This document summarizes the agenda and details of the Belfast Java User Group meeting on October 23rd, 2013. The meeting will include introductions to the Belfast JUG, an overview of what a JUG is and how to get involved. There will also be presentations on keynotes from JavaOne and 20+ new features in JEE7. Attendees are encouraged to contribute ideas and get involved in the leadership team.
The document provides an introduction to the Java Server Pages Tag Library (JSTL), outlining its advantages of avoiding conflicts between jar versions and easing page development, and describing how to install and use its core, XML, SQL, and functions tags to output, access, and manipulate data in JSP pages through tag libraries and handlers. It also discusses using expression language for data access and implicit objects, and developing custom functions to extend JSTL's capabilities.
The document discusses the JavaServer Pages Standard Tag Library (JSTL), including what it is, the tag libraries it contains, and how to use its tags for common tasks like conditional processing, iteration, and formatting. It provides an overview of many core JSTL tags and their usage, and explains how to include the JSTL library in a Java web project to begin using its tags.
Implementing java server pages standard tag library v2Soujanya V
This document provides an overview of implementing the Java Server Pages Standard Tag Library (JSTL). It discusses how JSTL addresses issues with scriptlet tags and custom tags, such as readability and maintainability. The core features and tag libraries of JSTL are described, including conditional processing, internationalization, SQL, and functions. Instructions are provided on setting up JSTL and including the necessary JAR files. An in-depth explanation is given of the tags in the core tag library for variable support, flow control, iteration, and other functions. Advantages of using JSTL include improved readability, reusability, and reduced scriptlet usage.
JDBC provides a standard library for accessing relational databases. It determines column metadata and handles queries but does not standardize SQL syntax. JDBC consists of an API and driver manager that communicates with vendor-specific drivers. JPA is a standard ORM specification that maps POJOs to database tables and handles synchronization, transactions, and performance. It defines entity classes, entity managers, and persistence units configured in persistence.xml.
JAXB (Java Architecture for XML Binding) is a Java framework that allows for bi-directional data binding between XML documents and XML data to Java objects. It provides an easier way to work with XML compared to DOM and SAX by mapping XML schema to Java classes and binding XML elements/attributes to class properties. The major steps in the JAXB process are generating Java classes from an XML schema, unmarshalling XML documents into Java objects, processing/modifying the objects, and marshalling the objects back into XML documents.
The document discusses strategies for loading data in JPA, specifically lazy vs eager loading. It provides examples of when each strategy would be preferred, noting that eager loading is generally better for loading a small amount of related data to avoid additional database queries, while lazy loading is preferred when the related data is large or its needed fields are unknown. It also discusses using lazy loading for large objects like blobs and clobs.
Java ain't scary - introducing Java to PL/SQL DevelopersLucas Jellema
This document provides an introduction to Java for PL/SQL programmers. It begins with a Hello World example in both PL/SQL and Java. It then discusses key concepts such as the Java Virtual Machine (JVM) and how Java code is compiled and executed. The document demonstrates language basics like methods, variables, loops, and exceptions. It also introduces object-oriented concepts like classes and objects. The goal is to help PL/SQL programmers get comfortable with the Java language and environment at a high level.
The document provides an introduction to the Java Server Pages Tag Library (JSTL), outlining its advantages of avoiding conflicts between jar versions and easing page development, and describing how to install and use its core, XML, SQL, and functions tags to output, access, and manipulate data in JSP pages through tag libraries and handlers. It also discusses using expression language for data access and implicit objects, and developing custom functions to extend JSTL's capabilities.
The document discusses the JavaServer Pages Standard Tag Library (JSTL), including what it is, the tag libraries it contains, and how to use its tags for common tasks like conditional processing, iteration, and formatting. It provides an overview of many core JSTL tags and their usage, and explains how to include the JSTL library in a Java web project to begin using its tags.
Implementing java server pages standard tag library v2Soujanya V
This document provides an overview of implementing the Java Server Pages Standard Tag Library (JSTL). It discusses how JSTL addresses issues with scriptlet tags and custom tags, such as readability and maintainability. The core features and tag libraries of JSTL are described, including conditional processing, internationalization, SQL, and functions. Instructions are provided on setting up JSTL and including the necessary JAR files. An in-depth explanation is given of the tags in the core tag library for variable support, flow control, iteration, and other functions. Advantages of using JSTL include improved readability, reusability, and reduced scriptlet usage.
JDBC provides a standard library for accessing relational databases. It determines column metadata and handles queries but does not standardize SQL syntax. JDBC consists of an API and driver manager that communicates with vendor-specific drivers. JPA is a standard ORM specification that maps POJOs to database tables and handles synchronization, transactions, and performance. It defines entity classes, entity managers, and persistence units configured in persistence.xml.
JAXB (Java Architecture for XML Binding) is a Java framework that allows for bi-directional data binding between XML documents and XML data to Java objects. It provides an easier way to work with XML compared to DOM and SAX by mapping XML schema to Java classes and binding XML elements/attributes to class properties. The major steps in the JAXB process are generating Java classes from an XML schema, unmarshalling XML documents into Java objects, processing/modifying the objects, and marshalling the objects back into XML documents.
The document discusses strategies for loading data in JPA, specifically lazy vs eager loading. It provides examples of when each strategy would be preferred, noting that eager loading is generally better for loading a small amount of related data to avoid additional database queries, while lazy loading is preferred when the related data is large or its needed fields are unknown. It also discusses using lazy loading for large objects like blobs and clobs.
Java ain't scary - introducing Java to PL/SQL DevelopersLucas Jellema
This document provides an introduction to Java for PL/SQL programmers. It begins with a Hello World example in both PL/SQL and Java. It then discusses key concepts such as the Java Virtual Machine (JVM) and how Java code is compiled and executed. The document demonstrates language basics like methods, variables, loops, and exceptions. It also introduces object-oriented concepts like classes and objects. The goal is to help PL/SQL programmers get comfortable with the Java language and environment at a high level.
Best Practices for Interoperable XML Databinding with JAXBMartin Grebac
This document outlines best practices for interoperable XML databinding with JAXB. It discusses the limitations of common XML databinding frameworks and the W3C approach. It then presents a common-sense approach that advocates keeping schemas and databinding simple by avoiding complex features and being explicit about data types and mappings. The approach aims to work bidirectionally between Java and XML schemas.
The objective of this tutorial is to demonstrate the steps required to execute an Oracle Stored Procedure with a Nested Table as a parameter from Mule Flow.
The objective of this tutorial is to demonstrate the workaround needed to invoke an Oracle Stored Procedure
from Mule ESB flow by passing Java arrays as parameters.
The use case for this tutorial is a simple one such as inserting student records from a CSV file into an Oracle
database table through a stored procedure where one of the parameters is an array holding the student’s marks.
Welcome to the wonderful world of Java Streams ported for the CFML world!The beauty of streams is that the elements in a stream are processed and passed across the processing pipeline. Unlike traditional CFML functions like map(), reduce() and filter() which create completely new collections until all items in the pipeline are processed. With streams, the elements are streamed across the pipeline to increase efficiency and performance.
Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams ...Raffi Khatchadourian
Streaming APIs are becoming more pervasive in mainstream Object-Oriented programming languages. For example, the Stream API introduced in Java 8 allows for functional-like, MapReduce-style operations in processing both finite and infinite data structures. However, using this API efficiently involves subtle considerations like determining when it is best for stream operations to run in parallel, when running operations in parallel can be less efficient, and when it is safe to run in parallel due to possible lambda expression side-effects. In this paper, we present an automated refactoring approach that assists developers in writing efficient stream code in a semantics-preserving fashion. The approach, based on a novel data ordering and typestate analysis, consists of preconditions for automatically determining when it is safe and possibly advantageous to convert sequential streams to parallel and unorder or de-parallelize already parallel streams. The approach was implemented as a plug-in to the Eclipse IDE, uses the WALA and SAFE analysis frameworks, and was evaluated on 11 Java projects consisting of ∼642K lines of code. We found that 57 of 157 candidate streams (36.31%) were refactorable, and an average speedup of 3.49 on performance tests was observed. The results indicate that the approach is useful in optimizing stream code to their full potential.
This document provides information on creating a 3-tier web application architecture in Eclipse using JSP. It discusses dividing classes into sub-tasks like views, services and database layers. It also covers creating packages, JSP pages, beans, getters/setters, and service layers. The service layer interacts with the database layer using JDBC to perform operations like registration. The presentation layer posts data to JSP pages, which then call the service layer.
Towards Safe Refactoring for Intelligent Parallelization of Java 8 StreamsRaffi Khatchadourian
The Java 8 Stream API sets forth a promising new programming model that incorporates functional-like, MapReduce-style features into a mainstream programming language. However, using streams correctly and efficiently may involve subtle considerations. In this poster, we present our ongoing work and preliminary results towards an automated refactoring approach that assists developers in writing optimal stream code. The approach, based on ordering and typestate analysis, determines when it is safe and advantageous to convert streams to parallel and optimize a parallel streams.
Java 8 introduced many new features including lambda expressions, default methods in interfaces, streams API and date/time API improvements. Lambda expressions allow passing code as data and functional interfaces help utilize lambda expressions. Default methods allow adding new methods to interfaces while maintaining backwards compatibility. The streams API enables functional-style operations on collections through intermediate and terminal operations. The new date/time API in Java 8 addresses shortcomings in previous date/time classes.
The document discusses JavaServer Pages (JSP) technology. It provides details about:
- JSP is a popular server-side scripting language that provides dynamic web content using scripting elements and XML tags.
- Key features of JSP include ease of deployment, support for multithreading, reusable components, and cross-platform support.
- JSP pages are preprocessed into Java servlet classes that can be compiled and executed by the web container.
- JSP supports scripting elements like Java code embedded directly in tags, directives to control page behavior, and actions to convert elements to servlet code.
When changing code in a production database, dependencies between objects can cause programs to become invalid. Remote dependencies between databases are more difficult to manage than local dependencies within a database. This document demonstrates how a change to a package in one database can invalidate a dependent package in another database that connects to it through a database link. Checking dependencies across all involved databases is needed to identify invalidated objects before an application issue occurs.
This document provides an overview of JDBC (Java Database Connectivity) technology. It discusses the basic steps to use JDBC including loading drivers, establishing connections, executing queries, processing results, and closing connections. It also covers JDBC drivers, prepared statements, callable statements, result sets, and using metadata. The goal is to introduce developers to the key concepts and components involved in using JDBC to connect Java applications to databases.
This document provides an overview and demonstrations of data flow transformations in SQL Server Integration Services (SSIS). It begins with a question and answer section and an overview of split and join transformations such as the conditional split, multicast, union all, merge, and lookup transformations. Business intelligence transformations like the slowly changing dimension and term extraction transformations are also covered. The document concludes with demonstrations of the transformations in SSIS packages.
This document discusses using JDBC to access databases from Java applications like JSP pages. It covers loading the appropriate JDBC driver, establishing a connection with the database using a connection URL, executing SQL statements using Statement objects to retrieve and process result sets, and closing the connection when done. The core steps are to load the driver, get a connection, create statements, execute queries/updates, process results, and close the connection.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
JavaCro 2014 Scala and Java EE 7 Development ExperiencesPeter Pilgrim
Scala is an alternative JVM language with both object-oriented and functional programming paradigms. Scala development with the Java EE 7 platform is definitely possible and can be a pleasant experience. If you have uncertainty about how Scala can fit around the Java EE 7 platform, then this session aims to illustrate the huge benefit that Scala adoption can bring to the platform. Many other developers are taking advantage and the challenge of the JVM’s capability of being a vessel for multi-language programming. You no longer have to write every single project using Java, even if you like Lambdas experiences.
For the developer and engineering terms that feeling a little braver than usual, Scala is attractive as it is strongly typed and lets you set the gauge on how object oriented or how functional you want to be. You will learn how to reuse the annotations and creating Scala plain object safely and concisely.
This session will highlight and contrast the experience I had developing Scala solutions with Java EE, and there will be plenty of advice about using the functional programming features against the Java object oriented API.
Scala language overview
Java EE 7 architecture and design
Using Gradle as a build tool
How to create beans in Scala with dependency injection
JAX-RS endpoints
Servlet Endpoints
JMS Messaging
Scala adoption advice and hints for sustainable team development
Introduction to JDBC and database access in web applicationsFulvio Corno
Introduction to the JDBC standard and best practices for database access from Web Applications.
Materiale realizzato per il corso di Sistemi Informativi Aziendali del Politecnico di Torino - http://bit.ly/sistinfo
This document discusses Android automated testing. It defines automated testing as using separate software to control test execution and compare actual vs. expected outcomes. It provides information on different types of Android tests, including local unit tests that run on a machine and instrumentation tests that run on an emulator/device. It also gives tips on testing best practices like using the Arrange-Act-Assert pattern and focusing tests to be fast, isolated, repeatable, and self-validating.
This presentaion provides and overview of the new features of Java 8, namely default methods, functional interfaces, lambdas, method references, streams and Optional vs NullPointerException.
This presentation by Arkadii Tetelman (Lead Software Engineer, GlobalLogic) was delivered at Java.io 3.0 conference in Kharkiv on March 22, 2016.
Java 8 will include many new features including lambdas, default methods on interfaces, and a date/time API. Lambdas allow implementing functional interfaces with expression syntax rather than anonymous classes, and method references allow referring to methods without invoking them. Default methods allow adding new functionality to interfaces without breaking existing implementations. The new date/time API in JSR-310 provides improved date/time handling functionality.
This document discusses OGSA-DAI DQP, which provides distributed query processing capabilities. It describes key components like the logical query plan (LQP), operators, optimisers, and query execution. The LQP is generated from a SQL query's abstract syntax tree and optimized before being partitioned and executed across data resources. Extensibility points allow new operators, optimisers, and functions to be introduced.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
Best Practices for Interoperable XML Databinding with JAXBMartin Grebac
This document outlines best practices for interoperable XML databinding with JAXB. It discusses the limitations of common XML databinding frameworks and the W3C approach. It then presents a common-sense approach that advocates keeping schemas and databinding simple by avoiding complex features and being explicit about data types and mappings. The approach aims to work bidirectionally between Java and XML schemas.
The objective of this tutorial is to demonstrate the steps required to execute an Oracle Stored Procedure with a Nested Table as a parameter from Mule Flow.
The objective of this tutorial is to demonstrate the workaround needed to invoke an Oracle Stored Procedure
from Mule ESB flow by passing Java arrays as parameters.
The use case for this tutorial is a simple one such as inserting student records from a CSV file into an Oracle
database table through a stored procedure where one of the parameters is an array holding the student’s marks.
Welcome to the wonderful world of Java Streams ported for the CFML world!The beauty of streams is that the elements in a stream are processed and passed across the processing pipeline. Unlike traditional CFML functions like map(), reduce() and filter() which create completely new collections until all items in the pipeline are processed. With streams, the elements are streamed across the pipeline to increase efficiency and performance.
Safe Automated Refactoring for Intelligent Parallelization of Java 8 Streams ...Raffi Khatchadourian
Streaming APIs are becoming more pervasive in mainstream Object-Oriented programming languages. For example, the Stream API introduced in Java 8 allows for functional-like, MapReduce-style operations in processing both finite and infinite data structures. However, using this API efficiently involves subtle considerations like determining when it is best for stream operations to run in parallel, when running operations in parallel can be less efficient, and when it is safe to run in parallel due to possible lambda expression side-effects. In this paper, we present an automated refactoring approach that assists developers in writing efficient stream code in a semantics-preserving fashion. The approach, based on a novel data ordering and typestate analysis, consists of preconditions for automatically determining when it is safe and possibly advantageous to convert sequential streams to parallel and unorder or de-parallelize already parallel streams. The approach was implemented as a plug-in to the Eclipse IDE, uses the WALA and SAFE analysis frameworks, and was evaluated on 11 Java projects consisting of ∼642K lines of code. We found that 57 of 157 candidate streams (36.31%) were refactorable, and an average speedup of 3.49 on performance tests was observed. The results indicate that the approach is useful in optimizing stream code to their full potential.
This document provides information on creating a 3-tier web application architecture in Eclipse using JSP. It discusses dividing classes into sub-tasks like views, services and database layers. It also covers creating packages, JSP pages, beans, getters/setters, and service layers. The service layer interacts with the database layer using JDBC to perform operations like registration. The presentation layer posts data to JSP pages, which then call the service layer.
Towards Safe Refactoring for Intelligent Parallelization of Java 8 StreamsRaffi Khatchadourian
The Java 8 Stream API sets forth a promising new programming model that incorporates functional-like, MapReduce-style features into a mainstream programming language. However, using streams correctly and efficiently may involve subtle considerations. In this poster, we present our ongoing work and preliminary results towards an automated refactoring approach that assists developers in writing optimal stream code. The approach, based on ordering and typestate analysis, determines when it is safe and advantageous to convert streams to parallel and optimize a parallel streams.
Java 8 introduced many new features including lambda expressions, default methods in interfaces, streams API and date/time API improvements. Lambda expressions allow passing code as data and functional interfaces help utilize lambda expressions. Default methods allow adding new methods to interfaces while maintaining backwards compatibility. The streams API enables functional-style operations on collections through intermediate and terminal operations. The new date/time API in Java 8 addresses shortcomings in previous date/time classes.
The document discusses JavaServer Pages (JSP) technology. It provides details about:
- JSP is a popular server-side scripting language that provides dynamic web content using scripting elements and XML tags.
- Key features of JSP include ease of deployment, support for multithreading, reusable components, and cross-platform support.
- JSP pages are preprocessed into Java servlet classes that can be compiled and executed by the web container.
- JSP supports scripting elements like Java code embedded directly in tags, directives to control page behavior, and actions to convert elements to servlet code.
When changing code in a production database, dependencies between objects can cause programs to become invalid. Remote dependencies between databases are more difficult to manage than local dependencies within a database. This document demonstrates how a change to a package in one database can invalidate a dependent package in another database that connects to it through a database link. Checking dependencies across all involved databases is needed to identify invalidated objects before an application issue occurs.
This document provides an overview of JDBC (Java Database Connectivity) technology. It discusses the basic steps to use JDBC including loading drivers, establishing connections, executing queries, processing results, and closing connections. It also covers JDBC drivers, prepared statements, callable statements, result sets, and using metadata. The goal is to introduce developers to the key concepts and components involved in using JDBC to connect Java applications to databases.
This document provides an overview and demonstrations of data flow transformations in SQL Server Integration Services (SSIS). It begins with a question and answer section and an overview of split and join transformations such as the conditional split, multicast, union all, merge, and lookup transformations. Business intelligence transformations like the slowly changing dimension and term extraction transformations are also covered. The document concludes with demonstrations of the transformations in SSIS packages.
This document discusses using JDBC to access databases from Java applications like JSP pages. It covers loading the appropriate JDBC driver, establishing a connection with the database using a connection URL, executing SQL statements using Statement objects to retrieve and process result sets, and closing the connection when done. The core steps are to load the driver, get a connection, create statements, execute queries/updates, process results, and close the connection.
A practical guide to using RxJava on Android. Tips for improving your app architecture with reactive programming. What are the advantages and disadvantages of using RxJava over standard architecture? And how to connect with other popular Android libraries?
Presented at Droidcon Greece 2016.
JavaCro 2014 Scala and Java EE 7 Development ExperiencesPeter Pilgrim
Scala is an alternative JVM language with both object-oriented and functional programming paradigms. Scala development with the Java EE 7 platform is definitely possible and can be a pleasant experience. If you have uncertainty about how Scala can fit around the Java EE 7 platform, then this session aims to illustrate the huge benefit that Scala adoption can bring to the platform. Many other developers are taking advantage and the challenge of the JVM’s capability of being a vessel for multi-language programming. You no longer have to write every single project using Java, even if you like Lambdas experiences.
For the developer and engineering terms that feeling a little braver than usual, Scala is attractive as it is strongly typed and lets you set the gauge on how object oriented or how functional you want to be. You will learn how to reuse the annotations and creating Scala plain object safely and concisely.
This session will highlight and contrast the experience I had developing Scala solutions with Java EE, and there will be plenty of advice about using the functional programming features against the Java object oriented API.
Scala language overview
Java EE 7 architecture and design
Using Gradle as a build tool
How to create beans in Scala with dependency injection
JAX-RS endpoints
Servlet Endpoints
JMS Messaging
Scala adoption advice and hints for sustainable team development
Introduction to JDBC and database access in web applicationsFulvio Corno
Introduction to the JDBC standard and best practices for database access from Web Applications.
Materiale realizzato per il corso di Sistemi Informativi Aziendali del Politecnico di Torino - http://bit.ly/sistinfo
This document discusses Android automated testing. It defines automated testing as using separate software to control test execution and compare actual vs. expected outcomes. It provides information on different types of Android tests, including local unit tests that run on a machine and instrumentation tests that run on an emulator/device. It also gives tips on testing best practices like using the Arrange-Act-Assert pattern and focusing tests to be fast, isolated, repeatable, and self-validating.
This presentaion provides and overview of the new features of Java 8, namely default methods, functional interfaces, lambdas, method references, streams and Optional vs NullPointerException.
This presentation by Arkadii Tetelman (Lead Software Engineer, GlobalLogic) was delivered at Java.io 3.0 conference in Kharkiv on March 22, 2016.
Java 8 will include many new features including lambdas, default methods on interfaces, and a date/time API. Lambdas allow implementing functional interfaces with expression syntax rather than anonymous classes, and method references allow referring to methods without invoking them. Default methods allow adding new functionality to interfaces without breaking existing implementations. The new date/time API in JSR-310 provides improved date/time handling functionality.
This document discusses OGSA-DAI DQP, which provides distributed query processing capabilities. It describes key components like the logical query plan (LQP), operators, optimisers, and query execution. The LQP is generated from a SQL query's abstract syntax tree and optimized before being partitioned and executed across data resources. Extensibility points allow new operators, optimisers, and functions to be introduced.
Building Scalable Stateless Applications with RxJavaRick Warren
RxJava is a lightweight open-source library, originally from Netflix, that makes it easy to compose asynchronous data sources and operations. This presentation is a high-level intro to this library and how it can fit into your application.
The document discusses new features in Servlet 3.0 including enhanced annotations for easier configuration of servlets, filters, and listeners. It describes dynamic registration which allows servlets and filters to be added at runtime. Pluggability allows modular web applications through fragments in JAR files. Asynchronous processing enables servlets to wait for long operations without blocking threads. Security annotations define access constraints. The miscellaneous section outlines additional features like session tracking configuration and file upload support.
The document discusses using Java objects to generate JSON. It provides an overview of the steps involved, including setting response headers, getting the Java object result, converting it to a JSONObject using the org.json utilities, and outputting the JSONObject. Code samples are given for a servlet that performs these steps. Specifically, it shows calling a business logic method to get a Java result, converting it to a JSONObject, and printing the JSONObject to the response.
Struts 2 is an open source MVC framework based on Java EE standards. It uses a request-response pipeline where interceptors pre-process and post-process requests. The core components are interceptors, actions, and results. Interceptors provide functionality like validation while actions contain application logic and results define the response. Values are stored and accessed from a value stack using OGNL.
Presentation on the new features introduced in JDK 8, presented on the 26.02.2013 in Sofia University in front of students and members of the Bulgarian java user group.
This document provides an overview of REST and JAX-RS. It defines REST as an architectural style using HTTP for data communication. Key REST fundamentals are discussed such as resources with unique IDs, standard HTTP methods, and hyperlinks to relate resources. The Richardson Maturity Model for REST APIs is introduced with levels ranging from using HTTP as a simple transport to fully leveraging hypermedia. JAX-RS is defined as a Java annotation-based framework for developing RESTful web services, with annotations explained for defining resources, request parameters, responses, and error handling. The document also covers REST concepts like pagination, authentication, and linking resources.
Lambda expressions allow implementing functional interfaces using anonymous functions. Method references provide a shorthand syntax for referring to existing methods as lambda expressions. The Stream API allows functional-style operations on streams of values, including intermediate and terminal operations. The new Date/Time API provides a safer and more comprehensive replacement for the previous date/time classes in Java.
This document provides information about parameterization and lambda expressions in Java. It discusses how parameterization allows functions to be configured through parameters. Lambda expressions are described as anonymous functions that can be passed as arguments or stored in variables. The document outlines the benefits of streams in Java 8 for processing data in a declarative way through composable and parallelizable operations like filter, map, and reduce. It compares streams to collections and explains intermediate and terminal stream operations.
The document discusses Java 8 Streams and provides an overview of key concepts:
- It outlines the agenda which includes an overview of Java 8 features, why streams were introduced, how streams work internally, and a hands-on session.
- Streams were introduced to implement internal iteration for better framework code, provide parallelism support, and make lambda expressions work well with stream operations.
- Streams are lazy and perform computations on demand. They operate on source data and produce pipelined data for operations using functional interfaces.
- The document demonstrates creating and working with streams including intermediate operations like filter, map, and sorted.
JavaEE and RESTful development - WSO2 Colombo Meetup Sagara Gunathunga
This document discusses RESTful development and JavaEE concepts. It begins with an introduction to REST and provides an example to distinguish RESTful and non-RESTful architectures. It then covers JavaEE topics like JAX-RS, dependency injection, and integrating JAX-RS services with JPA DAO services using CDI. The document also describes features of the WSO2 Application Server like multi-tenancy support, multiple classloading runtimes, and monitoring capabilities.
Java 8 includes new features such as lambda expressions for functional programming, streams API for bulk data operations, date and time API improvements, and miscellaneous enhancements. It also removes some deprecated features and improves performance.
The document discusses using JRuby to integrate Ruby and Rails into an existing Java/Spring application. It describes using JRuby, Warbler, Rack, and Rails to refactor the application in stages from small changes like adding tests and routing, to medium changes like layering on Rails, to a large refactor of the directory structure and bootstrapping Rails within the Spring context.
Reactive Extensions (Rx) is a library for composing asynchronous and event-based programs using Observable sequences. RxJava implements Rx for the Java VM. Key advantages include simplifying async operations, surfacing errors sooner, and reducing state bugs. The API has a large surface area, so the learning curve is steep. RxJava 2 is recommended over 1 due to better performance, lower memory usage, and other improvements. Observables push data to Observers via onNext, onError, onCompleted calls. Common operators like map, flatMap, filter transform and combine Observable streams. Multithreading uses Schedulers. Unit testing uses TestSubscriber to make assertions.
Adding a modern twist to legacy web applicationsJeff Durta
Avoid misery of working with legacy code
We will see how you can add independent and isolated components to existing pages; pages that may be difficult to change
React and Flux allow you to make self-contained additions that handle their own data access/persistence
Its an distributed enviornment for developing the enterprise application.We can develop multi-tier,three-tier or n-tier architecture using this.In this Java Server Pages and Servlet is the important things
OSGi ecosystems compared on Apache Karaf - Christian Schneidermfrancis
OSGi Community Event 2015
A look at three competing OSGi ecosystems (Declarative Services, Blueprint, CDI). Capabilities of each DI framework. Comparison of support for EE technologies like JPA, Security, SOAP and REST services, UIs. Looking into some of the recent advancements like Aries JPA 2 featuring closure based transactions, JAAS Security, JSP and JSF on OSGi. Attendees will get a good overview about the stacks as well as recommendations where each is most applicable.
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.
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
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
Essentials of Automations: Exploring Attributes & Automation Parameters
Belfast JUG 23-10-2013
1. Belfast Java User Group
Stuart Greenlees
Eamonn Long
Niall McLoughlin
Wednesday 23/10/2013
2. Belfast Java User Group
Agenda
Introduction to the Belfast JUG
• What is a JUG?
• Some Logistics
• How can you get involved?
JavaOne Key Notes
20+ New Features of JEE7
Extras
6. Belfast Java User Group
Meet Quarterly
October
2013
August
2014
February
2014
May
2014
7. Belfast Java User Group
Where can I find the Belfast JUG?
JUG Page on Java.Net: https://java.net/projects/belfast-jug
The Belfast JUG is on the MAP!
8. Belfast Java User Group
What are the Goals of the JUG?
Key
• Establish Regular meetings of Java Users in Belfast
• Share Information about Java
• Get people involved
Optional
• Adopt a JSR - https://java.net/projects/adoptajsr/pages/Home
• Adopt Open JDK - https://java.net/projects/adoptopenjdk/pages/AdoptOpenJDK
9. Belfast Java User Group
How can you get involved?
We Need Help!
• Create a Belfast JUG logo
• Create a simple website/wikki out on Java.Net
Contribute content
•
•
•
•
•
•
Join the Java.Net project
Post topic suggestions you would like to here about
Post recommendations of any good speakers you would like to hear from
Contributing to OpenSource we would love to hear from you
E.g. Night-hacking with Raspberry Pi
Post Content on the java.net wiki/mailing list
11. Belfast Java User Group
JUG Leadership Team
Stuart Greenlees – s.greenlees@liberty-it.co.uk
Eamonn Long (a.k.a BlueArsedFly) – e.long@liberty-it.co.uk
Niall McLoughlin – n.mclouoghlin@liberty-it.co.uk
13. Java 8 – What is a Lambda?
Lambda expressions are anonymous methods
Arguments
person
Arrow Expression or {Statement}
->
person.getAge() > minimumAge
Example usage with new Iterable.forEach default method:
employees.forEach(e -> e.setSalary(e.getSalary() * 1.03));
The general syntax consists of an argument list, the arrow token ->, and a
body. The body can either be a single expression, or a statement block. In the
expression form, the body is simply evaluated and returned. In the block form,
the body is evaluated like a method body.
Benefits
Internal Iteration
Pass Behaviour not just Data
Fluent Pipelined Operations
Lazy Evaluation
Parallelization
14. Java 8 –Streams
A stream is a sequence of elements. Unlike a collection, it is not a
data structure that stores elements. Instead, a stream carries
values from a source, such as collection, through a pipeline.
int sum = widgets.stream()
.filter(w -> w.getColor() == RED)
.mapToInt(w -> w.getWeight())
.sum();
// Filter
// Map
// Collect
The operations filter, map, and forEach are aggregate operations.
Aggregate operations process elements from a stream, not directly
from a collection.
A pipeline is a sequence of stream operations, which in this
example is filter-map-sum. In addition, aggregate operations
typically accept lambda expressions as parameters, enabling you to
customize how they behave.
15. Java 8 – Lambda Stream Methods
public interface Stream<T> extends BaseStream<T, Stream<T>> {
/**
* Returns a stream consisting of the elements of this stream that match
* the given predicate.
*
* @param predicate a <a href="package-summary.html#NonInterference">
*
non-interfering, stateless</a> predicate to apply to
*
each element to determine if it should be included
* @return the new stream
*/
Stream<T> filter(Predicate<? super T> predicate);
/**
* Returns a stream consisting of the results of applying the given
* function to the elements of this stream.
*
* @param <R> The element type of the new stream
* @param mapper a <a href="package-summary.html#NonInterference">
*
non-interfering, stateless</a> function to apply to each
*
element
* @return the new stream
*/
<R> Stream<R> map(Function<? super T, ? extends R> mapper);
}
16. Lambda – Filtering / Mapping
Filtering
List<Person> eligibleVoters =
potentialVoters.
stream().
// Get the List of voters as a Stream
filter(p -> p.getAge() > legalAgeOfVoting). // Filter using Predicate
collect(Collectors.toList()); // Convert Stream Back to List
Mapping
return mixedCaseStrings.
stream().
// Get Stream from List
map(s -> s.toUpperCase()). // Convert Value
collect(Collectors.toList());
// Convert Back to List
17. Lambda – Method References
// Reference to a Static method
Arrays.asList("a", "b", "c").forEach(Printers::print)
// Reference to an method on an instance
public static void printPages(Document doc, int[] pageNumbers)
{
Arrays.stream(pageNumbers).
map(doc::getPageContent).
forEach(Printers::print);
}
18. Java 8 – Lambda
http://openjdk.java.net/projects/lambda/
Streams – Brian Goetz/Paul Sandoz
CON7942_Sandoz-javaone-streamstopgear.pdf
Stuart Marks
TUT3877_Marks-JumpStartingLambda-v6.pdf
Brian Goetz – State of the Lambda
http://cr.openjdk.java.net/~briangoetz/lambda/lambda-state-final.html
Java Tutorial
http://docs.oracle.com/javase/tutorial/java/javaOO/lambdaexpressions.html
JUnit Based Tutorial
https://github.com/AdoptOpenJDK/lambda-tutorial
19. Adam Bien – Java Rockstar
http://www.adam-bien.com/roller/abien/
Lightweight Java EE Architectures (Free Devcast)
http://www.adam-bien.com/roller/abien/entry/lightweight_java_ee_architectures_a
Rethinking JEE Design Patterns
EJB’s are cool
No need for DAO’s with EntityManager
No need for DTO’s with JPA Entity
No need to have an interface for every class
Setting up JEE7 projects with Maven3
http://www.adam-bien.com/roller/abien/entry/setting_up_java_ee_7
Starting WebSphere with Java EE 6...in 3 seconds
http://www.adam-bien.com/roller/abien/entry/starting_websphere_with_java_ee
48. Ten Tips for Unit Tests
•
•
Make the tests understandable
• Comments
• Expected Behaviour
• Diagnostics
•
Absolute Repeatability
• Must trust each test
•
Independent Tests only
• Must run in any order
• No dependencies
•
Diagnostics on Failure
• Message in assets
• Reference input data
• Record test environment info
• Make it simple to debug
•
•
Think Before Testing
• Input Data
• What is it called
• Expected Output
No hard coding environment
• Chained exceptions
• Use config files for portability
• Mock objects
• No databases
•
No Extraneous Output
• Too much output == confusion
• Slient test
• Use option/config to turn debug on
Small and Simple
• Use setup and teardown
• Separate test logic from setup to make it easier to debug
•
Test 1 thing only
• One scenario per test so its more obvious why it failed
• Enables faster debugging
•
Fast Tests only
• Run as often as possible
• Quick results
• Maintain quaility bar
• More likely that devs will run with every change
49. Stress Testing – Arquillian & JMeter
http://arquillian.org/
Arquillian brings the test to the runtime so you don’t have to
manage the runtime from the test (or the build). Arquillian eliminates
this burden by covering all aspects of test execution, which entails:
• Managing the lifecycle of the container (or containers)
• Bundling the test case, dependent classes and resources into a
ShrinkWrap archive (or archives) Executing the tests inside (or against)
the container
http://jmeter.apache.org/
Apache JMeter - may be used to test performance both on static and
dynamic resources (Files, Web dynamic languages - PHP, Java, ASP.NET,
etc. -, Java Objects, Data Bases and Queries, FTP Servers and more).
It can be used to simulate a heavy load on a server, group of servers,
network or object to test its strength or to analyze overall performance
under different load types. You can use it to make a graphical analysis of
performance or to test your server/script/object behavior under heavy
concurrent load.
50. Security – OWASP Top 10 Web App Defenses
• SQL Injection Defence
• Query Parameterization
• Password Defences
• Don’t limit length
• credential-specific salt
• Keyed functions
• Multi-Factor Authentication
• SMS / Mobile App / Tokens
• Cross Site Scripting Defence
• OWASP Java Encoder
• OWASP HTML Sanitizer
• JSHtmlSanitizer
• Cross Site Request Forgery Defence
• CSRF Cryptographic Tokens
• Re-authentication
• Controlling Access
• Apache Shiro - comprehensive solution to
authentication, authorization, cryptography, and
session management.
• Clickjacking Defence
• response.addHeader( "X-FRAME-OPTIONS",
"SAMEORIGIN" );
• App Layer Intrusion Detection
• Input validation failure server side on non-user
editable parameters
• OWASP AppSensor Project
• Encryption in Transit (HTTPS/TLS)
• Credentials and Session IDs Encrypted in Transit
• Use HTTPS/TLS from login to logout
• Certificate Pinning
• File Upload Security
Jim Manico
https://oracleus.activeevents.com/2013/connect/fileDownload/session/0C826D948B4001909E22C76D363E0E86
/CON5523_Manico-Top%20Ten%20Defenses%20v11.ppt
The operations filter, map, and forEach are aggregate operations. Aggregate operations process elements from a stream, not directly from a collection. A stream is a sequence of elements. Unlike a collection, it is not a data structure that stores elements. Instead, a stream carries values from a source, such as collection, through a pipeline. A pipeline is a sequence of stream operations, which in this example is filter- map-forEach. In addition, aggregate operations typically accept lambda expressions as parameters, enabling you to customize how they behave.default void forEach(Consumer<? super T> action)
The operations filter, map, and forEach are aggregate operations. Aggregate operations process elements from a stream, not directly from a collection. A stream is a sequence of elements. Unlike a collection, it is not a data structure that stores elements. Instead, a stream carries values from a source, such as collection, through a pipeline. A pipeline is a sequence of stream operations, which in this example is filter- map-forEach. In addition, aggregate operations typically accept lambda expressions as parameters, enabling you to customize how they behave.default void forEach(Consumer<? super T> action)
The operations filter, map, and forEach are aggregate operations. Aggregate operations process elements from a stream, not directly from a collection. A stream is a sequence of elements. Unlike a collection, it is not a data structure that stores elements. Instead, a stream carries values from a source, such as collection, through a pipeline. A pipeline is a sequence of stream operations, which in this example is filter- map-forEach. In addition, aggregate operations typically accept lambda expressions as parameters, enabling you to customize how they behave.
Everything in blue has been updated in JEE7
Concurrency: ManagedExecutor DefaultManagedExecutor Specify in web.xmlConcurrency: ManagedScheduledExecutor Submit delayed or periodic tasks Access using JNDI. Can be defined in web.xml as wellConcurrency: ManagedThreadFactoryConcurrency: DynamicProxy
Can hook in encoders and decoders
Can hook in encoders and decoders
Can have Job/Step/Chunk
Jim Manicohttps://oracleus.activeevents.com/2013/connect/fileDownload/session/0C826D948B4001909E22C76D363E0E86/CON5523_Manico-Top%20Ten%20Defenses%20v11.ppt