I'm have a stored procedure, code:
DECLARE @RC int
DECLARE @id varchar(13)
DECLARE @pw varchar(13)
DECLARE @depart varchar(32)
DECLARE @class varchar(12)
DECLARE @name varchar(12)
DECLARE @birthday varchar(10)
DECLARE @grade int
DECLARE @subgrade int
SELECT @id = 'test'
SELECT @pw = '12345'
SELECT @depart = 'none'
SELECT @class = 'GM'
SELECT @name = 'name'
SELECT @birthday = 'None'
SELECT @grade = 3
SELECT @subgrade = 2
EXEC @RC = [my_database].[dbo].[my_table] @id, @pw, @depart, @class, @name, @birthday, @grade, @subgrade
DECLARE @PrnLine nvarchar(4000)
PRINT 'Stored Procedure: my_database.dbo.my_table'
SELECT @PrnLine = ' Return Code = ' + CONVERT(nvarchar, @RC)
How i can make a raw sql query to create account using this procedure? I'm using flask and pyodbc.
Calling stored procedures from Python To call a stored procedure in Python, you follow the steps below: Connect to the database by creating a new MySQLConnection object. Instantiate a new MySQLCursor object from the MySQLConnection object by calling the cursor() method. Call callproc() method of the MySQLCursor object.
To call a stored procedure from a Python application, use ibm_db. callproc function. The procedure that you call can include input parameters (IN), output parameters (OUT), and input and output parameters (INOUT).
The following steps are required to connect SQL with Python: Step 1: Download and Install the free MySQL database from here. Step 2: After installing the MySQL database, open your Command prompt. Step 3: Navigate your Command prompt to the location of PIP.
From the pyodbc documentation
To call a stored procedure right now, pass the call to the execute method using either a format your database recognizes or using the ODBC call escape format. (The ODBC driver will then reformat the call for you to match the given database.)
For SQL Server you would use something like this:
# SQL Server format
cursor.execute("exec sp_dosomething(123, 'abc')")
# ODBC format
cursor.execute("{call sp_dosomething(123, 'abc')}")
So to call your procedure
id_ = 'test'
pw = '12345'
depart = 'none'
class_ = 'GM'
name = 'name'
birthday = 'None'
grade = 3
subgrade = 2
sql = 'exec [my_database].[dbo].[my_table](?, ?, ?, ?, ?, ?, ?, ?)'
values = (id_, pw, depart, class_, name, birthday, grade, subgrade)
cursor.execute(sql, (values))
The accepted answer does not address the issue of capturing the return value from the stored procedure, which can be done like this:
id_ = 'test'
pw = '12345'
depart = 'none'
class_ = 'GM'
name = 'name'
birthday = 'None'
grade = 3
subgrade = 2
sql = """\
SET NOCOUNT ON;
DECLARE @RC int;
EXEC @RC = [my_database].[dbo].[my_sp] ?, ?, ?, ?, ?, ?, ?, ?;
SELECT @RC AS rc;
"""
values = (id_, pw, depart, class_, name, birthday, grade, subgrade)
cursor.execute(sql, values)
rc = cursor.fetchval() # pyodbc convenience method similar to cursor.fetchone()[0]
Don't forget SET NOCOUNT ON in your stored procedure.
Another flavour of Gord's answer is using OUTPUT and named parameters (to be defined within the Stored procedure) for clarity.
id_ = 'test'
pw = '12345'
depart = 'none'
class_ = 'GM'
name = 'name'
birthday = 'None'
grade = 3
subgrade = 2
sql = """\
DECLARE @RC int;
EXEC [my_database].[dbo].[my_sp] @RC OUTPUT, @id_=?, @pw=?, @depart=?, @class_=?, @name=?, @birthday=?, @grade=?, @subgrade=?;
SELECT @RC AS rc;
"""
values = (id_, pw, depart, class_, name, birthday, grade, subgrade)
cursor.execute(sql, values)
rc = cursor.fetchval()
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