Abstract: Aspects of the subject matter described herein relate to stream operators. In aspects, a stream event is received. Based on a timestamp associated with the stream event and the number of stream operators that have asked to be activated prior to or at the timestamp, zero or more stream objects are informed of one or more time events and torn down if no longer needed. In addition, a destination stream operator is instantiated, if needed, data (e.g., the timestamp and packet, if any) corresponding to the stream event is provided to a stream operator, output data, if any, is received from the stream operator, and the stream operator is torn down if it no longer needs state data between invocations.

Abstract: Methods, systems, and computer-readable media are disclosed for implementing adapters for event processing systems. A particular system includes an input adapter configured to store event objects received from a source at an input queue. The system also includes a query engine configured to remove event objects from the input queue, to perform a query with respect to the removed event objects to generate result objects, and to insert result objects into an output queue. The system also includes an output adapter configured to remove result objects from the output queue and to transmit the result objects to a sink.

Abstract: An extensibility framework that allows a user to write user-defined modules that include user-defined operators (UDO) and user-defined aggregators (UDA) in a non-temporal fashion without the need to worry about temporal attributes of events (or event types). The temporal domain is managed on behalf of the user, and allows the user to write operators and aggregates in the temporal data streaming domain as well as to port existing libraries of non-temporal UDOs/UDAs to the temporal data streaming domain. Temporal attributes and event types are managed for non-temporal UDOs/UDAs by the extensibility framework on behalf of the UDO/UDA writer. Windows can be employed to bridge the gap between the non-temporal domains and temporal domains. Support for complex event processing (CEP) is provided in UDOs/UDAs for base classes related to a CEP operator, CEP aggregate, CEP time sensitive operator, and CEP time sensitive aggregate.

Abstract: The claimed subject matter provides a method for processing a stream of events. The method includes receiving a stream of events at a local device. The stream of events is associated with the local device. Further, the stream of events includes one or more out-of-order events. The method also includes executing a first complex event processing query against the stream of events. The stream of events is processed based on multiple levels of consistency defined by a set of operators. Additionally, the method includes correcting the out-of-order events based on the set of operators. A first output is generated in which consistency is guaranteed based on the corrected out-of-order events. The method also includes sending the first output to a server that performs complex event processing on the output.

Abstract: Aspects of the subject matter described herein relate to stream operators. In aspects, a stream event is received. Based on a timestamp associated with the stream event and the number of stream operators that have asked to be activated prior to or at the timestamp, zero or more stream objects are informed of one or more time events and torn down if no longer needed. In addition, a destination stream operator is instantiated, if needed, data (e.g., the timestamp and packet, if any) corresponding to the stream event is provided to a stream operator, output data, if any, is received from the stream operator, and the stream operator is torn down if it no longer needs state data between invocations.

Abstract: Methods, systems, and computer-readable media are disclosed for partitioned query execution in event processing systems. A particular method includes receiving a plurality of events via an input stream. The plurality of events is partitioned into one or more groups, and a query application module is instantiated for each of the one or more groups based on a compiled query application plan. Each particular query application module for a particular group is configured to apply a query to events of the particular group to generate partial results. The method includes merging the partial results of each of the query application modules to generate merged output results and providing the output results to an output stream.

Abstract: Methods, systems, and computer-readable media are disclosed for implementing adapters for event processing systems. A particular system includes an input adapter configured to store event objects received from a source at an input queue. The system also includes a query engine configured to remove event objects from the input queue, to perform a query with respect to the removed event objects to generate result objects, and to insert result objects into an output queue. The system also includes an output adapter configured to remove result objects from the output queue and to transmit the result objects to a sink.

Abstract: Methods, systems, and computer-readable media are disclosed for implementing adapters for event processing systems. A particular system includes an input adapter configured to store event objects received from a source at an input queue. The system also includes a query engine configured to remove event objects from the input queue, to perform a query with respect to the removed event objects to generate result objects, and to insert result objects into an output queue. The system also includes an output adapter configured to remove result objects from the output queue and to transmit the result objects to a sink.

Abstract: An extensibility framework that allows a user to write user-defined modules that include user-defined operators (UDO) and user-defined aggregators (UDA) in a non-temporal fashion without the need to worry about temporal attributes of events (or event types). The temporal domain is managed on behalf of the user, and allows the user to write operators and aggregates in the temporal data streaming domain as well as to port existing libraries of non-temporal UDOs/UDAs to the temporal data streaming domain. Temporal attributes and event types are managed for non-temporal UDOs/UDAs by the extensibility framework on behalf of the UDO/UDA writer. Windows can be employed to bridge the gap between the non-temporal domains and temporal domains. Support for complex event processing (CEP) is provided in UDOs/UDAs for base classes related to a CEP operator, CEP aggregate, CEP time sensitive operator, and CEP time sensitive aggregate.

Abstract: Methods, systems, and computer-readable media are disclosed for implementing adapters for event processing systems. A particular system includes an input adapter configured to store event objects received from a source at an input queue. The system also includes a query engine configured to remove event objects from the input queue, to perform a query with respect to the removed event objects to generate result objects, and to insert result objects into an output queue. The system also includes an output adapter configured to remove result objects from the output queue and to transmit the result objects to a sink.

Abstract: Methods, systems, and computer-readable media are disclosed for partitioned query execution in event processing systems. A particular method includes receiving a plurality of events via an input stream. The plurality of events is partitioned into one or more groups, and a query application module is instantiated for each of the one or more groups based on a compiled query application plan. Each particular query application module for a particular group is configured to apply a query to events of the particular group to generate partial results. The method includes merging the partial results of each of the query application modules to generate merged output results and providing the output results to an output stream.