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  • PASS Summit 2011 &ndash; Part IV

    - by Tara Kizer
    This is the final blog for my PASS Summit 2011 series.  Well okay, a mini-series, I guess. On the last day of the conference, I attended Keith Elmore’ and Boris Baryshnikov’s (both from Microsoft) “Introducing the Microsoft SQL Server Code Named “Denali” Performance Dashboard Reports, Jeremiah Peschka’s (blog|twitter) “Rewrite your T-SQL for Great Good!”, and Kimberly Tripp’s (blog|twitter) “Isolated Disasters in VLDBs”. Keith and Boris talked about the lifecycle of a session, figuring out the running time and the waiting time.  They pointed out the transient nature of the reports.  You could be drilling into it to uncover a problem, but the session may have ended by the time you’ve drilled all of the way down.  Also, the reports are for troubleshooting live problems and not historical ones.  You can use Management Data Warehouse for historical troubleshooting.  The reports provide similar benefits to the Activity Monitor, however Activity Monitor doesn’t provide context sensitive drill through. One thing I learned in Keith’s and Boris’ session was that the buffer cache hit ratio should really never be below 87% due to the read-ahead mechanism in SQL Server.  When a page is read, it will read the entire extent.  So for every page read, you get 7 more read.  If you need any of those 7 extra pages, well they are already in cache.  I had a lot of fun in Jeremiah’s session about refactoring code plus I learned a lot.  His slides were visually presented in a fun way, which just made for a more upbeat presentation.  Jeremiah says that before you start refactoring, you should look at your system.  Investigate missing or too many indexes, out-of-date statistics, and other areas that could be leading to your code running slow.  He talked about code standards.  He suggested using common abbreviations for aliases instead of one-letter aliases.  I’m a big offender of one-letter aliases, but he makes a good point.  He said that join order does not matter to the optimizer, but it does matter to those who have to read your code.  Now let’s get into refactoring! Eliminate useless things – useless/unneeded joins and columns.  If you don’t need it, get rid of it! Instead of using DISTINCT/JOIN, replace with EXISTS Simplify your conditions; use UNION or better yet UNION ALL instead of OR to avoid a scan and use indexes for each union query Branching logic – instead of IF this, IF that, and on and on…use dynamic SQL (sp_executesql, please!) or use a parameterized query in the application Correlated subqueries – YUCK! Replace with a join Eliminate repeated patterns Last, but certainly not least, was Kimberly’s session.  Kimberly is my favorite speaker.  I attended her two-day pre-conference seminar at PASS Summit 2005 as well as a SQL Immersion Event last December.  Did I mention she’s my favorite speaker?  Okay, enough of that. Kimberly’s session was packed with demos.  I had seen some of it in the SQL Immersion Event, but it was very nice to get a refresher on these, especially since I’ve got a VLDB with some growing pains.  One key takeaway from her session is the idea to use a log shipping solution with a load delay, such as 6, 8, or 24 hours behind the primary.  In the case of say an accidentally dropped table in a VLDB, we could retrieve it from the secondary database rather than waiting an eternity for a restore to complete.  Kimberly let us know that in SQL Server 2012 (it finally has a name!), online rebuilds are supported even if there are LOB columns in your table.  This will simplify custom code that intelligently figures out if an online rebuild is possible. There was actually one last time slot for sessions that day, but I had an airplane to catch and my kids to see!

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  • Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. 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

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  • Are there too many qualified software development engineers chasing too few jobs?

    - by T Gregory
    I am trying to write this question in a non-argumentative way, but it is quite emotionally charged for some, so please bear with me. In the U.S., we hear constantly from CEOs that they cannot find enough qualified software engineers. In fact, it is the position of the U.S. government that demand for software engineering talent outpaces supply. This position can be clearly seen in the granting of tens of thousands of H1B visas, but also in the following excerpt from the official 2010-11 Bureau of Labor Statistics Occupational Outlook Handbook: Employment of computer software engineers is expected to increase by 32 percent from 2008-2018, which is much faster than the average for all occupations. In addition, this occupation will see a large number of new jobs, with more than 295,000 created between 2008 and 2018. Demand for computer software engineers will increase as computer networking continues to grow. For example, expanding Internet technologies have spurred demand for computer software engineers who can develop Internet, intranet, and World Wide Web applications. Likewise, electronic data-processing systems in business, telecommunications, healthcare, government, and other settings continue to become more sophisticated and complex. Implementing, safeguarding, and updating computer systems and resolving problems will fuel the demand for growing numbers of systems software engineers. New growth areas will also continue to arise from rapidly evolving technologies. The increasing uses of the Internet, the proliferation of Web sites, and mobile technology such as the wireless Internet have created a demand for a wide variety of new products. As more software is offered over the Internet, and as businesses demand customized software to meet their specific needs, applications and systems software engineers will be needed in greater numbers. In addition, the growing use of handheld computers will create demand for new mobile applications and software systems. As these devices become a larger part of the business environment, it will be necessary to integrate current computer systems with this new, more mobile technology. However, from the the employee side of the equation, we often hear the opposite. Many of the stories of SDEs with graduate degrees and decades of experience on the unemployment line, or the big tech interview war stories, are anecdotal, for sure. But, there is one piece of data that is neither anecdotal nor transitory, and that is the aggregate decisions of millions of undergraduates of what degree to pursue. Here, a different picture emerges from the data, and that picture is not good for the software profession. According the most recent Taulbee Survey from Computer Research Association, undergrad degree production in CS and CE has fallen nearly 60% since 2004. (Undergrad enrollments have ticked up in the past two years, but only modestly). Here we see that a basic disconnect between what corporate CEOs and the US government are saying and what potential employees really think about job prospects in software engineering. So my questions are these. Who are we to believe? Is there an acute talent shortage, or is there a long-term structural oversupply in the SDE labor market? Can anyone provide reliable data on long-term unemployment among SDEs? How many are leaving the profession due to lack of work? Real data is most helpful. Thanks.

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  • SQL SERVER – Clustered Index and Primary Key – Contest Win Joes 2 Pros Combo (USD 198) – Day 3 of 5

    - by pinaldave
    August 2011 we ran a contest where every day we give away one book for an entire month. The contest had extreme success. Lots of people participated and lots of give away. I have received lots of questions if we are doing something similar this month. Absolutely, instead of running a contest a month long we are doing something more interesting. We are giving away USD 198 worth gift every day for this week. We are giving away Joes 2 Pros 5 Volumes (BOOK) SQL 2008 Development Certification Training Kit every day. One copy in India and One in USA. Total 2 of the giveaway (worth USD 198). All the gifts are sponsored from the Koenig Training Solution and Joes 2 Pros. The books are available here Amazon | Flipkart | Indiaplaza How to Win: Read the Question Read the Hints Answer the Quiz in Contact Form in following format Question Answer Name of the country (The contest is open for USA and India residents only) 2 Winners will be randomly selected announced on August 20th. Question of the Day: Which of the following datatype is usually NOT the best choice for Primary Key and Clustered Index? a) INT b) BIGINT c) GUID d) SMALLINT Query Hints: BIG HINT POST The clustered index is the placement order of a table’s records in memory pages. When you insert new records, then each record will be inserted into the memory page in the order it belongs. In the figure below we see another new record (Major Disarray) being inserted, in sequence, between Jonny and Rick. Since there is no room in this memory page, some records will need to shift around. The page split occurs when Irenes’ record moves to the second page. Page splits are considered very bad for performance, and there are a number of techniques to reduce, or even eliminate, the risk of page splits. You can create a clustered index on the table on any field you choose. Sometime SQL will create a clustered index for you. Often times the field having the Primary Key makes a great candidate for the clustered index. Additional Hints: I have previously discussed various concepts from SQL Server Joes 2 Pros Volume 3. SQL Joes 2 Pros Development Series – All about SQL Statistics SQL Joes 2 Pros Development Series – Introduction to Page Split SQL Joes 2 Pros Development Series – The Clustered Index – Simple Understanding SQL Joes 2 Pros Development Series – Geography Data Type – Calculating Distance Between Two Points on the Earth SQL Joes 2 Pros Development Series – Sparse Data and Space Used by Sparse Data SQL Joes 2 Pros Development Series – System and Time Data Types SQL Joes 2 Pros Development Series – Data Row Space Usage and NULL Storage Next Step: Answer the Quiz in Contact Form in following format Question Answer Name of the country (The contest is open for USA and India) Bonus Winner Leave a comment with your favorite article from the “additional hints” section and you may be eligible for surprise gift. There is no country restriction for this Bonus Contest. Do mention why you liked it any particular blog post and I will announce the winner of the same along with the main contest. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Joes 2 Pros, PostADay, SQL, SQL Authority, SQL Puzzle, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Bad Spot to Be In: Playing Catch-up with Mobile Advertising

    - by Mike Stiles
    You probably noticed, there’s a mass migration going on from online desktop/laptop usage to smartphone/tablet usage.  It’s an indicator of how we live our lives in the modern world: always on the go, with no intention of being disconnected while out there. Consequently, paid as it relates to mobile advertising is taking the social spotlight. eMarketer estimated that in 2013, US adults would spend about 2 hours, 21 minutes a day on mobile, not counting talking time. More people in the world own smartphones than own toothbrushes (bad news I suppose if you’re marketing toothpaste). They’re using those mobile devices to access social networks, consuming at least 17% of their mobile time on them. Frankly, you don’t need a deep dive into mobile usage stats to know what’s going on. Just look around you in any store, venue or coffee shop. It’s really obvious…our mobile devices are now where we “are,” so that’s where marketers can increasingly reach us. And it’s a smart place for them to do just that. Mobile devices can be viewed more and more as shopping facilitators. Usually when someone is on mobile, they are not in passive research mode. They are likely standing near a store or in front of a product, using their mobile to seek reassurance that buying that product is the right move. They are the hottest of hot prospects. Consider that 4 out of 5 consumers use smartphones to shop, 52% of Americans use mobile devices for in-store for research, 70% of mobile searches lead to online action inside of an hour, and people that find you on mobile convert at almost 3x the rate as those that find you on desktop or laptop. But what are marketers doing? Enter statistics from Mary Meeker’s latest State of the Internet report. Common sense says you buy advertising where people are spending their eyeball time, right? But while mobile is 20% of media use and rising, the ad spend there is 4%. Conversely, while print usage is at 5% and falling, ad spend there is 19%. We all love nostalgia, but come on. There are reasons marketing dollar migration to mobile has not matched user migration, including the availability of mobile ad products and the ability to measure user response to mobile ads. But interesting things are happening now. First came Facebook’s mobile ad, which let app developers pay to get potential downloads. Then their mobile ad network was announced at F8, allowing marketers to target users across non-Facebook apps while leveraging the wealth of diverse data Facebook has on those users, a big deal since Nielsen has pointed out mobile apps make up 89% of the media time spent on mobile. Twitter has a similar play in motion with their MoPub acquisition. And now mobile deeplinks have arrived, which can take users straight to sub-pages of mobile apps for a faster, more direct shopper/researcher user experience. The sooner the gratification, the smoother and faster the conversion. To be clear, growth in mobile ad spending is well underway. After posting $13.1 billion in 2013, Gartner expects global mobile ad spending to reach $18 billion this year, then go to $41.9 billion by 2017. Cheap smartphones and data plans are spreading worldwide, further fueling the shift to mobile. Mobile usage in India alone should grow 400% by 2018. And, of course, there’s the famous statistic that mobile should overtake desktop Internet usage this year. How can we as marketers mess up this opportunity? Two ways. We could position ourselves in perpetual “catch-up” mode and keep spending ad dollars where the public used to be. And we could annoy mobile users with horrid old-school marketing practices. Two-thirds of users told Forrester they think interruptive in-app ads are more annoying than TV ads. Make sure your brand’s social marketing technology platform is delivering a crystal clear picture of your social connections so the mobile touch point is highly relevant, mobile optimized, and delivering real value and satisfying experiences. Otherwise, all we’ve done is find a new way to be unwanted. @mikestiles @oraclesocialPhoto: Kate Mallatratt, freeimages.com

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  • Get Exchange Online Mailbox Size in GB

    - by Brian Jackett
    As mentioned in my previous post I was recently working with a customer to get started with Exchange Online PowerShell commandlets.  In this post I wanted to follow up and show one example of a difference in output from commandlets in Exchange 2010 on-premises vs. Exchange Online.   Problem    The customer was interested in getting the size of mailboxes in GB.  For Exchange on-premises this is fairly easy.  A fellow PFE Gary Siepser wrote an article explaining how to accomplish this (click here).  Note that Gary’s script will not work when remoting from a local machine that doesn’t have the Exchange object model installed.  A similar type of scenario exists if you are executing PowerShell against Exchange Online.  The data type for TotalItemSize  being returned (ByteQuantifiedSize) exists in the Exchange namespace.  If the PowerShell session doesn’t have access to that namespace (or hasn’t loaded it) PowerShell works with an approximation of that data type.    The customer found a sample script on this TechNet article that they attempted to use (minor edits by me to fit on page and remove references to deleted item size.)   Get-Mailbox -ResultSize Unlimited | Get-MailboxStatistics | Select DisplayName,StorageLimitStatus, ` @{name="TotalItemSize (MB)"; expression={[math]::Round( ` ($_.TotalItemSize.Split("(")[1].Split(" ")[0].Replace(",","")/1MB),2)}}, ` ItemCount | Sort "TotalItemSize (MB)" -Descending | Export-CSV "C:\My Documents\All Mailboxes.csv" -NoTypeInformation     The script is targeted to Exchange 2010 but fails for Exchange Online.  In Exchange Online when referencing the TotalItemSize property though it does not have a Split method which ultimately causes the script to fail.   Solution    A simple solution would be to add a call to the ToString method off of the TotalItemSize property (in bold on line 5 below).   Get-Mailbox -ResultSize Unlimited | Get-MailboxStatistics | Select DisplayName,StorageLimitStatus, ` @{name="TotalItemSize (MB)"; expression={[math]::Round( ` ($_.TotalItemSize.ToString().Split("(")[1].Split(" ")[0].Replace(",","")/1MB),2)}}, ` ItemCount | Sort "TotalItemSize (MB)" -Descending | Export-CSV "C:\My Documents\All Mailboxes.csv" -NoTypeInformation      This fixes the script to run but the numerous string replacements and splits are an eye sore to me.  I attempted to simplify the string manipulation with a regular expression (more info on regular expressions in PowerShell click here).  The result is a workable script that does one nice feature of adding a new member to the mailbox statistics called TotalItemSizeInBytes.  With this member you can then convert into any byte level (KB, MB, GB, etc.) that suits your needs.  You can download the full version of this script below (includes commands to connect to Exchange Online session). $UserMailboxStats = Get-Mailbox -RecipientTypeDetails UserMailbox ` -ResultSize Unlimited | Get-MailboxStatistics $UserMailboxStats | Add-Member -MemberType ScriptProperty -Name TotalItemSizeInBytes ` -Value {$this.TotalItemSize -replace "(.*\()|,| [a-z]*\)", ""} $UserMailboxStats | Select-Object DisplayName,@{Name="TotalItemSize (GB)"; ` Expression={[math]::Round($_.TotalItemSizeInBytes/1GB,2)}}   Conclusion    Moving from on-premises to the cloud with PowerShell (and PowerShell remoting in general) can sometimes present some new challenges due to what you have access to.  This means that you must always test your code / scripts.  I still believe that not having to physically RDP to a server is a huge gain over some of the small hurdles you may encounter during the transition.  Scripting is the future of administration and makes you more valuable.  Hopefully this script and the concepts presented help you be a better admin / developer.         -Frog Out     Links The Get-MailboxStatistics Cmdlet, the TotalitemSize Property, and that pesky little “b” http://blogs.technet.com/b/gary/archive/2010/02/20/the-get-mailboxstatistics-cmdlet-the-totalitemsize-property-and-that-pesky-little-b.aspx   View Mailbox Sizes and Mailbox Quotas Using Windows PowerShell http://technet.microsoft.com/en-us/exchangelabshelp/gg576861#ViewAllMailboxes   Regular Expressions with Windows PowerShell http://www.regular-expressions.info/powershell.html   “I don’t always test my code…” image http://blogs.pinkelephant.com/images/uploads/conferences/I-dont-always-test-my-code-But-when-I-do-I-do-it-in-production.jpg   The One Thing: Brian Jackett and SharePoint 2010 http://www.youtube.com/watch?v=Sg_h66HMP9o

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  • Top 5 Mobile Apps To Keep Track Of Cricket Scores [ICC World Cup]

    - by Gopinath
    The ICC World Cup 2011 has started with a bang today and the first match between India vs Bangladesh was a cracker. India trashed Bangladesh with a huge margin, thanks to Sehwag for scoring an entertaining 175 runs in 140 runs. At the moment it’s very clear that whole India is gripped with cricket fever and so the rest of fans across the globe. Couple of days ago we blogged about how to watch live streaming of ICC cricket world cup online for free as well as top 10 websites to keep track live scores on your computers. What about tracking live cricket scores on mobiles phones? Here is our guide to top mobile apps available for Symbian(Nokia), Android, iOS and Windows mobiles. By the way, we are covering free apps alone in this post. Why to waste money when free apps are available? SnapTu – Symbian Mobile App SnapTu is a multi feature application that lets you to track live cricket scores, read latest news and check stats published on cric info. SnapTu has tie up with Cric Info and accessing all of CricInfo website on your mobile is very easy. Along with live scores, SnapTu also lets you access your Facebook, Twitter and Picassa on your mobile. This is my favourite application to track cricket on Symbian mobiles. Download SnapTu for your mobiles here Yahoo! Cricket – Symbian & iOS App Yahoo! Cricket Scores is another dedicated application to catch up with live scores and news on your Nokia mobiles and iPhones. This application is developed by Yahoo!, the web giant as well as the official partner of ICC. Features of the app at a glance Cricket: Get a summary page with latest scores, upcoming matches and details of the recent matches News: View sections devoted to the latest news, interviews and photos Statistics: Find the latest team and player stats Download Yahoo! Cricket For Symbian Phones   Download Yahoo! Cricket For iOS ESPN CricInfo – Android and iOS App Is there any site that is better than CricInfo to catch up with latest cricket news and live scores? I say No. ESPN CricInfo is the best website available on the web to get up to the minute  cricket information with in-depth analysis from cricket experts. The live commentary provided by CricInfo site is equally enjoyable as watching live cricket on TV. CricInfo guys have their official applications for Android mobiles and iOS devices and you accessing ball by ball updates on these application is joy. Download ESPN Crick Info App: Android Version, iPhone Version NDTV Cricket – Android, iOS and Blackberry App NDTV Cricket App is developed by NDTV, the most popular English TV news channel in India. This application provides live coverage of international and domestic cricket (Test, ODI & T20) along with latest News, Photos, Videos and Stats. This application is available for iOS devices(iPhones, iPads, iPod Touch), Android mobiles and Blackberry devices. Download NDTV Cricket for iOS here & here    Download NDTV Apps For Rest of OSs ECB Cricket – Symbian, iOS & Android App If you are an UK citizen then  this may be the right application to download for getting live cricket score updates as well as latest news about England Cricket Board. ECB Cricket is an official application of England Cricket Board Download ECB Cricket : Android Version, iPhone Version, Symbian Version Are there any better apps that we missed to feature in this list? This article titled,Top 5 Mobile Apps To Keep Track Of Cricket Scores [ICC World Cup], was originally published at Tech Dreams. Grab our rss feed or fan us on Facebook to get updates from us.

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  • Dropped impression 25 days after restructure

    - by Hamid
    Our website is a non English property related website (moshaver.com) which is similar to rightmove.co.uk. On September 2012 our website was adversely affected by Panda causing our Google incoming clicks to drop from around 3000 clicks to less than a thousand. We were hoping that Google will eventually realize that we are not a spam website and things will get better. However, in August 2013 we were almost sure that we needed to do something, so we started to restructure our web content. We used the canonical tag to remove our search results and point to our listing pages, using the noindex tag to remove it from our listing pages which does not have any properties at the moment. We also changed title tags to more friendly ones, in addition to other changes. Our changes were effective on 10th August. As shown in the graph taken from Google Analytics Search Engine Optimization section, these changes has resulted in an increase in the number of times Google displayed our results in its search results. Our impressions almost doubled starting 15th August. However, as the graph shows, our CTR dropped from this date from around 15% to 8%. This might have been because of our changed title tags (so people were less likely to click on them), or it might be normal for increased impressions. This situation has continued up until 10th September, when our impressions decreased dramatically to less than a thousand. This is almost 30% of our original impressions (before website restructure) and 15% of the new impressions. At the same time our impressions has increased dramatically to around 50%. I have two theories for this increase. The first one is that these statistics are less accurate for lower impressions. The second one is that Google is now only displaying our results for queries directly related to our website (our name, our url), and not for general terms, such as "apartments in a specific city". The second theory also explains the dramatic decrease in impression as well. After digging the analytic data a little more, I constructed the following table. It displays the breakdown of our impressions, clicks and ctr in different Google products (web and image) and in total. What I understand from this table is that, most of our increased impressions after restructure were on the image search section. I don't think users of search would be looking for content in our website. Furthermore, it shows that the drop in our web search ctr, is as dramatic of the overall ctr (-30% in compare to -60%) . I thought posting it here might help you understand the situation better. Is it possible that Google has tested our new structure for 25 days, and then decided to decrease our impressions because of the the new low CTR? Or should we look for another factor? If this is the case, how long does it usually take for Google to give us another chance? It has been one month since our impressions has dropped.

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  • New R Interface to Oracle Data Mining Available for Download

    - by charlie.berger
      The R Interface to Oracle Data Mining ( R-ODM) allows R users to access the power of Oracle Data Mining's in-database functions using the familiar R syntax. R-ODM provides a powerful environment for prototyping data analysis and data mining methodologies. R-ODM is especially useful for: Quick prototyping of vertical or domain-based applications where the Oracle Database supports the application Scripting of "production" data mining methodologies Customizing graphics of ODM data mining results (examples: classification, regression, anomaly detection) The R-ODM interface allows R users to mine data using Oracle Data Mining from the R programming environment. It consists of a set of function wrappers written in source R language that pass data and parameters from the R environment to the Oracle RDBMS enterprise edition as standard user PL/SQL queries via an ODBC interface. The R-ODM interface code is a thin layer of logic and SQL that calls through an ODBC interface. R-ODM does not use or expose any Oracle product code as it is completely an external interface and not part of any Oracle product. R-ODM is similar to the example scripts (e.g., the PL/SQL demo code) that illustrates the use of Oracle Data Mining, for example, how to create Data Mining models, pass arguments, retrieve results etc. R-ODM is packaged as a standard R source package and is distributed freely as part of the R environment's Comprehensive R Archive Network (CRAN). For information about the R environment, R packages and CRAN, see www.r-project.org. R-ODM is particularly intended for data analysts and statisticians familiar with R but not necessarily familiar with the Oracle database environment or PL/SQL. It is a convenient environment to rapidly experiment and prototype Data Mining models and applications. Data Mining models prototyped in the R environment can easily be deployed in their final form in the database environment, just like any other standard Oracle Data Mining model. What is R? R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files. The design of R has been heavily influenced by two existing languages: Becker, Chambers & Wilks' S and Sussman's Scheme. Whereas the resulting language is very similar in appearance to S, the underlying implementation and semantics are derived from Scheme. R was initially written by Ross Ihaka and Robert Gentleman at the Department of Statistics of the University of Auckland in Auckland, New Zealand. Since mid-1997 there has been a core group (the "R Core Team") who can modify the R source code archive. Besides this core group many R users have contributed application code as represented in the near 1,500 publicly-available packages in the CRAN archive (which has shown exponential growth since 2001; R News Volume 8/2, October 2008). Today the R community is a vibrant and growing group of dozens of thousands of users worldwide. It is free software distributed under a GNU-style copyleft, and an official part of the GNU project ("GNU S"). Resources: R website / CRAN R-ODM

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  • PECL OCI8 2.0 Production Release Announcement

    - by cj
    The PHP OCI8 2.0.6 extension for Oracle Database is now "production" status. The source code is available on PECL. This can be used immediately to update your OCI8 extension in PHP 5.2 and later versions. The extension compiles with Oracle 10.2 or later client libraries. Oracle's standard cross-version database connectivity applies. OCI8 2.0 and PHP 5.5.5 RPMs for Oracle and Red Hat Linux are available from oss.oracle.com. Windows DLLs are available on PECL for PHP 5.3, PHP 5.4 and PHP 5.5. OCI8 2.0 source code will also be automatically included in the next major version of PHP. New Functionality Oracle Database 12c Implicit Result Set support. IRS's make it easy to pass query results back from stored PL/SQL procedures or anonymous PL/SQL blocks. Individual IRS statement resources, each corresponding to a single query, can be obtained with the new function oci_get_implicit_resultset(). These 'child' statement resources can be passed to any oci_fetch_* function. See Using PHP and Oracle Database 12c Implicit Result Sets and the PHP Manual: oci_get_implicit_resultset(). DTrace Dynamic Trace static probes. This well respected DTrace tracing framework is available on a number of platforms, including Oracle Linux. PHP OCI8 static user-space probes can be enabled with PHP's --enable-dtrace configuration option. See Using PHP DTrace on Oracle Linux. Documentation is also available in the PHP Manual OCI8 and DTrace Dynamic Tracing Improved Functionality Using oci_execute($s, OCI_NO_AUTO_COMMIT) for a SELECT no longer unnecessarily initiates an internal ROLLBACK during connection close. This can improve overall scalability by reducing "round trips" between PHP and the database. Changed Functionality PHP OCI8 2.0's minimum pre-requisites are now PHP 5.2 and Oracle client library 10.2. Later versions of both are usable and, in fact, recommended. Use the older PHP OCI8 1.4.10 extension when using PHP 4.3.9 through to PHP 5.1.x, or when only Oracle Database 9.2 client libraries are available. oci_set_*($connection, ...) meta data setting call error handling is fixed so that oci_error($connection) works for these calls. Note: The old, deprecated function aliases like ocilogon still exist but are not recommended for new applications. Phpinfo() Changes Some cosmetic changes were made to the output of php --ri oci8 and the phpinfo() function. The oci8.event and oci8.connection_class values are now shown only when the Oracle client libraries support the respective functionality. Connection statistics are now in a separate phpinfo() table. Temporary LOB and Collection support status lines in phpinfo() output were removed. These two features have always been enabled since 2007. Oci_internal_debug() Changes The oci_internal_debug() function is now a no-op. Use PHP's --enable-dtrace functionality with DTrace or SystemTap instead. References OCI8 Extension source code and Windows DLLs http://pecl.php.net/package/oci8 Oracle Linux RPMs oss.oracle.com PHP Manual for OCI8 OCI8 and DTrace Dynamic Tracing Oracle OpenWorld Conference paper What's New in Oracle Database 12c for PHP

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  • Managing Social Relationships for the Enterprise – Part 2

    - by Michael Snow
    12.00 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-fareast-font-family:Calibri; mso-bidi-font-family:"Times New Roman";} Reggie Bradford, Senior Vice President, Oracle  On September 13, 2012, I sat down with Altimeter Analyst Jeremiah Owyang to talk about how enterprise businesses are approaching the management of both their social media strategies and internal structures. There’s no longer any question as to whether companies are adopting social full throttle. That’s exactly the way it should be, because it’s a top online behavior across all age groups. For your consumers, it’s an ingrained, normal form of communication. And beyond connecting with friends, social users are reaching out for information and service from brands. Jeremiah tells us 29% of Twitter followers follow a brand and 58% of Facebook users have “Liked” a brand. Even on the B2B side, people act on reviews and recommendations. Just as in the early 90’s we saw companies move from static to dynamic web sites, businesses of all sizes are moving from just establishing a social presence to determining effective and efficient ways to use it. I like to say we’re in the 2nd or 3rd inning of a 9-inning game. Corporate social started out as a Facebook page, it’s multiple channels servicing customers wherever they are. Social is also moving from merely moderating to analyzing so that the signal can be separated from the noise, so that impactful influencers can be separated from other users. Organizationally, social started with the marketers. Now we’re getting into social selling, commerce, service, HR, recruiting, and collaboration. That’s Oracle’s concept of enterprise social relationship management, a framework to extend social across the entire organization real-time in as holistic a way as possible. Social requires more corporate coordination than ever before. One of my favorite statistics is that the average corporation at enterprise has 178 social accounts, according to Altimeter. Not all of them active, not all of them necessary, but 178 of them. That kind of fragmentation creates risk, so the smarter companies will look for solutions (as opposed to tools) that can organize, scale and defragment, as well as quickly integrate other networks and technologies that will come along. Our conversation goes deep into the various corporate social structures we’re seeing, as well as the advantages and disadvantages of each. There are also a couple of great examples of how known brands used an integrated, holistic approach to achieve stated social goals. What’s especially exciting to me is the Oracle SRM framework for the enterprise provides companywide integration into one seamless system. This is not a dream. This is going to have substantial business impact in the next several years.

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  • SQL Server IO handling mechanism can be severely affected by high CPU usage

    - by sqlworkshops
    Are you using SSD or SAN / NAS based storage solution and sporadically observe SQL Server experiencing high IO wait times or from time to time your DAS / HDD becomes very slow according to SQL Server statistics? Read on… I need your help to up vote my connect item – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage. Instead of taking few seconds, queries could take minutes/hours to complete when CPU is busy.In SQL Server when a query / request needs to read data that is not in data cache or when the request has to write to disk, like transaction log records, the request / task will queue up the IO operation and wait for it to complete (task in suspended state, this wait time is the resource wait time). When the IO operation is complete, the task will be queued to run on the CPU. If the CPU is busy executing other tasks, this task will wait (task in runnable state) until other tasks in the queue either complete or get suspended due to waits or exhaust their quantum of 4ms (this is the signal wait time, which along with resource wait time will increase the overall wait time). When the CPU becomes free, the task will finally be run on the CPU (task in running state).The signal wait time can be up to 4ms per runnable task, this is by design. So if a CPU has 5 runnable tasks in the queue, then this query after the resource becomes available might wait up to a maximum of 5 X 4ms = 20ms in the runnable state (normally less as other tasks might not use the full quantum).In case the CPU usage is high, let’s say many CPU intensive queries are running on the instance, there is a possibility that the IO operations that are completed at the Hardware and Operating System level are not yet processed by SQL Server, keeping the task in the resource wait state for longer than necessary. In case of an SSD, the IO operation might even complete in less than a millisecond, but it might take SQL Server 100s of milliseconds, for instance, to process the completed IO operation. For example, let’s say you have a user inserting 500 rows in individual transactions. When the transaction log is on an SSD or battery backed up controller that has write cache enabled, all of these inserts will complete in 100 to 200ms. With a CPU intensive parallel query executing across all CPU cores, the same inserts might take minutes to complete. WRITELOG wait time will be very high in this case (both under sys.dm_io_virtual_file_stats and sys.dm_os_wait_stats). In addition you will notice a large number of WAITELOG waits since log records are written by LOG WRITER and hence very high signal_wait_time_ms leading to more query delays. However, Performance Monitor Counter, PhysicalDisk, Avg. Disk sec/Write will report very low latency times.Such delayed IO handling also occurs to read operations with artificially very high PAGEIOLATCH_SH wait time (with number of PAGEIOLATCH_SH waits remaining the same). This problem will manifest more and more as customers start using SSD based storage for SQL Server, since they drive the CPU usage to the limits with faster IOs. We have a few workarounds for specific scenarios, but we think Microsoft should resolve this issue at the product level. We have a connect item open – https://connect.microsoft.com/SQLServer/feedback/details/744650/sql-server-io-handling-mechanism-can-be-severely-affected-by-high-cpu-usage - (with example scripts) to reproduce this behavior, please up vote the item so the issue will be addressed by the SQL Server product team soon.Thanks for your help and best regards,Ramesh MeyyappanHome: www.sqlworkshops.comLinkedIn: http://at.linkedin.com/in/rmeyyappan

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  • Crime Scene Investigation: SQL Server

    - by Rodney Landrum
    “The packages are running slower in Prod than they are in Dev” My week began with this simple declaration from one of our lead BI developers, quickly followed by an emailed spreadsheet demonstrating that, over 5 executions, an extensive ETL process was running average 630 seconds faster on Dev than on Prod. The situation needed some scientific investigation to determine why the same code, the same data, the same schema would yield consistently slower results on a more powerful server. Prod had yet to be officially christened with a “Go Live” date so I had the time, and having recently been binge watching CSI: New York, I also had the inclination. An inspection of the two systems, Prod and Dev, revealed the first surprise: although Prod was indeed a “bigger” system, with double the amount of RAM of Dev, the latter actually had twice as many processor cores. On neither system did I see much sign of resources being heavily taxed, while the ETL process was running. Without any real supporting evidence, I jumped to a conclusion that my years of performance tuning should have helped me avoid, and that was that the hardware differences explained the better performance on Dev. We spent time setting up a Test system, similarly scoped to Prod except with 4 times the cores, and ported everything across. The results of our careful benchmarks left us truly bemused; the ETL process on the new server was slower than on both other systems. We burned more time tweaking server configurations, monitoring IO and network latency, several times believing we’d uncovered the smoking gun, until the results of subsequent test runs pitched us back into confusion. Finally, I decided, enough was enough. Hadn’t I learned very early in my DBA career that almost all bottlenecks were caused by code and database design, not hardware? It was time to get back to basics. With over 100 SSIS packages and hundreds of queries, each handling specific tasks such as file loads, bulk inserts, transforms, logging, and so on, the task seemed formidable. And yet, after barely an hour spent with Profiler, Extended Events, and wait statistics DMVs, I had a lead in the shape of a query that joined three tables, containing millions of rows, returned 3279 results, but performed 239K logical reads. As soon as I looked at the execution plans for the query in Dev and Test I saw the culprit, an implicit conversion warning on a join predicate field that was numeric in one table and a varchar(50) in another! I turned this information over to the BI developers who quickly resolved the data type mismatches and found and fixed “several” others as well. After the schema changes the same query with the same databases ran in under 1 second on all systems and reduced the logical reads down to fewer than 300. The analysis also revealed that on Dev, the ETL task was pulling data across a LAN, whereas Prod and Test were connected across slower WAN, in large part explaining why the same process ran slower on the latter two systems. Loading the data locally on Prod delivered a further 20% gain in performance. As we progress through our DBA careers we learn valuable lessons. Sometimes, with a project deadline looming and pressure mounting, we choose to forget them. I was close to giving into the temptation to throw more hardware at the problem. I’m pleased at least that I resisted, though I still kick myself for not looking at the code on day one. It can seem a daunting prospect to return to the fundamentals of the code so close to roll out, but with the right tools, and surprisingly little time, you can collect the evidence that reveals the true problem. It is a lesson I trust I will remember for my next 20 years as a DBA, if I’m ever again tempted to bypass the evidence.

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  • Perm SSIS Developer Urgently Required

    - by blakmk
      Job Role To provide dedicated data services support to the company, by designing, creating, maintaining and enhancing database objects, ensuring data quality, consistency and integrity. Migrating data from various sources to central SQL 2008 data warehouse will be the primary function. Migration of data from bespoke legacy database’s to SQL 2008 data warehouse. Understand key business requirements, Liaising with various aspects of the company. Create advanced transformations of data, with focus on data cleansing, redundant data and duplication. Creating complex business rules regarding data services, migration, Integrity and support (Best Practices). Experience ·         Minimum 3 year SSIS experience, in a project or BI Development role and involvement in at least 3 full ETL project life cycles, using the following methodologies and tools o    Excellent knowledge of ETL concepts including data migration & integrity, focusing on SSIS. o    Extensive experience with SQL 2005 products, SQL 2008 desirable. o    Working knowledge of SSRS and its integration with other BI products. o    Extensive knowledge of T-SQL, stored procedures, triggers (Table/Database), views, functions in particular coding and querying. o    Data cleansing and harmonisation. o    Understanding and knowledge of indexes, statistics and table structure. o    SQL Agent – Scheduling jobs, optimisation, multiple jobs, DTS. o    Troubleshoot, diagnose and tune database and physical server performance. o    Knowledge and understanding of locking, blocks, table and index design and SQL configuration. ·         Demonstrable ability to understand and analyse business processes. ·         Experience in creating business rules on best practices for data services. ·         Experience in working with, supporting and troubleshooting MS SQL servers running enterprise applications ·         Proven ability to work well within a team and liaise with other technical support staff such as networking administrators, system administrators and support engineers. ·         Ability to create formal documentation, work procedures, and service level agreements. ·         Ability to communicate technical issues at all levels including to a non technical audience. ·         Good working knowledge of MS Word, Excel, PowerPoint, Visio and Project.   Location Based in Crawley with possibility of some remote working Contact me for more info: http://sqlblogcasts.com/blogs/blakmk/contact.aspx      

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  • SQL Server Optimizer Malfunction?

    - by Tony Davis
    There was a sharp intake of breath from the audience when Adam Machanic declared the SQL Server optimizer to be essentially "stuck in 1997". It was during his fascinating "Query Tuning Mastery: Manhandling Parallelism" session at the recent PASS SQL Summit. Paraphrasing somewhat, Adam (blog | @AdamMachanic) offered a convincing argument that the optimizer often delivers flawed plans based on assumptions that are no longer valid with today’s hardware. In 1997, when Microsoft engineers re-designed the database engine for SQL Server 7.0, SQL Server got its initial implementation of a cost-based optimizer. Up to SQL Server 2000, the developer often had to deploy a steady stream of hints in SQL statements to combat the occasionally wilful plan choices made by the optimizer. However, with each successive release, the optimizer has evolved and improved in its decision-making. It is still prone to the occasional stumble when we tackle difficult problems, join large numbers of tables, perform complex aggregations, and so on, but for most of us, most of the time, the optimizer purrs along efficiently in the background. Adam, however, challenged further any assumption that the current optimizer is competent at providing the most efficient plans for our more complex analytical queries, and in particular of offering up correctly parallelized plans. He painted a picture of a present where complex analytical queries have become ever more prevalent; where disk IO is ever faster so that reads from disk come into buffer cache faster than ever; where the improving RAM-to-data ratio means that we have a better chance of finding our data in cache. Most importantly, we have more CPUs at our disposal than ever before. To get these queries to perform, we not only need to have the right indexes, but also to be able to split the data up into subsets and spread its processing evenly across all these available CPUs. Improvements such as support for ColumnStore indexes are taking things in the right direction, but, unfortunately, deficiencies in the current Optimizer mean that SQL Server is yet to be able to exploit properly all those extra CPUs. Adam’s contention was that the current optimizer uses essentially the same costing model for many of its core operations as it did back in the days of SQL Server 7, based on assumptions that are no longer valid. One example he gave was a "slow disk" bias that may have been valid back in 1997 but certainly is not on modern disk systems. Essentially, the optimizer assesses the relative cost of serial versus parallel plans based on the assumption that there is no IO cost benefit from parallelization, only CPU. It assumes that a single request will saturate the IO channel, and so a query would not run any faster if we parallelized IO because the disk system simply wouldn’t be able to handle the extra pressure. As such, the optimizer often decides that a serial plan is lower cost, often in cases where a parallel plan would improve performance dramatically. It was challenging and thought provoking stuff, as were his techniques for driving parallelism through query logic based on subsets of rows that define the "grain" of the query. I highly recommend you catch the session if you missed it. I’m interested to hear though, when and how often people feel the force of the optimizer’s shortcomings. Barring mistakes, such as stale statistics, how often do you feel the Optimizer fails to find the plan you think it should, and what are the most common causes? Is it fighting to induce it toward parallelism? Combating unexpected plans, arising from table partitioning? Something altogether more prosaic? Cheers, Tony.

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  • Enabling Google Webmaster Tools With Your GWB Blog

    - by ToStringTheory
    I’ll be honest and save you some time, if you don’t have your own domain for your GWB blog, this won’t help, you may just want to move on…  I don’t want to waste your time……… Still here?  Good.  How great are Google’s website tools?  I don’t just mean Analytics which rocks, but also their Webmaster Tools (https://www.google.com/webmasters/tools/) which gives you a glimpse into the queries that provide you your website traffic, search engine behavior on your site, and important keywords, just to name a few.   Pictured Above: Cool statistics. Problem Thanks to svickn over at wtfnext.com (another GeeksWithBlogs blog), we already have the knowledge on how to setup Google Analytics (wtfnext.com - How to: Set up Google Analytics on your GeeksWithBlogs blog).  However, one of the questions raised in the post, and even semi-answered in the questions, was how to setup Google Webmaster Tools with your blog as well. At first glance, it seems like it can’t be done.  Google graciously gives you several different options on how to authorize that you own a site.  The authentication options are: 1. (Recommended) – Upload an HTML file to your server 2. Add a meta tag to your site’s home page 3. Use your Google Analytics account 4. Add a DNS record to your domain’s configuration Since you don’t have access to the base path, you can’t do #1.  Same goes for #2 since you can’t edit the master/index page.  As for #3, they REQUIRE the Analytics code to be in the <head> section of your page, so even though we can use the workaround of hosting it in the news section, it won’t allow it since it isn’t in the correct place. Solution Last I checked, I didn’t see the DNS record option for Webmaster Tools.  Maybe this was recently added, or maybe I don’t remember it since I was always able to use some other method to authorize it.  In this case though, this is the option that we need.  My registrar wasn’t in their list, but they provide detailed enough instructions for the ‘Other’ option: Simply create a TXT record with your domain hoster (mine is DynDns), fill in the tag information, and then click verify.  My entry was able to be resolved immediately, but since you are working with DNS, it may take longer.  If after 24 hours you still aren’t able to verify, you can use a site such as mxtoolbox.com, and in the searchbox type “txt: {domain-name-here}”, to see if your TXT record was entered successfully. It is pretty simple to setup the TXT entry in DynDns, but if you have questions/comments, feel free to post them. Conclusion With this simple workaround (not really a workaround, but feature since they offer it..), you are now able to see loads of information regarding your standings in the world of the Google Search Engine.  No critical issues?  Did I do something wrong?! As an aside, you can do the same thing with the Bing Webmaster Tools by adding a CNAME record to bing.verify.com…  Instructions can be found on the ‘Add Site’ popup when adding your site. If you don’t have your own domain, but continued, to read to this point – thank you!

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  • OPN Specialized Latest News (15th November)

    - by swalker
    HELPING YOU TO SPECIALIZE WebCenter Implementation Specialist Exam Preparation Webcasts: WebCenter Content And WebCenter Portal Oracle Partner Network would like to invite you to Refresh Courses for WebCenter Content and WebCenter Portal, to help partners to prepare for the WebCenter Implementation Specialist EXAMS. This is a 3 hours intensive refresher partner-only training session, providing attendees with an overview of WebCenter Content and WebCenter Portal functions and related topics. After the refresher part you will be able to take the relevant Implementation Specialist EXAM depending on your personal focus. NOTE: This is only suitable for experienced WebCenter Content or WebCenter Portal practitioners Who should attend? Partner Consultants who want to become an Oracle WebCenter Content or a WebCenter Portal Certified Implementation Specialist or both, that will help them to differentiate themselves in front of customers and support their Companies to become Specialized. Webcast Details: Click here to read more... Specialized Partners Only! New Service to Promote Your Events The Partner Event Publisher has just been made available to all specialized partners in EMEA.  Partners now have the opportunity to publish their events to the Oracle.com/events site and spread the word on their upcoming live in-person and/or live webcast events. Click here to read more information and watch a short video demo. VADs Get Specialized Effective November 1, 2011 , VADs, with a valid Value Added Distributor Agreement will no longer be required to meet customer reference requirements outlined in the business criteria section in order to become specialized. VADs must continue meet all other business and competency criteria set forth in the applicable Knowledge Zone prior to specialization approval. New Certification Pillar Axiom 600 Storage System Your opportunity to take the Pillar Axiom 600 Storage System Essentials (1Z0-581) Exam is vailable now in beta. Pass the exam so you can become a Pillar Axiom 600 Storage Systems Implementation Specialist! Free vouchers are available for Oracle Partners! If you would like to receive a free Beta exam voucher, please send your request to [email protected] and include your name, business email address, company, and the Exam name Pillar Axiom 600 Storage System Essentials Beta exam. New Certification Available: Oracle Utilities Customer Care and Billing Oracle Utilities Customer Care and Billing 2 Essentials (1Z0-562) is a solution designed to help you meet market windows and regulatory deadlines while enjoying a low total cost of ownership and a high return on investment. Take the exam now to become an  Oracle Utilities Customer Care and Billing 2 Essentials Implementation Specialists. MEASURING YOUR SUCCESS We had 1674 Specialized Partners covering 5364 Specializations. Please note that due to OPN contract renewals at any given point in time there are valid Specialized Partners and Specializations which are temporarily not captured in the total statistics. An incremental 1961 individuals were accredited as Implementation Specialists giving an EMEA cumulative total of 9598 Implementation Specialists 26 ISVs obtained one or more Ready's, for a total of 53 Ready's Don't forget! You can submit your own press releases to Oracle! Every time you achieve specialization we'd like to support you getting the message out! Press guidelines and a submission link can be found on the OPN Portal here.

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  • Mobile Deals: the Consumer Wants You in Their Pocket

    - by Mike Stiles
    Mobile deals offer something we talk about a lot in social marketing, relevant content. If a consumer is already predisposed to liking your product and gets a timely deal for it that’s easy and convenient to use, not only do you score on the marketing side, it clearly generates some of that precious ROI that’s being demanded of social. First, a quick gut-check on the public’s adoption of mobile. Nielsen figures have 55.5% of US mobile owners using smartphones. If young people are indeed the future, you can count on the move to mobile exploding exponentially. Teens are the fastest growing segment of smartphone users, and 58% of them have one. But the largest demographic of smartphone users is 25-34 at 74%. That tells you a focus on mobile will yield great results now, and even better results straight ahead. So we can tell both from statistics and from all the faces around you that are buried in their smartphones this is where consumers are. But are they looking at you? Do you have a valid reason why they should? Everybody likes a good deal. BIA/Kelsey says US consumers will spend $3.6 billion this year for daily deals (the Groupons and LivingSocials of the world), up 87% from 2011. The report goes on to say over 26% of small businesses are either "very likely" or "extremely likely" to offer up a deal in the next 6 months. Retail Gazette reports 58% of consumers shop with coupons, a 40% increase in 4 years. When you consider that a deal can be the impetus for a real-world transaction, a first-time visit to a store, an online purchase, entry into a loyalty program, a social referral, a new fan or follower, etc., that 26% figure shows us there’s a lot of opportunity being left on the table by brands. The existing and emerging technologies behind mobile devices make the benefits of offering deals listed above possible. Take how mobile payment systems are being tied into deal delivery and loyalty programs. If it’s really easy to use a coupon or deal, it’ll get used. If it’s complicated, it’ll be passed over as “not worth it.” When you can pay with your mobile via technologies that connects store and user, you get the deal, you get the loyalty credit, you pay, and your receipt is uploaded, all in one easy swipe. Nothing to keep track of, nothing to lose or forget about. And the store “knows” you, so future offers will be based on your tastes. Consider the endgame. A customer who’s a fan of your belt buckle store’s Facebook Page is in one of your physical retail locations. They pull up your app, because they’ve gotten used to a loyalty deal being offered when they go to your store. Voila. A 10% discount active for the next 30 minutes. Maybe the app also surfaces social references to your brand made by friends so they can check out a buckle someone’s raving about. If they aren’t a fan of your Page or don’t have your app, perhaps they’ve opted into location-based deal services so you can still get them that 10% deal while they’re in the store. Or maybe they’ve walked in with a pre-purchased Groupon or Living Social voucher. They pay with one swipe, and you’ve learned about their buying preferences, credited their loyalty account and can encourage them to share a pic of their new buckle on social. Happy customer. Happy belt buckle company. All because the brand was willing to use the tech that’s available to meet consumers where they are, incentivize them, and show them how much they’re valued through rewards.

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  • Essbase BSO Data Fragmentation

    - by Ann Donahue
    Essbase BSO Data Fragmentation Data fragmentation naturally occurs in Essbase Block Storage (BSO) databases where there are a lot of end user data updates, incremental data loads, many lock and send, and/or many calculations executed.  If an Essbase database starts to experience performance slow-downs, this is an indication that there may be too much fragmentation.  See Chapter 54 Improving Essbase Performance in the Essbase DBA Guide for more details on measuring and eliminating fragmentation: http://docs.oracle.com/cd/E17236_01/epm.1112/esb_dbag/daprcset.html Fragmentation is likely to occur in the following situations: Read/write databases that users are constantly updating data Databases that execute calculations around the clock Databases that frequently update and recalculate dense members Data loads that are poorly designed Databases that contain a significant number of Dynamic Calc and Store members Databases that use an isolation level of uncommitted access with commit block set to zero There are two types of data block fragmentation Free space tracking, which is measured using the Average Fragmentation Quotient statistic. Block order on disk, which is measured using the Average Cluster Ratio statistic. Average Fragmentation Quotient The Average Fragmentation Quotient ratio measures free space in a given database.  As you update and calculate data, empty spaces occur when a block can no longer fit in its original space and will either append at the end of the file or fit in another empty space that is large enough.  These empty spaces take up space in the .PAG files.  The higher the number the more empty spaces you have, therefore, the bigger the .PAG file and the longer it takes to traverse through the .PAG file to get to a particular record.  An Average Fragmentation Quotient value of 3.174765 means the database is 3% fragmented with free space. Average Cluster Ratio Average Cluster Ratio describes the order the blocks actually exist in the database. An Average Cluster Ratio number of 1 means all the blocks are ordered in the correct sequence in the order of the Outline.  As you load data and calculate data blocks, the sequence can start to be out of order.  This is because when you write to a block it may not be able to place back in the exact same spot in the database that it existed before.  The lower this number the more out of order it becomes and the more it affects performance.  An Average Cluster Ratio value of 1 means no fragmentation.  Any value lower than 1 i.e. 0.01032828 means the data blocks are getting further out of order from the outline order. Eliminating Data Block Fragmentation Both types of data block fragmentation can be removed by doing a dense restructure or export/clear/import of the data.  There are two types of dense restructure: 1. Implicit Restructures Implicit dense restructure happens when outline changes are done using EAS Outline Editor or Dimension Build. Essbase restructures create new .PAG files restructuring the data blocks in the .PAG files. When Essbase restructures the data blocks, it regenerates the index automatically so that index entries point to the new data blocks. Empty blocks are NOT removed with implicit restructures. 2. Explicit Restructures Explicit dense restructure happens when a manual initiation of the database restructure is executed. An explicit dense restructure is a full restructure which comprises of a dense restructure as outlined above plus the removal of empty blocks Empty Blocks vs. Fragmentation The existence of empty blocks is not considered fragmentation.  Empty blocks can be created through calc scripts or formulas.  An empty block will add to an existing database block count and will be included in the block counts of the database properties.  There are no statistics for empty blocks.  The only way to determine if empty blocks exist in an Essbase database is to record your current block count, export the entire database, clear the database then import the exported data.  If the block count decreased, the difference is the number of empty blocks that had existed in the database.

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  • Web Safe Area (optimal resolution) for web app design?

    - by M.A.X
    I'm in the process of designing a new web app and I'm wondering for what 'Web Safe Area' should I optimize the app layout and design. By Web Safe Area I mean the actual area available to display the website in the browser (which is influenced by monitor resolution as well as the space taken up by the browser and OS) I did some investigation and thinking on my own but wanted to share this to see what the general opinion is. Here is what I found: Optimal Display Resolution: w3schools web stats seems to be the most referenced source (however they state that these are results from their site and is biased towards tech savvy users) http://www.w3counter.com/globalstats.php (aggregate data from something like 15,000 different sites that use their tracking services) StatCounter Global Stats Display Resolution (Stats are based on aggregate data collected by StatCounter on a sample exceeding 15 billion pageviews per month collected from across the StatCounter network of more than 3 million websites) NetMarketShare Screen Resolutions (marketshare.hitslink.com) (a web analytics consulting firm, they get data from browsers of site visitors to their on-demand network of live stats customers. The data is compiled from approximately 160 million visitors per month) Display Resolution Summary: There is a bit of variation between the above sources but in general as of Jan 2011 looks like 1024x768 is about 20%, while ~85% have a higher resolution of at least 1280x768 (1280x800 is the most common of these with 15-20% of total web, depending on the source; 1280x1024 and 1366x768 follow behind with 9-14% of the share). My guess would be that the higher resolution values will be even more common if we filter on North America, and even higher if we filter on N.American corporate users (unfortunately I couldn't find any free geographically filtered statistics). Another point to note is that the 1024x768 desktop user population is likely lower than the aforementioned 20%, seeing as the iPad (1024x768 native display) is likely propping up those number (the app I'm designing is flash based, Apple mobile devices don't support flash so iPad support isn't a concern). My recommendation would be to optimize around the 1280x768 constraint (*note: 1280x768 is actually a relatively rare resolution, but I think it's a valid constraint range considering that 1366x768 is relatively common and 1280 is the most common horizontal resolution). Browser + OS Constraints: To further add to the constraints we have to subtract the space taken up by the browser (assuming IE, which is the most space consuming) and the OS (assuming WinXP-Win7): Win7 has the biggest taskbar footprint at a height of 40px (XP's and Vista's is 30px) The default IE8 view uses up 25px at the bottom of the screen with the status bar and a further 120px at the top of the screen with the windows title bar and the browser UI (assuming the default 'favorites' toolbar is present, it would instead be 91px without the favorites toolbar). Assuming no scrollbar, we also loose a total of 4px horizontally for the window outline. This means that we are left with 583px of vertical space and 1276px of horizontal. In other words, a Web Safe Area of 1276 x 583 Is this a correct line of thinking? I'm really surprised that I couldn't find this type of investigation anywhere on the web. Lots of websites talk about designing for 1024x768, but that's only half the equation! There is no mention of browser/OS influences on the actual area you have to display the site/app. Any help on this would be greatly appreciated! Thanks. EDIT Another caveat to my line of thinking above is that different browsers actually take up different amounts of pixels based on the OS they're running on. For example, under WinXP IE8 takes up 142px on top of the screen (instead the aforementioned 120px for Win7) because the file menu shows up by default on XP while in Win7 the file menu is hidden by default. So it looks like on WinXP + IE8 the Web Safe Area would be a mere 572px (768px-142-30-24=572)

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  • Wireless connection works but the internet is too slow to use in Ubuntu 11.04

    - by Garrin
    The internet is so slow as to be unusable. And I'm not being picky. Even after minutes I can't get my Google home page to load. I tried installing a package through apt-get and was getting rates between 0 and a few hundred bytes/s. That's bytes, not kilobytes! Mostly 0 however (no exaggeration, it spends large amounts of time stalled). And I would go to a speed test web site of some kind but I can't since nothing will load. Briefly put, the laptop I am using was connected to two wireless networks while using Ubuntu 11.04 without any issues before this. It was also connected to a wired network without any issues. It dual boats Windows 7 which has never had any issues, not even with the current wireless network. Just to be clear, on the current wi-fi network, Windows 7 encounters no issues (speedtest.net puts the network speed at 1mb/s) but my network connection in Ubuntu 11.04 is so slow as to literally be unusable. I am unfamiliar with the router except for the fact that it boasts a Rogers logo (that's a large ISP/cable provider in Canada for those not familiar with the land of igloos and polar bears). I am far from the router and some desktop widget I use tells me the signal strength is at 58% (it seems fairly reliable and this would appear to match up with the filled bars in the network icon). I should also mention I'm just renting a room in this house so I'm not the network administrator and while I can access the 192.168.0.1 router page, the password wasn't set to 'password' so it's not much use to me. Here are a bunch of commands I ran which don't tell me a whole lot but I thought might be more instructive to the wise around here: lspci (just showing my network card): 05:00.0 Network controller: Atheros Communications Inc. AR928X Wireless Network Adapter (PCI-Express) (rev 01) This one is self explanatory. PING www.googele.com (216.65.41.185) 56(84) bytes of data. 64 bytes from nnw.net (216.65.41.185): icmp_req=1 ttl=51 time=267 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=2 ttl=51 time=190 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=3 ttl=51 time=212 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=4 ttl=51 time=207 ms 64 bytes from nnw.net (216.65.41.185): icmp_req=5 ttl=51 time=220 ms --- www.googele.com ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 4003ms rtt min/avg/max/mdev = 190.079/219.699/267.963/26.121 ms ifconfig eth0 Link encap:Ethernet HWaddr 20:6a:8a:02:20:da UP BROADCAST MULTICAST MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) Interrupt:42 lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:16436 Metric:1 RX packets:16 errors:0 dropped:0 overruns:0 frame:0 TX packets:16 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:0 RX bytes:960 (960.0 B) TX bytes:960 (960.0 B) wlan0 Link encap:Ethernet HWaddr 20:7c:8f:05:c6:bf inet addr:192.168.0.16 Bcast:192.168.0.255 Mask:255.255.255.0 inet6 addr: fe80::227c:8fff:fe05:c6bf/64 Scope:Link UP BROADCAST RUNNING MULTICAST MTU:1500 Metric:1 RX packets:982 errors:0 dropped:0 overruns:0 frame:0 TX packets:658 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:497250 (497.2 KB) TX bytes:95076 (95.0 KB) Thank you

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  • logparser not matching on a LIKE pattern

    - by user79339
    Hi I seem to have the strangest problem. I am using logparser to search an event log for some text that I know is there (i copied and pasted the string from the event into the sql search string). But the sql LIKE statement is returning a empty results. But other LIKE statments seem to be working file. I have even tried using two '%' symbols in case the shell was trying to replace the search pattern with an environment variable '%%NavigationOccuredEventHandler%%', escaping the % with a \ and with a ' but all these just give me "No valid LIKE mask" error My logparser command - C:\Program Files\Log Parser 2.2LogParser.exe "select * from D:\Temp\07i132ppa1_app.evt where Message like '%NavigationOccuredEventHandler%' " -i:EVT -o:Datagrid The Entry in event log (found using "Select * from D:\Temp\07i132ppa1_app.evt" and doing a copy paste of relevant row) - 'D:\Temp\07i132ppa1_app.evt 5976788 2010-03-09 11:53:23 2010-03-09 11:53:23 2 1 Error event 0 None ICP Timestamp: 9/03/2010 1:53:23 AM Message: Error # 068464030040-07I132PPA1 System.Web.HttpUnhandledException: Exception of type 'System.Web.HttpUnhandledException' was thrown. ---> System.NullReferenceException: Object reference not set to an instance of an object. at ClientRegistration.Controller.ContactDetailsController.NavigationOccuredEventHandler(Object sender, NavigateEventArgs e) at Microsoft.ApplicationBlocks.UIProcess.UIPManager.NavigateEventHandler.Invoke(Object sender, NavigateEventArgs e) at Microsoft.ApplicationBlocks.UIProcess.UIPManager.InvokeEventHandlers(State state) in . . . Truncated for brevity ' output Statistics: Elements processed: 240993 Elements output: 0 Execution time: 59.47 seconds But if i searched for the pattern '%object reference not set%' it works fine, returns results. I copied and pasted the string into a dummy sql table and ran the sql query there and it works fine. Just doesn't seem to work in logparser. Very baffling. Any help would be much appreciated

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  • Wicket, Spring and Hibernate - Testing with Unitils - Error: Table not found in statement [select re

    - by John
    Hi there. I've been following a tutorial and a sample application, namely 5 Days of Wicket - Writing the tests: http://www.mysticcoders.com/blog/2009/03/10/5-days-of-wicket-writing-the-tests/ I've set up my own little project with a simple shoutbox that saves messages to a database. I then wanted to set up a couple of tests that would make sure that if a message is stored in the database, the retrieved object would contain the exact same data. Upon running mvn test all my tests fail. The exception has been pasted in the first code box underneath. I've noticed that even though my unitils.properties says to use the 'hdqldb'-dialect, this message is still output in the console window when starting the tests: INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect. I've added the entire dump from the console as well at the bottom of this post (which goes on for miles and miles :-)). Upon running mvn test all my tests fail, and the exception is: Caused by: java.sql.SQLException: Table not found in statement [select relname from pg_class] at org.hsqldb.jdbc.Util.sqlException(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.fetchResult(Unknown Source) at org.hsqldb.jdbc.jdbcStatement.executeQuery(Unknown Source) at org.apache.commons.dbcp.DelegatingStatement.executeQuery(DelegatingStatement.java:188) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.initSequences(DatabaseMetadata.java:151) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:69) at org.hibernate.tool.hbm2ddl.DatabaseMetadata.(DatabaseMetadata.java:62) at org.springframework.orm.hibernate3.LocalSessionFactoryBean$3.doInHibernate(LocalSessionFactoryBean.java:958) at org.springframework.orm.hibernate3.HibernateTemplate.doExecute(HibernateTemplate.java:419) ... 49 more I've set up my unitils.properties file like so: database.driverClassName=org.hsqldb.jdbcDriver database.url=jdbc:hsqldb:mem:PUBLIC database.userName=sa database.password= database.dialect=hsqldb database.schemaNames=PUBLIC My abstract IntegrationTest class: @SpringApplicationContext({"/com/upbeat/shoutbox/spring/applicationContext.xml", "applicationContext-test.xml"}) public abstract class AbstractIntegrationTest extends UnitilsJUnit4 { private ApplicationContext applicationContext; } applicationContext-test.xml: <?xml version="1.0" encoding="UTF-8"? <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tx="http://www.springframework.org/schema/tx" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-2.5.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx-2.5.xsd" <bean id="dataSource" class="org.unitils.database.UnitilsDataSourceFactoryBean"/ </beans and finally, one of the test classes: package com.upbeat.shoutbox.web; import org.apache.wicket.spring.injection.annot.test.AnnotApplicationContextMock; import org.apache.wicket.util.tester.WicketTester; import org.junit.Before; import org.junit.Test; import org.unitils.spring.annotation.SpringBeanByType; import com.upbeat.shoutbox.HomePage; import com.upbeat.shoutbox.integrations.AbstractIntegrationTest; import com.upbeat.shoutbox.persistence.ShoutItemDao; import com.upbeat.shoutbox.services.ShoutService; public class TestHomePage extends AbstractIntegrationTest { @SpringBeanByType private ShoutService svc; @SpringBeanByType private ShoutItemDao dao; protected WicketTester tester; @Before public void setUp() { AnnotApplicationContextMock appctx = new AnnotApplicationContextMock(); appctx.putBean("shoutItemDao", dao); appctx.putBean("shoutService", svc); tester = new WicketTester(); } @Test public void testRenderMyPage() { //start and render the test page tester.startPage(HomePage.class); //assert rendered page class tester.assertRenderedPage(HomePage.class); //assert rendered label component tester.assertLabel("message", "If you see this message wicket is properly configured and running"); } } Dump from console when running mvn test: [INFO] Scanning for projects... [INFO] ------------------------------------------------------------------------ [INFO] Building shoutbox [INFO] task-segment: [test] [INFO] ------------------------------------------------------------------------ [INFO] [resources:resources {execution: default-resources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 3 resources [INFO] Copying 4 resources [INFO] [compiler:compile {execution: default-compile}] [INFO] Nothing to compile - all classes are up to date [INFO] [resources:testResources {execution: default-testResources}] [WARNING] File encoding has not been set, using platform encoding Cp1252, i.e. build is platform dependent! [WARNING] Using platform encoding (Cp1252 actually) to copy filtered resources, i.e. build is platform dependent! [INFO] Copying 2 resources [INFO] [compiler:testCompile {execution: default-testCompile}] [INFO] Nothing to compile - all classes are up to date [INFO] [surefire:test {execution: default-test}] [INFO] Surefire report directory: F:\Projects\shoutbox\target\surefire-reports INFO - ConfigurationLoader - Loaded main configuration file unitils-default.properties from classpath. INFO - ConfigurationLoader - Loaded custom configuration file unitils.properties from classpath. INFO - ConfigurationLoader - No local configuration file unitils-local.properties found. ------------------------------------------------------- T E S T S ------------------------------------------------------- Running com.upbeat.shoutbox.web.TestViewShoutsPage Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.02 sec INFO - Version - Hibernate Annotations 3.4.0.GA INFO - Environment - Hibernate 3.3.0.SP1 INFO - Environment - hibernate.properties not found INFO - Environment - Bytecode provider name : javassist INFO - Environment - using JDK 1.4 java.sql.Timestamp handling INFO - Version - Hibernate Commons Annotations 3.1.0.GA INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [org/springframework/jdbc/support/sql-error-codes.xml] INFO - SQLErrorCodesFactory - SQLErrorCodes loaded: [DB2, Derby, H2, HSQL, Informix, MS-SQL, MySQL, Oracle, PostgreSQL, Sybase] INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@3e0ebb: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - sPathXmlApplicationContext - Refreshing org.springframework.context.support.ClassPathXmlApplicationContext@a8e586: display name [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]; startup date [Tue May 04 18:19:58 CEST 2010]; root of context hierarchy INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [com/upbeat/shoutbox/spring/applicationContext.xml] INFO - XmlBeanDefinitionReader - Loading XML bean definitions from class path resource [applicationContext-test.xml] INFO - DefaultListableBeanFactory - Overriding bean definition for bean 'dataSource': replacing [Generic bean: class [org.apache.commons.dbcp.BasicDataSource]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=close; defined in class path resource [com/upbeat/shoutbox/spring/applicationContext.xml]] with [Generic bean: class [org.unitils.database.UnitilsDataSourceFactoryBean]; scope=singleton; abstract=false; lazyInit=false; autowireMode=0; dependencyCheck=0; autowireCandidate=true; primary=false; factoryBeanName=null; factoryMethodName=null; initMethodName=null; destroyMethodName=null; defined in class path resource [applicationContext-test.xml]] INFO - sPathXmlApplicationContext - Bean factory for application context [org.springframework.context.support.ClassPathXmlApplicationContext@a8e586]: org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1 INFO - pertyPlaceholderConfigurer - Loading properties file from class path resource [application.properties] INFO - DefaultListableBeanFactory - Pre-instantiating singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy INFO - AnnotationBinder - Binding entity from annotated class: com.upbeat.shoutbox.models.ShoutItem INFO - QueryBinder - Binding Named query: item.getById = from ShoutItem item where item.id = :id INFO - QueryBinder - Binding Named query: item.find = from ShoutItem item order by item.timestamp desc INFO - QueryBinder - Binding Named query: item.count = select count(item) from ShoutItem item INFO - EntityBinder - Bind entity com.upbeat.shoutbox.models.ShoutItem on table SHOUT_ITEMS INFO - AnnotationConfiguration - Hibernate Validator not found: ignoring INFO - notationSessionFactoryBean - Building new Hibernate SessionFactory INFO - earchEventListenerRegister - Unable to find org.hibernate.search.event.FullTextIndexEventListener on the classpath. Hibernate Search is not enabled. INFO - ConnectionProviderFactory - Initializing connection provider: org.springframework.orm.hibernate3.LocalDataSourceConnectionProvider INFO - SettingsFactory - RDBMS: HSQL Database Engine, version: 1.8.0 INFO - SettingsFactory - JDBC driver: HSQL Database Engine Driver, version: 1.8.0 INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - TransactionFactoryFactory - Transaction strategy: org.springframework.orm.hibernate3.SpringTransactionFactory INFO - actionManagerLookupFactory - No TransactionManagerLookup configured (in JTA environment, use of read-write or transactional second-level cache is not recommended) INFO - SettingsFactory - Automatic flush during beforeCompletion(): disabled INFO - SettingsFactory - Automatic session close at end of transaction: disabled INFO - SettingsFactory - JDBC batch size: 1000 INFO - SettingsFactory - JDBC batch updates for versioned data: disabled INFO - SettingsFactory - Scrollable result sets: enabled INFO - SettingsFactory - JDBC3 getGeneratedKeys(): disabled INFO - SettingsFactory - Connection release mode: auto INFO - SettingsFactory - Default batch fetch size: 1 INFO - SettingsFactory - Generate SQL with comments: disabled INFO - SettingsFactory - Order SQL updates by primary key: disabled INFO - SettingsFactory - Order SQL inserts for batching: disabled INFO - SettingsFactory - Query translator: org.hibernate.hql.ast.ASTQueryTranslatorFactory INFO - ASTQueryTranslatorFactory - Using ASTQueryTranslatorFactory INFO - SettingsFactory - Query language substitutions: {} INFO - SettingsFactory - JPA-QL strict compliance: disabled INFO - SettingsFactory - Second-level cache: enabled INFO - SettingsFactory - Query cache: enabled INFO - SettingsFactory - Cache region factory : org.hibernate.cache.impl.bridge.RegionFactoryCacheProviderBridge INFO - FactoryCacheProviderBridge - Cache provider: org.hibernate.cache.HashtableCacheProvider INFO - SettingsFactory - Optimize cache for minimal puts: disabled INFO - SettingsFactory - Structured second-level cache entries: disabled INFO - SettingsFactory - Query cache factory: org.hibernate.cache.StandardQueryCacheFactory INFO - SettingsFactory - Echoing all SQL to stdout INFO - SettingsFactory - Statistics: disabled INFO - SettingsFactory - Deleted entity synthetic identifier rollback: disabled INFO - SettingsFactory - Default entity-mode: pojo INFO - SettingsFactory - Named query checking : enabled INFO - SessionFactoryImpl - building session factory INFO - essionFactoryObjectFactory - Not binding factory to JNDI, no JNDI name configured INFO - UpdateTimestampsCache - starting update timestamps cache at region: org.hibernate.cache.UpdateTimestampsCache INFO - StandardQueryCache - starting query cache at region: org.hibernate.cache.StandardQueryCache INFO - notationSessionFactoryBean - Updating database schema for Hibernate SessionFactory INFO - Dialect - Using dialect: org.hibernate.dialect.PostgreSQLDialect INFO - DefaultListableBeanFactory - Destroying singletons in org.springframework.beans.factory.support.DefaultListableBeanFactory@5dfaf1: defining beans [propertyConfigurer,dataSource,sessionFactory,shoutService,shoutItemDao,wicketApplication,org.springframework.aop.config.internalAutoProxyCreator,org.springframework.transaction.annotation.AnnotationTransactionAttributeSource#0,org.springframework.transaction.interceptor.TransactionInterceptor#0,org.springframework.transaction.config.internalTransactionAdvisor,transactionManager]; root of factory hierarchy Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 1.34 sec <<< FAILURE! Running com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0 sec <<< FAILURE! Running com.upbeat.shoutbox.mocks.ShoutServiceTest Tests run: 1, Failures: 0, Errors: 1, Skipped: 0, Time elapsed: 0.01 sec <<< FAILURE! Results : Tests in error: initializationError(com.upbeat.shoutbox.web.TestViewShoutsPage) testRenderMyPage(com.upbeat.shoutbox.web.TestHomePage) initializationError(com.upbeat.shoutbox.integrations.ShoutItemIntegrationTest) initializationError(com.upbeat.shoutbox.mocks.ShoutServiceTest) Tests run: 4, Failures: 0, Errors: 4, Skipped: 0 [INFO] ------------------------------------------------------------------------ [ERROR] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] There are test failures. Please refer to F:\Projects\shoutbox\target\surefire-reports for the individual test results. [INFO] ------------------------------------------------------------------------ [INFO] For more information, run Maven with the -e switch [INFO] ------------------------------------------------------------------------ [INFO] Total time: 3 seconds [INFO] Finished at: Tue May 04 18:19:58 CEST 2010 [INFO] Final Memory: 13M/31M [INFO] ------------------------------------------------------------------------ Any help is greatly appreciated.

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  • Stresstesting ASP.NET/IIS with WCAT

    - by MartinHN
    I'm trying to setup a stress/load test using the WCAT toolkit included in the IIS Resources. Using LogParser, I've processed a UBR file with configuration. It looks something like this: [Configuration] NumClientMachines: 1 # number of distinct client machines to use NumClientThreads: 100 # number of threads per machine AsynchronousWait: TRUE # asynchronous wait for think and delay Duration: 5m # length of experiment (m = minutes, s = seconds) MaxRecvBuffer: 8192K # suggested maximum received buffer ThinkTime: 0s # maximum think-time before next request WarmupTime: 5s # time to warm up before taking statistics CooldownTime: 6s # time to cool down at the end of the experiment [Performance] [Script] SET RequestHeader = "Accept: */*\r\n" APP RequestHeader = "Accept-Language: en-us\r\n" APP RequestHeader = "User-Agent: Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.2; .NET CLR 1.0.3705)\r\n" APP RequestHeader = "Host: %HOST%\r\n" NEW TRANSACTION classId = 1 NEW REQUEST HTTP ResponseStatusCode = 200 Weight = 45117 verb = "GET" URL = "http://Url1.com" NEW TRANSACTION classId = 3 NEW REQUEST HTTP ResponseStatusCode = 200 Weight = 13662 verb = "GET" URL = "http://Url1.com/test.aspx" Does it look OK? I execute the controller with this command: wcctl -z StressTest.ubr -a localhost The Client(s) is executed like this: wcclient localhost When the client is executed, I get this error: main client thread Connect Attempt 0 Failed. Error = 10061 Has anyone in this world ever used WCAT?

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  • R and version control for the solo data analyst

    - by Jeromy Anglim
    Many data analysts that I respect use version control. For example: http://github.com/hadley/ See comments on http://permut.wordpress.com/2010/04/21/revision-control-statistics-bleg/ However, I'm evaluating whether adopting a version control system such as git would be worthwhile. A brief overview: I'm a social scientist who uses R to analyse data for research publications. I don't currently produce R packages. My R code for a project typically includes a few thousand lines of code for data input, cleaning, manipulation, analyses, and output generation. Publications are typically written using LaTeX. With regards to version control there are many benefits which I have read about, yet they seem to be less relevant to the solo data analyst. Backup: I have a backup system already in place. Forking and rewinding: I've never felt the need to do this, but I can see how it could be useful (e.g., you are preparing multiple journal articles based on the same dataset; you are preparing a report that is updated monthly, etc) Collaboration: Most of the time I am analysing data myself, thus, I woudln't get the collaboration benefits of version control. There are also several potential costs involved with adopting version control: Time to evaluate and learn a version control system A possible increase in complexity over my current file management system However, I still have the feeling that I'm missing something. General guides on version control seem to be addressed more towards computer scientists than data analysts. Thus, specifically in relation to data analysts in circumstances similar to those listed above: Is version control worth the effort? What are the main pros and cons of adopting version control? What is a good strategy for getting started with version control for data analysis with R (e.g., examples, workflow ideas, software, links to guides)?

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