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Postgres FD Implementation
Commit e9491eb9 authored by Bruce Momjian's avatar Bruce Momjian
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Upgrade to Pygress 2.2.

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src/interfaces/python/Announce
View file @ e9491eb9
Announce : Release of PyGreSQL version 2.0
Announce: Release of PyGreSQL version 2.2
===============================================
PyGreSQL v2.0 has been released.
It is available at: ftp://ftp.druid.net/pub/distrib/PyGreSQL-2.0.tgz.
PyGreSQL v2.2 has been released.
It is available at: ftp://ftp.druid.net/pub/distrib/PyGreSQL-2.2.tgz.
PostgreSQL is a database system derived from Postgres4.2. It conforms to
(most of) ANSI SQL and offers many interesting capabilities (C dynamic linking
for functions or type definition, etc.). This package is copyright by the
Regents of the University of California, and is freely distributable.
PostgreSQL is a database system derived from Postgres4.2. It conforms
to (most of) ANSI SQL and offers many interesting capabilities (C
dynamic linking for functions or type definition, etc.). This package
is copyright by the Regents of the University of California, and is
freely distributable.
Python is a interpretated programming langage. It is object oriented, simple
to use (light syntax, simple and straighforward statements), and has many
extensions for building GUIs, interfacing with WWW, etc. An intelligent web
browser (HotJava like) is currently under development (november 1995), and
this should open programmers many doors. Python is copyrighted by Stichting S
Mathematisch Centrum, Amsterdam, The Netherlands, and is freely distributable.
Python is an interpreted programming language. It is object oriented,
simple to use (light syntax, simple and straightforward statements), and
has many extensions for building GUIs, interfacing with WWW, etc. An
intelligent web browser (HotJava like) is currently under development
(November 1995), and this should open programmers many doors. Python is
copyrighted by Stichting S Mathematisch Centrum, Amsterdam, The
Netherlands, and is freely distributable.
PyGreSQL is a python module that interfaces to a PostgreSQL database. It
embeds the PostgreSQL query library to allow easy use of the powerful
PostgreSQL features from a Python script.
PyGreSQL 2.0 was developed and tested on a NetBSD 1.3_BETA system. It is
based on the PyGres95 code written by Pascal Andre, andre@chimay.via.ecp.fr.
I changed the version to 2.0 and updated the code for Python 1.5 and
PostgreSQL 6.2.1. While I was at it I upgraded the code to use full ANSI
style prototypes and changed the order of arguments to connect.
PyGreSQL 2.2 was developed and tested on a NetBSD 1.3_BETA system. It
is based on the PyGres95 code written by Pascal Andre,
andre@chimay.via.ecp.fr. I changed the version to 2.0 and updated the
code for Python 1.5 and PostgreSQL 6.2.1. While I was at it I upgraded
the code to use full ANSI style prototypes and changed the order of
arguments to connect. Later versions are fixes and enhancements to that.
Important changes from PyGreSQL 2.1 to PyGreSQL 2.2:
- Added user and password support thanks to Ng Pheng Siong <ngps@post1.com>
- Insert queries return the inserted oid
- Add new pg wrapper (C module renamed to _pg)
- Wrapped database connection in a class.
- Cleaned up some of the tutorial. (More work needed.)
- Added version and __version__. Thanks to thilo@eevolute.com for
the suggestion.
Important changes from PyGreSQL 2.0 to PyGreSQL 2.1:
- return fields as proper Python objects for field type
- Cleaned up pgext.py
- Added dictresult method
Important changes from Pygres95 1.0b to PyGreSQL 2.0:
- Updated code for PostgreSQL 6.2.1 and Python 1.5.
......@@ -36,7 +53,8 @@ Important changes from Pygres95 1.0b to PyGreSQL 2.0:
- Added a print function for pgqueryobject
- Various code changes - mostly stylistic.
For more information about each package, please have a look to their web pages:
For more information about each package, please have a look to their
web pages:
- Python : http://www.python.org/
- PostgreSQL : http://www.PostgreSQL.org/
- PyGreSQL : http://www.druid.net/pygresql/
......
src/interfaces/python/ChangeLog
View file @ e9491eb9
......@@ -2,9 +2,23 @@ PyGreSQL changelog.
===================
This software is copyright (c) 1995, Pascal Andre (andre@via.ecp.fr)
Further copyright 1997 by D'Arcy J.M. Cain (darcy@druid.net)
Further copyright 1997, 1998 by D'Arcy J.M. Cain (darcy@druid.net)
See file README for copyright information.
Version 2.2
- Added user and password support thanks to Ng Pheng Siong <ngps@post1.com>
- Insert queries return the inserted oid
- Add new pg wrapper (C modile renamed to _pg)
- Wrapped database connection in a class.
- Cleaned up some of the tutorial. (More work needed.)
- Added version and __version__. Thanks to thilo@eevolute.com for
the suggestion.
Version 2.1
- return fields as proper Python objects for field type
- Cleaned up pgext.py
- Added dictresult method
Version 2.0 (23/12/1997):
- updated code for PostgreSQL 6.2.1 and Python 1.5
- reformatted code and converted to ANSI
......@@ -12,20 +26,24 @@ Version 2.0 (23/12/1997):
- changed order of arguments to connect function
- Created new type pgqueryobject and moved certain methods to it.
- Added a print function for pgqueryobject
Version 1.0b (4/11/1995):
- keyword support for connect function moved from library file to C code
and taken away from library.
- rewrote documentation
- bug fix in connect function
- enhancements in large objects interface methods
Version 1.0a (30/10/1995) (limited release):
- module adapted to standard Python syntax
- keyword support for connect function in library file
- rewrote default parameters interface (internal use of strings)
- fixed minor bugs in module interface
- redefinition of error messages
Version 0.9b (10/10/1995) (first public release):
- large objects implementation
- many bug fixes, enhancments, ...
- many bug fixes, enhancements, ...
Version 0.1a (7/10/1995):
- basic libpq functions (SQL access)
src/interfaces/python/README
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src/interfaces/python/advanced.py 0 → 100755
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#! /usr/local/bin/python
# advanced.py - demo of advanced features of PostGres. Some may not be ANSI.
# inspired from the Postgres tutorial
# adapted to Python 1995 by Pascal Andre
print "__________________________________________________________________"
print "MODULE ADVANCED.PY : ADVANCED POSTGRES SQL COMMANDS TUTORIAL"
print
print "This module is designed for being imported from python prompt"
print
print "In order to run the samples included here, first create a connection"
print "using : cnx = advanced.connect(...)"
print "then start the demo with: advanced.demo(cnx)"
print "__________________________________________________________________"
from pgtools import *
from pgext import *
# inheritance features
def inherit_demo(pgcnx):
print "-----------------------------"
print "-- Inheritance:"
print "-- a table can inherit from zero or more tables. A query"
print "-- can reference either all rows of a table or all rows "
print "-- of a table plus all of its descendants."
print "-----------------------------"
print
print "-- For example, the capitals table inherits from cities table."
print "-- (It inherits all data fields from cities.)"
print
print "CREATE TABLE cities ("
print " name text,"
print " population float8,"
print " altitude int"
print ")"
print
print "CREATE TABLE capitals ("
print " state varchar(2)"
print ") INHERITS (cities)"
pgcnx.query("CREATE TABLE cities (" \
"name text," \
"population float8," \
"altitude int)")
pgcnx.query("CREATE TABLE capitals (" \
"state varchar(2)) INHERITS (cities)")
wait_key()
print
print "-- now, let's populate the tables"
print
print "INSERT INTO cities VALUES ('San Francisco', 7.24E+5, 63)"
print "INSERT INTO cities VALUES ('Las Vegas', 2.583E+5, 2174)"
print "INSERT INTO cities VALUES ('Mariposa', 1200, 1953)"
print
print "INSERT INTO capitals VALUES ('Sacramento', 3.694E+5, 30, 'CA')"
print "INSERT INTO capitals VALUES ('Madison', 1.913E+5, 845, 'WI')"
print
pgcnx.query(
"INSERT INTO cities VALUES ('San Francisco', 7.24E+5, 63)")
pgcnx.query(
"INSERT INTO cities VALUES ('Las Vegas', 2.583E+5, 2174)")
pgcnx.query(
"INSERT INTO cities VALUES ('Mariposa', 1200, 1953)")
pgcnx.query("INSERT INTO capitals" \
" VALUES ('Sacramento', 3.694E+5, 30, 'CA')")
pgcnx.query("INSERT INTO capitals" \
" VALUES ('Madison', 1.913E+5, 845, 'WI')")
print
print "SELECT * FROM cities"
print pgcnx.query("SELECT * FROM cities")
print "SELECT * FROM capitals"
print pgcnx.query("SELECT * FROM capitals")
print
print "-- like before, a regular query references rows of the base"
print "-- table only"
print
print "SELECT name, altitude"
print "FROM cities"
print "WHERE altitude > 500;"
print pgcnx.query("SELECT name, altitude " \
"FROM cities " \
"WHERE altitude > 500")
print
print "-- on the other hand, you can find all cities, including "
print "-- capitals, that are located at an altitude of 500 'ft "
print "-- or higher by:"
print
print "SELECT c.name, c.altitude"
print "FROM cities* c"
print "WHERE c.altitude > 500"
print pgcnx.query("SELECT c.name, c.altitude " \
"FROM cities* c " \
"WHERE c.altitude > 500")
# arrays attributes
def array_demo(pgcnx):
print "----------------------"
print "-- Arrays:"
print "-- attributes can be arrays of base types or user-defined "
print "-- types"
print "----------------------"
print
print "CREATE TABLE sal_emp ("
print " name text,"
print " pay_by_quarter int4[],"
print " schedule text[][]"
print ")"
pgcnx.query("CREATE TABLE sal_emp (" \
"name text," \
"pay_by_quarter int4[]," \
"schedule text[][])")
wait_key()
print
print "-- insert instances with array attributes. "
print " Note the use of braces"
print
print "INSERT INTO sal_emp VALUES ("
print " 'Bill',"
print " '{10000,10000,10000,10000}',"
print " '{{\"meeting\", \"lunch\"}, {}}')"
print
print "INSERT INTO sal_emp VALUES ("
print " 'Carol',"
print " '{20000,25000,25000,25000}',"
print " '{{\"talk\", \"consult\"}, {\"meeting\"}}')"
print
pgcnx.query("INSERT INTO sal_emp VALUES (" \
"'Bill', '{10000,10000,10000,10000}'," \
"'{{\"meeting\", \"lunch\"}, {}}')")
pgcnx.query("INSERT INTO sal_emp VALUES (" \
"'Carol', '{20000,25000,25000,25000}'," \
"'{{\"talk\", \"consult\"}, {\"meeting\"}}')")
wait_key()
print
print "----------------------"
print "-- queries on array attributes"
print "----------------------"
print
print "SELECT name FROM sal_emp WHERE"
print " sal_emp.pay_by_quarter[1] <> sal_emp.pay_by_quarter[2]"
print
print pgcnx.query("SELECT name FROM sal_emp WHERE " \
"sal_emp.pay_by_quarter[1] <> sal_emp.pay_by_quarter[2]")
print
print "-- retrieve third quarter pay of all employees"
print
print "SELECT sal_emp.pay_by_quarter[3] FROM sal_emp"
print
print pgcnx.query("SELECT sal_emp.pay_by_quarter[3] FROM sal_emp")
print
print "-- select subarrays"
print
print "SELECT sal_emp.schedule[1:2][1:1] FROM sal_emp WHERE "
print " sal_emp.name = 'Bill'"
print pgcnx.query("SELECT sal_emp.schedule[1:2][1:1] FROM sal_emp WHERE " \
"sal_emp.name = 'Bill'")
# base cleanup
def demo_cleanup(pgcnx):
print "-- clean up (you must remove the children first)"
print "DROP TABLE sal_emp"
print "DROP TABLE capitals"
print "DROP TABLE cities;"
pgcnx.query("DROP TABLE sal_emp")
pgcnx.query("DROP TABLE capitals")
pgcnx.query("DROP TABLE cities")
# main demo function
def demo(pgcnx):
inherit_demo(pgcnx)
array_demo(pgcnx)
demo_cleanup(pgcnx)
src/interfaces/python/basics.py 0 → 100755
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src/interfaces/python/func.py 0 → 100755
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# func.py - demonstrate the use of SQL functions
# inspired from the PostgreSQL tutorial
# adapted to Python 1995 by Pascal ANDRE
print "__________________________________________________________________"
print "MODULE FUNC.PY : SQL FUNCTION DEFINITION TUTORIAL"
print
print "This module is designed for being imported from python prompt"
print
print "In order to run the samples included here, first create a connection"
print "using : cnx = func.connect(...)"
print "then start the demo with: func.demo(cnx)"
print "__________________________________________________________________"
from pgtools import *
from pgext import *
# basic functions declaration
def base_func(pgcnx):
print "-----------------------------"
print "-- Creating SQL Functions on Base Types"
print "-- a CREATE FUNCTION statement lets you create a new "
print "-- function that can be used in expressions (in SELECT, "
print "-- INSERT, etc.). We will start with functions that "
print "-- return values of base types."
print "-----------------------------"
print
print "--"
print "-- let's create a simple SQL function that takes no arguments"
print "-- and returns 1"
print
print "CREATE FUNCTION one() RETURNS int4"
print " AS 'SELECT 1 as ONE' LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION one() RETURNS int4 " \
"AS 'SELECT 1 as ONE' LANGUAGE 'sql'")
wait_key()
print
print "--"
print "-- functions can be used in any expressions (eg. in the target"
print "-- list or qualifications)"
print
print "SELECT one() AS answer"
print pgcnx.query("SELECT one() AS answer")
print
print "--"
print "-- here's how you create a function that takes arguments. The"
print "-- following function returns the sum of its two arguments:"
print
print "CREATE FUNCTION add_em(int4, int4) RETURNS int4"
print " AS 'SELECT $1 + $2' LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION add_em(int4, int4) RETURNS int4 " \
"AS 'SELECT $1 + $2' LANGUAGE 'sql'")
print
print "SELECT add_em(1, 2) AS answer"
print pgcnx.query("SELECT add_em(1, 2) AS answer")
# functions on composite types
def comp_func(pgcnx):
print "-----------------------------"
print "-- Creating SQL Functions on Composite Types"
print "-- it is also possible to create functions that return"
print "-- values of composite types."
print "-----------------------------"
print
print "-- before we create more sophisticated functions, let's "
print "-- populate an EMP table"
print
print "CREATE TABLE EMP ("
print " name text,"
print " salary int4,"
print " age int4,"
print " dept varchar(16)"
print ")"
pgcnx.query("CREATE TABLE EMP (" \
"name text," \
"salary int4," \
"age int4," \
"dept varchar(16))")
print
print "INSERT INTO EMP VALUES ('Sam', 1200, 16, 'toy')"
print "INSERT INTO EMP VALUES ('Claire', 5000, 32, 'shoe')"
print "INSERT INTO EMP VALUES ('Andy', -1000, 2, 'candy')"
print "INSERT INTO EMP VALUES ('Bill', 4200, 36, 'shoe')"
print "INSERT INTO EMP VALUES ('Ginger', 4800, 30, 'candy')"
pgcnx.query("INSERT INTO EMP VALUES ('Sam', 1200, 16, 'toy')")
pgcnx.query("INSERT INTO EMP VALUES ('Claire', 5000, 32, 'shoe')")
pgcnx.query("INSERT INTO EMP VALUES ('Andy', -1000, 2, 'candy')")
pgcnx.query("INSERT INTO EMP VALUES ('Bill', 4200, 36, 'shoe')")
pgcnx.query("INSERT INTO EMP VALUES ('Ginger', 4800, 30, 'candy')")
wait_key()
print
print "-- the argument of a function can also be a tuple. For "
print "-- instance, double_salary takes a tuple of the EMP table"
print
print "CREATE FUNCTION double_salary(EMP) RETURNS int4"
print " AS 'SELECT $1.salary * 2 AS salary' LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION double_salary(EMP) RETURNS int4 " \
"AS 'SELECT $1.salary * 2 AS salary' LANGUAGE 'sql'")
print
print "SELECT name, double_salary(EMP) AS dream"
print "FROM EMP"
print "WHERE EMP.dept = 'toy'"
print pgcnx.query("SELECT name, double_salary(EMP) AS dream " \
"FROM EMP WHERE EMP.dept = 'toy'")
print
print "-- the return value of a function can also be a tuple. However,"
print "-- make sure that the expressions in the target list is in the "
print "-- same order as the columns of EMP."
print
print "CREATE FUNCTION new_emp() RETURNS EMP"
print " AS 'SELECT \'None\'::text AS name,"
print " 1000 AS salary,"
print " 25 AS age,"
print " \'none\'::varchar(16) AS dept'"
print " LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION new_emp() RETURNS EMP " \
"AS 'SELECT \\\'None\\\'::text AS name, " \
"1000 AS salary, " \
"25 AS age, " \
"\\\'none\\\'::varchar(16) AS dept' " \
"LANGUAGE 'sql'")
wait_key()
print
print "-- you can then project a column out of resulting the tuple by"
print "-- using the \"function notation\" for projection columns. "
print "-- (ie. bar(foo) is equivalent to foo.bar) Note that we don't"
print "-- support new_emp().name at this moment."
print
print "SELECT name(new_emp()) AS nobody"
print pgcnx.query("SELECT name(new_emp()) AS nobody")
print
print "-- let's try one more function that returns tuples"
print "CREATE FUNCTION high_pay() RETURNS setof EMP"
print " AS 'SELECT * FROM EMP where salary > 1500'"
print " LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION high_pay() RETURNS setof EMP " \
"AS 'SELECT * FROM EMP where salary > 1500' " \
"LANGUAGE 'sql'")
print
print "SELECT name(high_pay()) AS overpaid"
print pgcnx.query("SELECT name(high_pay()) AS overpaid")
# function with multiple SQL commands
def mult_func(pgcnx):
print "-----------------------------"
print "-- Creating SQL Functions with multiple SQL statements"
print "-- you can also create functions that do more than just a"
print "-- SELECT."
print "-----------------------------"
print
print "-- you may have noticed that Andy has a negative salary. We'll"
print "-- create a function that removes employees with negative "
print "-- salaries."
print
print "SELECT * FROM EMP"
print pgcnx.query("SELECT * FROM EMP")
print
print "CREATE FUNCTION clean_EMP () RETURNS int4"
print " AS 'DELETE FROM EMP WHERE EMP.salary <= 0"
print " SELECT 1 AS ignore_this'"
print " LANGUAGE 'sql'"
pgcnx.query("CREATE FUNCTION clean_EMP () RETURNS int4 AS 'DELETE FROM EMP WHERE EMP.salary <= 0; SELECT 1 AS ignore_this' LANGUAGE 'sql'")
print
print "SELECT clean_EMP()"
print pgcnx.query("SELECT clean_EMP()")
print
print "SELECT * FROM EMP"
print pgcnx.query("SELECT * FROM EMP")
# base cleanup
def demo_cleanup(pgcnx):
print "-- remove functions that were created in this file"
print
print "DROP FUNCTION clean_EMP()"
print "DROP FUNCTION high_pay()"
print "DROP FUNCTION new_emp()"
print "DROP FUNCTION add_em(int4, int4)"
print "DROP FUNCTION one()"
print
print "DROP TABLE EMP"
pgcnx.query("DROP FUNCTION clean_EMP()")
pgcnx.query("DROP FUNCTION high_pay()")
pgcnx.query("DROP FUNCTION new_emp()")
pgcnx.query("DROP FUNCTION add_em(int4, int4)")
pgcnx.query("DROP FUNCTION one()")
pgcnx.query("DROP TABLE EMP")
# main demo function
def demo(pgcnx):
base_func(pgcnx)
comp_func(pgcnx)
mult_func(pgcnx)
demo_cleanup(pgcnx)
src/interfaces/python/mkdefines 0 → 100755
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#! /usr/local/bin/python
import string
# change this if you have it somewhere else
for l in open("/usr/local/pgsql/src/include/catalog/pg_type.h").readlines():
tokens = string.split(l)
if len(tokens) == 0 or tokens[0] != "#define": continue
if tokens[1] in ('CASHOID', 'INT2OID', 'INT4OID', 'OIDOID', 'FLOAT4OID', 'FLOAT8OID'):
print l,
src/interfaces/python/pg.py 0 → 100644
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# pgutil.py
# Written by D'Arcy J.M. Cain
# This library implements some basic database management stuff
# It includes the pg module and builds on it
from _pg import *
import string, re, sys
# utility function
# We expect int, seq, decimal, text or date (more later)
def _quote(d, t):
if t in ['int', 'decimal', 'seq']:
if d == "": return 0
return "%s" % d
if t == 'bool':
if string.upper(d) in ['T', 'TRUE', 'Y', 'YES', 1, '1', 'ON']:
return "'t'"
else:
return "'f'"
if d == "": return "null"
return "'%s'" % string.strip(re.sub('\'', '\'\'', "%s" % d))
class DB:
"""This class wraps the pg connection type"""
def __init__(self, *args):
self.db = apply(connect, args)
self.attnames = {}
self.pkeys = {}
self.debug = None # For debugging scripts, set to output format
# that takes a single string arg. For example
# in a CGI set to "%s<BR>"
# Get all the primary keys at once
for rel, att in self.db.query("""SELECT
pg_class.relname, pg_attribute.attname
FROM pg_class, pg_attribute, pg_index
WHERE pg_class.oid = pg_attribute.attrelid AND
pg_class.oid = pg_index.indrelid AND
pg_index.indkey[0] = pg_attribute.attnum AND
pg_index.indisprimary = 't'""").getresult():
self.pkeys[rel] = att
def pkey(self, cl):
# will raise an exception if primary key doesn't exist
return self.pkeys[cl]
def get_attnames(self, cl):
# May as well cache them
if self.attnames.has_key(cl):
return self.attnames[cl]
query = """SELECT pg_attribute.attname, pg_type.typname
FROM pg_class, pg_attribute, pg_type
WHERE pg_class.relname = '%s' AND
pg_attribute.attnum > 0 AND
pg_attribute.attrelid = pg_class.oid AND
pg_attribute.atttypid = pg_type.oid"""
l = {}
for attname, typname in self.db.query(query % cl).getresult():
if re.match("^int", typname):
l[attname] = 'int'
elif re.match("^oid", typname):
l[attname] = 'int'
elif re.match("^text", typname):
l[attname] = 'text'
elif re.match("^char", typname):
l[attname] = 'text'
elif re.match("^name", typname):
l[attname] = 'text'
elif re.match("^abstime", typname):
l[attname] = 'date'
elif re.match("^date", typname):
l[attname] = 'date'
elif re.match("^bool", typname):
l[attname] = 'bool'
elif re.match("^float", typname):
l[attname] = 'decimal'
elif re.match("^money", typname):
l[attname] = 'money'
else:
l[attname] = 'text'
self.attnames[cl] = l
return self.attnames[cl]
# return a tuple from a database
def get(self, cl, arg, keyname = None):
if keyname == None: # use the primary key by default
keyname = self.pkeys[cl]
fnames = self.get_attnames(cl)
if type(arg) == type({}):
# To allow users to work with multiple tables we munge the
# name when the key is "oid"
if keyname == 'oid': k = arg['oid_%s' % cl]
else: k = arg[keyname]
else:
k = arg
arg = {}
# We want the oid for later updates if that isn't the key
if keyname == 'oid':
q = "SELECT * FROM %s WHERE oid = %s" % (cl, k)
else:
q = "SELECT oid AS oid_%s, %s FROM %s WHERE %s = %s" % \
(cl, string.join(fnames.keys(), ','),\
cl, keyname, _quote(k, fnames[keyname]))
if self.debug != None: print self.debug % q
res = self.db.query(q).dictresult()
if res == []:
raise error, \
"No such record in %s where %s is %s" % \
(cl, keyname, _quote(k, fnames[keyname]))
return None
for k in res[0].keys():
arg[k] = res[0][k]
return arg
# Inserts a new tuple into a table
def insert(self, cl, a):
fnames = self.get_attnames(cl)
l = []
n = []
for f in fnames.keys():
if a.has_key(f):
if a[f] == "": l.append("null")
else: l.append(_quote(a[f], fnames[f]))
n.append(f)
try:
q = "INSERT INTO %s (%s) VALUES (%s)" % \
(cl, string.join(n, ','), string.join(l, ','))
if self.debug != None: print self.debug % q
a['oid_%s' % cl] = self.db.query(q)
except:
raise error, "Error inserting into %s: %s" % (cl, sys.exc_value)
# reload the dictionary to catch things modified by engine
return self.get(cl, a, 'oid')
# update always works on the oid which get returns
def update(self, cl, a):
q = "SELECT oid FROM %s WHERE oid = %s" % (cl, a['oid_%s' % cl])
if self.debug != None: print self.debug % q
res = self.db.query(q).getresult()
if len(res) < 1:
raise error, "No record in %s where oid = %s (%s)" % \
(cl, a['oid_%s' % cl], sys.exc_value)
v = []
k = 0
fnames = self.get_attnames(cl)
for ff in fnames.keys():
if a.has_key(ff) and a[ff] != res[0][k]:
v.append("%s = %s" % (ff, _quote(a[ff], fnames[ff])))
if v == []:
return None
try:
q = "UPDATE %s SET %s WHERE oid = %s" % \
(cl, string.join(v, ','), a['oid_%s' % cl])
if self.debug != None: print self.debug % q
self.db.query(q)
except:
raise error, "Can't update %s: %s" % (cl, sys.exc_value)
# reload the dictionary to catch things modified by engine
return self.get(cl, a, 'oid')
# At some point we will need a way to get defaults from a table
def clear(self, cl, a = {}):
fnames = self.get_attnames(cl)
for ff in fnames.keys():
if fnames[ff] in ['int', 'decimal', 'seq', 'money']:
a[ff] = 0
elif fnames[ff] == 'date':
a[ff] = 'TODAY'
else:
a[ff] = ""
a['oid'] = 0
return a
# Like update, delete works on the oid
# one day we will be testing that the record to be deleted
# isn't referenced somewhere (or else PostgreSQL will)
def delete(self, cl, a):
try:
q = "DELETE FROM %s WHERE oid = %s" % (cl, a['oid_%s' % cl])
if self.debug != None: print self.debug % q
self.db.query(q)
except:
return "Can't delete %s: %s" % (cl, sys.exc_value)
return None
# The rest of these methods are for convenience. Note that X.method()
# and X.db.method() are equivalent
def query(self, query): return self.db.query(query)
def reset(self): self.db.reset()
def getnotify(self): self.db.getnotify()
def inserttable(self): self.db.inserttable()
# The following depend on being activated in the underlying C code
def putline(self): self.db.putline()
def getline(self): self.db.getline()
def endcopy(self): self.db.endcopy()
def locreate(self): self.db.locreate()
def getlo(self): self.db.getlo()
def loimport(self): self.db.loimport()
src/interfaces/python/pgext.py
View file @ e9491eb9
......@@ -10,34 +10,30 @@ def doconnect(dbname = None, host = None, port = None, opt = None, tty = None):
# list all databases on the server
def ListDB(pgcnx):
result = pgcnx.query("select datname from pg_database")
list = []
for node in result:
list.append(result[i][0])
for node in pgcnx.query("SELECT datname FROM pg_database").getresult():
list.append(node[0])
return list
# list all tables (classes) in the selected database
def ListTables(pgcnx):
result = pgcnx.query("select relname from pg_class " \
"where relkind = 'r' " \
" and relname !~ '^Inv' " \
" and relname !~ '^pg_'")
list = []
for node in result:
for node in pgcnx.query("""SELECT relname FROM pg_class
WHERE relkind = 'r' AND
relname !~ '^Inv' AND
relname !~ '^pg_'""").getresult():
list.append(node[0])
return list
# list table fields (attribute) in given table
def ListAllFields(pgcnx, table):
result = pgcnx.query("select c.relname, a.attname, t.typname " \
"from pg_class c, pg_attribute a, pg_type t " \
"where c.relname = '%s' " \
" and a.attnum > 0" \
" and a.attrelid = c.oid" \
" and a.atttypid = t.oid " \
"order by relname, attname" % table)
# personnal preference ... so I leave the original query
list = []
for node in result:
for node in pgcnx.query("""SELECT c.relname, a.attname, t.typname
FROM pg_class c, pg_attribute a, pg_type t
WHERE c.relname = '%s' AND
a.attnum > 0 AND
a.attrelid = c.oid AND
a.atttypid = t.oid
ORDER BY relname, attname""" % table).getresult():
list.append(node[1], node[2])
return list
src/interfaces/python/pgmodule.c
View file @ e9491eb9
This diff is collapsed.
src/interfaces/python/pgtools.py 0 → 100755
View file @ e9491eb9
#! /usr/local/bin/python
# pgtools.py - valuable functions for PostGreSQL tutorial
# written 1995 by Pascal ANDRE
import sys
# number of rows
scr_size = 24
# waits for a key
def wait_key():
print "Press <enter>"
sys.stdin.read(1)
# displays a table for a select query result
def display(fields, result):
print result
# gets cols width
fmt = []
sep = '+'
head = '|'
for i in range(0, len(fields)):
max = len(fields[i])
for j in range(0, len(result)):
if i < len(result[j]):
if len(result[j][i]) > max:
max = len(result[j][i])
fmt.append(" %%%ds |" % max)
for j in range(0, max):
sep = sep + '-'
sep = sep + '--+'
for i in range(0, len(fields)):
head = head + fmt[i] % fields[i]
print sep + '\n' + head + '\n' + sep
pos = 6
for i in range(0, len(result)):
str = '|'
for j in range(0, len(result[i])):
str = str + fmt[j] % result[i][j]
print str
pos = pos + 1
if pos == scr_size:
print sep
wait_key()
print sep + '\n' + head + '\n' + sep
pos = 6
print sep
wait_key()
src/interfaces/python/syscat.py 0 → 100755
View file @ e9491eb9
# syscat.py - parses some system catalogs
# inspired from the PostgreSQL tutorial
# adapted to Python 1995 by Pascal ANDRE
print "____________________________________________________________________"
print
print "MODULE SYSCAT.PY : PARSES SOME POSTGRESQL SYSTEM CATALOGS"
print
print "This module is designed for being imported from python prompt"
print
print "In order to run the samples included here, first create a connection"
print "using : cnx = syscat.connect(...)"
print "then start the demo with: syscat.demo(cnx)"
print
print "Some results may be empty, depending on your base status."
print
print "____________________________________________________________________"
print
from pgext import *
from pgtools import *
# lists all simple indices
def list_simple_ind(pgcnx):
result = pgcnx.query("select bc.relname " \
"as class_name, ic.relname as index_name, a.attname " \
"from pg_class bc, pg_class ic, pg_index i, pg_attribute a " \
"where i.indrelid = bc.oid and i.indexrelid = bc.oid " \
" and i.indkey[0] = a.attnum and a.attrelid = bc.oid " \
" and i.indproc = '0'::oid " \
"order by class_name, index_name, attname")
return result
# list all user defined attributes and their type in user-defined classes
def list_all_attr(pgcnx):
result = pgcnx.query("select c.relname, a.attname, t.typname " \
"from pg_class c, pg_attribute a, pg_type t " \
"where c.relkind = 'r' and c.relname !~ '^pg_' " \
" and c.relname !~ '^Inv' and a.attnum > 0 " \
" and a.attrelid = c.oid and a.atttypid = t.oid " \
"order by relname, attname")
return result
# list all user defined base type
def list_user_base_type(pgcnx):
result = pgcnx.query("select u.usename, t.typname " \
"from pg_type t, pg_user u " \
"where u.usesysid = int2in(int4out(t.typowner)) " \
" and t.typrelid = '0'::oid and t.typelem = '0'::oid " \
" and u.usename <> 'postgres' order by usename, typname")
return result
# list all right-unary operators
def list_right_unary_operator(pgcnx):
result = pgcnx.query("select o.oprname as right_unary, " \
" lt.typname as operand, result.typname as return_type " \
"from pg_operator o, pg_type lt, pg_type result " \
"where o.oprkind='r' and o.oprleft = lt.oid " \
" and o.oprresult = result.oid order by operand")
return result
# list all left-unary operators
def list_left_unary_operator(pgcnx):
result = pgcnx.query("select o.oprname as left_unary, " \
" rt.typname as operand, result.typname as return_type " \
"from pg_operator o, pg_type rt, pg_type result " \
"where o.oprkind='l' and o.oprright = rt.oid " \
" and o.oprresult = result.oid order by operand")
return result
# list all binary operators
def list_binary_operator(pgcnx):
result = pgcnx.query("select o.oprname as binary_op, " \
" rt.typname as right_opr, lt.typname as left_opr, " \
" result.typname as return_type " \
"from pg_operator o, pg_type rt, pg_type lt, pg_type result " \
"where o.oprkind = 'b' and o.oprright = rt.oid " \
" and o.oprleft = lt.oid and o.oprresult = result.oid")
return result
# returns the name, args and return type from all function of lang l
def list_lang_func(pgcnx, l):
result = pgcnx.query("select p.proname, p.pronargs, t.typname " \
"from pg_proc p, pg_language l, pg_type t " \
"where p.prolang = l.oid and p.prorettype = t.oid " \
" and l.lanname = '%s' order by proname" % l)
return result
# lists all the aggregate functions and the type to which they can be applied
def list_agg_func(pgcnx):
result = pgcnx.query("select a.aggname, t.typname " \
"from pg_aggregate a, pg_type t " \
"where a.aggbasetype = t.oid order by aggname, typname")
return result
# lists all the operator classes that can be used with each access method as
# well as the operators that can be used with the respective operator classes
def list_op_class(pgcnx):
result = pgcnx.query("select am.amname, opc.opcname, opr.oprname " \
"from pg_am am, pg_amop amop, pg_opclass opc, pg_operator opr " \
"where amop.amopid = am.oid and amop.amopclaid = opc.oid " \
" and amop.amopopr = opr.oid order by amname, opcname, oprname")
return result
# demo function - runs all examples
def demo(pgcnx):
#import sys, os
#save_stdout = sys.stdout
#sys.stdout = os.popen("more", "w")
print "Listing simple indices ..."
print list_simple_ind(pgcnx)
print "Listing all attributes ..."
print list_all_attr(pgcnx)
print "Listing all user-defined base types ..."
print list_user_base_type(pgcnx)
print "Listing all left-unary operators defined ..."
print list_left_unary_operator(pgcnx)
print "Listing all right-unary operators defined ..."
print list_right_unary_operator(pgcnx)
print "Listing all binary operators ..."
print list_binary_operator(pgcnx)
print "Listing C external function linked ..."
print list_lang_func(pgcnx, 'C')
print "Listing C internal functions ..."
print list_lang_func(pgcnx, 'internal')
print "Listing SQL functions defined ..."
print list_lang_func(pgcnx, 'sql')
print "Listing 'aggregate functions' ..."
print list_agg_func(pgcnx)
print "Listing 'operator classes' ..."
print list_op_class(pgcnx)
#del sys.stdout
#sys.stdout = save_stdout
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