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05.05.2015 · If the stored procedure returns a single-row result set with a single column then all you need to do is import pyodbc cnxn = pyodbc.connect ("DSN=myDb_SQLEXPRESS") crsr = cnxn.cursor () sql = """\ EXEC [dbo].proc_mySP @group = 37, @description = ?; """ crsr.execute (sql, ['foo']) the_result = crsr.fetchone () [0] print (the_result) Share

Notice that the result set(s) created by the stored procedure are returned first, followed by the result set with the output parameter(s) as returned by the ...

17 timer siden · One of the functions executes a stored procedure which in turn executes sub procedures, each of which produce a results set. in T-SQL: CREATE PROCEDURE usp_proc_1 AS SELECT GETDATE () AS 'Date' GO CREATE PROCEDURE usp_proc_2 AS EXEC usp_proc_1 SELECT 1 AS 'number' GO EXEC usp_proc_2

So I have a stored proc on a local sql server, this returns multiple data sets / tablesNormally, in python / pyodbc I would use cursor.nextset()subset1 ...

Jun 28, 2014 · import time import pyodbc connection = pyodbc.connect('DRIVER={SQL Server};SERVER=<hostname>;PORT=1433;DATABASE=<database name>;UID=<database user>;PWD=password;CHARSET=UTF-8;') cursor = connection.cursor() TIMEOUT = 20 # Max number of seconds to wait for procedure to finish execution params = ['value1', 2, 'value3'] cursor.execute("BEGIN EXEC dbo.sp_StoredProcedureName ?, ?, ?

Previous SQL was not a query. If the stored procedure returns a single-row result set with a single column then all you need to do is import pyodbc ...

17 hours ago · I think this is because although the outer procedure looks like it returns two data sets, the inner procedure creates the first one and this is all that the fetchall () is seeing. if the stored procedure was. CREATE PROCEDURE usp_proc_3 SELECT GETDATE () AS 'Date' SELECT 1 AS 'Number' GO EXEC usp_proc_3. then fetchall () would work as expected.

# # Illustrates the most basic call, in the form : # # {CALL pyMulti_Result_Sets ()} # # ODBC USAGE : # Connects to Data Source using Data Source Name # Creates cursor on the connection # Drops and recreates a procedure 'pySelect_Records' # Executes the procedure using cursor.execute() # Calls cursor.fetchall() to retrieve a rowset of all rows # For each record displays column values # Calls cursor.nextset() to check another set of results are # available.

... DESCRIPTION : # Simple ODBC (pyodbc) example to SELECT data from two tables # via a stored procedure, returning more than one set of # results.

Notice that the result set (s) created by the stored procedure are returned first, followed by the result set with the output parameter (s) as returned by the SELECT statement in the anonymous code block passed to the pyodbc .execute method. Similarly, for a SQL Server stored procedure with a RETURN value we can use something like this:

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 ...

Don't forget SET NOCOUNT ON in your stored procedure. Answered By: Eman4real. Answer #4: Another flavour of Gord's answer is using OUTPUT and named parameters ...

Dec 27, 2021 · A nonscrollable cursor is opened in a procedure on a result set named RS of 100 rows. The procedure fetches the first five rows of result set RS. The procedure returns to its caller. The result set RS returned to the caller consists of rows from 6 through 100 of RS, and the cursor in the caller is positioned before the first row of RS.

20.02.2015 · 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

16.12.2015 · I'm having trouble executing a SQL Server stored procedure with Python 3.4. I'm importing Pyodbc to create the connection and have a few lines that are supposed to sent data to a stored procedure. ...

... http://code.google.com/p/pyodbc/wiki/StoredProcedures ... def CallStoredProc(conn, procName, *args): sql = """SET NOCOUNT ON; ...

Oct 01, 2014 · First confirm expected results calling the stored procedure using pyodbc: import pandas as pd import pyodbc connection = pyodbc.connect(driver='{SQL Server Native Client 11.0}', server='ServerInstance', database='AdventureWorks2008R2', trusted_connection='yes') sql = "{call dbo.uspGetEmployeeManagers(?)}" params = (3,) cursor = connection.cursor() rows = cursor.execute(sql, params).fetchall() print(rows)

Python ODBC Example -- Stored Procedures - Returning multiple results sets Download ODBC Drivers for Oracle®, SQL Server, Salesforce, MongoDB, Access, Derby, InterBase & DB2.

This is the call from python, I used pyodbc:,Then create a stored procedure with an output parameter., ...

Aug 05, 2019 · cnxn = pyodbc.connect(f'DRIVER={{ODBC Driver 17 for SQL Server}};SERVER={host};DATABASE={db};UID={user};PWD={password}') sql = """\ SET NOCOUNT ON; DECLARE @return_value nvarchar(max); EXEC @return_value = [dbo].[procname] 'someInputParam'; SELECT 'Return Value' = @return_value; """ crsr = cnxn.execute(sql) data = crsr.fetchall() print(data) crsr.nextset() data = crsr.fetchall() print(data)

In addition to returning output parameters, a stored procedure can return a result set (that is, a result table associated with a cursor opened in the stored procedure) to the application that issues the CALL statement. The application can then issue fetch requests to read the rows of the result set cursor.