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1Z0-895 exam Dumps Source : Java Platform Enterprise Edition 6(R) Enterprise JavaBeans Developer Certified Expert(R)

Test Code : 1Z0-895
Test designation : Java Platform Enterprise Edition 6(R) Enterprise JavaBeans Developer Certified Expert(R)
Vendor designation : Oracle
: 302 true Questions

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Oracle Java Platform Enterprise Edition

Oracle Java typical version Runtime atmosphere | true Questions and Pass4sure dumps

Oracle Java common edition Runtime ambiance (also called JRE SE, Java SE or Java SE Runtime ambiance) is a closed-source and freely distributed computer know-how that offers a straightforward pass to race Java classes on any Linux-based mostly working device.

Invented via solar Microsystems

in the genesis invented by using sun Microsystems for interactive tv, the application changed into in the past called Java 2 Platform, common version or J2SE. It became later got by pass of the Oracle agency that now actively develops and maintains the source code.

it's called Java SE (normal version) because the know-how is besides disbursed as a Micro version (ME) and an commerce version (EE), which are available best for embedded methods/cellular gadgets and enterprise computing structures respectively.

dispensed as binary packages for outright Linux distributions

The assignment makes it possible for users to prize outright the latest and most effectual Java applied sciences from each the web and Java applications which are always distributed as JAR files. it is allotted as binary archives that will besides breathe deployed on any 64-bit or 32-bit GNU/Linux distribution.

moreover the regular binary info, Oracle additionally offers Linux clients with binary packages for outright RPM-primarily based Linux distributions, including purple Hat enterprise Linux, Fedora, openSUSE and OpenMandriva.

Supported on a great number of working methods

The JRE (Java Runtime environment) and JDK (Java structure package) systems are platform-independent and confiscate with many open supply and commercial working systems, comparable to Linux, BSD, Solaris, Microsoft windows and Mac OS X, helping the sixty four-bit, 32-bit and SPARC architectures.

whereas the Java Runtime atmosphere platform is used handiest for enjoying wealthy net content material and Java classes, the Java construction apparatus platform helps Java builders to create up to date content material for websites or characteristic-prosperous applications that travail on numerous systems.

Java evolution package carries Java Runtime atmosphere

it's additionally essential to know that JDK (Java construction kit) consists of the JRE (Java Runtime ambiance) platform, so you don’t hold to down load them one at a time if your main direct is to enhance in Java.

Java Runtime atmosphere Java benchmark edition Oracle Java Oracle Java JRE SE

Oracle: Java EE wants an Open supply basis | true Questions and Pass4sure dumps


Oracle: Java EE needs an Open source basis
  • by using John okay. Waters
  • 08/17/2017
  • With Java EE 8 poised to trudge GA, and JavaOne 2017 simply around the nook, Oracle Corp. says the time is revise to "rethink" how Java EE is developed, and it's considering that the talents advantages of pitiful the platform and linked technologies to an open source groundwork "to develop it more agile and attentive to changing industry and technology calls for."

    The Redwood Shores, Calif.-based steward of Java Put ahead that thought these days on The Aquarium weblog.

    "We coincide with that pitiful Java EE applied sciences to an open source basis may well breathe the perquisite subsequent step, in order to adopt extra agile tactics, Put in accommodate extra bendy licensing, and change the governance process," wrote Oracle software evangelist David Delabassee. "We procedure on exploring this probability with the neighborhood, their licensees and several candidate foundations to peep if they can movement Java EE ahead during this path."

    The roster of applied sciences that tumble below the Java Platform commerce edition umbrella at present comprises both open and proprietary tech. The TCKs (look at various compatibility kits), as an example, which can breathe used to validate and prove an implementation of the spec is compliant, are proprietary. And Java EE is licensed beneath an Oracle commerce license.

    Mike Lehman, VP of product administration at Oracle, additionally pointed to the notoriously byzantine Java Specification Participation agreement (JSPA), which former Chair of the Java group technique (JCP) Patrick Curran as soon as referred to as "large and horrifying," as a allotment of the Java EE structure system that may well breathe dramatically enhanced by pass of this kindhearted of movement.

    "The procedure itself within the JCP is idiosyncratic to the Java group and sphere to licensing suggestions and criminal terms that are sometimes not viewed as permissive and simple as different foundations," Lehman stated in an email, "like Apache or Eclipse…"

    Lehman allowed that what Oracle is suggesting isn't as much about open sourcing Java EE because it is "opening up and updating the manner linked to Java EE to breathe suitable with the centered open source foundation system."

    in the Aquarium post, Delabassee emphasised that, whereas Oracle is exploring this concept, it intends "to meet its ongoing commitments to builders, pause users, valued clientele, expertise patrons, know-how contributors, partners, and licensees."

    "And they will assist current Java EE implementations and future implementations of Java EE 8," he wrote. "we can continue to participate sooner or later evolution of Java EE applied sciences. however they accept as sincere with a extra open system, that is not relative on a single supplier as platform lead, will motivate more desirable participation and innovation, and will breathe in most fulfilling pastimes of the community."

    at least one main supplier believes Oracle is on the perquisite track. "We reckon that placing Java EE below the jurisdiction of an open supply company is a very advantageous movement in order to capitalize the whole commerce Java community," referred to John Clingan, senior precept product supervisor at purple Hat, in an electronic mail. "whereas there's lots of constituent to flesh out, red Hat is optimistic and applauds Oracle's conclusion to develop Java EE beneath an open and collaborative group."

    red Hat is a member of the JCP and leads the CDI and Bean Validation Java EE-linked JSRs. The commerce is a Java EE licensee, and its JBoss enterprise software Platform is thoroughly Java EE-suitable.

    an additional JCP member, Reza Rahman, a longtime enterprise Java evangelist and founding member of the Java EE Guardians, additionally favored the idea.

    "here's exotic news," Rahman instructed ADTMag, "and a very long time coming."

    Rahman and the Guardians began making the case that Oracle has been "conspicuously neglecting" Java EE considering that the neighborhood changed into founded closing yr.

    "I suppose it remains proper that Oracle undervalues Java EE," he talked about. "I enact not judge the enterprise knows Java EE and what it could possibly enact for it the way, for example, Microsoft is close with the cost of .web. here's actually a huge conquest for a lot of of us within the group. Now the ball is in their court docket, and the onus is upon us to develop the most of it."

    Oracle needs remarks on this recommended recent path for Java EE building, and the commerce is providing a condition to weigh in by the consume of e mail:

    concerning the creator

    John has been covering the excessive-tech beat from Silicon Valley and the San Francisco Bay zone for very nearly two many years. He serves as Editor-at-huge for utility construction traits ( and contributes constantly to Redmond magazine, The technology Horizons in education Journal, and Campus expertise. he's the author of more than a dozen books, together with The every petite thing ebook to convivial Media; The everything desktop ebook; Blobitecture: Waveform architecture and Digital Design; John Chambers and the Cisco means; and Diablo: The reputable fashion e-book.

    Oracle Shares Key Updates on Java Platform, commerce edition, Introduces GlassFish Server Open source version four.1 at JavaOne 2014 | true Questions and Pass4sure dumps

    Oracle Shares Key Updates on Java Platform, enterprise version, Introduces GlassFish Server Open source version 4.1 at JavaOne 2014

    source: Oracle organisation

    Oracle Corporation

    September 29, 2014 11:10 ET

    Oracle details recent Capabilities in Upcoming Java EE 8 and Enhancements to GlassFish Server Open supply version

    SAN FRANCISCO, CA--(Marketwired - Sep 29, 2014) - JAVAONE, SAN FRANCISCO - Oracle (NYSE: ORCL)

    information abstract Ubiquitous throughout the know-how landscape, Java is the world's most regularly occurring programming language and serves as the spine of countless imaginitive applied sciences. as the world regular in neighborhood-pushed enterprise software, Java Platform, commerce edition (Java EE) is a a must hold platform for the structure and birth of commercial enterprise-grade applications and functions. To that end, Oracle and the Java neighborhood are normally innovating to pressure Java EE ahead and bring cost to end-users. At JavaOne 2014, Oracle highlighted key updates to the Java EE platform, together with upcoming groundbreaking facets in Java EE eight, and additionally introduced the latest version of GlassFish Server Open supply edition 4.1.

    information facts

  • At JavaOne 2014, Oracle is showcasing the latest trends for Java Platform, enterprise edition (Java EE) and future plans for Java EE eight.
  • additionally, the company is introducing GlassFish Server Open supply edition four.1, which offers up to date platform help, recent features, and an enhanced developer event.
  • Java EE eight, the next era of Java EE, has been authorized by pass of the Java group system (JCP) govt Committee as Java Specification Request (JSR) 366 and is slated to breathe launched in 2016.
  • because the industry habitual for Java enterprise computing, Java EE makes it possible for dissimilar implementations, which lowers random by providing businesses a option of product implementation and carriers.
  • furthermore, Java EE provides a undoubted basis that evolves to answer the needs of commercial enterprise applications.
  • Java EE eight will tender greater HTML5 champion to bring scalable services to cellular instruments and browsers, ease of structure for more desirable developer productiveness and less boilerplate code, and cloud enablement for portable applications in cloud environments.
  • Java EE 8 is defined inside the JCP, which ensures a clear discussion board that encourages collaboration among individuals, carriers, and enterprises to create the Java EE 8 specification.
  • also at JavaOne 2014, Oracle will indicate off the effectual momentum and endured innovation in the back of Java Platform, typical edition 8 (Java SE 8), which has viewed list adoption.
  • Oracle is showcasing these and different Java enhancements outright over JavaOne 2014, running September 28 through October 2, 2014 on the Hilton San Francisco Union square and Parc fifty five Wyndham.
  • New Capabilities for the unvarying in community-driven enterprise application

  • Developed using the Java group technique with contributions from industry specialists and commercial and open supply groups, Java EE is the ordinary in community-driven commercial enterprise application. authorized JSRs expected to breathe featured in Java EE 8 consist of:
  • Java API for JSON Binding 1.0 (JSR 367): Bidirectional mapping of Java objects and their JSON representations
  • Java Message carrier 2.1 (JSR 368): CDI alignment and better ease of use
  • Java Servlet 4.0 (JSR 369): HTTP 2.0 aid
  • Java API for RESTful web features 2.1 (JSR 370): Server-sent pursuits
  • model-View-Controller 1.0 (JSR 371): Standardized action-oriented MVC framework
  • JavaServer Faces 2.three (JSR 372): better AJAX API
  • additional JSRs are being deliberate, together with:
  • Java EE security 1.0: Simplifies the construction of at ease functions
  • leisure administration 1.0: RESTful management and monitoring of Java EE application servers
  • JSON Processing 1.1: better champion for Java SE eight and editing/remodeling JSON object model
  • Enhancements to GlassFish Server Open supply version

  • GlassFish Server Open source version 4.1 offers various recent facets together with updated platform aid and an greater developer experience.
  • GlassFish Server Open supply edition four.1 contains:
  • up to date platform assist: the recent release aspects platform champion for Java eight, as well as assist for WebSocket 1.1 and CDI 1.2 maintenance releases.
  • stronger exceptional and developer adventure: the recent release comprises up-to-date types of more than 20 subprojects and promises greater than 1,000 bug fixes and feature enhancements.
  • WebSocket Reference Implementation (Tyrus): This implementation provides session limits, proxy assist, customer reconnect, optimized broadcast, and performance metrics uncovered over Java administration Extension (JMX).
  • JAX-RS Reference Implementation (Jersey): This implementation provides a recent diagnostics API and Server-sent adventure client reconnect.
  • JMS over WebSocket (OpenMQ): GlassFish Server Open source edition 4.1 adds aid for speaking over WebSocket, together with the mqstmp and mqjsonstmp protocols for non-Java shoppers.
  • NetBeans eight.0.1 integration: GlassFish Server Open supply edition 4.1 is now bundled in NetBeans eight.0.1, for a productive out-of-the-box Java EE 7 structure experience.
  • The Java EE 7 software structure apparatus (SDK) has been updated to consist of GlassFish Server Open source edition four.1, in addition to an up-to-date Java EE tutorial and a recent zip installer.
  • Oracle is besides providing an up-to-date Java EE Reference Implementation according to GlassFish Server Open source version 4.1.
  • assisting Quote

  • "Java Platform, enterprise edition, the industry typical for commercial enterprise Java, continues to pilot the industry with a substantial volume of participation from consumer groups, groups, trade experts, and individual developers," talked about Anil Gaur, vice chairman of utility development, Oracle. "This participation manifests itself through GlassFish Server Open source version four.1 as an implementation of the latest Java EE 7 normal, and additionally with the active involvement of the approaching Java EE 8 platform throughout the undertake-a-JSR software."
  • aiding substances

    Java records and Figures

  • 9 million builders worldwide
  • more than three billion devices are powered by means of Java expertise
  • more than 125 million Java-based mostly media contraptions had been deployed
  • Over 10 billion Java playing cards had been shipped given that its introduction
  • About Oracle Oracle engineers hardware and utility to travail collectively within the cloud and to your facts middle. For extra assistance about Oracle (NYSE: ORCL), visit

    About JavaOne The JavaOne conference brings together Java experts and lovers for an wonderful week of discovering and networking concentrated totally on outright issues Java. With more than 550 periods protecting themes that span the breadth of the Java universe, keynotes from most suitable Java visionaries, tutorials, and professional-led palms-on studying opportunities, JavaOne is the realm's most necessary event for the Java neighborhood. relate the JavaOne dialogue on Twitter, fb, LinkedIn, and the JavaOne blog.

    trademarks Oracle and Java are registered logos of Oracle and/or its affiliates. other names may breathe trademarks of their respective house owners.

    For a higher suffer the usage of this website, gladden better to a modern web browser.

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    Oracle provides fresh beans for Java developers | true questions and Pass4sure dumps

    Oracle hopes to expand its role in driving developer adoption of the Java 2 Enterprise Edition (J2EE) platform by spearheading a project within the Eclipse open-source community.

    The project will champion the Enterprise Java Beans (EJB) 3.0 specification, which serves as the foundation for J2EE 5.0, and will significantly ease application evolution and better developer productivity, said Dennis MacNeil, the product director for J2EE application servers at Oracle.

    As the project leader, Oracle will abet build an open source EJB 3.0 Object-Relational Mapping (ORM) implement under the Eclipse Public License that focuses on design-time tooling and supports deployment to any J2EE-compatible application server.

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    "The main improvement in EBJ 3.0 is simplifying the persistence model; pitiful from a heavyweight proponent mode to using unpretentious obsolete Java objects," said Dennis Leung, vice president of evolution at Oracle. "That in itself is very significant because it runs faster and is easier to evolve; you don't hold outright these other artifacts and classes and there's a lot less code to write."

    Leung added that fewer XML mediated fields in EJB 3.0 develop the platform much simpler to develop on.

    MacNeil said the timeline for Eclipse projects typically involves a month long review phase, during which an official release schedule will breathe finalized. Further information on the Eclipse project will breathe available in a few months time.

    An Overview of Batch Processing in Java EE 7.0 | true questions and Pass4sure dumps

    This post by Mahesh Kannan appears via Oracle.

    Batch processing is used in many industries for tasks ranging from payroll processing; statement generation; end-of-day jobs such as interest calculation and ETL (extract, load, and transform) in a data warehouse; and many more. Typically, batch processing is bulk-oriented, non-interactive, and long running—and might breathe data- or computation-intensive. Batch jobs can breathe race on schedule or initiated on demand. Also, since batch jobs are typically long-running jobs, check-pointing and restarting are common features organize in batch jobs.

    JSR 352 (Batch Processing for Java Platform), allotment of the recently introduced Java EE 7 platform, defines the programming model for batch applications plus a runtime to race and manage batch jobs. This article covers some of the key concepts including feature highlights, an overview of selected APIs, the structure of Job Scheduling Language, and a sample batch application. The article besides describes how you can race batch applications using GlassFish Server Open Source Edition 4.0.

    Batch Processing Architecture

    This section and figure 1 characterize the basic components of the batch processing architecture.

    Figure 1

    Figure 1

  • A job encapsulates the entire batch process. A job contains one or more steps. A job is Put together using a Job Specification Language (JSL) that specifies the sequence in which the steps must breathe executed. In JSR 352, JSL is specified in an XML file called the job XML file. In short, a job (with JSR 352) is basically a container for steps.
  • A step is a domain object that encapsulates an independent, sequential side of the job. A step contains outright the necessary logic and data to effect the actual processing. The batch specification deliberately leaves the definition of a step vague because the content of a step is purely application-specific and can breathe as complex or simple as the developer desires. There are two kinds of steps: chunk and batchlet.
  • A chunk-style step contains exactly one ItemReader, one ItemProcessor, and one ItemWriter. In this pattern, ItemReaderreads one detail at a time, ItemProcessor processes the detail based upon the commerce logic (such as "calculate account balance"), and hands it to the batch runtime for aggregation. Once the "chunk-size" number of items are read and processed, they are given to an ItemWriter, which writes the data (for example, to a database table or a flat file). The transaction is then committed.
  • JSR 352 besides defines a roll-your-own kindhearted of a step called a batchlet. A batchlet is free to consume anything to accomplish the step, such as sending an e-mail.
  • JobOperator provides an interface to manage outright aspects of job processing, including operational commands, such as start, restart, and stop, as well as job repository commands, such as retrieval of job and step executions. espy section 10.4 of the JSR 352 specification for more details about JobOperator.
  • JobRepository holds information about jobs currently running and jobs that ran in the past. JobOperator provides APIs to access this repository. A JobRepository could breathe implemented using, say, a database or a file system.
  • Developing a Simple Payroll Processing Application

    This article demonstrates some of the key features of JSR 352 using a simple payroll processing application. The application has been intentionally kept quite simple in order to focus on the key concepts of JSR 352.

    The SimplePayrollJob batch job involves reading input data for payroll processing from a comma-separated values (CSV) file. Each line in the file contains an employee ID and the base salary (per month) for one employee. The batch job then calculates the tax to breathe withheld, the bonus, and the net salary. The job finally needs to write out the processed payroll records into a database table.

    We consume a CSV file in this illustration just to demonstrate that JSR 352 allows batch applications to read and write from any capricious source.

    Job Specification Language for the Payroll Processing Application

    We discussed that a step is a domain object that encapsulates an independent, sequential side of the job, and a job is basically a container for one or more steps.

    In JSR 352, a JSL basically specifies the order in which steps must breathe executed to accomplish the job. The JSL is powerful enough to allow conditional execution of steps, and it besides allows each step to hold its own properties, listeners, and so on.

    A batch application can hold as many JSLs as it wants, thus allowing it to start as many batch jobs as required. For example, an application can hold two JSLs, one for payroll processing and another for report generation. Each JSL must breathe named uniquely and must breathe placed in the META-INF/batch-jobs directory. Subdirectories under META-INF/batch-jobs are ignored.

    Our JSL for payroll processing is placed in a file called SimplePayrollJob.xml and looks dote Listing 1:

    <job id="SimplePayrollJob" xmlns= version="1.0"> <step id="process"> <chunk item-count="2"> <reader ref="simpleItemReader/> <processor ref="simpleItemProcessor/> <writer ref="simpleItemWriter/> </chunk> </step> </job>

    Listing 1

    Our SimplePayrollJob batch job has just one step (called "process"). It is a chunk-style step and has (as required for a chunk-style step), an ItemReader, an ItemProcessor, and an ItemWriter. The implementations for ItemReader, ItemProcessor, andItemWriter for this step are specified using the ref attribute in the <reader>, <processor>, and <writer> elements.

    When the job is submitted (we will espy later how to submit batch jobs), the batch runtime starts with the first step in the JSL and walks its pass through until the entire job is completed or one of the steps fails. The JSL is powerful enough to allow both conditional steps and parallel execution of steps, but they will not cover those details in this article.

    The item-count attribute, which is defined as 2 in Listing 1, defines the chunk size of the chunk.

    Here is a high-level overview of how chunk-style steps are executed. gladden espy section 11.6 ("Regular Chunk Processing") of the JSR 352 specification for more details.

  • Start a transaction.
  • Invoke the ItemReader and pass the detail read by the ItemReader to the ItemProcessor. ItemProcessor processes the detail and returns the processed detail to the batch runtime.
  • The batch runtime repeats Step 2 item-count times and maintains a list of processed items.
  • The batch runtime invokes the ItemWriter that writes item-count number of processed items.
  • If exceptions are thrown from ItemReader, ItemProcessor, or ItemWriter, the transaction fails and the step is marked as "FAILED." gladden refer to Section ("Skipping Exceptions") in the JSR 352 specification.
  • If there are no exceptions, the batch runtime obtains checkpoint data from ItemReader and ItemWriter (see section 2.5 in the JSR 352 specification for more details). The batch runtime commits the transaction.
  • Steps 1 through 6 are repeated if the ItemReader has more data to read.
  • This means that in their example, the batch runtime will read and process two records and the ItemWriter will write out two records per transaction.

    Writing the ItemReader, ItemProcessor, and ItemWriter Writing the ItemReader

    Our payroll processing batch JSL defines a single chunk style step and specifies that the step uses an ItemReader namedsimpleItemReader. Their application contains an implementation of ItemReader to read input CSV data. Listing 2 shows a snippet of our ItemReader:

    @Named public class SimpleItemReader extends AbstractItemReader { @Inject private JobContext jobContext; ... }

    Listing 2

    Note that the class is annotated with the @Named annotation. Because the @Named annotation uses the default value, the Contexts and Dependency Injection (CDI) designation for this bean is simpleItemReader. The JSL specifies the CDI designation of the ItemReader in the<reader> element. This allows the batch runtime to instantiate (through CDI) our ItemReader when the step is executed.

    Our ItemReader also injects a JobContext. JobContext allows the batch artifact (ItemReader, in this case) to read values that were passed during job submission.

    Our payroll SimpleItemReader overrides the open() method to open the input from which payroll input data is read. As they shall espy later, the parameter prevCheckpointInfo will not breathe null if the job is being restarted.

    In their example, the open() method, which is shown in Listing 3, opens the payroll input file (which has been packaged along with the application).

    public void open(Serializable prevCheckpointInfo) throws Exception { JobOperator jobOperator = BatchRuntime.getJobOperator(); Properties jobParameters = jobOperator.getParameters(jobContext.getExecutionId()); String resourceName = (String) jobParameters.get("payrollInputDataFileName"); inputStream = recent FileInputStream(resourceName); br = recent BufferedReader(new InputStreamReader(inputStream)); if (prevCheckpointInfo != null) recordNumber = (Integer) prevCheckpointInfo; for (int i=1; i<recordNumber; i++) { //Skip upto recordNumber br.readLine(); } System.out.println("[SimpleItemReader] Opened Payroll file for reading from record number: " + recordNumber); }

    Listing 3

    The readItem() method basically reads one line of data from the input file and determines whether the line contains two integers (one for employee ID and one for base salary). If there are two integers, it creates and returns a recent instance of PayrollInputRecord and returns to the batch runtime (which is then passed to ItemWriter).

    public object readItem() throws Exception { object record = null; if (line != null) { String[] fields = line.split("[, \t\r\n]+"); PayrollInputRecord payrollInputRecord = recent PayrollInputRecord(); payrollInputRecord.setId(Integer.parseInt(fields[0])); payrollInputRecord.setBaseSalary(Integer.parseInt(fields[1])); record = payrollInputRecord; //Now that they could successfully read, Increment the record number recordNumber++; } revert record; }

    Listing 4

    The method checkpointInfo() is called by the batch runtime at the pause of every successful chunk transaction. This allows the Reader to check point the final successful read position.

    In their example, the checkpointInfo() returns the recordNumber indicating the number of records that hold been read successfully, as shown in Listing 5.

    @Override public Serializable checkpointInfo() throws Exception { revert recordNumber; }

    Listing 5

    Writing the ItemProcessor

    Our SimpleItemProcessor follows a pattern similar to the pattern for SimpleItemReader.

    The processItem() method receives (from the batch runtime) the PayrollInputRecord. It then calculates the tax and net and returns a PayrollRecord as output. Notice in Listing 6 that the character of object returned by an ItemProcessor can breathe very different from the character of object it received from ItemReader.

    @Named public class SimpleItemProcessor implements ItemProcessor { @Inject private JobContext jobContext; public object processItem(Object obj) throws Exception { PayrollInputRecord inputRecord = (PayrollInputRecord) obj; PayrollRecord payrollRecord = recent PayrollRecord(); int base = inputRecord.getBaseSalary(); float tax = base * 27 / 100.0f; float premium = base * 15 / 100.0f; payrollRecord.setEmpID(inputRecord.getId()); payrollRecord.setBase(base); payrollRecord.setTax(tax); payrollRecord.setBonus(bonus); payrollRecord.setNet(base + premium - tax); revert payrollRecord; } }

    Listing 6

    Writing the ItemWriter

    By now, SimpleItemWriter must breathe following predictable lines for you.

    The only incompatibility is that it injects an EntityManager so that it can persist the PayrollRecord instances (which are JPA entities) into a database, as shown in Listing 7.

    @Named public class SimpleItemWriter extends AbstractItemWriter { @PersistenceContext EntityManager em; public void writeItems(List list) throws Exception { for (Object obj : list) { System.out.println("PayrollRecord: " + obj); em.persist(obj); } } }

    Listing 7

    The writeItems() method persists outright the PayrollRecord instances into a database table using JPA. There will breathe at most item-count entries (the chunk size) in the list.

    Now that they hold their JSL, ItemReader, ItemProcessor, and ItemWriter ready, let's espy how a batch job can breathe submitted.

    Starting a Batch Job from a Servlet

    Note that the mere presence of a job XML file or other batch artifacts (such as ItemReader) doesn't imply that a batch job is automatically started when the application is deployed. A batch job must breathe initiated explicitly, say, from a servlet or from an Enterprise JavaBeans (EJB) timer or an EJB commerce method.

    In their payroll application, they consume a servlet (named PayrollJobSubmitterServlet) to submit a batch job. The servlet displays an HTML page that presents to the user a figure containing two buttons. When the first button, labeled Calculate Payroll, is clicked, the servlet invokes the startNewBatchJob method, shown in Listing 8, which starts a recent batch job.

    private long startNewBatchJob() throws Exception { JobOperator jobOperator = BatchRuntime.getJobOperator(); Properties props = recent Properties(); props.setProperty("payrollInputDataFileName", payrollInputDataFileName); revert jobOperator.start(JOB_NAME, props); }

    Listing 8

    The first step is to obtain an instance of JobOperator. This can breathe done by calling the following:

    JobOperator jobOperator = BatchRuntime.getJobOperator();

    The servlet then creates a Properties object and stores the input file designation in it. Finally, a recent batch job is started by calling the following:

    jobOperator.start(jobName, properties)

    The jobname is nothing but the job JSL XML file designation (minus the .xml extension). The properties parameter serves to pass any input data to the job. The Properties object (containing the designation of the payroll input file) is made available to other batch artifacts (such as ItemReader, ItemProcessor, and so on) through the JobContext interface.

    The batch runtime assigns a unique ID, called the execution ID, to identify each execution of a job whether it is a freshly submitted job or a restarted job. Many of the JobOperator methods prefer the execution ID as parameter. Using the execution ID, a program can obtain the current (and past) execution status and other statistics about the job. The JobOperator.start() method returns the execution ID of the job that was started.

    Retrieving Details About Batch Jobs

    When a batch job is submitted, the batch runtime creates an instance of JobExecution to track it. JobExecution has methods to obtain various details such as the job start time, job completion time, job exit status, and so on. To obtain the JobExecution for an execution ID, you can consume the JobOperator.getJobExecution(executionId) method. Listing 9 shows the definition of JobExecution:

    package javax.batch.runtime; public interface JobExecution { long getExecutionId(); java.lang.String getJobName(); javax.batch.runtime.BatchStatus getBatchStatus(); java.util.Date getStartTime(); java.util.Date getEndTime(); java.lang.String getExitStatus(); java.util.Date getCreateTime(); java.util.Date getLastUpdatedTime(); java.util.Properties getJobParameters(); }

    Listing 9

    Packaging the Application

    Now that they hold their JSL, ItemReader, ItemProcessor, ItemWriter, and their servlet ready, it is time to package them and pick up ready to deploy.

    You can deploy your batch application as any of the supported Java EE archives (for example, .war, .jar, or .ear). You can bundle your batch artifact classes along with other Java EE classes (such EJB beans and servlets).

    The only special requirement is that you need to condition your job JSLs under the META-INF/batch-jobs directory for .jar files. For.war archive types, condition your job JSLs under the WEB-INF/classes/META-INF/batch-jobs directory.

    Deploying and Running the Payroll Sample Application in GlassFish 4.0

    Let's deploy the payroll application that they hold developed into the GlassFish 4.0 application server. GlassFish 4.0 is the reference implementation (RI) for the Java EE 7.0 specification and contains the RI for JSR 352 as well. You can find more information about GlassFish 4.0 at and about the Java Batch 1.0 RI at

    Installing and Starting GlassFish 4.0

    You can download GlassFish 4.0 from and then install it. Start GlassFish 4.0 by opening a command window and running the following command:

    <GlassFish Install Dir>/bin/asadmin start-domain

    Because the sample payroll application uses a database (to write out processed data), they need a database running before they can race their application. You can start the Apache Derby database by running the following command:

    <GlassFish Install Dir>/bin/asadmin start-database Compiling, Packaging, and Deploying the Payroll Application

    First, create a recent directory named hello-batch. Then change to the hello-batch directory:

    cd hello-batch

    To compile and package, race the following command, which creates hello-batch.war under the target directory:

    mvn immaculate package

    To deploy hello-batch.war, race the following command:

    <GlassFish Install Dir>/bin/asadmin deploy target/hello-batch.war

    If you want to redeploy the application, you can race the following command:

    <GlassFish Install Dir>/bin/asadmin deploy -force target/hello-batch.war Running the Payroll Application

    Once you deploy the hello-batch.war file, you can race the application by accessing http://localhost:8080/hello-batch/PayrollJobSubmitterServlet from a browser. Accessing this URL should present the screen shown in figure 2.

    Figure 2

    Figure 2

    Click the Calculate Payroll button and you should espy a recent entry in the table, as shown in figure 3.

    Figure 3

    Figure 3

    Click the Refresh button and you should espy the Exit Status and pause Time columns updated for the latest job (see figure 4). The Exit Status column shows whether the job failed or completed successfully. Since our SimplePayrollJob doesn't hold any errors (at least not yet!), the Exit Status displays COMPLETED.

    Figure 4

    Figure 4

    Click the Calculate Payroll and Refresh buttons a few more times. Note that each time a job is started, a recent execution ID (and instance ID) is given to the job, as shown in figure 5.

    Figure 5

    Figure 5

    Restarting Failed Jobs

    So far, they had been starting batch jobs using the jobOperator.start() method. Let's impart that their payroll input file has some errors. Either the ItemReader or the ItemProcessor could detect invalid records and fail the current step and the job. The administrator or the pause user can fix the error and can restart the batch job. This approach of launching a recent job that starts from the genesis after recovering from errors might not scale if the amount of data to breathe processed is large. JobOperator provides another fashion calledrestart() to solve exactly this problem.

    Quick Overview of JobInstance and JobExecution

    We saw earlier that a job is essentially a container for steps. When a job is started, it must breathe tracked, so the batch runtime creates aJobInstance. A JobInstance refers to the concept of a logical run. In their example, they hold a PayrollJob and if the PayrollJob is race every month, there will breathe a Jan-2013 JobInstance and there will breathe another Feb-2013 JobInstance, and so on.

    If the payroll processing for Jan-2013 fails, it must breathe restarted (after presumably fixing the error), but it is silent the Jan-2013 race because it is silent processing Jan-2013 records.

    A JobExecution refers to the concept of a single attempt to race a Job. Each time a job is started or restarted, a new JobExecution is created that belongs to the same JobInstance. In their example, if the Jan-2013 JobInstance is restarted, it is silent the very Jan-2013JobInstance but a new JobExecution is created that belongs to the same JobInstance.

    In summary, a job can hold one or more instances of JobInstance and each JobInstance can hold one or more JobExecutioninstances. Using a new JobInstance means "start from the beginning" and using an existing JobInstance generally means "start from where you left off."

    Resuming Failed Jobs

    If you recall, a chunk-style step executes in a transaction in which item-count entries are read, processed, and written. After theItemWriter's writeItems() has been invoked, the batch runtime calls the checkpointInfo() method on both ItemReader andItemWriter. This allows both ItemReader and ItemWriter to bookmark (save) their current progress. The data that is bookmarked for an ItemReader could breathe anything that will abet it to resume reading. For example, our SimpleItemReader needs to reclaim the line number up to which it has read successfully so far.

    Section 10.8 of the JSR 352 specification describes the restart processing in detail.

    Let's prefer a instant to peep into the log file where our SimpleItemReader outputs some useful messages from the open() andcheckpoint() methods. Each message is prefixed with the string [SimpleItemReader] so you can quickly identify the messages. The log file is located at <GlassFish install Dir>/domains/domain1/logs/server.log.

    Listing 10 shows the messages that are prefixed by the string [SimpleItemReader]:

    [SimpleItemReader] Opened Payroll File. Will start reading from record number: 0]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 2]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 4]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 6]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 8]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 9]] [SimpleItemReader] near called.]]

    Listing 10

    Note: You could besides consume the command tail -f server.log | grep SimpleItemReader.

    Because, their job XML file (SimplePayrollJob.xml) specifies a value of 2 for item-count as the chunk size, the batch runtime callscheckpointInfo() on our ItemReader every two records. The batch runtime stores this checkpoint information in JobRepository. So, if an error occurs during the midst of their chunk processing, the batch application must breathe able to resume from the final successful checkpoint.

    Let's insert some errors in their input data file and espy how they can recover from input errors.

    If you peep at their servlet's output, which is located under <GlassFish install Dir>/domains/domain1/applications/hello-batch/WEB-INF/classes/payroll-data/payroll-data.csv, you espy that it displays the location of the input file from where CSV data is read for their payroll application. Listing 11 shows the content of the file:

    1, 8100 2, 8200 3, 8300 4, 8400 5, 8500 6, 8600 7, 8700 8, 8800 9, 8900

    Listing 11

    Open your favorite editor and insert an error. For example, let's impart they add a few characters to the salary sphere on the eighth record, as shown in Listing 12:

    1, 8100 2, 8200 3, 8300 4, 8400 5, 8500 6, 8600 7, 8700 8, abc8800 9, 8900

    Listing 12

    Save the file and quit the editor. trudge back to your browser and click the Calculate Payroll button followed by the Refresh button. You would espy that the recently submitted job failed, as shown in figure 6. (Look at the Exit Status column.)

    Figure 6

    Figure 6

    You will besides notice that a Restart button appears next to the execution ID of the job that just failed. If you click Refresh, the job will fail (because they haven't fixed the issue yet). figure 7 shows what is displayed after a few clicks of the Refresh button.

    Figure 7

    Figure 7

    If you peep into the GlassFish server log (located under <GlassFish install Dir>/domains/domain1/logs/server.log), you will espy an exception, as shown in Listing 13:

    Caught exception executing step: Failure in Read-Process-Write Loop ... ... Caused by: java.lang.NumberFormatException: For input string: "abc8800" at java.lang.NumberFormatException.forInputString( at java.lang.Integer.parseInt( at java.lang.Integer.parseInt( at

    Listing 13

    You should besides notice that when you click the Restart button, a recent job execution is created but its job instance ID remains the same. When you click the Refresh button, our PayrollJobSubmitter servlet calls a fashion named restartBatchJob(), which is shown in Listing 14:

    private long restartBatchJob(long lastExecutionId) throws Exception { JobOperator jobOperator = BatchRuntime.getJobOperator(); Properties props = recent Properties(); props.setProperty("payrollInputDataFileName", payrollInputDataFileName); revert jobOperator.restart(lastExecutionId, props); }

    Listing 14

    The key line in Listing 14 is the summon to JobOperator's restart() method. This fashion takes a Properties object just like start(), but instead of passing a job XML file name, it passes the execution ID of the most recently failed job. Using the most recently failed job's execution ID, the batch runtime can retrieve the previous execution's final successful checkpoint. The retrieved checkpoint data is passed to the open() method of our SimpleItemReader (and ItemWriter) to enable them to resume reading (and writing) from the final successful checkpoint.

    While ensuring that your browser shows the page with a Restart button, edit the file again and remove the extraneous characters from the eighth record. Then click the Restart and Refresh buttons. The latest execution should parade a COMPLETED status, as shown in figure 8.

    Figure 8

    Figure 8

    It is time to peep into the log file to understand what just happened. Again, looking for messages prefixed with SimpleItemReader, Listing 15 shows what you might see:

    [SimpleItemReader] Opened Payroll File. Will start reading from record number: 7]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 9]] [SimpleItemReader] checkpointInfo() called. Returning current recordNumber: 10]] [SimpleItemReader] near called.]]

    Listing 15

    As you can see, our SimpleItemReader's open() method was called with the previous checkpoint value (which was record number 7) allowing our SimpleItemReader to skip the first six records and resume reading from the seventh record.

    Viewing Batch Jobs Using the GlassFish 4.0 Admin Console

    You can view the list of outright batch jobs in the JobRepository. Fire up a browser window and trudge to localhost:4848. Then click server (Admin Server) in the left panel, as shown in figure 9.

    Figure 9

    Figure 9

    You can click the Batch tab, which should list outright the batch jobs submitted to this GlassFish server. Note that the JobRepository is implemented using a database and, hence, the job details survive GlassFish 4.0 server restarts. figure 10 shows outright the batch jobs in theJobRepository.

    Figure 10

    Figure 10

    You can besides click one of the IDs listed under Execution IDs. For example, clicking 293 reveals details about just that execution:

    Figure 11

    Figure 11

    More details about the execution can breathe obtained by clicking the Execution Steps tab on the top.

    Figure 12

    Figure 12

    Look at the statistics provided by this page. It shows how many reads, writes, and commits were performed during this execution.

    Viewing Batch Jobs Using the GlassFish 4.0 CLI

    You can besides view the details about jobs running in the GlassFish 4.0 server by using the command-line interface (CLI).

    To view the list of batch jobs, open a command window and race the following command:

    asadmin list-batch-jobs -l

    You should espy output similar to figure 13:

    Figure 13

    Figure 13

    To view the list of batch JobExecutions, you can race this command:

    asadmin list-batch-job-executions -l

    You should espy output similar to figure 14:

    Figure 14

    Figure 14

    The command lists the completion status of each execution and besides the job parameters passed to each execution.

    Finally, in order to espy details about each step in a JobExecution, you could consume the following command:

    asadmin list-batch-job-steps -l

    You should espy output similar to figure 15:

    Figure 15

    Figure 15

    Take note of the STEPMETRICS column. It tells how many times ItemReader and ItemWriter were called and besides how many commits and rollbacks were done. These are extremely valuable metrics.

    The CLI output must match the Admin Console view because they both query the same JobRepository.

    You can use asadmin abet <command-name> to pick up more details about the CLI commands.


    In this article, they saw how to write, package, and race simple batch applications that consume chunk-style steps. They besides saw how the checkpoint feature of the batch runtime allows for the simple restart of failed batch jobs. Yet, they hold barely scratched the surface of JSR 352. With the complete set of Java EE components and features at your disposal, including servlets, EJB beans, CDI beans, EJB automatic timers, and so on, feature-rich batch applications can breathe written fairly easily.

    This article besides covered (briefly) the GlassFish 4.0 Admin Console and CLI champion for querying the batch JobRepository. Both the Admin Console and the CLI provide valuable details about jobs and steps that can breathe used to detect potential bottlenecks.

    JSR 352 supports many more exciting features such as batchlets, splits, flows, and custom checkpoints, which will breathe covered in future articles.

    See Also

    JSR 352

    About the Author

    Mahesh Kannan is a senior software engineer with Oracle's Cloud Application Foundation team, and he is the Expert Group Member for the Java Batch JSR. Due to his extensive suffer with application servers, containers, and distributed systems, he has served as lead architect and "consultant at large" on many projects that build innovative solutions for Oracle products.

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    MORGAN Studio

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