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  • SQL 2005 Transaction Rollback Hung–unresolved deadlock

    - by steveh99999
    Encountered an interesting issue recently with a SQL 2005 sp3 Enterprise Edition system. Every weekend, a full database reindex was being run on this system – normally this took around one and a half hours. Then, one weekend, the job ran for over 17 hours  - and had yet to complete... At this point, DBA cancelled the job. Job status is now cancelled – issue over…   However, cancelling the job had not killed the reindex transaction – DBCC OPENTRAN was still showing the transaction being open. The oldest open transaction in the database was now over 17 hours old.  Consequently, transaction log % used growing dramatically and locks still being held in the database... Further attempts to kill the transaction did nothing. ie we had a transaction which could not be killed. In sysprocesses, it was apparent the SPID was in rollback status, but the spid was not accumulating CPU or IO. Was the SPID stuck ? On examination of the SQL errorlog – shortly after the reindex had started, a whole bunch of deadlock output had been produced by trace flag 1222. Then this :- spid5s      ***Stack Dump being sent to   xxxxxxx\SQLDump0042.txt spid5s      * ******************************************************************************* spid5s      * spid5s      * BEGIN STACK DUMP: spid5s      *   12/05/10 01:04:47 spid 5 spid5s      * spid5s      * Unresolved deadlock spid5s      * spid5s      *   spid5s      * ******************************************************************************* spid5s      * ------------------------------------------------------------------------------- spid5s      * Short Stack Dump spid5s      Stack Signature for the dump is 0x000001D7 spid5s      External dump process return code 0x20000001. Unresolved deadlock – don’t think I’ve ever seen one of these before…. A quick call to Microsoft support confirmed the following bug had been hit :- http://support.microsoft.com/kb/961479 So, only option to get rid of the hung spid – to restart SQL Server… Fortunately SQL Server restarted without any issues. I was pleasantly surprised to see that recovery on this particular database was fast. However, restarting SQL Server to fix an issue is not something I would normally rush to do... Short term fix – the reindex was changed to use MAXDOP of 1. Longer term fix will be to apply the correct CU, or wait for SQL 2005 sp 4 ?? This should be released any day soon I hope..

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  • October 2012 Critical Patch Update and Critical Patch Update for Java SE Released

    - by Eric P. Maurice
    Hi, this is Eric Maurice. Oracle has just released the October 2012 Critical Patch Update and the October 2012 Critical Patch Update for Java SE.  As a reminder, the release of security patches for Java SE continues to be on a different schedule than for other Oracle products due to commitments made to customers prior to the Oracle acquisition of Sun Microsystems.  We do however expect to ultimately bring Java SE in line with the regular Critical Patch Update schedule, thus increasing the frequency of scheduled security releases for Java SE to 4 times a year (as opposed to the current 3 yearly releases).  The schedules for the “normal” Critical Patch Update and the Critical Patch Update for Java SE are posted online on the Critical Patch Updates and Security Alerts page. The October 2012 Critical Patch Update provides a total of 109 new security fixes across a number of product families including: Oracle Database Server, Oracle Fusion Middleware, Oracle E-Business Suite, Supply Chain Products Suite, Oracle PeopleSoft Enterprise, Oracle Customer Relationship Management (CRM), Oracle Industry Applications, Oracle FLEXCUBE, Oracle Sun products suite, Oracle Linux and Virtualization, and Oracle MySQL. Out of these 109 new vulnerabilities, 5 affect Oracle Database Server.  The most severe of these Database vulnerabilities has received a CVSS Base Score of 10.0 on Windows platforms and 7.5 on Linux and Unix platforms.  This vulnerability (CVE-2012-3137) is related to the “Cryptographic flaws in Oracle Database authentication protocol” disclosed at the Ekoparty Conference.  Because of timing considerations (proximity to the release date of the October 2012 Critical Patch Update) and the need to extensively test the fixes for this vulnerability to ensure compatibility across the products stack, the fixes for this vulnerability were not released through a Security Alert, but instead mitigation instructions were provided prior to the release of the fixes in this Critical Patch Update in My Oracle Support Note 1492721.1.  Because of the severity of these vulnerabilities, Oracle recommends that this Critical Patch Update be installed as soon as possible. Another 26 vulnerabilities fixed in this Critical Patch Update affect Oracle Fusion Middleware.  The most severe of these Fusion Middleware vulnerabilities has received a CVSS Base Score of 10.0; it affects Oracle JRockit and is related to Java vulnerabilities fixed in the Critical Patch Update for Java SE.  The Oracle Sun products suite gets 18 new security fixes with this Critical Patch Update.  Note also that Oracle MySQL has received 14 new security fixes; the most severe of these MySQL vulnerabilities has received a CVSS Base Score of 9.0. Today’s Critical Patch Update for Java SE provides 30 new security fixes.  The most severe CVSS Base Score for these Java SE vulnerabilities is 10.0 and this score affects 10 vulnerabilities.  As usual, Oracle reports the most severe CVSS Base Score, and these CVSS 10.0s assume that the user running a Java Applet or Java Web Start application has administrator privileges (as is typical on Windows XP). However, when the user does not run with administrator privileges (as is typical on Solaris and Linux), the corresponding CVSS impact scores for Confidentiality, Integrity, and Availability are "Partial" instead of "Complete", typically lowering the CVSS Base Score to 7.5 denoting that the compromise does not extend to the underlying Operating System.  Also, as is typical in the Critical Patch Update for Java SE, most of the vulnerabilities affect Java and Java FX client deployments only.  Only 2 of the Java SE vulnerabilities fixed in this Critical Patch Update affect client and server deployments of Java SE, and only one affects server deployments of JSSE.  This reflects the fact that Java running on servers operate in a more secure and controlled environment.  As discussed during a number of sessions at JavaOne, Oracle is considering security enhancements for Java in desktop and browser environments.  Finally, note that the Critical Patch Update for Java SE is cumulative, in other words it includes all previously released security fixes, including the fix provided through Security Alert CVE-2012-4681, which was released on August 30, 2012. For More Information: The October 2012 Critical Patch Update advisory is located at http://www.oracle.com/technetwork/topics/security/cpuoct2012-1515893.html The October 2012 Critical Patch Update for Java SE advisory is located at http://www.oracle.com/technetwork/topics/security/javacpuoct2012-1515924.html.  An online video about the importance of keeping up with Java releases and the use of the Java auto update is located at http://medianetwork.oracle.com/video/player/1218969104001 More information about Oracle Software Security Assurance is located at http://www.oracle.com/us/support/assurance/index.html  

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  • Silverlight Cream for February 09, 2011 -- #1044

    - by Dave Campbell
    In this Issue: Vikas, Tony Champion, Peter Kuhn, Ollie Riches, Rich Griffin, Rob Eisenberg, Andrea Boschin, Rudi Grobler(-2-), Jesse Liberty, Dan Wahlin, Roberto Sonnino, Deborah Kurata. Above the Fold: Silverlight: "Silverlight double click event" Vikas WP7: "Logging in Silverlight and WP7 with MVVM Light" Tony Champion XNA: "XNA for Silverlight developers: Part 3 - Animation (transforms)" Peter Kuhn Shoutouts: Vikas deserves congratulations for passing the beta Silverlight 4 exam, but in the process he has a great list of resources to help you do the same: Exam 70-506 ( TS: Silverlight 4, Development ) From SilverlightCream.com: Silverlight double click event Vikas demonstrates 3 ways to come up with a double-click in Silverlight: Timer, Rx Framework, and Behavior with code for each. Logging in Silverlight and WP7 with MVVM Light Tony Champion is discussing logging... and since he finds himself doing it in every project, he's setting up an extensible solution he can reuse and is doing so with MVVMLight XNA for Silverlight developers: Part 3 - Animation (transforms) Peter Kuhn has part 3 of his XNA for WP7 series up at SilverlightShow. In this 3rd tutorial, Peter is discussing animation with Transformations.... remember... this is XNA! WP7Contrib: Location Push Model Ollie Riches posts from the WP7C and discusses how they provide an interface for location service by abstracting away the GeoCoordinateWatcher class and provide a clean push model using the IObservable as the return types for all variants. WP7 Contrib – When messaging becomes messy and services shine Rich Griffin pulls another post up from WP7C where he discusses swapping out using Service Styles rather than Messenger Styles... in his words "when we start getting friction trying to bend the framework api to do something that it was not really meant for its time to use something [that] solves the problem better" Herding Code 104: Rob Eisenberg on Caliburn Micro Rob Eisenberg is interviewed on the latest Herding Code, talking about his baby, Caliburn Micro, and tons of other stuff as well... just check out the list of links generated for this show. Windows Phone 7 - Part #4: The application lifecycle Andrea Boschin has part 4 of his WP7 tutorial series up at SilverlightShow... In this tutorial he does a complete run-down the the WP7 Application Life-Cycle Simple Error Reporting on WP7 Rudi Grobler has a code snippet up that, with the end-user's permission of course, emails problem reports back to you... very cool idea. Simple Error Reporting on WP7 REDUX Rudi Grobler demonstrates using the Coding4Fun toolkit to display an exception prompt to the user... and then possibly email the report to you..see Rudi's other post on that. Creating An Application Bar–Don’t Panic In his latest (number 31) WP7 From Scratch episode, Jesse Liberty takes on the ApplicationBar, and uses Blend to get the job done easier. Syncing Data with a Server using Silverlight and HTTP Polling Duplex Dan Wahlin revisits some older posts of his about Push technologies in Silverlight, and provides some great insight (and code) into Http Polling Duplex Quick WPF/Silverlight tips to make great videos of your apps Roberto Sonnino has some great tips on making awesome videos of your WPF or Silverlight app. Simple Silverlight MVVM Base Class Deborah Kurata has her take at a good MVVM base class as the subject of her latest post... good points and good code. Stay in the 'Light! Twitter SilverlightNews | Twitter WynApse | WynApse.com | Tagged Posts | SilverlightCream Join me @ SilverlightCream | Phoenix Silverlight User Group Technorati Tags: Silverlight    Silverlight 3    Silverlight 4    Windows Phone MIX10

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  • A quick look at: sys.dm_os_buffer_descriptors

    - by Jonathan Allen
    SQL Server places data into cache as it reads it from disk so as to speed up future queries. This dmv lets you see how much data is cached at any given time and knowing how this changes over time can help you ensure your servers run smoothly and are adequately resourced to run your systems. This dmv gives the number of cached pages in the buffer pool along with the database id that they relate to: USE [tempdb] GO SELECT COUNT(*) AS cached_pages_count , CASE database_id WHEN 32767 THEN 'ResourceDb' ELSE DB_NAME(database_id) END AS Database_name FROM sys.dm_os_buffer_descriptors GROUP BY DB_NAME(database_id) , database_id ORDER BY cached_pages_count DESC; This gives you results which are quite useful, but if you add a new column with the code: …to convert the pages value to show a MB value then they become more relevant and meaningful. To see how your server reacts to queries, start up SSMS and connect to a test server and database – mine is called AdventureWorks2008. Make sure you start from a know position by running: -- Only run this on a test server otherwise your production server's-- performance may drop off a cliff and your phone will start ringing. DBCC DROPCLEANBUFFERS GO Now we can run a query that would normally turn a DBA’s hair white: USE [AdventureWorks2008] go SELECT * FROM [Sales].[SalesOrderDetail] AS sod INNER JOIN [Sales].[SalesOrderHeader] AS soh ON [sod].[SalesOrderID] = [soh].[SalesOrderID] …and then check our cache situation: A nice low figure – not! Almost 2000 pages of data in cache equating to approximately 15MB. Luckily these tables are quite narrow; if this had been on a table with more columns then this could be even more dramatic. So, let’s make our query more efficient. After resetting the cache with the DROPCLEANBUFFERS and FREEPROCCACHE code above, we’ll only select the columns we want and implement a WHERE predicate to limit the rows to a specific customer. SELECT [sod].[OrderQty] , [sod].[ProductID] , [soh].[OrderDate] , [soh].[CustomerID] FROM [Sales].[SalesOrderDetail] AS sod INNER JOIN [Sales].[SalesOrderHeader] AS soh ON [sod].[SalesOrderID] = [soh].[SalesOrderID] WHERE [soh].[CustomerID] = 29722 …and check our effect cache: Now that is more sympathetic to our server and the other systems sharing its resources. I can hear you asking: “What has this got to do with logging, Jonathan?” Well, a smart DBA will keep an eye on this metric on their servers so they know how their hardware is coping and be ready to investigate anomalies so that no ‘disruptive’ code starts to unsettle things. Capturing this information over a period of time can lead you to build a picture of how a database relies on the cache and how it interacts with other databases. This might allow you to decide on appropriate schedules for over night jobs or otherwise balance the work of your server. You could schedule this job to run with a SQL Agent job and store the data in your DBA’s database by creating a table with: IF OBJECT_ID('CachedPages') IS NOT NULL DROP TABLE CachedPages CREATE TABLE CachedPages ( cached_pages_count INT , MB INT , Database_Name VARCHAR(256) , CollectedOn DATETIME DEFAULT GETDATE() ) …and then filling it with: INSERT INTO [dbo].[CachedPages] ( [cached_pages_count] , [MB] , [Database_Name] ) SELECT COUNT(*) AS cached_pages_count , ( COUNT(*) * 8.0 ) / 1024 AS MB , CASE database_id WHEN 32767 THEN 'ResourceDb' ELSE DB_NAME(database_id) END AS Database_name FROM sys.dm_os_buffer_descriptors GROUP BY database_id After this has been left logging your system metrics for a while you can easily see how your databases use the cache over time and may see some spikes that warrant your attention. This sort of logging can be applied to all sorts of server statistics so that you can gather information that will give you baseline data on how your servers are performing. This means that when you get a problem you can see what statistics are out of their normal range and target you efforts to resolve the issue more rapidly.

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  • Do I need to be worried about these SMART drive temperatures?

    - by Steve Lorimer
    I have 5 hard drives in a machine sitting in a cupboard. /dev/sda is a 500GB Seagate drive, and is the boot disk. /dev/sd{b,c,d,e} are 2TB drives in a raid6 configuration. smartctl is showing significantly higher temperatures (like ~140 degrees celsius) on the raid drives than the boot drive. Do I need to be worried? /dev/sdb and /dev/sde are new Western Digital Black drives (new=1 week) /dev/sdc and /dev/sdd are 5 year old Hitachi drives /dev/sda [SAT], Temperature_Celsius changed from 40 to 39 /dev/sdc [SAT], Temperature_Celsius changed from 142 to 146 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 142 /dev/sdd [SAT], Temperature_Celsius changed from 142 to 146 /dev/sda [SAT], Airflow_Temperature_Cel changed from 61 to 62 /dev/sda [SAT], Temperature_Celsius changed from 39 to 38 /dev/sde [SAT], Temperature_Celsius changed from 107 to 108 /dev/sdb [SAT], Temperature_Celsius changed from 108 to 109 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sdc [SAT], Temperature_Celsius changed from 146 to 150 /dev/sda [SAT], Airflow_Temperature_Cel changed from 62 to 61 /dev/sda [SAT], Temperature_Celsius changed from 38 to 39 Update: Adding detailed drive information as per request: /dev/sda =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Seagate Pipeline HD 5900.2 Device Model: ST3500312CS Serial Number: 5VV47HXA LU WWN Device Id: 5 000c50 02aad5ad6 Firmware Version: SC13 User Capacity: 500,107,862,016 bytes [500 GB] Sector Size: 512 bytes logical/physical Rotation Rate: 5900 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 1.5 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdb =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1398726 LU WWN Device Id: 5 0014ee 003b8bd25 Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdc =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WSTUD LU WWN Device Id: 5 000cca 369cc9f5d Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 3.0 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sdd =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Model Family: Hitachi Deskstar 7K3000 Device Model: Hitachi HDS723020BLA642 Serial Number: MN1220F30WST4D LU WWN Device Id: 5 000cca 369cc9f48 Firmware Version: MN6OA580 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Size: 512 bytes logical/physical Rotation Rate: 7200 rpm Device is: In smartctl database [for details use: -P show] ATA Version is: ATA8-ACS T13/1699-D revision 4 SATA Version is: SATA 2.6, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled /dev/sde =========================== smartctl 6.0 2012-10-10 r3643 [x86_64-linux-3.9.10-100.fc17.x86_64] (local build) Copyright (C) 2002-12, Bruce Allen, Christian Franke, www.smartmontools.org === START OF INFORMATION SECTION === Device Model: WDC WD2003FZEX-00Z4SA0 Serial Number: WD-WMC1F1483782 LU WWN Device Id: 5 0014ee 3002d235c Firmware Version: 01.01A01 User Capacity: 2,000,398,934,016 bytes [2.00 TB] Sector Sizes: 512 bytes logical, 4096 bytes physical Rotation Rate: 7200 rpm Device is: Not in smartctl database [for details use: -P showall] ATA Version is: ACS-2 (minor revision not indicated) SATA Version is: SATA 3.0, 6.0 Gb/s (current: 1.5 Gb/s) Local Time is: Tue Jun 3 10:54:11 2014 EST SMART support is: Available - device has SMART capability. SMART support is: Enabled

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  • career in Mobile sw/Application Development [closed]

    - by pramod
    i m planning to do a course on Wireless & mobile computing.The syllabus are given below.Please check & let me know whether its worth to do.How is the job prospects after that.I m a fresher & from electronic Engg.The modules are- *Wireless and Mobile Computing (WiMC) – Modules* C, C++ Programming and Data Structures 100 Hours C Revision C, C++ programming tools on linux(Vi editor, gdb etc.) OOP concepts Programming constructs Functions Access Specifiers Classes and Objects Overloading Inheritance Polymorphism Templates Data Structures in C++ Arrays, stacks, Queues, Linked Lists( Singly, Doubly, Circular) Trees, Threaded trees, AVL Trees Graphs, Sorting (bubble, Quick, Heap , Merge) System Development Methodology 18 Hours Software life cycle and various life cycle models Project Management Software: A Process Various Phases in s/w Development Risk Analysis and Management Software Quality Assurance Introduction to Coding Standards Software Project Management Testing Strategies and Tactics Project Management and Introduction to Risk Management Java Programming 110 Hours Data Types, Operators and Language Constructs Classes and Objects, Inner Classes and Inheritance Inheritance Interface and Package Exceptions Threads Java.lang Java.util Java.awt Java.io Java.applet Java.swing XML, XSL, DTD Java n/w programming Introduction to servlet Mobile and Wireless Technologies 30 Hours Basics of Wireless Technologies Cellular Communication: Single cell systems, multi-cell systems, frequency reuse, analog cellular systems, digital cellular systems GSM standard: Mobile Station, BTS, BSC, MSC, SMS sever, call processing and protocols CDMA standard: spread spectrum technologies, 2.5G and 3G Systems: HSCSD, GPRS, W-CDMA/UMTS,3GPP and international roaming, Multimedia services CDMA based cellular mobile communication systems Wireless Personal Area Networks: Bluetooth, IEEE 802.11a/b/g standards Mobile Handset Device Interfacing: Data Cables, IrDA, Bluetooth, Touch- Screen Interfacing Wireless Security, Telemetry Java Wireless Programming and Applications Development(J2ME) 100 Hours J2ME Architecture The CLDC and the KVM Tools and Development Process Classification of CLDC Target Devices CLDC Collections API CLDC Streams Model MIDlets MIDlet Lifecycle MIDP Programming MIDP Event Architecture High-Level Event Handling Low-Level Event Handling The CLDC Streams Model The CLDC Networking Package The MIDP Implementation Introduction to WAP, WML Script and XHTML Introduction to Multimedia Messaging Services (MMS) Symbian Programming 60 Hours Symbian OS basics Symbian OS services Symbian OS organization GUI approaches ROM building Debugging Hardware abstraction Base porting Symbian OS reference design porting File systems Overview of Symbian OS Development – DevKits, CustKits and SDKs CodeWarrior Tool Application & UI Development Client Server Framework ECOM STDLIB in Symbian iPhone Programming 80 Hours Introducing iPhone core specifications Understanding iPhone input and output Designing web pages for the iPhone Capturing iPhone events Introducing the webkit CSS transforms transitions and animations Using iUI for web apps Using Canvas for web apps Building web apps with Dashcode Writing Dashcode programs Debugging iPhone web pages SDK programming for web developers An introduction to object-oriented programming Introducing the iPhone OS Using Xcode and Interface builder Programming with the SDK Toolkit OS Concepts & Linux Programming 60 Hours Operating System Concepts What is an OS? Processes Scheduling & Synchronization Memory management Virtual Memory and Paging Linux Architecture Programming in Linux Linux Shell Programming Writing Device Drivers Configuring and Building GNU Cross-tool chain Configuring and Compiling Linux Virtual File System Porting Linux on Target Hardware WinCE.NET and Database Technology 80 Hours Execution Process in .NET Environment Language Interoperability Assemblies Need of C# Operators Namespaces & Assemblies Arrays Preprocessors Delegates and Events Boxing and Unboxing Regular Expression Collections Multithreading Programming Memory Management Exceptions Handling Win Forms Working with database ASP .NET Server Controls and client-side scripts ASP .NET Web Server Controls Validation Controls Principles of database management Need of RDBMS etc Client/Server Computing RDBMS Technologies Codd’s Rules Data Models Normalization Techniques ER Diagrams Data Flow Diagrams Database recovery & backup SQL Android Application 80 Hours Introduction of android Why develop for android Android SDK features Creating android activities Fundamental android UI design Intents, adapters, dialogs Android Technique for saving data Data base in Androids Maps, Geocoding, Location based services Toast, using alarms, Instant messaging Using blue tooth Using Telephony Introducing sensor manager Managing network and wi-fi connection Advanced androids development Linux kernel security Implement AIDL Interface. Project 120 Hours

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  • Silabs cp2102 driver problem

    - by Zxy
    I downloaded appropriate driver from its own site, unzipped it and then tried to install it. But: root@ghostrider:/home/zero/Downloads# tar xvf cp210x-3.1.0.tar.gz cp210x-3.1.0/ cp210x-3.1.0/COPYING cp210x-3.1.0/cp210x/ cp210x-3.1.0/cp210x-3.1.0.spec cp210x-3.1.0/cp210x/.rpmmacros cp210x-3.1.0/cp210x/configure cp210x-3.1.0/cp210x/cp210x.c cp210x-3.1.0/cp210x/cp210x.h cp210x-3.1.0/cp210x/cp210xuniversal.c cp210x-3.1.0/cp210x/cp210xuniversal.h cp210x-3.1.0/cp210x/installmod cp210x-3.1.0/cp210x/Makefile24 cp210x-3.1.0/cp210x/Makefile26 cp210x-3.1.0/cp210x/rpmmacros24 cp210x-3.1.0/cp210x/rpmmacros26 cp210x-3.1.0/cp210x/Rules.make cp210x-3.1.0/INSTALL cp210x-3.1.0/makerpm cp210x-3.1.0/PACKAGE-LIST cp210x-3.1.0/README cp210x-3.1.0/RELEASE-NOTES cp210x-3.1.0/REPORTING-BUGS cp210x-3.1.0/rpm/ cp210x-3.1.0/rpm/brp-java-repack-jars cp210x-3.1.0/rpm/brp-python-bytecompile cp210x-3.1.0/rpm/check-rpaths cp210x-3.1.0/rpm/check-rpaths-worker root@ghostrider:/home/zero/Downloads# cd cp210x-3.1.0 root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# ls COPYING cp210x-3.1.0.spec makerpm README REPORTING-BUGS cp210x INSTALL PACKAGE-LIST RELEASE-NOTES rpm root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# run ./makerpm No command 'run' found, did you mean: Command 'zrun' from package 'moreutils' (universe) Command 'runq' from package 'exim4-daemon-heavy' (main) Command 'runq' from package 'exim4-daemon-light' (main) Command 'runq' from package 'sendmail-bin' (universe) Command 'grun' from package 'grun' (universe) Command 'qrun' from package 'torque-client' (universe) Command 'qrun' from package 'torque-client-x11' (universe) Command 'lrun' from package 'lustre-utils' (universe) Command 'rn' from package 'trn' (multiverse) Command 'rn' from package 'trn4' (multiverse) Command 'rup' from package 'rstat-client' (universe) Command 'srun' from package 'slurm-llnl' (universe) run: command not found root@ghostrider:/home/zero/Downloads/cp210x-3.1.0# sudo ./makerpm + uname -r + kernel_release=3.2.0-25-generic-pae + pwd + current_dir=/home/zero/Downloads/cp210x-3.1.0 + export current_dir + uname -r + KVER=3.2.0-25-generic-pae + echo 3.2.0-25-generic-pae + awk -F . -- { print $1 } + KVER1=3 + echo 3.2.0-25-generic-pae + awk -F . -- { print $2 } + KVER2=2 + sed -e s/3\.2\.//g + echo 3.2.0-25-generic-pae + KVER3=0-25-generic-pae + [ -f /root/.rpmmacros ] + echo 2 2 + [ 2 == 4 ] ./makerpm: 25: [: 2: unexpected operator + echo 0-25-generic-pae 0-25-generic-pae + [ 0-25-generic-pae -gt 15 ] ./makerpm: 29: [: Illegal number: 0-25-generic-pae + cp /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros24 /root/.rpmmacros + d=/var/tmp/silabs + [ ! -d /var/tmp/silabs ] + mkdir /var/tmp/silabs + cd /var/tmp/silabs + r=/var/tmp/silabs/rpmbuild + o=cp210x-3.1.0 + s=/var/tmp/silabs/rpmbuild/SOURCES + spec=cp210x-3.1.0.spec + rm -rf /var/tmp/silabs/rpmbuild + mkdir rpmbuild + mkdir rpmbuild/SOURCES + mkdir rpmbuild/SRPMS + mkdir rpmbuild/SPECS + mkdir rpmbuild/BUILD + mkdir rpmbuild/RPMS + cd /var/tmp/silabs/rpmbuild/SOURCES + rm -rf cp210x-3.1.0 + mkdir cp210x-3.1.0 + cp -r /home/zero/Downloads/cp210x-3.1.0/cp210x/Makefile24 /home/zero/Downloads/cp210x-3.1.0/cp210x/Makefile26 /home/zero/Downloads/cp210x- 3.1.0/cp210x/Rules.make /home/zero/Downloads/cp210x-3.1.0/cp210x/configure /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210x.c /home/zero/Downloads/cp210x- 3.1.0/cp210x/cp210x.h /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210xuniversal.c /home/zero/Downloads/cp210x-3.1.0/cp210x/cp210xuniversal.h /home/zero/Downloads/cp210x- 3.1.0/cp210x/installmod /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros24 /home/zero/Downloads/cp210x-3.1.0/cp210x/rpmmacros26 cp210x-3.1.0 + echo 2 2 + [ 2 == 4 ] ./makerpm: 64: [: 2: unexpected operator + echo 0-25-generic-pae 0-25-generic-pae + [ 0-25-generic-pae -gt 15 ] ./makerpm: 68: [: Illegal number: 0-25-generic-pae + cp /home/zero/Downloads/cp210x-3.1.0/cp210x/.rpmmacros24 cp210x-3.1.0/.rpmmacros cp: cannot stat `/home/zero/Downloads/cp210x-3.1.0/cp210x/.rpmmacros24': No such file or directory + MyCopy=0 + rm -f cp210x-3.1.0.tar + rm -f cp210x-3.1.0.tar.gz + tar -cf cp210x-3.1.0.tar cp210x-3.1.0 + gzip cp210x-3.1.0.tar + cp /home/zero/Downloads/cp210x-3.1.0/cp210x-3.1.0.spec /var/tmp/silabs/rpmbuild/SPECS + rpmbuild -ba /var/tmp/silabs/rpmbuild/SPECS/cp210x-3.1.0.spec ./makerpm: 121: ./makerpm: rpmbuild: not found + [ -f /root/.rpmmacros.cp210x ] How may I solve my problem? Thanks

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  • Application Performance Episode 2: Announcing the Judges!

    - by Michaela Murray
    The story so far… We’re writing a new book for ASP.NET developers, and we want you to be a part of it! If you work with ASP.NET applications, and have top tips, hard-won lessons, or sage advice for avoiding, finding, and fixing performance problems, we want to hear from you! And if your app uses SQL Server, even better – interaction with the database is critical to application performance, so we’re looking for database top tips too. There’s a Microsoft Surface apiece for the person who comes up with the best tip for SQL Server and the best tip for .NET. Of course, if your suggestion is selected for the book, you’ll get full credit, by name, Twitter handle, GitHub repository, or whatever you like. To get involved, just email your nuggets of performance wisdom to [email protected] – there are examples of what we’re looking for and full competition details at Application Performance: The Best of the Web. Enter the judges… As mentioned in my last blogpost, we have a mystery panel of celebrity judges lined up to select the prize-winning performance pointers. We’re now ready to reveal their secret identities! Judging your ASP.NET  tips will be: Jean-Phillippe Gouigoux, MCTS/MCPD Enterprise Architect and MVP Connected System Developer. He’s a board member at French software company MGDIS, and teaches algorithms, security, software tests, and ALM at the Université de Bretagne Sud. Jean-Philippe also lectures at IT conferences and writes articles for programming magazines. His book Practical Performance Profiling is published by Simple-Talk. Nik Molnar,  a New Yorker, ASP Insider, and co-founder of Glimpse, an open source ASP.NET diagnostics and debugging tool. Originally from Florida, Nik specializes in web development, building scalable, client-centric solutions. In his spare time, Nik can be found cooking up a storm in the kitchen, hanging with his wife, speaking at conferences, and working on other open source projects. Mitchel Sellers, Microsoft C# and DotNetNuke MVP. Mitchel is an experienced software architect, business leader, public speaker, and educator. He works with companies across the globe, as CEO of IowaComputerGurus Inc. Mitchel writes technical articles for online and print publications and is the author of Professional DotNetNuke Module Programming. He frequently answers questions on StackOverflow and MSDN and is an active participant in the .NET and DotNetNuke communities. Clive Tong, Software Engineer at Red Gate. In previous roles, Clive spent a lot of time working with Common LISP and enthusing about functional languages, and he’s worked with managed languages since before his first real job (which was a long time ago). Long convinced of the productivity benefits of managed languages, Clive is very interested in getting good runtime performance to keep managed languages practical for real-world development. And our trio of SQL Server specialists, ready to select your top suggestion, are (drumroll): Rodney Landrum, a SQL Server MVP who writes regularly about Integration Services, Analysis Services, and Reporting Services. He’s authored SQL Server Tacklebox, three Reporting Services books, and contributes regularly to SQLServerCentral, SQL Server Magazine, and Simple–Talk. His day job involves overseeing a large SQL Server infrastructure in Orlando. Grant Fritchey, Product Evangelist at Red Gate and SQL Server MVP. In an IT career spanning more than 20 years, Grant has written VB, VB.NET, C#, and Java. He’s been working with SQL Server since version 6.0. Grant volunteers with the Editorial Committee at PASS and has written books for Apress and Simple-Talk. Jonathan Allen, leader and founder of the PASS SQL South West user group. He’s been working with SQL Server since 1999 and enjoys performance tuning, development, and using SQL Server for business solutions. He’s spoken at SQLBits and SQL in the City, as well as local user groups across the UK. He’s also a moderator at ask.sqlservercentral.com.

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  • The most challenging part of blogging about OpenWorld is…

    - by Irem Radzik
    Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} ...not knowing where to start. Do I talk about the great presentations from our partners and executives in our keynote sessions; do I write about the music festival, or many great sessions we had in the Data integration track? A short blog can never do justice. For now I will stick to our data integration sessions for those who could not attend with so many other sessions running concurrently. And in the coming weeks we will be writing more about what we talked in our sessions and what we learned from our customers and partners. For today, I will give some of the key highlights from Data Integration sessions that took place on Wednesday and Thursday of last week  On Wednesday, GoldenGate was highlighted in multiple Database and Data Integration sessions. I found particularly the session about Oracle’s own use of GoldenGate for its large E-Business Suite implementation for supply chain management and service contract management very interesting. In 2011, Oracle implemented a new operational reporting system using GoldenGate real-time data replication to an operational data store that leverages data from E-Business Suite.The results are very impressive. Data freshness improved by 2,210X while report run performance improved by 60X. For more information on this implementation and its results please see the white paper: Real-Time Operational Reporting for E-Business Suite via GoldenGate Replication to an Operational Data Store Other sessions that provided very rich content were: "Best Practices for Conflict Detection and Resolution in Oracle GoldenGate for Active/Active", "Tuning and Troubleshooting Oracle GoldenGate on Oracle Database", "Next-Generation Data Integration on Oracle Exadata" and "Accelerate Oracle Data Integrator with Advanced Features, SOA, Groovy, SDK, and XML". Below is a slide presented by Stephan Haisley in the Tuning and Troubleshooting Oracle GoldenGate session. If you missed them during OpenWorld, I highly recommend downloading the slides. We will continue to blog about these topics and related resources. .

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  • FairWarning Privacy Monitoring Solutions Rely on MySQL to Secure Patient Data

    - by Rebecca Hansen
    FairWarning® solutions have audited well over 120 billion events, each of which was processed and stored in a MySQL database. FairWarning is the world's leading supplier of privacy monitoring solutions for electronic health records, relied on by over 1,200 Hospitals and 5,000 Clinics to keep their patients' data safe. In January 2014, FairWarning was awarded the highest commendation in healthcare IT as the first ever Category Leader for Patient Privacy Monitoring in the "2013 Best in KLAS: Software & Services" report[1]. FairWarning has used MySQL as their solutions’ database from their start in 2005 to worldwide expansion and market leadership. FairWarning recently migrated their solutions from MyISAM to InnoDB and updated from MySQL 5.5 to 5.6. Following are some of benefits they’ve had as a result of those changes and reasons for their continued reliance on MySQL (from FairWarning MySQL Case Study). Scalability to Handle Terabytes of Data FairWarning's customers have a lot of data: On average, FairWarning customers receive over 700,000 events to be processed daily. Over 25% of their customers receive over 30 million events per day, which equates to over 1 billion events and nearly one terabyte (TB) of new data each month. Databases range in size from a few hundred GBs to 10+ TBs for enterprise deployments (data are rolled off after 13 months). Low or Zero Admin = Few DBAs "MySQL has not required a lot of administration. After it's been tuned, configured, and optimized for size on initial setup, we have very low administrative costs. I can scale and add more customers without adding DBAs. This has had a big, positive impact on our business.” - Chris Arnold, FairWarning Vice President of Product Management and Engineering. Performance Schema  As the size of FairWarning's customers has increased, so have their tables and data volumes. MySQL 5.6’ new maintenance and management features have helped FairWarning keep up. In particular, MySQL 5.6 performance schema’s low-level metrics have provided critical insight into how the system is performing and why. Support for Mutli-CPU Threads MySQL 5.6' support for multiple concurrent CPU threads, and FairWarning's custom data loader allow multiple files to load into a single table simultaneously vs. one at a time. As a result, their data load time has been reduced by 500%. MySQL Enterprise Hot Backup Because hospitals and clinics never stop, FairWarning solutions can’t either. FairWarning changed from using mysqldump to MySQL Enterprise Hot Backup, which has reduced downtime, restore time, and storage requirements. For many of their larger customers, restore time has decreased by 80%. MySQL Enterprise Edition and Product Roadmap Provide Complete Solution "MySQL's product roadmap fully addresses our needs. We like the fact that MySQL Enterprise Edition has everything included; there's no need to purchase separate modules."  - Chris Arnold Learn More>> FairWarning MySQL Case Study Why MySQL 5.6 is an Even Better Embedded Database for Your Products presentation Updating Your Products to MySQL 5.6, Best Practices for OEMs on-demand webinar (audio and / or slides + Q&A transcript) MyISAM to InnoDB – Why and How on-demand webinar (same stuff) Top 10 Reasons to Use MySQL as an Embedded Database white paper [1] 2013 Best in KLAS: Software & Services report, January, 2014. © 2014 KLAS Enterprises, LLC. All rights reserved.

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  • Implementing a modern web application with Web API on top of old services

    - by Gaui
    My company has many WCF services which may or may not be replaced in the near future. The old web application is written in WebForms and communicates straight with these services via SOAP and returns DataTables. Now I am designing a new modern web application in a modern style, an AngularJS client which communicates with an ASP.NET Web API via JSON. The Web API then communicates with the WCF services via SOAP. In the future I want to let the Web API handle all requests and go straight to the database, but because the business logic implemented in the WCF services is complicated it's going to take some time to rewrite and replace it. Now to the problem: I'm trying to make it easy in the near future to replace the WCF services with some other data storage, e.g. another endpoint, database or whatever. I also want to make it easy to unit test the business logic. That's why I have structured the Web API with a repository layer and a service layer. The repository layer has a straight communication with the data storage (WCF service, database, or whatever) and the service layer then uses the repository (Dependency Injection) to get the data. It doesn't care where it gets the data from. Later on I can be in control and structure the data returned from the data storage (DataTable to POCO) and be able to test the logic in the service layer with some mock repository (using Dependency Injection). Below is some code to explain where I'm going with this. But my question is, does this all make sense? Am I making this overly complicated and could this be simplified in any way possible? Does this simplicity make this too complicated to maintain? My main goal is to make it as easy as possible to switch to another data storage later on, e.g. an ORM and be able to test the logic in the service layer. And because the majority of the business logic is implemented in these WCF services (and they return DataTables), I want to be in control of the data and the structure returned to the client. Any advice is greatly appreciated. Update 20/08/14 I created a repository factory, so services would all share repositories. Now it's easy to mock a repository, add it to the factory and create a provider using that factory. Any advice is much appreciated. I want to know if I'm making things more complicated than they should be. So it looks like this: 1. Repository Factory public class RepositoryFactory { private Dictionary<Type, IServiceRepository> repositories; public RepositoryFactory() { this.repositories = new Dictionary<Type, IServiceRepository>(); } public void AddRepository<T>(IServiceRepository repo) where T : class { if (this.repositories.ContainsKey(typeof(T))) { this.repositories.Remove(typeof(T)); } this.repositories.Add(typeof(T), repo); } public dynamic GetRepository<T>() { if (this.repositories.ContainsKey(typeof(T))) { return this.repositories[typeof(T)]; } throw new RepositoryNotFoundException("No repository found for " + typeof(T).Name); } } I'm not very fond of dynamic but I don't know how to retrieve that repository otherwise. 2. Repository and service // Service repository interface // All repository interfaces extend this public interface IServiceRepository { } // Invoice repository interface // Makes it easy to mock the repository later on public interface IInvoiceServiceRepository : IServiceRepository { List<Invoice> GetInvoices(); } // Invoice repository // Connects to some data storage to retrieve invoices public class InvoiceServiceRepository : IInvoiceServiceRepository { public List<Invoice> GetInvoices() { // Get the invoices from somewhere // This could be a WCF, a database, or whatever using(InvoiceServiceClient proxy = new InvoiceServiceClient()) { return proxy.GetInvoices(); } } } // Invoice service // Service that handles talking to a real or a mock repository public class InvoiceService { // Repository factory RepositoryFactory repoFactory; // Default constructor // Default connects to the real repository public InvoiceService(RepositoryFactory repo) { repoFactory = repo; } // Service function that gets all invoices from some repository (mock or real) public List<Invoice> GetInvoices() { // Query the repository return repoFactory.GetRepository<IInvoiceServiceRepository>().GetInvoices(); } }

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  • Big Data – Basics of Big Data Architecture – Day 4 of 21

    - by Pinal Dave
    In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • ATG Live Webcast June 14: Technical Preview of EBS 12.2 Online Patching

    - by BillSawyer
    Online Patching is is one of the cornerstone new features in our upcoming Oracle E-Business Suite 12.2 release. This ground-breaking feature is based upon Edition-Based Redefinition, a new 11gR2 Database feature that was built to Oracle Applications division specifications to allow the E-Business Suite's database tier to be patched while the environment is running.  Online Patching combines the use of Edition-Based Redefinition and new E-Business Suite technologies to allow patching to the E-Business Suite's database and application tier servers while the environment is being actively used by its end-users. This webcast provides a detailed technical preview of: How this new feature works How it affects E-Business Suite end-users How it affects E-Business Suite database administrators and patching lifecycles How it affects developers and third-party software vendors responsible for E-Business Suite customizations and extensions The presenter for this event is Kevin Hudson, Senior Director and one of the Online Patching architects. There will be a special extended Q&A Session at the end of this presentation, given the nature of the materials and the questions that we expect from you. ATG Development staff supporting the Q&A session will include Elke Phelps, Santiago Bastidas, Max Arderius, and other ATG architects. Date:               Thursday, June 14, 2012Time:              8:00 AM - 10:00 AM Pacific Standard Time (Special 2-hour Time)Presenter:    Kevin Hudson, Senior Director, Applications Technology IntegrationWebcast Registration Link (Preregistration is optional but encouraged) To hear the audio feed:   Domestic Participant Dial-In Number:           877-697-8128   International Participant Dial-In Number:      706-634-9568   Dial-In Passcode:                                              100815To see the presentation:    The Direct Access Web Conference details are:    Website URL: https://ouweb.webex.com    Meeting Number:  597470987If you miss the webcast, or you have missed any webcast, don't worry -- we'll post links to the recording as soon as it's available from Oracle University.  You can monitor this blog for pointers to the replay. And, you can find our archive of our past webcasts and training here. When will Oracle E-Business Suite 12.2 be released? Oracle's Revenue Recognition rules prohibit us from discussing certification and release dates, but you're welcome to monitor or subscribe to this blog. We'll post updates here as soon as soon as they're available.    

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  • First Day of Data Integration Track at Oracle OpenWorld 2012

    - by Irem Radzik
    OpenWorld started full speed for us today with a great set of sessions in the Data Integration track. After the exciting keynote session on Oracle Database 12c in the morning; Brad Adelberg, VP of Development for Data Integration products, presented Oracle’s data integration product strategy. His session highlighted the new requirements for data integration to achieve pervasive and continuous access to trusted data. The new requirements and product focus areas presented in this session are: Provide access to any data at any source On premise or on cloud Enable zero downtime operations and maximum performance Leverage real-time data for accurate business insights And ensure high quality data is used across the enterprise During the session Brad walked over how Oracle’s data integration products, Oracle Data Integrator, Oracle GoldenGate, Oracle Enterprise Data Quality, and Oracle Data Service Integrator, deliver on these requirements and how recent product releases build on this strategy. Soon after Brad’s session we heard from a panel of Oracle GoldenGate customers, St. Jude Medical, Equifax, and Bank of America, how they achieved zero downtime operations using Oracle GoldenGate. The panel presented different use cases of GoldenGate, from Active-Active replication to offloading reporting. Especially St. Jude Medical’s implementation, which involves the alert management system for patients that use their pacemakers, reminded me in some cases downtime of mission-critical systems can be a matter of life or death. It is very comforting to hear that GoldenGate delivers highly-reliable continuous availability for life-saving medical systems. In the afternoon, Nick Wagner from the Product Management team and I followed the customer panel with the review of Oracle GoldenGate 11gR2’s New Features.  Many questions we received from audience were about GoldenGate’s new Integrated Capture for Oracle Database and the enhanced Conflict Management features, as well as how GoldenGate compares to Oracle Streams. In addition to giving details on GoldenGate’s unique capability to capture changed data with a direct integration to the Oracle DBMS engine, we reminded the audience that enhancements to Oracle GoldenGate will continue, while Streams will be primarily maintained. Last but not least, Tim Garrod and Ryan Fonnett from Raymond James presented a unified real-time data integration solution using Oracle Data Integrator and GoldenGate for their operational data store (ODS). The ODS supports application services across the enterprise and providing timely data is a critical requirement. In this solution, Oracle GoldenGate does the log-based change data capture for Oracle Data Integrator’s near real-time data integration between heterogeneous systems. As Raymond James’ ODS supports mission-critical services for their advisors, the project team had to set up this integration environment to be highly available. During the session, Ryan and Tim explained how they use ODI to enable automated process execution and “always-on” integration processes. Their presentation included 2 demonstrations that focused on CDC patterns deployed with ODI and the automated multi-instance execution and monitoring. We are very grateful to Tim and Ryan for their very-well prepared presentation at OpenWorld this year. Day 2 (Tuesday) will be also a busy day in our track. In addition to the Fusion Middleware Innovation Awards ceremony at 11:45am at Moscone West 3001, we have the following DI sessions Real-World Operational Reporting Customer Panel 11:45am Moscone West- 3005 Oracle Data Integrator Product Update and Future Strategy 1:15pm Moscone West- 3005 High-volume OLTP with Oracle GoldenGate: Best Practices from Comcast 1:15pm Moscone West- 3005 Everything You need to Know about Monitoring Oracle GoldenGate 5pm Moscone West-3005 If you are at OpenWorld please join us in these sessions. For a full review of data integration track at OpenWorld please see our Focus-On document.

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  • SQL SERVER – Select the Most Optimal Backup Methods for Server

    - by pinaldave
    Backup and Restore are very interesting concepts and one should be very much with the concept if you are dealing with production database. One never knows when a natural disaster or user error will surface and the first thing everybody wants is to get back on point in time when things were all fine. Well, in this article I have attempted to answer a few of the common questions related to Backup methodology. How to Select a SQL Server Backup Type In order to select a proper SQL Server backup type, a SQL Server administrator needs to understand the difference between the major backup types clearly. Since a picture is worth a thousand words, let me offer it to you below. Select a Recovery Model First The very first question that you should ask yourself is: Can I afford to lose at least a little (15 min, 1 hour, 1 day) worth of data? Resist the temptation to save it all as it comes with the overhead – majority of businesses outside finances can actually afford to lose a bit of data. If your answer is YES, I can afford to lose some data – select a SIMPLE (default) recovery model in the properties of your database, otherwise you need to select a FULL recovery model. The additional advantage of the Full recovery model is that it allows you to restore the data to a specific point in time vs to only last backup time in the Simple recovery model, but it exceeds the scope of this article Backups in SIMPLE Recovery Model In SIMPLE recovery model you can select to do just Full backups or Full + Differential. Full Backup This is the simplest type of backup that contains all information needed to restore the database and should be your first choice. It is often sufficient for small databases, but note that it makes a big impact on the performance of your database Full + Differential Backup After Full, Differential backup picks up all of the changes since the last Full backup. This means if you made Full, Diff, Diff backup – the last Diff backup contains all of the changes and you don’t need the previous Differential backup. Differential backup is obviously smaller and carries less performance overhead Backups in FULL Recovery Model In FULL recovery model you can select Full + Transaction Log or Full + Differential + Transaction Log backup. You have to create Transaction Log backup, because at that time the log is being truncated. Otherwise your Transaction Log will grow uncontrollably. Full + Transaction Log Backup You would always need to perform a Full backup first. Then a series of Transaction log backup. Note that (in contrast to Differential) you need ALL transactions to log since the last Full of Diff backup to properly restore. Transaction log backups have the smallest performance overhead and can be performed often. Full + Differential + Transaction Log Backup If you want to ease the performance overhead on your server, you can replace some of the Full backup in the previous scenario with Differential. You restore scenario would start from Full, then the Last Differential, then all of the remaining transactions log backups Typical backup Scenarios You may say “Well, it is all nice – give me the examples now”. As you may already know, my favorite SQL backup software is SQLBackupAndFTP. If you go to Advanced Backup Schedule form in this program and click “Load a typical backup plan…” link, it will give you these scenarios that I think are quite common – see the image below. The Simplest Way to Schedule SQL Backups I hate to repeat myself, but backup scheduling in SQL agent leaves a lot to be desired. I do not know the simple way to schedule your SQL server backups than in SQLBackupAndFTP – see the image below. The whole backup scheduling with compression, encryption and upload to a Network Folder / HDD / NAS Drive / FTP / Dropbox / Google Drive / Amazon S3 takes just a few minutes – see my previous post for the review. Final Words This post offered an explanation for major backup types only. For more complicated scenarios or to research other options as usually go to MSDN. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Backup and Restore, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • MaxTotalSizeInBytes - Blind spots in Usage file and Web Analytics Reports

    - by Gino Abraham
    Originally posted on: http://geekswithblogs.net/GinoAbraham/archive/2013/10/28/maxtotalsizeinbytes---blind-spots-in-usage-file-and-web-analytics.aspx http://blogs.msdn.com/b/sharepoint_strategery/archive/2012/04/16/usage-file-and-web-analytics-reports-with-blind-spots.aspx In my previous post (Troubleshooting SharePoint 2010 Web Analytics), I referenced a problem that can occur when exceeding the daily partition size for the LoggingDB, which generates the ULS message “[Partition] has exceeded the max bytes”. Below, I wanted to provide some additional info on this particular issue and help identify some options if this occurs. As an aside, this post only applies if you are missing portions of Usage data - think blind spots on intermittent days or user activity regularly sparse for the afternoon/evening. If this fits your scenario - read on. But if Usage logs are outright missing, go check out my Troubleshooting post first.  Background on the problem:The LoggingDB database has a default maximum size of ~6GB. However, SharePoint evenly splits this total size into fixed sized logical partitions – and the number of partitions is defined by the number of days to retain Usage data (by default 14 days). In this case, 14 partitions would be created to account for the 14 days of retention. If the retention were halved to 7 days, the LoggingDBwould be split into 7 corresponding partitions at twice the size. In other words, the partition size is generally defined as [max size for DB] / [number of retention days].Going back to the default scenario, the “max size” for the LoggingDB is 6200000000 bytes (~6GB) and the retention period is 14 days. Using our formula, this would be [~6GB] / [14 days], which equates to 444858368 bytes (~425MB) per partition per day. Again, if the retention were halved to 7 days (which halves the number of partitions), the resulting partition size becomes [~6GB] / [7 days], or ~850MB per partition.From my experience, when the partition size for any given day is exceeded, the usage logging for the remainder of the day is essentially thrown away because SharePoint won’t allow any more to be written to that day’s partition. The only clue that this is occurring (beyond truncated usage data) is an error such as the following that gets reported in the ULS:04/08/2012 09:30:04.78    OWSTIMER.EXE (0x1E24)    0x2C98    SharePoint Foundation    Health    i0m6     High    Table RequestUsage_Partition12 has 444858368 bytes that has exceeded the max bytes 444858368It’s also worth noting that the exact bytes reported (e.g. ‘444858368’ above) may slightly vary among farms. For example, you may instead see 445226812, 439123456, or something else in the ballpark. The exact number itself doesn't matter, but this error message intends to indicates that the reporting usage has exceeded the partition size for the given day.What it means:The error itself is easy to miss, which can lead to substantial gaps in the reporting data (your mileage may vary) if not identified. At this point, I can only advise to periodically check the ULS logs for this message. Down the road, I plan to explore if [Developing a Custom Health Rule] could be leveraged to identify the issue (If you've ever built Custom Health Rules, I'd be interested to hear about your experiences). Overcoming this issue also poses a challenge, with workaround options including:Lower the retentionBecause the partition size is generally defined as [max size] / [number of retention days], the first option is to lower the number of days to retain the data – the lower the retention, the lower the divisor and thus a bigger partition. For example, halving the retention from 14 to 7 days would halve the number of partitions, but double the partition size to ~850MB (e.g. [6200000000 bytes] / [7 days] = ~850GB partitions). Lowering it to 2 days would result in two ~3GB partitions… and so on.Recreate the LoggingDB with an increased sizeThe property MaxTotalSizeInBytes is exposed by OM code for the SPUsageDefinition object and can be updated with the example PowerShell snippet below. However, updating this value has no immediate impact because this size only applies when creating a LoggingDB. Therefore, you must create a newLoggingDB for the Usage Service Application. The gotcha: this effectively deletes all prior Usage databecause the Usage Service Application can only have a single LoggingDB.Here is an example snippet to update the "Page Requests" Usage Definition:$def=Get-SPUsageDefinition -Identity "page requests" $def.MaxTotalSizeInBytes=12400000000 $def.update()Create a new Logging database and attach to the Usage Service Application using the following command: Get-spusageapplication | Set-SPUsageApplication -DatabaseServer <dbServer> -DatabaseName <newDBname> Updated (5/10/2012): Once the new database has been created, you can confirm the setting has truly taken by running the following SQL Query (be sure to replace the database name in the following query with the name provided in the PowerShell above)SELECT * FROM [WSS_UsageApplication].[dbo].[Configuration] WITH (nolock) WHERE ConfigName LIKE 'Max Total Bytes - RequestUsage'

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  • Best of OTN - Week of Oct 21st

    - by CassandraClark-OTN
    This week's Best of OTN, for you, the best devs, dba's, sysadmins and architects out there!  In these weekly posts the OTN team will highlight the top content from each community; Architect, Database, Systems and Java.  Since we'll be publishing this on Fridays, we'll also mix in a little fun! Architect Community Top Content- The Road Ahead for WebLogic 12c | Edwin BiemondOracle ACE Edwin Biemond shares his thoughts on announced new features in Oracle WebLogic 12.1.3 & 12.1.4 and compares those upcoming releases to Oracle WebLogic 12.1.2. A Roadmap for SOA Development and Delivery | Mark NelsonDo you know the way to S-O-A? Mark Nelson does. His latest blog post, part of an ongoing series, will help to keep you from getting lost along the way. Updated ODI Statement of Direction | Robert SchweighardtHeads up Oracle Data Integrator fans! A new statement of product direction document is available, offering an overview of the strategic product plans for Oracle’s data integration products for bulk data movement and transformation, specifically Oracle Data Integrator (ODI) and Oracle Warehouse Builder (OWB). Bob Rhubart, Architect Community Manager Friday Funny - "Some people approach every problem with an open mouth." — Adlai E. Stevenson (October 23, 1835 – June 14, 1914) 23rd Vice President of the United States Database Community Top Content - Pre-Built Developer VMs (for Oracle VM VirtualBox)Heard all the chatter about Oracle VirtualBox? Over 1 million downloads per week and look: pre-built virtual appliances designed specifically for developers. Video: Big Data, or BIG DATA?Oracle Ace Director Ben Prusinski explains the differences.?? Webcast Series - Developing Applications in Oracle's Public CloudTime to get started on developing and deploying cloud applications by moving to the cloud. Good friend Gene Eun from Oracle's Cloud team posted this two-part Webcast series that has an overview and demonstration of the Oracle Database Cloud Service. Check out the demos on how to migrate your data to the cloud, extend your application with interactive reporting, and create and access RESTful Web services. Registration required, but so worth it! Laura Ramsey, Database Community Manager Friday Funny - Systems Community Top Content - Video: What Kind of Scalability is Better, Horizontal or Vertical?Rick Ramsey asks the question "Is Oracle's approach to large vertically scaled servers at odds with today's trend of combining lots and lots of small, low-cost servers systems with networking to build a cloud, or is it a better approach?" Michael Palmeter, Director of Solaris Product Management, and Renato Ribeiro, Director Product Management for SPARC Servers, discuss.Video: An Engineer Takes a Minute to Explain CloudBart Smaalders, long-time Oracle Solaris core engineer, takes a minute to explain cloud from a sysadmin point of view. ?Hands-On Lab: How to Deploy and Manage a Private IaaS Cloud Soup to nuts. This lab shows you how to set up and manage a private cloud with Oracle Enterprise Manager Cloud Control 12c in an Infrastructure as a service (IaaS) model. You will first configure the IaaS cloud as the cloud administrator and then deploy guest virtual machines (VMs) as a self-service user. Rick Ramsey, Systems Community Manager Friday Funny - Video: Drunk Airline Pilot - Dean Martin - Foster Brooks Java Community Top Content - Video: NightHacking Interview with James GoslingJames Gosling, the Father of Java, discusses robotics, Java and how to keep his autonomous WaveGliders in the ocean for weeks at a time. Live from Hawaii.  Video: Raspberry Pi Developer Challenge: Remote Controller A developer who knew nothing about Java Embedded or Raspberry Pi shows how he can now control a robot with his phone. The project was built during the Java Embedded Challenge for Raspberry Pi at JavaOne 2013.Java EE 7 Certification Survey - Participants NeededHelp us define how to server your training and certification needs for Java EE 7. Tori Wieldt, Java Community Manager Friday Funny - Programmers have a strong sensitivity to Yak's pheromone. Causes irresistible desire to shave said Yak. Thanks, @rickasaurus! To follow and take part in the conversation follow/like etc. at one or all of the resources below -  OTN TechBlog The Java Source Blog The OTN Garage Blog The OTN ArchBeat Blog @oracletechnet @java @OTN_Garage @OTNArchBeat @OracleDBDev OTN I Love Java OTN Garage OTN ArchBeat Oracle DB Dev OTN Java

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  • GoldenGate 12c - MySQL Active-Active Replication Setup

    - by Jinyu Wang-Oracle
    Active-active  (also called Master-Master or Bi-Directional) replication captures data changes from two or more systems and replicat the changes to synchronize the data.  Active-Active replication is often needed for high availability, load balancing and scaling out purposes.   Oracle GoldenGate is known to be one of the first and the best replication tool handling active-active replications. As of Oracle GoldenGate 12c, it provides (Refer to Oracle GoldenGate 12.1.2 Documentation - Configuring Oracle GoldenGate for Active-Active High Availability for more information) the followings: Robust loop-back prevention Comprehensive conflict resolution and detection support Heterogeneous support across different database versions and operation systems.  Oracle GoldenGate supports active-active configurations for DB2 on z/OS, LUW, and IBM i, MySQL, Oracle, SQL/MX,SQL Server, Sybase, and Teradata. However, the setup is different from database to database. In this example, I will show you how to setup an active-active data replication between two MySQL database instances. The example setup below is to have active-active replication between MySQL 5.5 and MySQL 5.6 instances and is shown as follows: MySQL 5.5 (Manager Port: 15105)  Extract EXTRACT demoex01 SETENV (MYSQL_UNIX_PORT='/home/oracle/software/mysql_5.5.38/data/mysql.sock') DBOPTIONS CONNECTIONPORT 3305 DBOPTIONS HOST oraclelinux6.localdomain SOURCEDB test USERID root, PASSWORD mysql EXTTRAIL ./dirdat/extract/de TRANLOGOPTIONS ALTLOGDEST "/home/oracle/software/mysql_5.5.38/data/binlog/bin-log.index" FILTERTABLE test.checkpoint_tbl REPORTROLLOVER AT 05:30 ON saturday TABLE test.TCUSTMER; TABLE test.TCUSTORD; Pump EXTRACT demopm01 RMTHOST localhost, MGRPORT 15106, COMPRESS, TIMEOUT 30 RMTTRAIL ./dirdat/replicat/ps PASSTHRU TABLE test.TCUSTMER; TABLE test.TCUSTORD; Replicat replicat demorp01 setenv (MYSQL_UNIX_PORT='/home/oracle/software/mysql_5.5.38/data/mysql.sock') dboptions host oraclelinux6.localdomain, connectionport 3305 targetdb test, userid root, password mysql sourcedefs ./dirdat/replicat/democust.def discardfile ./dirrpt/demprp01.dsc, purge REPERROR (DEFAULT, ABEND) REPERROR(1062, IGNORE) map test.TCUSTMER, target test.TCUSTMER,colmap(usedefaults, region_code="region code"); map test.TCUSTORD, target test.TCUSTORD; MySQL 5.6 (Manager Port: 15106) Replicat replicat demorp01 setenv (MYSQL_UNIX_PORT='/home/oracle/software/mysql_5.6.19/data/mysql.sock') dboptions host oraclelinux6.localdomain, connectionport 3306 targetdb test, userid root, password mysql --assumetargetdefs sourcedefs ./dirdat/replicat/democust.def discardfile ./dirrpt/demprp01.dsc, purge map test.TCUSTMER, target test.TCUSTMER, colmap(usedefaults, "region code"=region_code); map test.TCUSTORD, target test.TCUSTORD; Extract EXTRACT demoex01 SETENV (MYSQL_UNIX_PORT='/home/oracle/software/mysql_5.6.19/data/mysql.sock') DBOPTIONS CONNECTIONPORT 3306 DBOPTIONS HOST oraclelinux6.localdomain SOURCEDB test USERID root, USERID mysql EXTTRAIL ./dirdat/extract/de TRANLOGOPTIONS ALTLOGDEST "/usr/local/mysql56/data/binlog/bin-log.index" FILTERTABLE test.checkpoint_tbl TABLE test.TCUSTMER; TABLE test.TCUSTORD; Pump EXTRACT demopm01 RMTHOST localhost, MGRPORT 15105, COMPRESS, TIMEOUT 30 RMTTRAIL ./dirdat/replicat/ps PASSTHRU TABLE test.TCUSTMER; TABLE test.TCUSTORD; The setup parameters are quite self-explanatory. The key setup is to avoid the replication data  looping. Oracle GoldenGate for MySQL uses the information in the replication checkpoint table to identify the transaction applied by replicats and thus avoid extracting those transactions by Oracle GoldenGate extracts. The example setup in the extract in MySQL 5.5 instance is shown as follows.  TRANLOGOPTIONS ALTLOGDEST "/home/oracle/software/mysql_5.5.38/data/binlog/bin-log.index" FILTERTABLE test.checkpoint_tbl Setting up an active-active replication is often more complicated than this and requires the following additional considerations. I would elaborate on this in the follow-up discussions. 

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  • Drinking Our Own Champagne: Fusion Accounting Hub at Oracle

    - by Di Seghposs
    A guest post by Corey West, Senior Vice President, Oracle's Corporate Controller and Chief Accounting Officer There's no better story to tell than one about Oracle using its own products with blowout success. Here's how this one goes. As you know, Oracle has increased its share of the software market through a number of high-profile acquisitions. Legally combining companies is a very complicated process -- it can take months to complete, especially for the acquisitions with offices in several countries, each with its own unique laws and regulations. It's a mission critical and time sensitive process to roll an acquired company's legacy systems (running vital operations, such as accounts receivable and general ledger (GL)) into the existing systems at Oracle. To date, we've run our primary financial ledgers in E-Business Suite R12 -- and we've successfully met the requirements of the business and closed the books on time every single quarter. But there's always room for improvement and that comes in the form of Fusion Applications. We are now live on Fusion Accounting Hub (FAH), which is the first critical step in moving to a full Fusion Financials instance. We started with FAH so that we could design a global chart of accounts. Eventually, every transaction in every country will originate from this global chart of accounts -- it becomes the structure for managing our business more uniformly. In conjunction, we're using Oracle Hyperion Data Relationship Management (DRM) to centralize and automate governance of our global chart of accounts and related hierarchies, which will help us lower our costs and greatly reduce risk. Each month, we have to consolidate data from our primary general ledgers. We have been able to simplify this process considerably using FAH. We can now submit our primary ledgers running in E-Business Suite (EBS) R12 directly to FAH, eliminating the need for more than 90 redundant consolidation ledgers. Also we can submit incrementally, so if we need to book an adjustment in a primary ledger after close, we can do so without re-opening it and re-submitting. As a result, we have earlier visibility to period-end actuals during the close. A goal of this implementation, and one that we successfully achieved, is that we are able to use FAH globally with no customization. This means we have the ability to fully deploy ledger sets at the consolidation level, plus we can use standard functionality for currency translation and mass allocations. We're able to use account monitoring and drill down functionality from the consolidation level all the way through to EBS primary ledgers and sub-ledgers, which allows someone to click through a transaction appearing at the consolidation level clear through to its original source, a significant productivity enhancement when doing research. We also see a significant improvement in reporting using Essbase cube and Hyperion Smart View. Specifically, "the addition of an Essbase cube on top of the GL gives us tremendous versatility to automate and speed our elimination process," says Claire Sebti, Senior Director of Corporate Accounting at Oracle. A highlight of this story is that FAH is running in a co-existence environment. Our plan is to move to Fusion Financials in steps, starting with FAH. Next, our Oracle Financial Services Software subsidiary will move to a full Fusion Financials instance. Then we'll replace our EBS instance with Fusion Financials. This approach allows us to plan in steps, learn as we go, and not overwhelm our teams. It also reduces the risk that comes with moving the entire instance at once. Maria Smith, Vice President of Global Controller Operations, is confident about how they've positioned themselves to uptake more Fusion functionality and is eager to "continue to drive additional efficiency and cost savings." In this story, the happy customers are Oracle controllers, financial analysts, accounting specialists, and our management team that get earlier access to more flexible reporting. "Fusion Accounting Hub simplifies our processes and gives us more transparency into account activity," raves Alex SanJuan, Senior Director, Record to Report Strategic Process Owner. Overall, the team has been very impressed with the usability and functionality of FAH and are pleased with the quantifiable improvements. Claire Sebti states, "Our WD5 close activities have been reduced by at least four hours of system processing time, just for the consolidation group." Fusion Accounting Hub is an inspiring beginning to our Fusion Financials implementation story. There's no doubt it's going to be an international bestseller! Corey West, Senior Vice President Oracle's Corporate Controller and Chief Accounting Officer

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  • Columnstore Case Study #1: MSIT SONAR Aggregations

    - by aspiringgeek
    Preamble This is the first in a series of posts documenting big wins encountered using columnstore indexes in SQL Server 2012 & 2014.  Many of these can be found in this deck along with details such as internals, best practices, caveats, etc.  The purpose of sharing the case studies in this context is to provide an easy-to-consume quick-reference alternative. Why Columnstore? If we’re looking for a subset of columns from one or a few rows, given the right indexes, SQL Server can do a superlative job of providing an answer. If we’re asking a question which by design needs to hit lots of rows—DW, reporting, aggregations, grouping, scans, etc., SQL Server has never had a good mechanism—until columnstore. Columnstore indexes were introduced in SQL Server 2012. However, they're still largely unknown. Some adoption blockers existed; yet columnstore was nonetheless a game changer for many apps.  In SQL Server 2014, potential blockers have been largely removed & they're going to profoundly change the way we interact with our data.  The purpose of this series is to share the performance benefits of columnstore & documenting columnstore is a compelling reason to upgrade to SQL Server 2014. App: MSIT SONAR Aggregations At MSIT, performance & configuration data is captured by SCOM. We archive much of the data in a partitioned data warehouse table in SQL Server 2012 for reporting via an application called SONAR.  By definition, this is a primary use case for columnstore—report queries requiring aggregation over large numbers of rows.  New data is refreshed each night by an automated table partitioning mechanism—a best practices scenario for columnstore. The Win Compared to performance using classic indexing which resulted in the expected query plan selection including partition elimination vs. SQL Server 2012 nonclustered columnstore, query performance increased significantly.  Logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Other than creating the columnstore index, no special modifications or tweaks to the app or databases schema were necessary to achieve the performance improvements.  Existing nonclustered indexes were rendered superfluous & were deleted, thus mitigating maintenance challenges such as defragging as well as conserving disk capacity. Details The table provides the raw data & summarizes the performance deltas. Logical Reads (8K pages) CPU (ms) Durn (ms) Columnstore 160,323 20,360 9,786 Conventional Table & Indexes 9,053,423 549,608 193,903 ? x56 x27 x20 The charts provide additional perspective of this data.  "Conventional vs. Columnstore Metrics" document the raw data.  Note on this linear display the magnitude of the conventional index performance vs. columnstore.  The “Metrics (?)” chart expresses these values as a ratio. Summary For DW, reports, & other BI workloads, columnstore often provides significant performance enhancements relative to conventional indexing.  I have documented here, the first in a series of reports on columnstore implementations, results from an initial implementation at MSIT in which logical reads were reduced by over a factor of 50; both CPU & duration improved by factors of 20 or more.  Subsequent features in this series document performance enhancements that are even more significant. 

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  • SQL Constraints &ndash; CHECK and NOCHECK

    - by David Turner
    One performance issue i faced at a recent project was with the way that our constraints were being managed, we were using Subsonic as our ORM, and it has a useful tool for generating your ORM code called SubStage – once configured, you can regenerate your DAL code easily based on your database schema, and it can even be integrated into your build as a pre-build event if you want to do this.  SubStage also offers the useful feature of being able to generate DDL scripts for your entire database, and can script your data for you too. The problem came when we decided to use the generate scripts feature to migrate the database onto a test database instance – it turns out that the DDL scripts that it generates include the WITH NOCHECK option, so when we executed them on the test instance, and performed some testing, we found that performance wasn’t as expected. A constraint can be disabled, enabled but not trusted, or enabled and trusted.  When it is disabled, data can be inserted that violates the constraint because it is not being enforced, this is useful for bulk load scenarios where performance is important.  So what does it mean to say that a constraint is trusted or not trusted?  Well this refers to the SQL Server Query Optimizer, and whether it trusts that the constraint is valid.  If it trusts the constraint then it doesn’t check it is valid when executing a query, so the query can be executed much faster. Here is an example base in this article on TechNet, here we create two tables with a Foreign Key constraint between them, and add a single row to each.  We then query the tables: 1 DROP TABLE t2 2 DROP TABLE t1 3 GO 4 5 CREATE TABLE t1(col1 int NOT NULL PRIMARY KEY) 6 CREATE TABLE t2(col1 int NOT NULL) 7 8 ALTER TABLE t2 WITH CHECK ADD CONSTRAINT fk_t2_t1 FOREIGN KEY(col1) 9 REFERENCES t1(col1) 10 11 INSERT INTO t1 VALUES(1) 12 INSERT INTO t2 VALUES(1) 13 GO14 15 SELECT COUNT(*) FROM t2 16 WHERE EXISTS17 (SELECT *18 FROM t1 19 WHERE t1.col1 = t2.col1) This all works fine, and in this scenario the constraint is enabled and trusted.  We can verify this by executing the following SQL to query the ‘is_disabled’ and ‘is_not_trusted’ properties: 1 select name, is_disabled, is_not_trusted from sys.foreign_keys This gives the following result: We can disable the constraint using this SQL: 1 alter table t2 NOCHECK CONSTRAINT fk_t2_t1 And when we query the constraints again, we see that the constraint is disabled and not trusted: So the constraint won’t be enforced and we can insert data into the table t2 that doesn’t match the data in t1, but we don’t want to do this, so we can enable the constraint again using this SQL: 1 alter table t2 CHECK CONSTRAINT fk_t2_t1 But when we query the constraints again, we see that the constraint is enabled, but it is still not trusted: This means that the optimizer will check the constraint each time a query is executed over it, which will impact the performance of the query, and this is definitely not what we want, so we need to make the constraint trusted by the optimizer again.  First we should check that our constraints haven’t been violated, which we can do by running DBCC: 1 DBCC CHECKCONSTRAINTS (t2) Hopefully you see the following message indicating that DBCC completed without finding any violations of your constraint: Having verified that the constraint was not violated while it was disabled, we can simply execute the following SQL:   1 alter table t2 WITH CHECK CHECK CONSTRAINT fk_t2_t1 At first glance this looks like it must be a typo to have the keyword CHECK repeated twice in succession, but it is the correct syntax and when we query the constraints properties, we find that it is now trusted again: To fix our specific problem, we created a script that checked all constraints on our tables, using the following syntax: 1 ALTER TABLE t2 WITH CHECK CHECK CONSTRAINT ALL

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  • SQL SERVER – Finding Different ColumnName From Almost Identitical Tables

    - by pinaldave
    I have mentioned earlier on this blog that I love social media – Facebook and Twitter. I receive so many interesting questions that sometimes I wonder how come I never faced them in my real life scenario. Well, let us see one of the similar situation. Here is one of the questions which I received on my social media handle. “Pinal, I have a large database. I did not develop this database but I have inherited this database. In our database we have many tables but all the tables are in pairs. We have one archive table and one current table. Now here is interesting situation. For a while due to some reason our organization has stopped paying attention to archive data. We did not archive anything for a while. If this was not enough we  even changed the schema of current table but did not change the corresponding archive table. This is now becoming a huge huge problem. We know for sure that in current table we have added few column but we do not know which ones. Is there any way we can figure out what are the new column added in the current table and does not exist in the archive tables? We cannot use any third party tool. Would you please guide us?” Well here is the interesting example of how we can use sys.column catalogue views and get the details of the newly added column. I have previously written about EXCEPT over here which is very similar to MINUS of Oracle. In following example we are going to create two tables. One of the tables has extra column. In our resultset we will get the name of the extra column as we are comparing the catalogue view of the column name. USE AdventureWorks2012 GO CREATE TABLE ArchiveTable (ID INT, Col1 VARCHAR(10), Col2 VARCHAR(100), Col3 VARCHAR(100)); CREATE TABLE CurrentTable (ID INT, Col1 VARCHAR(10), Col2 VARCHAR(100), Col3 VARCHAR(100), ExtraCol INT); GO -- Columns in ArchiveTable but not in CurrentTable SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'ArchiveTable' EXCEPT SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'CurrentTable' GO -- Columns in CurrentTable but not in ArchiveTable SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'CurrentTable' EXCEPT SELECT name ColumnName FROM sys.columns WHERE OBJECT_NAME(OBJECT_ID) = 'ArchiveTable' GO DROP TABLE ArchiveTable; DROP TABLE CurrentTable; GO The above query will return us following result. I hope this solves the problems. It is not the most elegant solution ever possible but it works. Here is the puzzle back to you – what native T-SQL solution would you have provided in this situation? Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL System Table, SQL Tips and Tricks, T SQL, Technology

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  • SQL SERVER – Importance of User Without Login

    - by pinaldave
    Some questions are very open ended and it is very hard to come up with exact requirements. Here is one question I was asked in recent User Group Meeting. Question: “In recent version of SQL Server we can create user without login. What is the use of it?” Great question indeed. Let me first attempt to answer this question but after reading my answer I need your help. I want you to help him as well with adding more value to it. Answer: Let us visualize a scenario. An application has lots of different operations and many of them are very sensitive operations. The common practice was to do give application specific role which has more permissions and access level. When a regular user login (not system admin), he/she might have very restrictive permissions. The application itself had a user name and password which means applications can directly login into the database and perform the operation. Developers were well aware of the username and password as it was embedded in the application. When developer leaves the organization or when the password was changed, the part of the application had to be changed where the same username and passwords were used. Additionally, developers were able to use the same username and password and login directly to the same application. In earlier version of SQL Server there were application roles. The same is later on replaced by “User without Login”. Now let us recreate the above scenario using this new “User without Login”. In this case, User will have to login using their own credentials into SQL Server. This means that the user who is logged in will have his/her own username and password. Once the login is done in SQL Server, the user will be able to use the application. Now the database should have another User without Login which has all the necessary permissions and rights to execute various operations. Now, Application will be able to execute the script by impersonating “user without login – with more permissions”. Here there is assumed that user login does not have enough permissions and another user (without login) there are more rights. If a user knows how the application is using the database and their various operations, he can switch the context to user without login making him enable for doing further modification. Make sure to explicitly DENY view definition permission on the database. This will make things further difficult for user as he will have to know exact details to get additional permissions. If a user is System Admin all the details which I just mentioned in above three paragraphs does not apply as admin always have access to everything. Additionally, the method describes above is just one of the architecture and if someone is attempting to damage the system, they will still be able to figure out a workaround. You will have to put further auditing and policy based management to prevent such incidents and accidents. I guess this is my answer. I read it multiple times but I still feel that I am missing something. There should be more to this concept than what I have just described. I have merely described one scenario but there will be many more scenarios where this situation will be useful. Now is your turn to help – please leave a comment with the additional suggestion where exactly “User without Login” will be useful as well did I miss anything when I described above scenario. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Security, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • New R Interface to Oracle Data Mining Available for Download

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

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  • World Record Siebel PSPP Benchmark on SPARC T4 Servers

    - by Brian
    Oracle's SPARC T4 servers set a new World Record for Oracle's Siebel Platform Sizing and Performance Program (PSPP) benchmark suite. The result used Oracle's Siebel Customer Relationship Management (CRM) Industry Applications Release 8.1.1.4 and Oracle Database 11g Release 2 running Oracle Solaris on three SPARC T4-2 and two SPARC T4-1 servers. The SPARC T4 servers running the Siebel PSPP 8.1.1.4 workload which includes Siebel Call Center and Order Management System demonstrates impressive throughput performance of the SPARC T4 processor by achieving 29,000 users. This is the first Siebel PSPP 8.1.1.4 benchmark supporting 29,000 concurrent users with a rate of 239,748 Business Transactions/hour. The benchmark demonstrates vertical and horizontal scalability of Siebel CRM Release 8.1.1.4 on SPARC T4 servers. Performance Landscape Systems Txn/hr Users Call Center Order Management Response Times (sec) 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – Web 3 x SPARC T4-2 (2 x SPARC T4 2.85 GHz) – App/Gateway 1 x SPARC T4-1 (1 x SPARC T4 2.85 GHz) – DB 239,748 29,000 0.165 0.925 Oracle: Call Center + Order Management Transactions: 197,128 + 42,620 Users: 20300 + 8700 Configuration Summary Web Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 10 8/11 iPlanet Web Server 7 Application Server Configuration: 3 x SPARC T4-2 servers, each with 2 x SPARC T4 processor, 2.85 GHz 256 GB memory 3 x 300 GB SAS internal disks Oracle Solaris 10 8/11 Siebel CRM 8.1.1.5 SIA Database Server Configuration: 1 x SPARC T4-1 server 1 x SPARC T4 processor, 2.85 GHz 128 GB memory Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.2) Storage Configuration: 1 x Sun Storage F5100 Flash Array 80 x 24 GB flash modules Benchmark Description Siebel 8.1 PSPP benchmark includes Call Center and Order Management: Siebel Financial Services Call Center – Provides the most complete solution for sales and service, allowing customer service and telesales representatives to provide superior customer support, improve customer loyalty, and increase revenues through cross-selling and up-selling. High-level description of the use cases tested: Incoming Call Creates Opportunity, Quote and Order and Incoming Call Creates Service Request . Three complex business transactions are executed simultaneously for specific number of concurrent users. The ratios of these 3 scenarios were 30%, 40%, 30% respectively, which together were totaling 70% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 10, 13, and 35 seconds respectively. Siebel Order Management – Oracle's Siebel Order Management allows employees such as salespeople and call center agents to create and manage quotes and orders through their entire life cycle. Siebel Order Management can be tightly integrated with back-office applications allowing users to perform tasks such as checking credit, confirming availability, and monitoring the fulfillment process. High-level description of the use cases tested: Order & Order Items Creation and Order Updates. Two complex Order Management transactions were executed simultaneously for specific number of concurrent users concurrently with aforementioned three Call Center scenarios above. The ratio of these 2 scenarios was 50% each, which together were totaling 30% of all transactions simulated in this benchmark. Between each user operation and the next one, the think time averaged approximately 20 and 67 seconds respectively. Key Points and Best Practices No processor cores or cache were activated or deactivated on the SPARC T-Series systems to achieve special benchmark effects. See Also Siebel White Papers SPARC T4-1 Server oracle.com OTN SPARC T4-2 Server oracle.com OTN Siebel CRM oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 30 September 2012.

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