mirror of
https://github.com/psycopg/psycopg2.git
synced 2024-11-27 03:13:43 +03:00
66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
# dict.py - using DictCUrsor/DictRow
|
|
#
|
|
# Copyright (C) 2005 Federico Di Gregorio <fog@debian.org>
|
|
#
|
|
# This program is free software; you can redistribute it and/or modify
|
|
# it under the terms of the GNU General Public License as published by the
|
|
# Free Software Foundation; either version 2, or (at your option) any later
|
|
# version.
|
|
#
|
|
# This program is distributed in the hope that it will be useful, but
|
|
# WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTIBILITY
|
|
# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
|
|
# for more details.
|
|
|
|
## put in DSN your DSN string
|
|
|
|
DSN = 'dbname=test'
|
|
|
|
## don't modify anything below this line (except for experimenting)
|
|
|
|
import sys
|
|
import psycopg2
|
|
import psycopg2.extras
|
|
|
|
if len(sys.argv) > 1:
|
|
DSN = sys.argv[1]
|
|
|
|
print "Opening connection using dsn:", DSN
|
|
conn = psycopg2.connect(DSN)
|
|
print "Encoding for this connection is", conn.encoding
|
|
|
|
|
|
curs = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
|
|
curs.execute("SELECT 1 AS foo, 'cip' AS bar, date(now()) as zot")
|
|
print "Cursor's row factory is", curs.row_factory
|
|
|
|
data = curs.fetchone()
|
|
print "The type of the data row is", type(data)
|
|
print "Some data accessed both as tuple and dict:"
|
|
print " ", data['foo'], data['bar'], data['zot']
|
|
print " ", data[0], data[1], data[2]
|
|
|
|
# execute another query and demostrate we can still access the row
|
|
curs.execute("SELECT 2 AS foo")
|
|
print "The type of the data row is", type(data)
|
|
print "Some more data accessed both as tuple and dict:"
|
|
print " ", data['foo'], data['bar'], data['zot']
|
|
print " ", data[0], data[1], data[2]
|
|
|
|
curs = conn.cursor(cursor_factory=psycopg2.extras.RealDictCursor)
|
|
curs.execute("SELECT 1 AS foo, 'cip' AS bar, date(now()) as zot")
|
|
print "Cursor's row factory is", curs.row_factory
|
|
|
|
data = curs.fetchone()
|
|
print "The type of the data row is", type(data)
|
|
print "Some data accessed both as tuple and dict:"
|
|
print " ", data['foo'], data['bar'], data['zot']
|
|
print " ", "No access using indices: this is a specialized cursor."
|
|
|
|
# execute another query and demostrate we can still access the row
|
|
curs.execute("SELECT 2 AS foo")
|
|
print "The type of the data row is", type(data)
|
|
print "Some more data accessed both as tuple and dict:"
|
|
print " ", data['foo'], data['bar'], data['zot']
|
|
print " ", "No access using indices: this is a specialized cursor."
|