Abstract: A framework for extending the capabilities of an event processing system using one or more plug-in components referred to herein as data cartridges. In one set of embodiments, the data cartridge framework described herein can enable an event processing system to support one or more extension languages that are distinct from the native event processing language supported by the system. For example, certain “extension language” data cartridges can be provided that enable an event processing system to support complex data types and associated methods/operations that are common in object-oriented languages, but are not common in event processing languages. In these embodiments, an event processing system can access an extension language data cartridge to compile and execute queries that are written using a combination of the system's native event processing language and the extension language.

Abstract: The concept of faults and fault handling are added to the execution of continuous event processing (CEP) queries. By introducing fault handling techniques to the processing of CEP queries, users are enabled to instruct a CEP query processor to respond to faults in a customized manner that does not necessarily involve the halting of the CEP query relative to which the faults occurred. For example, a fault might be due to a temporary problem. Under such circumstances, the CEP query processor can be instructed to ignore the fault and allow the execution of the CEP query to continue relative to the remainder of the event stream. Alternatively, if the fault is due to a problem with the CEP query itself, then the CEP query processor can be instructed to propagate the fault through the query processing system until the fault ultimately causes the problematic CEP query to be halted.

Abstract: Techniques for loading Java classes referenced in a continuous query. In one set of embodiments, the Java classes can be loaded based on a class space defined for an application considered to be in scope for the query. In another set of embodiments, the Java classes can be loaded based on a server class space that includes all exported classes visible to the event processing system executing the query.

Abstract: The concept of faults and fault handling are added to the execution of continuous event processing (CEP) queries. By introducing fault handling techniques to the processing of CEP queries, users are enabled to instruct a CEP query processor to respond to faults in a customized manner that does not necessarily involve the halting of the CEP query relative to which the faults occurred. For example, a fault might be due to a temporary problem. Under such circumstances, the CEP query processor can be instructed to ignore the fault and allow the execution of the CEP query to continue relative to the remainder of the event stream. Alternatively, if the fault is due to a problem with the CEP query itself, then the CEP query processor can be instructed to propagate the fault through the query processing system until the fault ultimately causes the problematic CEP query to be halted.

Abstract: A continuous event processing (CEP) query processor determines how and when a CEP query can be processed in a concurrent manner, such that multiple threads of execution can concurrently perform at least some of the CEP query's operations concurrently with each other. According to one technique, a user can instruct a CEP query processor to attempt to execute a CEP query in a concurrent manner. The CEP query processor responsively determines whether the CEP query's execution, or parts thereof, can be made concurrent based on certain constraints that can depend on inheritance and operation type. Based on this determination, the CEP query processor can execute at least certain parts of a CEP query in parallel relative to the same event within an event stream.

Abstract: Large quantities of data can be processed and/or queried relatively quickly using a combination of continuous event processing and a Map-Reduce algorithmic tool. The continuous event processor can continuously produce real-time results by merging (a) CQL query results from events received since a currently executing Map-Reduce job was started with (b) a most recent query result produced by a most recently completed Map-Reduce job. When the currently executing Map-Reduce job completes, its query result can be stored and made accessible to the continuous event processor, and a new Map-Reduce job can be started relative to event data that has grown in size since the execution of the last Map-Reduce job. The Map-Reduce algorithmic tool provides a convenient mechanism for analyzing and processing large quantities of data.

Abstract: A Realtime Event Server comprising a component to operate on data from data streams; and a configuration system adapted to supply configuration for the realtime event server, the configuration including dynamic configuration, the dynamic configuration being changeable without restarting the component.

Abstract: The present invention includes a method for providing parameterized queries in complex event processing (CEP). The method includes providing a query template which includes one or more bind variables, providing sets of parameters corresponding to the one or more bind variables, and parsing the query template to determine positions of the one or more bind variables. The method further includes scanning the provided sets of parameters to determine which of the sets of parameters are to be bound to the one or more bind variables, binding the one or more bind variables which are determined to be bound to the sets of parameters, and substituting the bound one or more bind variables with the corresponding sets of parameters. The method further includes injecting all incarnations of the parameterized queries into the system, and one template/parameterized query is configured to run them all.

Abstract: The present invention includes a method for providing parameterized queries in complex event processing (CEP). The method includes providing a query template which includes one or more bind variables, providing sets of parameters corresponding to the one or more bind variables, and parsing the query template to determine positions of the one or more bind variables. The method further includes scanning the provided sets of parameters to determine which of the sets of parameters are to be bound to the one or more bind variables, binding the one or more bind variables which are determined to be bound to the sets of parameters, and substituting the bound one or more bind variables with the corresponding sets of parameters. The method further includes injecting all incarnations of the parameterized queries into the system, and one template/parameterized query is configured to run them all.

Abstract: An event server running an event driven application implementing an event processing network. The event processing network can include at least one processor to implement a rule on at least one input stream. The event processing network can define concurrent operation of at least two components of the event processing networks.

Abstract: A system and method can support a compensation work. The system includes one or more compensation functions that use a process state to realize the compensation work associated with a forward work, wherein the compensation work is executed at a different runtime from an execution time of the forward work, and wherein the process state contains data needed to execute the compensation work. The system also includes a process execution engine that can dynamically manage process state to make the state available to the compensation functions. The process state is retrieved based on a closure data structure that holds an expression and an environment of variable bindings, in which the expression is to be evaluated.

Abstract: A framework for extending the capabilities of an event processing system using one or more plug-in components referred to herein as data cartridges. Generally speaking, a data cartridge is a self-contained unit of data that can be registered with an event processing system and can store information pertaining to one or more objects (referred to herein as extensible objects) that are not natively supported by the system. Examples of such extensible objects can include data types, functions, indexes, data sources, and others. By interacting with a data cartridge, an event processing system can compile and execute queries that reference extensible objects defined in the data cartridge, thereby extending the system beyond its native capabilities.

Abstract: The present invention includes a method for providing parameterized queries in complex event processing (CEP). The method includes providing a query template which includes one or more bind variables, providing sets of parameters corresponding to the one or more bind variables, and parsing the query template to determine positions of the one or more bind variables. The method further includes scanning the provided sets of parameters to determine which of the sets of parameters are to be bound to the one or more bind variables, binding the one or more bind variables which are determined to be bound to the sets of parameters, and substituting the bound one or more bind variables with the corresponding sets of parameters. The method further includes injecting all incarnations of the parameterized queries into the system, and one template/parameterized query is configured to run them all.

Abstract: An event processor can use event processing queries to operate an event. Event processing queries can include a “retain” clause that limits the amount of data over which the query is run.

Abstract: A system and method can support a compensation work. The system includes one or more compensation functions that use a process state to realize the compensation work associated with a forward work, wherein the compensation work is executed at a different runtime from an execution time of the forward work, and wherein the process state contains data needed to execute the compensation work. The system also includes a process execution engine that can dynamically manage process state to make the state available to the compensation functions. The process state is retrieved based on a closure data structure that holds an expression and an environment of variable bindings, in which the expression is to be evaluated.

Abstract: A method for supporting compensation work comprises the steps of associating a data structure with a compensation function, and associating the data structure with the at least one event that can be encountered during execution of a forward work. The data structure contains a pair of pointers, which includes a first pointer to a code to be executed for the compensation function, and a second pointer to a stack frame of a closest lexically enclosing scope of a declaration of the compensation function in a computer program text.

Abstract: Techniques for loading Java classes referenced in a continuous query. In one set of embodiments, the Java classes can be loaded based on a class space defined for an application considered to be in scope for the query. In another set of embodiments, the Java classes can be loaded based on a server class space that includes all exported classes visible to the event processing system executing the query.

Abstract: A framework or infrastructure (extensibility framework/infrastructure) for extending the indexing capabilities of an event processing system. The capabilities of an event processing system may be extended to support indexing schemes, including related data types and operations, which are not natively supported by the event processing system. The extensibility is enabled by one or more plug-in extension components called data cartridges.

Abstract: A framework for extending the capabilities of an event processing system using one or more plug-in components referred to herein as data cartridges. Generally speaking, a data cartridge is a self-contained unit of data that can be registered with an event processing system and can store information pertaining to one or more objects (referred to herein as extensible objects) that are not natively supported by the system. Examples of such extensible objects can include data types, functions, indexes, data sources, and others. By interacting with a data cartridge, an event processing system can compile and execute queries that reference extensible objects defined in the data cartridge, thereby extending the system beyond its native capabilities.

Abstract: Techniques for extending the capabilities of an event processing system to support the processing of spatial data. In one set of embodiments, this extensibility can be provided via a plug-in extension component referred to herein as a spatial data cartridge. The spatial data cartridge can enable the event processing system to support spatial data types (e.g., point, polygon, etc.) and various operations related to such data types (e.g., proximity determinations, overlap determinations, etc.). The spatial data cartridge can also define an indexing scheme that can be integrated with the capabilities of the event processing system to support the indexing of spatial data. Using the spatial data cartridge, the event processing system can operate on spatial data even if spatial data formats are not natively supported by the system.