- Install a driver for your linux machine!
- I recommend
FreeTDS
You may look at my script @ https://github.com/adgsenpai/InstallFreeTDS
- Install pre-requisite packages
sudo apt-get install unixodbc unixodbc-dev freetds-dev freetds-bin tdsodbc
- Point
odbcinst.inito the driver in/etc/odbcinst.ini
[FreeTDS]
Description = v0.91 with protocol v7.2
Driver = MYDRIVERPATH
where MYDRIVERPATH is the path of the libtdsodbc.so file
Hint! Look in the /usr/lib/mylinuxdistro/odbc folder!
Will implement script in the future to install/automate this for linux solutions.
pip install sqlserver
pip install sqlserver
DRIVERS = db.ReturnDrivers()
# output of drivers
['SQL Server', 'ODBC Driver 17 for SQL Server', 'SQL Server Native Client 11.0', 'SQL Server Native Client RDA 11.0', 'Microsoft Access Driver (*.mdb, *.accdb)', 'Microsoft Excel Driver (*.xls, *.xlsx, *.xlsm, *.xlsb)', 'Microsoft Access Text Driver (*.txt, *.csv)']
# We can use a SQL ODBC Driver or FreeTDS
DRIVER={ODBC Driver 17 for SQL Server};SERVER=SERVERNAME,PORT;DATABASE=DB;UID=USERNAME;PWD=PASSWORD
import sqlserver
db = sqlserver.adgsqlserver('yourconnectionstring')
parms: ExecuteQuery(query:str)
This enables you to execute any query without any stdout but returns a bool True or False if query passes and logs exception in terminal as stdout.
query = 'somequery'
db.ExecuteQuery()
parms: GetRecordsAsDict(query:str)
We use this for select statements or any other query that returns a table as a result.
query = "SELECT 'Connection Passed' AS Result"
db.GetRecordsAsDict(query)
stdout
{'results': [{'Result': 'Connection Passed'}]}
parms: GetRecordsOfColumn(query:str,ColumnName:str)
We use this for select statements or any other query that returns a table as a result.
db.GetRecordsOfColumn("SELECT 'Connection Passed' AS Result", "Result")
stdout
['Connection Passed']
parms: CreateCSVTable(csvfile:str)
Creates a SQL Table with varchar(max) columns such that it can be ready to be inserted to based on the .csv column names
Assumption: somefile.csv
name,surname,phonenumber
test,testor,01234567810
path = 'C:/somefile.csv'
db.CreateCSVTable(path)
In SQL Table somefile.dbo
|name|surname|phonenumber|
parms: InsertCSVTable(csvfile:str)
Assumption: somefile.csv
name,surname,phonenumber
test,testor,01234567810
path = 'C:/somefile.csv'
db.InsertCSVTable(path)
In SQL Table somefile.dbo
--------------------------
|name|surname|phonenumber|
|----|-------|-----------|
|test|testor |01234567810|
--------------------------
parms: InsertXMLSQLTable(xmlfilepath:str)
xmlfilepath = 'C:/somexml.xml'
db.InsertXMLSQLTable(xmlfilepath)
parms: InsertScript(df:DataFrame,tblName:str,isNEWID:bool=False)
df = pd.DataFrame({'name':['test','test2'],'surname':['testor','testor2'],'phonenumber':['01234567810','01234567810']})
db.InsertScript(df,'somefile')
stdout
'''
INSERT INTO [somefile]
VALUES
('test','testor','01234567810'),
('test2','testor2','01234567810')
'''
parms: UpdateScript(dataDict:dict,whereCondition:str,tblName:str)
dataDict = {'name':'test','surname':'testor','phonenumber':'01234567810'}
whereCondition = "name = 'test'"
db.UpdateScript(dataDict,whereCondition,'somefile')
stdout
'''
UPDATE [dbo].[somefile]
SET
[name] = 'test',
[surname] = 'testor',
[phonenumber] = '01234567810'
WHERE
name = 'test'
'''
parms: DeleteScript(whereCondition:str,tblName:str)
whereCondition = "name = 'test'"
db.DeleteScript(whereCondition,'somefile')
stdout
'''
DELETE FROM [dbo].[somefile]
WHERE
name = 'test'
'''
parms: SelectScript(whereCondition:str,tblName:str)
whereCondition = "name = 'test'"
db.SelectScript(whereCondition,'somefile')
stdout
'''
SELECT * FROM [dbo].[somefile]
WHERE
name = 'test'
'''
parms: ExecuteScript(query:str)
query = "SELECT 'Connection Passed' AS Result"
db.ExecuteScript(query)
stdout
{'results': [{'Result': 'Connection Passed'}]}
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