Inserting data into a SQL server from an excel file - mysql

Question

First of all, sorry for my lack of knowledge regarding databases, this is my first time working with them.
I am having some issues trying to get the data from an excel file and putting it into a data base.
Using answers from the site, I managed to kind of connect to the database by doing this.
import pandas as pd
import pyodbc
server = 'XXXXX'
db = 'XXXXXdb'
# create Connection and Cursor objects
conn = pyodbc.connect('DRIVER={SQL Server};SERVER=' + server + ';DATABASE=' + db + ';Trusted_Connection=yes')
cursor = conn.cursor()
# read data from excel
data = pd.read_excel('data.csv')
But I dont really know what to do now.
I have 3 tables, which are connected by a 'productID', my excel file mimics the data base, meaning that all the columns in the excel file have a place to go in the DB.
My plan was to read the excel file and make lists with each column, then insert into the DB each column value but I have no idea how to create a query that can do this.
Once I get the query I think the data insertion can be done like this:
query = "xxxxxxxxxxxxxx"
for row in data:
#The following is not the real code
productID = productID
name = name
url = url
values = (productID, name, url)
cursor.execute(query,values)
conn.commit()
conn.close
Database looks like this.
https://prnt.sc/n2d2fm
http://prntscr.com/n2d3sh
http://prntscr.com/n2d3yj
EDIT:
Tried doing something like this, but i'm getting 'not all arguments converted during string formatting' Type error.
import pymysql
import pandas as pd
connStr = pymysql.connect(host = 'xx.xxx.xx.xx', port = xxxx, user = 'xxxx', password = 'xxxxxxxxxxx')
df = pd.read_csv('GenericProducts.csv')
cursor = connStr.cursor()
query = "INSERT INTO [Productos]([ItemID],[Nombre])) values (?,?)"
for index,row in df.iterrows():
#cursor.execute("INSERT INTO dbo.Productos([ItemID],[Nombre])) values (?,?,?)", row['codigoEspecificoProducto'], row['nombreProducto'])
codigoEspecificoProducto = row['codigoEspecificoProducto']
nombreProducto = row['nombreProducto']
values = (codigoEspecificoProducto,nombreProducto)
cursor.execute(query,values)
connStr.commit()
cursor.close()
connStr.close()
I think my problem is in how I'm defining the query, surely thats not the right way

Answer 1

Try this, you seem to have changed the library from pyodbc to mysql, it seems to expect %s instead of ?
import pymysql
import pandas as pd
connStr = pymysql.connect(host = 'xx.xxx.xx.xx', port = xxxx, user = 'xxxx', password = 'xxxxxxxxxxx')
df = pd.read_csv('GenericProducts.csv')
cursor = connStr.cursor()
query = "INSERT INTO [Productos]([ItemID],[Nombre]) values (%s,%s)"
for index,row in df.iterrows():
#cursor.execute("INSERT INTO dbo.Productos([ItemID],[Nombre]) values (%s,%s)", row['codigoEspecificoProducto'], row['nombreProducto'])
codigoEspecificoProducto = row['codigoEspecificoProducto']
nombreProducto = row['nombreProducto']
values = (codigoEspecificoProducto,nombreProducto)
cursor.execute(query,values)
connStr.commit()
cursor.close()
connStr.close()