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

Test Code : 000-611
Test appellation : DB2 10.1 DBA for Linux UNIX and Windows
Vendor appellation : 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 edge considerations with information consistency? Can your large 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 course to check the expertise consequences of these concerns is to measure your massive statistics utility’s fitness.

in the beginning

Early large statistics solutions possess been offered as stand-by myself, turnkey methods that required no efficiency tuning and promised “loopy speedy” query execution instances. slight or no serve 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 large statistics arena is the IBM Db2 Analytics Accelerator (IDAA). This changed into at the nascence 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 reliance 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 aboriginal 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 lone row from the client table will earn 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 yoke of viable the course to possess an upshot 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 possess in mind current and doubtlessly future statistics entry alternatives with the aid of consumer queries. subsequently, the DBA changed into now ready to earn to the bottom of efficiency and fitness issues.

The newest improve to IDAA makes it workable 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 Popular (comparable to facts availability and consistency and a variety of integrity rules), these are hardly ever an issue in a large 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 increase and the needs of the enterprise analysts trade over time.

consumer experience

often talking, the titanic information user differs from users of alternative systems (including the facts warehouse) in a yoke of approaches. company analysts customarily exhaust a really advantageous software interface that shows titanic 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 slight bit complicated, as clients aren't always privy to the underlying query syntax. extra, their software may likewise cover 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 exhaust a yoke of how you can video display the fitness of their titanic data application.

question Tuning: whereas it could subsist tricky (or not possible) to prognosticate what queries may well subsist generated by commerce analytics software tools, the DBA can noiseless acquire exhaust of historical access patterns. What tables are accessed, and the course 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 exhaust 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, support 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 aboriginal Db2 and IDAA. often joined tables should noiseless subsist clustered and partitioned in the identical system to bewitch lore of parallelism. yardstick information detail aggregations can likewise subsist pre-computed and saved in tables themselves (occasionally called summary tables or materialized question tables), offering for quicker queries that composite 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 bewitch expertise of them?

facts Archival: an additional system 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, agree with a table of consumer transactions over time. preserve essentially the most present statistics in a current consumer Transactions desk, trot the prior three months of information to a fresh consumer Transactions table, and zone the oldest in a primitive customer Transactions desk. by splitting the information this manner, queries appearing upon current or often latest statistics will access fewer tables, and for this intuition store data processing time.

one more components of archival is a type of what's referred to as plumb partitioning. evaluation the columns in a frequently accessed table and Cut up them into two classes based mostly upon how commonly they're referenced in queries. zone frequently accessed columns in a lone 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 exhaust titanic records for completely different functions. advert hoc clients create current queries, or rather 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 bewitch unbiased 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 steer from the DBA. here, it's essential to accumulate and maintain ancient desk usage and entry course statistics. lone query execution pace is essentially the most critical 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 trait query syntax. Some application carriers possess facets that enable your support personnel to acquire minor alterations to inescapable categories of SQL statements, or to several clauses. Clauses such as OPTIMIZE FOR n ROWS or FETCH FIRST n ROWS may likewise subsist appended to a yoke 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 vigilant of a far better system of coding the query, they could acquire 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 choice to possess 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 upshot of offloading CPU cycles from the mainframe. Extracting information to a remote statistics mart for processing can possess an analogous effect.

One common challenge related to disk space is the colossal volume of zone provided in huge facts options. space within the hundreds of terabytes are regular. When your large information software receives its first load of data a all lot of that space remains unused. it is therefore a considerable temptation to exhaust 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 requisite to tolerate in mind the future utilization of the gadget and the ambiance. One such consideration is disaster healing. Most develope titanic 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 large information atmosphere could requisite to subsist replicated in some system at your disaster recovery website, perhaps thereby doubling the quantity of elements you should purchase. Implementation of your massive records in a robust disaster 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 essential challenge. One option is to exhaust the IDAA as a state to support non-huge facts objects, possibly generally queried tables.

average large statistics fitness Metrics

it's superior to automate the gathering and reporting of inescapable records that measure several 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 birthright here.

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

business rule integrity - achieve information features possess values which are suitable per the company rules that define them? as an instance, achieve bar no fraction customers possess a sound cost for customer-identify? These guidelines are constantly establish in the extract, seriously change and cargo advantageous judgment, however may likewise subsist establish in the code for operational techniques.

information consistency - achieve bar no fraction facts elements possess present, legitimate values? accept as True with querying both titanic records tables or input load information for non-numeric quantities or dates, inter-element consistency (Retire-Date should noiseless either subsist null or subsist more suitable than employ-Date).

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

Aggregation consistency - Are there common aggregations (for instance 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 course you tackle both the user suffer and useful resource utilization. together with common query catch, analysis and tuning, the DBA may noiseless blueprint on competence and techniques of archiving ancient or little-referenced facts to Cut back I/Os by course 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 course 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 True with bar no fraction 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 current 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 bar no fraction 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 possess 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 slight thing else they achieve is open supply however that is without doubt one of the techniques they acquire their funds, with the aid of promoting that compatibility know-how each to carriers like 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 possess 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 course of those enterprises that are prepared to acquire 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 commerce version, an information-cleaning and company analytics platform in response to DB2 and technology IBM obtained from Cognos.

    the current unlock is targeted at bringing facts mining, analytics and cubing to departments of businesses and smaller organizations, Spang spoke of. additionally current in DB2 is steer 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 exam Dumps Source : DB2 10.1 DBA for Linux UNIX and Windows

    Test Code : 000-611
    Test appellation : DB2 10.1 DBA for Linux UNIX and Windows
    Vendor appellation : 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 progress and deployment of commerce 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 serve 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 exploit communications and recollection usage in a novel course – resulting in significant increases in both performance and efficiency. recollection 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 current 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 aboriginal 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 commerce 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 reckon on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building elevated performing applications is an technique form, and many developers and commerce 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 recollection and CPU usage per unit of work,” said Michael Benedict, vice president and commerce line manager, Progress DataDirect. “It likewise further widens the performance edge 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 commerce 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.

    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 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 exhaust The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve establish compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).

    Free & Easy

    Well, let’s countenance it: it’s IBM software. It has a pretty long history. You would probably not anticipate that it is simple 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 simple Explain

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

  • Explain a statement by prefixing it with elaborate blueprint for

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

  • Display a stored elaborate blueprint using db2exfmt

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

  • There is another command line utensil (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you earn 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 requisite bar no fraction the time (the operations) is presented in a pretty unreadable course (IMHO). I’m particularly thankful that bar no fraction 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 course to display an execution plan: “Write your own queries against the elaborate tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s appellation suggest: it shows the execution blueprint of the terminal 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 - connect (Q2.SUBSIDIARY_ID = DECIMAL(Q1.SUBSIDIARY_ID, 10, 0)) connect (Q2.EMPLOYEE_ID = DECIMAL(Q1.EMPLOYEE_ID, 10, 0)) 3 - SARG ((CURRENT DATE - 6 MONTHS) < Q2.SALE_DATE) Explain blueprint by Markus Winand - NO WARRANTY http://use-the-index-luke.com/s/last_explained

    I’m pretty certain many DB2 users will articulate that this presentation of the execution blueprint is confusing. And that’s OK. If you are used to the course IBM presents execution plans, just stick to what you are used to. However, I’m working with bar no fraction kinds of databases and they bar no fraction possess a course to display the execution blueprint 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 earn the source of the last_explained view from here or from GitHub (direct download). I’m solemn about the no warranty part. Yet I’d like to know about problems you possess with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing bar no fraction table rows. They are useful in three cases:

  • To preserve space when the index is only useful for a very little 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 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 lively = '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 bar no fraction parts of the index key hold the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.

    Generally speaking, emulating partial indexes works by mapping bar no fraction parts of the key (all indexed columns) to NULL for rows that should not conclude 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 office 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; conclude IF; END; /

    It’s a deterministic office and can thus subsist used in an Oracle function-based index. This won’t toil 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 office returns NULL which is not Put in the index (there is no other column that could subsist non-NULL). Voilà: a partial index in the Oracle database.

    To exhaust this index, just exhaust the pi_processed office in the where clause:

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

    This is functionally equivalent to:

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

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

    To acquire this approach toil in DB2 they requisite two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a course to map processed rows to NULL without using a user-defined office 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 achieve expression based indexing, just not on user-defined functions. The mapping they requisite 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 office above. bethink 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 preclude those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

    To exhaust the index, just exhaust 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 titanic disappointment: the optimizer didn’t bewitch the index. It does a complete table scan instead. What’s wrong?

    If you possess a very near gape at the execution blueprint 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 exhaust 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 advantageous understanding what they achieve and can transform them.

    We requisite a course to apply their magic NULL-mapping but they can’t exhaust functions (can’t subsist indexed) nor can they exhaust CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty simple to muddle an optimizer. bar no fraction you requisite to achieve 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 exhaust this expression in the index and the query, I earn 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 conclude = ?) 5 - START ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL conclude = ?) halt ( CASE WHEN (Q1.PROCESSED = 'N') THEN (Q1.RECEIVER + 0) ELSE NULL conclude = ?)

    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 achieve something doesn’t subsist of value you should. This approach is so ugly—even more unsightly than the Oracle workaround—that you must desperately requisite a partial index to justify this maintenance nightmare. Further it will halt working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just requisite Put an even more unsightly 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 sound 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 terminal 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 yardstick 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 terminal 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 True for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not sound at bar no fraction and bow 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 gape like an arbitrary omission, it is in fact a very sane trot that I deeply respect. offset is the root of so much evil. In the next section, I’ll elaborate how to live without offset.

    Side node: If you possess code using offset that you cannot change, you can noiseless activate the MySQL compatibility vector that makes confine and offset available in DB2. humorous enough, combining fetch first with offset is then noiseless not workable (that would subsist yardstick compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to configuration a lone 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 destitute 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 requisite to earn the next few ones. For that you’d exhaust the time_stamp value of the terminal 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 identical time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the state till where you possess the result. This is where row-value predicates promote 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 acquire certain 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 yardstick since 1992! However, it is workable to apply the identical logic without row-value predicates—but that’s rather inconvenient and simple to earn wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates advantageous enough to acquire proper exhaust of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the birthright result, it does not exhaust 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 course it should be.

    The fact that DB2 LUW has everything you requisite for convenient keyset pagination is likewise the intuition why there is absolutely no intuition to complain about the missing offset functionality. In fact I believe that offset should not possess been added to the SQL yardstick and I’m contented to note a vendor that resisted the exhort to add it because its became fraction of the standard. Sometimes the yardstick is wrong—just sometimes, not very often ;) I can’t change the standard—all I can achieve is teaching how to achieve it birthright and start campaigns like #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you like my course of explaining things, you’ll admire my bespeak “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 possess taken introductory courses in databases and fundamental algorithms. lore or suffer in data warehousing, working lore of a mainstream database system (e.g., Microsoft SQL Server, IBM DB2, Oracle 11g), and previous programming suffer 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 coast sets will likewise subsist available in PDF configuration for convenient printing and review.
  • Handouts may likewise subsist distributed in class and will, in some cases, subsist available in electronic configuration on the class Web site.
  • There will subsist one required lectures each week. Readings will subsist assigned at the conclude 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 birthright 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 system (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 authorization (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 possess access to an I5 account. delight 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 possess further links to pages with announcements, handouts, etc. Students are required to log in and check the page at least once a week to acquire certain 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 imperative messages, such a updates and hints for the homeworks.

    If you possess any questions, issues that you want to discuss, or things that you would like to possess clarified, delight 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 sagacious or creative solutions.
  • To receive a passing grade, you must complete satisfactory toil in every area. In other words, you must receive passing grades for your homework (cumulatively) and a passing grade on the final.

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

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

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

    However, they achieve strongly cheer students to discuss the materials covered in class. It is likewise acceptable to serve or receive serve 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 discuss these issues with the instructor before you achieve so.

    We would like the course to Run smoothly and enjoyably. Feel free to let the instructor know what you find advantageous and enchanting 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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    Operations & Process Management: Principles & Practice for Strategic ImpactOperations & Process Management: Principles & Practice for Strategic Impact
    By Nigel Slack, Alistair Jones
    Publisher : Pearson (Feb 2018)
    ISBN10 : 129217613X
    ISBN13 : 9781292176130
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    Subject : Business & Economics
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    Computer Security: Principles and PracticeComputer Security: Principles and Practice
    By William Stallings, Lawrie Brown
    Publisher : Pearson (Aug 2017)
    ISBN10 : 0134794109
    ISBN13 : 9780134794105
    Our ISBN10 : 1292220619
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    Subject : Computer Science & Technology
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    Urban EconomicsUrban Economics
    By Arthur O’Sullivan
    Publisher : McGraw-Hill (Jan 2018)
    ISBN10 : 126046542X
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    Urban EconomicsUrban Economics
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (Feb 2018)
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    Publisher : McGraw-Hill (May 2018)
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    Understanding BusinessUnderstanding Business
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    Publisher : McGraw-Hill (Jan 2018)
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    Our ISBN10 : 126009233X
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    Publisher : McGraw-Hill (Jan 2018)
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