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Python and SQL Server

Setting up Python to connect to SQL Server was relatively easy. First, you select a DB API driver. I chose pyodbc because I saw a Python article on Simple-Talk. There are two simple steps:

  1. Install Pywin32. Get the latest. It’s a dependency for pyodbc.
  2. Install pyodbc. Get it for the version of Python you’re using.

Once you’ve done this, you can query your SQL Server db as so:

import pyodbc

connection = pyodbc.connect('DRIVER={SQL Server};SERVER=;DATABASE=MyAwesomeDB;UID=sa;PWD=password')
cursor = connection.cursor()

cursor.execute("select * from states")

for row in cursor:
  print row.StateID, row.Abbreviation, row.Name

For more snippets and a tutorial, check out the documentation.

Now let’s try something more interesting. Let’s try doing some inserts and see how long it takes.

import win32api
import uuid
import pyodbc 

connection = pyodbc.connect('DRIVER={SQL Server};SERVER=;DATABASE=MrSkittles;UID=sa;PWD=password')
cursor = connection.cursor()

_start = win32api.GetTickCount()

for i in range( 0, 10000 ):  
  # Let's insert two pieces of data, both random UUIDs. 
  sql = "INSERT INTO Manager VALUES( '" + str( uuid.uuid4() ) + "', '" + str( uuid.uuid4() ) + "' )"  
  cursor.execute( sql )

_end = win32api.GetTickCount()
_total = _end - _start

print "\n\nProcess took", _total * .001, "seconds"

After some tests, 10,000 records took roughly 20-30 seconds. 1,000,000 records took 30 to 40 minutes. A bit slow, but it’s not a server machine. My machine is a Core Duo, 1.8Ghz x 2, at ~4GB with PAE on WindowsXP, but I ran this on a VMware VM with 1GB and SQL Server 2005 w/Windows Server 2003. The table was a two column table both varchar(50). On a server machine, it should be a helluva lot faster.


Python, SQL Server

Dan View All

Blog owner.

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