[optimization] improve massive write performance by optimizing hooks selection
profiling on some massive deletion showed up that 2/3 of the time was spent
in hooks selection. Those changes make it much more acceptable (through
selection is still not negligeable):
* use one registry for each event, so we've much less hooks to check
when emiting an event as well as no more need for the match_event
selector. This required ability to put one appobject
into several registries, using a __registries__ class attribute.
* check for deprecated .enabled at registry initialization time instead
of at selection time
A very simple HooksManager class has been reintroduce to choose the
right registry on call_hooks.
Those optimisations leads to a ~x3 factor of time necessary to delete
16000 entities.
"""bookmark related hooks
:organization: Logilab
:copyright: 2001-2010 LOGILAB S.A. (Paris, FRANCE), license is LGPL v2.
:contact: http://www.logilab.fr/ -- mailto:contact@logilab.fr
:license: GNU Lesser General Public License, v2.1 - http://www.gnu.org/licenses
"""
__docformat__ = "restructuredtext en"
from cubicweb.server import hook
class AutoDeleteBookmarkOp(hook.Operation):
bookmark = None # make pylint happy
def precommit_event(self):
if not self.session.deleted_in_transaction(self.bookmark.eid):
if not self.bookmark.bookmarked_by:
self.bookmark.delete()
class DelBookmarkedByHook(hook.Hook):
"""ensure user logins are stripped"""
__regid__ = 'autodelbookmark'
__select__ = hook.Hook.__select__ & hook.match_rtype('bookmarked_by',)
category = 'bookmark'
events = ('after_delete_relation',)
def __call__(self):
AutoDeleteBookmarkOp(self._cw,
bookmark=self._cw.entity_from_eid(self.eidfrom))