How can I insert a list returned from pyodbc mssql

I am pulling data from a MSSQL db using pyodbc which returns my data set in a list. This data then needs to be transferred into a MySQL db. I have written the following stored procedure in MySQL.

CREATE DEFINER=`root`@`localhost` PROCEDURE `sp_int_pmt`(
    IN pmtamt DECIMAL(16,10),
        IN pmtdt DATETIME,
        IN propmtref VARCHAR(128),
        IN rtdinv_id INT(11)
    )
BEGIN
    INSERT INTO ay_financials.payment
    (
    pmtamt,
        pmtdt,
        propmtref,
        rtdinv_id
    )
VALUES
    (
    pmtamt,
        pmtdt,
        propmtref,
        rtdinv_id
    );

END

The procedure works fine if I am inserting one record at the time. So, for now, I am iterating over the list from my MSSQL query and call the procedure for each record. I am using this code:

cursor = cnxn.cursor()

cursor.execute("""  SELECT *
            FROM [%s].[dbo].[pmt]
            WHERE pmtdt BETWEEN '2018-01-01' AND '2018-12-31'""" %(database))

a = cursor.fetchmany(25)

cnxn.close()

import pymysql

# MySQL configurations
un = 'ssssssss'
pw = '****************'
db = 'ay_fnls'
h = '100.100.100.100'

conn = pymysql.connect(host=h, user=un, password=pw, db=db, cursorclass=pymysql.cursors.DictCursor)

cur = conn.cursor()

for ay in a:
    cur.callproc('sp_int_pmt',(ay.pmtamt,ay.pmtdt,ay.propmtref,ay.rtdinv_id))

conn.commit()

The problem I will have in production is this list will contain 10,000-100,000 every day. Iterating over that data doesn't seem like an optimized way to handle this.

How can I use the full list from the MSSQL query, call the MySQL procedure one time and insert all the relevant data?

How can I use the full list from the MSSQL query, call the MySQL procedure one time and insert all the relevant data?

You can't do that with your stored procedure as written. It will only insert one row at a time, so to insert n rows you would have to call it n times.

Also, as far as I know you can't modify the stored procedure to insert n rows without using a temporary table or some other workaround because MySQL does not support table-valued parameters to stored procedures.

You can, however, insert multiple rows at once if you use a regular INSERT statement and .executemany. pymysql will bundle the inserts into one or more multi-row inserts

mssql_crsr = mssql_cnxn.cursor()
mssql_stmt = """\
SELECT 1 AS id, N'Alfa' AS txt
UNION ALL
SELECT 2 AS id, N'Bravo' AS txt
UNION ALL
SELECT 3 AS id, N'Charlie' AS txt
"""
mssql_crsr.execute(mssql_stmt)
mssql_rows = []
while True:
    row = mssql_crsr.fetchone()
    if row:
        mssql_rows.append(tuple(row))
    else:
        break

mysql_cnxn = pymysql.connect(host='localhost', port=3307,
                             user='root', password='_whatever_',
                             db='mydb', autocommit=True)
mysql_crsr = mysql_cnxn.cursor()
mysql_stmt = "INSERT INTO stuff (id, txt) VALUES (%s, %s)"
mysql_crsr.executemany(mysql_stmt, mssql_rows)

The above code produces the following in the MySQL general_log

190430 10:00:53     4 Connect   root@localhost on mydb
            4 Query INSERT INTO stuff (id, txt) VALUES (1, 'Alfa'),(2, 'Bravo'),(3, 'Charlie')
            4 Quit

Note that pymysql cannot bundle calls to a stored procedure in the same way, so if you were to use

mysql_stmt = "CALL stuff_one(%s, %s)"

instead of a regular INSERT then the general_log would contain

190430  9:47:10     3 Connect   root@localhost on mydb
            3 Query CALL stuff_one(1, 'Alfa')
            3 Query CALL stuff_one(2, 'Bravo')
            3 Query CALL stuff_one(3, 'Charlie')
            3 Quit