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IBM IBM DB2 10.5 DBA

MB application receives A deal with On remote SQL Jobs | killexams.com existent Questions and Pass4sure dumps

November 28, 2018 Alex Woodie

system directors who acquire pissed off with the inability to Look which SQL jobs coming in via ODBC are inflicting issues on their IBM i server could live attracted to a product called work with active SQL (WRKACTSQL) from MB software and Consulting, which lately introduced the device might live free through the conclusion of the year.

SQL is essentially as proximate to a regularly occurring language for enterprise as that you could get. whereas there are different (i.e. “native”) methods of fetching data from Db2 for i, essentially three-quarters of IBM i builders report using SQL, making it the quantity two most conventional construction language on IBM i, after RPG (which could use “native” calls or SQL).

The difficulty is, not sum SQL jobs are created equal. When it involves administering to an IBM i server that’s processing a huge number of SQL jobs, things can acquire dicey for these charged with ensuring that things race smoothly.

each IBM i administrator is typical with the work with energetic Jobs (WRKACTJOB) command from IBM, which displays each active jobs on the gadget and tells them which ones are consuming the most substances. WRKACTJOB is a superb command.

however, that command doesn’t sum the time deliver the essential degree of clarity on sum jobs, especially when faraway SQL requests are coming in over the community through the Open Database Connectivity (ODBC) exit factor.

When far flung SQL queries devour materials through ODBC and JDBC, WKRACTJOB shows the roles below the QZDASOINIT heading. Jobs that originate on net and cellular consumers, and even SQL queries fired off from device i Navigator, sum Fall beneath this QZDASOINIT umbrella.

The issue is that directors haven't any thought what these QZDASOINIT jobs are doing or what code they’re linked to. sum they view is that these QZDASOINIT jobs are ingesting lots of gadget resources, and they should handle the problem.

faraway SQL queries are exposed for what they really are with MB utility and Consulting’s WRKACTSQL tool.

That’s where MB utility and Consulting’s WRKACTSQL device comes into the graphic. The command is designed to give visibility and manage over remote ODBC requests by using displaying the genuine SQL statements which are impacting the system in actual time, thereby allowing methods directors to react correctly.

based on MB application and Consulting, WKRACTSQL lets admins hang, terminate, or exchange race priority for inescapable SQL requests that operating on the gadget. It additionally permits them to set up signals to automatically receive notification when a consumer runs the identical SQL request that led to the difficulty within the first vicinity. The software furthermore lets directors shroud selected users and specific SQL requests from getting entry to the system.

MB application and Consulting invariably prices $500 per LPAR for WRKACTSQL. however as a Part of a promotion unveiled final month, the ny company is giving the device away for gratis via December 31. For extra suggestions view the company’s website at www.mb-utility.com.

linked stories

Boadway places IBM i efficiency statistics on the Cloud

MB software Introduces WebClip/400

ezRAD.com pronounces time-honored Availability of PalmView/four hundred

efficiency device Developer Breaks fresh ground with PalmView/400

Tags: Tags: IBM i, JDBC, LPAR, ODBC, Open Database Connectivity, RPG, SQL, WRKACTSQL

4 Hundred panoply screen, November 28 Syncsort Snags EView for Log facts Hooks


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

IBM DB2 is a relational DBMS with integrated advocate for a few NoSQL capabilities, together with XML, graph redeem and Java Script object Notation (JSON). Used via corporations of sum sizes, DB2 offers a lore platform for both transactional and analytical operations in addition to perennial availability of data to retain transactional workflows and analytics working efficiently.

OSes DB2 supports

DB2 is available for three basic structures:

  • computer, 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 variants comprehend pink Hat, SUSE, Ubuntu and Linux on pSeries and gadget z.

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

    DB2 features

    The present edition of DB2 for LUW is eleven.1, released in 2d quarter 2016. This release makes a speciality of improvements to BLU Acceleration and pureScale performance.

    BLU Acceleration, added to DB2 in edition 10.5, provides a column hold capacity, in addition to technological efficiency boosts for actionable compression, exploitation of the one pilot divide information (SIMD) capabilities of modern CPUs, and information skipping technology.

    For DB2 eleven, BLU Acceleration will furthermore live deployed throughout a massively parallel processing (MPP) community cluster structure. BLU Acceleration will furthermore live utilized in database partitioning facility environments for MPP scale out, which can enrich question efficiency for tremendous partitioned functions. moreover, this edition improves in-memory capabilities for column-prepared tables and integration with IBM statistics Server supervisor to resolve workloads and examine no matter if they could odds from column-oriented tables.

    DB2 for LUW 11 additionally adds pilot for tall Availability catastrophe restoration, or HADR, in pureScale clustered DB2 databases. facts will furthermore live mirrored from a chief pureScale database cluster to a 2d local or far off standby cluster, thereby improving recoverability. An further improvement for pureScale is the delivery of on-line fix pack update aid, permitting clients to practice DB2 11.1 repair packs to individual participants running in a pureScale cluster with no requisite to recall the whole cluster offline.

    On the protection front, DB2 11 allows the use of enterprise key administration systems for storing aboriginal encryption master keys. The DB2 advanced healing characteristic is a bundle of database backup, recuperation and information extraction tools that may aid users enhance availability, mitigate possibility and optimize administrative projects.

    The existing edition of DB2 for z/OS is 11, which turned into released in October 2013. Highlights of DB2 eleven for z/OS consist of efficiency and availability enhancements, stronger analytics capabilities, software compatibility aspects, more advantageous entry path steadiness and archive transparency. IBM furthermore offers the IBM DB2 Analytics Accelerator, which is an add-on to DB2 for z/OS for rushing up analytical queries.

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

    DB2 for LUW is furthermore embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 devoid of the time-consuming installing and configuration required of a traditional DBMS installing.

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

    DB2 choices

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

  • DB2 superior enterprise Server version presents the optimum flat of performance available for DB2 and is rectify for transactional, warehouse and blended workloads. This version has no processor, recollection or database dimension limits and comes with a plenary complement of warehouse equipment, InfoSphere Optim tools and IBM records Studio.
  • DB2 advanced Workgroup Server edition is similar to the DB2 superior commercial enterprise Server edition, apart from it areas limits on processor, reminiscence and database measurement. This version is premiere-applicable for deployment in a departmental, workgroup or midsize company ambiance.
  • DB2 traffic Server version is preempt for transactional and blended workloads, and just dote the advanced edition, it has no processor, recollection or database dimension limits. however, in contrast to the superior version, it lacks column-geared up tables, in-memory database, records compression, workload administration, replication and distributed partitioning capabilities.
  • DB2 Workgroup Server edition is essentially for transactional workloads. This version areas limits on processor, recollection and database measurement, which makes it gold measure for medium-dimension workloads.
  • DB2 Direct advanced version is a version of DB2 superior Workgroup Server version for digital start.
  • DB2 Direct ordinary edition is a digital version of DB2 Workgroup Server version for digital beginning.
  • DB2 for massive facts combines the relational engine of DB2 with IBM's BigInsights platform for massive information and analytics. This edition is designed to enhance portability of statistics across relational techniques and Hadoop.
  • DB2 Developer version is designed for a sole software developer to design, build and prototype purposes for deployment on any of the IBM information administration client or server structures.
  • additionally, DB2 express-C version, an entry-degree version of the DB2 statistics server for the developer and accomplice community, is available for gratis. It can live installed on physical or virtual programs with any volume of CPU and RAM, and is optimized to expend to a maximum of two cores and 16 GB of reminiscence.

    DB2 information kinds

    DB2 helps the general numeric, personality, and date/time statistics kinds well as LOBs, XML and user-described forms. JSON is supported via DB2 JSON, a driver-based solution that grants JSON data representation inside the context of an RDBMS.

    DB2 benchmarks

    IBM has posted numerous TPC benchmarks for DB2 on sum structures supported. IBM sells DB2 for LUW direct, through enterprise companions, on-line and thru utility particular licensing, which allows providers corresponding to SAP to license and sell DB2 relational DBMS as a Part of their functions.

    Pricing is according to processor value unit (PVU), which is a unit of measure that IBM makes use of to license its software. IBM applies a PVU signify to each core of a processor. The pricing is then in response to the number of PVUs for the processor and by using the number of processors made accessible to DB2.

    The developer version is licensed with the aid of approved person, now not PVU. There are additional nuances to pricing and licensing based on DB2 editions that aren't lined prerogative here.

    DB2 licensing

    The license cost for DB2 contains first-year help and subscription, entitling the proprietor to contact IBM for help as well as to down load fixes and upgrades to future models/releases of the product.

    DB2 for z/OS relational DBMS is sold directly with the aid of IBM and is licensed as a monthly license cost (MLC) product. There are numerous metrics available for pricing MLC products. A ninety-day free trial down load is obtainable from the IBM web site.

    about the authorCraig S. Mullins is a lore administration strategist, researcher, consultant and writer with greater than 30 years of sustain in sum aspects of database programs construction. he's president and foremost consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. email him at craig@craigmullins.com.

    e-mail us at editor@searchdatamanagement.com and solemnize us on Twitter: @sDataManagement.

    this article become up to date in September 2016.


    IBM Touts BLU Acceleration big records technology Now in DB2 | killexams.com existent Questions and Pass4sure dumps

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    IBM DB2 10.5 DBA for LUW Upgrade from DB2 10.1

    Pass 4 positive C2090-311 dumps | Killexams.com C2090-311 existent questions | http://smresidences.com.ph/

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

    IBM DB2 is a relational DBMS with integrated advocate for a number of NoSQL capabilities, including XML, graph store and Java Script object Notation (JSON). Used by organizations of sum sizes, DB2 provides a data platform for both transactional and analytical operations as well as continuous availability of data to hold 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 comprehend 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 live 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 sole instruction multiple data (SIMD) capabilities of modern CPUs, and data skipping technology.

    For DB2 11, BLU Acceleration can live deployed across a massively parallel processing (MPP) network cluster architecture. BLU Acceleration can live used in database partitioning facility environments for MPP scale out, which can help query performance for big 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 benefit from column-oriented tables.

    DB2 for LUW 11 furthermore adds advocate for tall Availability disaster Recovery, or HADR, in pureScale clustered DB2 databases. Data can live 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 recall the entire cluster offline.

    On the security front, DB2 11 enables the use of enterprise key management systems for storing aboriginal encryption master keys. The DB2 Advanced Recovery Feature is a bundle of database backup, recovery and data extraction tools that can help users help 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 comprehend performance and availability enhancements, improved analytics capabilities, application compatibility features, improved access path stability and archive transparency. IBM furthermore 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 furthermore embedded into IBM's database PureData appliance, enabling turnkey implementation of DB2 without the time-consuming installation and configuration required of a unostentatious 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 flat 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 plenary 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 traffic environment.
  • DB2 Enterprise Server Edition is suitable for transactional and mixed workloads, and dote 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 measure for medium-size workloads.
  • DB2 Direct Advanced Edition is a version of DB2 Advanced Workgroup Server Edition for digital delivery.
  • DB2 Direct measure Edition is a digital version of DB2 Workgroup Server Edition for digital delivery.
  • DB2 for tremendous Data combines the relational engine of DB2 with IBM's BigInsights platform for tremendous data and analytics. This edition is designed to enhance portability of data across relational systems and Hadoop.
  • DB2 Developer Edition is designed for a sole 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 colleague community, is available for free. It can live 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 measure 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 sum platforms supported. IBM sells DB2 for LUW direct, through traffic 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 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 advocate and subscription, entitling the owner to contact IBM for advocate 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 sustain in sum 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 result 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 use The Index, Luke as preparation for an upcoming training I’m giving. This blog post describes the major differences I’ve organize compared to the other databases I’m covering (Oracle, SQL Server, PostgreSQL and MySQL).

    Free & Easy

    Well, let’s visage it: it’s IBM software. It has a pretty long history. You would probably not hope 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 live 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 route to panoply an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with intricate scheme for

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

  • Display a stored intricate scheme using db2exfmt

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

  • There is another command line appliance (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you acquire 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 plenary output of db2exfmt has 400 lines. Quite a lot information that you’ll hardly ever need. Even the information that you requisite sum the time (the operations) is presented in a pretty unreadable route (IMHO). I’m particularly thankful that sum the numbers you view 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 route to panoply an execution plan: “Write your own queries against the intricate tables.” And that’s exactly what I did: I wrote a view called last_explained that does exactly what it’s appellation suggest: it shows the execution scheme of the final statement that was explained (in a non-useless formatting):

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

    I’m pretty positive many DB2 users will shriek that this presentation of the execution scheme is confusing. And that’s OK. If you are used to the route IBM presents execution plans, just stick to what you are used to. However, I’m working with sum kinds of databases and they sum beget a route to panoply the execution scheme 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 acquire the source of the last_explained view from here or from GitHub (direct download). I’m grave about the no warranty part. Yet I’d dote to know about problems you beget with the view.

    Emulating Partial Indexes is Possible

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

  • To preserve space when the index is only useful for a very diminutive 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 dote the following can live 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 advocate a where clause for indexes dote 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 sum parts of the index key accommodate the null value.” This is actually the hard-wired behaviour in the Oracle database and it is commonly exploited to emulate partial indexes in the Oracle database.

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

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

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

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

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

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

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

    This is functionally equivalent to:

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

    So far, so ugly. If you depart 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 route to map processed rows to NULL without using a user-defined office so it can live used in a DB2 index.

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

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

    This implements the very identical mapping as the pi_processed office above. recall that CASE expressions are first class citizens in SQL—they can live 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 live 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 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 | recur | | 49686 2 | TBSCAN MESSAGES | 900 of 999999 ( .09%) | 49686 Predicate Information 2 - SARG (Q1.PROCESSED = 'N') SARG (Q1.RECEIVER = ?)

    Oh, that’s a tremendous disappointment: the optimizer didn’t recall the index. It does a plenary table scan instead. What’s wrong?

    If you beget a very proximate Look at the execution scheme above, which I created with my last_explained view, you might view 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 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 conclude and can transform them.

    We requisite a route to apply their magic NULL-mapping but they can’t use functions (can’t live indexed) nor can they use CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty easy to discombobulate an optimizer. sum you requisite to conclude 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 acquire this execution plan:

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

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

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

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

    INCLUDE Clause Only for Unique Indexes

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

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

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

  • Almost No NULLS FIRST/LAST Support

    The NULLS FIRST and NULLS final 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 measure doesn’t specify a default. As you can view 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 furthermore view that DB2 doesn’t advocate 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 final when it is in line with the default NULLS order. In other words, ORDER BY col ASC NULLS FIRST is valid, but it doesn’t change the result—NULLS FIRST is anyways the default. identical is telling for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not telling at sum and relent 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 advocate the offset clause, which was introduced with the very identical release of the SQL standard. Although it might Look dote an capricious omission, it is in fact a very sage gallop that I deeply respect. offset is the root of so much evil. In the next section, I’ll intricate how to live without offset.

    Side node: If you beget code using offset that you cannot change, you can soundless activate the MySQL compatibility vector that makes circumscribe and offset available in DB2. amusing enough, combining fetch first with offset is then soundless not practicable (that would live measure compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to profile a sole analytic 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 impecunious advocate 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 dote 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 acquire the next few ones. For that you’d use the time_stamp value of the final entry you’ve got for the bind value (?). The query then just recur the rows from there on. But what if there are two rows with the very identical time_stamp value? Then you requisite a tiebreaker: a second column—preferably a unique column—in the order by and where clauses that unambiguously marks the situation till where you beget the result. This is where row-value predicates near 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 positive 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 live 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 measure since 1992! However, it is practicable to apply the identical logic without row-value predicates—but that’s rather inconvenient and easy to acquire wrong.

    Even if a database understands the row-value predicate, it’s not necessarily understanding these predicates Good enough to construct proper use of indexes that advocate the order by clause. This is where MySQL fails—although it applies the logic correctly and delivers the prerogative 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 advocate row-value predicates in the route it should be.

    The fact that DB2 LUW has everything you requisite for convenient keyset pagination is furthermore the intuition why there is absolutely no intuition to complain about the missing offset functionality. In fact I reflect that offset should not beget been added to the SQL measure and I’m gratified to view a vendor that resisted the prod to add it because its became Part of the standard. Sometimes the measure is wrong—just sometimes, not very often ;) I can’t change the standard—all I can conclude is teaching how to conclude it prerogative and start campaigns dote #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you dote my route of explaining things, you’ll dote my reserve “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 fresh port which uses SSL. So they requisite to open a fresh service to accept SSL connections. One Part of this chore is authentication (which can live done furthermore 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 : race sum 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 live 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 identical location as the key database
  • The -stash option creates a stash file at the identical 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 live stored in
  • -pw — password for the key store. The hyphen (-) can live 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 appellation that will identify the certificate. Only a CN (common name) value is required. Other information can live 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 ration it to computers running clients that will live 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 panoply the certificate, issue the following command:/home/db2inst2/sqllib/gskit/bin/gsk8capicmd_64 -cert -details -db “server.kdb” -pw “Passw0rd” -label “mylabel”

    You will live needing the above files later… now lets gallop into configuring the DataBase to create a fresh 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 divide port. It can live defined as a service appellation or port number. The service appellation needs to live defined in /etc/services. vi /etc/services file and add a fresh service appellation for SSL port.

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

    e. The fresh service appellation is db2cs_db2inst2, port 50002, protocol TCP. This parameter is furthermore 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 requisite to add both. db2set -i db2inst2 DB2COMM=SSL,TCPIPDone.

    Just to live on the safe side, validate you configs using the below command.db2 acquire 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 appellation (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. discontinue 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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