mirror of
https://github.com/psycopg/psycopg2.git
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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) 2005-2010 Federico Di Gregorio <fog@debian.org>
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#
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# psycopg2 is free software: you can redistribute it and/or modify it
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# under the terms of the GNU Lesser General Public License as published
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# by the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# psycopg2 is distributed in the hope that it will be useful, but WITHOUT
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# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
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# FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public
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# License 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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