Oracle International Corporation

Kunal Mulay

Santosh Kumar

Hoyong Park

Prabhu Thukkaram

Sandeep Bishnoi

Jeffrey Toillion

Pavan L Advani

Rahul Gupta

Yathish Gatty

Santosh Kumar Singh

Prithviraj Singh

An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a continuous query, apply a transformation to the continuous query to generate a query plan for the continuous query, transform the query plan using a transformation algorithm to generate a transformed query plan, receive a micro-batch stream of input events related to an application, process the input events of the micro-batch stream based at least in part on the transformed query plan to generate a set of output events related to the application, and store the set of output events related to the application in an output queue.

Complex event processing for micro-batch streaming

An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a continuous query, apply a transformation to the continuous query to generate a query plan for the continuous query, monitor the continuous query using a monitoring transformation process, receive a micro-batch stream of input events related to an application, and process the input events of the micro-batch stream based at least in part on the monitoring transformation process to generate a set of output events related to the application.

Non-intrusive monitoring output of stages in micro-batch streaming

An event processing system for processing events in an event stream is disclosed. The system can execute instructions to receive a micro-batch stream of input events, process the input events using the CQL engine to generate a set of output events, generate, using a snapshot management algorithm implemented by the CQL engine, a snapshot of a current state of a system based at least in part on the set of output events related to the application, generate a first directory structure to access snapshot information associated with the snapshot of the current state of the system, generate a second directory structure to generate a list of snapshots associated with the current state of the system, and determine based at least in part on the snapshot management algorithm, a process to get, add, or clean the list of snapshots associated with the current state of the system.

Managing snapshots and application state in micro-batch based event processing systems

An event processing system for distributing geospatial computations with geo-fences is disclosed. The system can partition and distribute geo-fences efficiently for parallel computation, and can track a potentially unlimited number of moving objects. A computing device determines a minimum bounding rectangle (MBR) covering a geographic area indexed by a geo-grid, and partitions the MBR and a set of geo-fences to a plurality of processing nodes. The computing device receives input events of a stream comprising locations within the geographic area. The device distributes the events to partitions on processing nodes, based at least on the events' locations. The device can determine a partition identifier corresponding to a respective location in constant time. The computing device then combines partition results to obtain a single geospatial computation result.

Scaling out moving objects for geo-fence proximity determination

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Madhya Pradesh, India

Kunal Mulay