pyodbc multithreading

Hello, 
has anyone tried running a multithreaded python app using pyodbc ? 

I found that the program below serializes at second db2.cursor call in either ODBC or pyodbc so that parallelism is lost . Any ideas where the culprit is ? 

This is running on vertica 6.1.3 with 6.1.3 linux drivers on unixODBC 2.2.14

#!/usr/local/bin/python
import sys, io, os, datetime, pyodbc, threading, time
# db login info
dsn = 'VerticaDSN';password = '...';

def test():   
db = pyodbc.connect("DSN=%s;PWD=%s" % (dsn, password));   
cursor = db.cursor()   
print "first query"   
cursor.execute("create table temp.tn_foo2 as select * from ...  limit 10000000;")   
print "first query finished"


def test2():   
 print "running second query"   
 db2 = pyodbc.connect("DSN=%s;PWD=%s" % (dsn, password));   
cursor2 = db2.cursor()     cursor2.execute("select count(*) from ...;")   
  print "second finished"

print "starting thread"t=threading.Thread(target = test)
t.start()
time.sleep(1)

print "starting thread 2"t=threading.Thread(target = test2)
t.start()

Thanks,