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C2090-311 - IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1 - Dump Information

Vendor : IBM
Exam Code : C2090-311
Exam Name : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Questions and Answers : 30 Q & A
Updated On : November 16, 2018
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C2090-311 Questions and Answers

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C2090-311 IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

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Killexams.com C2090-311 Dumps and Real Questions

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C2090-311 exam Dumps Source : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

Test Code : C2090-311
Test Name : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Vendor Name : IBM
Q&A : 30 Real Questions

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IBM IBM DB2 10.5 DBA

IBM DB2 relational DBMS overview | killexams.com Real Questions and Pass4sure dumps

IBM DB2 is a relational DBMS with integrated support for a few NoSQL capabilities, together with XML, graph save and Java Script Object Notation (JSON). Used by way of agencies of all sizes, DB2 provides a knowledge platform for each transactional and analytical operations in addition to continuous availability of facts to retain transactional workflows and analytics working efficiently.

OSes DB2 supports

DB2 is attainable for three primary structures:

  • pc, with DB2 for Linux, Unix and home windows (LUW)
  • Midrange, with DB2 for iSeries
  • Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
  • DB2 supports these Unix variants: AIX, Solaris and HP-UX; Linux variations include pink Hat, SUSE, Ubuntu and Linux on pSeries and system z.

    DB2 for i comes pre-put in on the iSeries server and, as such, may not be addressed here.

    DB2 aspects

    The current version of DB2 for LUW is eleven.1, launched in 2d quarter 2016. This free up focuses on advancements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, delivered to DB2 in version 10.5, offers a column shop capacity, in addition to technological performance boosts for actionable compression, exploitation of the one guideline distinctive information (SIMD) capabilities of contemporary CPUs, and statistics skipping technology.

    For DB2 11, BLU Acceleration may also be deployed across a hugely parallel processing (MPP) community cluster structure. BLU Acceleration will also be used in database partitioning facility environments for MPP scale out, that may enrich question performance for giant partitioned purposes. additionally, this edition improves in-reminiscence capabilities for column-prepared tables and integration with IBM statistics Server supervisor to analyze workloads and check whether they can benefit from column-oriented tables.

    DB2 for LUW eleven additionally adds support for top Availability disaster recovery, or HADR, in pureScale clustered DB2 databases. records may also be mirrored from a major pureScale database cluster to a 2d local or far off standby cluster, thereby enhancing recoverability. An additional growth for pureScale is the delivery of online fix pack replace support, permitting users to apply DB2 eleven.1 fix packs to particular person contributors working in a pureScale cluster without having to take the entire cluster offline.

    On the safety entrance, DB2 11 allows the use of commercial enterprise key management techniques for storing native encryption master keys. The DB2 superior recuperation function is a bundle of database backup, recuperation and records extraction equipment that can assist users improve availability, mitigate possibility and optimize administrative projects.

    The current edition of DB2 for z/OS is eleven, which became launched in October 2013. Highlights of DB2 eleven for z/OS include performance and availability enhancements, superior analytics capabilities, utility compatibility aspects, more advantageous entry direction stability and archive transparency. IBM also presents the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.

    DB2 for LUW requires two configuration info: the Database manager configuration file containing configuration parameters for a complete instance, and Database configuration information for each and every database.      

    DB2 for LUW is additionally embedded into IBM's database PureData equipment, enabling turnkey implementation of DB2 with out the time-ingesting installation and configuration required of a traditional DBMS setting up.

    DB2 for z/OS is installed as a subsystem with components for database features, lock administration, distributed request processing and connecting to different mainframe brokers. The subsystem is configured with a set of parameters called the DSNZPARMs.

    DB2 offerings

    As of edition 11, IBM presents eight variations of DB2 for LUW:

  • DB2 superior business Server version offers the highest level of functionality accessible for DB2 and is appropriate for transactional, warehouse and mixed workloads. This version has no processor, memory or database measurement limits and springs with a full complement of warehouse tools, InfoSphere Optim tools and IBM facts Studio.
  • DB2 advanced Workgroup Server version is similar to the DB2 superior business Server edition, apart from it locations limits on processor, reminiscence and database size. This version is top-quality-desirable for deployment in a departmental, workgroup or midsize company ambiance.
  • DB2 commercial enterprise Server version is proper for transactional and combined workloads, and just like the superior edition, it has no processor, memory or database size limits. despite the fact, unlike the superior edition, it lacks column-geared up tables, in-memory database, records compression, workload management, replication and allotted partitioning capabilities.
  • DB2 Workgroup Server version is primarily for transactional workloads. This edition locations limits on processor, reminiscence and database measurement, which makes it best for medium-size workloads.
  • DB2 Direct advanced version is a edition of DB2 superior Workgroup Server edition for digital delivery.
  • DB2 Direct normal version is a digital version of DB2 Workgroup Server edition for digital delivery.
  • DB2 for massive facts combines the relational engine of DB2 with IBM's BigInsights platform for big statistics and analytics. This version is designed to raise portability of data throughout relational methods and Hadoop.
  • DB2 Developer version is designed for a single application developer to design, build and prototype functions for deployment on any of the IBM advice administration client or server platforms.
  • additionally, DB2 express-C version, an entry-degree version of the DB2 information server for the developer and associate community, is attainable at no cost. It can be installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to use up to a highest of two cores and sixteen GB of memory.

    DB2 statistics types

    DB2 supports the usual numeric, personality, and date/time facts forms smartly as LOBs, XML and user-described kinds. JSON is supported by means of DB2 JSON, a driver-based solution that supplies JSON statistics representation in the context of an RDBMS.

    DB2 benchmarks

    IBM has published a large number of TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, through company companions, online and thru software specific licensing, which allows providers such as SAP to license and sell DB2 relational DBMS as a part of their purposes.

    Pricing is in keeping with processor cost unit (PVU), which is a unit of measure that IBM uses to license its software. IBM applies a PVU count to each and every core of a processor. The pricing is then in line with the variety of PVUs for the processor and through the variety of processors made available to DB2.

    The developer version is licensed by way of authorized user, now not PVU. There are additional nuances to pricing and licensing in accordance with DB2 editions that are not lined here.

    DB2 licensing

    The license can charge for DB2 contains first-yr help and subscription, entitling the owner to contact IBM for assist in addition to to download fixes and improvements to future types/releases of the product.

    DB2 for z/OS relational DBMS is sold at once with the aid of IBM and is licensed as a month-to-month license cost (MLC) product. There are numerous metrics obtainable for pricing MLC items. A ninety-day free trial down load is purchasable from the IBM web page.

    concerning the authorCraig S. Mullins is an information administration strategist, researcher, advisor and creator with greater than 30 years of experience in all facets of database programs construction. he's president and main consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. electronic mail him at craig@craigmullins.com.

    electronic mail us at editor@searchdatamanagement.com and observe us on Twitter: @sDataManagement.

    this article turned into up-to-date in September 2016.


    IBM Touts BLU Acceleration massive statistics know-how Now in DB2 | killexams.com Real Questions and Pass4sure dumps

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    IBM security QRadar - SIEM Product Overview and perception | killexams.com Real Questions and Pass4sure dumps

    Most fresh items Articles

    down load our in-depth record: The top-quality e book to IT security vendors

    See our comprehensive checklist of exact 10 SIEM items.See person experiences for IBM protection QRadar.

    final analysis

    IBM's QRadar core product is identified with the aid of assorted analyst firms, together with Gartner, Forrester, and Aberdeen, as a leadership expertise. Gartner considers QRadar greater acceptable to midsize and big enterprises that require core SIEM capabilities, besides these trying to find a unified platform that covers a wide range of security monitoring and operational applied sciences. It scores excessive marks for superior analytics and user-based mostly monitoring. however, implementation complexity and the deserve to license additional add-ons for full functionality might also limit its cost to SMEs or corporations missing internal security talents.

    enterprise Description

    QRadar launched its core protection analytics product in 2005, and Q1 Labs became received via IBM in 2011. IBM has endured to make investments in the product line.

    Product Description

    IBM protection QRadar presents SIEM, safety intelligence and security analytics. with the aid of chaining collectively varied security routine into widely used patterns of malicious behaviors, QRadar can pinpoint community breaches, records exfiltrations and anomalies happening on a company's community. This core ability is richly supported by vulnerability management, network forensics equipment, and an built-in incident response solution in the identical workbench.

    https://o1.qnsr.com/log/p.gif?;n=203;c=204650406;s=9477;x=7936;f=201801171513530;u=j;z=TIMESTAMP;a=20392955;e=i

    these days delivered facets include:

  • Opening up the platform to combine with third-party dealer purposes
  • QRadar statistics shop with unlimited logging at a hard and fast fee per appliance
  • area identify Server Analyzer for the detection of domain generating Algorithms (DGA), Tunneling and Squatting, that can disguise this malicious conduct
  • Sysmon content material Pack to integrate with all the windows Sysmon events
  • QRadar Cloud Visibility to superior comfortable materials in Amazon net services, Microsoft Azure and IBM Cloud environments
  • QRadar network Insights to notice phishing, insider threats, information exfiltration and malware undertaking via examining community packet information as it traverses the network
  • QRadar user behavior Analytics to handle insider threats
  • QRadar SIEM points Rated

    Threats blocked: Very first rate. QRadar gives the skill to realize an infinite variety of threats of all kinds. It integrates with a big range of community, endpoint and database protection solutions to allow threats to be instantly and instantly blocked when detected.

    Sources ingested: Very first rate. QRadar supports over 500 modules for ingesting statistics and uses automation to sense sources of security log facts and find new community circulation site visitors linked to new assets appearing on the network. It additionally contains netflow, jflow, sflow, and packet catch.

    Throughput: optimal. event Per second (EPS) collection and processing rates for QRadar aren't distinct in the 50,000+ range, with some deployments working at fees within the a hundred,000+ and others in excess of 1.5 million EPS. QRadar can method over 3 million Flows Per Minute on a single appliance.

    value: Very first rate. A Forrester analysis examine found QRadar provided:

  • 75% improvement within the satisfactory of risk detection and time to detection
  • 75% development in incident response times due to the ability to look all related information in a single region
  • 50% efficiency positive aspects in investigations and compliance reporting
  • 35% ROI (merits of $14.1 million over three years versus expenses of $10.5 million, adding as much as an ROI of 35%)
  • Implementation: first rate. The current regular deployment time for QRadar on Cloud, including surroundings rule and initial tuning, is 30 days. Ponemon Institute pointed out QRadar shoppers are in a position to set up their options in 1/three the time of competitive SIEM solutions. client feedback on the QRadar structure is often superb, but for buyers requiring a multicomponent-primarily based structure, the number of licensable add-ons and alternate options required can generate confusion in the and buying process.

    management: Very first rate – but requires capabilities. One fiscal trade safety manager stated, "a pretty good team of SOC experts is required to translate the talents of the environment, utility landscape, network and certain use circumstances to basically make it helpful."

    QRadar presents:

  • Centralized, web-obtainable administration from the leading QRadar interface
  • Integration with standardized id structures for authentication and authorization similar to LDAP, ad, Radius, TACACS, and greater
  • information archive/backup administration as well as person-described retention of information in keeping with complete filtering
  • real-time popularity and monitoring of all statistics sources, with alerting/notifications on facts feed loss
  • aid: Very decent. One security engineer known as it "costly however ultimate-of-breed." Gartner cited that there's common availability of managed service support for on-premises QRadar deployments from third parties (and from IBM for giant money owed), and QRadar is additionally accessible in a hosted SIEM model.

    Scalability: Very decent.

  • One appliance supports 300+ servers
  • a few giant valued clientele have deployments with 150 to 200 managed hosts accumulating from records elements international
  • Many accounts have over more than 300 licensed clients
  •  IBM QRadar

    Markets and Use situations

    QRadar sees extra traction in mid-sized to massive groups which are surely to have a wealth of valuable statistics that cybercriminals can make the most on an open marketplace. This comprises financial, govt and healthcare verticals, however additionally manufacturers possessing intellectual property, utilities assisting vital infrastructures, communications and transportation agencies in search of to retain business continuity, and retail establishments. additionally, its multi-tenanted design allows Managed security provider suppliers (MSSPs) to run and control the solution on behalf of their customers. QRadar on Cloud, IBM's SaaS offering, is used via small to medium companies.

    safety qualifications

    regular standards, ISO 27001, GLBA, GSX-Memo-2, FISMA, GPG - 13, Garante, ARJEL, HIPPA, CoCo, NERC, PCI DSS, SOX, NIST, GPG13, ISO 27001, SANS correct 20, NIST, GDPR, FIPS a hundred and forty-2 tiers 1 and a pair of, DHS CDM.

    delivery

    Cloud (BYOL for AWS and Azure), SaaS (QRadar on Cloud), on-premises hardware, software, virtual computing device. The on-premises answer can be carried out on IBM-supplied hardware appliances, third-birthday celebration appliances, cloud-hosted cases, and digital appliances. In All-in-One situations, a single equipment or VM serves the intention of experience/circulation collector, adventure/move processor and console (UI). In distributed environments, users can install as many collectors/processors as they select.

    Pricing

    IBM QRadar (on-premises) starts at $10,seven-hundred, together with three hundred and sixty five days of aid. IBM QRadar on Cloud (SaaS) starts at $800 U.S. monthly, on an annual term.

    For extra evaluation of IBM QRadar, see IBM QRadar vs Splunk: good SIEM options in comparison and ArcSight vs IBM QRadar: precise SIEM options in comparison.


    C2090-311 IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

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    C2090-311 exam Dumps Source : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

    Test Code : C2090-311
    Test Name : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
    Vendor Name : IBM
    Q&A : 30 Real Questions

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    IBM DB2 relational DBMS overview | killexams.com real questions and Pass4sure dumps

    IBM DB2 is a relational DBMS with integrated support for a number of NoSQL capabilities, including XML, graph store and Java Script Object Notation (JSON). Used by organizations of all sizes, DB2 provides a data platform for both transactional and analytical operations as well as continuous availability of data to keep transactional workflows and analytics operating efficiently.

    OSes DB2 supports

    DB2 is available for three primary platforms:

  • Workstation, with DB2 for Linux, Unix and Windows (LUW)
  • Midrange, with DB2 for iSeries
  • Mainframe, with DB2 for z/OS, the predominant mainframe relational DBMS
  • DB2 supports these Unix variants: AIX, Solaris and HP-UX; Linux variants include Red Hat, SUSE, Ubuntu and Linux on pSeries and System z.

    DB2 for i comes pre-installed on the iSeries server and, as such, won't be addressed here.

    DB2 features

    The current version of DB2 for LUW is 11.1, released in second quarter 2016. This release focuses on improvements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, added to DB2 in Version 10.5, provides a column store capability, as well as technological performance boosts for actionable compression, exploitation of the single instruction multiple data (SIMD) capabilities of modern CPUs, and data skipping technology.

    For DB2 11, BLU Acceleration can be deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can be used in database partitioning facility environments for MPP scale out, which can improve query performance for large partitioned applications. Additionally, this version improves in-memory capabilities for column-organized tables and integration with IBM Data Server Manager to analyze workloads and determine whether they can benefit from column-oriented tables.

    DB2 for LUW 11 also adds support for High Availability Disaster Recovery, or HADR, in pureScale clustered DB2 databases. Data can be mirrored from a primary pureScale database cluster to a second local or remote standby cluster, thereby improving recoverability. An additional improvement for pureScale is the delivery of online fix pack update support, allowing users to apply DB2 11.1 fix packs to individual members running in a pureScale cluster without having to take the entire cluster offline.

    On the security front, DB2 11 enables the use of enterprise key management systems for storing native encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can help users improve availability, mitigate risk and optimize administrative tasks.

    The current version of DB2 for z/OS is 11, which was released in October 2013. Highlights of DB2 11 for z/OS include performance and availability enhancements, improved analytics capabilities, application compatibility features, improved access path stability and archive transparency. IBM also offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for speeding up analytical queries.

    DB2 for LUW requires two configuration files: the Database Manager configuration file containing configuration parameters for an entire instance, and Database configuration files for each database.      

    DB2 for LUW is also embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming installation and configuration required of a normal DBMS installation.

    DB2 for z/OS is installed as a subsystem with components for database services, lock management, distributed request processing and connecting to other mainframe agents. The subsystem is configured with a set of parameters called the DSNZPARMs.

    DB2 offerings

    As of Version 11, IBM offers eight editions of DB2 for LUW:

  • DB2 Advanced Enterprise Server Edition offers the highest level of functionality available for DB2 and is suitable for transactional, warehouse and mixed workloads. This edition has no processor, memory or database size limits and comes with a full complement of warehouse tools, InfoSphere Optim tools and IBM Data Studio.
  • DB2 Advanced Workgroup Server Edition is similar to the DB2 Advanced Enterprise Server Edition, except it places limits on processor, memory and database size. This edition is best-suited for deployment in a departmental, workgroup or midsize business environment.
  • DB2 Enterprise Server Edition is suitable for transactional and mixed workloads, and like the advanced version, it has no processor, memory or database size limits. However, unlike the advanced version, it lacks column-organized tables, in-memory database, data compression, workload management, replication and distributed partitioning capabilities.
  • DB2 Workgroup Server Edition is primarily for transactional workloads. This edition places limits on processor, memory and database size, which makes it ideal for medium-size workloads.
  • DB2 Direct Advanced Edition is a version of DB2 Advanced Workgroup Server Edition for digital delivery.
  • DB2 Direct Standard Edition is a digital version of DB2 Workgroup Server Edition for digital delivery.
  • DB2 for Big Data combines the relational engine of DB2 with IBM's BigInsights platform for big data and analytics. This edition is designed to enhance portability of data across relational systems and Hadoop.
  • DB2 Developer Edition is designed for a single application developer to design, build and prototype applications for deployment on any of the IBM Information Management client or server platforms.
  • Additionally, DB2 Express-C edition, an entry-level edition of the DB2 data server for the developer and partner community, is available for free. It can be installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to use up to a maximum of two cores and 16 GB of memory.

    DB2 data types

    DB2 supports the standard numeric, character, and date/time data types well as LOBs, XML and user-defined types. JSON is supported via DB2 JSON, a driver-based solution that delivers JSON data representation within the context of an RDBMS.

    DB2 benchmarks

    IBM has published numerous TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, through business partners, online and through application specific licensing, which allows vendors such as SAP to license and sell DB2 relational DBMS as part of their applications.

    Pricing is based on processor value unit (PVU), which is a unit of measure that IBM uses to license its software. IBM applies a PVU count to each core of a processor. The pricing is then based on the number of PVUs for the processor and by the number of processors made available to DB2.

    The developer edition is licensed by authorized user, not PVU. There are additional nuances to pricing and licensing based on DB2 editions that aren't covered here.

    DB2 licensing

    The license cost for DB2 includes first-year support and subscription, entitling the owner to contact IBM for support as well as to download fixes and upgrades to future versions/releases of the product.

    DB2 for z/OS relational DBMS is sold directly by IBM and is licensed as a monthly license charge (MLC) product. There are numerous metrics available for pricing MLC products. A 90-day free trial download is available from the IBM website.

    About the authorCraig S. Mullins is a data management strategist, researcher, consultant and author with more than 30 years of experience in all facets of database systems development. He is president and principal consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. Email him at craig@craigmullins.com.

    Email us at editor@searchdatamanagement.com and follow us on Twitter: @sDataManagement.

    This article was updated in September 2016.


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

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

    Free & Easy

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

    No Easy Explain

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

  • Explain a statement by prefixing it with explain plan for

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

  • Display a stored explain plan using db2exfmt

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

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

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

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

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

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

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

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

    Emulating Partial Indexes is Possible

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    This is functionally equivalent to:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    INCLUDE Clause Only for Unique Indexes

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

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

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

  • Almost No NULLS FIRST/LAST Support

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

    Figure A.1. Database/Feature Matrix

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

    SQL:2008 FETCH FIRST but not OFFSET

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

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

    Decent Row-Value Predicates Support

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

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

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

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

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

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

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

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

    The fact that DB2 LUW has everything you need for convenient keyset pagination is also the reason why there is absolutely no reason to complain about the missing offset functionality. In fact I think that offset should not have been added to the SQL standard and I’m happy to see a vendor that resisted the urge to add it because its became part of the standard. Sometimes the standard is wrong—just sometimes, not very often ;) I can’t change the standard—all I can do is teaching how to do it right and start campaigns like #NoOffset.

    Figure A.2. Database/Feature Matrix

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


    Oracle F4Q08 (Qtr End 5/31/08) Earnings Call Transcript | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!Software license update and product support revenues were up 23% on a non-GAAP basis for the quarter to $2.9 billion and up 23% on a non-GAAP basis to $10.5 billion for the ... The Oracle database is ...


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