Concerning the efficiency problem, it should be noted that the latest 3.3
release of cpython introduces an "accelerator" for decimal data types, as a
C-module.  This module was previously available from the Python package
index at: https://pypi.python.org/pypi/cdecimal/2.2

It may be overkill to try to include such a dependency, but the performance
overhead from using decimal is really mitigated by this implementation.


2013/6/25 Szymon Guz <mabew...@gmail.com>

> On 25 June 2013 05:16, Steve Singer <st...@ssinger.info> wrote:
>
>> On 05/28/2013 04:41 PM, Szymon Guz wrote:
>>
>>> Hi,
>>> I've got a patch.
>>>
>>> This is for a plpython enhancement.
>>>
>>> There is an item at the TODO list http://wiki.postgresql.org/**
>>> wiki/Todo#Server-Side_**Languages<http://wiki.postgresql.org/wiki/Todo#Server-Side_Languages>
>>> "Fix loss of information during conversion of numeric type to Python
>>> float"
>>>
>>> This patch uses a decimal.Decimal type from Python standard library for
>>> the plpthon function numeric argument instead of float.
>>>
>>> Patch contains changes in code, documentation and tests.
>>>
>>> Most probably there is something wrong, as this is my first Postgres
>>> patch :)
>>>
>>>
>> Thanks for contributing.
>>
>> This patch applies cleanly against master and compiles with warnings
>>
>> plpy_main.c: In function ‘PLy_init_interp’:
>> plpy_main.c:157:2: warning: ISO C90 forbids mixed declarations and code
>> [-Wdeclaration-after-**statement]
>> plpy_main.c:161:2: warning: ISO C90 forbids mixed declarations and code
>> [-Wdeclaration-after-**statement]
>>
>> You can avoid this by moving the declaration of decimal and decimal_dict
>> to be at the top of the function where mainmod is declared.
>>
>> Also in this function you've introduced places where it returns with an
>> error (the PLy_elog(ERROR...) calls before decrementing the reference to
>> mainmod. I think you can decrement the mainmod reference after the call to
>> SetItemString  before your changes that import the Decimal module.
>>
>>
>> The patch works as expected, I am able to write python functions that
>> take numerics as arguments and work with them.  I can adjust the decimal
>> context precision inside of  my function.
>>
>> One concern I have is that this patch makes pl/python functions involving
>> numerics more than 3 times as slow as before.
>>
>>
>> create temp table b(a numeric);
>> insert into b select generate_series(1,10000);
>>
>> create or replace function x(a numeric,b numeric) returns numeric as $$
>> if a==None:
>>   return b
>> return a+b
>> $$ language plpythonu;
>> create aggregate sm(basetype=numeric, sfunc=x,stype=numeric);
>>
>>
>> test=# select sm(a) from b;
>>     sm
>> ----------
>>  50005000
>> (1 row)
>>
>> Time: 565.650 ms
>>
>> versus before the patch this was taking in the range of 80ms.
>>
>> Would it be faster to call numeric_send instead of numeric_out and then
>> convert the sequence of Int16's to a tuple of digits that can be passed
>> into the Decimal constructor? I think this is worth trying and testing,
>>
>>
>> Documentation
>> =================
>> Your patched version of the docs say
>>
>>   PostgreSQL <type>real</type>, <type>double</type>, and
>> <type>numeric</type> are converted to
>>    Python <type>Decimal</type>. This type is imported
>> from<literal>decimal.Decimal</**literal>.
>>
>>
>> I don't think this is correct, as far as I can tell your not changing the
>> behaviour for postgresql real and double types, they continue to use
>> floating point.
>>
>>
>>
>> <listitem>
>> <para>
>>        PostgreSQL <type>real</type> and <type>double</type>are converted
>> to
>>        Python <type>float</type>.
>> </para>
>> </listitem>
>>
>> <listitem>
>> <para>
>>        PostgreSQL <type>numeric</type> is converted to
>>        Python <type>Decimal</type>. This type is imported from
>> <literal>decimal.Decimal</**literal>.
>> </para>
>> </listitem>
>>
>>
> Hi,
> I've attached a new patch. I've fixed all the problems you've found,
> except for the efficiency problem, which has been described in previous
> email.
>
> thanks,
> Szymon
>
>
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