Search Results

Search found 11685 results on 468 pages for 'intel core i3'.

Page 245/468 | < Previous Page | 241 242 243 244 245 246 247 248 249 250 251 252  | Next Page >

  • GlassFish Community Event and Party at JavaOne 2011 - Oct 2, 2011

    - by arungupta
    As in the previous years (2010, 2009, 2008 (more), and 2007), the GlassFish community event and party are getting planned along with JavaOne 2011 as well. Here are the coordinates for the community event: Date: Sunday, October 2nd, 2011 Time: 12:30pm - 4:30pm Venue: Moscone West The party will be held at the regular venue of The Thirsty Bear. This is your chance to meet the core members of engineering, product management, executive management, and rest of the team. This is your (yet another) chance to voice your opinion and be heard. There will be community updates, customer testimonials, unconference, and fun activities too. Stay tuned for more details. Here are some pictures from the yesteryears: A conference badge will be required to attend the community event but the party will be open to all friends of GlassFish. So if you are in town, plan to stop by at the community event and/or the party. Stay tuned for RSVP details. Its going to be lot of fun!

    Read the article

  • GlassFish Community Event and Party at JavaOne 2011 - Oct 2, 2011

    - by arungupta
    As in the previous years (2010, 2009, 2008 (more), and 2007), the GlassFish community event and party are getting planned along with JavaOne 2011 as well. Here are the coordinates for the community event: Date: Sunday, October 2nd, 2011 Time: 12:30pm - 4:30pm Venue: Moscone West The party will be held at the regular venue of The Thirsty Bear. This is your chance to meet the core members of engineering, product management, executive management, and rest of the team. This is your (yet another) chance to voice your opinion and be heard. There will be community updates, customer testimonials, unconference, and fun activities too. Stay tuned for more details. Here are some pictures from the yesteryears: A conference badge will be required to attend the community event but the party will be open to all friends of GlassFish. So if you are in town, plan to stop by at the community event and/or the party. Stay tuned for RSVP details. Its going to be lot of fun!

    Read the article

  • ANTS CLR and Memory Profiler In Depth Review (Part 1 of 2 &ndash; CLR Profiler)

    - by ToStringTheory
    One of the things that people might not know about me, is my obsession to make my code as efficient as possible.  Many people might not realize how much of a task or undertaking that this might be, but it is surely a task as monumental as climbing Mount Everest, except this time it is a challenge for the mind…  In trying to make code efficient, there are many different factors that play a part – size of project or solution, tiers, language used, experience and training of the programmer, technologies used, maintainability of the code – the list can go on for quite some time. I spend quite a bit of time when developing trying to determine what is the best way to implement a feature to accomplish the efficiency that I look to achieve.  One program that I have recently come to learn about – Red Gate ANTS Performance (CLR) and Memory profiler gives me tools to accomplish that job more efficiently as well.  In this review, I am going to cover some of the features of the ANTS profiler set by compiling some hideous example code to test against. Notice As a member of the Geeks With Blogs Influencers program, one of the perks is the ability to review products, in exchange for a free license to the program.  I have not let this affect my opinions of the product in any way, and Red Gate nor Geeks With Blogs has tried to influence my opinion regarding this product in any way. Introduction The ANTS Profiler pack provided by Red Gate was something that I had not heard of before receiving an email regarding an offer to review it for a license.  Since I look to make my code efficient, it was a no brainer for me to try it out!  One thing that I have to say took me by surprise is that upon downloading the program and installing it you fill out a form for your usual contact information.  Sure enough within 2 hours, I received an email from a sales representative at Red Gate asking if she could help me to achieve the most out of my trial time so it wouldn’t go to waste.  After replying to her and explaining that I was looking to review its feature set, she put me in contact with someone that setup a demo session to give me a quick rundown of its features via an online meeting.  After having dealt with a massive ordeal with one of my utility companies and their complete lack of customer service, Red Gates friendly and helpful representatives were a breath of fresh air, and something I was thankful for. ANTS CLR Profiler The ANTS CLR profiler is the thing I want to focus on the most in this post, so I am going to dive right in now. Install was simple and took no time at all.  It installed both the profiler for the CLR and Memory, but also visual studio extensions to facilitate the usage of the profilers (click any images for full size images): The Visual Studio menu options (under ANTS menu) Starting the CLR Performance Profiler from the start menu yields this window If you follow the instructions after launching the program from the start menu (Click File > New Profiling Session to start a new project), you are given a dialog with plenty of options for profiling: The New Session dialog.  Lots of options.  One thing I noticed is that the buttons in the lower right were half-covered by the panel of the application.  If I had to guess, I would imagine that this is caused by my DPI settings being set to 125%.  This is a problem I have seen in other applications as well that don’t scale well to different dpi scales. The profiler options give you the ability to profile: .NET Executable ASP.NET web application (hosted in IIS) ASP.NET web application (hosted in IIS express) ASP.NET web application (hosted in Cassini Web Development Server) SharePoint web application (hosted in IIS) Silverlight 4+ application Windows Service COM+ server XBAP (local XAML browser application) Attach to an already running .NET 4 process Choosing each option provides a varying set of other variables/options that one can set including options such as application arguments, operating path, record I/O performance performance counters to record (43 counters in all!), etc…  All in all, they give you the ability to profile many different .Net project types, and make it simple to do so.  In most cases of my using this application, I would be using the built in Visual Studio extensions, as they automatically start a new profiling project in ANTS with the options setup, and start your program, however RedGate has made it easy enough to profile outside of Visual Studio as well. On the flip side of this, as someone who lives most of their work life in Visual Studio, one thing I do wish is that instead of opening an entirely separate application/gui to perform profiling after launching, that instead they would provide a Visual Studio panel with the information, and integrate more of the profiling project information into Visual Studio.  So, now that we have an idea of what options that the profiler gives us, its time to test its abilities and features. Horrendous Example Code – Prime Number Generator One of my interests besides development, is Physics and Math – what I went to college for.  I have especially always been interested in prime numbers, as they are something of a mystery…  So, I decided that I would go ahead and to test the abilities of the profiler, I would write a small program, website, and library to generate prime numbers in the quantity that you ask for.  I am going to start off with some terrible code, and show how I would see the profiler being used as a development tool. First off, the IPrimes interface (all code is downloadable at the end of the post): interface IPrimes { IEnumerable<int> GetPrimes(int retrieve); } Simple enough, right?  Anything that implements the interface will (hopefully) provide an IEnumerable of int, with the quantity specified in the parameter argument.  Next, I am going to implement this interface in the most basic way: public class DumbPrimes : IPrimes { public IEnumerable<int> GetPrimes(int retrieve) { //store a list of primes already found var _foundPrimes = new List<int>() { 2, 3 }; //if i ask for 1 or two primes, return what asked for if (retrieve <= _foundPrimes.Count()) return _foundPrimes.Take(retrieve); //the next number to look at int _analyzing = 4; //since I already determined I don't have enough //execute at least once, and until quantity is sufficed do { //assume prime until otherwise determined bool isPrime = true; //start dividing at 2 //divide until number is reached, or determined not prime for (int i = 2; i < _analyzing && isPrime; i++) { //if (i) goes into _analyzing without a remainder, //_analyzing is NOT prime if (_analyzing % i == 0) isPrime = false; } //if it is prime, add to found list if (isPrime) _foundPrimes.Add(_analyzing); //increment number to analyze next _analyzing++; } while (_foundPrimes.Count() < retrieve); return _foundPrimes; } } This is the simplest way to get primes in my opinion.  Checking each number by the straight definition of a prime – is it divisible by anything besides 1 and itself. I have included this code in a base class library for my solution, as I am going to use it to demonstrate a couple of features of ANTS.  This class library is consumed by a simple non-MVVM WPF application, and a simple MVC4 website.  I will not post the WPF code here inline, as it is simply an ObservableCollection<int>, a label, two textbox’s, and a button. Starting a new Profiling Session So, in Visual Studio, I have just completed my first stint developing the GUI and DumbPrimes IPrimes class, so now I want to check my codes efficiency by profiling it.  All I have to do is build the solution (surprised initiating a profiling session doesn’t do this, but I suppose I can understand it), and then click the ANTS menu, followed by Profile Performance.  I am then greeted by the profiler starting up and already monitoring my program live: You are provided with a realtime graph at the top, and a pane at the bottom giving you information on how to proceed.  I am going to start by asking my program to show me the first 15000 primes: After the program finally began responding again (I did all the work on the main UI thread – how bad!), I stopped the profiler, which did kill the process of my program too.  One important thing to note, is that the profiler by default wants to give you a lot of detail about the operation – line hit counts, time per line, percent time per line, etc…  The important thing to remember is that this itself takes a lot of time.  When running my program without the profiler attached, it can generate the 15000 primes in 5.18 seconds, compared to 74.5 seconds – almost a 1500 percent increase.  While this may seem like a lot, remember that there is a trade off.  It may be WAY more inefficient, however, I am able to drill down and make improvements to specific problem areas, and then decrease execution time all around. Analyzing the Profiling Session After clicking ‘Stop Profiling’, the process running my application stopped, and the entire execution time was automatically selected by ANTS, and the results shown below: Now there are a number of interesting things going on here, I am going to cover each in a section of its own: Real Time Performance Counter Bar (top of screen) At the top of the screen, is the real time performance bar.  As your application is running, this will constantly update with the currently selected performance counters status.  A couple of cool things to note are the fact that you can drag a selection around specific time periods to drill down the detail views in the lower 2 panels to information pertaining to only that period. After selecting a time period, you can bookmark a section and name it, so that it is easy to find later, or after reloaded at a later time.  You can also zoom in, out, or fit the graph to the space provided – useful for drilling down. It may be hard to see, but at the top of the processor time graph below the time ticks, but above the red usage graph, there is a green bar. This bar shows at what times a method that is selected in the ‘Call tree’ panel is called. Very cool to be able to click on a method and see at what times it made an impact. As I said before, ANTS provides 43 different performance counters you can hook into.  Click the arrow next to the Performance tab at the top will allow you to change between different counters if you have them selected: Method Call Tree, ADO.Net Database Calls, File IO – Detail Panel Red Gate really hit the mark here I think. When you select a section of the run with the graph, the call tree populates to fill a hierarchical tree of method calls, with information regarding each of the methods.   By default, methods are hidden where the source is not provided (framework type code), however, Red Gate has integrated Reflector into ANTS, so even if you don’t have source for something, you can select a method and get the source if you want.  Methods are also hidden where the impact is seen as insignificant – methods that are only executed for 1% of the time of the overall calling methods time; in other words, working on making them better is not where your efforts should be focused. – Smart! Source Panel – Detail Panel The source panel is where you can see line level information on your code, showing the code for the currently selected method from the Method Call Tree.  If the code is not available, Reflector takes care of it and shows the code anyways! As you can notice, there does seem to be a problem with how ANTS determines what line is the actual line that a call is completed on.  I have suspicions that this may be due to some of the inline code optimizations that the CLR applies upon compilation of the assembly.  In a method with comments, the problem is much more severe: As you can see here, apparently the most offending code in my base library was a comment – *gasp*!  Removing the comments does help quite a bit, however I hope that Red Gate works on their counter algorithm soon to improve the logic on positioning for statistics: I did a small test just to demonstrate the lines are correct without comments. For me, it isn’t a deal breaker, as I can usually determine the correct placements by looking at the application code in the region and determining what makes sense, but it is something that would probably build up some irritation with time. Feature – Suggest Method for Optimization A neat feature to really help those in need of a pointer, is the menu option under tools to automatically suggest methods to optimize/improve: Nice feature – clicking it filters the call tree and stars methods that it thinks are good candidates for optimization.  I do wish that they would have made it more visible for those of use who aren’t great on sight: Process Integration I do think that this could have a place in my process.  After experimenting with the profiler, I do think it would be a great benefit to do some development, testing, and then after all the bugs are worked out, use the profiler to check on things to make sure nothing seems like it is hogging more than its fair share.  For example, with this program, I would have developed it, ran it, tested it – it works, but slowly. After looking at the profiler, and seeing the massive amount of time spent in 1 method, I might go ahead and try to re-implement IPrimes (I actually would probably rewrite the offending code, but so that I can distribute both sets of code easily, I’m just going to make another implementation of IPrimes).  Using two pieces of knowledge about prime numbers can make this method MUCH more efficient – prime numbers fall into two buckets 6k+/-1 , and a number is prime if it is not divisible by any other primes before it: public class SmartPrimes : IPrimes { public IEnumerable<int> GetPrimes(int retrieve) { //store a list of primes already found var _foundPrimes = new List<int>() { 2, 3 }; //if i ask for 1 or two primes, return what asked for if (retrieve <= _foundPrimes.Count()) return _foundPrimes.Take(retrieve); //the next number to look at int _k = 1; //since I already determined I don't have enough //execute at least once, and until quantity is sufficed do { //assume prime until otherwise determined bool isPrime = true; int potentialPrime; //analyze 6k-1 //assign the value to potential potentialPrime = 6 * _k - 1; //if there are any primes that divise this, it is NOT a prime number //using PLINQ for quick boost isPrime = !_foundPrimes.AsParallel() .Any(prime => potentialPrime % prime == 0); //if it is prime, add to found list if (isPrime) _foundPrimes.Add(potentialPrime); if (_foundPrimes.Count() == retrieve) break; //analyze 6k+1 //assign the value to potential potentialPrime = 6 * _k + 1; //if there are any primes that divise this, it is NOT a prime number //using PLINQ for quick boost isPrime = !_foundPrimes.AsParallel() .Any(prime => potentialPrime % prime == 0); //if it is prime, add to found list if (isPrime) _foundPrimes.Add(potentialPrime); //increment k to analyze next _k++; } while (_foundPrimes.Count() < retrieve); return _foundPrimes; } } Now there are definitely more things I can do to help make this more efficient, but for the scope of this example, I think this is fine (but still hideous)! Profiling this now yields a happy surprise 27 seconds to generate the 15000 primes with the profiler attached, and only 1.43 seconds without.  One important thing I wanted to call out though was the performance graph now: Notice anything odd?  The %Processor time is above 100%.  This is because there is now more than 1 core in the operation.  A better label for the chart in my mind would have been %Core time, but to each their own. Another odd thing I noticed was that the profiler seemed to be spot on this time in my DumbPrimes class with line details in source, even with comments..  Odd. Profiling Web Applications The last thing that I wanted to cover, that means a lot to me as a web developer, is the great amount of work that Red Gate put into the profiler when profiling web applications.  In my solution, I have a simple MVC4 application setup with 1 page, a single input form, that will output prime values as my WPF app did.  Launching the profiler from Visual Studio as before, nothing is really different in the profiler window, however I did receive a UAC prompt for a Red Gate helper app to integrate with the web server without notification. After requesting 500, 1000, 2000, and 5000 primes, and looking at the profiler session, things are slightly different from before: As you can see, there are 4 spikes of activity in the processor time graph, but there is also something new in the call tree: That’s right – ANTS will actually group method calls by get/post operations, so it is easier to find out what action/page is giving the largest problems…  Pretty cool in my mind! Overview Overall, I think that Red Gate ANTS CLR Profiler has a lot to offer, however I think it also has a long ways to go.  3 Biggest Pros: Ability to easily drill down from time graph, to method calls, to source code Wide variety of counters to choose from when profiling your application Excellent integration/grouping of methods being called from web applications by request – BRILLIANT! 3 Biggest Cons: Issue regarding line details in source view Nit pick – Processor time vs. Core time Nit pick – Lack of full integration with Visual Studio Ratings Ease of Use (7/10) – I marked down here because of the problems with the line level details and the extra work that that entails, and the lack of better integration with Visual Studio. Effectiveness (10/10) – I believe that the profiler does EXACTLY what it purports to do.  Especially with its large variety of performance counters, a definite plus! Features (9/10) – Besides the real time performance monitoring, and the drill downs that I’ve shown here, ANTS also has great integration with ADO.Net, with the ability to show database queries run by your application in the profiler.  This, with the line level details, the web request grouping, reflector integration, and various options to customize your profiling session I think create a great set of features! Customer Service (10/10) – My entire experience with Red Gate personnel has been nothing but good.  their people are friendly, helpful, and happy! UI / UX (8/10) – The interface is very easy to get around, and all of the options are easy to find.  With a little bit of poking around, you’ll be optimizing Hello World in no time flat! Overall (8/10) – Overall, I am happy with the Performance Profiler and its features, as well as with the service I received when working with the Red Gate personnel.  I WOULD recommend you trying the application and seeing if it would fit into your process, BUT, remember there are still some kinks in it to hopefully be worked out. My next post will definitely be shorter (hopefully), but thank you for reading up to here, or skipping ahead!  Please, if you do try the product, drop me a message and let me know what you think!  I would love to hear any opinions you may have on the product. Code Feel free to download the code I used above – download via DropBox

    Read the article

  • Google I/O 2010 - Fireside chat with the GWT team

    Google I/O 2010 - Fireside chat with the GWT team Google I/O 2010 - Fireside chat with the GWT team Fireside Chats, GWT Bruce Johnson, Joel Webber, Ray Ryan, Amit Manjhi, Jaime Yap, Kathrin Probst, Eric Ayers, lan Stewart, Christian Dupuis, Chris Ramsdale (moderator) If you're interested in what the GWT team has been up to since 2.0, here's your chance. We'll have several of the core engineers available to discuss the new features and frameworks in GWT, as well as to answer any questions that you might have. For all I/O 2010 sessions, please go to code.google.com From: GoogleDevelopers Views: 140 0 ratings Time: 58:32 More in Science & Technology

    Read the article

  • World Record Batch Rate on Oracle JD Edwards Consolidated Workload with SPARC T4-2

    - by Brian
    Oracle produced a World Record batch throughput for single system results on Oracle's JD Edwards EnterpriseOne Day-in-the-Life benchmark using Oracle's SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2. The workload includes both online and batch workload. The SPARC T4-2 server delivered a result of 8,000 online users while concurrently executing a mix of JD Edwards EnterpriseOne Long and Short batch processes at 95.5 UBEs/min (Universal Batch Engines per minute). In order to obtain this record benchmark result, the JD Edwards EnterpriseOne, Oracle WebLogic and Oracle Database 11g Release 2 servers were executed each in separate Oracle Solaris Containers which enabled optimal system resources distribution and performance together with scalable and manageable virtualization. One SPARC T4-2 server running Oracle Solaris Containers and consolidating JD Edwards EnterpriseOne, Oracle WebLogic servers and the Oracle Database 11g Release 2 utilized only 55% of the available CPU power. The Oracle DB server in a Shared Server configuration allows for optimized CPU resource utilization and significant memory savings on the SPARC T4-2 server without sacrificing performance. This configuration with SPARC T4-2 server has achieved 33% more Users/core, 47% more UBEs/min and 78% more Users/rack unit than the IBM Power 770 server. The SPARC T4-2 server with 2 processors ran the JD Edwards "Day-in-the-Life" benchmark and supported 8,000 concurrent online users while concurrently executing mixed batch workloads at 95.5 UBEs per minute. The IBM Power 770 server with twice as many processors supported only 12,000 concurrent online users while concurrently executing mixed batch workloads at only 65 UBEs per minute. This benchmark demonstrates more than 2x cost savings by consolidating the complete solution in a single SPARC T4-2 server compared to earlier published results of 10,000 users and 67 UBEs per minute on two SPARC T4-2 and SPARC T4-1. The Oracle DB server used mirrored (RAID 1) volumes for the database providing high availability for the data without impacting performance. Performance Landscape JD Edwards EnterpriseOne Day in the Life (DIL) Benchmark Consolidated Online with Batch Workload System Rack Units BatchRate(UBEs/m) Online Users Users /Units Users /Core Version SPARC T4-2 (2 x SPARC T4, 2.85 GHz) 3 95.5 8,000 2,667 500 9.0.2 IBM Power 770 (4 x POWER7, 3.3 GHz, 32 cores) 8 65 12,000 1,500 375 9.0.2 Batch Rate (UBEs/m) — Batch transaction rate in UBEs per minute Configuration Summary Hardware Configuration: 1 x SPARC T4-2 server with 2 x SPARC T4 processors, 2.85 GHz 256 GB memory 4 x 300 GB 10K RPM SAS internal disk 2 x 300 GB internal SSD 2 x Sun Storage F5100 Flash Arrays Software Configuration: Oracle Solaris 10 Oracle Solaris Containers JD Edwards EnterpriseOne 9.0.2 JD Edwards EnterpriseOne Tools (8.98.4.2) Oracle WebLogic Server 11g (10.3.4) Oracle HTTP Server 11g Oracle Database 11g Release 2 (11.2.0.1) Benchmark Description JD Edwards EnterpriseOne is an integrated applications suite of Enterprise Resource Planning (ERP) software. Oracle offers 70 JD Edwards EnterpriseOne application modules to support a diverse set of business operations. Oracle's Day in the Life (DIL) kit is a suite of scripts that exercises most common transactions of JD Edwards EnterpriseOne applications, including business processes such as payroll, sales order, purchase order, work order, and manufacturing processes, such as ship confirmation. These are labeled by industry acronyms such as SCM, CRM, HCM, SRM and FMS. The kit's scripts execute transactions typical of a mid-sized manufacturing company. The workload consists of online transactions and the UBE – Universal Business Engine workload of 61 short and 4 long UBEs. LoadRunner runs the DIL workload, collects the user’s transactions response times and reports the key metric of Combined Weighted Average Transaction Response time. The UBE processes workload runs from the JD Enterprise Application server. Oracle's UBE processes come as three flavors: Short UBEs < 1 minute engage in Business Report and Summary Analysis, Mid UBEs > 1 minute create a large report of Account, Balance, and Full Address, Long UBEs > 2 minutes simulate Payroll, Sales Order, night only jobs. The UBE workload generates large numbers of PDF files reports and log files. The UBE Queues are categorized as the QBATCHD, a single threaded queue for large and medium UBEs, and the QPROCESS queue for short UBEs run concurrently. Oracle's UBE process performance metric is Number of Maximum Concurrent UBE processes at transaction rate, UBEs/minute. Key Points and Best Practices Two JD Edwards EnterpriseOne Application Servers, two Oracle WebLogic Servers 11g Release 1 coupled with two Oracle Web Tier HTTP server instances and one Oracle Database 11g Release 2 database on a single SPARC T4-2 server were hosted in separate Oracle Solaris Containers bound to four processor sets to demonstrate consolidation of multiple applications, web servers and the database with best resource utilizations. Interrupt fencing was configured on all Oracle Solaris Containers to channel the interrupts to processors other than the processor sets used for the JD Edwards Application server, Oracle WebLogic servers and the database server. A Oracle WebLogic vertical cluster was configured on each WebServer Container with twelve managed instances each to load balance users' requests and to provide the infrastructure that enables scaling to high number of users with ease of deployment and high availability. The database log writer was run in the real time RT class and bound to a processor set. The database redo logs were configured on the raw disk partitions. The Oracle Solaris Container running the Enterprise Application server completed 61 Short UBEs, 4 Long UBEs concurrently as the mixed size batch workload. The mixed size UBEs ran concurrently from the Enterprise Application server with the 8,000 online users driven by the LoadRunner. See Also SPARC T4-2 Server oracle.com OTN JD Edwards EnterpriseOne oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Oracle Fusion Middleware 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 09/30/2012.

    Read the article

  • Can We Survive the Sun’s Death?

    - by Akemi Iwaya
    In the distant future, our sun will begin its descent into death after using up all of the hydrogen fuel in its core. When that happens, the inner parts of our solar system will suffer horrible consequences. But what will happen at that point in time and how quickly will things ‘deteriorate’? Is there anything that could be done to help our planet survive? AsapSCIENCE looks at this ‘hot’ topic in their latest video. Can We Survive The Sun’s Death?     

    Read the article

  • Real World Java EE Patterns by Adam Bien

    - by JuergenKress
    Rethinking Best Practices, A book about rethinking patterns, best practices, idioms and Java EE Real World Java EE Patterns - Rethinking Best Practices discusses patterns and best practices in a structured way, with code from real world projects. This book covers: an introduction into the core principles and APIs of Java EE 6, principles of transactions, isolation levels, CAP and BASE, remoting, pragmatic modularization and structure of Java EE applications, discussion of superfluous patterns and outdated best practices, patterns for domain driven and service oriented components, custom scopes, asynchronous processing and parallelization, real time HTTP events, schedulers, REST optimizations, plugins and monitoring tools, and fully functional JCA 1.6 implementation. Real World Java EE Night Hacks - Dissecting the Business Tier will not only help experienced developers and architects to write concise code, but especially help you to shrink the codebase to unbelievably small sizes :-). Order here. WebLogic Partner Community For regular information become a member in the WebLogic Partner Community please visit: http://www.oracle.com/partners/goto/wls-emea ( OPN account required). If you need support with your account please contact the Oracle Partner Business Center. BlogTwitterLinkedInMixForumWiki Technorati Tags: Adam Bien,Real World Java,Java,Java EE,WebLogic Community,Oracle,OPN,Jürgen Kress

    Read the article

  • "What Happens in Vegas…" - Oracle to Present at Gartner AADI Conference

    - by Bruce Tierney
    “What Happens in Vegas, Stays in Vegas”…with the exception of insights to help you jumpstart your cloud integration and mobile enablement including these three highlights from the upcoming Oracle session “Simplifying Integration - The Cloud and Mobile Prerequisite”: How To Simplify Complex Application Infrastructures – Strategies for how to simplify while expanding on-premise to integrate with SaaS applications, Oracle Cloud, and mobile enablement. Presented by Tim Hall, Oracle’s Senior Director of Product Management Customer Case Study On Cloud Integration And Mobile App Enablement – Hear BMC present tips on how they used Oracle SOA Suite to integrate with Salesforce, Eloqua, WebEx, and more than 10 other SaaS applications. Also covered will be their smartphone and tablet enablement implementation. Oracle’s Integration Solution – A brief overview of how Oracle’s core integration products provide a unified approach to the many components of integration and mobile enablement. Image: BMC's Cloud Integration using Oracle SOA Suite Stop by the Oracle booth to chat with us and join the Oracle Session on Wed. Nov 28th at 9:45 a.m. For more information about Gartner Application Architecture, Development & Integration (AADI) conference at Caesar’s Palace November 27-29 2012, see this link

    Read the article

  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

    Read the article

  • RT3290 Bluetooth not pairing in Ubuntu 14.04

    - by Nashhole
    I recently followed the instructions listed in the following link to get my RT3290 bluetooth working on my laptop. These instructions have yielded the most progress I have had in the year I have had this laptop. My machine now sees my bluetooth, I can scan for and see devices, and other devices and see my laptop, but pairing continually fails. Ralink RT 3290 Bluetooth Problem on Ubuntu 14.04 -lscpi reads 04:00.1 Bluetooth: Ralink corp. RT3290 Bluetooth -rfkill list reads 0: hci0: Bluetooth Soft blocked: no Hard blocked: no -dmesg | grep Blue reads [ 5.965811] Bluetooth: Core ver 2.17 [ 5.965833] Bluetooth: HCI device and connection manager initialized [ 5.965840] Bluetooth: HCI socket layer initialized [ 5.965842] Bluetooth: L2CAP socket layer initialized [ 5.965847] Bluetooth: SCO socket layer initialized [ 6.038085] Bluetooth: BNEP (Ethernet Emulation) ver 1.3 [ 6.038088] Bluetooth: BNEP filters: protocol multicast [ 6.038096] Bluetooth: BNEP socket layer initialized [ 6.058013] Bluetooth: RFCOMM TTY layer initialized [ 6.058024] Bluetooth: RFCOMM socket layer initialized [ 6.058029] Bluetooth: RFCOMM ver 1.11 Any one have any thoughts or ideas I could try? Thanks in advance for your time and assistance.

    Read the article

  • OSB/OSR/OER in One Domain - QName violates loader constraints

    - by John Graves
    For demos, testing and prototyping, I wanted a single domain which contained three servers:OSB - Oracle Service BusOSR - Oracle Service RegistryOER - Oracle Enterprise Repository These three can work together to help with service governance in an enterprise.  When building out the domain, I found errors in the OSR server due to some conflicting classes from the OSB.  This wouldn't be an issue if each server was given a unique classpath setting with the node manager, but I was having the node manager use the standard startup scripts. The domain's bin/setDomainEnv.sh script has a large set of extra libraries added for OSB which look like this: if [ "${POST_CLASSPATH}" != "" ] ; then POST_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jrf_11.1.1/jrf.jar${CLASSPATHSEP}${POST_CLASSPATH}" export POST_CLASSPATH else POST_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jrf_11.1.1/jrf.jar" export POST_CLASSPATH fi if [ "${PRE_CLASSPATH}" != "" ] ; then PRE_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jdbc_11.1.1/ojdbc6dms.jar${CLASSPATHSEP}${PRE_CLASSPATH}" export PRE_CLASSPATH else PRE_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jdbc_11.1.1/ojdbc6dms.jar" export PRE_CLASSPATH fi POST_CLASSPATH="${POST_CLASSPATH}${CLASSPATHSEP}/oracle/fmwhome/Oracle_OSB1/soa/modules/oracle.soa.common.adapters_11.1.1/oracle.soa.common.adapters.jar\ ${CLASSPATHSEP}${ALSB_HOME}/lib/version.jar\ ${CLASSPATHSEP}${ALSB_HOME}/lib/alsb.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-ant.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-common.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-core.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-dameon.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/classes${CLASSPATHSEP}\ ${ALSB_HOME}/lib/external/log4j_1.2.8.jar${CLASSPATHSEP}\ ${DOMAIN_HOME}/config/osb" I didn't take the time to sort out exactly which jar was causing the problem, but I simply surrounded this block with a conditional statement: if [ "${SERVER_NAME}" == "osr_server1" ] ; then POST_CLASSPATH=""else if [ "${POST_CLASSPATH}" != "" ] ; then POST_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jrf_11.1.1/jrf.jar${CLASSPATHSEP}${POST_CLASSPATH}" export POST_CLASSPATH else POST_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jrf_11.1.1/jrf.jar" export POST_CLASSPATH fi if [ "${PRE_CLASSPATH}" != "" ] ; then PRE_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jdbc_11.1.1/ojdbc6dms.jar${CLASSPATHSEP}${PRE_CLASSPATH}" export PRE_CLASSPATH else PRE_CLASSPATH="${COMMON_COMPONENTS_HOME}/modules/oracle.jdbc_11.1.1/ojdbc6dms.jar" export PRE_CLASSPATH fi POST_CLASSPATH="${POST_CLASSPATH}${CLASSPATHSEP}/oracle/fmwhome/Oracle_OSB1/soa/modules/oracle.soa.common.adapters_11.1.1/oracle.soa.common.adapters.jar\ ${CLASSPATHSEP}${ALSB_HOME}/lib/version.jar\ ${CLASSPATHSEP}${ALSB_HOME}/lib/alsb.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-ant.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-common.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-core.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/lib/j2ssh-dameon.jar\ ${CLASSPATHSEP}${ALSB_HOME}/3rdparty/classes${CLASSPATHSEP}\ ${ALSB_HOME}/lib/external/log4j_1.2.8.jar${CLASSPATHSEP}\ ${DOMAIN_HOME}/config/osb" fi I could have also just done an if [ ${SERVER_NAME} = "osb_server1" ], but I would have also had to include the AdminServer because they are needed there too.  Since the oer_server1 didn't mind, I did the negative case as shown above. To help others find this post, I'm including the error that was reported in the OSR server before I made this change. ####<Mar 30, 2012 4:20:28 PM EST> <Error> <HTTP> <localhost.localdomain> <osr_server1> <[ACTIVE] ExecuteThread: '0' for queue: 'weblogic.kernel.Default (self-tuning)'> <<WLS Kernel>> <> <11d1def534ea1be0:30e96542:13662023753:-8000-000000000000001c> <1333084828916> <BEA-101017> <[ServletContext@470316600[app:registry module:registry.war path:/registry spec-version:null]] Root cause of ServletException. java.lang.LinkageError: Class javax/xml/namespace/QName violates loader constraints at com.idoox.wsdl.extensions.PopulatedExtensionRegistry.<init>(PopulatedExtensionRegistry.java:84) at com.idoox.wsdl.factory.WSDLFactoryImpl.newDefinition(WSDLFactoryImpl.java:61) at com.idoox.wsdl.xml.WSDLReaderImpl.parseDefinitions(WSDLReaderImpl.java:419) at com.idoox.wsdl.xml.WSDLReaderImpl.readWSDL(WSDLReaderImpl.java:309) at com.idoox.wsdl.xml.WSDLReaderImpl.readWSDL(WSDLReaderImpl.java:272) at com.idoox.wsdl.xml.WSDLReaderImpl.readWSDL(WSDLReaderImpl.java:198) at com.idoox.wsdl.util.WSDLUtil.readWSDL(WSDLUtil.java:126) at com.systinet.wasp.admin.PackageRepositoryImpl.validateServicesNamespaceAndName(PackageRepositoryImpl.java:885) at com.systinet.wasp.admin.PackageRepositoryImpl.registerPackage(PackageRepositoryImpl.java:807) at com.systinet.wasp.admin.PackageRepositoryImpl.updateDir(PackageRepositoryImpl.java:611) at com.systinet.wasp.admin.PackageRepositoryImpl.updateDir(PackageRepositoryImpl.java:643) at com.systinet.wasp.admin.PackageRepositoryImpl.update(PackageRepositoryImpl.java:553) at com.systinet.wasp.admin.PackageRepositoryImpl.init(PackageRepositoryImpl.java:242) at com.idoox.wasp.ModuleRepository.loadModules(ModuleRepository.java:198) at com.systinet.wasp.WaspImpl.boot(WaspImpl.java:383) at org.systinet.wasp.Wasp.init(Wasp.java:151) at com.systinet.transport.servlet.server.Servlet.init(Unknown Source) at weblogic.servlet.internal.StubSecurityHelper$ServletInitAction.run(StubSecurityHelper.java:283) at weblogic.security.acl.internal.AuthenticatedSubject.doAs(AuthenticatedSubject.java:321) at weblogic.security.service.SecurityManager.runAs(SecurityManager.java:120) at weblogic.servlet.internal.StubSecurityHelper.createServlet(StubSecurityHelper.java:64) at weblogic.servlet.internal.StubLifecycleHelper.createOneInstance(StubLifecycleHelper.java:58) at weblogic.servlet.internal.StubLifecycleHelper.<init>(StubLifecycleHelper.java:48) at weblogic.servlet.internal.ServletStubImpl.prepareServlet(ServletStubImpl.java:539) at weblogic.servlet.internal.ServletStubImpl.execute(ServletStubImpl.java:244) at weblogic.servlet.internal.ServletStubImpl.execute(ServletStubImpl.java:184) at weblogic.servlet.internal.WebAppServletContext$ServletInvocationAction.wrapRun(WebAppServletContext.java:3732) at weblogic.servlet.internal.WebAppServletContext$ServletInvocationAction.run(WebAppServletContext.java:3696) at weblogic.security.acl.internal.AuthenticatedSubject.doAs(AuthenticatedSubject.java:321) at weblogic.security.service.SecurityManager.runAs(SecurityManager.java:120) at weblogic.servlet.internal.WebAppServletContext.securedExecute(WebAppServletContext.java:2273) at weblogic.servlet.internal.WebAppServletContext.execute(WebAppServletContext.java:2179) at weblogic.servlet.internal.ServletRequestImpl.run(ServletRequestImpl.java:1490) at weblogic.work.ExecuteThread.execute(ExecuteThread.java:256) at weblogic.work.ExecuteThread.run(ExecuteThread.java:221)

    Read the article

  • Unity 3D hangs after power blackout

    - by Yusuf
    Unity 3D was working just fine till we had a blackout in the area (I have not yet bought a UPS :(). I tried the solutions here, but it does not help. I tried issuing a unity --reset and it gives me this output: http://pastebin.com/UW83w5cG What seems to be important (to me) from that log is this part: (compiz:6510): GConf-CRITICAL **: gconf_client_add_dir: assertion `gconf_valid_key (dirname, NULL)' failed ERROR 2012-05-29 21:50:41 unity.launcher.trashlaunchericon TrashLauncherIcon.cpp:62 Could not create file monitor for trash uri: Operation not supported For the time being, I can use Unity-2D, but I would like the 3D to work as well. Can you please help? Edit: Output when issuing $ unity --replace: http://pastebin.com/sBCPbyrT (compiz:2811): GConf-CRITICAL **: gconf_client_add_dir: assertion `gconf_valid_key (dirname, NULL)' failed ERROR 2012-06-01 20:21:24 unity.launcher.trashlaunchericon TrashLauncherIcon.cpp:62 Could not create file monitor for trash uri: Operation not supported Initializing unityshell options...done WARN 2012-06-01 20:21:25 unity.screeneffectframebufferobject ScreenEffectFramebufferObject.cpp:167 unsupported internal format Segmentation fault (core dumped)

    Read the article

  • Why did object-oriented paradigms take so long to go mainstream?

    - by Earlz
    I read this question and it got me thinking about another fairly recent thing. Object oriented languages. I'm not sure when the first one was created, but why did it take so long before they became mainstream? C became vastly popular, but didn't become the object-oriented C++ for years(decades?) later No mainstream language before the 90s was object oriented Object oriented really seemed to take off with Java and C++ around the same time Now, my question, why did this take so long? Why wasn't C originally conceived as an object-oriented language? Taking a very small subset of C++ wouldn't have affected the core language a whole lot, so why was this idea not popular until the 90s?

    Read the article

  • Behaviour Driven Maturity Model

    - by Michael Stephenson
    Originally posted on: http://geekswithblogs.net/michaelstephenson/archive/2013/07/02/153326.aspxFor anyone who is interested I have written a small paper about the theory behind the BizTalk Maturity Assessment using a generic framework I have called the "Behaviour Driven Maturity Model" and then how it could be applied to the assessment of other subjects.The paper is on the following link:http://btsmaturity.blob.core.windows.net/behaviour-driven-model/Behaviour%20Based%20Maturity%20Model%20-%20Introduction.pdfIf you would like to create a model for a different subject area based on the details of this paper then I would encourage this as much as possible, all I ask is the following:1. Let us know your doing it so we can help tell people about each others activities2. Make it free to the community3. Reference back to BizTalkMaturity.com as the source of your model

    Read the article

  • overheating when using flash

    - by Ben
    I am having overheating issues when watching flash videos. Here is all the relevant information that I could think of. Please help. --Often when playing flash videos it operates at 95 degrees C. --Only gets that hot when on full screen (but still in the 80s otherwise) --Sometimes reaches 100 degrees and shuts down. --fan runs at around 4500 RPM when hot (not to mention I can here it speed up) --Happens under Ubuntu 12.04 and 12.10 (did not use Ubuntu before then) --Overheating happens on more than one site (for example youtube and Comedy Central) --My computer does not overheat otherwise. --Usually runs around 50-60 degrees C. --Maybe if compiling or doing updates can it get to 70 or 75 degree C. --Have a dual boot, and under Windows I do not have this issue. --I use firefox, but have the same issue if using Chrome --I have a Lenovo T410, currently running Ubuntu 12.10 --Intel® Core™ i5 CPU M 540 @ 2.53GHz × 4 --4 GB of memory, 64 bit OS --Graphics: NVS 3100M/PCIe/SSE2 Thanks and let me know if you need more info, Ben

    Read the article

  • The Breakpoint Ep 3: The Sourcemap Spectacular with Paul Irish and Addy Osmani

    The Breakpoint Ep 3: The Sourcemap Spectacular with Paul Irish and Addy Osmani Ask and vote for questions at goo.gl Take Coffeescript to Javascript to Minified and all the way back with source maps. In addition to a new Coffeescript sourcemap workflow, we'll cover the latest sourcemap updates so you can understand how to dramatically improve your debugging experience. Finally, Paul and Addy will be joined by special guest—Yeoman core contributor Sindre Sorhus—to discuss what big new changes are coming to the project. From: GoogleDevelopers Views: 0 0 ratings Time: 01:00:00 More in Science & Technology

    Read the article

  • Managed Languages vs Compiled Language difference?

    - by l46kok
    I get confused when people try to make a distinction between compiled languages and managed languages. From experience, I understand that most consider compiled languages to be C,C++ while managed languages are Java,C# (There are obviously more, but these are just few examples). But what exactly is the core difference between the two types of languages? My understanding is that any program, regardless of what language you use is essentially "compiled" into a low-level machine code which is then interpreted, so does that kinda make managed languages a subset of compiled languages (That is, all managed languages are compiled languages but not the other way around)?

    Read the article

  • Silverlight beyond the basics

    - by Braulio Díez Botella
    Once I have learned the basics of Silverlight, I realized that there was still a lot to learn, architecture, patterns & practices, data access technologies… BUT… there’s plenty of material out there and few available time. I have compiled a set of articles/web casts / posts I found pretty useful for me, and defined a “learning roadmap”.   About the learning road map:    About the links: Basics MVVM Pattern: MSDN Magazine Basics RIA Services: RIA Services Intro RIA Services and Visual Studio 2010 MVVM + PRISM: MVVM + PRISM  MEF: MSDN Magazine RIA Services + MVVM: Mix10 RIA Services + MVVM + MEF: Shawn Wildermuth Series (1) Shawn Wildermuth Series (2) Shawn Wildermuth Series (3) Shawn Wildermuth Series (4) Some of them are based on Beta version of the products, but the core concepts are there and quite well explained. Please if you have other superb references add it on the comments section, hope to build a “version 2” of this post including or your feeback, thanks.

    Read the article

  • what packages should I install in ubuntu 12.04 to fulfill opengl requirements for using nouveau driver?

    - by karolszk
    I try to switch from nvidia to nouveau driver via script: !/bin/bash stop gdm rmmod nvidia sed -i "s/nouveau/nvidia/" /etc/modprobe.d/blacklist-nvidia-nouveau.conf update-alternatives --set gl_conf /usr/lib/mesa/ld.so.conf ldconfig modprobe nouveau cp /etc/X11/xorg.conf{.nouveau,} start gdm and driver is loaded and X started but compiz it doesn't. In .xsession-errors I see: Compiz (opengl) - Fatal: Root visual is not a GL visual compiz (opengl) - Error: initScreen failed compiz (core) - Error: Couldn't activate plugin 'opengl' Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual Compiz (opengl) - Fatal: Root visual is not a GL visual gnome-session[19075]: WARNING: App 'compiz.desktop' respawning too quickly gnome-session[19075]: WARNING: Application 'compiz.desktop' killed by signal gnome-session[19075]: WARNING: App 'compiz.desktop' respawning too quickly what I'm doing wrong??

    Read the article

  • "Build your own website" - Developing a CMS with Vague Requirements on a Tight Deadline

    - by walnutmon
    I'm a Java developer in charge of making a product which allows clients to "build their own site". I've spent a lot of time looking into Liferay, as I don't have any experience in building CMSs, and want to either use it, or get ideas of how to build a decent system. The time line is short, requirements are vague, yada yada Is Liferay a good technology to work with when showing the client (who may be very low on computer expertise) a user interface to build a site? The thing is, I want the power and flexibility to avoid the learning curve in building a CMS like product, but I don't want to waste time learning a new technology only to find its over-kill, or can't do the simple - but uncommon and unimplemented - things that we are asked to add as features Ideally I'd like to provide multiple web interfaces to the core API to build the sites - one that is very powerful, and another that is watered down and easy to use.

    Read the article

  • AMD E1-1200 Slow?

    - by Tim Rijckaert
    I recently installed Ubuntu 12.04 32bit with Gnome 3 on a Toshiba 850D-104 for a friend of mine. This friend only surfs the web, checks for emails and plays online flash games a lot I was chocked to see that the laptop was rather sluggish. I mean you get what you pay for, with this kind of processor (AMD E1-1200, dual-core 1.4Ghz), but it's a bit too much! It takes 10 seconds to just open up Chromium (1 tab!) not to mention when he plays a flash-game it's stuttery and becomes unplayable. What can I do? I already tried Lubuntu, but it's not that much faster. I checked the resources and the ram is only 300Mb from the 6Gig installed? The Graphics card is a AMD HD Radeon 7310 (and the FGLRX-driver is installed) Any solutions for a sluggish Flash experience on Ubuntu? Thanks

    Read the article

  • Oracle is sponsoring LinuxCon Japan 2012

    - by Zeynep Koch
    LinuxCon Japan is the premiere Linux conference in Asia that brings together a unique blend of core developers, administrators, users, community managers and industry experts. It is designed not only to encourage collaboration but to support future interaction between Japan and other Asia Pacific countries and the rest of the global Linux community. The conference includes presentations, tutorials, birds of a feather sessions, keynotes, sponsored mini-summits. LinuxCon Japan will be showcasing Oracle Linux in  following sessions, as well as Technology Showcase booth.  Wednesday, June 6: 2:00 pm - Btrfs Filesystems : Status and New Features, Chris Mason, Oracle, Room 502 Friday, June 8: 3:00 pm - State of Linux Kernel Security Subsystem, James Morris, Oracle, Room 502 5:25 pm - International/Asian Kernel Developer Panel that features Oracle's Chris Mason Register to attend these great sessions.

    Read the article

  • Create a Social Community of Trust Along With Your Federal Digital Services Governance

    - by TedMcLaughlan
    The Digital Services Governance Recommendations were recently released, supporting the US Federal Government's Digital Government Strategy Milestone Action #4.2 to establish agency-wide governance structures for developing and delivering digital services. Figure 1 - From: "Digital Services Governance Recommendations" While extremely important from a policy and procedure perspective within an Agency's information management and communications enterprise, these recommendations only very lightly reference perhaps the most important success enabler - the "Trusted Community" required for ultimate usefulness of the services delivered. By "ultimate usefulness", I mean the collection of public, transparent properties around government information and digital services that include social trust and validation, social reach, expert respect, and comparative, standard measures of relative value. In other words, do the digital services meet expectations of the public, social media ecosystem (people AND machines)? A rigid governance framework, controlling by rules, policies and roles the creation and dissemination of digital services may meet the expectations of direct end-users and most stakeholders - including the agency information stewards and security officers. All others who may share comments about the services, write about them, swap or review extracts, repackage, visualize or otherwise repurpose the output for use in entirely unanticipated, social ways - these "stakeholders" will not be governed, but may observe guidance generated by a "Trusted Community". As recognized members of the trusted community, these stakeholders may ultimately define the right scope and detail of governance that all other users might observe, promoting and refining the usefulness of the government product as the social ecosystem expects. So, as part of an agency-centric governance framework, it's advised that a flexible governance model be created for stewarding a "Community of Trust" around the digital services. The first steps follow the approach outlined in the Recommendations: Step 1: Gather a Core Team In addition to the roles and responsibilities described, perhaps a set of characteristics and responsibilities can be developed for the "Trusted Community Steward/Advocate" - i.e. a person or team who (a) are entirely cognizant of and respected within the external social media communities, and (b) are trusted both within the agency and outside as practical, responsible, non-partisan communicators of useful information. The may seem like a standard Agency PR/Outreach team role - but often an agency or stakeholder subject matter expert with a public, active social persona works even better. Step 2: Assess What You Have In addition to existing, agency or stakeholder decision-making bodies and assets, it's important to take a PR/Marketing view of the social ecosystem. How visible are the services across the social channels utilized by current or desired constituents of your agency? What's the online reputation of your agency and perhaps the service(s)? Is Search Engine Optimization (SEO) a facet of external communications/publishing lifecycles? Who are the public champions, instigators, value-adders for the digital services, or perhaps just influential "communicators" (i.e. with no stake in the game)? You're essentially assessing your market and social presence, and identifying the actors (including your own agency employees) in the existing community of trust. Step 3: Determine What You Want The evolving Community of Trust will most readily absorb, support and provide feedback regarding "Core Principles" (Element B of the "six essential elements of a digital services governance structure") shared by your Agency, and obviously play a large, though probably very unstructured part in Element D "Stakeholder Input and Participation". Plan for this, and seek input from the social media community with respect to performance metrics - these should be geared around the outcome and growth of the trusted communities actions. How big and active is this community? What's the influential reach of this community with respect to particular messaging or campaigns generated by the Agency? What's the referral rate TO your digital services, FROM channels owned or operated by members of this community? (this requires governance with respect to content generation inclusive of "markers" or "tags"). At this point, while your Agency proceeds with steps 4 ("Build/Validate the Governance Structure") and 5 ("Share, Review, Upgrade"), the Community of Trust might as well just get going, and start adding value and usefulness to the existing conversations, existing data services - loosely though directionally-stewarded by your trusted advocate(s). Why is this an "Enterprise Architecture" topic? Because it's increasingly apparent that a Public Service "Enterprise" is not wholly contained within Agency facilities, firewalls and job titles - it's also manifested in actual, perceived or representative forms outside the walls, on the social Internet. An Agency's EA model and resulting investments both facilitate and are impacted by the "Social Enterprise". At Oracle, we're very active both within our Enterprise and outside, helping foster social architectures that enable truly useful public services, digital or otherwise.

    Read the article

  • Oracle... and InfiniBand.

    - by jenny.gelhausen
    Beginning Sunday, 14th March 2010 the OpenFabrics Alliance has been hosting its annual conference in Sonoma, California. On Monday morning, Tim Shetler - VP of Product Management at Oracle - addressed a conference room full to the brim with the industry's InfiniBand luminaries. That same afternoon, Sumanta Chatterjee, Senior Director of Development at Oracle, was publicly lauded by moderator Bill Boas for being a long-standing, pivotal driver and crucial member of the community. A testament to InfiniBand's building momentum, it is no surprise to find it at the core of Oracle's flagship product, the Sun Oracle Database Machine. var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); try { var pageTracker = _gat._getTracker("UA-13185312-1"); pageTracker._trackPageview(); } catch(err) {}

    Read the article

  • Much Ado About Nothing: Stub Objects

    - by user9154181
    The Solaris 11 link-editor (ld) contains support for a new type of object that we call a stub object. A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be executed — the runtime linker will kill any process that attempts to load one. However, you can link to a stub object as a dependency, allowing the stub to act as a proxy for the real version of the object. You may well wonder if there is a point to producing an object that contains nothing but linking interface. As it turns out, stub objects are very useful for building large bodies of code such as Solaris. In the last year, we've had considerable success in applying them to one of our oldest and thorniest build problems. In this discussion, I will describe how we came to invent these objects, and how we apply them to building Solaris. This posting explains where the idea for stub objects came from, and details our long and twisty journey from hallway idea to standard link-editor feature. I expect that these details are mainly of interest to those who work on Solaris and its makefiles, those who have done so in the past, and those who work with other similar bodies of code. A subsequent posting will omit the history and background details, and instead discuss how to build and use stub objects. If you are mainly interested in what stub objects are, and don't care about the underlying software war stories, I encourage you to skip ahead. The Long Road To Stubs This all started for me with an email discussion in May of 2008, regarding a change request that was filed in 2002, entitled: 4631488 lib/Makefile is too patient: .WAITs should be reduced This CR encapsulates a number of cronic issues with Solaris builds: We build Solaris with a parallel make (dmake) that tries to build as much of the code base in parallel as possible. There is a lot of code to build, and we've long made use of parallelized builds to get the job done quicker. This is even more important in today's world of massively multicore hardware. Solaris contains a large number of executables and shared objects. Executables depend on shared objects, and shared objects can depend on each other. Before you can build an object, you need to ensure that the objects it needs have been built. This implies a need for serialization, which is in direct opposition to the desire to build everying in parallel. To accurately build objects in the right order requires an accurate set of make rules defining the things that depend on each other. This sounds simple, but the reality is quite complex. In practice, having programmers explicitly specify these dependencies is a losing strategy: It's really hard to get right. It's really easy to get it wrong and never know it because things build anyway. Even if you get it right, it won't stay that way, because dependencies between objects can change over time, and make cannot help you detect such drifing. You won't know that you got it wrong until the builds break. That can be a long time after the change that triggered the breakage happened, making it hard to connect the cause and the effect. Usually this happens just before a release, when the pressure is on, its hard to think calmly, and there is no time for deep fixes. As a poor compromise, the libraries in core Solaris were built using a set of grossly incomplete hand written rules, supplemented with a number of dmake .WAIT directives used to group the libraries into sets of non-interacting groups that can be built in parallel because we think they don't depend on each other. From time to time, someone will suggest that we could analyze the built objects themselves to determine their dependencies and then generate make rules based on those relationships. This is possible, but but there are complications that limit the usefulness of that approach: To analyze an object, you have to build it first. This is a classic chicken and egg scenario. You could analyze the results of a previous build, but then you're not necessarily going to get accurate rules for the current code. It should be possible to build the code without having a built workspace available. The analysis will take time, and remember that we're constantly trying to make builds faster, not slower. By definition, such an approach will always be approximate, and therefore only incremantally more accurate than the hand written rules described above. The hand written rules are fast and cheap, while this idea is slow and complex, so we stayed with the hand written approach. Solaris was built that way, essentially forever, because these are genuinely difficult problems that had no easy answer. The makefiles were full of build races in which the right outcomes happened reliably for years until a new machine or a change in build server workload upset the accidental balance of things. After figuring out what had happened, you'd mutter "How did that ever work?", add another incomplete and soon to be inaccurate make dependency rule to the system, and move on. This was not a satisfying solution, as we tend to be perfectionists in the Solaris group, but we didn't have a better answer. It worked well enough, approximately. And so it went for years. We needed a different approach — a new idea to cut the Gordian Knot. In that discussion from May 2008, my fellow linker-alien Rod Evans had the initial spark that lead us to a game changing series of realizations: The link-editor is used to link objects together, but it only uses the ELF metadata in the object, consisting of symbol tables, ELF versioning sections, and similar data. Notably, it does not look at, or understand, the machine code that makes an object useful at runtime. If you had an object that only contained the ELF metadata for a dependency, but not the code or data, the link-editor would find it equally useful for linking, and would never know the difference. Call it a stub object. In the core Solaris OS, we require all objects to be built with a link-editor mapfile that describes all of its publically available functions and data. Could we build a stub object using the mapfile for the real object? It ought to be very fast to build stub objects, as there are no input objects to process. Unlike the real object, stub objects would not actually require any dependencies, and so, all of the stubs for the entire system could be built in parallel. When building the real objects, one could link against the stub objects instead of the real dependencies. This means that all the real objects can be built built in parallel too, without any serialization. We could replace a system that requires perfect makefile rules with a system that requires no ordering rules whatsoever. The results would be considerably more robust. We immediately realized that this idea had potential, but also that there were many details to sort out, lots of work to do, and that perhaps it wouldn't really pan out. As is often the case, it would be necessary to do the work and see how it turned out. Following that conversation, I set about trying to build a stub object. We determined that a faithful stub has to do the following: Present the same set of global symbols, with the same ELF versioning, as the real object. Functions are simple — it suffices to have a symbol of the right type, possibly, but not necessarily, referencing a null function in its text segment. Copy relocations make data more complicated to stub. The possibility of a copy relocation means that when you create a stub, the data symbols must have the actual size of the real data. Any error in this will go uncaught at link time, and will cause tragic failures at runtime that are very hard to diagnose. For reasons too obscure to go into here, involving tentative symbols, it is also important that the data reside in bss, or not, matching its placement in the real object. If the real object has more than one symbol pointing at the same data item, we call these aliased symbols. All data symbols in the stub object must exhibit the same aliasing as the real object. We imagined the stub library feature working as follows: A command line option to ld tells it to produce a stub rather than a real object. In this mode, only mapfiles are examined, and any object or shared libraries on the command line are are ignored. The extra information needed (function or data, size, and bss details) would be added to the mapfile. When building the real object instead of the stub, the extra information for building stubs would be validated against the resulting object to ensure that they match. In exploring these ideas, I immediately run headfirst into the reality of the original mapfile syntax, a subject that I would later write about as The Problem(s) With Solaris SVR4 Link-Editor Mapfiles. The idea of extending that poor language was a non-starter. Until a better mapfile syntax became available, which seemed unlikely in 2008, the solution could not involve extentions to the mapfile syntax. Instead, we cooked up the idea (hack) of augmenting mapfiles with stylized comments that would carry the necessary information. A typical definition might look like: # DATA(i386) __iob 0x3c0 # DATA(amd64,sparcv9) __iob 0xa00 # DATA(sparc) __iob 0x140 iob; A further problem then became clear: If we can't extend the mapfile syntax, then there's no good way to extend ld with an option to produce stub objects, and to validate them against the real objects. The idea of having ld read comments in a mapfile and parse them for content is an unacceptable hack. The entire point of comments is that they are strictly for the human reader, and explicitly ignored by the tool. Taking all of these speed bumps into account, I made a new plan: A perl script reads the mapfiles, generates some small C glue code to produce empty functions and data definitions, compiles and links the stub object from the generated glue code, and then deletes the generated glue code. Another perl script used after both objects have been built, to compare the real and stub objects, using data from elfdump, and validate that they present the same linking interface. By June 2008, I had written the above, and generated a stub object for libc. It was a useful prototype process to go through, and it allowed me to explore the ideas at a deep level. Ultimately though, the result was unsatisfactory as a basis for real product. There were so many issues: The use of stylized comments were fine for a prototype, but not close to professional enough for shipping product. The idea of having to document and support it was a large concern. The ideal solution for stub objects really does involve having the link-editor accept the same arguments used to build the real object, augmented with a single extra command line option. Any other solution, such as our prototype script, will require makefiles to be modified in deeper ways to support building stubs, and so, will raise barriers to converting existing code. A validation script that rederives what the linker knew when it built an object will always be at a disadvantage relative to the actual linker that did the work. A stub object should be identifyable as such. In the prototype, there was no tag or other metadata that would let you know that they weren't real objects. Being able to identify a stub object in this way means that the file command can tell you what it is, and that the runtime linker can refuse to try and run a program that loads one. At that point, we needed to apply this prototype to building Solaris. As you might imagine, the task of modifying all the makefiles in the core Solaris code base in order to do this is a massive task, and not something you'd enter into lightly. The quality of the prototype just wasn't good enough to justify that sort of time commitment, so I tabled the project, putting it on my list of long term things to think about, and moved on to other work. It would sit there for a couple of years. Semi-coincidentally, one of the projects I tacked after that was to create a new mapfile syntax for the Solaris link-editor. We had wanted to do something about the old mapfile syntax for many years. Others before me had done some paper designs, and a great deal of thought had already gone into the features it should, and should not have, but for various reasons things had never moved beyond the idea stage. When I joined Sun in late 2005, I got involved in reviewing those things and thinking about the problem. Now in 2008, fresh from relearning for the Nth time why the old mapfile syntax was a huge impediment to linker progress, it seemed like the right time to tackle the mapfile issue. Paving the way for proper stub object support was not the driving force behind that effort, but I certainly had them in mind as I moved forward. The new mapfile syntax, which we call version 2, integrated into Nevada build snv_135 in in February 2010: 6916788 ld version 2 mapfile syntax PSARC/2009/688 Human readable and extensible ld mapfile syntax In order to prove that the new mapfile syntax was adequate for general purpose use, I had also done an overhaul of the ON consolidation to convert all mapfiles to use the new syntax, and put checks in place that would ensure that no use of the old syntax would creep back in. That work went back into snv_144 in June 2010: 6916796 OSnet mapfiles should use version 2 link-editor syntax That was a big putback, modifying 517 files, adding 18 new files, and removing 110 old ones. I would have done this putback anyway, as the work was already done, and the benefits of human readable syntax are obvious. However, among the justifications listed in CR 6916796 was this We anticipate adding additional features to the new mapfile language that will be applicable to ON, and which will require all sharable object mapfiles to use the new syntax. I never explained what those additional features were, and no one asked. It was premature to say so, but this was a reference to stub objects. By that point, I had already put together a working prototype link-editor with the necessary support for stub objects. I was pleased to find that building stubs was indeed very fast. On my desktop system (Ultra 24), an amd64 stub for libc can can be built in a fraction of a second: % ptime ld -64 -z stub -o stubs/libc.so.1 -G -hlibc.so.1 \ -ztext -zdefs -Bdirect ... real 0.019708910 user 0.010101680 sys 0.008528431 In order to go from prototype to integrated link-editor feature, I knew that I would need to prove that stub objects were valuable. And to do that, I knew that I'd have to switch the Solaris ON consolidation to use stub objects and evaluate the outcome. And in order to do that experiment, ON would first need to be converted to version 2 mapfiles. Sub-mission accomplished. Normally when you design a new feature, you can devise reasonably small tests to show it works, and then deploy it incrementally, letting it prove its value as it goes. The entire point of stub objects however was to demonstrate that they could be successfully applied to an extremely large and complex code base, and specifically to solve the Solaris build issues detailed above. There was no way to finesse the matter — in order to move ahead, I would have to successfully use stub objects to build the entire ON consolidation and demonstrate their value. In software, the need to boil the ocean can often be a warning sign that things are trending in the wrong direction. Conversely, sometimes progress demands that you build something large and new all at once. A big win, or a big loss — sometimes all you can do is try it and see what happens. And so, I spent some time staring at ON makefiles trying to get a handle on how things work, and how they'd have to change. It's a big and messy world, full of complex interactions, unspecified dependencies, special cases, and knowledge of arcane makefile features... ...and so, I backed away, put it down for a few months and did other work... ...until the fall, when I felt like it was time to stop thinking and pondering (some would say stalling) and get on with it. Without stubs, the following gives a simplified high level view of how Solaris is built: An initially empty directory known as the proto, and referenced via the ROOT makefile macro is established to receive the files that make up the Solaris distribution. A top level setup rule creates the proto area, and performs operations needed to initialize the workspace so that the main build operations can be launched, such as copying needed header files into the proto area. Parallel builds are launched to build the kernel (usr/src/uts), libraries (usr/src/lib), and commands. The install makefile target builds each item and delivers a copy to the proto area. All libraries and executables link against the objects previously installed in the proto, implying the need to synchronize the order in which things are built. Subsequent passes run lint, and do packaging. Given this structure, the additions to use stub objects are: A new second proto area is established, known as the stub proto and referenced via the STUBROOT makefile macro. The stub proto has the same structure as the real proto, but is used to hold stub objects. All files in the real proto are delivered as part of the Solaris product. In contrast, the stub proto is used to build the product, and then thrown away. A new target is added to library Makefiles called stub. This rule builds the stub objects. The ld command is designed so that you can build a stub object using the same ld command line you'd use to build the real object, with the addition of a single -z stub option. This means that the makefile rules for building the stub objects are very similar to those used to build the real objects, and many existing makefile definitions can be shared between them. A new target is added to the Makefiles called stubinstall which delivers the stub objects built by the stub rule into the stub proto. These rules reuse much of existing plumbing used by the existing install rule. The setup rule runs stubinstall over the entire lib subtree as part of its initialization. All libraries and executables link against the objects in the stub proto rather than the main proto, and can therefore be built in parallel without any synchronization. There was no small way to try this that would yield meaningful results. I would have to take a leap of faith and edit approximately 1850 makefiles and 300 mapfiles first, trusting that it would all work out. Once the editing was done, I'd type make and see what happened. This took about 6 weeks to do, and there were many dark days when I'd question the entire project, or struggle to understand some of the many twisted and complex situations I'd uncover in the makefiles. I even found a couple of new issues that required changes to the new stub object related code I'd added to ld. With a substantial amount of encouragement and help from some key people in the Solaris group, I eventually got the editing done and stub objects for the entire workspace built. I found that my desktop system could build all the stub objects in the workspace in roughly a minute. This was great news, as it meant that use of the feature is effectively free — no one was likely to notice or care about the cost of building them. After another week of typing make, fixing whatever failed, and doing it again, I succeeded in getting a complete build! The next step was to remove all of the make rules and .WAIT statements dedicated to controlling the order in which libraries under usr/src/lib are built. This came together pretty quickly, and after a few more speed bumps, I had a workspace that built cleanly and looked like something you might actually be able to integrate someday. This was a significant milestone, but there was still much left to do. I turned to doing full nightly builds. Every type of build (open, closed, OpenSolaris, export, domestic) had to be tried. Each type failed in a new and unique way, requiring some thinking and rework. As things came together, I became aware of things that could have been done better, simpler, or cleaner, and those things also required some rethinking, the seeking of wisdom from others, and some rework. After another couple of weeks, it was in close to final form. My focus turned towards the end game and integration. This was a huge workspace, and needed to go back soon, before changes in the gate would made merging increasingly difficult. At this point, I knew that the stub objects had greatly simplified the makefile logic and uncovered a number of race conditions, some of which had been there for years. I assumed that the builds were faster too, so I did some builds intended to quantify the speedup in build time that resulted from this approach. It had never occurred to me that there might not be one. And so, I was very surprised to find that the wall clock build times for a stock ON workspace were essentially identical to the times for my stub library enabled version! This is why it is important to always measure, and not just to assume. One can tell from first principles, based on all those removed dependency rules in the library makefile, that the stub object version of ON gives dmake considerably more opportunities to overlap library construction. Some hypothesis were proposed, and shot down: Could we have disabled dmakes parallel feature? No, a quick check showed things being build in parallel. It was suggested that we might be I/O bound, and so, the threads would be mostly idle. That's a plausible explanation, but system stats didn't really support it. Plus, the timing between the stub and non-stub cases were just too suspiciously identical. Are our machines already handling as much parallelism as they are capable of, and unable to exploit these additional opportunities? Once again, we didn't see the evidence to back this up. Eventually, a more plausible and obvious reason emerged: We build the libraries and commands (usr/src/lib, usr/src/cmd) in parallel with the kernel (usr/src/uts). The kernel is the long leg in that race, and so, wall clock measurements of build time are essentially showing how long it takes to build uts. Although it would have been nice to post a huge speedup immediately, we can take solace in knowing that stub objects simplify the makefiles and reduce the possibility of race conditions. The next step in reducing build time should be to find ways to reduce or overlap the uts part of the builds. When that leg of the build becomes shorter, then the increased parallelism in the libs and commands will pay additional dividends. Until then, we'll just have to settle for simpler and more robust. And so, I integrated the link-editor support for creating stub objects into snv_153 (November 2010) with 6993877 ld should produce stub objects PSARC/2010/397 ELF Stub Objects followed by the work to convert the ON consolidation in snv_161 (February 2011) with 7009826 OSnet should use stub objects 4631488 lib/Makefile is too patient: .WAITs should be reduced This was a huge putback, with 2108 modified files, 8 new files, and 2 removed files. Due to the size, I was allowed a window after snv_160 closed in which to do the putback. It went pretty smoothly for something this big, a few more preexisting race conditions would be discovered and addressed over the next few weeks, and things have been quiet since then. Conclusions and Looking Forward Solaris has been built with stub objects since February. The fact that developers no longer specify the order in which libraries are built has been a big success, and we've eliminated an entire class of build error. That's not to say that there are no build races left in the ON makefiles, but we've taken a substantial bite out of the problem while generally simplifying and improving things. The introduction of a stub proto area has also opened some interesting new possibilities for other build improvements. As this article has become quite long, and as those uses do not involve stub objects, I will defer that discussion to a future article.

    Read the article

< Previous Page | 241 242 243 244 245 246 247 248 249 250 251 252  | Next Page >