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  • Is it okay to violate the principle that collection properties should be readonly for performance?

    - by uriDium
    I used FxCop to analyze some code I had written. I had exposed a collection via a setter. I understand why this is not good. Changing the backing store when I don't expect it is a very bad idea. Here is my problem though. I retrieve a list of business objects from a Data Access Object. I then need to add that collection to another business class and I was doing it with the setter method. The reason I did this was that it is going to be faster to make an assignment than to insert hundreds of thousands of objects one at a time to the collection again via another addElement method. Is it okay to have a getter for a collection in some scenarios? I though of rather having a constructor which takes a collection? I thought maybe I could pass the object in to the Dao and let the Dao populate it directly? Are there any other better ideas?

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  • [boost::filesystem] performance: is it better to read all files once, or use b::fs functions over an

    - by rubenvb
    I'm conflicted between a "read once, use memory+pointers to files" and a "read when necessary" approach. The latter is of course much easier (no additional classes needed to store the whole dir structure), but IMO it is slower? A little clarification: I'm writing a simple build system, that read a project file, checks if all files are present, and runs some compile steps. The file tree is static, so the first option doesn't need to be very dynamic and only needs to be built once every time the program is run. Thanks

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  • Normalize database or not? Read only MyISAM table, performance is the main priority (MySQL)

    - by hello
    I'm importing data to a future database that will have one, static MyISAM table (will only be read from). I chose MyISAM because as far as I understand it's faster for my requirements (I'm not very experienced with MySQL / SQL at all). That table will have various columns such as ID, Name, Gender, Phone, Status... and Country, City, Street columns. Now the question is, should I create tables (e.g Country: Country_ID, Country_Name) for the last 3 columns and refer to them in the main table by ID (normalize...[?]), or just store them as VARCHAR in the main table (having duplicates, obviously)? My primary concern is speed - since the table won't be written into, data integrity is not a priority. The only actions will be selecting a specific row or searching for rows that much a certain criteria. Would searching by the Country, City and/or Street columns (and possibly other columns in the same search) be faster if I simply use VARCHAR?

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  • Forcing the use of an index can improve performance?

    - by aF.
    Imagine that we have a query like this: select a.col1, b.col2 from t1 a inner join t2 b on a.col1 = b.col2 where a.col1 = 'abc' Both col1 and col2 don't have any index. If I add another restriction on the where clause, one that is always correct but with a column with an index: select a.col1, b.col2 from t1 a inner join t2 b on a.col1 = b.col2 where a.col1 = 'abc' and a.id >= 0 -- column always true and with index May the query perform faster since it may use the index on id column?

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  • performance: jquery.live() vs. creating specific listeners on demand?

    - by Haroldo
    I have a page with news item titles, clicking each one ajax loads a full news items including a photo thumbnail. I want to attach a lightbox to the thumbnails to show a bigger photo. I have two options (i think): .live() . $('img .thumb').live('click', function()) add a specific id based listener on callback of the news item click . $('div.news_item').click(function(){ var id = $(this).attr('id'); //click show_news_item(), //callback function(){$(id+' .thumb').lightbox();} })

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  • Performance of vector::size() : is it as fast as reading a variable?

    - by zoli2k
    I have do an extensive calculation on a big vector of integers. The vector size is not changed during the calculation. The size of the vector is frequently accessed by the code. What is faster in general: using the vector::size() function or using helper constant vectorSize storing the size of the vector? I know that compilers usually able to inline the size() function when setting the proper compiler flags, however, making a function inline is something that a compiler may do but can not be forced.

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  • Light Weight Monitoring using Extended Events

    Introduction SQL Server 2008 introduces Extended Events for performance monitoring. SQL Server Extended Events is a general event-handling system for server systems. So  why another event handling system? We already have activity monitor, Perfmon, SQL Profiler, DMVs,. However, Extended Events ... [Read Full Article]

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  • "power limit notification" clobbering on 12G Dell servers with RHEL6

    - by Andrew B
    Server: Poweredge r620 OS: RHEL 6.4 Kernel: 2.6.32-358.18.1.el6.x86_64 I'm experiencing application alarms in my production environment. Critical CPU hungry processes are being starved of resources and causing a processing backlog. The problem is happening on all the 12th Generation Dell servers (r620s) in a recently deployed cluster. As near as I can tell, instances of this happening are matching up to peak CPU utilization, accompanied by massive amounts of "power limit notification" spam in dmesg. An excerpt of one of these events: Nov 7 10:15:15 someserver [.crit] CPU12: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU0: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU6: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU14: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU18: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU2: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU4: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU16: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU0: Package power limit notification (total events = 11) Nov 7 10:15:15 someserver [.crit] CPU6: Package power limit notification (total events = 13) Nov 7 10:15:15 someserver [.crit] CPU14: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU18: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU20: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU8: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU2: Package power limit notification (total events = 12) Nov 7 10:15:15 someserver [.crit] CPU10: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU22: Core power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU4: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU16: Package power limit notification (total events = 13) Nov 7 10:15:15 someserver [.crit] CPU20: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU8: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU10: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU22: Package power limit notification (total events = 14) Nov 7 10:15:15 someserver [.crit] CPU15: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU3: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU1: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU5: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU17: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU13: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU15: Package power limit notification (total events = 375) Nov 7 10:15:15 someserver [.crit] CPU3: Package power limit notification (total events = 374) Nov 7 10:15:15 someserver [.crit] CPU1: Package power limit notification (total events = 376) Nov 7 10:15:15 someserver [.crit] CPU5: Package power limit notification (total events = 376) Nov 7 10:15:15 someserver [.crit] CPU7: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU19: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU17: Package power limit notification (total events = 377) Nov 7 10:15:15 someserver [.crit] CPU9: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU21: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU23: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU11: Core power limit notification (total events = 369) Nov 7 10:15:15 someserver [.crit] CPU13: Package power limit notification (total events = 376) Nov 7 10:15:15 someserver [.crit] CPU7: Package power limit notification (total events = 375) Nov 7 10:15:15 someserver [.crit] CPU19: Package power limit notification (total events = 375) Nov 7 10:15:15 someserver [.crit] CPU9: Package power limit notification (total events = 374) Nov 7 10:15:15 someserver [.crit] CPU21: Package power limit notification (total events = 375) Nov 7 10:15:15 someserver [.crit] CPU23: Package power limit notification (total events = 374) A little Google Fu reveals that this is typically associated with the CPU running hot, or voltage regulation kicking in. I don't think that's what is happening though. Temperature sensors for all servers in the cluster are running fine, Power Cap Policy is disabled in the iDRAC, and my System Profile is set to "Performance" on all of these servers: # omreport chassis biossetup | grep -A10 'System Profile' System Profile Settings ------------------------------------------ System Profile : Performance CPU Power Management : Maximum Performance Memory Frequency : Maximum Performance Turbo Boost : Enabled C1E : Disabled C States : Disabled Monitor/Mwait : Enabled Memory Patrol Scrub : Standard Memory Refresh Rate : 1x Memory Operating Voltage : Auto Collaborative CPU Performance Control : Disabled A Dell mailing list post describes the symptoms almost perfectly. Dell suggested that the author try using the Performance profile, but that didn't help. He ended up applying some settings in Dell's guide for configuring a server for low latency environments and one of those settings (or a combination thereof) seems to have fixed the problem. Kernel.org bug #36182 notes that power-limit interrupt debugging was enabled by default, which is causing performance degradation in scenarios where CPU voltage regulation is kicking in. A RHN KB article (RHN login required) mentions a problem impacting PE r620 and r720 servers not running the Performance profile, and recommends an update to a kernel released two weeks ago. ...Except we are running the Performance profile... Everything I can find online is running me in circles here. What's the heck is going on?

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  • Difficulty analyzing text from a file

    - by Nikko
    I'm running into a rather amusing error with my output on this lab and I was wondering if any of you might be able to hint at where my problem lies. The goal is find the high, low, average, sum of the record, and output original record. I started with a rather basic program to solve for one record and when I achieved this I expanded the program to work with the entire text file. Initially the program would correctly output: 346 130 982 90 656 117 595 High# Low# Sum# Average# When I expanded it to work for the entire record my output stopped working how I had wanted it to. 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 0 0 0 0 0 0 0 High: 0 Low: 0 Sum: 0 Average: 0 etc... I cant quite figure out why my ifstream just completely stopped bothering to input the values from file. I'll go take a walk and take another crack at it. If that doesn't work I'll be back here to check for any responses =) Thank you! #include <iostream> #include <fstream> #include <iomanip> #include <string> using namespace std; int main() { int num; int high = 0; int low = 1000; double average = 0; double sum = 0; int numcount = 0; int lines = 1; char endoline; ifstream inData; ofstream outData; inData.open("c:\\Users\\Nikko\\Desktop\\record5ain.txt"); outData.open("c:\\Users\\Nikko\\Desktop\\record5aout.txt"); if(!inData) //Reminds me to change path names when working on different computers. { cout << "Could not open file, program will exit" << endl; exit(1); } while(inData.get(endoline)) { if(endoline == '\n') lines++; } for(int A = 0; A < lines; A++) { for(int B = 0; B < 7; B++) { while(inData >> num) inData >> num; numcount++; sum += num; if(num < low) low = num; if(num > high) high = num; average = sum / numcount; outData << num << '\t'; } outData << "High: " << high << " " << "Low: " << low << " " << "Sum: " << sum << " " << "Average: " << average << endl; } inData.close(); outData.close(); return(0); }

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  • July 2013 Release of the Ajax Control Toolkit

    - by Stephen.Walther
    I’m super excited to announce the July 2013 release of the Ajax Control Toolkit. You can download the new version of the Ajax Control Toolkit from CodePlex (http://ajaxControlToolkit.CodePlex.com) or install the Ajax Control Toolkit from NuGet: With this release, we have completely rewritten the way the Ajax Control Toolkit combines, minifies, gzips, and caches JavaScript files. The goal of this release was to improve the performance of the Ajax Control Toolkit and make it easier to create custom Ajax Control Toolkit controls. Improving Ajax Control Toolkit Performance Previous releases of the Ajax Control Toolkit optimized performance for a single page but not multiple pages. When you visited each page in an app, the Ajax Control Toolkit would combine all of the JavaScript files required by the controls in the page into a new JavaScript file. So, even if every page in your app used the exact same controls, visitors would need to download a new combined Ajax Control Toolkit JavaScript file for each page visited. Downloading new scripts for each page that you visit does not lead to good performance. In general, you want to make as few requests for JavaScript files as possible and take maximum advantage of caching. For most apps, you would get much better performance if you could specify all of the Ajax Control Toolkit controls that you need for your entire app and create a single JavaScript file which could be used across your entire app. What a great idea! Introducing Control Bundles With this release of the Ajax Control Toolkit, we introduce the concept of Control Bundles. You define a Control Bundle to indicate the set of Ajax Control Toolkit controls that you want to use in your app. You define Control Bundles in a file located in the root of your application named AjaxControlToolkit.config. For example, the following AjaxControlToolkit.config file defines two Control Bundles: <ajaxControlToolkit> <controlBundles> <controlBundle> <control name="CalendarExtender" /> <control name="ComboBox" /> </controlBundle> <controlBundle name="CalendarBundle"> <control name="CalendarExtender"></control> </controlBundle> </controlBundles> </ajaxControlToolkit> The first Control Bundle in the file above does not have a name. When a Control Bundle does not have a name then it becomes the default Control Bundle for your entire application. The default Control Bundle is used by the ToolkitScriptManager by default. For example, the default Control Bundle is used when you declare the ToolkitScriptManager like this:  <ajaxToolkit:ToolkitScriptManager runat=”server” /> The default Control Bundle defined in the file above includes all of the scripts required for the CalendarExtender and ComboBox controls. All of the scripts required for both of these controls are combined, minified, gzipped, and cached automatically. The AjaxControlToolkit.config file above also defines a second Control Bundle with the name CalendarBundle. Here’s how you would use the CalendarBundle with the ToolkitScriptManager: <ajaxToolkit:ToolkitScriptManager runat="server"> <ControlBundles> <ajaxToolkit:ControlBundle Name="CalendarBundle" /> </ControlBundles> </ajaxToolkit:ToolkitScriptManager> In this case, only the JavaScript files required by the CalendarExtender control, and not the ComboBox, would be downloaded because the CalendarBundle lists only the CalendarExtender control. You can use multiple named control bundles with the ToolkitScriptManager and you will get all of the scripts from both bundles. Support for ControlBundles is a new feature of the ToolkitScriptManager that we introduced with this release. We extended the ToolkitScriptManager to support the Control Bundles that you can define in the AjaxControlToolkit.config file. Let me be explicit about the rules for Control Bundles: 1. If you do not create an AjaxControlToolkit.config file then the ToolkitScriptManager will download all of the JavaScript files required for all of the controls in the Ajax Control Toolkit. This is the easy but low performance option. 2. If you create an AjaxControlToolkit.config file and create a ControlBundle without a name then the ToolkitScriptManager uses that Control Bundle by default. For example, if you plan to use only the CalendarExtender and ComboBox controls in your application then you should create a default bundle that lists only these two controls. 3. If you create an AjaxControlToolkit.config file and create one or more named Control Bundles then you can use these named Control Bundles with the ToolkitScriptManager. For example, you might want to use different subsets of the Ajax Control Toolkit controls in different sections of your app. I should also mention that you can use the AjaxControlToolkit.config file with custom Ajax Control Toolkit controls – new controls that you write. For example, here is how you would register a set of custom controls from an assembly named MyAssembly: <ajaxControlToolkit> <controlBundles> <controlBundle name="CustomBundle"> <control name="MyAssembly.MyControl1" assembly="MyAssembly" /> <control name="MyAssembly.MyControl2" assembly="MyAssembly" /> </controlBundle> </ajaxControlToolkit> What about ASP.NET Bundling and Minification? The idea of Control Bundles is similar to the idea of Script Bundles used in ASP.NET Bundling and Minification. You might be wondering why we didn’t simply use Script Bundles with the Ajax Control Toolkit. There were several reasons. First, ASP.NET Bundling does not work with scripts embedded in an assembly. Because all of the scripts used by the Ajax Control Toolkit are embedded in the AjaxControlToolkit.dll assembly, ASP.NET Bundling was not an option. Second, Web Forms developers typically think at the level of controls and not at the level of individual scripts. We believe that it makes more sense for a Web Forms developer to specify the controls that they need in an app (CalendarExtender, ToggleButton) instead of the individual scripts that they need in an app (the 15 or so scripts required by the CalenderExtender). Finally, ASP.NET Bundling does not work with older versions of ASP.NET. The Ajax Control Toolkit needs to support ASP.NET 3.5, ASP.NET 4.0, and ASP.NET 4.5. Therefore, using ASP.NET Bundling was not an option. There is nothing wrong with using Control Bundles and Script Bundles side-by-side. The ASP.NET 4.0 and 4.5 ToolkitScriptManager supports both approaches to bundling scripts. Using the AjaxControlToolkit.CombineScriptsHandler Browsers cache JavaScript files by URL. For example, if you request the exact same JavaScript file from two different URLs then the exact same JavaScript file must be downloaded twice. However, if you request the same JavaScript file from the same URL more than once then it only needs to be downloaded once. With this release of the Ajax Control Toolkit, we have introduced a new HTTP Handler named the AjaxControlToolkit.CombineScriptsHandler. If you register this handler in your web.config file then the Ajax Control Toolkit can cache your JavaScript files for up to one year in the future automatically. You should register the handler in two places in your web.config file: in the <httpHandlers> section and the <system.webServer> section (don’t forget to register the handler for the AjaxFileUpload while you are there!). <httpHandlers> <add verb="*" path="AjaxFileUploadHandler.axd" type="AjaxControlToolkit.AjaxFileUploadHandler, AjaxControlToolkit" /> <add verb="*" path="CombineScriptsHandler.axd" type="AjaxControlToolkit.CombineScriptsHandler, AjaxControlToolkit" /> </httpHandlers> <system.webServer> <validation validateIntegratedModeConfiguration="false" /> <handlers> <add name="AjaxFileUploadHandler" verb="*" path="AjaxFileUploadHandler.axd" type="AjaxControlToolkit.AjaxFileUploadHandler, AjaxControlToolkit" /> <add name="CombineScriptsHandler" verb="*" path="CombineScriptsHandler.axd" type="AjaxControlToolkit.CombineScriptsHandler, AjaxControlToolkit" /> </handlers> <system.webServer> The handler is only used in release mode and not in debug mode. You can enable release mode in your web.config file like this: <compilation debug=”false”> You also can override the web.config setting with the ToolkitScriptManager like this: <act:ToolkitScriptManager ScriptMode=”Release” runat=”server”/> In release mode, scripts are combined, minified, gzipped, and cached with a far future cache header automatically. When the handler is not registered, scripts are requested from the page that contains the ToolkitScriptManager: When the handler is registered in the web.config file, scripts are requested from the handler: If you want the best performance, always register the handler. That way, the Ajax Control Toolkit can cache the bundled scripts across page requests with a far future cache header. If you don’t register the handler then a new JavaScript file must be downloaded whenever you travel to a new page. Dynamic Bundling and Minification Previous releases of the Ajax Control Toolkit used a Visual Studio build task to minify the JavaScript files used by the Ajax Control Toolkit controls. The disadvantage of this approach to minification is that it made it difficult to create custom Ajax Control Toolkit controls. Starting with this release of the Ajax Control Toolkit, we support dynamic minification. The JavaScript files in the Ajax Control Toolkit are minified at runtime instead of at build time. Scripts are minified only when in release mode. You can specify release mode with the web.config file or with the ToolkitScriptManager ScriptMode property. Because of this change, the Ajax Control Toolkit now depends on the Ajax Minifier. You must include a reference to AjaxMin.dll in your Visual Studio project or you cannot take advantage of runtime minification. If you install the Ajax Control Toolkit from NuGet then AjaxMin.dll is added to your project as a NuGet dependency automatically. If you download the Ajax Control Toolkit from CodePlex then the AjaxMin.dll is included in the download. This change means that you no longer need to do anything special to create a custom Ajax Control Toolkit. As an open source project, we hope more people will contribute to the Ajax Control Toolkit (Yes, I am looking at you.) We have been working hard on making it much easier to create new custom controls. More on this subject with the next release of the Ajax Control Toolkit. A Single Visual Studio Solution We also made substantial changes to the Visual Studio solution and projects used by the Ajax Control Toolkit with this release. This change will matter to you only if you need to work directly with the Ajax Control Toolkit source code. In previous releases of the Ajax Control Toolkit, we maintained separate solution and project files for ASP.NET 3.5, ASP.NET 4.0, and ASP.NET 4.5. Starting with this release, we now support a single Visual Studio 2012 solution that takes advantage of multi-targeting to build ASP.NET 3.5, ASP.NET 4.0, and ASP.NET 4.5 versions of the toolkit. This change means that you need Visual Studio 2012 to open the Ajax Control Toolkit project downloaded from CodePlex. For details on how we setup multi-targeting, please see Budi Adiono’s blog post: http://www.budiadiono.com/2013/07/25/visual-studio-2012-multi-targeting-framework-project/ Summary You can take advantage of this release of the Ajax Control Toolkit to significantly improve the performance of your website. You need to do two things: 1) You need to create an AjaxControlToolkit.config file which lists the controls used in your app and 2) You need to register the AjaxControlToolkit.CombineScriptsHandler in the web.config file. We made substantial changes to the Ajax Control Toolkit with this release. We think these changes will result in much better performance for multipage apps and make the process of building custom controls much easier. As always, we look forward to hearing your feedback.

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  • SQL SERVER – Weekly Series – Memory Lane – #039

    - by Pinal Dave
    Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 FQL – Facebook Query Language Facebook list following advantages of FQL: Condensed XML reduces bandwidth and parsing costs. More complex requests can reduce the number of requests necessary. Provides a single consistent, unified interface for all of your data. It’s fun! UDF – Get the Day of the Week Function The day of the week can be retrieved in SQL Server by using the DatePart function. The value returned by the function is between 1 (Sunday) and 7 (Saturday). To convert this to a string representing the day of the week, use a CASE statement. UDF – Function to Get Previous And Next Work Day – Exclude Saturday and Sunday While reading ColdFusion blog of Ben Nadel Getting the Previous Day In ColdFusion, Excluding Saturday And Sunday, I realize that I use similar function on my SQL Server Database. This function excludes the Weekends (Saturday and Sunday), and it gets previous as well as next work day. Complete Series of SQL Server Interview Questions and Answers Data Warehousing Interview Questions and Answers – Introduction Data Warehousing Interview Questions and Answers – Part 1 Data Warehousing Interview Questions and Answers – Part 2 Data Warehousing Interview Questions and Answers – Part 3 Data Warehousing Interview Questions and Answers Complete List Download 2008 Introduction to Log Viewer In SQL Server all the windows event logs can be seen along with SQL Server logs. Interface for all the logs is same and can be launched from the same place. This log can be exported and filtered as well. DBCC SHRINKFILE Takes Long Time to Run If you are DBA who are involved with Database Maintenance and file group maintenance, you must have experience that many times DBCC SHRINKFILE operations takes a long time but any other operations with Database are relatively quicker. mssqlsystemresource – Resource Database The purpose of resource database is to facilitates upgrading to the new version of SQL Server without any hassle. In previous versions whenever version of SQL Server was upgraded all the previous version system objects needs to be dropped and new version system objects to be created. 2009 Puzzle – Write Script to Generate Primary Key and Foreign Key In SQL Server Management Studio (SSMS), there is no option to script all the keys. If one is required to script keys they will have to manually script each key one at a time. If database has many tables, generating one key at a time can be a very intricate task. I want to throw a question to all of you if any of you have scripts for the same purpose. Maximizing View of SQL Server Management Studio – Full Screen – New Screen I had explained the following two different methods: 1) Open Results in Separate Tab - This is a very interesting method as result pan shows up in a different tab instead of the splitting screen horizontally. 2) Open SSMS in Full Screen - This works always and to its best. Not many people are aware of this method; hence, very few people use it to enhance performance. 2010 Find Queries using Parallelism from Cached Plan T-SQL script gets all the queries and their execution plan where parallelism operations are kicked up. Pay attention there is TOP 10 is used, if you have lots of transactional operations, I suggest that you change TOP 10 to TOP 50 This is the list of the all the articles in the series of computed columns. SQL SERVER – Computed Column – PERSISTED and Storage This article talks about how computed columns are created and why they take more storage space than before. SQL SERVER – Computed Column – PERSISTED and Performance This article talks about how PERSISTED columns give better performance than non-persisted columns. SQL SERVER – Computed Column – PERSISTED and Performance – Part 2 This article talks about how non-persisted columns give better performance than PERSISTED columns. SQL SERVER – Computed Column and Performance – Part 3 This article talks about how Index improves the performance of Computed Columns. SQL SERVER – Computed Column – PERSISTED and Storage – Part 2 This article talks about how creating index on computed column does not grow the row length of table. SQL SERVER – Computed Columns – Index and Performance This article summarized all the articles related to computed columns. 2011 SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 21 of 31 What is Data Warehousing? What is Business Intelligence (BI)? What is a Dimension Table? What is Dimensional Modeling? What is a Fact Table? What are the Fundamental Stages of Data Warehousing? What are the Different Methods of Loading Dimension tables? Describes the Foreign Key Columns in Fact Table and Dimension Table? What is Data Mining? What is the Difference between a View and a Materialized View? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 22 of 31 What is OLTP? What is OLAP? What is the Difference between OLTP and OLAP? What is ODS? What is ER Diagram? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 23 of 31 What is ETL? What is VLDB? Is OLTP Database is Design Optimal for Data Warehouse? If denormalizing improves Data Warehouse Processes, then why is the Fact Table is in the Normal Form? What are Lookup Tables? What are Aggregate Tables? What is Real-Time Data-Warehousing? What are Conformed Dimensions? What is a Conformed Fact? How do you Load the Time Dimension? What is a Level of Granularity of a Fact Table? What are Non-Additive Facts? What is a Factless Facts Table? What are Slowly Changing Dimensions (SCD)? SQL SERVER – Interview Questions and Answers – Frequently Asked Questions – Data Warehousing Concepts – Day 24 of 31 What is Hybrid Slowly Changing Dimension? What is BUS Schema? What is a Star Schema? What Snow Flake Schema? Differences between the Star and Snowflake Schema? What is Difference between ER Modeling and Dimensional Modeling? What is Degenerate Dimension Table? Why is Data Modeling Important? What is a Surrogate Key? What is Junk Dimension? What is a Data Mart? What is the Difference between OLAP and Data Warehouse? What is a Cube and Linked Cube with Reference to Data Warehouse? What is Snapshot with Reference to Data Warehouse? What is Active Data Warehousing? What is the Difference between Data Warehousing and Business Intelligence? What is MDS? Explain the Paradigm of Bill Inmon and Ralph Kimball. SQL SERVER – Azure Interview Questions and Answers – Guest Post by Paras Doshi – Day 25 of 31 Paras Doshi has submitted 21 interesting question and answers for SQL Azure. 1.What is SQL Azure? 2.What is cloud computing? 3.How is SQL Azure different than SQL server? 4.How many replicas are maintained for each SQL Azure database? 5.How can we migrate from SQL server to SQL Azure? 6.Which tools are available to manage SQL Azure databases and servers? 7.Tell me something about security and SQL Azure. 8.What is SQL Azure Firewall? 9.What is the difference between web edition and business edition? 10.How do we synchronize On Premise SQL server with SQL Azure? 11.How do we Backup SQL Azure Data? 12.What is the current pricing model of SQL Azure? 13.What is the current limitation of the size of SQL Azure DB? 14.How do you handle datasets larger than 50 GB? 15.What happens when the SQL Azure database reaches Max Size? 16.How many databases can we create in a single server? 17.How many servers can we create in a single subscription? 18.How do you improve the performance of a SQL Azure Database? 19.What is code near application topology? 20.What were the latest updates to SQL Azure service? 21.When does a workload on SQL Azure get throttled? SQL SERVER – Interview Questions and Answers – Guest Post by Malathi Mahadevan – Day 26 of 31 Malachi had asked a simple question which has several answers. Each answer makes you think and ponder about the reality of the IT world. Look at the simple question – ‘What is the toughest challenge you have faced in your present job and how did you handle it’? and its various answers. Each answer has its own story. SQL SERVER – Interview Questions and Answers – Guest Post by Rick Morelan – Day 27 of 31 Rick Morelan of Joes2Pros has written an excellent blog post on the subject how to find top N values. Most people are fully aware of how the TOP keyword works with a SELECT statement. After years preparing so many students to pass the SQL Certification I noticed they were pretty well prepared for job interviews too. Yes, they would do well in the interview but not great. There seemed to be a few questions that would come up repeatedly for almost everyone. Rick addresses similar questions in his lucid writing skills. 2012 Observation of Top with Index and Order of Resultset SQL Server has lots of things to learn and share. It is amazing to see how people evaluate and understand different techniques and styles differently when implementing. The real reason may be absolutely different but we may blame something totally different for the incorrect results. Read the blog post to learn more. How do I Record Video and Webcast How to Convert Hex to Decimal or INT Earlier I asked regarding a question about how to convert Hex to Decimal. I promised that I will post an answer with Due Credit to the author but never got around to post a blog post around it. Read the original post over here SQL SERVER – Question – How to Convert Hex to Decimal. Query to Get Unique Distinct Data Based on Condition – Eliminate Duplicate Data from Resultset The natural reaction will be to suggest DISTINCT or GROUP BY. However, not all the questions can be solved by DISTINCT or GROUP BY. Let us see the following example, where a user wanted only latest records to be displayed. Let us see the example to understand further. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Cloud Computing = Elasticity * Availability

    - by Herve Roggero
    What is cloud computing? Is hosting the same thing as cloud computing? Are you running a cloud if you already use virtual machines? What is the difference between Infrastructure as a Service (IaaS) and a cloud provider? And the list goes on… these questions keep coming up and all try to fundamentally explain what “cloud” means relative to other concepts. At the risk of over simplification, answering these questions becomes simpler once you understand the primary foundations of cloud computing: Elasticity and Availability.   Elasticity The basic value proposition of cloud computing is to pay as you go, and to pay for what you use. This implies that an application can expand and contract on demand, across all its tiers (presentation layer, services, database, security…).  This also implies that application components can grow independently from each other. So if you need more storage for your database, you should be able to grow that tier without affecting, reconfiguring or changing the other tiers. Basically, cloud applications behave like a sponge; when you add water to a sponge, it grows in size; in the application world, the more customers you add, the more it grows. Pure IaaS providers will provide certain benefits, specifically in terms of operating costs, but an IaaS provider will not help you in making your applications elastic; neither will Virtual Machines. The smallest elasticity unit of an IaaS provider and a Virtual Machine environment is a server (physical or virtual). While adding servers in a datacenter helps in achieving scale, it is hardly enough. The application has yet to use this hardware.  If the process of adding computing resources is not transparent to the application, the application is not elastic.   As you can see from the above description, designing for the cloud is not about more servers; it is about designing an application for elasticity regardless of the underlying server farm.   Availability The fact of the matter is that making applications highly available is hard. It requires highly specialized tools and trained staff. On top of it, it's expensive. Many companies are required to run multiple data centers due to high availability requirements. In some organizations, some data centers are simply on standby, waiting to be used in a case of a failover. Other organizations are able to achieve a certain level of success with active/active data centers, in which all available data centers serve incoming user requests. While achieving high availability for services is relatively simple, establishing a highly available database farm is far more complex. In fact it is so complex that many companies establish yearly tests to validate failover procedures.   To a certain degree certain IaaS provides can assist with complex disaster recovery planning and setting up data centers that can achieve successful failover. However the burden is still on the corporation to manage and maintain such an environment, including regular hardware and software upgrades. Cloud computing on the other hand removes most of the disaster recovery requirements by hiding many of the underlying complexities.   Cloud Providers A cloud provider is an infrastructure provider offering additional tools to achieve application elasticity and availability that are not usually available on-premise. For example Microsoft Azure provides a simple configuration screen that makes it possible to run 1 or 100 web sites by clicking a button or two on a screen (simplifying provisioning), and soon SQL Azure will offer Data Federation to allow database sharding (which allows you to scale the database tier seamlessly and automatically). Other cloud providers offer certain features that are not available on-premise as well, such as the Amazon SC3 (Simple Storage Service) which gives you virtually unlimited storage capabilities for simple data stores, which is somewhat equivalent to the Microsoft Azure Table offering (offering a server-independent data storage model). Unlike IaaS providers, cloud providers give you the necessary tools to adopt elasticity as part of your application architecture.    Some cloud providers offer built-in high availability that get you out of the business of configuring clustered solutions, or running multiple data centers. Some cloud providers will give you more control (which puts some of that burden back on the customers' shoulder) and others will tend to make high availability totally transparent. For example, SQL Azure provides high availability automatically which would be very difficult to achieve (and very costly) on premise.   Keep in mind that each cloud provider has its strengths and weaknesses; some are better at achieving transparent scalability and server independence than others.    Not for Everyone Note however that it is up to you to leverage the elasticity capabilities of a cloud provider, as discussed previously; if you build a website that does not need to scale, for which elasticity is not important, then you can use a traditional host provider unless you also need high availability. Leveraging the technologies of cloud providers can be difficult and can become a journey for companies that build their solutions in a scale up fashion. Cloud computing promises to address cost containment and scalability of applications with built-in high availability. If your application does not need to scale or you do not need high availability, then cloud computing may not be for you. In fact, you may pay a premium to run your applications with cloud providers due to the underlying technologies built specifically for scalability and availability requirements. And as such, the cloud is not for everyone.   Consistent Customer Experience, Predictable Cost With all its complexities, buzz and foggy definition, cloud computing boils down to a simple objective: consistent customer experience at a predictable cost.  The objective of a cloud solution is to provide the same user experience to your last customer than the first, while keeping your operating costs directly proportional to the number of customers you have. Making your applications elastic and highly available across all its tiers, with as much automation as possible, achieves the first objective of a consistent customer experience. And the ability to expand and contract the infrastructure footprint of your application dynamically achieves the cost containment objectives.     Herve Roggero is a SQL Azure MVP and co-author of Pro SQL Azure (APress).  He is the co-founder of Blue Syntax Consulting (www.bluesyntax.net), a company focusing on cloud computing technologies helping customers understand and adopt cloud computing technologies. For more information contact herve at hroggero @ bluesyntax.net .

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  • The SPARC SuperCluster

    - by Karoly Vegh
    Oracle has been providing a lead in the Engineered Systems business for quite a while now, in accordance with the motto "Hardware and Software Engineered to Work Together." Indeed it is hard to find a better definition of these systems.  Allow me to summarize the idea. It is:  Build a compute platform optimized to run your technologies Develop application aware, intelligently caching storage components Take an impressively fast network technology interconnecting it with the compute nodes Tune the application to scale with the nodes to yet unseen performance Reduce the amount of data moving via compression Provide this all in a pre-integrated single product with a single-pane management interface All these ideas have been around in IT for quite some time now. The real Oracle advantage is adding the last one to put these all together. Oracle has built quite a portfolio of Engineered Systems, to run its technologies - and run those like they never ran before. In this post I'll focus on one of them that serves as a consolidation demigod, a multi-purpose engineered system.  As you probably have guessed, I am talking about the SPARC SuperCluster. It has many great features inherited from its predecessors, and it adds several new ones. Allow me to pick out and elaborate about some of the most interesting ones from a technological point of view.  I. It is the SPARC SuperCluster T4-4. That is, as compute nodes, it includes SPARC T4-4 servers that we learned to appreciate and respect for their features: The SPARC T4 CPUs: Each CPU has 8 cores, each core runs 8 threads. The SPARC T4-4 servers have 4 sockets. That is, a single compute node can in parallel, simultaneously  execute 256 threads. Now, a full-rack SPARC SuperCluster has 4 of these servers on board. Remember the keyword demigod.  While retaining the forerunner SPARC T3's exceptional throughput, the SPARC T4 CPUs raise the bar with single performance too - a humble 5x better one than their ancestors.  actually, the SPARC T4 CPU cores run in both single-threaded and multi-threaded mode, and switch between these two on-the-fly, fulfilling not only single-threaded OR multi-threaded applications' needs, but even mixed requirements (like in database workloads!). Data security, anyone? Every SPARC T4 CPU core has a built-in encryption engine, that is, encryption algorithms cast into silicon.  A PCI controller right on the chip for customers who need I/O performance.  Built-in, no-cost Virtualization:  Oracle VM for SPARC (the former LDoms or Logical Domains) is not a server-emulation virtualization technology but rather a serverpartitioning one, the hypervisor runs in the server firmware, and all the VMs' HW resources (I/O, CPU, memory) are accessed natively, without performance overhead.  This enables customers to run a number of Solaris 10 and Solaris 11 VMs separated, independent of each other within a physical server II. For Database performance, it includes Exadata Storage Cells - one of the main reasons why the Exadata Database Machine performs at diabolic speed. What makes them important? They provide DB backend storage for your Oracle Databases to run on the SPARC SuperCluster, that is what they are built and tuned for DB performance.  These storage cells are SQL-aware.  That is, if a SPARC T4 database compute node executes a query, it doesn't simply request tons of raw datablocks from the storage, filters the received data, and throws away most of it where the statement doesn't apply, but provides the SQL query to the storage node too. The storage cell software speaks SQL, that is, it is able to prefilter and through that transfer only the relevant data. With this, the traffic between database nodes and storage cells is reduced immensely. Less I/O is a good thing - as they say, all the CPUs of the world do one thing just as fast as any other - and that is waiting for I/O.  They don't only pre-filter, but also provide data preprocessing features - e.g. if a DB-node requests an aggregate of data, they can calculate it, and handover only the results, not the whole set. Again, less data to transfer.  They support the magical HCC, (Hybrid Columnar Compression). That is, data can be stored in a precompressed form on the storage. Less data to transfer.  Of course one can't simply rely on disks for performance, there is Flash Storage included there for caching.  III. The low latency, high-speed backbone network: InfiniBand, that interconnects all the members with: Real High Speed: 40 Gbit/s. Full Duplex, of course. Oh, and a really low latency.  RDMA. Remote Direct Memory Access. This technology allows the DB nodes to do exactly that. Remotely, directly placing SQL commands into the Memory of the storage cells. Dodging all the network-stack bottlenecks, avoiding overhead, placing requests directly into the process queue.  You can also run IP over InfiniBand if you please - that's the way the compute nodes can communicate with each other.  IV. Including a general-purpose storage too: the ZFSSA, which is a unified storage, providing NAS and SAN access too, with the following features:  NFS over RDMA over InfiniBand. Nothing is faster network-filesystem-wise.  All the ZFS features onboard, hybrid storage pools, compression, deduplication, snapshot, replication, NFS and CIFS shares Storageheads in a HA-Cluster configuration providing availability of the data  DTrace Live Analytics in a web-based Administration UI Being a general purpose application data storage for your non-database applications running on the SPARC SuperCluster over whichever protocol they prefer, easily replicating, snapshotting, cloning data for them.  There's a lot of great technology included in Oracle's SPARC SuperCluster, we have talked its interior through. As for external scalability: you can start with a half- of full- rack SPARC SuperCluster, and scale out to several racks - that is, stacking not separate full-rack SPARC SuperClusters, but extending always one large instance of the size of several full-racks. Yes, over InfiniBand network. Add racks as you grow.  What technologies shall run on it? SPARC SuperCluster is a general purpose scaleout consolidation/cloud environment. You can run Oracle Databases with RAC scaling, or Oracle Weblogic (end enjoy the SPARC T4's advantages to run Java). Remember, Oracle technologies have been integrated with the Oracle Engineered Systems - this is the Oracle on Oracle advantage. But you can run other software environments such as SAP if you please too. Run any application that runs on Oracle Solaris 10 or Solaris 11. Separate them in Virtual Machines, or even Oracle Solaris Zones, monitor and manage those from a central UI. Here the key takeaways once again: The SPARC SuperCluster: Is a pre-integrated Engineered System Contains SPARC T4-4 servers with built-in virtualization, cryptography, dynamic threading Contains the Exadata storage cells that intelligently offload the burden of the DB-nodes  Contains a highly available ZFS Storage Appliance, that provides SAN/NAS storage in a unified way Combines all these elements over a high-speed, low-latency backbone network implemented with InfiniBand Can grow from a single half-rack to several full-rack size Supports the consolidation of hundreds of applications To summarize: All these technologies are great by themselves, but the real value is like in every other Oracle Engineered System: Integration. All these technologies are tuned to perform together. Together they are way more than the sum of all - and a careful and actually very time consuming integration process is necessary to orchestrate all these for performance. The SPARC SuperCluster's goal is to enable infrastructure operations and offer a pre-integrated solution that can be architected and delivered in hours instead of months of evaluations and tests. The tedious and most importantly time and resource consuming part of the work - testing and evaluating - has been done.  Now go, provide services.   -- charlie  

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  • April Oracle Database Events

    - by Mandy Ho
    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:10.0pt; font-family:"Calibri","sans-serif";} April 17-18, 2012 – Moscow, Russia Oracle Develop Conference The Oracle database developer conference, Oracle Develop, will visit Moscow, Russia and Hyderabad, India this spring. Oracle Develop includes a database development track, which contains .NET sessions and hands-on lab led by an Oracle .NET product manager. Register today before the event fills up. http://www.oracle.com/javaone/ru-en/index.html 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:10.0pt; font-family:"Calibri","sans-serif";} April 24, 26 – San Diego, CA & San Jose, CA ISC2 Leadership Regional Event Series Oracle at (ISC)2 Security Leadership Series: Herding Clouds -- Managing Cloud Security Concerns and Expectations Join us for his interactive day-long session where industry leaders, including Oracle solution experts, will talk about how to: dispel the top Cloud security myths minimize "rogue Cloud" implementations identify potential compliance pitfalls and how to avoid them develop contract language for your cloud providers manage users across your fractured datacenter leverage existing technologies to protect data as it moves from the enterprise to the cloud http://www.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=146972&src=7239493&src=7239493&Act=228 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:10.0pt; font-family:"Calibri","sans-serif";} April 22-26, 2012 – Las Vegas, NV IOUG Collaborate 12 From April 22-26, 2012, Oracle takes Las Vegas. Thousands of Oracle professionals will descend upon the Mandalay Bay Convention Center for a weeks worth of education sessions, networking opportunities and more, at the only user-driven and user-run Oracle conference - COLLABORATE 12.  Your COLLABORATE 12 - IOUG Forum registration comes complete with a bonus- a full day Deep Dive education program on Sunday! Choose from numerous hot topics, including Real World Performance, High Availability and more, presented by legendary and seasoned Oracle pros, including Tom Kyte and Craig Shallahamer. http://www.oracle.com/webapps/events/ns/EventsDetail.jsp?p_eventId=143637&src=7360364&src=7360364&Act=5 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:10.0pt; font-family:"Calibri","sans-serif";} Independent Oracle User Group (IOUG) Regional Events: April 16, 2012 – Columbus, Ohio Ohio Oracle Users Group Higher Performance PL/PQL and Oracle Database 11g PL/SQL New Features – Featuring Steven Feuerstein http://www.ooug.org/ 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:10.0pt; font-family:"Calibri","sans-serif";} 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:10.0pt; font-family:"Calibri","sans-serif";} April 26, 2012- Irving, TX Dallas Oracle Users Group Oracle Database Forum: 5-7PM Oracle Corporation, 6031 Connection Drive Irving, TX http://memberservices.membee.com/538/irmevents.aspx?id=64 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:10.0pt; font-family:"Calibri","sans-serif";} Apr 30, 2012- Los Angeles, CA Real World Performance Tour A full day of real world database performance with: Tom Kyte, author of the ever popular AskTom Blog, Andrew Holdsworth, head of Oracle's Real World Performance Team, and Graham Wood, renowned Oracle Database performance architect. Through discussion, debate and demos, they’ll show you how to master performance engineering topics like: Best practices for designing hardware architectures and how to spot and fix bad design. How to develop applications that deliver the fastest possible performance without sacrificing accuracy.  New for 2012! Updates on Enterprise Manager, Exadata, and what these technologies mean to your current systems. http://www.ioug.org/Events/ADayofRealWorldPerformance/tabid/194/Default.aspx

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  • Expectations + Rewards = Innovation

    - by D'Arcy Lussier
    “Innovation” is a heavy word. We regard those that embrace it as “Innovators”. We describe organizations as being “Innovative”. We hold those associated with the word in high regard, even though its dictionary definition is very simple: Introducing something new. What our culture has done is wrapped Innovation in white robes and a gold crown. Innovation is rarely just introducing something new. Innovations and innovators are typically associated with other terms: groundbreaking, genius, industry-changing, creative, leading. Being a true innovator and creating innovations are a big deal, and something companies try to strive for…or at least say they strive for. There’s huge value in being recognized as an innovator in an industry, since the idea is that innovation equates to increased profitability. IBM ran an ad a few years back that showed what their view of innovation is: “The point of innovation is to make actual money.” If the money aspect makes you feel uneasy, consider it another way: the point of innovation is to <insert payoff here>. Companies that innovate will be more successful. Non-profits that innovate can better serve their target clients. Governments that innovate can better provide services to their citizens. True innovation is not easy to come by though. As with anything in business, how well an organization will innovate is reliant on the employees it retains, the expectations placed on those employees, and the rewards available to them. In a previous blog post I talked about one formula: Right Employees + Happy Employees = Productive Employees I want to introduce a new one, that builds upon the previous one: Expectations + Rewards = Innovation  The level of innovation your organization will realize is directly associated with the expectations you place on your staff and the rewards you make available to them. Expectations We may feel uncomfortable with the idea of placing expectations on our staff, mainly because expectation has somewhat of a negative or cold connotation to it: “I expect you to act this way or else!” The problem is in the or-else part…we focus on the negative aspects of failing to meet expectations instead of looking at the positive side. “I expect you to act this way because it will produce <insert benefit here>”. Expectations should not be set to punish but instead be set to ensure quality. At a recent conference I spoke with some Microsoft employees who told me that you have five years from starting with the company to reach a “Senior” level. If you don’t, then you’re let go. The expectation Microsoft placed on their staff is that they should be working towards improving themselves, taking more responsibility, and thus ensure that there is a constant level of quality in the workforce. Rewards Let me be clear: a paycheck is not a reward. A paycheck is simply the employer’s responsibility in the employee/employer relationship. A paycheck will never be the key motivator to drive innovation. Offering employees something over and above their required compensation can spur them to greater performance and achievement. Working in the food service industry, this tactic was used again and again: whoever has the highest sales over lunch will receive a free lunch/gift certificate/entry into a draw/etc. There was something to strive for, to try beyond the baseline of what our serving jobs were. It was through this that innovative sales techniques would be tried and honed, with key servers being top sellers time and time again. At a code camp I spoke at, I was amazed to see that all the employees from one company receive $100 Visa gift cards as a thank you for taking time to speak. Again, offering something over and above that can give that extra push for employees. Rewards work. But what about the fairness angle? In the restaurant example I gave, there were servers that would never win the competition. They just weren’t good enough at selling and never seemed to get better. So should those that did work at performing better and produce more sales for the restaurant not get rewarded because those who weren’t working at performing better might get upset? Of course not! Organizations succeed because of their top performers and those that strive to join their ranks. The Expectation/Reward Graph While the Expectations + Rewards = Innovation formula may seem like a simple mathematics formula, there’s much more going under the hood. In fact there are three different outcomes that could occur based on what you put in as values for Expectations and Rewards. Consider the graph below and the descriptions that follow: Disgruntled – High Expectation, Low Reward I worked at a company where the mantra was “Company First, Because We Pay You”. Even today I still hear stories of how this sentiment continues to be perpetuated: They provide you a paycheck and a means to live, therefore you should always put them as your top priority. Of course, this is a huge imbalance in the expectation/reward equation. Why would anyone willingly meet high expectations of availability, workload, deadlines, etc. when there is no reward other than a paycheck to show for it? Remember: paychecks are not rewards! Instead, you see employees be disgruntled which not only affects the level of production but also the level of quality within an organization. It also means that you see higher turnover. Complacent – Low Expectation, Low Reward Complacency is a systemic problem that typically exists throughout all levels of an organization. With no real expectations or rewards, nobody needs to excel. In fact, those that do try to innovate, improve, or introduce new things into the organization might be shunned or pushed out by the rest of the staff who are just doing things the same way they’ve always done it. The bigger issue for the organization with low/low values is that at best they’ll never grow beyond their current size (and may shrink actually), and at worst will cease to exist. Entitled – Low Expectation, High Reward It’s one thing to say you have the best people and reward them as such, but its another thing to actually have the best people and reward them as such. Organizations with Entitled employees are the former: their organization provides them with all types of comforts, benefits, and perks. But there’s no requirement before the rewards are dolled out, and there’s no short-list of who receives the rewards. Everyone in the company is treated the same and is given equal share of the spoils. Entitlement is actually almost identical with Complacency with one notable difference: just try to introduce higher expectations into an entitled organization! Entitled employees have been spoiled for so long that they can’t fathom having rewards taken from them, or having to achieve specific levels of performance before attaining them. Those running the organization also buy in to the Entitled sentiment, feeling that they must persist the same level of comforts to appease their staff…even though the quality of the employee pool may be suspect. Innovative – High Expectation, High Reward Finally we have the Innovative organization which places high expectations but also provides high rewards. This organization gets it: if you truly want the best employees you need to apply equal doses of pressure and praise. Realize that I’m not suggesting crazy overtime or un-realistic working conditions. I do not agree with the “Glengary-Glenross” method of encouragement. But as anyone who follows sports can tell you, the teams that win are the ones where the coaches push their players to be their best; to achieve new levels of performance that they didn’t know they could receive. And the result for the players is more money, fame, and opportunity. It’s in this environment that organizations can focus on innovation – true innovation that builds the business and allows everyone involved to truly benefit. In Closing Organizations love to use the word “Innovation” and its derivatives, but very few actually do innovate. For many, the term has just become another marketing buzzword to lump in with all the other business terms that get overused. But for those organizations that truly get the value of innovation, they will be the ones surging forward while other companies simply fade into the background. And they will be the organizations that expect more from their employees, and give them their just rewards.

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  • ruby on rails configuration

    - by Themasterhimself
    Im using the following guide for getting started with rails for ubuntu 9.10. http://guides.rails.info/getting_started.html I have installed both ruby and gem. gokul@gokul-laptop:~$ ruby -v ruby 1.8.7 (2009-06-12 patchlevel 174) [i486-linux] gokul@gokul-laptop:~$ gem -v 1.3.6 gokul@gokul-laptop:~$ For rails, gokul@gokul-laptop:~$sudo gem install rails doesnt seem to give any response. so used the synaptic package manager for installing it. And it seems to have installed correctly. gokul@gokul-laptop:~$ rails Usage: /usr/bin/rails /path/to/your/app [options] Options: -r, --ruby=path Path to the Ruby binary of your choice (otherwise scripts use env, dispatchers current path). Default: /usr/bin/ruby1.8 -d, --database=name Preconfigure for selected database (options: mysql/oracle/postgresql/sqlite2/sqlite3/frontbase/ibm_db). Default: sqlite3 -D, --with-dispatchers Add CGI/FastCGI/mod_ruby dispatches code to generated application skeleton Default: false --freeze Freeze Rails in vendor/rails from the gems generating the skeleton Default: false -m, --template=path Use an application template that lives at path (can be a filesystem path or URL). Default: (none) Rails Info: -v, --version Show the Rails version number and quit. -h, --help Show this help message and quit. General Options: -p, --pretend Run but do not make any changes. -f, --force Overwrite files that already exist. -s, --skip Skip files that already exist. -q, --quiet Suppress normal output. -t, --backtrace Debugging: show backtrace on errors. -c, --svn Modify files with subversion. (Note: svn must be in path) -g, --git Modify files with git. (Note: git must be in path) Description: The 'rails' command creates a new Rails application with a default directory structure and configuration at the path you specify. Example: rails ~/Code/Ruby/weblog This generates a skeletal Rails installation in ~/Code/Ruby/weblog. See the README in the newly created application to get going. gokul@gokul-laptop:~$ app folder is created with all the proper folders. The problem starts with the following commands... gokul@gokul-laptop:~$ sudo gem install bundler [sudo] password for gokul: Successfully installed bundler-0.9.24 1 gem installed Installing ri documentation for bundler-0.9.24... Installing RDoc documentation for bundler-0.9.24... gokul@gokul-laptop:~$ bundle install Could not locate Gemfile gokul@gokul-laptop:~$ coming to the database, the default sqlite3 seems to have installed correctly. gokul@gokul-laptop:~$ sqlite3 SQLite version 3.6.16 Enter ".help" for instructions Enter SQL statements terminated with a ";" sqlite The welcome aboard page is not being able to be found at (http://localhost:3000) after executing the following commands... gokul@gokul-laptop:~/Desktop$ rails blog create create app/controllers create app/helpers create app/models create app/views/layouts create config/environments create config/initializers create config/locales create db create doc create lib create lib/tasks create log create public/images create public/javascripts create public/stylesheets create script/performance create test/fixtures create test/functional create test/integration create test/performance create test/unit create vendor create vendor/plugins create tmp/sessions create tmp/sockets create tmp/cache create tmp/pids create Rakefile create README create app/controllers/application_controller.rb create app/helpers/application_helper.rb create config/database.yml create config/routes.rb create config/locales/en.yml create db/seeds.rb create config/initializers/backtrace_silencers.rb create config/initializers/inflections.rb create config/initializers/mime_types.rb create config/initializers/new_rails_defaults.rb create config/initializers/session_store.rb create config/environment.rb create config/boot.rb create config/environments/production.rb create config/environments/development.rb create config/environments/test.rb create script/about create script/console create script/dbconsole create script/destroy create script/generate create script/runner create script/server create script/plugin create script/performance/benchmarker create script/performance/profiler create test/test_helper.rb create test/performance/browsing_test.rb create public/404.html create public/422.html create public/500.html create public/index.html create public/favicon.ico create public/robots.txt create public/images/rails.png create public/javascripts/prototype.js create public/javascripts/effects.js create public/javascripts/dragdrop.js create public/javascripts/controls.js create public/javascripts/application.js create doc/README_FOR_APP create log/server.log create log/production.log create log/development.log create log/test.log gokul@gokul-laptop:~/Desktop$ cd blog gokul@gokul-laptop:~/Desktop/blog$ rake db:create (in /home/gokul/Desktop/blog) gokul@gokul-laptop:~/Desktop/blog$ rails server create create app/controllers create app/helpers create app/models create app/views/layouts create config/environments create config/initializers create config/locales create db create doc create lib create lib/tasks create log create public/images create public/javascripts create public/stylesheets create script/performance create test/fixtures create test/functional create test/integration create test/performance create test/unit create vendor create vendor/plugins create tmp/sessions create tmp/sockets create tmp/cache create tmp/pids create Rakefile create README create app/controllers/application_controller.rb create app/helpers/application_helper.rb create config/database.yml create config/routes.rb create config/locales/en.yml create db/seeds.rb create config/initializers/backtrace_silencers.rb create config/initializers/inflections.rb create config/initializers/mime_types.rb create config/initializers/new_rails_defaults.rb create config/initializers/session_store.rb create config/environment.rb create config/boot.rb create config/environments/production.rb create config/environments/development.rb create config/environments/test.rb create script/about create script/console create script/dbconsole create script/destroy create script/generate create script/runner create script/server create script/plugin create script/performance/benchmarker create script/performance/profiler create test/test_helper.rb create test/performance/browsing_test.rb create public/404.html create public/422.html create public/500.html create public/index.html create public/favicon.ico create public/robots.txt create public/images/rails.png create public/javascripts/prototype.js create public/javascripts/effects.js create public/javascripts/dragdrop.js create public/javascripts/controls.js create public/javascripts/application.js create doc/README_FOR_APP create log/server.log create log/production.log create log/development.log create log/test.log gokul@gokul-laptop:~/Desktop/blog$ hope some one can help me with this...

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  • Auto DOP and Concurrency

    - by jean-pierre.dijcks
    After spending some time in the cloud, I figured it is time to come down to earth and start discussing some of the new Auto DOP features some more. As Database Machines (the v2 machine runs Oracle Database 11.2) are effectively selling like hotcakes, it makes some sense to talk about the new parallel features in more detail. For basic understanding make sure you have read the initial post. The focus there is on Auto DOP and queuing, which is to some extend the focus here. But now I want to discuss the concurrency a little and explain some of the relevant parameters and their impact, specifically in a situation with concurrency on the system. The goal of Auto DOP The idea behind calculating the Automatic Degree of Parallelism is to find the highest possible DOP (ideal DOP) that still scales. In other words, if we were to increase the DOP even more  above a certain DOP we would see a tailing off of the performance curve and the resource cost / performance would become less optimal. Therefore the ideal DOP is the best resource/performance point for that statement. The goal of Queuing On a normal production system we should see statements running concurrently. On a Database Machine we typically see high concurrency rates, so we need to find a way to deal with both high DOP’s and high concurrency. Queuing is intended to make sure we Don’t throttle down a DOP because other statements are running on the system Stay within the physical limits of a system’s processing power Instead of making statements go at a lower DOP we queue them to make sure they will get all the resources they want to run efficiently without trashing the system. The theory – and hopefully – practice is that by giving a statement the optimal DOP the sum of all statements runs faster with queuing than without queuing. Increasing the Number of Potential Parallel Statements To determine how many statements we will consider running in parallel a single parameter should be looked at. That parameter is called PARALLEL_MIN_TIME_THRESHOLD. The default value is set to 10 seconds. So far there is nothing new here…, but do realize that anything serial (e.g. that stays under the threshold) goes straight into processing as is not considered in the rest of this post. Now, if you have a system where you have two groups of queries, serial short running and potentially parallel long running ones, you may want to worry only about the long running ones with this parallel statement threshold. As an example, lets assume the short running stuff runs on average between 1 and 15 seconds in serial (and the business is quite happy with that). The long running stuff is in the realm of 1 – 5 minutes. It might be a good choice to set the threshold to somewhere north of 30 seconds. That way the short running queries all run serial as they do today (if it ain’t broken, don’t fix it) and allows the long running ones to be evaluated for (higher degrees of) parallelism. This makes sense because the longer running ones are (at least in theory) more interesting to unleash a parallel processing model on and the benefits of running these in parallel are much more significant (again, that is mostly the case). Setting a Maximum DOP for a Statement Now that you know how to control how many of your statements are considered to run in parallel, lets talk about the specific degree of any given statement that will be evaluated. As the initial post describes this is controlled by PARALLEL_DEGREE_LIMIT. This parameter controls the degree on the entire cluster and by default it is CPU (meaning it equals Default DOP). For the sake of an example, let’s say our Default DOP is 32. Looking at our 5 minute queries from the previous paragraph, the limit to 32 means that none of the statements that are evaluated for Auto DOP ever runs at more than DOP of 32. Concurrently Running a High DOP A basic assumption about running high DOP statements at high concurrency is that you at some point in time (and this is true on any parallel processing platform!) will run into a resource limitation. And yes, you can then buy more hardware (e.g. expand the Database Machine in Oracle’s case), but that is not the point of this post… The goal is to find a balance between the highest possible DOP for each statement and the number of statements running concurrently, but with an emphasis on running each statement at that highest efficiency DOP. The PARALLEL_SERVER_TARGET parameter is the all important concurrency slider here. Setting this parameter to a higher number means more statements get to run at their maximum parallel degree before queuing kicks in.  PARALLEL_SERVER_TARGET is set per instance (so needs to be set to the same value on all 8 nodes in a full rack Database Machine). Just as a side note, this parameter is set in processes, not in DOP, which equates to 4* Default DOP (2 processes for a DOP, default value is 2 * Default DOP, hence a default of 4 * Default DOP). Let’s say we have PARALLEL_SERVER_TARGET set to 128. With our limit set to 32 (the default) we are able to run 4 statements concurrently at the highest DOP possible on this system before we start queuing. If these 4 statements are running, any next statement will be queued. To run a system at high concurrency the PARALLEL_SERVER_TARGET should be raised from its default to be much closer (start with 60% or so) to PARALLEL_MAX_SERVERS. By using both PARALLEL_SERVER_TARGET and PARALLEL_DEGREE_LIMIT you can control easily how many statements run concurrently at good DOPs without excessive queuing. Because each workload is a little different, it makes sense to plan ahead and look at these parameters and set these based on your requirements.

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  • Oracle Delivers Latest Release of Oracle Enterprise Manager 12c

    - by Scott McNeil
    Richer Service Catalog for Database and Middleware as a Service; Enhanced Database and Middleware Management Help Drive Enterprise-Scale Private Cloud Adoption News Summary IT organizations are adopting private clouds as a stepping-stone to business-driven, self-service IT. Successful implementations hinge on the ability to efficiently deploy and manage cloud services at enterprise scale. Having a complete cloud management solution integrated with an enterprise-class technology stack is a fundamental requirement for IT. Oracle Enterprise Manager 12c Release 4 meets that requirement by helping businesses become more agile and responsive, while reducing cost, complexity, and risk. News Facts Oracle Enterprise Manager 12c Release 4, available today, lets organizations rapidly adopt Oracle-based, enterprise-scale private clouds. New capabilities provide advanced technology stack management, secure database administration, and enterprise service governance, enabling Oracle customers and partners to maximize database and application performance and drive innovation using self-service IT platforms. The enhancements have been driven by customers and the growing Oracle Enterprise Manager Ecosystem, comprised of more than 750 Oracle PartnerNetwork (OPN) Specialized partners. Oracle and its partners and customers have built over 140 plug-ins and connectors for Oracle Enterprise Manager. Watch the video highlights. Automation for Broader Cloud Services Oracle Enterprise Manager 12c Release 4 allows for a rapid enterprise-wide adoption of database, middleware and infrastructure services in the private cloud, driven by an enhanced API-enabled service catalog. The release features “push button” style provisioning of complete environments such as SOA and Oracle Active Data Guard, and fast data cloning that enables rapid deployment and testing of enterprise applications. Out-of-the-box capabilities to detect data and configuration vulnerabilities provide enhanced cloud service governance along with greater operational control through a flexible and extensible showback mechanism. Enhanced Database Management A new performance warehouse enables predictive database diagnostics and trend analysis and helps identify database problems before they occur. New enterprise data-governance capabilities enhance security by helping systematically discover and protect sensitive data. Step-by-step orchestration of upgrades with the ability to rollback changes enables faster adoption of Oracle Database 12c. Expanded Fusion Middleware Management A new consolidated view of Oracle Fusion Middleware 12c deployments with a guided management capability lets administrators apply best management practices to diverse middleware environments and identify performance issues quickly. A Java VM Diagnostics as a Service feature allows governed access to diagnostics data for IT workers across multiple disciplines for accelerated DevOps resolutions of defects and performance optimization. New automated provisioning for SOA lets middleware administrators perform mass SOA provisioning with ease. Superior Enterprise-Grade Management Private roles and preferred credentials have been added to Oracle Enterprise Manager to provide additional fine-grained security for organizations with complex access control requirements. A new security console provides a single point of control for managing the security of Oracle Enterprise Manager environments. Support for the latest industry standard SNMP v3 protocol, including encryption, enables more secure heterogeneous management. “Smart monitoring” adapts to observed environmental changes and adds self-management capabilities to help Oracle Enterprise Manager run at peak performance, while demanding less IT supervision. Supporting Quotes “Lawrence Livermore National Laboratory has a strong tradition of technology breakthroughs and leadership. As a member of Oracle’s Customer Advisory Board for Oracle Enterprise Manager, we have consistently provided feedback and guidance in the areas of enterprise-scale cloud, self-diagnosability, and secure administration for the product,” said Tim Frazier, CIO, NIF and Photon Sciences, Lawrence Livermore National Laboratory. “We intend to take advantage of the Release 4 features that support enterprise-scale availability and fine-grained security capabilities for private cloud deployments.” “IDC's most recent CloudTrack survey shows that most enterprises plan to adopt hybrid cloud architectures over the next three years,” said Mary Johnston Turner, Research Vice President, Enterprise System Management Software, IDC. “These organizations plan to deploy a wide range of workloads into cloud environments including mission critical database and middleware services that require high levels of fault tolerance and disaster recovery. Such capabilities were traditionally custom configured for each application but cloud offers the possibility to incorporate such properties within the service definition, enabling organizations to adopt cloud without compromise. With the latest release of Oracle Enterprise Manager 12c, Oracle is providing customers with an out-of-the-box experience for delivering highly-resilient cloud services for databases and applications.” “Since its inception, Oracle has been leading the way in innovative, scalable and high performance solutions for the enterprise. With this release of Oracle Enterprise Manager, we are extending this leadership by providing enterprise-scale capabilities for planning, delivering, and managing private clouds. We call this ‘zero-to-cloud – accelerated.’ These enhancements help our customers to expedite their adoption of cloud computing and prepares them for the next generation of self-service IT,” said Prakash Ramamurthy, senior vice president of Systems and Cloud Management at Oracle. Supporting Resources Oracle Enterprise Manager 12c Video: Cerner Delivers High Performance Private Cloud Video: BIAS Achieves Outstanding Results with Private Cloud Press Release Stay Connected: Twitter | Facebook | YouTube | Linkedin | Newsletter Download the Oracle Enterprise Manager 12c Mobile app

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  • a question on common lisp

    - by kostas
    Hello people, I'm getting crazy with a small problem here, I keep getting an error and I cant seem to figure out why, the code is supposed to change the range of a list, so if we give it a list with values (1 2 3 4) and we want to change the range in 11 to fourteen the result would be (11 12 13 14) the problem is that the last function called scale-list will give back an error saying: Debugger entered--Lisp error: (wrong-type-argument number-or-marker-p nil) anybody has a clue why? I use aquamacs as an editor thanks in advance ;;finds minimum in a list (defun minimum(list) (car (sort list #'<))) ;;finds maximum in a list (defun maximum(list) (car (sort list #'>))) ;;calculates the range of a list (defun range(list) (- (maximum list) (minimum list))) ;;this codes scales a value from a list (defun scale-value(list low high n) (+ (/ (* (- (nth (- n 1) list) (minimum list)) (- high low)) (range list)) low)) ;and this code is supposed to scale the whole list (defun scale-list(list low high n) (unless (= n 0) (cons (scale-value list low high n) (scale-list list low high (- n 1))))) (scale-list '(0.1 0.3 0.5 0.9) 20 30 4)

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  • In Social Relationship Management, the Spirit is Willing, but Execution is Weak

    - by Mike Stiles
    In our final talk in this series with Aberdeen’s Trip Kucera, we wanted to find out if enterprise organizations are actually doing anything about what they’re learning around the importance of communicating via social and using social listening for a deeper understanding of customers and prospects. We found out that if your brand is lagging behind, you’re not alone. Spotlight: How was Aberdeen able to find out if companies are putting their money where their mouth is when it comes to implementing social across the enterprise? Trip: One way to think about the relative challenges a business has in a given area is to look at the gap between “say” and “do.” The first of those words reveals the brand’s priorities, while the second reveals their ability to execute on those priorities. In Aberdeen’s research, we capture this by asking firms to rank the value of a set of activities from one on the low end to five on the high end. We then ask them to rank their ability to execute those same activities, again on a one to five, not effective to highly effective scale. Spotlight: And once you get their self-assessments, what is it you’re looking for? Trip: There are two things we’re looking for in this analysis. The first is we want to be able to identify the widest gaps between perception of value and execution. This suggests impediments to adoption or simply a high level of challenge, be it technical or otherwise. It may also suggest areas where we can expect future investment and innovation. Spotlight: So the biggest potential pain points surface, places where they know something is critical but also know they aren’t doing much about it. What’s the second thing you look for? Trip: The second thing we want to do is look at specific areas in which high-performing companies, the Leaders, are out-executing the Followers. This points to the business impact of these activities since Leaders are defined by a set of business performance metrics. Put another way, we’re correlating adoption of specific business competencies with performance, looking for what high-performers do differently. Spotlight: Ah ha, that tells us what steps the winners are taking that are making them winners. So what did you find out? Trip: Generally speaking, we see something of a glass curtain when it comes to the social relationship management execution gap. There isn’t a single social media activity in which more than 50% of respondents indicated effectiveness, which would be a 4 or 5 on that 1-5 scale. This despite the fact that 70% of firms indicate that generating positive social media mentions is valuable or very valuable, a 4 or 5 on our 1-5 scale. Spotlight: Well at least they get points for being honest. The verdict they’re giving themselves is that they just aren’t cutting it in these highly critical social development areas. Trip: And the widest gap is around directly engaging with customers and/or prospects on social networks, which 69% of firms rated as valuable but only 34% of companies say they are executing well. Perhaps even more interesting is that these two are interdependent since you’re most likely to generate goodwill on social through happy, engaged customers. This data also suggests that social is largely being used as a broadcast channel rather than for one-to-one engagement. As we’ve discussed previously, social is an inherently personal media. Spotlight: And if they’re still using it as a broadcast channel, that shows they still fail to understand the root of social and see it as just another outlet for their ads and push-messaging. That’s depressing. Trip: A second way to evaluate this data is by using Aberdeen’s performance benchmarking. The story is both a bit different, but consistent in its own way. The first thing we notice is that Leaders are more effective in their execution of several key social relationship management capabilities, namely generating positive mentions and engaging with “influencers” and customers. Based on the fact that Aberdeen uses a broad set of performance metrics to rank the respondents as either “Leaders” (top 35% in weighted performance) or “Followers” (bottom 65% in weighted performance), from website conversion to annual revenue growth, we can then correlated high social effectiveness with company performance. We can also connect the specific social capabilities used by Leaders with effectiveness. We spoke about a few of those key capabilities last time and also discuss them in a new report: Social Powers Activate: Engineering Social Engagement to Win the Hidden Sales Cycle. Spotlight: What all that tells me is there are rewards for making the effort and getting it right. That’s how you become a Leader. Trip: But there’s another part of the story, which is that overall effectiveness, even among Leaders, is muted. There’s just one activity in which more than a majority of Leaders cite high effectiveness, effectiveness being the generation of positive buzz. While 80% of Leaders indicate “directly engaging with customers” through social media channels is valuable, the highest rated activity among Leaders, only 42% say they’re effective. This gap even among Leaders shows the challenges still involved in effective social relationship management. @mikestilesPhoto: stock.xchng

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  • Unexpected advantage of Engineered Systems

    - by user12244672
    It's not surprising that Engineered Systems accelerate the debugging and resolution of customer issues. But what has surprised me is just how much faster issue resolution is with Engineered Systems such as SPARC SuperCluster. These are powerful, complex, systems used by customers wanting extreme database performance, app performance, and cost saving server consolidation. A SPARC SuperCluster consists or 2 or 4 powerful T4-4 compute nodes, 3 or 6 extreme performance Exadata Storage Cells, a ZFS Storage Appliance 7320 for general purpose storage, and ultra fast Infiniband switches.  Each with its own firmware. It runs Solaris 11, Solaris 10, 11gR2, LDoms virtualization, and Zones virtualization on the T4-4 compute nodes, a modified version of Solaris 11 in the ZFS Storage Appliance, a modified and highly tuned version of Oracle Linux running Exadata software on the Storage Cells, another Linux derivative in the Infiniband switches, etc. It has an Infiniband data network between the components, a 10Gb data network to the outside world, and a 1Gb management network. And customers can run whatever middleware and apps they want on it, clustered in whatever way they want. In one word, powerful.  In another, complex. The system is highly Engineered.  But it's designed to run general purpose applications. That is, the physical components, configuration, cabling, virtualization technologies, switches, firmware, Operating System versions, network protocols, tunables, etc. are all preset for optimum performance and robustness. That improves the customer experience as what the customer runs leverages our technical know-how and best practices and is what we've tested intensely within Oracle. It should also make debugging easier by fixing a large number of variables which would otherwise be in play if a customer or Systems Integrator had assembled such a complex system themselves from the constituent components.  For example, there's myriad network protocols which could be used with Infiniband.  Myriad ways the components could be interconnected, myriad tunable settings, etc. But what has really surprised me - and I've been working in this area for 15 years now - is just how much easier and faster Engineered Systems have made debugging and issue resolution. All those error opportunities for sub-optimal cabling, unusual network protocols, sub-optimal deployment of virtualization technologies, issues with 3rd party storage, issues with 3rd party multi-pathing products, etc., are simply taken out of the equation. All those error opportunities for making an issue unique to a particular set-up, the "why aren't we seeing this on any other system ?" type questions, the doubts, just go away when we or a customer discover an issue on an Engineered System. It enables a really honed response, getting to the root cause much, much faster than would otherwise be the case. Here's a couple of examples from the last month, one found in-house by my team, one found by a customer: Example 1: We found a node eviction issue running 11gR2 with Solaris 11 SRU 12 under extreme load on what we call our ExaLego test system (mimics an Exadata / SuperCluster 11gR2 Exadata Storage Cell set-up).  We quickly established that an enhancement in SRU12 enabled an 11gR2 process to query Infiniband's Subnet Manager, replacing a fallback mechanism it had used previously.  Under abnormally heavy load, the query could return results which were misinterpreted resulting in node eviction.  In several daily joint debugging sessions between the Solaris, Infiniband, and 11gR2 teams, the issue was fully root caused, evaluated, and a fix agreed upon.  That fix went back into all Solaris releases the following Monday.  From initial issue discovery to the fix being put back into all Solaris releases was just 10 days. Example 2: A customer reported sporadic performance degradation.  The reasons were unclear and the information sparse.  The SPARC SuperCluster Engineered Systems support teams which comprises both SPARC/Solaris and Database/Exadata experts worked to root cause the issue.  A number of contributing factors were discovered, including tunable parameters.  An intense collaborative investigation between the engineering teams identified the root cause to a CPU bound networking thread which was being starved of CPU cycles under extreme load.  Workarounds were identified.  Modifications have been put back into 11gR2 to alleviate the issue and a development project already underway within Solaris has been sped up to provide the final resolution on the Solaris side.  The fixed SPARC SuperCluster configuration greatly aided issue reproduction and dramatically sped up root cause analysis, allowing the correct workarounds and fixes to be identified, prioritized, and implemented.  The customer is now extremely happy with performance and robustness.  Since the configuration is common to other customers, the lessons learned are being proactively rolled out to other customers and incorporated into the installation procedures for future customers.  This effectively acts as a turbo-boost to performance and reliability for all SPARC SuperCluster customers.  If this had occurred in a "home grown" system of this complexity, I expect it would have taken at least 6 months to get to the bottom of the issue.  But because it was an Engineered System, known, understood, and qualified by both the Solaris and Database teams, we were able to collaborate closely to identify cause and effect and expedite a solution for the customer.  That is a key advantage of Engineered Systems which should not be underestimated.  Indeed, the initial issue mitigation on the Database side followed by final fix on the Solaris side, highlights the high degree of collaboration and excellent teamwork between the Oracle engineering teams.  It's a compelling advantage of the integrated Oracle Red Stack in general and Engineered Systems in particular.

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  • Data management in unexpected places

    - by Ashok_Ora
    Normal 0 false false false EN-US X-NONE X-NONE Data management in unexpected places When you think of network switches, routers, firewall appliances, etc., it may not be obvious that at the heart of these kinds of solutions is an engine that can manage huge amounts of data at very high throughput with low latencies and high availability. Consider a network router that is processing tens (or hundreds) of thousands of network packets per second. So what really happens inside a router? Packets are streaming in at the rate of tens of thousands per second. Each packet has multiple attributes, for example, a destination, associated SLAs etc. For each packet, the router has to determine the address of the next “hop” to the destination; it has to determine how to prioritize this packet. If it’s a high priority packet, then it has to be sent on its way before lower priority packets. As a consequence of prioritizing high priority packets, lower priority data packets may need to be temporarily stored (held back), but addressed fairly. If there are security or privacy requirements associated with the data packet, those have to be enforced. You probably need to keep track of statistics related to the packets processed (someone’s sure to ask). You have to do all this (and more) while preserving high availability i.e. if one of the processors in the router goes down, you have to have a way to continue processing without interruption (the customer won’t be happy with a “choppy” VoIP conversation, right?). And all this has to be achieved without ANY intervention from a human operator – the router is most likely to be in a remote location – it must JUST CONTINUE TO WORK CORRECTLY, even when bad things happen. How is this implemented? As soon as a packet arrives, it is interpreted by the receiving software. The software decodes the packet headers in order to determine the destination, kind of packet (e.g. voice vs. data), SLAs associated with the “owner” of the packet etc. It looks up the internal database of “rules” of how to process this packet and handles the packet accordingly. The software might choose to hold on to the packet safely for some period of time, if it’s a low priority packet. Ah – this sounds very much like a database problem. For each packet, you have to minimally · Look up the most efficient next “hop” towards the destination. The “most efficient” next hop can change, depending on latency, availability etc. · Look up the SLA and determine the priority of this packet (e.g. voice calls get priority over data ftp) · Look up security information associated with this data packet. It may be necessary to retrieve the context for this network packet since a network packet is a small “slice” of a session. The context for the “header” packet needs to be stored in the router, in order to make this work. · If the priority of the packet is low, then “store” the packet temporarily in the router until it is time to forward the packet to the next hop. · Update various statistics about the packet. In most cases, you have to do all this in the context of a single transaction. For example, you want to look up the forwarding address and perform the “send” in a single transaction so that the forwarding address doesn’t change while you’re sending the packet. So, how do you do all this? Berkeley DB is a proven, reliable, high performance, highly available embeddable database, designed for exactly these kinds of usage scenarios. Berkeley DB is a robust, reliable, proven solution that is currently being used in these scenarios. First and foremost, Berkeley DB (or BDB for short) is very very fast. It can process tens or hundreds of thousands of transactions per second. It can be used as a pure in-memory database, or as a disk-persistent database. BDB provides high availability – if one board in the router fails, the system can automatically failover to another board – no manual intervention required. BDB is self-administering – there’s no need for manual intervention in order to maintain a BDB application. No need to send a technician to a remote site in the middle of nowhere on a freezing winter day to perform maintenance operations. BDB is used in over 200 million deployments worldwide for the past two decades for mission-critical applications such as the one described here. You have a choice of spending valuable resources to implement similar functionality, or, you could simply embed BDB in your application and off you go! I know what I’d do – choose BDB, so I can focus on my business problem. What will you do? /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin;}

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  • Take Two: Comparing JVMs on ARM/Linux

    - by user12608080
    Although the intent of the previous article, entitled Comparing JVMs on ARM/Linux, was to introduce and highlight the availability of the HotSpot server compiler (referred to as c2) for Java SE-Embedded ARM v7,  it seems, based on feedback, that everyone was more interested in the OpenJDK comparisons to Java SE-E.  In fact there were two main concerns: The fact that the previous article compared Java SE-E 7 against OpenJDK 6 might be construed as an unlevel playing field because version 7 is newer and therefore potentially more optimized. That the generic compiler settings chosen to build the OpenJDK implementations did not put those versions in a particularly favorable light. With those considerations in mind, we'll institute the following changes to this version of the benchmarking: In order to help alleviate an additional concern that there is some sort of benchmark bias, we'll use a different suite, called DaCapo.  Funded and supported by many prestigious organizations, DaCapo's aim is to benchmark real world applications.  Further information about DaCapo can be found at http://dacapobench.org. At the suggestion of Xerxes Ranby, who has been a great help through this entire exercise, a newer Linux distribution will be used to assure that the OpenJDK implementations were built with more optimal compiler settings.  The Linux distribution in this instance is Ubuntu 11.10 Oneiric Ocelot. Having experienced difficulties getting Ubuntu 11.10 to run on the original D2Plug ARMv7 platform, for these benchmarks, we'll switch to an embedded system that has a supported Ubuntu 11.10 release.  That platform is the Freescale i.MX53 Quick Start Board.  It has an ARMv7 Coretex-A8 processor running at 1GHz with 1GB RAM. We'll limit comparisons to 4 JVM implementations: Java SE-E 7 Update 2 c1 compiler (default) Java SE-E 6 Update 30 (c1 compiler is the only option) OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 CACAO build 1.1.0pre2 OpenJDK 6 IcedTea6 1.11pre 6b23~pre11-0ubuntu1.11.10.2 JamVM build-1.6.0-devel Certain OpenJDK implementations were eliminated from this round of testing for the simple reason that their performance was not competitive.  The Java SE 7u2 c2 compiler was also removed because although quite respectable, it did not perform as well as the c1 compilers.  Recall that c2 works optimally in long-lived situations.  Many of these benchmarks completed in a relatively short period of time.  To get a feel for where c2 shines, take a look at the first chart in this blog. The first chart that follows includes performance of all benchmark runs on all platforms.  Later on we'll look more at individual tests.  In all runs, smaller means faster.  The DaCapo aficionado may notice that only 10 of the 14 DaCapo tests for this version were executed.  The reason for this is that these 10 tests represent the only ones successfully completed by all 4 JVMs.  Only the Java SE-E 6u30 could successfully run all of the tests.  Both OpenJDK instances not only failed to complete certain tests, but also experienced VM aborts too. One of the first observations that can be made between Java SE-E 6 and 7 is that, for all intents and purposes, they are on par with regards to performance.  While it is a fact that successive Java SE releases add additional optimizations, it is also true that Java SE 7 introduces additional complexity to the Java platform thus balancing out any potential performance gains at this point.  We are still early into Java SE 7.  We would expect further performance enhancements for Java SE-E 7 in future updates. In comparing Java SE-E to OpenJDK performance, among both OpenJDK VMs, Cacao results are respectable in 4 of the 10 tests.  The charts that follow show the individual results of those four tests.  Both Java SE-E versions do win every test and outperform Cacao in the range of 9% to 55%. For the remaining 6 tests, Java SE-E significantly outperforms Cacao in the range of 114% to 311% So it looks like OpenJDK results are mixed for this round of benchmarks.  In some cases, performance looks to have improved.  But in a majority of instances, OpenJDK still lags behind Java SE-Embedded considerably. Time to put on my asbestos suit.  Let the flames begin...

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