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