Maven is a build tool that manages Java projects and their dependencies. It uses a POM (Project Object Model) file to describe build configuration including dependencies, plugins, and reports. The document discusses using Maven to build a sample Java project with modules including data, EJB, and web application components. Maven allows each component to be built independently and deployed as JAR, EJB-JAR, and WAR artifacts. XDoclet and other plugins are used to generate code and handle deployment details.
This document discusses Mule, an open source enterprise service bus (ESB). It describes Mule's architecture including connectors, transformers, routers and message processing capabilities. Mule aims to provide integration, flexibility, decentralized operation and scalability through separation of concerns. However, its generality results in complexity, ambiguity with standards, and limited support for runtime refactoring and conceptualization.
The document discusses using the Database component in Mule to connect to a database and execute SQL queries. It provides an example Mule flow that defines a JDBC connection to an MS SQL database, uses the Database connector to run a SELECT query, and logs the results. The flow is triggered by an HTTP request and returns the query results via the response.
The document discusses using the Mule Database connector to connect to a SQL database and execute queries. It includes XML configuration for a Mule flow that defines a JDBC data source and connector, and uses the Database outbound endpoint to execute a SELECT query on a table. The output shows the flow logging the payload containing the results of the query.
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties work.
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.
This document discusses using the until-successful scope in Mule applications. The until-successful scope will retry messages through its processors until the process succeeds or the maximum retries are reached. An example Mule flow is provided that uses an until-successful scope with a VM outbound endpoint to retry a database query up to 5 times if it initially fails. The document also provides a link to the Mule documentation on the until-successful scope for more information.
This tutorial explains how to use the Dropbox connector in Mulesoft to authorize a Dropbox account, get account details, create a folder, and logout. The Dropbox connector must be configured with an app key and secret from the Dropbox developer dashboard. A flow is then created to call Dropbox operations like authorize, get account details, create a folder, and unauthorize.
This document discusses how to scale Mule applications globally through techniques like parallel processing, asynchronous tasks, orchestration, messaging backbones, clustering, and load balancing. It describes common problems with performance, integration, security, and transactions in large enterprises and how Mule addresses these through features such as transactions, computation optimization, identifying bottlenecks, and using external services like databases and messaging infrastructure.
This document discusses Mule, an open source enterprise service bus (ESB). It describes Mule's architecture including connectors, transformers, routers and message processing capabilities. Mule aims to provide integration, flexibility, decentralized operation and scalability through separation of concerns. However, its generality results in complexity, ambiguity with standards, and limited support for runtime refactoring and conceptualization.
The document discusses using the Database component in Mule to connect to a database and execute SQL queries. It provides an example Mule flow that defines a JDBC connection to an MS SQL database, uses the Database connector to run a SELECT query, and logs the results. The flow is triggered by an HTTP request and returns the query results via the response.
The document discusses using the Mule Database connector to connect to a SQL database and execute queries. It includes XML configuration for a Mule flow that defines a JDBC data source and connector, and uses the Database outbound endpoint to execute a SELECT query on a table. The output shows the flow logging the payload containing the results of the query.
This document discusses using message properties in Mule applications. It provides an example Mule configuration file that demonstrates setting message properties in different scopes and logging their values. The example shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow to illustrate how message properties work.
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.
This document discusses using the until-successful scope in Mule applications. The until-successful scope will retry messages through its processors until the process succeeds or the maximum retries are reached. An example Mule flow is provided that uses an until-successful scope with a VM outbound endpoint to retry a database query up to 5 times if it initially fails. The document also provides a link to the Mule documentation on the until-successful scope for more information.
This tutorial explains how to use the Dropbox connector in Mulesoft to authorize a Dropbox account, get account details, create a folder, and logout. The Dropbox connector must be configured with an app key and secret from the Dropbox developer dashboard. A flow is then created to call Dropbox operations like authorize, get account details, create a folder, and unauthorize.
This document discusses how to scale Mule applications globally through techniques like parallel processing, asynchronous tasks, orchestration, messaging backbones, clustering, and load balancing. It describes common problems with performance, integration, security, and transactions in large enterprises and how Mule addresses these through features such as transactions, computation optimization, identifying bottlenecks, and using external services like databases and messaging infrastructure.
MuleSoft Consuming Soap Web Service - CXF jax-ws-client ModuleVince Soliza
This document discusses consuming SOAP web services using the Mulesoft CXF JAX-WS client module. It describes generating a Java stub client from a WSDL contract using CXF's wsdl2java utility, creating a main flow with HTTP listener and transformers and a CXF client flow, and configuring the cxf:jax-ws-client component with properties like clientClass, port, and wsdlLocation to invoke the web service operation and return the response.
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow after being passed between the flows.
This document describes using DataWeave in Mule ESB to transform XML input into a Java object. It includes an XML input file, Mule flow configuration with a DataWeave transform, and a User Java class. The DataWeave transform defines a 'user' object type and maps the XML elements to fields on the User class, setting the payload to a User instance.
Anypoint Runtime Manager allows deploying Mule applications to CloudHub or on-premises servers running Mule runtime. While the basics are the same, the deployment targets offer different management features due to using different Mule Agents. When deploying to CloudHub, applications use legacy Mule Agent functionality, while deployments to managed servers use new Mule Agent features. The document outlines key differences in areas like load balancing, disk persistence, high availability, logging, and more between the deployment options.
This document discusses using the Quartz component in Mule applications to schedule tasks to run at predefined times. It provides an example of a "hello world" flow that uses a Quartz inbound endpoint to trigger a flow every 10 seconds that logs a message. The benefits of Quartz are also listed, such as being able to run jobs embedded within an application or standalone.
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:
The document describes how to use expression filters in Mule applications. It shows an example Mule flow that uses a message properties transformer to add a session property, a logger to display the property, an expression filter to check the property value, and a VM endpoint to call a second flow if the filter passes. The output log shows the flows executing and displaying the session property value.
Mule is an open source enterprise service bus (ESB) that addresses integration problems by enabling the refactoring of existing systems in real-time as requirements change. It provides routing, transformation, and management of messages between disparate systems. Mule uses connectors to integrate applications together through its flow-based visual programming model and supports many transports and protocols.
Connectors in Mule flows allow communication between Mule and external systems. There are two types of connectors: endpoint-based and operation-based. Endpoint-based connectors follow a request-response pattern and are configured as inbound or outbound endpoints. Operation-based connectors perform a specific operation like query or upsert. Some connectors require global configuration for connection information that can be shared across multiple uses of that connector type in a flow. Common connectors include HTTP, FTP, JMS, and Salesforce.
The document discusses the selection and use of Mule ESB as the integration platform. It describes how Mule was chosen over other open source ESBs based on criteria like maintenance, support, licensing, and performance. Intensive tests uncovered some issues with Mule 3.1.1 that were reported and addressed. Examples of how Mule was used include deploying it as a web application, integrating data sources, and building APIs. A custom lightweight Mule distribution was also created for optimal performance. The infrastructure migration involved a staged approach, integrating applications gradually over several phases.
Mule is an open-source enterprise service backbone (ESB) that allows users to move data between different endpoints and applications in a flexible way. It uses a universal message object and XML configuration to define message processing pipelines. These pipelines can include operations like validation, transformation, splitting and merging of XML files. Mule also provides routing functionality and handles exceptions that occur during message processing.
This document discusses using Quartz, an open source job scheduling framework, in Mule applications. It provides a hello world example of configuring a Quartz inbound endpoint in XML that triggers a flow every 10 seconds to log "Hello world". Quartz can be used to schedule tasks to run on predefined dates and times and can be run embedded, within an application server, as a standalone program, or clustered for load balancing and failover.
The document discusses using the ForEach component in Mule applications. The ForEach component splits a collection into elements and processes them iteratively through embedded processors. It then returns the original message to the flow. The example shows a flow that uses a ForEach component to iterate over results from a database query and log each element.
This document discusses sending email attachments using Mule ESB's SMTP connector. It describes how to configure a Mule flow to read a file from a source directory using the file inbound endpoint, transform it to a string using the file-to-string transformer, attach it to the message using the attachment transformer, and send it in an email using the SMTP outbound endpoint. The email will be sent to the specified recipient address with the file attached.
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
This document describes using DataWeave in Mule ESB to transform XML input into a Java object. It includes an XML input file, Mule flow configuration with a DataWeave transform, and a User Java class. The DataWeave transform defines a 'user' object type and maps the XML elements to fields on the User class, setting the payload to a User instance.
Web services allow programs to communicate over the web through standard protocols like HTTP and SOAP. They evolved from earlier technologies like RPC and CORBA to address issues of interoperability, firewall traversal, and complexity. Key components of web services include XML for data exchange, SOAP for communication, WSDL for describing services, and UDDI for discovering them. A web service follows a publish, find, bind model where providers publish services to a registry, clients find services, and then bind and invoke them.
This document discusses consuming RESTful and SOAP web services from MuleSoft. It covers using the HTTP Request connector and Web Service Consumer connector to call external APIs, optionally using a RAML definition for REST APIs. Parameters can be passed to REST services using URI, query, and form parameters. The document also introduces RAML as a standard for describing RESTful APIs.
MULE SOAP web services allow for the integration of applications and systems through simple object access protocol (SOAP). SOAP is a standard protocol for exchanging XML-based messages over computer networks, normally using HTTP/HTTPS. MULE provides connectors and components to easily create and consume SOAP web services.
MuleSoft Consuming Soap Web Service - CXF jax-ws-client ModuleVince Soliza
This document discusses consuming SOAP web services using the Mulesoft CXF JAX-WS client module. It describes generating a Java stub client from a WSDL contract using CXF's wsdl2java utility, creating a main flow with HTTP listener and transformers and a CXF client flow, and configuring the cxf:jax-ws-client component with properties like clientClass, port, and wsdlLocation to invoke the web service operation and return the response.
This document discusses using message properties in Mule applications. It provides an example Mule flow that demonstrates setting message properties in different scopes and logging their values. The flow shows setting a property in the session scope and outbound scope in one flow, and accessing the same properties from the inbound scope in a second flow after being passed between the flows.
This document describes using DataWeave in Mule ESB to transform XML input into a Java object. It includes an XML input file, Mule flow configuration with a DataWeave transform, and a User Java class. The DataWeave transform defines a 'user' object type and maps the XML elements to fields on the User class, setting the payload to a User instance.
Anypoint Runtime Manager allows deploying Mule applications to CloudHub or on-premises servers running Mule runtime. While the basics are the same, the deployment targets offer different management features due to using different Mule Agents. When deploying to CloudHub, applications use legacy Mule Agent functionality, while deployments to managed servers use new Mule Agent features. The document outlines key differences in areas like load balancing, disk persistence, high availability, logging, and more between the deployment options.
This document discusses using the Quartz component in Mule applications to schedule tasks to run at predefined times. It provides an example of a "hello world" flow that uses a Quartz inbound endpoint to trigger a flow every 10 seconds that logs a message. The benefits of Quartz are also listed, such as being able to run jobs embedded within an application or standalone.
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:
The document describes how to use expression filters in Mule applications. It shows an example Mule flow that uses a message properties transformer to add a session property, a logger to display the property, an expression filter to check the property value, and a VM endpoint to call a second flow if the filter passes. The output log shows the flows executing and displaying the session property value.
Mule is an open source enterprise service bus (ESB) that addresses integration problems by enabling the refactoring of existing systems in real-time as requirements change. It provides routing, transformation, and management of messages between disparate systems. Mule uses connectors to integrate applications together through its flow-based visual programming model and supports many transports and protocols.
Connectors in Mule flows allow communication between Mule and external systems. There are two types of connectors: endpoint-based and operation-based. Endpoint-based connectors follow a request-response pattern and are configured as inbound or outbound endpoints. Operation-based connectors perform a specific operation like query or upsert. Some connectors require global configuration for connection information that can be shared across multiple uses of that connector type in a flow. Common connectors include HTTP, FTP, JMS, and Salesforce.
The document discusses the selection and use of Mule ESB as the integration platform. It describes how Mule was chosen over other open source ESBs based on criteria like maintenance, support, licensing, and performance. Intensive tests uncovered some issues with Mule 3.1.1 that were reported and addressed. Examples of how Mule was used include deploying it as a web application, integrating data sources, and building APIs. A custom lightweight Mule distribution was also created for optimal performance. The infrastructure migration involved a staged approach, integrating applications gradually over several phases.
Mule is an open-source enterprise service backbone (ESB) that allows users to move data between different endpoints and applications in a flexible way. It uses a universal message object and XML configuration to define message processing pipelines. These pipelines can include operations like validation, transformation, splitting and merging of XML files. Mule also provides routing functionality and handles exceptions that occur during message processing.
This document discusses using Quartz, an open source job scheduling framework, in Mule applications. It provides a hello world example of configuring a Quartz inbound endpoint in XML that triggers a flow every 10 seconds to log "Hello world". Quartz can be used to schedule tasks to run on predefined dates and times and can be run embedded, within an application server, as a standalone program, or clustered for load balancing and failover.
The document discusses using the ForEach component in Mule applications. The ForEach component splits a collection into elements and processes them iteratively through embedded processors. It then returns the original message to the flow. The example shows a flow that uses a ForEach component to iterate over results from a database query and log each element.
This document discusses sending email attachments using Mule ESB's SMTP connector. It describes how to configure a Mule flow to read a file from a source directory using the file inbound endpoint, transform it to a string using the file-to-string transformer, attach it to the message using the attachment transformer, and send it in an email using the SMTP outbound endpoint. The email will be sent to the specified recipient address with the file attached.
The document discusses using expression filters in Mule applications. It provides an example Mule configuration file that uses an expression filter to check the value of a session variable and route the message to a second flow if the value is not equal to "mule". The output shows the message being logged in both flows, demonstrating that the expression filter passed the message to the second flow since the session variable value was "mule studio" rather than just "mule".
This document demonstrates how to use expression filters in Mule applications. It shows an example Mule configuration file with two flows, one that sets a session property and logs it, and another that is called conditionally by the first flow via a VM endpoint based on the expression filter evaluation of the session property. The output log shows the session property being set and logged in both flows, demonstrating the expression filter functionality.
This document describes using DataWeave in Mule ESB to transform XML input into a Java object. It includes an XML input file, Mule flow configuration with a DataWeave transform, and a User Java class. The DataWeave transform defines a 'user' object type and maps the XML elements to fields on the User class, setting the payload to a User instance.
Web services allow programs to communicate over the web through standard protocols like HTTP and SOAP. They evolved from earlier technologies like RPC and CORBA to address issues of interoperability, firewall traversal, and complexity. Key components of web services include XML for data exchange, SOAP for communication, WSDL for describing services, and UDDI for discovering them. A web service follows a publish, find, bind model where providers publish services to a registry, clients find services, and then bind and invoke them.
This document discusses consuming RESTful and SOAP web services from MuleSoft. It covers using the HTTP Request connector and Web Service Consumer connector to call external APIs, optionally using a RAML definition for REST APIs. Parameters can be passed to REST services using URI, query, and form parameters. The document also introduces RAML as a standard for describing RESTful APIs.
MULE SOAP web services allow for the integration of applications and systems through simple object access protocol (SOAP). SOAP is a standard protocol for exchanging XML-based messages over computer networks, normally using HTTP/HTTPS. MULE provides connectors and components to easily create and consume SOAP web services.
Web services allow applications to communicate over the World Wide Web through standard protocols like HTTP and XML. There are two main types of web services: REST services which rely on HTTP verbs to manipulate resources identified by URIs, and SOAP services which use XML messages over HTTP to invoke operations defined in a WSDL file. SOAP services require more complex development with WSDL, stubs, and SOAP toolkits compared to the simpler REST approach.
This document discusses choice exception strategies in Mule. It defines an exception as an event that disrupts normal program flow. Choice exception strategies allow configuring different exception handling logic based on the exception type. The document provides an XML example of a flow that uses a choice exception strategy with two catch exception strategies - one to handle NullPointerExceptions and one to handle ArithmeticExceptions. When this flow is called, the response will contain the message returned from the appropriate error handler Java class based on the exception thrown.
Java is a popular programming language that is used widely, including for Android apps, web applications, Hadoop, and more. This extensive course covers all topics related to Java programming over 12 hours of video lessons, including Java syntax, object-oriented programming, polymorphism, exceptions, generics, streams, concurrency, data structures, and build tools. The goal is to help students become expert Java developers by learning all of Java's concepts and features.
This document discusses how Mule ESB handles errors and exceptions. It describes the different types of exceptions in Mule including system exceptions. It also covers the default exception strategies in Mule like message and global exception strategies as well as how to configure custom global exception strategies either through the UI or XML configuration. Mule ESB can be deployed either on its standalone server or on application servers like Amazon, WebLogic, and WebSphere with configuration tweaks.
This document discusses consuming RESTful and SOAP web services from MuleSoft. It covers using the HTTP Request connector and Web Service Consumer connector to call external APIs, optionally using a RAML definition for REST APIs. Parameters can be passed to REST services using URI, query, and form parameters. The document also introduces RAML as a standard for describing RESTful APIs.
This document provides an overview of the key features and functionality available in the Mule Management Console (MMC). It describes the various tabs in the MMC interface, including the Dash Board, Servers, Deployments, Flow Analyzer, Business Events, Alerts, and Administration tabs. The Servers tab allows viewing and managing servers and server groups. The Deployments tab is used to deploy and undeploy applications. The Flow Analyzer tab enables analyzing Mule flows. Business Events and Alerts tabs provide information on transactions, errors, and alerts. The Administration tab manages users and schedules utility scripts.
SOA is an approach to developing enterprise systems by loosely coupling interoperable services from separate systems to perform discrete tasks. A crucial aspect of SOA is service orchestration, which is the coordination and arrangement of multiple services to create higher-level business services through message exchange according to a predetermined business logic. Service orchestration works through a central messaging engine like an ESB and enables the automation of business processes by coupling services across different applications. Mule ESB offers flexibility for service orchestration by making it possible to reuse and exchange services and messages of any format within and outside the enterprise.
The document discusses token management using Stormpath in Mule. Stormpath is a hosted API service that allows for easy creation and management of user accounts and authentication. It provides advantages like token-based authentication, single sign-on, user authorization controls, and social login integration. When using Stormpath with Mule, a Mule connector allows for administrative functions. Mule flows can be configured to get and retrieve tokens for authentication.
The document provides an overview of core concepts in Mule including the model layer, services, transports, connectors, endpoints, transformers, routers, filters, and components. The model layer defines Mule's runtime environment and behavior for processing asynchronous messages. Services are composed of Mule entities that process specific requests defined by a configuration. Transports handle message receiving and sending via connectors like File, JDBC, HTTP, etc. Endpoints define entry and exit points for messages. Transformers optionally change message formats. Routers control message flow. Filters optionally filter incoming/outgoing messages. Components contain business logic.
Mule latest -3.8 unifies the API Gateway extensions with the core Mule runtime, simplifying development and operations. The release also improves debugging with more detailed error messages and connector data. Mule HA includes new quorum and persistence features for improved resilience in cloud environments. Additional enhancements include DataWeave support for flat files, browsing WSDLs in Exchange, TLS improvements, and nested test folders in MUnit.
MULE SOAP web services allow for the integration of applications and systems through Simple Object Access Protocol (SOAP). SOAP is a protocol for exchanging XML-based messages over computer networks, normally using HTTP/HTTPS. MULE provides connectors and components to easily create and consume SOAP web services.
The document discusses exposing a CXF web service in Mule by decomposing the flow into smaller parts connected by VM components. This allows breaking the logic into smaller pieces to improve performance and control. It provides an example configuration with two flows, one for the CXF component and one for the implementation class connected by a VM queue. Properties are stored before sending to the VM to preserve them across flows. Other VM techniques will be discussed in the next slides.
SOA is an approach to developing enterprise systems by loosely coupling interoperable services from separate systems to perform discrete tasks. A crucial aspect of SOA is service orchestration, which is the coordination and arrangement of multiple services to create higher-level business services through message exchange according to a predetermined business logic. Service orchestration works through a central messaging engine like an ESB to route and transform messages between services so that composite applications can run as demanded. Mule ESB offers flexibility for service orchestration by allowing the reuse of any service component and message format both within and outside the enterprise.
The document discusses exception handling strategies in Mule. It defines an exception as an event that disrupts normal program flow. Mule has different exception strategies, including catch exception strategy. The catch exception strategy commits transactions and consumes messages when exceptions are thrown. The document provides an XML code example of configuring a flow with a catch exception strategy that catches a divide by zero exception and routes it to a Java class for handling.
DataWeave is a template engine that transforms data between formats like XML, CSV, JSON. It has a header section for directives and a body section that describes the output structure. The header defines metadata and the body contains expressions that generate the output data model, which can be objects, arrays or literals. An example shows transforming XML input to JSON output by mapping elements to keys in the output object defined in the DataWeave body.
The document discusses Mule applications and flows, including that Mule applications accept and process messages through a series of message processors plugged together in a flow. It also discusses Mule messages, which contain a payload, inbound properties set from the message source, outbound properties added by message processors, and optional attachments. The objectives are to learn about building integration applications with Anypoint Studio using connectors, transformers, and other components to create and test Mule applications.
Anypoint Platform is built to eliminate pain and cost of point-to-point integration by unifying business processes across applications, data sources, and APIs. The latest release brings together MuleSoft's leading application integration with powerful data integration capabilities. It enables customers to be successful at all stages of integration from point-to-point data sync to service orchestration to API management.
Maven is a build tool used to manage Java projects and automate build processes. It is based on the Project Object Model (POM) which describes project dependencies, build properties, and reporting. Maven uses a local repository of dependencies to resolve dependencies and allow projects to inherit common configuration through the POM. It defines goals to automate common tasks like compiling, testing, packaging, and deploying project artifacts.
Maven is a build tool used to manage Java projects and automate build processes. It is based on the Project Object Model (POM) and uses repositories to retrieve dependencies. Maven projects have a standard directory structure and are composed of parent projects and child modules. The POM defines project details like dependencies, reports, and build configuration. Maven can generate artifacts like JARs, WARs, and EARs through its plugins and goals. It handles tasks like compiling, testing, packaging, and deploying in an automated way.
This document provides an overview of Maven, including:
- Maven is a build tool that manages Java projects and dependencies through XML POM files.
- Projects are built from local and remote repositories of dependencies specified in POMs.
- The document outlines the directory structure for Maven projects including components, source files, and generated artifacts.
- Maven plugins are used to generate documentation, compile code, test, package artifacts and more through goals defined in POM files.
This document provides an overview of Maven, including:
- Maven is a build tool that manages Java projects and their dependencies. It uses a Project Object Model (POM) file to manage build configuration.
- Maven downloads dependencies from remote repositories and caches them in a local repository. It manages three types of dependencies - compile, test, and runtime.
- The document demonstrates how to configure a sample Java project with Maven that includes common data, EJB, and web application components. It describes the project structure and how dependencies are defined in the POM file.
This document provides an overview of Maven, including:
- Maven is a build tool that manages Java projects and their dependencies. It uses a Project Object Model (POM) file to describe the project.
- Maven downloads dependencies from remote repositories and caches them in a local repository. It manages three types of artifacts: JARs, POMs, and "sources" JARs.
- The POM file describes the project, its dependencies, developers, mailing lists, licenses, and other metadata. It also defines the build configuration and reports.
- Maven projects have a standard directory structure and lifecycle of goals like compile, test, package, install, and deploy. Plugins are used to
Maven is a build tool that manages Java projects and automates tasks like compiling code, running tests, generating reports and managing dependencies. It uses a Project Object Model (POM) file to store build configuration and metadata. Maven projects can contain parent and child subprojects, each with their own POM. It builds projects in a defined order and generates artifacts like JARs and WARs that can be deployed. Maven plugins are used to perform tasks like compiling, testing, packaging and deploying the project.
This document discusses using Maven to build and manage Java projects. It describes how to create a new Maven project with different components like EJBs, data, and web applications. It outlines the directory structure for the overall project and each sub-project. It also explains the project object model (POM) file which is used to describe the project, its dependencies, build configuration, and reports. The POM sections cover project management details, dependencies, build configuration including source and test directories, and reports to generate.
This document discusses using Maven to build and manage Java projects. It describes how to create a new Maven project with different components like EJBs, data, and web applications. It outlines the directory structure for the overall project and each sub-project. It also explains the project object model (POM) file which is used to describe the project, its dependencies, build configuration, and reports. The POM sections cover project management details, dependencies, build configuration including source and test directories, and defined reports.
This document discusses using Maven to build and manage Java projects. It describes how to create a new Maven project with different components like EJBs, data, and web applications. It outlines the directory structure for the overall project and each sub-project. It also explains the project object model (POM) file which is used to describe the project, its dependencies, build configuration, and reports. The POM sections cover project management details, dependencies, build configuration including source and test directories, and defined reports.
This document describes how to create and manage Java projects using Maven. It discusses creating a new Maven project and the directory structure for the project and subprojects. The project object model (POM) defines project details like management information, dependencies, and reports. The POM specifies source locations, dependencies, and reports to generate like JUnit and Javadoc reports.
This document describes how to create and manage Java projects using Maven. It discusses creating a new Maven project and the directory structure for the project and subprojects. The project object model (POM) defines project details like management information, dependencies, and reports. The POM specifies source code locations, dependencies, and reports to generate like JUnit and Javadoc reports.
JDeveloper 12c includes improved support for application lifecycle management tools like Maven. It allows for full integration of Maven projects and goals within JDeveloper. Some key features include a pom editor, dependency management, execution of Maven goals from within the IDE, and a repository synchronization plugin. However, the support is not perfect and projects still depend on the JDeveloper installation and some issues remain like limitations of the pom editor and inability to customize goals.
This is a talk I gave recently to the department of Computer Science at University of Illinois at Chicago on Apache Maven. Hope it's useful.
http://www.cs.uic.edu/Main/NewsItem?audience=public&ind=498
Maven is a build system that provides:
1) A standard directory structure for projects;
2) A standard build lifecycle of phases like compile, test, package; and
3) The ability to override defaults through plugins.
The document then discusses several key aspects of Maven including:
1) The standard Maven directory structure for source code, resources, and test code;
2) The default Maven lifecycle phases like compile, test, package; and
3) The pom.xml file which is Maven's build specification and configuration file.
Juggling Java EE with Enterprise Apache Mavenelliando dias
This document discusses using Maven to manage the build and deployment of Java EE applications. It covers:
1. The components of Java EE applications like EJBs, web services, WARs, and EARs and how to structure them in Maven.
2. How to configure the Maven plugins for each type of artifact like the maven-ejb-plugin, maven-war-plugin, and maven-ear-plugin.
3. Tips for testing the different types of artifacts and deploying the finished application with tools like Cargo.
This document provides an overview of Maven, an open-source tool for managing Java projects. Maven uses a Project Object Model (POM) file to describe a project's dependencies, build instructions, and other metadata. It standardizes project structures and handles dependency resolution from local, central, and remote repositories. Maven projects are configured through the POM file rather than custom build scripts, making builds more consistent and reusable across projects.
Intelligent Projects with Maven - DevFest IstanbulMert Çalışkan
The document discusses Maven, an open source build automation tool used primarily for Java projects. It provides an overview of Maven's key features like dependency management, build lifecycles, and the project object model (POM). The presentation also demonstrates how to create a basic Maven project, configure dependencies and repositories, and manage multi-module builds.
Maven is a Java project management and build tool that uses a Project Object Model (POM) defined in XML files to manage a project's build, reporting and documentation from a central information source. It is based on a small core with numerous plugins that can be used to compile code, run tests, generate documentation and more. Maven uses local and remote repositories to download dependencies and build artifacts that projects specify in their POM files.
Maven is a Java project management and build tool that uses a Project Object Model (POM) defined in XML files to manage a project's build, reporting and documentation from a central information source. It is based on a small core with numerous plugins that can be used to compile code, run tests, generate documentation and more. Maven uses local and remote repositories to download dependencies and build artifacts that projects specify in their POM files.
Maven is a Java project management and build tool that uses a Project Object Model (POM) defined in XML files to manage a project's build, reporting and documentation from a central information source. It is based on a small core with numerous plugins that can be used to compile code, run tests, generate documentation and more. Maven uses local and remote repositories to download dependencies and build artifacts that projects specify in their POM files.
Jenkins is an open source automation server that enables developers to easily automate builds and tests of software projects. It was originally forked from Hudson in 2011 and is written in Java. Jenkins supports continuous integration workflows and can integrate with source code management systems and build tools. It has over 400 plugins that add additional functionality for testing, notifications, artifact storage, and more.
The document discusses Jenkins, an open source continuous integration tool. It provides an overview of continuous integration and how Jenkins fits into the continuous integration workflow by automating the build, testing and deployment processes. Jenkins allows teams to focus on their work by handling these processes on a regular basis. The document outlines Jenkins' core functionality, flexibility and wide range of supported plugins that make it suitable for various environments.
The document discusses key technologies for implementing web services:
- SOAP defines a standard XML format for exchanging messages between web services.
- WSDL provides a standard way to describe the operations and parameters of a web service.
- UDDI allows web services to register themselves so that clients can discover what services are available.
Together these standards (SOAP, WSDL, UDDI) form the core architecture for enabling programmatic access and interaction between distributed web services applications.
Web services allow different software applications running on various platforms and programming languages to communicate and share resources. They use open standards like XML, SOAP and WSDL. SOAP is a messaging protocol that uses XML to transmit data over networks like the internet. WSDL describes web services and how other applications can access them. Altova provides tools like XMLSpy that help develop, test and debug web services using standards like SOAP and WSDL.
WSDL defines web services by describing what operations they perform, how they are accessed, and where they are located. It includes elements for defining message types, port types for operations, bindings for protocol and data format details, and services with endpoint addresses. A sample WSDL is provided for a getQuote operation that returns a stock price, demonstrating how the various elements come together to define the service. WSDL documents can be converted to code by various tools to generate client and service code for web services.
UDDI is a registry for Web services that allows services to publish their details and be discovered by clients. It defines data structures like businessEntity, businessService, and tModel to describe services. UDDI registries can be queried using the Inquiry API to find services, or the Publishing API to register new services. While UDDI aimed to be a universal registry, issues around search, private registries, and lack of standardization led to it seeing limited adoption for Web service discovery.
The document discusses SOAP services in Mule ESB. It begins by defining web services as interfaces that allow network access through standardized XML messaging. SOAP is introduced as a protocol for web service messaging and invocation that takes advantage of XML namespaces and schemas. The document then covers SOAP architecture, including the envelope, header and body, as well as examples of SOAP messages for remote procedure calls.
The document discusses exposing a CXF web service in Mule by decomposing the flow into smaller parts connected by VM components. This allows breaking the logic into smaller pieces to improve performance and control. It provides an example configuration with two flows, one for the CXF component and one for the implementation class connected by a VM queue. Properties are stored before sending to the VM to preserve them across flows. Additional techniques for using VM endpoints will be covered in the next slides.
The document discusses how to use XSLT transformations in Mule applications. XSLT can transform XML payloads from one form to another. In Mule, this is done using the XSLT transformer component. The example shows a flow that receives an XML payload, sets the payload, then transforms it using an XSLT file. The XSLT file contains templates to select nodes from the source XML and output them in a new structure to a target XML payload. Hitting the endpoint URL transforms the payload as defined in the XSLT file.
SoapUI is a free and open source tool for testing web services. It allows users to create test suites, test cases, and test steps to test web services. Tests can be data driven using external data sources. SoapUI displays requests and responses in different formats and has reporting capabilities. It also supports mocking web services to test against prior to implementation.
This document provides an introduction to Java fundamentals and object-oriented programming concepts. It outlines the course objectives which include learning Java features, OOP principles, and how to program using the Java API. The document then discusses Java basics like its history and importance, differences between Java and C/C++, Java characteristics, environment, and execution model. It also includes an example "Hello World" Java program and how to run it.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
2. Agenda
• What is Maven?
• A J2EE example
• Customizing and extending Maven
• Tips and discussions
3. What is Maven?
• A Java project management and integration
build tool.
• Based on the concept of XML Project Object
Model (POM).
• Originally developed for building Turbine.
• A small core with numerous plugins (in Jelly).
4. Build Tools Retrospective
• One level above ant.
• Make ant Maven
• (Assembly C C++)
Make makefile target
Ant build.xml target
Maven project.xml
maven.xml
goals
5. Under the Hood
forehead classloader util launcher
maven core, jelly, werkz
Maven
pluginsjava jar war ejb
ear gump xdoclet javadoc
test
jalopy
cactus artifact xdoc
site junit etc…
ant
8. Artifact Repository
• Local Repository
– A local mirror/cache of downloaded
artifacts from remote repositories.
– Located at $
{user.home}/.maven/repository
${mave.repo.local}/<groupId>/<type>s/<artifactId>-<version>.<type>
9. Implementing an Example
• Get Started
– Download from
• http://maven.apache.org/start/download.html
– Current version: 1.0rc1
– Environment setup
• export MAVEN_HOME=c:/maven-1.0rc1
• export PATH=“$MAVEN_HOME/bin;$PATH”
(or set MAVEN_HOME = c:maven-1.0rc1
set PATH = %MAVEN_HOME%bin;%PATH% )
– run install_repo.sh to populate the local
repository
10. Create a New Project
Type:
maven genapp
It will prompt for
– project id
– project name
– project package name
A Sample Service J2EE Project
• EJB (stateless session beans exposed as web
services)
• Data components
• Web application
11. Directory Layout
Project Directory Layout
sampleservice
– project.xml - Master POM of the project
– maven.xml - Reactor definition
– project.properties - Properties related to the project
– application/ - Application component
– service-data/ - Common data component
– service-ejb/ - EJB/WS component
– service-web/ - Web Application component
– target/ - Generated artifact directory
– xdocs/ - Various documents in xml format
– …
12. Directory Layout
A Component Directory Layout
…
service-data - Data component subproject
– project.xml - POM of the data project
– maven.xml - Goals definition
– project.properties - Properties related to the project
– src/ - Source directory
– conf/ - Configuration and resource files
– java/ - Java source files
– test/ - Test source files
– target/ - Generated artifact directory
– xdocs/ - Various documents in xml format
…
13. Project Object Model (POM)
Projects are described as Project Object Model.
• Project Management
– Detailed description of the project.
– Company information.
– Developer roles and information.
– Mailing list and source control modules
configuration.
• Project Build
– Source code and test code location.
– Resources location
14. Project Object Model (POM)
• Project Dependency
– Libraries needed for build and runtime.
• Project Reports
– Junit reports
– Javadoc reports
– Checkstyle reports, ….etc
16. Project Management Section
<project>
[…]
<inceptionYear>2003</inceptionYear> <!-- Used in JavaDoc –
<package>com.myinc.sampleservice</package> <!-- Used in JavaDoc -->
<shortDescription>Demo to use maven</shortDescription> <!-- one liner -->
<!-- Used in front page-->
<description>
A detailed description about this demo
</description>
<url>http://www.myinc.com/sampleservice/</url>
<issueTrackingUrl/>
<siteAddress>dev.myinc.com</siteAddress> <!-- Used in deployment -->
<siteDirectory>/www/sampleservice/</siteDirectory> <!-- Used in deployment -->
<!-- Used in deployment. If defined, it overrides ${maven.repo.central} -->
<distributionSite>/www/dist/sampleservice</distributionSite>
<!-- Used in deployment, final distribution directory -->
<distributionDirectory>/www/www.myinc.com/somedir</distributionDirectory>
25. Project Report - XDoc
xdocs/navigation.xml
…
<menu name="General Information">
<item name="Overview" href="/index.html"/>
<item name="Features" href="/features.html"/>
<item name="Specification" href="/fsd.html"/>
<item name="Getting Started" href="/getting-started.html"/>
</menu>
xdocs/features.xml
<document>
<properties>
<title>Turbine Features</title>
<author email="">Jon S. Stevens</author>
</properties>
<body>
<section name="Features">
<p>This document is for bragging about all of Turbine's ….
…
</document>
26. Property Processing
${project.home}/project.properties Project scope
properties
${project.home}/build.properties Properties
specific to each
build
${user.home}/build.properties Properties
specific to each
user
CLI –Dfoo=bar
The last definition wins
Sample build.properties:
…
bea.home=c:/bea81sp1
oracle.home=c:/oracle/ora9i
27. Build Process Design
Sample Service project components
Common data module
EJBs
Web Application
Data
(jar)
EJB
(jar)
Webapp
(war)
EAR
31. Subproject: service-ejb
Maven XDoclet Plugin
– Support all standard tags
– Automatically includes generated src dir in compilation src set
– Support util class generation
– Dependencies
– xdoclet-ejb-module-1.2
– xdoclet-web-module-1.2
– xdoclet-bea-module-1.2
(for WebLogic Server Deployment)
Note: Current version 1.2 does not work out-of-box (needed to fix the project.xml)
41. Putting It Together: Reactor
/c/dev/sampleservice/>maven
__ __
| / |__ _Apache__ ___
| |/| / _` V / -_) ' ~ intelligent projects ~
|_| |___,_|_/___|_||_| v. 1.0-rc1-SNAPSHOT
Starting the reactor...
Our processing order:
Sample Service Data Module
Sample Service EJB
Sample Service Web Application
Sample Service Application
+----------------------------------------
| Building Sample Service Data Module
| Memory: 3M/4M
+----------------------------------------
build:
java:prepare-filesystem:
[mkdir] Created dir: C:devsampleserviceservice-datatargetclasses
java:compile:
….
42. Customizing Maven
• Override plugin properties in
– project.properties
– build.properties
• Use maven.xml
– Override plugin goals
– Intercept plugin goals with <preGoal/>
and <postGoal/>
• Write you own plugin
– In Java, Jelly, or other scripting language.
43. Real Life Maven
• Single artifact per project
– Can be tweaked to deliver multiple artifacts
as long as no type conflicts
– Fine-grained design
• Project Migration/Mavenizing
– Can co-exist with ant
– May require different directory structure
• Too Slow?
– Use console plugin
• Are you ready for maven?
– Culture change
44. Summary
• Pros
– Work out-of-box for standard projects
– Build assets highly reusable, thanks to
core/plugin architecture
– Build rules are more dynamic
– Best suited for project integration
– IDE friendly
• Cons
– Incomplete documentation
– Missing convenience details
– Not yet mature. Still waiting for the R1.
45. Get More
• http://maven.apache.org
• http://www.onjava.com/pub/a/onjava/2003/10/22/maven.html
• http://www-106.ibm.com/developerworks/java/library/j-maven
• http://www.javausergroup.at/events/maven.pdf
• http://www.theserverside.com/articles/article.jsp?
l=MavenMagic
• http://blogs.codehaus.org/people/vmassol/archives/000080.ht
ml
• http://www.javaworld.com/javaworld/jw-10-2002/jw-1011-
maven.html
Two scenarios drove Maven to us:
As a Java developer who is involved with building the application. Like to be able to reuse the build scripts, as simple as making a Java API call.
As a project manager/team lead who is trying to keep up-to-date with inter-dependencies among components.
A good analogy for developers to quickly grasp the level of Maven.
The POM consists of four sections.
There are only three required elements in POM.
The ejb goal is actually a jar task.
The build delivers two artifacts: the EJB jar and the Web Service deployment descriptor.