How to put parameterized sql query into variable and then execute in Python?

I understand that the correct way to format a sql query in Python is like this:

cursor.execute("INSERT INTO table VALUES (%s, %s, %s)", var1, var2, var3)

so that it prevents sql injection. My question is if there is a way to put the query in a variable and then execute it? I have tried the example below but receive an error. Is it possible to do this?

sql="INSERT INTO table VALUES (%s, %s, %s)", var1, var2, var3
cursor.execute(sql)

Solution 1:

Here is the call signature for cursor.execute:

Definition: cursor.execute(self, query, args=None)

    query -- string, query to execute on server
    args -- optional sequence or mapping, parameters to use with query.

So execute expects at most 3 arguments (args is optional). If args is given, it is expected to be a sequence. so

sql_and_params = "INSERT INTO table VALUES (%s, %s, %s)", var1, var2, var3
cursor.execute(*sql_and_params)

is not going to work, because

cursor.execute(*sql_and_params)

expands the tuple sql_and_params into 4 arguments (and again, execute only expects 3).

If you really must use

sql_and_params = "INSERT INTO table VALUES (%s, %s, %s)", var1, var2, var3

then you'll have to break it apart when feeding it to cursor.execute:

cursor.execute(sql_and_params[0],sql_and_params[1:])

But I think it feels much more pleasant to just use two variables:

sql = "INSERT INTO table VALUES (%s, %s, %s)"
args= var1, var2, var3
cursor.execute(sql, args)

Solution 2:

You're pretty close.

sql_and_params = "INSERT INTO table VALUES (%s, %s, %s)", var1, var2, var3
cursor.execute(*sql_and_params)

The asterisk means that the variable isn't to be considered as one parameter but instead unpacked into many parameters.

Solution 3:

This worked for me. Querying Microsoft SQL Server using pyodbc.

cusotmer_list = ['ABC', '123']

# parameterized query placeholders
placeholders = ",".join("?" * len(customer_list))

# query table
query = 
"""
SELECT
[ID],
[Customer]
FROM xyz.dbo.abc
WHERE [Customer] IN (%s)
""" % placeholders

# read query results in pandas dataframe
df = pd.read_sql(sql=query, con=cnxn, params=customer_list)