使用 Visual Studio Code 将数据导入 SQL 服务器

Question

I am attempting to use Visual Studio Code(VSC) to import a csv file into SQL Server.

I can access SQL Server in VSC using the MSSQL extension. I am able to select, add columns, create tables ect... I can use python to load and manipulate the csv file.

However, I don't know how to connect the Python and the SQL scripts, or alternatively, how to use an sql script to query a csv file on my local computer.

One option is to just use Python , but I've had some trouble successfully setting up that connection.

Answer 1

I don't know about a VS Code specific tool but if you can run SQL scripts then you can look at OPENROWSET . Example F is probably a close match for what you are looking for but there are lots of options with this command to get exactly what you want.

INSERT INTO MyTable SELECT a.* FROM
OPENROWSET (BULK N'D:\data.csv', FORMATFILE =
    'D:\format_no_collation.txt', CODEPAGE = '65001') AS a;

Answer 2

first try to install mysql connector using this- pip install mysql-connector-python

after that use import mysql.connector to import the connector

Then connect your database using this-

myconn = mysql.connector.Connect(user='root',password="1234567890",database="world",auth_plugin='mysql_native_password')

where password is your mysql password and database is your name of database you want to connect

suppose you want to fetch all rows from your selected table-

myconn = mysql.connector.Connect(user='root',password="1234567890",database="world")
cur = myconn.cursor()
cur.execute("Select * from emptab")
allrows = cur.fetchall()
print(allows)

this would generate result like that-

(1001, 'RamKumar', 10000)
(1002, 'Ganesh Kumar', 1000)
(1003, 'Rohan', 3450)
(1004, 'Harish Kumar', 56000)
(1005, 'Mohit', 12000)
(1006, 'Harish Nagar', 56000)

to convert above data to CSV form first convert it into an pandas data frame-

df = pd.DataFrame(allrows)
df.columns = ['empno','name','salary']

this would convert data into pandas df and with columns above

at last use

df_final.to_csv(r'final.csv', index = False)

like command to save result to csv form