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  1. Join

    follow steps 1-4. Join One of the most important operators to combine events from different streams is the join operator. To combine two elements from different streams, two conditions must hold: The time intervals must overlap The join predicate must evaluate to true Create a new PQL based script (join1.qry
    OdysseusJan 15, 2014
  2. Join operator

    Joins tuple from two input streams iff their timestamps are overlapping and if the optional predicate validates to true. Parameters predicate: The predicate … contains "==") Parameters for the element join elementsizeport0, elementsizeport1 (see below) group_by_port_0, group_by_port_1 (see below) keepEndTimestamp
    OdysseusNov 28, 2019
  3. Pattern 4: Joining Event Streams

    In a typical streaming scenario, the is often the need for merge information from different inputs. Odysseus provides the Join operator to do a join between different elements from different streams. It is important, that a join in our scenario is always a temporal joins, i.e. only if the validity of the incomming
    OdysseusNov 10, 2015
  4. Combine

    This operator works similar as a join with a one-to-one condition. It can be used in cases where the simple outputs of different sources need to be combined into one tuple, without having a join-condition. A typical scenario are different sensor values comming from different input operators that should be combined
    OdysseusJul 13, 2023
  5. Control Parallelismn

    ({SIZE = [10, 'MINUTES'], advance = [1, 'SECONDS'] }, auction) join = JOIN({PREDICATE = 'bid.bidder == auction.id'}, windowBid … '] }, bid) windowAuction = TIMEWINDOW({SIZE = [10, 'MINUTES'], advance = [1, 'SECONDS'] }, auction) join = JOIN({ID
    OdysseusJun 25, 2018
  6. Probabilistic Feature

    = ProbabilisticRelationalPredicate('x > 1.0 AND x < 4.0')}, input) Joining probabilistic values The join with a predicate based on probabilistic discrete values uses the same syntax as for deterministic values. Although it looks similar the result is different in the sense that the Join operator performs a join of the input
    OdysseusMar 20, 2014
  7. Out of order processing

    , e.g. the Join operator or Union operator, can process elements with less latency, as the elements need not wait until they are sure in order again.
    OdysseusOct 25, 2023
  8. LeftJoin operator

    Works basically as a normal Join operator with one exception: elements on the left input will be transfered even if there is no join partner. In this case the schema will be filled with null values. Parameter See Join operator. Example bidWnd = ELEMENTWINDOW({SIZE = 1}, bid) auctionWnd = ELEMENTWINDOW({SIZE = 1
    OdysseusOct 26, 2015
  9. Existence operator

    This operator tests an existence predicate and can be used with the type EXISTS (semi join) and NOT_EXISTS (anti semi join). The predicates can be evaluated against the element from the first input and the second input. Semi join: All elements in the first input for which there are elements in the second input
    OdysseusJan 16, 2014
  10. TimeInterval

    with a time interval that is the intersection of all involved events. The Join operator operator is a mixture of both ways of treatment. A JOIN merges two … are allowed to be joined and the time interval of the resulting event is the intersection of the time intervals of both events. Since the intersection operation
    OdysseusMay 07, 2015