I am trying to import a pandas dataframe to Microsoft SQL Server. Even though, the command is correct and executed successfully, when I select the first 1000 rows of the table in SQL server only the last row of the imported dataframe is shown.
I have the latest version of SQL Server (downloaded yesterday)
Do you know what's causing this?
SQL Code (Stored procedure)
USE [Movies_Dataset]
GO
/****** Object: StoredProcedure [dbo].[store_genres] Script Date: xxx ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
ALTER PROCEDURE [dbo].[store_genres]
@Movie_Title NVARCHAR(MAX),
@Genres NVARCHAR(MAX)
AS
BEGIN
DROP TABLE IF EXISTS [dbo].[table_genres];
CREATE TABLE [dbo].[table_genres]([@Movie_Title] NVARCHAR(MAX),
[@Genres] NVARCHAR(MAX)
)
INSERT INTO [dbo].[table_genres]
VALUES
( @Movie_Title,
@Genres
)
END;
Python script to import the data
connStr = pyodbc.connect("DRIVER={SQL Server Native Client 11.0};"
"SERVER=LAPTOP-IFTEP7AL;"
"DATABASE=Movies_Dataset;"
"Trusted_Connection=yes")
cursor = connStr.cursor()
delete_table = """
IF dbo.TableExists('table_genres') = 1
DELETE FROM table_genres
"""
insert_values = """
EXEC [dbo].[store_genres] @Movie_Title = ?, @Genres = ?;
"""
cursor.execute(delete_table)
for index, row in genres.iterrows():
params = (row['title'], row['genres'])
cursor.execute(insert_values, params)
connStr.commit()
cursor.close()
connStr.close()
Dataframe I want to import
SQL Result

