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Java in 2019: a gape forward

The past yr noticed a different surge within the evolution of Java, due to myriad adjustments that allows you to maintain lengthy-time era impacts on the Java developer community -- every thing from the Eclipse foundation's resolution to settle for stewardship of business Java and rename it Eclipse Jakarta to IBM's acquisition of crimson Hat, the release of JDK 11 to the appeals court docket ruling against Google in its lengthy-working combat with Oracle over Java copyrights, the latter enterprise's implementation of its faster Java free up cadence to its altenative to roll up the venerable JavaOne convention (already whittled outright the pass down to a subset of Oracle OpenWorld) into a brand original sustain with classes and keynotes protecting an accelerated menu of languages, frameworks, paraphernalia and tech referred to as Oracle Code One.

I reached out (as every person overlaying this beat does at the birth of a brand original 12 months) to business analysts, market watchers and Java jocks to find out what they coming in 2019 for this dynamic community.

Gartner analyst Ann Thomas noticed the writing on the wall for Java EE, now Eclipse Jakarta, at least a yr before that startling necessities-physique hand-off. She believes Oracle's original subscription mannequin goes to maintain the largest maintain an impact on on Java in 2019.

"Oracle will no longer distribute free trojan horse fixes and protection patches except for the latest edition of OpenJDK, and Oracle could exist releasing original types every 6 months," she pointed out in an email. however most Java applications nonetheless flee on Java 8, she stated, users who want to gain patches for Java eight going ahead requisite to either buy a Java Subscription from Oracle or locate another distribution, akin to AdoptOpenJDK, Amazon, Azul, IBM, or crimson Hat.

"lots of my valued clientele assume that the annual subscription can impregnate is greater than $1 million," she noted. "I hope that this original subscription mannequin will animate most agencies to adopt alternate distributions, and extremely few groups will ever adopt Java eleven or beyond. I trust that Java eight is the discontinue of the road."

She additionally pointed me to a Snyk survey file ("Which Java SE version carry out you use in construction in your leading software? "), posted in October on the JVM ecosystem in 2018, written by Simon Maple and Andrew Binstock, which i love to recommend.

For Michael Remijan, senior business Java developer and methods architect at the Federal Reserve bank of St. Louis, 2019 may exist the year they remark some wonderful consequences of the business embody of cloud computing.

"With IBM's acquisition of crimson Hat, it is sever IBM is making an attempt to profit some market share in cloud computing," he talked about in an electronic mail. "Amazon, IBM, Google and Microsoft outright look to exist scuffling with in the space, with Amazon the limpid leader in the meanwhile. as the trade sees 'cloud computing' because the technical route to stream toward, and as these vendors try to differentiate their cloud offerings, they will remark the endured rise of seller-specific construction talents and the decline of business specifications. In different phrases, companies can maintain requisite for Microsoft builders or Amazon builders, not necessarily Java/Jakarta EE developers."

Siddhartha Agarwal, Oracle's VP of product management and strategy usually has a savvy prediction or two at the instant of 12 months. (there is a motive I as soon as dubbed him "Oracle's Oracle.") This year turned into no exception; he sent me his newest checklist. however one in specific stands out for the Java neighborhood: "Serverless features retrograde spacious in creation."

"The attraction of serverless services is obvious: when there is exact for my code to exist carried out in response to a confident event, a characteristic assures it runs, however simplest for the amount of time that the code is required," he wrote. "for example, somebody can build a retrograde back and forth reserving characteristic to ebook/cancel flights, hotels and condo vehicles. each of these actions can besides exist built as a serverless duty written in sever languages similar to Java, Ruby, JavaScript and Python.

"For builders, these disconnected serverless capabilities/transactions strung collectively create some original challenges, comparable to figuring out how these features labor collectively to deliver a transaction, or, if things retrograde badly birthright through the movement, how to create compensating transactions to cancel. Debugging distributed transactions is besides a challenge. however these obstacles don't look to exist adequate to stall the adoption of serverless capabilities, given their fiscal merits of enormously decreased operations costs, from most efficacious purchasing what is basically used. So more and more developers will wish to movement functions out of the labs and into full construction. For that, quest open-supply tools, just love the FN task, to wave through helping developers manage composition and debugging, to exist capable of deploy and gape at various serverless capabilities on your laptop, or across any cloud. the well-known thing goes to exist picking out a serverless platform that provides highest portability."

Ivar Grimstad, a Java Champion, Oracle Groundbreaker Ambassador and JUG chief working as primary consultant for Cybercom neighborhood in Sweden, besides offered his predictions for the coming yr.

"I believe they can remark the trade embracing the quicker release cadence of Java to a far better diploma than thus far," he talked about in an electronic mail. "I account most groups had been caught a exiguous off guard when the brand original cadence was added and persevered appearing as they at outright times maintain performed related to well-known models, i.e. reluctantly and quiet considering when it comes to a required company commonplace VM edition. Following the expanding use of container technology, I account they will remark further and further agencies lax during this requirement and allow using different Java types. for this intuition the adoption of more recent Java versions will accelerate.

"As for Jakarta EE, I suppose that 2019 could exist the year it basically takes shape and they can remark business Java evolving within the open. I account they can proceed to gape lots of discussions about how the relationship with the Eclipse MicroProfile initiatives might be."

Forrester analysts John Rymer and Jeffrey S. Hammond pointed me to a document, "Predictions 2019," posted by pass of the firm in November, which i love to recommend. Hammond introduced a private commentary:

"according to their client inquires, we're going to remark a lot of progress shops scrambling to retest and recertify their apps on OpenJDK eight or OpenJDK eleven, to steer limpid of the unanticipated assist bills they display to exist getting from their Oracle reps," he referred to. "there will besides exist a lot of customers pressuring their third-birthday party ISVs with Java dependencies to carry out the equal, and i'd now not exist stunned to gape internet-new earnings of 3rd birthday celebration application income held up if the ISVs don't certify on OpenJDK."

Two succinctly stated insights from the record with a view to keep to developers of each stripe within the coming year: "Agile and DevOps are the brand original regular for builders;" and "Cloud-Native, value scurry and AI-primarily based paraphernalia Are among the many next frontiers."

search for my interviews with Eclipse groundwork leader Mike Milinkovich and JCP Chair Heather Van Cura, coming later this month.

Posted by means of John k. Waters on 01/03/2019 at 12:26 PM


Oracle broadcasts Migration of Java EE to Eclipse basis | killexams.com true Questions and Pass4sure dumps

In a pair of Oracle weblog posts dated August 17, 2017 and September 12, 2017, Oracle introduced that it's going to movement the stewardship of Java EE to the Eclipse groundwork. Java EE refers to Java enterprise version.

in keeping with Oracle’s blog posts, despite the fact Java EE is already open source and developed by the use of the participation of Java EE neighborhood, the circulate to Eclipse is geared toward making the process more agile, bendy, and open. Oracle announced it'll buy birthright here steps as quickly as feasible after the completion of Java EE edition eight (the date of which turned into no longer introduced):

· define a procedure through which current necessities can evolve and original standards may besides exist protected within the platform.

· outline a branding approach for the platform inside the Eclipse foundation, together with a brand original identify for Java EE (to exist decided). Oracle intends to permit use of present javax kit names and portion specification names for present JSRs to supply continuity.

· disclose the skill to construct a suitable implementation, the usage of Eclipse basis sources, that passes existing Java EE eight TCKs.

· Recruit and permit builders and other community individuals and providers to sponsor platform applied sciences to exist able to develop the platform within the Eclipse foundation.

· Relicense Oracle-led Java EE technologies and connected GlassFish technologies, together with RLS TCKs, and associated assignment documentation to Eclipse.

what's Java EE?

The various aspects of Java — platforms, VMs, TCKs, editions, and pile kits — will besides exist confusing. To account the implications of the migration of Java EE to Eclipse, you ought to understand how Java EE matches into the Java universe.

Java. “Java” is a go-platform programming language which became created to enable “write-as soon as run-anyplace” construction of applications. The time era Java essentially refers back to the programming language. That language makes use of syntax comparable to C, but executes differently. Java executes on a considerable number of structures via a “VM” or digital machine, and applications written in Java are pointed out to flee “on exact of” the VM. every application computing environment — similar to windows or Linux — has its own VM. inserting this deposit between the execution of the language and the computing ambiance competence that a solitary application can flee in many environments.

Java editions: over the years, Oracle (and before it, solar) developed a few editions of Java, the most successful of which is Java SE or common version. When most americans treat with Java utility, here's what they imply. typical version is written to set up Java applications on pcs or servers. different variations maintain covered cell (or Micro) version and Java FX (GUI tools). Java enterprise edition (mentioned beneath) changed into in the past referred to as J2EE.

Java EE: The Java ingredient worried in the newest announcement is Java “business version” or Java EE. Java EE runs on birthright of Java SE, import it extends the functionality of Java SE. The Java EE platform helps builders create tremendous-scale network applications. Descriptions of Java EE technologies utilized in every tier of these multi-tiered purposes (client, internet, enterprise) are here.

Java EE is once in a while referred to as a “platform,” a term used inconsistently in computing, however for Java it has a specific that means. A Java platform is a group of specifications. The specifications for Java EE edition 7, as an example, is here (click on the “download spec” hyperlink).

How Does the Migration maintain an outcome on the Java neighborhood?

The circulate to Eclipse is intended to foster a more group-pushed system for construction of the Java EE platform. previous to the stream to Eclipse, Oracle has developed specifications via the Java group process, or JCP. any person can participate in the JCP. although, to unite as a full member, a participant ought to enter into the Java Specification Participation settlement with Oracle. With the circulation to Eclipse, pile will buy zone under the participation methods of the Eclipse groundwork.

The movement to Eclipse will additionally outcome in adjustments to the TCK manner. The TCK is a compatibility check package intended to ascertain that an utility works with the Java EE platform. Oracle has lengthy taken the Place that most efficacious purposes that scurry the TCK can market themselves for that reason. earlier than the migration to Eclipse, TCKs maintain been commercially licensed, and this created some complaints within the group. After the migration to Eclipse, the TCK’s for Java EE will become open source. here's advantageous to open source builders who cannot or will no longer comply with proprietary terms.

however, it is censorious to note that the circulate announced via Oracle will no longer exchange the licensing of Java SE or OpenJDK. although some maintain recommended that a complete migration of Java to an independent foundation can exist welcome, Oracle has not yet taken that step.

greater about Java

For greater on the elements of the Java world, and their licensing, remark the word list below.

Java SE or Java generic version. Licensed below a proprietary license.

TCK or expertise Compatibility package. The TCK is a suite of tests that assessments a particular Java implementation of a specification for compliance with the Java requirements. Proprietary, however the TCK for Java EE will stream to open supply

RI or Reference Implementation. An RI is developed concurrently with standards and check suites. It verifies that the specification can besides exist carried out, makes it viable for the examine suite to exist validated, serves as a reference for other implementations, and helps to discover errors or design limpid error within the specification. Glassfish is Oracle’s Java EE reference implementation (see besides birthright here for different providers proposing implementations). Glassfish is licensed under CDDL and GPL+CE.

OpenJDK is Oracle’s open supply implementation of the Java VM, comparable to commonplace version.* JDK competence Java pile equipment. A JDK is a application pile atmosphere — a collection of paraphernalia for developing Java programs. OpenJDK is licensed beneath GPL+CE.

JVM and JRE are laptop programs software applications that permit a computer to flee a software written in Java. JVM competence Java virtual computing device; JRE capability Java Runtime environment.

Oracle JDK is abinary free up of OpenJDK. it's licensed below the Oracle Binary Code License settlement (though its counterpart OpenJDK is licensed under GPL/+CE, as described above).

How identical is a matter of debate. OpenJDK is free software, and Java SE isn't. for this reason, clients of Java are keenly interested in the additional cost represented by Java SE and therefore, no matter if a paid license is worth it. however this suggestions has always been tricky to pin down. Oracle says it's going to continue to ship commercial facets in Oracle JDK, comparable to Java Flight Recorder and Mission manage, below a click-via binary license and may offer paid assist for these builds. After Oracle JDK 9, Oracle plans to open-supply these industrial points, with the lengthy-time era train to design the OpenJDK and Oracle JDK builds interchangeable.

Heather Meeker is a associate within the Silicon Valley workplace of O’Melveny & Myers. She makes a speciality of know-how licensing, and is an internationally universal skilled on utility licensing, including open source utility licensing. She is the writer of the conventional handbook Open source for company. due to Daniel Levy, of O’Melveny & Myers, for his counsel on this text.


Oracle profits surge—at the expense of Java progress and utility aid | killexams.com true Questions and Pass4sure dumps

Oracle is very  haughty of its cloud sales. But not everyone is very  joyful about how it got them.Oracle is terribly joyful with its cloud revenue. but not outright and sundry is terribly chuffed about the pass it received them. Håkan Dahlström reader comments with sixty eight posters participating Share this story
  • Share on fb
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  • On June sixteen, Oracle enterprise released fiscal consequences for the fourth quarter of fiscal 12 months 2016, and company executives trumpeted the company's cloud services success. in accordance with the newest record, Oracle's cloud infrastructure, platform, and application capabilities collectively brought in $859 million for the quarter ending may additionally 31, in comparison to $576 million for the same duration in 2015. Oracle introduced in $2.853 billion in revenues for cloud and had an $eight.9 billion (£6.07 billion) earnings for the yr.

    however those numbers don't tell the complete story. Oracle's average profits changed into down, mostly on account of its shrinking "on premises" software revenue, which fell by means of $224 million versus 4Q FY2015 and via $1.245 billion (£0.85 billion) for the yr as a whole. utility license and software renovation revenue quiet account for 73 percent of Oracle's salary, whereas cloud debts for less than 5 p.c. Oracle's hardware revenues, which quiet account for 14 % of its overall salary, fell through 9 percent birthright through the quarter and 10 % for the full year.

    there is some controversy over Oracle's suggested cloud sales numbers, youngsters. On June 1, former Oracle senior finance manager Svetlana Blackburn filed retrograde well with in opposition t Oracle for wrongful termination in October of 2015, claiming that she became fired after she "resisted, refused to maintain interaction in, and threatened to blow the whistle on accounting practices she fairly believed to exist unlawful" surrounding how Oracle counted cloud revenues. In a statement to the click, an Oracle spokesperson denied that there was any wrongdoing.

    So how did Oracle extend earnings on revenue that shrank unbiased by means of about 1 %? The business slashed the working cost of performing application updates, license support, developing and assisting original hardware, and functions—in other words, via layoffs, consolidation, and redirection of efforts from areas that had been Oracle's core company. That endeavor has covered pretty much stopping pile labor on the repose that is not directly tied to income technology, including stirring the subsequent original release of the commercial enterprise Java platform forward, as a pair of closing dates for milestones within the release of Java commercial enterprise version (Java EE) eight were blown.

    in accordance with information gleaned from the Java group fashion (JCP) by means of Java community members linked to Java EE Guardians—a Java EE advocacy community that includes Java's main creator, Dr. James Gosling—development on Java EE eight essentially halted following the JavaOne convention in October 2015. (Java EE 8 is the subsequent generation of the server-side Java add-ons used in lots of enterprise application systems.) Some Oracle business shoppers maintain complained that there were long delays in addressing bugs, including safety flaws, in other software items.

    aside from its legal combat with Google over Android's use of Java APIs ,Oracle's commitment to the Java platform has been in query for a while. In November of 2013, Oracle halted advocate for enterprise users of the Glassfish Java commercial enterprise version server platform. And whereas the "Open" edition become nevertheless below pile up except October of 2015 and was meant to exist the groundwork of Java EE eight, Oracle introduced in April that the Java.web repository web site where Glassfish and other open Java tasks maintain resided could exist shuttered by pass of next April. And Oracle no longer indicated if there could exist future direct assist from Oracle for pile of the platform. meanwhile, pile of Java SE, the desktop Java runtime, has continued at life-assist ranges.


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    Capitalizing on the SAP consulting market in 2008 | killexams.com true questions and Pass4sure dumps

    The hardest thing for the SAP professional is to wait on top of where SAP is headed -- without overlooking the skills that are needed now. SAP does a terrific job of marketing its next-generation solutions, but what's next is not the all story.

    That's why I love to circle to SAP staffing professionals for their buy on the market. I maintain pulled together the SAP market outlooks of two executives with B2B Workforce: Brad Elster, vice president of sales; and Ray Kelly, vice president - B2B Solution Center.

    Recently, Brad and Ray attended SAP's FKOM (Field Kick Off Meeting) sessions and published some reviews of those sessions. The FKOM sessions are geared toward prepping SAP's sales compel and business partners for the coming year, so it's a considerable time to gain an inside view of SAP's market strategy.

    Why is SAP consulting exact as high as it's been in years?

    Before looking at the exact for particular SAP skills, it's a profitable concept to identify the forces that are driving the overall market. Ray Kelly sees three factors driving SAP consulting demand: SAP software license sales, major technology changes (related to original product versions and upgrades), and original product introductions, either internally or through acquisition. As Ray pointed out, "the last three years for SAP maintain seen unprecedented growth in outright three categories.

    "SAP license sales are higher than ever -- with 2007 another record year for license sales growth," he said. "As business process automation moves into the SOA era, SAP has introduced newer versions of their technology platform (NetWeaver 2004/s/7.0/7.1) and ECC, outright capable of running dual-stack environments (ABAP and Java), which easily advocate original product introductions."

    What are the areas of greatest SAP consulting demand?

    "The landscape of SAP skill-sets that are most in exact is ever-changing," Brad added. "However, from the tone at FKOM and my contact with their clients, I foresee high exact for NetWeaver, BW, Enterprise Portal, and HCM in the coming year. There is besides likely to exist a tenacious requisite for core ERP skills love FI, MM and PP."

    Ray spelled out three areas of SAP skills exact for 2008. First, he besides continues to remark exact in the core SAP ERP areas, such as FI/CO, SD, MM, PP, and HCM (formerly SAP HR). As he pointed out, however, "ECC sustain is mandatory, so if you are behind in your training, now is the time to 'take the leap' and deserve those extra dollars. Of those traditional ERP skills, they remark the highest exact for HCM skilled resources or consultants with upgrade experience. Traditional ERP skills combined with upgrade sustain will keep you in a premium class, earning you a higher rate."

    Ray and Brad are looking for résumés with "ECC" ERP skills. For anyone who isn't clear, the "ECC" is what SAP now calls the Enterprise Core Components. Starting with the ERP 5.0 release, and continuing with ERP 6.0, what they used to summon "R/3" in terms of the core modules is now referred to as ECC. Now that SAP is emphasizing ERP 6.0 as the "go-to release," what you are really shooting for is exposure to ECC 6.0. ECC 5.0 besides looks nice on the résumé, but it's outright about ERP 6.0 from this point forward. If these terminology changes design you a exiguous dizzy, you're not alone, but ERP 6.0 should remain the standard SAP release through at least 2010.

    The next zone of exact that Ray foresees relates to the technical innovations of the eSOA-enabled NetWeaver technology platform. He points out that SAP actually began to insert major changes to its underlying architecture in 2004, with the release of NetWeaver 2004s (the technical underpinnings of ECC 5.0).

    But it's not enough to focus on "getting NetWeaver experience." NetWeaver is actually a broader term for a number of components.

    "We remark extremely high exact for NetWeaver Architects, NetWeaver Basis (BI and Portal) and NetWeaver Developers (BI and Portal), outright of whom must exist skilled in the latest versions of the NetWeaver Platform (2004s, 7.0, 7.1)," Ray said.

    "Achieving a NetWeaver Upgrade certification offered by SAP America will keep you at the top of the class," he continued. "At minimum, most customers will achieve a technical upgrade (not introducing any additional functionality) of ERP (to ECC) and/or the NetWeaver Portal/BI platforms. Over the course of the three-day FKOM event, they were told a number of times that SAP's internal bench is drained of these resources."

    As Ray pointed out, the latest SAP upgrade wave is really driven by two other factors, SOA and business process transparency. "SAP has dramatically changed the integration layer of their platform to advocate SOA-enabled business processes, which will primarily consist of one or more business functions spanning across multiple technology landscapes," he said.

    Given this emphasis on integrated business processes, which SAP trumpets as the "Business Process Platform," two original product areas within NetWeaver that Ray sees as especially significant are PI (Process Integration, formerly XI), and MDM (Master Data Management).

    "In terms of PI/XI and MDM, contemplate of those components as 'repositories' which provide SOA enablement to seamlessly buy Place at the business process level," Ray said. "The technical infrastructure for Web services (primarily Java-enabled) is the NetWeaver Platform in a nutshell."

    So how does this lead to consulting demand? "Unfortunately for customers, but profitable for consultants, the PI/XI and MDM 'rules of engagement' maintain not been shared in the public domain," Ray said. "Getting the most out of NetWeaver is nowhere near as light as how their PC works today when they plug in their iPods or BlackBerrys." And that's where the consulting exact comes in! As Ray pointed out, there's a lot of rolling-up-the-sleeves labor involved here: "We will requisite to build these rules of engagement, individually by company and for each disparate system platform within each company that supports their business processes."

    Ray boiled it down simply: "Go re-tool yourself on PI/XI and MDM; they are here to wait and will exist mandatory for outright of SAP's current and future original product introductions."

    Brad Elster is the Vice President of Sales for B2B Workforce. He has been working in the SAP domain since 1997.

    Ray Kelly is the Vice President - B2B Workforce Solution Center. He has been working in the SAP domain since 1995.

    Jon Reed is an independent SAP analyst who writes on SAP consulting trends. Jon is the president of JonERP.com, an interactive website that features his buy on SAP career trends. Jon is besides the author of The SAP Consultant Handbook, and he serves as the career expert for SearchSAP's "Ask the Expert" panel.


    Where is Java EE headed to? [UPDATE] | killexams.com true questions and Pass4sure dumps

    Discussions about Java EE‘s future persist. After JAXenter launched its interview chain with Java EE Guardians, people started a conversation on Reddit, so they decided to scurry it here and invite everyone to participate. 

    Java Champion Lukas Eder

    We asked Java Champion Lukas Eder to comment on the current state of Java EE, as well as on the rise of Java EE Guardians and MicroProfile.

    JAXenter: Considering the current state of Java EE, carry out you contemplate they requisite an initiative to protect its legacy?

    Lukas Eder: That’s a very brilliant open-ended question. And they can gape at it from different angles (all subjective, of course). First off:

    Do they requisite Java EE in the first place?

    The Java EE “market” is big; a lot of companies (let’s summon them companies) want to build “standard” software and a lot of infrastructure software vendors (let’s summon them vendors) want to gain a piece of the cake by selling “standard” software platforms (and/or services related to the “standard” platforms) to these companies.

    These companies want to maintain as exiguous cognitive friction as viable when going from one project to the next, but it is a poisonous thing to maintain too many choices in terms of technology. They pay the vendors to guarantee this want of friction. Many companies gain a free ride because many vendors offer the platform software for free as Open Source.

    There is no Java EE standard.

    Java EE evangelists used to love to paint a standards-biased picture where the UI framework market (often their favorite example) was shared mostly between Java EE’s JSF and Spring’s MVC. Of course, as the aphorism goes: “The only statistics you can trust are those you falsified yourself”. If you gape at “the market” from a different angle, there’s besides Angular JS which dominates it, probably much more than JSF and MVC combined.

    We’ve had Struts, before that JSP (still the best Java web UI tech if you exact me) and before Java EE (and before J2EE), there were other technologies, and surely, in the future, there will exist other technologies. And that’s just talking about UI frameworks. So, you can remark that even within the “standards” scope there are a lot of choices — which is not surprising, given XKCD 927.

    So, in my opinion, there is no Java EE standard. Java EE is only a recommended set of libraries that are guaranteed by Java EE certification to labor together.

    Therefore, the reply to the question carry out we need Java EE in the first Place is “Yes.” However, this is the case only if said certification is your highest priority as an API consumer. Spring is an alternative to the Java EE “standards” where innovation and original features are added without too much of a formal process by a solitary vendor: Pivotal. They quiet add exactly the same value as Java EE to most customers, though. That value is: “It just works”. The dissimilarity is the following: there’s no certification, but trust in the vendor after many years of excellent delivery. And, there’s no competition in the implementation process because many APIs are proprietary Open Source.

    Spring is an alternative to the Java EE “standards”.

    Of course, if you build decent integration tests yourself, there’s a third alternative to Java EE and Spring. You don’t requisite either. You can pick any capricious set of third party libraries as long as you trust each individual vendor to “do the birthright thing” (which is often the case anyway, no matter if you’re using Java EE or Spring). For instance, if you’re using jOOQ (or Hibernate), you can use that library in a “standalone application”, in a Spring application, or in a Java EE application just the same.

    Now back to the actual question:

    Do they requisite a group love the Java EE Guardians?

    If Java EE was a truly open standard (like HTML, or SQL to some extent), they wouldn’t exist in the situation that we’re in. Oracle would just exist one more stakeholder in a big consortium and it would exist their own altenative whether they withdraw from the consortium or not, without affecting the consortium as a whole.

    Still, because of the pass the JCP is organized, Oracle pretty much dictates what happens in the “standard”. For instance, the TCK for most aspects of Java EE are not open, freely available or even available without the requisite to accept very restrictive terms.

    Should Oracle “secretly” want Java EE’s death, then that’s exactly what’s going to happen.

    Now, Oracle seems to maintain lost interest in Java EE (although they carry out not know that for sure) and frankly they didn’t carry out an excellent PR job explaining their strategy. There is a lot of uncertainty in the industry with respect to the future of Java EE. Given Oracle’s tense grip on the legal aspects of Java EE, there can exist no fork or truly open standard without Oracle’s consent. So, should Oracle “secretly” want Java EE’s death, then that’s exactly what’s going to happen.

    I personally don’t contemplate the Java EE Guardians can carry out a lot in this case. It’s worth trying, sure. The Guardians outright maintain a spacious personal stake given the fact that their professional careers depend on Java EE. But as I explained above, there are non-certified alternatives love Spring, or random third party library collections that carry out the job just the same, so, perhaps, the best pass to retrograde forward is to create a original “Spring” from scratch that is governed by a dependable open standard consortium, free from any legal ties to Java EE, and with or without Oracle. Let’s summon it … “Summer” (Note that the community just published “MicroProfile”, which seems to exist an initiative which does precisely that.)

    JAXenter: How could Java EE exist brought forward? Should Oracle exist convinced that they will gain a better recur from continuing to invest in Java EE? Should the focus remain on the community’s support? 

    Lukas Eder: There was an brilliant discussion on Reddit’s /r/java just recently. /user/thesystemx, who frequently comments on the subject, said:

    At last Devoxx I spoke to several spec leads and people from Oracle, and they told me (off the record) that the direct licensing income alone is enough to flee Java EE, and that excludes the tag on sales for related products.

    And my first thought was…

    The direct licensing income of a solitary Exadata installation is probably enough to flee Java EE as well, so perhaps this is an order of magnitude thing (i.e. a “what’s this boring, irrelevant stuff over there halt wasting my time thing”)

    As you can see, as a community, they can only speculate about what’s going on birthright now. I believe that the business is not brilliant enough for Oracle. Plus, neither is the community because it isn’t Oracle’s. It’s Red Hat’s, Pivotal’s, IBM’s, and everyone else’s community. Oracle inherited a rather difficult legacy from Sun. Jonathan Schwartz (the former Sun CEO) testified in court in the Oracle vs. Google case that Java was “free”. Quoting from the Ars Technica series:

    The strategy was, they agree on these open APIs, then they compete on implementations.

    This is what an open standard does, and it was certainly Sun’s aim to “sell” Java EE as an (almost) open standard. But perhaps, after outright these years. After doing some proper math, it just showed that this particular (almost) open standard provides benefits to competitors much more than to Oracle. Again, as we’re lacking official PR from Oracle, they can only guess. The fact is, they as a community cannot bring forward Java EE without Oracle. Oracle CEO Safra Catz made this very limpid in the Oracle vs. Google lawsuit:

    […] And that Android was an unauthorized fork of Java.

    This means that any unauthorized fork of Java EE will have the same destiny as Android. Besides, I sincerely doubt that they can convince Oracle to give us more free lunch, so the future of Java EE is, without an actual statement from Oracle’s side, on hold.

    Mike Croft —Java Middleware consultant at Payara

    We asked Payara’s Mike Croft to comment on the current state of Java EE, as well as on the rise of Java EE Guardians and MicroProfile.

    JAXenter: Considering the current state of Java EE, carry out you contemplate they requisite an initiative to protect its legacy? 

    Mike Croft: labor on Java EE has slowed, but it hasn’t stopped. The JCP involves more than just Oracle, though they are the biggest players at the moment. The Java EE Guardians’ focus is on getting some action from Oracle; their view is that this is crucial to the success of Java EE. I agree that movement from Oracle is well-known for the future of Java EE, whether that is Oracle working on the JSRs they lead or in relinquishing them to the community. It is well-known to bethink that Java EE isn’t only Oracle, however, and there are a huge number of people and corporations of varying size which maintain a vested interest in its future. The Guardians group is just one endeavor of many and outright efforts are needed in this, just as in any community-led project.

    Java EE isn’t only Oracle, however, and there are a huge number of people and corporations of varying size which maintain a vested interest in its future.

    JAXenter: How could Java EE exist brought forward? 

    Mike Croft: Java EE already has a pass to scurry forward in the version 8 specifications. My personal view is that Oracle can quiet stand to grow their business by investing in Java EE. They maintain not heard any official, public response from Oracle as to their plans, so they can’t exist confident that the want of activity is permanent or only temporary as they keep more resource into the “other projects” that has been preeminent on mailing lists. We, as a community, can’t stand quiet and wait for confirmation, though.

    It’s this want of erudition which has driven Red Hat, Payara, Tomitribe, IBM and the LJC, who each maintain significant interests in Java EE, to publish microprofile.io as a pass to bring about open collaboration. This is not an endeavor designed to exclude Oracle, but to leverage the incredible power of the wider Java community to address the needs of modern Java EE users. The train is to iterate quickly and to collaborate openly on a standard. Standards are incredibly well-known in technology to avoid fragmentation and, from here, the future looks bright.

    Java Champion Lukas Eder

    JAXenter: Mike Croft said that the JCP involves more than just Oracle. What’s your buy on that? 

    Lukas Eder: That’s exactly how it ought to be, but for historic reasons it’s not true, and probably never will be. The JCP *is* Oracle, mostly, from a legal and operative perspective.

    But Payara and the others who joined forces to create this MicroProfile initiative can create their own committee (as I’ve mentioned in my previous responses on JAXenter), which is truly open, governed by a foundation, not a corporation. There will quiet exist politics, of course, but it would certainly assist scurry this forward as the legal hurdles would probably exist much reduced.

    [MicroProfile’s strategy is to] ensnare up with Spring whose Spring Boot totally dominates the microservices hype.

    JAXenter: carry out you contemplate MicroProfile is hoping for a reaction from Oracle?

    Lukas Eder: I contemplate that MicroProfile backers carry out not want to add more FUD to the debate. They thus openly invite Oracle to join. In my opinion, however, the strategy is to scurry forward with innovation and not wait for Oracle, but most importantly: to ensnare up with Spring whose Spring Boot totally dominates the microservices hype. If Oracle does resolve to become portion of MicroProfile, fine. But in my opinion, that would exist rather surprising.

    JAXenter: He besides mentioned that “standards are incredibly well-known in technology to avoid fragmentation”; you said there is no Java EE standard. Why are your viewpoints so different?

    Lukas Eder: Of course he says that. He couldn’t flee Payara and not maintain this view :).

    And I don’t fully disagree with Mike. What I exist well-known by Java EE is not a “standard” is this: There are good, “obvious” standards and less good, less “obvious” ones.

    A profitable standard is a standard that removes fragmentation where fragmentation creates friction, overhead, bureaucracy in the market without adding any value. profitable examples for profitable standards are:

  • Electric voltages
  • Electric outlets (I quiet hope there will eventually exist a world-wide standard, instead of dozens, but at least the EU mostly uses just one)
  • USB
  • Train track widths
  • DIN A4, A5 paper formats
  • JDBC
  • JMS
  • All of these standards simplify business for everyone by destroying the business of those who try to sell deviating, proprietary interfaces. For example, DIN A4 means 297mm x 210mm. Vendors of printers, photocopying machines, document processing software, paper, envelopes, binders, briefcases, etc. etc. can outright advocate “the standard” and consumers don’t maintain to purchase a briefcase for JAXenter publications and a different briefcase for other documents.

    A autochthonous standard is a “standard” that hinders innovation by adding complexity in a very opinionated environment.

    JDBC is an exceptionally profitable standard in software, as it removes the requisite for knowing about vendor-specific APIs and network protocols in order to access mostly RDBMS (although it works besides with other data stores).

    There are some profitable Java EE standards, love JMS, Servlets, JavaMail and others, mostly those that define (again) protocol abstractions, or things that are too boring to exist implemented a second time in a different pass (JAXB, JavaMail).

    A autochthonous standard is a “standard” that hinders innovation by adding complexity in a very opinionated environment, where differing opinions are profitable for the market, as each view can vary greatly in how it adds value to a consumer. There are a lot of business standards love the ISO 9001 for character management or the ISO 29119 software testing standards, which are mostly certifications that companies love to note off to impress customers. They don’t really exist well-known anything concrete as it is much too involved to derive from a simple yes/no flag what this really means in the context of a concrete corporation.

    Java EE “shines” here with autochthonous “standards” love EJB, MVC, JPA, JSF, CDI, Bean Validation, Batch, and much more. outright of these things carry out not belong in a standard because they are:

  • Complex
  • Often a autochthonous default choice
  • Often not the only choice, specifically not the de-facto altenative (e.g. bean validation, batch)
  • Very opinionated in terms of architecture and design, which greatly restricts the solution space for consumers
  • Take JSF, for instance. It’s a server-side UI component API specification. How many component APIs did they already have? AWT, Swing, JavaFX, Gwt, Vaadin, Wicket, JSF, and many others, lesser known ones. In this case, JSF is “just another” component API (specification). Of course, it’s one of the most Popular ones today, but that’s only the case because it profits from the Java EE “brand”.

    JPA is a different story. It solves dozens of problems, which is a very autochthonous thing for a “standard” API. It solves:

  • Mapping (that’s the best part)
  • Querying (in several different, conflicting ways: mapping, utility finder methods, JPQL, criteria API, fetch graphs, autochthonous queries, query annotations, etc. etc., no one of them are satisfactory, given that SQL is incredibly more powerful)
  • Native SQL (in my opinion, the stored procedure advocate shows the desperation in this API to hold up with true world needs by shoe horning a feature into an API that was not designed for the mere existence of stored procedures)
  • Transactions (Why? There’s already JTA…)
  • Locking
  • Caching
  • It’s a heterogeneous monster that should exist split in 10 different APIs. Don’t gain me wrong. It’s fine for an *implementation* love Hibernate to offer outright these features out of the box. But the specification shouldn’t carry out that. It’s simply not a profitable standard.

    To reply your question: As I mentioned already in my previous answers, the industry likes having guarantees that inevitable things labor together. It’s profitable to know that JDBC works and that jOOQ or Hibernate labor on top of JDBC and that no one of these APIs will crack in the future. JDBC is a standard. jOOQ and Hibernate aren’t. They’re involved tools that profit from the standard. They drive innovation. They add things, deprecate things, remove things. They should not exist standards. Otherwise, their involved innovation will stop.

    I’m hoping that the MicroProfile initiative will buy a fresh gape at “standardization” in Java and prevent the “standard feature creep” that has happened in J2EE and later on in Java EE from happening. stamp Little’s comment on the topic looks precisely love it.

    Java Rock Star Adam Bien

    JAXenter: Considering the current situation of Java EE, did they requisite an initiative love MicroProfile? Should Oracle buy portion in this initiative?

    Adam Bien: Sure! Oracle is highly welcome.

    JAXenter: carry out you contemplate MicroProfile will maintain any impact on Java EE Guardians? 

    Adam Bien: Java EE Guardians is just another group of passionate Java EE fan girls and fan boys. I’m confident they esteem it. At least they retweeted everything what was microprofile.io-related.

    I will exact the Java EE Guardians about their view next time I gain the chance.

    JAXenter: Mike Croft said that the JCP involves more than just Oracle while Lukas Eder opined that the JCP is Oracle. What is your opinion?

    Adam Bien: I asked the question myself. I asked Heather VanCura What is the relation between JCP and Oracle? The reply can exist organize here.

    Oracle has a permanent seat on the JCP Executive Committee (EC), and together with the other EC members, the EC votes on the labor of the Expert Groups and evolves the JCP itself. The EC is led by a non-voting Chair from the PMO; the PMO is the group within Oracle that is answerable for administering the JCP and chairing the EC. The EC does not micro-manage the day-to-day workings of Expert Groups – the EC has the opportunity to review the labor of each Expert Group at well-defined points as their specifications proceed through the JCP program. The primary duty of the EC is to ensure that specifications carry out not overlap or fight with one another and that the specifications meet the needs of the industry segment for which they are being written.

    Heather VanCura

    On the spec-level it is even clearer. Some specs JSR-365, CDI 2.0, Dependency Injection for Java, JSR 330 were / are led by other companies entirely without Oracle.

    More to come. 

    If you’d love to buy portion in their debate, drop us an email at editor@jaxenter.com.


    Building a MapReduce Application with Hadoop | killexams.com true questions and Pass4sure dumps

    As the amount of captured data increases over the years, so carry out their storage needs. Companies are realizing that “data is king,” but how carry out they dissect it? Through Hadoop. In the second article in this series, Java programming expert Steven Haines explains what a MapReduce application is and how to build a simple one.

    Like this article? They recommend 

    The first article in this chain described the domain of business problems that Hadoop was designed to solve, and the internal architecture of Hadoop that allows it to decipher these problems. Applications that flee in Hadoop are called MapReduce applications, so this article demonstrates how to build a simple MapReduce application.

    Setting Up a progress Environment

    Before you can use Hadoop, you’re going to requisite to maintain Java 6 (or later) installed, which can exist downloaded for your platform from Oracle’s website. Additionally, if you are running on Windows, the official progress and deployment platform upon which Hadoop runs is Linux, so you’re going to requisite to flee Hadoop using Cygwin. Mac OSX users should maintain no problem running Hadoop natively.

    Hadoop can exist downloaded from its Releases page, but its numbering structure can exist a exiguous challenging to interpret. In short, the 1.x arm of code contains the current stable release, the 2.x.x arm contains the alpha code for version 2 of Hadoop, the 0.22.x arm of code is the 2.x.x code, but without security, and the 0.23.x arm of code excludes high availability. The 0.20.x branches of code are legacy and you should ignore them. For the examples in this article, I will exist using the 0.23.x code branch, the latest of which is 0.23.5 as of this writing, but for production deployments, you would probably want to download version 1.x or 2.x.x.

    Download and decompress this file on your local machine. If you’re planning on doing quite a bit of Hadoop development, it might exist in your best interest to add the decompressed bin folder to your environment PATH. You can test your installation by executing the hadoop command from the bin folder:

    bin/hadoop

    Executing this command without any arguments reveals the following output:

    Usage: hadoop [--config confdir] COMMAND where COMMAND is one of: fs flee a generic filesystem user client version print the version jar <jar> flee a jar file distcp <srcurl> <desturl> copy file or directories recursively archive -archiveName appellation -p <parent path> <src>* <dest> create a hadoop archive classpath prints the class path needed to gain the Hadoop jar and the required libraries daemonlog get/set the log smooth for each daemon or CLASSNAME flee the class named CLASSNAME Most commands print assist when invoked w/o parameters.

    There are numerous commands that can exist passed to Hadoop, but in this article we’ll exist focusing on executing Hadoop applications in a progress environment, so the only one we’ll exist interested in is the following:

    hadoop jar <jar-file-name> Hello, MapReduce

    The first program that you write in any programming language is typically a “Hello, World” application. In terms of Hadoop and MapReduce, the standard application that everyone writes is the Word count application. The Word count application counts the number of times each word in a big amount of text occurs. For example, the word “a” might display 2,000, times whereas the word “hypothetical” might display three times. It is a consummate case to learn about MapReduce because the mapping step and reducing step are trivial, but insert you to thinking in MapReduce. The following is a summary of the components in the Word count application and their function:

  •   FileInputFormat: They define a FileInputFormat to read outright of the files in a specified directory (passed as the first dispute to the MapReduce application) and pass those to a TextInputFormat (see Listing 1) for distribution to their mappers.
  •   TextInputFormat: The default InputFormat for Hadoop is the TextInputFormat, which reads one line at a time and returns the key as the byte offset as the key (LongWritable) and the line of text as the value (Text).
  •   Word count Mapper: This is a class that they write which tokenizes the solitary line of text passed to it by the InputFormat into words and then emits the word itself with a count of “1” to note that they saw this word.
  •   Combiner: While they don’t requisite a combiner in a progress environment, the combiner is an implementation of the reducer (described later in this article) that runs on the local node before passing the key/value pair to the reducer. Using combiners can dramatically ameliorate performance, but you requisite to design confident that combining your results does not crack your reducer: In order for the reducer to exist used as a combiner, its operation must exist associative, otherwise the maps sent to the reducer will not result in the rectify result.
  •   Word count Reducer: The word count reducer receives a map of every word and a list of outright the counts for the number of times that the word was observed by the mappers. Without a combiner, the reducer would receive a word and a collection of “1”s, but because they are going to use the reducer as a combiner, they will maintain a collection of numbers that will requisite to exist added together.
  •   TextOutputFormat: In this example, they use the TextOutputFormat class and inform it that the keys will exist Text and the values will exist IntWritable.
  •   FileOutputFormat: The TextOutputFormat sends its formatted output to a FileOutputFormat, which writes results to a self-created “output” directory.
  • You might exist wondering why we’re calling Strings “Text” and numbers “IntWritable” and “LongWritable”. The intuition is that in order for values to exist passed across the Hadoop Distributed File System (HDFS) in a distributed fashion, there are specific rules that define serialization. Fortunately, Hadoop provides wrappers for common types, but if you requisite to develop your own, then it provides a Writable interface that you can implement it to carry out so.

    Listing 1 shows the source code for their first MapReduce application.

    Listing 1 WordCount.java package com.geekcap.hadoopexamples; import org.apache.hadoop.conf.Configured; import org.apache.hadoop.util.Tool; import org.apache.hadoop.util.ToolRunner; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.Text; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapred.Mapper; import org.apache.hadoop.mapred.Reducer; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapred.MapReduceBase; import org.apache.hadoop.mapred.OutputCollector; import org.apache.hadoop.mapred.Reporter; import org.apache.hadoop.mapred.KeyValueTextInputFormat; import org.apache.hadoop.mapred.TextOutputFormat; import org.apache.hadoop.mapred.JobClient; import org.apache.hadoop.mapred.FileInputFormat; import org.apache.hadoop.mapred.FileOutputFormat; import java.io.IOException; import java.util.Iterator; import java.util.StringTokenizer; /** * Created by IntelliJ IDEA. * User: shaines * Date: 12/9/12 * Time: 9:25 PM * To change this template use File | Settings | File Templates. */ public class WordCount extends Configured implements utensil { public static class MapClass extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> { private Text word = original Text(); private final static IntWritable one = original IntWritable( 1 ); public void map( LongWritable key, // Offset into the file Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException { // gain the value as a String String text = value.toString().toLowerCase(); // replace outright non-characters text = text.replaceAll( "'", "" ); text = text.replaceAll( "[^a-zA-Z]", " " ); // Iterate over outright of the words in the string StringTokenizer st = original StringTokenizer( text ); while( st.hasMoreTokens() ) { // gain the next token and set it as the text for their "word" variable word.set( st.nextToken() ); // Output this word as the key and 1 as the value output.collect( word, one ); } } } public static class Reduce extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable> { public void reduce( Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException { // Iterate over outright of the values (counts of occurrences of this word) int count = 0; while( values.hasNext() ) { // Add the value to their count count += values.next().get(); } // Output the word with its count (wrapped in an IntWritable) output.collect( key, original IntWritable( count ) ); } } public int run(String[] args) throws Exception { // Create a configuration Configuration conf = getConf(); // Create a job from the default configuration that will use the WordCount class JobConf job = original JobConf( conf, WordCount.class ); // Define their input path as the first command line dispute and their output path as the second Path in = original Path( args[0] ); Path out = original Path( args[1] ); // Create File Input/Output formats for these paths (in the job) FileInputFormat.setInputPaths( job, in ); FileOutputFormat.setOutputPath( job, out ); // Configure the job: name, mapper, reducer, and combiner job.setJobName( "WordCount" ); job.setMapperClass( MapClass.class ); job.setReducerClass( Reduce.class ); job.setCombinerClass( Reduce.class ); // Configure the output job.setOutputFormat( TextOutputFormat.class ); job.setOutputKeyClass( Text.class ); job.setOutputValueClass( IntWritable.class ); // flee the job JobClient.runJob(job); recur 0; } public static void main(String[] args) throws Exception { // Start the WordCount MapReduce application int res = ToolRunner.run( original Configuration(), original WordCount(), args ); System.exit( res ); } } Code Analysis

    Execution starts as the WordCount’s main() fashion is executed, which uses the ToolRunner class to flee the job. The ToolRunner creates the WordCount class and executes its run() method.

    The run() fashion configures the job by defining input and output paths and then creating FileInputFormat and FileOutputFormat objects that reference those paths. Setting the input and output formats is a exiguous different from the repose of the configuration because they create their instances and pass them the reference to the job. The other configuration is accomplished by invoking one of the job’s setter methods.

    The job is then configured with a mapper class, a reducer class, and a combiner class. Note that they pass the class itself and not an instance of the class so that Hadoop can create as many of them as it needs to across its distributed environment.

    The true labor takes Place in the MapClass and the Reduce class. The MapClass receives the following information:

  • key: The byte offset into the file.
  • value: The text of a solitary line of the file.
  • output: The OutputCollector is the mechanism through which they output the key/value pair that they want to pass to the reducer.
  • reporter: Used to report progress in processing the job back to the Hadoop server. It is not used in this example
  • The MapClass extracts the value to a String by calling the value’s toString() fashion and then does a few conversions: It converts the String to lowercase so that they can match words love “Apple” with “apple”, it deletes solitary quotes, and it replaces outright non-characters with spaces. It then tokenizes the String using white space, and then iterates over outright of the tokens in the String. For each token that it finds, it sets the word variable’s text to the token and then emits the word as the key and a static IntWrapper for the number 1 as the value. They could maintain created a original Text word each time, but because of the number of times this is going to run, it improves performance to maintain the word as a member variable and not re-create it each time.

    The Reduce class’ reduce() fashion receives the same set of parameters that the map() fashion receives, only its key is the word and, instead of receiving a solitary value, it receives an Iterator to a list of values. In this example, it would receive something love the word “apple” and an Iterator to a collection with values 1, 1, 1, 1. But because they want to besides exist able to use this Reduce class as a combiner, they don’t just count the number of entries, but instead of extract the value by calling the IntWritable’s get() fashion and adding it to their sum. In the end, the reduce() fashion returns the same key it received (the word) and the sum of the number of occurrences.

    You might exist wondering what the spacious deal is. This is a simple program, right? And you are right, it is a simple program, and that is the polish with MapReduce: You will find yourself spending more time deriving your solution that actually coding.

    Listing 2 shows a Maven POM file for pile this source code.

    Listing 2 pom.xml <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.geekcap</groupId> <artifactId>hadoop-examples</artifactId> <version>1.0-SNAPSHOT</version> <packaging>jar</packaging> <name>hadoop-examples</name> <url>http://maven.apache.org</url> <properties> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <dependencies> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-core</artifactId> <version>0.20.205.0</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>3.8.1</version> <scope>test</scope> </dependency> </dependencies> </project>

    The POM file is very simple and only includes a reference to the hadoop-core dependency. You can build with the following command:

    mvn spotless install

    To keep this outright together, they requisite a significant text file for which to count words. A considerable source of big text files is the Project Gutenberg, which includes more than 100,000 free ebooks. For my example, I chose Moby Dick. Download one of the text files and keep it in a directory on your arduous drive (and it should exist the only file in that directory on your arduous drive). Once you maintain it, then you can execute your MapReduce project by executing the hadoop command, passing it the path to the directory that contains your book, and a destination directory. For example:

    hadoop jar hadoop-examples-1.0-SNAPSHOT.jar com.geekcap.hadoopexamples.WordCount ~/apps/hadoop-0.23.5/test-data output

    When I execute this I remark the following output:

    2012-12-11 22:27:08.929 java[37044:1203] Unable to load realm info from SCDynamicStore 2012-12-11 22:27:09.023 java[37044:1203] Unable to load realm info from SCDynamicStore 12/12/11 22:27:09 caution conf.Configuration: session.id is deprecated. Instead, use dfs.metrics.session-id 12/12/11 22:27:09 INFO jvm.JvmMetrics: Initializing JVM Metrics with processName=JobTracker, sessionId= 12/12/11 22:27:09 INFO jvm.JvmMetrics: Cannot initialize JVM Metrics with processName=JobTracker, sessionId= - already initialized 12/12/11 22:27:09 caution util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 12/12/11 22:27:09 caution snappy.LoadSnappy: Snappy autochthonous library not loaded 12/12/11 22:27:09 INFO mapred.FileInputFormat: Total input paths to process : 1 12/12/11 22:27:10 INFO mapreduce.JobSubmitter: number of splits:1 12/12/11 22:27:10 caution conf.Configuration: mapred.jar is deprecated. Instead, use mapreduce.job.jar 12/12/11 22:27:10 caution conf.Configuration: mapred.output.value.class is deprecated. Instead, use mapreduce.job.output.value.class 12/12/11 22:27:10 caution conf.Configuration: mapred.job.name is deprecated. Instead, use mapreduce.job.name 12/12/11 22:27:10 caution conf.Configuration: mapred.input.dir is deprecated. Instead, use mapreduce.input.fileinputformat.inputdir 12/12/11 22:27:10 caution conf.Configuration: mapred.output.dir is deprecated. Instead, use mapreduce.output.fileoutputformat.outputdir 12/12/11 22:27:10 caution conf.Configuration: mapred.map.tasks is deprecated. Instead, use mapreduce.job.maps 12/12/11 22:27:10 caution conf.Configuration: mapred.output.key.class is deprecated. Instead, use mapreduce.job.output.key.class 12/12/11 22:27:10 caution conf.Configuration: mapred.working.dir is deprecated. Instead, use mapreduce.job.working.dir 12/12/11 22:27:10 INFO mapreduce.JobSubmitter: Submitting tokens for job: job_local_0001 12/12/11 22:27:10 INFO mapreduce.Job: The url to track the job: http://localhost:8080/ 12/12/11 22:27:10 INFO mapred.LocalJobRunner: OutputCommitter set in config null 12/12/11 22:27:10 INFO mapreduce.Job: Running job: job_local_0001 12/12/11 22:27:10 INFO mapred.LocalJobRunner: OutputCommitter is org.apache.hadoop.mapred.FileOutputCommitter 12/12/11 22:27:10 INFO mapred.LocalJobRunner: Waiting for map tasks 12/12/11 22:27:10 INFO mapred.LocalJobRunner: Starting task: attempt_local_0001_m_000000_0 12/12/11 22:27:10 INFO mapred.Task: Using ResourceCalculatorPlugin : null 12/12/11 22:27:10 INFO mapred.MapTask: numReduceTasks: 1 12/12/11 22:27:10 INFO mapred.MapTask: (EQUATOR) 0 kvi 26214396(104857584) 12/12/11 22:27:10 INFO mapred.MapTask: mapreduce.task.io.sort.mb: 100 12/12/11 22:27:10 INFO mapred.MapTask: soft circumscribe at 83886080 12/12/11 22:27:10 INFO mapred.MapTask: bufstart = 0; bufvoid = 104857600 12/12/11 22:27:10 INFO mapred.MapTask: kvstart = 26214396; length = 6553600 12/12/11 22:27:11 INFO mapred.LocalJobRunner: 12/12/11 22:27:11 INFO mapred.MapTask: Starting flush of map output 12/12/11 22:27:11 INFO mapred.MapTask: Spilling map output 12/12/11 22:27:11 INFO mapred.MapTask: bufstart = 0; bufend = 2027118; bufvoid = 104857600 12/12/11 22:27:11 INFO mapred.MapTask: kvstart = 26214396(104857584); kvend = 25353164(101412656); length = 861233/6553600 12/12/11 22:27:11 INFO mapreduce.Job: Job job_local_0001 running in uber mode : false 12/12/11 22:27:11 INFO mapreduce.Job: map 0% reduce 0% 12/12/11 22:27:12 INFO mapred.MapTask: Finished spill 0 12/12/11 22:27:12 INFO mapred.Task: Task:attempt_local_0001_m_000000_0 is done. And is in the process of committing 12/12/11 22:27:12 INFO mapred.LocalJobRunner: file:/Users/shaines/apps/hadoop-0.23.5/test-data/mobydick.txt:0+1212132 12/12/11 22:27:12 INFO mapred.Task: chore 'attempt_local_0001_m_000000_0' done. 12/12/11 22:27:12 INFO mapred.LocalJobRunner: Finishing task: attempt_local_0001_m_000000_0 12/12/11 22:27:12 INFO mapred.LocalJobRunner: Map chore executor complete. 12/12/11 22:27:12 INFO mapred.Task: Using ResourceCalculatorPlugin : null 12/12/11 22:27:12 INFO mapred.Merger: Merging 1 sorted segments 12/12/11 22:27:12 INFO mapred.Merger: Down to the last merge-pass, with 1 segments left of total size: 247166 bytes 12/12/11 22:27:12 INFO mapred.LocalJobRunner: 12/12/11 22:27:12 INFO mapreduce.Job: map 100% reduce 0% 12/12/11 22:27:12 INFO mapred.Task: Task:attempt_local_0001_r_000000_0 is done. And is in the process of committing 12/12/11 22:27:12 INFO mapred.LocalJobRunner: 12/12/11 22:27:12 INFO mapred.Task: chore attempt_local_0001_r_000000_0 is allowed to relegate now 12/12/11 22:27:12 INFO output.FileOutputCommitter: Saved output of chore 'attempt_local_0001_r_000000_0' to file:/Users/shaines/Documents/Workspace/hadoop-examples/target/output/_temporary/0/task_local_0001_r_000000 12/12/11 22:27:12 INFO mapred.LocalJobRunner: reduce > reduce 12/12/11 22:27:12 INFO mapred.Task: chore 'attempt_local_0001_r_000000_0' done. 12/12/11 22:27:13 INFO mapreduce.Job: map 100% reduce 100% 12/12/11 22:27:13 INFO mapreduce.Job: Job job_local_0001 completed successfully 12/12/11 22:27:13 INFO mapreduce.Job: Counters: 24 File System Counters FILE: Number of bytes read=2683488 FILE: Number of bytes written=974132 FILE: Number of read operations=0 FILE: Number of big read operations=0 FILE: Number of write operations=0 Map-Reduce Framework Map input records=21573 Map output records=215309 Map output bytes=2027118 Map output materialized bytes=247174 Input split bytes=113 Combine input records=215309 Combine output records=17107 Reduce input groups=17107 Reduce shuffle bytes=0 Reduce input records=17107 Reduce output records=17107 Spilled Records=34214 Shuffled Maps =0 Failed Shuffles=0 Merged Map outputs=0 GC time elapsed (ms)=32 Total committed pile usage (bytes)=264110080 File Input Format Counters Bytes Read=1212132 File Output Format Counters Bytes Written=182624

    And because I told it output to an “output” directory, my output directory has a file named part-00000. Here is a petite snippet of its contents:

    a 4687 aback 2 abaft 2 abandon 3 abandoned 7 abandonedly 1 abandonment 2 ... your 251 youre 6 youve 1 zephyr 1 zeuglodon 1 zones 3 zoology 2 zoroaster 1

    The output contains the word that it organize and the number of occurrences of that word. The word “a” occurred 4687 times in Moby Dick, whereas the word “your” only occurred 251 times.

    Summary

    This article demonstrated how to create a simple MapReduce application from start to finish. It delved into the depths of MapReduce to relate how mappers and reducers are built and then how Hadoop is configured to execute the mapper, reducer, and combiner. The well-known thing to realize about Hadoop and MapReduce in generic is that you’ll requisite to spend more time thinking about how to decipher your problem than you will coding. The trick is to contemplate about the type of key that you requisite and how to properly construct your value. It takes time and practice, but it is a powerful utensil at your disposal.

    Don't miss the final article in this series, Applied spacious Data Analysis in the true World with MapReduce and Hadoop, to exist posted next week. This article will walk you through setting up and managing a Hadoop production environment.

    If you are looking for a profitable bespeak to assist you contemplate in MapReduce, O’Reilly’s MapReduce Design Patterns is a considerable choice. I read through several books to assist me gain Hadoop set up and configured, but MapReduce Design Patterns was the first bespeak that I organize that helped me really understand how to approach MapReduce problems. I highly recommend it!



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