The handler framework in the Java API for XML Web Services (JAX-WS) allows applications to address cross-cutting and/or system-level concerns by opening the service and client runtimes for applications to plug in modular components
The document summarizes the File and Quartz connectors in Mule. The File connector allows exchanging files with a file system and can be configured to filter files and write files in new or existing files. The Quartz connector supports scheduling programmatic events inside or outside flows using cron expressions. Key attributes when configuring the connectors include display name, path, polling frequency, and connector configuration.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
The document discusses Mule Flow architecture and message processing. It describes how composite source scopes can embed multiple connectors to trigger flows. Message processors like filters and transformers can be combined using scopes to implement parallel processing and reusable sequences. Exception strategies determine how Mule responds to errors during message processing, and pre-packaged strategies handle exceptions at different points. Flows typically use an inbound endpoint as a message source, may include a filter and transformer, and allow sending messages to queues and calling other flows throughout.
Anypoint MQ allows applications to communicate by publishing messages to queues. This document describes how to create queues and exchanges, send messages to a queue, and retrieve messages from a queue using Anypoint Platform. Key steps include logging into Anypoint Platform, clicking MQ, clicking Destinations, clicking the blue plus circle to create a new queue or exchange, specifying configuration details, and then sending or receiving messages. Organization administrators can also view Anypoint MQ usage statistics.
Mule provides several threading models and strategies for processing messages:
- SEDA decomposes applications into stages connected by queues to improve parallelism.
- Thread pools are configured based on exchange patterns, processors, transactions, and processing strategies.
- Asynchronous processing uses receiver threads to queue messages and flow threads to process them in parallel, improving throughput.
The Generic connector in Mule allows users to configure custom endpoints and protocols by specifying them in the connector address. It provides options to configure properties like the exchange pattern, response timeout, encoding, and reconnect strategy. The connector supports configuring synchronous transformers on the request and response through its Transformers tab.
This document discusses different types of Java custom components that can be used in Mule when standard transformations are not sufficient. It describes Java components, components with singletons, invoke components, transformers, and entry point resolvers. It also discusses invoking a service using a Java component. The main flow exposes a HTTP service and refers to subflows covering these concepts, including a simple subflow with a Java component that implements Callable to print payload details. It also discusses configuring a Java component with a singleton that shares an instance rather than creating a new one each request.
The document discusses the until-successful component in Mule, which processes messages through its processors until the process succeeds. It can run asynchronously or synchronously from the main flow. The example shows a flow using until-successful to retry a database query up to 5 times if it fails, connecting to a database and executing a select query to demonstrate this functionality.
The document summarizes the File and Quartz connectors in Mule. The File connector allows exchanging files with a file system and can be configured to filter files and write files in new or existing files. The Quartz connector supports scheduling programmatic events inside or outside flows using cron expressions. Key attributes when configuring the connectors include display name, path, polling frequency, and connector configuration.
The document discusses the open-source enterprise service bus Mule, including what Mule is, its core concepts like the universal message object and endpoints, and how Mule uses technologies like staged event-driven architecture and non-blocking I/O to move data between different systems and formats in a flexible way. It also provides examples of using Mule to move XML files between directories and handling exceptions.
The document discusses Mule Flow architecture and message processing. It describes how composite source scopes can embed multiple connectors to trigger flows. Message processors like filters and transformers can be combined using scopes to implement parallel processing and reusable sequences. Exception strategies determine how Mule responds to errors during message processing, and pre-packaged strategies handle exceptions at different points. Flows typically use an inbound endpoint as a message source, may include a filter and transformer, and allow sending messages to queues and calling other flows throughout.
Anypoint MQ allows applications to communicate by publishing messages to queues. This document describes how to create queues and exchanges, send messages to a queue, and retrieve messages from a queue using Anypoint Platform. Key steps include logging into Anypoint Platform, clicking MQ, clicking Destinations, clicking the blue plus circle to create a new queue or exchange, specifying configuration details, and then sending or receiving messages. Organization administrators can also view Anypoint MQ usage statistics.
Mule provides several threading models and strategies for processing messages:
- SEDA decomposes applications into stages connected by queues to improve parallelism.
- Thread pools are configured based on exchange patterns, processors, transactions, and processing strategies.
- Asynchronous processing uses receiver threads to queue messages and flow threads to process them in parallel, improving throughput.
The Generic connector in Mule allows users to configure custom endpoints and protocols by specifying them in the connector address. It provides options to configure properties like the exchange pattern, response timeout, encoding, and reconnect strategy. The connector supports configuring synchronous transformers on the request and response through its Transformers tab.
This document discusses different types of Java custom components that can be used in Mule when standard transformations are not sufficient. It describes Java components, components with singletons, invoke components, transformers, and entry point resolvers. It also discusses invoking a service using a Java component. The main flow exposes a HTTP service and refers to subflows covering these concepts, including a simple subflow with a Java component that implements Callable to print payload details. It also discusses configuring a Java component with a singleton that shares an instance rather than creating a new one each request.
The document discusses the until-successful component in Mule, which processes messages through its processors until the process succeeds. It can run asynchronously or synchronously from the main flow. The example shows a flow using until-successful to retry a database query up to 5 times if it fails, connecting to a database and executing a select query to demonstrate this functionality.
The RequestDispatcher interface provides facilities for dispatching requests between resources like servlets, JSPs, and HTML files. It has two main methods: forward() dispatches a request to another resource and the response replaces the current response, while include() dispatches a request and includes the response in the current response. For example, a servlet could validate user input, and if valid forward the request to a JSP welcome page via the RequestDispatcher, or include error messages on the same page if invalid.
The document discusses batch processing in Mule, which processes large numbers of messages in batches. It describes the three phases of batch processing: input, process records, and on complete. The input phase prepares a collection object with the input messages. The process records phase processes each record in the collection individually and in parallel. The on complete phase summarizes the flow by providing counts of successful, failed, and total records. An example is provided of transforming a CSV file to XML using batch processing with two batch steps - one to transform with a datamapper and another to write the XML to a file in batches of 5 records.
The document summarizes various message processors in Mule, including their purpose and example usage. Key message processors described include:
- All - Sends the same message to multiple targets.
- Async - Runs a chain of processors in a separate thread.
- Choice - Sends a message to the first matching processor.
- Collection Aggregator - Groups messages by correlation ID before forwarding.
- Collection Splitter - Splits messages whose payload is a collection.
- Custom processors - Allow custom message processing logic.
- Filtering processors - Filter messages based on properties.
- Routing processors - Route messages in various ways like first successful, round robin, etc.
The document discusses using the VM component in Mule applications for intra-JVM communication between flows. The VM component uses in-memory queues by default but can be configured to use persistent queues. An example flow is provided that demonstrates a main flow triggering a subflow using the VM component, with log messages output from each flow. Key features of the VM component are that request-response endpoints deliver messages directly in the same thread, while one-way endpoints deliver asynchronously via a queue.
Mule Munit
1. Solution for JUnit Functional test cases By: Kiet Bui 22-Sep-2015
2. Abstract • The main motto of this white paper is what the issues to write test cases using JUnit are and how to overcome those issues.
3. Table of Contents • ABSTRACT 1. INTRODUCTION 2. PROBLEM STATEMENT 3. SOLUTION 4. BENEFITS 5. CONCLUSION 6. REFERENCES 7. ABOUT THE AUTHOR 8. ABOUT WHISHWORKS
4. Introduction • We have multiple unit test frameworks to write unit and functional test cases for our services. When we write functional test cases using JUnit we can’t mock mule components. To resolve this issues we have to use MUnit and I am going to explain what is the problem with JUnit and how to resolve using MUnit in the below.
5. Problem Statement • When we write functional test cases using JUnit, the test case will directly connect to original components like SAP, Salesforce etc. and insert/select the data. It is the issue in JUnit functional test case why because we are writing functional test cases to check whether entire functionality is working as expected or not without modifying the original components(SAP,Salesforce,Database) data, but in JUnit functional test cases it is directly connecting to original components and modifying the original data. • Examples: 1. SAP Connector • Mule flow:
This document discusses different types of splitters and aggregators in Mule routing. It provides examples of using collection splitters to split collections into individual messages processed in parallel, and collection aggregators to reassemble the messages. It also demonstrates using message chunk splitters to split payloads into fixed-size chunks for parallel processing, and message chunk aggregators to recombine the chunks. Scatter-gather routing is mentioned as well to concurrently send messages to multiple endpoints and aggregate the responses.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
The Mule Message Chunk Aggregator can be used to aggregate messages that are split into parts by a message splitter. It accepts incoming message parts and uses message attributes to correlate the parts into complete messages that are then sent to downstream flows. The aggregator can be configured with options like a timeout, message ID and correlation ID expressions to map attributes, and a store prefix for object stores. Additional tabs allow adding business events tracking and notes or metadata.
This document discusses exposing a SOAP web service using Mule. It involves a two step process: 1) Create a concrete WSDL from schema definitions and abstract WSDL, and 2) Use the concrete WSDL to expose the service. Step 1 includes creating an XSD, abstract WSDL, generating Java files from the WSDL, and implementing the service interface. Step 2 uses the concrete WSDL to configure a CXF proxy service in Mule with a choice router to differentiate operations and call their implementations.
MUnit is a framework for writing functional test cases in Mule that allows mocking of components like SAP, Salesforce, and databases. When writing functional tests with JUnit, the tests interact directly with the actual components. MUnit allows mocking these components to return custom payloads and avoid modifying real data during tests. The document provides examples of mocking Salesforce and database components in MUnit tests.
The Mule Ajax connector allows asynchronous communication between a Mule flow and an external web page. It can be used as both an inbound and outbound connector. When configured as an inbound connector, it receives data from a JavaScript client attached to a web page. When configured as an outbound connector, it sends data to that web page without reloading the page. The Ajax connector configuration involves setting properties for the channel, address, encoding, and reconnection strategy. Transformers can also be applied to requests and responses.
Servlet architecture comes under a java programming language used to create dynamic web applications. Mainly servlets are used to develop server-side applications. Servlets are very robust and scalable. Before introducing servlets, CGI (common gateway interface) was used.
The document describes various message processors and routers in Mule that control how events are sent and received by components in a Mule system. It provides examples and descriptions of processors like All, Async, Choice, Collection Aggregator, First Successful, Idempotent Message Filter, Message Chunk Aggregator, Recipient List, Request Reply, Splitter, Until Successful, and WireTap. These processors allow sending messages to multiple targets, running processors asynchronously, routing based on conditions, aggregating and splitting message collections, filtering duplicate messages, and more.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or patterns. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to and receive messages from RabbitMQ queues via exchanges. For example, one flow may send a message to a queue using a direct exchange, while a receiving flow gets messages from the same queue via the direct exchange.
The File connector allows Mule applications to exchange files with a file system. It can be used as an inbound endpoint, acting as a message source that triggers flows when new files are received, or as an outbound endpoint to pass files to a file system. When used as an inbound endpoint, the File connector polls a directory at a specified frequency and moves processed files based on configurable filters and patterns.
This document discusses EAI (Enterprise Application Integration) patterns using Spring Integration. It provides an overview of messaging, pipes and filters, and common EAI patterns. It then demonstrates how Spring Integration implements these patterns through its API, with an emphasis on messaging channels. Examples are given for sending and receiving JMS, AMQP, HTTP, and email messages. Common patterns like filtering, routing, splitting, and aggregating messages are also explained.
This document discusses the Servlet API and javax.servlet.http package for building servlets in Java. It explains that these contain classes and interfaces required for servlets, including lifecycle methods like init(), service(), and destroy(). It also describes the HttpServletRequest and HttpServletResponse classes for getting request information and sending HTTP responses from servlets.
Shipping your logs to elk from mule app/cloudhub part 1Alex Fernandez
This document provides an overview of shipping logs from a mule application or cloudhub to ELK (Elasticsearch, Logstash, and Kibana). It defines what server logs are, why they are needed for incident reports, access logs, and analytics. The key tools needed are the ELK stack for indexing and visualization, Docker/Docker Compose for building isolated app containers, and log4j configuration. ELK is described as the standard for operational intelligence, with Elasticsearch indexing logs, Logstash retrieving and forwarding logs, and Kibana visualizing and analyzing logs. Docker is discussed as disrupting system administration by enabling building isolated apps in containers using Docker Compose.
The document provides an implementation guide for WS-Reliable Messaging (WSRM) in the Verizon SUMS environment. It discusses:
1. Using interceptors on the client and server sides to implement WSRM, ensuring messages are sent and received reliably in the proper order.
2. Key aspects of the server-side Apache CXF setup like interceptor annotations and configurations, endpoint definitions, and resources like policies and WSDLs.
3. The roles of the main interceptors - OutInterceptors, InInterceptors, and FaultInterceptors - in reliably handling messages according to their phase order.
4. An example of a custom PhaseInInterceptor that handles
Apache Axis2/C is a web services engine implemented in C that allows for providing and consuming web services. It has an extensible module-based architecture that supports WS-* specifications. Key features include support for one-way and request-response messaging, a module system for extending SOAP processing, and transports like HTTP, TCP, and SMTP. The architecture separates logic and state using an information model and defines phases for processing incoming and outgoing SOAP messages that can be extended through modules and handlers.
This document discusses server-side programming and servlets. It defines a web application as an application accessible from the web, composed of web components like servlets that execute on the web server. It describes CGI technology and its disadvantages. It then discusses server-side scripting, why server-side programming is important for enterprise applications, and the advantages it provides over client-side programming. The document outlines different types of server-side programs and provides details on servlets, the servlet container, servlet API, and the servlet lifecycle.
The RequestDispatcher interface provides facilities for dispatching requests between resources like servlets, JSPs, and HTML files. It has two main methods: forward() dispatches a request to another resource and the response replaces the current response, while include() dispatches a request and includes the response in the current response. For example, a servlet could validate user input, and if valid forward the request to a JSP welcome page via the RequestDispatcher, or include error messages on the same page if invalid.
The document discusses batch processing in Mule, which processes large numbers of messages in batches. It describes the three phases of batch processing: input, process records, and on complete. The input phase prepares a collection object with the input messages. The process records phase processes each record in the collection individually and in parallel. The on complete phase summarizes the flow by providing counts of successful, failed, and total records. An example is provided of transforming a CSV file to XML using batch processing with two batch steps - one to transform with a datamapper and another to write the XML to a file in batches of 5 records.
The document summarizes various message processors in Mule, including their purpose and example usage. Key message processors described include:
- All - Sends the same message to multiple targets.
- Async - Runs a chain of processors in a separate thread.
- Choice - Sends a message to the first matching processor.
- Collection Aggregator - Groups messages by correlation ID before forwarding.
- Collection Splitter - Splits messages whose payload is a collection.
- Custom processors - Allow custom message processing logic.
- Filtering processors - Filter messages based on properties.
- Routing processors - Route messages in various ways like first successful, round robin, etc.
The document discusses using the VM component in Mule applications for intra-JVM communication between flows. The VM component uses in-memory queues by default but can be configured to use persistent queues. An example flow is provided that demonstrates a main flow triggering a subflow using the VM component, with log messages output from each flow. Key features of the VM component are that request-response endpoints deliver messages directly in the same thread, while one-way endpoints deliver asynchronously via a queue.
Mule Munit
1. Solution for JUnit Functional test cases By: Kiet Bui 22-Sep-2015
2. Abstract • The main motto of this white paper is what the issues to write test cases using JUnit are and how to overcome those issues.
3. Table of Contents • ABSTRACT 1. INTRODUCTION 2. PROBLEM STATEMENT 3. SOLUTION 4. BENEFITS 5. CONCLUSION 6. REFERENCES 7. ABOUT THE AUTHOR 8. ABOUT WHISHWORKS
4. Introduction • We have multiple unit test frameworks to write unit and functional test cases for our services. When we write functional test cases using JUnit we can’t mock mule components. To resolve this issues we have to use MUnit and I am going to explain what is the problem with JUnit and how to resolve using MUnit in the below.
5. Problem Statement • When we write functional test cases using JUnit, the test case will directly connect to original components like SAP, Salesforce etc. and insert/select the data. It is the issue in JUnit functional test case why because we are writing functional test cases to check whether entire functionality is working as expected or not without modifying the original components(SAP,Salesforce,Database) data, but in JUnit functional test cases it is directly connecting to original components and modifying the original data. • Examples: 1. SAP Connector • Mule flow:
This document discusses different types of splitters and aggregators in Mule routing. It provides examples of using collection splitters to split collections into individual messages processed in parallel, and collection aggregators to reassemble the messages. It also demonstrates using message chunk splitters to split payloads into fixed-size chunks for parallel processing, and message chunk aggregators to recombine the chunks. Scatter-gather routing is mentioned as well to concurrently send messages to multiple endpoints and aggregate the responses.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or bindings. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. It can send and receive messages to/from RabbitMQ queues using different exchange types like direct exchanges as demonstrated in the example config with two flows, one to send and one to receive a message.
The Mule Message Chunk Aggregator can be used to aggregate messages that are split into parts by a message splitter. It accepts incoming message parts and uses message attributes to correlate the parts into complete messages that are then sent to downstream flows. The aggregator can be configured with options like a timeout, message ID and correlation ID expressions to map attributes, and a store prefix for object stores. Additional tabs allow adding business events tracking and notes or metadata.
This document discusses exposing a SOAP web service using Mule. It involves a two step process: 1) Create a concrete WSDL from schema definitions and abstract WSDL, and 2) Use the concrete WSDL to expose the service. Step 1 includes creating an XSD, abstract WSDL, generating Java files from the WSDL, and implementing the service interface. Step 2 uses the concrete WSDL to configure a CXF proxy service in Mule with a choice router to differentiate operations and call their implementations.
MUnit is a framework for writing functional test cases in Mule that allows mocking of components like SAP, Salesforce, and databases. When writing functional tests with JUnit, the tests interact directly with the actual components. MUnit allows mocking these components to return custom payloads and avoid modifying real data during tests. The document provides examples of mocking Salesforce and database components in MUnit tests.
The Mule Ajax connector allows asynchronous communication between a Mule flow and an external web page. It can be used as both an inbound and outbound connector. When configured as an inbound connector, it receives data from a JavaScript client attached to a web page. When configured as an outbound connector, it sends data to that web page without reloading the page. The Ajax connector configuration involves setting properties for the channel, address, encoding, and reconnection strategy. Transformers can also be applied to requests and responses.
Servlet architecture comes under a java programming language used to create dynamic web applications. Mainly servlets are used to develop server-side applications. Servlets are very robust and scalable. Before introducing servlets, CGI (common gateway interface) was used.
The document describes various message processors and routers in Mule that control how events are sent and received by components in a Mule system. It provides examples and descriptions of processors like All, Async, Choice, Collection Aggregator, First Successful, Idempotent Message Filter, Message Chunk Aggregator, Recipient List, Request Reply, Splitter, Until Successful, and WireTap. These processors allow sending messages to multiple targets, running processors asynchronously, routing based on conditions, aggregating and splitting message collections, filtering duplicate messages, and more.
RabbitMQ is an open-source message broker software written in Erlang. It uses exchanges to route messages from producers to queues based on routing keys or patterns. There are four main exchange types - direct, fanout, topic, and headers. Mule connects to RabbitMQ using the AMQP connector. Flows in Mule can send messages to and receive messages from RabbitMQ queues via exchanges. For example, one flow may send a message to a queue using a direct exchange, while a receiving flow gets messages from the same queue via the direct exchange.
The File connector allows Mule applications to exchange files with a file system. It can be used as an inbound endpoint, acting as a message source that triggers flows when new files are received, or as an outbound endpoint to pass files to a file system. When used as an inbound endpoint, the File connector polls a directory at a specified frequency and moves processed files based on configurable filters and patterns.
This document discusses EAI (Enterprise Application Integration) patterns using Spring Integration. It provides an overview of messaging, pipes and filters, and common EAI patterns. It then demonstrates how Spring Integration implements these patterns through its API, with an emphasis on messaging channels. Examples are given for sending and receiving JMS, AMQP, HTTP, and email messages. Common patterns like filtering, routing, splitting, and aggregating messages are also explained.
This document discusses the Servlet API and javax.servlet.http package for building servlets in Java. It explains that these contain classes and interfaces required for servlets, including lifecycle methods like init(), service(), and destroy(). It also describes the HttpServletRequest and HttpServletResponse classes for getting request information and sending HTTP responses from servlets.
Shipping your logs to elk from mule app/cloudhub part 1Alex Fernandez
This document provides an overview of shipping logs from a mule application or cloudhub to ELK (Elasticsearch, Logstash, and Kibana). It defines what server logs are, why they are needed for incident reports, access logs, and analytics. The key tools needed are the ELK stack for indexing and visualization, Docker/Docker Compose for building isolated app containers, and log4j configuration. ELK is described as the standard for operational intelligence, with Elasticsearch indexing logs, Logstash retrieving and forwarding logs, and Kibana visualizing and analyzing logs. Docker is discussed as disrupting system administration by enabling building isolated apps in containers using Docker Compose.
The document provides an implementation guide for WS-Reliable Messaging (WSRM) in the Verizon SUMS environment. It discusses:
1. Using interceptors on the client and server sides to implement WSRM, ensuring messages are sent and received reliably in the proper order.
2. Key aspects of the server-side Apache CXF setup like interceptor annotations and configurations, endpoint definitions, and resources like policies and WSDLs.
3. The roles of the main interceptors - OutInterceptors, InInterceptors, and FaultInterceptors - in reliably handling messages according to their phase order.
4. An example of a custom PhaseInInterceptor that handles
Apache Axis2/C is a web services engine implemented in C that allows for providing and consuming web services. It has an extensible module-based architecture that supports WS-* specifications. Key features include support for one-way and request-response messaging, a module system for extending SOAP processing, and transports like HTTP, TCP, and SMTP. The architecture separates logic and state using an information model and defines phases for processing incoming and outgoing SOAP messages that can be extended through modules and handlers.
This document discusses server-side programming and servlets. It defines a web application as an application accessible from the web, composed of web components like servlets that execute on the web server. It describes CGI technology and its disadvantages. It then discusses server-side scripting, why server-side programming is important for enterprise applications, and the advantages it provides over client-side programming. The document outlines different types of server-side programs and provides details on servlets, the servlet container, servlet API, and the servlet lifecycle.
[WSO2Con EU 2017] Writing Microservices Using MSF4JWSO2
This document provides an overview of WSO2 MSF4J, a lightweight Java framework for building microservices. It describes MSF4J's annotation-based programming model, support for Spring configuration, serverless execution, streaming, security, monitoring, and compares it to Spring Boot. MSF4J provides a simple way to define microservice APIs, built-in metrics and analytics, fast startup times, and low memory usage.
The document provides information on servlet fundamentals including definitions, applications, architecture, lifecycle, and development process. Some key points include:
- Servlets are Java programs that run on web servers and interact with clients via HTTP requests and responses. They provide dynamic content and process user input.
- Common servlet applications include search engines, e-commerce sites, and intranets.
- The servlet lifecycle includes initialization, processing requests, and destruction. Servlets remain loaded in memory between requests for improved performance over CGI.
- To develop a servlet, you create a class that implements the Servlet interface, define request handling methods, compile it, deploy it in a web container
The document discusses servlets and provides information about:
- Servlets are Java programs that run on a web or application server and act as a middle layer between HTTP requests and databases or applications.
- Servlets have advantages over CGI like better performance, portability, robustness, and security since they are implemented in Java.
- The servlet lifecycle includes initialization via init(), processing requests via service(), and termination via destroy().
- The javax.servlet and javax.servlet.http packages contain interfaces and classes for the servlet API.
The document discusses servlets and provides information about:
- Servlets are Java programs that run on a web or application server and act as a middle layer between HTTP requests and databases or applications.
- Servlets have advantages over CGI like better performance, portability, robustness, and security.
- The servlet lifecycle includes initialization via init(), processing requests via service(), and termination via destroy().
- The javax.servlet and javax.servlet.http packages contain interfaces and classes for the servlet API.
Web services allow software components to communicate over the web through standardized interfaces. There are two main types - RESTful web services which use HTTP methods to manipulate resources, and SOAP-based services which use XML messages over HTTP. A WSDL contract describes the operations, messages, and data types of a web service. JAX-WS and JAX-RS are Java APIs for creating web services that map Java methods to WSDL operations and SOAP/HTTP messages. RESTful services follow architectural constraints like using URIs to identify resources and HTTP methods to manipulate them.
This document discusses WCF routing and protocol bridging in Windows Communication Foundation (WCF). It describes how the routing service acts as a message router and client to route messages between endpoints that may have different transport or SOAP version requirements. It covers how filters can be used to examine messages and make routing decisions, and various types of filters like action and XPath filters. Finally, it shows an example of using a routing service to bridge between mismatched endpoints, enabling a client using one protocol to communicate with a server using a different protocol.
AWS Study Group - Chapter 07 - Integrating Application Services [Solution Arc...QCloudMentor
This document provides an overview of several AWS application services including SQS, SNS, Cognito, API Gateway, and WebSockets. It describes how SQS uses queues to asynchronously and reliably deliver messages between distributed components. SNS is a pub/sub messaging service that decouples systems using an event-driven model. Cognito provides authentication, authorization, and user management for web and mobile apps. API Gateway acts as a facade and endpoint for RESTful APIs. WebSockets in AWS can enable real-time communication using services like IoT and AppSync.
Windows Communication Foundation Extensionsgabrielcerutti
The document discusses Windows Communication Foundation (WCF) extensions. It describes the extensibility points throughout the WCF runtime that allow customizing service dispatching and client proxy invocation. These include points for parameter inspection, message formatting/inspection, operation selection, and operation invocation. Extensions are implemented using behaviors - classes that extend runtime behavior. Behaviors can be added programmatically or via attributes and configuration.
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 discusses .NET remoting and serialization. It begins by introducing application domains and distributed applications in .NET. It then covers the key concepts and components of .NET remoting including remoting namespaces, remotable objects, channels, formatters, and object lifetime management using leases. The document also compares .NET remoting to web services and discusses object marshalling and serialization.
This document summarizes the Rails request lifecycle and describes various middlewares used in Rails. It begins by explaining what a request is and how it travels from the browser to the Rails application. It then discusses the roles of the web server and app server. The bulk of the document describes each middleware in the Rails stack, from Rack middlewares to ActionDispatch middlewares to ActiveRecord middlewares. It explains what each middleware does to filter requests and responses. Finally, it outlines how the request travels through the middleware stack to the routes, controller, and back out again to complete the response sent to the client.
Server-side programming with Java servlets allows dynamic web content generation. Servlets extend the capabilities of web servers by responding to incoming requests. A servlet is a Java class that implements the servlet interface. It handles HTTP requests and responses by overriding methods like doGet() and doPost(). Servlets provide better performance than CGI by using threads instead of processes to handle requests. They also offer portability, robustness, and security due to being implemented in Java. Sessions allow servlets to maintain state across multiple requests from the same user by utilizing session IDs stored in cookies.
Server-side programming with Java servlets allows dynamic web content generation. A servlet is a Java class that extends HTTP servlet functionality. It handles HTTP requests and responses by overriding methods like doGet() and doPost(). Servlets offer benefits over older CGI technologies like improved performance through multithreading and portability through the Java programming language. Servlets communicate with clients via HTTP request and response objects, and can establish sessions to identify users across multiple requests.
The document discusses Java servlets and server-side programming. It defines servlets as Java programs that extend the capabilities of web servers. Servlets can respond dynamically to web requests and are used to create dynamic web content. The document outlines the servlet lifecycle and how servlets handle HTTP requests and responses through request and response objects. It also discusses advantages of servlets like performance and portability compared to older CGI technologies.
Http Service will help us fetch external data, post to it, etc. We need to import the http module to make use of the http service. Let us consider an example to understand how to make use of the http service.
Liit tyit sem 5 enterprise java unit 1 notes 2018 tanujaparihar
BSc IT Sem 5 Enterrprise Java Notes for free download exam oriented notes mumbai university advance java notes Java Server Side Technology notes,liit,liit coaching classes,liit dadar,liit andheri,liit notes
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Kerberos provides a centralized authentication server whose function is to authenticate users to servers and servers to users. In Kerberos Authentication server and database is used for client authentication. Kerberos runs as a third-party trusted server known as the Key Distribution Center (KDC).
Information and network security 46 digital signature algorithmVaibhav Khanna
The Digital Signature Algorithm (DSA) is a Federal Information Processing Standard for digital signatures, based on the mathematical concept of modular exponentiation and the discrete logarithm problem. DSA is a variant of the Schnorr and ElGamal signature schemes
Information and network security 45 digital signature standardVaibhav Khanna
The Digital Signature Standard is a Federal Information Processing Standard specifying a suite of algorithms that can be used to generate digital signatures established by the U.S. National Institute of Standards and Technology in 1994
Information and network security 44 direct digital signaturesVaibhav Khanna
The Direct Digital Signature is only include two parties one to send message and other one to receive it. According to direct digital signature both parties trust each other and knows there public key. The message are prone to get corrupted and the sender can declines about the message sent by him any time
Information and network security 43 digital signaturesVaibhav Khanna
Digital signatures are the public-key primitives of message authentication. In the physical world, it is common to use handwritten signatures on handwritten or typed messages. ... Digital signature is a cryptographic value that is calculated from the data and a secret key known only by the signer
Information and network security 42 security of message authentication codeVaibhav Khanna
Message Authentication Requirements
Disclosure: Release of message contents to any person or process not possess- ing the appropriate cryptographic key.
Traffic analysis: Discovery of the pattern of traffic between parties. ...
Masquerade: Insertion of messages into the network from a fraudulent source
Information and network security 41 message authentication codeVaibhav Khanna
Message authentication aims to protect integrity, validate originator identity, and provide non-repudiation. It addresses threats like masquerading, content or sequence modification, and source/destination repudiation. A Message Authentication Code (MAC) provides assurance that a message is unaltered and from the sender by appending a cryptographic checksum to the message dependent on the key and content. The receiver can validate the MAC to verify integrity and authenticity.
Information and network security 40 sha3 secure hash algorithmVaibhav Khanna
SHA-3 is the latest member of the Secure Hash Algorithm family of standards, released by NIST on August 5, 2015. Although part of the same series of standards, SHA-3 is internally different from the MD5-like structure of SHA-1 and SHA-2
Information and network security 39 secure hash algorithmVaibhav Khanna
The Secure Hash Algorithm (SHA) is a cryptographic hash function developed by the US National Security Agency. SHA-512 is the latest version that produces a 512-bit hash value. It processes message blocks of 1024 bits using an 80-step compression function that updates a 512-bit buffer. Each step uses a 64-bit value derived from the message and a round constant. SHA-512 supports messages up to 2^128 bits in length and adds between 1 and 1023 padding bits as needed.
Information and network security 38 birthday attacks and security of hash fun...Vaibhav Khanna
Birthday attack can be used in communication abusage between two or more parties. ... The mathematics behind this problem led to a well-known cryptographic attack called the birthday attack, which uses this probabilistic model to reduce the complexity of cracking a hash function
Information and network security 35 the chinese remainder theoremVaibhav Khanna
In number theory, the Chinese remainder theorem states that if one knows the remainders of the Euclidean division of an integer n by several integers, then one can determine uniquely the remainder of the division of n by the product of these integers, under the condition that the divisors are pairwise coprime.
Information and network security 34 primalityVaibhav Khanna
A primality test is an algorithm for determining whether an input number is prime. Among other fields of mathematics, it is used for cryptography. Unlike integer factorization, primality tests do not generally give prime factors, only stating whether the input number is prime or not
Information and network security 33 rsa algorithmVaibhav Khanna
RSA algorithm is asymmetric cryptography algorithm. Asymmetric actually means that it works on two different keys i.e. Public Key and Private Key. As the name describes that the Public Key is given to everyone and Private key is kept private
Information and network security 32 principles of public key cryptosystemsVaibhav Khanna
Public-key cryptography, or asymmetric cryptography, is an encryption scheme that uses two mathematically related, but not identical, keys - a public key and a private key. Unlike symmetric key algorithms that rely on one key to both encrypt and decrypt, each key performs a unique function.
Information and network security 31 public key cryptographyVaibhav Khanna
Public-key cryptography, or asymmetric cryptography, is a cryptographic system that uses pairs of keys: public keys, and private keys. The generation of such key pairs depends on cryptographic algorithms which are based on mathematical problems termed one-way function
Information and network security 30 random numbersVaibhav Khanna
Random numbers are fundamental building blocks of cryptographic systems and as such, play a key role in each of these elements. Random numbers are used to inject unpredictable or non-deterministic data into cryptographic algorithms and protocols to make the resulting data streams unrepeatable and virtually unguessable
Information and network security 29 international data encryption algorithmVaibhav Khanna
International Data Encryption Algorithm (IDEA) is a once-proprietary free and open block cipher that was once intended to replace Data Encryption Standard (DES). IDEA has been and is optionally available for use with Pretty Good Privacy (PGP). IDEA has been succeeded by the IDEA NXT algorithm
Information and network security 28 blowfishVaibhav Khanna
Blowfish is a symmetric block cipher designed as a replacement for DES. It encrypts data in 64-bit blocks using a variable-length key. The algorithm uses substitution boxes and a complex key schedule to encrypt the data in multiple rounds. It is very fast, uses little memory, and is resistant to cryptanalysis due to its complex key schedule and substitution boxes.
Information and network security 27 triple desVaibhav Khanna
Part of what Triple DES does is to protect against brute force attacks. The original DES symmetric encryption algorithm specified the use of 56-bit keys -- not enough, by 1999, to protect against practical brute force attacks. Triple DES specifies the use of three distinct DES keys, for a total key length of 168 bits
Stork Product Overview: An AI-Powered Autonomous Delivery FleetVince Scalabrino
Imagine a world where instead of blue and brown trucks dropping parcels on our porches, a buzzing drove of drones delivered our goods. Now imagine those drones are controlled by 3 purpose-built AI designed to ensure all packages were delivered as quickly and as economically as possible That's what Stork is all about.
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
Superpower Your Apache Kafka Applications Development with Complementary Open...Paul Brebner
Kafka Summit talk (Bangalore, India, May 2, 2024, https://events.bizzabo.com/573863/agenda/session/1300469 )
Many Apache Kafka use cases take advantage of Kafka’s ability to integrate multiple heterogeneous systems for stream processing and real-time machine learning scenarios. But Kafka also exists in a rich ecosystem of related but complementary stream processing technologies and tools, particularly from the open-source community. In this talk, we’ll take you on a tour of a selection of complementary tools that can make Kafka even more powerful. We’ll focus on tools for stream processing and querying, streaming machine learning, stream visibility and observation, stream meta-data, stream visualisation, stream development including testing and the use of Generative AI and LLMs, and stream performance and scalability. By the end you will have a good idea of the types of Kafka “superhero” tools that exist, which are my favourites (and what superpowers they have), and how they combine to save your Kafka applications development universe from swamploads of data stagnation monsters!
The Rising Future of CPaaS in the Middle East 2024Yara Milbes
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Boost Your Savings with These Money Management AppsJhone kinadey
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Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
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DECODING JAVA THREAD DUMPS: MASTER THE ART OF ANALYSISTier1 app
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How Can Hiring A Mobile App Development Company Help Your Business Grow?ToXSL Technologies
ToXSL Technologies is an award-winning Mobile App Development Company in Dubai that helps businesses reshape their digital possibilities with custom app services. As a top app development company in Dubai, we offer highly engaging iOS & Android app solutions. https://rb.gy/necdnt
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
How GenAI Can Improve Supplier Performance Management.pdfZycus
Data Collection and Analysis with GenAI enables organizations to gather, analyze, and visualize vast amounts of supplier data, identifying key performance indicators and trends. Predictive analytics forecast future supplier performance, mitigating risks and seizing opportunities. Supplier segmentation allows for tailored management strategies, optimizing resource allocation. Automated scorecards and reporting provide real-time insights, enhancing transparency and tracking progress. Collaboration is fostered through GenAI-powered platforms, driving continuous improvement. NLP analyzes unstructured feedback, uncovering deeper insights into supplier relationships. Simulation and scenario planning tools anticipate supply chain disruptions, supporting informed decision-making. Integration with existing systems enhances data accuracy and consistency. McKinsey estimates GenAI could deliver $2.6 trillion to $4.4 trillion in economic benefits annually across industries, revolutionizing procurement processes and delivering significant ROI.
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.
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.
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Building API data products on top of your real-time data infrastructureconfluent
This talk and live demonstration will examine how Confluent and Gravitee.io integrate to unlock value from streaming data through API products.
You will learn how data owners and API providers can document, secure data products on top of Confluent brokers, including schema validation, topic routing and message filtering.
You will also see how data and API consumers can discover and subscribe to products in a developer portal, as well as how they can integrate with Confluent topics through protocols like REST, Websockets, Server-sent Events and Webhooks.
Whether you want to monetize your real-time data, enable new integrations with partners, or provide self-service access to topics through various protocols, this webinar is for you!
Penify - Let AI do the Documentation, you write the Code.KrishnaveniMohan1
Penify automates the software documentation process for Git repositories. Every time a code modification is merged into "main", Penify uses a Large Language Model to generate documentation for the updated code. This automation covers multiple documentation layers, including InCode Documentation, API Documentation, Architectural Documentation, and PR documentation, each designed to improve different aspects of the development process. By taking over the entire documentation process, Penify tackles the common problem of documentation becoming outdated as the code evolves.
https://www.penify.dev/
The Role of DevOps in Digital Transformation.pdfmohitd6
DevOps plays a crucial role in driving digital transformation by fostering a collaborative culture between development and operations teams. This approach enhances the speed and efficiency of software delivery, ensuring quicker deployment of new features and updates. DevOps practices like continuous integration and continuous delivery (CI/CD) streamline workflows, reduce manual errors, and increase the overall reliability of software systems. By leveraging automation and monitoring tools, organizations can improve system stability, enhance customer experiences, and maintain a competitive edge. Ultimately, DevOps is pivotal in enabling businesses to innovate rapidly, respond to market changes, and achieve their digital transformation goals.
Soa 31 jax ws server side development architecture
1. Service Oriented Architecture: 31
Server Side Development
Prof Neeraj Bhargava
Vaibhav Khanna
Department of Computer Science
School of Engineering and Systems Sciences
Maharshi Dayanand Saraswati University Ajmer
2. Server side capabilities of JAX-WS
• A Java EE 5 container provides deployment services for publishing Web
services endpoints and run-time services for processing Web services
requests, responses, and faults.
• Deployment of security services and the run-time implementation of
security are also Server side concerns.
• The handler framework in the Java API for XML Web Services (JAX-WS)
allows applications to address cross-cutting and/or system-level concerns
by opening the service and client runtimes for applications to plug in
modular components.
• Reusability of these components across the services portfolio is one
obvious benefit that this framework brings to service delivery.
• This mechanism also allows the separation of the most fundamental
concerns of application software in Web services development, effectively
abstracting the system service into handlers and leaving the clients and
services to focus on business logic.
4. Server Side Invocation Architecture
• 1. The client starts by getting the WSDL for the Web service that has been
deployed.
• WSEE requires that a JAX-WS provider support URL publication.
• Publishing the WSDL at a URL of that form is a common convention across
Web Services providers, but is not mandated by any standard.
• 2. Based on the WSDL, the client composes a SOAP request and does an
HTTP POST1 to the URL specified by the soap:address’s location attribute.
• 3. The HTTP request containing the SOAP message is received by the
Endpoint Listener. This listener is a servlet.
• The listener servlet passes the HTTP request along to the Dispatcher. The
Dispatcher may be implemented as a separate class from the Endpoint
Listener, or the two may be combined, but the functionality is logically
distinct.
• The Dispatcher’s job is to look up the correct Web service endpoint
implementation and dispatch the HTTP request to that endpoint.
5. Server Side Invocation Architecture
• 4. At this stage, the request processing transitions to the JAX-WS run-time
system. Along with the request, the JAX-WS has received from the
Dispatcher a description of the correct endpoint.
• A javax.xml.ws.handler.MessageContext is built from the contents of the
HTTP request. In this case (since we are talking about SOAP), the message
context is an instance of javax.xml.ws.handler. soap.SOAPMessageContext
and contains the SOAP request as a SAAJ SOAPMessage.
• This SOAPMessageContext is processed by the SOAP protocol binding
before the actual Web service endpoint is invoked.
• The SOAP protocol binding is an example of a JAX-WS protocol binding.
• The primary responsibilities of such aJAX-WS protocol binding are to
extract the message context from the transport protocol (e.g., SOAP/HTTP
or XML/HTTP); process the message context through the handlers that
have been configured for the Web service endpoint; and configure the
result (either a response or an exception) to be sent back to the client
using the appropriate transport.
6. Server Side Invocation Architecture
• 5. Next, the SOAP protocol binding invokes each handler in its
associated handler chain. The handlers associated with the
endpoint are defined by a deployment descriptor file that is
specified by the @HandlerChain annotation on the service
implementation bean.
• Handlers provide developers with the capability of preprocessing a
message context before the endpoint gets invoked.
• Examples of the types of processing typically done by server-side
handlers include persisting a message to provide recovery in the
event of a server crash; encryption/decryption; sequencing (i.e.,
examining message header sequence IDs to ensure that messages
are delivered in order); and so on.
• SOAP header processing is usually done by handlers, but the JAX-
WS framework provides handlers with access to the SOAP body as
well.
7. Server Side Invocation Architecture
• 6. After the inbound handlers are finished, the SOAP message is
unmarshalled into instances of the Java objects that are used to
invoke the endpoint method.
• This unmarshalling process is governed by the JAX-WS WSDL to Java
mapping and the JAXB 2.0 XML to Java mapping.
• The WSDL to Java mapping determines (from the wsdl:operation)
which endpoint method to invoke based on the structure of the
SOAP message.
• And the JAXB runtime serializes the SOAP message into the
parameters required to invoke that method.
• If the deployed service implementation bean is an implementation
of javax.xml.ws.Dispatch<T>, this process is much simpler. In that
case, the message payload is simply passed to the Dispatch.invoke()
method and the implementation processes the XML directly.
8. Server Side Invocation Architecture
• 7. The last step of the inbound request processing
is the invocation of the appropriate method on
the deployed service implementation bean.
• After invocation, the process is reversed.
• The return value from the invocation (along with
any parameters that have been declared OUT or
IN/OUT) is marshaled to a SOAP response
message of the appropriate form based on the
JAX-WS WSDL to Java mapping and the JAXB 2.0
XML to Java mapping.
9. Server Side Invocation Architecture
• 8. The outbound response processing invokes the handlers
(in reverse order) again.
• If at any point, during inbound handler processing,
endpoint invocation, or outbound handler processing, an
unhandled exception is thrown, the SOAP Fault Processing
component maps the exception to a SOAP fault message.
• In either case, SOAP fault or SOAP response message, the
SOAP protocol binding formats the result for the
appropriate transport (e.g., SOAP/HTTP).
• 9. Lastly, the Endpoint Listener servlet completes its
processing and sends back the result received from the
Dispatcher as an HTTP response to the client.