Hibernate ORM Query Simplication Using Hibernate
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2019 Stateof the Software Supply Chain
2019 State of the Software Supply Chain The 5th annual report on global open source software development presented by in partnership with supported by Table of Contents Introduction................................................................................. 3 CHAPTER 4: Exemplary Dev Teams .................................26 4.1 The Enterprise Continues to Accelerate ...........................27 Infographic .................................................................................. 4 4.2 Analysis of 12,000 Large Enterprises ................................27 CHAPTER 1: Global Supply of Open Source .................5 4.3 Component Releases Make Up 85% of a Modern Application......................................... 28 1.1 Supply of Open Source is Massive ...........................................6 4.4 Characteristics of Exemplary 1.2 Supply of Open Source is Expanding Rapidly ..................7 Development Teams ................................................................... 29 1.3 Suppliers, Components and Releases ..................................7 4.5 Rewards for Exemplary Development Teams ..............34 CHAPTER 2: Global Demand for Open Source ..........8 CHAPTER 5: The Changing Landscape .......................35 2.1 Accelerating Demand for 5.1 Deming Emphasizes Building Quality In ...........................36 Open Source Libraries .....................................................................9 5.2 Tracing Vulnerable Component Release 2.2 Automated Pipelines and Downloads Across Software Supply Chains -
JPA Avancé » Licence
Formation « JPA Avancé » Licence Cette formation vous est fournie sous licence Creative Commons AttributionNonCommercial- NoDerivatives 4.0 International (CC BY-NC-ND 4.0) Vous êtes libres de : ● Copier, distribuer et communiquer le matériel par tous moyens et sous tous formats Selon les conditions suivantes : ● Attribution : Vous devez créditer l'Oeuvre, intégrer un lien vers la licence et indiquer si des modifications ont été effectuées à l'Oeuvre. Vous devez indiquer ces informations par tous les moyens possibles mais vous ne pouvez pas suggérer que l'Offrant vous soutient ou soutient la façon dont vous avez utilisé son Oeuvre. ● Pas d’Utilisation Commerciale: Vous n'êtes pas autoriser à faire un usage commercial de cette Oeuvre, tout ou partie du matériel la composant. ● Pas de modifications: Dans le cas où vous effectuez un remix, que vous transformez, ou créez à partir du matériel composant l'Oeuvre originale, vous n'êtes pas autorisé à distribuer ou mettre à disposition l'Oeuvre modifiée. http://creativecommons.org/licenses/by-nc-nd/4.0/deed.fr Ippon Technologies © 2014 Ippon Formation en bref Pourquoi Ippon Technologies publie ses supports de formation ? Car Ippon participe à la communauté Java et Web et soutien le modèle open-source Le support théorique représente 40% du temps de formation, l'intérêt est dans les Travaux Pratiques et l'expert Ippon qui assure le cours. Nos TP sont dispensés lors des sessions de formations que nous proposons. Ippon Technologies © 2014 Pour nous contacter Pour nous contacter et participer à nos formations : - Technique : [email protected] - Commercial : [email protected] Toutes les informations et les dates de formations sont sur notre site internet et notre blog : - http://www.ippon.fr/formation - http://blog.ippon.fr Ippon Technologies © 2014 Bienvenue ● Présentation ● Organisation ● Détails pratiques Ippon Technologies © 2014 Prérequis ● Pour suivre le cours ○ Avoir de bonnes bases en Java : les JavaBeans, les Collections, JDBC.. -
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 -
Anembeddedquerylanguage in Scala
Master Thesis An Embedded Query Language in Scala Amir Shaikhha Professor Martin Odersky Supervisors Vojin Jovanovic, Eugene Burmako Expert Stefan Zeiger, Typesafe Semester Spring 2013 An Embedded Query Language in Scala, p. 1 Abstract In this thesis we address the problem of integrating general purpose programming languages with relational databases. An approach to solving this problem is using raw strings to represent SQL statements. This approach leads to run-time errors and security vulnerabilities like SQL injection. The second approach is integrating the query in a host language. The most well-known example of the second approach is LINQ. This approach provides static checking of types and syntax during compilation. This thesis presents an embedded query language in Scala, namely Shadow Embedding in Slick. Shadow Embedding provides even stronger compile-time guarantees than LINQ and similar sys- tems in Scala. The experimental results show that the performance of our approach is very similar to the case of using raw Strings, thanks to static code analysis and clever code caching. An Embedded Query Language in Scala, p. 2 Acknowledgement First, I would like to thank Prof. Martin Odersky for giving me the opportunity to do my master thesis in Typesafe and LAMP. Vojin Jovanovic helped me tremendously during the whole period of my thesis. Thank you to Stefan Zeiger for believing in me and providing me with the opportunity to work on the Slick project. I would like to thank Eugene Burmako for all his support, Christopher Vogt for the great discussions, and everybody at Typesafe and the LAMP team. I can never thank my parents enough for believing in me and supporting me through all periods of my life. -
Thesis Artificial Intelligence Method Call Argument Completion Using
Method Call Argument Completion using Deep Neural Regression Terry van Walen [email protected] August 24, 2018, 40 pages Academic supervisors: dr. C.U. Grelck & dr. M.W. van Someren Host organisation: Info Support B.V., http://infosupport.com Host supervisor: W. Meints Universiteit van Amsterdam Faculteit der Natuurwetenschappen, Wiskunde en Informatica Master Software Engineering http://www.software-engineering-amsterdam.nl Abstract Code completion is extensively used in IDE's. While there has been extensive research into the field of code completion, we identify an unexplored gap. In this thesis we investigate the automatic rec- ommendation of a basic variable to an argument of a method call. We define the set of candidates to recommend as all visible type-compatible variables. To determine which candidate should be recom- mended, we first investigate how code prior to a method call argument can influence a completion. We then identify 45 code features and train a deep neural network to determine how these code features influence the candidate`s likelihood of being the correct argument. After sorting the candidates based on this likelihood value, we recommend the most likely candidate. We compare our approach to the state-of-the-art, a rule-based algorithm implemented in the Parc tool created by Asaduzzaman et al. [ARMS15]. The comparison shows that we outperform Parc, in the percentage of correct recommendations, in 88.7% of tested open source projects. On average our approach recommends 84.9% of arguments correctly while Parc recommends 81.3% correctly. i ii Contents Abstract i 1 Introduction 1 1.1 Previous work........................................ -
A Decision Support Model for Using an Object-Relational Mapping Tool in the Data Management Component of a Software Platform
UNIVERSITY OF UTRECHT DEPARTMENT OF INFORMATION AND COMPUTING SCIENCES A Decision Support Model for using an Object-Relational Mapping Tool in the Data Management Component of a Software Platform Rares George Sfirlogea Supervisors: dr. R.L. Jansen dr. ir. J.M.E.M. van der Werf Friday 6th February, 2015 Academic year 2014/2015 Abstract The usage of an ecosystem-based application framework gives software com- panies a competitive advantage in delivering stable, feature rich products while keeping the completion time to a minimum. It is seldom the case that a platform is selected by looking at its software architecture although it can reveal a lot of details about its limitations and functionality. The Object- Relational Mapping (ORM) tool in the data management component imposes extendability restrictions on the software platform. The software architect or developer that is responsible of making this decision is often unaware of the platform traits leading to breaking the general conventions or even consider- ing a costly rewrite of the entire application in the future. The aim of this research thesis is to create a decision support model regarding the inclusion of an ORM tool in the platform architecture and the consequences it imposes on the software platform's quality attributes. With this artefact, any individ- ual in charge with the product architecture can make a more knowledgeable decision, by aligning the platform capabilities with his data requirements. Acknowledgements I would like to express my sincere appreciation for all the people who helped this research reach its final state. With a special mention going to my thesis coordinators, the experts who agreed to be interviewed and of course my girlfriend, family and friends who put up with me during this long period of time. -
Develop a Simple Web Application with Apache Wicket and Apache
Develop a simple Web application with Apache Wicket and Apache Geronimo Combine Wicket, Geronimo, and Apache Derby to form an open source Java Web development platform Skill Level: Intermediate Robi Sen ([email protected]) Vice President Department 13 LLC 10 Jul 2007 Apache Wicket is an innovative Java™ Web application framework that was introduced a couple of years ago. It helps simplify Web application development by clearly separating the roles of developers and designers. It lets you remove logical code from the view layer, eliminating the need for JavaServer Pages (JSP), providing a simple plain old Java object (POJO)-centric mode of development, and removing much of the need for XML and other configuration file formats. In this tutorial, learn how to set up your system to develop a simple Web application with Wicket, using Apache Geronimo as your application server and Apache Derby as the embedded database. Section 1. Before you start This tutorial is designed for developers who have found Java frameworks, such as Struts, lacking in needed functionality. If you're interested in developing Web applications in a more object-oriented manner, where the view is clearly separated from logic and there's minimal configuration and mapping, then Wicket is for you! This tutorial walks you through the basics of how Wicket works, while using Apache Geronimo to set up a Java Platform, Enterprise Edition (Java EE) server, Web server, and embedded database in just minutes. Combining Wicket with Geronimo lets you develop data-driven, scalable Web applications using software that's all open source. Develop a simple Web application with Apache Wicket and Apache Geronimo © Copyright IBM Corporation 1994, 2008. -
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 -
Curriculum Vitae: Tom Eugelink
Curriculum Vitae: Tom Eugelink Personalia Woonplaats Aalten Geboortedatum 25 juni 1970 Functie Senior software engineer / solution architect Email [email protected] Telefoon +31-647938592 Blog http://tbeernot.wordpress.com Hobbies Basketbal, Stijldansen, Sportschool, Gaming Talen Nederlands vloeiend (moedertaal), Engels en Duits vloeiend Opleiding Opleidingen VWO (CSA Aalten, 1989) Hogere Informatica (HIO Enschede, 1993, cum laude) Cursus hoger management TOGAF & archimate certified architect Boeken Patterns, Principles and Practices of DDD, Functional and Reactive Domain Modeling, Implementing Domain Driven Design, Building modular cloud apps with OSGi, Risk Driven Software Architecture, Effective Unit Testing, Spring 3 in Practice, Gradle in Action, UML distilled, The Cucumber for Java book Werkverleden Mei 1994 – Aug 2002 OVSoftware (developer) Sept 2002 – Oct 2005 Knowledgeplaza B.V. (senior software engineer) Nov 2005 – heden SoftWorks B.V. (senior software engineer / architect) Over Mijn eerste computerprogramma schreef ik in 1983 op een NewBrain, een veredelde broodtrommel met zo’n lang nagloeiend groen scherm. Maar die eerste keer was een bijna magische ervaring. Computers waren toen nog zeldzaam, maar op dat moment werd duidelijk wat ik later zou worden en dat maakte veel keuzes makkelijker. Behalve die tussen HBO en universiteit, in 1989 was de IT anders dan nu; de universiteit was vooral bezig met de wetenschappelijke en wiskundige kant, maar ik wilde juist software maken die mensen ondersteunde in hun dagelijkse leven. En daar sloot het HBO beter bij aan. Die insteek is tegenwoordig belangrijker dan ooit; software is nu overal, maar wordt nog steeds gemaakt voor mensen, maar vooral ook door mensen. En met alle technische keuzes en mogelijkheden die je als ontwikkelaar of architect hebt, is ‘the human factor’ vaak veel bepalender. -
Oracle Glassfish Server Release Notes Release 3.1.2 and 3.1.2.2 E24939-04
Oracle GlassFish Server Release Notes Release 3.1.2 and 3.1.2.2 E24939-04 October 2012 These Release Notes provide late-breaking information about GlassFish Server 3.1.2 and 3.1.2.2 software and documentation. These Release Notes include summaries of supported hardware, operating environments, and JDK and JDBC/RDBMS requirements. Also included are a summary of new product features in the 3.1.2 and 3.1.2.2 releases, and descriptions and workarounds for known issues and limitations. Oracle GlassFish Server Release Notes, Release 3.1.2 and 3.1.2.2 E24939-04 Copyright © 2012, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT RIGHTS Programs, software, databases, and related documentation and technical data delivered to U.S.