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000-611 DB2 10.1 DBA for Linux UNIX and Windows

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000-611 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

Test Code : 000-611
Test title : DB2 10.1 DBA for Linux UNIX and Windows
Vendor title : IBM
: 118 true Questions

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IBM IBM DB2 10.1 DBA

The most effectual Database-as-a-provider options of 2018 | killexams.com true Questions and Pass4sure dumps

what's Database-as-a-provider (DBaaS)?

after they argue databases being consumed as cloud capabilities, we're speaking about database-as-a-service (DBaaS). whereas this is never a silver bullet that'll simplify the lives of anyone who requires a database for some assignment or app construction project, DBaaS isn't simplest with ease it breathe very bendy. It has most of the merits and downsides typical to different functions in the cloud, equivalent to improved permeate controls on the one hand however more confined features than the on-premises election having said that. youngsters, it furthermore doubles as engine-trend software that powers a mountainous array of other utility-as-a-provider (SaaS) apps, every thing from without delay-linked statistics visualization materiel to corporation-spanning enterprise useful resource planning (ERP) structures. but DBaaS is additionally an own unto itself with professionals and cons unique to database functionalities.

benefits of DBaaS consist of reduce entry obstacles, better entry to technologies that were previously handiest in attain for giant corporations, and digitally autochthonous expend situations reminiscent of cyber web of issues (IoT) statistics streaming, computing device researching (ML) working towards, and hybrid applications such as an adjunct to computing on the part.

negative aspects of DBaaS embrace the generic rigidity of databases, the complexity of data science, inflexibilities in integrations, network performance issues, and the complexity that comes with significant statistics transfers. if you're moving fine facts between your DBaaS issuer and some other web site, you are going to furthermore requisite to grasp safety precautions, which could involve the rest from potent id administration protocols to implementing a digital deepest network (VPN). moreover, there are numerous kinds of DBaaS providers from those that execute nothing else to huge-scale cloud provider or web internet hosting suppliers for whom a database is just one service out of many. deciding upon the optimal company from among such a list ability sifting via an extended listing of variables, including cost, geographic proximity, support, and even the closing taks the database is intended to operate. any of those boundaries can lead to the actual requisite for assistance from a database administrator (DBA) regardless of the claims of many DBaaS companies that their platforms are self-provider and user-friendly.

The final analysis is that data science isn't convenient, notwithstanding the database spin-up and configuration is computerized because it is to 1 degree or a different in DBaaS choices. but there are DBaaS products and functions which are less complicated to compose expend of than others, and some are certainly well inside the powers of regular builders and enterprise analysts.

I conducted the experiences during this roundup from the standpoint of developers and analysts, and to a lesser diploma, small to midsize companies (SMBs) with few internal IT substances. The goal of this challenge was not to identify superiority from a strictly technical perspective, however to determine how neatly a regular person is likely to breathe capable of expend the service, devoid of the abet of a DBA, whereas still retaining the know-how's replete benefit. If the studies maintain been finished in line with technical features alone, then the supplier rankings may were distinctive.

What 'convenient to use' basically ability in a DBaaS

As with some other SaaS providing, DBaaS is really software on someone else's servers. it truly is proper even in the regrettably named "serverless" fashions. The "effortless to compose expend of" consideration here applies to greater than simply whether or now not the consumer interface is consumer-friendly, but additionally to birthright here:

  • whether guidance is offered on which database category or engine suits the data or workload,
  • How effortless it is to load and transfer records,
  • How a much deal of the server provisioning and service configuration is handled by means of ML and automation, and,
  • How plenty of the backup and recuperation system is automated.
  • If the consumer should compose a protracted checklist of choices with no throe to configure the database, then it's no longer in fact handy to compose expend of for non-DBAs no signify what number of pull-down menus and rationalization packing containers the UI has. however, it can breathe effortless for DBAs to compose expend of and that's the understanding first-class, too, however for other purposes and a different type of review. In other words, for a DBaaS to breathe a strong self-provider platform, it must dispose of the requisite for a DBA to breathe palms-on with every itsy-bitsy user interaction.

    however, whether it is to breathe an alternative or hybrid add-on to an on-premises database and even a company's primary database (as is frequently the case with cloud-native companies), then being convenient for DBAs to expend and video panoply should still breathe the basic concerns. for example, if your enterprise has been working an illustration of Microsoft's SQL Server on-premises for some years, and now opts to add an illustration of Microsoft's Azure SQL Database as a cloud-primarily based backup repository, then most of your end-users will not ever should touch that instance. in the equal vein, if the database's fundamental project should breathe to energy an additional app or workflow, then, once more, users may not frequently deserve to maintain interaction with it at once. in any case, once a database is up and operating, users can employ tools similar to company intelligence (BI), developer, and DevOps apps to execute the work they may breathe really drawn to. The database remains within the historical past for each one of these eventualities, and even superior users other than the DBA will hardly ever should touch it.

    That pointed out, ease of expend in this evaluate roundup includes the whole spectrum of capabilities provided. The provider lets developers, analysts, and the occasional SMB regularly occurring tech person spin up databases on the fly, with few guidelines and itsy-bitsy extra handy than a credit card and a web-connected laptop.

    via these parameters, Microsoft Azure SQL Database is the easiest to use, with MongoDB Atlas coming in an in depth 2nd. determining which of these two Editors' option winners you requisite to expend can maintain extra to execute together with your statistics's latest structure and the tasks you are working on than ease of use. IBM Db2 on Cloud is additionally handy to compose expend of, although there are a lot of developers who may crave to differ. lots of the griping centers on design restrictions for builders.

    companies don't seem to breathe equal in terms of the number of regions provided. Fewer alternate options could betray a drawback in some compliance eventualities with the eu Union's prevalent statistics insurance way regulation (GDPR). They additionally scope in helping compliance with other rules, with some nevertheless working on these concerns and others birthright now coming on board. One case in factor: As of June 2018, MongoDB Atlas is now compliant with the medical health insurance Portability and Accountability Act (HIPAA).

    trying out types and the import of regions

    The evaluation of each product contains notations on whether trial or free versions can breathe create and any boundaries that may additionally observe. as an example, MongoDB Atlas has a "free continually" edition with 512 MB of storage and shared random access remembrance (RAM). IBM Db2 on Cloud has a free developer version with traffic features, however express-C, its free traffic version, lacks advanced enterprise facets. Paid versions vary less as they're most regularly pegged to storage and computing expend in status of to points. youngsters, or not it's crucial to celebrate which aspects and areas can breathe create within the a lot of models before you select one.

    definitely, if it would not maintain advanced commercial enterprise elements similar to IBM Db2 on Cloud's categorical-C edition and you requisite those, then that version is never going to determine. Likewise, in case you maintain issues with GDPR to address, or loads of users world wide and you really requisite to eradicate lag in your app, then Microsoft Azure SQL Database's extraordinary 50 regions world wide in 140 nations goes to signify number as plenty as having more edition options does.

    As to your alternatives with reference to areas, MongoDB Atlas has 56. It makes respectable expend of the areas from Amazon net functions (AWS), Google Cloud, and Microsoft Azure considering it breathe hosted on any three. And, counterintuitively, Google BigQuery got here in with the least number of regions.

    Being able to choose the location status on your database is faultfinding for two explanations. First, on account of rules such as GDPR, you requisite to breathe unavoidable about the status your data resides (even in the cloud), the status it strikes, and how it is used. Being capable of opt for the revise location to your database is quintessential to staying GDPR-compliant, besides the fact that you don't maintain any European Union (eu) client records or ecu worker statistics. a number of scenarios celebrate here.

    as an example, an worker may breathe American and as a consequence his records is unaffected through GDPR. His spouse may breathe European or American but their newborn can furthermore maintain dual citizenship if she or he was born in Europe. So, insurance information on them is suffering from GDPR. therefore, even if the traffic has no eu customer or ecu employee records, it still finds itself desiring to breathe GDPR-compliant. That legislation is severely complicated. and there is another, even more complicated privacy legislation from the ecu coming down the pike. it breathe prudent, therefore, to understand precisely the status your records is and what's happening with and to it, whether or now not you feel you would not maintain any eu individual statistics to breathe troubled about.

    The nearer your statistics and app are to at least one another, the greater the performance—which means, the shorter the lag and other issues. you will want to notice for alternatives to deploy your app within the identical data focus as your database or colocate your database subsequent to your app.

    types furthermore scope considerably between providers and additionally within a single dealer's product lineup. Some are least expensive on the entrance conclusion but rack up fees through charging you for a variety of materiel and service improvements, similar to additional protection or backup and recuperation features. breathe careful for that.

    For this overview roundup, I generally used mid-tier-priced test money owed that maintain been installation through the carriers in status of the more restrained trial or free-tier types. from time to time I transferred my very own notice at various facts and sometimes I loaded seller test statistics or labored with their preloaded statistics sets. in many situations, companies offered credits to breathe sure I may fully notice at various their systems. occasionally, I verified free developer editions, as I did with SAP Cloud Platform, SAP HANA provider because these are always full-featured ones. In each case, the version I proven is referred to in every assessment writeup.

    SQL or NoSQL?

    yet another factor making direct comparisons greater tricky in this assessment roundup is in the sorts of databases. As any records gurus know, SQL handles structured records and NoSQL is for unstructured statistics, though that mountainous divergence likely is never obtrusive to time-honored clients. An illustration of structured facts is a spreadsheet whereas an example of unstructured information is the Twitter feed firehose. SQL databases are continually referred to as relational databases whereas NoSQL databases are known as nonrelational ones.

    besides the fact that children, when it involves DBaaS, the alternatives are greater assorted than simply making a structured versus unstructured statistics determination. as an example, MongoDB Atlas, which is open-source NoSQL, runs on different branded cloud features similar to AWS, Google, and Microsoft clouds. Some providers will e-book you during the maze of options for the understanding that their branded DBaaS capabilities present other product alternatives for different database varieties.

    as an instance, IBM Db2 on Cloud is SQL, but it will funnel clients at the outset to Cloudant, an IBM NoSQL DBaaS product, or to open-supply databases, equivalent to MongoDB on IBM, as the uploaded facts dictates. it really is incredibly constructive to these with few facts science capabilities or restricted realizing.

    In each and every review, I word even if the DBaaS product is SQL or NoSQL and even if other database alternatives are available within the product lineup. With most features, you'll deserve to comprehend from the outset what class of database you need. With a valuable few, equivalent to IBM Db2 on Cloud, the onboarding procedure will ebook you to the arrogate database.

    right here's a quick rule of thumb: if you're working with desktop-readable facts, then you definately want SQL. believe spreadsheets and IoT data. If it breathe human thoughts or expressions, then you definately requisite NoSQL. mediate social media, video facts, and audio facts. breathe forewarned that once in a while the app will push you a technique, constantly widespread of SQL. however from time to time conclusion dreams will push you a different method: NoSQL scales greater, quicker.

    ultimately, grasp into account that ML assists are greater than flogging the statistics for your personal. ML lead is illustrious within the reports as well.

  • execs: function-prosperous. convenient to compose expend of. a large variety of regions for more GDPR-compliance options. No app breakage in transfers. laptop discovering-primarily based auto-tuning ability. Can expend older SQL functions courting back to 2005.

    Cons: revise for structured information only since the database is SQL. wonderful for advanced queries but unsuitable for messy, human conversation statistics.

    bottom line: Microsoft Azure SQL Database is a brilliant Database-as-a-service (DBaaS) solution for developers, enterprise analysts, and database directors given its ease of expend and exemplary controls.

    examine evaluation
  • pros: effortless to use. Open source with effectual scaling, sharding, serverless, and computer discovering capabilities.

    Cons: or not it's NoSQL, which is often unsuitable for complicated queries. Some purposes require SQL databases to function, which eliminates NoSQL databases from consideration.

    final analysis: MongoDB Atlas is a developer's dream database, with a brilliantly fundamental consumer interface, extra automation than most Database-as-a-carrier (DBaaS) options, a whole bunch flexibility and controls, constructed-in replication, and zero lock-in.

    read review
  • execs: safe and robust. offers clients with a whole lot of controls. Very safety mindful.

    Cons: complicated to installation and circulate records. Requires assist from a database administrator and a network skilled for setup. costly.

    base line: Amazon Relational Database provider is never a amateur-pleasant Database-as-a-service (DBaaS) solution, however with the birthright authorities helping you out, or not it's a fine relational database carrier.

    examine review
  • professionals: staggering for massive records initiatives. bendy statistics ingestion. quickly analysis. Integrates neatly with nearly any classification of information.

    Cons: constructed for large records so it breathe overkill for small records sets. complicated SQL dialects. Unwieldy prices without revise consideration to device expend and automated scaling. Flat expense pricing works improved.

    base line: Google BigQuery is a pretty safe Database-as-a-provider (DBaaS) own for cloud autochthonous groups and any one working with desktop getting to know software progress or dealing with huge sets.

    examine assessment
  • execs: enormously handy records migration and setup. smartly designed.

    Cons: Fewer status options, which might furthermore maintain an effect on your performance and compliance necessities depending on what you're doing with the database.

    bottom line: IBM Db2 on Cloud is a dream Database-as-a-service (DBaaS) solution for builders and company analysts as a result of they can expend it with out the suggestions of a database administrator, even with minimal talents.

    examine assessment
  • pros: first-rate for HANA users and mountainous facts developers. sure, that capacity web of issues, laptop discovering, and Java, too.

    Cons: Having two diverse developer environments is perplexing and probably restrictive.

    base line: SAP Cloud Platform, SAP HANA service needs to mature, nevertheless it's nevertheless a powerful and pleasing Database-as-a-carrier (DBaaS) own with many crucial capabilities.

    read evaluate

  • IBM DB2 Will goal Oracle Database developers | killexams.com true Questions and Pass4sure dumps

    information

    IBM DB2 Will goal Oracle Database builders
  • by using Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a unusual version of its flagship DB2 database with application for you to give compatibility with purposes developed for Oracle databases.

    Embedded in IBM's imminent DB2 9.7, code-named "Cobra" and slated for free up in June, is software that gives compatibility with EnterpriseDB Corp.'s Postgres Plus advanced Server database, which supports any Oracle data kinds, SQL syntax, semantics and other purposes developed with Oracle PL/SQL kept strategies. Postgres advanced Server is built on the open source PostgreSQL database.

    "The set of applied sciences we've delivered will support developers of custom applications and packaged purposes install to DB2," pointed out Bernie Spang, director of method, analytics and records administration for IBM's utility group.

    For IBM, or not it's the primary time the enterprise has licensed expertise from a provider of open supply database application, notwithstanding EnterpriseDB founder Andy Astor pointed out the application embedded in DB2 is in line with proprietary code.

    "here is not an open source play," Astor noted. "everything else they execute is open supply but that is without doubt one of the techniques they compose their funds, by selling that compatibility expertise each to providers dote IBM, in this case, and to users within the variety of Postgres Plus advanced Server."

    EnterpriseDB facets to a number of consumers including FTD and Sony on-line amusement which maintain migrated functions developed for Oracle databases to Postgres Plus. The contend with IBM "offers them with proven performance for enabling compatibility between DB2 and functions written for Oracle," said 451 community analyst Matthew Aslett in an electronic mail.

    "Database migrations are complex, time-ingesting, expensive and rare, so any performance that makes the process easier goes to breathe welcomed by means of those agencies which are organized to compose the leap," he introduced.

    The licensing pact is the first by EnterpriseDB, but Astor said others are being negotiated.

    IBM is hoping the circulation will motivate greater consumers emigrate to its InfoSphere Warehouse 9.7 commercial enterprise edition, a data-cleaning and enterprise analytics platform in accordance with DB2 and technology IBM bought from Cognos.

    the brand unusual liberate is focused at bringing facts mining, analytics and cubing to departments of enterprises and smaller corporations, Spang said. additionally unusual in DB2 is abet for performing simultaneous transactions throughout XML and relational data.

    concerning the creator

    Jeffrey Schwartz is govt editor, features, for Redmond Developer information. you can contact him at jschwartz@reddevnews.com.


    IBM offers Away DB2 | killexams.com true Questions and Pass4sure dumps

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    000-611 DB2 10.1 DBA for Linux UNIX and Windows

    Study lead Prepared by Killexams.com IBM Dumps Experts


    Killexams.com 000-611 Dumps and true Questions

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    000-611 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

    Test Code : 000-611
    Test title : DB2 10.1 DBA for Linux UNIX and Windows
    Vendor title : IBM
    : 118 true Questions

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    Enhanced Progress® DataDirect Connect® and DataDirect Connect XE for JDBC boast Performance Gains and Cloud Connection | killexams.com true questions and Pass4sure dumps

    BEDFORD, Mass.--(BUSINESS WIRE)--Progress Software Corporation (NASDAQ: PRGS), a global software company that simplifies and enables the progress and deployment of traffic applications, today announced the release of DataDirect Connect® for JDBC 5.1 and DataDirect Connect® XE for JDBC 5.1. Both offerings enable fast, secure, and highly scalable connectivity for a broad spectrum of data sources, which now embrace cloud databases such as Microsoft SQL Azure™, IBM DB2 10.1, IBM DB2 pureScale 9.8, and Microsoft SQL Server 2012. This type of connectivity exemplifies Progress Software’s goal to abet companies better access their data whether on premise, or in the cloud.

    In today’s fast-paced world, organizations are looking for better ways to enhance customer experiences and analyze available data for more focused revenue opportunities. Crucial to that success is highly efficient and performant data connectivity across a wide variety of data sources, both on-premise and in the cloud. The improved DataDirect® JDBC drivers handle communications and remembrance usage in a novel way – resulting in significant increases in both performance and efficiency. remembrance and CPU usage is reduced overall while throughput levels are raised, which translates into reduced operating costs.

    In addition to these advances in high-performance SQL access using JDBC, the unusual releases of the DataDirect Connect drivers embrace the following features:

  • Cloud database connectivity, with high-performance support for the Microsoft SQL Azure database, enabling efficient SQL access to Microsoft’s relational database service in the cloud.
  • Expanded database coverage, with advanced support and certification:
  • IBM DB2 10.1 for Linux, UNIX, and Windows, including SQL enhancements and support for Time Travel Queries
  • IBM DB2 pureScale 9.8
  • Microsoft SQL Server 2012, including SQL enhancements and protocol upgrade.
  • Expanded autochthonous database security for Oracle Advanced Security (OAS), including support for ten additional encryption algorithms.
  • Progress Software is the software industry’s leading comprehensive provider of software for connecting the world’s most faultfinding traffic applications to data and services, running on any platform, using proven and emerging standards. Developers worldwide depend on DataDirect products to connect their applications to an unparalleled scope of data sources using standards-based interfaces such as ODBC, JDBC and ADO.NET, XQuery and SOAP. More than 300 leading independent software vendors and thousands of enterprises rely on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building tall performing applications is an knack form, and many developers and traffic managers don’t realize the significant impact the JDBC driver has on the performance of the application. This release provides performance gains in raw speed and throughput coupled with continued reduction of remembrance and CPU usage per unit of work,” said Michael Benedict, vice president and traffic line manager, Progress DataDirect. “It furthermore further widens the performance odds that their drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions notice greater performance, scalability, and reliability—all with increased enterprise security.”

    About Progress Software Corporation

    Progress Software Corporation (NASDAQ: PRGS) simplifies the development, deployment and management of traffic applications on-premise or on any Cloud, on any platform and on any device with minimal IT complexity and low total cost of ownership. Progress Software can breathe reached at www.progress.com or 1-781-280-4000.

    Follow Progress Software on Twitter: @ProgressSW

    Follow Progress DataDirect on Twitter: @DataDirect_News

    Progress and DataDirect are trademarks or registered trademarks of Progress Software Corporation or one of its subsidiaries or affiliates in the U.S. and other countries. Any other names contained herein may breathe trademarks of their respective owners.


    Seven Surprising Findings About DB2 | killexams.com true questions and Pass4sure dumps

    I’ve just completed IBM DB2 for Linux, Unix and Windows (LUW) coverage here on expend The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve create compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).

    Free & Easy

    Well, let’s physiognomy it: it’s IBM software. It has a pretty long history. You would probably not await that it is easy to install and configure, but in fact: it is. At least DB2 LUW Express-C 10.5 (LUW is for Linux, Unix and Windows, Express-C is the free community edition). That might breathe another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.

    No easy Explain

    The first problem I stumbled upon is that DB2 has no easy way to panoply an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with elaborate way for

    This stores the execution way in a set of tables in the database (you’ll requisite to create these tables first). This is pretty much dote in Oracle.

  • Display a stored elaborate way using db2exfmt

    This is a command line tool, not something you can Fall from an SQL prompt. To sprint this tool you’ll requisite shell access to a DB2 installation (e.g. on the server). That means, that you cannot expend this tool over an regular database connection.

  • There is another command line tool (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you come by an ASCII art:

    Access Plan: ----------- Total Cost: 60528.3 Query Degree: 1 Rows RETURN ( 1) Cost I/O | 49534.9 ^HSJOIN ( 2) 60528.3 68095 /-----+------\ 49534.9 10000 TBSCAN TBSCAN ( 3) ( 4) 59833.6 687.72 67325 770 | | 1.00933e+06 10000 TABLE: DB2INST1 TABLE: DB2INST1 SALES EMPLOYEES Q2 Q1

    Please note that this is just an excerpt—the replete output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you requisite any the time (the operations) is presented in a pretty unreadable way (IMHO). I’m particularly thankful that any the numbers you notice above are not labeled—that’s really the icing that renders this “tool” totally useless for the occasional user.

    However, according to the IBM documentation there is another way to panoply an execution plan: “Write your own queries against the elaborate tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s title suggest: it shows the execution way of the ultimate statement that was explained (in a non-useless formatting):

    Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | revert | | 60528 2 | HSJOIN | 49535 of 10000 | 60528 3 | TBSCAN SALES | 49535 of 1009326 ( 4.91%) | 59833 4 | TBSCAN EMPLOYEES | 10000 of 10000 (100.00%) | 687 Predicate Information 2 - join (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) join (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain way by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty sure many DB2 users will swear that this presentation of the execution way is confusing. And that’s OK. If you are used to the way IBM presents execution plans, just stick to what you are used to. However, I’m working with any kinds of databases and they any maintain a way to panoply the execution way similar to the one shown above—for me this format is much more useful. Further, I’ve made a useful selection of data to display: the row signify estimates and the predicate information.

    You can come by the source of the last_explained view from here or from GitHub (direct download). I’m serious about the no warranty part. Yet I’d dote to know about problems you maintain with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing any table rows. They are useful in three cases:

  • To preserve space when the index is only useful for a very small fraction of the rows. Example: queue tables.

  • To establish a specific row order in presence of constant non-equality predicates. Example: WHERE x IN (1, 5, 9) ORDER BY y. An index dote the following can breathe used to avoid a sort operation:

    CREATE INDEX … ON … (y) WHERE x IN (1, 5, 9)
  • To implement unique constraints on a subset of rows (e.g. only those WHERE active = 'Y').

  • However, DB2 doesn’t support a where clause for indexes dote shown above. But DB2 has many Oracle-compatibility features, one of them is EXCLUDE NULL KEYS: “Specifies that an index entry is not created when any parts of the index key hold the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.

    Generally speaking, emulating partial indexes works by mapping any parts of the key (all indexed columns) to NULL for rows that should not halt up in the index. As an example, let’s emulate this partial index in the Oracle database (DB2 is next):

    CREATE INDEX messages_todo ON messages (receiver) WHERE processed = 'N'

    The solution presented in SQL Performance Explained uses a function to map the processed rows to NULL, otherwise the receiver value is passed through:

    CREATE OR REPLACE FUNCTION pi_processed(processed CHAR, receiver NUMBER) RETURN NUMBER DETERMINISTIC AS BEGIN IF processed IN ('N') THEN revert receiver; ELSE revert NULL; halt IF; END; /

    It’s a deterministic function and can thus breathe used in an Oracle function-based index. This won’t work with DB2, because DB2 doesn’t allow user defined-functions in index definitions. However, let’s first complete the Oracle example.

    CREATE INDEX messages_todo ON messages (pi_processed(processed, receiver));

    This index has only rows WHERE processed IN ('N')—otherwise the function returns NULL which is not do in the index (there is no other column that could breathe non-NULL). Voilà: a partial index in the Oracle database.

    To expend this index, just expend the pi_processed function in the where clause:

    SELECT message FROM messages WHERE pi_processed(processed, receiver) = ?

    This is functionally equivalent to:

    SELECT message FROM messages WHERE processed = 'N' AND receiver = ?

    So far, so ugly. If you proceed for this approach, you’d better requisite the partial index desperately.

    To compose this approach work in DB2 they requisite two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a way to map processed rows to NULL without using a user-defined function so it can breathe used in a DB2 index.

    Although the second one might seem to breathe hard, it is actually very simple: DB2 can execute expression based indexing, just not on user-defined functions. The mapping they requisite can breathe accomplished with regular SQL expressions:

    CASE WHEN processed = 'N' THEN receiver ELSE NULL END

    This implements the very very mapping as the pi_processed function above. bethink that CASE expressions are first class citizens in SQL—they can breathe used in DB2 index definitions (on LUW just since 10.5):

    CREATE INDEX messages_not_processed_pi ON messages (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) EXCLUDE NULL KEYS;

    This index uses the CASE expression to map not to breathe indexed rows to NULL and the EXCLUDE NULL KEYS feature to preclude those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

    To expend the index, just expend the CASE expression in the where clause and check the execution plan:

    SELECT * FROM messages WHERE (CASE WHEN processed = 'N' THEN receiver ELSE NULL END) = ?; Explain Plan ------------------------------------------------------- ID | Operation | Rows | Cost 1 | revert | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a mountainous disappointment: the optimizer didn’t grasp the index. It does a replete table scan instead. What’s wrong?

    If you maintain a very nigh notice at the execution way above, which I created with my last_explained view, you might notice something suspicious.

    Look at the predicate information. What happened to the CASE expression that they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to expend the partial index. That’s what I meant when I said that CASE expressions are first class citizens in SQL: the database has a pretty safe understanding what they execute and can transform them.

    We requisite a way to apply their magic NULL-mapping but they can’t expend functions (can’t breathe indexed) nor can they expend CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty easy to muddle an optimizer. any you requisite to execute is to obfuscate the CASE expression so that the optimizer doesn’t transform it anymore. Adding zero to a numeric column is always my first attempt in such cases:

    CASE WHEN processed = 'N' THEN receiver + 0 ELSE NULL END

    The CASE expression is essentially the same, I’ve just added zero to the RECEIVER column, which is numeric. If I expend this expression in the index and the query, I come by this execution plan:

    ID | Operation | Rows | Cost 1 | revert | | 13071 2 | FETCH MESSAGES | 40000 of 40000 | 13071 3 | RIDSCN | 40000 of 40000 | 1665 4 | SORT (UNQIUE) | 40000 of 40000 | 1665 5 | IXSCAN MESSAGES_NOT_PROCESSED_PI | 40000 of 999999 | 1646 Predicate Information 2 - SARG ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL halt = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL halt = ?) STOP ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL halt = ?)

    The partial index is used as intended. The CASE expression appears unchanged in the predicate information section.

    I haven’t checked any other ways to emulate partial indexes in DB2 (e.g., using partitions dote in more recent Oracle versions).

    As always: just because you can execute something doesn’t breathe substantive you should. This approach is so ugly—even more repulsive than the Oracle workaround—that you must desperately requisite a partial index to justify this maintenance nightmare. Further it will stop working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just requisite do an even more repulsive obfuscation in there.

    INCLUDE Clause Only for Unique Indexes

    With the embrace clause you can add extra columns to an index for the sole purpose to allow in index-only scan when these columns are selected. I knew the embrace clause before because SQL Server offers it too, but there are some differences:

  • In SQL Server embrace columns are only added to the leaf nodes of the index—not in the root and branch nodes. This limits the impact on the B-tree’s depth when adding many or long columns to an index. This furthermore allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t seem to breathe the case in DB2.

  • In DB2 the embrace clause is only valid for unique indexes. It allows you to enforce the uniqueness of the key columns only—the embrace columns are just not considered when checking for uniqueness. This is the very in SQL Server except that SQL Server supports embrace columns on non-unique indexes too (to leverage the above-mentioned benefits).

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS ultimate modifiers to the order by clause allow you to specify whether NULL values are considered as larger or smaller than non-NULL values during sorting. Strictly speaking, you must always specify the desired order when sorting nullable columns because the SQL standard doesn’t specify a default. As you can notice in the following chart, the default order of NULL is indeed different across various databases:

    Figure A.1. Database/Feature Matrix

    In this chart, you can furthermore notice that DB2 doesn’t support NULLS FIRST or NULLS LAST—neither in the order by clause no in the index definition. However, note that this is a simplified statement. In fact, DB2 accepts NULLS FIRST and NULLS ultimate when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. very is valid for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at any and yield a syntax error.

    SQL:2008 FETCH FIRST but not OFFSET

    DB2 supports the fetch first … rows only clause for a while now—kind-of impressive considering it was “just” added with the SQL:2008 standard. However, DB2 doesn’t support the offset clause, which was introduced with the very very release of the SQL standard. Although it might notice dote an arbitrary omission, it is in fact a very wise hobble that I deeply respect. offset is the root of so much evil. In the next section, I’ll elaborate how to live without offset.

    Side node: If you maintain code using offset that you cannot change, you can still activate the MySQL compatibility vector that makes limit and offset available in DB2. laughable enough, combining fetch first with offset is then still not workable (that would breathe standard compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to contour a single logical value. IN-lists are a common use-case:

    WHERE (col_a, col_b) IN (SELECT col_a, col_b FROM…)

    This is supported by pretty much every database. However, there is a second, hardly known use-case that has pretty needy support in today’s SQL databases: key-set pagination or offset-less pagination. Keyset pagination uses a where clause that basically says “I’ve seen everything up till here, just give me the next rows”. In the simplest case it looks dote this:

    SELECT … FROM … WHERE time_stamp < ? ORDER BY time_stamp DESC FETCH FIRST 10 ROWS ONLY

    Imagine you’ve already fetched a bunch of rows and requisite to come by the next few ones. For that you’d expend the time_stamp value of the ultimate entry you’ve got for the bind value (?). The query then just revert the rows from there on. But what if there are two rows with the very very time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the status till where you maintain the result. This is where row-value predicates gain in:

    SELECT … FROM … WHERE (time_stamp, id) < (?, ?) ORDER BY time_stamp DESC, id DESC FETCH FIRST 10 ROWS ONLY

    The order by clause is extended to compose sure there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t breathe any simpler to express this selection criteria. Unfortunately, neither the Oracle database nor SQLite or SQL Server understand this syntax—even though it’s in the SQL standard since 1992! However, it is workable to apply the very logic without row-value predicates—but that’s rather inconvenient and easy to come by wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates safe enough to compose proper expend of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the birthright result, it does not expend an index for that and is thus rather slow. In the end, DB2 LUW (since 10.1) and PostgreSQL (since 8.4) are the only two databases that support row-value predicates in the way it should be.

    The fact that DB2 LUW has everything you requisite for convenient keyset pagination is furthermore the understanding why there is absolutely no understanding to complain about the missing offset functionality. In fact I mediate that offset should not maintain been added to the SQL standard and I’m pleased to notice a vendor that resisted the urge to add it because its became allotment of the standard. Sometimes the standard is wrong—just sometimes, not very often ;) I can’t change the standard—all I can execute is teaching how to execute it birthright and start campaigns dote #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you dote my way of explaining things, you’ll fancy my engage “SQL Performance Explained”.


    Department of Energy Invests $28 Million to further Cybersecurity of the Nation’s faultfinding Energy Infrastructure | killexams.com true questions and Pass4sure dumps

    Funding to Support the Creation of More Resilient Energy Delivery Systems

    WASHINGTON, D.C. –  Today, the U.S. Department of Energy (DOE) is announcing awards of up to $28 million to support the research, development, and demonstration (RD&D) of next-generation tools and technologies to ameliorate the cybersecurity and resilience of the Nation's faultfinding energy infrastructure, including the electric grid and oil and natural gas infrastructure. With funding provided by the Office of Cybersecurity, Energy Security, and Emergency Response’s (CESER) Cybersecurity for Energy Delivery Systems (CEDS) Division, research partnerships will create and compose available innovative technologies that abet prevent, detect, and mitigate cyber attacks. The teams will pursue innovative approaches such as redesigning the current architecture that exposes the energy grid to cyber threats so that existing and future energy delivery systems can detect adversarial actions and adapt to survive while continuing to support faultfinding functions.

    “Protecting the Nation’s energy delivery systems from cyber-threats is a top national priority,” said U.S. Secretary of Energy Rick Perry. “These awards will spur the next level of innovation needed to further cyber resilience, ensuring that the Nation’s faultfinding energy infrastructure can withstand potential cyber attacks while furthermore still keeping the lights on.”

    Each awarded project has a transparent path to develop technology that will meet the energy sector’s stringent operational requirements of energy delivery systems that reduce cyber risks. These awarded projects further the strategy articulated in the DOE Multiyear way for Energy Sector Cybersecurity to reduce cyber risks by pursuing high-priority activities that are coordinated with other DOE offices, across Federal agencies, and with energy owners and operators as well as key energy stakeholders in the private sector. A minute list of the eleven projects is available HERE. Final award amounts are subject to negotiation.

    To date, the CEDS program has developed and transitioned 35 technologies to the energy sector by partnering with industry, cybersecurity vendors, academia, and National Laboratories as highlighted in the report CEDS R&D: From Innovation to practice – Redesigning Energy Delivery Systems to Survive Cyber Attacks. Today’s investment continues DOE's long history of working closely with public and private partners to further the shared vision of resilient energy delivery systems that are designed, installed, operated and maintained to survive a cyber incident while sustaining faultfinding functions.

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    Wonderlic [2 Certification Exam(s) ]
    Worldatwork [2 Certification Exam(s) ]
    XML-Master [3 Certification Exam(s) ]
    Zend [6 Certification Exam(s) ]





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