.fetchall()
print "Info : %s " % str(data)
Your python string is being joined together without newlines, thus there is no space before the
wherekeyword. Better use triple-quoted strings when working with multi-line string literals:Triple-quoted strings maintain newlines:
If this is a one-of you do not necessarily need to use SQLAlchemy, but as your project grows you’ll find that that library offers many advantages, including making conditional logic much easier (adding further WHERE clauses based on if/then branches, etc).