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• logrotate isn't rotating a particular log file (and i think it should be)

  - by Max Williams

  Hi all. For a particular app, i have log files in two places. One of the places has just one log file that i want to use with logrotate, for the other location i want to use logrotate on all log files in that folder. I've set up an entry called millionaire-staging in /etc/logrotate.d and have been testing it by calling logrotate -f millionaire-staging. Here's my entry: #/etc/logrotate.d/millionaire-staging compress rotate 1000 dateext missingok sharedscripts copytruncate /var/www/apps/test.millionaire/log/staging.log { weekly } /var/www/apps/test.millionaire/shared/log/*log { size 40M } So, for the first folder, i want to rotate weekly (this seems to have worked fine). For the other, i want to rotate only when the log files get bigger than 40 meg. When i look in that folder (using the same locator as in the logrotate config), i can see a file in there that's 54M and which hasn't been rotated: $ ls -lh /var/www/apps/test.millionaire/shared/log/*log -rw-r--r-- 1 www-data root 33M 2010-12-29 15:00 /var/www/apps/test.millionaire/shared/log/test.millionaire.charanga.com.access-log -rw-r--r-- 1 www-data root 54M 2010-09-10 16:57 /var/www/apps/test.millionaire/shared/log/test.millionaire.charanga.com.debug-log -rw-r--r-- 1 www-data root 53K 2010-12-14 15:48 /var/www/apps/test.millionaire/shared/log/test.millionaire.charanga.com.error-log -rw-r--r-- 1 www-data root 3.8M 2010-12-29 14:30 /var/www/apps/test.millionaire/shared/log/test.millionaire.charanga.com.ssl.access-log -rw-r--r-- 1 www-data root 16K 2010-12-17 15:00 /var/www/apps/test.millionaire/shared/log/test.millionaire.charanga.com.ssl.error-log -rw-r--r-- 1 deploy deploy 0 2010-12-29 14:49 /var/www/apps/test.millionaire/shared/log/unicorn.stderr.log -rw-r--r-- 1 deploy deploy 0 2010-12-29 14:49 /var/www/apps/test.millionaire/shared/log/unicorn.stdout.log Some of the other log files in that folder have been rotated though: $ ls -lh /var/www/apps/test.millionaire/shared/log total 91M -rw-r--r-- 1 www-data root 33M 2010-12-29 15:05 test.millionaire.charanga.com.access-log -rw-r--r-- 1 www-data root 54M 2010-09-10 16:57 test.millionaire.charanga.com.debug-log -rw-r--r-- 1 www-data root 53K 2010-12-14 15:48 test.millionaire.charanga.com.error-log -rw-r--r-- 1 www-data root 3.8M 2010-12-29 14:30 test.millionaire.charanga.com.ssl.access-log -rw-r--r-- 1 www-data root 16K 2010-12-17 15:00 test.millionaire.charanga.com.ssl.error-log -rw-r--r-- 1 deploy deploy 0 2010-12-29 14:49 unicorn.stderr.log -rw-r--r-- 1 deploy deploy 41K 2010-12-29 11:03 unicorn.stderr.log-20101229.gz -rw-r--r-- 1 deploy deploy 0 2010-12-29 14:49 unicorn.stdout.log -rw-r--r-- 1 deploy deploy 1.1K 2010-10-15 11:05 unicorn.stdout.log-20101229.gz I think what might have happened is that i first ran this config with a pattern matching *.log, and that means it only rotated the two files that ended in .log (as opposed to -log). Then, when i changed the config and ran it again, it won't do any more since it think's its already had its weekly run, or something. Can anyone see what i'm doing wrong? Is it to do with those top folders being owned by root rather than deploy do you think? thanks, max

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• Pragmas and exceptions

  - by Darryl Gove

  The compiler pragmas: #pragma no_side_effect(routinename) #pragma does_not_write_global_data(routinename) #pragma does_not_read_global_data(routinename) are used to tell the compiler more about the routine being called, and enable it to do a better job of optimising around the routine. If a routine does not read global data, then global data does not need to be stored to memory before the call to the routine. If the routine does not write global data, then global data does not need to be reloaded after the call. The no side effect directive indicates that the routine does no I/O, does not read or write global data, and the result only depends on the input. However, these pragmas should not be used on routines that throw exceptions. The following example indicates the problem: #include <iostream extern "C" { int exceptional(int); #pragma no_side_effect(exceptional) } int exceptional(int a) { if (a==7) { throw 7; } else { return a+1; } } int a; int c=0; class myclass { public: int routine(); }; int myclass::routine() { for(a=0; a<1000; a++) { c=exceptional(c); } return 0; } int main() { myclass f; try { f.routine(); } catch(...) { std::cout << "Something happened" << a << c << std::endl; } } The routine "exceptional" is declared as having no side effects, however it can throw an exception. The no side effects directive enables the compiler to avoid storing global data back to memory, and retrieving it after the function call, so the loop containing the call to exceptional is quite tight: $ CC -O -S test.cpp ... .L77000061: /* 0x0014 38 */ call exceptional ! params = %o0 ! Result = %o0 /* 0x0018 36 */ add %i1,1,%i1 /* 0x001c */ cmp %i1,999 /* 0x0020 */ ble,pt %icc,.L77000061 /* 0x0024 */ nop However, when the program is run the result is incorrect: $ CC -O t.cpp $ ./a.out Something happend00 If the code had worked correctly, the output would have been "Something happened77" - the exception occurs on the seventh iteration. Yet, the current code produces a message that uses the original values for the variables 'a' and 'c'. The problem is that the exception handler reads global data, and due to the no side effects directive the compiler has not updated the global data before the function call. So these pragmas should not be used on routines that have the potential to throw exceptions.

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• Power Management with Oracle VM Server for SPARC

  - by Honglin Su

  With the introduction of Oracle VM Server for SPARC 2.2, it includes power management features which can be set via the service processor (ILOM) of the supported SPARC T-Series systems. Watch this video to learn about the hardware power savings capabilities available on SPARC T4 systems, and how Oracle VM Server for SPARC makes use of them. The video will show you how to choose a power management policy and set a power cap. For more information, read the OTN technical article "How to Use the Power Management Controls on SPARC Servers".

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• Harnessing Business Events for Predictive Decision Making - part 1 / 3

  - by Sanjeev Sharma

  Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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• What types of objects are useful in SQL CLR?

  - by Greg Low

  I've had a number of people over the years ask about whether or not a particular type of object is a good candidate for SQL CLR integration. The rules that I normally apply are as follows: Database Object Transact-SQL Managed Code Scalar UDF Generally poor performance Good option when limited or no data-access Table-valued UDF Good option if data-related Good option when limited or no data-access Stored Procedure Good option Good option when external access is required or limited data access DML...(read more)

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• GDL Presents: All the Web's a Stage

  GDL Presents: All the Web's a Stage All the Web's a Stage: Building a 3D Space in the Browser Thursday, October 11 - 10:30AM PDT Meet the designers and creative team behind a new sensory Chrome experiment, Movi.Kanti.Revo, in a live, design-focused Q&A. Learn how Cirque du Soleil and Subatomic Systems worked to translate the wonder of Cirque into an environment built entirely with markup and CSS. Host: Pete LePage, Developer Advocate Guests: Gillian Ferrabee, Cirque du Soleil | Nicole McDonald, Director/Creative Director, Subatomic Systems From: GoogleDevelopers Views: 0 0 ratings Time: 00:00 More in Science & Technology

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• The Relationship Between JD Edwards World and IBM

  Get an update from Denise Grills, Senior Director of Product Strategy and Marketing for Oracle JD Edwards World and Gordon Orr, Global Systems Marketing Manager – Oracle Alliance on how the two companies have successfully built a partnership that has been very beneficial to their customer base and also get an update on the new POWER Systems Servers.

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• Medical Devices which supports Direct access through Bluetooth Low Energy [on hold]

  - by Suganthan

  I have went through this link and came to know that we can directly interact with BLE devices to read and write data, so I just want to know some medical device which supports direct access to third-party application (we can directly access the data from the medical device data). Is their any devices which supports direct access to the data Note: I already went through medical devices like Withings and Fitbit

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• Now Shipping! NetAdvantage for .NET 2010 Volume 3!

  The new NetAdvantage Ultimate includes all four Line of Business user interface control sets for ASP .NET, Windows Forms, WPF and Silverlight plus two advanced Data Visualization UI control sets for WPF and Silverlight. With six NetAdvantage products in one robust package, Infragistics® gives you hundreds of controls and infinite development possibilities. Unified XAML Product Strategy-Share Code, Get More Controls In the 10.3 release, Infragistics continues to deliver code parity between the XAML platforms, WPF and Silverlight. In the line of business toolsets, Infragistics introduces the new xamSchedule™, full-featured, Outlook® 2010-style schedule controls, and the new xamDataTree™, a data bound tree view that comfortably handles tens of thousands of tree nodes. Mimicking our Silverlight Drag and Drop Framework, the WPF Drag and Drop Framework CTP empowers you to add your own rich touches to your applications. Track Users' Behaviors New to all NetAdvantage Silverlight controls is the Infragistics Analytics Framework (IGAF), which empowers you to track user behavior in RIAs running on Silverlight 4. Building on the Microsoft® Silverlight Analytics Framework, with IGAF you can analyze the user's behaviors to ensure the experience you want to deliver. NetAdvantage for Windows Forms--New Office® 2010 Ribbon and Application Menu 2010 Create new experiences with Windows Forms. Now with Office 2010 styling, NetAdvantage for Windows Forms has new features such as Microsoft® Office 2010 ribbon and enhanced Infragistics.Excel to export the contents of the high performance WinGrid™ into Microsoft Excel® 2010. The new Windows Message Support enables Infragistics standalone editor controls to process numerous Windows® OS messages, allowing them to respond just like native controls to changes in the Windows environment. Create Faster Web 2.0 Experiences with NetAdvantage for ASP .NET Infragistics continues to push the envelope to deliver the fastest ASP .NET WebForms controls available on the market. Our lightning fast ASP .NET grids are now enhanced with XPS/PDF Exporting and Summary Rows. This release also includes support for jQuery Templating (as a CTP) within our WebDataGrid™ and WebDataTree™ controls allowing you to quickly cut down overall page size. Deliver Business Intelligence with Power, Flexibility and the Office 2010 Experience NetAdvantage for WPF Data Visualization and NetAdvantage for Silverlight Data Visualization help you deliver flexible, powerful and usable end user experiences in Business Intelligence applications. Both suites include the Pivot Grid that delivers the full power of online analytical processing (OLAP) to present multi-dimensional data, sliced and diced in cross-tabulated form for end users to drill down into, interact with and easily extract meaning from the data. Mapping Made Easy 10.3 marks the official release of the WPF Data Visualization xamMap™ control to map anything and everything from geographic to geo-spacial mapping data. Map layers allow you to add successive levels of detail, navigational panes for panning in all directions, color swatch panes that facilitate value scales like Choropleth shading, and scale panes allowing users to zoom-in and out. Both toolsets introduce the first of many relationship maps! With the xamOrgChart™ CTP you can map out organizational charts of up to 50K employees, competitive brackets (think World Cup) and any other relational, organizational map your application needs. http://www.infragistics.com span.fullpost {display:none;}

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• parallel_for_each from amp.h – part 1

  - by Daniel Moth

  This posts assumes that you've read my other C++ AMP posts on index<N> and extent<N>, as well as about the restrict modifier. It also assumes you are familiar with C++ lambdas (if not, follow my links to C++ documentation). Basic structure and parameters Now we are ready for part 1 of the description of the new overload for the concurrency::parallel_for_each function. The basic new parallel_for_each method signature returns void and accepts two parameters: a grid<N> (think of it as an alias to extent) a restrict(direct3d) lambda, whose signature is such that it returns void and accepts an index of the same rank as the grid So it looks something like this (with generous returns for more palatable formatting) assuming we are dealing with a 2-dimensional space: // some_code_A parallel_for_each( g, // g is of type grid<2> [ ](index<2> idx) restrict(direct3d) { // kernel code } ); // some_code_B The parallel_for_each will execute the body of the lambda (which must have the restrict modifier), on the GPU. We also call the lambda body the "kernel". The kernel will be executed multiple times, once per scheduled GPU thread. The only difference in each execution is the value of the index object (aka as the GPU thread ID in this context) that gets passed to your kernel code. The number of GPU threads (and the values of each index) is determined by the grid object you pass, as described next. You know that grid is simply a wrapper on extent. In this context, one way to think about it is that the extent generates a number of index objects. So for the example above, if your grid was setup by some_code_A as follows: extent<2> e(2,3); grid<2> g(e); ...then given that: e.size()==6, e[0]==2, and e[1]=3 ...the six index<2> objects it generates (and hence the values that your lambda would receive) are:    (0,0) (1,0) (0,1) (1,1) (0,2) (1,2) So what the above means is that the lambda body with the algorithm that you wrote will get executed 6 times and the index<2> object you receive each time will have one of the values just listed above (of course, each one will only appear once, the order is indeterminate, and they are likely to call your code at the same exact time). Obviously, in real GPU programming, you'd typically be scheduling thousands if not millions of threads, not just 6. If you've been following along you should be thinking: "that is all fine and makes sense, but what can I do in the kernel since I passed nothing else meaningful to it, and it is not returning any values out to me?" Passing data in and out It is a good question, and in data parallel algorithms indeed you typically want to pass some data in, perform some operation, and then typically return some results out. The way you pass data into the kernel, is by capturing variables in the lambda (again, if you are not familiar with them, follow the links about C++ lambdas), and the way you use data after the kernel is done executing is simply by using those same variables. In the example above, the lambda was written in a fairly useless way with an empty capture list: [ ](index<2> idx) restrict(direct3d), where the empty square brackets means that no variables were captured. If instead I write it like this [&](index<2> idx) restrict(direct3d), then all variables in the some_code_A region are made available to the lambda by reference, but as soon as I try to use any of those variables in the lambda, I will receive a compiler error. This has to do with one of the direct3d restrictions, where only one type can be capture by reference: objects of the new concurrency::array class that I'll introduce in the next post (suffice for now to think of it as a container of data). If I write the lambda line like this [=](index<2> idx) restrict(direct3d), all variables in the some_code_A region are made available to the lambda by value. This works for some types (e.g. an integer), but not for all, as per the restrictions for direct3d. In particular, no useful data classes work except for one new type we introduce with C++ AMP: objects of the new concurrency::array_view class, that I'll introduce in the post after next. Also note that if you capture some variable by value, you could use it as input to your algorithm, but you wouldn’t be able to observe changes to it after the parallel_for_each call (e.g. in some_code_B region since it was passed by value) – the exception to this rule is the array_view since (as we'll see in a future post) it is a wrapper for data, not a container. Finally, for completeness, you can write your lambda, e.g. like this [av, &ar](index<2> idx) restrict(direct3d) where av is a variable of type array_view and ar is a variable of type array - the point being you can be very specific about what variables you capture and how. So it looks like from a large data perspective you can only capture array and array_view objects in the lambda (that is how you pass data to your kernel) and then use the many threads that call your code (each with a unique index) to perform some operation. You can also capture some limited types by value, as input only. When the last thread completes execution of your lambda, the data in the array_view or array are ready to be used in the some_code_B region. We'll talk more about all this in future posts… (a)synchronous Please note that the parallel_for_each executes as if synchronous to the calling code, but in reality, it is asynchronous. I.e. once the parallel_for_each call is made and the kernel has been passed to the runtime, the some_code_B region continues to execute immediately by the CPU thread, while in parallel the kernel is executed by the GPU threads. However, if you try to access the (array or array_view) data that you captured in the lambda in the some_code_B region, your code will block until the results become available. Hence the correct statement: the parallel_for_each is as-if synchronous in terms of visible side-effects, but asynchronous in reality.   That's all for now, we'll revisit the parallel_for_each description, once we introduce properly array and array_view – coming next. Comments about this post by Daniel Moth welcome at the original blog.

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• Undocumented Query Plans: The ANY Aggregate

  - by Paul White

  As usual, here’s a sample table: With some sample data: And an index that will be useful shortly: There’s a complete script to create the table and add the data at the end of this post.  There’s nothing special about the table or the data (except that I wanted to have some fun with values and data types). The Task We are asked to return distinct values of col1 and col2 , together with any one value from the thing column (it doesn’t matter which) per group.  One possible result set is shown...(read more)

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• Sync Google Calendar with SharePoint Calendar

  - by dataintegration

  The ADO.NET Providers for Google and SharePoint make it easy to retrieve and update data in both Google's web services and SharePoint. This article shows how the SQL interface to data makes it easy to build applications that need to move data from one source to another. The application described here is a demo Windows application that synchronizes calendar events between Google and SharePoint, but the RSSBus Providers can be used to achieve integrations on both the .NET and the Java platforms, including more sophisticated features like full automation. Getting the Events Step 1: Google accounts can have several calendars. Obtain a list of a user's Google Calendars by issuing a query to the Calendars table. For example: SELECT * FROM Calendars. Step 2: In order to get a list of the events from a given Google Calendar, issue a query to the CalendarEvents table while specifying the CalendarId from the Calendars table. The resulting events can be further filtered by using the StartDateTime or EndDateTime columns. For example: SELECT * FROM CalendarEvents WHERE (CalendarId = '[email protected]') AND (StartDateTime >= '1/1/2012') AND (StartDateTime <= '2/1/2012') Step 3: SharePoint stores data in Lists. There are various types of lists, e.g., document lists and calendar lists. A SharePoint account can have several lists of the same type. To find all the calendar lists in SharePoint, use the ListLists stored procedure and inspect the BaseTemplate column. Step 4: The SharePoint data provider models each SharPoint list as a table. Get the events in a particular calendar by querying the table with the same name as the list. The events may be filtered further by specifying the EventDate or EndDate columns. For example: SELECT * FROM Calendar WHERE (EventDate >= '1/1/2012') AND (EventDate <= '2/1/2012') Synchronizing the Events Synchronizing the events is a simple process. Once the events from Google and SharePoint are available they can be compared and synchronized based on user preference. The sample application does this based on user input, but it is easy to create one that does the synchronization automatically. The INSERT, UPDATE, and DELETE statements available in both data providers makes it easy to create, update, or delete events as needed. Pre-Built Demo Application The executable for the demo application can be downloaded here. Note that this demo is built using BETA builds of the ADO.NET Provider for Google V2 and ADO.NET Provider for SharePoint V2, and will expire in 2013. Source Code You can download the full source of the demo application here. You will need the Google ADO.NET Data Provider V2 and the SharePoint ADO.NET Data Provider V2, which can be obtained here.

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• Fetching Latitude and Longitude Co-ordinates for Addresses using PowerShell

  - by Rob Farley

  Regular readers of my blog (at sqlblog.com – please let me know if you’re reading this elsewhere) may be aware that I’ve been doing more and more with spatial data recently. With the now-available SQL Server 2008 R2 Reporting Services including maps, it’s a topic that interests many people. Interestingly though, although many people have plenty of addresses in their various databases (whether they be CRM systems, HR systems or whatever), my experience shows that many people do not store the latitude...(read more)

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• WebCenter Customer Spotlight: SICE

  - by me

  Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter  Solution SummarySociedad Ibérica de Construcciones Eléctricas, S.A. (SICE) is a Spanish company specializes in engineering and technology integration for intelligent transport systems and environmental control systems. They had a large quantity of engineering and environmental planning documents  which they wanted to manage, classify and integrate with their existing enterprise resource planning (ERP) system. SICE adapted  Oracle WebCenter Content to classify and manage more than 30 different types, defined a security plan to ensure the integrity and recovery of various document types and integrated the document management solution with SICE’s third-party enterprise resource planning (ERP) system. SICE  accelerated time to market for all projects, minimized time required to identify and recover documents  and achieved greater efficiency in all operations. Company Overview Created in 1921, Sociedad Ibérica de Construcciones Eléctricas, S.A. (SICE) currently specializes in engineering and technology integration for intelligent transport systems and environmental control systems. It has more than 2,500 employees, with operations in Spain and various locations in Latin America, the United States, Africa, and Australia. Business Challenges They had a large quantity of engineering and environmental planning documents generated in research and projects which they wanted to manage, classify and integrate with their existing enterprise resource planning (ERP) system. Solution Deployed SICE worked with the Oracle Partner ABAST Solutions to evaluate and choose the best document management system, ultimately selecting Oracle WebCenter Content over other options including  Documentum, SharePoint, OpenText, and Alfresco.They adapted Oracle WebCenter Content to classify and manage more than 30 different types, defined a security plan to ensure the integrity and recovery of various document types and integrated the document management solution  with SICE’s third-party enterprise resource planning (ERP) system to accelerate incorporation with the documentation system and ensure integrity ERP system data. Business Results SICE  accelerated time to market for all projects by releasing reports and information that support and validate engineering projects, stored all documents in a single repository with organizationwide accessibility, minimizing time required to identify and recover documents needed for reports to initiate and execute engineering and building projects. Overall they achieved greater efficiency in all operations, including technical and impact report development and construction documentation management. “The correct and efficient management of information is vital to our environmental management activity. Oracle WebCenter Content  serves as a basis for knowledge management practices, with the objective of adding greater value to everything that we do.” Manuel Delgado, IT Project Engineering, Sociedad Ibérica de Construcciones Eléctricas, S.A Additional Information SICE Customer Snapshot Oracle WebCenter Content

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• No excuse for programmers and multiple platforms

  <b>Technology & Life Integration:</b> "Programming across multiple operating systems is easy. I do it. I have done it for several years. I don't need to have seperate code trees for each operating system. I have a single set of code that I work on and it compiles on different operating systems without having to modify the code!"

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• How to Grow a Website

  Nature has a way of creating perfect designs - simplistic forms disguise otherwise complex systems. These systems are at once eye catching, adaptable and perfectly in sync. In an ideal world, your website would have all of these qualities.

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• GlynnTucker.Cache

  - by csharp-source.net

  The GlynnTucker.Cache assembly provides a data structure for caching slow data retrievals, for example data retrieved from a database server over the network. Think of it as a Hashtable that can automatically expire its data after a set amount of time or a specified period of inactivity, on a per-object basis. It is written in C# and dual licensed under the GPL/MPL, it should work with any .NET language.

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• Why can Perforce be a better version control system? [closed]

  - by dukeofgaming

  I've seen some people love and some loathe Perforce. As users or administrators with experience with other version control systems (free cookie to the ones with DVCS experience [git, Mercurial]), what is the main reason/feature that makes you love Perforce over other version control systems? Edit: No, I don't sell Perforce... this is just part of my ongoing research to pitch DVCS at my company (see my question history)

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• Assessing Relative Maintainability

  - by João Bragança

  We (a contractor, actually) are implementing an off the shelf system to replace a legacy homegrown system for the core domain of the company (designing widgets). Unfortunately both systems will have to run concurrently for some time, as the product just isn't ready yet. Also, the decision was made to only migrate some of the widgets from the legacy system, based on date of last sale activity. Later on a new requirement came down: certain people in the company, most of them outside of the widget development context, want to search all widgets. The search results screen has 3 pieces of data: a GUID, a human readable id that is searchable, and a brief description (may need to be searchable in the future). In the widget details, there will be multiple screens. These screens align very well along SOA / bounded context lines - a screen for marketing data, a screen for sales history, etc. UML ahead! I am probably using the wrong kind of arrows here so please forgive me. The current solution - which is not in production yet - is something like the following: Both systems will be queried and the controller will merge the results. The new system has its own proprietary query language (we've alleviated this a bit with a LINQ provider). It also puts a lot of data on the wire. 15 search results typically run about 60k of unintelligible SOAP-wrapped xml. So I would prefer to avoid querying this system directly. These two systems publish events to help us integrate with other systems, mainly an ERP system. One of these events contains all the data necessary for the search screen. I proposed the following alternative: However I am being told that 'adding another database' will create more maintenance down the road. However, I believe this to be false, as I had to add a relatively simple feature that took several hours longer than anticipated because of this merging code. I want to get a feel for which system is more maintainable in the long run. I personally have not had the burden of maintaining any large system. I want something more than my gut. Specifically I'd like to know if having more, specialized physical databases is more or less maintainable than having less larger physical databases.

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• Ask the Readers: Which Browser is a Must-Have for You on Linux?

  - by Asian Angel

  Linux systems all come with their own particular set of default browsers, but those browsers may not be the ones you want or need. This week we would like to know which browser (or browsers) are considered “must-have” on your Linux systems. As a general rule many Linux distributions have Firefox and/or Konqueror as one of the default installation browsers. During this past year the open source browser Chromium has also been gaining a lot of traction as a default install for systems. For most people these browsers are the ones that they like best or feel work well enough to not make any changes. But there are other people who want more than what is available with a default system install. They may favor a particular browser for its’ extensibility or speed…others prefer a particular browser for its’ features or minimalist UI. Whatever your preferences may be, there is a browser out there to fit your style. Some people may even prefer to run only bleeding edge nightly releases or add them in with their current browsers. The important part is that you have choices when it comes to your Linux system. What we would like to know this week is which browser or browsers you make sure are always installed on your Linux systems. Does the Linux system you use already have your favorite browser installed as part of the default set? Maybe you are content with using the default set of browsers that come with the system. Or perhaps you prefer to rework the entire browser setup on your system by removing the defaults and adding your favorites. Let us know which browsers you consider “must have” and why in the comments! Note: You can make up to two selections on today’s poll since most people will likely have more than one browser that they make certain is always installed. How-To Geek Polls require Javascript. Please Click Here to View the Poll. Latest Features How-To Geek ETC How To Boot 10 Different Live CDs From 1 USB Flash Drive The 20 Best How-To Geek Linux Articles of 2010 The 50 Best How-To Geek Windows Articles of 2010 The 20 Best How-To Geek Explainer Topics for 2010 How to Disable Caps Lock Key in Windows 7 or Vista How to Use the Avira Rescue CD to Clean Your Infected PC BotSync Enables Secure FTP File Synchronization on Android Devices Enjoy Beautiful City Views with the Cityscape Theme for Windows 7 Luigi Installs Any OS on Google’s Cr-48 Notebook DIY iPad Stylus Offers Pen-Based Interaction on the Cheap Serene Blue Ubuntu Wallpaper for Your Desktop Enjoy Old School Style Video Game Fun with Chicken Invaders

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• Reasons for missing IP info in `last` output on pts logins?

  - by Mike Pennington

  I have five CentOS 6 linux systems at work, and encountered a rather strange issue that only seems to happen with my userid across all the linux systems I have... This is an example of the problem from entries I excepted from the last command... mpenning pts/19 Fri Nov 16 10:32 - 10:35 (00:03) mpenning pts/17 Fri Nov 16 10:21 - 10:42 (00:21) bill pts/15 sol-bill.local Fri Nov 16 10:19 - 10:36 (00:16) mpenning pts/1 192.0.2.91 Fri Nov 16 10:17 - 10:49 (12+00:31) kkim14 pts/14 192.0.2.225 Thu Nov 15 18:02 - 15:17 (4+21:15) gduarte pts/10 192.0.2.135 Thu Nov 15 12:33 - 08:10 (11+19:36) gduarte pts/9 192.0.2.135 Thu Nov 15 12:31 - 08:10 (11+19:38) kkim14 pts/0 :0.0 Thu Nov 15 12:27 - 15:17 (5+02:49) gduarte pts/6 192.0.2.135 Thu Nov 15 11:44 - 08:10 (11+20:25) kkim14 pts/13 192.0.2.225 Thu Nov 15 09:56 - 15:17 (5+05:20) kkim14 pts/12 192.0.2.225 Thu Nov 15 08:28 - 15:17 (5+06:49) kkim14 pts/11 192.0.2.225 Thu Nov 15 08:26 - 15:17 (5+06:50) dspencer pts/8 192.0.2.130 Wed Nov 14 18:24 still logged in mpenning pts/18 alpha-console-1. Mon Nov 12 14:41 - 14:46 (00:04) You can see two of my pts login entries above that do not have a source IP address associated with them. My CentOS machines have as many as six other users that share the systems, but the mpenning userid is the only one that has this issue. Approximately 5% of my logins see this issue, but no other usernames exhibit this behavior. Questions Given the kind of scripts I keep on these systems (which control much of our network infrastructure), I'm a little spooked by this and would like to understand what would cause my logins to occasionally miss source addresses. Is there anything (other than malicious activity) that would reasonably explain the behavior? Other than bash history timestamping, are there other things I can do to track the issue down? Informational Since this started happening, I enabled bash history time-stamping (i.e. HISTTIMEFORMAT="%y-%m-%d %T " in .bash_profile) and also added a few other bash history hacks; however, that does not give clues to what happened during the previous occurrences. All the systems run CentOS 6.3... [mpenning@typo ~]$ uname -a Linux typo.local 2.6.32-279.9.1.el6.x86_64 #1 SMP Tue Sep 25 21:43:11 UTC 2012 x86_64 x86_64 x86_64 GNU/Linux [mpenning@typo ~]$ EDIT If I use last -i mpenning, I see entries like this... mpenning pts/19 0.0.0.0 Fri Nov 16 10:32 - 10:35 (00:03) mpenning pts/17 0.0.0.0 Fri Nov 16 10:21 - 10:42 (00:21)

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• T-SQL Tuesday #006 Round-up!

  - by Mike C

  T-SQL Tuesday this month was all about LOB (large object) data. Thanks to all the great bloggers out there who participated! The participants this month posted some very impressive articles with information running the gamut from Reporting Services to SQL Server spatial data types to BLOB-handling in SSIS. One thing I noticed immediately was a trend toward articles about spatial data (SQL Server 2008 Geography and Geometry data types, a very fun topic to explore if you haven’t played around with...(read more)

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• How to explain bad software to non-technical people?

  - by mtutty

  In discussing software development with non-technical people (customers, business owners, project sponsors, etc.), I often resort to analogies and metaphors. It's relatively easy and effective to use a "house" or other metaphor for describing the size and complexity of new development. However, we often inherit someone else's code or data, and this approach doesn't seem to hold up as well when trying to explain why we're gutting something that already seems to work. Of course we can point to cycle time and cost to be saved in the future but this generally means nothing to business folks. I know doctors can say "just take this pill," but I'm not sure that software devs have the same authority. Ideas? EDIT: Let me add a bit to the discussion. The specific project I'm talking about has customers that don't realize (or care) about specific aspects of the system we're retiring (i.e., they think it was just fine): The system would save a NEW RECORD every time someone updated a field The system contained tables for reference data. These tables had new records added every day, even though they were duplicates of previous records. And there was no way to tie the reference data used for a particular case at the time it was closed. This is like 99% of the data in the old system. The field NAMES also have spaces, apostrophes and other inappropriate characters in them, making everything harder to work with. In addition to the incredible amount of duplicate data, they have around 1000 XLS files with data they want added to the system. Previously, they would do a spreadsheet for each case in the database, IN ADDITION TO what they typed into the database. Getting rid of this old, unneeded information and piping in the XLS data comprises about 80% of the total project effort, and was not something we could accurately predict. I'm trying to find a concrete way to describe how bad this thing was, mostly so that the customer will understand why the migration process has been so time-consuming. The actual coding was done pretty quickly and the new system works fine, but without the old data they won't be happy. Sorry to get into the weeds, but most of the answers I've seen so far are pretty basic scope/schedule/cost things. I've been doing this for 15 years, so this really is more of a reflective, philosophical question - but without some of the details it can be difficult to really appreciate the awful beauty of this problem.

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• On Demand Webinar: Extreme Database Performance meets its Backup and Recovery Match

  - by Cinzia Mascanzoni

  Oracle’s Sun ZFS Backup Appliance is a tested, validated and supported backup appliance specifically tuned for Oracle engineered system backup and recovery. The Sun ZFS Backup Appliance is easily integrated with Oracle engineered systems and provides an integrated high-performance backup solution that reduces backup windows by up to 7x and recovery time by up to 4x compared to competitor engineered systems backup solutions. Invite partners to register to attend this webcast to learn how the Sun ZFS Backup Appliance can provide superior performance, cost effectiveness, simplified management and reduced risk.

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• Why is domU faster than dom0 on IO?

  - by Paco

  I have installed debian 7 on a physical machine. This is the configuration of the machine: 3 hard drives using RAID 5 Strip element size: 1M Read policy: Adaptive read ahead Write policy: Write Through /boot 200 MB ext2 / 15 GB ext3 SWAP 10GB LVM rest (~500GB) emphasized text I installed postgresql, created a big database (over 1GB). I have an SQL request that takes a lot of time to run (a SELECT statement, so it only reads data from the database). This request takes approximately 5.5 seconds to run. Then, I installed XEN, created a domU, with another debian distro. On this OS, I also installed postgresql, with the same database. The same SQL request takes only 2.5 seconds to run. I checked the kernel on both dom0 and domU. uname-a returns "Linux debian 3.2.0-4-amd64 #1 SMP Debian 3.2.41-2+deb7u2 x86_64 GNU/Linux" on both systems. I checked the kernel parameters, which are approximately the same. For those that are relevant, I changed their values to make them match on both systems using sysctl. I saw no changes (the requests still take the same amount of time). After this, I checked the file systems. I used ext3 on domU. Still no changes. I installed hdparm, and ran hdparm -Tt on both systems, on all my partitions on both systems, and I get similar results. Now, I am stuck, I don't know what is different, and what could be the cause of such a big difference. Additional Info: Debian runs on a Dell server PowerEdge 2950 postgresql: 9.1.9 (both dom0 and domU) xen-linux-system: 3.2.0 xen-hypervisor: 4.1 Thanks EDIT: As Krzysztof Ksiezyk suggested, it might be due to some file caching system. I ran the dd command to test both the read and write speed. Here is domU: root@test1:~# dd if=/dev/zero of=/root/dd count=5MB bs=1MB ^C2020+0 records in 2020+0 records out 2020000000 bytes (2.0 GB) copied, 18.8289 s, 107 MB/s root@test1:~# dd if=/root/dd of=/dev/null count=5MB bs=1MB 2020+0 records in 2020+0 records out 2020000000 bytes (2.0 GB) copied, 15.0549 s, 134 MB/s And here is dom0: root@debian:~# dd if=/dev/zero of=/root/dd count=5MB bs=1MB ^C1693+0 records in 1693+0 records out 1693000000 bytes (1.7 GB) copied, 8.87281 s, 191 MB/s root@debian:~# dd if=/root/dd of=/dev/null count=5MB bs=1MB 1693+0 records in 1693+0 records out 1693000000 bytes (1.7 GB) copied, 0.501509 s, 3.4 GB/s What can be the cause of this caching system? And how can we "fix" it? Can we apply it to dom0? EDIT 2: I switched my virtual disk type. To do so I followed this article. I did a dd if=/dev/vg0/test1-disk of=/mnt/test1-disk.img bs=16M Then in /etc/xen/test1.cfg, I changed the disk parameter to use file: instead of phy: it should have removed the file caching, but I still get the same numbers (domU being much faster for Postgres)

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