Hi!
I'm using python-processing to run things in parallell based
on data in a Django-powered database.
I'm also seeing all sorts of funky tracebacks:
Traceback (most recent call last):
File "utils/XXXXX.py", line XXXXX, in XXXXXX
XXXXXX = XXXXX(XXXX, XXXXX=XXXXX, XXXX=XXXX)
File "XXXXXX", line XXXXX, in __init__
self.XXXXX = self.XXXXX[list_index][attr]
File "/var/lib/python-support/python2.5/django/db/models/query.py",
line 238,
in __getitem__
return list(qs)[0]
File "/var/lib/python-support/python2.5/django/db/models/query.py",
line 162,
in __len__
self._result_cache.extend(list(self._iter))
File "/var/lib/python-support/python2.5/django/db/models/query.py",
line 659,
in iterator
for row in self.query.results_iter():
File "/var/lib/python-support/python2.5/django/db/models/sql/
query.py", line 2
06, in results_iter
for rows in self.execute_sql(MULTI):
File "/var/lib/python-support/python2.5/django/db/models/sql/
query.py", line 1
748, in <lambda>
result = iter((lambda: cursor.fetchmany(GET_ITERATOR_CHUNK_SIZE)),
ProgrammingError: no results to fetch
It looks to me like postgres is opening only one connection here.
What are my options?
1. Can I open new connections somehow and force the child-process
functions to use them?
2. Re-architecture my code totally from a processing.Pool() with .imap
()
to something else? (This is probably what I'll try while I await a
reply :)
3. Revert to writing my own queries and opening connections really by
hand
4. Something else?
Thanks for any reply, I'm sure I'm not the only one fighting this
issue,
though Googling didn't find many others :)
Oh, and I'd appreciate the ccs in any replies :)
Thanks!
--
mjt
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