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Re: more complex patterns for CEP (was: CEP two transitions to the same state)

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lgfmt@yahoo.com
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Re: more complex patterns for CEP (was: CEP two transitions to the same state)

lgfmt@yahoo.com
hi Till,

Thanks for the detailed response.

I'm looking forward to seeing these features implemented in Flink. Can anyone provide timelines for the 3 tickets that you mentioned in your response?
 
 
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]
Sent: Tuesday, September 20, 2016 7:13 AM
Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Hi Frank,

thanks for sharing your analysis. It indeed pinpoints some of the current CEP library's shortcomings.

Let me address your points:

1. Lack of not operator

The functionality to express events which must not occur in a pattern is missing. We've currently a JIRA [1] which addresses exactly this. For the notFollowedBy operator, we should discard all patterns where we've seen a matching event for the not state. I think it could be implemented like a special terminal state where we prune the partial pattern.

For the notNext operator, we could think about keeping the event which has not matched the notNext state and return it as part of the fully matched pattern. Alternatively, we could simply forget about it once we've assured that it does not match.

2. Allow functions to access fields of previous events

This hasn't been implemented yet because it is a quite expensive operation. Before calling the filter function you always have to reconstruct the current partial pattern and then give it to the filter function. But I agree that the user should be allowed to use such a functionality (and then pay the price for it in terms of efficiency). Giving access to the partially matched fields via a Map would be a way to solve the problem on the API level.

I think that almost all functionality for this feature is already in place. We simply would have to check the filter condition whether they require access to previous events and then compute the partial pattern.

3. Support for recursive patterns

The underlying SharedBuffer implementation should allow recursive event patterns. Once we have support for branching CEP patterns [2] which allow to connect different states this should also be possible with some minor changes.

However, a more interesting way to specify recursive CEP patterns is to use regular expression syntax (Kleene star, bounded occurrences) to express recursive parts of a pattern. I think this makes specifying such a pattern easier and more intuitive for the user. We've also a JIRA issue to track the process there [3] and Ivan is already working on this.

If you want to get involved in Flink's CEP development, then feel free to take over any free JIRA issue or create one yourself :-)


Cheers,
Till

On Fri, Sep 16, 2016 at 10:04 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

i did some more analysis wrt the problem i'm facing and the flink CEP api.

In order to complete the problem i'm facing using flink CEP i would need 3 additions to the API (i think). I tried to understand the NFA logic, and i think 2 of them should be doable without fundamental changes.

First is to add a "negative" pattern (notFollowedBy / notNext):

Reason is the flow below: i have a start and a termination event, and an optional "failure" event in between. i want all succesful termination events, so i want to express there should not be a failure event between the start and the termination event. Note that there is no "success" event in this case on which i could match.

Inline image 1

To implement, upon checking whether a transition would be possible, one would first need to check if it was not already dead-ended by a notFollowedBy / notNext. This would add a bit of complexity to the logic (when seeing if a transition is valid for a state, first check if on this state there was not already a match made to an notFollowedBy/notNext state. in that case one would reject the match)

Second is to allow the filterfunction to inspect the partial match made, so one would be able to filter based on the already-matched event. Reason is the following (hypothetical) example where we would match arrivals of a trains in a station. We cannot keyBy train (because the "occupied" events of the station don't have train information), neither can we keyBy station (as the start of the sequence is outside the station), so we need to add an additional condition for the second event: the train number must equal the train number of the first one. And in the third event, the station number should equal the station number of the second one.

I think this could be accomplished by overloading the where function with a second filterfunction variant that takes 2 parameters: the event considered + the partial match (as a Map<String,T> with T the class of the event)

Inline image 2

Third one is - i think - more difficult to accomplish, and that's more complex graphs i asked in my original e-mail (eg two states having 2 transitions ending in the same state). 
The problem here is that it allows one to construct cyclic states, and the PatternStream takes a Map<String,T> as input, which cannot express a state occuring twice, neither the order (which event was the first and which event was the second). In the problem i'm trying to solve cyclic states are not necessary, but i can imagine usecases exist.

Inline image 3
I think the NFA implementation would already allow such scenario's but the nfacompiler and the CEP api would need changing.

I wonder if the problem i'm facing is exotic (so a custom CEP would be more logic) or it is just something that should be implemented in the flink CEP. I'm relatively new to CEP, so i cannot compare which other systems/implementations. I'd like to try implementing the changes myself (at least the first two) after taking some advice here ...

thanks!
greetings,
Frank






On Wed, Sep 14, 2016 at 5:22 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

I'm trying to model a FSM using the flink CEP patterns. However, there is something i can't figure out as all the documentation examples are linear (either you go to the single possible next state, either no match).

Suppose that two transitions lead from one state to two different states. I guess this is doable by just defining multiple followedBy/next on the same state.

But what about two different states that can end up in the same state (in the order / delivery example: suppose there are two different delivery methods, having a separate starting state but resulting in the same end state). It is possible to deduplicate the "delivered" state but this would lead to difficult to manage patterns when things get more complex.

Thanks!
greetings,
Frank
Till Rohrmann
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Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Till Rohrmann
The timeline is hard to predict to be honest. It depends a little bit on how fast the community can proceed with these things. At the moment I'm personally involved in other issues and, thus, cannot work on the CEP library. I hope to get back to it soon.

Cheers,
Till

On Sat, Oct 8, 2016 at 12:42 AM, <[hidden email]> wrote:
hi Till,

Thanks for the detailed response.

I'm looking forward to seeing these features implemented in Flink. Can anyone provide timelines for the 3 tickets that you mentioned in your response?
 
 
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]
Sent: Tuesday, September 20, 2016 7:13 AM
Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Hi Frank,

thanks for sharing your analysis. It indeed pinpoints some of the current CEP library's shortcomings.

Let me address your points:

1. Lack of not operator

The functionality to express events which must not occur in a pattern is missing. We've currently a JIRA [1] which addresses exactly this. For the notFollowedBy operator, we should discard all patterns where we've seen a matching event for the not state. I think it could be implemented like a special terminal state where we prune the partial pattern.

For the notNext operator, we could think about keeping the event which has not matched the notNext state and return it as part of the fully matched pattern. Alternatively, we could simply forget about it once we've assured that it does not match.

2. Allow functions to access fields of previous events

This hasn't been implemented yet because it is a quite expensive operation. Before calling the filter function you always have to reconstruct the current partial pattern and then give it to the filter function. But I agree that the user should be allowed to use such a functionality (and then pay the price for it in terms of efficiency). Giving access to the partially matched fields via a Map would be a way to solve the problem on the API level.

I think that almost all functionality for this feature is already in place. We simply would have to check the filter condition whether they require access to previous events and then compute the partial pattern.

3. Support for recursive patterns

The underlying SharedBuffer implementation should allow recursive event patterns. Once we have support for branching CEP patterns [2] which allow to connect different states this should also be possible with some minor changes.

However, a more interesting way to specify recursive CEP patterns is to use regular expression syntax (Kleene star, bounded occurrences) to express recursive parts of a pattern. I think this makes specifying such a pattern easier and more intuitive for the user. We've also a JIRA issue to track the process there [3] and Ivan is already working on this.

If you want to get involved in Flink's CEP development, then feel free to take over any free JIRA issue or create one yourself :-)


Cheers,
Till

On Fri, Sep 16, 2016 at 10:04 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

i did some more analysis wrt the problem i'm facing and the flink CEP api.

In order to complete the problem i'm facing using flink CEP i would need 3 additions to the API (i think). I tried to understand the NFA logic, and i think 2 of them should be doable without fundamental changes.

First is to add a "negative" pattern (notFollowedBy / notNext):

Reason is the flow below: i have a start and a termination event, and an optional "failure" event in between. i want all succesful termination events, so i want to express there should not be a failure event between the start and the termination event. Note that there is no "success" event in this case on which i could match.

Inline image 1

To implement, upon checking whether a transition would be possible, one would first need to check if it was not already dead-ended by a notFollowedBy / notNext. This would add a bit of complexity to the logic (when seeing if a transition is valid for a state, first check if on this state there was not already a match made to an notFollowedBy/notNext state. in that case one would reject the match)

Second is to allow the filterfunction to inspect the partial match made, so one would be able to filter based on the already-matched event. Reason is the following (hypothetical) example where we would match arrivals of a trains in a station. We cannot keyBy train (because the "occupied" events of the station don't have train information), neither can we keyBy station (as the start of the sequence is outside the station), so we need to add an additional condition for the second event: the train number must equal the train number of the first one. And in the third event, the station number should equal the station number of the second one.

I think this could be accomplished by overloading the where function with a second filterfunction variant that takes 2 parameters: the event considered + the partial match (as a Map<String,T> with T the class of the event)

Inline image 2

Third one is - i think - more difficult to accomplish, and that's more complex graphs i asked in my original e-mail (eg two states having 2 transitions ending in the same state). 
The problem here is that it allows one to construct cyclic states, and the PatternStream takes a Map<String,T> as input, which cannot express a state occuring twice, neither the order (which event was the first and which event was the second). In the problem i'm trying to solve cyclic states are not necessary, but i can imagine usecases exist.

Inline image 3
I think the NFA implementation would already allow such scenario's but the nfacompiler and the CEP api would need changing.

I wonder if the problem i'm facing is exotic (so a custom CEP would be more logic) or it is just something that should be implemented in the flink CEP. I'm relatively new to CEP, so i cannot compare which other systems/implementations. I'd like to try implementing the changes myself (at least the first two) after taking some advice here ...

thanks!
greetings,
Frank






On Wed, Sep 14, 2016 at 5:22 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

I'm trying to model a FSM using the flink CEP patterns. However, there is something i can't figure out as all the documentation examples are linear (either you go to the single possible next state, either no match).

Suppose that two transitions lead from one state to two different states. I guess this is doable by just defining multiple followedBy/next on the same state.

But what about two different states that can end up in the same state (in the order / delivery example: suppose there are two different delivery methods, having a separate starting state but resulting in the same end state). It is possible to deduplicate the "delivered" state but this would lead to difficult to manage patterns when things get more complex.

Thanks!
greetings,
Frank
lgfmt@yahoo.com
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Re: more complex patterns for CEP (was: CEP two transitions to the same state)

lgfmt@yahoo.com
Thanks, Till. I will wait for your response.
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]; [hidden email]
Sent: Tuesday, October 11, 2016 2:49 AM
Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

The timeline is hard to predict to be honest. It depends a little bit on how fast the community can proceed with these things. At the moment I'm personally involved in other issues and, thus, cannot work on the CEP library. I hope to get back to it soon.

Cheers,
Till

On Sat, Oct 8, 2016 at 12:42 AM, <[hidden email]> wrote:
hi Till,

Thanks for the detailed response.

I'm looking forward to seeing these features implemented in Flink. Can anyone provide timelines for the 3 tickets that you mentioned in your response?
 
 
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]
Sent: Tuesday, September 20, 2016 7:13 AM
Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Hi Frank,

thanks for sharing your analysis. It indeed pinpoints some of the current CEP library's shortcomings.

Let me address your points:

1. Lack of not operator

The functionality to express events which must not occur in a pattern is missing. We've currently a JIRA [1] which addresses exactly this. For the notFollowedBy operator, we should discard all patterns where we've seen a matching event for the not state. I think it could be implemented like a special terminal state where we prune the partial pattern.

For the notNext operator, we could think about keeping the event which has not matched the notNext state and return it as part of the fully matched pattern. Alternatively, we could simply forget about it once we've assured that it does not match.

2. Allow functions to access fields of previous events

This hasn't been implemented yet because it is a quite expensive operation. Before calling the filter function you always have to reconstruct the current partial pattern and then give it to the filter function. But I agree that the user should be allowed to use such a functionality (and then pay the price for it in terms of efficiency). Giving access to the partially matched fields via a Map would be a way to solve the problem on the API level.

I think that almost all functionality for this feature is already in place. We simply would have to check the filter condition whether they require access to previous events and then compute the partial pattern.

3. Support for recursive patterns

The underlying SharedBuffer implementation should allow recursive event patterns. Once we have support for branching CEP patterns [2] which allow to connect different states this should also be possible with some minor changes.

However, a more interesting way to specify recursive CEP patterns is to use regular expression syntax (Kleene star, bounded occurrences) to express recursive parts of a pattern. I think this makes specifying such a pattern easier and more intuitive for the user. We've also a JIRA issue to track the process there [3] and Ivan is already working on this.

If you want to get involved in Flink's CEP development, then feel free to take over any free JIRA issue or create one yourself :-)


Cheers,
Till

On Fri, Sep 16, 2016 at 10:04 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

i did some more analysis wrt the problem i'm facing and the flink CEP api.

In order to complete the problem i'm facing using flink CEP i would need 3 additions to the API (i think). I tried to understand the NFA logic, and i think 2 of them should be doable without fundamental changes.

First is to add a "negative" pattern (notFollowedBy / notNext):

Reason is the flow below: i have a start and a termination event, and an optional "failure" event in between. i want all succesful termination events, so i want to express there should not be a failure event between the start and the termination event. Note that there is no "success" event in this case on which i could match.

Inline image 1

To implement, upon checking whether a transition would be possible, one would first need to check if it was not already dead-ended by a notFollowedBy / notNext. This would add a bit of complexity to the logic (when seeing if a transition is valid for a state, first check if on this state there was not already a match made to an notFollowedBy/notNext state. in that case one would reject the match)

Second is to allow the filterfunction to inspect the partial match made, so one would be able to filter based on the already-matched event. Reason is the following (hypothetical) example where we would match arrivals of a trains in a station. We cannot keyBy train (because the "occupied" events of the station don't have train information), neither can we keyBy station (as the start of the sequence is outside the station), so we need to add an additional condition for the second event: the train number must equal the train number of the first one. And in the third event, the station number should equal the station number of the second one.

I think this could be accomplished by overloading the where function with a second filterfunction variant that takes 2 parameters: the event considered + the partial match (as a Map<String,T> with T the class of the event)

Inline image 2

Third one is - i think - more difficult to accomplish, and that's more complex graphs i asked in my original e-mail (eg two states having 2 transitions ending in the same state). 
The problem here is that it allows one to construct cyclic states, and the PatternStream takes a Map<String,T> as input, which cannot express a state occuring twice, neither the order (which event was the first and which event was the second). In the problem i'm trying to solve cyclic states are not necessary, but i can imagine usecases exist.

Inline image 3
I think the NFA implementation would already allow such scenario's but the nfacompiler and the CEP api would need changing.

I wonder if the problem i'm facing is exotic (so a custom CEP would be more logic) or it is just something that should be implemented in the flink CEP. I'm relatively new to CEP, so i cannot compare which other systems/implementations. I'd like to try implementing the changes myself (at least the first two) after taking some advice here ...

thanks!
greetings,
Frank






On Wed, Sep 14, 2016 at 5:22 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

I'm trying to model a FSM using the flink CEP patterns. However, there is something i can't figure out as all the documentation examples are linear (either you go to the single possible next state, either no match).

Suppose that two transitions lead from one state to two different states. I guess this is doable by just defining multiple followedBy/next on the same state.

But what about two different states that can end up in the same state (in the order / delivery example: suppose there are two different delivery methods, having a separate starting state but resulting in the same end state). It is possible to deduplicate the "delivered" state but this would lead to difficult to manage patterns when things get more complex.

Thanks!
greetings,
Frank
Dima Arbuzin
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Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Dima Arbuzin
Hey there,

I was investigating CEP functionality and realized that I'm missing some, which are discussed here, especially: accessing fields from previous events.  

Any progress regarding this question? 

I'm working with streaming car location data trying to analyze different traffic patterns. 
Consider the following use-case:   
1) detect a traffic jam (cluster) at one spot (event) and then  
2) detect another traffic jam (another cluster) later (another event). The question would be: did they move in space?

So is there is a way to compare these two clusters using CEP? I guess customizing equals() function would help to some extend, but then what if I want to compare some extra fields like location?      

How hard is it to overload Filter Function storing previously triggered Event information? 

P.S.  Performance is not that critical in this case.  

On Tue, Oct 11, 2016 at 5:39 PM, <[hidden email]> wrote:
Thanks, Till. I will wait for your response.
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]; [hidden email]
Sent: Tuesday, October 11, 2016 2:49 AM

Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

The timeline is hard to predict to be honest. It depends a little bit on how fast the community can proceed with these things. At the moment I'm personally involved in other issues and, thus, cannot work on the CEP library. I hope to get back to it soon.

Cheers,
Till

On Sat, Oct 8, 2016 at 12:42 AM, <[hidden email]> wrote:
hi Till,

Thanks for the detailed response.

I'm looking forward to seeing these features implemented in Flink. Can anyone provide timelines for the 3 tickets that you mentioned in your response?
 
 
- LF




From: Till Rohrmann <[hidden email]>
To: [hidden email]
Sent: Tuesday, September 20, 2016 7:13 AM
Subject: Re: more complex patterns for CEP (was: CEP two transitions to the same state)

Hi Frank,

thanks for sharing your analysis. It indeed pinpoints some of the current CEP library's shortcomings.

Let me address your points:

1. Lack of not operator

The functionality to express events which must not occur in a pattern is missing. We've currently a JIRA [1] which addresses exactly this. For the notFollowedBy operator, we should discard all patterns where we've seen a matching event for the not state. I think it could be implemented like a special terminal state where we prune the partial pattern.

For the notNext operator, we could think about keeping the event which has not matched the notNext state and return it as part of the fully matched pattern. Alternatively, we could simply forget about it once we've assured that it does not match.

2. Allow functions to access fields of previous events

This hasn't been implemented yet because it is a quite expensive operation. Before calling the filter function you always have to reconstruct the current partial pattern and then give it to the filter function. But I agree that the user should be allowed to use such a functionality (and then pay the price for it in terms of efficiency). Giving access to the partially matched fields via a Map would be a way to solve the problem on the API level.

I think that almost all functionality for this feature is already in place. We simply would have to check the filter condition whether they require access to previous events and then compute the partial pattern.

3. Support for recursive patterns

The underlying SharedBuffer implementation should allow recursive event patterns. Once we have support for branching CEP patterns [2] which allow to connect different states this should also be possible with some minor changes.

However, a more interesting way to specify recursive CEP patterns is to use regular expression syntax (Kleene star, bounded occurrences) to express recursive parts of a pattern. I think this makes specifying such a pattern easier and more intuitive for the user. We've also a JIRA issue to track the process there [3] and Ivan is already working on this.

If you want to get involved in Flink's CEP development, then feel free to take over any free JIRA issue or create one yourself :-)


Cheers,
Till

On Fri, Sep 16, 2016 at 10:04 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

i did some more analysis wrt the problem i'm facing and the flink CEP api.

In order to complete the problem i'm facing using flink CEP i would need 3 additions to the API (i think). I tried to understand the NFA logic, and i think 2 of them should be doable without fundamental changes.

First is to add a "negative" pattern (notFollowedBy / notNext):

Reason is the flow below: i have a start and a termination event, and an optional "failure" event in between. i want all succesful termination events, so i want to express there should not be a failure event between the start and the termination event. Note that there is no "success" event in this case on which i could match.

Inline image 1

To implement, upon checking whether a transition would be possible, one would first need to check if it was not already dead-ended by a notFollowedBy / notNext. This would add a bit of complexity to the logic (when seeing if a transition is valid for a state, first check if on this state there was not already a match made to an notFollowedBy/notNext state. in that case one would reject the match)

Second is to allow the filterfunction to inspect the partial match made, so one would be able to filter based on the already-matched event. Reason is the following (hypothetical) example where we would match arrivals of a trains in a station. We cannot keyBy train (because the "occupied" events of the station don't have train information), neither can we keyBy station (as the start of the sequence is outside the station), so we need to add an additional condition for the second event: the train number must equal the train number of the first one. And in the third event, the station number should equal the station number of the second one.

I think this could be accomplished by overloading the where function with a second filterfunction variant that takes 2 parameters: the event considered + the partial match (as a Map<String,T> with T the class of the event)

Inline image 2

Third one is - i think - more difficult to accomplish, and that's more complex graphs i asked in my original e-mail (eg two states having 2 transitions ending in the same state). 
The problem here is that it allows one to construct cyclic states, and the PatternStream takes a Map<String,T> as input, which cannot express a state occuring twice, neither the order (which event was the first and which event was the second). In the problem i'm trying to solve cyclic states are not necessary, but i can imagine usecases exist.

Inline image 3
I think the NFA implementation would already allow such scenario's but the nfacompiler and the CEP api would need changing.

I wonder if the problem i'm facing is exotic (so a custom CEP would be more logic) or it is just something that should be implemented in the flink CEP. I'm relatively new to CEP, so i cannot compare which other systems/implementations. I'd like to try implementing the changes myself (at least the first two) after taking some advice here ...

thanks!
greetings,
Frank






On Wed, Sep 14, 2016 at 5:22 PM, Frank Dekervel <[hidden email]> wrote:
Hello,

I'm trying to model a FSM using the flink CEP patterns. However, there is something i can't figure out as all the documentation examples are linear (either you go to the single possible next state, either no match).

Suppose that two transitions lead from one state to two different states. I guess this is doable by just defining multiple followedBy/next on the same state.

But what about two different states that can end up in the same state (in the order / delivery example: suppose there are two different delivery methods, having a separate starting state but resulting in the same end state). It is possible to deduplicate the "delivered" state but this would lead to difficult to manage patterns when things get more complex.

Thanks!
greetings,
Frank













--
Best regards,
Dima Arbuzin
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