psycopg2/examples/dict.py

66 lines
2.3 KiB
Python
Raw Normal View History

2005-05-10 06:29:24 +04:00
# dict.py - using DictCUrsor/DictRow
#
# Copyright (C) 2005-2010 Federico Di Gregorio <fog@debian.org>
2005-05-10 06:29:24 +04:00
#
# psycopg2 is free software: you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
2005-05-10 06:29:24 +04:00
#
# psycopg2 is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
# License for more details.
2005-05-10 06:29:24 +04:00
## 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
2005-05-10 06:29:24 +04:00
if len(sys.argv) > 1:
DSN = sys.argv[1]
print "Opening connection using dsn:", DSN
conn = psycopg2.connect(DSN)
2005-05-10 06:29:24 +04:00
print "Encoding for this connection is", conn.encoding
curs = conn.cursor(cursor_factory=psycopg2.extras.DictCursor)
2005-05-10 06:29:24 +04:00
curs.execute("SELECT 1 AS foo, 'cip' AS bar, date(now()) as zot")
2007-01-16 16:45:41 +03:00
print "Cursor's row factory is", curs.row_factory
2005-05-10 06:29:24 +04:00
data = curs.fetchone()
2007-01-16 16:45:41 +03:00
print "The type of the data row is", type(data)
2005-05-10 06:29:24 +04:00
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")
2007-01-16 16:45:41 +03:00
print "The type of the data row is", type(data)
2005-05-10 06:29:24 +04:00
print "Some more data accessed both as tuple and dict:"
print " ", data['foo'], data['bar'], data['zot']
print " ", data[0], data[1], data[2]
2007-01-16 16:45:41 +03:00
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."