Why doesn’t pyodbc work with fast execution?
The only problem is that without fast_executemany, it’s slow. fast_executemany can increase the performance of execution operations by greatly reducing the number of round trips to the server. This is the main reason I wanted to fix this.
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How to install pyodbc library on SQL Server?
To work with the pyodbc library, you must first install it. In Python environments, you can use pip installers to install Python libraries. Before you can run Python SQL queries on MS SQL Server, from a Python application, run the following command in the terminal to install the pyodbc library:
What is the ODBC driver that pyodbc uses?
pyODBC uses the Microsoft ODBC Driver for SQL Server. If your ODBC driver version is 17.1 or later, you can use the ODBC driver’s AAD interactive mode through pyODBC. This AAD interactive option works if both Python and pyODBC allow the ODBC driver to open the dialog. This option is only available on the Windows operating system.
Is there an interactive option for pyodbc in Python?
This interactive option works if both Python and pyODBC allow the ODBC driver to display the dialog. The option is only available on Windows operating systems. The following example provides an ODBC connection string that specifies interactive Azure Active Directory authentication:
How to speed up SQL Server inserts with pyodbc?
Usually, to speed up inserts with pyodbc, I tend to use the cursor.fast_executemany = True function, which speeds up inserts significantly. However, today I experienced a strange error and started digging into how fast_executemany actually works.
Why is pyodbc trying to convert varchar to numeric?
Programming error: [Microsoft] [Controlador ODBC 17 para SQL Server] [SQL Server] Error converting data type varchar to numeric. (SQLExecute) Why is pyodbc trying to convert something from varchar to numeric?
When do you run fast many=true in Python?
This issue only occurs when fastexecute_many = True. The memory corruption, which I also observed, could be a Python issue with handling exceptions and large arrays.