Did you mean: Search also for broader subjects Search also for narrower subjects Search also for related subjects Air-supported structures American Association of State Highway and Transportation Officials. Subcommittee on Bridges and Structures. Sun Valley (Idaho) Buildings, structures, etc SECURITY IN NEW MILLENNIUM INDIAN NATIONAL SECURITY INDIAN FOREIGN RELATIONS INDIA'S DRAFT NUCLEAR DOCTRINE CTBT DEBATE,INDIAN POINT OF VIEW INDIA PAKISTAN RELATIONS IN FUTURE ISI OPERATIONS IN INDIA MISSILE RACE IN SUBCONTINENT FORCE MULTIPLIER TECHNOLOGIES FUTURE BATTLEFIELD SCENARIO FORCE STRUCTURE-CHINA FORCE STRUCTURE-INDIA FORCE STRUCTURE-PAKISTAN INDIAN DEFENCE BUDGET 1999-2000 DRDO'S RECENT AND CURRENT PROJECTS INDIAN ARMY INDIAN NAVY INDIAN AIRFORCE INDIAN DEFENCE COOPERATION WITH FOREIGN PARTNERS DEFEXPO INDIA 1999 INDIA DEFEXPO 1999 ISRAEL AT DEFEXPO INDIA 1999 INDIAN ARMED FORCES DEFENCE ORGANISATION INDIAN WEAPON SYSTEMS INDIAN ARMED FORCES EQUIPMENT INDIAN DEFENCE RESEARCH AND DEVELOPMENT ENGINEERING HANDBOOKS,MANUALS,ETC STATICS MECHANICS OF MATERIALS DYNAMICS AND VIBERATION KINEMATICS AND MECHANISMS STRUCTURES FLUID MECHANICS THERODYNAMICS AND HEAT TRANSFER SEPARATION PROCESS FUELS AND ENERGY CONVERSION KINETICS AND REACTION ENGINEERING GEOTECHNICAL TRANSPORTATION COASTAL AND OCEAN ENGINEERING WATER RESOURCE ENGINEERING LINEAR SYSTEMS AND MODELS DIGITAL SYSTEMS COMMUNICATION AND SIGNAL PROCESSING COMPUTERS SURVEYING CONTROL SYSTEMS MANUFACTURING AERONAUTICAL AND AEROSPACE SAFETY ENGINEERING ENGINEERING ECONOMIC AND MANAGEMENT MATERIALS ENGINEERING MATHEMATICS-INTRODUCTION MS-CSE-15 MSTHESIS ABSTRACT. Database management Systems (DBMS) are one the most critical component of a software application. Searching data from DBMS is an enormous part in software performance. Text search engines are also used for searching, but these engines lack sophisticated DBMS features. Relational database management systems (RDBMS) are not quite compatible with modern objectoriented languages. To overcome the complexity of data and object-oriented programming, modern development practices adopted Object Relation Mapping frameworks (ORM). ORM bears a layer of abstraction between object models and database. This layer automatically bridges objects in OOP languages to database records, which results in significantly reducing custom mapping code complexity. ORM has its advantages but on the other side it comes with be some challenges too. In process of mapping objects and data, ORM keeps the relations between objects intact and that results in retrieval of multiple objects from multiple tables. When the data is big and have a hieratical structure, data retrieval or search becomes more complex. Database performance for the retrieval of data are optimized by adding indexing to each table. Indexing makes search significantly fast but also makes other processes slow because tables are required to be re-index every time a record is changed. Hence an optimized solution is required to resolve this problem in ORM search process. To overcome this problem, this research proposes a java-based framework that can interact between ORM and search engine. It consumes search engine web APIs to provide a layer that can convert and search objects to/from XML. It makes search process faster and support ORM with its object-oriented methodology. Moreover, this framework not only reduces performance load on databases but also makes search queries simpler when implemented in development process. The results have been validated by two case studies, which were carried out by implementing each approach. 1000 similar search queries were processed on each framework and results shows 30 to 40 % improvement in query time. Keywords: DBMS Search, Indexing, Text Search Engines, Solr inedexes, Object oriented programming (OOP), Object Relation Mapping (ORM), Search optimization, Information Retrieval, database indexing