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000-611 | DB2 10.1 DBA for Linux UNIX and Windows

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000-611 - DB2 10.1 DBA for Linux UNIX and Windows - braindump

Vendor IBM
Exam Number 000-611
Exam Name DB2 10.1 DBA for Linux UNIX and Windows
Questions 118 Q & A
Recent Update November 14, 2018
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000-611 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

Test Code : 000-611
Test Name : DB2 10.1 DBA for Linux UNIX and Windows
Vendor Name : IBM
Q&A : 118 Real Questions

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IBM IBM DB2 10.1 DBA

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

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

after we discuss 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 be very bendy. It has most of the merits and downsides typical to different functions in the cloud, equivalent to improved charge controls on the one hand however more confined features than the on-premises choice having said that. youngsters, it also doubles as engine-trend software that powers a big array of other utility-as-a-provider (SaaS) apps, every thing from without delay-linked statistics visualization equipment to corporation-spanning enterprise useful resource planning (ERP) structures. but DBaaS is additionally an answer 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 native use 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 include 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 delicate facts between your DBaaS issuer and some other web site, you are going to also need to take 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 do 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. All of those boundaries can lead to the actual need 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 make use of than others, and some are certainly well inside the powers of normal 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 be capable of use the service, devoid of the help of a DBA, whereas still retaining the know-how's full benefit. If the studies have 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 make use of" consideration here applies to greater than simply whether or now not the consumer interface is consumer-friendly, but additionally to right 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 great 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 make a protracted checklist of choices with no trouble to configure the database, then it's no longer in fact handy to make use of for non-DBAs no count what number of pull-down menus and rationalization packing containers the UI has. however, it can be effortless for DBAs to make use of and that's the reason first-class, too, however for other purposes and a different type of review. In other words, for a DBaaS to be a strong self-provider platform, it must dispose of the need for a DBA to be palms-on with every little user interaction.

    however, whether it is to be 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 use and video display should still be 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 be to energy an additional app or workflow, then, once more, users may not frequently deserve to have 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 do the work they may be 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 use 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 little 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 need to use can have extra to do 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 make use of, although there are a lot of developers who may beg to differ. lots of the griping centers on design restrictions for builders.

    companies don't seem to be equal in terms of the number of regions provided. Fewer alternate options could show a drawback in some compliance eventualities with the eu Union's prevalent statistics insurance plan regulation (GDPR). They additionally range in helping compliance with other rules, with some nevertheless working on these concerns and others right 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 importance of regions

    The evaluation of each product contains notations on whether trial or free versions can be found 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 memory (RAM). IBM Db2 on Cloud has a free developer version with business features, however express-C, its free business version, lacks advanced enterprise facets. Paid versions vary less as they're most regularly pegged to storage and computing use in place of to points. youngsters, or not it's crucial to observe which aspects and areas can be found within the a lot of models before you select one.

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

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

    Being able to choose the location place on your database is critical for two explanations. First, on account of rules such as GDPR, you need to be certain about the place your data resides (even in the cloud), the place it strikes, and how it is used. Being capable of opt for the correct location to your database is quintessential to staying GDPR-compliant, besides the fact that you don't have any European Union (eu) client records or ecu worker statistics. a number of scenarios observe here.

    as an example, an worker may be American and as a consequence his records is unaffected through GDPR. His spouse may be European or American but their newborn can also have dual citizenship if she or he was born in Europe. So, insurance information on them is suffering from GDPR. therefore, even if the business has no eu customer or ecu employee records, it still finds itself desiring to be GDPR-compliant. That legislation is severely complicated. and there is another, even more complicated privacy legislation from the ecu coming down the pike. it be prudent, therefore, to understand precisely the place your records is and what's happening with and to it, whether or now not you feel you would not have any eu individual statistics to be 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 look for alternatives to deploy your app within the identical data center as your database or colocate your database subsequent to your app.

    types also range 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 equipment and service improvements, similar to additional protection or backup and recuperation features. be careful for that.

    For this overview roundup, I generally used mid-tier-priced test money owed that have been installation through the carriers in place of the more restrained trial or free-tier types. from time to time I transferred my very own look at various facts and sometimes I loaded seller test statistics or labored with their preloaded statistics sets. in many situations, companies offered credits to be sure I may fully look 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 element making direct comparisons greater tricky in this assessment roundup is in the sorts of databases. As all records gurus know, SQL handles structured records and NoSQL is for unstructured statistics, though that big difference 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 reason 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 appropriate 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 be human thoughts or expressions, then you definately need NoSQL. think social media, video facts, and audio facts. Be 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, take into account that ML assists are greater than flogging the statistics for your personal. ML guide is noted within the reports as well.

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

    Cons: correct 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 use and exemplary controls.

    examine evaluation
  • pros: effortless to use. Open source with effective 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: good 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 right 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 be overkill for small records sets. complicated SQL dialects. Unwieldy prices without correct consideration to device use and automated scaling. Flat expense pricing works improved.

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

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

    Cons: Fewer place options, which might also have 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 use it with out the suggestions of a database administrator, even with minimal talents.

    examine assessment
  • pros: first-rate for HANA users and big 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) answer with many crucial capabilities.

    read evaluate

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

    information

    IBM DB2 Will goal Oracle Database builders
  • by using Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a new 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 all 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 we do is open supply but that is without doubt one of the techniques we make our funds, by selling that compatibility expertise each to providers like 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 have 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 be welcomed by means of those agencies which are organized to make 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 new liberate is focused at bringing facts mining, analytics and cubing to departments of enterprises and smaller corporations, Spang said. additionally new in DB2 is help 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 Real Questions and Pass4sure dumps

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

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

    BEDFORD, Mass.--(BUSINESS WIRE)--Progress Software Corporation (NASDAQ: PRGS), a global software company that simplifies and enables the development and deployment of business 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 include 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 help 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 memory usage in a novel way – resulting in significant increases in both performance and efficiency. Memory 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 new releases of the DataDirect Connect drivers include 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 native 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 critical business 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 range 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 high performing applications is an art form, and many developers and business 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 memory and CPU usage per unit of work,” said Michael Benedict, vice president and business line manager, Progress DataDirect. “It also further widens the performance advantage that our drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions see 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 business 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 be 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 be trademarks of their respective owners.


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

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

    Free & Easy

    Well, let’s face it: it’s IBM software. It has a pretty long history. You would probably not expect 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 be 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 display an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with explain plan for

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

  • Display a stored explain plan using db2exfmt

    This is a command line tool, not something you can fall from an SQL prompt. To run this tool you’ll need shell access to a DB2 installation (e.g. on the server). That means, that you cannot use 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 get 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 full output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you need all the time (the operations) is presented in a pretty unreadable way (IMHO). I’m particularly thankful that all the numbers you see 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 display an execution plan: “Write your own queries against the explain tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s name suggest: it shows the execution plan of the last statement that was explained (in a non-useless formatting):

    Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | RETURN | | 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 plan by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty sure many DB2 users will say that this presentation of the execution plan 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 all kinds of databases and they all have a way to display the execution plan 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 count estimates and the predicate information.

    You can get 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 like to know about problems you have with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing all 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 like the following can be 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 like 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 all parts of the index key contain 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 all parts of the key (all indexed columns) to NULL for rows that should not end 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 RETURN receiver; ELSE RETURN NULL; END IF; END; /

    It’s a deterministic function and can thus be 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 put in the index (there is no other column that could be non-NULL). Voilà: a partial index in the Oracle database.

    To use this index, just use 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 go for this approach, you’d better need the partial index desperately.

    To make this approach work in DB2 we need 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 be used in a DB2 index.

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

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

    This implements the very same mapping as the pi_processed function above. Remember that CASE expressions are first class citizens in SQL—they can be 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 be indexed rows to NULL and the EXCLUDE NULL KEYS feature to prevent those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

    To use the index, just use 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 | RETURN | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a big disappointment: the optimizer didn’t take the index. It does a full table scan instead. What’s wrong?

    If you have a very close look at the execution plan above, which I created with my last_explained view, you might see something suspicious.

    Look at the predicate information. What happened to the CASE expression that we 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 use 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 good understanding what they do and can transform them.

    We need a way to apply our magic NULL-mapping but we can’t use functions (can’t be indexed) nor can we use CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty easy to confuse an optimizer. All you need to do 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 use this expression in the index and the query, I get this execution plan:

    ID | Operation | Rows | Cost 1 | RETURN | | 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 END = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL END = ?) STOP ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL END = ?)

    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 like in more recent Oracle versions).

    As always: just because you can do something doesn’t mean you should. This approach is so ugly—even more ugly than the Oracle workaround—that you must desperately need 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 need put an even more ugly obfuscation in there.

    INCLUDE Clause Only for Unique Indexes

    With the INCLUDE 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 INCLUDE clause before because SQL Server offers it too, but there are some differences:

  • In SQL Server INCLUDE 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 also allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t seem to be the case in DB2.

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

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS LAST 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 see 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 also see 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 LAST 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. Same is true for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at all 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 same release of the SQL standard. Although it might look like an arbitrary omission, it is in fact a very wise move that I deeply respect. offset is the root of so much evil. In the next section, I’ll explain how to live without offset.

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

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to form 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 poor 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 like 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 need to get the next few ones. For that you’d use the time_stamp value of the last entry you’ve got for the bind value (?). The query then just return the rows from there on. But what if there are two rows with the very same time_stamp value? Then you need a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the place till where you have the result. This is where row-value predicates come 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 make 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 be 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 possible to apply the same logic without row-value predicates—but that’s rather inconvenient and easy to get wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates good enough to make proper use of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the right result, it does not use 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 need for convenient keyset pagination is also the reason why there is absolutely no reason to complain about the missing offset functionality. In fact I think that offset should not have been added to the SQL standard and I’m happy to see a vendor that resisted the urge to add it because its became part of the standard. Sometimes the standard is wrong—just sometimes, not very often ;) I can’t change the standard—all I can do is teaching how to do it right and start campaigns like #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you like my way of explaining things, you’ll love my book “SQL Performance Explained”.


    Department of Energy Invests $28 Million to Advance Cybersecurity of the Nation’s Critical Energy Infrastructure | killexams.com real 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 improve the cybersecurity and resilience of the Nation's critical 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 make available innovative technologies that help 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 critical 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 advance cyber resilience, ensuring that the Nation’s critical energy infrastructure can withstand potential cyber attacks while also still keeping the lights on.”

    Each awarded project has a clear 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 advance the strategy articulated in the DOE Multiyear Plan 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 detailed 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 advance the shared vision of resilient energy delivery systems that are designed, installed, operated and maintained to survive a cyber incident while sustaining critical functions.

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