如何使用 python 将列表数据传递到 SQL 服务器中的插入语句？

Question

I'm new to python and creating a python app to insert data into the SQL server table. I'm trying it in the following way but it gives me an error.

This is my code

import pyodbc

conn = pyodbc.connect('Driver={SQL Server};'
                      'Server=.\SQLEXPRESS;'
                      'Database=company_mine;'
                      'Trusted_Connection=yes;')

datalist = ['KFC', ' kfc', '71 Tottenham Ct Rd', 'London', 'null', 'null', 'London']

sql_insert_query1 = """INSERT INTO company_details(company_name,contact_name,mailing_street,mailing_city,mailing_state,mailing_postal_code,mailing_country)VALUES(%s)"""

cursor1 = conn.cursor()
cursor1.executemany(sql_insert_query1, datalist)
conn.commit()
print(cursor1.rowcount, "Record inserted successfully")

Please help me to solve this problem.

Answer 1

It seems you only want to insert a single row in your table. In that case, try replacing the line

cursor1.executemany(sql_insert_query1, datalist)

with

cursor1.execute(sql_insert_query1, datalist)

cursor1.executemany expects to be given a list of lists of values, and will execute the statement it has been given once for each list in the list of lists. For example, if you had two rows to insert, your datalist variable might look like the following (I've made up details for the second row):

datalist = [
    ['KFC', ' kfc', '71 Tottenham Ct Rd', 'London', 'null', 'null', 'London'],
    ['LGN', ' lgn', '72 High Street', 'Birmingham', 'null', 'null', 'Birmingham']
]

If you passed this to cursor.executemany , it would run two INSERT statements, one using the values in the first list within datalist , and one using the values in the second list.

---

I've noticed another couple of problems with your code. Firstly, the SQL statement in sql_insert_query1 contains only a single %s placeholder. You need to have one for each column. You have seven columns, so replace VALUES(%s) with VALUES(%s,%s,%s,%s,%s,%s,%s) .

Also, I note that you are attempting to insert the string 'null' into some of the above columns. This won't insert a SQL NULL value, instead, it will insert the text null into that column, which you might not want. Use the Python None value to represent a SQL NULL value.