Example scripts using _mssql
module.
from pymssql import _mssql conn = _mssql.connect(server='SQL01', user='user', password='password', \ database='mydatabase') conn.execute_non_query('CREATE TABLE persons(id INT, name VARCHAR(100))') conn.execute_non_query("INSERT INTO persons VALUES(1, 'John Doe')") conn.execute_non_query("INSERT INTO persons VALUES(2, 'Jane Doe')")
# how to fetch rows from a table conn.execute_query('SELECT * FROM persons WHERE salesrep=%s', 'John Doe') for row in conn: print "ID=%d, Name=%s" % (row['id'], row['name'])
.. versionadded:: 2.1.0 Iterating over query results by iterating over the connection object just like it's already possible with ``pymssql`` connections is new in 2.1.0.
# examples of other query functions numemployees = conn.execute_scalar("SELECT COUNT(*) FROM employees") numemployees = conn.execute_scalar("SELECT COUNT(*) FROM employees WHERE name LIKE 'J%'") # note that '%' is not a special character here employeedata = conn.execute_row("SELECT * FROM employees WHERE id=%d", 13)
# how to fetch rows from a stored procedure conn.execute_query('sp_spaceused') # sp_spaceused without arguments returns 2 result sets res1 = [ row for row in conn ] # 1st result res2 = [ row for row in conn ] # 2nd result
# how to get an output parameter from a stored procedure sqlcmd = """ DECLARE @res INT EXEC usp_mystoredproc @res OUT SELECT @res """ res = conn.execute_scalar(sqlcmd)
# how to get more output parameters from a stored procedure sqlcmd = """ DECLARE @res1 INT, @res2 TEXT, @res3 DATETIME EXEC usp_getEmpData %d, %s, @res1 OUT, @res2 OUT, @res3 OUT SELECT @res1, @res2, @res3 """ res = conn.execute_row(sqlcmd, (13, 'John Doe'))
# examples of queries with parameters conn.execute_query('SELECT * FROM empl WHERE id=%d', 13) conn.execute_query('SELECT * FROM empl WHERE name=%s', 'John Doe') conn.execute_query('SELECT * FROM empl WHERE id IN %s', ((5, 6),)) conn.execute_query('SELECT * FROM empl WHERE name LIKE %s', 'J%') conn.execute_query('SELECT * FROM empl WHERE name=%(name)s AND city=%(city)s', \ { 'name': 'John Doe', 'city': 'Nowhere' } ) conn.execute_query('SELECT * FROM cust WHERE salesrep=%s AND id IN %s', \ ('John Doe', (1, 2, 3))) conn.execute_query('SELECT * FROM empl WHERE id IN %s', (tuple(xrange(4)),)) conn.execute_query('SELECT * FROM empl WHERE id IN %s', \ (tuple([3, 5, 7, 11]),))
conn.close()
Please note the usage of iterators and ability to access results by column
name. Also please note that parameters to connect method have different names
than in pymssql
module.
from pymssql import _mssql
conn = _mssql.connect(server='SQL01', user='user', password='password',
database='mydatabase')
try:
conn.execute_non_query('CREATE TABLE t1(id INT, name VARCHAR(50))')
except _mssql.MssqlDatabaseException as e:
if e.number == 2714 and e.severity == 16:
# table already existed, so quieten the error
else:
raise # re-raise real error
finally:
conn.close()
.. versionadded:: 2.1.1
You can provide your own message handler callback function that will be invoked
by the stack with informative messages sent by the server. Set it on a per
_mssql
:class:`connection <_mssql.MSSQLConnection>` basis by using the
:meth:`_mssql.MSSQLConnection.set_msghandler` method:
from pymssql import _mssql
def my_msg_handler(msgstate, severity, srvname, procname, line, msgtext):
"""
Our custom handler -- It simply prints a string to stdout assembled from
the pieces of information sent by the server.
"""
print("my_msg_handler: msgstate = %d, severity = %d, procname = '%s', "
"line = %d, msgtext = '%s'" % (msgstate, severity, procname,
line, msgtext))
cnx = _mssql.connect(server='SQL01', user='user', password='password')
try:
cnx.set_msghandler(my_msg_handler) # Install our custom handler
cnx.execute_non_query("USE mydatabase") # It gets called at this point
finally:
cnx.close()
Something similar to this would be printed to the standard output:
my_msg_handler: msgstate = x, severity = y, procname = '', line = 1, msgtext = 'Changed database context to 'mydatabase'.'
.. todo:: Add an example of invoking a Stored Procedure using ``_mssql``.