We must stay in the function's SPI context until done calling the iterator
that returns the set result. Otherwise, any attempt to invoke SPI features
in the python code called by the iterator will malfunction. Diagnosis and
patch by Jan Urbanski, per bug report from Jean-Baptiste Quenot.
Back-patch to 8.2; there was no support for SRFs in previous versions of
plpython.
This patch adds the SQL-standard concept of an INSTEAD OF trigger, which
is fired instead of performing a physical insert/update/delete. The
trigger function is passed the entire old and/or new rows of the view,
and must figure out what to do to the underlying tables to implement
the update. So this feature can be used to implement updatable views
using trigger programming style rather than rule hacking.
In passing, this patch corrects the names of some columns in the
information_schema.triggers view. It seems the SQL committee renamed
them somewhere between SQL:99 and SQL:2003.
Dean Rasheed, reviewed by Bernd Helmle; some additional hacking by me.
In PLy_spi_execute_plan, use the data-type specific Python-to-PostgreSQL
conversion function instead of passing everything through InputFunctionCall
as a string. The equivalent fix was already done months ago for function
parameters and return values, but this other gateway between Python and
PostgreSQL was apparently forgotten. As a result, data types that need
special treatment, such as bytea, would misbehave when used with
plpy.execute.
Mimic the Python interpreter's own logic for printing exceptions instead
of just using the straight str() call, so that
you get
plpy.SPIError
instead of
<class 'plpy.SPIError'>
and for built-in exceptions merely
UnicodeEncodeError
Besides looking better this cuts down on the endless version differences
in the regression test expected files.
Behaves more or less unchanged compared to Python 2, but the new language
variant is called plpython3u. Documentation describing the naming scheme
is included.
Check calls of PyUnicode_AsEncodedString() for NULL return, probably
because the encoding name is not known. Add special treatment for
SQL_ASCII, which Python definitely does not know.
Since using SQL_ASCII produces errors in the regression tests when
non-ASCII characters are involved, we have to put back various regression
test result variants.
PL/Python now accepts Unicode objects where it previously only accepted string
objects (for example, as return value). Unicode objects are converted to the
PostgreSQL server encoding as necessary.
This change is also necessary for future Python 3 support, which treats all
strings as Unicode objects.
Since this removes the error conditions that the plpython_unicode test file
tested for, the alternative result files are no longer necessary.
Before, PL/Python converted data between SQL and Python by going
through a C string representation. This broke for bytea in two ways:
- On input (function parameters), you would get a Python string that
contains bytea's particular external representation with backslashes
etc., instead of a sequence of bytes, which is what you would expect
in a Python environment. This problem is exacerbated by the new
bytea output format.
- On output (function return value), null bytes in the Python string
would cause truncation before the data gets stored into a bytea
datum.
This is now fixed by converting directly between the PostgreSQL datum
and the Python representation.
The required generalized infrastructure also allows for other
improvements in passing:
- When returning a boolean value, the SQL datum is now true if and
only if Python considers the value that was passed out of the
PL/Python function to be true. Previously, this determination was
left to the boolean data type input function. So, now returning
'foo' results in true, because Python considers it true, rather than
false because PostgreSQL considers it false.
- On input, we can convert the integer and float types directly to
their Python equivalents without having to go through an
intermediate string representation.
original patch by Caleb Welton, with updates by myself
Extract the "while creating return value" and "while modifying trigger
row" parts of some error messages into another layer of error context.
This will simplify the upcoming patch to improve data type support, but
it can stand on its own.
Switch the implementation of the plan and result types to generic attribute
management, as described at <http://docs.python.org/extending/newtypes.html>.
This modernizes and simplifies the code a bit and prepares for Python 3.1,
where the old way doesn't work anymore.
This changes a bunch of incidentially used constructs in the PL/Python
regression tests to equivalent constructs in cases where Python 3 no longer
supports the old syntax. Support for older Python versions is unchanged.
Add some checks on various data types are converted into and out of Python.
This is extracted from Caleb Welton's patch for improved bytea support,
but much expanded.
of the previous monolithic setup-create-run sequence, that was apparently
inherited from a previous test infrastructure, but makes working with the
tests and adding new ones weird.
Error messages from PL/Python now always mention the function name in the
CONTEXT: field. This also obsoletes the few places that tried to do the
same manually.
Regression test files are updated to work with Python 2.4-2.6. I don't have
access to older versions right now.
for its arguments. Also add a regression test, since someone apparently
changed every single plpython test case to use only named parameters; else
we'd have noticed this sooner.
Euler Taveira de Oliveira, per a report from Alvaro
python 2.5. This involves fixing several violations of the published
spec for creating PyTypeObjects, and adding another regression test
expected output for yet another variation of error message spelling.
(I didn't use his patch, however). A void-returning PL/Python function
must return None (from Python), which is translated into a void datum
(and *not* NULL) for Postgres. I also added some regression tests for
this functionality.
when a plpython function returns unicode" thread:
http://archives.postgresql.org/pgsql-bugs/2005-06/msg00105.php
In several places PL/Python was calling PyObject_Str() and then
PyString_AsString() without checking if the former had returned
NULL to indicate an error. PyString_AsString() doesn't expect a
NULL argument, so passing one causes a segmentation fault. This
patch adds checks for NULL and raises errors via PLy_elog(), which
prints details of the underlying Python exception. The patch also
adds regression tests for these checks. All tests pass on my
Solaris 9 box running HEAD and Python 2.4.1.
In one place the patch doesn't call PLy_elog() because that could
cause infinite recursion; see the comment I added. I'm not sure
how to test that particular case or whether it's even possible to
get an error there: the value that the code should check is the
Python exception type, so I wonder if a NULL value "shouldn't
happen." This patch converts NULL to "Unknown Exception" but I
wonder if an Assert() would be appropriate.
The patch is against HEAD but the same changes should be applied
to earlier versions because they have the same problem. The patch
might not apply cleanly against earlier versions -- will the committer
take care of little differences or should I submit different versions
of the patch?
Michael Fuhr
*fail*, to test that plpython didn't allow untrusted operations.
When we changed plpython to plpythonu because python didn't actually have
a secure sandbox mode, someone (probably me :-() misinterpreted the tests
as checking whether Python's file I/O works. Which is a stupid thing for
us to be testing. Remove it so we don't clutter the filesystem with
random temporary files.
