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• BI and EPM Landscape

  - by frank.buytendijk

  Most of my blog entries are not about Oracle products, and most of the latest entries are about topics such as IT strategy and enterprise architecture. However, given my background at Gartner, and at Hyperion, I still keep a close eye on what's happening in BI and EPM. One important reason is that I believe there is significant competitive value for organizations getting BI and EPM right. Davenport and Harris wrote a great book called "Competing on Analytics", in which they explain this in a very engaging and convincing way. At Oracle we have defined the concept of "management excellence" that outlines what organizations have to do to keep or create a competitive edge. It's not only in the business processes, but also in the management processes. Recently, Gartner published its 2009 market shares report for BI, Analytics, and Performance Management. Gartner identifies the same three segments that Oracle does: (1) CPM Suites (Oracle refers not to Corporate Performance Management, but Enterprise Performance Management), (2) BI Platform, and (3) Analytic Applications & Performance Management. According to Gartner, Oracle's share is increasing with revenue growing by more than 5%. Oracle currently holds the #2 market share position in the overall BI Software space based on total BI software revenue. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 Gartner has ranked Oracle as #1 in the CPM Suites worldwide sub-segment based on total BI software revenue, and Oracle is gaining share with revenue growing by more than 6% in 2009. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 The Analytic Applications & Performance Management subsegment is more fragmented. It has for instance a very large "Other Vendors" category. The largest player traditionally is SAS. Analytic Applications are often meant for very specific analytic needs in very specific industry sectors. According to Gartner, from the large vendors, again Oracle is the one who is gaining the most share - with total BI software revenue growth close to 15% in 2009. Source: Gartner Dataquest Market Share: Business Intelligence, Analytics and Performance Management Software, Worldwide, 2009; Dan Sommer and Bhavish Sood; Apr 2010 I believe this shows Oracle's integration strategy is working. In fact, integration actually is the innovation. BI and EPM have been silo technology platforms and application suites way too long. Management and measuring performance should be very closely linked to strategy execution, which is the domain of other business application areas such as CRM, ERP, and Supply Chain. BI and EPM are not about "making better decisions" anymore, but are part of a tangible action framework. Furthermore, organizations are getting more serious about ecosystem thinking. They do not evaluate single tools anymore for different application areas, but buy into a complete ecosystem of hardware, software and services. The best ecosystem is the one that offers the most options, in environments where the uncertainty is high and investments are hard to reverse. The key to successfully managing such an environment is middleware, and BI and EPM become increasingly middleware intensive. In fact, given the horizontal nature of BI and EPM, sitting on top of all business functions and applications, you could call them "upperware". Many are active in the BI and EPM space. Big players can offer a lot, but there are always many areas that are covered by specialty vendors. Oracle openly embraces those technologies within the ecosystem as well. Complete, open and integrated still accurately describes the Oracle product strategy. frank

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• Want a headless build server for SSDT without installing Visual Studio? You’re out of luck!

  - by jamiet

  An issue that regularly seems to rear its head on my travels is that of headless build servers for SSDT. What does that mean exactly? Let me give you my interpretation of it. A SQL Server Data Tools (SSDT) project incorporates a build process that will basically parse all of the files within the project and spit out a .dacpac file. Where an organisation employs a Continuous Integration process they will likely want to automate the building of that dacpac whenever someone commits a change to the source control repository. In order to do that the organisation will use a build server (e.g. TFS, TeamCity, Jenkins) and hence that build server requires all the pre-requisite software that understands how to build an SSDT project. The simplest way to install all of those pre-requisites is to install SSDT itself however a lot of folks don’t like that approach because it installs a lot unnecessary components on there, not least Visual Studio itself. Those folks (of which i am one) are of the opinion that it should be unnecessary to install a heavyweight GUI in order to simply get a few software components required to do something that inherently doesn’t even need a GUI. The phrase “headless build server” is often used to describe a build server that doesn’t contain any heavyweight GUI tools such as Visual Studio and is a desirable state for a build server. In his blog post Headless MSBuild Support for SSDT (*.sqlproj) Projects Gert Drapers outlines the steps necessary to obtain a headless build server for SSDT: This article describes how to install the required components to build and publish SQL Server Data Tools projects (*.sqlproj) using MSBuild without installing the full SQL Server Data Tool hosted inside the Visual Studio IDE. http://sqlproj.com/index.php/2012/03/headless-msbuild-support-for-ssdt-sqlproj-projects/ Frankly however going through these steps is a royal PITA and folks like myself have longed for Microsoft to support headless build support for SSDT by providing a distributable installer that installs only the pre-requisites for building SSDT projects. Yesterday in MSDN forum thread Building a VS2013 headless build server - it's sooo hard Mike Hingley complained about this very thing and it prompted a response from Kevin Cunnane from the SSDT product team: The official recommendation from the TFS / Visual Studio team is to install the version of Visual Studio you use on the build machine. I, like many others, would rather not have to install full blown Visual Studio and so I asked: Is there any chance you'll ever support any of these scenarios: Installation of all build/deploy pre-requisites without installing the VS shell? TFS shipping with all of the pre-requisites for doing SSDT project build/deploys 3rd party build servers (e.g. TeamCity) shipping with all of the requisites for doing SSDT project build/deploys I have to say that the lack of a single installer containing all the pre-requisites for SSDT build/deploy puzzles me. Surely the DacFX installer would be a perfect vehicle for that? Kevin replied again: The answer is no for all 3 scenarios. We looked into this issue, discussed it with the Visual Studio / TFS team, and in the end agreed to go with their latest guidance which is to install Visual Studio (e.g. VS2013 Express for Web) on the build machine. This is how Visual Studio Online is doing it and it's the approach recommended for customers setting up their own TFS build servers. I would hope this is compatible with 3rd party build servers but have not verified whether this works with TeamCity etc. Note that DacFx MSI isn't a suitable release vehicle for this as we don't want to include Visual Studio/MSBuild dependencies in that package. It's meant to just include the core DacFx DLLs used by SSMS, SqlPackage.exe on the command line, etc. What this means is we won't be providing a separate MSI installer or nuget package with just the necessary build DLLs you need to run your build and tests. If someone wanted to create a script that generated a nuget package based on our DLLs and targets files, then release that somewhere on the web for easier integration with 3rd party build servers we've no problem with that. Again, here’s the link to the thread and its worth reading in its entirety if this is something that interests you. So there you have it. Microsoft will not be be providing support for headless build servers for SSDT but if someone in the community wants to go ahead and roll their own, go right ahead. @Jamiet

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• SQL – Quick Start with Admin Sections of NuoDB – Manage NuoDB Database

  - by Pinal Dave

  In the yesterday’s blog post we have seen that it is extremely easy to install the NuoDB database on your local machine. Now that the application is properly set up, let us explore NuoDB a bit more and get you familiar with the how it works and what the important areas of the NuoDB are that you should learn. As we have already installed NuoDB, now we will quickly start with two of the important areas in NuoDB: 1) Admin and 2) Explorer. In this blog post I will explore how the Admin Section of the NuoDB Console works.  In the next blog post we will learn how the Explorer Section works. Let us go to the NuoDB Console by typing the following URL in your browser: http://localhost:8080/ It will bring you to the following screen: On this screen you can see a big Start QuickStart button. Click on the button and it will bring you to following screen. On this screen you will find very important information about Domain and Database Settings. It is our habit that we do not read what is written on the screen and keep on clicking on continue without reading. While we are familiar with most wizards, we can often miss the very important message on the screen. Please note the information of Domain Settings and Database Settings from the following screen before clicking on Create Database. Domain Settings User: quickstart Password: quickstart Database Settings User: dba Password: goalie Database: test Schema: HOCKEY Once you click on the Create Database button it will immediately start creating sample database. First, it will start a Storage Manager and right after that it will start a Transaction Engine. Once the engine is up, it will Create a Schema and Sample Data. On the success of the creating the sample database it will show the following screen. Now is the time where we can explore the NuoDB Admin or NuoDB Explorer. If you click on Admin, it will first show following login screen. Enter for the username “domain” and for the password “bird”. Alternatively you can enter “quickstart”  twice for username and password.  It works as too. Once you enter into the Admin Section, on the left side you can see information about NuoDB and Admin Console and on the right side you can see the domain overview area. From this Administrative section you can do any of the following tasks: Create a view of the entire domain Add and remove databases Start and stop NuoDB Transaction Engines and Storage Managers Monitor transaction across all the NuoDB databases On the right side of the Admin Section we can see various information about a particular NuoDB domain. You can quickly view various alerts, find out information about the number of host machines that are provisioned for the domain, and see the number of databases and processes that are running in the domain. If you click on the “1 host” link you will be able to see various processes, CPU usage and other information. In the Processes Section you can see that there are two different types of processes. The first process (where you can see the floppy drive icon) represents a running Storage Manager process and the second process a running Transaction Engine process. You can click on the links for the Storage Manager and Transaction Engine to see further statistical details right down to the last byte of the data. There are various charts available for analysis as well. I think the product is quite mature and the user can add different monitor charts to the Admin section. Additionally, the Admin section is the place where you can create and manage new databases. I hope today’s tutorial gives you enough confidence that you can try out NuoDB and checkout various administrative activities with the database. I am personally impressed with their dashboard related to various counters. For more information about how the NuoDB architecture works and what a Storage Manager or Transaction Engine does, check out this short video with NuoDB CTO Seth Proctor:  In the next blog post, we will try out the Explorer section of NuoDB, which allows us to run SQL queries and write SQL code.  Meanwhile, I strongly suggest you download and install NuoDB and get yourself familiar with the product. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology Tagged: NuoDB

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• A Letter for Your CEO About Social Marketing’s Future

  - by Mike Stiles

  We’ll leave it to you to decide if or how to sneak this in front of them. Dear Chief: This social marketing thing looks serious. It’s gone beyond having a Facebook page and putting our info and a few promotions on it. It’s seriously disrupting how we’ve always done marketing. And its implications reach well beyond marketing. My concern is that we stay positioned ahead of these changes and are prepared to embrace, adapt and capitalize on these new capabilities as opposed to spending valuable time and money trying to shoehorn social into “the way we’ve always done things.” I’m also concerned about what happens if our competition executes on this before we do. The days of being able to impose our ad messaging on the masses to great effect are numbered. The public now has the tech tools and ability to filter out things that are irrelevant to them. And frankly, spending ad dollars to reach unlikely prospects isn’t the most efficient path for us either. Today, our customers have to genuinely love what we do. That starts with a renewed, customer-centric focus on the quality and usability of our product. If their experience with it is bad, they now have very connected, loud voices that will testify against us. We can’t afford that. Next, their customer service experience, before and after the sale, has to be a pleasant surprise. That requires truly knowing our customers and listening to them. Lip service won’t cut it. We have to get and use as much data on the customer as possible, interact with them wherever they want to interact with us, and commit to impressing them. If we do, they’ll get out there and advertise for us. Since peer-to-peer recommendation is the most effective marketing, that’s money in the bank. Social marketing is about forming relationships, same as how individuals use social. We want them to know us, trust us, and get real value from knowing us. That requires honesty and transparency that before now might have been uncomfortable. I propose that if we clearly make everything we do about our customers’ wants and needs, we’ll have nothing to hide. It will solidify customer loyalty, retention, and thus, revenue. These things can’t happen without certain tools and structural changes in the organization. There are social cloud platforms that integrate social management into all of the necessary areas: CRM, customer service, sales, marketing automation, content marketing, ecommerce, etc. This is will give us a real-time, complete view of the customer so their every interaction with us is attentive, personalized, accurate, relevant, and satisfying. Without it, we’re just a collage of disjointed systems, each gathering data that informs only its own departmental silo. The customer is voluntarily giving us everything we need to know about them to win them over, but we have to start listening and putting the pieces together. There’s still time. Brands are coming to terms with this transition to the socially enabled enterprise, but so far they aren’t moving very fast. Like us, they’re dealing with long-entrenched technologies and processes. CMO’s and CIO’s have to form new partnerships. Content operations have to be initiated and properly staffed and funded. Various departments must be able to utilize interconnected big data. What will separate the winners from the losers? Well chief, that’s why I’m writing you. It’s in your hands. These initiatives won’t get the kind of priority and seriousness that inspire actual deadlines & action unless they come from your desk. You have to be the champion of customer centricity. You have to be our change agent. You have to be our innovator. Otherwise, it’s going to be business as usual, and that puts us in a very vulnerable place. Sincerely, Your Team @mikestilesPhoto: Gary Scott, stock.xchng

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• 9 Ways Facebook Monetization Could Change Your Marketing

  - by Mike Stiles

  Think Facebook monetization isn’t a head game? Imagine creating something so functional, fun and addictive you literally amass about 1/7th of the planet’s population as an audience. You have 1 billion users that use it at least once a month. But analysts and marketers look at what you’ve done and say, “eh…not good enough.” What if you had a TV show that garnered 1/7 of Earth’s population as an audience? How much would a spot cost? And how fast would marketers write that check, even without the targeting and engagement analytics Facebook offers? Having already changed the marketing landscape forever, if you’re Facebook’s creator, you’d have to be scratching your head and asking, “Wow, what more does a product need to do?” Facebook’s been busy answering that very question with products and betas that will likely directly affect your brand’s strategy. Item 1: Users can send physical gifts to friends through Facebook based on suggestions from user data. A giant step toward the potential power of social commerce. Item 2: Users can pay $7 to promote posts for higher visibility. Individual users, not just marketers, are being leveraged as a revenue stream. Not impressive enough? There’s also the potential Craigslist killer Facebook Marketplace. Item 3: Mobile ads. 600 million+ access Facebook on smartphones. According to the company, half of the $1 million a day generated by Sponsored Stories as of late June was coming from mobile. Ads in News Feeds seen on mobile had click-through rates 23x higher than on desktop News Feeds or the right side panel. Item 4: App developers can buy install ads that show up in mobile News Feeds so reliance on discovery in app stores is reduced. Item 5: Want your posts seen by people who never liked your Page? A test began in August where you could appear in non-fans’ News Feeds on both web and mobile. Item 6: How about an ability to use Facebook data to buy ads outside of Facebook? A mobile ad network is being tested to get your targeted messages on non-Facebook apps and sites surfaced on devices. Item 7: Facebook Collections, Facebook’s answer to Pinterest. Users can gather images of desired products and click through to the retailer to buy. Keep focusing on your imagery. Item 8: Facebook Offers, Facebook’s answer to the Groupons and Living Socials of the world. You can send deals to your fans’ News Feeds. Item 9: Facebook Exchange lets you track what fans do on Facebook and across the entire Web. Could lead to a Facebook ad network leveraging Facebook users and data but not limiting exposure to the Facebook platform. Marketers are seeing increasing value in Facebook (and Twitter for that matter).  But as social grows and adjusts, will marketing budgets aimed in that direction grow and adjust accordingly, and within a reasonable time frame? @mikestilesPhoto Christie Merrill/stock.xchng

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• SQL SERVER – Identifying Column Data Type of uniqueidentifier without Querying System Tables

  - by pinaldave

  I love interesting conversations with related to SQL Server. One of my friends Madhivanan always comes up with an interesting point of conversation. Here is one of the conversation between us. I am very confident this blog post will for sure enable you with some new knowledge. Madhi: How do I know if any table has a uniqueidentifier column used in it? Pinal:  I am sure you know that you can do it through some DMV or catalogue views. Madhi: I know that but how can we do that without using DMV or catalogue views? Pinal: Hm… what can I use? Madhi: You can use table name. Pinal: Easy, just say SELECT YourUniqueIdentCol FROM Table. Madhi: Hold on, the question seems to be not clear to you – you do know the name of the column. The matter of the fact, you do not know if the table has uniqueidentifier column. Only information you have is table name. Pinal: Madhi, this seems like you are changing the question when I am close to answer. Madhi: Well, are you clear now? Let me say it again – How do I know if any table has a uniqueidentifier column and what is its value without using any DMV or System Catalogues? Only information you know is table name and you are allowed to return any kind of error if table does not have uniqueidentifier column. Pinal: Do you know the answer? Madhi: Yes. I just wanted to test your knowledge about SQL. Pinal: I will have to think. Let me accept I do not know it right away. Can you share the answer please? Madhi: I won! Here it goes! Pinal: When I have friends like you – who needs enemies? Madhi: (laughter which did not stop for a minute). CREATE TABLE t ( GuidCol UNIQUEIDENTIFIER DEFAULT newsequentialid() ROWGUIDCOL, data VARCHAR(60) ) INSERT INTO t (data) SELECT 'test' INSERT INTO t (data) SELECT 'test1' SELECT $rowguid FROM t DROP TABLE t This is indeed very interesting to me. Please note that this is not the optimal way and there will be many other ways to retrieve uniqueidentifier name and value. What I learned from this was if I am in a rush to check if the table has uniqueidentifier and I do not know the name of the same, I can use SELECT TOP (1) $rowguid and quickly know the name of the column. I can later use the same columnname in my query. Madhi did teach me this new trick. Did you know this? What are other ways to get the check uniqueidentifier column existence in a database? Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology

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• Why Ultra-Low Power Computing Will Change Everything

  - by Tori Wieldt

  The ARM TechCon keynote "Why Ultra-Low Power Computing Will Change Everything" was anything but low-powered. The speaker, Dr. Johnathan Koomey, knows his subject: he is a Consulting Professor at Stanford University, worked for more than two decades at Lawrence Berkeley National Laboratory, and has been a visiting professor at Stanford University, Yale University, and UC Berkeley's Energy and Resources Group. His current focus is creating a standard (computations per kilowatt hour) and measuring computer energy consumption over time. The trends are impressive: energy consumption has halved every 1.5 years for the last 60 years. Battery life has made roughly a 10x improvement each decade since 1960. It's these improvements that have made laptops and cell phones possible. What does the future hold? Dr. Koomey said that in the past, the race by chip manufacturers was to create the fastest computer, but the priorities have now changed. New computers are tiny, smart, connected and cheap. "You can't underestimate the importance of a shift in industry focus from raw performance to power efficiency for mobile devices," he said. There is also a confluence of trends in computing, communications, sensors, and controls. The challenge is how to reduce the power requirements for these tiny devices. Alternate sources of power that are being explored are light, heat, motion, and even blood sugar. The University of Michigan has produced a miniature sensor that harnesses solar energy and could last for years without needing to be replaced. Also, the University of Washington has created a sensor that scavenges power from existing radio and TV signals.Specific devices designed for a purpose are much more efficient than general purpose computers. With all these sensors, instead of big data, developers should focus on nano-data, personalized information that will adjust the lights in a room, a machine, a variable sign, etc.Dr. Koomey showed some examples:The Proteus Digital Health Feedback System, an ingestible sensor that transmits when a patient has taken their medicine and is powered by their stomach juices. (Gives "powered by you" a whole new meaning!) Streetline Parking Systems, that provide real-time data about available parking spaces. The information can be sent to your phone or update parking signs around the city to point to areas with available spaces. Less driving around looking for parking spaces!The BigBelly trash system that uses solar power, compacts trash, and sends a text message when it is full. This dramatically reduces the number of times a truck has to come to pick up trash, freeing up resources and slashing fuel costs. This is a classic example of the efficiency of moving "bits not atoms." But researchers are approaching the physical limits of sensors, Dr. Kommey explained. With the current rate of technology improvement, they'll reach the three-atom transistor by 2041. Once they hit that wall, it will force a revolution they way we do computing. But wait, researchers at Purdue University and the University of New South Wales are both working on a reliable one-atom transistors! Other researchers are working on "approximate computing" that will reduce computing requirements drastically. So it's unclear where the wall actually is. In the meantime, as Dr. Koomey promised, ultra-low power computing will change everything.

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• ArchBeat Link-o-Rama Top 10 for September 9-15, 2012

  - by Bob Rhubart

  The Top 10 most-viewed items shared on the OTN ArchBeat Facebook page for the week of September 9-15, 2017. 15 Lessons from 15 Years as a Software Architect | Ingo Rammer In this presentation from the GOTO Conference in Copenhagen, Ingo Rammer shares 15 tips regarding people, complexity and technology that he learned doing software architecture for 15 years. Attend OTN Architect Day – by Architects, for Architects – October 25 You won't need 3D glasses to take in these live presentations (8 sessions, two tracks) on Cloud computing, SOA, and engineered systems. And the ticket price is: Zero. Nothing. Absolutely free. Register now for Oracle Technology Network Architect Day in Los Angeles. Thursday October 25, 2012, 8:00 a.m. – 5:00 p.m. Sofitel Los Angeles , 8555 Beverly Boulevard , Los Angeles, CA 90048. Cloud API and service designers, stop thinking small | Cloud Computing - InfoWorld "The focus must shift away from fine-grained APIs that provide some type of primitive service, such as pushing data to a block of storage or perhaps making a request to a cloud-rooted database," says InfoWorld's David Linthicum. "To go beyond primitives, you must understand how these services should be used in a much larger architectural context. In other words, you need to understand how businesses will employ these services to form real workplace solutions—inside and outside the enterprise." Adding a runtime picker to a taskflow parameter in WebCenter | Yannick Ongena Oracle ACE Yannick Ongena shows how to create an Oracle WebCenter popup to allow users to "select items or do more complex things." Oracle IAM 11g R2 docs are now available "One of the great things about the new doc set is the inclusion of ePub files," says Fusion Middleware A-Team blogger Chris Johnson. "This means that if you have an iPad you can load up the doc library onto that and read the docs on the couch." Setting up a local Yum Server using the Exalogic ZFS Storage Appliance | Donald A concise technical post from the man named Donald. What's New in Oracle VM VirtualBox 4.2? | The Fat Bloke Sings "One of the trends we've seen is that as the average host platform becomes more powerful, our users are consistently running more and more vm's," says The Fat Bloke. "Some of our users have large libraries of vm's of various vintages, whilst others have groups of vm's that are run together as an assembly of the various tiers in a multi-tiered software solution, for example, a database tier, middleware tier, and front-ends." The new VirtualBox release, a year in the making, addresses the needs of these users, he explains. Configuring Oracle Business Intelligence 11g MDS XML Source Control Management with Git Version Control | Christian Screen Oracle ACE Christian Screen developed this tutorial for those interested in learning how to configure the Oracle Business Intelligence 11g (11.1.1.6) metadata repository for development using the new MDS XML source control management functionality. Identity and Access Management at Oracle Open World 2012 | Brian Eidelman Fusion Middleware A-Team blogger Brian Eideleman highlights three Oracle Openworld sessions that will put Identity and Access Management in the spotlight, and shares a link to the "Focus On: Identity Management" document, a comprehensive listing of Openworld activities also dealing with IM. Starting and stopping WebLogic automatically using Upstart | Chris Johnson "In Ubuntu, RedHat and Oracle Linux there's a new flavor of init called Upstart that all the kids are using," says Oracle Fusion Middleware A-Team member Chris Johnson. "It's the new hotness when it comes to making programs into daemons and wiring them to start and stop at appropriate times." Thought for the Day "The purpose of software engineering is to control complexity, not to create it." — Pamela Zave Source: SoftwareQuotes.com

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• ArchBeat Link-o-Rama Top 10 for December 9-15, 2012

  - by Bob Rhubart

  You click, we listen. The following list reflects the Top 10 most popular items posted on the OTN ArchBeat Facefbook page for the week of December 9-15, 2012. DevOps Basics II: What is Listening on Open Ports and Files – WebLogic Essentials | Dr. Frank Munz "Can you easily find out which WebLogic servers are listening to which port numbers and addresses?" asks Dr. Frank Munz. The good doctor has an answer—and a tech tip. Using OBIEE against Transactional Schemas Part 4: Complex Dimensions | Stewart Bryson "Another important entity for reporting in the Customer Tracking application is the Contact entity," says Stewart Bryson. "At first glance, it might seem that we should simply build another dimension called Dim – Contact, and use analyses to combine our Customer and Contact dimensions along with our Activity fact table to analyze Customer and Contact behavior." SOA 11g Technology Adapters – ECID Propagation | Greg Mally "Many SOA Suite 11g deployments include the use of the technology adapters for various activities including integration with FTP, database, and files to name a few," says Oracle Fusion Middleware A-Team member Greg Mally. "Although the integrations with these adapters are easy and feature rich, there can be some challenges from the operations perspective." Greg's post focuses on technical tips for dealing with one of these challenges. Podcast: DevOps and Continuous Integration In Part 1 of a 3-part program, panelists Tim Hall (Senior Director of product management for Oracle Enterprise Repository and Oracle’s Application Integration Architecture), Robert Wunderlich (Principal Product Manager for Oracle’s Application Integration Architecture Foundation Pack) and Peter Belknap (Director of product management for Oracle SOA Integration) discuss why DevOps matters and how it changes development methodologies and organizational structure. Good To Know - Conflicting View Objects and Shared Entity | Andrejus Baranovskis Oracle ACE Director Andrejus Baranovskis shares his thoughts -- and a sample application -- dealing with an "interesting ADF behavior" encountered over the weekend. Cloud Deployment Models | B. R. Clouse Looking out for the cloud newbies... "As the cloud paradigm grows in depth and breadth, more readers are approaching the topic for the first time, or from a new perspective," says B. R. Clouse. "This blog is a basic review of cloud deployment models, to help orient newcomers and neophytes." Service governance morphs into cloud API management | David Linthicum "When building and using clouds, the ability to manage APIs or services is the single most important item you can provide to ensure the success of the project," says David Linthicum. "But most organizations driving a cloud project for the first time have no experience handling a service-based architecture and don't see the need for API management until after deployment. By then, it's too late." Oracle Fusion Middleware Security: Password Policy in OAM 11g R2 | Rob Otto Rob Otto continues the Oracle Fusion Middleware A-Team "Oracle Access Manager Academy" series with a detailed look at OAM's ability to support "a subset of password management processes without the need to use Oracle Identity Manager and LDAP Sync." Understanding the JSF Lifecycle and ADF Optimized Lifecycle | Steven Davelaar Could you call that a surprise ending? Oracle WebCenter & ADF Architecture Team (A-Team) member learned a lot more than he expected while creating a UKOUG presentation entitled "What you need to know about JSF to be succesful with ADF." Expanding on requestaudit - Tracing who is doing what...and for how long | Kyle Hatlestad "One of the most helpful tracing sections in WebCenter Content (and one that is on by default) is the requestaudit tracing," says Oracle Fusion Middleware A-Team architect Kyle Hatlestad. Get up close and technical in his post. Thought for the Day "There is no code so big, twisted, or complex that maintenance can't make it worse." — Gerald Weinberg Source: SoftwareQuotes.com

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• Social Targeting: This One's Just for You

  - by Mike Stiles

  Think of social targeting in terms of the archery competition we just saw in the Olympics. If someone loaded up 5 arrows and shot them straight up into the air all at once, hoping some would land near the target, the world would have united in laughter. But sadly for hysterical YouTube video viewing, that’s not what happened. The archers sought to maximize every arrow by zeroing in on the spot that would bring them the most points. Marketers have always sought to do the same. But they can only work with the tools that are available. A firm grasp of the desired target does little good if the ad products aren’t there to deliver that target. On the social side, both Facebook and Twitter have taken steps to enhance targeting for marketers. And why not? As the demand to monetize only goes up, they’re quite motivated to leverage and deliver their incredible user bases in ways that make economic sense for advertisers. You could target keywords on Twitter with promoted accounts, and get promoted tweets into search. They would surface for your followers and some users that Twitter thought were like them. Now you can go beyond keywords and target Twitter users based on 350 interests in 25 categories. How does a user wind up in one of these categories? Twitter looks at that user’s tweets, they look at whom they follow, and they run data through some sort of Twitter secret sauce. The result is, you have a much clearer shot at Twitter users who are most likely to welcome and be responsive to your tweets. And beyond the 350 interests, you can also create custom segments that find users who resemble followers of whatever Twitter handle you give it. That means you can now use boring tweets to sell like a madman, right? Not quite. This ad product is still quality-based, meaning if you’re not putting out tweets that lead to interest and thus, engagement, that tweet will earn a low quality score and wind up costing you more under Twitter’s auction system to maintain. That means, as the old knight in “Indiana Jones and the Last Crusade” cautions, “choose wisely” when targeting based on these interests and categories to make sure your interests truly do line up with theirs. On the Facebook side, they’re rolling out ad targeting that uses email addresses, phone numbers, game and app developers’ user ID’s, and eventually addresses for you bigger brands. Why? Because you marketers asked for it. Here you were with this amazing customer list but no way to reach those same customers should they be on Facebook. Now you can find and communicate with customers you gathered outside of social, and use Facebook to do it. Fair to say such users are a sensible target and will be responsive to your message since they’ve already bought something from you. And no you’re not giving your customer info to Facebook. They’ll use something called “hashing” to make sure you don’t see Facebook user data (beyond email, phone number, address, or user ID), and Facebook can’t see your customer data. The end result, social becomes far more workable and more valuable to marketers when it delivers on the promise that made it so exciting in the first place. That promise is the ability to move past casting wide nets to the masses and toward concentrating marketing dollars efficiently on the targets most likely to yield results.

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• Dynamically load and call delegates based on source data

  - by makerofthings7

  Assume I have a stream of records that need to have some computation. Records will have a combination of these functions run Sum, Aggregate, Sum over the last 90 seconds, or ignore. A data record looks like this: Date;Data;ID Question Assuming that ID is an int of some kind, and that int corresponds to a matrix of some delegates to run, how should I use C# to dynamically build that launch map? I'm sure this idea exists... it is used in Windows Forms which has many delegates/events, most of which will never actually be invoked in a real application. The sample below includes a few delegates I want to run (sum, count, and print) but I don't know how to make the quantity of delegates fire based on the source data. (say print the evens, and sum the odds in this sample) using System; using System.Threading; using System.Collections.Generic; internal static class TestThreadpool { delegate int TestDelegate(int parameter); private static void Main() { try { // this approach works is void is returned. //ThreadPool.QueueUserWorkItem(new WaitCallback(PrintOut), "Hello"); int c = 0; int w = 0; ThreadPool.GetMaxThreads(out w, out c); bool rrr =ThreadPool.SetMinThreads(w, c); Console.WriteLine(rrr); // perhaps the above needs time to set up6 Thread.Sleep(1000); DateTime ttt = DateTime.UtcNow; TestDelegate d = new TestDelegate(PrintOut); List<IAsyncResult> arDict = new List<IAsyncResult>(); int count = 1000000; for (int i = 0; i < count; i++) { IAsyncResult ar = d.BeginInvoke(i, new AsyncCallback(Callback), d); arDict.Add(ar); } for (int i = 0; i < count; i++) { int result = d.EndInvoke(arDict[i]); } // Give the callback time to execute - otherwise the app // may terminate before it is called //Thread.Sleep(1000); var res = DateTime.UtcNow - ttt; Console.WriteLine("Main program done----- Total time --> " + res.TotalMilliseconds); } catch (Exception e) { Console.WriteLine(e); } Console.ReadKey(true); } static int PrintOut(int parameter) { // Console.WriteLine(Thread.CurrentThread.ManagedThreadId + " Delegate PRINTOUT waited and printed this:"+parameter); var tmp = parameter * parameter; return tmp; } static int Sum(int parameter) { Thread.Sleep(5000); // Pretend to do some math... maybe save a summary to disk on a separate thread return parameter; } static int Count(int parameter) { Thread.Sleep(5000); // Pretend to do some math... maybe save a summary to disk on a separate thread return parameter; } static void Callback(IAsyncResult ar) { TestDelegate d = (TestDelegate)ar.AsyncState; //Console.WriteLine("Callback is delayed and returned") ;//d.EndInvoke(ar)); } }

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• MySQL Server 5.6 default my.cnf and my.ini

  - by user12626240

  We've introduced a default my.cnf / my.ini file for MySQL Server that you can now see in the 5.6.8 release candidate: # For advice on how to change settings please see # http://dev.mysql.com/doc/refman/5.6/en/server-configuration-defaults.html [mysqld] # Remove leading # and set to the amount of RAM for the most important data # cache in MySQL. Start at 70% of total RAM for dedicated server, else 10%. # innodb_buffer_pool_size = 128M   # Remove leading # to turn on a very important data integrity option: logging # changes to the binary log between backups. # log_bin   # These are commonly set, remove the # and set as required. # basedir = ..... # datadir = ..... # port = ..... # socket = ..... # server_id = .....   # Remove leading # to set options mainly useful for reporting servers. # The server defaults are faster for transactions and fast SELECTs. # Adjust sizes as needed, experiment to find the optimal values. # join_buffer_size = 128M # sort_buffer_size = 2M # read_rnd_buffer_size = 2M   sql_mode=NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES    There is also a template file called my-default.cnf or my-default.ini that has these lines near the start: # *** DO NOT EDIT THIS FILE. It's a template which will be copied to the # *** default location during install, and will be replaced if you # *** upgrade to a newer version of MySQL.   On Linux systems, the mysql_install_db command will copy the template file to the final location, where the server will read and use the file, removing the extra three lines. On Windows, the installer will create extra settings based on the answers you gave during installation. Neither will overwrite an existing my.cnf or my.ini file. The only initially active setting here is to change the value of  sql_mode from the server default of NO_ENGINE_SUBSTITUTION to NO_ENGINE_SUBSTITUTION,STRICT_TRANS_TABLES. This strict mode changes warnings for some non-standard behaviour into errors. This can cause applications which rely on the non-standard things, like dates that aren't valid, to lose data. If we had just changed the server default, the new setting would affect all servers that lack an explicit sql_mode setting, including those where strict mode is harmful. So we did it in the default file instead because that will only affect new server installations. You should expect that in our next version after 5.6, the server default will include STRICT_TRANS_TABLES. Our Windows installer and some of our connectors already use STRICT_TRANS_TABLES by default. Strict has been our preferred setting for many years and it is good to see some development platforms are using it. If you need the old behaviour, just remove the STRICT_TRANS_TABLES setting. If you do this, please also ask your application provider to make it unnecessary. They can do that by setting the session sql_mode setting in their own connections, so the rest of the applications using the server don't have to have an undesirable default. We've kept this file as small as possible because we found that our old files were too big and confused people. We've also now removed the old my-huge and related example files. One key part of this is the link to the documentation, where we will provide an introduction to some key settings. We'd like to hear your feedback on settings that will benefit most users or are most important to call out for existing users. Please do that by commenting here or if you prefer by adding comments to this bug report.

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• Upgrading to 9.2 - Info You Can Use (part 1)

  - by John Webb

  Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Rebekah Jackson joins our blog with a series of helpful hints on planning your upgrade to PeopleSoft 9.2.   Find Features & Capabilities There are many ways that you might learn about new features and capabilities within our releases, but if you aren’t sure where to start or how best to go about it, we recommend: Go to www.peoplesoftinfo.com Select the product line you are interested in, and go to the ‘Release Content’ tab Use the Video Feature Overviews (VFOs) on YouTube and the Cumulative Feature Overview (CFO) tool to find features and functions. The VFOs are brief recordings that summarize some of our most popular capabilities. These recordings are great tools for learning about new features, or helping others to visualize the value they can bring to your organization. The VFOs focus on some of our highest value and most compelling new capabilities. We also provide summarized ‘Why Upgrade to 9.2’ VFOs for HCM, Financials, and Supply Chain. The CFO is a spreadsheet based tool that allows you to select the release you are currently on, and compare it to the new release. It will return the list of all new features and capabilities, by product. You can browse the full list and / or highlight areas that look particularly interesting. Once you have a list of features by product, use the Release Value Proposition, Pre-Release Notes, and the Release Notes documents to get more details on and supporting value statements about why those features will be helpful. Gather additional data and supporting information, including: Go to the Product Data Sheets tab, and review the respective data sheets. These summarize the capabilities in the product, and provide succinct value statements for the product and capabilities. The PeopleSoft 9.2 Upgrade page, which has many helpful resources. Important Notes:   -  We recommend that you go through the above steps for the application areas of interest, as well as for PeopleTools. There are many areas in PeopleTools 8.53 and the 9.2 application releases that combine technical and functional capabilities to deliver transformative value.    - We also recommend that you review the Portal Solutions content. With your license to PeopleSoft applications, you have access to many of the most powerful capabilities within the Interaction Hub.    -  If you have recently upgraded to PeopleSoft 9.1, and an immediate upgrade to 9.2 is simply not realistic, you can apply the same approaches described here to find untapped capabilities in your current products. Many of the features in 9.2 were delivered first in our 9.1 Feature Packs. To find the Release Value Proposition, Pre-Release Notes, and Release Notes for these releases, search on ‘PeopleSoft 9.1 Documentation Home Page’ on My Oracle Support, and select your desired product area. /* 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-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";}

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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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• How to set _optimizer_search_limit and _optimizer_max_permutations in Oracle10g.

  - by user52856

  I am working on a product that must support both MSSQL and Oracle (10g and 11g). I have some very complex queries that seem to run without issue on MSSQL 2005/2008, but very, very slow with Oracle. The CPU on the oracle server skyrockets for long periods of time, and it seems like the optimizer may be trying to find the best execution plan for the very complex query. I did some Googling to figure out how to limit the amount of time the optimizer spends on this, and came up with _optimizer_search_limit and _optimizer_max_permutations. Both of these parameters are hidden in Oracle 10g, and setting them in init.ora doesn't seem to make any difference. How do I set these parameters in Oracle. Or am I just totally barking up the wrong tree with the assumption that the optimizer is spending several minutes finding an execution plan? Thanks.

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• Copying 500GB Data to EC2 Instances Local Drive

  - by iCode

  Please do not ask me why (they made me) but I have to copy 500GB data to the local drive every 200 node/instances that I am launching in EC2. For reasons beyond this post, this data must by on the local drive and not EBS drive so I can not benefit from snapshots. What is the fastest way that I can manage to this? Copying from S3 to each node takes a long time. I trying to attached an EBS volume to every node with the data and then copy the data from EBS to the local drive but that also take a long time (several hours_) Now, I am also thinking to use bit torrent but not sure how well it is going to be. What is the best way to copy 500GB of static data to each local drive of 200 ec2 instances? The 500Gb of data is composed several hundred of file with varying size but the biggest file is 20GB.

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• Recovered all previous data of partition in Windows

  - by Komal Sorathiya

  My whole drive data is lost because I installed ubuntu. After that, I formatted my Laptop and make new drives. in which, one partition is cant accessible because its a raw partition. I recovered some data from that partition using iCare Recovery Software. Then, I fully format that partition, and I put data in that place. I remove all files from that. My problem is that I want to recover my data which is deleted because of ubuntu.. I can recover the most recent data from iCare Recovery, but i cannot recover previous data.. Please, help me for that. I am trying this from many days. Thanks

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• 403 forbidden while submitting a POST request with image data via iPhone application

  - by binnyb

  I am creating an iOS application which allows users to send image/text data to my webserver via a POST request. I am successfully sending POSTS to the server when image data is not included in the request. Any time i POST with image data the server spits back a 403 forbidden. I have tried adding the following to the .htaccess file in the directory of the script with no luck: Options +Indexes FollowSymLinks +ExecCGI Order allow,deny Allow from all web browsers and Android devices can successfully POST with image data to the script, the only device which cannot is the iPhone. POSTING with data to other hosting providers works as expected - it is just this host(ipowerweb.com). i noticed that when i try to POST to ANY script on the server with data returns a 403 forbidden. another note: i can successfully post to another server that is hosted by ipowerweb, but mine cant seem to handle it. My host has tried to resolve the issue but cannot, and they have marked it on their end as "resolved", so no more help from them. I wish to keep this host as moving would be a pain - i will change hosts as a last resort, so please help me! Why am i getting this 403 forbidden error only when i submit data via my iPhone application? How can i resolve the issue so i can successfully POST data? any advice on what i can do would be greatly appreciated. edit: as request, here are the response headers: { Connection = close; "Content-Length" = 217; "Content-Type" = "text/html; charset=iso-8859-1"; Date = "Wed, 12 Jan 2011 19:11:19 GMT"; Server = "Apache/2"; } edit: as request here are the request headers(oops): { "Accept-Encoding" = gzip; "Content-Length" = 5781; "Content-Type" = "multipart/form-data; charset=utf-8; boundary=0xKhTmLbOuNdArY"; "User-Agent" = "YeahIAteThat 1.0 (iPhone; iPhone OS 4.2.1; en_US)"; }

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• SQL 2008 R2: Data\Log partions

  - by Reese Hirth

  I have a SQL Server setup that a previous IT person set up with a 2TB data partition and a 1TB log partition. The OS partition is 244GB and SQL is installed on a separate 1TB partition. We have an additional 8TB of storage that I would like the new IT staff to bring on line. He wants to create 4 new 2TB data partition. I see this as confusing. Can't we just backup the current data partition, blow it away, and create a new 10TB data partition I'm responsible for administering the data on the server but am not allowed to do the setup myself. This is a GIS server running ArcGIS Server with around 60 geodatabases ranging from 20BG to a couple that may grow to over a TB. So, 5-2TB data partitions or 1-10TB partition. Thanks for the advice.

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• /data/tmp on database server?

  - by Mellon

  I am on a Linux ubuntu machine with MySQL installed. My teacher gave out an assignment which mentioned "copy cars.dat to /data/tmp on the MySQL database server" without any explanations, I do not know what is the "/data/tmp on database server" means exactly? Basically after that I need to execute SQL statement like LOAD DATA INFILE '/data/tmp/cars.dat' INTO TABLE cars So, what does copy cars.dat to /data/tmp on the database server means as there is no /data/tmp directory even? Personally, I checked /etc/mysql/my.cnf file, inside which there are definitions of : ... basedir = /usr datadir = /var/lib/mysql tmpdir = /tmp ... Does it mean to copy cars.dat to the tmpdir which is just /tmp under root directory??

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• Datacenter Backup Strategy

  - by EasyEcho

  What are common approaches to backup solutions in remote data centers? I am already familiar with general backup principals and have a very good backup strategy for our local data center but am having great difficulty extending it to a remote data center. We currently do a full backup on Friday, differential Mon - Thu, rotate offsite Friday morning ...rinse and repeat week after week. BTW, we use disks and have been very happy with this approach. We could buy a large storage server and backup everything to it, but this solution doesn't give you offsite. We could encrypt and upload to Amazon or some other online storage but that would take a large amount of time given the data and would be rather expensive paying for the bandwidth leaving the data center and receiving at amazon. We could drive to the data center every Friday and continue to rotate disks as we do now. But that just seems old fashion. What am I missing, are there better options?

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• How to achieve redundancy across data centers?

  - by BrandonBT

  I have a LAMP server with a lot of hardware redundancy built in. I am not worried about the server becoming unavailable. What I am worried about, however, are potential network issues in the data center the server is in. What I would like to have is another server in another data center for redundancy. Load balancing is less of a concern. With that said, I am relatively clueless on two points: How to have two servers in two geographically separate data centers that have exactly the same data, in terms of both files and MySQL databases. How to ensure that all traffic coming into one data center are automatically transferred to the other database in the case of a network or server failure at the first data center. Any guidance on how to accomplish the above two problems would be greatly appreciated.

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• Recovering damaged external hard disk by installing internally

  - by nfarshchi

  I had a 1TB Western Digital (My book series) 3.5" USB3. One day, the SATA to USB3 converter board was damaged and has not worked since. I decided to open the cover and use the HDD as an internal HDD. When I attached the HDD to my PC and booted up in Windows, it asked me which type of ????? I want to use "MBR or GBR" (I dont remember the exact question) I chose MBR and Windows gave me a 1TB empty Hard drive. I tried to recover with recover my files and some other recovery programs but no success. Some one told me that you should choosed GBR instead of MBR . How can I do that now? Another guy told me that the SATA to USB3 converter board is coded to save data on HDD and you can not use them internally without losing data, and I should find another SATA to USB3 board (exact same). It is impossible to find because they are not produced any more. Please help me to find a solution to bring back my data. UPDATE I have 1TB WD "Mybook" USB 3. the board that convert sata to usb3 was damaged. so when the HDD was in the box computer did not recognize it. I opened the box and remove HDD to use it internal. after connecting to my PC windows showed me one massage that I had two choice MBR or GPT I choosed MBR one and windows gave me 1TB empty new volume. I tried many recovery software to recover my data but no success. I brought it to one expert recovery company and they told me the converter board (SATA to USB3) make some encryption on data and with out that board you cannot recover any thing. so I bought another empty WD box and put the HDD inside but even after that also there is no file. I tried to recover again in this state but no success. so I have some unanswered question. does this converted boards make any password or encryption? if yes how can I solve it? does using many recovery programs affected my data? any suggestion or solution for bring back my data? I had use recovery programs such as : recover my files , EaseUS data recovery, easy recovery, test disk, Ontrack easy recovery . Note: when I was using test disk it asked me to choose which partition table I want to use. as it was I choose NTFS, does this made any change on data?

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• Clear/ Reset Result Table of Search page in OAF

  - by PRajkumar

  Normally problem faced by developers after creating Search Page is how to Clear/ Reset Result Table when developer open search page first time or after search when developer redirecting back to same search page from any other page (say delete page or update page)   Add following Code in your Search page Controller where you have constructed your Query Region   import oracle.apps.fnd.framework.webui.beans.layout.OAQueryBean; ... public void processRequest(OAPageContext pageContext, OAWebBean webBean) {  super.processRequest(pageContext, webBean);  OAQueryBean queryBean = (OAQueryBean)webBean.findChildRecursive("QueryRN");   // Here QueryRN is your Query Region Name as shown in following snap shot  queryBean.clearSearchPersistenceCache(pageContext); }     Note – After add this code, no need to worry about state of Application Module (AM). This code will clean up result table automatically every time when you will open Search page first time and when you are redirecting back to search page. But still as per good coding standard while redirecting back to search page always keep AM state to FALSE

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• How Social Is Your Contact Center?

  - by Charles Knapp

  More than 75% of consumers have complained on a social site after a poor customer experience. Yet, 70% of companies have little understanding of the social media conversations about their brand. To deliver upon your brand promise, retain customers, and increase their lifetime value, you must deliver great customer experiences across social, mobile, phone, and chat channels. Siloed channels produce poor customer experiences. Social channels must integrate with the people, processes, technology, and traditional channels used to satisfy customers. The more effective a company’s social marketing, the greater the demand for effective social service. However, service is not a job for social marketers. It is a job for service specialists, focused on KPIs such as response time, first contact resolution, satisfaction, churn, retention, and customer lifetime value. Most social-enabled contact centers are at the early adopter stage, attempting to “bolt on” social media as a side process. Many are experiencing inconsistent customer experiences, higher costs, and negligible return on investments. Service leaders should consider carefully how to integrate social channels with their current customer service and support people, processes, technology, and channels. Here is one company realizing success: the pre-integrated Oracle RightNow Social Experience “empowers our contact center operations by enabling our agents to join customer conversations that are happening on social sites like Twitter and Facebook and integrate those conversations into our overall multichannel customer engagement processes.” — Lisa Larson, Drugstore.com

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