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Python: MySQL is not updating record despite of using Commit

I am facing a weird issue. I have the following code. The INSERTS go well but the update query does not work at all. The rowcount is also shown 1 still when I check in Table Plus it does not reflect.
When I directly run the query UPDATE shop_links set product_status = 3 where shop_url = 'https://example.com' in TablePlus it does show record.
The irony is, the update query which set to 1 works just fine and updates instantly
import mysql.connector
def get_connection(host, user, password, db_name):
connection = None
try:
# connection = pymysql.connect(host=host,
# user=user,
# password=password,
# db=db_name,
# charset='utf8',
# max_allowed_packet=1073741824,
# cursorclass=pymysql.cursors.DictCursor)
connection = mysql.connector.connect(
host=host,
user=user,
use_unicode=True,
password=password,
database=db_name
)
connection.set_charset_collation('utf8')
print('Connected')
except Exception as ex:
print(str(ex))
finally:
return connection
with connection.cursor() as cursor:
sql = 'INSERT INTO {} (shop_url,product_url) VALUES (%s, %s)'.format(TABLE_FETCH_PRODUCTS)
cursor.executemany(sql, records)
connection.commit()
with connection.cursor() as cursor:
# Update the shop URL
# sql = "UPDATE {} set product_status = 3 where shop_url = '{}' ".format(TABLE_FETCH, shop_url)
sql = "UPDATE {} set product_status = 3 where shop_url = %s ".format(TABLE_FETCH, shop_url)
print(sql)
print('----------------------------------------------------------------')
cursor.execute(sql, (shop_url,))
connection.commit()

AWS: Unable to insert values in Redshift table

I am trying to insert values into a table within my redshift cluster, it is connected as I can read the table but I can't insert values on it. When I use SELECT statements it works fine but when I try to insert values from lambda function, it is aborted with no error or log info about why was it aborted.
The query part is like this:
conn = psycopg2.connect(dbname = 'dev',
host =
'redshift-cluster-summaries.c0xcgwtgz65l.us-east-2.redshift.amazonaws.com',
port = '5439',
user = '****',
password = '****%')
cur = conn.cursor()
cur.execute("INSERT INTO public.summaries(topic,summary)
values('data', 'data_summary');")
#print(cur.fetchone())
cur.close()
conn.close()
As I said, there is no log information about why was it aborted, neither it is giving me any kind of error. Actually, when I just use a Select statement, it works.
Is there anyone who can guide me through what could be going on?

You forgot to do conn.commit()
conn = psycopg2.connect(dbname = 'dev',
host = 'redshift-cluster-summaries.c0xcgwtgz65l.us-east-2.redshift.amazonaws.com',
port = '5439',
user = '****',
password = '****%')
cur = conn.cursor()
cur.execute("INSERT INTO public.summaries(topic,summary) values('data', 'data_summary');")
cur.close()
conn.commit()
conn.close()
a bit improved way to run this
from contextlib import contextmanager
#contextmanager
def cursor():
with psycopg2.connect(dbname = 'dev',
host = 'redshift-cluster-summaries.c0xcgwtgz65l.us-east-2.redshift.amazonaws.com',
port = '5439',
user = '****',
password = '****%') as conn:
try:
yield conn.cursor()
finally:
try:
conn.commit()
except psycopg2.InterfaceError:
pass
def run_insert(query):
with cursor() as cur:
cur.execute(query)
cur.close()
run_insert("INSERT INTO public.summaries(topic,summary) values('data', 'data_summary');")

Insert into mysql database not committing changes (python)

I am trying to run the following code which executes with no issues. The sql that is produced is, "INSERT INTO account_login (groupone_account_id, login_date) VALUES ('100', '10:10:00') which has no syntax errors and executed successfully. But when I check the table, the id has not been inserted. I can complete select queries successfully.
The reason why I created database_connection is because it is an external connection and I wanted to isolate it to be able to test the databse connection easier.
def create_groupone_account_login(groupone_account_id):
groupone_account_login_created = False
cursor = database_connection("cursor")
time = datetime.utcnow().isoformat()[:-3] + 'Z'
sql_create_account_login = "INSERT INTO account_login (groupone_account_id, login_date) VALUES ('%s', '%s')" % (
groupone_account_id, time)
cursor.execute(sql_create_account_login)
connection = database_connection("connection")
connection.commit()
cursor.close()
groupone_account_login_created = True
return groupone_account_login_created
def database_connection(variable):
resp_dict = json.loads(get_secret())
endpoint = resp_dict.get('host')
username = resp_dict.get('username')
password = resp_dict.get('password')
database_name = resp_dict.get('dbname')
port = resp_dict.get('port')
connection = pymysql.connect(host=endpoint, user=username, passwd=password, db=database_name, port=port)
cursor = connection.cursor()
if variable == "connection":
return connection
else:
return cursor

Create random users on SQL Server 2019 with Python

I would like to know if there's a way to create an user with python on a SQL Server 2019? Because I succeed to connect and create a database on the server but I can't connected to the database then...
Here's a bit of my code.
def create_user(self):
global date
utilisateur = self.nom_utilisateur.get()
password = self.password.get()
dbname = utilisateur + str(date.year)
mydb = pyodbc.connect(driver='{SQL Server}', host='DELL-G3\SQLEXPRESS', iud=utilisateur, psw=password)
mydb.autocommit = True
cursor = mydb.cursor()
cursor.execute("CREATE DATABASE %s" % dbname)
try:
mkuser = utilisateur
mkpass = password
creation = "CREATE USER '%s'#'DELL-G3\SQLEXPRESS' IDENTIFIED BY '%s' FROM EXTERNAL PROVIDER" % (mkuser, mkpass)
cursor.execute(creation)
grant = "GRANT SELECT, INSERT ON *.* TO '%s'#'DELL-G3\SQLEXPRESS'" % (mkuser)
cursor.execute(grant)
except sqlite3.OperationalError:
print('error')
mydb.close()

Return a mapped dictionary based on multiple queries

Issue: I can't figure out how to run a query in the correct way so that it returns a mapped dictionary. The query will use counts from multiple tables.
I am using psycopg2 for a postgresql database, and I will be using the results to create a report on day to day deltas on these counts.
Given that, can someone provide an example on how to execute multiple queries and return a dictionary that I can use for comparison purposes? Thanks! I image in a for loop is needed somewhere in here.
tables = ['table1', 'table2']
def db_query():
query = "select count(*) from (a_table) where error_string != '';"
conn = psycopg2.connect(database=db, user=user, password=password, host=host)
cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
cur.execute(query, tables)
output = cur.fetchall()
conn.close()
return output

I haven't used postgresql, so you might want to also check this out as a reference: How to store count values in python.
That being said, rearrange your code into something like this. Be sure to make conn global so you don't have to make more than one connection, and make sure you're also closing cur:
conn = None
def driverFunc():
global conn
try:
conn = psycopg2.connect(database=db, user=user, password=password, host=host)
tables = ['table1', 'table2']
countDict = {}
for thisTable in tables:
db_query(thisTable, countDict)
finally:
if not conn == None:
conn.close()
def db_query(tableName, countDict):
# Beware of SQL injection with the following line:
query = "select count(*) from " + tableName + " where error_string != '';"
cur = None
try:
cur = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
cur.execute(query)
countDict[tableName] = int(cur.fetchone())
finally:
if not cur == None:
cur.close()