Develop a Simple Web Application with Apache Wicket and Apache
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Weld 3.0.2.Final - CDI Reference Implementation
Weld 3.0.2.Final - CDI Reference Implementation CDI: Contexts and Dependency In- jection for the Java EE platform by Gavin King, Pete Muir, Jozef Hartinger, Martin Kouba, Dan Allen, and David Allen and thanks to Nicola Benaglia, Gladys Guerrero, Eun- Ju Ki,, Terry Chuang, Francesco Milesi, and Sean Wu A note about naming and nomenclature ............................................................................. ix I. Beans ............................................................................................................................ 1 1. Introduction ......................................................................................................... 5 1.1. What is a bean? ......................................................................................... 5 1.2. Getting our feet wet .................................................................................... 5 2. More about beans ................................................................................................ 9 2.1. The anatomy of a bean ............................................................................. 10 2.1.1. Bean types, qualifiers and dependency injection ............................... 10 2.1.2. Scope ............................................................................................ 13 2.1.3. EL name ........................................................................................ 13 2.1.4. Alternatives .................................................................................... 14 2.1.5. Interceptor -
Hibernate ORM Query Simplication Using Hibernate
2016 3rd National Foundation for Science and Technology Development Conference on Information and Computer Science Hibernate ORM Query Simplication Using Hibernate Criteria Extension (HCE) Kisman Sani M. Isa Master of Information Technology Master in Computer Science Bina Nusantara University Bina Nusantara University Jl. Kebon Jeruk Raya No. 27, Jakarta Barat, DKI Jl. Kebon Jeruk Raya No. 27, Jakarta Barat, DKI Jakarta, Indonesia 11530 Jakarta, Indonesia 11530 [email protected] [email protected] Abstract— Software development time is a critical issue interfaced by a query. The software engineer will make in software development process, hibernate has been the query specified to database used. Each database widely used to increase development speed. It is used in vendor has their Structured Query Language (SQL). As database manipulation layer. This research develops a the development of software technology and most of library to simplify hibernate criteria. The library that is programming languages are object oriented, some called as Hibernate Criteria Extension (HCE) provides API functions to simplify code and easily to be used. Query engineer or software institutions try to simplify the associations can be defined by using dot. The library will query process. They try to bind object in application to automatically detect the join association(s) based on database. This approach is called as Object Relational mapping in entity class. It can also be used in restriction Mapping (ORM). ORM is a translation mechanism from and order. HCE is a hibernate wrapper library. The object to relational data, vice versa. ORM has “dialect” configuration is based on hibernate configuration. -
Hippo Consolidates Its Leadership Status in the Open Source Software Community Submitted By: Prompt Communications Ltd Wednesday, 25 March 2009
Hippo consolidates its leadership status in the open source software community Submitted by: Prompt Communications Ltd Wednesday, 25 March 2009 – Global software developer comes of age with more than 150 enterprise organisations using its open source CMS & portal software, ten Hippo developers accepted as ‘committers' to Apache projects; and three 'members' of The Apache Software Foundation – San Francisco, CA and Amsterdam, The Netherlands –25 March, 2009 – Hippo (http://www.onehippo.com), a leading vendor of open source Enterprise Content Management and Portal technology, today further demonstrated its leadership in the open source community with the announcement that the tenth member of its Technology Expertise Team has joined with the prestigious status of ‘committer’ to projects of The Apache Software Foundation. Out of its team of over 50 employees, nine others have attained this status, of which three have since received recognition for their technical excellence and contribution by achieving 'member' level. Developers are accepted as committers by the ASF based on the quality and quantity of their contributions to Apache open source development projects. Led by Hippo’s CTO, Arje Cahn, the Hippo Technology Expertise Team includes ASF members and committers to a broad range of Apache projects including Cocoon, Jetspeed, Portals, Wicket, and Jackrabbit. The number of Hippo developers accepted as Apache committers is indicative both of the high levels of technical expertise within the company, and of its commitment to contributing to open source development projects and enriching the world’s store of open source software. The ASF process is meritocratic: to attain committer status, developers have to be voted on by other committers. -
Cloud-TM Companion Document For
Cloud-TM Specific Targeted Research Project (STReP) Contract no. 257784 Companion document for deliverable D2.2: Preliminary Prototype of the RDSTM and RSS Date of preparation: 10 June 2010 Start date of project: 1 June 2010 Duration: 36 Months Contributors Emmanuel Bernard, Red Hat Joao Cachopo, INESC-ID Mark Little, Red Hat Francesco Quaglia, CINI Paolo Romano, INESC-ID Vittorio A. Ziparo, ALGORITHMICA Manik Surtani, Red Hat Sanne Grinovero, Red Hat Fabio Cottefoglie, ALGORITHMICA —————————————————— (C) 2010 Cloud-TM Consortium. Some rights reserved. This work is licensed under the Attribution-NonCommercial-NoDerivs 3.0 Creative Commons License. See http://creativecommons.org/licenses/by-nc-nd/3.0/legalcode for details. Table of Contents 1 Introduction 4 1.1 Relationship with other deliverables . .4 2 Architectural Overview of the Cloud-TM Preliminary Prototype 6 2.1 TorqueBox . .6 2.2 Object Grid Mapper . .7 2.3 Reconfigurable Distributed STM and Storage System . .8 3 Setting up the prototype 10 3.1 Structure and Content of the Package . 10 3.2 Installing and running the prototype . 10 3.2.1 Hibernate OGM . 11 3.2.2 Fenix Framework . 12 4 Conclusions 13 3 1 Introduction This document accompanies Deliverable D2.2, Preliminary Prototype of the Cloud- TM platform. Its aim is to overview the current architecture of the prototype and to document how to set it up in order to develop applications running on top of it. As planned in the DoW this preliminary prototype does not include neither dy- namic reconfiguration mechanisms, nor the Autonomic Manager which are going to be developed later on during the project. -
APACHE LUCENE for JAVA EE DEVELOPERS JAVAONE:2015 by @Sannegrinovero
APACHE LUCENE FOR JAVA EE DEVELOPERS JAVAONE:2015 by @SanneGrinovero WHO AM I? WHO AM I? RED HAT Principal Software Engineer, middleware R&D Dutch, Italian, living now in London HIBERNATE TEAM Hibernate Search project lead Hibernate ORM Hibernate OGM CONTRIBUTING TO INFINISPAN the Lucene guy: Infinispan Query, Infinispan Lucene Directory, clustering extensions for Hibernate Search OTHER PROJECTS I HELP WITH... WildFly, JGroups, Apache Lucene, ... AGENDA What is Apache Lucene and how can it help you Integrations with a JPA application via Hibernate Search How does this all relate with Infinispan and WildFly Lucene index management & clouds Plans and wishlist for the future THE SEARCH PROBLEM THE SEARCH PROBLEM Hey JavaOne, remind me where the talk having primary key #2342 is? SQL CAN HANDLE TEXT SQL CAN HANDLE TEXT The LIKE operator? LET'S REFRESH SOME LESSONS ON LET'S REFRESH SOME LESSONS ON THE WIKIPEDIA Select * from WikipediaPages p where p.content LIKE ?; Select * from WikipediaPages p where p.title LIKE ?; Select * from WikipediaPages p where (lowercase(p.content) LIKE %:1% OR lowercase(p.content) LIKE %:2% OR lowercase(p.content) LIKE %:3% OR ...); HOW BAD IS IT? HOW BAD IS IT? I'm quoting successfull web companies. How many can you list which do not provide an effective search engine? Human interaction REQUIREMENTS FOR A SEARCH REQUIREMENTS FOR A SEARCH ENGINE Need to guess what you want w/o you typing all of the content Humans hate complex forms: can't you just guess what I need? We want the results in the blink of an eye We want the right result on top: Relevance We want the right result on top: Relevance SOME MORE THINGS TO CONSIDER: SOME MORE THINGS TO CONSIDER: Approximate word matches Stemming / Language specific analysis Typos Synonyms, Abbreviations, Technical Language specializations BASICS: KEYWORD EXTRACTION On how to improve running by Scott 1. -
Spring Framework Cookbook I
Spring Framework Cookbook i Spring Framework Cookbook Spring Framework Cookbook ii Contents 1 Spring Framework Best Practices 1 1.1 Define singleton beans with names same as their class or interface names.....................1 1.2 Place Spring bean configuration files under a folder instead of root folder.....................1 1.3 Give common prefixes or suffixes to Spring bean configuration files........................2 1.4 Avoid using import elements within Spring XML configuration files as much as possible.............2 1.5 Stay away from auto wiring in XML based bean configurations...........................2 1.6 Always externalize bean property values with property placeholders........................3 1.7 Select default version-less XSD when importing namespace definitions.......................3 1.8 Always place classpath prefix in resource paths...................................4 1.9 Create a setter method even though you use field level auto wiring.........................4 1.10 Create a separate service layer even though service methods barely delegate their responsibilities to correspond- ing DAO methods...................................................4 1.11 Use stereotype annotations as much as possible when employing annotation driven bean configuration......5 1.12 Group handler methods according to related scenarios in different Controller beans................6 1.13 Place annotations over concrete classes and their methods instead of their interfaces................6 1.14 Prefer throwing runtime exceptions instead of checked exceptions -
(Minus Sign) in Class Diagrams, 15 * (Asterisk) As Wildcard, 58 ? (Question
Index - (minus sign) in class diagrams, 15 AOP module (Spring), 34, 37 * (asterisk) as wildcard, 58 Apache Axis web services framework, 210 ? (question mark) for positional bind Apache Maven, 280–285 variables, 187 Apache Struts framework, 23 + (plus sign) in class diagrams, 15 Apache Tiles framework, 122, 278 Apache Tomcat, 257 ■ A APF (Authentication Processing Filter), AbstractCachingViewResolver class, 60 233–243 AbstractCommandController class, 74–78 application contexts (Spring), 33 AbstractController class, 71–74 Application Controller pattern AbstractEnterpriseBean class, 158, 200 action/command handling, 52–56 AbstractHandlerMapping, 54 action handlers, using, 56–58 AbstractMessageDrivenBean class, 200 for action-view management, 50–52 AbstractProcessingFilter, 234 background, 50–51 AbstractStatelessSessionBean, 158 benefits and concerns, 68 AbstractTemplateViewResolver class, strategies with Spring framework, 52 60–61 view handlers, 59–62, 62–68 AbstractWizardFormController class, 89 application server transactions, 261 access decision manager (Spring application servers, 138 Security), 228 application service implementation class, accessDecisionManager property, 164 246–247 Application Service pattern Acegi Security, 223–224 benefits and concerns, 167 action/command handling (application to concentrate business logic in POJO controller), 52–56 classes, 162–163 action handlers strategies with Spring framework, page controllers and, 51 164–167 sequence, 54 applicationContext-security.xml, 229 using (application controller), 56–58 -
Perception and Effects of Implementing Kotlin in Existing Projects
Bachelor thesis Undergraduate level Perception and effects of implementing Kotlin in existing projects A case study about language adoption Author: Emil Sundin Supervisor: Wei Song Examiner: Azadeh Sarkheyli Discipline: Informatics Course: IK2017 Credit: 15 credits Examination date: 2018-05-25 Dalarna University provides the opportunity for publishing the thesis through DiVA as Open Access. This means that the thesis work will become freely available to read and download through their portal. Dalarna University encourages students as well as researchers to publish their work in the Open Access format. We approve the publishing of this thesis work under the Open Access format: Yes ☒ No ☐ Dalarna University – SE-791 88 Falun – Phone +4623-77 80 00 Abstract The Kotlin programming language has seen an increase of adoption since its launch in 2011. In late 2017 Google announced first-class support for Kotlin on the Android platform which further popularized the language. With this increase in popularity we felt it was interesting to investigate how Kotlin affects the developer experience. We performed a case study to see how Java developers perceive the Kotlin language, and how it meets the requirements of these developers. To gather the developer requirements and their perception of Kotlin we performed two sets of interviews and rewrote parts of their codebase. The first set of interviews identified developer requirements and the second set of interviews showcased the Kotlin language and its potential use in their codebase. The results show that Kotlin can meet most of the developer requirements and that the perception of Kotlin is positive. Kotlin’s ability to be incrementally adopted was a prominent feature which reduced the inherent risks of technology adoption while providing them the ability to further evaluate the language. -
Towards High-Quality Android Applications Development with Kotlin Bruno Gois Mateus
Towards high-quality Android applications development with Kotlin Bruno Gois Mateus To cite this version: Bruno Gois Mateus. Towards high-quality Android applications development with Kotlin. Mobile Computing. Université Polytechnique Hauts-de-France, 2021. English. NNT : 2021UPHF0012. tel- 03247062 HAL Id: tel-03247062 https://tel.archives-ouvertes.fr/tel-03247062 Submitted on 2 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. PhD Thesis Université Polytechnique Hauts-de-France and from INSA Hauts-de-France Subject: Computer Science Presented and defended by Bruno GÓIS MATEUS On March 26, 2021, Valenciennes Doctoral School: Sciences Pour l’Ingénieur (ED SPI 072) Research team, Laboratory: Département d’Informatique Laboratory of Industrial and Human Automation control, Mechanical engineering and Computer Science (LAMIH UMR CNRS 8201) Towards high-quality Android applications development with Kotlin JURY Committee President - Káthia MARÇAL DE OLIVEIRA. Professor at Université Polytechnique Hauts-de-France. Reviewers - Guilherme HORTA TRAVASSOS. Professor at Federal University of Rio de Janeiro. - Jacques KLEIN. Professor at University of Luxembourg. Examiner - Dalila TAMZALIT. Associate Professor at Université de Nantes. Supervisor - Christophe KOLSKI. Professor at Université Polytechnique Hauts-de-France. Co-Supervisor - Matias MARTINEZ. -
Comparative Studies of 10 Programming Languages Within 10 Diverse Criteria
Department of Computer Science and Software Engineering Comparative Studies of 10 Programming Languages within 10 Diverse Criteria Jiang Li Sleiman Rabah Concordia University Concordia University Montreal, Quebec, Concordia Montreal, Quebec, Concordia [email protected] [email protected] Mingzhi Liu Yuanwei Lai Concordia University Concordia University Montreal, Quebec, Concordia Montreal, Quebec, Concordia [email protected] [email protected] COMP 6411 - A Comparative studies of programming languages 1/139 Sleiman Rabah, Jiang Li, Mingzhi Liu, Yuanwei Lai This page was intentionally left blank COMP 6411 - A Comparative studies of programming languages 2/139 Sleiman Rabah, Jiang Li, Mingzhi Liu, Yuanwei Lai Abstract There are many programming languages in the world today.Each language has their advantage and disavantage. In this paper, we will discuss ten programming languages: C++, C#, Java, Groovy, JavaScript, PHP, Schalar, Scheme, Haskell and AspectJ. We summarize and compare these ten languages on ten different criterion. For example, Default more secure programming practices, Web applications development, OO-based abstraction and etc. At the end, we will give our conclusion that which languages are suitable and which are not for using in some cases. We will also provide evidence and our analysis on why some language are better than other or have advantages over the other on some criterion. 1 Introduction Since there are hundreds of programming languages existing nowadays, it is impossible and inefficient -
Esper Reference
Esper Reference Version 8.3.0 by EsperTech Inc. [http://www.espertech.com] Copyright 2006 - 2019 by EsperTech Inc. Preface ......................................................................................................................... xxvii 1. Getting Started ............................................................................................................ 1 1.1. Introduction to Complex Event Processing ........................................................... 1 1.2. Introduction to the Architecture ............................................................................ 1 1.3. Introduction to EPL ............................................................................................. 2 1.4. Compiler Getting-Started ..................................................................................... 3 1.4.1. Compiler - Step One: Setting up the Compiler Classpath ............................ 3 1.4.2. Compiler - Step Two: Provide Information on Input Events .......................... 3 1.4.3. Compiler - Step Three: Compiling EPL ...................................................... 4 1.5. Runtime Getting-Started ...................................................................................... 5 1.5.1. Runtime - Step One: Setting up the Runtime Classpath .............................. 5 1.5.2. Runtime - Step Two: Obtain Runtime ........................................................ 6 1.5.3. Runtime - Step Three: Deploy EPL Compiled Module and Attach a Callback ......................................................................................................................... -
Modul Web Programming 2
Modul Web Programming 2 Oleh : Agung Sasongko, M.Kom Program Studi Sistem Informasi Fakultas Teknologi Informasi Agung Sasongko, M.Kom | Sistem Informasi Universitas Bina Sarana Informatika 2018 Daftar Isi Pertemuan 1 ............................................................................................................................................... 4 1.1. Framework Web ......................................................................................................................... 4 1.2. Mengapa Laravel ........................................................................................................................ 5 1.3. Paket Aplikasi Pengembangan PHP ........................................................................................... 5 3.2. Mendaftarkan Direktori PHP ...................................................................................................... 8 3.3. Pemasangan Composer ............................................................................................................ 10 3.4. Pemasangan Laravel ................................................................................................................. 13 3.5. IDE Pengembangan Aplikasi Web ............................................................................................ 14 3.6. Aplikasi Presensi ....................................................................................................................... 17 3.7. Rancangan Database Presensi.................................................................................................