AWS Lambda: How can I execute RDS Aurora queries as atomic transaction?

Question

I have the following Python code in an AWS Lambda function, and I want the queries on an RDS Aurora DB to run atomically, that is, run all or run none. Will the conn.commit() statement do that for me? If not how can I accomplish this? conn is my DB connection object.

# Connect to the DB
conn = pymysql.connect(rds_host, user=username,
                       passwd=password, db=db_name,
                       connect_timeout=10)
# Run queries
with conn.cursor() as cur:
    cur.execute("create table some_table_2020 like some_table;")
    cur.execute("insert into some_table_2020 select * from some_table;")
    cur.execute("rename table some_table to some_table_20200629;")
    cur.execute("rename table some_table_2020 to some_table;")
    conn.commit()

Answer 1

Thanks to kielni's comment, here's the answer, per Use Commit and Rollback to Manage MySQL Transactions in Python

# Connect to the DB
conn = pymysql.connect(rds_host, user=username,
                       passwd=password, db=db_name,
                       connect_timeout=10)    
try:
    # Run queries
    with conn.cursor() as cur:
        cur.execute("create table some_table_2020 like some_table;")
        cur.execute("insert into some_table_2020 select * from some_table;")
        cur.execute("rename table some_table to some_table_20200629;")
        cur.execute("rename table some_table_2020 to some_table;")
    conn.commit()
exception:
    # Failed to commit changes in the DB, do rollback
    conn.rollback()
finally:
    #closing database connection.
    if(conn.is_connected()):
        cursor.close()
        conn.close()