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

Test Code : 000-611
Test cognomen : DB2 10.1 DBA for Linux UNIX and Windows
Vendor cognomen : IBM
: 118 existent Questions

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IBM IBM DB2 10.1 DBA

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

November 28, 2018 Alex Woodie

gadget administrators who snare frustrated with the need of faculty to see which SQL jobs coming in via ODBC are inflicting problems on their IBM i server may live drawn to a product called labor with dynamic SQL (WRKACTSQL) from MB software and Consulting, which lately announced the device could live free during the quit of the 12 months.

SQL is just about as near a common language for trade as that you can get. while there are other (i.e. “native”) strategies of fetching information from Db2 for i, practically three-quarters of IBM i developers record the exhaust of SQL, making it the quantity two most widespread construction language on IBM i, after RPG (which can exhaust “native” calls or SQL).

The difficulty is, not complete SQL jobs are created equal. When it comes to administering to an IBM i server that’s processing a great number of SQL jobs, issues can snare dicey for those charged with ensuring that things race smoothly.

each IBM i administrator is customary with the labor with dynamic Jobs (WRKACTJOB) command from IBM, which shows every energetic jobs on the outfit and tells them which ones are consuming probably the most resources. WRKACTJOB is a fine command.

besides the fact that children, that command doesn’t at complete times deliver the essential degree of clarity on complete jobs, specially when far off SQL requests are coming in over the community during the Open Database Connectivity (ODBC) exit factor.

When faraway SQL queries devour resources via ODBC and JDBC, WKRACTJOB displays the jobs beneath the QZDASOINIT heading. Jobs that originate on internet and mobile valued clientele, and even SQL queries fired off from device i Navigator, complete tumble below this QZDASOINIT umbrella.

The problem is that directors live pleased no conception what these QZDASOINIT jobs are doing or what code they’re associated with. complete they see is that these QZDASOINIT jobs are consuming loads of system elements, and that they need to exploit the difficulty.

far flung SQL queries are exposed for what they in reality are with MB software and Consulting’s WRKACTSQL tool.

That’s where MB software and Consulting’s WRKACTSQL device comes into the graphic. The command is designed to give visibility and exploit over far flung ODBC requests by course of displaying the actual SQL statements that are impacting the outfit in actual time, thereby enabling methods directors to react correctly.

based on MB utility and Consulting, WKRACTSQL lets admins cling, terminate, or alternate race priority for specific SQL requests that operating on the device. It moreover allows them to installation signals to instantly snare hold of notification when a user runs the equal SQL request that caused the problem in the first vicinity. The utility additionally lets directors cache selected users and particular SQL requests from getting entry to the device.

MB application and Consulting perpetually charges $500 per LPAR for WRKACTSQL. however as a fragment of a promotion unveiled remaining month, the stout apple enterprise is giving the utensil away for free of suffuse through December 31. For extra assistance see the business’s web site at www.mb-application.com.

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

4 Hundred monitor, November 28 Syncsort Snags EView for Log records Hooks


IBM DB2 Will goal Oracle Database builders | killexams.com existent Questions and Pass4sure dumps

news

IBM DB2 Will target Oracle Database developers
  • by using Jeffrey Schwartz
  • 04/24/09
  • IBM this week introduced a brand original edition of its flagship DB2 database with utility to live able to supply compatibility with purposes developed for Oracle databases.

    Embedded in IBM's imminent DB2 9.7, code-named "Cobra" and slated for release in June, is utility that provides compatibility with EnterpriseDB Corp.'s Postgres Plus superior Server database, which helps complete Oracle statistics forms, SQL syntax, semantics and different purposes constructed with Oracle PL/SQL saved strategies. Postgres superior Server is constructed on the open supply PostgreSQL database.

    "The set of technologies they now live pleased introduced will aid developers of custom applications and packaged functions installation to DB2," mentioned Bernie Spang, director of strategy, analytics and facts administration for IBM's software community.

    For IBM, or not it's the first time the trade has licensed technology from a issuer of open source database application, although EnterpriseDB founder Andy Astor talked about the utility embedded in DB2 is according to proprietary code.

    "here's no longer an open supply play," Astor mentioned. "everything else they execute is open supply but that is without doubt one of the approaches they execute their funds, by using promoting that compatibility know-how each to carriers relish IBM, during this case, and to users within the kindly of Postgres Plus advanced Server."

    EnterpriseDB facets to a brace of shoppers together with FTD and Sony online amusement which live pleased migrated functions developed for Oracle databases to Postgres Plus. The rob reliance of IBM "provides them with confirmed performance for enabling compatibility between DB2 and applications written for Oracle," pointed out 451 neighborhood analyst Matthew Aslett in an electronic mail.

    "Database migrations are complicated, time-consuming, costly and rare, so any functionality that makes the process easier is going to live welcomed by those organisations that are organized to execute the bounce," he brought.

    The licensing pact is the first via EnterpriseDB, however Astor famed others are being negotiated.

    IBM is hoping the flood will inspire more consumers to migrate to its InfoSphere Warehouse 9.7 enterprise edition, a knowledge-cleansing and trade analytics platform according to DB2 and expertise IBM received from Cognos.

    the brand original unlock is targeted at bringing records mining, analytics and cubing to departments of companies and smaller agencies, Spang observed. moreover original in DB2 is support for performing simultaneous transactions throughout XML and relational statistics.

    concerning the writer

    Jeffrey Schwartz is government editor, elements, for Redmond Developer information. that you would live able to contact him at jschwartz@reddevnews.com.


    IBM gives Away DB2 | killexams.com existent Questions and Pass4sure dumps

    First name: closing name: e-mail tackle: Password: ascertain Password: Username:

    Title: C-level/President supervisor VP personnel (affiliate/Analyst/and so forth.) Director

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    000-611 DB2 10.1 DBA for Linux UNIX and Windows

    Study sheperd Prepared by Killexams.com IBM Dumps Experts


    Killexams.com 000-611 Dumps and existent Questions

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

    Test Code : 000-611
    Test cognomen : DB2 10.1 DBA for Linux UNIX and Windows
    Vendor cognomen : IBM
    : 118 existent Questions

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    Enhanced Progress® DataDirect Connect® and DataDirect Connect XE for JDBC brag Performance Gains and Cloud Connection | killexams.com existent questions and Pass4sure dumps

    BEDFORD, Mass.--(BUSINESS WIRE)--Progress Software Corporation (NASDAQ: PRGS), a global software company that simplifies and enables the progress and deployment of trade applications, today announced the release of DataDirect Connect® for JDBC 5.1 and DataDirect Connect® XE for JDBC 5.1. Both offerings enable fast, secure, and highly scalable connectivity for a broad spectrum of data sources, which now comprise cloud databases such as Microsoft SQL Azure™, IBM DB2 10.1, IBM DB2 pureScale 9.8, and Microsoft SQL Server 2012. This sort of connectivity exemplifies Progress Software’s goal to serve companies better access their data whether on premise, or in the cloud.

    In today’s fast-paced world, organizations are looking for better ways to enhance customer experiences and dissect available data for more focused revenue opportunities. Crucial to that success is highly efficient and performant data connectivity across a wide variety of data sources, both on-premise and in the cloud. The improved DataDirect® JDBC drivers exploit communications and memory usage in a novel course – resulting in significant increases in both performance and efficiency. memory and CPU usage is reduced overall while throughput levels are raised, which translates into reduced operating costs.

    In addition to these advances in high-performance SQL access using JDBC, the original releases of the DataDirect Connect drivers comprise the following features:

  • Cloud database connectivity, with high-performance support for the Microsoft SQL Azure database, enabling efficient SQL access to Microsoft’s relational database service in the cloud.
  • Expanded database coverage, with advanced support and certification:
  • IBM DB2 10.1 for Linux, UNIX, and Windows, including SQL enhancements and support for Time Travel Queries
  • IBM DB2 pureScale 9.8
  • Microsoft SQL Server 2012, including SQL enhancements and protocol upgrade.
  • Expanded aboriginal database security for Oracle Advanced Security (OAS), including support for ten additional encryption algorithms.
  • Progress Software is the software industry’s leading comprehensive provider of software for connecting the world’s most censorious trade applications to data and services, running on any platform, using proven and emerging standards. Developers worldwide depend on DataDirect products to connect their applications to an unparalleled orbit of data sources using standards-based interfaces such as ODBC, JDBC and ADO.NET, XQuery and SOAP. More than 300 leading independent software vendors and thousands of enterprises rely on Progress Software to simplify and streamline data connectivity for distributed systems and to reduce the complexity of mainframe integration.

    Quotes:

    “Building tall performing applications is an craft form, and many developers and trade managers don’t realize the significant repercussion the JDBC driver has on the performance of the application. This release provides performance gains in raw accelerate and throughput coupled with continued reduction of memory and CPU usage per unit of work,” said Michael Benedict, vice president and trade line manager, Progress DataDirect. “It moreover further widens the performance edge that their drivers provide over others on the market. Enterprise’s using Progress DataDirect connectivity solutions see greater performance, scalability, and reliability—all with increased enterprise security.”

    About Progress Software Corporation

    Progress Software Corporation (NASDAQ: PRGS) simplifies the development, deployment and management of trade applications on-premise or on any Cloud, on any platform and on any device with minimal IT complexity and low total cost of ownership. Progress Software can live reached at www.progress.com or 1-781-280-4000.

    Follow Progress Software on Twitter: @ProgressSW

    Follow Progress DataDirect on Twitter: @DataDirect_News

    Progress and DataDirect are trademarks or registered trademarks of Progress Software Corporation or one of its subsidiaries or affiliates in the U.S. and other countries. Any other names contained herein may live trademarks of their respective owners.


    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 exhaust 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 mug it: it’s IBM software. It has a pretty long history. You would probably not expect 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 live 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 course to parade an execution plan. No kidding. Here is what IBM says about it:

  • Explain a statement by prefixing it with intricate end for

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

  • Display a stored intricate end using db2exfmt

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

  • There is another command line utensil (db2expln) that combines the two steps from above. Apart from the fact that this procedure is not exactly convenient, the output you snare 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 need complete the time (the operations) is presented in a pretty unreadable course (IMHO). I’m particularly thankful that complete 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 course to parade 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 cognomen suggest: it shows the execution end of the last statement that was explained (in a non-useless formatting):

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

    I’m pretty certain many DB2 users will negate that this presentation of the execution end is confusing. And that’s OK. If you are used to the course IBM presents execution plans, just stick to what you are used to. However, I’m working with complete kinds of databases and they complete live pleased a course to parade the execution end 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 import estimates and the predicate information.

    You can snare the source of the last_explained view from here or from GitHub (direct download). I’m staid about the no warranty part. Yet I’d relish to know about problems you live pleased 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 relish 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 dynamic = 'Y').

  • However, DB2 doesn’t support a where clause for indexes relish 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 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 recrudesce receiver; ELSE recrudesce NULL; quit IF; END; /

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

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

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

    This is functionally equivalent to:

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

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

    To execute this approach labor in DB2 they need two components: (1) the EXCLUDE NULL KEYS clause (no-brainer); (2) a course to map processed rows to NULL without using a user-defined office so it can live used in a DB2 index.

    Although the second one might look to live hard, it is actually very simple: DB2 can execute expression based indexing, just not on user-defined functions. The mapping they need 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. recollect 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 prevent those row from being stored in the index. Voilà: a partial index in DB2 LUW 10.5.

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

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

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

    If you live pleased a very nearby contemplate at the execution end 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 they used in the query? The DB2 optimizer was smart enough rewrite the expression as WHERE processed = 'N' AND receiver = ?. Isn’t that great? Absolutely!…except that this smartness has just ruined my attempt to exhaust the partial index. That’s what I meant when I said that CASE expressions are first class citizens in SQL: the database has a pretty cordial understanding what they execute and can transform them.

    We need a course to apply their magic NULL-mapping but they can’t exhaust functions (can’t live indexed) nor can they exhaust CASE expressions, because they are optimized away. Dead-end? Au contraire: it’s pretty smooth to befuddle an optimizer. complete you need 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 exhaust this expression in the index and the query, I snare this execution plan:

    ID | Operation | Rows | Cost 1 | recrudesce | | 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 relish in more recent Oracle versions).

    As always: just because you can execute something doesn’t spell you should. This approach is so ugly—even more macabre than the Oracle workaround—that you must desperately need a partial index to warrant this maintenance nightmare. Further it will stop working whenever the optimizer becomes smart enough to optimize +0 away. However, then you just need establish an even more macabre 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 repercussion on the B-tree’s depth when adding many or long columns to an index. This moreover 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 comprise clause is only cogent for unique indexes. It allows you to invoke the uniqueness of the key columns only—the comprise columns are just not considered when checking for uniqueness. This is the identical 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 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 measure 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 moreover 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. identical is actual for ORDER BY col DESC NULLS LAST—accepted, but doesn’t change anything. The other two combinations are not cogent at complete 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 support the offset clause, which was introduced with the very identical release of the SQL standard. Although it might contemplate relish an whimsical omission, it is in fact a very wise creep 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 live pleased code using offset that you cannot change, you can soundless activate the MySQL compatibility vector that makes limit and offset available in DB2. silly enough, combining fetch first with offset is then soundless not viable (that would live measure compliant).

    Decent Row-Value Predicates Support

    SQL row-values are multiple scalar values grouped together by braces to contour a solitary rational value. IN-lists are a common use-case:

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

    This is supported by pretty much every database. However, there is a second, hardly known use-case that has pretty 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 relish 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 snare the next few ones. For that you’d exhaust the time_stamp value of the last entry you’ve got for the bind value (?). The query then just recrudesce the rows from there on. But what if there are two rows with the very identical 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 district till where you live pleased 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 execute certain there is a well-defined order if there are equal time_stamp values. The where clause just selects what’s after the row specified by the time_stamp and id pair. It couldn’t 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 viable to apply the identical logic without row-value predicates—but that’s rather inconvenient and smooth to snare wrong.

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

    The fact that DB2 LUW has everything you need for convenient keyset pagination is moreover the understanding why there is absolutely no understanding to complain about the missing offset functionality. In fact I cerebrate that offset should not live pleased been added to the SQL measure and I’m pleased to see a vendor that resisted the press to add it because its became fragment of the standard. Sometimes the measure is wrong—just sometimes, not very often ;) I can’t change the standard—all I can execute is teaching how to execute it birthright and start campaigns relish #NoOffset.

    Figure A.2. Database/Feature Matrix

    If you relish my course of explaining things, you’ll treasure my reserve “SQL Performance Explained”.


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