Java EE 7 includes many new features and specifications such as JSF 2.2 with new functionality like faces flows, resource library contracts, and HTML 5 friendly markup. JPA 2.1 adds features like converters, enhanced JPQL and criteria queries, CDI injection in entity listeners, and entity graphs. CDI 1.1 enhances bean discovery and enables interceptors, decorators, and alternatives globally with priorities. Other additions are JSON support and client APIs in JAX-RS, and concurrency utilities, batch processing, and WebSockets. GlassFish 4 and WildFly 8 are reference platforms that implement the new Java EE 7 specifications.
GlassFish is the open source application server that implements the Java EE platform, and version 3 will include new features from Java EE 6 like profiles, pruning of older technologies, and improved extensibility and ease of development for web applications through annotations and simplified packaging. GlassFish version 2 currently provides high performance, clustering, web and RESTful services, and integration with frameworks and tools to simplify development of enterprise Java applications.
Introduction to JPA and Hibernate including examplesecosio GmbH
In this talk, held as part of the Web Engineering lecture series at Vienna University of Technology, we introduce the main concepts of Java Persistence API (JPA) and Hibernate.
The first part of the presentation introduces the main principles of JDBC and outlines the major drawbacks of JDBC-based implementations. We then further outline the fundamental principles behind the concept of object relation mapping (ORM) and finally introduce JPA and Hibernate.
The lecture is accompanied by practical examples, which are available on GitHub.
The document discusses Hibernate, an object-relational mapping tool that transforms data between object representation and relational databases. It describes Hibernate's architecture, important definitions like SessionFactory and Session, configuration options including programmatic and XML configuration, mapping declarations, and persistent classes.
This document provides an overview of Hibernate, an object-relational mapping tool for Java. It begins with a list of topics covered and then defines what Hibernate and JDBC are. It describes the Hibernate architecture including configuration, sessions, and mapping. It also discusses annotations, HQL, caching and batch processing. The document provides details on configuring Hibernate with different databases as well as mapping files and object-relational mappings. It explains the use of annotations, HQL, criteria queries, and native SQL with Hibernate.
Java EE 7 will focus on enabling Java EE applications and services to easily operate in public and private cloud environments. Key areas of focus include improved packaging for cloud deployment, tighter resource management, and potential new APIs for cloud services. Modularity enhancements based on Java SE 8 modules will allow applications to be composed of independent, versioned modules. The first Java EE 7 specifications have already been approved.
The document discusses object-relational mapping and Hibernate. It describes common object-relational mismatches including problems of granularity, subtypes, associations, and data navigation. It then provides an overview of Hibernate and JPA, how to start a Hibernate project, POJOs, Hibernate APIs, configuration, annotations, identifier generators, dynamic SQL generation, immutable entities, property access strategies, generated property values, default property values, entities vs value types, and mapping of collection properties.
The document discusses Java persistence and JPA 2. It introduces entity beans as persistent objects mapped to database tables. An entity bean represents data from a database table as a Java object. The document covers the lifecycle of entity beans, associations between entity beans like one-to-one and many-to-many relationships, and using the entity manager to persist, find, and remove entity beans from the database. It provides examples of entity bean classes annotated with JPA annotations and a persistence configuration file.
Fifty Features of Java EE 7 in 50 Minutesglassfish
This document outlines 50 new features of Java EE 7 presented in 50 minutes. It begins with an overview listing the Java EE 7 specifications that have new features, such as JAX-RS 2.0, JSON-P 1.0, CDI 1.1, Bean Validation 1.1, Interceptors 1.2, Concurrency Utilities 1.0, JPA 2.1, JTA 1.2, and others. It then proceeds to briefly describe 16 new features across these specifications, including default CDI enabling, method validation in Bean Validation, interceptor bindings with priority in Interceptors, managed executors and scheduled executors in Concurrency Utilities, and schema generation and stored procedures in JPA.
GlassFish is the open source application server that implements the Java EE platform, and version 3 will include new features from Java EE 6 like profiles, pruning of older technologies, and improved extensibility and ease of development for web applications through annotations and simplified packaging. GlassFish version 2 currently provides high performance, clustering, web and RESTful services, and integration with frameworks and tools to simplify development of enterprise Java applications.
Introduction to JPA and Hibernate including examplesecosio GmbH
In this talk, held as part of the Web Engineering lecture series at Vienna University of Technology, we introduce the main concepts of Java Persistence API (JPA) and Hibernate.
The first part of the presentation introduces the main principles of JDBC and outlines the major drawbacks of JDBC-based implementations. We then further outline the fundamental principles behind the concept of object relation mapping (ORM) and finally introduce JPA and Hibernate.
The lecture is accompanied by practical examples, which are available on GitHub.
The document discusses Hibernate, an object-relational mapping tool that transforms data between object representation and relational databases. It describes Hibernate's architecture, important definitions like SessionFactory and Session, configuration options including programmatic and XML configuration, mapping declarations, and persistent classes.
This document provides an overview of Hibernate, an object-relational mapping tool for Java. It begins with a list of topics covered and then defines what Hibernate and JDBC are. It describes the Hibernate architecture including configuration, sessions, and mapping. It also discusses annotations, HQL, caching and batch processing. The document provides details on configuring Hibernate with different databases as well as mapping files and object-relational mappings. It explains the use of annotations, HQL, criteria queries, and native SQL with Hibernate.
Java EE 7 will focus on enabling Java EE applications and services to easily operate in public and private cloud environments. Key areas of focus include improved packaging for cloud deployment, tighter resource management, and potential new APIs for cloud services. Modularity enhancements based on Java SE 8 modules will allow applications to be composed of independent, versioned modules. The first Java EE 7 specifications have already been approved.
The document discusses object-relational mapping and Hibernate. It describes common object-relational mismatches including problems of granularity, subtypes, associations, and data navigation. It then provides an overview of Hibernate and JPA, how to start a Hibernate project, POJOs, Hibernate APIs, configuration, annotations, identifier generators, dynamic SQL generation, immutable entities, property access strategies, generated property values, default property values, entities vs value types, and mapping of collection properties.
The document discusses Java persistence and JPA 2. It introduces entity beans as persistent objects mapped to database tables. An entity bean represents data from a database table as a Java object. The document covers the lifecycle of entity beans, associations between entity beans like one-to-one and many-to-many relationships, and using the entity manager to persist, find, and remove entity beans from the database. It provides examples of entity bean classes annotated with JPA annotations and a persistence configuration file.
Fifty Features of Java EE 7 in 50 Minutesglassfish
This document outlines 50 new features of Java EE 7 presented in 50 minutes. It begins with an overview listing the Java EE 7 specifications that have new features, such as JAX-RS 2.0, JSON-P 1.0, CDI 1.1, Bean Validation 1.1, Interceptors 1.2, Concurrency Utilities 1.0, JPA 2.1, JTA 1.2, and others. It then proceeds to briefly describe 16 new features across these specifications, including default CDI enabling, method validation in Bean Validation, interceptor bindings with priority in Interceptors, managed executors and scheduled executors in Concurrency Utilities, and schema generation and stored procedures in JPA.
Hibernate is an object-relational mapping tool for Java that allows developers to persist Java objects to a relational database in a transparent way. It provides transparent persistence without needing to flatten objects or write database specific code. Hibernate uses an object-oriented query language that closely resembles SQL to retrieve and manipulate persisted objects.
Java Hibernate Programming with Architecture Diagram and Examplekamal kotecha
Java Hibernate Introduction, Architecture and Example with step by step guidance to run the program especially for students and teachers.
Learn More @ http://java2all.com/technology/hibernate
The document discusses using annotations in Java, providing examples of annotations for servlets, EJBs, web services, CDI, and using frameworks like JUnit, Spring, Javassist, and ASM. It presents code samples to define servlets, session beans, RESTful and SOAP web services, and component injection using annotations instead of XML configurations. The document also demonstrates how to programmatically read annotation values and metadata using reflection, Javassist, and ASM.
JPA and Hibernate are specifications and frameworks for object-relational mapping (ORM) in Java. JPA is a specification for ORM that is vendor-neutral, while Hibernate is an open-source implementation of JPA. Both use annotations to map Java classes to database tables. JPA queries use JPAQL while Hibernate supports both JPAQL and its own HQL. Additional features covered include relationships, inheritance mapping strategies, custom types, and querying.
The document provides an overview of the DataFX framework, which facilitates data retrieval and rendering in JavaFX applications. It discusses how DataFX allows developers to focus on application logic by abstracting away things like data sources, conversion, and threading. Key aspects covered include DataSources and Readers for retrieving data from various sources; Converters for transforming data formats; DataProviders for populating Observable data in JavaFX; controller APIs for building views; and Flow APIs for linking views and handling user actions. The goal of DataFX is to simplify common tasks in building enterprise JavaFX applications that interact with real-world services and data.
The document discusses the Data Access Object (DAO) pattern in J2EE applications. The DAO pattern separates business logic from data access logic. A DAO provides a common interface to access a data source. The DAO encapsulates data source access and manages data transfer objects (DTOs) that are used to exchange data between business objects and the DAO. Sample code illustrates a DAO interface, implementation, DTO, and client using the DAO to access inventory data without coupling to the specific data source implementation.
The document provides an agenda and overview of Hibernate, an object-relational mapping tool. It discusses problems with traditional programming to relational databases and EJB2 persistence. Hibernate is presented as a solution that allows working with objects instead of tables and provides object querying, associations, inheritance mapping, and transactions. The document outlines Hibernate's mapping strategies, basic operations, querying methods like HQL and criteria, and alternatives like TopLink and iBatis.
This document provides an overview of the Java Persistence API (JPA) which allows Java developers to manage relational data. It describes key concepts like entities, the entity manager, persistence contexts, and configuration files. Entities represent tables in a database and are annotated with @Entity. The entity manager performs CRUD operations and finds entities. Persistence contexts contain managed entity instances for a particular datastore.
Java EE (Java Platform, Enterprise Edition) is a set of specifications that provide functionality for developing multi-tiered, scalable, secure, and robust server-side applications. It extends the Java SE platform by providing APIs for common enterprise features like web services, transactions, security, and more. Java EE applications are hosted on Java EE servers, which provide runtime environments called containers that implement the Java EE specifications and provide services to applications. Common Java EE servers include GlassFish, JBoss, and WebLogic.
The document discusses the Java Persistence API (JPA) and Hibernate framework. It provides an overview of JPA's main features, the five steps to implement JPA using Hibernate, and the components that make up Hibernate.
The document provides an overview of the Java Persistence API (JPA). It describes JPA as an API for managing Plain Old Java Objects (POJOs) and mapping their state and relationships to a relational database. It discusses key JPA concepts like entities, the entity manager, queries, object-relational mapping, and common annotations.
The document discusses Java Persistence API (JPA) and Hibernate, which are frameworks that help map objects to relational databases and resolve the impedance mismatch between object-oriented and relational models. JPA is a specification that providers like Hibernate implement. Hibernate is an object/relational mapping tool that provides object/relational mapping, object/relational persistence services, and query capabilities. It generates database schemas from object models and vice versa. The document also provides examples of performing basic CRUD operations using JPA and SQL.
Hibernate inheritance and relational mappings with examplesEr. Gaurav Kumar
Topics included in presentation:
1. Hibernate mappings.
2. Type of mappings(Bidirectional and Unidirectional)
a. One to Many
b. One to one
c. Many to many
3. Inheritance in Hibernate
a. table per class hierarchy
b. table per subclass
c. table per concrete class
A hibernate tutorial for beginners. It describe the hibernate concepts in a lucid manner and and test project(User application with database) to get hands on over the same.
The document discusses using Hibernate, an object-relational mapping framework, to provide object persistence and retrieval by mapping Java objects to database tables. It explains what Hibernate does, its features like object-relational mapping and transaction management, and provides examples of persisting and retrieving objects using Hibernate's API. The document also shows how to configure a Hibernate project and map classes and associations between objects and database tables.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
JPA is a specification that defines a standard for object/relational persistence and object queries with Java. It allows developers to work with objects in Java code while the JPA implementation handles persistence to a relational database. Key aspects include entity objects that represent data, the EntityManager for CRUD operations, and JPQL for object-oriented queries. JPA supports both container-managed and resource-local transactions.
Java Web Programming [3/9] : Servlet AdvancedIMC Institute
This document provides an overview of servlet advanced topics including including, forwarding to, and redirecting to other web resources. It discusses servlet and JDBC integration including using prepared statements and callable statements. It also covers session tracking APIs and how they can be used to maintain state across HTTP requests through different mechanisms like cookies or URL rewriting. Finally, it briefly introduces servlet scopes, listeners, and filters.
Boost Development With Java EE7 On EAP7 (Demitris Andreadis)Red Hat Developers
JBoss EAP7 brings support for the most recent industry standards and technologies, including Java EE7, the latest edition of the premier enterprise development standard. This session will provide an overview of the major additions to Java EE7, and how your team can use these capabilities on the advanced EAP7 runtime to produce better applications with less code.
Slice: OpenJPA for Distributed PersistencePinaki Poddar
The document discusses Slice, an OpenJPA module that allows JPA applications to use distributed, horizontally partitioned databases in a transparent manner. It describes how Slice works under the hood to enable features like parallel query execution across database partitions, replication of master data, and distribution policies to determine which partition a given object is stored in. The document provides examples of configuring Slice and developing distribution policies.
Hibernate is an object-relational mapping tool for Java that allows developers to persist Java objects to a relational database in a transparent way. It provides transparent persistence without needing to flatten objects or write database specific code. Hibernate uses an object-oriented query language that closely resembles SQL to retrieve and manipulate persisted objects.
Java Hibernate Programming with Architecture Diagram and Examplekamal kotecha
Java Hibernate Introduction, Architecture and Example with step by step guidance to run the program especially for students and teachers.
Learn More @ http://java2all.com/technology/hibernate
The document discusses using annotations in Java, providing examples of annotations for servlets, EJBs, web services, CDI, and using frameworks like JUnit, Spring, Javassist, and ASM. It presents code samples to define servlets, session beans, RESTful and SOAP web services, and component injection using annotations instead of XML configurations. The document also demonstrates how to programmatically read annotation values and metadata using reflection, Javassist, and ASM.
JPA and Hibernate are specifications and frameworks for object-relational mapping (ORM) in Java. JPA is a specification for ORM that is vendor-neutral, while Hibernate is an open-source implementation of JPA. Both use annotations to map Java classes to database tables. JPA queries use JPAQL while Hibernate supports both JPAQL and its own HQL. Additional features covered include relationships, inheritance mapping strategies, custom types, and querying.
The document provides an overview of the DataFX framework, which facilitates data retrieval and rendering in JavaFX applications. It discusses how DataFX allows developers to focus on application logic by abstracting away things like data sources, conversion, and threading. Key aspects covered include DataSources and Readers for retrieving data from various sources; Converters for transforming data formats; DataProviders for populating Observable data in JavaFX; controller APIs for building views; and Flow APIs for linking views and handling user actions. The goal of DataFX is to simplify common tasks in building enterprise JavaFX applications that interact with real-world services and data.
The document discusses the Data Access Object (DAO) pattern in J2EE applications. The DAO pattern separates business logic from data access logic. A DAO provides a common interface to access a data source. The DAO encapsulates data source access and manages data transfer objects (DTOs) that are used to exchange data between business objects and the DAO. Sample code illustrates a DAO interface, implementation, DTO, and client using the DAO to access inventory data without coupling to the specific data source implementation.
The document provides an agenda and overview of Hibernate, an object-relational mapping tool. It discusses problems with traditional programming to relational databases and EJB2 persistence. Hibernate is presented as a solution that allows working with objects instead of tables and provides object querying, associations, inheritance mapping, and transactions. The document outlines Hibernate's mapping strategies, basic operations, querying methods like HQL and criteria, and alternatives like TopLink and iBatis.
This document provides an overview of the Java Persistence API (JPA) which allows Java developers to manage relational data. It describes key concepts like entities, the entity manager, persistence contexts, and configuration files. Entities represent tables in a database and are annotated with @Entity. The entity manager performs CRUD operations and finds entities. Persistence contexts contain managed entity instances for a particular datastore.
Java EE (Java Platform, Enterprise Edition) is a set of specifications that provide functionality for developing multi-tiered, scalable, secure, and robust server-side applications. It extends the Java SE platform by providing APIs for common enterprise features like web services, transactions, security, and more. Java EE applications are hosted on Java EE servers, which provide runtime environments called containers that implement the Java EE specifications and provide services to applications. Common Java EE servers include GlassFish, JBoss, and WebLogic.
The document discusses the Java Persistence API (JPA) and Hibernate framework. It provides an overview of JPA's main features, the five steps to implement JPA using Hibernate, and the components that make up Hibernate.
The document provides an overview of the Java Persistence API (JPA). It describes JPA as an API for managing Plain Old Java Objects (POJOs) and mapping their state and relationships to a relational database. It discusses key JPA concepts like entities, the entity manager, queries, object-relational mapping, and common annotations.
The document discusses Java Persistence API (JPA) and Hibernate, which are frameworks that help map objects to relational databases and resolve the impedance mismatch between object-oriented and relational models. JPA is a specification that providers like Hibernate implement. Hibernate is an object/relational mapping tool that provides object/relational mapping, object/relational persistence services, and query capabilities. It generates database schemas from object models and vice versa. The document also provides examples of performing basic CRUD operations using JPA and SQL.
Hibernate inheritance and relational mappings with examplesEr. Gaurav Kumar
Topics included in presentation:
1. Hibernate mappings.
2. Type of mappings(Bidirectional and Unidirectional)
a. One to Many
b. One to one
c. Many to many
3. Inheritance in Hibernate
a. table per class hierarchy
b. table per subclass
c. table per concrete class
A hibernate tutorial for beginners. It describe the hibernate concepts in a lucid manner and and test project(User application with database) to get hands on over the same.
The document discusses using Hibernate, an object-relational mapping framework, to provide object persistence and retrieval by mapping Java objects to database tables. It explains what Hibernate does, its features like object-relational mapping and transaction management, and provides examples of persisting and retrieving objects using Hibernate's API. The document also shows how to configure a Hibernate project and map classes and associations between objects and database tables.
Hibernate is an object-relational mapping tool that allows developers to more easily write applications that interact with relational databases. It does this by allowing developers to map Java classes to database tables and columns, so that developers can interact with data through Java objects rather than directly with SQL statements. Hibernate handles the conversion between Java objects and database rows behind the scenes. Some key benefits of using Hibernate include faster data retrieval, avoiding manual database connection management, and easier handling of database schema changes.
JPA is a specification that defines a standard for object/relational persistence and object queries with Java. It allows developers to work with objects in Java code while the JPA implementation handles persistence to a relational database. Key aspects include entity objects that represent data, the EntityManager for CRUD operations, and JPQL for object-oriented queries. JPA supports both container-managed and resource-local transactions.
Java Web Programming [3/9] : Servlet AdvancedIMC Institute
This document provides an overview of servlet advanced topics including including, forwarding to, and redirecting to other web resources. It discusses servlet and JDBC integration including using prepared statements and callable statements. It also covers session tracking APIs and how they can be used to maintain state across HTTP requests through different mechanisms like cookies or URL rewriting. Finally, it briefly introduces servlet scopes, listeners, and filters.
Boost Development With Java EE7 On EAP7 (Demitris Andreadis)Red Hat Developers
JBoss EAP7 brings support for the most recent industry standards and technologies, including Java EE7, the latest edition of the premier enterprise development standard. This session will provide an overview of the major additions to Java EE7, and how your team can use these capabilities on the advanced EAP7 runtime to produce better applications with less code.
Slice: OpenJPA for Distributed PersistencePinaki Poddar
The document discusses Slice, an OpenJPA module that allows JPA applications to use distributed, horizontally partitioned databases in a transparent manner. It describes how Slice works under the hood to enable features like parallel query execution across database partitions, replication of master data, and distribution policies to determine which partition a given object is stored in. The document provides examples of configuring Slice and developing distribution policies.
Carol McDonald discusses the key themes and technologies in Java EE 6, which was released on December 10, 2009. The major themes of Java EE 6 are right-sizing with modular profiles, extensibility through pluggability, and ease of development through features like dependency injection and managed beans. New and updated specifications in Java EE 6 include CDI 1.0, EJB 3.1, JPA 2.0, JSF 2.0, JAX-RS 1.1, and Servlet 3.0.
The document discusses Java EE 6 and the Spring Framework. It provides an overview of the evolution of both technologies and compares their features side-by-side. The document discusses how Java EE 6 and Spring can coexist and be integrated, with options ranging from pure Java EE 6 to pure Spring, with various hybrid approaches in between. It notes that there is no need to choose one over the other, as balanced competition is good, and the technologies integrate well.
The document provides an overview of new features in Java EE 7 including concurrency utilities, batch processing APIs, web profile enhancements, bean validation improvements, JSON processing support, WebSocket support, JPA changes, Servlet updates, and EJB modifications. It also discusses potential areas of focus for Java EE 8.
This document discusses the evolution of Java, including new features introduced in Java 5, 6, and 7. It provides a review of 10 key features in Java 5 such as generics, autoboxing/unboxing, annotations, and new utility classes. It then describes 9 new features in Java 6, including pluggable annotation processing, common annotations, JAXB, JAX-WS, StAX, digital signatures, and the compiler API. Finally, it briefly mentions new features planned for Java 7.
This document provides an overview of Spring and Spring Boot frameworks. It discusses the history of Java and Spring, how Spring provides inversion of control and dependency injection. It also covers Spring MVC for web applications, Spring Data for data access, and how Spring Boot aims to simplify configuration. The document concludes with discussing some next steps including looking at Spring Security, Spring Cloud, and using Spring with other JVM languages.
Java EE 7 includes updates to JavaServer Faces, Java Persistence API, Contexts and Dependency Injection, and other technologies. Key changes include Faces Flows in JSF 2.2 for navigation between views, enhancements to JPQL and Criteria queries in JPA 2.1, global configuration of interceptors and decorators in CDI 1.1, and the addition of the @TransactionScoped context and @Transactional interceptor. The reference implementation is GlassFish 4 and WildFly 8 also supports the new Java EE 7 features.
This document summarizes new features in JDK 7 including updates to XML stack, JDBC, RowSet, class loading, JVM performance improvements, garbage collection, I/O, graphics APIs, collections, and strict class file checking. It also previews planned features for JDK 8 such as support for modular programming, annotations, collections improvements, lambda expressions, and modularization.
Java 7 and 8, what does it mean for youDmitry Buzdin
Java 7 and 8 introduced several new features and enhancements including Project Coin language changes to simplify coding, invokedynamic support for dynamic languages, try-with-resources for improved resource management, and improved concurrency utilities. Oracle's priorities for Java include supporting a vibrant ecosystem, generating revenue through Java support and management tools from JRockit, and lowering costs by converging JRockit and HotSpot features in future versions.
Spring Data Requery is alternatives of Spring Data JPA
Requery is lightweight ORM for DBMS (MySQL, PostgreSQL, H2, SQLite, Oracle, SQL Server)
Spring Data Requery provide Query By Native Query, Query By Example and Query By Property like Spring Data JPA
Spring Data Requery is better performance than JPA
Java EE 6 workshop at Dallas Tech Fest 2011Arun Gupta
The document outlines the key features and capabilities of Java EE 6, which aims to provide more power to developers with less code. It discusses various Java EE 6 technologies like EJB 3.1, CDI, JPA 2.0, JSF 2.0, JAX-RS and how they simplify development. It also previews GlassFish 3.1, the reference implementation of Java EE 6 and talks about the next steps in the evolution of Java EE.
This document compares several Java JSON parsers based on various criteria. It provides an overview of JSON and the Java APIs for processing JSON (JSR 339 and JSR 353). It then evaluates parsers like Jackson, Google GSON, javax.json and others based on criteria like community activity, performance, API features, dependencies and license. The conclusion is that Google GSON is best for small data and Jackson for large data according to previous benchmarks. It asks which parser may be best for RAM-constrained or IoT applications.
The document discusses Java EE 7 and its new features. It provides an overview of APIs added in Java EE 7 like JMS 2, batch processing, bean validation 1.1, JAX-RS 2, JSON processing, and concurrency utilities. The document also mentions some planned features for Java EE 8 like JSON-B, JCache, CDI 2.0 and highlights resources for learning more about Java EE.
The document summarizes what's new and noteworthy in Java EE 8, including updates to CDI 2.0, Bean Validation 2.0, JPA 2.2, JSF 2.3, JSON-B 1.0, Servlet 4.0, JAX-RS 2.1, and odds and ends like JSON-P and the Java EE Security API. It also discusses the status of Java EE 8 implementations from GlassFish, Payara, and Open Liberty, as well as the future of Java EE.
This document provides an overview of JPA 2.0 in Java EE 6. It discusses the basics of JPA including what JPA is, its architecture and features. It covers entity mapping using annotations like @Entity, @Id and @Table. Relationship mappings for one-to-one, one-to-many and many-to-many are explained. The document also discusses querying in JPA using JPQL, named queries and native SQL. It provides examples of mapping entity attributes, relationships and inheritance as well as examples of different types of queries.
The Java EE 7 Platform: Productivity & HTML5 at San Francisco JUGArun Gupta
The document discusses Java API for RESTful Web Services 2.0 (JAX-RS 2.0) and some of its key features. It highlights improvements to the client API that make REST client development easier and more dynamic. It also discusses the addition of message filters and entity interceptors that allow processing of requests and responses. Finally, it shows how filters and interceptors can be used on both the client- and server-sides.
This document provides an overview and introduction to using Java Persistence API (JPA) for data access. It discusses key aspects of JPA including object-relational mapping, typical development approaches, and using JPA within Java EE and EJB containers. The next session will cover integrating Coherence distributed caching with JPA.
Happy Java SE 8 was released! But for the Java EE?
This materials shows the current status of EE 6/7 with SE 8, and some limitation in current EE 7 app servers with 8.
This session materials is for the Japan Java Users Group (JJUG) CCC 2014 Spring session. #jjgc_ccc #ccc_r11
Similar to JUG Berlin Brandenburg: What's new in Java EE 7? (20)
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Best 20 SEO Techniques To Improve Website Visibility In SERP
JUG Berlin Brandenburg: What's new in Java EE 7?
1. What's new in Java EE 7?
Java User Group Berlin Brandenburg
04.12.2013
Dirk Weil, GEDOPLAN GmbH
2. Dirk Weil
CEO of GEDOPLAN GmbH, Bielefeld, Germany
Java EE since 1998
Conceptual design
and implementation
Talks
Training
Books & articles
Power Workshop Java EE 7
2
4. Java EE-related
Specs in Java SE
Management
and Security
Technologies
Web Services
Technologies
Enterprise Application Technologies
Web Application
Technologies
Java EE
Platform
Java EE 7
What's new in Java EE 7?
Specification
Java Platform, Enterprise Edition 7
Java API for WebSocket
Java API for JSON Processing
Java Servlet 3.1
JavaServer Faces 2.2
Expression Language 3.0
JavaServer Pages 2.3
Standard Tag Library for JavaServer Pages 1.2
Batch Applications for the Java Platform
Concurrency Utilities for Java EE 1.0
Contexts and Dependency Injection for Java 1.1
Dependency Injection for Java 1.0
Bean Validation 1.1
Enterprise JavaBeans 3.2
Interceptors 1.2
Java EE Connector Architecture 1.7
Java Persistence 2.1
Common Annotations for the Java Platform 1.2
Java Message Service API 2.0
Java Transaction API 1.2
JavaMail 1.5
Java API for RESTful Web Services 2.0
Implementing Enterprise Web Services 1.3
Java API for XML-Based Web Services 2.2
Web Services Metadata for the Java Platform
Java API for XML-Based RPC 1.1 (Optional)
Java APIs for XML Messaging 1.3
Java API for XML Registries 1.0
Java Authentication Service Provider Interface for Containers 1.1
Java Authorization Contract for Containers 1.5
Java EE Application Deployment 1.2 (Optional)
J2EE Management 1.1
Debugging Support for Other Languages 1.0
Java Architecture for XML Binding 2.2
Java API for XML Processing 1.3
Java Database Connectivity 4.0
Java Management Extensions 2.0
JavaBeans Activation Framework 1.1
Streaming API for XML 1.0
Web Profile?
Java EE JSR 342
JSR 356
JSR 353
JSR 340
JSR 344
JSR 341
JSR 245
JSR 52
JSR 352
JSR 236
CDI
JSR 346
JSR 330
BV
JSR 349
EJB
JSR 345
JSR 318
JCA
JSR 322
JPA
JSR 338
JSR 250
JMS
JSR 343
JTA
JSR 907
Mail
JSR 919
JAX-RS JSR 339
JSR 109
JAX-WS JSR 224
JSR 181
JAX-RPC JSR 101
JSR 67
JAXR
JSR 93
JSR 196
JACC
JSR 115
JSR 88
JSR 77
JSR 45
JAXB
JSR 222
JAXP
JSR 206
JDBC
JSR 221
JMX
JSR 003
JAF
JSR 925
StAX
JSR 173
JSON-P
Servlet
JSF
EL
JSP
JSTL
Batch
JSF 2.2
CDI 1.1
JPA 2.1
JAX-RS 2.0
4
5. JavaServer Faces 2.2
Big Ticket Features
Faces Flows
Resource Library Contracts
HTML 5 Friendly Markup
Stateless Views
Several minor enhancements
What's new in Java EE 7?
5
6. JSF 2.2: Faces Flows
Combination of various views
Internal navigation
Dedicated entry and return views
"Subroutine"
Embeddable
Flow scoped values
and beans
What's new in Java EE 7?
6
7. JSF 2.2: Faces Flows
Various flow definitions
Simple, directory-based
Flow descriptor
CDI Producer
Location
Web app root
Library JAR
META-INF/flows
What's new in Java EE 7?
7
8. JSF 2.2: Resource Library Contracts
Encapsulation of templates, images, CSS, JS
Subdirectory of
WebappRoot/contracts
Library JAR
META-INF/contracts
What's new in Java EE 7?
8
10. JSF 2.2: HTML 5 Friendly Markup
Passthrough elements:
Use HTML 5 tags with JSF attributes
<input jsf:id="email" jsf:value="#{demoModel.email}“
type="email" name="email" size="40" required="required"/>
Passthrough attributes:
Use JSF tags with HTML 5 attributes
<h:inputText id="nights" value="#{demoModel.nights}" >
<f:passThroughAttribute name="type" value="number" />
<f:passThroughAttribute name="size" value="40" />
</h:inputText>
What's new in Java EE 7?
10
11. JSF 2.2: More Changes
Stateless Views
<f:view transient="true">
UIData supports Collection
@ViewScoped
javax.faces.bean deprecated in next version
(@ManagedBean etc.)
What's new in Java EE 7?
11
12. Java Persistence API 2.1
Converter
JPQL & Criteria Query Enhancements
CDI Injection in Entity Listener
DDL Handling
Entity Graphs
What's new in Java EE 7?
12
13. JPA 2.1: Converter
@Convert
Explicit type / value mapping
replaces „User Types“ etc.
generalizes @Enumerated, @Temporal
@Entity
public class Country
{
@Convert(converter = YesNoConverter.class)
private boolean expired;
What's new in Java EE 7?
13
14. JPA 2.1: Converter
@Converter
declares converter
can be auto-applied (autoApply = true)
@Converter
public class YesNoConverter implements AttributeConverter<Boolean, String> {
public String convertToDatabaseColumn(Boolean fieldValue) {
if (fieldValue == null) return null;
return fieldValue ? "Y" : "N";
}
public Boolean convertToEntityAttribute(String columnValue) {
if (columnValue == null) return null;
return columnValue.equals("Y");
What's new in Java EE 7?
14
15. JPA 2.1: JPQL & Criteria Query Enhancements
ON: Join filter
select p.name, count(b)
from Publisher p
left join p.books b
on b.bookType = BookType.PAPERBACK
group by p.name
TREAT: Downcast (includes filter)
select s from StorageLocation s
where treat(s.product as Book).bookType = BookType.HARDCOVER
FUNCTION: Call DB function
select c from Customer c
where function('hasGoodCredit', c.balance, c.creditLimit)
What's new in Java EE 7?
15
16. JPA 2.1: JPQL & Criteria Query Enhancements
Bulk Update/Delete for Criteria Query
CriteriaUpdate<Product> criteriaUpdate
= criteriaBuilder.createCriteriaUpdate(Product.class);
Root<Product> p = criteriaUpdate.from(Product.class);
Path<Number> price = p.get(Product_.price);
criteriaUpdate.set(price, criteriaBuilder.prod(price, 1.03));
entityManager.createQuery(criteriaUpdate).executeUpdate();
Stored Procedure Queries
StoredProcedureQuery query
= entityManager.createStoredProcedureQuery("findMissingProducts");
What's new in Java EE 7?
16
17. JPA 2.1: CDI Injection in Entity Listener
public class CountryListener {
@Inject
private AuditService auditService;
@PreUpdate
public void preUpdate(Object entity) {
this.auditService.logUpdate(entity);
}
@Entity
@EntityListeners(CountryListener.class)
public class Country {
What's new in Java EE 7?
17
18. JPA 2.1: DDL Handling
Create and/or drop db tables
Based on entity meta data (mapping)
SQL script
Data load script
<persistence … >
<persistence-unit name="test">
…
<properties>
<property name="javax.persistence.schema-generation.database.action"
value="drop-and-create" />
<property name="javax.persistence.schema-generation.create-script-source"
value="META-INF/create.sql" />
<property name="javax.persistence.schema-generation.create-source"
value="metadata-then-script" />
<property name="javax.persistence.sql-load-script-source"
value="META-INF/sqlLoad.sql" />
What's new in Java EE 7?
18
19. JPA 2.1: DDL Handling
Write create and/or drop scripts
Writer createWriter = …; // File, String …
Map<String, Object> properties = new HashMap<>();
properties.put("javax.persistence.schema-generation.scripts.action",
"create");
properties.put("javax.persistence.schema-generation.scripts.create-target",
createWriter);
Persistence.generateSchema("test", properties);
What's new in Java EE 7?
19
20. JPA 2.1: Entity Graphs
Declaration of lazy attributes to be loaded
@Entity
@NamedEntityGraph(name = "Publisher_books",
attributeNodes = @NamedAttributeNode(value = "books")))
public class Publisher
{
…
@OneToMany(mappedBy = "publisher", fetch = FetchType.LAZY)
private List<Book> books;
find parameter or query hint
fetchgraph: Fetch entity graph attributes only
loadgraph: Fetch eager attributes also
TypedQuery<Publisher> query = entityManager.createQuery(…);
query.setHint("javax.persistence.fetchgraph", "Publisher_books");
What's new in Java EE 7?
20
21. CDI 1.1
Enhanced bean discovery
Global enablement of interceptors, decorators, alternatives
Constructor interception
Transaction support
Validation for parameters and return values
What's new in Java EE 7?
21
22. CDI 1.1: Bean Discovery
Discovery mode: all, annotated, none
Exclusion filter: Class or package
<beans … bean-discovery-mode="all" version="1.1">
<scan>
<exclude name="de.gedoplan.….sub1.beans.DiscoverableBean12"/>
<exclude name="de.gedoplan.….sub1.beans.excluded.**"/>
<exclude name="de.gedoplan.….dummy.**">
<if-system-property name="NO_DUMMY" value="true" />
</exclude>
</scan>
</beans>
What's new in Java EE 7?
22
23. CDI 1.1: Global Enablement of Interceptors etc.
@Priority
Interceptors & decorators
global enablement
Order
@TraceCall
@Interceptor
@Priority(Interceptor.Priority.APPLICATION + 1)
public class TraceCallInterceptor
{
Alternatives
Global activation of alternative with highest priority
What's new in Java EE 7?
23
24. CDI 1.1: Constructor Interception
@TraceCall @Interceptor @Priority(…)
public class TraceCallInterceptor
{
@AroundConstruct
public Object traceConstructorCall(InvocationContext ic)
throws Exception
{
…
}
@AroundInvoke
public Object traceMethodCall(InvocationContext ic)
throws Exception
{
…
}
What's new in Java EE 7?
24
25. CDI 1.1: Transaction Support
Platform global transaction interceptor @Transactional
TX modes like EJB TX attributes
@Transactional(value = TxType.REQUIRED,
dontRollbackOn={HarmlessException.class})
public void insert(Cocktail cocktail)
{
CDI scope @TransactionScoped
What's new in Java EE 7?
25
26. CDI 1.1: Bean Validation for Parameters and Return Values
@NotNull
public List<Questionnaire> createPoll(@Min(10) int
{
What's new in Java EE 7?
size)
26
27. Restful Webservices (JAX-RS)
Out-of-the-Box
JSON Support
@Path("country")
@Produces(MediaType.APPLICATION_JSON)
public class CountryResource
{
@GET
public List<Country> getAll()
{
…
Client API
Client client = ClientBuilder.newClient();
WebTarget target = client.target(“http://.../country/DE");
Country country = target.request(MediaType.APPLICATION_XML)
.get(Country.class);
What's new in Java EE 7?
27