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Markup and spell-check run over Programmer's Guide (rather incomplete still).

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Peter Eisentraut
2001-09-10 21:58:47 +00:00
parent 51ba1c5a8c
commit a457d33516
21 changed files with 845 additions and 806 deletions
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14
doc/src/sgml/plpython.sgml
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@ -1,4 +1,4 @@
<!-- $Header: /cvsroot/pgsql/doc/src/sgml/plpython.sgml,v 1.1 2001/05/12 17:49:32 petere Exp $ -->
<!-- $Header: /cvsroot/pgsql/doc/src/sgml/plpython.sgml,v 1.2 2001/09/10 21:58:47 petere Exp $ -->
<chapter id="plpython">
<title>PL/Python - Python Procedural Language</title>
@ -49,9 +49,9 @@ def __plpython_procedure_myfunc_23456():
<para>
PostgreSQL function variables are available in the global
<varname>args</varname> list. In the <function>myfunc</function>
example, args[0] contains whatever was passed in as the text
argument. For <literal>myfunc2(text, int4)</literal>, args[0]
would contain the text variable and args[1] the int4 variable.
example, <varname>args[0]</> contains whatever was passed in as the text
argument. For <literal>myfunc2(text, integer)</literal>, <varname>args[0]</>
would contain the <type>text</type> variable and <varname>args[1]</varname> the <type>integer</type> variable.
</para>
<para>
@ -59,12 +59,12 @@ def __plpython_procedure_myfunc_23456():
function calls. This variable is private static data. The global
dictionary GD is public data, available to all python functions
within a backend. Use with care. When the function is used in a
trigger, the triggers tuples are in TD["new"] and/or TD["old"]
trigger, the triggers tuples are in <literal>TD["new"]</literal> and/or <literal>TD["old"]</literal>
depending on the trigger event. Return 'None' or "OK" from the
python function to indicate the tuple is unmodified, "SKIP" to
abort the event, or "MODIFIED" to indicate you've modified the
tuple. If the trigger was called with arguments they are available
in TD["args"][0] to TD["args"][(n -1)]
in <literal>TD["args"][0] to TD["args"][(n -1)]</literal>.
</para>
<para>
@ -98,7 +98,7 @@ def __plpython_procedure_myfunc_23456():
</para>
<para>
Additionally, the plpy module provides two functions called
Additionally, the <literal>plpy</literal> module provides two functions called
<function>execute</function> and <function>prepare</function>.
Calling <function>plpy.execute</function> with a query string, and
an optional limit argument, causes that query to be run, and the