i want insert my data to my MySQL database but still can't, here is my code:
import ue9
d = ue9.UE9()
import datetime
from time import gmtime, strftime
import MySQLdb
timee = "%Y-%m-%d %H:%M:%S"
noww = strftime(timee, gmtime())
print noww
db = MySQLdb.connect("localhost","root","root","temperature")
cursor = db.cursor()
sql = ("INSERT INTO Mydate(datenow) VALUES(%s)",(noww))
try:
cursor.execute(sql)
db.commit()
except:
db.rollback()
db.close()
but still can't connect to database can anyone help me ?
You miss a comma in the list of values:
sql = ("INSERT INTO Mydate(datenow) VALUES(%s)",(noww,))
Related
This is not something complicated but not sure why is it not working
import mysql.connector
def get_connection(host, user, password, db_name):
connection = None
try:
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 = 'UPDATE {} set underlying_price=9'.format(table_name)
cursor.execute(sql)
connection.commit()
print('No of Rows Updated ...', cursor.rowcount)
It always returns 0 no matter what. The same query shows correct count on TablePlus
MysQL API provides this method but I do not know how to call it as calling against connection variable gives error
I am not sure why your code does not work. But i am using pymysql, and it works
import os
import pandas as pd
from types import SimpleNamespace
from sqlalchemy import create_engine
import pymysql
PARAM = SimpleNamespace()
PARAM.DB_user='yourname'
PARAM.DB_password='yourpassword'
PARAM.DB_name ='world'
PARAM.DB_ip = 'localhost'
def get_DB_engine_con(PARAM):
DB_name = PARAM.DB_name
DB_ip = PARAM.DB_ip
DB_user = PARAM.DB_user
DB_password = PARAM.DB_password
## engine = create_engine("mysql+pymysql://{user}:{pw}#{ip}/{db}".format(user=DB_user,pw=DB_password,db=DB_name,ip=DB_ip))
conn = pymysql.connect(host=DB_ip, user=DB_user,passwd=DB_password,db=DB_name)
cur = conn.cursor()
return cur, conn ## , engine
cur, conn = get_DB_engine_con(PARAM)
and my data
if i run the code
table_name='ct2'
sql = "UPDATE {} set CountryCode='NL' ".format(table_name)
cur.execute(sql)
conn.commit()
print('No of Rows Updated ...', cur.rowcount)
the result No of Rows Updated ... 10 is printed. and the NLD is changed to NL
If using mysql.connector
import mysql.connector
connection = mysql.connector.connect(
host=PARAM.DB_ip,
user=PARAM.DB_user,
use_unicode=True,
password=PARAM.DB_password,
database=PARAM.DB_name
)
cur = connection.cursor()
table_name='ct2'
sql = "UPDATE {} set CountryCode='NL2' ".format(table_name)
cur.execute(sql)
print('No of Rows Updated ...', cur.rowcount)
connection.commit()
it still works
and the country code is updated to NL2 and No of Rows Updated ... 10 is printed. The second time i run then No of Rows Updated ... 0 is printed.
Not sure why it does not work on your machine.
My query returns no error but doesn't commit to my database.
import mysql.connector
from datetime import date
def ImportKey():
testsite_array = []
converted_list = []
cnx = mysql.connector.connect(user='USER', password='PASSWORD', host='HOST', database='DATABASE')
cursor = cnx.cursor()
keyType = input("Valid types: Day, Month, Life:\n > ")
if keyType == "Day":
with open('Keys.txt') as my_file:
for line in my_file:
testsite_array.append(line)
for element in testsite_array:
converted_list.append(element.strip())
sql_query = "INSERT INTO `DailyK`(`keyDaily`) VALUES (%s)"
cursor.execute(sql_query, (converted_list[0], ))
cnx.commit()
cursor.close()
cnx.close()
Why does this code not work? It returns no error and from what I can see there is nothing wrong with it. Help would be much appreciated.
I'm trying to store a mySQL query result in a pandas DataFrame using pymysql and am running into errors building the dataframe. Found a similar question here and here, but it looks like there are pymysql-specific errors being thrown:
import pandas as pd
import datetime
import pymysql
# dummy values
connection = pymysql.connect(user='username', password='password', databse='database_name', host='host')
start_date = datetime.datetime(2017,11,15)
end_date = datetime.datetime(2017,11,16)
try:
with connection.cursor() as cursor:
query = "SELECT * FROM orders WHERE date_time BETWEEN %s AND %s"
cursor.execute(query, (start_date, end_date))
df = pd.DataFrame(data=cursor.fetchall(), index = None, columns = cursor.keys())
finally:
connection.close()
returns: AttributeError: 'Cursor' object has no attribute 'keys'
If I drop the index and columns arguments:
try:
with connection.cursor() as cursor:
query = "SELECT * FROM orders WHERE date_time BETWEEN %s AND %s"
cursor.execute(query, (start_date, end_date))
df = pd.DataFrame(cursor.fetchall())
finally:
connection.close()
returns ValueError: DataFrame constructor not properly called!
Thanks in advance!
Use Pandas.read_sql() for this:
query = "SELECT * FROM orders WHERE date_time BETWEEN ? AND ?"
df = pd.read_sql(query, connection, params=(start_date, end_date))
Thank you for your suggestion to use pandas.read_sql(). It works with executing a stored procedure as well! I tested it in MSSQL 2017 environment.
Below is an example (I hope it helps others):
def database_query_to_df(connection, stored_proc, start_date, end_date):
# Define a query
query ="SET NOCOUNT ON; EXEC " + stored_proc + " ?, ? " + "; SET NOCOUNT OFF"
# Pass the parameters to the query, execute it, and store the results in a data frame
df = pd.read_sql(query, connection, params=(start_date, end_date))
return df
Try This:
import pandas as pd
import pymysql
mysql_connection = pymysql.connect(host='localhost', user='root', password='', db='test', charset='utf8')
sql = "SELECT * FROM `brands`"
df = pd.read_sql(sql, mysql_connection, index_col='brand_id')
print(df)
I have a part in my python script that I need to insert some data into a table on a mysql database example below:
insert_data = "INSERT into test (test_date,test1,test2) values (%s,%s,%s)"
cur.execute(insert_data,(test_date,test1,test2))
db.commit()
db.close()
I have a couple of questions what is incorrect with this syntax and how is possible to change the VALUES to timestamp instead of %s for string? Note the column names in the database are the same as the data stored in the variables in my script.
THanks
try this:
import MySQLdb
import time
import datetime
ts = time.time()
timestamp = datetime.datetime.fromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')
conn = MySQLdb.connect(host= "localhost",
user="root",
passwd="newpassword",
db="db1")
x = conn.cursor()
try:
x.execute("""INSERT into test (test_date,test1,test2) values(%s,%s,%s)""",(timestamp,test1,test2))
conn.commit()
except:
conn.rollback()
conn.close()
Timestamp creating can be done in one line, no need to use time.time(), just:
from datetime import datetime
timestamp = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
Simply use the database NOW() function, e.g.
timestamp="NOW()"
insert_data = "INSERT into test (test_date,test1,test2) values (%s,%s,%s)"
cur.execute(insert_data,(test_date,test1,test2,timestamp))
db.commit()
db.close()
The following logic works with the mysqldb module (see python mysqldb multiple cursors for one connection), but I am getting the following error with mysql.connector on cursor2.execute(sql)
"Unread result found."
I realize that I can use a join to combine these 2 simple sql statements and avoid the need for a second cursor, but my real world example is more complex and requires a second sql statement.
Assuming I need to execute 2 separate sql statements (1 for the loop and 1 inside the loop), how should this be done with the mysql.connector module?
import datetime
import mysql.connector
db = mysql.connector.connect(user='alan', password='please', host='machine1', database='mydb')
cursor1 = db.cursor()
cursor2 = db.cursor()
sql = """
SELECT userid,
username,
date
FROM user
WHERE date BETWEEN %s AND %s
"""
start_date = datetime.date(1999, 1, 1)
end_date = datetime.date(2014, 12, 31)
cursor1.execute(sql, (start_date, end_date))
for (userid, username, date) in cursor1:
sql = """
select count(*)
from request
where assigned = '%s'
""" % (userid)
cursor2.execute(sql)
requestcount = cursor2.fetchone()[0]
print userid, requestcount
cursor2.close()
cursor1.close()
db.close()
This mysqldb version works just fine:
import datetime
import MySQLdb
db = MySQLdb.connect(user='alan', passwd='please', host='machine1', db='mydb')
cursor1 = db.cursor()
cursor2 = db.cursor()
sql = """
SELECT userid,
username,
date
FROM user
WHERE date BETWEEN %s AND %s
"""
start_date = datetime.date(1999, 1, 1)
end_date = datetime.date(2014, 12, 31)
cursor1.execute(sql, (start_date, end_date))
for (userid, username, date) in cursor1:
sql = """
select count(*)
from request
where assigned = '%s'
""" % (userid)
cursor2.execute(sql)
requestcount = cursor2.fetchone()[0]
print userid, requestcount
cursor2.close()
cursor1.close()
db.close()
MySQL Connector/Python is, by default, non-buffering. This means the data is not fetched automatically and you need to 'consume' all rows. (It works with MySQLdb because that driver is buffering by default.)
Using Connector/Python you have to use the buffered-argument set to True for cursor you use as iterator. In the OP's question, this would be cursor1:
cursor1 = db.cursor(buffered=True)
cursor2 = db.cursor()
You can also use buffered=True as connection argument to make all cursor buffering instantiated by this connection buffering.