Abstract: In an example embodiment performance is optimized in a complex event stream (CEP) system. Information about a plurality of CEP threads is obtained. Then nearness among the plurality of CEP threads is determined, wherein nearness between a first and a second CEP thread indicates how much interaction is expected to occur between the first and second CEP thread. Based on the determined nearness, the plurality of CEP threads are organized into a plurality of CEP thread groups. Then, each of the plurality of CEP thread groups are assigned to a different processing node, with each processing node having one or more processors and a memory.

Abstract: In an example embodiment performance is optimized in a complex event stream (CEP) system. Information about a plurality of CEP threads is obtained. Then nearness among the plurality of CEP threads is determined, wherein nearness between a first and a second CEP thread indicates how much interaction is expected to occur between the first and second CEP thread. Based on the determined nearness, the plurality of CEP threads are organized into a plurality of CEP thread groups. Then, each of the plurality of CEP thread groups are assigned to a different processing node, with each processing node having one or more processors and a memory.

Abstract: In an example embodiment, performance is optimized in a complex event stream (CEP) system. Information about a plurality of CEP threads is obtained. Then nearness among the plurality of CEP threads is determined, wherein nearness between a first and a second CEP thread indicates how much interaction is expected to occur between the first and second CEP thread. Based on the determined nearness, the plurality of CEP threads are organized into a plurality of CEP thread groups. Then, each of the plurality of CEP thread groups are assigned to a different processing node, with each processing node having one or more processors and a memory.

Abstract: In an example embodiment, a method for performing event stream processing is provided. An event stream is received, the event stream comprising a real time indication of one or more events occurring. Then it is determined that the event stream is identified in a streaming publish service inside a database. The event stream may then be inserted directly into one or more database tables in the database based on the determining.

Abstract: Methods, systems, computer program products, and articles of manufacture for processing events and managing a database, are described. The events may be processed and the database may be managed using the same administrative tools. A database operation is performed based on a database query statement being a database operation statement type and an event processing project is managed based on the database query statement being a non-database operation statement type.

Abstract: In an example embodiment, performance is optimized in a complex event stream (CEP) system. Information about a plurality of CEP threads is obtained. Then nearness among the plurality of CEP threads is determined, wherein nearness between a first and a second CEP thread indicates how much interaction is expected to occur between the first and second CEP thread. Based on the determined nearness, the plurality of CEP threads are organized into a plurality of CEP thread groups. Then, each of the plurality of CEP thread groups are assigned to a different processing node, with each processing node having one or more processors and a memory.

Abstract: In an example embodiment, a method for performing event stream processing is provided. An event stream is received, the event stream comprising a real time indication of one or more events occurring. Then it is determined that the event stream is identified in a streaming publish service inside a database. The event stream may then be inserted directly into one or more database tables in the database based on the determining.

Abstract: Disclosed herein are methods, systems, and computer readable storage media for performing load balancing actions in a complex event processing system. Static statistics of a complex event processing node, dynamic statistics of the complex event processing node, and project statistics for projects executing on the complex event processing node are aggregated. A determination is made as to whether the aggregated statistics satisfy a condition. A load balancing action may be performed, based on the determination.

Abstract: A system, method, and computer program product are provided for interfacing a user device to a transaction system. An interface is provided in order to call a function on the transaction system for performing the transaction.

Abstract: A system, method, and computer program product are provided for interfacing a user device to a transaction system. An interface is provided in order to call a function on the transaction system for performing the transaction.