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000-484 Enterprise Connectivity with J2EE V1.3

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000-484 exam Dumps Source : Enterprise Connectivity with J2EE V1.3

Test Code : 000-484
Test denomination : Enterprise Connectivity with J2EE V1.3
Vendor denomination : IBM
: 112 real Questions

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IBM Enterprise Connectivity with J2EE

Dive into connection pooling with J2EE | real Questions and Pass4sure dumps

The Java 2 business version (J2EE) specification offers a dispensed functions-based architecture for enforcing highly scalable, reliable, and purchasable e-company functions. In established, a J2EE software structure maps to the mannequin-View-Controller (MVC) framework -- repositories/exterior system supplies attend the domain mannequin (mannequin), JSPs/Servlets maneuver the presentation (View), and EJBs contend with the company common sense (Controller).

a typical e-company software consume case could live realized via accessories in the entire three layers on the server facet. Given the ample variety of consumer interactions (thousands and thousands for consumer-facing purposes), the finite server-facet substances necessity to live optimally shared. Such materials may additionally consist of databases, message queues, directories, commercial enterprise techniques (SAP, CICS), and the like, each of which is accessed by means of an software the consume of a connection kick that represents the resource entry aspect. Managing access to these shared supplies is basic for meeting the high-efficiency necessities for J2EE applications.

Connection pooling is a strategy that was pioneered via database vendors to allow varied shoppers to share a cached set of connection objects that provide access to a database resource. listed here, I examine connection pooling in a J2EE atmosphere for server-side supplies akin to databases, message queues, directories, and business systems.

Why pool resource connections?

believe the following code instance the belt an EJB accesses a database resource the consume of JDBC 1.0, with out connection pooling:

... import java.sql.*; import javax.sql.*; ... public class AccountBean implements EntityBean { ... public assortment ejbFindByLastName(String lName) are trying String dbdriver = new InitialContext().look up("java:comp/env/DBDRIVER").toString(); type.forName(dbdriver).newInstance(); Connection conn = null; conn = DriverManager.getConnection("java:comp/env/DBURL", "userID", "password"); ... conn.shut(); ...

certainly, the main problem in this example is the opening and closing of connections. on the grounds that entity beans are shared add-ons, for every customer request, the database connections are got and released several times.

that you would live able to notice from pattern 1 that buying and releasing database connections via the database supervisor, the consume of JDBC 1.0, will repercussion the performance on the EJB layer. That acquire an result on is because of the overhead in developing and destroying those objects via the database resource supervisor process. typically, the software server route takes around one to 3 seconds to set up a database connection (that comprises communicating with the server, authenticating, and the like), and that must live performed for every customer (EJB) request.

figure 1. Connection administration the usage of JDBC 1.0 Connection pooling using carrier company facilities

Now i'll examine what connection pooling facilities are presently accessible for database and nondatabase aid varieties within the J2EE atmosphere.

JDBC 2.0 unvarying Extension API

The JDBC 2.0 ordinary Extension API specifies that a database service company can implement a pooling approach that can enable multiple connection objects from a useful resource pool to live shared transparently among the requesting consumers. In that situation, a J2EE component can consume connection objects devoid of inflicting overheads on the database useful resource supervisor, considering that a pool manager creates the connection objects upfront, at startup. The software provider company implements the pool manager in its remembrance belt and might optimize aid usage with the aid of dynamically altering the pool measurement, in keeping with demand. it's illustrated in determine 2.

figure 2. Connection pooling using JDBC 2.0 common extension

using the DataSource interface (JDBC 2.0) or the DriverManager (JDBC 1.0) interface, a J2EE component may collect physical database connection objects. To gain analytic (pooled) connections, the J2EE component should consume these JDBC 2.0 pooling manager interfaces:

  • A javax.sql.ConnectionPoolDataSource interface that serves as a useful resource manager connection manufacturing facility for pooled java.sql.Connection objects. each and every database server dealer gives the implementation for that interface (as an example, Oracle implements the oracle.jdbc.pool.OracleConnectionPoolDataSource class).
  • A javax.sql.PooledConnection interface that encapsulates the physical connection to a database. again, the database vendor gives the implementation.
  • An XA (X/Open specification) equal exists for each and every of these interfaces in addition to for XA connections.

    here code illustration suggests how an EJB software could entry a database aid by using pooled connection objects (according to JDBC 2.0). The EJB component during this example makes consume of a JNDI sight up to locate the database connection pool useful resource. The JNDI 1.2 general Extension API lets Java applications access objects in disparate directories and naming techniques in a typical manner. the usage of the JNDI API, an utility can lookup a directory to find any sort of resource equivalent to database servers, LDAP servers, print servers, message servers, file servers, and so forth. For a suited overview of JNDI, consult with "The Java Naming and directory Interface (JNDI): A more Open and flexible model."

    notice: The precise code will fluctuate depending on the database supplier implementation courses.

    import java.sql.*; import javax.sql.*; // import here vendor particular JDBC drivers public ProductPK ejbCreate() try // initialize JNDI sight up parameters Context ctx = new InitialContext(parms); ... ConnectionPoolDataSource cpds = (ConnectionPoolDataSource) for(cpsource); ... // Following parms might impeccable Come from a JNDI look-up cpds.setDatabaseName("PTDB"); cpds.setUserIF("XYZ"); ... PooledConnection computer = cpds.getPooledConnection(); Connection conn = notebook.getConnection(); ... // execute company suited judgment conn.close(); ...

    the notable thing change between the above code (using JDBC 2.0) and the consume of JDBC 1.0 is that a getConnection() gets an already open connection from the pool, and shut() with ease releases the connection kick returned to the pool. JDBC 2.0 drivers can live create these days from essentially every database server vendor similar to Oracle, DB2, Sybase, and Informix. And most application server carriers (IBM, BEA, iPlanet, IONA, and so on.) today aid JDBC 2.0.

    I should notice that nowadays just about impeccable software servers employ a two-tier connection pooling structure the belt the pools are held in the utility server reminiscence space (as opposed to a stand-by myself connection broker).

    JMS 1.02 general Extension API

    J2EE application accessories can talk asynchronously with different business purposes the consume of a messaging resource. The JMS 1.02 general Extension API provides a supplier-independent option to talk with messaging provider providers. As within the case of a database aid, message queues are accessed using connection objects that can besides live pooled.

    The JMS 1.02 API comprises here interfaces to back aid pooling:

  • A javax.jms.QueueConnectionFactory or javax.jms.TopicConnectionFactory for manufacturing unit objects
  • A javax.jms.QueueConnection or javax.jms.TopicConnection for connection objects
  • A JMS carrier issuer implements those interfaces. prerogative here code suggests how an EJB component could access a message queue useful resource, using connection objects.

    // consume JNDI to find the connection manufacturing unit and the destination Context ctx = new InitialContext(); QueueConnectionFactory factory = (QueueConnectionFactory) for("java:comp/env/jms/theFactory"); Queue queue = (Queue) ctx.lookup("java:comp/env/jms/theQueue"); // create a connection, session, sender, and the message QueueConnection conn; QueueConnection conn = factory.createQueueConnection("myUserName", "myPassword"); QueueSession session = connection.createQueueSession (false, Session.AUTO_ACKNOWLEDGE); QueueSender sender = session.createSender(queue); ... // birth up the connection, ship the message connection.start(); sender.ship("Message"); connection.cease(); // now proximate impeccable resources to compose positive that autochthonous substances are launched sender.close(); session.shut(); connection.shut();

    With connection pooling, the JMS manufacturing facility courses typically acquire proxies (configured with the aid of an administrator) so the open() and close() requests basically Go to the proxies that manage a connection pool. Following the JMS API instructions, a JMS carrier company may additionally belt in constrain a database to manage the message queues. In that condition, the appropriate JDBC driver renders the connection pooling. If the utility is already the consume of a JDBC 2.0 connection pool-enabled database, then impeccable you necessity to execute is configure the JNDI property for the JMS to compose consume of that JDBC instance.


    The javax.naming.LDAP package contains courses which are particular to LDAP (and never covered in the universal javax.naming.listing). not relish the JDBC 2.0 and JMS 1.02 APIs, the JNDI LDAP API does not specify any interfaces for connection pooling. A directory carrier company might optionally give back by the consume of SDKs. as an instance, iPlanet's Netscape directory Server SDK four.0 for Java comprises the following sort for pile LDAP clients:

    public classification netscape.ldap.util.ConnectionPool extends java.lang.itemmethods: Connection(), getConnection(), shut(), etc.

    consult with the "Netscape listing Server software Programmer's book" for more details.

    The J2EE Connector architecture 1.0

    In the entire above examples, the EJB add-ons acquire to import seller-certain implementation classes in an application to consume the connection pooling facilities of the useful resource. That definitely makes the EJBs much less portable, weakening the J2EE promise.

    Ideally, one would relish a commonplace connection interface that EJBs can consume for any useful resource category and impeccable connection administration capabilities, together with pooling, provided below the hood. That is without doubt one of the desires of the upcoming J2EE Connector structure 1.0 specification; a draft reproduction is publicly attainable on the time of this writing (see resources).

    determine 3 shows the notable theory in the back of the architecture, the useful resource adapter. A pluggable component for each useful resource category supported through the application server, a useful resource adapter executes inside the application server tackle house. The client API for getting access to those adapters may either live the general client Interface (CCI) or (for backward compatibility) a aid-specific API similar to JDBC 2.0. as an example, the CCI defines javax.useful resource.cci.ConnectionFactory and javax.resource.cci.Connection as interfaces for a connection manufacturing facility and a connection respectively -- corresponding to the JDBC 2.0 interfaces i discussed within the previous area.

    determine 3. resource adapter in J2EE Connector structure 1.0 Connection pooling in Connector 1.0

    The programming mannequin for Connector 1.0 is as follows:

  • An EJB performs a JNDI sight up of a connection manufacturing unit and then issues a getConnection() request.
  • The connection factory delegates the request to a ConnectionManager.
  • The connection manager looks for an instance of a connection pool within the utility server. If no connection pool is purchasable, then the manager uses the ManagedConnectionFactory to create a physical (nonpooled) connection.
  • In that status of affairs, the aid adapter company is believed to implement the interface. however, the connector structure doesn't testify how an software server might belt into result a connection pool however offers guidelines, such as partitioning a pool in response to adapter class, quality-of-provider (QoS) necessities, and so forth. For more details, discuss with the J2EE Connector architecture specification.

  • as an instance, the iPlanet Unified Integration Framework Toolkit v 6.0, a product version of solar's connectors to business/legacy systems in line with the upcoming EJB 2.0 connector structure, defines connection swimming pools for each and every backend system that an EJB layer could entry. A thread, completed periodically, screens the consume and durability of pool objects. For details, treat with iPlanet Unified Integration Framework.

    Design concerns for the EJB layer

    The proven fact that you've got aid managers that control your connection swimming pools doesn't assure premiere performance from the EJB layer -- there are some design considerations as neatly!

    First, accept as proper with the code example beneath of an EJB client getting access to a LDAP listing that implements a connection pool.

    import netscape.ldap.util.*; ... public sort NewCustomerBean implements SessionBean { ... inner most SessionContext context; // Bean Context inner most LDAPConnection lc; // LDAP Connection object ... public void setSessionContext(SessionContext sc) { this.context = sc; // initialize JNDI lookup parameters Context ctx = new InitialContext(parms); ... ConnectionPool cp = (ConnectionPool)ctx.look up(cpsource); // establish LDAP Connection. are trying = cp.getConnection(); ...

    J2EE business functions | real Questions and Pass4sure dumps

    Like this article? They advocate 

    J2EE commercial enterprise services are used by internet container and EJB container utility add-ons to entry the components and functions accessible within the enterprise. The requirements may besides fluctuate—from a simple database access to a posh mainframe entry via a messaging/CICS environment.

    The theory at the back of impeccable J2EE commercial enterprise service APIs is shown in determine 2.

    Figure 2figure 2 thought in the back of J2EE commercial enterprise services.

    As proven, J2EE carrier APIs deliver a typical Java interface above specific services such as database connectivity and listing entry—hiding the implementation-certain details from the eyes of the utility. consequently, utility programmers are exposed to a typical set of APIs, in its belt of those very selected to a given useful resource. This helps them to adopt comfortably throughout different service implementations.

    as an instance, from a J2EE application component perspective, how to entry Sybase and Oracle databases is pretty an Awful lot the same. impeccable they deserve to exchange is the underlying JDBC driver that provides connectivity to the specific database; and, of path, to the database URL itself. therefore, and not using a code-level alterations, programmers can access diverse databases with ease.


    Java database connectivity API helps J2EE components to connect to a wide selection of relational databases.

    The JDBC API provides a collection of general interfaces for impeccable regular database functions that are used by route of J2EE accessories to question and supersede the database. The specific implementations of these interfaces are looked after by using JDBC drivers.

    therefore, the software codes stand unbiased of database-specific calls, and it is viable to swap over from one database to another with minimal effort.


    In a distributed ambiance, naming and listing features allow the location and identification of different substances that are scattered throughout the community. supplies bind themselves with a sever identify in a dispensed hierarchical tree structure. valued clientele obtain a tackle to the required aid by route of getting access to the directory carrier.

    Java Naming and directory Interfaces (JNDI) standardize calls to business naming and directory features. JNDI introduces a provider layer above the selected dealer listing services akin to LDAP, Novell listing provider, or energetic directory carrier, so that they can besides live accessed from J2EE components in a constant method.


    Messaging services play a a must acquire role in exposing heterogeneous programs, corresponding to mainframes and other legacy techniques, to J2EE middleware components. The basic communication link between these disparate programs is based through potential of installing messaging provider processes on both end. applications treat with the messaging techniques, which in rotate switch the message on a point-to-aspect or asynchronous methodology across other messaging processes along the network.

    Java Messaging services (JMS) APIs standardize calls to business messaging capabilities similar to IBM's MQ series, Microsoft's MSMQ, or TIBCO's Rendezvous. JMS defines a layer above proprietary messaging API calls, in order that J2EE functions stand unbiased of the actual messaging-carrier implementations.


    because the denomination suggests, Javamail API is supposititious for presenting e-mail features to J2EE accessories. It sits over specific mail server implementations reminiscent of SMTP and POP3, proposing uniform access to impeccable commonplace features that should live would becould very well live required (comparable to message formatting and sending and receiving e-mails), with or with out attachments.

    Javamail API works in synchronization with the Javabean Activation Framework (JAF).


    These two applied sciences allow intercommunication between J2EE components and CORBA (general kick Request broker architecture) accessories.

    CORBA is a famed distributed software framework from the article management neighborhood that has been in actuality for a brace of years.

    however Java IDL is the counseled methodology for accessing impeccable present CORBA objects from J2EE atmosphere, RMI—IIOP will besides live used for exposing J2EE add-ons to CORBA purchasers.


    The Java XML APIs compose the usage of XML documents inside the J2EE realm easy. The features supplied by route of JAX APIs consist of XML parsing (SAX and DOM), XML binding to Java objects, XML messaging, and XSLT transformations.

    The JAX APIs equivocate on the foundation of revealing J2EE business common sense components as web capabilities, as well as consuming web services from loads of environments.


    Java connector enables the seamless integration of existing commercial enterprise guidance techniques akin to ERP, mainframes, transaction-processing environments, databases, and different legacy systems with J2EE middleware. As within the case of alternative service APIs, JCA gives margin for vendors to strengthen their own useful resource adopters, which then establish device-level contracts with any J2EE-compatible software server and utility-level contracts with the utility add-ons that entry the EIS useful resource.

    at the moment, J2EE-appropriate resource adapters for many approved returned-end environments acquire impeccable started acting out there.

    SOA offers: IBM Combines Virtualization With SOA | real Questions and Pass4sure dumps


    SOA deals: IBM Combines Virtualization With SOA
  • by route of Kurt Mackie
  • 03/19/2007
  • Early this month, a few groups announced partnerships or product enhancement efforts to extend their service-oriented architecture (SOA) choices. listed here are a number of of those bulletins so far.

    IBM has combined its server virtualization capabilities with its SOA route to benign new offerings called system p Configurations for SOA Entry facets. The application choices will comprise 5 configurations (system, people, suggestions, Connectivity and Reuse) to live used on IBM tackle p servers. The tackle operates the consume of IBM WebSphere, Tivoli and assistance administration software. products within the gadget p Configurations for SOA Entry facets line are designed to compose it less demanding for consumers to installation new systems in an SOA.

    Vitria expertise rolled out an open, agnostic, commercial enterprise-type integration suite for SOA and activities-driven structure referred to as enterprise Accelerator, together with a determination Accelerator 3.0 answer. The business Accelerator products train to reduce an enterprise's complete cost of ownership by assisting present software assets. They tie collectively the business's functions, pursuits, applications, automatic tactics and human workflow. company Accelerator works with J2EE purposes servers and messaging structures to aid current infrastructure or entry open source communities. Vitria has fashioned partnerships with pink Hat/JBoss, Amberpoint, IBM and i-solution to extend customer alternatives.

    pink Hat and Exadel announced a strategic partnership to back Eclipse-based mostly developer tools for constructing SOA and internet 2.0 applications. Exadel is proposing impeccable of its products as open-source tackle for pink Hat's commercial enterprise Linux and JBoss business Middleware. The tackle comprise Exadel Studio seasoned, which allows developers to toil within distinctive frameworks in an internet construction ambiance. besides covered are Exadel's RichFaces and Ajax4jsf tools for pile cyber web and internet 2.0 applications.

    BEA programs and CA Inc. acquire fashioned a partnership to simplify identification and access management (IAM) in SOA infrastructures. both organizations are integrating products to in the reduction of administrative expenses and extend IT efficiency in an enterprise. BEA's AquaLogic and WebLogic product households are being built-in with CA's SiteMinder and identity supervisor products.

    FAMIS software, an ISV that offers integrated office management options, has beefed up its flagship FAMIS product by using embedding Pervasive software's company Integrator tool. FAMIS chosen Pervasive's respond to superior tackle information integration throughout its perpendicular markets, chiefly in SOA environments.

    SOA application is providing a finished SOA respond for IBM WebSphere. The solution includes SOA application's carrier manager and Workbench products. shoppers can consume SOA software's solution to control security, reliability and interoperability guidelines in IBM's WebSphere utility Server and WebSphere company Integration Message broking service components.

    Lawson software has built-in the IBM WebSphere commercial enterprise service Bus into its Lawson device foundation solution. The integrated respond is a finished SOA platform that helps international and mid-market companies integrate business applications and automate approaches.

    DataDirect applied sciences has delivered a safety Optimization and administration product to its Shadow RTE mainframe integration suite. It optimizes mainframe safety authentication for net service or SQL calls. The product lets organisations extend the efficiency of a mainframe device in SOA environments.

    Unify Corp. plans to expand its Composer product family unit to attend company modernize legacy applications in commercial enterprise-huge SOA environments. Composer creates SOA-primarily based purposes through an automated procedure that analyzes the functionality of belt in functions and facts.

    about the author

    Kurt Mackie is on-line information editor, commercial enterprise neighborhood, at 1105 Media Inc.

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    Enterprise Connectivity with J2EE V1.3

    Pass 4 positive 000-484 dumps | 000-484 real questions |

    J2EE EJB Architecture and progress | real questions and Pass4sure dumps

    The Enterprise JavaBeans (EJBs) model is a powerful one for pile distributed, server-side, and Java-based enterprise application components. In this article, author Paul Perrone describes the EJB architecture and its features.

    This article contains excerpts from pile Java Enterprise Systems with J2EE.

    From the author of 

    Enterprise JavaBeans (EJBs) depict a powerful component model for pile distributed, server-side, and Java-based enterprise application components. The Enterprise JavaBeans model can live starkly contrasted with the regular JavaBeans model. The JavaBeans model defines a means for pile Java-based components for consume in containers that acquire a nondistributed nature, acquire many client-side GUI semantics associated with them, and execute not define measure operations to enable sophisticated life-cycle management of JavaBean components. The Enterprise JavaBeans model, on the other hand, defines a means for pile Java-based components for consume in containers that execute tender distributed client connectivity, acquire exclusive server-side semantics associated with them, and define various measure operations to enable sophisticated life-cycle management of Enterprise JavaBean components.

    In fact, EJBs provide the following key features:

  • A model for defining server-side components

  • A model for defining distributed client interfaces to the services provided by these components

  • Standard operations and semantics for allowing a container to create, destroy, allocate, persist, and activate component instances

  • A measure model for defining a component that maintains a conversational session with a client, with session management handled by the container

  • A measure model for defining a component that encapsulates a data-source (for example, database) entry, with object-to-relational data mapping being handled by the container

  • A measure for defining configuration and deployment characteristics of a component, independent of its implementation

  • A measure model for declaratively defining the security attributes of a component

  • A measure model for declaratively defining the transactions attributes of a component

  • A measure component interface condense so that components can race in any vendor-compliant container/server that implements that measure interface contract

  • The EJB component model is thus a very powerful model for pile enterprise applications and is the focal point of the Java 2, Enterprise Edition (J2EE) architecture. The J2EE v1.2 requires that impeccable EJB v.1.1 APIs and implementations live included within J2EE EJB containers and that EJB v1.1 client APIs and implementations live included with J2EE Web containers and J2EE application clients. EJB v1.1 represents a significant advancement over EJB v1.0. EJB v1.1 compliance depreciates a set of javax.ejb.deployment package abstractions provided by EJB v1.0, requires measure XML-based deployment descriptors to live used, and requires consume of EJB entity beans (in EJB v1.0, these were optional).

    J2EE v1.3 requires that EJB v2.0 APIs live included within J2EE EJB containers. I will talk more about EJB 2.0 features in subsequent articles in this series.

    Connect the enterprise with the JCA, section 1 | real questions and Pass4sure dumps

    The EAI (enterprise application integration) product category has grown significantly over the last 10 years. EAI eases the integration of disparate enterprise information systems (EIS). Although products such as Tibco and Vitria targeting the EAI market acquire succeeded, they acquire yet to achieve widespread adoption. As one of its missions, the new JCA (J2EE Connector Architecture) strives to bring EAI into mainstream use.

    Read the gross string on the JCA:

    The emerging JCA measure provides a mechanism to store and retrieve enterprise data in J2EE (Java 2 Platform, Enterprise Edition). The latest versions of many application servers, including BEA's WebLogic and IBM's WebSphere, back JCA adapters for enterprise connectivity. Using JCA to access an EIS is akin to using JDBC (Java Database Connectivity) to access a database.

    Before JCA, each EAI vendor created a proprietary resource adapter interface for its own EAI product, requiring a resource adapter to live developed for each EAI vendor and EIS combination (for instance you'd necessity a SAP resource adapter for Vitria and a SAP resource adapter for Tibco). To solve that problem, as one of its main thrusts, JCA attempts to standardize the resource adapter interfaces.

    In this article, I first deliver a high-level introduction into the JCA. Then I discuss how JCA fits into an integration strategy. After that I compare JCA to EAI vendors' products. Finally, I discuss the limitations of the current JCA platform, followed by what the future may hold.

    How JCA and J2EE compare to EAI products

    With that background in mind, let's consider how the current version of the JCA specification -- as well as J2EE in general -- measure up to some of the features create in EAI vendors' products.

    Many EAI vendors, Vitria and Tibco for example, acquire either announced JCA support, or are in the process of releasing products that incorporate JCA-based adapters. Because the JCA 1.0 specification was finalized in July 2001, don't anticipate JCA in its initial release to match feature for feature to an EAI vendor's product, nor is that the aim. (Many features of the J2EE platform besides compare to features in many EAI products.)

    In light of this, and before they can discuss how JCA fits into the EAI picture, it's notable to first understand some basic EAI features:

  • Resource adapters
  • Data mapping
  • Messaging brokers
  • Workflow
  • Let's sight at each.

    Resource adapters

    Most EAI vendors comprise proprietary adapters built to toil with their products. Most proprietary adapters allow for synchronous and asynchronous communication to an EIS. JCA adapters closely resemble those adapters, except JCA adapters comprise only a synchronous communication channel. Resource adapters depict the EAI feature JCA most directly matches, although most EAI vendors' adapters tender a larger feature set (for instance asynchronous capability) than JCA adapters.

    Data mapping

    With the next EAI feature -- data mapping -- data acquired in one format (for instance in the EIS's autochthonous format) by the resource adapter must live transformed into the format required for the business object. Mapping data from one system to another often proves the most time consuming aspect of system integration because you must map each business kick in both systems. In response, most EAI vendors provide visual tools to enable a developer to set up such mapping.

    While JCA does not tender an equivalent data-mapping facility, EJB's (Enterprise Java Beans) Container Managed Persistence (CMP) facility provides a similar functionality. However, currently not impeccable EJB containers can consume EJB CMP with JCA (using JCA as a data resource in belt of JDBC). Presumably this will change as JCA becomes more widely adopted.

    Message broker

    Messaging brokers, another feature common to many EAI products, usually enable both point-to-point and publish/subscribe messaging. EAI products often employ messaging as the connectivity layer to tie together disparate systems.

    Currently JCA does not address connectivity to an EIS in a message-oriented manner. It is possible, however, to implement some of a message broker's feature set in an EAI product by using JMS (Java Messaging Service), which is section of J2EE.


    Workflow is the management of business processes. assume of workflow as a coordinator. In and of itself, workflow lacks the capability to execute anything, but rather relies on business objects, messages, and other external entities to execute functionality (for example creating a user kick in a database). Workflow coordinates the consume of business objects, messages, and so on to execute business processes.

    JCA does not address workflow. However, sight for something in the J2EE arena to address workflow, as it serves as an notable component when developing a knotty system.

    Having discussed how JCA (and J2EE) compare with EAI tools, it's now notable to sight at how JCA fits into an overall integration strategy.

    JCA and a general integration strategy

    These days, many systems must integrate with other systems. But, what does that mean? In this section, I recount various integration types and where JCA fits into them.

    Integration falls into two main buckets:

  • Inbound integration: outside systems initiate data requests to your system
  • Outbound integration: your system initiates data requests to other systems
  • All of the following integration types can live applied in both an inbound and an outbound manner.

    User interface integration

    User interface (UI) integration represents the most coarse-grain sort of integration. UI-level integration implies that the data passed between systems will exist in the configuration of a UI representation. An outbound integration at the UI even entails requesting the UI (most likely a Webpage) from a remote system, then possibly manipulating it before displaying it as if it were section of your system's UI. An inbound integration at the UI even entails allowing an outside system to request UI pages on your system for inclusion on a remote system.

    Prefer UI integration over other options when it is unimportant to distinguish the data sort being retrieved. UI integration often requires the least application to implement.

    Message integration

    Message-level integration, impeccable the rage with the advent of Web services, implies that the data passed between systems will live in the configuration of a message (a defined, data-driven text format). An outbound message integration involves requesting data from a remote system in a message configuration (most likely a SOAP (Simple kick Access Protocol) message). With an inbound integration, your system receives a request for data via a message and responds with a message.

    Message-oriented integration lends itself to lax coupling between systems because the systems remain unaware of the kick types that exist on the remote system. That sort of lax coupling works well with applications that wish to communicate over the Internet.

    Object/RPC integration

    Object/RPC (remote procedure call) integration implies integrating systems using distributed objects (that is, using EJB calls to integrate). With object-level integration, data passes between systems as parameters to route calls. In an outbound object-level integration, your system invokes objects on remote systems, while in an inbound object-level integration, a remote system calls objects on your system to retrieve data.

    One of an object-level integration's main advantages is that you can summon particular APIs with full sort safety and easily propagate the error codes and exceptions between systems.

    Data integration

    Lastly, data-level integration implies that the data passed between systems will live in a data/record-oriented manner. In an outbound data-level integration, your system requests data in a record-oriented fashion from other systems. With an inbound data-level integration, a remote system requests data from your system in a record-oriented manner.

    The odds of a data even integration: it lends itself to data mapping from one system onto the business objects in another system. JCA falls into the data-level integration category and therefore has the strengths and weaknesses of this integration type.

    Now that we've covered where JCA fits into the overall integration puzzle, they are ready to discuss the JCA's structure.

    JCA's structure

    Let's begin with a JCA overview. Its main components comprise the resource adapter, system contracts, and the Common Client Interface (CCI), which together give JCA the power to access data in enterprise systems.

    Resource adapter

    In order to consume JCA in a J2EE container, you first must acquire a JCA resource adapter, which resembles a JDBC driver. A JCA adapter is specific to an EIS (for example SAP or PeopleSoft) and is contained in a Resource Adapter Archive (RAR) file composed of the jar files and autochthonous libraries necessary to deploy the resource adapter on a J2EE container.

    A JCA adapter interacts with a J2EE server with system contracts. They enable the J2EE server to propagate the context in which a JCA adapter is being called. You'll find three types of system contracts:

  • Connection management
  • Transaction management
  • Security
  • Connection management contracts

    The connection management condense describes the understanding a J2EE container has with the adapter regarding establishing, pooling, and tearing down connections. The connection management condense besides allows listeners created on a connection to respond to events (for instance if the connection becomes lost or experiences an error). besides note that the underlying protocol an adapter uses to connect to an EIS is outside the scope of the JCA specification.

    All JCA resource adapters must supply two implementations with the adapter. First, a ConnectionFactor provides a vehicle for creating connections. Second, the Connection class represents this particular resource adapter's underlying connection.

    Transaction management contract

    The transaction management condense controls transactions in two different ways. First, it allows distributed transactions, which provide a mechanism to propagate transactions that originate from inside an application server to an EIS system. For example, in an EJB, a transaction may live created. If this EJB then employs a JCA resource adapter, the transaction management condense enables the transaction to propagate to the EIS (via the application server invoking the resource adapter's X/Open XA interfaces). In that situation, the transaction manager on the application server would control multiple resources to conduct distributed transaction coordination (i.e., two-phase commit).

    Second, the transaction management condense can control transactions by creating local transactions. Local transactions are local in the sense that they exist only on a particular EIS resource. The transaction condense allows these transactions to live controlled, but they are related to any transaction that exists on the application server where the JCA resource adapter is running.

    Also note that the resource adapter necessity not implement the the transaction management contract. Making this optional allows for resource adapters in nontransaction resources.

    Security contract

    The security condense enables the application server to connect to an EIS system using security properties. The application server authenticates with the EIS system by using security properties composed of a principle (a user id) and credentials (a password, a certificate, and so on). An application server can employ two methods to authenticate to an EIS system (via a resource adapter). With the first method, container-managed sign-on, the security credentials configure when the resource adapter is deployed on the application server. You can choose from several ways to configure security properties when using container-managed sign-on. First, with Configured Identity, impeccable resource adapter connections consume the selfsame identity when connecting to the EIS system. Second, with Principal Mapping, the principal used when connecting to the EIS system is based on a combination of the current principal in the application server and the mapping (which maps how the principal in the application server will map to a principal in the EIS system). The third is Caller Impersonation, where the principal used in the EIS system exactly matches the principal in the application server. The fourth is Credentials Mapping, which is similar to Caller Impersonation, except the sort of credentials must live mapped from application server credentials to EIS credentials.

    While it's easiest to configure the security properties at deployment time, such a strategy proves slightly less flexible because the security properties cannot change at runtime. As an alternative, you can configure security properties by component-managed sign-on, which allows you to pass security properties each time a connection is acquired from the resource adapter.


    To retrieve and update data, you employ JCA's CCI layer, a procedure resembling using JDBC to summon stored procedures. A JCA resource adapter is not required to back the CCI layer (the resource adapter creators can choose their own API set), and, even if the resource adapter does back CCI, it may besides back an API specific for that particular adapter.

    Goodbye, Java Enterprise Edition. Hello, Jakarta EE | real questions and Pass4sure dumps

    April 30, 2018 Alex Woodie

    Developers who consume Java Enterprise Edition will live elated to know that the progress and runtime platform is gaining new life as Jakarta EE. As section of an agreement with Oracle, the tech giant will give up control over the platform to Eclipse Foundation, which has ample plans to remake enterprise Java for the emerging cloud world.

    Since it bought Sun Microsystems back in 2010, Oracle has been fully in charge of Java. That includes defining not just the core Java language, but having a ample hand in everything else governed through the Java Community Process (JCP), including the Java Virtual Machine (JVM), the measure Edition (JSE) runtime, and the Java Enterprise Edition (JEE) platform, which provided enterprise-level capabilities for running Java applications at scale, including consume of web services and distributed execution of code.

    In the early 2000s, prior to the Sun acquisition, the pace of innovation was heavy, as Java and JEE spread throughout corporate America and the entire world. Under the J2EE moniker, companies readily adopted a variety of Java Service Requests (JSRs), or JEE specifications, delivered under the Enterprise Edition umbrella. That included JSRs relish Java servlets, Java ServerPages (JSP), Enterprise JavaBeans (EJBs), Java ServerFaces (JSF) J2EE Connector Architecture (JCA), the Java Persistence API (JPA) and the Java Message Service (JMS), among others.

    However, over the past few years, the excitement over JEE has waned and the pace of change has slowed considerably. In the drop of 2017, Oracle decided that it had had enough and, at the urging of a group of vendors that included IBM, Red Hat, and others, it agreed to renounce control of Java EE to the Eclipse Foundation, which is the driving constrain behind the Java-based integrated progress environment (IDE) of the selfsame name.

    Mike Milinkovich, executive director of the Eclipse Foundation, says the scoot is impeccable about breathing new life into the Java Enterprise Edition platform.

    “Under Oracle, it was Oracle people who were defining the architecture and deciding what was going to live in the release, and doing by far the bulk of the application in driving the specs forward and driving the reference implementation forward,” Milinkovich tells IT Jungle. “That’s what this is about: Picking up the pace of communication, listening to the community about what they want us to build, and having for the first time in a number of years the adequate resources to actually scoot forward on executing this. That’s to a large degree what this is about.”

    Getting the enterprise Java ball out of Oracle’s hands should attend align incentives for the other tech vendors working in the enterprise Java realm. “In the previous world, Oracle was paying the paychecks for virtually everybody involved with setting the platform,” Milinkovich says. “Now it’s a much more diverse set of paymasters, if you want to consume that analogy, for who’s acutely investing their progress resources into the platform.”

    The first order of business at the Eclipse Foundation was to choose a new name, and after a vote of 7,000 people, the denomination Jakarta EE was selected. But don’t live fooled into you thinking that “EE” stands for “Enterprise Edition,” Milinkovich says. “The EE doesn’t actually stand for Enterprise Edition. It actually doesn’t stand for anything at all,” he says. “It’s just section of the brand.”

    Whatever the name, Jakarta EE’s connection to JEE and the full Java stack is clear. Jakarta EE will continue to race on top of JSE. It will continue to adhere to the JCP for specifications and it will continue to live developed as an open Java progress Kit (JDK).

    One thing that will change is that the Eclipse Foundation will create an entirely new specification process for Jakarta EE, Milinkovich says. The new spec process will live the vehicle through which the community decides where to hoist Jakarta EE next. “It’s going to live a much more of a collaborative and joint application as opposed to a solitary vendor exercise,” he says.

    The Eclipse Foundation recently conducted a survey to notice where the Jakarta EE community (nee J2EE community) wants the technology to go. According to the Jakarta EE Developer Survey 2018, the three most critical areas cited for improvement were better back for microservices, autochthonous integration with container technology relish Kubernetes and Docker, and a faster pace of innovation.

    While new specs haven’t been set in stone, it’s limpid what direction the JEE community wants to notice Jakarta EE going. Historically, JEE was traditionally implemented on-premise, but the paramount importance of supporting emerging cloud paradigms came through loud and limpid in the survey.

    Jakarta EE Developer Survey 2018

    “You acquire a situation where 1,000 of the Fortune 1,000 consume this technology for running their business today,” Milinkovich says. “If they can provide them with a migration path from what they acquire today to micro-services architecture and the cloud-native capability of their next-generation applications — that’s going to attend them compose the switch a lot faster.”

    It’s impeccable about protecting the investment they’ve made not just in enterprise Java applications, but in enterprise Java developers, Milinkovich says. “Today there are millions of developers who know Java EE,” he says. “There a lot of people who are very passionate about this technology, and if they can give them a platform by which they can bring their skills forward and allow them to build applications using these new architectures with the skills they acquire . . . then that’s going to live a real capitalize to those developers.”

    As founding members of the Jakarta EE Working Group, Oracle, IBM, Red Hat, Fujitsu, Lightbend, Payara Systems, Pivotal, Tomitribe, and Webtide will acquire influence over the direction of this technology. But the Eclipse Foundation wants to animate the entire Java community to collect behind Jakarta EE.

    “If you assume about the fact that pretty much impeccable the enterprise acquire large investment in this technology platform and now acquire an break to participate with the vendors and community in shaping its evolution, they assume that that’s a bizarre value proposition for those enterprises,” Milinkovich says. “We’re going to live doing everything they can to recruit those companies to not just become members and engage with the governance of these projects, and attend implement the roadmap and share the future, but learning it’s in their best interest and their staff and developers to actually belt people into the open source projects and really engage at the project-level in driving these technologies forward.”


    Java On IBM i: A Developing Situation

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