Difference between revisions of "Python:Databases"

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;cursor = cnx.cursor(dictionary=True)
 
;cursor = cnx.cursor(dictionary=True)
 
:Create a cursor that returns rows as [[Python:DataTypes#Dictionary_or_dict | dictionary]] { column1: value1, column2: value2 }
 
:Create a cursor that returns rows as [[Python:DataTypes#Dictionary_or_dict | dictionary]] { column1: value1, column2: value2 }
 +
 +
;cursor = cnx.cursor(buffered=True)
 +
:Create a cursor that retrieves the complete result at once so you can check rowcount immediately. Beware of overloading your memory if you expect large results.
  
 
;cursor.execute(query)
 
;cursor.execute(query)

Revision as of 14:17, 5 July 2020


MySQL Connector

See below for an example script

import mysql.connector
Load module for mysql
cnx = mysql.connector.connect(**cnxconfig)
Open MySQL database as defined in the cnxconfig dictionary. See example below. The ** passes the dictionary unpacked to a function.
import cx_Oracle
Load module for oracle
cnx = cx_Oracle.connect(user=dbuser, password=dbpasswd, dsn=dbtns_alias)
Open Oracle database.
cursor = cnx.cursor()
Create a cursor that returns rows as tuple
cursor = cnx.cursor(dictionary=True)
Create a cursor that returns rows as dictionary { column1: value1, column2: value2 }
cursor = cnx.cursor(buffered=True)
Create a cursor that retrieves the complete result at once so you can check rowcount immediately. Beware of overloading your memory if you expect large results.
cursor.execute(query)
Execute 'query'. Columnames are in the tuple cursor.column_names. Traverse the cursor to fetch the data. The cursor returns a tuple for each row.
cursor.rowcount
The number of rows affected by this query.
cursor.fetchone()
Return the next row from the cursor result.
cursor.fetchmany(size=2)
Return the first two rows of the result in a list.
cursor.fetchall()
Return all (remaining) rows of the result in a list.
for row in cursor:
 print(row)
 for column in row:
 	print(column)
cursor.close()
Close the cursor
cnx.close()
Close the database connection

Code example showing all:

import mysql.connector 

cnxconfig = {
    'host': 'hostname',
    'port': 3306,
    'user': 'username',
    'password': '',
    'database': 'DBname'
}

#cnx = mysql.connector.connect(host='hostname', port=3306, user='username', database='DBname')
cnx = mysql.connector.connect(**cnxconfig)

if cnx:
	print("Connection, continue")
else:
	print("No connection, exit")
	exit()

print("Tuple cursor")	
cursor = cnx.cursor()

query = ("SELECT * FROM table")
 
cursor.execute(query)
for columname in cursor.column_names:
 print(columname)
for row in cursor:
 print(row)
 for column in row:
 	print(column)

print("Dictionary cursor")
cursor = cnx.cursor(dictionary=True)
cursor.execute(query)
for row in cursor:
	for columname in row.keys():
		print("{0:25s}: {1:}".format(columname, row[columname])) 

cursor.close()
cnx.close()

ODBC connections

import pyodbc
import sqlalchemy

dsn = 'DSN=<name of ODBC-DNS>'

cnx = pyodbc.connect(dsn,autocommit=True)
cursor = cnx.cursor()

query = 'show databases'

result = cursor.execute(query)
for row in result:
    field1 = row[0]

Works with pandas.read_sql too.

MySqlAlchemy

For more information check the sqlalchemy.org basic usage page[1].

Very basic example for mysql with the pymysql module

import pymysql
import sqlalchemy

dbconnect = 'mysql+pymysql://user:password@databaseserver/databasename'

engine = sqlalchemy.create_engine(dbconnect)

query = 'select something from table'
result = engine.execute(query)
for row in result:
    field1 = row[0]