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

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

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IBM IBM DB2 10.1 DBA

large facts: fitness Checking Your system | killexams.com real Questions and Pass4sure dumps

As huge information solutions develop in dimension and complexity, considerations can upward thrust about future performance. Will the existing software scale up and out? Are there odds considerations with information consistency? Can your big data utility co-exist on the identical hardware with usual construction processing, or is it destined to subsist implemented in either a stand-on my own configuration or within the cloud? one way to check the expertise consequences of these concerns is to measure your massive statistics utility’s fitness.

in the beginning

Early big statistics solutions own been offered as stand-by myself, turnkey methods that required no efficiency tuning and promised “loopy speedy” query execution instances. dinky or no befriend from database directors (DBAs) or techniques programmers become required.

For a number of years and for most IT shops, this held true. however, the variety of analyzable records kinds grew (feel XML, video, click-streams) and the time latitude of enterprise queries expanded from existing month to fresh months to year-over-yr. complete information volumes in some agencies grew beyond the one hundred terabyte range, whereas at the identical time queries that at first were executed best as soon as morphed into commonplace reports.  efficiency started to degrade. Tuning became a necessity.

large information on Db2

IBM’s flagship entry into the big statistics arena is the IBM Db2 Analytics Accelerator (IDAA). This changed into at the dawn introduced as a hybrid hardware/software solution with a proprietary statistics shop and particularly parallelized I/O processing. The Db2 Optimizer become more suitable to trust tables saved in the IDAA as alternatives for question statistics access paths. as an example, the DBA may additionally settle to shop a client table in both indigenous Db2 and the IDAA. Any question that accesses the client desk is analyzed through the Db2 Optimizer, which then decides which of the desk occurrences will deliver the most excellent query performance. hence, real-time queries that require a single row from the client table will procure their facts from the desk in Db2, while analytic queries may subsist directed to the desk in IDAA.

Later versions of IDAA allowed the DBA a brace of viable the way to own an effect on question execution, together with records clustering and data partitioning options. The DBA grew to become more and more concerned in configuring the IDAA, and due to this fact vital to own in understanding current and doubtlessly future statistics entry alternatives with the aid of consumer queries. subsequently, the DBA changed into now ready to procure to the bottom of efficiency and fitness issues.

The newest ameliorate to IDAA makes it viable for it to Run natively on z14 hardware using a rational partition (LPAR) referred to as the z relaxed carrier Container. Embedding such specialized storage and processing directly into the mainframe configuration means that the hardware and accompanying operating techniques utility can system both on-line transactions and company analytics queries on the identical time, now and again known as hybrid transactional and analytic processing (HTAP).

The fitness of Your massive statistics gadget

nowadays, the DBA is intimately concerned with configuration and tuning of the massive records software, partly because carriers answered to their issues by using upgrading options to consist of options equivalent to information clustering and records partitioning. still, performance tuning is just one point of the fitness of a system.

application or gadget fitness is a merge of the consumer event and useful resource utilization. whereas there are different objects which are vital to utility health in celebrated (comparable to facts availability and consistency and a variety of integrity rules), these are hardly ever an issue in a big statistics environment because the facts loaded there originates from operational techniques.

We concentrate on these two aspects as a result of they may subsist affected essentially the most as massive information configuration alternatives extend, records volumes multiply and the needs of the enterprise analysts trade over time.

consumer experience

often talking, the big information user differs from users of alternative systems (including the facts warehouse) in a brace of approaches. company analysts customarily spend a really worthy software interface that shows big records entities and relationships in one or extra visual formats, permitting the person to element-and-click or drag-and-drop decisions of facts items, selection alternatives, aggregation criteria, evaluation time periods and the like. The utility then constructs the acceptable question or queries, accesses the records and returns the effects, usually in tabular or pictorial kind.

The person’s adventure is tied without retard to their utility kit, and never to the SQL query generated. This makes question performance tuning a dinky bit complicated, as clients aren't always privy to the underlying query syntax. extra, their software may likewise mask from them any attainable performance alternatives corresponding to keys, clustering, indexes or different features. What the consumer notices probably the most is query response time.

To tackle the user event, the DBA can spend a brace of how you can video display the fitness of their big data application.

question Tuning: whereas it could subsist tricky (or not possible) to predict what queries may well subsist generated by traffic analytics software tools, the DBA can still execute spend of historical access patterns. What tables are accessed, and the way frequently? What tables are often joined? Which tables are dimension tables (used for aggregations, subsetting and sorting) and which can subsist reality tables (used for calculations)? What entry paths are commonplace? Is the starjoin access course (ordinary in records warehouse functions) used in any respect?

typically, the DBA will spend a device to capture historical SQL statements and their entry paths. This may likewise subsist achieved in Db2 via the dynamic remark cache and the clarify tool. Then, preserve the consequences in a set of efficiency historical past tables. reiterate on a regular groundwork. you could then question the outcomes to reply the above questions. frequently accessed tables should subsist would becould very well subsist kept each in indigenous Db2 and IDAA. often joined tables should still subsist clustered and partitioned in the identical fashion to prefer erudition of parallelism. standard information item aggregations can likewise subsist pre-computed and saved in tables themselves (occasionally called summary tables or materialized question tables), offering for quicker queries that admixture these objects.

query the performance background tables to check if the equal entry path(s) are used to access the equal tables. If no longer, are any of the entry paths faster, and may objects or queries subsist tweaked to prefer expertise of them?

facts Archival: an additional fashion of addressing perceived slowness of queries is to remove stale or historic statistics or vicinity it in a secondary set of tables. as an example, disagree with a table of consumer transactions over time. preserve essentially the most present statistics in a current consumer Transactions desk, hump the prior three months of information to a fresh consumer Transactions table, and district the oldest in a age customer Transactions desk. by splitting the information this manner, queries appearing upon current or often latest statistics will access fewer tables, and for this understanding store data processing time.

one more components of archival is a type of what's referred to as vertical partitioning. evaluation the columns in a frequently accessed table and nick up them into two classes based mostly upon how commonly they're referenced in queries. district frequently accessed columns in a single version of the desk, sometimes accessed columns in an extra. As with archival, queries that select only often accessed columns will in the reduction of the variety of I/Os integral to retrieve what is needed.

personalized Environments: clients across an enterprise can spend big records for completely different functions. advert hoc clients create modern queries, or more or less modified models of existing ones. Reporting users Run and re-run present queries on a daily basis to deliver stories to administration. facts mart users prefer incurious extracts of huge facts and load them into their personal local databases for intensive evaluation. each class of user accesses huge records in a unique approach, so each has a different experience.

The ad hoc consumer requires essentially the most intensive usher from the DBA. here, it's essential to accumulate and maintain ancient desk usage and entry course statistics. Single query execution pace is essentially the most captious element, and the DBA will undoubtedly subsist tuning objects (via archival, clustering, partitioning, and so forth.) instead of tuning SQL. On some events, there might subsist SQL considerations. here's since the enterprise analytics application may not subsist generating the very best attribute query syntax. Some application carriers own facets that enable your support personnel to execute minor alterations to inevitable categories of SQL statements, or to pellucid clauses. Clauses such as OPTIMIZE FOR n ROWS or FETCH FIRST n ROWS may likewise subsist appended to a brace queries, whereas the software can subsist configured to recognize things such as abstract tables.

The reporting consumer exists in a a lot more static environment. here, the reporting queries accomplished are typically stored in a format that allows for for enhancing. as a consequence, if the DBA is sensible of a far better fashion of coding the query, they could execute the applicable adjustments.

facts mart clients typically extract from the massive information software because the records there has already been extracted, cleaned, converted and loaded from operational systems. whereas this is a convenience for the data mart consumer, it may subsist a faster election to own them extract records at once from operational techniques. The procedures already exist for huge information, and probably additionally to your information warehouse, and they will likewise subsist modified accurately to send data to the information marts as smartly.

useful resource Utilization

resource utilization drives costs in several techniques. applications’ wants for CPU, reminiscence, disk space and network bandwidth power the direct fees of procuring, installing and conserving these supplies. enforcing IDAA as a stand-alone hybrid has the effect of offloading CPU cycles from the mainframe. Extracting information to a remote statistics mart for processing can own an analogous effect.

One common challenge related to disk space is the colossal volume of district provided in huge facts options. space within the hundreds of terabytes are regular. When your big information software receives its first load of data a whole lot of that space remains unused. it is therefore a noteworthy temptation to spend it as storage for other things. Some examples consist of archive tables, database backups, and space for varied environments comparable to building, test and construction.

if you permit things aside from huge facts to subsist saved within the IDAA you necessity to tolerate in understanding the future utilization of the gadget and the ambiance. One such consideration is catastrophe healing. Most age big records purposes will likewise subsist accessed without retard from construction methods for issues equivalent to credit analysis, product purchase concepts or fraud detection. As such, your big information atmosphere could necessity to subsist replicated in some fashion at your catastrophe recovery website, perhaps thereby doubling the quantity of elements you should purchase. Implementation of your massive records in a robust catastrophe healing environment is crucial for the fitness of your universal equipment.

a different problem is utility fees. Some utility is priced primarily based upon CPU utilization. universal examples in the IBM world are the z/OS operating gadget, Db2, and Cobol. during this environment, reducing CPU utilization can subsist an principal challenge. One option is to spend the IDAA as a residence to preserve non-huge facts objects, possibly generally queried tables.

average big statistics fitness Metrics

it's superior to automate the gathering and reporting of inevitable records that measure pellucid points of your huge information ambiance. These are usually data-related and are aimed at ensuring that facts is comprehensive and constant. These consist of prerogative here.

move examine table sizes - if you own tables latest in dissimilar locations (akin to a customer table in each indigenous Db2 and within the IDAA), Do they own the identical number of rows?

business rule integrity - Do information features own values which are suitable per the company rules that define them? as an instance, Do utter customers own a sound cost for customer-identify? These guidelines are constantly found in the extract, seriously change and cargo worthy judgment, however may likewise subsist found in the code for operational techniques.

information consistency - Do utter facts elements own present, legitimate values? accept as apt with querying both big records tables or input load information for non-numeric quantities or dates, inter-element consistency (Retire-Date should still either subsist null or subsist more suitable than employ-Date).

entry course consistency - Is table statistics accessed the spend of the identical Db2 entry course every time, or are there exceptions?

Aggregation consistency - Are there common aggregations (for example revenue summarized through vicinity, or transport prices by using product via date), and can they subsist augmented with the aid of pre-aggregating with abstract tables?

summary

The fitness of your huge statistics application is elegant upon the way you tackle both the user experience and useful resource utilization. together with common query catch, analysis and tuning, the DBA may still design on faculty and techniques of archiving ancient or little-referenced facts to nick back I/Os by way of most queries. Customizing the environment is from time to time viable, most likely via implementing a stand-alone massive information solution, every so often by way of extracting data to far off places for analysis (and consequent discount in local CPU usage). ultimately, metrics exist that can elevate flags indicating that your records is becoming much less constant or usable. accept as apt with utter of the above when supporting your huge information solution.


IBM DB2 Will goal Oracle Database builders | killexams.com real Questions and Pass4sure dumps

information

IBM DB2 Will target Oracle Database developers
  • via Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a modern version of its flagship DB2 database with software which will give compatibility with applications constructed for Oracle databases.

    Embedded in IBM's approaching DB2 9.7, code-named "Cobra" and slated for release in June, is application that gives compatibility with EnterpriseDB Corp.'s Postgres Plus superior Server database, which supports utter Oracle facts kinds, SQL syntax, semantics and different purposes developed with Oracle PL/SQL kept processes. Postgres superior Server is constructed on the open source PostgreSQL database.

    "The set of technologies they own now introduced will support builders of customized functions and packaged applications installation to DB2," said Bernie Spang, director of strategy, analytics and facts administration for IBM's software group.

    For IBM, or not it's the primary time the company has licensed know-how from a company of open supply database application, even though EnterpriseDB founder Andy Astor talked about the software embedded in DB2 is in response to proprietary code.

    "here's not an open source play," Astor said. "every dinky thing else they Do is open supply however that is without doubt one of the techniques they execute their funds, with the aid of promoting that compatibility know-how each to carriers love IBM, in this case, and to clients in the type of Postgres Plus advanced Server."

    EnterpriseDB points to a few purchasers including FTD and Sony on-line amusement which own migrated purposes developed for Oracle databases to Postgres Plus. The contend with IBM "provides them with proven performance for enabling compatibility between DB2 and functions written for Oracle," spoke of 451 group analyst Matthew Aslett in an e-mail.

    "Database migrations are complicated, time-drinking, costly and rare, so any performance that makes the system less complicated is going to subsist welcomed by way of those enterprises that are prepared to execute the soar," he added.

    The licensing pact is the primary by using EnterpriseDB, however Astor stated others are being negotiated.

    IBM is hoping the circulate will inspire more shoppers emigrate to its InfoSphere Warehouse 9.7 traffic version, an information-cleaning and company analytics platform in response to DB2 and technology IBM obtained from Cognos.

    the modern unlock is targeted at bringing facts mining, analytics and cubing to departments of businesses and smaller organizations, Spang spoke of. additionally modern in DB2 is usher for performing simultaneous transactions throughout XML and relational information.

    in regards to the writer

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


    IBM gives Away DB2 | killexams.com real Questions and Pass4sure dumps

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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 denomination : DB2 10.1 DBA for Linux UNIX and Windows
    Vendor denomination : IBM
    : 118 real Questions

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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 evolution 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 befriend 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 anatomize 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 wield 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 modern 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 indigenous 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 captious 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 orbit 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 trust on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building towering performing applications is an craft form, and many developers and traffic managers don’t realize the significant repercussion 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 likewise further widens the performance odds that their drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions note 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 subsist reached at www.progress.com or 1-781-280-4000.

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    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 subsist 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 spend 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 physiognomy it: it’s IBM software. It has a pretty long history. You would probably not await that it is smooth 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 subsist another surprise: there is a free community edition. It’s not open source, but it’s free as in free beer.

    No smooth Explain

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

  • Explain a statement by prefixing it with explicate design for

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

  • Display a stored explicate design using db2exfmt

    This is a command line tool, not something you can Fall from an SQL prompt. To Run this tool you’ll necessity shell access to a DB2 installation (e.g. on the server). That means, that you cannot spend 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 procure 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 complete output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you necessity utter the time (the operations) is presented in a pretty unreadable way (IMHO). I’m particularly thankful that utter the numbers you note 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 explicate tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s denomination suggest: it shows the execution design of the eventual statement that was explained (in a non-useless formatting):

    Explain Plan ------------------------------------------------------------ ID | Operation | Rows | Cost 1 | recrudesce | | 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 - link (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) link (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain design by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty sure many DB2 users will bid that this presentation of the execution design 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 utter kinds of databases and they utter own a way to display the execution design 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 matter estimates and the predicate information.

    You can procure 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 love to know about problems you own with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing utter 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 love the following can subsist 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 dynamic = 'Y').

  • However, DB2 doesn’t support a where clause for indexes love 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 utter parts of the index key accommodate 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 utter parts of the key (all indexed columns) to NULL for rows that should not discontinue 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 role 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 recrudesce receiver; ELSE recrudesce NULL; discontinue IF; END; /

    It’s a deterministic role and can thus subsist 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 role returns NULL which is not effect in the index (there is no other column that could subsist non-NULL). Voilà: a partial index in the Oracle database.

    To spend this index, just spend the pi_processed role 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 recede for this approach, you’d better necessity the partial index desperately.

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

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

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

    This implements the very identical mapping as the pi_processed role above. recall that CASE expressions are first class citizens in SQL—they can subsist 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 subsist 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 spend the index, just spend 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 | recrudesce | | 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 prefer the index. It does a complete table scan instead. What’s wrong?

    If you own a very immediate commemorate at the execution design above, which I created with my last_explained view, you might note 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 spend 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 worthy understanding what they Do and can transform them.

    We necessity a way to apply their magic NULL-mapping but they can’t spend functions (can’t subsist indexed) nor can they spend CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty smooth to confuse an optimizer. utter you necessity 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 spend this expression in the index and the query, I procure this execution plan:

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

    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 love in more recent Oracle versions).

    As always: just because you can Do something doesn’t signify you should. This approach is so ugly—even more gross than the Oracle workaround—that you must desperately necessity 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 necessity effect an even more gross 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 offshoot nodes. This limits the repercussion on the B-tree’s depth when adding many or long columns to an index. This likewise allows to bypass some limitations (number of columns, total index row length, allowed data types). That doesn’t appear to subsist 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 identical 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 eventual 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 note 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 likewise note 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 eventual 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. identical is apt for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at utter 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 identical release of the SQL standard. Although it might commemorate love an whimsical omission, it is in fact a very wise hump that I deeply respect. offset is the root of so much evil. In the next section, I’ll explicate how to live without offset.

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

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to contour a single rational 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 penniless 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 love 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 necessity to procure the next few ones. For that you’d spend the time_stamp value of the eventual entry you’ve got for the bind value (?). The query then just recrudesce the rows from there on. But what if there are two rows with the very identical time_stamp value? Then you necessity a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the residence till where you own 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 execute 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 subsist 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 viable to apply the identical logic without row-value predicates—but that’s rather inconvenient and smooth to procure wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates worthy enough to execute proper spend of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the prerogative result, it does not spend 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 necessity for convenient keyset pagination is likewise the understanding why there is absolutely no understanding to complain about the missing offset functionality. In fact I reflect that offset should not own been added to the SQL standard and I’m gratified to note a vendor that resisted the urge to add it because its became piece 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 prerogative and start campaigns love #NoOffset.

    Figure A.2. Database/Feature Matrix

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


    General Information | killexams.com real questions and Pass4sure dumps

    Quick Menu
  • Location: CIWW 101
  • Time: Thursdays 5:00-6:50 PM
  • Students enrolling in this class should own taken introductory courses in databases and fundamental algorithms. erudition or experience in data warehousing, working erudition of a mainstream database system (e.g., Microsoft SQL Server, IBM DB2, Oracle 11g), and previous programming experience in at least one higher-level procedural or object-oriented language are a plus.
  • Jiawei Han, Micheline Kamber, Data Mining: Concepts and Techniques (Second Edition), Morgan Kaufmann, ISBN-10: 1-55860-901-6, ISBN-13: 978-1-55860-901-3, 2nd Edition (2006)
  • Scott Cameron, Microsoft SQL Server 2008 Analysis Services Step by Step, Microsoft Press, ISBN-10: 0-73562-620-0, ISBN-13: 978-0-73562-620-31 1st Edition (04/15/09)
  • The powerpoint slides presented in class will subsist available for convenient browsing on the Web. The slide sets will likewise subsist available in PDF contour for convenient printing and review.
  • Handouts may likewise subsist distributed in class and will, in some cases, subsist available in electronic contour on the class Web site.
  • There will subsist one required lectures each week. Readings will subsist assigned at the discontinue of each lecture. There will subsist assignments and projects throughout the course. The due date will subsist specified on each given assignment. Homework will subsist generally due prerogative before class on the day the assignments are due. The due dates for the assignments will subsist announced when the assignments are assigned. The submission fashion (i.e. electronic submission, paper submissions, the format, etc.) will subsist specified in each assignment. Late homework will not subsist accepted without the instructor's prior permission (see syllabus for details). Extensions are available only in the case of dire emergencies.

    There is a final exam in this class, which will subsist either in-class or take-home.

    Each student will own access to an I5 account. tickle check with the instructor for information concerning your I5 account.

    A class mailing list has been setup to facilitate communication with the class pertaining to questions, assignments, grades, changes in requirements etc. The class Web page is http://www.nyu.edu/classes/jcf/g22.3033-002/. This page will own further links to pages with announcements, handouts, etc. Students are required to log in and check the page at least once a week to execute sure they are up to date with any information pertaining to the course.

    The Web site is the primary means of getting information outside of class. The mailing list will subsist used for urgent messages, such a updates and hints for the homeworks.

    If you own any questions, issues that you want to discuss, or things that you would love to own clarified, tickle note the instructor as soon as possible.

    The final grade for the course will subsist determined as follows:
  • Assignments 25%
  • Projects 35%
  • Attendance and class participation 10%
  • Final 30%
  • Extra credit will subsist granted periodically for particular ingenious or creative solutions.
  • To receive a passing grade, you must complete satisfactory work in every area. In other words, you must receive passing grades for your homework (cumulatively) and a passing grade on the final.

    If you own any concerns about your grade or about the grading, tickle feel free to note the instructor.

    In order to access the ITS Computer Labs and Clusters, you must own a valid NYU ID card. note how to obtain an NYU ID card if you Do not already own one. You are required to Do the assignments and projects by yourself; collaborating with other students or copying their work will not subsist tolerated. Anyone found copying or using another persons work will subsist dealt with under NYU's procedures for cheating. The consequences orbit from receiving a failing grade for the assignment to expulsion.

    Please consult the department's academic integrity policy for more details.

    However, they Do strongly animate students to dispute the materials covered in class. It is likewise acceptable to befriend or receive befriend from other students concerning features of Windows, Linux, or the UNIX operating system, or any other application that you use. There is a fine line between discussion and cheating. If you feel uncertain about whether you are crossing the line feel free to dispute these issues with the instructor before you Do so.

    We would love the course to Run smoothly and enjoyably. Feel free to let the instructor know what you find worthy and enthralling about the course. Let the instructor know sooner about the reverse. note the instructor, leave him a note, or send him an email. Jean-Claude Franchitti, <jcf (followed by @, then cs, then a dot, then nyu, then a dot, and then edu)> Last modified: Thu. April 29 04:31:18 EDT 2010


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    Dassault [2 Certification Exam(s) ]
    DELL [9 Certification Exam(s) ]
    DMI [1 Certification Exam(s) ]
    DRI [1 Certification Exam(s) ]
    ECCouncil [21 Certification Exam(s) ]
    ECDL [1 Certification Exam(s) ]
    EMC [129 Certification Exam(s) ]
    Enterasys [13 Certification Exam(s) ]
    Ericsson [5 Certification Exam(s) ]
    ESPA [1 Certification Exam(s) ]
    Esri [2 Certification Exam(s) ]
    ExamExpress [15 Certification Exam(s) ]
    Exin [40 Certification Exam(s) ]
    ExtremeNetworks [3 Certification Exam(s) ]
    F5-Networks [20 Certification Exam(s) ]
    FCTC [2 Certification Exam(s) ]
    Filemaker [9 Certification Exam(s) ]
    Financial [36 Certification Exam(s) ]
    Food [4 Certification Exam(s) ]
    Fortinet [12 Certification Exam(s) ]
    Foundry [6 Certification Exam(s) ]
    FSMTB [1 Certification Exam(s) ]
    Fujitsu [2 Certification Exam(s) ]
    GAQM [9 Certification Exam(s) ]
    Genesys [4 Certification Exam(s) ]
    GIAC [15 Certification Exam(s) ]
    Google [4 Certification Exam(s) ]
    GuidanceSoftware [2 Certification Exam(s) ]
    H3C [1 Certification Exam(s) ]
    HDI [9 Certification Exam(s) ]
    Healthcare [3 Certification Exam(s) ]
    HIPAA [2 Certification Exam(s) ]
    Hitachi [30 Certification Exam(s) ]
    Hortonworks [4 Certification Exam(s) ]
    Hospitality [2 Certification Exam(s) ]
    HP [746 Certification Exam(s) ]
    HR [4 Certification Exam(s) ]
    HRCI [1 Certification Exam(s) ]
    Huawei [21 Certification Exam(s) ]
    Hyperion [10 Certification Exam(s) ]
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    IAHCSMM [1 Certification Exam(s) ]
    IBM [1530 Certification Exam(s) ]
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    ICAI [1 Certification Exam(s) ]
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    IEEE [1 Certification Exam(s) ]
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    Intel [2 Certification Exam(s) ]
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    ISC2 [6 Certification Exam(s) ]
    ISEB [24 Certification Exam(s) ]
    Isilon [4 Certification Exam(s) ]
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    iSQI [7 Certification Exam(s) ]
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    Juniper [63 Certification Exam(s) ]
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    Liferay [1 Certification Exam(s) ]
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    Lotus [66 Certification Exam(s) ]
    LPI [24 Certification Exam(s) ]
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    Magento [3 Certification Exam(s) ]
    Maintenance [2 Certification Exam(s) ]
    McAfee [8 Certification Exam(s) ]
    McData [3 Certification Exam(s) ]
    Medical [69 Certification Exam(s) ]
    Microsoft [368 Certification Exam(s) ]
    Mile2 [2 Certification Exam(s) ]
    Military [1 Certification Exam(s) ]
    Misc [1 Certification Exam(s) ]
    Motorola [7 Certification Exam(s) ]
    mySQL [4 Certification Exam(s) ]
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    NCEES [2 Certification Exam(s) ]
    NCIDQ [1 Certification Exam(s) ]
    NCLEX [2 Certification Exam(s) ]
    Network-General [12 Certification Exam(s) ]
    NetworkAppliance [36 Certification Exam(s) ]
    NI [1 Certification Exam(s) ]
    NIELIT [1 Certification Exam(s) ]
    Nokia [6 Certification Exam(s) ]
    Nortel [130 Certification Exam(s) ]
    Novell [37 Certification Exam(s) ]
    OMG [10 Certification Exam(s) ]
    Oracle [269 Certification Exam(s) ]
    P&C [2 Certification Exam(s) ]
    Palo-Alto [4 Certification Exam(s) ]
    PARCC [1 Certification Exam(s) ]
    PayPal [1 Certification Exam(s) ]
    Pegasystems [11 Certification Exam(s) ]
    PEOPLECERT [4 Certification Exam(s) ]
    PMI [15 Certification Exam(s) ]
    Polycom [2 Certification Exam(s) ]
    PostgreSQL-CE [1 Certification Exam(s) ]
    Prince2 [6 Certification Exam(s) ]
    PRMIA [1 Certification Exam(s) ]
    PsychCorp [1 Certification Exam(s) ]
    PTCB [2 Certification Exam(s) ]
    QAI [1 Certification Exam(s) ]
    QlikView [1 Certification Exam(s) ]
    Quality-Assurance [7 Certification Exam(s) ]
    RACC [1 Certification Exam(s) ]
    Real-Estate [1 Certification Exam(s) ]
    RedHat [8 Certification Exam(s) ]
    RES [5 Certification Exam(s) ]
    Riverbed [8 Certification Exam(s) ]
    RSA [15 Certification Exam(s) ]
    Sair [8 Certification Exam(s) ]
    Salesforce [5 Certification Exam(s) ]
    SANS [1 Certification Exam(s) ]
    SAP [98 Certification Exam(s) ]
    SASInstitute [15 Certification Exam(s) ]
    SAT [1 Certification Exam(s) ]
    SCO [10 Certification Exam(s) ]
    SCP [6 Certification Exam(s) ]
    SDI [3 Certification Exam(s) ]
    See-Beyond [1 Certification Exam(s) ]
    Siemens [1 Certification Exam(s) ]
    Snia [7 Certification Exam(s) ]
    SOA [15 Certification Exam(s) ]
    Social-Work-Board [4 Certification Exam(s) ]
    SpringSource [1 Certification Exam(s) ]
    SUN [63 Certification Exam(s) ]
    SUSE [1 Certification Exam(s) ]
    Sybase [17 Certification Exam(s) ]
    Symantec [134 Certification Exam(s) ]
    Teacher-Certification [4 Certification Exam(s) ]
    The-Open-Group [8 Certification Exam(s) ]
    TIA [3 Certification Exam(s) ]
    Tibco [18 Certification Exam(s) ]
    Trainers [3 Certification Exam(s) ]
    Trend [1 Certification Exam(s) ]
    TruSecure [1 Certification Exam(s) ]
    USMLE [1 Certification Exam(s) ]
    VCE [6 Certification Exam(s) ]
    Veeam [2 Certification Exam(s) ]
    Veritas [33 Certification Exam(s) ]
    Vmware [58 Certification Exam(s) ]
    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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