psycopg2/examples/dict.py

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# dict.py - using DictCUrsor/DictRow
#
# Copyright (C) 2005-2010 Federico Di Gregorio <fog@debian.org>
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#
# 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.
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#
# 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.
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## 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
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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)
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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")
print("Cursor's row factory is", curs.row_factory)
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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])
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# 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])
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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)
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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.")
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# 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.")