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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 denomination : IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1
Vendor denomination : IBM
: 30 existent Questions

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IBM IBM DB2 10.5 DBA

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

IBM DB2 is a relational DBMS with integrated support for a number of NoSQL capabilities, together with XML, graph store and Java Script remonstrate Notation (JSON). Used by way of groups of complete sizes, DB2 gives a scholarship platform for each transactional and analytical operations as well as interminable availability of information to retain transactional workflows and analytics operating correctly.

OSes DB2 helps

DB2 is accessible for three basic systems:

  • notebook, 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 helps these Unix variations: AIX, Solaris and HP-UX; Linux editions consist of crimson Hat, SUSE, Ubuntu and Linux on pSeries and device z.

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

    DB2 facets

    The present edition of DB2 for LUW is 11.1, launched in 2nd quarter 2016. This unencumber specializes in improvements to BLU Acceleration and pureScale functionality.

    BLU Acceleration, delivered to DB2 in version 10.5, offers a column redeem ability, in addition to technological efficiency boosts for actionable compression, exploitation of the only sheperd numerous information (SIMD) capabilities of up to date CPUs, and data skipping know-how.

    For DB2 eleven, BLU Acceleration will also subsist deployed across a massively parallel processing (MPP) community cluster architecture. BLU Acceleration can subsist utilized in database partitioning facility environments for MPP scale out, that could enrich query performance for enormous partitioned applications. additionally, this edition improves in-reminiscence capabilities for column-geared up tables and integration with IBM information Server manager to investigate workloads and verify even if they could improvement from column-oriented tables.

    DB2 for LUW eleven also adds back for tall Availability catastrophe recuperation, or HADR, in pureScale clustered DB2 databases. statistics can also subsist mirrored from a first-rate pureScale database cluster to a second local or faraway standby cluster, thereby enhancing recoverability. An further growth for pureScale is the birth of online repair pack supplant aid, allowing users to apply DB2 eleven.1 repair packs to particular person individuals working in a pureScale cluster with no requisite to hoist the total cluster offline.

    On the protection front, DB2 eleven enables the employ of trade key management methods for storing endemic encryption master keys. The DB2 superior recuperation function is a bundle of database backup, restoration and data extraction tools that may support users enhance availability, mitigate possibility and optimize administrative projects.

    The current version of DB2 for z/OS is 11, which become launched in October 2013. Highlights of DB2 eleven for z/OS encompass efficiency and availability enhancements, more desirable analytics capabilities, application compatibility features, enhanced entry course equilibrium 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 example, and Database configuration data for each and every database.      

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

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

    DB2 choices

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

  • DB2 superior commercial enterprise Server version offers the optimum degree of functionality obtainable for DB2 and is material for transactional, warehouse and combined workloads. This edition has no processor, recollection or database dimension limits and springs with a full complement of warehouse equipment, InfoSphere Optim tools and IBM facts Studio.
  • DB2 advanced Workgroup Server version is akin to the DB2 superior enterprise Server edition, except it areas limits on processor, recollection and database size. This edition is most appropriate-perfect for deployment in a departmental, workgroup or midsize company atmosphere.
  • DB2 trade Server version is proper for transactional and combined workloads, and just fondness the advanced version, it has no processor, recollection or database size limits. despite the fact, in contrast to the superior edition, it lacks column-geared up tables, in-reminiscence database, facts compression, workload administration, replication and allotted partitioning capabilities.
  • DB2 Workgroup Server version is essentially for transactional workloads. This version areas limits on processor, reminiscence and database dimension, which makes it gold standard for medium-size workloads.
  • DB2 Direct advanced version is a edition of DB2 advanced Workgroup Server edition for digital start.
  • DB2 Direct commonplace edition is a digital version of DB2 Workgroup Server version for digital birth.
  • DB2 for huge records combines the relational engine of DB2 with IBM's BigInsights platform for massive facts and analytics. This version is designed to raise portability of statistics across relational methods and Hadoop.
  • DB2 Developer edition is designed for a single software developer to design, construct and prototype purposes for deployment on any of the IBM assistance administration customer or server systems.
  • moreover, DB2 express-C edition, an entry-stage version of the DB2 facts server for the developer and confederate neighborhood, is available at no cost. It may also subsist installed on actual or digital programs with any amount of CPU and RAM, and is optimized to employ up to a optimum of two cores and sixteen GB of memory.

    DB2 data kinds

    DB2 helps the usual numeric, character, and date/time facts varieties neatly as LOBs, XML and consumer-described kinds. JSON is supported by the employ of DB2 JSON, a driver-based solution that provides JSON facts illustration inside the context of an RDBMS.

    DB2 benchmarks

    IBM has published numerous TPC benchmarks for DB2 on complete structures supported. IBM sells DB2 for LUW direct, through enterprise companions, online and through utility specific licensing, which allows for vendors equivalent to SAP to license and promote DB2 relational DBMS as share of their purposes.

    Pricing is in accordance with processor value unit (PVU), which is a unit of measure that IBM makes employ of to license its software. IBM applies a PVU signify to each and every core of a processor. The pricing is then based on the variety of PVUs for the processor and with the aid of the number of processors made attainable to DB2.

    The developer edition is licensed by using licensed person, no longer PVU. There are further nuances to pricing and licensing in accordance with DB2 variations that aren't coated here.

    DB2 licensing

    The license permeate for DB2 comprises first-year aid and subscription, entitling the proprietor to contact IBM for sheperd in addition to to download fixes and improvements to future types/releases of the product.

    DB2 for z/OS relational DBMS is bought without delay with the aid of IBM and is licensed as a monthly license cost (MLC) product. There are numerous metrics obtainable for pricing MLC products. A ninety-day free trial down load is accessible from the IBM web page.

    in regards to the authorCraig S. Mullins is a scholarship administration strategist, researcher, consultant and author with more than 30 years of adventure in complete aspects of database techniques development. he is president and major advisor of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. email him at craig@craigmullins.com.

    email us at editor@searchdatamanagement.com and solemnize us on Twitter: @sDataManagement.

    this article became updated in September 2016.


    ITG: can charge/advantage Case for IBM DB2 10.5 for prime performance Analytics and Transaction Processing: in comparison to Oracle platforms | killexams.com existent Questions and Pass4sure dumps

    The database world is present process exceptional exchange. IBM and Oracle beget applied original technologies in their mainstream databases, but there are modifications with esteem to high-performance analytics and transaction processing. examine the ITG management report to notice how IBM and Oracle solutions evaluate in can permeate and expertise.

    down load PDF

    entry Db2 from IBM Cloud features the smooth way (Node.js) | killexams.com existent Questions and Pass4sure dumps

    learn the way emigrate and modernize stateless applications and dash them in a Kubernetes cluster.

    recently, I even beget been experimenting with the IBM Watson conversation provider and Db2. With a original function in the dialog provider it is feasible to function programmatic calls from a dialog node. Why now not query Db2? I carried out both a Db2 select and INSERT observation wrapped into actions of IBM Cloud functions. it's rather handy and here is what you requisite to comprehend.Db2 access via IBM Cloud Functions

    The conversation service helps client-facet and repair-aspect calls. This capacity, both the utility riding the chat will also subsist steered to construct an out of doors convoke or the dialog service itself is invoking an motion. it really is, IBM Cloud characteristic moves can subsist known as. For my test I coded up two moves, one to fetch information from a Db2 database, the other to insert original information. I chose Node.js 8 runtime platform since the Db2 driver for Node.js is already share of the runtime ambiance. The sources for the Db2-related actions are in this Github repository.

    Passing the revise values to the functions isn't an issue for you. acquiring the credentials for Db2 and making them purchasable inner the motion bought simplified these days. The CLI plugin for IBM Cloud features means that you can bind a provider to an motion as proven perquisite here:

    bx wsk service bind dashDB /hloeser/ConferenceFetch --instance henrikDB2 --keyname henriksKey2 in the case i'm binding credentials for the dashDB provider (it is Db2 Warehouse on Cloud) to considered one of my moves named "ConferenceFetch". as a result of I even beget varied service cases and might subsist separate keys (credentials) I construct employ of the not obligatory parameters "example" and "keyname". Thereafter, the Db2 configuration together with username and password is purchasable within the motion metadata. in the action code i'm the employ of this syntax to acquire the "dsn" suggestions. The dsn is used with the aid of the Db2 driver to connect with the database.

     __bx_creds: dashDB:dsn 

    With this tough define you should subsist capable of pick up your IBM Cloud features linked to Db2. those moves can then at once subsist referred to as from inside a dialog node of Watson conversation. i will establish up particulars on how that works in a further blog entry.

    in case you beget comments, assistance, or questions on this publish, gladden achieve out to me on Twitter (@data_henrik) or LinkedIn.

    topics:

    serverless ,ibm cloud capabilities ,db2 ,database ,node.js ,ibm cloud ,cloud


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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 existent 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 remonstrate Notation (JSON). Used by organizations of complete sizes, DB2 provides a data platform for both transactional and analytical operations as well as continuous availability of data to support 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 comprise 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 subsist 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 subsist deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can subsist used in database partitioning facility environments for MPP scale out, which can improve query performance for great partitioned applications. Additionally, this version improves in-memory capabilities for column-organized tables and integration with IBM Data Server Manager to resolve workloads and determine whether they can profit from column-oriented tables.

    DB2 for LUW 11 also adds support for tall Availability calamity Recovery, or HADR, in pureScale clustered DB2 databases. Data can subsist 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 hoist the entire cluster offline.

    On the security front, DB2 11 enables the employ of enterprise key management systems for storing endemic encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can back 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 comprise 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 commonplace 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 flush of functionality available for DB2 and is suitable for transactional, warehouse and mixed workloads. This edition has no processor, recollection 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, recollection and database size. This edition is best-suited for deployment in a departmental, workgroup or midsize trade environment.
  • DB2 Enterprise Server Edition is suitable for transactional and mixed workloads, and fondness the advanced version, it has no processor, recollection 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, recollection and database size, which makes it exemplar 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 enormous Data combines the relational engine of DB2 with IBM's BigInsights platform for enormous 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 confederate community, is available for free. It can subsist installed on physical or virtual systems with any amount of CPU and RAM, and is optimized to employ 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 complete platforms supported. IBM sells DB2 for LUW direct, through trade partners, online and through application specific licensing, which allows vendors such as SAP to license and sell DB2 relational DBMS as share 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 signify 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 permeate (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 suffer in complete 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 ensue us on Twitter: @sDataManagement.

    This article was updated in September 2016.


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

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

    Free & Easy

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

    No smooth Explain

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

  • Explain a statement by prefixing it with define diagram for

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

  • Display a stored define diagram using db2exfmt

    This is a command line tool, not something you can topple from an SQL prompt. To dash this tool you’ll requisite shell access to a DB2 installation (e.g. on the server). That means, that you cannot employ 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 pick up 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 requisite complete the time (the operations) is presented in a pretty unreadable way (IMHO). I’m particularly thankful that complete the numbers you notice 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 pomp an execution plan: “Write your own queries against the define tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s denomination suggest: it shows the execution diagram of the eventual statement that was explained (in a non-useless formatting):

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

    I’m pretty sure many DB2 users will content that this presentation of the execution diagram 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 complete kinds of databases and they complete beget a way to pomp the execution diagram 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 signify estimates and the predicate information.

    You can pick up 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 fondness to know about problems you beget with the view.

    Emulating Partial Indexes is Possible

    Partial indexes are indexes not containing complete 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 fondness the following can subsist used to avoid a sort operation:

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

  • However, DB2 doesn’t support a where clause for indexes fondness 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 complete 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 complete parts of the key (all indexed columns) to NULL for rows that should not quit 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 revert receiver; ELSE revert NULL; quit IF; END; /

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

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

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

    To employ this index, just employ 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 fade for this approach, you’d better requisite the partial index desperately.

    To construct this approach work in DB2 they requisite 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 subsist used in a DB2 index.

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

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

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

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

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

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

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

    If you beget a very proximate perceive at the execution diagram above, which I created with my last_explained view, you might notice something suspicious.

    Look at the predicate information. What happened to the CASE expression that they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to employ 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 sterling understanding what they execute and can transform them.

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

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

    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 fondness in more recent Oracle versions).

    As always: just because you can execute something doesn’t value you should. This approach is so ugly—even more unpleasant than the Oracle workaround—that you must desperately requisite 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 requisite establish an even more unpleasant obfuscation in there.

    INCLUDE Clause Only for Unique Indexes

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

  • In SQL Server comprise columns are only added to the leaf nodes of the index—not in the root and arm 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 appear to subsist the case in DB2.

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

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS eventual modifiers to the order by clause allow you to specify whether NULL values are considered as larger or smaller than non-NULL values during sorting. Strictly speaking, you must always specify the desired order when sorting nullable columns because the SQL standard doesn’t specify a default. As you can notice 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 notice that DB2 doesn’t support NULLS FIRST or NULLS LAST—neither in the order by clause no in the index definition. However, note that this is a simplified statement. In fact, DB2 accepts NULLS FIRST and NULLS eventual when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. very is perquisite for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not valid at complete 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 very release of the SQL standard. Although it might perceive fondness an whimsical omission, it is in fact a very wise whisk that I deeply respect. offset is the root of so much evil. In the next section, I’ll define how to live without offset.

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

    Decent Row-Value Predicates Support

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

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

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

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

    Imagine you’ve already fetched a bunch of rows and requisite to pick up the next few ones. For that you’d employ the time_stamp value of the eventual entry you’ve got for the bind value (?). The query then just revert the rows from there on. But what if there are two rows with the very very time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the station till where you beget the result. This is where row-value predicates arrive 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 construct sure there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t subsist any simpler to express this selection criteria. Unfortunately, neither the Oracle database nor SQLite or SQL Server understand this syntax—even though it’s in the SQL standard since 1992! However, it is workable to apply the very logic without row-value predicates—but that’s rather inconvenient and smooth to pick up wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates sterling enough to construct proper employ of indexes that support the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the perquisite result, it does not employ 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 requisite for convenient keyset pagination is also the judgement why there is absolutely no judgement to complain about the missing offset functionality. In fact I contemplate that offset should not beget been added to the SQL standard and I’m glad to notice a vendor that resisted the urge to add it because its became share of the standard. Sometimes the standard is wrong—just sometimes, not very often ;) I can’t change the standard—all I can execute is teaching how to execute it perquisite and start campaigns fondness #NoOffset.

    Figure A.2. Database/Feature Matrix

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


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

    Environment : Linux , DB Version : 10.5

    Configure the Server to use SSL

    Lets understand the requirement here. They requisite the DB Server to accept connections from a original port which uses SSL. So they requisite to open a original service to accept SSL connections. One share of this task is authentication (which can subsist done also via certificates) and another share 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 : dash complete commands as instance owner.

    Ok now lets start ….

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

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

    Command gsk8capicmd_64 is used for management of CA certificates. In their command they 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 very location as the key database
  • The -stash option creates a stash file at the very 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 subsist stored in
  • -pw — password for the key store. The hyphen (-) can subsist used, and an interactive prompt will issue for password
  • -label — label for the certificate to uniquely identify the certificate in the key database
  • -dn — The X.500 distinguished denomination that will identify the certificate. Only a CN (common name) value is required. Other information can subsist 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 dole it to computers running clients that will subsist 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 beget the below set of files,

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

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

    You will subsist needing the above files later… now lets whisk into configuring the DataBase to create a original 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 beget 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 beget 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 subsist defined as a service denomination or port number. The service denomination needs to subsist defined in /etc/services. vi /etc/services file and add a original service denomination for SSL port.

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

    e. The original service denomination 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 employ only one, then no requisite to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.

    Just to subsist on the safe side, validate you configs using the below command.db2 pick up 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 denomination (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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