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• Active X Development: VC++ or VB or Other technologies

  - by Gopalakrishnan Subramani

  We are in the process of creating active-x controls used within our application. Since Microsoft stopped supporting classic Visual Basic, is it wise to use Visual Basic to develop the Active X control or the latest VC++/ATL/MFC libraries provide more feature where we can create controls faster by leaving Visual Basic flexibility? We will not be able to use .NET/VB.NET/C# since the application is supposed to work inside containers and containers may not support latest .NET runtime. Any other language is best fit for Active X control development other than VB and VC++?

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• JQuery/JavaScript div tag "containment" approach/algorithm?

  - by Pete Alvin

  Background: I've created an online circuit design application where div tags are containers that contain smaller div containers and so forth. Question: For any particular div tag I need to quickly identify if it contains other div tags (that may in turn contain other div tags). I've searched JQuery and I don't see any built-in routine for this. Does anyone know of an algorithm that's quicker than O(n^2)? Seems like I have to walk the list of div tags in an outer loop (n) and have an inner loop (another n) to compare against all other div tags and do a "containment test" (position, width, height), building a list of contained div tags. That's n-squared. Then I have to build a list of all nested div tags by concatenating contained lists. So the total would be O(n^2)+n. There must be a better way?

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• Flex 4: Getter getting before setter sets

  - by Steve

  I've created an AS class to use as a data model, shown here: package { import mx.controls.Alert; import mx.rpc.events.FaultEvent; import mx.rpc.events.ResultEvent; import mx.rpc.http.HTTPService; public class Model { private var xmlService:HTTPService; private var _xml:XML; private var xmlChanged:Boolean = false; public function Model() { } public function loadXML(url:String):void { xmlService = new HTTPService(); if (!url) xmlService.url = "DATAPOINTS.xml"; else xmlService.url = url; xmlService.resultFormat = "e4x"; xmlService.addEventListener(ResultEvent.RESULT, setXML); xmlService.addEventListener(FaultEvent.FAULT, faultXML); xmlService.send(); } private function setXML(event:ResultEvent):void { xmlChanged = true; this._xml = event.result as XML; } private function faultXML(event:FaultEvent):void { Alert.show("RAF data could not be loaded."); } public function get xml():XML { return _xml; } } } And in my main application, I'm initiating the app and calling the loadXML function to get the XML: <fx:Script> <![CDATA[ import mx.containers.Form; import mx.containers.FormItem; import mx.containers.VBox; import mx.controls.Alert; import mx.controls.Button; import mx.controls.Label; import mx.controls.Text; import mx.controls.TextInput; import spark.components.NavigatorContent; private function init():void { var model:Model = new Model(); model.loadXML(null); var xml:XML = model.xml; } ]]> </fx:Script> The trouble I'm having is that the getter function is running before loadXML has finished, so the XML varible in my main app comes up undefined in stack traces. How do I put a condition in here somewhere that tells the getter to wait until the loadXML() function has finished before running?

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• Exporting classes containing std:: objects (vector, map, etc) from a dll

  - by RnR

  I'm trying to export classes from a DLL that contain objects such as std::vectors and std::stings - the whole class is declared as dll export through: class DLL_EXPORT FontManager { The problem is that for members of the complex types I get this warning: warning C4251: 'FontManager::m__fonts' : class 'std::map<_Kty,_Ty' needs to have dll-interface to be used by clients of class 'FontManager' with [ _Kty=std::string, _Ty=tFontInfoRef ] I'm able to remove some of the warnings by putting the following forward class declaration before them even though I'm not changing the type of the member variables themselves: template class DLL_EXPORT std::allocator<tCharGlyphProviderRef>; template class DLL_EXPORT std::vector<tCharGlyphProviderRef,std::allocator<tCharGlyphProviderRef> >; std::vector<tCharGlyphProviderRef> m_glyphProviders; Looks like the forward declaration "injects" the DLL_EXPORT for when the member is compiled but is it safe? Does it realy change anything when the client compiles this header and uses the std container on his side? Will it make all future uses of such a container DLL_EXPORT (and possibly not inline?)? And does it really solve the problem that the warning tries to warn about? Is this warning anything I should be worried about or would it be best to disable it in the scope of these constructs? The clients and the dll will always be built using the same set of libraries and compilers and those are header only classes... I'm using Visual Studio 2003 with the standard STD library. ---- Update ---- I'd like to target you more though as I see the answers are general and here we're talking about std containers and types (such as std::string) - maybe the question really is: Can we disable the warning for standard containers and types available to both the client and the dll through the same library headers and treat them just as we'd treat an int or any other built-in type? (It does seem to work correctly on my side.) If so would should be the conditions under which we can do this? Or should maybe using such containers be prohibited or at least ultra care taken to make sure no assignment operators, copy constructors etc will get inlined into the dll client? In general I'd like to know if you feel designing a dll interface having such objects (and for example using them to return stuff to the client as return value types) is a good idea or not and why - I'd like to have a "high level" interface to this functionality... maybe the best solution is what Neil Butterworth suggested - creating a static library?

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• Dynamically Creating Flex Components In ActionScript

  - by Joshua

  Isn't there some way to re-write the following code, such that I don't need a gigantic switch statement with every conceivable type? Also, if I can replace the switch statement with some way to dynamically create new controls, then I can make the code smaller, more direct, and don't have to anticipate the possibility of custom control types. Before: <?xml version="1.0" encoding="utf-8"?> <mx:WindowedApplication xmlns:mx="http://www.adobe.com/2006/mxml" layout="vertical"> <mx:Script> <![CDATA[ import mx.containers.HBox; import mx.controls.Button; import mx.controls.Label; public function CreateControl(event:Event):void { var Type:String=Edit.text; var NewControl:Object; switch (Type) { case 'mx.controls::Label':NewControl=new Label();break; case 'mx.controls::Button':NewControl=new Button();break; case 'mx.containers::HBox':NewControl=new HBox();break; ... every other type, including unforeseeable custom types } this.addChild(NewControl as DisplayObject); } ]]> </mx:Script> <mx:Label text="Control Type"/> <mx:TextInput id="Edit"/> <mx:Button label="Create" click="CreateControl(event);"/> </mx:WindowedApplication> AFTER: <?xml version="1.0" encoding="utf-8"?> <mx:WindowedApplication xmlns:mx="http://www.adobe.com/2006/mxml" layout="vertical"> <mx:Script> <![CDATA[ import mx.containers.HBox; import mx.controls.Button; import mx.controls.Label; public function CreateControl(event:Event):void { var Type:String=Edit.text; var NewControl:Object= *???*(Type); this.addChild(NewControl as DisplayObject); } ]]> </mx:Script> <mx:Label text="Control Type"/> <mx:TextInput id="Edit"/> <mx:Button label="Create" click="CreateControl(event);"/> </mx:WindowedApplication>

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• How to save an order (permutation) in an sql db

  - by Bendlas

  I have a tree structure in an sql table like so: CREATE TABLE containers ( container_id serial NOT NULL PRIMARY KEY, parent integer REFERENCES containers (container_id)) Now i want to define an ordering between nodes with the same parent. I Have thought of adding a node_index column, to ORDER BY, but that seem suboptimal, since that involves modifying the index of a lot of nodes when modifying the stucture. That could include adding, removing, reordering or moving nodes from some subtree to another. Is there a sql datatype for an ordered sequence, or an efficient way to emulate one? Doesn't need to be fully standard sql, I just need a solution for mssql and hopefully postgresql EDIT To make it clear, the ordering is arbitrary. Actually, the user will be able to drag'n'drop tree nodes in the GUI

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• facelet - nested <ui:insert>

  - by user321350

  I have multiple templates which differs with each other only by few containers. The most complex one contains superset of all containers used in all other one thus to avoid creating multiple templates I created the most complex one in following format some layout stuff (div and all) defining nested insert for each container and content. Now in client template based on what is needed I turn off container which is not needed as else if container is needed, just define content as doSomething Please let me know if you guys see any issues with this approach, any potential problem or alternate approach for similar scenario. thanks a lot. Maddy

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• PRUEBAS DE ESPECIALIZACION 2013/2014

  - by agallego

  Consigue  tu Certificado de Especialista Oracle  de forma GRATUITA , 27 y 28 de Noviembre de 2013  Ahora puedes realizar los exámenes de implementación de las especializaciones de Oracle y convertirte en especialista. Podrás realizar cualquiera de los exámenes de implementación de la siguiente lista: Oracle Fusion Customer Relationship Management 11g Sales Certified Implementation Specialist (1Z0-456) Oracle Fusion Customer Relationship Management 11g Incentive Compensation Certified Implementation Specialist (1Z0-472) Oracle ATG Web Commerce 10 Implementation Developer Certified Implementation Specialist (1Z0-510) Oracle RightNow CX Cloud Service 2012 Certified Implementation Specialist (1Z0-465) Oracle RightNow CX Cloud Service 2012 Developer Certified Implementation Specialist (1Z0-480) Oracle Fusion Human Capital Management 11g Human Resources Certified Implementation Specialist (1Z0-584) Oracle Fusion Human Capital Management 11g Talent Management Certified Implementation Specialist (1Z0-585) Oracle Taleo Recruiting Cloud Service 2013 Certified Implementation Specialist  (1Z0-474) Oracle Fusion Financials 11g Accounts Payable Certified Implementation Specialist(1Z0-507) Oracle Fusion Financials 11g Accounts Receivable Certified Implementation Specialist(1Z0-506) Oracle Fusion Financials 11g General Ledger Certified Implementation Specialist (1Z0-508) Oracle Fusion Distributed Order Orchestration 11g Essentials (1Z0-469) Oracle Documaker Standard Edition 12 Implementation Essentials (1Z0-570) Oracle Hyperion Planning 11 Essentials (1Z0-533) Oracle Hyperion Financial Management 11 Essentials (1Z0-532) Oracle Business Intelligence Foundation Suite 11g Essentials (1Z0-591) Oracle Essbase 11 Essentials (1Z0-531) Oracle GoldenGate 10 Essentials (1Z0-539) Oracle GoldenGate 11g Certified Implementation Exam Essentials Oracle Business Intelligence Applications 7.9.6 for CRM Essentials (1Z0-524) Oracle Business Intelligence Applications 7.9.6 for ERP Essentials (1Z0-525) Oracle Oracle Endeca Information Discovery 2.3 Certified Implementation Specialist (1Z0-461) Oracle SOA Suite 11g Essentials (1Z0-478) Oracle Service-Oriented Architecture Certified Implementation Specialist (1Z0-451) Oracle Unified Business Process Management Suite 11g Certified Implementation Specialist (1Z0-560) Oracle WebLogic Server 12c Certified Implementation Specialist (1Z0-599) Oracle Application Grid Certified Implementation Specialist(1Z0-523) Oracle WebCenter Content 11g Essentials (1Z0-542) Oracle WebCenter Portal 11g Essentials (1Z0-541) Oracle Application Development Framework Essentials (1Z1-554) Oracle Identity Governance Suite 11g Essentials(1z0-459) Oracle Access Management Suite Plus 11g Essentials Exam(1z0-479) M2M Platform Certified Architecture Essentials (1Z0-467) Oracle WebCenter Sites 11g Certified Implementation Specialist (1Z0-462)  Oracle Cloud Application Foundation Essentials(1Z0-468) Oracle Exadata 11g Essentials (1Z0-536) Exadata Database Machine Models X3-2 and X3-8 Certified Implementation Specialist (1Z0-485) Oracle Certified Expert, Oracle Exadata X3 Administration(1Z0-027) Exalogic Elastic Cloud X2-2 Certified Implementation Specialist (1Z0-569) Oracle Linux System Administration (1Z0-403) Oracle Linux Fundamentals (1Z0-402) Oracle Linux 6 Certified Implementation Specialist (1Z0-460) Oracle VM 3 for x86 Certified Implementation Specialist (1Z0-590) Oracle Enterprise Manager 11g Essentials  (1Z0-530 ) Oracle Enterprise Manager 12c Essentials (1Z0-457) SPARC T4-Based Server Installation Essentials (1Z0-597) 1Z0-821 Oracle Solaris 11 System Administration 1Z0-822 Oracle Solaris 11 Advanced System Administration Oracle Solaris 11 Installation and Configuration Essentials (1Z0-580) StorageTek Tape Libraries Certified Implementation Specialist(1Z0-546) Sun ZFS Storage Appliance Certified Implementation Specialist The Primavera P6 Enterprise Project Portfolio Management 8 Essentials (1Z0-567) The Primavera Portfolio Management Essentials (1Z0-544) Primavera Contract Management 14 Certified Implementation Specialist (1Z0-582) Oracle Utilities Customer Care and Billing 2 Certified Implementation Specialist (1Z0-562) Oracle Policy Automation 10 Certified Implementation Specialist (1Z0-534) Oracle User Productivity Kit 11 Certified Implementation Specialist (1Z0-566) Oracle User Productivity Kit 11 Technical Certified Implementation Specialist (1Z0-583) Oracle Retail Demand Forecasting 13.3 Functional Implementer Certified Implementation Specialist (1Z0-463) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Merchandising System 13.2 Foundation Functional Implementer Certified Implementation Specialist (1Z0-453) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Point-of-Service Technical Certified Implementation Specialist (1Z0-572) Oracle Retail Price Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-454) Oracle Retail Predictive Application Server 13 Configuration Implementation Specialist (1Z0-576) Oracle Retail Store Inventory Management 13.2 Functional Implementer Certified Implementation Specialist (1Z0-455) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FlexCube Universal Banking 11 Basic Implementation Essentials (1Z0-561) Oracle Flexcube Universal Banking 11 Technical Implementation Essentials (1Z0-579) Oracle FLEXCUBE Direct Banking 6 Implementation Essentials (1Z0-594)   Puedes consultar la información acerca de los examenes en cada uno de los enlaces. Para prepararte los examenes sigue la Guia de estudio que encontrarás en la página de cada examen. Requisitos: ser  Partner Gold, Platinum o Diamond de Oracle y tener un usuario de Oracle Pearson Vue.  ¿Cuándo?: 27 y 28 de noviembre  a las (9:00, 12:00, 16:00)  ¿Dónde?: Core Networks, C.E.Parque Norte, Edificio Olmo, Planta 1 Serrano Galvache 56 | 28033, Madrid Para inscribirte: Create una cuenta en Pearson Vue (www.pearsonvue.com/oracle). Para Registrarte aquí. Para más información sobre el programa de especializaciones, haz clic aquí. No pierdas esta oportunidad e inscríbete hoy.  Para cualquier duda contactar con [email protected]. Ana María Gallego Partner Enablement Manager Spain and Portugal        

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• Implications of Java 6 End of Public Updates for EBS Users

  - by Steven Chan (Oracle Development)

  The Support Roadmap for Oracle Java is published here: Oracle Java SE Support Roadmap The latest updates to that page (as of Sept. 19, 2012) state (emphasis added): Java SE 6 End of Public Updates Notice After February 2013, Oracle will no longer post updates of Java SE 6 to its public download sites. Existing Java SE 6 downloads already posted as of February 2013 will remain accessible in the Java Archive on Oracle Technology Network. Developers and end-users are encouraged to update to more recent Java SE versions that remain available for public download. For enterprise customers, who need continued access to critical bug fixes and security fixes as well as general maintenance for Java SE 6 or older versions, long term support is available through Oracle Java SE Support . What does this mean for Oracle E-Business Suite users? EBS users fall under the category of "enterprise users" above.  Java is an integral part of the Oracle E-Business Suite technology stack, so EBS users will continue to receive Java SE 6 updates after February 2013. In other words, nothing will change for EBS users after February 2013.  EBS users will continue to receive critical bug fixes and security fixes as well as general maintenance for Java SE 6. These Java SE 6 updates will be made available to EBS users for the Extended Support periods documented in the Oracle Lifetime Support policy document for Oracle Applications (PDF): EBS 11i Extended Support ends November 2013 EBS 12.0 Extended Support ends January 2015 EBS 12.1 Extended Support ends December 2018 Will EBS users be forced to upgrade to JRE 7 for Windows desktop clients? No. This upgrade will be highly recommended but currently remains optional. JRE 6 will be available to Windows users to run with EBS for the duration of your respective EBS Extended Support period.  Updates will be delivered via My Oracle Support, where you can continue to receive critical bug fixes and security fixes as well as general maintenance for JRE 6 desktop clients.  The certification of Oracle E-Business Suite with JRE 7 (for desktop clients accessing EBS Forms-based content) is in its final stages.  If you plan to upgrade your EBS desktop clients to JRE 7 when that certification is released, you can get a head-start on that today. Coexistence of JRE 6 and JRE 7 on Windows desktops The upgrade to JRE 7 will be highly recommended for EBS users, but some users may need to run both JRE 6 and 7 on their Windows desktops for reasons unrelated to the E-Business Suite. Most EBS configurations with IE and Firefox use non-static versioning by default. JRE 7 will be invoked instead of JRE 6 if both are installed on a Windows desktop. For more details, see "Appendix B: Static vs. Non-static Versioning and Set Up Options" in Notes 290801.1 and 393931.1. Applying Updates to JRE 6 and JRE 7 to Windows desktops Auto-update will keep JRE 7 up-to-date for Windows users with JRE 7 installed. Auto-update will only keep JRE 7 up-to-date for Windows users with both JRE 6 and 7 installed.  JRE 6 users are strongly encouraged to apply the latest Critical Patch Updates as soon as possible after each release. The Jave SE CPUs will be available via My Oracle Support.  EBS users can find more information about JRE 6 and 7 updates here: Information Center: Installation & Configuration for Oracle Java SE (Note 1412103.2) The dates for future Java SE CPUs can be found on the Critical Patch Updates, Security Alerts and Third Party Bulletin.  An RSS feed is available on that site for those who would like to be kept up-to-date. What will Mac users need? Oracle will provide updates to JRE 7 for Mac OS X users. EBS users running Macs will need to upgrade to JRE 7 to receive JRE updates. The certification of Oracle E-Business Suite with JRE 7 for Mac-based desktop clients accessing EBS Forms-based content is underway. Mac users waiting for that certification may find this article useful: How to Reenable Apple Java 6 Plug-in for Mac EBS Users Will EBS users be forced to upgrade to JDK 7 for EBS application tier servers? No. This upgrade will be highly recommended but will be optional for EBS application tier servers running on Windows, Linux, and Solaris.  You can choose to remain on JDK 6 for the duration of your respective EBS Extended Support period.  If you remain on JDK 6, you will continue to receive critical bug fixes and security fixes as well as general maintenance for JDK 6. The certification of Oracle E-Business Suite with JDK 7 for EBS application tier servers on Windows, Linux, and Solaris as well as other platforms such as IBM AIX and HP-UX is planned.  Customers running platforms other than Windows, Linux, and Solaris should refer to their Java vendors's sites for more information about their support policies. Related Articles Planning Bulletin for JRE 7: What EBS Customers Can Do Today EBS 11i and 12.1 Support Timeline Changes Frequently Asked Questions about Latest EBS Support Changes Critical Patch Updates During EBS 11i Exception to Sustaining Support Period

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• SPARC T4-4 Delivers World Record Performance on Oracle OLAP Perf Version 2 Benchmark

  - by Brian

  Oracle's SPARC T4-4 server delivered world record performance with subsecond response time on the Oracle OLAP Perf Version 2 benchmark using Oracle Database 11g Release 2 running on Oracle Solaris 11. The SPARC T4-4 server achieved throughput of 430,000 cube-queries/hour with an average response time of 0.85 seconds and the median response time of 0.43 seconds. This was achieved by using only 60% of the available CPU resources leaving plenty of headroom for future growth. The SPARC T4-4 server operated on an Oracle OLAP cube with a 4 billion row fact table of sales data containing 4 dimensions. This represents as many as 90 quintillion aggregate rows (90 followed by 18 zeros). Performance Landscape Oracle OLAP Perf Version 2 Benchmark 4 Billion Fact Table Rows System Queries/hour Users* Response Time (sec) Average Median SPARC T4-4 430,000 7,300 0.85 0.43 * Users - the supported number of users with a given think time of 60 seconds Configuration Summary and Results Hardware Configuration: SPARC T4-4 server with 4 x SPARC T4 processors, 3.0 GHz 1 TB memory Data Storage 1 x Sun Fire X4275 (using COMSTAR) 2 x Sun Storage F5100 Flash Array (each with 80 FMODs) Redo Storage 1 x Sun Fire X4275 (using COMSTAR with 8 HDD) Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 (11.2.0.3) with Oracle OLAP option Benchmark Description The Oracle OLAP Perf Version 2 benchmark is a workload designed to demonstrate and stress the Oracle OLAP product's core features of fast query, fast update, and rich calculations on a multi-dimensional model to support enhanced Data Warehousing. The bulk of the benchmark entails running a number of concurrent users, each issuing typical multidimensional queries against an Oracle OLAP cube consisting of a number of years of sales data with fully pre-computed aggregations. The cube has four dimensions: time, product, customer, and channel. Each query user issues approximately 150 different queries. One query chain may ask for total sales in a particular region (e.g South America) for a particular time period (e.g. Q4 of 2010) followed by additional queries which drill down into sales for individual countries (e.g. Chile, Peru, etc.) with further queries drilling down into individual stores, etc. Another query chain may ask for yearly comparisons of total sales for some product category (e.g. major household appliances) and then issue further queries drilling down into particular products (e.g. refrigerators, stoves. etc.), particular regions, particular customers, etc. Results from version 2 of the benchmark are not comparable with version 1. The primary difference is the type of queries along with the query mix. Key Points and Best Practices Since typical BI users are often likely to issue similar queries, with different constants in the where clauses, setting the init.ora prameter "cursor_sharing" to "force" will provide for additional query throughput and a larger number of potential users. Except for this setting, together with making full use of available memory, out of the box performance for the OLAP Perf workload should provide results similar to what is reported here. For a given number of query users with zero think time, the main measured metrics are the average query response time, the median query response time, and the query throughput. A derived metric is the maximum number of users the system can support achieving the measured response time assuming some non-zero think time. The calculation of the maximum number of users follows from the well-known response-time law N = (rt + tt) * tp where rt is the average response time, tt is the think time and tp is the measured throughput. Setting tt to 60 seconds, rt to 0.85 seconds and tp to 119.44 queries/sec (430,000 queries/hour), the above formula shows that the T4-4 server will support 7,300 concurrent users with a think time of 60 seconds and an average response time of 0.85 seconds. For more information see chapter 3 from the book "Quantitative System Performance" cited below. -- See Also Quantitative System Performance Computer System Analysis Using Queueing Network Models Edward D. Lazowska, John Zahorjan, G. Scott Graham, Kenneth C. Sevcik external local Oracle Database 11g – Oracle OLAP oracle.com OTN SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 oracle.com OTN Disclosure Statement Copyright 2012, Oracle and/or its affiliates. All rights reserved. Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners. Results as of 11/2/2012.

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• Performance triage

  - by Dave

  Folks often ask me how to approach a suspected performance issue. My personal strategy is informed by the fact that I work on concurrency issues. (When you have a hammer everything looks like a nail, but I'll try to keep this general). A good starting point is to ask yourself if the observed performance matches your expectations. Expectations might be derived from known system performance limits, prototypes, and other software or environments that are comparable to your particular system-under-test. Some simple comparisons and microbenchmarks can be useful at this stage. It's also useful to write some very simple programs to validate some of the reported or expected system limits. Can that disk controller really tolerate and sustain 500 reads per second? To reduce the number of confounding factors it's better to try to answer that question with a very simple targeted program. And finally, nothing beats having familiarity with the technologies that underlying your particular layer. On the topic of confounding factors, as our technology stacks become deeper and less transparent, we often find our own technology working against us in some unexpected way to choke performance rather than simply running into some fundamental system limit. A good example is the warm-up time needed by just-in-time compilers in Java Virtual Machines. I won't delve too far into that particular hole except to say that it's rare to find good benchmarks and methodology for java code. Another example is power management on x86. Power management is great, but it can take a while for the CPUs to throttle up from low(er) frequencies to full throttle. And while I love "turbo" mode, it makes benchmarking applications with multiple threads a chore as you have to remember to turn it off and then back on otherwise short single-threaded runs may look abnormally fast compared to runs with higher thread counts. In general for performance characterization I disable turbo mode and fix the power governor at "performance" state. Another source of complexity is the scheduler, which I've discussed in prior blog entries. Lets say I have a running application and I want to better understand its behavior and performance. We'll presume it's warmed up, is under load, and is an execution mode representative of what we think the norm would be. It should be in steady-state, if a steady-state mode even exists. On Solaris the very first thing I'll do is take a set of "pstack" samples. Pstack briefly stops the process and walks each of the stacks, reporting symbolic information (if available) for each frame. For Java, pstack has been augmented to understand java frames, and even report inlining. A few pstack samples can provide powerful insight into what's actually going on inside the program. You'll be able to see calling patterns, which threads are blocked on what system calls or synchronization constructs, memory allocation, etc. If your code is CPU-bound then you'll get a good sense where the cycles are being spent. (I should caution that normal C/C++ inlining can diffuse an otherwise "hot" method into other methods. This is a rare instance where pstack sampling might not immediately point to the key problem). At this point you'll need to reconcile what you're seeing with pstack and your mental model of what you think the program should be doing. They're often rather different. And generally if there's a key performance issue, you'll spot it with a moderate number of samples. I'll also use OS-level observability tools to lock for the existence of bottlenecks where threads contend for locks; other situations where threads are blocked; and the distribution of threads over the system. On Solaris some good tools are mpstat and too a lesser degree, vmstat. Try running "mpstat -a 5" in one window while the application program runs concurrently. One key measure is the voluntary context switch rate "vctx" or "csw" which reflects threads descheduling themselves. It's also good to look at the user; system; and idle CPU percentages. This can give a broad but useful understanding if your threads are mostly parked or mostly running. For instance if your program makes heavy use of malloc/free, then it might be the case you're contending on the central malloc lock in the default allocator. In that case you'd see malloc calling lock in the stack traces, observe a high csw/vctx rate as threads block for the malloc lock, and your "usr" time would be less than expected. Solaris dtrace is a wonderful and invaluable performance tool as well, but in a sense you have to frame and articulate a meaningful and specific question to get a useful answer, so I tend not to use it for first-order screening of problems. It's also most effective for OS and software-level performance issues as opposed to HW-level issues. For that reason I recommend mpstat & pstack as my the 1st step in performance triage. If some other OS-level issue is evident then it's good to switch to dtrace to drill more deeply into the problem. Only after I've ruled out OS-level issues do I switch to using hardware performance counters to look for architectural impediments.

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• Quadratic Programming with Oracle R Enterprise

  - by Jeff Taylor-Oracle

       I wanted to use quadprog with ORE on a server running Oracle Solaris 11.2 on a Oracle SPARC T-4 server For background, see: Oracle SPARC T4-2 http://docs.oracle.com/cd/E23075_01/ Oracle Solaris 11.2 http://www.oracle.com/technetwork/server-storage/solaris11/overview/index.html quadprog: Functions to solve Quadratic Programming Problems http://cran.r-project.org/web/packages/quadprog/index.html Oracle R Enterprise 1.4 ("ORE") 1.4 http://www.oracle.com/technetwork/database/options/advanced-analytics/r-enterprise/ore-downloads-1502823.html Problem: path to Solaris Studio doesn't match my installation: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c aind.f -o aind.o bash: /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95: No such file or directory *** Error code 1 make: Fatal error: Command failed for target `aind.o' ERROR: compilation failed for package \u2018quadprog\u2019 * removing \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog\u2019 $ ls -l /opt/solarisstudio12.3/bin/f95 lrwxrwxrwx   1 root     root          15 Aug 19 17:36 /opt/solarisstudio12.3/bin/f95 -> ../prod/bin/f90 Solution: a symbolic link: $ sudo mkdir -p /opt/SunProd/studio12u3 $ sudo ln -s /opt/solarisstudio12.3 /opt/SunProd/studio12u3/ Now, it is all good: $ ORE CMD INSTALL quadprog_1.5-5.tar.gz * installing to library \u2018/u01/app/oracle/product/12.1.0/dbhome_1/R/library\u2019 * installing *source* package \u2018quadprog\u2019 ... ** package \u2018quadprog\u2019 successfully unpacked and MD5 sums checked ** libs /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c aind.f -o aind.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -I/usr/lib/64/R/include -DNDEBUG -KPIC  -xlibmieee  -c init.c -o init.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64  -PIC -g  -c -o solve.QP.compact.o solve.QP.compact.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64  -PIC -g  -c -o solve.QP.o solve.QP.f /opt/SunProd/studio12u3/solarisstudio12.3/bin/f95 -m64   -PIC  -g  -c util.f -o util.o /opt/SunProd/studio12u3/solarisstudio12.3/bin/ cc -xc99 -m64 -G -o quadprog.so aind.o init.o solve.QP.compact.o solve.QP.o util.o -xlic_lib=sunperf -lsunmath -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -lifai -lsunimath -lfai -lfai2 -lfsumai -lfprodai -lfminlai -lfmaxlai -lfminvai -lfmaxvai -lfui -lfsu -lsunmath -lmtsk -lm -L/usr/lib/64/R/lib -lR installing to /u01/app/oracle/product/12.1.0/dbhome_1/R/library/quadprog/libs ** R ** preparing package for lazy loading ** help *** installing help indices   converting help for package \u2018quadprog\u2019     finding HTML links ... done     solve.QP                                html      solve.QP.compact                        html  ** building package indices ** testing if installed package can be loaded * DONE (quadprog) ====== Here is an example from http://cran.r-project.org/web/packages/quadprog/quadprog.pdf > require(quadprog) > Dmat <- matrix(0,3,3) > diag(Dmat) <- 1 > dvec <- c(0,5,0) > Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3) > bvec <- c(-8,2,0) > solve.QP(Dmat,dvec,Amat,bvec=bvec) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Here, the standard example is modified to work with Oracle R Enterprise require(ORE) ore.connect("my-name", "my-sid", "my-host", "my-pass", 1521) ore.doEval(   function () {     require(quadprog)   } ) ore.doEval(   function () {     Dmat <- matrix(0,3,3)     diag(Dmat) <- 1     dvec <- c(0,5,0)     Amat <- matrix(c(-4,-3,0,2,1,0,0,-2,1),3,3)     bvec <- c(-8,2,0)    solve.QP(Dmat,dvec,Amat,bvec=bvec)   } ) $solution [1] 0.4761905 1.0476190 2.0952381 $value [1] -2.380952 $unconstrained.solution [1] 0 5 0 $iterations [1] 3 0 $Lagrangian [1] 0.0000000 0.2380952 2.0952381 $iact [1] 3 2 Now I can combine the quadprog compute algorithms with the Oracle R Enterprise Database engine functionality: Scale to large datasets Access to tables, views, and external tables in the database, as well as those accessible through database links Use SQL query parallel execution Use in-database statistical and data mining functionality

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• C#: System.Collections.Concurrent.ConcurrentQueue vs. Queue

  - by James Michael Hare

  I love new toys, so of course when .NET 4.0 came out I felt like the proverbial kid in the candy store!  Now, some people get all excited about the IDE and it’s new features or about changes to WPF and Silver Light and yes, those are all very fine and grand.  But me, I get all excited about things that tend to affect my life on the backside of development.  That’s why when I heard there were going to be concurrent container implementations in the latest version of .NET I was salivating like Pavlov’s dog at the dinner bell. They seem so simple, really, that one could easily overlook them.  Essentially they are implementations of containers (many that mirror the generic collections, others are new) that have either been optimized with very efficient, limited, or no locking but are still completely thread safe -- and I just had to see what kind of an improvement that would translate into. Since part of my job as a solutions architect here where I work is to help design, develop, and maintain the systems that process tons of requests each second, the thought of extremely efficient thread-safe containers was extremely appealing.  Of course, they also rolled out a whole parallel development framework which I won’t get into in this post but will cover bits and pieces of as time goes by. This time, I was mainly curious as to how well these new concurrent containers would perform compared to areas in our code where we manually synchronize them using lock or some other mechanism.  So I set about to run a processing test with a series of producers and consumers that would be either processing a traditional System.Collections.Generic.Queue or a System.Collection.Concurrent.ConcurrentQueue. Now, I wanted to keep the code as common as possible to make sure that the only variance was the container, so I created a test Producer and a test Consumer.  The test Producer takes an Action<string> delegate which is responsible for taking a string and placing it on whichever queue we’re testing in a thread-safe manner: 1: internal class Producer 2: { 3: public int Iterations { get; set; } 4: public Action<string> ProduceDelegate { get; set; } 5: 6: public void Produce() 7: { 8: for (int i = 0; i < Iterations; i++) 9: { 10: ProduceDelegate(“Hello”); 11: } 12: } 13: } Then likewise, I created a consumer that took a Func<string> that would read from whichever queue we’re testing and return either the string if data exists or null if not.  Then, if the item doesn’t exist, it will do a 10 ms wait before testing again.  Once all the producers are done and join the main thread, a flag will be set in each of the consumers to tell them once the queue is empty they can shut down since no other data is coming: 1: internal class Consumer 2: { 3: public Func<string> ConsumeDelegate { get; set; } 4: public bool HaltWhenEmpty { get; set; } 5: 6: public void Consume() 7: { 8: bool processing = true; 9: 10: while (processing) 11: { 12: string result = ConsumeDelegate(); 13: 14: if(result == null) 15: { 16: if (HaltWhenEmpty) 17: { 18: processing = false; 19: } 20: else 21: { 22: Thread.Sleep(TimeSpan.FromMilliseconds(10)); 23: } 24: } 25: else 26: { 27: DoWork(); // do something non-trivial so consumers lag behind a bit 28: } 29: } 30: } 31: } Okay, now that we’ve done that, we can launch threads of varying numbers using lambdas for each different method of production/consumption.  First let's look at the lambdas for a typical System.Collections.Generics.Queue with locking: 1: // lambda for putting to typical Queue with locking... 2: var productionDelegate = s => 3: { 4: lock (_mutex) 5: { 6: _mutexQueue.Enqueue(s); 7: } 8: }; 9:  10: // and lambda for typical getting from Queue with locking... 11: var consumptionDelegate = () => 12: { 13: lock (_mutex) 14: { 15: if (_mutexQueue.Count > 0) 16: { 17: return _mutexQueue.Dequeue(); 18: } 19: } 20: return null; 21: }; Nothing new or interesting here.  Just typical locks on an internal object instance.  Now let's look at using a ConcurrentQueue from the System.Collections.Concurrent library: 1: // lambda for putting to a ConcurrentQueue, notice it needs no locking! 2: var productionDelegate = s => 3: { 4: _concurrentQueue.Enqueue(s); 5: }; 6:  7: // lambda for getting from a ConcurrentQueue, once again, no locking required. 8: var consumptionDelegate = () => 9: { 10: string s; 11: return _concurrentQueue.TryDequeue(out s) ? s : null; 12: }; So I pass each of these lambdas and the number of producer and consumers threads to launch and take a look at the timing results.  Basically I’m timing from the time all threads start and begin producing/consuming to the time that all threads rejoin.  I won't bore you with the test code, basically it just launches code that creates the producers and consumers and launches them in their own threads, then waits for them all to rejoin.  The following are the timings from the start of all threads to the Join() on all threads completing.  The producers create 10,000,000 items evenly between themselves and then when all producers are done they trigger the consumers to stop once the queue is empty. These are the results in milliseconds from the ordinary Queue with locking: 1: Consumers Producers 1 2 3 Time (ms) 2: ---------- ---------- ------ ------ ------ --------- 3: 1 1 4284 5153 4226 4554.33 4: 10 10 4044 3831 5010 4295.00 5: 100 100 5497 5378 5612 5495.67 6: 1000 1000 24234 25409 27160 25601.00 And the following are the results in milliseconds from the ConcurrentQueue with no locking necessary: 1: Consumers Producers 1 2 3 Time (ms) 2: ---------- ---------- ------ ------ ------ --------- 3: 1 1 3647 3643 3718 3669.33 4: 10 10 2311 2136 2142 2196.33 5: 100 100 2480 2416 2190 2362.00 6: 1000 1000 7289 6897 7061 7082.33 Note that even though obviously 2000 threads is quite extreme, the concurrent queue actually scales really well, whereas the traditional queue with simple locking scales much more poorly. I love the new concurrent collections, they look so much simpler without littering your code with the locking logic, and they perform much better.  All in all, a great new toy to add to your arsenal of multi-threaded processing!

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• Windows Azure Management Tool (MMC)

  - by kaleidoscope

  The Windows Azure Management Tool was created to manage your storage accounts in Windows Azure. Developed as a managed MMC, the tool allows you to create and manage both blobs and queues. Easily create and manage containers, blobs, and permissions. Ram, P

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• Inversion of Control Resource

  - by MarkPearl

  Well… this is going to be another really short blog posting. I have been meaning to read more about IOC containers and came across this blog post which seemed to really explain the concept well – based on Castle Windsor. I also  enjoyed reading the replies about IOC on stack overflow and what it meant. If anyone knows of other good articles that explain the basics really well – wont you comment them to me.

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• Backup Azure Tables, schedule Azure scripts&hellip; and more

  - by Herve Roggero

  Well – months of effort are now officially over… or should I say it’s just the beginning?   Enzo Cloud Backup 2.0 (beta) is now officially out!!! This tool will let you do the following: * Backup SQL Database (and SQL Server to a limited extend) * Backup Azure Tables * Restore SQL Backups into another SQL environment * Restore Azure Tables in Azure Storage, or SQL Environment * Manage and schedule database maintenance scripts * Drop database schema containers (with preview) for SaaS environments * Receive alerts (SMTP) when operations complete or fail That’s it at a high level… but you need to see the flexibility around these features. For example you can select a specific backup strategy for Azure Tables allowing faster backup operations when partition keys use GUIDs. You can also call custom stored procedures during the restore operation of Azure Tables, allowing you to transform the data along the way. You can also set a performance threshold during Azure Table backup operations to help you control possible throttling conditions in your Storage Account. Regarding database scripts, you can now define T-SQL scripts and schedule them for execution in a specific order. You can also tell Enzo to execute a pre and post script during Azure Table restore operations against a SQL environment. The backup operation now supports backing up to multiple devices at the same time. So you can execute a backup request to both a local file, and a blob at the same time, guaranteeing that both will contain the exact same data. And due to the level of options that are available, you can save backup definitions for later reuse. The screenshot below backs up Azure Tables to two devices (a blob and a SQL Database). You can also manage your database schemas for SaaS environments that use schema containers to separate customer data. This new edition allows you to see how many objects you have in each schema, backup specific schemas, and even drop all objects in a given schema. For example the screenshot below shows that the EnzoLog database has 4 user-defined schemas, and the AFA schema has 5 tables and 1 module (stored proc, function, view…). Selecting the AFA schema and trying to delete it will prompt another screen to show which objects will be deleted. As you can see, Enzo Cloud Backup provides amazing capabilities that can help you safeguard your data in SQL Database and Azure Tables, and give you advanced management functions for your Azure environment. Download a free trial today at http://www.bluesyntax.net.

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• Archbeat Link-O-Rama Top 10 Facebook Faves - June 23-29, 2013

  - by Bob Rhubart

  2,947 people now follow OTN ArchBeat on Facebook. Here are the Top 10 items shared on that page for June 23-29, 2013. Podcast Show Notes: DevOps, Cloud, and Role Creep After some confusion (my bad) all three CORRECT parts of this podcast are now available. The panelists for this discussion are all Oracle ACE Directors: Ron Batra, Basheer Khan, and Cary Millsap. SOA Suite 11g Developers Cookbook Published | Antony Reynolds "The book focuses on areas that we felt we had neglected in the Developers Guide, says co-author Antony Reynolds. "There is more about Java integration and OSB, both of which we see a lot of questions about when working with customers." Using Oracle TimesTen With Oracle BI Applications (Part 2) | Peter Scott Peter Scott follows up an earlier post with a look at some of the OBIA structures and a discussion of some of the features of TimesTen. Linux-Containers — Part 1: Overview | Lenz Grimmer OTN Garage blogger Lenz Grimmer kicks off a series and expands your mind with deep detail on Linux Containers Slides from my ODTUG Kscope13 Presentation | Zeeshan Baig Oracle ACE Zeeshan Baig shares the slides from his KScope13 presentation, "Build Your Business Services Using ADF Task Flows." Fun with Enterprise Manager | Rene van Wijk Oracle ACE Rene van Wijk shares some background and some tuning and other tech tips for working with Oracle Enterprise Manager. Using VirtualBox to test drive Windows Blue | The Fat Bloke The Fat Bloke shares a tech tip for those interested in giving Windows Blue a try on Virtual Box. Podcast Show Notes: The Fusion Middleware A-Team and the Chronicles of Architecture In this three-part series Oracle Fusion Middleware A-Team members Jennifer Briscoe, Clifford Musante, Mikael Ottosson, and Pardha Reddy talk about the origins and mission of the FMW A-Team and about the great technical content you'll find on the recently launched Oracle A-Team blog. Part one is now available. 5 Best Practices - Laying the Foundation for WebCenter Projects | John Brunswick Oracle WebCenter expert John Brunswick shares best practices that "enable the creation of portal solutions with minimal resource overhead, while offering the greatest flexibility for progressive elaboration." Oracle Magazine - July/Aug 2013 The digital edition of the July/August edition of Oracle Magazine is now available. This issue includes my architect community column, "The CX Factor." which features insight from community members on "why and how CX has become a significant factor in enterprise IT." h

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• Auto Mocking using JustMock

  - by mehfuzh

  Auto mocking containers are designed to reduce the friction of keeping unit test beds in sync with the code being tested as systems are updated and evolve over time. This is one sentence how you define auto mocking. Of course this is a more or less formal. In a more informal way auto mocking containers are nothing but a tool to keep your tests synced so that you don’t have to go back and change tests every time you add a new dependency to your SUT or System Under Test. In Q3 2012 JustMock is shipped with built in auto mocking container. This will help developers to have all the existing fun they are having with JustMock plus they can now mock object with dependencies in a more elegant way and without needing to do the homework of managing the graph. If you are not familiar with auto mocking then I won't go ahead and educate you rather ask you to do so from contents that is already made available out there from community as this is way beyond the scope of this post. Moving forward, getting started with Justmock auto mocking is pretty simple. First, I have to reference Telerik.JustMock.Container.DLL from the installation folder along with Telerik.JustMock.DLL (of course) that it uses internally and next I will write my tests with mocking container. It's that simple! In this post first I will mock the target with dependencies using current method and going forward do the same with auto mocking container. In short the sample is all about a report builder that will go through all the existing reports, send email and log any exception in that process. This is somewhat my  report builder class looks like: Reporter class depends on the following interfaces: IReporBuilder: used to  create and get the available reports IReportSender: used to send the reports ILogger: used to log any exception. Now, if I just write the test without using an auto mocking container it might end up something like this: Now, it looks fine. However, the only issue is that I am creating the mock of each dependency that is sort of a grunt work and if you have ever changing list of dependencies then it becomes really hard to keep the tests in sync. The typical example is your ASP.NET MVC controller where the number of service dependencies grows along with the project. The same test if written with auto mocking container would look like: Here few things to observe: I didn't created mock for each dependencies There is no extra step creating the Reporter class and sending in the dependencies Since ILogger is not required for the purpose of this test therefore I can be completely ignorant of it. How cool is that ? Auto mocking in JustMock is just released and we also want to extend it even further using profiler that will let me resolve not just interfaces but concrete classes as well. But that of course starts the debate of code smell vs. working with legacy code. Feel free to send in your expert opinion in that regard using one of telerik’s official channels. Hope that helps

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• Tab Sweep: CDI Tutorial, Vertical Clustering, Monitoring, Vorpal, SPARC T4, ...

  - by arungupta

  Recent Tips and News on Java, Java EE 6, GlassFish & more : • Tutorial - Introduction to CDI - Contexts and Dependency Injection for Java EE (JSR 299) (Mark Struberg, Peter Muir) • Clustering with Glassfish 3.1 (Javing) • Two Way Communication in JMS (Lukasz Budnik) • Glassfish – Vertical clustering with multiple domains (Alexandru Ersenie) • Setting up Glassfish Monitoring – handling connection problems (Jacek Milewski) • Screencast: Developing Discoverable XMPP Components with Vorpal (Chuk Munn Lee) • Java EE Application Servers, SPARC T4, Solaris Containers, and Resource Pools (Jeff Taylor)

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• My Package Version Number Appears Greater Yet apt-get Doesn't Select It

  - by nutznboltz

  Backstory: It was determined that when using lxc container VMs the Nagios nrpe shutdown script when run on the host of the containers would kill the nrpe processes inside the containers. This was remediated by changing the script to use pidfiles instead of searching the process table for the nrpe process. Regrettably start-stop-daemon is a C program that resulted from translating a Perl script and it shows. There are far too many global varibles in start-stop-daemon.c and although there are some nice blocks of comments there are far to few comments that explain the intent behind variable names such as "schedule" (the string "schedule" appears in many contexts.) The manual page for start-stop-daemon strongly suggests that unless you use the "--retry" option the start-stop-daemon program may return before the process it sent a signal to actually calls exit() and terminates, however it doesn't actually state this in plain English. The obtuseness of start-stop-daemon is most likely the reason that the "fixed" version of the script includes a dubious comment indicating that sometimes the pid file has not been removed. I can easily see why someone would not understand that he left the --retry option missing. This bug also causes failures when the script is given the "restart" option; the nrpe daemon will shutdown but not start up again. Did I mention that since applying the update our nrpe servers started crashing over and over? Repairing this is why I am doing this work. I have been working on remediating the fix. You can see my current work in this PPA. Actual Question: The upstream version number of nagios-nrpe-server in lucid-updates is 2.12-4ubuntu1.10.04.1 My PPA uses this version number 2.12-4ubuntu1.10.04.1.1~ppa1~lucid1 I check the rules here and use this test program and I am lead to believe that the version number I use in my PPA is greater than the one in lucid-updates yet when I ran: sudo add-apt-repository ppa:nutznboltz/nrpe-unbreak-lp-600941 sudo apt-get update sudo aptitiude dist-upgrade The replacement package was not installed. I was able to install it using sudo aptitude install nagios-nrpe-server=2.12-4ubuntu1.10.04.1.1~ppa1~lucid1 Can anyone explain this behavior? Why didn't my version number appear greater to "aptitude dist-upgrade"? Thanks $ cat /etc/apt/preferences Package: * Pin: release a=lucid-backports Pin-Priority: 400 Package: * Pin: release a=lucid-security Pin-Priority: 990 Package: * Pin: release a=lucid-updates Pin-Priority: 900 Package: * Pin: release a=lucid-proposed Pin-Priority: 400 $ ls /etc/apt/preferences.d/ $ Should not make any difference as a PPA cannot be in any of those pockets. I went ahead and bumped the version number in the PPA to 2.12-4ubuntu1.10.04.2~ppa1~lucid1. I'll see if that makes a difference. I do notice that lintian complains: W: nagios-nrpe-server: debian-revision-not-well-formed 2.12-4ubuntu1.10.04.2~ppa1~lucid1

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• OpenSocial 1.0 spec published

  With so many different types of websites adopting OpenSocial it has become clear that a "one size fits all" approach isn't appropriate for the OpenSocial spec. Containers have...

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• How is dependency inversion related to higher order functions?

  - by Gulshan

  Today I've just seen this article which described the relevance of SOLID principle in F# development- F# and Design principles – SOLID And while addressing the last one - "Dependency inversion principle", the author said: From a functional point of view, these containers and injection concepts can be solved with a simple higher order function, or hole-in-the-middle type pattern which are built right into the language. But he didn't explain it further. So, my question is, how is the dependency inversion related to higher order functions?

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• WPF: How to get the bounds of a control in an automatic layout container, in the container coordinate space

  - by Bart Read

  Googling this the other day, I started to get the impression that this might be annoyingly tricky. You might wonder why this is necessary at all, given that WPF implements layout for you in most cases (except for containers such as Canvas), but trust me, if you're developing custom elements, at some point you're probably going to need it. If you're adding controls to a Canvas you can always use the attached Left, Right, etc., properties to get the bounds. Fortunately it's really no more difficult...(read more)

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• Resources relating to Java EE and Scala

  - by Ant Kutschera

  Are there any good sites / blogs / books / articles on using Java EE together with Scala? Or indeed articles saying that it should not be done. Many Scala resources talk about using Akka and Lift. Akka solves a different domain problem than Java EE. I don't know Lift, but I assume its geared towards the web end of Java EE and doesn't replace app server containers which provide transactions, security, scalability, resource management, reliability, etc. (all those things which Java EE markets itself as being good at).

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• Is the STL efficient enough for mobile devices?

  - by mx2

  When it comes to mobile game development on iOS and Android NDK, some developers write their own C++ containers, while others claim that STL is more than adequate for mobile game development (For example, the author of iPhone 3D Programming uses STL rather than Objective-C in his examples. His defense is that STL is no slower than Objective-C). Then there are also mobile developers who abandon C++ entirely and develop games entirely (or mostly) in the C language (C89/C90). What are the benefits and drawbacks of each approach?

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