1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
|
# 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."
|
