4:04 a.m.
Hi all,
we observe a strange behavior with one of our rules. After deployment
and sending lots of events (~150,000 of type "a"), the server slows down
rapidly until it runs out of memory.
We checked with VisualVM which objects are filling the memory: In one
moment there were almost 14GB of NotNodeLeftTuples (88,933,186 Instances)!
This is our rule:
rule "example"
when
$evt1:EventObject(type=='a', $id:data['id'], $user:user) from entry-point
internalstream
$evt2:EventObject(type=='a', data['id']==$id, user!=$user, $user2:user)
from entry-point internalstream
not(EventObject(type=='b', user==$user, data['friendid']==$user2) from
entry-point internalstream)
then
EventObject evt = new EventObject();
evt.setType('b');
evt.setUser($evt1.getUser());
evt.put('friendid', $evt2.getUser());
entryPoints['internalstream'].insert(evt);
end
Is that behavior correct for such a size of event combinations when using a
NOT in the rule?
Thanks,
Svenja
4:22 a.m.
The amount of memory required for 150K type "a" depends on the actual
distribution of this data w.r.t. fields id and user, and other
circumstances; it is not only the rule that is to blame.
There is one flaw, though: The rule would fire twice for a matching
pair of events of type "a". It's possible that you do want to have a
type "b" for both combinations of user and friendid, but you could
create both in a single rule, which should halve your memory
requirements. If there is no ordered attribute, use the timestamp to
restrict a pair to only one combination (hint: "after").
This will still generate a lot of network nodes.
Other ideas for reduction may have to take the entire application
scenario into account, e.g., can you retract events after they have
been paired, or how do you do inserts and calls to fireAllRules, etc.
Most importantly, however, is the actual frequency of id and user
values in relation to type "a" events.
-W
On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
Hi all,
we observe a strange behavior with one of our rules. After deployment
and sending lots of events (~150,000 of type "a"), the server slows down
rapidly until it runs out of memory.
We checked with VisualVM which objects are filling the memory: In one
moment there were almost 14GB of NotNodeLeftTuples (88,933,186 Instances)!
This is our rule:
rule "example"
when
$evt1:EventObject(type=='a', $id:data['id'], $user:user) from
entry-point
internalstream
$evt2:EventObject(type=='a', data['id']==$id, user!=$user, $user2:user)
from entry-point internalstream
not(EventObject(type=='b', user==$user, data['friendid']==$user2) from
entry-point internalstream)
then
EventObject evt = new EventObject();
evt.setType('b');
evt.setUser($evt1.getUser());
evt.put('friendid', $evt2.getUser());
entryPoints['internalstream'].insert(evt);
end
Is that behavior correct for such a size of event combinations when using a
NOT in the rule?
Thanks,
Svenja
4:48 a.m.
Thanks for the input. For 150,000 type "a" events we had about 50,000
different ids and 1,000 user values.
After all, combinations possible for type "b" were only 1,000,000 (1,000
users * 1,000 users), which is why I am surprised to have 88 million
instances.
Yes, it is intentional to have the rule fire twice for each combination :-)
Unfortunately, retracting events is not an option right now.
I started another round, where I ensured to insert a lot more "b" events:
The memory used by NotNodeLeftTuples is a lot less, even though these nodes
still use most of the memory.
Concluding from all that, I guess it is possible that the nodes take that
much space (up to many GB), and the more events are inserted which
invalidate the NOT nodes, the less memory is used by them?
2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
The amount of memory required for 150K type "a" depends on
the actual
distribution of this data w.r.t. fields id and user, and other
circumstances; it is not only the rule that is to blame.
There is one flaw, though: The rule would fire twice for a matching
pair of events of type "a". It's possible that you do want to have a
type "b" for both combinations of user and friendid, but you could
create both in a single rule, which should halve your memory
requirements. If there is no ordered attribute, use the timestamp to
restrict a pair to only one combination (hint: "after").
This will still generate a lot of network nodes.
Other ideas for reduction may have to take the entire application
scenario into account, e.g., can you retract events after they have
been paired, or how do you do inserts and calls to fireAllRules, etc.
Most importantly, however, is the actual frequency of id and user
values in relation to type "a" events.
-W
On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> Hi all,
>
> we observe a strange behavior with one of our rules. After deployment
> and sending lots of events (~150,000 of type "a"), the server slows down
> rapidly until it runs out of memory.
> We checked with VisualVM which objects are filling the memory: In one
> moment there were almost 14GB of NotNodeLeftTuples (88,933,186
Instances)!
>
> This is our rule:
>
> rule "example"
> when
> $evt1:EventObject(type=='a', $id:data['id'], $user:user) from
entry-point
> internalstream
> $evt2:EventObject(type=='a', data['id']==$id, user!=$user,
$user2:user)
> from entry-point internalstream
> not(EventObject(type=='b', user==$user, data['friendid']==$user2)
from
> entry-point internalstream)
> then
> EventObject evt = new EventObject();
> evt.setType('b');
> evt.setUser($evt1.getUser());
> evt.put('friendid', $evt2.getUser());
> entryPoints['internalstream'].insert(evt);
> end
>
> Is that behavior correct for such a size of event combinations when
using a
> NOT in the rule?
>
> Thanks,
> Svenja
>
_______________________________________________
rules-users mailing list
rules-users(a)lists.jboss.org
https://lists.jboss.org/mailman/listinfo/rules-users
5:13 a.m.
On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
Thanks for the input. For 150,000 type "a" events we had
about 50,000
different ids and 1,000 user values.
After all, combinations possible for type "b" were only 1,000,000 (1,000
users * 1,000 users), which is why I am surprised to have 88 million
instances.
The system will create network nodes even when only one pattern matches.
150,000/50,000 = 3 exactly, or average?
If you have 3 events A, B, C with identical ids and different users,
you'll get the following candidates for an activation: (A,B), (B,A),
(A,C), (C,A), (B,C), (C,B)
and this increases O(n^2). - Since you know the exact distribution of
your data, you might compute this precisely.
Is the distribution of id/user combinations realistic? What else do
you need to do with Event type "a"? Similar? Completely different? -
There would be a simple solution to significantly reduce the memory
requirements, but it may not be feasible due to these answers.
Yes, it is intentional to have the rule fire twice for each combination :-)
Unfortunately, retracting events is not an option right now.
Then, at least, generate both in a single rule.
I started another round, where I ensured to insert a lot more "b" events:
The memory used by NotNodeLeftTuples is a lot less, even though these nodes
still use most of the memory.
Concluding from all that, I guess it is possible that the nodes take that
much space (up to many GB), and the more events are inserted which
invalidate the NOT nodes, the less memory is used by them?
Well, you don't need the NOT node, and their number depends on the
distribution of your data.
-W
2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> The amount of memory required for 150K type "a" depends on the actual
> distribution of this data w.r.t. fields id and user, and other
> circumstances; it is not only the rule that is to blame.
>
> There is one flaw, though: The rule would fire twice for a matching
> pair of events of type "a". It's possible that you do want to have a
> type "b" for both combinations of user and friendid, but you could
> create both in a single rule, which should halve your memory
> requirements. If there is no ordered attribute, use the timestamp to
> restrict a pair to only one combination (hint: "after").
>
> This will still generate a lot of network nodes.
>
> Other ideas for reduction may have to take the entire application
> scenario into account, e.g., can you retract events after they have
> been paired, or how do you do inserts and calls to fireAllRules, etc.
> Most importantly, however, is the actual frequency of id and user
> values in relation to type "a" events.
>
> -W
>
>
>
> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> > Hi all,
> >
> > we observe a strange behavior with one of our rules. After deployment
> > and sending lots of events (~150,000 of type "a"), the server slows
> > down
> > rapidly until it runs out of memory.
> > We checked with VisualVM which objects are filling the memory: In one
> > moment there were almost 14GB of NotNodeLeftTuples (88,933,186
> Instances)!
> >
> > This is our rule:
> >
> > rule "example"
> > when
> > $evt1:EventObject(type=='a', $id:data['id'], $user:user) from
> > entry-point
> > internalstream
> > $evt2:EventObject(type=='a', data['id']==$id, user!=$user,
$user2:user)
> > from entry-point internalstream
> > not(EventObject(type=='b', user==$user,
data['friendid']==$user2) from
> > entry-point internalstream)
> > then
> > EventObject evt = new EventObject();
> > evt.setType('b');
> > evt.setUser($evt1.getUser());
> > evt.put('friendid', $evt2.getUser());
> > entryPoints['internalstream'].insert(evt);
> > end
> >
> > Is that behavior correct for such a size of event combinations when
> using a
> > NOT in the rule?
> >
> > Thanks,
> > Svenja
> >
> _______________________________________________
> rules-users mailing list
> rules-users(a)lists.jboss.org
> https://lists.jboss.org/mailman/listinfo/rules-users
>
6:55 a.m.
The system will create network nodes even when only one pattern matches.
150,000/50,000 = 3 exactly, or average?
3 exactly.
If you have 3 events A, B, C with identical ids and different users,
you'll get the following candidates for an activation: (A,B),
(B,A),
(A,C), (C,A), (B,C), (C,B)
and this increases O(n^2). - Since you know the exact distribution of
your data, you might compute this precisely.
Okay. But if I always have only 3 events with the same id, the next three
events D, E, F, that might have other users and another id, would not be
combined with A, B or C, right?
I would get the six combinations you defined plus (D,E), (E,D), (D,F),
(F,D), (E,F), and (F,E).
Going on with that, I would only see it growing by O(2n), which for this
150,000 events would mean 300,000 activations. Where am I going wrong?
Is the distribution of id/user combinations realistic?
What do you mean by realistic? In our test scenario, we always have 3
events with the same id, and approx. 1000 users which are randomly used in
the events.
What else do
you need to do with Event type "a"? Similar? Completely different? -
There would be a simple solution to significantly reduce the memory
requirements, but it may not be feasible due to these answers.
At the moment we are just designing a generic solution, which might be
extended by rules afterwards, so that "old" events might need to be reused.
In a real environment, of course, we would retract some events not needed
any longer. But for now we are doing some performance testing and were
surprised that we could "crash" the system with one single rule. Of course,
with a lot of events ;-)
2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> > Thanks for the input. For 150,000 type "a" events we had about 50,000
> > different ids and 1,000 user values.
> > After all, combinations possible for type "b" were only 1,000,000
(1,000
> > users * 1,000 users), which is why I am surprised to have 88 million
> > instances.
The system will create network nodes even when only one pattern matches.
150,000/50,000 = 3 exactly, or average?
>
> If you have 3 events A, B, C with identical ids and different users,
you'll get the following candidates for an activation: (A,B),
(B,A),
(A,C), (C,A), (B,C), (C,B)
and this increases O(n^2). - Since you know the exact distribution of
your data, you might compute this precisely.
> Is the distribution of id/user combinations realistic? What else do
> you need to do with Event type "a"? Similar? Completely different? -
> There would be a simple solution to significantly reduce the memory
> requirements, but it may not be feasible due to these answers.
>
> >
> > Yes, it is intentional to have the rule fire twice for each combination
> :-)
> > Unfortunately, retracting events is not an option right now.
>
> Then, at least, generate both in a single rule.
>
> >
> > I started another round, where I ensured to insert a lot more "b"
events:
> > The memory used by NotNodeLeftTuples is a lot less, even though these
> nodes
> > still use most of the memory.
> > Concluding from all that, I guess it is possible that the nodes take that
> > much space (up to many GB), and the more events are inserted which
> > invalidate the NOT nodes, the less memory is used by them?
>
> Well, you don't need the NOT node, and their number depends on the
> distribution of your data.
>
> -W
>
> >
> > 2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> >
> >> The amount of memory required for 150K type "a" depends on the
actual
> >> distribution of this data w.r.t. fields id and user, and other
> >> circumstances; it is not only the rule that is to blame.
> >>
> >> There is one flaw, though: The rule would fire twice for a matching
> >> pair of events of type "a". It's possible that you do want to
have a
> >> type "b" for both combinations of user and friendid, but you
could
> >> create both in a single rule, which should halve your memory
> >> requirements. If there is no ordered attribute, use the timestamp to
> >> restrict a pair to only one combination (hint: "after").
> >>
> >> This will still generate a lot of network nodes.
> >>
> >> Other ideas for reduction may have to take the entire application
> >> scenario into account, e.g., can you retract events after they have
> >> been paired, or how do you do inserts and calls to fireAllRules, etc.
> >> Most importantly, however, is the actual frequency of id and user
> >> values in relation to type "a" events.
> >>
> >> -W
> >>
> >>
> >>
> >> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> >> > Hi all,
> >> >
> >> > we observe a strange behavior with one of our rules. After deployment
> >> > and sending lots of events (~150,000 of type "a"), the server
slows
> >> > down
> >> > rapidly until it runs out of memory.
> >> > We checked with VisualVM which objects are filling the memory: In one
> >> > moment there were almost 14GB of NotNodeLeftTuples (88,933,186
> >> Instances)!
> >> >
> >> > This is our rule:
> >> >
> >> > rule "example"
> >> > when
> >> > $evt1:EventObject(type=='a', $id:data['id'],
$user:user) from
> >> > entry-point
> >> > internalstream
> >> > $evt2:EventObject(type=='a', data['id']==$id,
user!=$user,
> $user2:user)
> >> > from entry-point internalstream
> >> > not(EventObject(type=='b', user==$user,
data['friendid']==$user2) from
> >> > entry-point internalstream)
> >> > then
> >> > EventObject evt = new EventObject();
> >> > evt.setType('b');
> >> > evt.setUser($evt1.getUser());
> >> > evt.put('friendid', $evt2.getUser());
> >> > entryPoints['internalstream'].insert(evt);
> >> > end
> >> >
> >> > Is that behavior correct for such a size of event combinations when
> >> using a
> >> > NOT in the rule?
> >> >
> >> > Thanks,
> >> > Svenja
> >> >
> >> _______________________________________________
> >> rules-users mailing list
> >> rules-users(a)lists.jboss.org
> >> https://lists.jboss.org/mailman/listinfo/rules-users
> >>
> >
> _______________________________________________
> rules-users mailing list
> rules-users(a)lists.jboss.org
> https://lists.jboss.org/mailman/listinfo/rules-users
>
10:15 a.m.
On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
>
> The system will create network nodes even when only one pattern matches.
> 150,000/50,000 = 3 exactly, or average?
3 exactly.
I was running your rule with this data using Drools 5.2/3/4/5.0:
WorkingMemoryEntryPoint ep =
kSession.getWorkingMemoryEntryPoint("internalstream");
Event e;
Random rand = new Random();
for( int id = 1; id <= 100000; id++ ){
int iName = rand.nextInt( 1000 ) + 1;
e = new Event( "a", "Joe" + iName );
e.put( "id", "id"+id );
ep.insert( e );
e = new Event( "a", "Jack" + iName );
e.put( "id", "id"+id );
ep.insert( e );
e = new Event( "a", "Jill" + iName );
e.put( "id", "id"+id );
ep.insert( e );
}
As you can see, I insert 300,000 facts, and there wasn't a problem
with memory, so I didn't check the node count. Are there any other
rules in the rule base?
As you have written: you'll get 50,000 x 6 = 300,000 fact reference
pairs to represent matching EventA pairs. Indeed, I'd expect the
NotNodeLeftTuples to have the same order of magnitude.
> Is the distribution of id/user combinations realistic?
What do you mean by realistic?
Is this as it will be in production?
> What else do
> you need to do with Event type "a"? Similar? Completely different? -
> There would be a simple solution to significantly reduce the memory
> requirements, but it may not be feasible due to these answers.
At the moment we are just designing a generic solution, which might be
extended by rules afterwards, so that "old" events might need to be reused.
In a real environment, of course, we would retract some events not needed
any longer. But for now we are doing some performance testing and were
surprised that we could "crash" the system with one single rule. Of course,
with a lot of events ;-)
You can crash with even simpler rules :-)
-W
2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> > Thanks for the input. For 150,000 type "a" events we had about 50,000
> > different ids and 1,000 user values.
> > After all, combinations possible for type "b" were only 1,000,000
> > (1,000
> > users * 1,000 users), which is why I am surprised to have 88 million
> > instances.
>
> The system will create network nodes even when only one pattern matches.
> 150,000/50,000 = 3 exactly, or average?
>
> If you have 3 events A, B, C with identical ids and different users,
> you'll get the following candidates for an activation: (A,B), (B,A),
> (A,C), (C,A), (B,C), (C,B)
> and this increases O(n^2). - Since you know the exact distribution of
> your data, you might compute this precisely.
>
> Is the distribution of id/user combinations realistic? What else do
> you need to do with Event type "a"? Similar? Completely different? -
> There would be a simple solution to significantly reduce the memory
> requirements, but it may not be feasible due to these answers.
>
> >
> > Yes, it is intentional to have the rule fire twice for each combination
> :-)
> > Unfortunately, retracting events is not an option right now.
>
> Then, at least, generate both in a single rule.
>
> >
> > I started another round, where I ensured to insert a lot more "b"
> > events:
> > The memory used by NotNodeLeftTuples is a lot less, even though these
> nodes
> > still use most of the memory.
> > Concluding from all that, I guess it is possible that the nodes take
> > that
> > much space (up to many GB), and the more events are inserted which
> > invalidate the NOT nodes, the less memory is used by them?
>
> Well, you don't need the NOT node, and their number depends on the
> distribution of your data.
>
> -W
>
> >
> > 2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> >
> >> The amount of memory required for 150K type "a" depends on the
actual
> >> distribution of this data w.r.t. fields id and user, and other
> >> circumstances; it is not only the rule that is to blame.
> >>
> >> There is one flaw, though: The rule would fire twice for a matching
> >> pair of events of type "a". It's possible that you do want to
have a
> >> type "b" for both combinations of user and friendid, but you
could
> >> create both in a single rule, which should halve your memory
> >> requirements. If there is no ordered attribute, use the timestamp to
> >> restrict a pair to only one combination (hint: "after").
> >>
> >> This will still generate a lot of network nodes.
> >>
> >> Other ideas for reduction may have to take the entire application
> >> scenario into account, e.g., can you retract events after they have
> >> been paired, or how do you do inserts and calls to fireAllRules, etc.
> >> Most importantly, however, is the actual frequency of id and user
> >> values in relation to type "a" events.
> >>
> >> -W
> >>
> >>
> >>
> >> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> >> > Hi all,
> >> >
> >> > we observe a strange behavior with one of our rules. After
> >> > deployment
> >> > and sending lots of events (~150,000 of type "a"), the server
slows
> >> > down
> >> > rapidly until it runs out of memory.
> >> > We checked with VisualVM which objects are filling the memory: In
> >> > one
> >> > moment there were almost 14GB of NotNodeLeftTuples (88,933,186
> >> Instances)!
> >> >
> >> > This is our rule:
> >> >
> >> > rule "example"
> >> > when
> >> > $evt1:EventObject(type=='a', $id:data['id'],
$user:user) from
> >> > entry-point
> >> > internalstream
> >> > $evt2:EventObject(type=='a', data['id']==$id,
user!=$user,
> $user2:user)
> >> > from entry-point internalstream
> >> > not(EventObject(type=='b', user==$user,
data['friendid']==$user2)
> >> > from
> >> > entry-point internalstream)
> >> > then
> >> > EventObject evt = new EventObject();
> >> > evt.setType('b');
> >> > evt.setUser($evt1.getUser());
> >> > evt.put('friendid', $evt2.getUser());
> >> > entryPoints['internalstream'].insert(evt);
> >> > end
> >> >
> >> > Is that behavior correct for such a size of event combinations when
> >> using a
> >> > NOT in the rule?
> >> >
> >> > Thanks,
> >> > Svenja
> >> >
> >> _______________________________________________
> >> rules-users mailing list
> >> rules-users(a)lists.jboss.org
> >> https://lists.jboss.org/mailman/listinfo/rules-users
> >>
> >
> _______________________________________________
> rules-users mailing list
> rules-users(a)lists.jboss.org
> https://lists.jboss.org/mailman/listinfo/rules-users
>
8 a.m.
As you can see, I insert 300,000 facts, and there wasn't a problem
with memory, so I didn't check the node count. Are there any other
rules in the rule base?
Thanks! We have six other rules in the rule base, but none of them has a
NOT in it. So I hope all tuples belong to that rule, and as I tested
without that specific rule there were no NotNodeLeftTuples.
In the case where the 14GB of tupels were produced our distribution
actually was *not *randomly distributed, but still with a random
distribution we have a lot of NOT node tuples, e.g., 6 million NOT node
tuples for 128*128=16,384 possible nodes.
Indeed, I'd expect the
NotNodeLeftTuples to have the same order of magnitude.
Can you explain when a NotNodeLeftTuple is created exactly, and when it is
removed/not created? Unfortunately, I did not find any information or
documentation on this. We definitely want to understand in which case so
many tuples are created to be able to avoid this behavior or construct
rules in other ways.
2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> >>
> >> The system will create network nodes even when only one pattern matches.
> >> 150,000/50,000 = 3 exactly, or average?
> >
> > 3 exactly.
>
> I was running your rule with this data using Drools 5.2/3/4/5.0:
>
> WorkingMemoryEntryPoint ep =
> kSession.getWorkingMemoryEntryPoint("internalstream");
> Event e;
> Random rand = new Random();
> for( int id = 1; id <= 100000; id++ ){
> int iName = rand.nextInt( 1000 ) + 1;
> e = new Event( "a", "Joe" + iName );
> e.put( "id", "id"+id );
> ep.insert( e );
> e = new Event( "a", "Jack" + iName );
> e.put( "id", "id"+id );
> ep.insert( e );
> e = new Event( "a", "Jill" + iName );
> e.put( "id", "id"+id );
> ep.insert( e );
> }
> As you can see, I insert 300,000 facts, and there wasn't a problem
> with memory, so I didn't check the node count. Are there any other
> rules in the rule base?
>
> As you have written: you'll get 50,000 x 6 = 300,000 fact reference
> pairs to represent matching EventA pairs. Indeed, I'd expect the
NotNodeLeftTuples to have the same order of magnitude.
>
> >> Is the distribution of id/user combinations realistic?
> >
> > What do you mean by realistic?
>
> Is this as it will be in production?
>
> >
> >
> >> What else do
> >> you need to do with Event type "a"? Similar? Completely different?
-
> >> There would be a simple solution to significantly reduce the memory
> >> requirements, but it may not be feasible due to these answers.
> >
> > At the moment we are just designing a generic solution, which might be
> > extended by rules afterwards, so that "old" events might need to be
> reused.
> > In a real environment, of course, we would retract some events not needed
> > any longer. But for now we are doing some performance testing and were
> > surprised that we could "crash" the system with one single rule. Of
> course,
> > with a lot of events ;-)
>
> You can crash with even simpler rules :-)
>
> -W
>
> >
> > 2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> >
> >> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com> wrote:
> >> > Thanks for the input. For 150,000 type "a" events we had
about 50,000
> >> > different ids and 1,000 user values.
> >> > After all, combinations possible for type "b" were only
1,000,000
> >> > (1,000
> >> > users * 1,000 users), which is why I am surprised to have 88 million
> >> > instances.
> >>
> >> The system will create network nodes even when only one pattern matches.
> >> 150,000/50,000 = 3 exactly, or average?
> >>
> >> If you have 3 events A, B, C with identical ids and different users,
> >> you'll get the following candidates for an activation: (A,B), (B,A),
> >> (A,C), (C,A), (B,C), (C,B)
> >> and this increases O(n^2). - Since you know the exact distribution of
> >> your data, you might compute this precisely.
> >>
> >> Is the distribution of id/user combinations realistic? What else do
> >> you need to do with Event type "a"? Similar? Completely different?
-
> >> There would be a simple solution to significantly reduce the memory
> >> requirements, but it may not be feasible due to these answers.
> >>
> >> >
> >> > Yes, it is intentional to have the rule fire twice for each
> combination
> >> :-)
> >> > Unfortunately, retracting events is not an option right now.
> >>
> >> Then, at least, generate both in a single rule.
> >>
> >> >
> >> > I started another round, where I ensured to insert a lot more
"b"
> >> > events:
> >> > The memory used by NotNodeLeftTuples is a lot less, even though these
> >> nodes
> >> > still use most of the memory.
> >> > Concluding from all that, I guess it is possible that the nodes take
> >> > that
> >> > much space (up to many GB), and the more events are inserted which
> >> > invalidate the NOT nodes, the less memory is used by them?
> >>
> >> Well, you don't need the NOT node, and their number depends on the
> >> distribution of your data.
> >>
> >> -W
> >>
> >> >
> >> > 2013/1/7 Wolfgang Laun <wolfgang.laun(a)gmail.com>
> >> >
> >> >> The amount of memory required for 150K type "a" depends
on the actual
> >> >> distribution of this data w.r.t. fields id and user, and other
> >> >> circumstances; it is not only the rule that is to blame.
> >> >>
> >> >> There is one flaw, though: The rule would fire twice for a
matching
> >> >> pair of events of type "a". It's possible that you do
want to have a
> >> >> type "b" for both combinations of user and friendid, but
you could
> >> >> create both in a single rule, which should halve your memory
> >> >> requirements. If there is no ordered attribute, use the timestamp
to
> >> >> restrict a pair to only one combination (hint: "after").
> >> >>
> >> >> This will still generate a lot of network nodes.
> >> >>
> >> >> Other ideas for reduction may have to take the entire application
> >> >> scenario into account, e.g., can you retract events after they
have
> >> >> been paired, or how do you do inserts and calls to fireAllRules,
etc.
> >> >> Most importantly, however, is the actual frequency of id and user
> >> >> values in relation to type "a" events.
> >> >>
> >> >> -W
> >> >>
> >> >>
> >> >>
> >> >> On 07/01/2013, Svenja Brunstein <svenja.brunstein(a)gmail.com>
wrote:
> >> >> > Hi all,
> >> >> >
> >> >> > we observe a strange behavior with one of our rules. After
> >> >> > deployment
> >> >> > and sending lots of events (~150,000 of type "a"),
the server slows
> >> >> > down
> >> >> > rapidly until it runs out of memory.
> >> >> > We checked with VisualVM which objects are filling the memory:
In
> >> >> > one
> >> >> > moment there were almost 14GB of NotNodeLeftTuples
(88,933,186
> >> >> Instances)!
> >> >> >
> >> >> > This is our rule:
> >> >> >
> >> >> > rule "example"
> >> >> > when
> >> >> > $evt1:EventObject(type=='a', $id:data['id'],
$user:user) from
> >> >> > entry-point
> >> >> > internalstream
> >> >> > $evt2:EventObject(type=='a', data['id']==$id,
user!=$user,
> >> $user2:user)
> >> >> > from entry-point internalstream
> >> >> > not(EventObject(type=='b', user==$user,
data['friendid']==$user2)
> >> >> > from
> >> >> > entry-point internalstream)
> >> >> > then
> >> >> > EventObject evt = new EventObject();
> >> >> > evt.setType('b');
> >> >> > evt.setUser($evt1.getUser());
> >> >> > evt.put('friendid', $evt2.getUser());
> >> >> > entryPoints['internalstream'].insert(evt);
> >> >> > end
> >> >> >
> >> >> > Is that behavior correct for such a size of event combinations
when
> >> >> using a
> >> >> > NOT in the rule?
> >> >> >
> >> >> > Thanks,
> >> >> > Svenja
> >> >> >
> >> >> _______________________________________________
> >> >> rules-users mailing list
> >> >> rules-users(a)lists.jboss.org
> >> >> https://lists.jboss.org/mailman/listinfo/rules-users
> >> >>
> >> >
> >> _______________________________________________
> >> rules-users mailing list
> >> rules-users(a)lists.jboss.org
> >> https://lists.jboss.org/mailman/listinfo/rules-users
> >>
> >
> _______________________________________________
> rules-users mailing list
> rules-users(a)lists.jboss.org
> https://lists.jboss.org/mailman/listinfo/rules-users
>
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Wolfgang Laun