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• What the best way to recover from when your RAID H/W incorrectly thinks a disk is missing

  - by Software Monkey

  I have a Windows 7 system with an MSI motherboard (running the latest AMD BIOS) and two of my four disks (not the system boot disk) configured via the Mobo as RAID-1. After a normal system restart today, the RAID BIOS reports that one of the two drives has been disconnected or has failed. It's not really failed; via recovery tools I can verify that if I take the BIOS out of RAID mode. But I can find no way to re-add the second hard disk to the array and rebuild via the BIOS - the only option seems be to delete the array and recreate it, but I've done that once before and it blows away the disk. It's done this once before, however on a subsequent reboot after double-checking the drive cabling (but not changing anything) and it boot up fine. So I think the mobo RAID is a little bit flaky. At this point I would like to remove the RAID drivers, change to AHCI mode and switch over to using a Windows 7 dynamic mirror disk. But the RAID drivers seem somehow deeply bound into the Windows startup - I can't find anything like the good ol' safe-mode in Windows 7. If I boot from the Win 7 install disk in ACHI mode I can use recovery tools to log in to the Windows 7 installation, so the boot drive it seems fine with ACHI mode. Additionally, I can see all my other disks, run chkdsk on them and they seem to be fine. If I try to boot from the HDD in AHCI mode, it just reboots part way through, presumably because the RAID drivers load and conflict with the BIOS being set to AHCI. So: How do I strip the RAID drivers from my Win 7 installation? If I delete the RAID logical disk, will it really delete partitioning information, or is that just a poorly worded message when it says the data on the disk will be deleted? If I disconnect the 2 disks in a RAID array, then delete the logical disk array, and then reconnect and reboot still in RAID mode, will the disks simply revert to RAID single-disks like my other 2 and then maybe I can leave windows with RAID drivers by operate the disks as singles with 2 of them in a Windows dynamic disk mirrored setup? Does Windows 7 have anything like the Windows XP Repair Install, where it will reinstall the O/S binaries from CD, but leave apps and setup alone. I am really hoping I don't have to do a complete reinstall of Windows 7 - the last one, when I upgraded from XP, took me two days to get everything set up and installed.

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• Linux Best Practices

  - by Zac

  I'm a life-long Windows developer switching over to Linux for the first time, and I'm starting off with Ubuntu to ease the learning curve. My new laptop will primarily be a development machine: 6GB RAM, 320 GB HD. I'd like there to be 2 non-root users: (a) Development, which will always be me, and (b) Guest, for anyone else. I assume the root user is added by default, like System Administrator in Windows. (1) I'd like to mount /home to its own partition, but how does this work if I have two user accounts (Development and Guest)? Are there 2 separate /home directories, or do they get shared? Is it possible to allocate more space for Development and only a tiny bit of space for Guest in GRUB2? How?!?! (2) I'm assuming that its okay that all of my development tools (Eclipse & plugins, SVN, JUnit, ant, etc.) and Java will end up getting installed in non-/home directories such as /usr and /opt, but that my Eclipse/SVN workspace will live under my /home directory on a separate partition... any problems, issues, concerns with that? (3) As far as partitioning schemes, nothing too complicated, but not plain Jane either: Boot Partition, 512 MB, in case I want to install other OSes Ubuntu & non-/home file system, 187.5 GB Swap Partition, 12 GB = RAM x 2 /home Partition, 120 GB I don't have any bulky media data (I don't have music or video libraries, this is a lean and mean dev machine) so having 320 GB is like winning the lottery and not knowing what to do with all this space. I figured I'd give a little extra space to the OS/FS partition since I'll be running JEE containers locally and doing a lot of file IO, logging and other memory-instensive operations. Any issues, problems, concerns, suggestions? (4) I was thinking about using ext4; seems to have good filestamping without any space ceiling for me to hit. Any other suggestions for a dev machine? (5) I read somewhere that you need to be careful when you install software as the root user, but I can't remember why. What general caveats do I need to be aware of when doing things (installing packages, making system configurations, etc.) as root vs "Development" user? Thanks!

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• 8 Mac System Features You Can Access in Recovery Mode

  - by Chris Hoffman

  A Mac’s Recovery Mode is for more than just reinstalling Mac OS X. You’ll find many other useful troubleshooting utilities here — you can use these even if your Mac can’t boot normally. To access Recovery Mode, restart your Mac and press and hold the Command + R keys during the boot-up process. This is one of several hidden startup options on a Mac. Reinstall Mac OS X Most people know Recovery Mode as the place you go to reinstall OS X on your Mac. Recovery Mode will download the OS X installer files from teh Intenret if you don’t have them locally, so they don’t take up space on your disk and you’ll never have to hunt for an opearign system disc. Better yet, it will download up-to-date installation files so you don’t have to spend hours installing operating system updates later. Microsoft could learn a lot from Apple here. Restore From a Time Machine Backup Instead of reinstalling OS X, you can choose to restore your Mac from a time machine backup. This is like restoring a system image on another operating system. You’ll need an external disk containing a backup image created on the current computer to do this. Browse the Web The Get Help Online link opens the Safari web browser to Apple’s documentation site. It’s not limited to Apple’s website, though — you can navigate to any website you like. This feature allows you to access and use a browser on your Mac even if it isn’t booting properly. It’s ideal for looking up troubleshooting information. Manage Your Disks The Disk Utility option opens the same Disk Utility you can access from within Mac OS X. It allows you to partition disks, format them, scan disks for problems, wipe drives, and set up drives in a RAID configuration. If you need to edit partitions from outside your operating system, you can just boot into the recovery environment — you don’t have to download a special partitioning tool and boot into it. Choose the Default Startup Disk Click the Apple menu on the bar at the top of your screen and select Startup Disk to access the Choose Startup Disk tool. Use this tool to choose your computer’s default startup disk and reboot into another operating system. For example, it’s useful if you have Windows installed alongside Mac OS X with Boot Camp. Add or Remove an EFI Firmware Password You can also add a firmware password to your Mac. This works like a BIOS password or UEFI password on a Windows or Linux PC. Click the Utilities menu on the bar at the top of your screen and select Firmware Password Utility to open this tool. Use the tool to turn on a firmware password, which will prevent your computer from starting up from a different hard disk, CD, DVD, or USB drive without the password you provide. This prevents people form booting up your Mac with an unauthorized operating system. If you’ve already enabled a firmware password, you can remove it from here. Use Network Tools to Troubleshoot Your Connection Select Utilities > Network Utility to open a network diagnostic tool. This utility provides a graphical way to view your network connection information. You can also use the netstat, ping, lookup, traceroute, whois, finger, and port scan utilities from here. These can be helpful to troubleshoot Internet connection problems. For example, the ping command can demonstrate whether you can communicate with a remote host and show you if you’re experiencing packet loss, while the traceroute command can show you where a connection is failing if you can’t connect to a remote server. Open a Terminal If you’d like to get your hands dirty, you can select Utilities > Terminal to open a terminal from here. This terminal allows you to do more advanced troubleshooting. Mac OS X uses the bash shell, just as typical Linux distributions do. Most people will just need to use the Reinstall Mac OS X option here, but there are many other tools you can benefit from. If the Recovery Mode files on your Mac are damaged or unavailable, your Mac will automatically download them from Apple so you can use the full recovery environment.

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• SQL Developer Blitz at ODTUG Kscope12

  - by thatjeffsmith

  Oracle Development Tools User Group (ODTUG) puts on an outstanding event, and I enjoy that the content comes FIRST. Yes, the after-event parties and entertainment are first class, but I look forward most to sitting in on some excellent sessions. For Kscope12 one would expect Oracle to have a large presence, and you would be absolutely correct! The APEX team will be there in full force, and we’ll have sessions on JDeveloper, ADF, and .NET. But what I want to talk about today is our awesome line-up of coverage for Oracle SQL Developer (Surprise!) DB and Developer’s Toolbox Symposium Kris Rice or @krisrice, Product Development Manager for SQL Developer, will speak at 10AM Sunday about SQL Developer Data Modeler. Our free data modeling solution allows one to reverse engineer a data dictionary to a model, modify it, and create a script of the changes. Collaboration is an important part of any development team; with built-in subversion support, the modeler makes collaboration easy, not just possible. After the morning break, I’ll be talking about SQL Developer’s PL/SQL support. From creating your code, to debugging, tuning, testing, and documenting PL/SQL – SQL Developer fits the bill. Since I have a full hour, I should have time to do a little riff on using source control to version and manage your revisions too! At 3:15 Jagan Athreya will talk about the new integration between SQL Developer and Enterprise Manager Cloud Control 12c. Enabling developers to define changes in SQLDeveloper and allowing DBAs to promote these changes to Test and Production via Enterprise Manager will reduce errors, accelerate productivity, and help eliminate unplanned downtime. Get your SQL Developer groove on at ODTUG Kscope12! Presentations SQL Developer Tips and Tricks Monday June 25, Session 5, 4:15 pm – 5:15 pm I’ll take you through my favorite keyboard shortcuts, top 10 preferences every user should tweak, and spotlight features that the average user probably hasn’t discovered yet. My goal for this session is for everyone to take 1-2 tips they can implement immediately to save mucho time. I enjoy interacting with the audience so no two versions of this presentation are the same. Oracle SQL Developer and Data Modeler New Features When: Tuesday June 26, Session 6, 8:30 am – 9:30 am Ashley Chen, my PM-partner-in-crime, will be covering all the new features from our two latest updates. So if you’re new to SQL Developer, or you’ve been using an older version, stop by and see what new toys you have to play with. I also have a bet with Ashley that she will have more attendees than me, so be sure to show up so I can collect. Debugging PL/SQL With SQL Developer When: Wednesday June 27, Session 16, 3:00 pm – 4:00 pm Me again – sorry. This time I have an entire hour to JUST talk about PL/SQL and debugging! Should you use a watch with a break condition, or a breakpoint with a passcount? How does external debugging with a Perl script work? Can I just debug an anonymous PL/SQL block. So if debugging to you is just a DBMS_OUTPUT.PUT_LINE() call, stop by and see how our IDE can help you take things to the next level! Or is that level++? Hands-on-Training SQL Developer Soup to Nuts When: Tuesday, 8:00 AM – 9:30 AM If you learn by doing, this is the session for you. Bring your own laptop or use one of the lab machines. We’ll give you a VirtualBox OEL image running 11gR2 EE Database with all the fixin’s (that’s Southern speak for Partitioning, Advanced Compression, Tuning & Diagnostic Packs, etc), TimesTen, APEX and much more. All you have to do is login and run through our lab exercises. You can start with a model and work your way up to debugging and testing your own appliction, or you can pick and choose your lessons to suit your needs. We’ll have people on hand to help you out and answer your questions. Booth Hours We’ll be in the vendor area and have our very own ‘demo pod’ for SQL Developer. Between Kris, Ashley, and I we should be able to answer your questions or show you how to ‘do that thing’ in the tool. Or just stop by and say hello! We’ll be around the following hours’ish: Sunday, June 24, 2012 6:00 PM – 8:00 PM Monday, June 25, 2012 9:00 AM – 4:30 PM Tuesday, June 26, 2012 9:30 AM – 3:30 PM Wednesday, June 27, 2012 10:15 AM – 2:00 PM No Excuses – If You Have Questions, This is Your Chance to Get Your Answers! We’re doing just about everything outside of a scavenger hunt to bring information and value to our users. Let us know what you like, what you don’t like, and we’ll do our best to do more of the former and less of the latter!

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• Oracle Day 2013 Istanbul – 14.Kasim.2013

  - by TUFEKCIOGLU,FATIH

  Oracle Day 2013 Istanbul – 14.Kasim.2013 Yeni Teknolojiler. Yeni Dünya.  Sayfa duzgun goruntulenemiyorsa etkinlik takvimine asagidaki linkten ulasabilirsiniz : https://blogs.oracle.com/fatihtufekcioglu/resource/Oracle_Day_Istanbul_14.Kasim.2013_blogs.oracle.com.fatihtufekcioglu.html#! charset=iso-8859-1"> "> Hemen Kaydolun! Oracle Day 2013 Istanbul Istanbul Kongre Merkezi Taskisla Caddesi Harbiye 34367 Istanbul / Türkiye 14 Kasim 2013, Persembe 08:30 - 18:00 LCV: [email protected] Oracle Day 2013 Istanbul Yeni Teknolojiler. Yeni Dünya. 14 Kasim 2013 Sayin Davetlimiz, Teknoloji, dünyayi sürekli degistirmeye devam ediyor. Bulut bilisim, mobil çözümler, büyük veri ve nesnelerin interneti güçlerini birlestirerek, eski is modellerini altüst edip inovasyonu ön plana çikartiyorlar. Organizasyonlar ise bu yeni dünyaya ayak uydurmak için bir yandan sürekli degisimi saglamaya çalisirken, diger yandan da isletmelerini en iyi sekilde yönetmeye devam etmek zorundalar. Peki organizasyonlar bu dengeyi nasil koruyorlar? Oracle Day 2013 Istanbul'da birçok Oracle müsterisinden dinleyeceginiz basari hikayeleriyle bunun nasil mümkün oldugunu görebilirsiniz. Etkinlige katilarak: Teknolojinin, yeni is modellerini ve firsatlarini nasil atesledigini ögrenebilir, Inovasyonu ön plana çikartmak için bilgi teknolojilerini sadelestiren sirketlerin basari hikayelerini dinleyebilir, Sizinle ayni zorluklari tecrübe eden sektör profesyonelleriyle biraraya gelebilir, Oracle'dan en yeni ürün haberlerini ve duyurularini takip etme firsati bulabilirsiniz. Oracle ve is ortaklariyla bulusmak, müsteri basari hikayelerini dinlemek, sosyal ve mobil etkilesimler için firsatlar yakalamak, uygulamali demolar izlemek ve daha fazlasi için Oracle Day 2013 Istanbul'da bize katilmanizdan memnuniyet duyacagiz. Hemen Kaydolun. Saygilarimizla, Oracle Türkiye Oracle Is Ortagi Müsteri Basari Hikayesi TROUG Sunum Ingilizcedir Program 08:30-09:30 Kayit 09:30-10:00 Hos Geldiniz Filiz Dogan, Genel Müdür, Oracle Türkiye 10:00-10:30 Keynote Andrew Sutherland, SVP, EMEA Technology, Oracle 10:30-11:00 Yapi Kredi ve Oracle Cahit Erdogan, Bilisim Teknolojileri ve Operasyon Yönetimi Genel Müdür Yardimcisi, Yapi Kredi Bankasi 11:00-11:30 150. Yasinda Ziraat'te Teknolojinin Dünü, Bugünü, Yarini Yunus Uygur Kocaoglu, Ziraat Teknoloji Genel Müdürü & Bilgi Teknolojileri Yönetimi Genel Müdür Yardimcisi, Ziraat Bankasi 11:30-11:45 Oracle Day'de 5. Yil Sezgin Aslan, Is Gelistirme Grup Yöneticisi, Innova 11:45-13:00 Ögle Yemegi Salon 1 Salon 2 Salon 3 Salon 4 Salon 5 Salon 6 Salon 7 Salon 8 Bulut Bilisim Çözümleri Büyük Veri & Analitik Çözümler Mobil Dünyada Orta Katman Çözümleri Is Uygulamalari I Is Uygulamalari II Modern Veri Merkezi Oracle & Is Ortaklari Çözümleri & Basari Hikayeleri TROUG (Oracle User Group) 13:00-13:30 Bulutunuza Yön Verin! Big Data at Work: Transform Your Business with Analytics Your Blueprint For Driving Enterprise Mobile Strategy Empowering Modern Business in the Cloud - Is Optimizasyonu Hayal Degil! Degisime Dünden Hazir Olmak: "BAT E-Fatura Projesi” Panel: "Türkiye'de Nitelikli Bilisim Elemani Yetistirilmesi" Oracle Oracle Oracle Oracle Oracle Idea Teknoloji British American Tobacco Oracle TROUG 13:30-13:40 Kahve Molasi 13:40-14:10 12c ile Veritabani Buluta Tasindi, Peki ya Siz? Büyüklük Sizde Kalsin BT Öncüleri için Uygulama Sunucusu Platformu Vakif Emeklilik Muhasebe ve Lojistik Sistemler Dönüsüm Projesi JD Edwards EnterpriseOne: Kapsamli, Kullanici Dostu ve Yenilikçi Modern Veri Merkezleri için Etkin Oracle Sunuculari Ziraat Bankasi Exadata Basari Hikayesi Oracle Database 12c Önemli Özellikler (DB/DWH) Oracle Etiya Oracle Innova Oracle Oracle Ziraat Bankasi TROUG 14:10-14:20 Kahve Molasi 14:20-14:50 Oracle Bulutunuza Bir Mimarin Bakisi Odakliligin Gücü: Oracle BI Dashboard Kullanimiyla Performans Yönetimi Kurumsal Uygulamalarin Mobil Dünyaya Entegrasyonu Müsteri Karsisinda Tutarli, Etkin ve Tekil Durus: Mükemmel Müsteri Deneyimi Etkin Planlama ve Satin Alma ile Tedarik Zincirinden "Deger Zinciri"ne Dönüsüm Oracle Uygulamalari için Tasarlanmis Veri Depolama Sistemleri Bütünlesik Sistemler (Engineered Systems) için Platinum Hizmetler Sql/PLSQL Yeni Özellikler Oracle ING Oracle Oracle Oracle Oracle Oracle TROUG 14:50-15:00 Kahve Molasi 15:00-15:30 Oracle Enterprise Manager 12c: How Does It Support the Cloud? Veri Analizinde Yeni Yorum, Endeca ile Yeni Bakis Kurumsal Bilginin Yolculugu Basariya Giden Yol: Satis, Pazarlama ve Sosyal Medya Elele Kurumsal Performans Yönetimi (EPM) ile Is Potansiyelinizi Açiga Çikarin! Oracle Sunucu ve Veri Depolama Teknolojilerine Hizli Geçis - Avea Basari Hikayesi SAP Uygulamalari Oracle Engineered (Bütünlesik) Sistemler ile Daha Iyi Çalisiyor - Koçtas Basari Hikayesi Oracle EBS R12.2 Yeni Özellikler Oracle Gtech Oracle Innova Oracle Oracle Avea Oracle Koçtas TROUG 15:30-15:40 Kahve Molasi 15:40-16:10 Oracle Real Application Testing (RAT) ile Partitioning Islemleri, Oracle RAT'in Finansbank'taki Kullanim Alanlari Degisen Pazar Kosullarina Hizli Bütçe Revizyonu ile Adaptasyon Mobil Cihazlar için Erisim Yönetimi ve Güvenlik Yönetisim, Yasal Uyumluluk ve Süreç Optimizasyonu Lider Ise Alim Çözümü Taleo ile Bireysel Basaridan Kurumsal Basariya Oracle Bütünlesik Sistemleri ile Kendi Bulut Ortaminizi Yaratin Akçelik ERP Seçimi JDEdwards Exadata - Maximum Availability Architecture Best Practices Avea Finansbank IBTECH Gtech Oracle PwC Oracle Oracle Akçelik Kora Oracle 16:10-16:20 Kahve Molasi 16:20-16:50 Orta Katman da Bulutlu Hizli Veri mi Büyük Veri mi? Her Tür Süreç Ihtiyaci için Oracle BPM - Demo CRM Dünyasinin Tecrübeli Yildizi Siebel'in Bugünü ve Yarini Fusion ile IK Stratejilerinizi Bulutlara Tasimak Esnek ve Dinamik Veri Merkezi Altyapilari Kurulum Süresi En SADE ERP. Oracle Business Accelerator ile ERP'de Jet Hizi! Nefis: EDQ, OGG ve ODI Exadata Üzerinde Oracle Oracle Oracle KRBB Oracle Oracle AWR Oracle SADE Organik Labrys Danismanlik TROUG 16:50-18:00 Kokteyl & Oracle Infiniband Konseri PANELISTLER: Esref Adali: ITÜ Bilgisayar Mühendisligi Bölüm Baskani ve Bilisim Enstitüsü Bilgi Teknolojileri Programi Anabilim Dali Baskani Kemal Ciliz: TÜBISAD Yönetim Kurulu Baskani Zekeriya Besiroglu: Oracle Bilgisayar Programcilar Dernegi Yönetim Kurulu Baskani MODERATÖR: Cem Satana, Oracle Genel Müdür Yardimcisi ">Eger bir kamu kurumunun/kurulusunun çalisani veya görevlisi iseniz, bu etkinlige iliskin önemli etik kurallara iliskin bilgi için lütfen buraya tiklayiniz -- Copyright 2013, Oracle and/or its affiliates. All rights reserved. Bize Ulasin | Yasal Uyarilar | Gizlilik Beyani Etkinlik takvimi : https://blogs.oracle.com/fatihtufekcioglu/resource/Oracle_Day_Istanbul_14.Kasim.2013_blogs.oracle.com.fatihtufekcioglu.html#!

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• SQL SERVER – Fundamentals of Columnstore Index

  - by pinaldave

  There are two kind of storage in database. Row Store and Column Store. Row store does exactly as the name suggests – stores rows of data on a page – and column store stores all the data in a column on the same page. These columns are much easier to search – instead of a query searching all the data in an entire row whether the data is relevant or not, column store queries need only to search much lesser number of the columns. This means major increases in search speed and hard drive use. Additionally, the column store indexes are heavily compressed, which translates to even greater memory and faster searches. I am sure this looks very exciting and it does not mean that you convert every single index from row store to column store index. One has to understand the proper places where to use row store or column store indexes. Let us understand in this article what is the difference in Columnstore type of index. Column store indexes are run by Microsoft’s VertiPaq technology. However, all you really need to know is that this method of storing data is columns on a single page is much faster and more efficient. Creating a column store index is very easy, and you don’t have to learn new syntax to create them. You just need to specify the keyword “COLUMNSTORE” and enter the data as you normally would. Keep in mind that once you add a column store to a table, though, you cannot delete, insert or update the data – it is READ ONLY. However, since column store will be mainly used for data warehousing, this should not be a big problem. You can always use partitioning to avoid rebuilding the index. A columnstore index stores each column in a separate set of disk pages, rather than storing multiple rows per page as data traditionally has been stored. The difference between column store and row store approaches is illustrated below: In case of the row store indexes multiple pages will contain multiple rows of the columns spanning across multiple pages. In case of column store indexes multiple pages will contain multiple single columns. This will lead only the columns needed to solve a query will be fetched from disk. Additionally there is good chance that there will be redundant data in a single column which will further help to compress the data, this will have positive effect on buffer hit rate as most of the data will be in memory and due to same it will not need to be retrieved. Let us see small example of how columnstore index improves the performance of the query on a large table. As a first step let us create databaseset which is large enough to show performance impact of columnstore index. The time taken to create sample database may vary on different computer based on the resources. USE AdventureWorks GO -- Create New Table CREATE TABLE [dbo].[MySalesOrderDetail]( [SalesOrderID] [int] NOT NULL, [SalesOrderDetailID] [int] NOT NULL, [CarrierTrackingNumber] [nvarchar](25) NULL, [OrderQty] [smallint] NOT NULL, [ProductID] [int] NOT NULL, [SpecialOfferID] [int] NOT NULL, [UnitPrice] [money] NOT NULL, [UnitPriceDiscount] [money] NOT NULL, [LineTotal] [numeric](38, 6) NOT NULL, [rowguid] [uniqueidentifier] NOT NULL, [ModifiedDate] [datetime] NOT NULL ) ON [PRIMARY] GO -- Create clustered index CREATE CLUSTERED INDEX [CL_MySalesOrderDetail] ON [dbo].[MySalesOrderDetail] ( [SalesOrderDetailID]) GO -- Create Sample Data Table -- WARNING: This Query may run upto 2-10 minutes based on your systems resources INSERT INTO [dbo].[MySalesOrderDetail] SELECT S1.* FROM Sales.SalesOrderDetail S1 GO 100 Now let us do quick performance test. I have kept STATISTICS IO ON for measuring how much IO following queries take. In my test first I will run query which will use regular index. We will note the IO usage of the query. After that we will create columnstore index and will measure the IO of the same. -- Performance Test -- Comparing Regular Index with ColumnStore Index USE AdventureWorks GO SET STATISTICS IO ON GO -- Select Table with regular Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO -- Table 'MySalesOrderDetail'. Scan count 1, logical reads 342261, physical reads 0, read-ahead reads 0. -- Create ColumnStore Index CREATE NONCLUSTERED COLUMNSTORE INDEX [IX_MySalesOrderDetail_ColumnStore] ON [MySalesOrderDetail] (UnitPrice, OrderQty, ProductID) GO -- Select Table with Columnstore Index SELECT ProductID, SUM(UnitPrice) SumUnitPrice, AVG(UnitPrice) AvgUnitPrice, SUM(OrderQty) SumOrderQty, AVG(OrderQty) AvgOrderQty FROM [dbo].[MySalesOrderDetail] GROUP BY ProductID ORDER BY ProductID GO It is very clear from the results that query is performance extremely fast after creating ColumnStore Index. The amount of the pages it has to read to run query is drastically reduced as the column which are needed in the query are stored in the same page and query does not have to go through every single page to read those columns. If we enable execution plan and compare we can see that column store index performance way better than regular index in this case. Let us clean up the database. -- Cleanup DROP INDEX [IX_MySalesOrderDetail_ColumnStore] ON [dbo].[MySalesOrderDetail] GO TRUNCATE TABLE dbo.MySalesOrderDetail GO DROP TABLE dbo.MySalesOrderDetail GO In future posts we will see cases where Columnstore index is not appropriate solution as well few other tricks and tips of the columnstore index. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Index, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL, Technology

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• 11gR2 11.2.0.3 Database Certified with E-Business Suie

  - by Elke Phelps (Oracle Development)

  The 11gR2 11.2.0.2 Database was certified with E-Business Suite (EBS) 11i and EBS 12 almost one year ago today.  I’m pleased to announce that 11.2.0.3, the second patchset for the 11gR2 Database is now certified. Be sure to review the interoperability notes for R11i and R12 for the most up-to-date requirements for deployment. This certification announcement is important as you plan upgrades to the technology stack for your environment. For additional upgrade direction, please refer to the recently published EBS upgrade recommendations article. Database support implications may also be reviewed in the database patching and support article. Oracle E-Business Suite Release 11i Prerequisites 11.5.10.2 + ATG PF.H RUP 6 and higher Certified Platforms Linux x86 (Oracle Linux 4, 5) Linux x86 (RHEL 4, 5) Linux x86 (SLES 10) Linux x86-64 (Oracle Linux 4, 5) -- Database-tier only Linux x86-64 (RHEL 4, 5) -- Database-tier only Linux x86-64 (SLES 10--Database-tier only) Oracle Solaris on SPARC (64-bit) (10) Oracle Solaris on x86-64 (64-bit) (10) -- Database-tier only Pending Platform Certifications Microsoft Windows Server (32-bit) Microsoft Windows Server (64-bit) HP-UX PA-RISC (64-bit) HP-UX Itanium IBM: Linux on System z  IBM AIX on Power Systems Oracle E-Business Suite Release 12 Prerequisites Oracle E-Business Suite Release 12.0.4 or later; or,Oracle E-Business Suite Release 12.1.1 or later Certified Platforms Linux x86 (Oracle Linux 4, 5) Linux x86 (RHEL 4, 5) Linux x86 (SLES 10) Linux x86-64 (Oracle Linux 4, 5) Linux x86-64 (RHEL 4, 5) Linux x86-64 (SLES 10) Oracle Solaris on SPARC (64-bit) (10) Oracle Solaris on x86-64 (64-bit) (10)  -- Database-tier only Pending Platform Certifications Microsoft Windows Server (32-bit) Microsoft Windows Server (64-bit) HP-UX PA-RISC (64-bit) IBM: Linux on System z IBM AIX on Power Systems HP-UX Itanium Database Feature and Option CertificationsThe following 11gR2 11.2.0.2 database options and features are supported for use: Advanced Compression Active Data Guard Advanced Security Option (ASO) / Advanced Networking Option (ANO) Database Vault  Database Partitioning Data Guard Redo Apply with Physical Standby Databases Native PL/SQL compilation Oracle Label Security (OLS) Real Application Clusters (RAC) Real Application Testing SecureFiles Virtual Private Database (VPD) Certification of the following database options and features is still underway: Transparent Data Encryption (TDE) Column Encryption 11gR2 version 11.2.0.3 Transparent Data Encryption (TDE) Tablespace Encryption 11gR2 version 11.2.0.3 About the pending certifications Oracle's Revenue Recognition rules prohibit us from discussing certification and release dates, but you're welcome to monitor or subscribe to this blog for updates, which I'll post as soon as soon as they're available.     EBS 11i References Interoperability Notes - Oracle E-Business Suite Release 11i with Oracle Database 11g Release 2 (11.2.0) (Note 881505.1) Using Oracle 11g Release 2 Real Application Clusters with Oracle E-Business Suite Release 11i (Note 823586.1) Encrypting Oracle E-Business Suite Release 11i Network Traffic using Advanced Security Option and Advanced Networking Option (Note 391248.1) Using Transparent Data Encryption with Oracle E-Business Release 11i (Note 403294.1) Integrating Oracle E-Business Suite Release 11i with Oracle Database Vault 11gR2 (Note 1091086.1) Using Oracle E-Business Suite with a Split Configuration Database Tier on Oracle 11gR2 Version 11.2.0.1.0 (Note 946413.1) Export/Import Process for Oracle E-Business Suite Release 11i Database Instances Using Oracle Database 11g Release 1 or 2 (Note 557738.1) Database Initialization Parameters for Oracle Applications Release 11i (Note 216205.1) EBS 12 References Interoperability Notes - Oracle E-Business Suite Release 12 with Oracle Database 11g Release 2 (11.2.0) (Note 1058763.1) Database Initialization Parameters for Oracle Applications Release 12 (Note 396009.1) Using Oracle 11g Release 2 Real Application Clusters with Oracle E-Business Suite Release 12 (Note 823587.1) Using Transparent Data Encryption with Oracle E-Business Suite Release 12 (Note 732764.1) Integrating Oracle E-Business Suite Release 12 with Oracle Database Vault 11gR2 (Note 1091083.1) Export/Import Process for Oracle E-Business Suite Release 12 Database Instances Using Oracle Database 11g Release 1 or 11g Release 2 (Note 741818.1) Enabling SSL in Oracle Applications Release 12 (Note 376700.1) Related Articles 11gR2 Database Certified with E-Business Suite 11i 11gR2 Database Certified with E-Business Suite 12 11gR2 11.2.0.2 Database Certified with E-Business Suite 12 Can E-Business Users Apply Database Patch Set Updates? On Apps Tier Patching and Support: A Primer for E-Business Suite Users On Database Patching and Support:  A Primer for E-Business Suite Users Quarterly E-Business Suite Upgrade Recommendations;  October 2011 Edition The preceding is intended to outline our general product direction.  It is intended for information purposes only, and may not be incorporated into any contract.   It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decision.  The development, release, and timing of any features or functionality described for Oracle's products remains at the sole discretion of Oracle.

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• An issue with tessellation a model with DirectX11

  - by Paul Ske

  I took the hardware tessellation tutorial from Rastertek and implemended texturing instead of color. This is great, so I wanted to implemended the same techique to a model inside my game editor and I noticed it doesn't draw anything. I compared the detailed tessellation from DirectX SDK sample. Inside the shader file - if I replace the HullInputType with PixelInputType it draws. So, I think because when I compiled the shaders inside the program it compiles VertexShader, PixelShader, HullShader then DomainShader. Isn't it suppose to be VertexShader, HullSHader, DomainShader then PixelShader or does it really not matter? I am just curious why wouldn't the model even be drawn when HullInputType but renders fine with PixelInputType. Shader Code: [code] cbuffer ConstantBuffer { float4x4 WVP; float4x4 World; // the rotation matrix float3 lightvec; // the light's vector float4 lightcol; // the light's color float4 ambientcol; // the ambient light's color bool isSelected; } cbuffer cameraBuffer { float3 cameraDirection; float padding; } cbuffer TessellationBuffer { float tessellationAmount; float3 padding2; } struct ConstantOutputType { float edges[3] : SV_TessFactor; float inside : SV_InsideTessFactor; }; Texture2D Texture; Texture2D NormalTexture; SamplerState ss { MinLOD = 5.0f; MipLODBias = 0.0f; }; struct HullOutputType { float3 position : POSITION; float2 texcoord : TEXCOORD0; float3 normal : NORMAL; float3 tangent : TANGENT; }; struct HullInputType { float4 position : POSITION; float2 texcoord : TEXCOORD0; float3 normal : NORMAL; float3 tangent : TANGENT; }; struct VertexInputType { float4 position : POSITION; float2 texcoord : TEXCOORD; float3 normal : NORMAL; float3 tangent : TANGENT; uint uVertexID : SV_VERTEXID; }; struct PixelInputType { float4 position : SV_POSITION; float2 texcoord : TEXCOORD0; // texture coordinates float3 normal : NORMAL; float3 tangent : TANGENT; float4 color : COLOR; float3 viewDirection : TEXCOORD1; float4 depthBuffer : TEXTURE0; }; HullInputType VShader(VertexInputType input) { HullInputType output; output.position.w = 1.0f; output.position = mul(input.position,WVP); output.texcoord = input.texcoord; output.normal = input.normal; output.tangent = input.tangent; //output.normal = mul(normal,World); //output.tangent = mul(tangent,World); //output.color = output.color; //output.texcoord = texcoord; // set the texture coordinates, unmodified return output; } ConstantOutputType TexturePatchConstantFunction(InputPatch inputPatch,uint patchID : SV_PrimitiveID) { ConstantOutputType output; output.edges[0] = tessellationAmount; output.edges[1] = tessellationAmount; output.edges[2] = tessellationAmount; output.inside = tessellationAmount; return output; } [domain("tri")] [partitioning("integer")] [outputtopology("triangle_cw")] [outputcontrolpoints(3)] [patchconstantfunc("TexturePatchConstantFunction")] HullOutputType HShader(InputPatch patch, uint pointId : SV_OutputControlPointID, uint patchId : SV_PrimitiveID) { HullOutputType output; // Set the position for this control point as the output position. output.position = patch[pointId].position; // Set the input color as the output color. output.texcoord = patch[pointId].texcoord; output.normal = patch[pointId].normal; output.tangent = patch[pointId].tangent; return output; } [domain("tri")] PixelInputType DShader(ConstantOutputType input, float3 uvwCoord : SV_DomainLocation, const OutputPatch patch) { float3 vertexPosition; float2 uvPosition; float4 worldposition; PixelInputType output; // Interpolate world space position with barycentric coordinates float3 vWorldPos = uvwCoord.x * patch[0].position + uvwCoord.y * patch[1].position + uvwCoord.z * patch[2].position; // Determine the position of the new vertex. vertexPosition = vWorldPos; // Calculate the position of the new vertex against the world, view, and projection matrices. output.position = mul(float4(vertexPosition, 1.0f),WVP); // Send the input color into the pixel shader. output.texcoord = uvwCoord.x * patch[0].position + uvwCoord.y * patch[1].position + uvwCoord.z * patch[2].position; output.normal = uvwCoord.x * patch[0].position + uvwCoord.y * patch[1].position + uvwCoord.z * patch[2].position; output.tangent = uvwCoord.x * patch[0].position + uvwCoord.y * patch[1].position + uvwCoord.z * patch[2].position; //output.depthBuffer = output.position; //output.depthBuffer.w = 1.0f; //worldposition = mul(output.position,WVP); //output.viewDirection = cameraDirection.xyz - worldposition.xyz; //output.viewDirection = normalize(output.viewDirection); return output; } [/code] Somethings are commented out but will be in place when fixed. I'm probably not connecting something correctly.

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• How do I prove or disprove "god" objects are wrong?

  - by honestduane

  Problem Summary: Long story short, I inherited a code base and an development team I am not allowed to replace and the use of God Objects is a big issue. Going forward, I want to have us re-factor things but I am getting push-back from the teams who want to do everything with God Objects "because its easier" and this means I would not be allowed to re-factor. I pushed back citing my years of dev experience, that I'm the new boss who was hired to know these things, etc, and so did the third party offshore companies account sales rep, and this is now at the executive level and my meeting is tomorrow and I want to go in with a lot of technical ammo to advocate best practices because I feel it will be cheaper in the long run (And I personally feel that is what the third party is worried about) for the company. My issue is from a technical level, I know its good long term but I'm having trouble with the ultra short term and 6 months term, and while its something I "know" I cant prove it with references and cited resources outside of one person (Robert C. Martin, aka Uncle Bob), as that is what I am being asked to do as I have been told having data from one person and only one person (Robert C Martin) is not good enough of an argument. Question: What are some resources I can cite directly (Title, year published, page number, quote) by well known experts in the field that explicitly say this use of "God" Objects/Classes/Systems is bad (or good, since we are looking for the most technically valid solution)? Research I have already done: I have a number of books here and I have searched their indexes for the use of the words "god object" and "god class". I found that oddly its almost never used and the copy of the GoF book I have for example, never uses it (At least according to the index in front of me) but I have found it in 2 books per the below, but I want more I can use. I checked the Wikipedia page for "God Object" and its currently a stub with little reference links so although I personally agree with that it says, It doesn't have much I can use in an environment where personal experience is not considered valid. The book cited is also considered too old to be valid by the people I am debating these technical points with as the argument they are making is that "it was once thought to be bad but nobody could prove it, and now modern software says "god" objects are good to use". I personally believe that this statement is incorrect, but I want to prove the truth, whatever it is. In Robert C Martin's "Agile Principles, Patterns, and Practices in C#" (ISBN: 0-13-185725-8, hardcover) where on page 266 it states "Everybody knows that god classes are a bad idea. We don't want to concentrate all the intelligence of a system into a single object or a single function. One of the goals of OOD is the partitioning and distribution of behavior into many classes and many function." -- And then goes on to say sometimes its better to use God Classes anyway sometimes (Citing micro-controllers as an example). In Robert C Martin's "Clean Code: A Handbook of Agile Software Craftsmanship" page 136 (And only this page) talks about the "God class" and calls it out as a prime example of a violation of the "classes should be small" rule he uses to promote the Single Responsibility Principle" starting on on page 138. The problem I have is all my references and citations come from the same person (Robert C. Martin), and am from the same single person/source. I am being told that because he is just one guy, my desire to not use "God Classes" is invalid and not accepted as a standard best practice in the software industry. Is this true? Am I doing things wrong from a technical perspective by trying to keep to the teaching of Uncle Bob? God Objects and Object Oriented Programming and Design: The more I think of this the more I think this is more something you learn when you study OOP and its never explicitly called out; Its implicit to good design is my thinking (Feel free to correct me, please, as I want to learn), The problem is I "know" this, but but not everybody does, so in this case its not considered a valid argument because I am effectively calling it out as universal truth when in fact most people are statistically ignorant of it since statistically most people are not programmers. Conclusion: I am at a loss on what to search for to get the best additional results to cite, since they are making a technical claim and I want to know the truth and be able to prove it with citations like a real engineer/scientist, even if I am biased against god objects due to my personal experience with code that used them. Any assistance or citations would be deeply appreciated.

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• Soft lockup after upgrade - cannot install from live CD

  - by nbm

  I dual-boot MacIntel Core 2 duo. nVidia graphics. Ran upgrade from ubuntu 13.10 to 14.04 (64 bit). On restart ran into {numbers} Bug: soft lockup - CPU#0 stuck for 22s! [swapper/0:1] Tried loading earlier kernel: same problem Tried re-installing ubuntu from a liveCD that has worked in the past: version 13.04. Same problem. Tried re-partitioning hard drive using Mac OS X disk utility and then installing ubuntu 14.04LTS from liveCD. Same problem. Not possible to verify liveCD disk (creates same "soft lockup" bug.) Tried installing from the liveCD with version 13.04 that I know works (that's how I got Ubuntu on this machine in the first place.) Same problem. I know this is not a hardware problem as OS X works just fine, I am using it right now on the same machine. I have been using various versions of Ubuntu for 2 years. Things I cannot do: Open a terminal Verify CD image Start ubuntu from CD (same soft lockup problem) This problem is similar to some other questions, none of which have been satisfactorily answered: Ubuntu 14.04 soft lockup on Vostro 3500 Cannot do fresh install of Ubuntu 13.04 while booting from DVD: "soft lockup" bug Live CD stalls when installing Ubuntu 13.10 UPDATE 6/11/14: Following some much-appreciated advice from bain (see below) I burned a 12.04LTS disk and started with kernel parameters: noapic, no1apic, acpi=off, nomodeset, elevator=deadline, and clocksource=jiffies. With all of these parameters I was able to load the 12.04LTS CD ("Try without installing"). It worked fine. However, as soon as I tried to install Ubuntu from the CD, my wired ethernet (eth0) connection would hang. There are already various askubuntu questions and bug reports about this problem, none of which had answers for me. (E.g., dhclient eth0 does nothing, none of the various reset commands does anything, manually setting IP &etc does nothing. I could reliably kill the ethernet connection by clicking "install ubuntu" every single time.) I could go ahead and install 12.04 without an internet connection, but the install would freeze after mostly completing (I tried several times.) There were some relevant error messages in the details of the install output script that, IIRC, had to do with searching for missing files and not being able to access eth0 (internet) to get them. To be honest I gave up at that point and I'm not sure I wrote those down. If I find some notes I will post them. At this point I no longer have Ubuntu on my system. I wiped the partitions and am using exclusively OS X. I am leaving this question in case it helps anyone else with similar problems. I love open source and I love Linux, and the next machine I get I will probably just build from Arch. At the moment I miss repositories and a lot of other things about Ubuntu, but the OS X terminal is 'nix, I can pretty much use all the open source apps I like, and while I am not a fan of the Apple software it gets the job done for me. Unlike Ubuntu, which can't even install. I realize this isn't necessarily a place for a soapbox speech, but when I first installed 12.04 several years ago there were already people in the community complaining that Canonical was going too "commercial". But I loved it. Several years later and all I've seen is Canonical adding more not-so-useful bells and whistles to Ubuntu while continually failing to fix basic problems on upgrades. With a dual-boot (and sometimes triple-boot) system it always took me some tweaking to get an upgrade to work, and to some extent that is okay. But at this point I feel like Canonical ought to just put a price tag on Ubuntu. All I see is more commercialism and advertising and product tie-ins, and ongoing problems do not get fixed. I am a big fan of open-source, not-for profit enterprise. I am also a big fan of for-profit enterprise, which certainly has its place and usefulness. I am not a fan of companies who pretend to be in favor of open source but really are just out to make a buck, and IMNSHO that is what Canonical has become. This is a great community and I wish you all the best, but my next install of Linux will not be Ubuntu.

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• Exadata?????????INSERT?UPDATE

  - by Liu Maclean(???)

  Hybrid Columnar Compression??????Exadata?????????????,??????????(advanced compression)??,Hybrid columnar compression (HCC) ???Exadata????????HCC???????????CU(compression unit?????),??CU??????????,?????????????????????????,???CU????block??????????????? ???????INSERT/UPDATE??,??????????????,????UPDATE/INSERT???HCC?????????????????? hybrid columnar compression???????????????(bulk initial load)??,??????(direct load)??ALTER TABLE MOVE, IMPDP???????(append INSERT),??HCC??????????????????????? ???????????????????,?????????CU????????? ??????????????HCC?????????????for OLTP?????? ????????: SQL*Plus: Release 11.2.0.2.0 Production on Wed Sep 12 06:14:53 2012 Copyright (c) 1982, 2010, Oracle. All rights reserved. Connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.2.0 - Production With the Partitioning, Automatic Storage Management, OLAP, Data Mining and Real Application Testing options SQL> grant dba to scott; Grant succeeded. SQL> conn scott/oracle Connected. SQL> SQL> create table hcc_maclean tablespace users compress for query high as select * from dba_objects; Table created. 1* select rowid,owner,object_name,dbms_rowid.rowid_block_number(rowid) from hcc_maclean where owner='MACLEAN' SQL> / ROWID OWNER OBJECT_NAME DBMS_ROWID.ROWID_BLOCK_NUMBER(ROWID) ------------------------------ ------------------------------ -------------------- ------------------------------------ AAAThuAAEAAAHTJAOI MACLEAN SALES 29897 AAAThuAAEAAAHTJAOJ MACLEAN MYCUSTOMERS 29897 AAAThuAAEAAAHTJAOK MACLEAN MYCUST_ARCHIVE 29897 AAAThuAAEAAAHTJAOL MACLEAN MYCUST_QUERY 29897 AAAThuAAEAAAHTJAOh MACLEAN COMPRESS_QUERY 29897 AAAThuAAEAAAHTJAOi MACLEAN UNCOMPRESS 29897 AAAThuAAEAAAHTJAOj MACLEAN CHAINED_ROWS 29897 AAAThuAAEAAAHTJAOk MACLEAN COMPRESS_QUERY1 29897 8 rows selected. select dbms_rowid.rowid_block_number(rowid),dbms_rowid.rowid_relative_fno(rowid) from hcc_maclean where owner='MACLEAN'; session A: update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where rowid='AAAThuAAEAAAHTJAOI'; session B: update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where rowid='AAAThuAAEAAAHTJAOJ'; SQL> select sid,wait_event_text,BLOCKER_SID from v$wait_chains; SID WAIT_EVENT_TEXT BLOCKER_SID ---------- ---------------------------------------------------------------- ----------- 13 enq: TX - row lock contention 136 136 SQL*Net message from client ????session A block B,????HCC???update row??CU?????CU?????? SQL> alter system checkpoint; System altered. SQL> / System altered. SQL> alter system dump datafile 4 block 29897 2 ; Block header dump: 0x010074c9 Object id on Block? Y seg/obj: 0x1386e csc: 0x00.1cad7e itc: 3 flg: E typ: 1 - DATA brn: 0 bdba: 0x10074c8 ver: 0x01 opc: 0 inc: 0 exflg: 0 Itl Xid Uba Flag Lck Scn/Fsc 0x01 0xffff.000.00000000 0x00000000.0000.00 C--- 0 scn 0x0000.001cabfa 0x02 0x000a.00a.00000430 0x00c051a7.0169.17 ---- 1 fsc 0x0000.00000000 0x03 0x0000.000.00000000 0x00000000.0000.00 ---- 0 fsc 0x0000.00000000 avsp=0x14 tosp=0x14 r0_9ir2=0x0 mec_kdbh9ir2=0x0 76543210 shcf_kdbh9ir2=---------- 76543210 flag_9ir2=--R----- Archive compression: Y fcls_9ir2[0]={ } 0x16:pti[0] nrow=1 offs=0 0x1a:pri[0] offs=0x30 block_row_dump: tab 0, row 0, @0x30 tl: 8016 fb: --H-F--N lb: 0x2 cc: 1 ==>??CU??ITL 0x02 nrid: 0x010074ca.0 col 0: [8004] Compression level: 02 (Query High) Length of CU row: 8004 kdzhrh: ------PC CBLK: 1 Start Slot: 00 NUMP: 01 PNUM: 00 POFF: 7984 PRID: 0x010074ca.0 CU header: CU version: 0 CU magic number: 0x4b445a30 CU checksum: 0xf8faf86e CU total length: 8694 CU flags: NC-U-CRD-OP ncols: 15 nrows: 995 algo: 0 CU decomp length: 8487 len/value length: 100111 row pieces per row: 1 num deleted rows: 1 deleted rows: 904, START_CU: ????????????row?????: SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN','AAAThuAAEAAAHTJAOk') from dual; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN','AAATHUAAEAAAHTJAOK' -------------------------------------------------------------------------------- 4 COMP_NOCOMPRESS CONSTANT NUMBER := 1;COMP_FOR_OLTP CONSTANT NUMBER := 2;COMP_FOR_QUERY_HIGH CONSTANT NUMBER := 4;COMP_FOR_QUERY_LOW CONSTANT NUMBER := 8;COMP_FOR_ARCHIVE_HIGH CONSTANT NUMBER := 16;COMP_FOR_ARCHIVE_LOW CONSTANT NUMBER := 32; COMP_RATIO_MINROWS CONSTANT NUMBER := 1000000;COMP_RATIO_ALLROWS CONSTANT NUMBER := -1; ?????????????,??COMP_FOR_QUERY_HIGH?4,COMP_FOR_QUERY_LOW ?8 ?????????GET_COMPRESSION_TYPE??rowid????????4?????COMP_FOR_QUERY_HIGH????: SQL> update hcc_maclean set OBJECT_NAME=OBJECT_NAME||'DBM' where owner='MACLEAN'; 8 rows updated. SQL> commit; Commit complete. SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',rowid) from HCC_MACLEAN where owner='MACLEAN'; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',ROWID) ------------------------------------------------------------------ 1 1 1 1 1 1 1 1 8 rows selected. ??????????????COMPRESSION_TYPE?COMP_FOR_QUERY_HIGH???COMP_NOCOMPRESS,????????compress for query high????????????????? ?11g????????????????????HCC??????????? ALTER TABLE MOVE???????????????????HCC??? SQL> ALTER TABLE hcc_MACLEAN move COMPRESS FOR ARCHIVE HIGH; Table altered. SQL> select DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',rowid) from HCC_MACLEAN where owner='MACLEAN'; DBMS_COMPRESSION.GET_COMPRESSION_TYPE('SCOTT','HCC_MACLEAN',ROWID) ------------------------------------------------------------------ 16 16 16 16 16 16 16 16 8 rows selected.

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• Implementing a Custom Coherence PartitionAssignmentStrategy

  - by jpurdy

  A recent A-Team engagement required the development of a custom PartitionAssignmentStrategy (PAS). By way of background, a PAS is an implementation of a Java interface that controls how a Coherence partitioned cache service assigns partitions (primary and backup copies) across the available set of storage-enabled members. While seemingly straightforward, this is actually a very difficult problem to solve. Traditionally, Coherence used a distributed algorithm spread across the cache servers (and as of Coherence 3.7, this is still the default implementation). With the introduction of the PAS interface, the model of operation was changed so that the logic would run solely in the cache service senior member. Obviously, this makes the development of a custom PAS vastly less complex, and in practice does not introduce a significant single point of failure/bottleneck. Note that Coherence ships with a default PAS implementation but it is not used by default. Further, custom PAS implementations are uncommon (this engagement was the first custom implementation that we know of). The particular implementation mentioned above also faced challenges related to managing multiple backup copies but that won't be discussed here. There were a few challenges that arose during design and implementation: Naive algorithms had an unreasonable upper bound of computational cost. There was significant complexity associated with configurations where the member count varied significantly between physical machines. Most of the complexity of a PAS is related to rebalancing, not initial assignment (which is usually fairly simple). A custom PAS may need to solve several problems simultaneously, such as: Ensuring that each member has a similar number of primary and backup partitions (e.g. each member has the same number of primary and backup partitions) Ensuring that each member carries similar responsibility (e.g. the most heavily loaded member has no more than one partition more than the least loaded). Ensuring that each partition is on the same member as a corresponding local resource (e.g. for applications that use partitioning across message queues, to ensure that each partition is collocated with its corresponding message queue). Ensuring that a given member holds no more than a given number of partitions (e.g. no member has more than 10 partitions) Ensuring that backups are placed far enough away from the primaries (e.g. on a different physical machine or a different blade enclosure) Achieving the above goals while ensuring that partition movement is minimized. These objectives can be even more complicated when the topology of the cluster is irregular. For example, if multiple cluster members may exist on each physical machine, then clearly the possibility exists that at certain points (e.g. following a member failure), the number of members on each machine may vary, in certain cases significantly so. Consider the case where there are three physical machines, with 3, 3 and 9 members each (respectively). This introduces complexity since the backups for the 9 members on the the largest machine must be spread across the other 6 members (to ensure placement on different physical machines), preventing an even distribution. For any given problem like this, there are usually reasonable compromises available, but the key point is that objectives may conflict under extreme (but not at all unlikely) circumstances. The most obvious general purpose partition assignment algorithm (possibly the only general purpose one) is to define a scoring function for a given mapping of partitions to members, and then apply that function to each possible permutation, selecting the most optimal permutation. This would result in N! (factorial) evaluations of the scoring function. This is clearly impractical for all but the smallest values of N (e.g. a partition count in the single digits). It's difficult to prove that more efficient general purpose algorithms don't exist, but the key take away from this is that algorithms will tend to either have exorbitant worst case performance or may fail to find optimal solutions (or both) -- it is very important to be able to show that worst case performance is acceptable. This quickly leads to the conclusion that the problem must be further constrained, perhaps by limiting functionality or by using domain-specific optimizations. Unfortunately, it can be very difficult to design these more focused algorithms. In the specific case mentioned, we constrained the solution space to very small clusters (in terms of machine count) with small partition counts and supported exactly two backup copies, and accepted the fact that partition movement could potentially be significant (preferring to solve that issue through brute force). We then used the out-of-the-box PAS implementation as a fallback, delegating to it for configurations that were not supported by our algorithm. Our experience was that the PAS interface is quite usable, but there are intrinsic challenges to designing PAS implementations that should be very carefully evaluated before committing to that approach.

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• ????: PostgreSQL??Oracle RAC????

  - by Kumiko Fujita

  ?????????????????????????????????????????????????????????????????????????? ????????????????????????? * * * ?????????????????????????????????????DBMS??????????????????????????????DBMS????????????????????????????????????????????? 1. ???? ?????????????????????????????????????????????????????????????????????1?????? ???????????????? ?????????????????????????????DB???????OSS?PostgreSQL?????AP?????DB??????????????????? ???????? ?????10?????????????GB????????????????????????????DB?????????????????????????? ?????????????3,500?????????24????????????????????????????????????? ??AP?????????????????????????????????????????DB??PostgreSQL??????????????????PostgreSQL ????????????????????Vacuum????????????????????????????????????????????????????? ??????????????????PostgreSQL?OSS??????????????????????????????????????????????????DB MS??????Oracle Database 11gR2???????????????????????500GB???????????????????????????Partitioning ???????? Oracle Database Enterprise Edition?????????????????????????????????????????????? ????SAN?????Active/Standby???HA????????????????? 2. ????? 2.1. ???? PostgreSQL??????Oracle??????????????????????????????????????????????????????TEXT????? ????????????????????Oracle??????????????????????????PostgreSQL??csv???????Oracle Database?SQL*Loa der????????????? ??????????????????????????????DB??????????????Windows?Liunx??????????????????????? ????????????????????????????????????????????????? ?????????????PostgreSQL?NULL?????''????????????Oracle Database???????????????????????? ?????????? table { border-collapse: collapse; } th { border: solid 1px #666666; color: #000000; background-color: #ff9999; } td { border: solid 1px #666666; color: #000000; background-color: #ffffff; } ???? PostgreSQL Oracle Database ??? CHAR(n) CHAR(n),CLOB VARCHAR(n) VARCHAR2(n),CLOB TEXT CLOB ??? NUMERIC NUMBER INTEGER NUMBER SMALLINT NUMBER BIGINT NUMBER REAL NUMBER DOUBLE PRECISION NUMBER ??? DATE DATE TIMESTAMP TIMESTAMP ????? Bytea BLOB LOB BFILE/SecureFiles ??? OID ROWID 2.2. ????? ?????????????PostgreSQL?Oracle Database??????????SQL???????????????????????????????????Postg reSQL?LIMIT?OFFSET??Oracle Database?????????????????????? LIMIT,OFFSET???SELECT?????? /* PostgreSQL LIMIT,OFFSET */ SELECT ??? FROM ????? ORDER BY ???? LIMIT 2 OFFSET 5; /* Oracle Database????? */ SELECT ??? FROM (SELECT ???, ROWNUM line_no FROM (SELECT??? FROM ????? OREDR BY ???? ) ) WHERE line_no BETWEEN 6 AND 7; ??????????????????????????????????????????????????????????????????????????? ?????????????????? ????????????????????????????????????????????????Oracle Database??????????????????????Oracle Database????WHERE??????????????????????????????????????????????????????WHERE?????????????????????? 3. ???? ???????????????????????30%~40%????????????????????80%????????????????????? ?ITpro???:???????4????? ??????????????????????????????????? ·?????·??????????????????????????? ·????????????????????????????? ????????????????????????????????????????? 3.1. ??????? ????????????????????????????????????????·??????????????????????????????????? ???????????????????????????????????????????????????????·?????????????????? ???????????????????????????? (1)???????????????????? (2)???????????????????????????????????????????? (3)??????????????? (4)???????????????????????????????? ???????????·???????????????????????????????????????????????????????????????? ????????????????????? ????????·?? table { border-collapse: collapse; } th { border: solid 1px #666666; color: #000000; background-color: #ff9999; } td { border: solid 1px #666666; color: #000000; background-color: #ffffff; } ?? ?? ?? (1) ?????????? ????????????·???????????????????????? (2) ???????????????????? ?????????????????????????????? (3) ?????4????????????????? ???????????????????????DB????????? (4) ??????????(3)???????? ???????????????????????? ?????????????????????GB???????????????????????????????????????????(3)?????????? ??????? ??????????????????????????????????????????????csv??????????SQL*Loader?Oracle Database?????????????????????Oracle Database???????????????????????????INSERT????????????? ???????????????????????????????????????????????????????????????????????????? ?????????????????????? 3.2. ????? ???????????????????????????????????????????????????????????????????????????? ????????????????????????????????????????????????????????????????????????????????????????????? ?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? 3.3. ????? ??????????????????????????????????????????????????????????????????????????? ??????????????????????? DBMS????????????????????????SQL??????????????????????????????????????????????????PostgreSQL?Oracle Database???????????MVCC?????????????????????????Read Committed??????????????????????????????????????????????????????????????????????????????????? ????????????????DBMS?????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????? 4. ??? PostgreSQL??Oracle Database?????????????????????????????? ????????????·????????????????????????????????????? ??????4???????????????????????·??????????????????? ???????????????????????????????????????????????? ?????????????????????????????????????????????DBMS???????????????????DBMS???????? ?????SQL?????????????????????????????DB???????????????????????????? ???????????????????????????DBMS?????????????????????????????????????????????????????? ??????????????????????????????

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• SQL Server to PostgreSQL - Migration and design concerns

  - by youwhut

  Currently migrating from SQL Server to PostgreSQL and attempting to improve a couple of key areas on the way: I have an Articles table: CREATE TABLE [dbo].[Articles]( [server_ref] [int] NOT NULL, [article_ref] [int] NOT NULL, [article_title] [varchar](400) NOT NULL, [category_ref] [int] NOT NULL, [size] [bigint] NOT NULL ) Data (comma delimited text files) is dumped on the import server by ~500 (out of ~1000) servers on a daily basis. Importing: Indexes are disabled on the Articles table. For each dumped text file Data is BULK copied to a temporary table. Temporary table is updated. Old data for the server is dropped from the Articles table. Temporary table data is copied to Articles table. Temporary table dropped. Once this process is complete for all servers the indexes are built and the new database is copied to a web server. I am reasonably happy with this process but there is always room for improvement as I strive for a real-time (haha!) system. Is what I am doing correct? The Articles table contains ~500 million records and is expected to grow. Searching across this table is okay but could be better. i.e. SELECT * FROM Articles WHERE server_ref=33 AND article_title LIKE '%criteria%' has been satisfactory but I want to improve the speed of searching. Obviously the "LIKE" is my problem here. Suggestions? SELECT * FROM Articles WHERE article_title LIKE '%criteria%' is horrendous. Partitioning is a feature of SQL Server Enterprise but $$$ which is one of the many exciting prospects of PostgreSQL. What performance hit will be incurred for the import process (drop data, insert data) and building indexes? Will the database grow by a huge amount? The database currently stands at 200 GB and will grow. Copying this across the network is not ideal but it works. I am putting thought into changing the hardware structure of the system. The thought process of having an import server and a web server is so that the import server can do the dirty work (WITHOUT indexes) while the web server (WITH indexes) can present reports. Maybe reducing the system down to one server would work to skip the copying across the network stage. This one server would have two versions of the database: one with the indexes for delivering reports and the other without for importing new data. The databases would swap daily. Thoughts? This is a fantastic system, and believe it or not there is some method to my madness by giving it a big shake up. UPDATE: I am not looking for help with relational databases, but hoping to bounce ideas around with data warehouse experts.

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• NoSQL DB for .Net document-based database (ECM)

  - by Dane

  I'm halfway through coding a basic multi-tenant SaaS ECM solution. Each client has it's own instance of the database / datastore, but the .Net app is single instance. The documents are pretty much read only (i.e. an image archive of tiffs or PDFs) I've used MSSQL so far, but then started thinking this might be viable in a NoSQL DB (e.g. MongoDB, CouchDB). The basic premise is that it stores documents, each with their own particular indexes. Each tenant can have multiple document types. e.g. One tenant might have an invoice type, which has Customer ID, Invoice Number and Invoice Date. Another tenant might have an application form, which has Member Number, Application Number, Member Name, and Application Date. So far I've used the old method which Sharepoint (used?) to use, and created a document table which has int_field_1, int_field_2, date_field_1, date_field_2, etc. Then, I've got a "mapping" table which stores the customer specific index name, and the database field that will map to. I've avoided the key-value pair model in the DB due to volume of documents. This way, we can support multiple document types in the one table, and get reasonably high performance out of it, and allow for custom document type searches (i.e. user selects a document type, then they're presented with a list of search fields). However, a NoSQL DB might make this a lot simpler, as I don't need to worry about denormalizing the document. However, I've just got concerns about the rest of the data around a document. We store an "action history" against the document. This tracks views, whether someone emails the document from within the system, and other "future" functionality (e.g. faxing). We have control over the document load process, so we can manipulate the data however it needs to be to get it in the document store (e.g. assign unique IDs). Users will not be adding in their own documents, so we shouldn't need to worry about ACID compliance, as the documents are relatively static. So, my questions I guess : Is a NoSQL DB a good fit Is MongoDB the best for Asp.Net (I saw Raven and Velocity, but they're still kinda beta) Can I store a key for each document, and then store the action history in a MSSQL DB with this key? I don't need to do joins, it would be if a person clicks "View History" against a document. How would performance compare between the two (NoSQL DB vs denormalized "document" table) Volumes would be up to 200,000 new documents per month for a single tenant. My current scaling plan with the SQL DB involves moving the SQL DB into a cluster when certain thresholds are reached, and then reviewing partitioning and indexing structures.

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• how get fully result from Asynchronism communication?

  - by rima

  Hi all refer to these post : here1 and here2 at last I solve my problem by build a asynchronous solution,and it work well!!! but there is a problem that i face with it,now my code is like this: class MyProcessStarter { private Process process; private StreamWriter myStreamWriter; private static StringBuilder shellOutput = null; public String GetShellOutput { get { return shellOutput.ToString(); }} public MyProcessStarter(){ shellOutput = new StringBuilder(""); process = new Process(); process.StartInfo.FileName = "sqlplus"; process.StartInfo.UseShellExecute = false; process.StartInfo.CreateNoWindow = true; process.OutputDataReceived += new DataReceivedEventHandler(ShellOutputHandler); process.StartInfo.RedirectStandardInput = true; process.StartInfo.RedirectStandardOutput = true; //process.StartInfo.RedirectStandardError = true; process.Start(); myStreamWriter = process.StandardInput; process.BeginOutputReadLine(); } private static void ShellOutputHandler(object sendingProcess,DataReceivedEventArgs outLine) { if (!String.IsNullOrEmpty(outLine.Data)) shellOutput.Append(Environment.NewLine + outLine.Data); } public void closeConnection() { myStreamWriter.Close(); process.WaitForExit(); process.Close(); } public void RunCommand(string arguments) { myStreamWriter.WriteLine(arguments); myStreamWriter.Flush(); process.WaitForExit(100); Console.WriteLine(shellOutput); Console.WriteLine("============="+Environment.NewLine); process.WaitForExit(2000); Console.WriteLine(shellOutput); } } and my input is like this: myProcesStarter.RunCommand("myusername/mypassword"); Console.writeline(myProcesStarter.GetShellOutput); but take a look at my out put: SQL*Plus: Release 11.1.0.6.0 - Production on Thu May 20 11:57:38 2010 Copyright (c) 1982, 2007, Oracle. All rights reserved. ============= SQL*Plus: Release 11.1.0.6.0 - Production on Thu May 20 11:57:38 2010 Copyright (c) 1982, 2007, Oracle. All rights reserved. Enter user-name: Connected to: Oracle Database 11g Enterprise Edition Release 11.1.0.6.0 - Production With the Partitioning, OLAP, Data Mining and Real Application Testing options as u see the output for run a function is not same in different time!So now would you do me a faver and help me that how I can wait until all the output done in other mean how I can customize my process to wait until output finishing ?? because I want to write a sqlcompiler so I need the exact output of shell. plz help me soon.thanxxxxxxxxxxxx :X

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• SQL Server architecture guidance

  - by Liam

  Hi, We are designing a new version of our existing product on a new schema. Its an internal web application with possibly 100 concurrent users (max)This will run on a SQL Server 2008 database. On of the discussion items recently is whether we should have a single database of split the database for performance reasons across 2 separate databases. The database could grow anywhere from 50-100GB over 5 years. We are Developers and not DBAs so it would be nice to get some general guidance. [I know the answer is not simple as it depends on the schema, archiving policy, amount of data etc. ] Option 1 Single Main Database [This is my preferred option]. The plan would be to have all the tables in a single database and possibly to use file groups and partitioning to separate the data if required across multiple disks. [Use schema if appropriate]. This should deal with the performance concerns One of the comments wrt this was that the a single server instance would still be processing this data so there would still be a processing bottle neck. For reporting we could have a separate reporting DB but this is still being discussed. Option 2 Split the database into 2 separate databases DB1 - Customers, Accounts, Customer resources etc DB2 - This would contain the bulk of the data [i.e. Vehicle tracking data, financial transaction tables etc]. These tables would typically contain a lot of data. [It could reside on a separate server if required] This plan would involve keeping the main data in a smaller database [DB1] and retaining the [mainly] read only transaction type data in a separate DB [DB2]. The UI would mainly read from DB1 and thus be more responsive. [I'm aware that this option makes it harder for Referential Integrity to be enforced.] Points for consideration As we are at the design stage we can at least make proper use of indexes to deal performance issues so thats why option 1 to me is attractive and its more of a standard approach. For both options we are considering implementing an archiving database. Apologies for the long Question. In summary the question is 1 DB or 2? Thanks in advance, Liam

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• Backup, Migrate or Clone Failing CentOS 4 (LVM)

  - by Hegelworm

  I've been running a BlueQuartz CentOS 4 system (Nuonce.net distro) for a few years now and although the hard drive (Deskstar) has always been a bit noisy, on a few recent occasions I've heard it having trouble spinning up. Basically, I want to clone this drive to a similar sized one (80 Gig). I've spent many hours reading upon dd, dd_rescue, rsync, clonezilla and LVM mirroring yet the sheer number of options and nightmarish accounts has left me frozen - unable to make an informed decision as to how to start. I've made a few attempts. dd failed after about 2 hours, as, although the drives appeared to be identical on the surface (ATA Seagate Barracudas, Thai not Chinese), the destination drive is slightly smaller. My most recent attempt involved using a Debian CD to format the new drive and then rsync-ing everything over and editing the new drive's grub and fstab to reflect the changes. No joy here either as I hadn't chosen LVM when partitioning the destination drive and it wouldn't boot. As you can probably tell, I'm out of my depth here and a panic-invoking mixture of caution and frustration has prompted me to sign up here. The server itself, although not strictly a production environment, has a very specific installation of Festival, LAME and ffMpeg and provides the back-end for a Text-to-Speech jQuery plugin that I've built over the last 2 years. I'm also planning to rebuild the whole TTS system on Debian as the existing CentOS system still has PHP4 etc. For now though, I'd really like to just shift everything over to a new drive. As this is my first post, please feel free to lay any house rules on me that I might've overlooked; I've been hovering around StackOverflow for a while now but have only just signed up. Many thanks. Update: Thanks for your responses so far - it's much appreciated and makes me feel a little more confident when I can double-check things here. I had the idea of doing a fresh install of CentOS (from the original disk) on the new drive so the partitions and LVM were all set up correctly (after disconnecting my source drive to prevent painful mistakes). I then booted into rescue mode from the same CD, and, to avoid a conflicting label, changed the /boot partition's label using e2label to /bootnew. I then changed the VolGroup name using lvm vgrename from VolGroup00 to VolGroup001. I could then boot with both drives in. After mounting the new drive (via its VolGroup001 alias) into /newhd, I rsync-ed over everything I could to the new drive, using -avr switches and backslashes. Like mentioned here. I then disconnected my original source drive again, booted from the liveCD again, changed back the boot partition label from /bootnew to /boot using e2label and then renamed the VolGroup back to VolGroup00. I then rebooted and it went through the familiar start-up routine only to not find a host of files in proc, usr, lib, var etc. The boot did complete but there were lots of red 'FAILS'. I could log in with my existing creds, but the network was kaput, I couldn't startX (desktop GUI) and there were also a few (a lot) of error messages pertaining to iptables. Back to square one. I naively thought I'd nailed it. Shall I just buy a bigger hard drive and attempt the dd route? I've read that this can mess with LVM setups and there's the added risk of working on two unmounted drives at once with a low-level tool. Thanks again.

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• Introducing Oracle VM Server for SPARC

  - by Honglin Su

  As you are watching Oracle's Virtualization Strategy Webcast and exploring the great virtualization offerings of Oracle VM product line, I'd like to introduce Oracle VM Server for SPARC --  highly efficient, enterprise-class virtualization solution for Sun SPARC Enterprise Systems with Chip Multithreading (CMT) technology. Oracle VM Server for SPARC, previously called Sun Logical Domains, leverages the built-in SPARC hypervisor to subdivide supported platforms' resources (CPUs, memory, network, and storage) by creating partitions called logical (or virtual) domains. Each logical domain can run an independent operating system. Oracle VM Server for SPARC provides the flexibility to deploy multiple Oracle Solaris operating systems simultaneously on a single platform. Oracle VM Server also allows you to create up to 128 virtual servers on one system to take advantage of the massive thread scale offered by the CMT architecture. Oracle VM Server for SPARC integrates both the industry-leading CMT capability of the UltraSPARC T1, T2 and T2 Plus processors and the Oracle Solaris operating system. This combination helps to increase flexibility, isolate workload processing, and improve the potential for maximum server utilization. Oracle VM Server for SPARC delivers the following: Leading Price/Performance - The low-overhead architecture provides scalable performance under increasing workloads without additional license cost. This enables you to meet the most aggressive price/performance requirement Advanced RAS - Each logical domain is an entirely independent virtual machine with its own OS. It supports virtual disk mutipathing and failover as well as faster network failover with link-based IP multipathing (IPMP) support. Moreover, it's fully integrated with Solaris FMA (Fault Management Architecture), which enables predictive self healing. CPU Dynamic Resource Management (DRM) - Enable your resource management policy and domain workload to trigger the automatic addition and removal of CPUs. This ability helps you to better align with your IT and business priorities. Enhanced Domain Migrations - Perform domain migrations interactively and non-interactively to bring more flexibility to the management of your virtualized environment. Improve active domain migration performance by compressing memory transfers and taking advantage of cryptographic acceleration hardware. These methods provide faster migration for load balancing, power saving, and planned maintenance. Dynamic Crypto Control - Dynamically add and remove cryptographic units (aka MAU) to and from active domains. Also, migrate active domains that have cryptographic units. Physical-to-virtual (P2V) Conversion - Quickly convert an existing SPARC server running the Oracle Solaris 8, 9 or 10 OS into a virtualized Oracle Solaris 10 image. Use this image to facilitate OS migration into the virtualized environment. Virtual I/O Dynamic Reconfiguration (DR) - Add and remove virtual I/O services and devices without needing to reboot the system. CPU Power Management - Implement power saving by disabling each core on a Sun UltraSPARC T2 or T2 Plus processor that has all of its CPU threads idle. Advanced Network Configuration - Configure the following network features to obtain more flexible network configurations, higher performance, and scalability: Jumbo frames, VLANs, virtual switches for link aggregations, and network interface unit (NIU) hybrid I/O. Official Certification Based On Real-World Testing - Use Oracle VM Server for SPARC with the most sophisticated enterprise workloads under real-world conditions, including Oracle Real Application Clusters (RAC). Affordable, Full-Stack Enterprise Class Support - Obtain worldwide support from Oracle for the entire virtualization environment and workloads together. The support covers hardware, firmware, OS, virtualization, and the software stack. SPARC Server Virtualization Oracle offers a full portfolio of virtualization solutions to address your needs. SPARC is the leading platform to have the hard partitioning capability that provides the physical isolation needed to run independent operating systems. Many customers have already used Oracle Solaris Containers for application isolation. Oracle VM Server for SPARC provides another important feature with OS isolation. This gives you the flexibility to deploy multiple operating systems simultaneously on a single Sun SPARC T-Series server with finer granularity for computing resources.  For SPARC CMT processors, the natural level of granularity is an execution thread, not a time-sliced microsecond of execution resources. Each CPU thread can be treated as an independent virtual processor. The scheduler is naturally built into the CPU for lower overhead and higher performance. Your organizations can couple Oracle Solaris Containers and Oracle VM Server for SPARC with the breakthrough space and energy savings afforded by Sun SPARC Enterprise systems with CMT technology to deliver a more agile, responsive, and low-cost environment. Management with Oracle Enterprise Manager Ops Center The Oracle Enterprise Manager Ops Center Virtualization Management Pack provides full lifecycle management of virtual guests, including Oracle VM Server for SPARC and Oracle Solaris Containers. It helps you streamline operations and reduce downtime. Together, the Virtualization Management Pack and the Ops Center Provisioning and Patch Automation Pack provide an end-to-end management solution for physical and virtual systems through a single web-based console. This solution automates the lifecycle management of physical and virtual systems and is the most effective systems management solution for Oracle's Sun infrastructure. Ease of Deployment with Configuration Assistant The Oracle VM Server for SPARC Configuration Assistant can help you easily create logical domains. After gathering the configuration data, the Configuration Assistant determines the best way to create a deployment to suit your requirements. The Configuration Assistant is available as both a graphical user interface (GUI) and terminal-based tool. Oracle Solaris Cluster HA Support The Oracle Solaris Cluster HA for Oracle VM Server for SPARC data service provides a mechanism for orderly startup and shutdown, fault monitoring and automatic failover of the Oracle VM Server guest domain service. In addition, applications that run on a logical domain, as well as its resources and dependencies can be controlled and managed independently. These are managed as if they were running in a classical Solaris Cluster hardware node. Supported Systems Oracle VM Server for SPARC is supported on all Sun SPARC Enterprise Systems with CMT technology. UltraSPARC T2 Plus Systems ·   Sun SPARC Enterprise T5140 Server ·   Sun SPARC Enterprise T5240 Server ·   Sun SPARC Enterprise T5440 Server ·   Sun Netra T5440 Server ·   Sun Blade T6340 Server Module ·   Sun Netra T6340 Server Module UltraSPARC T2 Systems ·   Sun SPARC Enterprise T5120 Server ·   Sun SPARC Enterprise T5220 Server ·   Sun Netra T5220 Server ·   Sun Blade T6320 Server Module ·   Sun Netra CP3260 ATCA Blade Server Note that UltraSPARC T1 systems are supported on earlier versions of the software.Sun SPARC Enterprise Systems with CMT technology come with the right to use (RTU) of Oracle VM Server, and the software is pre-installed. If you have the systems under warranty or with support, you can download the software and system firmware as well as their updates. Oracle Premier Support for Systems provides fully-integrated support for your server hardware, firmware, OS, and virtualization software. Visit oracle.com/support for information about Oracle's support offerings for Sun systems. For more information about Oracle's virtualization offerings, visit oracle.com/virtualization.

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• SSIS Lookup component tuning tips

  - by jamiet

  Yesterday evening I attended a London meeting of the UK SQL Server User Group at Microsoft’s offices in London Victoria. As usual it was both a fun and informative evening and in particular there seemed to be a few questions arising about tuning the SSIS Lookup component; I rattled off some comments and figured it would be prudent to drop some of them into a dedicated blog post, hence the one you are reading right now. Scene setting A popular pattern in SSIS is to use a Lookup component to determine whether a record in the pipeline already exists in the intended destination table or not and I cover this pattern in my 2006 blog post Checking if a row exists and if it does, has it changed? (note to self: must rewrite that blog post for SSIS2008). Fundamentally the SSIS lookup component (when using FullCache option) sucks some data out of a database and holds it in memory so that it can be compared to data in the pipeline. One of the big benefits of using SSIS dataflows is that they process data one buffer at a time; that means that not all of the data from your source exists in the dataflow at the same time and is why a SSIS dataflow can process data volumes that far exceed the available memory. However, that only applies to data in the pipeline; for reasons that are hopefully obvious ALL of the data in the lookup set must exist in the memory cache for the duration of the dataflow’s execution which means that any memory used by the lookup cache will not be available to be used as a pipeline buffer. Moreover, there’s an obvious correlation between the amount of data in the lookup cache and the time it takes to charge that cache; the more data you have then the longer it will take to charge and the longer you have to wait until the dataflow actually starts to do anything. For these reasons your goal is simple: ensure that the lookup cache contains as little data as possible. General tips Here is a simple tick list you can follow in order to tune your lookups: Use a SQL statement to charge your cache, don’t just pick a table from the dropdown list made available to you. (Read why in SELECT *... or select from a dropdown in an OLE DB Source component?) Only pick the columns that you need, ignore everything else Make the database columns that your cache is populated from as narrow as possible. If a column is defined as VARCHAR(20) then SSIS will allocate 20 bytes for every value in that column – that is a big waste if the actual values are significantly less than 20 characters in length. Do you need DT_WSTR typed columns or will DT_STR suffice? DT_WSTR uses twice the amount of space to hold values that can be stored using a DT_STR so if you can use DT_STR, consider doing so. Same principle goes for the numerical datatypes DT_I2/DT_I4/DT_I8. Only populate the cache with data that you KNOW you will need. In other words, think about your WHERE clause! Thinking outside the box It is tempting to build a large monolithic dataflow that does many things, one of which is a Lookup. Often though you can make better use of your available resources by, well, mixing things up a little and here are a few ideas to get your creative juices flowing: There is no rule that says everything has to happen in a single dataflow. If you have some particularly resource intensive lookups then consider putting that lookup into a dataflow all of its own and using raw files to pass the pipeline data in and out of that dataflow. Know your data. If you think, for example, that the majority of your incoming rows will match with only a small subset of your lookup data then consider chaining multiple lookup components together; the first would use a FullCache containing that data subset and the remaining data that doesn’t find a match could be passed to a second lookup that perhaps uses a NoCache lookup thus negating the need to pull all of that least-used lookup data into memory. Do you need to process all of your incoming data all at once? If you can process different partitions of your data separately then you can partition your lookup cache as well. For example, if you are using a lookup to convert a location into a [LocationId] then why not process your data one region at a time? This will mean your lookup cache only has to contain data for the location that you are currently processing and with the ability of the Lookup in SSIS2008 and beyond to charge the cache using a dynamically built SQL statement you’ll be able to achieve it using the same dataflow and simply loop over it using a ForEach loop. Taking the previous data partitioning idea further … a dataflow can contain more than one data path so why not split your data using a conditional split component and, again, charge your lookup caches with only the data that they need for that partition. Lookups have two uses: to (1) find a matching row from the lookup set and (2) put attributes from that matching row into the pipeline. Ask yourself, do you need to do these two things at the same time? After all once you have the key column(s) from your lookup set then you can use that key to get the rest of attributes further downstream, perhaps even in another dataflow. Are you using the same lookup data set multiple times? If so, consider the file caching option in SSIS 2008 and beyond. Above all, experiment and be creative with different combinations. You may be surprised at what works. Final  thoughts If you want to know more about how the Lookup component differs in SSIS2008 from SSIS2005 then I have a dedicated blog post about that at Lookup component gets a makeover. I am on a mini-crusade at the moment to get a BULK MERGE feature into the database engine, the thinking being that if the database engine can quickly merge massive amounts of data in a similar manner to how it can insert massive amounts using BULK INSERT then that’s a lot of work that wouldn’t have to be done in the SSIS pipeline. If you think that is a good idea then go and vote for BULK MERGE on Connect. If you have any other tips to share then please stick them in the comments. Hope this helps! @Jamiet Share this post: email it! | bookmark it! | digg it! | reddit! | kick it! | live it!

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• Is Berkeley DB a NoSQL solution?

  - by Gregory Burd

  Berkeley DB is a library. To use it to store data you must link the library into your application. You can use most programming languages to access the API, the calls across these APIs generally mimic the Berkeley DB C-API which makes perfect sense because Berkeley DB is written in C. The inspiration for Berkeley DB was the DBM library, a part of the earliest versions of UNIX written by AT&T's Ken Thompson in 1979. DBM was a simple key/value hashtable-based storage library. In the early 1990s as BSD UNIX was transitioning from version 4.3 to 4.4 and retrofitting commercial code owned by AT&T with unencumbered code, it was the future founders of Sleepycat Software who wrote libdb (aka Berkeley DB) as the replacement for DBM. The problem it addressed was fast, reliable local key/value storage. At that time databases almost always lived on a single node, even the most sophisticated databases only had simple fail-over two node solutions. If you had a lot of data to store you would choose between the few commercial RDBMS solutions or to write your own custom solution. Berkeley DB took the headache out of the custom approach. These basic market forces inspired other DBM implementations. There was the "New DBM" (ndbm) and the "GNU DBM" (GDBM) and a few others, but the theme was the same. Even today TokyoCabinet calls itself "a modern implementation of DBM" mimicking, and improving on, something first created over thirty years ago. In the mid-1990s, DBM was the name for what you needed if you were looking for fast, reliable local storage. Fast forward to today. What's changed? Systems are connected over fast, very reliable networks. Disks are cheep, fast, and capable of storing huge amounts of data. CPUs continued to follow Moore's Law, processing power that filled a room in 1990 now fits in your pocket. PCs, servers, and other computers proliferated both in business and the personal markets. In addition to the new hardware entire markets, social systems, and new modes of interpersonal communication moved onto the web and started evolving rapidly. These changes cause a massive explosion of data and a need to analyze and understand that data. Taken together this resulted in an entirely different landscape for database storage, new solutions were needed. A number of novel solutions stepped up and eventually a category called NoSQL emerged. The new market forces inspired the CAP theorem and the heated debate of BASE vs. ACID. But in essence this was simply the market looking at what to trade off to meet these new demands. These new database systems shared many qualities in common. There were designed to address massive amounts of data, millions of requests per second, and scale out across multiple systems. The first large-scale and successful solution was Dynamo, Amazon's distributed key/value database. Dynamo essentially took the next logical step and added a twist. Dynamo was to be the database of record, it would be distributed, data would be partitioned across many nodes, and it would tolerate failure by avoiding single points of failure. Amazon did this because they recognized that the majority of the dynamic content they provided to customers visiting their web store front didn't require the services of an RDBMS. The queries were simple, key/value look-ups or simple range queries with only a few queries that required more complex joins. They set about to use relational technology only in places where it was the best solution for the task, places like accounting and order fulfillment, but not in the myriad of other situations. The success of Dynamo, and it's design, inspired the next generation of Non-SQL, distributed database solutions including Cassandra, Riak and Voldemort. The problem their designers set out to solve was, "reliability at massive scale" so the first focal point was distributed database algorithms. Underneath Dynamo there is a local transactional database; either Berkeley DB, Berkeley DB Java Edition, MySQL or an in-memory key/value data structure. Dynamo was an evolution of local key/value storage onto networks. Cassandra, Riak, and Voldemort all faced similar design decisions and one, Voldemort, choose Berkeley DB Java Edition for it's node-local storage. Riak at first was entirely in-memory, but has recently added write-once, append-only log-based on-disk storage similar type of storage as Berkeley DB except that it is based on a hash table which must reside entirely in-memory rather than a btree which can live in-memory or on disk. Berkeley DB evolved too, we added high availability (HA) and a replication manager that makes it easy to setup replica groups. Berkeley DB's replication doesn't partitioned the data, every node keeps an entire copy of the database. For consistency, there is a single node where writes are committed first - a master - then those changes are delivered to the replica nodes as log records. Applications can choose to wait until all nodes are consistent, or fire and forget allowing Berkeley DB to eventually become consistent. Berkeley DB's HA scales-out quite well for read-intensive applications and also effectively eliminates the central point of failure by allowing replica nodes to be elected (using a PAXOS algorithm) to mastership if the master should fail. This implementation covers a wide variety of use cases. MemcacheDB is a server that implements the Memcache network protocol but uses Berkeley DB for storage and HA to replicate the cache state across all the nodes in the cache group. Google Accounts, the user authentication layer for all Google properties, was until recently running Berkeley DB HA. That scaled to a globally distributed system. That said, most NoSQL solutions try to partition (shard) data across nodes in the replication group and some allow writes as well as reads at any node, Berkeley DB HA does not. So, is Berkeley DB a "NoSQL" solution? Not really, but it certainly is a component of many of the existing NoSQL solutions out there. Forgetting all the noise about how NoSQL solutions are complex distributed databases when you boil them down to a single node you still have to store the data to some form of stable local storage. DBMs solved that problem a long time ago. NoSQL has more to do with the layers on top of the DBM; the distributed, sometimes-consistent, partitioned, scale-out storage that manage key/value or document sets and generally have some form of simple HTTP/REST-style network API. Does Berkeley DB do that? Not really. Is Berkeley DB a "NoSQL" solution today? Nope, but it's the most robust solution on which to build such a system. Re-inventing the node-local data storage isn't easy. A lot of people are starting to come to appreciate the sophisticated features found in Berkeley DB, even mimic them in some cases. Could Berkeley DB grow into a NoSQL solution? Absolutely. Our key/value API could be extended over the net using any of a number of existing network protocols such as memcache or HTTP/REST. We could adapt our node-local data partitioning out over replicated nodes. We even have a nice query language and cost-based query optimizer in our BDB XML product that we could reuse were we to build out a document-based NoSQL-style product. XML and JSON are not so different that we couldn't adapt one to work with the other interchangeably. Without too much effort we could add what's missing, we could jump into this No SQL market withing a single product development cycle. Why isn't Berkeley DB already a NoSQL solution? Why aren't we working on it? Why indeed...

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• New OFM versions released SOA Suite 11.1.1.4 &amp; BPM 11.1.1.4 &amp; JDeveloper 11.1.1.4 WebLogic on JRockit 10.3.4 feedback from the community

  - by Jürgen Kress

  Oracle SOA Suite 11g Installations This is the latest release of the Oracle SOA Suite 11g. Please see the Documentation tab for Release Notes, Installation Guides and other release specific information. Please also see the List of New Features and Samples provided for this release. Release 11gR1 (11.1.1.4.0) Microsoft Windows (32-bit JVM) Linux (32-bit JVM) Generic Oracle JDeveloper 11g Rel 1 (11.1.1.x) (JDeveloper + ADF) Integrated development environment certified on Windows, Linux, and Macintosh. License is free (read the Pricing FAQ). Studio Edition for Windows (1.2 GB) | Studio Edition for Linux (1.3 GB) | See All See Additional Development Tools Oracle WebLogic Server 11g Rel 1 (10.3.4) Installers The WebLogic Server installers include Oracle Coherence and Oracle Enterprise Pack for Eclipse and supports development with other Fusion Middleware products . The zip includes WebLogic Server only and is intended for WebLogic Server development only. Linux x86 (1.1 GB) | Windows x86 (1 GB) Zip for Windows x86, Linux x86, Mac OS X (316 MB) | See All Oracle WebLogic Server 11gR1 (10.3.4) on JRockit Virtual Edition Download For additional downloads please visit the Oracle Fusion Middleware Products Update Center Share your feedback with the @soacommunity on twitter SOASimone Simone Geib SOA Suite 11gR1 (11.1.1.4.0) has just been released: http://www.oracle.com/technetwork/middleware/soasuite/downloads/index.html gschmutz gschmutz My new blog post: WebLogic Server, JDev, SOA, BPM, OSB and CEP 11.1.1.4 (PS3) available! - http://tinyurl.com/4negnpn simon_haslam Simon Haslam I'm very pleased to see WLS 10.3.4 for JRockit VE launched at the same time as the rest of PS3 http://j.mp/gl1nQm (32bit anyway) lucasjellema Lucas Jellema See http://www.oracle.com/ocom/groups/public/@otn/documents/webcontent/156082.xml for PS3 extension downloads BPM, SOA Editor, WebCenter demed demed List of new features in @OracleSOA 11gR1 PS3: http://bit.ly/fVRwsP is not extremely long but huge release by # of bugs fixed. Go! biemond Edwin Biemond WebLogic 10.3.4 new features http://bit.ly/f7L1Eu Exalogic Elastic Cloud , JPA2 , Maven plugin, OWSM policies on WebLogic SCA applications JDeveloper JDeveloper & ADF JDeveloper and Oracle ADF 11g Release 1 Patch Set 3 (11.1.1.4.0): New Features and Bug Fixes http://bit.ly/feghnY simon_haslam Simon Haslam WebLogic Server 10.3.4 (i.e. 11gR1 PS3) available now too http://bit.ly/eeysZ2 JDeveloper JDeveloper & ADF Share your impressions on the new JDeveloper 11g Patchset 3 release that came out today! Download it here: http://bit.ly/dogRN8 VikasAatOracle Vikas Anand SOA Suite 11gR1PS3 is Hotpluggable ...see list of features that @Demed posted..#soa #soacommunity   New versions of Oracle Fusion Middleware 11g R1 (11.1.1.4.x)  include: Oracle WebLogic Server 11g R1 (10.3.4) Oracle SOA Suite 11g R1 (11.1.1.4.0) Oracle Business Process Management 11g R1 (11.1.1.4.0) Oracle Complex Event Processing 11g R1 (11.1.1.4.0) Oracle Application Integration Architecture Foundation Pack 11g R1 (11.1.1.4.0) Oracle Service Bus 11g R1 (11.1.1.4.0) Oracle Enterprise Repository 11g R1 (11.1.1.4.0) Oracle Identity Management 11g R1 (11.1.1.4.0) Oracle Enterprise Content Management 11g R1 (11.1.1.4.0) Oracle WebCenter 11g R1 (11.1.1.4.0) - coming soon Oracle Forms, Reports, Portal & Discoverer 11g R1 (11.1.1.4.0) Oracle Repository Creation Utility 11g R1 (11.1.1.4.0) Oracle JDeveloper & Application Development Runtime 11g R1 (11.1.1.4.0) Resources Download  (OTN) Certification Documentation   New Features in Oracle SOA Suite 11g Release 1 (11.1.1.4.0) Updated: January, 2011 Go to Oracle SOA Suite 11g Doc Introduction Oracle SOA Suite 11gR1 (11.1.1.4.0) includes both bug fixes as well as new features listed below - click on the title of each feature for more details. Downloads, documentation links and more information on the Oracle SOA Suite available on the SOA Suite OTN page and as always, we welcome your feedback on the SOA OTN forum. New in Oracle SOA Suite in this release BPEL Component BPEL 2.0 support in JDeveloper The BPEL editor in JDeveloper now generates BPEL 2.0 code and introduces several new activities. Augmented XML variables auto-initialization capabilities The XML variable auto-initialization capabilities have been enhanced to support two need additional use cases: to initialize the to-spec node if it doesn't exist during the rule and to initialize array elements. New Assign Activity dialog The new Assign Activity supports the same drag & drop paradigm used for the XSLT mapper, greatly streamlining the task of assigning multiple variables. Mediator Component Time window parameter for the resequencer This new parameter lets users initiate a best-effort resequencing based on a time window rather than a number of messages. Support for attachments in the Mediator assign dialog The Mediator assign dialog now supports attachment, enabling usage of the Mediator to transmit attachments even if source and target schemas are different. Adapters & Bindings ChunkSize property added to the File Adapter header properties The ChunkSize property of the File Adapter is now available as a header property, allowing in-process modification of the value for this property. Improved support for distributed WLS JMS topics though automatic rebalancing of listeners The JMS Adapter has been enhanced to subscribe to administrative events from WLS JMS. Based on these events, it dynamically rebalances listeners when there are changes to the members of a local or remote WLS JMS distributed destination. JDeveloper configuration wizard for custom JCA adapters A new wizard is available in JDeveloper to configure custom-built adapters Administration & Enterprise Manager Enhanced purging capabilities to manage database growth Historical instance data can now be purged using three different strategies: batch script, scheduled batch script or data partitioning. Asynchronous bulk instance deletion in Enterprise Manager Bulk deletion of instances in Enterprise Manager now executes as an asynchronous operation in Enterprise Manager, returning control to the user as soon as the action has been submitted and acknowledged. B2B Ability to schedule partner downtime This feature allows trading partners to notify each other about planned downtime and to delay delivery of messages during that period. Message sequencing B2B now supports both inbound and outbound message sequencing. Simplified BAM integration with B2B B2B ships with various pre-configured artifacts to simplify monitoring in BAM. Instance Message Java API for B2B The new instance message Java API supports programmatic access to B2B instance message data. Oracle Service Bus (OSB) Certification of the File and FTP JCA Adapters The File and FTP JCA adapters are now certified for use with Oracle Service Bus (in addition to the native transports). Security enhancements Oracle Service Bus now supports SAML 2.0 as well as the OWSM authorization policies. Check the Oracle Service Bus 11.1.1.4 Release Notes for a complete list of new features. Installation, Hot-Pluggability & Certifications Ability to run Oracle SOA Suite on IBM WebSphere Application Server Oracle SOA Suite can now be deployed on IBM WebSphere Application Server Network Deployment (ND) 7.0.11 and IBM WebSphere Application Server 7.0.11. Single JVM developer installation template Oracle SOA Suite can now be targeted to the WebLogic admin server - there is no requirement to also have a managed server. This topology is intended to minimize the memory foorprint of development environments. This is in addition to the list of supported browsers, operating systems and databases already certified in prior releases. Complex Event Processing (CEP) IDE enhancements This release introduces several enhancements to the development IDE, such as adapter wizards and event-type repository. CQL enhancements CQL enhancements include JDBC data cartridges and parametrized queries. Tracing and injecting events in the Event Processing Network (EPN) In the development environment you can now trace and inject events. Check the Oracle CEP 11.1.1.4 Release Notes for a complete list of new features. SOA Suite page on OTN For more information on SOA Specialization and the SOA Partner Community please feel free to register at www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: SOA Suite 11.1.1.4,JDeveloper 11.1.1.4,WebLogic 10.3.4,JRockit 10.3.4,SOA Community,Oracle,OPN,SOA,Simone Geib,Guido Schmutz,Edwin Biemond,Lucas Jellema,Simon Haslam,Demed,Vikas Anand,Jürgen Kress

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• top tweets WebLogic Partner Community – June 2013

  - by JuergenKress

  Send us your tweets @wlscommunity #WebLogicCommunity and follow us on twitter http://twitter.com/wlscommunity. Please feel free to send us your news! Lucas Jellema ?Getting started with Java EE 7: The Tutorial http://docs.oracle.com/javaee/7/tutorial/doc/home.htm … Simon Haslam I'm looking forward to starting a "WLS on ODA" proof of concept - some ideas for testing: http://www.veriton.co.uk/roller/fmw/entry/virtualised_oda_proof_of_concept … Frank Munz ?It's not too late - I just submitted two presentations about #OracleWebLogic and #Coherence for the @DOAGeV conference in Nürnberg. Did you? Arun Gupta ?Tyrus 1.0 User Guide: https://tyrus.java.net/documentation/1.0/user-guide.html … #WebSocket #JavaEE7 #GlassFish Arun Gupta #JavaEE7 Launch Webinar Technical Breakout replays on Youtube: http://bit.ly/12uUicT JSON 1.0 , EJB .2, Batch 1.0 more coming! OracleBlogs ?FREE Virtual Developer Day: Java SE, Java EE, Java Emebedded on Jun 19th and 25th http://ow.ly/2xBkwV Markus Eisele #Oracle #JavaSE Critical Patch Update Pre-Release Announcement - June 2013 http://www.oracle.com/technetwork/topics/security/javacpujun2013-1899847.html … #security OracleSupport_WLS ?Simple Custom #JMX MBeans with #WebLogic 12c and #Spring http://pub.vitrue.com/3kEr Oracle Technet Building Java HTML5/WebSocket Applications with JSR 356 - 4pm - Grand Ballroom Salon A/B #qconnewyork WebLogic Community Oracle Fusion Middleware (OFM) 11g (11.1.1.7) Starter Kit available & Customizable Demos http://wp.me/p1LMIb-BK Oracle Technet #Java EE 7: Moving Java Forward for the Enterprise | @java http://pub.vitrue.com/tHiM OTNArchBeat ?Oracle Forms to ADF Modernization Reference - Convero (AMEC) Project | @AndrejusB http://pub.vitrue.com/lZPR WebLogic Community ?ExaLogic In Memory Applications & Whitepapers Building Large Scale E-Commerce Platforms & Rethink the Entire Application Lifecycle… WebLogic Community ?Coherence YouTube videos http://wp.me/p1LMIb-BG Arun Gupta ?WARNING: Next 2 days are going to be loaded with #JavaEE7 launch related tweets, and offline next week! JDeveloper & ADF Using Contextual Event in Oracle ADF http://dlvr.it/3Vpybr Oracle WebLogic Check out new blog on #hybrid_cloud & why choice is important http://bit.ly/1b1QGhL Andrejus Baranovskis Oracle Forms to ADF Modernization Reference - Convero (AMEC) Project http://fb.me/1M9iWNmAw WebLogic Community WebLogic on Oracle Database Appliance by Frances Zhao http://wp.me/p1LMIb-BE OTNArchBeat ?New: A-Team Chronicles >> A great resource for technical content covering Oracle Fusion Middleware / Fusion Apps http://pub.vitrue.com/qbzS Oracle for Partners ?Take Java To The Edge: Java Virtual Developer Day – June 19 & June 25 http://bit.ly/19fGlSX Adam Bien ?Looking forward to tomorrow's #javaee7 + #angularjs #html5 marriage at #jpoint. See you there: http://www.jpoint.nl/meetingpoint/editie-2013#sessie-1 … shay shmeltzer ?There is a new patch for the #Oracle #ADF Mobile extension - use help->check for updates to get it. Frank Munz ?Not using @OracleWebLogic 12c yet? Australia does! Reviews from my @AUSOUG workshops in Brisbane, Adelaide and Perth. http://goo.gl/BfVc4 Arun Gupta ?WebSocket, Server-Sent Events, #JavaEE7 sessions accepted at #jaxlondon ... that's gonna be at least third trip to London this year! WebLogic Community SPARC T5-8 Delivers Best Single System SPECjEnterprise2010 Benchmark running WebLogic 12c http://wp.me/p1LMIb-BC WebLogic Community The Ultimate Java EE Event - 16 Power Workshops mit allen wichtigen Java-EE-Themen http://wp.me/p1LMIb-BY Oracle WebLogic ?@OracleWebLogic 7 Jun New Blog Post: Using try-with-resources with JDBC objects http://ow.ly/2xryb5 JDeveloper & ADF Switching Lists of Values http://dlvr.it/3PbCkw WebLogic Community ?YouTube channel Learning Oracle's ADF http://wp.me/p1LMIb-zA Markus Eisele [GER] RT @heisedc: #Java-Entwicklung in #Oracles Public #Cloud http://heise.de/-1866388/ftw OracleBlogs ?Coherence Incubator & Community Source Code & Release Documentation http://ow.ly/2x2fXK chriscmuir ?New blog post: Migrating ADF Mobile apps from 1.0 to 1.1 https://blogs.oracle.com/onesizedoesntfitall/entry/migrating_adf_mobile_apps_from … JDeveloper & ADF ?ADF JavaScript Partitioning for Performance http://dlvr.it/3Trw15 WebLogic Community WebLogic Server Security Workshop June 27th 2013 Germany http://wp.me/p1LMIb-C7 WebLogic Community Oracle Optimized Solution for WebLogic Server 12c http://wp.me/p1LMIb-BA WebLogic Community Virtualize and Run Your Forms Applications in the Cloud - Now On Demand http://wp.me/p1LMIb-By Lucas Jellema Innteresting presentation on various aspects of end user assistance in Fusion Applications (ADF based): http://www.slideshare.net/uobroin/ouag-ireland-final2012slideshare … Adam Bien ?Summer Of JavaEE Workshops And Gigs: Free Hacking night:11.06.2013, Utrecht JavaEE 7 Meets HTML 5 and AngularJ... http://bit.ly/11XRjt4 WebLogic Community ?Real World ADF Design & Architecture Principles Trainings Germany, Poland & Portugal http://wp.me/p1LMIb-Bw Oracle for Partners ?JAVA Virtual Developer Day – June 19 & June 25 - Watch educational content and engage with Oracle experts online https://oracle.6connex.com/portal/java2013/login/?langR=en_US&mcc=OPNNSL … Markus Eisele ?[blog] Java EE 7 is final. Thoughts, Insights and further Pointers. http://dlvr.it/3SrxnB #javaee7 WebLogic Community Oracle takes the top spot for market share in the Application Server Market Segment for 2012 http://wp.me/p1LMIb-Bu OTNArchBeat ?Oracle ACE Director @LucasJellema is "very pleasantly surprised" with the new ADF Academy. http://pub.vitrue.com/8fad chriscmuir ?Sell out crowd for our ADF architecture course in Munich #adfarch pic.twitter.com/zhNtQJ25JV Markus Eisele ?[blog] New German Article: Java 7 Update 21 Security Improvements http://dlvr.it/3Sc8V9 #java #heise #security Markus Eisele ?[blog] New German Article: Oracle Java Cloud Service http://dlvr.it/3Sc20V #java #heise #OracleCloud OracleSupport_WLS ?Troubleshooting and Tuning with #WebLogic - Developer Webcast now available on #Youtube http://pub.vitrue.com/GSOy Andrejus Baranovskis New ADF Academy - Impressive Concept for ADF eLearning http://fb.me/2kYSMKKR5 OracleSupport_WLS ?Removing a #weblogic domain properly http://pub.vitrue.com/ZndM WebLogic Community WebLogic Partner Community Newsletter May 2013 http://wp.me/p1LMIb-Bp Oracle WebLogic ?Blog: Troubleshooting tools Part 3- Heap Dumps #Oracle #WebLogic Read the series http://bit.ly/14CQSD2 Oracle WebLogic ?Blog: #WebLogic_Server on #Oracle_Database_Appliance- How to conjure a WebLogic cluster- http://bit.ly/11fciHA Oracle WebLogic ?Check out new cool features in Oracle Traffic Director- http://bit.ly/11fbz9h WebLogic Community Additional new material WebLogic Community April 2013 http://wp.me/p1LMIb-zM WebLogic Community New WebLogic references - we want yours http://wp.me/p1LMIb-zK OracleSupport_WLS ?#Weblogic Session Replication jsession ID and F5 http://pub.vitrue.com/dWZp OracleBlogs ?top tweets WebLogic Partner Community May 2013 http://ow.ly/2xc8M5 WebLogic Community Welcome to the Spring edition of Oracle Scene http://wp.me/p1LMIb-zE Andreas Koop ?[blog post] ADF: Static Values View Object does not show any values (solved) http://bit.ly/14RDZ8p OracleBlogs ?ADF Mobile - accessing the SQLite database http://ow.ly/2x85r0 OracleSupport_WLS Youtube channel- Troubleshooting and Tuning with #WebLogic.#JRockit #SOAP #JRF http://pub.vitrue.com/qMxu Arun Gupta Next Java Magazine is all about #JavaEE7...productivity, HTML5, WebSocket, Batch & more. Subscribe http://ow.ly/lkD5D (@Oraclejavamag) Oracle WebLogic How to configure a #WebLogic cluster on #Oracle_Database_Appliance? It’s easy, read how. http://bit.ly/11fciHA Oracle WebLogic ?Blog: How to use Heap Dumps to troubleshooting memory leaks- #Oracle #WebLogic_Server http://bit.ly/14CQSD2 OracleBlogs ?Over 100 Images To Be Added to NetBeans Platform Showcase http://ow.ly/2x7Fvp Lucas Jellema A new release of the ADF EMG Task Flow Tester is now available for both JDeveloper 11 R1 and R2. https://java.net/projects/adf-task-flow-tester/pages/GettingStarted … WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,Oracle,OPN,Jürgen Kress

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• MapRedux - PowerShell and Big Data

  - by Dittenhafer Solutions

  MapRedux – #PowerShell and #Big Data Have you been hearing about “big data”, “map reduce” and other large scale computing terms over the past couple of years and been curious to dig into more detail? Have you read some of the Apache Hadoop online documentation and unfortunately concluded that it wasn't feasible to setup a “test” hadoop environment on your machine? More recently, I have read about some of Microsoft’s work to enable Hadoop on the Azure cloud. Being a "Microsoft"-leaning technologist, I am more inclinded to be successful with experimentation when on the Windows platform. Of course, it is not that I am "religious" about one set of technologies other another, but rather more experienced. Anyway, within the past couple of weeks I have been thinking about PowerShell a bit more as the 2012 PowerShell Scripting Games approach and it occured to me that PowerShell's support for Windows Remote Management (WinRM), and some other inherent features of PowerShell might lend themselves particularly well to a simple implementation of the MapReduce framework. I fired up my PowerShell ISE and started writing just to see where it would take me. Quite simply, the ScriptBlock feature combined with the ability of Invoke-Command to create remote jobs on networked servers provides much of the plumbing of a distributed computing environment. There are some limiting factors of course. Microsoft provided some default settings which prevent PowerShell from taking over a network without administrative approval first. But even with just one adjustment, a given Windows-based machine can become a node in a MapReduce-style distributed computing environment. Ok, so enough introduction. Let's talk about the code. First, any machine that will participate as a remote "node" will need WinRM enabled for remote access, as shown below. This is not exactly practical for hundreds of intended nodes, but for one (or five) machines in a test environment it does just fine. C:> winrm quickconfig WinRM is not set up to receive requests on this machine. The following changes must be made: Set the WinRM service type to auto start. Start the WinRM service. Make these changes [y/n]? y Alternatively, you could take the approach described in the Remotely enable PSRemoting post from the TechNet forum and use PowerShell to create remote scheduled tasks that will call Enable-PSRemoting on each intended node. Invoke-MapRedux Moving on, now that you have one or more remote "nodes" enabled, you can consider the actual Map and Reduce algorithms. Consider the following snippet: $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose Invoke-MapRedux takes an instance of a MapReduceItem which references the Map and Reduce scriptblocks, an array of computer names which are the remote nodes, and the initial data set to be processed. As simple as that, you can start working with concepts of big data and the MapReduce paradigm. Now, how did we get there? I have published the initial version of my PsMapRedux PowerShell Module on GitHub. The PsMapRedux module provides the Invoke-MapRedux function described above. Feel free to browse the underlying code and even contribute to the project! In a later post, I plan to show some of the inner workings of the module, but for now let's move on to how the Map and Reduce functions are defined. Map Both the Map and Reduce functions need to follow a prescribed prototype. The prototype for a Map function in the MapRedux module is as follows. A simple scriptblock that takes one PsObject parameter and returns a hashtable. It is important to note that the PsObject $dataset parameter is a MapRedux custom object that has a "Data" property which offers an array of data to be processed by the Map function. $aMap = { Param ( [PsObject] $dataset ) # Indicate the job is running on the remote node. Write-Host ($env:computername + "::Map"); # The hashtable to return $list = @{}; # ... Perform the mapping work and prepare the $list hashtable result with your custom PSObject... # ... The $dataset has a single 'Data' property which contains an array of data rows # which is a subset of the originally submitted data set. # Return the hashtable (Key, PSObject) Write-Output $list; } Reduce Likewise, with the Reduce function a simple prototype must be followed which takes a $key and a result $dataset from the MapRedux's partitioning function (which joins the Map results by key). Again, the $dataset is a MapRedux custom object that has a "Data" property as described in the Map section. $aReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) # The hashtable to return $redux = @{}; # Return Write-Output $redux; } All Together Now When everything is put together in a short example script, you implement your Map and Reduce functions, query for some starting data, build the MapReduxItem via New-MapReduxItem and call Invoke-MapRedux to get the process started: # Import the MapRedux and SQL Server providers Import-Module "MapRedux" Import-Module “sqlps” -DisableNameChecking # Query the database for a dataset Set-Location SQLSERVER:\sql\dbserver1\default\databases\myDb $query = "SELECT MyKey, Date, Value1 FROM BigData ORDER BY MyKey"; Write-Host "Query: $query" $dataset = Invoke-SqlCmd -query $query # Build the Map function $MyMap = { Param ( [PsObject] $dataset ) Write-Host ($env:computername + "::Map"); $list = @{}; foreach($row in $dataset.Data) { # Write-Host ("Key: " + $row.MyKey.ToString()); if($list.ContainsKey($row.MyKey) -eq $true) { $s = $list.Item($row.MyKey); $s.Sum += $row.Value1; $s.Count++; } else { $s = New-Object PSObject; $s | Add-Member -Type NoteProperty -Name MyKey -Value $row.MyKey; $s | Add-Member -type NoteProperty -Name Sum -Value $row.Value1; $list.Add($row.MyKey, $s); } } Write-Output $list; } $MyReduce = { Param ( [object] $key, [PSObject] $dataset ) Write-Host ($env:computername + "::Reduce - Count: " + $dataset.Data.Count) $redux = @{}; $count = 0; foreach($s in $dataset.Data) { $sum += $s.Sum; $count += 1; } # Reduce $redux.Add($s.MyKey, $sum / $count); # Return Write-Output $redux; } # Create the item data $Mr = New-MapReduxItem "My Test MapReduce Job" $MyMap $MyReduce # Array of processing nodes... $MyNodes = ("node1", "node2", "node3", "node4", "localhost") # Run the Map Reduce routine... $MyMrResults = Invoke-MapRedux -MapReduceItem $Mr -ComputerName $MyNodes -DataSet $dataset -Verbose # Show the results Set-Location C:\ $MyMrResults | Out-GridView Conclusion I hope you have seen through this article that PowerShell has a significant infrastructure available for distributed computing. While it does take some code to expose a MapReduce-style framework, much of the work is already done and PowerShell could prove to be the the easiest platform to develop and run big data jobs in your corporate data center, potentially in the Azure cloud, or certainly as an academic excerise at home or school. Follow me on Twitter to stay up to date on the continuing progress of my Powershell MapRedux module, and thanks for reading! Daniel

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• BI Applications overview

  - by sv744

  Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

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