The document discusses message-driven beans and Java Messaging Service (JMS). It defines synchronous and asynchronous messaging and explains the need for messaging in software design. It describes JMS elements like the messaging server, clients, and destinations. It provides examples of configuring topic and queue destinations. It also provides examples of message-driven beans that can consume from topics and queues, and JMS client code that acts as producers to topics and queues.
This document provides an overview of Java Message Service (JMS) for asynchronous messaging between software components. Key points include:
- JMS allows applications to asynchronously send and receive messages via queues or topics. This allows components that are not available at the same time to communicate.
- Messages sent via JMS remain in queues until a client receives them, ensuring reliable and guaranteed delivery.
- The document demonstrates a simple example of an order fulfillment scenario using JMS, and provides code samples for a basic message producer client.
- Core JMS concepts like providers, clients, destinations, connection factories and message types are defined to explain the JMS programming model.
This document provides an overview of JMS (Java Message Service) concepts and ActiveMQ configuration and usage. It discusses JMS programming models, message types, persistence, transactions, ActiveMQ broker configuration including persistence, clustering and monitoring. It also summarizes performance tests comparing ActiveMQ to other messaging systems.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
This document discusses Spring's support for messaging using Java Message Service (JMS). It covers the basics of JMS including destinations, point-to-point and publish-subscribe models. It then describes how to configure ActiveMQ as the JMS broker in Spring, including declaring destinations and using JMS templates for sending and receiving messages. It also discusses converting message payloads, setting default destinations, timeouts and Spring's support for message-driven POJOs.
This document provides an overview of Java Message Service (JMS) and how to use it. JMS allows applications to asynchronously and reliably send and receive messages. It uses Java Naming and Directory Interface (JNDI) to lookup connection information instead of hardcoding addresses. Sample code demonstrates how to publish messages to a topic and subscribe to receive them. JMS provides loose coupling between applications and supports point-to-point and publish-subscribe messaging models.
JMS is a Java specification that defines a common way for Java programs to create and send asynchronous, reliable messages. It uses concepts like queues for point-to-point and topics for publish-subscribe messaging. The JMS API allows clients to connect to a JMS provider to produce and consume messages and can integrate with other Java technologies like EJB and JNDI.
JMS is a Java specification that defines a common way for Java programs to create and send messages asynchronously in a loosely coupled manner, ensuring reliable delivery. It uses providers to implement the messaging functionality and clients interact through connection factories, destinations, and sessions to send and receive messages either point-to-point through queues or publish-subscribe through topics. JMS can also be used with EJB message-driven beans and to transport SOAP messages over JMS.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
This document provides an overview of Java Message Service (JMS) for asynchronous messaging between software components. Key points include:
- JMS allows applications to asynchronously send and receive messages via queues or topics. This allows components that are not available at the same time to communicate.
- Messages sent via JMS remain in queues until a client receives them, ensuring reliable and guaranteed delivery.
- The document demonstrates a simple example of an order fulfillment scenario using JMS, and provides code samples for a basic message producer client.
- Core JMS concepts like providers, clients, destinations, connection factories and message types are defined to explain the JMS programming model.
This document provides an overview of JMS (Java Message Service) concepts and ActiveMQ configuration and usage. It discusses JMS programming models, message types, persistence, transactions, ActiveMQ broker configuration including persistence, clustering and monitoring. It also summarizes performance tests comparing ActiveMQ to other messaging systems.
The document discusses Java Message Service (JMS) API which allows applications to asynchronously communicate by creating, sending, receiving and reading messages. It describes JMS architecture including administered objects like connection factories and destinations that clients look up, connections to providers, sessions for producing and consuming messages, and message producers and consumers. It also covers point-to-point and publish/subscribe messaging domains and how messages can be consumed synchronously or asynchronously.
This document discusses Spring's support for messaging using Java Message Service (JMS). It covers the basics of JMS including destinations, point-to-point and publish-subscribe models. It then describes how to configure ActiveMQ as the JMS broker in Spring, including declaring destinations and using JMS templates for sending and receiving messages. It also discusses converting message payloads, setting default destinations, timeouts and Spring's support for message-driven POJOs.
This document provides an overview of Java Message Service (JMS) and how to use it. JMS allows applications to asynchronously and reliably send and receive messages. It uses Java Naming and Directory Interface (JNDI) to lookup connection information instead of hardcoding addresses. Sample code demonstrates how to publish messages to a topic and subscribe to receive them. JMS provides loose coupling between applications and supports point-to-point and publish-subscribe messaging models.
JMS is a Java specification that defines a common way for Java programs to create and send asynchronous, reliable messages. It uses concepts like queues for point-to-point and topics for publish-subscribe messaging. The JMS API allows clients to connect to a JMS provider to produce and consume messages and can integrate with other Java technologies like EJB and JNDI.
JMS is a Java specification that defines a common way for Java programs to create and send messages asynchronously in a loosely coupled manner, ensuring reliable delivery. It uses providers to implement the messaging functionality and clients interact through connection factories, destinations, and sessions to send and receive messages either point-to-point through queues or publish-subscribe through topics. JMS can also be used with EJB message-driven beans and to transport SOAP messages over JMS.
Java Messaging Service (JMS) is a specification that describes a common way for Java programs to create, send, receive and read distributed enterprise messages using a loosely coupled and asynchronous messaging approach. A JMS provider delivers messages to clients as they arrive without requiring the client to request them. JMS supports point-to-point, publish-subscribe, and request-reply messaging domains. The JMS API defines programming elements like connections, sessions, producers and consumers that Java programs use to participate in messaging.
Overview of JMS messaging API.
JMS (Java Messaging Service) is an API for asynchronous message based communication between Java based applications.
JMS implementations (instances that implement the JMS API) are called JMS providers.
JMS defines two messaging domains. Point-to-point queues are typically used between one or multiple message senders and a single message receiver.
Topics are multi-point queues where messages are distributed to multiple receivers. As such topics resemble a black board.
Like many other message oriented middleware technologies, JMS provides advanced functions like persistent message delivery mode or different message acknowledgment modes.
Additionally, messages can be sent and received in a transacted mode thus ensuring that either all or no messages are sent and received.
JMS integrates into EJB (Enterprise Java Beans) through message driven beans.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
The document discusses how to create JMS applications using ActiveMQ and Spring. It provides code examples for configuring JMS connections and destinations, defining consumers using message listener containers, and implementing producers using templates. The examples demonstrate publishing stock price updates to topics. Configuring the various JMS components with Spring simplifies common tasks in messaging applications.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
Java Messaging Service (JMS) is a Java API that allows applications to asynchronously send and receive messages. It supports both point-to-point and publish-subscribe messaging models. A JMS application consists of JMS clients that produce and consume messages and administered objects like destinations and connection factories that are configured by an administrator.
The document discusses Java Message Service (JMS) which provides a common interface for sending messages between two or more clients. It covers JMS concepts like producers, consumers, queues and topics. It also describes the different message types and the typical algorithm for using JMS including obtaining connections and creating producers/consumers. Additionally, it shows how to implement synchronous and asynchronous messaging and how to use JMS within Spring applications including configuration, message listeners and templates.
This document summarizes a presentation about JMS integration patterns given by Miyuru Wanninayaka and Isuru Ranawaka of WSO2. It discusses JMS terminology, how to configure the JMS transport in WSO2 ESB, common JMS patterns using ESB as a producer and consumer, and upcoming features in WSO2 ESB including dynamic inbound endpoints and support for MQTT and Apache Kafka.
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
http://www.cetpainfotech.com
Enterprise Messaging With ActiveMQ and Spring JMSBruce Snyder
The document discusses ActiveMQ, an open source message broker. It provides an overview of installing and configuring ActiveMQ, and describes how to use Spring JMS with ActiveMQ for both synchronous and asynchronous messaging. Key ActiveMQ features like persistence, clustering, security, messaging patterns, and consumer options are also summarized.
This document provides an overview of a Java/J2EE training course that covers 8 weeks of material. Week 1 covers core Java topics like object-oriented programming concepts, the Java language fundamentals, and Java statements. Week 2 delves deeper into advanced Java features. Weeks 3 and 4 cover exception handling, multithreading, SQL, JDBC, and collections. Weeks 5-7 cover key J2EE specifications and frameworks like Servlets, JSP, EJB, Struts, Hibernate, Spring, and web services. Week 8 discusses application packaging and deployment. The document provides contact information for the training provider.
Java programming language which was developed with an initiative to write once and run anywhere is virtually the base of every networked application. Java is one of the most popular programming languages today used for developing mobile applications, games, Web-based content and enterprise software. By TOPS Technologies. http://www.tops-int.com
This document provides an index for the topics that will be covered in an Advanced Java Programming course, including Java Database Connectivity (JDBC), Java Servlets, multi-threaded programming, applets, Java network programming, Java Server Pages (JSP), Java Beans and Swing, frameworks like Spring and Hibernate, and Java development best practices. The index lists 9 main chapters that will cover technologies, architectures, life cycles, examples and test papers for each topic.
The document provides an overview of the Java programming language and related technologies including servlets, JSP, Struts, Hibernate, and Tiles. It discusses what Java is, its history and technology, the different Java editions, J2EE and its components, how servlets and JSP work, database handling with JDBC, the MVC pattern implemented by Struts, and object relational mapping with Hibernate. Tiles is described as a framework for assembling web pages from individual visual components.
This document provides an overview of Java fundamentals including its history, key components like the JDK and JRE, how bytecode and the JVM enable platform independence, and core object-oriented programming principles. It describes how Java was created in the early 1990s to control consumer devices, the development of applets for web browsers, and how bytecode compilation allows the same code to run on any device with a Java Virtual Machine.
JMS is a Java specification that defines a common way for Java programs to asynchronously and reliably send and receive messages through message queues or topics. It uses providers like WebLogic JMS, MQ JMS and Sun ONE Message Queue to implement the standard and allow communication between loosely coupled applications. JMS can also be used to transport SOAP messages using message transformers and provides features like durable subscriptions, transactions, and message selectors.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
Overview of JMS messaging API.
JMS (Java Messaging Service) is an API for asynchronous message based communication between Java based applications.
JMS implementations (instances that implement the JMS API) are called JMS providers.
JMS defines two messaging domains. Point-to-point queues are typically used between one or multiple message senders and a single message receiver.
Topics are multi-point queues where messages are distributed to multiple receivers. As such topics resemble a black board.
Like many other message oriented middleware technologies, JMS provides advanced functions like persistent message delivery mode or different message acknowledgment modes.
Additionally, messages can be sent and received in a transacted mode thus ensuring that either all or no messages are sent and received.
JMS integrates into EJB (Enterprise Java Beans) through message driven beans.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
This document provides an overview of Java Message Service (JMS) including its goals, benefits, components, messaging models, and how it compares to Java Mail. JMS is a messaging standard that allows applications to communicate asynchronously via messages. It supports two messaging models: point-to-point messaging using queues and publish-subscribe using topics. The document also discusses Spring JMS, which provides a simplified API for JMS, and demonstrates sending and receiving messages using both pure JMS and Spring JMS.
The document discusses how to create JMS applications using ActiveMQ and Spring. It provides code examples for configuring JMS connections and destinations, defining consumers using message listener containers, and implementing producers using templates. The examples demonstrate publishing stock price updates to topics. Configuring the various JMS components with Spring simplifies common tasks in messaging applications.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
Java Messaging Service (JMS) is a Java API that allows applications to asynchronously send and receive messages. It supports both point-to-point and publish-subscribe messaging models. A JMS application consists of JMS clients that produce and consume messages and administered objects like destinations and connection factories that are configured by an administrator.
The document discusses Java Message Service (JMS) which provides a common interface for sending messages between two or more clients. It covers JMS concepts like producers, consumers, queues and topics. It also describes the different message types and the typical algorithm for using JMS including obtaining connections and creating producers/consumers. Additionally, it shows how to implement synchronous and asynchronous messaging and how to use JMS within Spring applications including configuration, message listeners and templates.
This document summarizes a presentation about JMS integration patterns given by Miyuru Wanninayaka and Isuru Ranawaka of WSO2. It discusses JMS terminology, how to configure the JMS transport in WSO2 ESB, common JMS patterns using ESB as a producer and consumer, and upcoming features in WSO2 ESB including dynamic inbound endpoints and support for MQTT and Apache Kafka.
This document provides an overview of different JMS message types including TextMessage, ObjectMessage, MapMessage, ByteMessage, and StreamMessage. It describes key features of each message type such as carrying text payloads for TextMessage, serializable Java objects for ObjectMessage, and name-value pairs for MapMessage. Examples are given showing how to set and get content from messages of each type using the appropriate JMS API methods.
CETPA INFOTECH PVT LTD is one of the IT education and training service provider brands of India that is preferably working in 3 most important domains. It includes IT Training services, software and embedded product development and consulting services.
http://www.cetpainfotech.com
Enterprise Messaging With ActiveMQ and Spring JMSBruce Snyder
The document discusses ActiveMQ, an open source message broker. It provides an overview of installing and configuring ActiveMQ, and describes how to use Spring JMS with ActiveMQ for both synchronous and asynchronous messaging. Key ActiveMQ features like persistence, clustering, security, messaging patterns, and consumer options are also summarized.
This document provides an overview of a Java/J2EE training course that covers 8 weeks of material. Week 1 covers core Java topics like object-oriented programming concepts, the Java language fundamentals, and Java statements. Week 2 delves deeper into advanced Java features. Weeks 3 and 4 cover exception handling, multithreading, SQL, JDBC, and collections. Weeks 5-7 cover key J2EE specifications and frameworks like Servlets, JSP, EJB, Struts, Hibernate, Spring, and web services. Week 8 discusses application packaging and deployment. The document provides contact information for the training provider.
Java programming language which was developed with an initiative to write once and run anywhere is virtually the base of every networked application. Java is one of the most popular programming languages today used for developing mobile applications, games, Web-based content and enterprise software. By TOPS Technologies. http://www.tops-int.com
This document provides an index for the topics that will be covered in an Advanced Java Programming course, including Java Database Connectivity (JDBC), Java Servlets, multi-threaded programming, applets, Java network programming, Java Server Pages (JSP), Java Beans and Swing, frameworks like Spring and Hibernate, and Java development best practices. The index lists 9 main chapters that will cover technologies, architectures, life cycles, examples and test papers for each topic.
The document provides an overview of the Java programming language and related technologies including servlets, JSP, Struts, Hibernate, and Tiles. It discusses what Java is, its history and technology, the different Java editions, J2EE and its components, how servlets and JSP work, database handling with JDBC, the MVC pattern implemented by Struts, and object relational mapping with Hibernate. Tiles is described as a framework for assembling web pages from individual visual components.
This document provides an overview of Java fundamentals including its history, key components like the JDK and JRE, how bytecode and the JVM enable platform independence, and core object-oriented programming principles. It describes how Java was created in the early 1990s to control consumer devices, the development of applets for web browsers, and how bytecode compilation allows the same code to run on any device with a Java Virtual Machine.
JMS is a Java specification that defines a common way for Java programs to asynchronously and reliably send and receive messages through message queues or topics. It uses providers like WebLogic JMS, MQ JMS and Sun ONE Message Queue to implement the standard and allow communication between loosely coupled applications. JMS can also be used to transport SOAP messages using message transformers and provides features like durable subscriptions, transactions, and message selectors.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) including:
- JMS enables loosely coupled, asynchronous messaging between distributed applications.
- The JMS API is used to create, send, receive and read messages.
- JMS uses administered objects like connection factories and destinations that clients look up to access the provider.
- Messages can be consumed synchronously or asynchronously using message listeners.
- JMS supports two messaging domains: point-to-point and publish/subscribe.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
This document provides an overview of Java Message Service (JMS) and how it can be used with Java Message-Driven Beans in a Java EE application. It describes key JMS concepts like messaging domains, connection factories, destinations, message producers and consumers. It also summarizes how to implement a simple message-driven bean that acts as an asynchronous listener for JMS messages.
The document discusses Java Message Service (JMS) and its architecture, describing key JMS concepts like connections, sessions, message producers and consumers, and administered objects. It also covers message types and how to implement asynchronous messaging using a message-driven bean within a J2EE application.
The document summarizes JMS (Java Messaging Service), including its architecture, core concepts like messaging domains (point-to-point and publish/subscribe), administered objects like connection factories and destinations, and how to create and use message producers, consumers, listeners and messages. JMS enables loosely coupled, asynchronous communication between distributed applications using messages sent to queues or topics.
1. The document discusses servlets, which are Java classes that extend HttpServlet to generate dynamic web content. It covers creating a basic servlet class, mapping it in the deployment descriptor, packaging it into a WAR file, and analyzing requests and sending responses.
2. It then provides examples of using the request object to retrieve headers, parameters, and cookies, and using the response object to add headers, write content, and send cookies.
3. The final sections discuss using servlets to build a basic web form application that separates the controller and view layers. It also covers using HTTP sessions to share data across requests.
This document discusses using Java Message Service (JMS) with MuleSoft's messaging integration capabilities. It describes the two JMS messaging models of queues and topics. It then provides a step-by-step example of configuring Mule to use ActiveMQ for JMS integration, including importing libraries, creating a connector, sending messages to a queue, and receiving messages with a subscriber.
This document discusses object-relational mapping and persistence in Java. It covers:
1. The need for object modeling in enterprise applications and persisting object state in databases.
2. How the Java Persistence API (JPA) provides object-relational mapping through entity beans, the entity manager interface, and configuration.
3. Core entity manager methods like persisting, retrieving, deleting, and merging entities.
4. Schema mappings for mapping entity classes and relationships to database tables and columns.
This document discusses using Java Message Service (JMS) with MuleSoft's messaging transport to integrate applications. It provides an example of configuring JMS with ActiveMQ to send and receive messages from queues. The key steps are:
1. Import the ActiveMQ JAR library
2. Create an ActiveMQ connector in Mule
3. Use a JMS endpoint to enqueue messages to a queue via an HTTP request
4. Use another JMS endpoint and logger to receive and log messages from the queue
JMS (Java Message Service) is an API that allows loosely coupled and asynchronous communication between distributed application components using message queues and topics. It supports point-to-point messaging via queues and publish-subscribe messaging via topics. Mule's JMS transport allows sending and receiving messages to any JMS-compliant message broker. Serialization converts objects to bytes for transmission over JMS and deserialization recreates the objects on the receiving end. Examples demonstrate configuring Mule flows to publish messages to a topic and subscribe to receive them, and to serialize Java objects into messages.
JMS is a widely-used API that allows for asynchronous and loosely-coupled communication between distributed application components. It supports two messaging models: queues for point-to-point messaging and topics for publish-subscribe. Mule's JMS transport enables sending and receiving messages to queues and topics. The publish-subscribe model allows publishers to send messages to topics that subscribers can register interest in, without publishers and subscribers knowing about each other directly. Examples demonstrate configuring JMS publishers and subscribers in Mule and how JMS handles serializing and deserializing objects.
Node.js is an event-driven, asynchronous JavaScript runtime that allows JavaScript to be used for server-side scripting. It uses an event loop model that maps events to callbacks to handle concurrent connections without blocking. This allows Node.js applications to scale to many users. Modules in Node.js follow the CommonJS standard and can export functions and objects to be used by other modules. The event emitter pattern is commonly used to handle asynchronous events. Node.js is well-suited for real-time applications with intensive I/O operations but may not be the best choice for CPU-intensive or enterprise applications.
This presentation is about -
Overview of JMS,
Overview of JMS servers and Modules,
Configuring JMS Servers and Destinations,
for more details visit -
http://vibranttechnologies.co.in/weblogic-classes-in-mumbai.html
- Explain the basics JMS
- Use API of Java
References
YouTube link :
https://www.youtube.com/playlist?list=PLtDIUAtyP4lhV7CsYfLuIx26UeG4J-ujZ
GitHub :
https://github.com/Ghadeerof
This document provides an introduction to JavaServer Pages (JSPs), which are web components that generate dynamic web content like servlets. It describes the key differences between JSPs and servlets, and covers various JSP syntax elements like comments, scriptlets, expressions, and directives. It also explains how JSPs are automatically translated into servlets by the application server at deployment time for processing, and provides an example to demonstrate this translation process. The document concludes by presenting an example web application that uses a servlet to process form data and a JSP to display the results.
The document summarizes several key Java EE services including resource management, Java Naming and Directory Service (JNDS), security services, and transaction services. Resource management is implemented using resource pooling and activation/deactivation. Security services provide declarative security using roles and securing both EJBs and web components requires defining a security domain, login/error pages, and security declarations in deployment descriptors. Transactions services allow distributed transactions across multiple resources.
1. The document introduces the World Wide Web and its core technologies including HTTP, HTML, web servers, and web browsers.
2. It describes how HTTP works using a request/response model and is stateless, while browser cookies allow for stateful sessions.
3. Examples demonstrate basic HTML pages and forms, HTTP requests and responses, and how dynamic content can be generated using server-side technologies like JSP.
The document provides an introduction to Java Enterprise Edition (Java EE). It discusses key concepts such as distributed systems, middleware, the Java EE platform, and Java EE application servers. The Java EE platform consists of the Java SE APIs, Java EE APIs, and a Java EE application server. Applications are built using Java EE components like EJBs and servlets that run within a managed environment provided by the application server.
The document discusses object-oriented programming concepts including classes, objects, encapsulation, inheritance, polymorphism, and design patterns. It defines each concept and provides examples to illustrate how they are used in object-oriented programming and modeling. Object-oriented programming is based on representing real-world entities like cars and people as objects that have states, behaviors, and can communicate with each other through messages.
This document lists and describes various Java frameworks, tools, and technologies across different categories including testing, logging, build systems, obfuscators, GUIs, charting/reporting, web frameworks, template engines, IDEs, persistence, and aspect-oriented programming. It provides examples of popular Java tools and libraries for unit testing (JUnit), build systems (Ant), obfuscation (JavaGuard, JMangle), web development (Struts, Google Web Toolkit, Echo, OpenXava), IDEs (Eclipse, Netbeans), persistence (Hibernate, iBATIS), logging (Log4j, Simple Log), GUIs (Swing, SWT, Qt), reporting (JasperReports,
The document discusses aspects of being a professional including being highly educated, working autonomously on intellectually challenging tasks, defining technical terms, reading books, referring to references, thinking before working and complaining, and not being overly pedantic. It provides examples of some technical terms and concepts along with explanations to illustrate how to think like a professional.
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.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
Digital Marketing Trends in 2024 | Guide for Staying AheadWask
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...Tatiana Kojar
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
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!
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
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.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
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
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
3. 1. Introduction
The concept of messaging in computer science is very close to the real-world's concept.
Suppose the following situations:
• You talk with your friend face to face.
• You talk with your friend on cell phone.
• You talk with your friend online.
• You leave a written message for your friend with her mom.
• You send an SMS to your friend.
• You send a written mail to your friend.
• You send an e-Mail to your friend.
In the first three situations, you are doing a conversation with your friend. A conversation is
really a way of sending messages to each others. There's a live contact between you and your
friend. In the later situations, you are also messaging your friend. However, there is no live
contact between you and your friend. In software design we call, the first case synchronous
messaging, the later case asynchronous messaging.
2. Synchronous vs. Asynchronous Messaging
Synchronous messaging occurs when two parties are in touch, i.e. both are up. Receiver
processes messages instantaneously then sends a feedback to the sender to continue
functioning.
Asynchronous messaging occurs when two parties are not in touch, i.e. no party is required
to be up in the same time. Receiver processes messages whenever it receives it, and does
not send a feedback to the sender.
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4. 3. The Need for Messaging
In software design, objects and components need to message each others, i.e. invoking each
others' services. Synchronous messaging naturally follows of method invocation. Objects and
components invoke each others' services via message passing. The message of the sender
includes the method signature and arguments to that method. The feedback of the receiver
includes the return value of that method.
In some cases, notably in distributed systems, asynchronous messaging should also be
supported. Examples of such cases where asynchronous messaging include:
• System or business errors reporting.
• System performance reports.
• Service activation queues.
• Business events tracking.
• Business dashboards.
4. Java Messaging Service
Java Messaging Service, or JMS, is an API for accessing enterprise asynchronous messaging
systems. A JMS-compliant messaging server typically implements the JMS API. Clients use
the JMS API to access the messaging service.
4
5. 4.1. JMS Elements
4.1.1. Messaging Server
The messaging server is responsible for directly receiving the message from the producer
client and routing it to the consumer client. The messaging server is provided by the Java EE
application server.
4.1.2. Messaging Client
A messaging client is either a sender to a message or a receiver to a message.
4.1.2.1. Producer
A messaging client sending a message. The messaging producer can be any Java
EE enterprise component.
4.1.2.2. Consumer
A messaging client whose role is receiving messages. The messaging consumer in
Java EE is a message-driven bean.
4.1.3. Destination
Messages are sent to logical destinations rather than physical destinations. The producer
and consumer do not know about each others. The producer sends the message to a logical
destination, where the consumer is registered to this logical destination. The messaging
server is responsible for routing messages sent to a specific destination to its registered
consumers.
There are two types of destinations in JMS:
Topic
A topic is used with one-to-many messaging models (in JMS called publish-subscribe
model, or pub/sub in short). The client is sending a message that's broadcasted to
many consumers.
Queue
A queue is used with one-to-one messaging models (in JMS called point-to-point
model, p2p or PTP in short). The client is sending a message to only one consumer.
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6. 5. Configuring a Destination
5.1. Topic Destination
• Create the following file in the JBoss deploy folder.
• File name should ends with -service.xml
• Text in bold is any given name to the topic destination.
file: deploymyTopic-service.xml
<server>
<mbean code="org.jboss.mq.server.jmx.Topic"
name="jboss.mq.destination:service=Topic,name=myTopic">
<attribute name="JNDIName">myTopic</attribute>
<depends optional-attribute-name="DestinationManager">
jboss.mq:service=DestinationManager
</depends>
</mbean>
</server>
5.2. Queue Destination
• Create the following file in the JBoss deploy folder.
• File name should ends with -service.xml
• Text in bold is any given name to the queue destination.
file: deploymyQueue-service.xml
<server>
<mbean code="org.jboss.mq.server.jmx.Queue"
name="jboss.mq.destination:service=Queue,name=myQueue">
<attribute name="JNDIName">myQueue</attribute>
<depends optional-attribute-name="DestinationManager">
jboss.mq:service=DestinationManager
</depends>
6
7. </mbean>
</server>
6. Message-Driven Beans (Consumer)
A message-driven bean is an Enterprise JavaBean component that's responsible for receiving
messages from a specific destination.
6.1. Consumer for Topic Destination
file: hellomsg/MyTopicMessageBean.java
package hellomsg ;
import javax.jms.* ;
import javax.ejb.* ;
@MessageDriven(activationConfig={
@ActivationConfigProperty(
propertyName="destination",
propertyValue="myTopic")
,
@ActivationConfigProperty(
propertyName="destinationType",
propertyValue="javax.jms.Topic")
})
public class MyTopicMessageBean implements MessageListener{
public void onMessage(Message message) {
System.out.println("MESSAGE RECIEVED....!!!") ;
}
}
6.2. Consumer for Queue Destination
file: hellomsg/MyQueueMessageBean.java
package hellomsg ;
import javax.jms.* ;
import javax.ejb.* ;
7
8. @MessageDriven(activationConfig={
@ActivationConfigProperty(
propertyName="destination",
propertyValue="myQueue")
,
@ActivationConfigProperty(
propertyName="destinationType",
propertyValue="javax.jms.Queue")
})
public class MyQueueMessageBean implements MessageListener{
public void onMessage(Message message) {
System.out.println("MESSAGE RECIEVED....!!!") ;
}
}
7. JMS Application Client (Producer)
7.1. Producer for Topic Destination
file: TopicClient.java
import javax.naming.* ;
import javax.jms.* ;
public class TopicClient {
public static void main(String[] args) {
try {
//1. get a reference to the JNDI environment
InitialContext ctx = new InitialContext() ;
//2. get a reference to the JMS connection factory
ConnectionFactory cf = (ConnectionFactory)
ctx.lookup("ConnectionFactory") ;
//3. get a reference to the destination topic
Topic myTopic = (Topic) ctx.lookup("myTopic") ;
//4. Create a connection with the provided JMS server
Connection conn = cf.createConnection() ;
//5. Create a thread of communication
Session session = conn.createSession(false,
Session.AUTO_ACKNOWLEDGE) ;
//6. Create a message producer object
MessageProducer producer = session.createProducer(myTopic) ;
//7. Create a text message
TextMessage msg = session.createTextMessage() ;
8
9. msg.setText("Hello from the Topic Client") ;
//8. Send the message
producer.send(msg) ;
//9. Close the Connection
conn.close() ;
}
catch(Exception e) {
e.printStackTrace() ;
}
}
}
7.2. Producer for Queue Destination
file: QueueClient.java
import javax.naming.* ;
import javax.jms.* ;
public class QueueClient {
public static void main(String[] args) {
try {
//1. get a reference to the JNDI environment
InitialContext ctx = new InitialContext() ;
//2. get a reference to the JMS connection factory
ConnectionFactory cf = (ConnectionFactory)
ctx.lookup("ConnectionFactory") ;
//3. get a reference to the destination queue
Queue myQueue = (Queue) ctx.lookup("myQueue") ;
//4. Create a connection with the provided JMS server
Connection conn = cf.createConnection() ;
//5. Create a thread of communication
Session session = conn.createSession(false,
Session.AUTO_ACKNOWLEDGE) ;
//6. Create a message producer object
MessageProducer producer = session.createProducer(myQueue) ;
//7. Create a text message
TextMessage msg = session.createTextMessage() ;
msg.setText("Hello from the Queue Client") ;
//8. Send the message
producer.send(msg) ;
//9. Close the Connection
conn.close() ;
}
catch(Exception e) {
e.printStackTrace() ;
}
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