The document introduces JMS and discusses its architecture and programming model. It describes JMS components like connection factories, destinations, and sessions. JMS supports both point-to-point and publish/subscribe messaging models. The JMS programming model involves getting a JNDI context, looking up connection factories, creating connections and sessions, looking up destinations, creating message producers and consumers, and sending or receiving messages.
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
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.
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.
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.
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.
- 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 overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
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
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.
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.
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.
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.
- 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 overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
This document provides an overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
This document provides an overview and instructions for a sample that demonstrates starting a BPM process from a JMS message in two scenarios. The first scenario uses a message matching the process WSDL to start the process. The second scenario uses a business event message transformed by a mediator. The sample includes a process that sends JMS messages and a process configured to receive messages via a JMS adapter and mediator. Instructions are provided for installing, configuring, and running the sample.
The document discusses Citrix MFCOM programming and provides an agenda for a training session on MFCOM basics, labs, and the future of MFCOM. The training will cover navigating MFCOM, common administration tasks using MFCOM objects, and advanced usage. Labs will demonstrate listing servers and applications, creating a load evaluator, and taking a server offline. The future section discusses improvements in the CPSSDK and its usability and scalability.
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.
The document provides an overview of the Java Message Service (JMS) API. It discusses how JMS allows for asynchronous and reliable messaging between loosely coupled applications. JMS uses the Java Naming and Directory Interface (JNDI) to abstract provider details and make administrative objects easily organized. Example code is given to demonstrate publishing messages to a topic and subscribing to receive messages from a topic.
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.
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.
Jdon Framework is a lightweight framework that helps build clean and fluent architecture systems using domain-driven design principles. It introduces reactive and event-driven patterns into the domain layer. Jdon uses an asynchronous and non-blocking approach to allow for higher throughput applications compared to traditional request-response frameworks like Spring. Key aspects of Jdon include domain events that enable loose coupling between components, and a single-writer model that guarantees single operations on in-memory state.
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.
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.
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.
Martin Gijsen - Effective Test Automation a la Carte TEST Huddle
EuroSTAR Software Testing Conference 2009 presentation on Effective Test Automation a la Carte by Martin Gijsen. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Mastering Distributed Performance TestingKnoldus Inc.
To delve into the intricacies of optimizing performance and scalability in distributed systems. Learn advanced techniques, tools, and best practices for conducting efficient load testing across diverse environments. Gain valuable insights that will empower you to elevate the performance of your applications under real-world conditions.
This document provides an overview of messaging frameworks and Java Message Service (JMS). It defines messaging as communication between disparate systems and explains why messaging is important for enabling asynchronous and reliable communication. The key concepts covered include messaging fundamentals using a message-oriented middleware, common messaging protocols like AMQP and JMS, JMS domains for point-to-point and publish/subscribe messaging, consuming messages synchronously and asynchronously, the JMS API for creating connections and messages, and best practices for building robust JMS applications. It concludes with an example of designing a drone delivery system using JMS queues.
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.
This document provides an overview of how to perform distributed load testing using JMeter. It explains the key terminology used, including master and slave systems. The step-by-step instructions describe how to configure JMeter on the slave systems to run in server mode, and how to configure the master system to control the slaves. It outlines starting the test by selecting remote start or remote start all from the JMeter GUI on the master system. Limitations of the distributed testing approach are also listed.
A document describes using the radio and simulating TinyOS applications with TOSSIM. It discusses defining message structures, implementing radio communication using interfaces like Packet and AMSend, and simulating applications by specifying topologies, noise models, and debugging channels. An example application counts over a timer and broadcasts the counter using the radio. It can be simulated in TOSSIM by configuring 3 motes - one acts as a sink and receives periodic messages from sensors reporting temperature and humidity data.
The document discusses thread management in mashup execution platforms. It introduces different types of service components - call-response, polling, and callback. It then presents a case study on polling services, comparing a trivial one-thread-per-service solution to a proposed solution of one monitoring thread plus a thread pool for each service. The proposed solution uses system resources more efficiently by reducing memory consumption and response times compared to the trivial solution. Future work areas discussed include analyzing interactions with the JVM memory management and effects of garbage collection on performance.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
This document provides an overview and instructions for a sample that demonstrates starting BPM processes from JMS messages in two scenarios. The first scenario uses a JMS message matching the process WSDL to start the process. The second scenario uses a business event message transformed via a mediator. The sample includes a sending process that produces JMS messages and a receiving process configured with JMS adapters and a mediator. Instructions are provided for deploying the composites and queues required to run the sample.
This document provides an overview and instructions for a sample that demonstrates starting a BPM process from a JMS message in two scenarios. The first scenario uses a message matching the process WSDL to start the process. The second scenario uses a business event message transformed by a mediator. The sample includes a process that sends JMS messages and a process configured to receive messages via a JMS adapter and mediator. Instructions are provided for installing, configuring, and running the sample.
The document discusses Citrix MFCOM programming and provides an agenda for a training session on MFCOM basics, labs, and the future of MFCOM. The training will cover navigating MFCOM, common administration tasks using MFCOM objects, and advanced usage. Labs will demonstrate listing servers and applications, creating a load evaluator, and taking a server offline. The future section discusses improvements in the CPSSDK and its usability and scalability.
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.
The document provides an overview of the Java Message Service (JMS) API. It discusses how JMS allows for asynchronous and reliable messaging between loosely coupled applications. JMS uses the Java Naming and Directory Interface (JNDI) to abstract provider details and make administrative objects easily organized. Example code is given to demonstrate publishing messages to a topic and subscribing to receive messages from a topic.
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.
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.
Jdon Framework is a lightweight framework that helps build clean and fluent architecture systems using domain-driven design principles. It introduces reactive and event-driven patterns into the domain layer. Jdon uses an asynchronous and non-blocking approach to allow for higher throughput applications compared to traditional request-response frameworks like Spring. Key aspects of Jdon include domain events that enable loose coupling between components, and a single-writer model that guarantees single operations on in-memory state.
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.
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.
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.
Martin Gijsen - Effective Test Automation a la Carte TEST Huddle
EuroSTAR Software Testing Conference 2009 presentation on Effective Test Automation a la Carte by Martin Gijsen. See more at conferences.eurostarsoftwaretesting.com/past-presentations/
Mastering Distributed Performance TestingKnoldus Inc.
To delve into the intricacies of optimizing performance and scalability in distributed systems. Learn advanced techniques, tools, and best practices for conducting efficient load testing across diverse environments. Gain valuable insights that will empower you to elevate the performance of your applications under real-world conditions.
This document provides an overview of messaging frameworks and Java Message Service (JMS). It defines messaging as communication between disparate systems and explains why messaging is important for enabling asynchronous and reliable communication. The key concepts covered include messaging fundamentals using a message-oriented middleware, common messaging protocols like AMQP and JMS, JMS domains for point-to-point and publish/subscribe messaging, consuming messages synchronously and asynchronously, the JMS API for creating connections and messages, and best practices for building robust JMS applications. It concludes with an example of designing a drone delivery system using JMS queues.
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.
This document provides an overview of how to perform distributed load testing using JMeter. It explains the key terminology used, including master and slave systems. The step-by-step instructions describe how to configure JMeter on the slave systems to run in server mode, and how to configure the master system to control the slaves. It outlines starting the test by selecting remote start or remote start all from the JMeter GUI on the master system. Limitations of the distributed testing approach are also listed.
A document describes using the radio and simulating TinyOS applications with TOSSIM. It discusses defining message structures, implementing radio communication using interfaces like Packet and AMSend, and simulating applications by specifying topologies, noise models, and debugging channels. An example application counts over a timer and broadcasts the counter using the radio. It can be simulated in TOSSIM by configuring 3 motes - one acts as a sink and receives periodic messages from sensors reporting temperature and humidity data.
The document discusses thread management in mashup execution platforms. It introduces different types of service components - call-response, polling, and callback. It then presents a case study on polling services, comparing a trivial one-thread-per-service solution to a proposed solution of one monitoring thread plus a thread pool for each service. The proposed solution uses system resources more efficiently by reducing memory consumption and response times compared to the trivial solution. Future work areas discussed include analyzing interactions with the JVM memory management and effects of garbage collection on performance.
Software Test Automation - A Comprehensive Guide on Automated Testing.pdfkalichargn70th171
Moving to a more digitally focused era, the importance of software is rapidly increasing. Software tools are crucial for upgrading life standards, enhancing business prospects, and making a smart world. The smooth and fail-proof functioning of the software is very critical, as a large number of people are dependent on them.
Streamlining End-to-End Testing Automation with Azure DevOps Build & Release Pipelines
Automating end-to-end (e2e) test for Android and iOS native apps, and web apps, within Azure build and release pipelines, poses several challenges. This session dives into the key challenges and the repeatable solutions implemented across multiple teams at a leading Indian telecom disruptor, renowned for its affordable 4G/5G services, digital platforms, and broadband connectivity.
Challenge #1. Ensuring Test Environment Consistency: Establishing a standardized test execution environment across hundreds of Azure DevOps agents is crucial for achieving dependable testing results. This uniformity must seamlessly span from Build pipelines to various stages of the Release pipeline.
Challenge #2. Coordinated Test Execution Across Environments: Executing distinct subsets of tests using the same automation framework across diverse environments, such as the build pipeline and specific stages of the Release Pipeline, demands flexible and cohesive approaches.
Challenge #3. Testing on Linux-based Azure DevOps Agents: Conducting tests, particularly for web and native apps, on Azure DevOps Linux agents lacking browser or device connectivity presents specific challenges in attaining thorough testing coverage.
This session delves into how these challenges were addressed through:
1. Automate the setup of essential dependencies to ensure a consistent testing environment.
2. Create standardized templates for executing API tests, API workflow tests, and end-to-end tests in the Build pipeline, streamlining the testing process.
3. Implement task groups in Release pipeline stages to facilitate the execution of tests, ensuring consistency and efficiency across deployment phases.
4. Deploy browsers within Docker containers for web application testing, enhancing portability and scalability of testing environments.
5. Leverage diverse device farms dedicated to Android, iOS, and browser testing to cover a wide range of platforms and devices.
6. Integrate AI technology, such as Applitools Visual AI and Ultrafast Grid, to automate test execution and validation, improving accuracy and efficiency.
7. Utilize AI/ML-powered central test automation reporting server through platforms like reportportal.io, providing consolidated and real-time insights into test performance and issues.
These solutions not only facilitate comprehensive testing across platforms but also promote the principles of shift-left testing, enabling early feedback, implementing quality gates, and ensuring repeatability. By adopting these techniques, teams can effectively automate and execute tests, accelerating software delivery while upholding high-quality standards across Android, iOS, and web applications.
Transforming Product Development using OnePlan To Boost Efficiency and Innova...OnePlan Solutions
Ready to overcome challenges and drive innovation in your organization? Join us in our upcoming webinar where we discuss how to combat resource limitations, scope creep, and the difficulties of aligning your projects with strategic goals. Discover how OnePlan can revolutionize your product development processes, helping your team to innovate faster, manage resources more effectively, and deliver exceptional results.
Ensuring Efficiency and Speed with Practical Solutions for Clinical OperationsOnePlan Solutions
Clinical operations professionals encounter unique challenges. Balancing regulatory requirements, tight timelines, and the need for cross-functional collaboration can create significant internal pressures. Our upcoming webinar will introduce key strategies and tools to streamline and enhance clinical development processes, helping you overcome these challenges.
WMF 2024 - Unlocking the Future of Data Powering Next-Gen AI with Vector Data...Luigi Fugaro
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developers need. Plus, we'll zoom in on the advanced capabilities of vector search and semantic caching in Java, showcasing these through a live demo with Redis libraries. Get ready to see how these powerful tools can change the game!
Secure-by-Design Using Hardware and Software Protection for FDA ComplianceICS
This webinar explores the “secure-by-design” approach to medical device software development. During this important session, we will outline which security measures should be considered for compliance, identify technical solutions available on various hardware platforms, summarize hardware protection methods you should consider when building in security and review security software such as Trusted Execution Environments for secure storage of keys and data, and Intrusion Detection Protection Systems to monitor for threats.
Alluxio Webinar | 10x Faster Trino Queries on Your Data PlatformAlluxio, Inc.
Alluxio Webinar
June. 18, 2024
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Jianjian Xie (Staff Software Engineer, Alluxio)
As Trino users increasingly rely on cloud object storage for retrieving data, speed and cloud cost have become major challenges. The separation of compute and storage creates latency challenges when querying datasets; scanning data between storage and compute tiers becomes I/O bound. On the other hand, cloud API costs related to GET/LIST operations and cross-region data transfer add up quickly.
The newly introduced Trino file system cache by Alluxio aims to overcome the above challenges. In this session, Jianjian will dive into Trino data caching strategies, the latest test results, and discuss the multi-level caching architecture. This architecture makes Trino 10x faster for data lakes of any scale, from GB to EB.
What you will learn:
- Challenges relating to the speed and costs of running Trino in the cloud
- The new Trino file system cache feature overview, including the latest development status and test results
- A multi-level cache framework for maximized speed, including Trino file system cache and Alluxio distributed cache
- Real-world cases, including a large online payment firm and a top ridesharing company
- The future roadmap of Trino file system cache and Trino-Alluxio integration
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
Are you ready to unlock the secrets hidden within Java thread dumps? Join us for a hands-on session where we'll delve into effective troubleshooting patterns to swiftly identify the root causes of production problems. Discover the right tools, techniques, and best practices while exploring *real-world case studies of major outages* in Fortune 500 enterprises. Engage in interactive lab exercises where you'll have the opportunity to troubleshoot thread dumps and uncover performance issues firsthand. Join us and become a master of Java thread dump analysis!
Unlock the Secrets to Effortless Video Creation with Invideo: Your Ultimate G...The Third Creative Media
"Navigating Invideo: A Comprehensive Guide" is an essential resource for anyone looking to master Invideo, an AI-powered video creation tool. This guide provides step-by-step instructions, helpful tips, and comparisons with other AI video creators. Whether you're a beginner or an experienced video editor, you'll find valuable insights to enhance your video projects and bring your creative ideas to life.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
2. JMS / Session 1 / 2 of 36
Session Objectives
Describe messaging
Discuss JMS and the different scenarios
where it can be used
Explain the JMS architecture
JMS components
Approaches for implementing JMS
JMS programming model
3. JMS / Session 1 / 3 of 36
Tightly Coupled Systems
Active connection
Component 1 Component 2
Receiver receives
the data
Communication takes place
Sender sends
the data
Inactive connection
Component 1
Communication
does not take place
Component 2
Sender sends
the data
Receiver not
available
4. JMS / Session 1 / 4 of 36
Loosely Coupled Systems
Component 1
Communication
still takes place
Component 2
Inactive connection
Sender sends
the data
Receiver receives
the data
Receiver not
available
Active connection
Component 1 Component 2
Receiver receives
the data
Communication takes place
Sender sends
the data
5. JMS / Session 1 / 5 of 36
Communication
Refers to the process of exchanging data between
entities
Types
Synchronous
Communication
Asynchronous
Communication
6. JMS / Session 1 / 6 of 36
Synchronous Communication
Request
Response
Client
Server
Client
waits for
server
response
7. JMS / Session 1 / 7 of 36
Asynchronous Communication
Request
Client
Server
Client
does not
wait for
server
response
8. JMS / Session 1 / 8 of 36
Messaging (1)
Can send and receive
data from other
messaging clients
Can send and receive
data from other
messaging clients
Messaging System
(MOM)
Messaging Client
acting as a Sender
Messaging Client
acting as a Receiver
Destination
A message is an
encapsulated set
of data
Provides facilities for
creating, sending,
receiving and reading
messages
9. JMS / Session 1 / 9 of 36
Messaging (2)
Components are loosely coupled
Application components need to continuously
communicate irrespective of component
availability
Communication is asynchronous
Messaging can be used when:
MOM
Receiver
Destination
Sender
10. JMS / Session 1 / 10 of 36
Messaging (3)
Components exchanging messages need not
be available at the same time
Messages translated while being transmitted
Asynchronous communication
One message received by multiple receivers
Advantages:
MOM
Receiver
Destination
Sender
11. JMS / Session 1 / 11 of 36
Messaging (4)
Not the best choice for highly interactive
components
Information on message handling is not
available
Limitations:
MOM
Receiver
Destination
Sender
12. JMS / Session 1 / 12 of 36
Java Message Service
Helps build asynchronous message-oriented
applications
Not a messaging system but an API
Allows application developers to create, send, receive
and read messages
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Application Scenario for using
JMS API (1)
Component 2
Component 1
Communication
still takes place
Inactive connection
Sender sends the
data
Receiver receives
the data
Loosely coupled components
Request
Client
Server
Client
does not
wait for
server
response
Asynchronous Communication
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Application Scenario for using
JMS API (2)
Sender Receivers
One sender – multiple receivers
Personal
Computer
Mainframe
Legacy systems communicating with new systems
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Applications using JMS API (1)
Inventory
Component
Manufacturing
Unit
Component
Parts
Component
Parts Order
Component
Parts
Inventory
Component
Inventory Management System:
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Applications using JMS API (2)
HR Component
Accounts
Component
Administration
Component
Human Resource Management System:
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JMS Architecture
JMS
Components
Messaging
Domains
JMS
Programming
Model
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JMS Messaging Models
Point-to-Point Publish/Subscribe
JMS specifications provide different messaging
domains for each of the models
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Publish/Subscribe (pub/sub)
Publisher
Subscriber
Subscriber
Subscriber
JMS
Provider
Topic
1
1 – Publish Messages to the topic
2 – Subscribe to the topic for Messages
This approach is intended for a One-to-Many
scenario
2
2
2
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Point-to-Point (p2p)
1 – Message sent to queue
2 – Message fetched from queue
Sender
JMS
Provider
Receiver
1 Queue
This approach is intended for a One-to-One scenario
2
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JMS Programming Model
The steps are as follows…
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Step 1: Get the JNDI Context
Through jndi.properties file
java.naming.factory.initial=
org.jnp.interfaces.NamingContextFactory
java.naming.provider.url=localhost:1099
java.naming.factory.url.pkgs=
org.jboss.naming:org.jnp.interfaces
Creating the jndi.properties
Context context = new InitialContext();
Obtain the JNDI context in the client’s code
(First method)
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Step 1: Get the JNDI Context
Hashtable properties = new Hashtable();
properties.put(Context.INITIAL_CONTEXT_FACTORY,
"org.jnp.interfaces.NamingContextFactory");
properties.put(Context.PROVIDER_URL, "localhost:1099");
properties.put("java.naming.rmi.security.manager", "yes");
properties.put(Context.URL_PKG_PREFIXES,
"org.jboss.naming");
Manually setting the JNDI
(Second method)
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Step 2: Look up a Connection
Factory
// Get the topic connection factory
TopicConnectionFactory tConFactory =
(TopicConnectionFactory)context.lookup("ConnectionFactory");
// Get the queue connection factory
QueueConnectionFactory qConFactory =
(QueueConnectionFactory)context.lookup("ConnectionFactory");
Connection factories are used by the clients to get a
connection with the JMS provider
Or
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Step 3: Obtain a Connection
Connection objects represent a connection with the
JMS provider and are used to create session object(s)
// Get the connection object for topic
TopicConnection tCon = tConFactory.createTopicConnection();
// Get the connection object for queue
QueueConnection qCon = qConFactory.createQueueConnection();
tCon.close(); qCon.close();
Close the connection object
Or
Or
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Step 4: Create a Session
Session is used for producing and consuming messages
// Create a TopicSession object using TopicConnection
TopicSession tSession =
tCon.createTopicSession(false,Session.AUTO_ACKNOWLEDGE);
// Create a QueueSession object using QueueConnection
QueueSession qSession = qCon.createQueueSession(true, 0);
Or
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Step 5: Look up the
Destination
// Look up the topic destination
Topic newTopic =
(Topic)context.lookup("topic/testTopic");
// Look up the queue destination
Queue newQ = (Queue)context.lookup("queue/testQueue");
Destinations specify the target for message
producers and source for message consumers
Or
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Step 6A: Create a Message
Producer
// Create a publisher for the topic, newTopic
TopicPublisher tPublisher = tSession.createPublisher(newTopic);
// Create a sender for the queue, newQ
QueueSender qSender = qSession.createSender(newQ);
Message producer is created by the session and is
used for sending messages to a destination
Or
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Step 6B: Create a Message
Consumer
// Create a subscriber for the topic, newTopic
TopicSubscriber tSubscriber =
tSession.createSubscriber(newTopic);
// Create a receiver for the queue, newQ
QueueReceiver qRcvr = qSession.createReceiver(newQ);
Message consumer is created by the session and they
are the receiver of the messages
Or
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Step 7A: Publish / Send
Messages
// Publish a message using TopicPublisher
tPublisher.publish(msg);
// Send a message using QueueSender
qSender.send(msg);
Or
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Step 7B: Receive Messages
Receive messages synchronously
tCon.start();
Message msg =
tSubscriber.receive(1000);
qCon.start();
Message msg =
qRcvr.receive();
Receive messages asynchronously
TopicListener tListener = new TopicListener();
/* TopicListener is a user-defined class implementing
MessageListener interface */
tSubscriber.setMessageListener
(tListener);
qRcvr.setMessageListener
(tListener);
Or
Or
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JMS Programming Model
Summary of steps
7. Send or receive messages
1. Get the JNDI Context
2. Look up a connection factory
3. Obtain a connection
5. Look up the destination
6. Create a message producer and a message consumer
4. Create a session
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Messages
Message
Header Message
Properties
Message
Bodies
Contains pre-
defined fields to
identify and route
messages
Created for messages
requiring additional values
apart from those provided
by header fields
JMS API provides
various body
formats or
message types