Did you mean: LABOR LAWS AND LEGISLATION , DISCRIMINATION IN EMPLOYMENT LAW AND LEGISLATION LASER-INDUSTRIAL APPLICATIONS MANUFACTURING PROCESSES LASER-INDUSTRIAL APPLICATIONS LEADERSHIP CRISIS IN INDIAN ARMY INDIAN ARMY-LEADERSHIP CRISIS LOW NOISE AMPLIFIER,VOL-VI NOISE,VOL-VI AMPLIFIER STABILITY,VOL-VI BIAS NETWORKS,VOL-VI SMALL SIGNAL AMPLIFIER DESIGN,VOL-VI NEGATIVE CIRCUIT ELEMENTS,VOL-V TRANSISTOR DATA,VOL-V POLAR IMPENDANCE AND ADMITTANCE CHARTS,VOL-V SMITH CHART AND ITS APPLICATIONS-IMPENDANCE MAPPING,VOL-V SMITH CHART AND ITS APPLICATIONS,VOL-V NETWORKS-L,T AND PI-NETWORKS,VOL-IV Q AND BANDWIDTH RELATION,VOL-IV CIRCUIT TOPOLOGIES,VOL-IV IMPENDANCE MATCHING TECHNIQUES,VOL-IV TWO-PORT CIRCUITS,VOL-III COAXIAL AND STRIPELINES,VOL-III VSWR,VOL-III TRAVELING WAVES,VOL-III TRANSMISSION LINE FUNDAMENTALS,VOL-III FREQUENCY AND IMPEDANCE SCALLING,VOL-II LOADED AND UNLOADED Q,VOL-II RESONANT CIRCUITS AND FILTERS,VOL-II FILTERS AND RESONANT CIRCUITS,VOL-II FET MODEL,VOL-I REACTANCE CHART,VOL-I CAPACITOR MODELS,VOL-I TOROIDS,VOL-I RF WAVEFORMS,VOL-I HIGH FREQUENCY EFFECT,VOL-I CIRCUIT FUNDAMENTALS MEMORY-IC MASTER; LINEAR-IC MASTER; INTERFACE-IC MASTER; DIGITAL SIGNAL PROCESSING-IC MASTER; DIGITAL LOGIC-IC MASTER; CHIP SETS AND MULTIFUNCTION-IC MASTER; ASIC-CUSTOM-IC MASTER; MASTER SELECTION GUIDE I; FUNCTION INDEX Arooj Imran | Amna Mubashar | Laila Iftikhar Chaudhry Oxford lecture series in mathematics and its applications. Leonov, Alexander I Leonov, Sergey A Leonov , Sergey . A ,Leonov , Alexander . I INTEGRATED CIRCUITS, VERY LARGE SCALE INTEGRATION, LINEAR INTEGRATED CIRCUITS ANALOG VLSI DATA BOOK-ADVANCED LOGIC AND BUS INTERFACE LOGIC Lecture notes in computer science. Lecture notes in artificial intelligence Information storage and retrieval systems Law and legislation United States Banks and banking, International Law and legislation International agencies Law and legislation Energy industries Law and legislation Environmental aspects Australia World Cup (Cricket) (10th : 2011 : Kolkata, India; Chennai, India; New Delhi, India; Nāgpur, India; Ahmadābād, India; Mumbai, India; Mohali, India; Bangalore, India; Colombo, Sri Lanka; Pallekele, Sri Lanka; Hambantota, Sri Lanka; Chittagong, Bangladesh; Dhaka, Bangladesh) AIRCRAFT POWERPLANTS.AIRCRAFT-INTERNAL COMBUSTION ENGINE.AIRCRAFT -LUBRICANTS AND LUBRICATION SYSTEMS.AIRCRAFT -FUEL INJECTION INDUSTREAL HYGIENE LAW AND LEGISLATION US CONGRESSES, HAZARDOUS SUBSTANCES LAW AND LEGISLATION US CONGRESSES, INDUSTRIAL SAFETY LAW AND LEGISLATION US CONGRESSES, HAZARDOUS SUBSTANCE US CONGRESSES 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