mirrors
/
postgres
mirror of https://github.com/postgres/postgres
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Move PyGreSQL usage documentation from README into DocBook. Some other 

editing.
This commit is contained in:
Peter Eisentraut 2002-09-23 21:10:13 +00:00
parent 5fa3418304
commit 0d3be98ae9
3 changed files with 394 additions and 1310 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

812
doc/src/sgml/pygresql.sgml
View File

File diff suppressed because it is too large Load Diff

846
src/interfaces/python/README
View File

@ -63,8 +63,7 @@ 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. The latest
version of PyGreSQL works with PostgreSQL 7.1.3 and Python 2.1.
style prototypes and changed the order of arguments to connect.
1.2. Distribution files
@ -92,8 +91,7 @@ version of PyGreSQL works with PostgreSQL 7.1.3 and Python 2.1.
you must already have built Python as well as the mxDateTime package
from http://starship.python.net/~lemburg/mxDateTime.html.
* For Linux installation look at README.linux. If you're on an x86 system
that uses RPMs, then you can pick up an RPM at
* For a Linux x86 system that uses RPMs, you can pick up an RPM at
ftp://ftp.druid.net/pub/distrib/pygresql.i386.rpm
* Note that if you are using the DB-API module you must also install
@ -238,844 +236,10 @@ For support:
2. Programming information
==========================
You may either choose to use the old, mature interface provided by the
'pg' module or else the newer 'pgdb' interface compliant with DB-API 2.0
specification developed by the Python DB-SIG.
See main PostgreSQL documentation.
The remainder of this chapter and the next chapter describe only
the older 'pg' API. As long as PyGreSQL does not contain a
description of the DB-API you should read about the API at
http://www.python.org/topics/database/DatabaseAPI-2.0.html
A tutorial like introduction to the DB-API can be found at
http://www2.linuxjournal.com/lj-issues/issue49/2605.html
The 'pg' module defines three objects: the pgobject that handles the connection
and all the requests to the database, the pglargeobject that handles
all the accesses to Postgres large objects and pgqueryobject that handles
query results.
If you want to see a simple example of the use of some of these functions,
see http://www.druid.net/rides/ where I have a link at the bottom to the
actual Python code for the page.
2.1. pg module description
----------------------------
The module defines only a few methods that allow to connect to a database and
to allow to define "default variables" that override the environment variables
used by PostgreSQL.
These "default variables" were designed to allow you to handle general
connection parameters without heavy code in your programs. You can prompt the
user for a value, put it in the default variable, and forget it, without
having to modify your environment. The support for default variables can be
disabled by setting the -DNO_DEF_VAR option in the Python Setup file. Methods
relative to this are specified by te tag [DV].
All variables are set to None at module initialization, specifying that
standard environment variables should be used.
2.1.1. connect - opens a pg connection
----------------------------------------
Syntax:
connect(dbname, host, port, opt, tty, user, passwd)
Parameters:
dbname - name of connected database (string/None)
host - name of the server host (string/None)
port - port used by the database server (integer/-1)
opt - connection options (string/None)
tty - debug terminal (string/None)
user - PostgreSQL user (string/None)
passwd - password for user (string/None)
Return type:
pgobject - the object handling the connection
Exceptions raised:
TypeError - bad argument type, or too many arguments
SyntaxError - duplicate argument definition
pg.error - some error occurred during pg connection definition
(+ all exceptions relative to object allocation)
Description:
This method opens a connection to a specified database on a given
PostgreSQL server. You can use keywords here, as described in the
Python tutorial;
the names of the keywords are the name of the parameters given in the
syntax line. For a precise description of the parameters, please refer to
the PostgreSQL user manual.
2.1.2. get_defhost, set_defhost - default server host name handling [DV]
------------------------------------------------------------------------
Syntax: get_defhost()
Parameters:
none
Return type:
string, None - default host specification
Exceptions raised:
SyntaxError - too many arguments
Description:
This method returns the current default host specification, or None if the
environment variables should be used. Environment variables won't be looked
up.
Syntax: set_defhost(host)
Parameters:
host - new default host (string/None)
Return type:
string, None - previous default host specification
Exceptions raised:
TypeError - bad argument type, or too many arguments
Description:
This methods sets the default host value for new connections. If None is
supplied as parameter, environment variables will be used in future
connections. It returns the previous setting for default host.
2.1.3. get_defport, set_defport - default server port handling [DV]
-------------------------------------------------------------------
Syntax: get_defport()
Parameters: none
Return type:
integer, None - default port specification
Exceptions raised:
SyntaxError - too many arguments
Description:
This method returns the current default port specification, or None if
the environment variables should be used. Environment variables won't
be looked up.
Syntax: set_defport(port)
Parameters:
port - new default port (integer/-1)
Return type:
integer, None - previous default port specification
Description:
This methods sets the default port value for new connections. If -1 is
supplied as parameter, environment variables will be used in future
connections. It returns the previous setting for default port.
2.1.4. get_defopt, set_defopt - default connection options handling [DV]
------------------------------------------------------------------------
Syntax: get_defopt()
Parameters: none
Return type:
string, None - default options specification
Exceptions raised:
SyntaxError - too many arguments
Description:
This method returns the current default connection options specification,
or None if the environment variables should be used. Environment variables
won't be looked up.
Syntax: set_defopt(options)
Parameters:
options - new default connection options (string/None)
Return type:
string, None - previous default options specification
Exceptions raised:
TypeError - bad argument type, or too many arguments
Description:
This methods sets the default connection options value for new connections.
If None is supplied as parameter, environment variables will be used in
future connections. It returns the previous setting for default options.
2.1.5. get_deftty, set_deftty - default connection debug tty handling [DV]
--------------------------------------------------------------------------
Syntax: get_deftty()
Parameters: none
Return type:
string, None - default debug terminal specification
Exceptions raised:
SyntaxError - too many arguments
Description:
This method returns the current default debug terminal specification, or
None if the environment variables should be used. Environment variables
won't be looked up.
Syntax: set_deftty(terminal)
Parameters:
terminal - new default debug terminal (string/None)
Return type:
string, None - previous default debug terminal specification
Exceptions raised:
TypeError - bad argument type, or too many arguments
Description:
This methods sets the default debug terminal value for new connections. If
None is supplied as parameter, environment variables will be used in future
connections. It returns the previous setting for default terminal.
2.1.6. get_defbase, set_defbase - default database name handling [DV]
---------------------------------------------------------------------
Syntax: get_defbase()
Parameters: none
Return type:
string, None - default database name specification
Exceptions raised:
SyntaxError - too many arguments
Description:
This method returns the current default database name specification, or
None if the environment variables should be used. Environment variables
won't be looked up.
Syntax: set_defbase(base)
Parameters:
base - new default base name (string/None)
Return type:
string, None - previous default database name specification
Exceptions raised:
TypeError - bad argument type, or too many arguments
Description:
This method sets the default database name value for new connections. If
None is supplied as parameter, environment variables will be used in
future connections. It returns the previous setting for default host.
2.1.7. Module constants
-----------------------
Some constants are defined in the module dictionary. They are intended to be
used as parameters for methods calls. You should refer to PostgreSQL user
manual for more information about them. These constants are:
- large objects access modes, used by (pgobject.)locreate and
(pglarge.)open: (pg.)INV_READ, (pg.)INV_WRITE
- positional flags, used by (pglarge.)seek: (pg.)SEEK_SET,
(pg.)SEEK_CUR, (pg.)SEEK_END.
- version and __version__ constants that give the current version.
2.1.9.
2.1.10. Miscellaneous attributes
The following methods return information about the current connection.
-
2.2. pgobject description
---------------------------
This object handle a connection to a PostgreSQL database. It embeds and
hides all the parameters that define this connection, thus just leaving really
significant parameters in function calls.
Some methods give direct access to the connection socket. They are specified
by the tag [DA]. DO NOT USE THEM UNLESS YOU REALLY KNOW WHAT YOU ARE DOING. If
you prefer disabling them, set the -DNO_DIRECT option in the Python Setup file.
Some other methods give access to large objects (refer to PostgreSQL user
manual for more information about these). if you want to forbid access to these
from the module, set the -DNO_LARGE option in the Python Setup file. These
methods are specified by the tag [LO].
2.2.1. query - executes a SQL command string
--------------------------------------------
Syntax: query(command)
Parameters:
command - SQL command (string)
Return type:
pgqueryobject, None - result values
Exceptions raised:
TypeError - bad argument type, or too many arguments.
ValueError - empty SQL query
pg.error - error during query processing, or invalid connection
Description:
This method simply sends a SQL query to the database. If the query is
an insert statement, the return value is the OID of the newly
inserted row. If it is otherwise a query that does not return a result
(ie. is not a some kind of SELECT statement), it returns None.
Otherwise, it returns a pgqueryobject that can be accessed via the
getresult or dictresult method or simply printed.
pgqueryobject methods
---------------------
2.2.1.1. getresult - gets the values returned by the query
-------------------------------------------------------------
Syntax: getresult()
Parameters: none
Return type:
list - result values
Exceptions raised:
SyntaxError - too many parameters
pg.error - invalid previous result
Description:
This method returns the list of the values returned by the query.
More information about this result may be accessed using listfields,
fieldname and fieldnum methods.
2.2.1.2. dictresult - like getresult but returns list of dictionaries
---------------------------------------------------------------------
Syntax: dictresult()
Parameters: none
Return type:
list - result values as a dictionary
Exceptions raised:
SyntaxError - too many parameters
pg.error - invalid previous result
Description:
This method returns the list of the values returned by the query
with each tuple returned as a dictionary with the field names
used as the dictionary index.
2.2.1.3. listfields - lists the fields names of the previous query result
-----------------------------------------------------------------------
Syntax: listfields()
Parameters: none
Return type:
list - fields names
Exceptions raised:
SyntaxError - too many parameters
pg.error - invalid previous result, or invalid connection
Description:
This method returns the list of names of the fields defined for the
query result. The fields are in the same order as the result values.
2.2.1.4. fieldname, fieldnum - field name-number conversion
---------------------------------------------------------
Syntax: fieldname(i)
Parameters:
i - field number (integer)
Return type:
string - field name
Exceptions raised:
TypeError - bad parameter type, or too many parameters
ValueError - invalid field number
pg.error - invalid previous result, or invalid connection
Description:
This method allows to find a field name from its rank number. It can be
useful for displaying a result. The fields are in the same order as the
result values.
Syntax: fieldnum(name)
Parameters:
name - field name (string)
Return type:
integer - field number
Exceptions raised:
TypeError - bad parameter type, or too many parameters
ValueError - unknown field name
pg.error - invalid previous result, or invalid connection
Description:
This method returns a field number from its name. It can be used to
build a function that converts result list strings to their correct
type, using a hardcoded table definition. The number returned is the
field rank in the result values list.
2.2.1.5 ntuples - return number of tuples in query object
---------------------------------------------------------
Syntax: ntuples()
Parameters: None
Return type: integer
Description:
This method returns the number of tuples found in a query.
2.2.2. reset - resets the connection
------------------------------------
Syntax: reset()
Parameters: None
Return type: None
Exceptions raised:
TypeError - too many (any) arguments
Description:
This method resets the current database.
2.2.3. close - close the database connection
--------------------------------------------
Syntax: close()
Parameters: none
Return type: None
Exceptions raised:
TypeError - too many (any) arguments
Description:
This method closes the database connection. The connection will
be closed in any case when the connection is deleted but this
allows you to explicitly close it. It is mainly here to allow
the DB-SIG API wrapper to implement a close function.
2.2.4. fileno - returns the socket used to connect to the database
------------------------------------------------------------------
Syntax: fileno()
Parameters: none
Exceptions raised:
TypeError - too many (any) arguments
Description:
This method returns the underlying socket id used to connect
to the database. This is useful for use in select calls, etc.
Note: This function depends on having a recent version of the
database. See "-DNO_PQSOCKET" described above.
2.2.5. getnotify - gets the last notify from the server
-------------------------------------------------------
Syntax: getnotify()
Parameters: none
Return type:
tuple, None - last notify from server
Exceptions raised:
SyntaxError - too many parameters
pg.error - invalid connection
Description:
This methods try to get a notify from the server (from the SQL statement
NOTIFY). If the server returns no notify, the methods returns None.
Otherwise, it returns a tuple (couple) (relname, pid), where relname is the
name of the notify and pid the process id of the connection that triggered
the notify. Remember to do a listen query first otherwise getnotify
will always return None.
2.2.6. inserttable - insert a list into a table
-----------------------------------------------
Syntax: inserttable(table, values)
Parameters:
table - the table name (string)
values - list of rows values (list)
Return type:
None
Exception raised:
pg.error - invalid connection
TypeError - bad argument type, or too many arguments
Description:
This method allow to quickly insert large blocks of data in a table: it
inserts the whole values list into the given table. The list is a list of
tuples/lists that define the values for each inserted row. The rows values
may contain string, integer, long or double (real) values.
BE VERY CAREFUL: this method doesn't typecheck the fields according to the
table definition; it just look whether or not it knows how to handle such
types.
2.2.7. putline - writes a line to the server socket [DA]
--------------------------------------------------------
Syntax: putline(line)
Parameters:
line - line to be written (string)
Return type:
None
Exceptions raised:
pg.error - invalid connection
TypeError - bad parameter type, or too many parameters
Description:
This method allows to directly write a string to the server socket.
2.2.8. getline - gets a line from server socket [DA]
----------------------------------------------------
Syntax: getline()
Parameters: none
Return type:
string - the line read
Exceptions raised:
pg.error - invalid connection
SyntaxError - too many parameters
Description:
This method allows to directly read a string from the server socket.
2.2.9. endcopy - synchronizes client and server [DA]
----------------------------------------------------
Syntax: endcopy()
Parameters: none
Return type:
None
Exceptions raised:
pg.error - invalid connection
SyntaxError - too many parameters
Description:
The use of direct access methods may desynchonize client and server. This
method ensure that client and server will be synchronized.
2.2.10. locreate - creates of large object in the database [LO]
---------------------------------------------------------------
Syntax: locreate(mode)
Parameters:
mode - large object create mode
Return type:
pglarge - object handling the postgres large object
Exceptions raised:
pg.error - invalid connection, or creation error
TypeError - bad parameter type, or too many parameters
Description:
This method creates a large object in the database. The mode can be defined
by OR-ing the constants defined in the pg module (INV_READ, INV_WRITE and
INV_ARCHIVE). Please refer to PostgreSQL user manual for a description of
the mode values.
2.2.11. getlo - builds a large object from given oid [LO]
---------------------------------------------------------
Syntax: getlo(oid)
Parameters:
oid - oid of the existing large object (integer)
Return type:
pglarge - object handling the postgres large object
Exceptions raised:
pg.error - invalid connection
TypeError - bad parameter type, or too many parameters
ValueError - bad oid value (0 is invalid_oid)
Description:
This method allows to reuse a formerly created large object through the
pglarge interface, providing the user have its oid.
2.2.12. loimport - import a file to a postgres large object [LO]
----------------------------------------------------------------
Syntax: loimport(name)
Parameters:
name - the name of the file to be imported (string)
Return type:
pglarge - object handling the postgres large object
Exceptions raised:
pg.error - invalid connection, or error during file import
TypeError - bad argument type, or too many arguments
Description:
This methods allows to create large objects in a very simple way. You just
give the name of a file containing the data to be use.
2.2.13. pgobject attributes
-----------------------------
Every pgobject defines a set of read-only attributes that describe the
connection and its status. These attributes are:
host - the hostname of the server (string)
port - the port of the server (integer)
db - the selected database (string)
options - the connection options (string)
tty - the connection debug terminal (string)
user - the username on the database system (string)
status - the status of the connection (integer: 1 - OK, 0 - BAD)
error - the last warning/error message from the server (string)
2.3. pglarge description
--------------------------
This object handles all the request concerning a postgres large object. It
embeds and hides all the 'recurrent' variables (object oid and connection),
exactly in the same way pgobjects do, thus only keeping significant
parameters in function calls. It keeps a reference to the pgobject used for
its creation, sending requests though with its parameters. Any modification but
dereferencing the pgobject will thus affect the pglarge object.
Dereferencing the initial pgobject is not a problem since Python won't
deallocate it before the large object dereference it.
All functions return a generic error message on call error, whatever the
exact error was. The 'error' attribute of the object allow to get the exact
error message.
2.3.1. open - opens a large object
----------------------------------
Syntax: open(mode)
Parameters:
mode - open mode definition (integer)
Return type:
None
Exceptions raised:
pg.error - invalid connection
TypeError - bad parameter type, or too many parameters
IOError - already opened object, or open error
Description:
This method opens a large object for reading/writing, in the same way than
the UNIX open() function. The mode value can be obtained by OR-ing the
constants defined in the pgmodule (INV_READ, INV_WRITE).
2.3.2. close - closes a large object
------------------------------------
Syntax: close()
Parameters: none
Return type:
None
Exceptions raised:
pg.error - invalid connection
SyntaxError - too many parameters
IOError - object is not opened, or close error
Description:
This method closes a previously opened large object, in the same way than
the UNIX close() function.
2.3.4. read, write, tell, seek, unlink - file like large object handling
------------------------------------------------------------------------
Syntax: read(size)
Parameters:
size - maximal size of the buffer to be read
Return type:
sized string - the read buffer
Exceptions raised:
pg.error - invalid connection or invalid object
TypeError - bad parameter type, or too many parameters
IOError - object is not opened, or read error
Description:
This function allows to read data from a large object, starting at current
position.
Syntax: write(string)
Parameters:
(sized) string - buffer to be written
Return type:
None
Exceptions raised:
pg.error - invalid connection or invalid object
TypeError - bad parameter type, or too many parameters
IOError - object is not opened, or write error
Description:
This function allows to write data to a large object, starting at current
position.
Syntax: seek(offset, whence)
Parameters:
offset - position offset
whence - positional parameter
Return type:
integer - new position in object
Exception raised:
pg.error - invalid connection or invalid object
TypeError - bad parameter type, or too many parameters
IOError - object is not opened, or seek error
Description:
This method allows to move the position cursor in the large object. The
whence parameter can be obtained by OR-ing the constants defined in the
pg module (SEEK_SET, SEEK_CUR, SEEK_END).
Syntax: tell()
Parameters: none
Return type:
integer - current position in large object
Exception raised:
pg.error - invalid connection or invalid object
SyntaxError - too many parameters
IOError - object is not opened, or seek error
Description:
This method allows to get the current position in the large object.
Syntax: unlink()
Parameter: none
Return type:
None
Exception raised:
pg.error - invalid connection or invalid object
SyntaxError - too many parameters
IOError - object is not closed, or unlink error
Description:
This methods unlinks (deletes) the postgres large object.
2.3.5. size - gives the large object size
-----------------------------------------
Syntax: size()
Parameters: none
Return type:
integer - large object size
Exceptions raised:
pg.error - invalid connection or invalid object
SyntaxError - too many parameters
IOError - object is not opened, or seek/tell error
Description:
This (composite) method allows to get the size of a large object. Currently
the large object needs to be opened. It was implemented because this
function is very useful for a WWW interfaced database.
2.3.6. export - saves a large object to a file
----------------------------------------------
Syntax: export(name)
Parameters:
name - file to be created
Return type:
None
Exception raised:
pg.error - invalid connection or invalid object
TypeError - bad parameter type, or too many parameters
IOError - object is not closed, or export error
Description:
This methods allows to dump the content of a large object in a very simple
way. The exported file is created on the host of the program, not the
server host.
2.3.7. Object attributes
------------------------
pglarge objects define a read-only set of attributes that allow to get some
information about it. These attributes are:
oid - the oid associated with the object
pgcnx - the pgobject associated with the object
error - the last warning/error message of the connection
BE CAREFUL: in multithreaded environments, 'error' may be modified by another
thread using the same pgobject. Remember these object are shared, not
duplicated. You should provide some locking to be able if you want to check
this.
The oid attribute is very interesting because it allow you reuse the oid
later, creating the pglarge object with a pgobject getlo() method call.
3. The pg wrapper
================
The previous functions are wrapped in a module called pg. The module
has a class called DB. The above functions are also included in the
name space so it isn't necessary to import both modules. The preferred
way to use this module is as follows.
import pg
db = pg.DB(...) # See description of the initialization method below.
The following describes the methods and variables of this class.
3.1. Initialization
-------------------
The DB class is initialized with the same arguments as the connect
method described in section 2. It also initializes a few internal
variables. The statement 'db = DB()' will open the local database
with the name of the user just like connect() does.
3.2. pkey
---------
Syntax:
pkey(table)
Parameters:
table - name of table
Returns:
Name of field which is the primary key of the table.
Description:
This method returns the primary key of a table. Note that this raises
an exception if the table doesn't have a primary key.
3.3. get_databases - get list of databases in the system
--------------------------------------------------------
Syntax: get_databases()
Parameters: none
Returns: list of databases in the system
Description:
Although you can do this with a simple select, it is added here for
convenience
3.4. get_tables - get list of tables in connected database
----------------------------------------------------------
Syntax: get_tables()
Parameters: none
Returns: list of tables in connected database
3.5. get_attnames
-----------------
Syntax:
get_attnames(table)
Parameters:
table - name of table
Returns:
Dictionary of attribute names (the names are the keys, the values
are the names of the attributes' types)
Description:
Given the name of a table, digs out the set of attribute names.
3.6. get - get a tuple from a database table
--------------------------------------------
Syntax:
get(table, arg, [keyname])
Parameters:
table - name of table
arg - either a dictionary or the value to be looked up
keyname - name of field to use as key (optional)
Returns:
A dictionary mapping attribute names to row values.
Description:
This method is the basic mechanism to get a single row. It assumes
that the key specifies a unique row. If keyname is not specified
then the primary key for the table is used. If arg is a dictionary
then the value for the key is taken from it and it is modified to
include the new values, replacing existing values where necessary.
The oid is also put into the dictionary but in order to allow the
caller to work with multiple tables, the attribute name is munged
to make it unique. It consists of the string "oid_" followed by
the name of the table.
3.7. insert - insert a tuple into a database table
--------------------------------------------------
Syntax:
insert(table, a)
Parameters:
table - name of table
a - a dictionary of values
Returns:
The OID of the newly inserted row.
Description:
This method inserts values into the table specified filling in the
values from the dictionary. It then reloads the dictionary with the
values from the database. This causes the dictionary to be updated
with values that are modified by rules, triggers, etc.
Due to the way that this function works you will find inserts taking
longer and longer as your table gets bigger. To overcome this problem
simply add an index onto the OID of any table that you think may get
large over time.
3.8. update
-----------
Syntax:
update(table, a)
Parameters:
table - name of table
a - a dictionary of values
Returns:
A dictionary with the new row
Description:
Similar to insert but updates an existing row. The update is based
on the OID value as munged by get. The array returned is the
one sent modified to reflect any changes caused by the update due
to triggers, rules, defaults, etc.
3.9. clear
----------
Syntax:
clear(table, [a])
Parameters:
table - name of table
a - a dictionary of values
Returns:
A dictionary with an empty row
Description:
This method clears all the attributes to values determined by the types.
Numeric types are set to 0, dates are set to 'TODAY' and everything
else is set to the empty string. If the array argument is present,
it is used as the array and any entries matching attribute names
are cleared with everything else left unchanged.
3.8. delete
-----------
Syntax:
delete(table, a)
Parameters:
table - name of table
a - a dictionary of values
Returns:
None
Description:
This method deletes the row from a table. It deletes based on the OID
as munged as described above.
4. DB-API reference
===================
This section needs to be written.
5. Todo
3. Todo
=======
The large object and direct access functions need much more attention.
@ -1089,7 +253,7 @@ The DB-API module needs to be documented.
The fetch method should use real cursors.
6. Future directions
4. Future directions
====================
Users should be able to register their own types with _pg.

46
src/interfaces/python/README.linux
View File

@ -1,46 +0,0 @@
Thanks to thilo@eevolute.com and others for this README and the RPM
Note: The precompiled RPM package is not available at www.eevolute.com.
You may use the spec file provided with PyGreSQL to build your
own package.
Hartmut Goebel <hartmut@goebel.noris.de>
INSTALLING PyGreSQL on Redhat Linux 5.1 or 5.2
==============================================
Things are pretty easy on Redhat Linux. You can either get a precompiled
RPM package from
ftp://www.eevolute.com/pub/python/
or try in compile and install it yourself:
bash$ make redhat # this just compiles the module as a shared object
cc -fpic -shared -o _pg.so -I/usr/include/python1.5 pgmodule.c -lpq
bash$ python # you can test it from your local directory
Python 1.5.1 (#1, May 6 1998, 01:48:27) [GCC 2.7.2.3] on linux-i386
Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam
>>> import _pg
>>> db = _pg.connect('thilo', 'localhost')
>>> db.query("INSERT INTO test VALUES ('ping', 'pong')")
18304
>>> db.query("SELECT * FROM test")
eins|zwei
----+----
ping|pong
(1 row)
bash$ su # Yow! Seems to work - now install it properly
bash# cp _pg.so /usr/lib/python1.5/lib-dynload
done!
Oliver White (ojw@muzak.iinet.net.au) sent me the following information
about installing on Debian.
Hi, I thought you might want to upgrade your documentation for PyGreSQL
to let people know they can get it by simply typing 'apt-get install
python-pygresql', on debian (duh). This would have saved me a lot of
trouble.