Thank you very much, Dawid, for your thorough explanation, really useful. I
totally missed the distinction between timed-out events and complete
matches.
I'd like to ask you one more thing, about the flinkCEP scala api: in the
documentation, there is the following code:
val patternStream: PatternStream[Event] = CEP.pattern(input, pattern)
val outputTag = OutputTag[String]("side-output")
val result: SingleOutputStreamOperator[ComplexEvent] =
patternStream.select(outputTag){
(pattern: Map[String, Iterable[Event]], timestamp: Long) =>
TimeoutEvent()} {
pattern: Map[String, Iterable[Event]] => ComplexEvent()}
where result would then be used to get outputtag side output.
If I paste this code I get that the select function is missing its
parameters ("Unspecified value parameters: patternSelectFunction:
PatternSelectFunction[ComplexEvent, NotInferredR]""),
while, If I add the parameters explicitly such as
patternStream.select[TimeoutEvent, ComplexEvent]
I get "Too many arguments for select". Am I missing something?
Thank you very much,
Federico
2017-11-07 16:34 GMT+01:00 Dawid Wysakowicz <wysakowicz.da...@gmail.com>:
> Hi Federico,
>
> For your given input and pattern there should (and there are) only two
> timeouted patterns:
>
> 5> Left(Map(start -> List(Event(100,2017-11-05T03:56:02))))
> 5> Left(Map(start -> List(Event(100,2017-11-05T06:00:02))))
>
> It is because in your patterns say the next event after events with value
> >=100 should not have value >= 100 . And within your timeout there is no
> sequence of events where (>=100)+ (<100).
>
> But I will try to explain how it works with the same input for Pattern:
>
> Pattern[Event].begin("start").where(_.value >=100).oneOrMore
> .notNext("end").where(_.value <100).within(Time.minutes(30))
>
> Then we have matches:
>
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:50:02))))
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:50:02),
> Event(100,2017-11-05T03:52:02))))
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:52:02))))
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:50:02),
> Event(100,2017-11-05T03:52:02), Event(100,2017-11-05T03:54:02))))
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:52:02),
> Event(100,2017-11-05T03:54:02))))
> 5> Right(Map(start -> List(Event(100,2017-11-05T03:54:02))))
>
> and timeouted partial matches:
>
> 5> Left(Map(start -> List(Event(100,2017-11-05T03:50:02),
> Event(100,2017-11-05T03:52:02), Event(100,2017-11-05T03:54:02),
> Event(100,2017-11-05T03:56:02))))
> 5> Left(Map(start -> List(Event(100,2017-11-05T03:52:02),
> Event(100,2017-11-05T03:54:02), Event(100,2017-11-05T03:56:02))))
> 5> Left(Map(start -> List(Event(100,2017-11-05T03:54:02),
> Event(100,2017-11-05T03:56:02))))
> 5> Left(Map(start -> List(Event(100,2017-11-05T03:56:02))))
> 5> Left(Map(start -> List(Event(100,2017-11-05T06:00:02))))
>
> Right now (in flink 1.3.2) pattern can start on each event (in 1.4 you
> will be able to specify AFTER_MATCH_SKIP strategy see:
> https://issues.apache.org/jira/browse/FLINK-7169), therefore you see
> matches starting at 2017-11-05T03:50:02, 2017-11-05T03:52:02,
> 2017-11-05T03:54:02.
> Also right now the oneOrMore is not greedy (in 1.4 you will be able to
> alter it see: https://issues.apache.org/jira/browse/FLINK-7147),
> therefore you see matches like: List(Event(100,2017-11-05T03:50:02)) and
> List(Event(100,2017-11-05T03:50:02), Event(100,2017-11-05T03:52:02))
> rather than only one of those.
>
> The timeoute partial matches are returned because within the timeout there
> was no event with value <100 (in fact there was no event at all to be
> checked).
>
> Hope this "study" helps you understand the behaviour. If you feel I missed
> something, please provide some example I could reproduce.
>
> Regards,
> Dawid
>
> 2017-11-07 11:29 GMT+01:00 Ufuk Celebi <u...@apache.org>:
>
>> Hey Frederico,
>>
>> let me pull in Dawid (cc'd) who works on CEP. He can probably clarify
>> the expected behaviour here.
>>
>> Best,
>>
>> Ufuk
>>
>>
>> On Mon, Nov 6, 2017 at 12:06 PM, Federico D'Ambrosio
>> <federico.dambro...@smartlab.ws> wrote:
>> > Hi everyone,
>> >
>> > I wanted to ask if FlinkCEP in the following scenario is working as it
>> > should, or I have misunderstood its functioning.
>> >
>> > I've got a keyedstream associated with the following pattern:
>> >
>> > Pattern[Event].begin("start").where(_.value >=100).oneOrMore
>> > .notNext("end").where(_.value >=100).within(Time.minutes(30))
>> >
>> > Considering a single key in the stream, for simplicity, I've got the
>> > following sequence of events (using EventTime on the "time" field of the
>> > json event):
>> >
>> > {value: 100, time: "2017-11-05 03:50:02.000"}
>> > {value: 100, time: "2017-11-05 03:52:02.000"}
>> > {value: 100, time: "2017-11-05 03:54:02.000"}
>> > {value: 100, time: "2017-11-05 03:56:02.000"} // end of events within
>> the 30
>> > minutes from the first event
>> > {value: 100, time: "2017-11-05 06:00:02.000"}
>> >
>> > Now, when it comes to the select/flatselect function, I tried printing
>> the
>> > content of the pattern map and what I noticed is that, for example, the
>> > first 2 events weren't considered in the same pattern as the map was
>> like
>> > the following:
>> >
>> > {start=[{value: 100, time: 2017-11-05 03:50:02.000}]}
>> > {start=[{value: 100, time: 2017-11-05 03:52:02.000}]}
>> >
>> > Now, shouldn't they be in the same List, as they belong to the same
>> > iterative pattern, defined with the oneOrMore clause?
>> >
>> > Thank you for your insight,
>> > Federico D'Ambrosio
>>
>
>
--
Federico D'Ambrosio
