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

Vendor Name : 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 : March 21, 2019
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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 question Optimization the usage of AI | killexams.com Real Questions and Pass4sure dumps

In September 2018, IBM introduced a new product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors records access patterns from executing SQL statements, makes use of laptop researching algorithms to decide upon greatest patterns and passes this assistance to the Db2 query optimizer to be used by using subsequent statements.

desktop learning on the IBM z Platform

In may additionally of 2018, IBM introduced edition 1.2 of its computing device discovering for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests efficiency facts, analyzes and builds models that symbolize the fitness reputation of a considerable number of symptoms, screens them over time and provides actual-time scoring capabilities.

several facets of this product offering are geared toward helping a community of mannequin developers and managers. as an instance:

  • It supports distinctive programming languages comparable to Python, Scala and R. This makes it possible for data modelers and scientists to use a language with which they're familiar;
  • A graphical user interface referred to as the visual model Builder guides model developers devoid of requiring totally-technical programming skills;
  • It contains distinct dashboards for monitoring model results and scoring features, in addition to controlling the system configuration.
  • This computer researching suite turned into at first geared toward zServer-based analytics purposes. some of the first glaring choices changed into zSystem efficiency monitoring and tuning. gadget administration Facility (SMF) records that are automatically generated by the operating system provide the raw facts for device resource consumption such as relevant processor usage, I/O processing, reminiscence paging and so on. IBM MLz can collect and keep these facts over time, and construct and teach fashions of device habits, score these behaviors, establish patterns no longer without problems foreseen by way of humans, advance key performance indicators (KPIs) and then feed the model effects returned into the device to affect gadget configuration alterations that can enhance performance.

    The next step turned into to implement this suite to analyze Db2 efficiency data. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) answer template, applies the computing device studying know-how to Db2 operational statistics to profit an knowing of Db2 subsystem fitness. it might probably dynamically build baselines for key performance indicators, give a dashboard of those KPIs and provides operational team of workers precise-time insight into Db2 operations.

    whereas general Db2 subsystem performance is a vital factor in typical utility fitness and performance, IBM estimates that the DBA help staff spends 25% or extra of its time, " ... fighting entry direction issues which trigger efficiency degradation and repair influence.". (See Reference 1).

    AI involves Db2

    trust the plight of modern DBAs in a Db2 environment. In present day IT world they must aid one or extra big records applications, cloud application and database capabilities, application installation and configuration, Db2 subsystem and utility performance tuning, database definition and administration, catastrophe restoration planning, and more. question tuning has been in existence considering that the origins of the database, and DBAs are usually tasked with this as well.

    The heart of query course evaluation in Db2 is the Optimizer. It accepts SQL statements from functions, verifies authority to access the statistics, reviews the areas of the objects to be accessed and develops an inventory of candidate data entry paths. These entry paths can include indexes, desk scans, numerous desk join strategies and others. within the information warehouse and large information environments there are continually additional choices accessible. One of those is the existence of abstract tables (now and again referred to as materialized query tables) that contain pre-summarized or aggregated records, as a consequence allowing Db2 to stay away from re-aggregation processing. one more option is the starjoin access course, regular in the information warehouse, the place the order of desk joins is changed for performance motives.

    The Optimizer then studies the candidate access paths and chooses the entry course, "with the lowest cost." can charge in this context capacity a weighted summation of resource utilization together with CPU, I/O, reminiscence and different supplies. at last, the Optimizer takes the lowest charge entry path, retailers it in memory (and, optionally, in the Db2 directory) and starts access course execution.

    massive facts and facts warehouse operations now consist of application suites that allow the company analyst to make use of a graphical interface to build and manipulate a miniature data model of the information they need to analyze. The programs then generate SQL statements in line with the clients’ requests.

    The problem for the DBA

    in order to do respectable analytics on your assorted data stores you need a good figuring out of the information requirements, an knowing of the analytical functions and algorithms available and a excessive-performance data infrastructure. sadly, the quantity and location of statistics sources is increasing (both in measurement and in geography), records sizes are growing, and purposes continue to proliferate in quantity and complexity. How may still IT managers guide this ambiance, specifically with essentially the most experienced and mature group of workers nearing retirement?

    be aware additionally that a large part of reducing the total charge of possession of these methods is to get Db2 functions to run faster and greater successfully. This continually interprets into the use of fewer CPU cycles, doing fewer I/Os and transporting much less records across the network. on account that it's regularly complex to even determine which applications might benefit from efficiency tuning, one approach is to automate the detection and correction of tuning concerns. this is where desktop researching and synthetic intelligence can also be used to extraordinary effect.

    Db2 12 for z/OS and synthetic Intelligence

    Db2 edition 12 on z/OS makes use of the computing device discovering amenities outlined above to collect and shop SQL question textual content and access path details, in addition to precise efficiency-linked ancient suggestions akin to CPU time used, elapsed instances and influence set sizes. This offering, described as Db2 AI for z/OS, analyzes and retailers the information in computer learning fashions, with the mannequin evaluation consequences then being scored and made accessible to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then use the model scoring information as enter to its access route alternative algorithm.

    The influence should still be a reduction in CPU consumption because the Optimizer uses mannequin scoring input to opt for more desirable access paths. This then lowers CPU expenses and speeds application response times. a major competencies is that the usage of AI software does not require the DBA to have statistics science potential or deep insights into question tuning methodologies. The Optimizer now chooses the ultimate entry paths primarily based no longer only on SQL query syntax and statistics distribution records but on modelled and scored old performance.

    This may also be mainly vital if you shop facts in numerous locations. as an example, many analytical queries against big facts require concurrent access to definite records warehouse tables. These tables are commonly called dimension tables, and that they contain the statistics elements continually used to handle subsetting and aggregation. as an example, in a retail ambiance believe a table known as StoreLocation that enumerates every keep and its region code. Queries towards save revenue statistics may also need to mixture or summarize sales with the aid of region; therefore, the StoreLocation desk could be used by using some large records queries. during this atmosphere it is commonplace to take the dimension tables and duplicate them continually to the huge facts application. in the IBM world this place is the IBM Db2 Analytics Accelerator (IDAA).

    Now suppose about SQL queries from each operational purposes, statistics warehouse users and large data business analysts. From Db2's perspective, all these queries are equal, and are forwarded to the Optimizer. despite the fact, within the case of operational queries and warehouse queries they should undoubtedly be directed to entry the StoreLocation table within the warehouse. nevertheless, the query from the company analyst against big information tables may still probably access the replica of the desk there. This outcomes in a proliferations of competencies entry paths, and extra work for the Optimizer. fortuitously, Db2 AI for z/OS can deliver the Optimizer the advice it must make smart entry direction decisions.

    the way it Works

    The sequence of hobbies in Db2 AI for z/OS (See Reference 2) is frequently here:

  • throughout a bind, rebind, put together or clarify operation, an SQL commentary is passed to the Optimizer;
  • The Optimizer chooses the facts access route; as the option is made, Db2 AI captures the SQL syntax, access route alternative and question performance information (CPU used, and so forth.) and passes it to a "learning task";
  • The studying project, which can also be performed on a zIIP processor (a non-common-purpose CPU core that does not ingredient into utility licensing charges), interfaces with the machine learning software (MLz mannequin services) to store this advice in a model;
  • as the amount of statistics in each and every mannequin grows, the MLz Scoring provider (which can also be completed on a zIIP processor) analyzes the model records and scores the conduct;
  • right through the next bind, rebind, prepare or clarify, the Optimizer now has entry to the scoring for SQL models, and makes acceptable adjustments to access direction decisions.
  • There are additionally numerous person interfaces that supply the administrator visibility to the fame of the gathered SQL statement efficiency data and mannequin scoring.

    summary

    IBM's laptop researching for zOS (MLz) offering is being used to amazing effect in Db2 version 12 to enhance the performance of analytical queries as well as operational queries and their linked purposes. This requires management consideration, as you have to assess that your business is ready to eat these ML and AI conclusions. How will you measure the expenses and merits of the use of desktop studying? Which IT aid workforce must be tasked to reviewing the outcomes of mannequin scoring, and maybe approving (or overriding) the results? How will you evaluate and justify the assumptions that the utility makes about access route selections?

    In other phrases, how well do you know your information, its distribution, its integrity and your present and proposed entry paths? this can assess the place the DBAs spend their time in aiding analytics and operational utility efficiency.

    # # #

    Reference 1

    John Campbell, IBM Db2 exceptional EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 software performance with laptop studying"https://www.worldofdb2.com/activities/ibm-db2-ai-for-z-os-raise-ibm-db2-software-efficiency-with-ma

    Reference 2

    Db2 AI for z/OShttps://www.ibm.com/help/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html

    See all articles with the aid of Lockwood Lyon


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

    IBM DB2 is a relational DBMS with built-in aid for a couple of NoSQL capabilities, together with XML, graph store and Java Script Object Notation (JSON). Used by agencies of all sizes, DB2 offers a data platform for each transactional and analytical operations in addition to continuous availability of facts to retain transactional workflows and analytics operating successfully.

    OSes DB2 supports

    DB2 is purchasable for 3 simple structures:

  • notebook, 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 variations: AIX, Solaris and HP-UX; Linux variations include purple Hat, SUSE, Ubuntu and Linux on pSeries and equipment z.

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

    DB2 aspects

    The existing edition of DB2 for LUW is eleven.1, released in 2d quarter 2016. This release focuses on improvements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, added to DB2 in version 10.5, gives a column save ability, in addition to technological efficiency boosts for actionable compression, exploitation of the single guideline distinctive information (SIMD) capabilities of contemporary CPUs, and statistics skipping know-how.

    For DB2 11, BLU Acceleration will also be deployed across a massively parallel processing (MPP) network cluster structure. BLU Acceleration can be utilized in database partitioning facility environments for MPP scale out, which may improve question efficiency for massive partitioned applications. additionally, this edition improves in-reminiscence capabilities for column-equipped tables and integration with IBM records Server manager to investigate workloads and investigate even if they can advantage from column-oriented tables.

    DB2 for LUW eleven also adds assist for top Availability catastrophe restoration, or HADR, in pureScale clustered DB2 databases. facts may also be mirrored from a chief pureScale database cluster to a second native or remote standby cluster, thereby enhancing recoverability. An further development for pureScale is the birth of online repair pack replace aid, permitting clients to practice DB2 11.1 fix packs to particular person members running in a pureScale cluster with no need to take the total cluster offline.

    On the protection entrance, DB2 11 allows the use of enterprise key administration systems for storing native encryption grasp keys. The DB2 superior recuperation feature is a bundle of database backup, healing and facts extraction equipment that may assist clients enhance availability, mitigate chance and optimize administrative initiatives.

    The current version of DB2 for z/OS is eleven, which changed into released in October 2013. Highlights of DB2 11 for z/OS include performance and availability enhancements, more suitable analytics capabilities, application compatibility points, stronger entry direction steadiness and archive transparency. IBM additionally 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 info: the Database manager configuration file containing configuration parameters for a whole illustration, and Database configuration information for every database.      

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

    DB2 for z/OS is put in as a subsystem with add-ons for database capabilities, lock administration, distributed request processing and connecting to other mainframe brokers. The subsystem is configured with a group of parameters known as the DSNZPARMs.

    DB2 choices

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

  • DB2 superior commercial enterprise Server edition presents the maximum level of performance purchasable for DB2 and is suitable for transactional, warehouse and combined workloads. This version has no processor, memory or database dimension limits and is derived with a full complement of warehouse equipment, InfoSphere Optim tools and IBM statistics Studio.
  • DB2 advanced Workgroup Server edition is comparable to the DB2 superior commercial enterprise Server edition, apart from it areas limits on processor, reminiscence and database dimension. This version is top of the line-proper for deployment in a departmental, workgroup or midsize business ambiance.
  • DB2 business Server version is correct for transactional and combined workloads, and like the advanced edition, it has no processor, reminiscence or database size limits. however, in contrast to the advanced version, it lacks column-geared up tables, in-reminiscence database, information compression, workload management, replication and distributed partitioning capabilities.
  • DB2 Workgroup Server version is primarily for transactional workloads. This edition locations limits on processor, reminiscence and database size, which makes it superior for medium-dimension workloads.
  • DB2 Direct superior edition is a version of DB2 advanced Workgroup Server edition for digital start.
  • DB2 Direct usual version is a digital edition of DB2 Workgroup Server version for digital beginning.
  • DB2 for massive records combines the relational engine of DB2 with IBM's BigInsights platform for massive facts and analytics. This edition is designed to raise portability of statistics throughout 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 tips administration customer or server structures.
  • additionally, DB2 specific-C edition, an entry-level edition of the DB2 facts server for the developer and partner neighborhood, is purchasable at no cost. It may also be installed on physical or digital systems with any quantity of CPU and RAM, and is optimized to expend to a highest of two cores and sixteen GB of memory.

    DB2 statistics forms

    DB2 helps the normal numeric, persona, and date/time information varieties neatly as LOBs, XML and person-defined types. JSON is supported by means of DB2 JSON, a driver-based mostly answer that can provide JSON records representation inside the context of an RDBMS.

    DB2 benchmarks

    IBM has posted a lot of TPC benchmarks for DB2 on all platforms supported. IBM sells DB2 for LUW direct, via enterprise companions, on-line and thru application selected licensing, which permits companies similar to SAP to license and promote DB2 relational DBMS as a part of their purposes.

    Pricing is in accordance with processor cost unit (PVU), which is a unit of measure that IBM uses to license its application. IBM applies a PVU count number to each and every core of a processor. The pricing is then in line with the number of PVUs for the processor and by means of the number of processors made attainable to DB2.

    The developer edition is licensed by authorized person, not PVU. There are extra nuances to pricing and licensing in line with DB2 editions that don't seem to be lined right here.

    DB2 licensing

    The license charge for DB2 comprises first-yr support and subscription, entitling the owner to contact IBM for help in addition to to download fixes and enhancements to future models/releases of the product.

    DB2 for z/OS relational DBMS is offered without delay through IBM and is licensed as a monthly license can charge (MLC) product. There are a large number of metrics available for pricing MLC products. A ninety-day free trial down load is accessible from the IBM web page.

    concerning the authorCraig S. Mullins is a knowledge administration strategist, researcher, consultant and creator with greater than 30 years of event in all aspects of database techniques construction. he's president and important consultant of Mullins Consulting Inc. and writer/editor of TheDatabaseSite.com. e mail him at craig@craigmullins.com.

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

    this text changed into updated in September 2016.


    a way to hook up with DB2 With SQL Developer | killexams.com Real Questions and Pass4sure dumps

    Configure Oracle SQL Developer to interact with a DB2 database.

    Configure Oracle SQL Developer to interact with a DB2 database.

    Jupiterimages/photos.com/Getty pictures

    The Oracle SQL Developer tool can connect with databases other than Oracle, including MySQL, Microsoft SQL Server and DB2. The SQL building environment helps the programmer function fundamental features on supported non-Oracle databases. developers can browse and execute simple opt for queries on supported databases. however, write entry is not supported for DB2. before setting up the connection, download and install the IBM DB2 drivers.


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    IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

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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”.


    Configuring Secure Sockets Layer (SSL) for DB2 Server and Client | killexams.com real questions and Pass4sure dumps

    Environment : Linux , DB Version : 10.5

    Configure the Server to use SSL

    Lets understand the requirement here. We need the DB Server to accept connections from a new port which uses SSL. So we need to open a new service to accept SSL connections. One part of this task is authentication (which can be done also via certificates) and another part is the encrypted connection that protects the communication between server and client.

    GSKit package is used for key generations. This is automatically installed when DB2 is installed. The default path is (For Linux the default path is /opt/ibm/db2/V11.1/gskit/bin/).

    rule : Run all commands as instance owner.

    Ok now lets start ….

  • Create a Folder to save the keys ,a key database and set up digital certificates with below command. (write access needs to be there)
  • /home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -keydb -create -db “server.kdb” -pw “Passw0rd” -stash

    note : if the LIBPATH is set correctly, no need to specify a path when running gsk8capicmd_64.

    Command gsk8capicmd_64 is used for management of CA certificates. In our command we used the following options:

  • -keydb — work with key database
  • -create — create a key database
  • -db — name of the file that is used as a key database
  • -pw — password to the key database
  • -stash — this option will create a stash file in the same location as the key database
  • The -stash option creates a stash file at the same path as the key database, with a file extension of .sth. At instance start-up, GSKit uses the stash file to obtain the password to the key database.

    2. The next step is to create a certificate for the key database. Here, I will create a self-signed certificate with a label mylabel.

    /home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -create -db “server.kdb” -pw “Passw0rd” -label “mylabel” -dn “CN=testcompany” -size 2048 -sigalg SHA256_WITH_RSA

    The following options are used:

  • -cert — command is for certificates
  • -create — creates the certificate
  • -db — indicates which database the certificate will be stored in
  • -pw — password for the key store. The hyphen (-) can be used, and an interactive prompt will appear for password
  • -label — label for the certificate to uniquely identify the certificate in the key database
  • -dn — The X.500 distinguished name that will identify the certificate. Only a CN (common name) value is required. Other information can be added to the DN (distinguish name), such as O for an organization, C for a country and so on.
  • -size — size of the key in bits
  • -sigalg — signature algorithm used for the certificate. Algorithms for PKCS #12 are used.
  • 3. Extract the certificate you just created to a file, so that you can distribute it to computers running clients that will be establishing SSL connections to your Db2 server./home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -extract -db “server.kdb” -pw “Passw0rd” -label “mylabel” -target “server.arm” -format ascii -fips

    at this stage your directory will have the below set of files,

    server.rdb, server.crl, server.sth, server.kdb, server.arm

    To display the certificate, issue the following command:/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -details -db “server.kdb” -pw “Passw0rd” -label “mylabel”

    You will be needing the above files later… now lets move into configuring the DataBase to create a new SSL service.

    4. Changes in DB2 Server Configurations To set up your Db2 server for SSL support, log in as the Db2 instance owner and set the following configuration parameters and the DB2COMM registry variable.a. Set the ssl_svr_keydb configuration parameter to the fully qualified path of the key database file. (.kdb file is used from the above 5 files created.Author assumes that you have created the keys in this path : /home/db2inst2/cert/)

    db2 update dbm cfg using SSL_SVR_KEYDB /home/db2inst2/cert/server.kdboutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    b. Set the ssl_svr_stash configuration parameter to the fully qualified path of the stash file. (.sth file is used from the above 5 files created.Author assumes that you have created the keys in this path : /home/db2inst2/cert/)db2 update dbm cfg using SSL_SVR_STASH /home/db2inst2/cert/server.sthOutput :DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    c. Set the ssl_svr_label configuration parameter to the label of the digital certificate of the server, which you added in Step 1. If ssl_svr_label is not set, the default certificate in the key database is used. If there is no default certificate in the key database, SSL is not enabled.db2 update dbm cfg using SSL_SVR_LABEL mylabel

    d. The SSL connections require a separate port. It can be defined as a service name or port number. The service name needs to be defined in /etc/services. vi /etc/services file and add a new service name for SSL port.

    db2cs_db2inst2 50002/tcpeg: make sure the service name and port is different from the existing port, db2c_db2inst2 50001/tcp  db2cs_db2inst2 50002/tcp

    e. The new service name is db2cs_db2inst2, port 50002, protocol TCP. This parameter is also required to enable SSL connections.db2 update dbm cfg using SSL_SVCENAME db2cs_db2inst2

    OutPut : DB20000I The UPDATE DATABASE MANAGER CONFIGURATION command completedsuccessfully.

    f. Add the value SSL to the DB2COMM registry variable. db2set -i db2inst2 DB2COMM=SSL

    g. Ensure to enable both TCP/IP and SSL communication protocols for the DB Instance. If you are planning to use only one, then no need to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.

    Just to be on the safe side, validate you configs using the below command.db2 get dbm cfg|grep SSL SSL server keydb file (SSL_SVR_KEYDB) = /home/db2inst2/cert/server.kdb SSL server stash file (SSL_SVR_STASH) = /home/db2inst2/cert/server.sth SSL server certificate label (SSL_SVR_LABEL) = mylabel SSL service name (SSL_SVCENAME) = db2cs_db2inst2 SSL cipher specs (SSL_CIPHERSPECS) = SSL versions (SSL_VERSIONS) = SSL client keydb file (SSL_CLNT_KEYDB) = SSL client stash file (SSL_CLNT_STASH) =

    5. Stop and ReStart the DB. 6. Validate if the DB is started with multiple ports. netstat -tap|grep db2tcp 0 0 *:db2c_db2inst2 *:* LISTEN 23682/db2sysc 0tcp 0 0 *:db2cs_db2inst2 *:* LISTEN 23682/db2sysc 0



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