On 6/26/14, 5:18 PM, Hans-Peter Jansen wrote:
> Dear Mike,
>
> sorry for not coping with preferred reply behavior..
>
> On Donnerstag, 26. Juni 2014 15:26:02 Mike Bayer wrote:
>> On 6/26/14, 3:07 PM, Hans-Peter Jansen wrote:
>>> Obviously, some operation triggers the flush method with about the
>>> same consequences..
>> OK, turn off autoflush - either Session(autoflush=False), or within the
>> critical block, do "with session.no_autoflush:"
> Okay, that makes a difference, shaving of about 40% of total runtime,
> after dealing with identical records in one session..
>
> Still, attributes is highest in profiles. I guess, this is, what you
> called overkill in your first response. A helper for dealing with this
> situation sounds interesting, though.
>
> Thu Jun 26 20:41:50 2014 srelay.pstats
>
> 55993702 function calls (54767154 primitive calls) in 533.479 seconds
>
> Ordered by: internal time
> List reduced from 1277 to 30 due to restriction <30>
>
> ncalls tottime percall cumtime percall filename:lineno(function)
> 42160 292.536 0.007 292.910 0.007
> attributes.py:1321(from_collection)
> 63209 39.185 0.001 39.294 0.001 attributes.py:1255(as_state)
from_collection is essentially returning a structure that describes
which members of a collection were removed or added. if the collection
is totally empty or is unloaded, this method should be much faster. try
not do to this:
enos.values.append(ev)
that's what's causing that latency to occur. The one-to-many of
enos->ev is mirrored by a many to one from ev->enos - set enos as a
parent of ev instead, or even faster, just set the foreign key column on
ev to that of the primary key of enos.
> 39 39.037 1.001 39.037 1.001 {time.sleep}
> 45816 30.949 0.001 30.949 0.001 {method 'query' of
> '_mysql.connection' objects}
> 392 30.039 0.077 30.039 0.077 {method 'recv' of
> '_socket.socket' objects}
> 42240 9.870 0.000 302.804 0.007 attributes.py:871(get_history)
> 21083 4.284 0.000 6.500 0.000 attributes.py:868(__copy)
> 42158 2.230 0.000 2.252 0.000 collections.py:711(__len__)
> 21043 1.466 0.000 1.851 0.000 topological.py:51(find_cycles)
> 4159430 1.369 0.000 1.369 0.000 {isinstance}
> 24683 1.330 0.000 391.984 0.016 session.py:1790(flush)
> 642077/24712 1.292 0.000 12.840 0.001
> visitors.py:74(_compiler_dispatch)
> 197570 1.285 0.000 4.215 0.000 compiler.py:389(visit_label)
> 45735 1.235 0.000 3.615 0.000 default.py:391(_init_compiled)
> 246847 1.145 0.000 1.637 0.000 compiler.py:421(visit_column)
> 24558 1.060 0.000 458.633 0.019 srelay.py:74(store_enos_rec)
> 24636 1.048 0.000 12.709 0.001 compiler.py:1136(visit_select)
> 197552 1.030 0.000 6.000 0.000
> compiler.py:1019(_label_select_column)
> 24636 1.015 0.000 1.793 0.000 result.py:171(__init__)
> 63126 0.939 0.000 3.202 0.000
> persistence.py:275(_collect_update_commands)
> 49200/49172 0.937 0.000 3.539 0.000 db_scheme.py:91(__repr__)
> 147240 0.904 0.000 1.246 0.000
> topological.py:15(sort_as_subsets)
> 126514 0.814 0.000 348.487 0.003 unitofwork.py:411(execute)
> 63191 0.771 0.000 1.984 0.000
> dependency.py:67(per_property_flush_actions)
> 622925 0.751 0.000 0.973 0.000 attributes.py:308(__get__)
> 699682 0.745 0.000 0.745 0.000 state.py:185(dict)
> 189809 0.726 0.000 343.341 0.002
> unitofwork.py:177(get_attribute_history)
> 73928 0.653 0.000 0.781 0.000 expression.py:3538(__init__)
> 42170 0.648 0.000 0.648 0.000 {method 'clear' of 'dict'
> objects}
> 126252 0.639 0.000 1.795 0.000 persistence.py:802(_sort_states)
>
>
> Cheers,
> Pete
>
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