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BEVERLY, MA, Oct 29, 2013 (Marketwired via COMTEX) -- Altova(R) (http://www.altova.com), creator of XMLSpy(R), the trade main XML editor, these days introduced the unencumber of edition 2014 of its MissionKit(R) computer developer equipment and server utility items. MissionKit 2014 products now include integration with the lightning speedy validation and processing capabilities of RaptorXML(R), assist for Schema 1.1, XPath/XSLT/XQuery 3.0, aid for brand new databases and an awful lot extra. New aspects in Altova server products include caching options in FlowForce(R) Server and increased performance powered by way of RaptorXML throughout the server product line.

"we are so excited to be able to extend the hyper-performance delivered with the aid of the unparalleled RaptorXML Server to builders working in their desktop tools. This functionality, together with mighty support for the very latest requirements, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, offers their purchasers the benefits of increased performance alongside reducing-facet technology guide," spoke of Alexander Falk, President and CEO for Altova. "This, coupled with the means to automate primary procedures by means of their excessive-efficiency server items, gives their consumers a distinct advantage when building and deploying functions."

a few of the brand new facets attainable in Altova MissionKit 2014 consist of:

Integration of RaptorXML: announced previous this 12 months, RaptorXML Server is high-performance server application able to validating and processing XML at lightning speeds -- whereas supplying the strictest viable standards conformance. Now the same hyper-performance engine that powers RaptorXML Server is totally built-in in several Altova MissionKit tools, together with XMLSpy, MapForce(R), and SchemaAgent(R), delivering lightning quick validation and processing of XML, XSLT, XQuery, XBRL, and greater. The third-generation validation and processing engine from Altova, RaptorXML become built from the ground as much as help the very latest of all vital XML requisites, together with XML Schema 1.1, XSLT three.0, XPath three.0, XBRL 2.1, and myriad others.

guide for Schema 1.1: XMLSpy 2014 contains important aid for XML Schema 1.1 validation and enhancing. The newest edition of the XML Schema regular, 1.1 provides new aspects aimed toward making schemas greater flexible and adaptable to company situations, equivalent to assertions, conditional types, open content material, and extra.

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assist for XML Schema 1.1 is also provided in SchemaAgent 2014, allowing users to visualize and manipulate schema relationships via its graphical interface. here's also an competencies when connecting to SchemaAgent in XMLSpy.

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aid for XPath in XMLSpy 2014 has been updated to include the newest version of the XPath suggestion. XPath three.0 is a superset of the XPath 2.0 recommendation and adds effective new performance equivalent to: dynamic characteristic cells, inline feature expressions, and help for union varieties to identify just just a few. Full assist for new capabilities and operators brought in XPath 3.0 is accessible via intelligent XPath auto-completion in textual content and Grid Views, in addition to within the XPath Analyzer window.

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As with XSLT and XPath, XMLSpy help for XQuery now additionally comprises a subset of edition three.0. builders will now have the option to edit, debug, and profile XQuery three.0 with effective syntax coloring, bracket matching, XPath auto-completion, and different intelligent enhancing features.

XQuery 3.0 is, of path, an extension of XPath and hence merits from the brand new functions and operators added in XPath three.0, such as a brand new string concatenation operator, map operator, math capabilities, sequence processing, and more -- all of which can be found in the context delicate entry helper home windows and drop down menus in the XMLSpy 2014 XQuery editor.

New Database assist:

Database-enabled MissionKit items including XMLSpy, MapForce, StyleVision(R), DatabaseSpy(R), UModel(R), and DiffDog(R), now include comprehensive guide for more recent types of up to now supported databases, in addition to aid for brand spanking new database providers:

-- Informix(R) eleven.70 -- PostgreSQL models 9.0.10/9.1.6/9.2.1 -- MySQL(R) 5.5.28 -- IBM DB2(R) types 9.5/9.7/10.1 -- Microsoft(R) SQL Server(R) 2012 -- Sybase(R) ASE (Adaptive Server enterprise) 15/15.7 -- Microsoft entry(TM) 2010/2013

New in Altova Server software 2014:

brought past in 2013, Altova's new line of pass-platform server software products comprises FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server offers finished administration, job scheduling, and safety options for the automation of primary company tactics, whereas MapForce Server and StyleVision Server present excessive-speed automation for projects designed using accepted Altova MissionKit developer equipment. RaptorXML Server is the third-generation, hyper-quickly validation and processing engine for XML and XBRL.

starting with version 2014, Altova server products are powered via RaptorXML for sooner, extra effective processing. furthermore, FlowForce Server now helps effects caching for jobs that require a long time to method, as an instance when a job requires advanced database queries or should make its personal net carrier information requests. FlowForce Server administrators can now time table execution of a time-ingesting job and cache the outcomes to steer clear of these delays. The cached data can then be offered when any person executes the job as a carrier, supplying quick results. A job that generates a customised income document for the old day could be a superb software for caching.

These and many extra points are available in the 2014 edition of MissionKit computing device developer equipment and Server application. For an entire list of new features, supported requirements, and trial downloads please seek advice from: http://www.altova.com/whatsnew.html

About Altova Altova(R) is a software business that specialize in tools to aid builders with statistics management, utility and software building, and facts integration. The creator of XMLSpy(R) and different award-winning XML, SQL and UML equipment, Altova is a key player in the utility tools business and the chief in XML answer construction tools. Altova focuses on its purchasers' needs via providing a product line that fulfills a large spectrum of necessities for utility construction groups. With over 4.5 million clients global, together with ninety one% of Fortune 500 organizations, Altova is proud to serve shoppers from one-grownup shops to the realm's greatest agencies. Altova is dedicated to offering standards-based mostly, platform-unbiased options that are powerful, not pricey and easy-to-use. centered in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. discuss with Altova on the web at: http://www.altova.com.

Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, authentic, and MetaTeam are logos and/or registered trademarks of Altova GmbH in the u.s. and/or other international locations. The names of and reference to other agencies and products mentioned herein may be the trademarks of their respective homeowners.

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revenue assistance: electronic mail touchUSA: 978-816-1600 ecu: +forty three (1) 545 5155 - 0 Media family members contact: Cynthia L. Neely PR & advertising and marketing Communications supervisor e mail touch978.816.1567

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An IBM DB2 prevalent Database "Stinger" feature Preview: Dynamic Generated Columns - web page 2 | killexams.com Real Questions and Pass4sure dumps

Featured Database Articles

Posted might also 29, 2004

with the aid of DatabaseJournal.com staff

  •   Add the id attribute to an latest non-identification column.

    in case you add the id attribute to a column, simplest new rows will receive id values. ("Stinger" will not go lower back and alter present information.)

    the following figure indicates a way to trade the CUSTID column within the TOTALREVENUE table in order that it automatically generates an identification value for all new rows. during this example, they used the control core for instance how these styles of operations may also be performed the use of a graphical consumer interface:

    besides the fact that children they are outside the scope of this text, there are a number of ALTER desk operations which are new in "Stinger." every now and then "Stinger" has to drop and reload a table with a purpose to change some if its qualities. (you can see that the manage core alerts you to this requirement within the notice field.) The respectable information is that "Stinger" will no longer simplest save you the time of having to write down the DDL to try this, nevertheless it will additionally deal with it for you.

    After "Stinger" has finished shedding, recreating, and loading the information returned into the TOTALREVENUE desk, which you could see that the CUSTID column now immediately generates its identity values:

    connect with sample insert into totalrevenue (custid, insidesales, outsidesales, totalsales, regionid) values (50, 9856.67, 2345.60, 12202.27, three) SQL0798N a value can not be certain for column "CUSTID" which is defined as GENERATED all the time. SQLSTATE=428C9 insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (9856.67, 2345.60, 12202.27, 3) insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (2345.60, 987.56, 3333.sixteen, 3) opt for * from totalrevenue CUSTID INSIDESALES OUTSIDESALES TOTALSALES REGIONID ----------- ----------- ------------ ---------- ----------- 10 5675.55 1245.forty 6920.ninety five 1 20 3456.20 1396.90 4853.10 1 30 7897.sixty five 3430.80 - 2 forty 4597.65 1930.eighty 6528.45 2 50 9856.sixty seven 2345.60 12202.27 three 55 2345.60 987.fifty six 3333.sixteen 3 6 listing(s) selected.

    note how the 2d INSERT generated a CUSTID=fifty five row; this is because they described the id column to increment by using 5, after beginning at 50.

  •   Drop a sequence from an identification column.

    you could drop a series from an identification column and change that column's habits, so that it becomes a daily (nongenerated) column. if you function this class of alteration on your desk, the column's nullability attribute isn't affected. because all identification columns have to be defined with the no longer NULL choice, this column will proceed to disallow null values after shedding the identity attribute.

    An example of shedding the id attribute from a column is shown under:

    connect with pattern insert into totalrevenue (custid, insidesales, outsidesales, totalsales, regionid) values (50, 9856.sixty seven, 2345.60, 12202.27, 3) SQL0798N a price cannot be specific for column "CUSTID" which is described as GENERATED all the time. SQLSTATE=428C9 insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (9856.sixty seven, 2345.60, 12202.27, three) insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (2345.60, 987.fifty six, 3333.sixteen, 3) select * from totalrevenue CUSTID INSIDESALES OUTSIDESALES TOTALSALES REGIONID ----------- ----------- ------------ ---------- ----------- 10 5675.55 1245.forty 6920.ninety five 1 20 3456.20 1396.90 4853.10 1 30 7897.sixty five 3430.80 - 2 forty 4597.sixty five 1930.80 6528.forty five 2 50 9856.sixty seven 2345.60 12202.27 three fifty five 2345.60 987.56 3333.sixteen three 6 list(s) selected.

    in this illustration, the primary INSERT remark fails because the CUSTID column is not nullable, even after the identity attribute is dropped. The 2d INSERT remark succeeds as a result of this column no longer has the id property linked to it, and the important thing price (60) should be explicitly specific.

  • Wrapping it Up

    As you could see, generated columns become a lot more bendy and usable in the DB2 UDB "Stinger" unencumber. There are greater alternate options that they haven't coated listed here. for example, you could also:

  • Alter an identification column's habits from GENERATED all the time to GENERATED via DEFAULT (or the reverse). This operation will now not trade any information that already exists in the desk, however it will affect new information.
  • Drop the default attribute from a user-defined default column, in order that the column defaults to the null value for all new facts.
  • Drop, or set a default, identification, or era expression in a single ALTER commentary.
  • readily use the key phrase GENERATED without the at all times clause.
  • We hope you take some time to download the DB2 UDB "Stinger" beta and experiment with probably the most new alternatives that they outlined in this article. For a broader view of the entire new facets in the DB2 UDB "Stinger" unlock, see "That Bee in My Bonnet is IBM DB2 UDB Stinger: a glance on the new services coming".

    concerning the Authors

    Paul C. Zikopoulos, BA, MBA, is with IBM Canada Ltd. Paul has written a lot of journal articles and books about DB2. Paul has co-authored the books: DB2 edition eight: The reputable ebook, DB2: The complete Reference, DB2 Fundamentals Certification for Dummies, DB2 for Dummies, and A DBA's e-book to Databases on Linux. Paul is a DB2 licensed superior Technical professional (DRDA and Cluster/EEE) and a DB2 licensed options expert (business Intelligence and Database Administration). which you could reach him at: paulz_ibm at msn.com.

    Roman B. Melnyk, PhD, is with IBM Canada Ltd., focusing on database administration, DB2 utilities, and SQL. Roman has written a lot of DB2 books, articles, and other connected substances. Roman co-authored DB2 version eight: The official book, DB2: The finished Reference, DB2 Fundamentals Certification for Dummies, and DB2 for Dummies. you could attain him at roman_b_melnyk at hotmail.com.

    Disclaimers

    The contents of this article represent these points that may additionally or might also now not be attainable within the technology preview or beta. IBM reserves the appropriate to consist of or exclude any performance outlined listed here for the "Stinger," or a subsequent free up. The views expressed in this article are those of the creator and never always these of IBM Canada Ltd. or IBM supplier.

    Please allow Javascript on your browser, before you publish the remark! Now Javascript is disabled.


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    Altova Introduces Version 2014 of Its Developer Tools and Server Software | killexams.com real questions and Pass4sure dumps

    BEVERLY, MA, Oct 29, 2013 (Marketwired via COMTEX) -- Altova(R) (http://www.altova.com), creator of XMLSpy(R), the industry leading XML editor, today announced the release of Version 2014 of its MissionKit(R) desktop developer tools and server software products. MissionKit 2014 products now include integration with the lightning fast validation and processing capabilities of RaptorXML(R), support for Schema 1.1, XPath/XSLT/XQuery 3.0, support for new databases and much more. New features in Altova server products include caching options in FlowForce(R) Server and increased performance powered by RaptorXML across the server product line.

    "We are so excited to be able to extend the hyper-performance delivered by the unparalleled RaptorXML Server to developers working in their desktop tools. This functionality, along with robust support for the very latest standards, from XML Schema 1.1 to XPath 3.0 and XSLT 3.0, provides their customers the benefits of increased performance alongside cutting-edge technology support," said Alexander Falk, President and CEO for Altova. "This, coupled with the ability to automate essential processes via their high-performance server products, gives their customers a distinct advantage when building and deploying applications."

    A few of the new features available in Altova MissionKit 2014 include:

    Integration of RaptorXML: Announced earlier this year, RaptorXML Server is high-performance server software capable of validating and processing XML at lightning speeds -- while delivering the strictest possible standards conformance. Now the same hyper-performance engine that powers RaptorXML Server is fully integrated in several Altova MissionKit tools, including XMLSpy, MapForce(R), and SchemaAgent(R), delivering lightning fast validation and processing of XML, XSLT, XQuery, XBRL, and more. The third-generation validation and processing engine from Altova, RaptorXML was built from the ground up to support the very latest of all relevant XML standards, including XML Schema 1.1, XSLT 3.0, XPath 3.0, XBRL 2.1, and myriad others.

    Support for Schema 1.1: XMLSpy 2014 includes important support for XML Schema 1.1 validation and editing. The latest version of the XML Schema standard, 1.1 adds new features aimed at making schemas more flexible and adaptable to business situations, such as assertions, conditional types, open content, and more.

    All aspects of XML Schema 1.1 are supported in XMLSpy's graphical XML Schema editor and are available in entry helpers and tabs. As always, the graphical editing paradigm of the schema editor makes it easy to understand and implement these new features.

    Support for XML Schema 1.1 is also provided in SchemaAgent 2014, allowing users to visualize and manage schema relationships via its graphical interface. This is also an advantage when connecting to SchemaAgent in XMLSpy.

    Coinciding with XML Schema 1.1 support, Altova has also released a free, online XML Schema 1.1 technology training course, which covers the fundamentals of the XML Schema language as well as the changes introduced in XML Schema 1.1.

    Support for XPath 3.0, XSLT 3.0, and XQuery 3.0:

    Support for XPath in XMLSpy 2014 has been updated to include the latest version of the XPath Recommendation. XPath 3.0 is a superset of the XPath 2.0 recommendation and adds powerful new functionality such as: dynamic function cells, inline function expressions, and support for union types to name just a few. Full support for new functions and operators added in XPath 3.0 is available through intelligent XPath auto-completion in Text and Grid Views, as well as in the XPath Analyzer window.

    Support for editing, debugging, and profiling XSLT is now available for XSLT 3.0 as well as previous versions. Please note that a subset of XSLT 3.0 is supported since the standard is still a working draft that continues to evolve. XSLT 3.0 support conforms to the W3C XSLT 3.0 Working Draft of July 10, 2012 and the XPath 3.0 Candidate Recommendation. However, support in XMLSpy now gives developers the ability to start working with this new version immediately.

    XSLT 3.0 takes advantage of the new features added in XPath 3.0. In addition, a major feature enabled by the new version is the new xsl:try / xsl:catch construct, which can be used to trap and recover from dynamic errors. Other enhancements in XSLT 3.0 include support for higher order functions and partial functions.

    As with XSLT and XPath, XMLSpy support for XQuery now also includes a subset of version 3.0. Developers will now have the option to edit, debug, and profile XQuery 3.0 with helpful syntax coloring, bracket matching, XPath auto-completion, and other intelligent editing features.

    XQuery 3.0 is, of course, an extension of XPath and therefore benefits from the new functions and operators added in XPath 3.0, such as a new string concatenation operator, map operator, math functions, sequence processing, and more -- all of which are available in the context sensitive entry helper windows and drop down menus in the XMLSpy 2014 XQuery editor.

    New Database Support:

    Database-enabled MissionKit products including XMLSpy, MapForce, StyleVision(R), DatabaseSpy(R), UModel(R), and DiffDog(R), now include complete support for newer versions of previously supported databases, as well as support for new database vendors:

    -- Informix(R) 11.70 -- PostgreSQL versions 9.0.10/9.1.6/9.2.1 -- MySQL(R) 5.5.28 -- IBM DB2(R) versions 9.5/9.7/10.1 -- Microsoft(R) SQL Server(R) 2012 -- Sybase(R) ASE (Adaptive Server Enterprise) 15/15.7 -- Microsoft Access(TM) 2010/2013

    New in Altova Server Software 2014:

    Introduced earlier in 2013, Altova's new line of cross-platform server software products includes FlowForce Server, MapForce Server, StyleVision Server, and RaptorXML Server. FlowForce Server provides comprehensive management, job scheduling, and security options for the automation of essential business processes, while MapForce Server and StyleVision Server offer high-speed automation for projects designed using familiar Altova MissionKit developer tools. RaptorXML Server is the third-generation, hyper-fast validation and processing engine for XML and XBRL.

    Starting with Version 2014, Altova server products are powered by RaptorXML for faster, more efficient processing. In addition, FlowForce Server now supports results caching for jobs that require a long time to process, for instance when a job requires complex database queries or needs to make its own Web service data requests. FlowForce Server administrators can now schedule execution of a time-consuming job and cache the results to prevent these delays. The cached data can then be provided when any user executes the job as a service, delivering instant results. A job that generates a customized sales report for the previous day would be a good application for caching.

    These and many more features are available in the 2014 Version of MissionKit desktop developer tools and Server software. For a complete list of new features, supported standards, and trial downloads please visit: http://www.altova.com/whatsnew.html

    About Altova Altova(R) is a software company specializing in tools to assist developers with data management, software and application development, and data integration. The creator of XMLSpy(R) and other award-winning XML, SQL and UML tools, Altova is a key player in the software tools industry and the leader in XML solution development tools. Altova focuses on its customers' needs by offering a product line that fulfills a broad spectrum of requirements for software development teams. With over 4.5 million users worldwide, including 91% of Fortune 500 organizations, Altova is proud to serve clients from one-person shops to the world's largest organizations. Altova is committed to delivering standards-based, platform-independent solutions that are powerful, affordable and easy-to-use. Founded in 1992, Altova is headquartered in Beverly, Massachusetts and Vienna, Austria. Visit Altova on the Web at: http://www.altova.com.

    Altova, MissionKit, XMLSpy, MapForce, FlowForce, RaptorXML, StyleVision, UModel, DatabaseSpy, DiffDog, SchemaAgent, Authentic, and MetaTeam are trademarks and/or registered trademarks of Altova GmbH in the United States and/or other countries. The names of and reference to other companies and products mentioned herein may be the trademarks of their respective owners.

    Image Available: http://www2.marketwire.com/mw/frame_mw?attachid=2442795

    Sales Information: Email Contact USA: 978-816-1600 EU: +43 (1) 545 5155 - 0 Media relations contact: Cynthia L. Neely PR & Marketing Communications Manager Email Contact 978.816.1567

    SOURCE: Altova

    (C) 2013 Marketwire L.P. All rights reserved.


    IBM Expands Analytics Offerings to Aid Companies Leverage AI | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!According to the press release, the fast new solution will be powered by the company's corresponding platforms like "Data Science Experience, Information Analyzer, Information Governance Catalogue, ...

    An IBM DB2 Universal Database "Stinger" Feature Preview: Dynamic Generated Columns - Page 2 | killexams.com real questions and Pass4sure dumps

    Featured Database Articles

    Posted May 29, 2004

    By DatabaseJournal.com Staff

  •   Add the identity attribute to an existing non-identity column.

    If you add the identity attribute to a column, only new rows will receive identity values. ("Stinger" will not go back and change existing data.)

    The following figure shows how to change the CUSTID column in the TOTALREVENUE table so that it automatically generates an identity value for all new rows. In this example, they used the Control Center to illustrate how these types of operations can be performed using a graphical user interface:

    Although they are outside the scope of this article, there are a number of ALTER TABLE operations that are new in "Stinger." Sometimes "Stinger" has to drop and reload a table in order to change some if its characteristics. (You can see that the Control Center alerts you to this requirement in the Note box.) The good news is that "Stinger" will not only save you the time of having to write the DDL to do this, but it will also take care of it for you.

    After "Stinger" has finished dropping, recreating, and loading the data back into the TOTALREVENUE table, you can see that the CUSTID column now automatically generates its identity values:

    connect to sample insert into totalrevenue (custid, insidesales, outsidesales, totalsales, regionid) values (50, 9856.67, 2345.60, 12202.27, 3) SQL0798N A value cannot be specified for column "CUSTID" which is defined as GENERATED ALWAYS. SQLSTATE=428C9 insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (9856.67, 2345.60, 12202.27, 3) insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (2345.60, 987.56, 3333.16, 3) select * from totalrevenue CUSTID INSIDESALES OUTSIDESALES TOTALSALES REGIONID ----------- ----------- ------------ ---------- ----------- 10 5675.55 1245.40 6920.95 1 20 3456.20 1396.90 4853.10 1 30 7897.65 3430.80 - 2 40 4597.65 1930.80 6528.45 2 50 9856.67 2345.60 12202.27 3 55 2345.60 987.56 3333.16 3 6 record(s) selected.

    Notice how the second INSERT generated a CUSTID=55 row; this is because they defined the identity column to increment by 5, after starting at 50.

  •   Drop a sequence from an identity column.

    You can drop a sequence from an identity column and change that column's behavior, so that it becomes a regular (nongenerated) column. If you perform this type of alteration on your table, the column's nullability attribute is not affected. Because all identity columns must be defined with the NOT NULL option, this column will continue to disallow null values after dropping the identity attribute.

    An example of dropping the identity attribute from a column is shown below:

    connect to sample insert into totalrevenue (custid, insidesales, outsidesales, totalsales, regionid) values (50, 9856.67, 2345.60, 12202.27, 3) SQL0798N A value cannot be specified for column "CUSTID" which is defined as GENERATED ALWAYS. SQLSTATE=428C9 insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (9856.67, 2345.60, 12202.27, 3) insert into totalrevenue (insidesales, outsidesales, totalsales, regionid) values (2345.60, 987.56, 3333.16, 3) select * from totalrevenue CUSTID INSIDESALES OUTSIDESALES TOTALSALES REGIONID ----------- ----------- ------------ ---------- ----------- 10 5675.55 1245.40 6920.95 1 20 3456.20 1396.90 4853.10 1 30 7897.65 3430.80 - 2 40 4597.65 1930.80 6528.45 2 50 9856.67 2345.60 12202.27 3 55 2345.60 987.56 3333.16 3 6 record(s) selected.

    In this example, the first INSERT statement fails because the CUSTID column is not nullable, even after the identity attribute is dropped. The second INSERT statement succeeds because this column no longer has the identity property associated with it, and the key value (60) must be explicitly specified.

  • Wrapping it Up

    As you can see, generated columns become a lot more flexible and usable in the DB2 UDB "Stinger" release. There are more options that they have not covered in this article. For example, you can also:

  • Alter an identity column's behavior from GENERATED ALWAYS to GENERATED BY DEFAULT (or the reverse). This operation will not change any data that already exists in the table, but it will affect new data.
  • Drop the default attribute from a user-defined default column, so that the column defaults to the null value for all new data.
  • Drop, or set a default, identity, or generation expression in a single ALTER statement.
  • Simply use the keyword GENERATED without the ALWAYS clause.
  • We hope you take the time to download the DB2 UDB "Stinger" beta and experiment with some of the new options that they outlined in this article. For a broader view of all the new features in the DB2 UDB "Stinger" release, see "That Bee in My Bonnet is IBM DB2 UDB Stinger: A look at the new functions coming".

    About the Authors

    Paul C. Zikopoulos, BA, MBA, is with IBM Canada Ltd. Paul has written numerous magazine articles and books about DB2. Paul has co-authored the books: DB2 Version 8: The Official Guide, DB2: The Complete Reference, DB2 Fundamentals Certification for Dummies, DB2 for Dummies, and A DBA's Guide to Databases on Linux. Paul is a DB2 Certified Advanced Technical Expert (DRDA and Cluster/EEE) and a DB2 Certified Solutions Expert (Business Intelligence and Database Administration). You can reach him at: paulz_ibm at msn.com.

    Roman B. Melnyk, PhD, is with IBM Canada Ltd., specializing in database administration, DB2 utilities, and SQL. Roman has written numerous DB2 books, articles, and other related materials. Roman co-authored DB2 Version 8: The Official Guide, DB2: The Complete Reference, DB2 Fundamentals Certification for Dummies, and DB2 for Dummies. You can reach him at roman_b_melnyk at hotmail.com.

    Disclaimers

    The contents of this article represent those features that may or may not be available in the technology preview or beta. IBM reserves the right to include or exclude any functionality mentioned in this article for the "Stinger," or a subsequent release. The views expressed in this article are those of the author and not necessarily those of IBM Canada Ltd. or IBM Corporation.

    Please enable Javascript in your browser, before you post the comment! Now Javascript is disabled.



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