So. This issue is almost exactly the same as the one discussed here -- but the fix (such as it is) discussed in that post doesn't fix things for me.
I'm trying to use Python 2.7.5 and pyodbc 3.0.7 to connect from an Ubuntu 12.04 64bit machine to an IBM Netezza Database. I'm using unixODBC to handle specifying a DSN. This DSN works beautifully from the isql
CLI -- so I know it's configured correctly, and unixODBC is ticking right along.
The code is currently dead simple, and easy to reproduce in a REPL:
In [1]: import pyodbc
In [2]: conn = pyodbc.connect(dsn='NZSQL')
In [3]: curs = conn.cursor()
In [4]: curs.execute("SELECT * FROM DB..FOO ORDER BY created_on DESC LIMIT 10")
Out[4]: <pyodbc.Cursor at 0x1a70ab0>
In [5]: curs.fetchall()
---------------------------------------------------------------------------
InvalidOperation Traceback (most recent call last)
<ipython-input-5-ad813e4432e9> in <module>()
----> 1 curs.fetchall()
/usr/lib/python2.7/decimal.pyc in __new__(cls, value, context)
546 context = getcontext()
547 return context._raise_error(ConversionSyntax,
--> 548 "Invalid literal for Decimal: %r" % value)
549
550 if m.group('sign') == "-":
/usr/lib/python2.7/decimal.pyc in _raise_error(self, condition, explanation, *args)
3864 # Errors should only be risked on copies of the context
3865 # self._ignored_flags = []
-> 3866 raise error(explanation)
3867
3868 def _ignore_all_flags(self):
InvalidOperation: Invalid literal for Decimal: u''
So I get a connection, the query returns correctly, and then when I try to get a row... asplode.
Anybody ever managed to do this?
Turns out pyodbc
can't gracefully convert all of Netezza's types. The table I was working with had two that are problematic:
NUMERIC(7,2)
NVARCHAR(255)
The NUMERIC
column causes a decimal conversion error on NULL. The NVARCHAR
column returns a utf-16-le encoded string, which is a pain in the ass.
I haven't found a good driver-or-wrapper-level solution yet. This can be hacked by casting types in the SQL statement:
SELECT
foo::FLOAT AS was_numeric
, bar::VARCHAR(255) AS was_nvarchar
I'll post here if I find a lower-level answer.