<p>This report presents the results of a master level thesis project that analyzes and designs about the issue “Framework for Flexible Connectors with Java Reflection Proxies”. In this project, there are two main issues; first one is about finding a way to implement the function of a connector. And the other one is to build a framework for flexible connectors.</p><p>By studying on Java’s dynamic proxy, we find we can use it to implement the function of a connector. When building a connector chain, we use an important Java technique--Java Reflection API.</p>

This report presents the results of a master level thesis project that analyzes and designs about the issue “Framework for Flexible Connectors with Java Reflection Proxies”. In this project, there are two main issues; first one is about finding a way to implement the function of a connector. And the other one is to build a framework for flexible connectors. By studying on Java’s dynamic proxy, we find we can use it to implement the function of a connector. When building a connector chain, we use an important Java technique--Java Reflection API.

Denna rapport redogör för utvecklingen av en applikation som används för att konfigurera integrationer som används av av Sigma Integration Architecture (SIA). Applikationen är riktad till Sigma-personal som inte är vana vid denna integrationsarkitektur, då den tillhandlahåller användaren med en rad olika hjälp-element för att underlätta konfigurationensprocessen och sänka tröskeln för att kunna skapa och redigera integrationer. Genom att använda Javas reflection API i kombination med dynamic proxies, kan applikationen utföra validering och simulering av integrationer innan de används i produktion. Vi innefattar även cache-metod för att snappa upp processen, och påvisar även testverifikation av cache-processen. Applikationen är utvecklad som två separata delar, bestående av en back end skriven i Java, och en webbaserad front end skapad med AngularJS. / This report describes the development of an application used to configure integrations used by Sigma Integration Architecture (SIA). The application is aimed towards Sigma personnel unfamiliar with the integration architecture, as it provides the user with various help elements in an effort to ease the configuration process and lower the entry barrier for creating and editing integrations. Using Java's reflection API in combination with dynamic proxies, the application is able to perform validation and simulation of integration pipelines before they are used for production. We also include a cache mechanism to speed up the process, and provide experimental verification of caching performance. The application is developed as two separate parts, consisting of a back end written in Java, and a web-based front end created with AngularJS.

Modern society is intrinsically dependent on the ability to manage data effectively. While relational databases have been the industry standard for the past quarter century, recent growth in data volumes and complexity requires novel data management solutions. These trends revitalized the interest in deductive databases and highlighted the need for column-oriented data storage. However, programming technologies for enterprise computing were designed for the relational data management model (i.e., row-oriented data storage). Therefore, developers cannot easily incorporate emerging data management solutions into enterprise systems. To address the problem above, this thesis presents Deductive Java (DJ), a system that enables enterprise programmers to use a column oriented deductive database in their Java applications. DJ does so without requiring that the programmer become proficient in deductive databases and their non-standardized, vendor-specific APIs. The design of DJ incorporates three novel features: (1) tailoring orthogonal persistence technology to the needs of a deductive database with column-oriented storage; (2) using Java interfaces as a primary mapping construct, thereby simplifying method call interception; (3) providing facilities to deploy light-weight business rules. DJ was developed in partnership with LogicBlox Inc., an Atlanta based technology startup. / Master of Science