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  • News you can use, PeopleTools gems at OpenWorld 2012

    - by PeopleTools Strategy
    Here are some of the sessions which may not have caught your eyes during your scheduling of events you would like to attend at this year's Open World! CON9183 PeopleSoft Technology Roadmap Jeff Robbins Mon, Oct 1 4:45 PM Moscone West, Room 3002/4 Jeff's session is always very well attended. Come to hear, and see, what's going to be delivered in the new release and get some thoughts on where PeopleTools and the industry is heading. CON9186 Delivering a Ground-Breaking User Interface with PeopleTools Matt Haavisto Steve Elcock Wed, Oct 3 3:30 PM Moscone West, Room 3009 This session will be wonderfully engaging for participants.  As part of our demonstration, audience members will be able to interact live and real-time with our demo using their smart phones and tablets as if you are users of the system. CON9188 A Great User Experience via PeopleSoft Applications Portal Matt Haavisto Jim Marion Pramod Agrawal Mon, Oct 1 12:15 PM Moscone West, Room 3009 This session covers not only the PeopleSoft Portal, but new features like Workcenters and Dashboards, and how they all work together to form the PeopleSoft ecosystem. CON9192 Implementing a PeopleSoft Maintenance Strategy with My Update Manager Mike Thompson Mike Krajicek Tue, Oct 2 1:15 PM Moscone West, Room 3009 The LCM development team will show Oracle's My Update Manager for PeopleSoft and how it drastically simplifies deciding what updates are required for your specific environment. CON9193 Understanding PeopleSoft Maintenance Tools & How They Fit Together Mike Krajicek Wed, Oct 3 10:15 AM Moscone West, Room 3002/4 Learn about the portfolio of maintenance tools including some of the latest enhancements such as Oracle's My Update Manager for PeopleSoft, Application Data Sets, and the PeopleSoft Test Framework, and see what they can do for you. CON9200 PeopleTools Product Team Panel Discussion Jeff Robbins Willie Suh Virad Gupta Ravi Shankar Mike Krajicek Wed, Oct 3 5:00 PM Moscone West, Room 3009 Attend this session to engage in an open discussion with key members of Oracle's PeopleTools senior management team. You will be able to ask questions, hear their thoughts, and gain their insight into the PeopleTools product direction. CON9205 Securing Your PeopleSoft Integration Infrastructure Greg Kelly Keith Collins Tue, Oct 2 10:15 AM Moscone West, Room 3011 This session, with the senior integration developer, will outline Oracle's best practices for securing your integration infrastructure so that you know your web services and REST services are as secure as the rest of your PeopleSoft environment. CON9210 Performance Tuning for the PeopleSoft Administrator Tim Bower David Kurtz Mon, Oct 1 10:45 AM Moscone West, Room 3009 Meet long time technical consultants with deep knowledge of system tuning, Tim Bower of the Center of Excellence and David Kurtz, author of "PeopleSoft for the Oracle DBA". System administrators new to tuning a PeopleSoft environment as well as seasoned experts will come away with new techniques that will help them improve the performance of their PeopleSoft system. CON9055 Advanced Management of Oracle PeopleSoft with Oracle Enterprise Manager Greg Kelly Milten Garia Greg Bouras Thurs Oct 4 12:45 PM Moscone West, Room 3009 This promises to be a really interesting session as Milten Garia from CSU discusses lessons learned during the implementation of Oracle's Enterprise Manager with the PeopleSoft plug-in across a multi campus environment. There are some surprising things about Solaris 10 and the Bourne shell. Some creative work by the Unix administrators so the well tried scripts and system replication processes were largely unaffected. CON8932 New Functional PeopleTools Capabilities for the Line of Business User Jeff Robbins Tues, Oct 2 5:00 PM Moscone West, Room 3007 Using PeopleTools 8.5x capabilities like: related content, embedded help, pivot grids, hover-over, and more, Jeff will discuss how these can deliver business value and innovation which will positively impact your business without the high costs associated with upgrading your PeopleSoft applications. Check out a more detailed list here. We look forward to meeting you all there!

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  • New Rapid Install StartCD 12.2.0.48 for EBS 12.2 Now Available

    - by Max Arderius
    A new Rapid Install startCD (Patch 18086193) for Oracle E-Business Suite Release 12.2 is now available. We recommend that all EBS customers installing or upgrading to EBS 12.2 use this latest update. The startCD updates are distributed to customers via My Oracle Support Patch which can be uncompressed on top of any previous 12.2 startCD under the main staging area. This patch replaces any previous startCDs. What's New in This Update? This new startCD version 12.2.0.48 includes important fixes for multi-node Installs, RAC, pre-install checks, platform specific issues, and upgrade scenario failures: 18703814 - QREP:122:RI:ISSUE WITH CHECKOS.CMD 18689527 - QREP:122:RI:ISSUE WITH FNDCORE.DLL SHIPPED AS PART OF R122 PACKAGE 18548485 - QREP1224:4:JAR SIGNER ISSUE DUE TO THE RI UPGRADE AUTOCONFIG CHANGES 18535812 - QREP:1220.48_4: 12.2.0 UPGRADE FILE SYSTEM LAY OUT IS AFFECTING THE DB TABLES 18507545 - WIN: UNABLE TO LAY DOWN FS PRIOR TO 12.2 UPGRADE WITHOUT AFFECTING RUNNING DB 18476041 - UNABLE TO LAY DOWN FS PRIOR TO 12.2 UPGRADE WITHOUT AFFECTING PRODUCTION DB 18459887 - R12.2 INSTALLATION FAILURE - OPMNCTL: NOT FOUND 18436053 - START CD 48_4 - ISSUES WITH TEMP SPACE CHECK 18424747 - QREP1224.3:ADD SERVER BROWSE BUTTON NOT WORKING 18421132 - *RW-50010: ERROR: - SCRIPT HAS RETURNED AN ERROR: 1 18403700 - QREP122.48:RI:UPGRADE RI PRECHECK HUNG IN SPLIT TIER APPS NODE ( NO SILENT ) 18383075 - ADD VERBOSE OPTION TO RAC VALIDATION 18363584 - UPTAKE INSTALL SCRIPTS FOR XB48_4 18336093 - QREP:122:RI:PATCH FS ADMIN SERVICE RUNNING AFTER RI UPGRADE CONFIGURE MODE 18320278 - QREP:1224.3:PLATFORM SPECIFIC SYNTAX ERRORS WITH DATE COMMAND IN DB CHECKER 18314643 - DISABLE SID=DB_NAME FOR RI UPGRADE FLOW IN RAC 18298977 - RI: EXCEPTION WHILE CLICKING RAC NODES BUTTON ON A NON-RAC SERVER 18286816 - QREP122:STARTCD48_3:TRAVERSING FROM VISION PASSW SCREEN TO PROD 18286371 - QREP122:STARTCD48_3:AMBIGUOUS MESSAGE DURING STAGE AREA CHECK ON HP 18275403 - QREP122:48:RI UPGRADE WITH EOH POST CHECKS HANGS IN SPLIT TIER DB NODE 18270631 - QREP122.48:MULTI-NODE RI USING NON-DEFAULT PASSWORDS NOT WORKING 18266046 - QREP122:48:RI NOT ALLOWING TO IGNORE THE RAC PRE-CHECK FAILURE 18242201 - UPTAKE TXK INSTALL SCRIPTS AND PLATFORMS.ZIP INTO STARTCD XB48_3 18236428 - QREP122.47:RI UPGRADE EXISTING OH FOR NON-DEFAULT APPS PASSWORD NOT WORKING 18220640 - INCONSISTENT DATABASE PORTS DURING EBS 12.2 INSTALLATION FOR STARTCD 12.2.0.47 18138796 - QREP122:47:RI 10.1.2 TECHSTACK NOT WORKING IF WE RUN RI FROM NEW STARTCD LOC 18138396 - TST1220: CONTROL FILE NAMING IN RAPID INSTALL SEEMS TO HAVE ISSUES 18124144 - IMPROVE HANDLING ERRORS FOUND IN CLUVFY LOG DURING PREINSTALL CHECKS 18111361 - VALIDATE ASM DB DATA FILES PATH AS +<DATA GROUP>/<PATH> 18102504 - QREP1220.47_5: UNZIP PANEL DOES NOT CREATE THE CORRECT STAGE 18083342 - 12.2 UPGRADE JAVA.NET.BINDEXCEPTION: CANNOT ASSIGN REQUESTED ADDRESS 18082140 - QREP122:47:RAC DB VALIDATION IS FAILS WITH EXIT STATUS IS 6 18062350 - 12.2.3 UPG: 12.2.0 INSTALLATION LOGS 18050840 - RI: UPGRADE WITH EXISTING RAC OH:SECONDARY DB NODE NAME IS BLANK 18049813 - RAC LOV DEFAULTS NOT SAVED UNLESS "SELECT" IS CLICKED 18003592 - TST1220:ADDITIONAL FREE SPACE CHECK FOR RI NEEDS TO BE CHECKED 17981471 - REMOVE ASM SPACE CHECK FROM RACVALIDATIONS.SH 17942179 - R12.2 INSTALL FAILING AT ADRUN11G.SH WITH ERRORS RW-50004 & RW-50010 17893583 - QREP1220.47:VALIDATION OF O.S IN RAPIDWIZ IN THE DB NODE CONFIGURATION SCREEN 17886258 - CLEANUP FND_NODES DURING UPGRADE FLOW 17858010 - RI POST INSTALL CHECKS (SSH VERIFICATION) STEP IS FAILING 17799807 - GEOHR: 12.2.0 - ERRORS IN RAPIDWIZ AND ADCONFIG LOGS 17786162 - QREP1223.4:RI:SERVICE_NAMES IS PRINTED AS SERVICE_NAME IN RI SCREEN 17782455 - RI: CONFIRM DEFAULT APPS PASSWORD IN SILENT MODE KICKOFF 17778130 - RI:ADMIN SERVER TO BE UP ON PRIMARY MID-TIER IN MULTI-NODE UPGRADE FS CREATION 17773989 - UN-SUPPORTED PLATFORM SHOWS 32 BIT AS HARD-CODED 17772655 - RELEVANT MESSAGE DURING THE RAPDIWIZ -TECHSTACK 17759279 - VERIFICATION PANEL DOES NOT EXPAND TECHNOLOGY STACK 17759183 - BUILDSTAGE SCRIPT MENU NEEDS TO BE ADJUSTED 17737186 - DATABASE PRE-REQ CHECK INCORRECTLY REPORTS SUCCESS ON AIX 17708082 - 12.2 INSTALLATION - OS PRE-REQUISITES CHECK 17701676 - TST122: GENERATE WRONG S_DBSID FOR PATCH FILE SYSTEM AT PHASE PREPARE 17630972 - /TMP PRE-REQ INSTALLATION CHECK 17617245 - 12.2 VISION INSTALL FAILS ON AIX 17603342 - OMCS: DB STAGING COMPLAINS WHILE MOVING IT TO FINAL LOCATION 17591171 - OMCS: DB STAGING FAILS WITH FRESH INSTALL R12.2 17588765 - CHECKER VERSION AND PLUGIN VERSION 17561747 - BUILDSTAGE.SH FAILS WITH ERROR WHEN STAGE HOSTED ON 32BIT LINUX 17539198 - RAPID INSTALL NEEDS TO IGNORE NON-REQUIRED STAGE ELEMENTS 17272808 - APPS USERS THAT HAVE DEFAULT PASSWORD AFTER 12.2 RAPID INSTALL References 12.2 Documentation Library 1581299.1 : EBS 12.2 Product Information Center 1320300.1 : Oracle E-Business Suite Release Notes, Release 12.2 1606170.1 : Oracle E-Business Suite Technology Stack and Applications DBA Release Notes for Release 12.2.3 1624423.1 : Oracle E-Business Suite Technology Stack and Applications DBA Release Notes for R12.TXK.C.Delta.4 and R12.AD.C.Delta.4 1594274.1 : Oracle E-Business Suite Release 12.2: Consolidated List of Patches and Technology Bug Fixes Related Articles Oracle E-Business Suite 12.2 Now Available startCD options to install Oracle E-Business Suite Release 12.2

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  • Resolve SRs Faster Using RDA - Find the Right Profile

    - by Daniel Mortimer
    Introduction Remote Diagnostic Agent (RDA) is an excellent command-line data collection tool that can aid troubleshooting / problem solving. The tool covers the majority of Oracle's vast product range, and its data collection capability is comprehensive. RDA collects data about the operating system and environment, including environment variable, kernel settings network o/s performance o/s patches and much more the Oracle Products installed, including patches logs and debug metrics configuration and much more In effect, RDA can obtain a snapshot of an Oracle Product and its environment. Oracle Support encourages the use of RDA because it greatly reduces service request resolution time by minimizing the number of requests from Oracle Support for more information. RDA is designed to be as unobtrusive as possible; it does not modify systems in any way. It collects useful data for Oracle Support only and a security filter is provided if required. Find and Use the Right RDA Profile One problem of any tool / utility, which covers a large range of products, is knowing how to target it against only the products you wish to troubleshoot. RDA does not have a GUI. Nor does RDA have an intelligent mechanism for detecting and automatically collecting data only for those Oracle products installed. Instead, you have to tell RDA what to do. There is a mind boggling large number of RDA data collection modules which you can configure RDA to use. It is easier, however, to setup RDA to use a "Profile". A profile consists of a list of data collection modules and predefined settings. As such profiles can be used to diagnose a problem with a particular product or combination of products. How to run RDA with a profile? ( <rda> represents the command you selected to run RDA (for example, rda.pl, rda.cmd, rda.sh, and perl rda.pl).) 1. Use the embedded spreadsheet to find the RDA profile which is appropriate for your problem / chosen Oracle Fusion Middleware products. 2. Use the following command to perform the setup <rda> -S -p <profile_name>  3. Run the data collection <rda> Run the data collection. If you want to perform setup and run in one go, then use a command such as the following: <rda> -vnSCRP -p <profile name> For more information, refer to: Remote Diagnostic Agent (RDA) 4 - Profile Manual Pages [ID 391983.1] Additional Hints / Tips: 1. Be careful! Profile names are case sensitive.2. When profiles are not used, RDA considers all existing modules by default. For example, if you have downloaded RDA for the first time and run the command <rda> -S you will see prompts for every RDA collection module many of which will be of no interest to you. Also, you may, in your haste to work through all the questions, forget to say "Yes" to the collection of data that is pertinent to your particular problem or product. Profiles avoid such tedium and help ensure the right data is collected at the first time of asking.

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  • How do you get Microsoft Access 2007 32bit to show 64bit ODBC Drivers on Windows 7 64bit?

    - by johnny
    I followed the advice here: Windows 7 64 bit odbc drivers for Ms Access Missing but it does not apply. I have Oracle drivers that are 64bit. If I click the ODBC mmc in my admin tools I can see the DSN. In my properties of the ODBC administrator, it appears to be pointing to the 64bit version of the ODBC administrator, which is good: %windir%\system32\odbcad32.exe If I use this version of the ODBC administrator, I can see the Oracle drivers and my DSN via the mmc. When I go to Microsoft Access 2007 (32bit), however, and click external data, ODBC, my 32bit ODBC administrator is opening, which does not have the driver. Can Access 2007 32bit use a 64bit driver to connect to a database (oracle in this case)? The driver works fine in all other applications, just not Access. How can I get Access to use the 64bit ODBC administrator? EDIT: For clarification, the problem is that Access is opening the 32bit version, the syswow64 version. I need it to open the native 64bit version, which it is not opening. The problem is that Microsoft Access keeps opening the 32bit version. I need it to open the 64bit version. The MMC of the ODBC administrator is pointing to the 64bit version, but Microsoft Access keeps opening the 32bit version. I need it to open the 64bit version. Thanks for help.

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  • The Future of Air Travel: Intelligence and Automation

    - by BobEvans
    Remember those white-knuckle flights through stormy weather where unexpected plunges in altitude result in near-permanent relocations of major internal organs? Perhaps there’s a better way, according to a recent Wall Street Journal article: “Pilots of a Honeywell International Inc. test plane stayed on their initial flight path, relying on the company's latest onboard radar technology to steer through the worst of the weather. The specially outfitted Boeing 757 barely shuddered as it gingerly skirted some of the most ferocious storm cells over Fort Walton Beach and then climbed above the rest in zero visibility.” Or how about the multifaceted check-in process, which might not wreak havoc on liver location but nevertheless makes you wonder if you’ve been trapped in some sort of covert psychological-stress test? Another WSJ article, called “The Self-Service Airport,” says there’s reason for hope there as well: “Airlines are laying the groundwork for the next big step in the airport experience: a trip from the curb to the plane without interacting with a single airline employee. At the airport of the near future, ‘your first interaction could be with a flight attendant,’ said Ben Minicucci, chief operating officer of Alaska Airlines, a unit of Alaska Air Group Inc.” And in the topsy-turvy world of air travel, it’s not just the passengers who’ve been experiencing bumpy rides: the airlines themselves are grappling with a range of challenges—some beyond their control, some not—that make profitability increasingly elusive in spite of heavy demand for their services. A recent piece in The Economist illustrates one of the mega-challenges confronting the airline industry via a striking set of contrasting and very large numbers: while the airlines pay $7 billion per year to third-party computerized reservation services, the airlines themselves earn a collective profit of only $3 billion per year. In that context, the anecdotes above point unmistakably to the future that airlines must pursue if they hope to be able to manage some of the factors outside of their control (e.g., weather) as well as all of those within their control (operating expenses, end-to-end visibility, safety, load optimization, etc.): more intelligence, more automation, more interconnectedness, and more real-time awareness of every facet of their operations. Those moves will benefit both passengers and the air carriers, says the WSJ piece on The Self-Service Airport: “Airlines say the advanced technology will quicken the airport experience for seasoned travelers—shaving a minute or two from the checked-baggage process alone—while freeing airline employees to focus on fliers with questions. ‘It's more about throughput with the resources you have than getting rid of humans,’ said Andrew O'Connor, director of airport solutions at Geneva-based airline IT provider SITA.” Oracle’s attempting to help airlines gain control over these challenges by blending together a range of its technologies into a solution called the Oracle Airline Data Model, which suggests the following steps: • To retain and grow their customer base, airlines need to focus on the customer experience. • To personalize and differentiate the customer experience, airlines need to effectively manage their passenger data. • The Oracle Airline Data Model can help airlines jump-start their customer-experience initiatives by consolidating passenger data into a customer data hub that drives realtime business intelligence and strategic customer insight. • Oracle’s Airline Data Model brings together multiple types of data that can jumpstart your data-warehousing project with rich out-of-the-box functionality. • Oracle’s Intelligent Warehouse for Airlines brings together the powerful capabilities of Oracle Exadata and the Oracle Airline Data Model to give you real-time strategic insights into passenger demand, revenues, sales channels and your flight network. The airline industry aside, the bullet points above offer a broad strategic outline for just about any industry because the customer experience is becoming pre-eminent in each and there is simply no way to deliver world-class customer experiences unless a company can capture, manage, and analyze all of the relevant data in real-time. I’ll leave you with two thoughts from the WSJ article about the new in-flight radar system from Honeywell: first, studies show that a single episode of serious turbulence can wrack up $150,000 in additional costs for an airline—so, it certainly behooves the carriers to gain the intelligence to avoid turbulence as much as possible. And second, it’s back to that top-priority customer-experience thing and the value that ever-increasing levels of intelligence can deliver. As the article says: “In the cabin, reporters watched screens showing the most intense parts of the nearly 10-mile wide storm, which churned some 7,000 feet below, in vibrant red and other colors. The screens also were filled with tiny symbols depicting likely locations of lightning and hail, which can damage planes and wreak havoc on the nerves of white-knuckle flyers.”  (Bob Evans is senior vice-president, communications, for Oracle.)  

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  • Merging Social Accounts: What We Learned This Weekend

    - by Mike Stiles
    Guest Post by Erika BrookesWe learned that it’s not always as easy as you think it’s going to be. While it’s widely accepted that merging multiple owned Facebook Pages that are duplicating communities and putting out the same type of content is a best practice, actually pulling it off without rattling fans is a trickier proposition. Facebook is nice and clear about how to merge Facebook Pages. Although content is not carried over, Likes from the pages you’re merging are. So you can imagine the surprise when such fans start seeing posts in their News Feed from a page they don’t believe they ever Liked. One community member accurately likened it to having your bank come under another bank’s brand name. The Facebook Page changes to the new brand, just like your debit card, emails, signs and other communication. This weekend we did our merge. The Facebook communities of Vitrue, Involver and Collective Intellect were pulled into one community, Oracle Social. Could we have handled it better? Oh yeah. Our intent was to make sure, to the fullest extent possible, that the fans of the Vitrue, Involver, and Collective Intellect brand pages were well-informed about the pending page merges in ADVANCE of the merge. While many were aware that Oracle acquired the three companies, many were not. We learned from fan feedback that we should have sent notifications MUCH earlier to make the brand Page merge crystal clear and to answer any questions. That was our bad, our responsibility and we apologize for Oracle Social showing up in your News Feed if you were not aware that it was a result of your fandom of Vitrue, Involver or Collective Intellect. It was our job to make you aware well in advance. Some felt they had never Liked the fan Pages of Vitrue, Involver or Collective Intellect, so they were understandably upset (some cultures may call it “fit to be tied”) when they found themselves fans of Oracle Social. One thing to consider is that since 2009, brands and developers have used and enjoyed free Involver tab apps like Twitter, RSS and YouTube (1.2 million of which are currently active), which included an opt-in Liking the Involver Page. Often, when Liking happens in a manner outside of the traditional clicking of a Like button on a brand Page, it’s easy to forget a Page was indeed Liked. Lastly, a few felt that their Like of the Page had been “bought.” It was not. No fans or Likes were separately purchased. Yes, the companies and the social properties of Vitrue, Involver and Collective Intellect were acquired by Oracle. Those brands are now being coordinated into the larger Oracle brand. In social media, that means those brands are being integrated into the Oracle Social community. So what now? We apologize and apply lessons learned. We learned that you not only have to communicate thoroughly and clearly, but you have to communicate well in advance of any actionable items that will affect fans. We’re more than willing to walk straight to the woodshed when we deserve it. Going forward, the social team here is dedicated to facilitating content, discussion and sharing around social for marketers, agencies, IT stakeholders and social staffs, including community managers. We anticipate Oracle Social being the premier gathering place for true social innovators as we move into social’s exciting next phase of development. Inevitably, some will still feel they are fans of the Page in error. While we hate to see you go, you may unlike the Page if it’s not relevant or useful to you. Let’s continue to contribute, participate, foster our desire to learn, and move forward together positively and constructively - both for current fans of the community and the many fans to come.

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  • Spotlight on an office – Utrecht

    - by Maria Sandu
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-ascii- mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi- mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} This time in our monthly topic, we have our spotlight on the brand new Oracle office in Utrecht, the Netherlands. About 35km south-east of Schiphol Airport and centrally located in the Netherlands, Oracle moved into the Facet building in March 2011. Facet is much more than an office building, it creates a work environment that relates to the ‘No Limits’ philosophy Oracle has in the Netherlands. “No Limits” means the building belongs to everyone. You choose the best place to work, based on the activities of that moment. To point this out, we currently have 1050 people working for Oracle Netherlands, and 623 workplaces. There is virtually no limit to where you can sit in our shiny new offices; we no longer have 'zoning', where departments own specific areas in the building, Even the Managing Director of Oracle Netherlands, does not have an office and he chooses a different working place every day. So make sure you are prepared when he is sitting next to you one day! If nobody has a fixed workplace, then you would think that finding a colleague could be tricky. Oracle uses CU (‘SeeYou’) which makes all of us easier to locate. Upon entering the building you receive a text stating where the greatest concentration of your buddies is sitting. Our internal messaging service also proves to be very valuable finding your colleagues. The heart of our building is the great RestOrant, with a very busy coffee bar. It offers an informal place for people to meet and is busy all day, not just at lunch time! The O-Bar in the atrium on the ground floor is also a very popular place to meet and drink tea or coffee and gives a breathtaking introduction to the office to any of our first time visitors. For a few minutes of relaxation during the working day, there are table tennis facilities and a Wii room on every floor! So if you are interested in joining Oracle in this Netherlands or anywhere else in EMEA, please have a look at http://campus.oracle.com for all of our latest vacancies and internships.

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  • ?12c database ????Adaptive Execution Plans ????????

    - by Liu Maclean(???)
    12c R1 ????SQL??????- Adaptive Execution Plans ????????,???????optimizer ??????(runtime)???????????????, ????????????????????? SQL???????? ????????????, ?????????????????????????????????????????????????????????????adaptive plan ????????????????????????????????????,?????subplan???????????????????? ??????, ???????? ???????????????,?????????, ?????? ???????????????”???”????, ???????????????????buffer ???????  ????????????,?????,??????????????????? ???optimizer ?????????????????????????,?????????????????????????????????????????plan???? ??12C?????????????, ???????????????????,?????? ???????????? ????????????2???: Dynamic Plans????: ???????????????????????;??????,???optimizer??????????subplans??????????????, ???????????????????,?????????????? Reoptimization????: ?Dynamic Plans????,Reoptimization??????????????????????Reoptimization??,?????????????????????????,??reoptimization????? OPTIMIZER_ADAPTIVE_REPORTING_ONLY ???? report-only????????????????TRUE,?????????report-only????,???????????????,??????????????? Dynamic Plans ??????????????,????????????????????????, ?????????????,???????????,????????????????????????????????????????? ?????????????final plan??????????????default plan, ??final plan?default plan???????,????????????? subplan ???????????????,???????????????????????? ??????,???????statistics collector ?buffer???????????statistics collector?????????????????,???????????????????????????? ?????????????????????????????????????????,??????????,?????????????? ???????????,???????buffer???? ???????????????,?????????????????????????????,??????buffer,??????final plan? ????????,???????????????????????,????????????????? ?V$SQL??????IS_RESOLVED_DYNAMIC_PLAN??????????final plan???default plan? ??????dynamic plan ???????SQL PLAN directives?????? declare cursor PLAN_DIRECTIVE_IDS is select directive_id from DBA_SQL_PLAN_DIRECTIVES; begin for z in PLAN_DIRECTIVE_IDS loop DBMS_SPD.DROP_SQL_PLAN_DIRECTIVE(z.directive_id); end loop; end; / explain plan for select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; select * from table(dbms_xplan.display()); Plan hash value: 1255158658 www.askmaclean.com ------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | ------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 4 | 128 | 7 (0)| 00:00:01 | | 1 | NESTED LOOPS | | | | | | | 2 | NESTED LOOPS | | 4 | 128 | 7 (0)| 00:00:01 | |* 3 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 (0)| 00:00:01 | |* 4 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK | 1 | | 0 (0)| 00:00:01 | | 5 | TABLE ACCESS BY INDEX ROWID| PRODUCT_INFORMATION | 1 | 20 | 1 (0)| 00:00:01 | ------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 3 - filter("O"."UNIT_PRICE"=15 AND "QUANTITY">1) 4 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") alter session set events '10053 trace name context forever,level 1'; OR alter session set events 'trace[SQL_Plan_Directive] disk highest'; select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id; ---------------------------------------------------------------+-----------------------------------+ | Id | Operation | Name | Rows | Bytes | Cost | Time | ---------------------------------------------------------------+-----------------------------------+ | 0 | SELECT STATEMENT | | | | 7 | | | 1 | HASH JOIN | | 4 | 128 | 7 | 00:00:01 | | 2 | NESTED LOOPS | | | | | | | 3 | NESTED LOOPS | | 4 | 128 | 7 | 00:00:01 | | 4 | STATISTICS COLLECTOR | | | | | | | 5 | TABLE ACCESS FULL | ORDER_ITEMS | 4 | 48 | 3 | 00:00:01 | | 6 | INDEX UNIQUE SCAN | PRODUCT_INFORMATION_PK| 1 | | 0 | | | 7 | TABLE ACCESS BY INDEX ROWID | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | | 8 | TABLE ACCESS FULL | PRODUCT_INFORMATION | 1 | 20 | 1 | 00:00:01 | ---------------------------------------------------------------+-----------------------------------+ Predicate Information: ---------------------- 1 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") 5 - filter(("O"."UNIT_PRICE"=15 AND "QUANTITY">1)) 6 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID") ===================================== SPD: BEGIN context at statement level ===================================== Stmt: ******* UNPARSED QUERY IS ******* SELECT /*+ OPT_ESTIMATE (@"SEL$1" JOIN ("P"@"SEL$1" "O"@"SEL$1") ROWS=13.000000 ) OPT_ESTIMATE (@"SEL$1" TABLE "O"@"SEL$1" ROWS=13.000000 ) */ "P"."PRODUCT_NAME" "PRODUCT_NAME" FROM "OE"."ORDER_ITEMS" "O","OE"."PRODUCT_INFORMATION" "P" WHERE "O"."UNIT_PRICE"=15 AND "O"."QUANTITY">1 AND "P"."PRODUCT_ID"="O"."PRODUCT_ID" Objects referenced in the statement PRODUCT_INFORMATION[P] 92194, type = 1 ORDER_ITEMS[O] 92197, type = 1 Objects in the hash table Hash table Object 92197, type = 1, ownerid = 6573730143572393221: No Dynamic Sampling Directives for the object Hash table Object 92194, type = 1, ownerid = 17822962561575639002: No Dynamic Sampling Directives for the object Return code in qosdInitDirCtx: ENBLD =================================== SPD: END context at statement level =================================== ======================================= SPD: BEGIN context at query block level ======================================= Query Block SEL$1 (#0) Return code in qosdSetupDirCtx4QB: NOCTX ===================================== SPD: END context at query block level ===================================== SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Inserted felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: qosdCreateFindingSingTab retCode = CREATED, fid = 2896834833840853267 SPD: qosdCreateDirCmp retCode = CREATED, fid = 2896834833840853267 SPD: Return code in qosdDSDirSetup: NOCTX, estType = TABLE SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SKIP_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = JOIN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_SCAN SPD: Return code in qosdDSDirSetup: NOCTX, estType = INDEX_FILTER SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92197, objtyp = 1, vecsize = 6, colvec = [4, 5, ], fid = 2896834833840853267 SPD: Modified felem, fid=2896834833840853267, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = YES, keep = YES SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 5618517328604016300 SPD: Modified felem, fid=5618517328604016300, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 1, objcnt = 1, obItr = 0, objid = 92194, objtyp = 1, vecsize = 2, colvec = [1, ], fid = 1142802697078608149 SPD: Modified felem, fid=1142802697078608149, ftype = 1, freason = 1, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO SPD: Generating finding id: type = 1, reason = 2, objcnt = 2, obItr = 0, objid = 92194, objtyp = 1, vecsize = 0, obItr = 1, objid = 92197, objtyp = 1, vecsize = 0, fid = 1437680122701058051 SPD: Modified felem, fid=1437680122701058051, ftype = 1, freason = 2, dtype = 0, dstate = 0, dflag = 0, ver = NO, keep = NO select * from table(dbms_xplan.display_cursor(format=>'report')) ; ????report????adaptive plan Adaptive plan: ------------- This cursor has an adaptive plan, but adaptive plans are enabled for reporting mode only.  The plan that would be executed if adaptive plans were enabled is displayed below. ------------------------------------------------------------------------------------------ | Id  | Operation          | Name                | Rows  | Bytes | Cost (%CPU)| Time     | ------------------------------------------------------------------------------------------ |   0 | SELECT STATEMENT   |                     |       |       |     7 (100)|          | |*  1 |  HASH JOIN         |                     |     4 |   128 |     7   (0)| 00:00:01 | |*  2 |   TABLE ACCESS FULL| ORDER_ITEMS         |     4 |    48 |     3   (0)| 00:00:01 | |   3 |   TABLE ACCESS FULL| PRODUCT_INFORMATION |     1 |    20 |     1   (0)| 00:00:01 | ------------------------------------------------------------------------------------------ SQL> select SQL_ID,IS_RESOLVED_DYNAMIC_PLAN,sql_text from v$SQL WHERE SQL_TEXT like '%MALCEAN%' and sql_text not like '%like%'; SQL_ID IS -------------------------- -- SQL_TEXT -------------------------------------------------------------------------------- 6ydj1bn1bng17 Y select /*MALCEAN*/ product_name from oe.order_items o, oe.product_information p where o.unit_price=15 and quantity>1 and p.product_id=o.product_id ???? explain plan for ????default plan, ??????optimizer???final plan,??V$SQL.IS_RESOLVED_DYNAMIC_PLAN???Y,????????????? DBA_SQL_PLAN_DIRECTIVES?????????????SQL PLAN DIRECTIVES, ???12c? ???MMON?????DML ???column usage??????????,????SMON??? MMON????SGA??PLAN DIRECTIVES??? ?????DBMS_SPD.flush_sql_plan_directive???? select directive_id,type,reason from DBA_SQL_PLAN_DIRECTIVES / DIRECTIVE_ID TYPE REASON ----------------------------------- -------------------------------- ----------------------------- 10321283028317893030 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 4757086536465754886 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE 16085268038103121260 DYNAMIC_SAMPLING JOIN CARDINALITY MISESTIMATE SQL> set pages 9999 SQL> set lines 300 SQL> col state format a5 SQL> col subobject_name format a11 SQL> col col_name format a11 SQL> col object_name format a13 SQL> select d.directive_id, o.object_type, o.object_name, o.subobject_name col_name, d.type, d.state, d.reason 2 from dba_sql_plan_directives d, dba_sql_plan_dir_objects o 3 where d.DIRECTIVE_ID=o.DIRECTIVE_ID 4 and o.object_name in ('ORDER_ITEMS') 5 order by d.directive_id; DIRECTIVE_ID OBJECT_TYPE OBJECT_NAME COL_NAME TYPE STATE REASON ------------ ------------ ------------- ----------- -------------------------------- ----- ------------------------------------- --- 1.8156E+19 COLUMN ORDER_ITEMS UNIT_PRICE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 TABLE ORDER_ITEMS DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1.8156E+19 COLUMN ORDER_ITEMS QUANTITY DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE DBA_SQL_PLAN_DIRECTIVES????? _BASE_OPT_DIRECTIVE ? _BASE_OPT_FINDING SELECT d.dir_own#, d.dir_id, d.f_id, decode(type, 1, 'DYNAMIC_SAMPLING', 'UNKNOWN'), decode(state, 1, 'NEW', 2, 'MISSING_STATS', 3, 'HAS_STATS', 4, 'CANDIDATE', 5, 'PERMANENT', 6, 'DISABLED', 'UNKNOWN'), decode(bitand(flags, 1), 1, 'YES', 'NO'), cast(d.created as timestamp), cast(d.last_modified as timestamp), -- Please see QOSD_DAYS_TO_UPDATE and QOSD_PLUS_SECONDS for more details -- about 6.5 cast(d.last_used as timestamp) - NUMTODSINTERVAL(6.5, 'day') FROM sys.opt_directive$ d ??dbms_spd??? SQL PLAN DIRECTIVES, SQL PLAN DIRECTIVES???retention ???53?: Package: DBMS_SPD This package provides subprograms for managing Sql Plan Directives(SPD). SPD are objects generated automatically by Oracle server. For example, if server detects that the single table cardinality estimated by optimizer is off from the actual number of rows returned when accessing the table, it will automatically create a directive to do dynamic sampling for the table. When any Sql statement referencing the table is compiled, optimizer will perform dynamic sampling for the table to get more accurate estimate. Notes: DBMSL_SPD is a invoker-rights package. The invoker requires ADMINISTER SQL MANAGEMENT OBJECT privilege for executing most of the subprograms of this package. Also the subprograms commit the current transaction (if any), perform the operation and commit it again. DBA view dba_sql_plan_directives shows all the directives created in the system and the view dba_sql_plan_dir_objects displays the objects that are included in the directives. -- Default value for SPD_RETENTION_WEEKS SPD_RETENTION_WEEKS_DEFAULT CONSTANT varchar2(4) := '53'; | STATE : NEW : Newly created directive. | : MISSING_STATS : The directive objects do not | have relevant stats. | : HAS_STATS : The objects have stats. | : PERMANENT : A permanent directive. Server | evaluated effectiveness and these | directives are useful. | | AUTO_DROP : YES : Directive will be dropped | automatically if not | used for SPD_RETENTION_WEEKS. | This is the default behavior. | NO : Directive will not be dropped | automatically. Procedure: flush_sql_plan_directive This procedure allows manually flushing the Sql Plan directives that are automatically recorded in SGA memory while executing sql statements. The information recorded in SGA are periodically flushed by oracle background processes. This procedure just provides a way to flush the information manually. ????”_optimizer_dynamic_plans”(enable dynamic plans)????????,???TRUE??DYNAMIC PLAN? ???FALSE???????????? ????,Dynamic Plan????????????Nested Loop?Hash Join???case ,????????Nested loop???????????HASH JOIN,?HASH JOIN????????????????? ????????subplan?????,???? pass?? ?join method???,?????STATISTICS COLLECTOR???cardinality?,???????HASH JOIN?????Nested Loop,????????????subplan?????access path; ???????Sales??????????????????,????HASH JOIN,??SUBPLAN??customers?????????;?????Nested Loop,???????cust_id?????Range Scan+Access by Rowid? Cardinality feedback Cardinality feedback????????11.2????,????????re-optimization???;  ???????????,Cardinality feedback?????????????????????????? ???????????????????,?????????????????,??????????Cardinality feedback????????????? ????????????????????????? ??????????????Cardinality feedback ??: ????????,???????????,??????????,????????????????selectivity ??? ????????????: ??????,?????????????????????????????????,??????????????????? ????????????????????????????????????????,?????????????????????????? ?????????,???????????????,?????????? ??????????Cardinality ????,??????join Cardinality ????????? Cardinality feedback???????cursor?,?Cursor???aged out????? SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ---------------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem | ---------------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | 20 | | | | |* 1 | HASH JOIN | | 1 | 4 | 13 |00:00:00.01 | 24 | 20 | 2061K| 2061K| 429K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 4 | 13 |00:00:00.01 | 7 | 6 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 1 | 288 |00:00:00.01 | 17 | 14 | | | | ---------------------------------------------------------------------------------------------------------------------------------------- SELECT /*+ gather_plan_statistics */ product_name FROM order_items o, product_information p WHERE o.unit_price = 15 AND quantity > 1 AND p.product_id = o.product_id Plan hash value: 1553478007 ------------------------------------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | OMem | 1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 13 |00:00:00.01 | 24 | | | | |* 1 | HASH JOIN | | 1 | 13 | 13 |00:00:00.01 | 24 | 2061K| 2061K| 413K (0)| |* 2 | TABLE ACCESS FULL| ORDER_ITEMS | 1 | 13 | 13 |00:00:00.01 | 7 | | | | | 3 | TABLE ACCESS FULL| PRODUCT_INFORMATION | 1 | 288 | 288 |00:00:00.01 | 17 | | | | ------------------------------------------------------------------------------------------------------------------------------- Note ----- - statistics feedback used for this statement SQL> select count(*) from v$SQL where SQL_ID='cz0hg2zkvd10y'; COUNT(*) ---------- 2 SQL>select sql_ID,USE_FEEDBACK_STATS FROM V$SQL_SHARED_CURSOR where USE_FEEDBACK_STATS ='Y'; SQL_ID U ------------- - cz0hg2zkvd10y Y ????????Cardinality feedback????,???????????????????????????,????????????order_items???????? ????2??????plan hash value??(??????????),?????2????child cursor??????gather_plan_statistics???actual : A-ROWS  estimate :E-ROWS????????? Automatic Re-optimization ???dynamic plan, Re-optimization???????????????  ?  ??????????????? ????????????????????????????????  ???????????,??????????????, ???????????????????? ???????????  Re-optimization??, ????????????????????? Re-optimization????dynamic plan??????????  dynamic plan????????????????????, ???????????????????? ????,??????????join order ??????????????,?????????????join order????? ??????,????????Re-optimization, ??Re-optimization ??????????????????? ?Oracle database 12c?,join statistics?????????????????????,??????????????????????Re-optimization???????????adaptive cursor sharing????? ????????????????,???????????? ????? ???????statistics collectors ????????????????????Re-optimization??????2?????????????,???????????????? ??????????????Re-optimization?????,?????????????????????? ???v$SQL??????IS_REOPTIMIZABLE?????????????????????Re-optimization,??????????Re-optimization???,?????Re-optimization ,???????reporting????? IS_REOPTIMIZABLE VARCHAR2(1) This columns shows whether the next execution matching this child cursor will trigger a reoptimization. The values are:   Y: If the next execution will trigger a reoptimization R: If the child cursor contains reoptimization information, but will not trigger reoptimization because the cursor was compiled in reporting mode N: If the child cursor has no reoptimization information ??1: select plan_table_output from table (dbms_xplan.display_cursor('gwf99gfnm0t7g',NULL,'ALLSTATS LAST')); SQL_ID  gwf99gfnm0t7g, child number 0 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 1906736282 ------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation             | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | ------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT      |                     |      1 |        |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   1 |  NESTED LOOPS         |                     |      1 |      1 |    269 |00:00:00.02 |    1336 |     18 |       |       |          | |   2 |   MERGE JOIN CARTESIAN|                     |      1 |      4 |   9135 |00:00:00.02 |      34 |     15 |       |       |          | |*  3 |    TABLE ACCESS FULL  | PRODUCT_INFORMATION |      1 |      1 |     87 |00:00:00.01 |      33 |     14 |       |       |          | |   4 |    BUFFER SORT        |                     |     87 |    105 |   9135 |00:00:00.01 |       1 |      1 |  4096 |  4096 | 4096  (0)| |   5 |     INDEX FULL SCAN   | ORDER_PK            |      1 |    105 |    105 |00:00:00.01 |       1 |      1 |       |       |          | |*  6 |   INDEX UNIQUE SCAN   | ORDER_ITEMS_UK      |   9135 |      1 |    269 |00:00:00.01 |    1302 |      3 |       |       |          | ------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    6 - access("O"."ORDER_ID"="ORDER_ID" AND "P"."PRODUCT_ID"="O"."PRODUCT_ID") SQL_ID  gwf99gfnm0t7g, child number 1 ------------------------------------- SELECT /*+ SFTEST gather_plan_statistics */ o.order_id, v.product_name FROM  orders o,   ( SELECT order_id, product_name FROM order_items o, product_information p     WHERE  p.product_id = o.product_id AND list_price < 50 AND min_price < 40  ) v WHERE o.order_id = v.order_id Plan hash value: 35479787 -------------------------------------------------------------------------------------------------------------------------------------------- | Id  | Operation              | Name                | Starts | E-Rows | A-Rows |   A-Time   | Buffers | Reads  |  OMem |  1Mem | Used-Mem | -------------------------------------------------------------------------------------------------------------------------------------------- |   0 | SELECT STATEMENT       |                     |      1 |        |    269 |00:00:00.01 |      63 |      3 |       |       |          | |   1 |  NESTED LOOPS          |                     |      1 |    269 |    269 |00:00:00.01 |      63 |      3 |       |       |          | |*  2 |   HASH JOIN            |                     |      1 |    313 |    269 |00:00:00.01 |      42 |      3 |  1321K|  1321K| 1234K (0)| |*  3 |    TABLE ACCESS FULL   | PRODUCT_INFORMATION |      1 |     87 |     87 |00:00:00.01 |      16 |      0 |       |       |          | |   4 |    INDEX FAST FULL SCAN| ORDER_ITEMS_UK      |      1 |    665 |    665 |00:00:00.01 |      26 |      3 |       |       |          | |*  5 |   INDEX UNIQUE SCAN    | ORDER_PK            |    269 |      1 |    269 |00:00:00.01 |      21 |      0 |       |       |          | -------------------------------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): ---------------------------------------------------    2 - access("P"."PRODUCT_ID"="O"."PRODUCT_ID")    3 - filter(("MIN_PRICE"<40 AND "LIST_PRICE"<50))    5 - access("O"."ORDER_ID"="ORDER_ID") Note -----    - statistics feedback used for this statement    SQL> select IS_REOPTIMIZABLE,child_number FROM V$SQL  A where A.SQL_ID='gwf99gfnm0t7g'; IS CHILD_NUMBER -- ------------ Y             0 N             1    1* select child_number,other_xml From v$SQL_PLAN  where SQL_ID='gwf99gfnm0t7g' and other_xml is not nul SQL> / CHILD_NUMBER OTHER_XML ------------ --------------------------------------------------------------------------------            1 <other_xml><info type="cardinality_feedback">yes</info><info type="db_version">1              2.1.0.1</info><info type="parse_schema"><![CDATA["OE"]]></info><info type="plan_              hash">35479787</info><info type="plan_hash_2">3382491761</info><outline_data><hi              nt><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]></hint><hint><![CDATA[OPTIMIZER_FEATUR              ES_ENABLE('12.1.0.1')]]></hint><hint><![CDATA[DB_VERSION('12.1.0.1')]]></hint><h              int><![CDATA[ALL_ROWS]]></hint><hint><![CDATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></              hint><hint><![CDATA[MERGE(@"SEL$2")]]></hint><hint><![CDATA[OUTLINE(@"SEL$1")]]>              </hint><hint><![CDATA[OUTLINE(@"SEL$2")]]></hint><hint><![CDATA[FULL(@"SEL$F5BB7              4E1" "P"@"SEL$2")]]></hint><hint><![CDATA[INDEX_FFS(@"SEL$F5BB74E1" "O"@"SEL$2"              ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PRODUCT_ID"))]]></hint><hint><![CDATA[I              NDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA[              LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$2" "O"@"SEL$1")]]></hint><hint><![C              DATA[USE_HASH(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint><hint><![CDATA[USE_NL(@"SEL$              F5BB74E1" "O"@"SEL$1")]]></hint></outline_data></other_xml>            0 <other_xml><info type="db_version">12.1.0.1</info><info type="parse_schema"><![C              DATA["OE"]]></info><info type="plan_hash">1906736282</info><info type="plan_hash              _2">2579473118</info><outline_data><hint><![CDATA[IGNORE_OPTIM_EMBEDDED_HINTS]]>              </hint><hint><![CDATA[OPTIMIZER_FEATURES_ENABLE('12.1.0.1')]]></hint><hint><![CD              ATA[DB_VERSION('12.1.0.1')]]></hint><hint><![CDATA[ALL_ROWS]]></hint><hint><![CD              ATA[OUTLINE_LEAF(@"SEL$F5BB74E1")]]></hint><hint><![CDATA[MERGE(@"SEL$2")]]></hi              nt><hint><![CDATA[OUTLINE(@"SEL$1")]]></hint><hint><![CDATA[OUTLINE(@"SEL$2")]]>              </hint><hint><![CDATA[FULL(@"SEL$F5BB74E1" "P"@"SEL$2")]]></hint><hint><![CDATA[              INDEX(@"SEL$F5BB74E1" "O"@"SEL$1" ("ORDERS"."ORDER_ID"))]]></hint><hint><![CDATA              [INDEX(@"SEL$F5BB74E1" "O"@"SEL$2" ("ORDER_ITEMS"."ORDER_ID" "ORDER_ITEMS"."PROD              UCT_ID"))]]></hint><hint><![CDATA[LEADING(@"SEL$F5BB74E1" "P"@"SEL$2" "O"@"SEL$1              " "O"@"SEL$2")]]></hint><hint><![CDATA[USE_MERGE_CARTESIAN(@"SEL$F5BB74E1" "O"@"              SEL$1")]]></hint><hint><![CDATA[USE_NL(@"SEL$F5BB74E1" "O"@"SEL$2")]]></hint></o              utline_data></other_xml> ??2: SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 0 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 -------------------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | -------------------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | 14 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 8 | 29 |00:00:00.01 | 17 | 14 | -------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OWNER OBJECT_NAME COL_NAME OBJECT TYPE STATE REASON ----------------------- ----- ------------- ----------- ------ ---------------- ----- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING NEW SINGLE TABLE CARDINALITY MISESTIMATE SELECT /*+gather_plan_statistics*/ * FROM customers WHERE cust_state_province='CA' AND country_id='US'; ELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID b74nw722wjvy3, child number 1 ------------------------------------- select /*+gather_plan_statistics*/ * from customers where CUST_STATE_PROVINCE='CA' and country_id='US' Plan hash value: 1683234692 ----------------------------------------------------------------------------------------- | Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | ----------------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 29 |00:00:00.01 | 17 | |* 1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 29 | 29 |00:00:00.01 | 17 | ----------------------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='CA' AND "COUNTRY_ID"='US')) Note ----- - cardinality feedback used for this statement SELECT SQL_ID, CHILD_NUMBER, SQL_TEXT, IS_REOPTIMIZABLE FROM V$SQL WHERE SQL_TEXT LIKE 'SELECT /*+gather_plan_statistics*/%'; SQL_ID CHILD_NUMBER SQL_TEXT I ------------- ------------ ----------- - b74nw722wjvy3 0 select /*+g Y ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' b74nw722wjvy3 1 select /*+g N ather_plan_ statistics* / * from cu stomers whe re CUST_STA TE_PROVINCE ='CA' and c ountry_id=' US' SELECT /*+gather_plan_statistics*/ CUST_EMAIL FROM CUSTOMERS WHERE CUST_STATE_PROVINCE='MA' AND COUNTRY_ID='US'; SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(FORMAT=>'ALLSTATS LAST')); PLAN_TABLE_OUTPUT ------------------------------------- SQL_ID 3tk6hj3nkcs2u, child number 0 ------------------------------------- Select /*+gather_plan_statistics*/ cust_email From customers Where cust_state_province='MA' And country_id='US' Plan hash value: 1683234692 ------------------------------------------------------------------------------- |Id | Operation | Name | Starts|E-Rows|A-Rows| A-Time |Buffers| ------------------------------------------------------------------------------- | 0 | SELECT STATEMENT | | 1 | | 2 |00:00:00.01| 16 | |*1 | TABLE ACCESS FULL| CUSTOMERS | 1 | 2| 2 |00:00:00.01| 16 | ----------------------------------------------------------------------------- Predicate Information (identified by operation id): --------------------------------------------------- 1 - filter(("CUST_STATE_PROVINCE"='MA' AND "COUNTRY_ID"='US')) Note ----- - dynamic sampling used for this statement (level=2) - 1 Sql Plan Directive used for this statement EXEC DBMS_SPD.FLUSH_SQL_PLAN_DIRECTIVE; SELECT TO_CHAR(d.DIRECTIVE_ID) dir_id, o.OWNER, o.OBJECT_NAME, o.SUBOBJECT_NAME col_name, o.OBJECT_TYPE, d.TYPE, d.STATE, d.REASON FROM DBA_SQL_PLAN_DIRECTIVES d, DBA_SQL_PLAN_DIR_OBJECTS o WHERE d.DIRECTIVE_ID=o.DIRECTIVE_ID AND o.OWNER IN ('SH') ORDER BY 1,2,3,4,5; DIR_ID OW OBJECT_NA COL_NAME OBJECT TYPE STATE REASON ------------------- -- --------- ---------- ------- --------------- ------------- ------------------------ 1484026771529551585 SH CUSTOMERS COUNTRY_ID COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE 1484026771529551585 SH CUSTOMERS CUST_STATE_ COLUMN DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY PROVINCE MISESTIMATE 1484026771529551585 SH CUSTOMERS TABLE DYNAMIC_SAMPLING MISSING_STATS SINGLE TABLE CARDINALITY MISESTIMATE

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  • DFS share Access denied for some time after workstation is booted.

    - by Jonathan
    I have 2 Win server 2008 servers acting as domain controllers and Dns servers doing DFS. All my workstations are windows xp sp3. I have a DFS share drive mapped at login via login script. After the pc is booted I get an access denied message when trying to access the mapped drive. If i go to the file share on one of the servers i can get to it fine. After about 10 minutes i can try to access the mapped drive again and it works fine. I am not sure if it is some delay happening in dfs name resolution or a gpo issue.

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  • internet access options in remote area? (read: no comcast,qwest, etc)

    - by freedrull
    Currently I am living in a fairly "remote" area, in the countryside, and cable internet access through the typical companies like comcast and qwest is just not available here. I've been trying to research other options for fast internet access. There are some small cable companies but they currently do not offer broadband access here. I thought about maybe buying a 3g phone with a data plan and doing some sort of tethering, or perhaps getting an android phone and using it as a wireless AP. This would of course depend on 3g being available here. The only other thing I can think of is some sort of satellite internet service, or doing something crazy like adapting wifi over am radio. Anyone have any ideas, at all, short of moving somewhere else?

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  • What's the difference between a wifi access point and station?

    - by Earlz
    I noticed that my (rooted) modem has some hidden modes for wifi. It has the default(and only setting without rooting) wireless access point, but it also has the settings repeater, ad-hoc, and station. What I'm really curious about is this station mode and how it differs from access point. I did a cursory search and didn't come up with any significant differences, other than that they are two distinct modes on many wireless chipsets. What is this station mode and how does it differ from access point?

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  • How to find ip address of my Asus RT-AC86U in Access Point mode?

    - by WilliamKF
    I'm using an Asus wireless router model RT-AC68U and can connect fine to the internet using it wirelessly. I configured the router to be an Access Point, but having done so, I can no longer locate the GUI to adjust the router as I have no idea what its IP Address is anymore. The router is plugged into a cable modem and router which is a model SMCD3G is a business class gateway labeled Comcast Business IP Gateway. This gateway is assigning ip addresses in the range 10.1.10.XX and I went to the web interface at 10.1.10.1 and listed the connected devices and see my laptop which is connected to the Asus access point along with a few other devices, but none of the devices listed are the Asus router (I tried all the six ip addresses listed). How can I determine the IP Address of my Asus router in access point mode so I can see the GUI interface again to control the router other than by doing a factory reset?

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  • Why does this work: Windows same local admin username and password, able to access other computer?

    - by Ankush
    I've two machines MachineA and MachineB. Both have two local accounts which have same username . Both accounts are local admin on those machines. If they have same password, I'm able to access \\MachineA\C$ from MachineB. But if I change any one password above doesn't work. And it prompts for username and password. Now if I provide MachineA\username and password, it then connects. Why isn't there a prompt for password when passwords are same? I expected passwords to be hashed with random salt, how does windows know passwords are same and authorize access? These machines are running Windows Server 2008 R2. PS. I've created following reg key to enable drive access HKLM:\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\System\LocalAccountTokenFilterPolicy to 1

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  • Ldap access lists users even if user has no rights...

    - by Patkos Csaba
    I am trying to set up a more complex Active Directory structure for some testing purposes. What I did so far: set up 2 windows (one 2008 and one 2003) to control the same domain set up an Organizational Unit (ou): Developers set up 2 child OUs: "one" and "two" each OU has it's admin: adminOne and adminTwo I denied all access to OU "two" by removing on the Security tab all the groups I don't want to access it. now, when I log in as adminOne and I try to click on OU "two" it says I don't have permissions to see the users and properties of "two" - this is perfect, it's what I want Here comes my problem: I do a LDAP query with the adminOne user on the "Developers" What I expect to happen: I expect to retrieve the users from Developer - One I expect to NOT be able to retrieve the users from Developers - Two What actually happens: ldap shows all the users, both from Developers - One and Developers - Two, even if the user should not have permissions to Developers - Two And now my question: is there any specific settings on Windows 2003 or 2008 Active Directory servers which allow or deny access over LDAP? I could not find any.

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  • When a new user is created on Centos 6, it takes a while (30 mins) before he can access his group folder

    - by Diepseun
    I created a new user and made it part of a certain group which has full access (777) to a folder. Checked the user in Samba, password the same as his Windows (XP) password, rebooted his desktop but he didn't have access to the folder. Checked the Samba group and config file and the user was defined as a member of the group. It didn't make sense and I then did something else for a while. When I tried again, without doing anything further about it, the user had access to the folder. I did restart the Samba server after my original changes. Thanks in advance.

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  • Basics of Join Predicate Pushdown in Oracle

    - by Maria Colgan
    Happy New Year to all of our readers! We hope you all had a great holiday season. We start the new year by continuing our series on Optimizer transformations. This time it is the turn of Predicate Pushdown. I would like to thank Rafi Ahmed for the content of this blog.Normally, a view cannot be joined with an index-based nested loop (i.e., index access) join, since a view, in contrast with a base table, does not have an index defined on it. A view can only be joined with other tables using three methods: hash, nested loop, and sort-merge joins. Introduction The join predicate pushdown (JPPD) transformation allows a view to be joined with index-based nested-loop join method, which may provide a more optimal alternative. In the join predicate pushdown transformation, the view remains a separate query block, but it contains the join predicate, which is pushed down from its containing query block into the view. The view thus becomes correlated and must be evaluated for each row of the outer query block. These pushed-down join predicates, once inside the view, open up new index access paths on the base tables inside the view; this allows the view to be joined with index-based nested-loop join method, thereby enabling the optimizer to select an efficient execution plan. The join predicate pushdown transformation is not always optimal. The join predicate pushed-down view becomes correlated and it must be evaluated for each outer row; if there is a large number of outer rows, the cost of evaluating the view multiple times may make the nested-loop join suboptimal, and therefore joining the view with hash or sort-merge join method may be more efficient. The decision whether to push down join predicates into a view is determined by evaluating the costs of the outer query with and without the join predicate pushdown transformation under Oracle's cost-based query transformation framework. The join predicate pushdown transformation applies to both non-mergeable views and mergeable views and to pre-defined and inline views as well as to views generated internally by the optimizer during various transformations. The following shows the types of views on which join predicate pushdown is currently supported. UNION ALL/UNION view Outer-joined view Anti-joined view Semi-joined view DISTINCT view GROUP-BY view Examples Consider query A, which has an outer-joined view V. The view cannot be merged, as it contains two tables, and the join between these two tables must be performed before the join between the view and the outer table T4. A: SELECT T4.unique1, V.unique3 FROM T_4K T4,            (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3) VWHERE T4.unique3 = V.hundred(+) AND       T4.ten = V.ten(+) AND       T4.thousand = 5; The following shows the non-default plan for query A generated by disabling join predicate pushdown. When query A undergoes join predicate pushdown, it yields query B. Note that query B is expressed in a non-standard SQL and shows an internal representation of the query. B: SELECT T4.unique1, V.unique3 FROM T_4K T4,           (SELECT T10.unique3, T10.hundred, T10.ten             FROM T_5K T5, T_10K T10             WHERE T5.unique3 = T10.unique3             AND T4.unique3 = V.hundred(+)             AND T4.ten = V.ten(+)) V WHERE T4.thousand = 5; The execution plan for query B is shown below. In the execution plan BX, note the keyword 'VIEW PUSHED PREDICATE' indicates that the view has undergone the join predicate pushdown transformation. The join predicates (shown here in red) have been moved into the view V; these join predicates open up index access paths thereby enabling index-based nested-loop join of the view. With join predicate pushdown, the cost of query A has come down from 62 to 32.  As mentioned earlier, the join predicate pushdown transformation is cost-based, and a join predicate pushed-down plan is selected only when it reduces the overall cost. Consider another example of a query C, which contains a view with the UNION ALL set operator.C: SELECT R.unique1, V.unique3 FROM T_5K R,            (SELECT T1.unique3, T2.unique1+T1.unique1             FROM T_5K T1, T_10K T2             WHERE T1.unique1 = T2.unique1             UNION ALL             SELECT T1.unique3, T2.unique2             FROM G_4K T1, T_10K T2             WHERE T1.unique1 = T2.unique1) V WHERE R.unique3 = V.unique3 and R.thousand < 1; The execution plan of query C is shown below. In the above, 'VIEW UNION ALL PUSHED PREDICATE' indicates that the UNION ALL view has undergone the join predicate pushdown transformation. As can be seen, here the join predicate has been replicated and pushed inside every branch of the UNION ALL view. The join predicates (shown here in red) open up index access paths thereby enabling index-based nested loop join of the view. Consider query D as an example of join predicate pushdown into a distinct view. We have the following cardinalities of the tables involved in query D: Sales (1,016,271), Customers (50,000), and Costs (787,766).  D: SELECT C.cust_last_name, C.cust_city FROM customers C,            (SELECT DISTINCT S.cust_id             FROM sales S, costs CT             WHERE S.prod_id = CT.prod_id and CT.unit_price > 70) V WHERE C.cust_state_province = 'CA' and C.cust_id = V.cust_id; The execution plan of query D is shown below. As shown in XD, when query D undergoes join predicate pushdown transformation, the expensive DISTINCT operator is removed and the join is converted into a semi-join; this is possible, since all the SELECT list items of the view participate in an equi-join with the outer tables. Under similar conditions, when a group-by view undergoes join predicate pushdown transformation, the expensive group-by operator can also be removed. With the join predicate pushdown transformation, the elapsed time of query D came down from 63 seconds to 5 seconds. Since distinct and group-by views are mergeable views, the cost-based transformation framework also compares the cost of merging the view with that of join predicate pushdown in selecting the most optimal execution plan. Summary We have tried to illustrate the basic ideas behind join predicate pushdown on different types of views by showing example queries that are quite simple. Oracle can handle far more complex queries and other types of views not shown here in the examples. Again many thanks to Rafi Ahmed for the content of this blog post.

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  • SOA, Empowerment and Continuous Improvement

    - by Tanu Sood
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Rick Beers is Senior Director of Product Management for Oracle Fusion Middleware. Prior to joining Oracle, Rick held a variety of executive operational positions at Corning, Inc. and Bausch & Lomb. With a professional background that includes senior management positions in manufacturing, supply chain and information technology, Rick brings a unique set of experiences to cover the impact that technology can have on business models, processes and organizations. Rick will be hosting the IT Leader Editorial on a regular basis. I met my twin at Open World. We share backgrounds, experiences and even names. I hosted an invitation-only AppAdvantage Leadership Forum with an overcapacity 85 participants: 55 customers, 15 from the Oracle AppAdvantage team and 15 Partners. It was a lively, open and positive discussion of pace layered architectures and Oracle’s AppAdvantage approach to a unified view of Applications and Middleware. Rick Hassman from Pella was one of the customer panelists and during the pre event prep, Rick and I shared backgrounds and found that we had both been plant managers and led ERP deployments prior to leading IT itself. During the panel conversation I explored this with him, discussing the unique perspectives that this provides to CIO’s. He then hit on a point that I wasn’t able to fully appreciate until a week later. First though, some background. The week after the Forum, one of the participants emailed me with the following thoughts: “I am 150% behind this concept……but we are struggling with the concept of web services and the potential use of the Oracle Service Bus technology let alone moving into using the full SOA/BPM/BAM software to extend our JD Edwards application to both integrate and support business processes”. After thinking a bit I responded this way: While I certainly appreciate the degree of change and effort involved, perhaps I could offer the following: One of the underlying principles behind Oracle AppAdvantage is that more often than not, the choice between changing a business process and invasively customizing ERP represents a Hobson's Choice: neither is acceptable. In this case the third option, moving the process out of ERP, is the only acceptable one. Providing this choice typically requires end to end, real time interoperability across applications and/or services. This real time interoperability, to be sustainable over time requires a service oriented architecture. There's just no way around this. SOA adaptation is admittedly tough at the beginning. New skills, new technology and new headaches. But, like any radically new technology, it has a learning curve that drives cost down rather dramatically over time. Tough choices to be sure, but not entirely different than we face with every major technology cycle. Good points of course, but I felt that something was missing. The points were convincing, perhaps even a bit insightful, but they didn’t get at the heart of what Oracle AppAdvantage is focused upon: how the optimization of technology, applications, processes and relationships can change the very way that organizations operate. And then I thought back to the panel discussion with Rick Hassman at Oracle OpenWorld. Rick stressed that Continuous Improvement is a fundamental business strategy at Pella. I remember Continuous Improvement well as I suspect does everyone who was in American manufacturing during the 80’s. Pioneered by W. Edwards Deming in Japan (and still known alternatively as Kaizen), Continuous Improvement sets in place the business culture that we must not become complacent with success and resistant to the ongoing need for change. Many believe that this single handedly drove the renaissance in American manufacturing through the last two decades, which had become complacent during the 70’s and early 80’s. But what exactly does this have to do with SOA? It was Rick’s next point. He drew the connection that moving those business processes that need to continually change over time out of ERP and into edge applications and services enables continuous improvement by empowering people to continually strive for better ways of doing things rather than be being bound by workflows that cannot change. A compelling connection: that SOA, and the overall Oracle AppAdvantage framework of which it is an integral part, can empower people towards continuous improvement in business processes and as a result drive business leadership and business excellence. What better a case for technology innovation?

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  • Pella Increases Online Appointment Scheduling and Rapidly Personalizes and Updates Marketing Initiatives

    - by Michael Snow
    Originally posted on Oracle Customers page.Oracle Customer: Pella CorporationLocation:  Pella, IowaIndustry: Industrial Manufacturing Employees:  7,100 Pella Corporation is an innovative leader in creating a better view for homes and businesses by designing, testing, manufacturing, and installing quality windows and doors for new construction, remodeling, and replacement applications. A family-owned company, Pella has an 88-year history of innovation and, today, is the second-largest manufacturer in the country of windows and doors, including patio, entry, and storm doors. The company has 10 manufacturing facilities in United States and window and door showrooms across the United States and Canada. In-home consultations are an important part of Pella’s sales process. Several years ago, the company launched an online appointment scheduling tool to improve customer convenience. While the functionality worked well, the company wanted to increase online conversion rates and decrease the number of incomplete, online appointment schedules. It also wanted to give its business analysts and other line-of-business personnel the ability to update the scheduling tool and interface quickly, without needing IT team intervention and recoding, to better capitalize on opportunities and personalize the interface for specific markets. Pella also looked to reduce IT complexity by selecting a system that integrated easily with its Oracle E-Business Suite Release 12.1 enterprise applications.Pella, which has a large Oracle footprint, selected Oracle WebCenter Sites as the foundation for its new, real-time appointment scheduling application. It used the solution to re-engineer the scheduling process and the information required to set up an appointment. Just a few months after launch, it is seeing improvement in the number of appointments booked online and experiencing fewer abandoned appointments during the scheduling process. As important, Pella can now quickly and easily make changes to images, video, and content displayed on the scheduling tool interface, delivering greater business agility. Previously, such changes required a developer and weeks of coding and testing. Today, a member of Pella’s business analyst team can complete the changes in hours. This capability enables Pella to personalize the Web experience for customers. For example, it can display different products or images for clients in different regions.The solution is also highly scalable. Pella is using Oracle WebCenter Sites for appointment scheduling now and plans to migrate Pella.com, its configurator tool, and dealer microsites onto the platform. Further, Pella plans to leverage the solution to optimize mobile devices. “Moving ahead, we expect to extensively leverage Oracle WebCenter Sites to gain greater flexibility in updating the Web experience, thanks to the ability to make updates quickly without developer resources. Segmentation and targeting capabilities will allow us to create a more personalized experience across both traditional and mobile platforms,” said Teri Lancaster, IT manager, customer experience applications, Pella Corporation. A word from Pella Corporation "Oracle WebCenter Sites?from the start?delivered important benefits. We’ve redesigned the online scheduling process and are seeing more potential customers completing consultation bookings online. More important, the solution opens a world of other possibilities as we plan to migrate Pella.com and our dealer microsites to the platform, and leverage it to optimize the Web experience for our mobile devices.” – Teri Lancaster, IT Manager, Customer Experience Applications, Pella Corporation Oracle Product and Services Oracle WebCenter Sites Why Oracle Pella has a long-standing relationship with Oracle. “We look to Oracle first for a solution. Our Oracle account team came to us with several solutions, and Oracle WebCenter Sites delivered the scalability, ease-of-use, flexibility, and scalability that we required for the appointment scheduling initiative and other Web projects on the horizon, including migrating Pella.com and optimizing our site for mobile platforms,”said Teri Lancaster, IT manager, customer experience applications, Pella Corporation. Implementation Process The Pella implementation team, working with Oracle partner Element Solutions, LLC, integrated the appointment setting application with Pella.com as well as the company’s Oracle E-Business Suite customer relationship management applications. Using Oracle WebCenter Site’s development tools and subversion capabilities to develop the application, the Element Solutions and Pella teams could work remotely and collaboratively, accelerating deployment. Pella went live with the new scheduling tool in just six months. Partner Oracle PartnerElement Solutions, LLC Element Solutions was instrumental at every major stage of the project, including design creation and approval, development, training, and rollout. “Element Solutions was a vital partner for our Oracle WebCenter Sites initiative. The team provided guidance, and more important, critical knowledge transfer at every stage?which equipped us to get the most out of this powerful and versatile solution. We were definitely collaboration partners,” Lancaster said. Resources Pella Corporation Upgrades Enterprise Applications to Continue to Improve Manufacturing Efficiency Thousands of Customers Successfully and Smoothly Upgrade to Oracle E-Business Suite 12.1 for New Functionality, Lower Operating Costs and Improved Shared Operations Managing the Virtual World

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  • How to Add the Windows Calculator to the Quick Access Toolbar in Microsoft Excel 2013

    - by Lori Kaufman
    Do you use the Windows Calculator to perform quick calculations while building spreadsheets in Excel? You can save time by adding the Calculator to the Quick Access Toolbar in Excel so you don’t have to leave the program to access the Calculator. To do this, click the down arrow on the right side of the Quick Access Toolbar and select More Commands from the drop-down menu. On the Quick Access Toolbar screen on the Excel Options dialog box, select Commands Not in the Ribbon from the Choose commands from drop-down list. Scroll down in the long list and select Calculator. Click Add to add the Calculator to the Quick Access Toolbar. Click OK to accept the change and close the Excel Options dialog box. You’ll see a Calculator icon on the Quick Access Toolbar. When you move your mouse over the icon, a hint displays saying “Custom.” Despite the label, when you click the icon, the Windows Calculator opens. The same procedure works for adding the Windows Calculator to Excel 2010, as well.     

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  • Parner Webcast - Innovations in Products Program

    - by Richard Lefebvre
    We are pleased to invite you to join the Innovations in Products –webcast. Innovations in Products will present Oracle Applications' Product's new functions and features including sales positioning. The key objectives of these webcasts are to inspire System Integrator's implementation personnel to conduct successful after sales in their Customer projects. Innovations in Products will be presented on the 1st Monday of each quarter after the billable day (4:00 to 5:00 PM CET). The webcast is intended for System Integrator's Implementation Certified Specialists but Innovations in Products is open for other interested Oracle Applications system Integrator's personnel as well. At first, two Oracle representatives will discuss Oracle's contribution to Partners. Then you will see product breakout session followed by Q&A with Oracle Experts. Each session will last for maximum 1 hour. A Q&A document covering all questions and answers will be made available after the webcast. What are the Benefits for partners? Find out how Innovations in Products helps you to improve your after sales Discover new functions and features so you can enrich your Customers's solution Learn more about Oracle Applications products, especially sales positioning Hear crucial questions raised by colleague alike, learn from their interest Engage and present your questions to subject experts Be inspired of the richness of Oracle Application portfolio – for your and your customer’s benefit Note: Should you already be familiar with a specific Product, then choose another one. Doing so you would expand your knowledge of the overall Applications portfolio. Some presentations contain product demonstration, although these presentations are not intended to be extremely detailed technical presentations. Note: At the latter part of this email you have also 17 links into the recent Applications Products presentations and 6 links into the Public Sector Value Proposition presentations that were presented in Innovations in Industries -program. Product breakout sessions: Topics Speaker To Register Fusion Applications Technology and Extensibility: A next-generation platform that adapts to client needs. Matthew Johnson, Sr. Director, SCM Product Development, EMEA CLICK HERE Fusion Applications - Transforming your Back-Office Accounting Function: Changing how people work in back office functions to drive value add Liam Nolan, Director, ERP Product Development, EMEA CLICK HERE Fusion HCM & Talent Overview & Extensibility: A more in-depth look into a personalized HCM solution Synco Jonkeren, Vice-President HCM Product Development & Management, EMEA CLICK HERE Fusion HCM Compensation Planning: Compensate To Compete Rosie Warner, Director, HCM Sales Development CLICK HERE Enterprise PLM for the Product Value Chain: Oracle Enterprise PLM offers Industry specific solutions that cover the Product Value Chain Ulf Köster, Sales Development Leader Enterprise PLM, Oracle Western Europe CLICK HERE Oracle's Asset Management and Maintenance Solution: What you need to know to successfully implement Oracle Asset Management solutions within Oracle Installed Base Philip Carey, Asset Management and Maintenance Solution Specialist CLICK HERE For more details please visit Innovations in Products and other breakout sessions on OPN page. Delivery Format Innovations in Products –program is a series of FREE prerecorded Applications product presentations followed by Q&A. It will be delivered over the Web. Participants have the opportunity to submit questions during the web cast via chat and subject matter experts will provide verbal answers live. Innovations in Products consists of several parallel prerecorded product breakout sessions, each lasting for max. 1 hour. At first, two Oracle representatives will discuss Oracle’s contribution to Partners. Then you’ll see the product breakout sessions followed by Q&A with Oracle Experts. A Q&A document covering all questions and answers will be made available after the webcast. You can also see Innovations in Products afterwards as its content will be available online for the next 6-12 months. The next Innovations in Products web casts will be presented as follows: July 2nd 2012 October 1st 2012 January 14th 2013 April 8th 2013. Note: Depending on local network bandwidth please allow some seconds time the presentations to download. You might want to refresh your screen by pressing F5. Duration Maximum 1 hour For further information please contact me Markku Rouhiainen. Recent Innovations in Products presentations Applications Products presented on April the 2nd, 2012 Speaker To Register Fusion CRM: Effective, Efficient and Easy James Penfold , Senior Director, Applications Product Development and Product Management CLICK HERE Fusion HCM: Talent management overview performance, goals, talent review Jaime Losantos Viñolas, Director, HCM Sales Development CLICK HERE Distributed Order Management - Fusion SCM Solution Vikram K Singla, Business Development Director, Supply Chain Management Applications, UK CLICK HERE Oracle Transportation Management Dominic Regan, Senior Director Oracle Transportation Management EMEA CLICK HERE Oracle Value Chain Planning: Demantra Sales & Operation Planning and Demantra Demand Management Lionel Albert, Senior Director Value Chain Planning, EMEA CLICK HERE Oracle CX (Customer Experience) - formerly CEM: Powering Great Customer Experiences Maria Ramirez , CRM Presales Consultant, EPC CLICK HERE EPM 11.1.2.2 Overview Nicholas Cox , EMEA Sales Development Director - Enterprise Performance Management CLICK HERE Oracle Hyperion Profitability and Cost Management, 11.1.2.1 Daniela Lazar , Senior EPM Sales Consultant, EPC CLICK HERE January the 16th 2012 Speaker To Register CRM / ATG: Best-in-Class CRM & Commerce Maria Ramirez , Associate CRM Presales Consultant, EPC CLICK HERE CRM / Automate Business Rules for Maximum Efficiency with OPA (Oracle Policy Automation) Marco Nilo, Associate CRM Presales Consultant, EPC CLICK HERE CRM / InQuira Toby Baker, Principal Sales Consultant, CRM Product Specialist Team CLICK HERE EPM / Business Intelligence Foundation Suite – Sales and Product Updates Liviu Nitescu, Senior BI Sales Consultant, EPC CLICK HERE EPM / Hyperion Planning 11.1.2.1 - Sales & Product Updates Andreea Voinea, EPM Sales Consultant, EPC CLICK HERE ERP / JDE EnterpriseOne Fulfillment Management Overview Mirela Andreea Nasta , ERP Presales Consultant, EPC CLICK HERE ERP / Spotlights on iExpenses Elena Nita ,ERP Presales Consultant, EPC CLICK HERE MDM / Master Data Management Martin Boyd , Senior Director Product Strategy CLICK HERE Product break through session Fusion Applications Human Capital Management Rosie Warner , Director, HCM Sales Development CLICK HERE Recent Innovations in Industries Value Proposition presentations January the 16th 2012 Speaker To Register Process Modernisation Iemke Idsingh Public Sector Solutions Director CLICK HERE Shared Services Ann Smith Business Development Director, Shared Services CLICK HERE Strengthening Financial Discipline Whilst Delivering Cashable Savings Philippa Headley UK Sales Development Director Public Sector - EPM Solutions CLICK HERE Social Welfare Industry Solutions Christian Wernberg-Tougaard Industry Director - Social Welfare CLICK HERE Police Industry Solutions Jeff Penrose Solution Sales Director CLICK HERE Tax and Revenue Management Industry Solutions Andre van der Post Global Director - Tax Solutions and Strategy CLICK HERE  

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  • Convert ddply {plyr} to Oracle R Enterprise, or use with Embedded R Execution

    - by Mark Hornick
    The plyr package contains a set of tools for partitioning a problem into smaller sub-problems that can be more easily processed. One function within {plyr} is ddply, which allows you to specify subsets of a data.frame and then apply a function to each subset. The result is gathered into a single data.frame. Such a capability is very convenient. The function ddply also has a parallel option that if TRUE, will apply the function in parallel, using the backend provided by foreach. This type of functionality is available through Oracle R Enterprise using the ore.groupApply function. In this blog post, we show a few examples from Sean Anderson's "A quick introduction to plyr" to illustrate the correpsonding functionality using ore.groupApply. To get started, we'll create a demo data set and load the plyr package. set.seed(1) d <- data.frame(year = rep(2000:2014, each = 3),         count = round(runif(45, 0, 20))) dim(d) library(plyr) This first example takes the data frame, partitions it by year, and calculates the coefficient of variation of the count, returning a data frame. # Example 1 res <- ddply(d, "year", function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(cv.count = cv)   }) To illustrate the equivalent functionality in Oracle R Enterprise, using embedded R execution, we use the ore.groupApply function on the same data, but pushed to the database, creating an ore.frame. The function ore.push creates a temporary table in the database, returning a proxy object, the ore.frame. D <- ore.push(d) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   sd.count <- sd(x$count)   cv <- sd.count/mean.count   data.frame(year=x$year[1], cv.count = cv)   }, FUN.VALUE=data.frame(year=1, cv.count=1)) You'll notice the similarities in the first three arguments. With ore.groupApply, we augment the function to return the specific data.frame we want. We also specify the argument FUN.VALUE, which describes the resulting data.frame. From our previous blog posts, you may recall that by default, ore.groupApply returns an ore.list containing the results of each function invocation. To get a data.frame, we specify the structure of the result. The results in both cases are the same, however the ore.groupApply result is an ore.frame. In this case the data stays in the database until it's actually required. This can result in significant memory and time savings whe data is large. R> class(res) [1] "ore.frame" attr(,"package") [1] "OREbase" R> head(res)    year cv.count 1 2000 0.3984848 2 2001 0.6062178 3 2002 0.2309401 4 2003 0.5773503 5 2004 0.3069680 6 2005 0.3431743 To make the ore.groupApply execute in parallel, you can specify the argument parallel with either TRUE, to use default database parallelism, or to a specific number, which serves as a hint to the database as to how many parallel R engines should be used. The next ddply example uses the summarise function, which creates a new data.frame. In ore.groupApply, the year column is passed in with the data. Since no automatic creation of columns takes place, we explicitly set the year column in the data.frame result to the value of the first row, since all rows received by the function have the same year. # Example 2 ddply(d, "year", summarise, mean.count = mean(count)) res <- ore.groupApply (D, D$year, function(x) {   mean.count <- mean(x$count)   data.frame(year=x$year[1], mean.count = mean.count)   }, FUN.VALUE=data.frame(year=1, mean.count=1)) R> head(res)    year mean.count 1 2000 7.666667 2 2001 13.333333 3 2002 15.000000 4 2003 3.000000 5 2004 12.333333 6 2005 14.666667 Example 3 uses the transform function with ddply, which modifies the existing data.frame. With ore.groupApply, we again construct the data.frame explicilty, which is returned as an ore.frame. # Example 3 ddply(d, "year", transform, total.count = sum(count)) res <- ore.groupApply (D, D$year, function(x) {   total.count <- sum(x$count)   data.frame(year=x$year[1], count=x$count, total.count = total.count)   }, FUN.VALUE=data.frame(year=1, count=1, total.count=1)) > head(res)    year count total.count 1 2000 5 23 2 2000 7 23 3 2000 11 23 4 2001 18 40 5 2001 4 40 6 2001 18 40 In Example 4, the mutate function with ddply enables you to define new columns that build on columns just defined. Since the construction of the data.frame using ore.groupApply is explicit, you always have complete control over when and how to use columns. # Example 4 ddply(d, "year", mutate, mu = mean(count), sigma = sd(count),       cv = sigma/mu) res <- ore.groupApply (D, D$year, function(x) {   mu <- mean(x$count)   sigma <- sd(x$count)   cv <- sigma/mu   data.frame(year=x$year[1], count=x$count, mu=mu, sigma=sigma, cv=cv)   }, FUN.VALUE=data.frame(year=1, count=1, mu=1,sigma=1,cv=1)) R> head(res)    year count mu sigma cv 1 2000 5 7.666667 3.055050 0.3984848 2 2000 7 7.666667 3.055050 0.3984848 3 2000 11 7.666667 3.055050 0.3984848 4 2001 18 13.333333 8.082904 0.6062178 5 2001 4 13.333333 8.082904 0.6062178 6 2001 18 13.333333 8.082904 0.6062178 In Example 5, ddply is used to partition data on multiple columns before constructing the result. Realizing this with ore.groupApply involves creating an index column out of the concatenation of the columns used for partitioning. This example also allows us to illustrate using the ORE transparency layer to subset the data. # Example 5 baseball.dat <- subset(baseball, year > 2000) # data from the plyr package x <- ddply(baseball.dat, c("year", "team"), summarize,            homeruns = sum(hr)) We first push the data set to the database to get an ore.frame. We then add the composite column and perform the subset, using the transparency layer. Since the results from database execution are unordered, we will explicitly sort these results and view the first 6 rows. BB.DAT <- ore.push(baseball) BB.DAT$index <- with(BB.DAT, paste(year, team, sep="+")) BB.DAT2 <- subset(BB.DAT, year > 2000) X <- ore.groupApply (BB.DAT2, BB.DAT2$index, function(x) {   data.frame(year=x$year[1], team=x$team[1], homeruns=sum(x$hr))   }, FUN.VALUE=data.frame(year=1, team="A", homeruns=1), parallel=FALSE) res <- ore.sort(X, by=c("year","team")) R> head(res)    year team homeruns 1 2001 ANA 4 2 2001 ARI 155 3 2001 ATL 63 4 2001 BAL 58 5 2001 BOS 77 6 2001 CHA 63 Our next example is derived from the ggplot function documentation. This illustrates the use of ddply within using the ggplot2 package. We first create a data.frame with demo data and use ddply to create some statistics for each group (gp). We then use ggplot to produce the graph. We can take this same code, push the data.frame df to the database and invoke this on the database server. The graph will be returned to the client window, as depicted below. # Example 6 with ggplot2 library(ggplot2) df <- data.frame(gp = factor(rep(letters[1:3], each = 10)),                  y = rnorm(30)) # Compute sample mean and standard deviation in each group library(plyr) ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y)) # Set up a skeleton ggplot object and add layers: ggplot() +   geom_point(data = df, aes(x = gp, y = y)) +   geom_point(data = ds, aes(x = gp, y = mean),              colour = 'red', size = 3) +   geom_errorbar(data = ds, aes(x = gp, y = mean,                                ymin = mean - sd, ymax = mean + sd),              colour = 'red', width = 0.4) DF <- ore.push(df) ore.tableApply(DF, function(df) {   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4) }) But let's take this one step further. Suppose we wanted to produce multiple graphs, partitioned on some index column. We replicate the data three times and add some noise to the y values, just to make the graphs a little different. We also create an index column to form our three partitions. Note that we've also specified that this should be executed in parallel, allowing Oracle Database to control and manage the server-side R engines. The result of ore.groupApply is an ore.list that contains the three graphs. Each graph can be viewed by printing the list element. df2 <- rbind(df,df,df) df2$y <- df2$y + rnorm(nrow(df2)) df2$index <- c(rep(1,300), rep(2,300), rep(3,300)) DF2 <- ore.push(df2) res <- ore.groupApply(DF2, DF2$index, function(df) {   df <- df[,1:2]   library(ggplot2)   library(plyr)   ds <- ddply(df, .(gp), summarise, mean = mean(y), sd = sd(y))   ggplot() +     geom_point(data = df, aes(x = gp, y = y)) +     geom_point(data = ds, aes(x = gp, y = mean),                colour = 'red', size = 3) +     geom_errorbar(data = ds, aes(x = gp, y = mean,                                  ymin = mean - sd, ymax = mean + sd),                   colour = 'red', width = 0.4)   }, parallel=TRUE) res[[1]] res[[2]] res[[3]] To recap, we've illustrated how various uses of ddply from the plyr package can be realized in ore.groupApply, which affords the user explicit control over the contents of the data.frame result in a straightforward manner. We've also highlighted how ddply can be used within an ore.groupApply call.

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  • Infiniband: a highperformance network fabric - Part I

    - by Karoly Vegh
    Introduction:At the OpenWorld this year I managed to chat with interesting people again - one of them answering Infiniband deepdive questions with ease by coffee turned out to be one of Oracle's IB engineers, Ted Kim, who actually actively participates in the Infiniband Trade Association and integrates Oracle solutions with this highspeed network. This is why I love attending OOW. He granted me an hour of his time to talk about IB. This post is mostly based on that tech interview.Start of the actual post: Traditionally datatransfer between servers and storage elements happens in networks with up to 10 gigabit/seconds or in SANs with up to 8 gbps fiberchannel connections. Happens. Well, data rather trickles through.But nowadays data amounts grow well over the TeraByte order of magnitude, and multisocket/multicore/multithread Servers hunger data that these transfer technologies just can't deliver fast enough, causing all CPUs of this world do one thing at the same speed - waiting for data. And once again, I/O is the bottleneck in computing. FC and Ethernet can't keep up. We have half-TB SSDs, dozens of TB RAM to store data to be modified in, but can't transfer it. Can't backup fast enough, can't replicate fast enough, can't synchronize fast enough, can't load fast enough. The bad news is, everyone is used to this, like back in the '80s everyone was used to start compile jobs and go for a coffee. Or on vacation. The good news is, there's an alternative. Not so-called "bleeding-edge" 8gbps, but (as of now) 56. Not layers of overhead, but low latency. And it is available now. It has been for a while, actually. Welcome to the world of Infiniband. Short history:Infiniband was born as a result of joint efforts of HPAQ, IBM, Intel, Sun and Microsoft. They planned to implement a next-generation I/O fabric, in the 90s. In the 2000s Infiniband (from now on: IB) was quite popular in the high-performance computing field, powering most of the top500 supercomputers. Then in the middle of the decade, Oracle realized its potential and used it as an interconnect backbone for the first Database Machine, the first Exadata. Since then, IB has been booming, Oracle utilizes and supports it in a large set of its HW products, it is the backbone of the famous Engineered Systems: Exadata, SPARC SuperCluster, Exalogic, OVCA and even the new DB backup/recovery box. You can also use it to make servers talk highspeed IP to eachother, or to a ZFS Storage Appliance. Following Oracle's lead, even IBM has jumped the wagon, and leverages IB in its PureFlex systems, their first InfiniBand Machines.IB Structural Overview: If you want to use IB in your servers, the first thing you will need is PCI cards, in IB terms Host Channel Adapters, or HCAs. Just like NICs for Ethernet, or HBAs for FC. In these you plug an IB cable, going to an IB switch providing connection to other IB HCAs. Of course you're going to need drivers for those in your OS. Yes, these are long-available for Solaris and Linux. Now, what protocols can you talk over IB? There's a range of choices. See, IB isn't accepting package loss like Ethernet does, and hence doesn't need to rely on TCP/IP as a workaround for resends. That is, you still can run IP over IB (IPoIB), and that is used in various cases for control functionality, but the datatransfer can run over more efficient protocols - like native IB. About PCI connectivity: IB cards, as you see are fast. They bring low latency, which is just as important as their bandwidth. Current IB cards run at 56 gbit/s. That is slightly more than double of the capacity of a PCI Gen2 slot (of ~25 gbit/s). And IB cards are equipped usually with two ports - that is, altogether you'd need 112 gbit/s PCI slots, to be able to utilize FDR IB cards in an active-active fashion. PCI Gen3 slots provide you with around ~50gbps. This is why the most IB cards are configured in an active-standby way if both ports are used. Once again the PCI slot is the bottleneck. Anyway, the new Oracle servers are equipped with Gen3 PCI slots, an the new IB HCAs support those too. Oracle utilizes the QDR HCAs, running at 40gbp/s brutto, which translates to a 32gbp/s net traffic due to the 10:8 signal-to-data information ratio. Consolidation techniques: Technology never stops to evolve. Mellanox is working on the 100 gbps (EDR) version already, which will be optical, since signal technology doesn't allow EDR to be copper. Also, I hear you say "100gbps? I will never use/need that much". Are you sure? Have you considered consolidation scenarios, where (for example with Oracle Virtual Network) you could consolidate your platform to a high densitiy virtualized solution providing many virtual 10gbps interfaces through that 100gbps? Technology never stops to evolve. I still remember when a 10mbps network was impressively fast. Back in those days, 16MB of RAM was a lot. Now we usually run servers with around 100.000 times more RAM. If network infrastrucure speends could grow as fast as main memory capacities, we'd have a different landscape now :) You can utilize SRIOV as well for consolidation. That is, if you run LDoms (aka Oracle VM Server for SPARC) you do not have to add physical IB cards to all your guest LDoms, and you do not need to run VIO devices through the hypervisor either (avoiding overhead). You can enable SRIOV on those IB cards, which practically virtualizes the PCI bus, and you can dedicate Physical- and Virtual Functions of the virtualized HCAs as native, physical HW devices to your guests. See Raghuram's excellent post explaining SRIOV. SRIOV for IB is supported since LDoms 3.1.  This post is getting lengthier, so I will rename it to Part I, and continue it in a second post. 

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  • Reflections from the Young Prisms

    - by Oracle OpenWorld Blog Team
     By Karen Shamban The Young Prisms began their musical journey in San Francisco, and it's here they return to bring their unique sound to the Oracle OpenWorld Music Festival.  We asked them to tell us their thoughts on music, performing, and what they like in an audience.  Here's what they had to say: Q. What do you like best about performing in front of a live audience?A. There are a lot of things to love about playing in front of people. The best part is definitely the nights when the energy the audience brings shows through. Although it always differs from city to city and person to person, when you play to a full house and people are really getting into it, it's like no other feeling.Q. How do you use technology in creating and delivering your music?A. Well, we actually use a lot more electronic components than people realize. Pretty much every string instrument played either live or on recording has been filtered through numerous electronic effects. Matt uses somewhere around 12 or 14 every time we play live. Giovanni has six. Most of our writing and demoing is done with drum sequencers and samplers too, so it's safe to say we use technology to our advantage in the writing process. Live is a bit different, since we keep it to the basics with guitars and acoustic drums. We also tend to use projections when we play live, so technology helps us do that fairly easily as well.Q. Do you prefer smaller, intimate venues or larger, louder ones?  Why?A. Couldn’t say we have a real preference in venue size. I mean, its always great to get to play through a massive killer sound system, but small venues when packed full are equally as special if not more so, because of the intimacy of it. Some of my favorite shows I've seen as an audience member/ fan have been at the smaller venues in San Francisco.Q. What about your fans surprises you?A. Sometimes the older guys are a surprise. We've played shows where there are more older guys in their 40s and 50s, who come and stare and take notes at our effects pedals. Then there are kids our age or in their 20s. Sometimes it's surprising to think that the older guys relate to what we're doing more than our peers and friends in our age group.Q. What about your live act surprises your fans?A. I think people are often surprised by how shy we can be. It feels like people expect us to be really rowdy and throw things and make really loud noises and get really aggressive on stage because some of the sounds we use can have an abrasive element to them. People expect Matt to have some kind of Kurt Cobain attitude, which he doesn’t at all. So it seems it surprises people to see musicians playing loud and noisy songs in their early and mid 20s being fairly tame and calm on stage.Q. There are going to be a lot of technical people (you could call them geeks) in the Oracle crowd -- what are they going to love about your performance?A. Hopefully most of them are pedal nerds like we are and like the previously mentioned “older dude crowd.” Besides that I hope they’d be into the projections and group of songs we're going to play for them.Q. What's new and different in the music you're making today, versus a year or two ago?A. I'd say there is more focus on the songwriting now and less of the noise today than last year. I think it's pretty evident on the new record compared to the last two. On the first two records we made as YP, we had another guitar player and songwriter who no longer plays with us. So the process in which we develop songs is different as well.Q. Have you been on tour recently? If so, what do you like about touring, and what do you dislike?A. Touring is amazing. Some people might tell you different if they've been doing it for what they'd call too long, but for us it's really a great chance to play for people who care about the music we're making and also to see and explore the world. Getting to visit so many different cities and explore so many different cultures is amazing. Of course we love getting into cultural foods too. Stefanie is a fashion geek so getting to go to New York as often as we do as well as getting to play in London and Paris is always especially fun for her.Q. Ever think about playing another kind of music? If so, what, and why?A. Never really thought about wanting to do anything drastically different. I think the style of music we play has a lot to do with the stuff we have been listening to both growing up and now. It wasn’t really a conscious decision to make sure it was a certain sound, so I'm not sure we've ever thought about doing a way different genre or whatever like electronic music or country. Although there have been times we've had conversations where we discuss possibly doing quiet sets or using the string synth sounds.Q. What are the top three things people should know about your music?A1. We like noise.A2. We use ambience and atmosphere as much as as we can.A3. Yes, the vocals are supposed to be mixed in with the guitars. Get more info: Oracle OpenWorld Music Festival Young Prisms

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  • About Solaris 11 and UltraSPARC II/III/IV/IV+

    - by nospam(at)example.com (Joerg Moellenkamp)
    I know that I will get the usual amount of comments like "Oh, Jörg ? you can't be negative about Oracle" for this article. However as usual I want to explain the logic behind my reasoning. Yes ? I know that there is a lot of UltraSPARC III, IV and IV+ gear out there. But there are some very basic questions: Does your application you are currently running on this gear stops running just because you can't run Solaris 11 on it? What is the need to upgrade a system already in production to Solaris 11? I have the impression, that some people think that the systems get useless in the moment Oracle releases Solaris 11. I know that Sun sold UltraSPARC IV+ systems until 2009. The Sun SF490 introduced 2004 for example, that was a Sun SF480 with UltraSPARC IV and later with UltraSPARC IV+. And yes, Sun made some speedbumps. At that time the systems of the UltraSPARC III to IV+ generations were supported on Solaris 8, on Solaris 9 and on Solaris 10. However from my perspective we sold them to customers, which weren't able to migrate to Solaris 10 because they used applications not supported on Solaris 9 or who just didn't wanted to migrate to Solaris 10. Believe it or not ? I personally know two customers that migrated core systems to Solaris 10 in ? well 2008/9. This was especially true when the M3000 was announced in 2008 when it closed the darned single socket gap. It may be different at you site, however that's what I remember about that time when talking with customers. At first: Just because there is no Solaris 11 for UltraSPARC III, IV and IV+, it doesn't mean that Solaris 10 will go away anytime soon. I just want to point you to "Expect Lifetime Support - Hardware and Operating Systems". It states about Premier Support:Maintenance and software upgrades are included for Oracle operating systems and Oracle VM for a minimum of eight years from the general availability date.GA for Solaris 10 was in 2005. Plus 8 years ? 2013 ? at minimum. Then you can still opt for 3 years of "Extended Support" ? 2016 ? at minimum. 2016 your systems purchased in 2009 are 7 years old. Even on systems purchased at the very end of the lifetime of that system generation. That are the rules as written in the linked document. I said minimum The actual dates are even further in the future: Premier Support for Solaris 10 ends in 2015, Extended support ends 2018. Sustaining support ? indefinite. You will find this in the document "Oracle Lifetime Support Policy: Oracle Hardware and Operating Systems".So I don't understand when some people write, that Oracle is less protective about hardware investments than Sun. And for hardware it's the same as with Sun: Service 5 years after EOL as part of Premier Support. I would like to write about a different perspective as well: I have to be a little cautious here, because this is going in the roadmap area, so I will mention the public sources here: John Fowler told last year that we have to expect at at least 3x the single thread performance of T3 for T4. We have 8 cores in T4, as stated by Rick Hetherington. Let's assume for a moment that a T4 core will have the performance of a UltraSPARC core (just to simplify math and not to disclosing anything about the performance, all existing SPARC cores are considered equal). So given this pieces of information, you could consolidate 8 V215, 4 or 8 V245, 2 full blown V445,2 full blown 490, 2 full blown M3000 on a single T4 SPARC processor. The Fowler roadmap prezo talked about 4-socket systems with T4. So 32 V215, 16 to 8 V245, 8 fullblown V445, 8 full blown V490, 8 full blown M3000 in a system image. I think you get the idea. That said, most of the systems we are talking about have already amortized and perhaps it's just time to invest in new systems to yield other advantages like reduced space consumptions, like reduced power consumption, like some of the neat features sun4v gives you, and yes ? reduced number of processor licenses for Oracle and less money for Oracle HW/SW support. As much as I dislike it myself that my own UltraSPARC III and UltraSPARC II based systems won't run on Solaris 11 (and I have quite a few of them in my personal lab), I really think that the impact on production environments will be much less than most people think now. By the way: The reason for this move is a quite significant new feature. I will tell you that it was this feature, when it's out. I assume, telling just a word more could lead to much more time to blog.

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  • .Net oracle parameter order

    - by jkrebsbach
    Using the ODAC (Oracle Data Access Components) downloaded from Oracle to talk to a handfull of Oracle DBs - Was putting together my DAL to update the DB, and things weren't working as I hoped - UPDATE foo SET bar = :P_BAR WHERE bap = :P_BAP I assign my parameters - objCmd.Parameters.Add(objBap); objCmd.Parameters.Add(objBar);   Execute update command - int result = objCmd.ExecuteNonQuery() and result is zero! ...  Is my filter incorrect? SELECT count(*) FROM foo WHERE bap = :P_BAP ...result is one... Is my new value incorrect?  Am I using Char instead of Varchar somewhere and need an RTRIM?  Is there a transaction getting involved?  An error thrown and not caught? The answer: Order of parameters.   The order parameters are added to the Oracle Command object must match the order the parameters are referenced in the SQL statement.  I was adding the parameters for the WHERE clause before adding the SET value parameters, and for that reason although no error was being thrown, no value was updated either. Flip parameter collection around to match order of params in the SQL statement, and ExecuteNonQuery() is back to returning the number of rows affected.

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