Java Data Cartridge Loading for Event Processing Systems
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Solution Overview
Problem
Traditional event processing systems are limited in handling heterogeneous data streams from diverse sources, as they require extensive user-defined functions that are application-scoped and difficult to reuse, providing poor programming experiences and inadequate support for complex data types and operations.
Innovation Solution
The introduction of data cartridges as self-contained units that extend event processing systems by storing information on extensible objects, enabling support for extension languages like Java, allowing for the compilation and execution of queries that reference these objects, thereby enhancing the system's capabilities beyond native limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user-defined functions are used to extend event processing capabilities, then support for heterogeneous data types is improved, but device complexity and difficulty of reuse increase
Solution Approach 1:
The patent segments the extension functionality into separate data cartridges that can be independently loaded and unloaded. Each cartridge encapsulates specific user-defined functions and data type handlers, allowing the system to load only the necessary extensions for a given task rather than maintaining all possible extensions in memory simultaneously. This reduces the active device complexity while maintaining high adaptability.
Solution Approach 2:
The patent introduces data cartridges as intermediary components between the event processing system and user-defined functions. These cartridges act as mediators that translate heterogeneous data types into native event stream formats, eliminating the need for the core system to directly manage complex data type conversions. This intermediary layer simplifies the system architecture while preserving support for diverse data types.
2Adaptability or versatility
If application-scoped user-defined functions are created, then specific application requirements are met, but ease of operation and reusability deteriorate
Solution Approach 1:
The patent implements universal data cartridges that can serve multiple applications and purposes. A single cartridge containing user-defined functions can be loaded into any event processing system instance and reused across different applications. The cartridges are designed with standardized interfaces that allow them to function universally rather than being tied to specific application contexts, thereby improving ease of operation and reusability.
Solution Approach 2:
The patent enables copying and sharing of data cartridges across different application instances. Instead of requiring each application to define its own user-defined functions, the system allows cartridges to be copied and reused multiple times. This copying mechanism preserves application-specific functionality while dramatically improving reusability, as the same cartridge can be instantiated across numerous applications without duplication of effort.
3Adaptability or versatility
If extensive user-defined functions are implemented, then handling of diverse data streams is improved, but loss of time for development and maintenance increases
Solution Approach 1:
The patent implements preliminary action by pre-packaging user-defined functions and data type handlers into ready-to-use data cartridges. These cartridges are prepared in advance with all necessary code and configurations, eliminating the need for developers to write and debug extension code at runtime. The preliminary packaging of functionality into cartridges significantly reduces development time while maintaining the ability to handle diverse data streams.
Solution Approach 2:
The patent enables discarding and recovering of data cartridges as needed. When a specific data stream processing task is completed, the associated cartridge can be discarded from memory, freeing resources. The cartridge can then be recovered and reused for similar tasks in the future. This mechanism reduces the permanent maintenance burden while preserving the capability to handle diverse data streams when needed.
Data Source
AI summary
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.