Search Results

Search found 9137 results on 366 pages for 'worker thread'.

Page 156/366 | < Previous Page | 152 153 154 155 156 157 158 159 160 161 162 163  | Next Page >

  • what is best config for nginx worker_rlimit_nofile and worker_connections 28672

    - by Binh Nguyen
    i have issue of web-brower response ( especially on ie ) very slow, some time time out, and sometime hang out up to 20 seconds for one file redirect 301 when test with "f12 derverloper tool of ie" .. it report wait/start time very long. but after got connected the elements on web weill be dowload and show out fast ( test at xaluan.com ) It most happen when active user on web more than 2100 ( use google real time live analytic ). server running cenos 5 with ngix, apache, 32core cpu, 96G ram, raid 10 sas hdd.. == flowing is my config == user nobody; # no need for more workers in the proxy mode worker_processes 28; #old 32 #good at 24 error_log /var/log/nginx/error.log; #old add in end: info worker_rlimit_nofile 22528; events { worker_connections 22528; use epoll; # you should use epoll here for Linux kernels 2.6.x } http { server_name_in_redirect off; server_names_hash_max_size 10240; server_names_hash_bucket_size 1024; include mime.types; default_type application/octet-stream; server_tokens off; disable_symlinks off; sendfile on; tcp_nopush on; tcp_nodelay on; server_name_in_redirect off; server_names_hash_max_size 10240; server_names_hash_bucket_size 1024; include mime.types; default_type application/octet-stream; server_tokens off; disable_symlinks off; sendfile on; tcp_nopush on; tcp_nodelay on; keepalive_timeout 25; #old 5 gzip on; #old on gzip_vary on; gzip_disable "MSIE [1-6]\."; gzip_proxied any; gzip_http_version 1.1; gzip_min_length 1000; gzip_comp_level 6; gzip_buffers 16 8k; ignore_invalid_headers on; client_header_timeout 1m; #3m client_body_timeout 1m; #3m send_timeout 1m; #3m reset_timedout_connection on; connection_pool_size 256; client_header_buffer_size 256k; large_client_header_buffers 4 256k; client_max_body_size 100M; client_body_buffer_size 256k; request_pool_size 32k; output_buffers 4 32k; postpone_output 1460; proxy_temp_path /tmp/nginx_proxy/; client_body_in_file_only on; log_format bytes_log "$msec $bytes_sent ."; limit_conn_zone $binary_remote_addr zone=limit_per_ip:1m; limit_conn limit_per_ip 20; limit_req_zone $binary_remote_addr zone=allips:5m rate=200r/s; limit_req zone=allips burst=200 nodelay; include "/etc/nginx/vhosts/*"; } =========== I have play around with worker config 1- tried increase as some one suggess: worker_rlimit_nofile = worker_connections = worker_processes * 1024 = 32768 2- tried to set low: worker_processes = 28 and other worker at 22582 and other solution too .. but not work cause some time it make server load hight very quick 3- tried to comment out the # worker_rlimit_nofile . so it will be unlimited. it look like solved a bit about issue response time. but it also make server high load quick in peak time... Please help thanks PS: other apache you may have look for help me out thanks Listen 0.0.0.0:8081 User nobody Group nobody ExtendedStatus On ServerAdmin [email protected] ServerName server.xaluan.com LogLevel warn # These can be set in WHM under 'Apache Global Configuration' Timeout 100 TraceEnable Off ServerSignature Off ServerTokens ProductOnly FileETag None StartServers 15 <IfModule prefork.c> MinSpareServers 20 MaxSpareServers 50 #MaxSpareServers 40 </IfModule> ServerLimit 1572 MaxClients 1572 MaxRequestsPerChild 4000 # MaxRequestsPerChild 3000 KeepAlive On KeepAliveTimeout 3 MaxKeepAliveRequests 300 #MaxKeepAliveRequests 130

    Read the article

  • Parallelism in .NET – Part 14, The Different Forms of Task

    - by Reed
    Before discussing Task creation and actual usage in concurrent environments, I will briefly expand upon my introduction of the Task class and provide a short explanation of the distinct forms of Task.  The Task Parallel Library includes four distinct, though related, variations on the Task class. In my introduction to the Task class, I focused on the most basic version of Task.  This version of Task, the standard Task class, is most often used with an Action delegate.  This allows you to implement for each task within the task decomposition as a single delegate. Typically, when using the new threading constructs in .NET 4 and the Task Parallel Library, we use lambda expressions to define anonymous methods.  The advantage of using a lambda expression is that it allows the Action delegate to directly use variables in the calling scope.  This eliminates the need to make separate Task classes for Action<T>, Action<T1,T2>, and all of the other Action<…> delegate types.  As an example, suppose we wanted to make a Task to handle the ”Show Splash” task from our earlier decomposition.  Even if this task required parameters, such as a message to display, we could still use an Action delegate specified via a lambda: // Store this as a local variable string messageForSplashScreen = GetSplashScreenMessage(); // Create our task Task showSplashTask = new Task( () => { // We can use variables in our outer scope, // as well as methods scoped to our class! this.DisplaySplashScreen(messageForSplashScreen); }); .csharpcode, .csharpcode pre { font-size: small; color: black; font-family: consolas, "Courier New", courier, monospace; background-color: #ffffff; /*white-space: pre;*/ } .csharpcode pre { margin: 0em; } .csharpcode .rem { color: #008000; } .csharpcode .kwrd { color: #0000ff; } .csharpcode .str { color: #006080; } .csharpcode .op { color: #0000c0; } .csharpcode .preproc { color: #cc6633; } .csharpcode .asp { background-color: #ffff00; } .csharpcode .html { color: #800000; } .csharpcode .attr { color: #ff0000; } .csharpcode .alt { background-color: #f4f4f4; width: 100%; margin: 0em; } .csharpcode .lnum { color: #606060; } This provides a huge amount of flexibility.  We can use this single form of task for any task which performs an operation, provided the only information we need to track is whether the task has completed successfully or not.  This leads to my first observation: Use a Task with a System.Action delegate for any task for which no result is generated. This observation leads to an obvious corollary: we also need a way to define a task which generates a result.  The Task Parallel Library provides this via the Task<TResult> class. Task<TResult> subclasses the standard Task class, providing one additional feature – the ability to return a value back to the user of the task.  This is done by switching from providing an Action delegate to providing a Func<TResult> delegate.  If we decompose our problem, and we realize we have one task where its result is required by a future operation, this can be handled via Task<TResult>.  For example, suppose we want to make a task for our “Check for Update” task, we could do: Task<bool> checkForUpdateTask = new Task<bool>( () => { return this.CheckWebsiteForUpdate(); }); Later, we would start this task, and perform some other work.  At any point in the future, we could get the value from the Task<TResult>.Result property, which will cause our thread to block until the task has finished processing: // This uses Task<bool> checkForUpdateTask generated above... // Start the task, typically on a background thread checkForUpdateTask.Start(); // Do some other work on our current thread this.DoSomeWork(); // Discover, from our background task, whether an update is available // This will block until our task completes bool updateAvailable = checkForUpdateTask.Result; This leads me to my second observation: Use a Task<TResult> with a System.Func<TResult> delegate for any task which generates a result. Task and Task<TResult> provide a much cleaner alternative to the previous Asynchronous Programming design patterns in the .NET framework.  Instead of trying to implement IAsyncResult, and providing BeginXXX() and EndXXX() methods, implementing an asynchronous programming API can be as simple as creating a method that returns a Task or Task<TResult>.  The client side of the pattern also is dramatically simplified – the client can call a method, then either choose to call task.Wait() or use task.Result when it needs to wait for the operation’s completion. While this provides a much cleaner model for future APIs, there is quite a bit of infrastructure built around the current Asynchronous Programming design patterns.  In order to provide a model to work with existing APIs, two other forms of Task exist.  There is a constructor for Task which takes an Action<Object> and a state parameter.  In addition, there is a constructor for creating a Task<TResult> which takes a Func<Object, TResult> as well as a state parameter.  When using these constructors, the state parameter is stored in the Task.AsyncState property. While these two overloads exist, and are usable directly, I strongly recommend avoiding this for new development.  The two forms of Task which take an object state parameter exist primarily for interoperability with traditional .NET Asynchronous Programming methodologies.  Using lambda expressions to capture variables from the scope of the creator is a much cleaner approach than using the untyped state parameters, since lambda expressions provide full type safety without introducing new variables.

    Read the article

  • Fixing the Model Binding issue of ASP.NET MVC 4 and ASP.NET Web API

    - by imran_ku07
            Introduction:                     Yesterday when I was checking ASP.NET forums, I found an important issue/bug in ASP.NET MVC 4 and ASP.NET Web API. The issue is present in System.Web.PrefixContainer class which is used by both ASP.NET MVC and ASP.NET Web API assembly. The details of this issue is available in this thread. This bug can be a breaking change for you if you upgraded your application to ASP.NET MVC 4 and your application model properties using the convention available in the above thread. So, I have created a package which will fix this issue both in ASP.NET MVC and ASP.NET Web API. In this article, I will show you how to use this package.           Description:                     Create or open an ASP.NET MVC 4 project and install ImranB.ModelBindingFix NuGet package. Then, add this using statement on your global.asax.cs file, using ImranB.ModelBindingFix;                     Then, just add this line in Application_Start method,   Fixer.FixModelBindingIssue(); // For fixing only in MVC call this //Fixer.FixMvcModelBindingIssue(); // For fixing only in Web API call this //Fixer.FixWebApiModelBindingIssue(); .                     This line will fix the model binding issue. If you are using Html.Action or Html.RenderAction then you should use Html.FixedAction or Html.FixedRenderAction instead to avoid this bug(make sure to reference ImranB.ModelBindingFix.SystemWebMvc namespace). If you are using FormDataCollection.ReadAs extension method then you should use FormDataCollection.FixedReadAs instead to avoid this bug(make sure to reference ImranB.ModelBindingFix.SystemWebHttp namespace). The source code of this package is available at github.          Summary:                     There is a small but important issue/bug in ASP.NET MVC 4. In this article, I showed you how to fix this issue/bug by using a package. Hopefully you will enjoy this article too.

    Read the article

  • Run a Vaadin app on Azure?

    - by Gorkamorka
    I'm considering deploying a Vaadin Java web app on Azure, but when searching around for others doing this I have found nothing (except a single, old and mostly unanswered thread on the Vaadin forums). My question is thus: Has anyone successfully managed to deploy and run a Vaadin app on Azure? Did the project or the remote Tomcat server require any special configuration? What worked and what didn't?

    Read the article

  • Introducing Oracle VM Server for SPARC

    - by Honglin Su
    As you are watching Oracle's Virtualization Strategy Webcast and exploring the great virtualization offerings of Oracle VM product line, I'd like to introduce Oracle VM Server for SPARC --  highly efficient, enterprise-class virtualization solution for Sun SPARC Enterprise Systems with Chip Multithreading (CMT) technology. Oracle VM Server for SPARC, previously called Sun Logical Domains, leverages the built-in SPARC hypervisor to subdivide supported platforms' resources (CPUs, memory, network, and storage) by creating partitions called logical (or virtual) domains. Each logical domain can run an independent operating system. Oracle VM Server for SPARC provides the flexibility to deploy multiple Oracle Solaris operating systems simultaneously on a single platform. Oracle VM Server also allows you to create up to 128 virtual servers on one system to take advantage of the massive thread scale offered by the CMT architecture. Oracle VM Server for SPARC integrates both the industry-leading CMT capability of the UltraSPARC T1, T2 and T2 Plus processors and the Oracle Solaris operating system. This combination helps to increase flexibility, isolate workload processing, and improve the potential for maximum server utilization. Oracle VM Server for SPARC delivers the following: Leading Price/Performance - The low-overhead architecture provides scalable performance under increasing workloads without additional license cost. This enables you to meet the most aggressive price/performance requirement Advanced RAS - Each logical domain is an entirely independent virtual machine with its own OS. It supports virtual disk mutipathing and failover as well as faster network failover with link-based IP multipathing (IPMP) support. Moreover, it's fully integrated with Solaris FMA (Fault Management Architecture), which enables predictive self healing. CPU Dynamic Resource Management (DRM) - Enable your resource management policy and domain workload to trigger the automatic addition and removal of CPUs. This ability helps you to better align with your IT and business priorities. Enhanced Domain Migrations - Perform domain migrations interactively and non-interactively to bring more flexibility to the management of your virtualized environment. Improve active domain migration performance by compressing memory transfers and taking advantage of cryptographic acceleration hardware. These methods provide faster migration for load balancing, power saving, and planned maintenance. Dynamic Crypto Control - Dynamically add and remove cryptographic units (aka MAU) to and from active domains. Also, migrate active domains that have cryptographic units. Physical-to-virtual (P2V) Conversion - Quickly convert an existing SPARC server running the Oracle Solaris 8, 9 or 10 OS into a virtualized Oracle Solaris 10 image. Use this image to facilitate OS migration into the virtualized environment. Virtual I/O Dynamic Reconfiguration (DR) - Add and remove virtual I/O services and devices without needing to reboot the system. CPU Power Management - Implement power saving by disabling each core on a Sun UltraSPARC T2 or T2 Plus processor that has all of its CPU threads idle. Advanced Network Configuration - Configure the following network features to obtain more flexible network configurations, higher performance, and scalability: Jumbo frames, VLANs, virtual switches for link aggregations, and network interface unit (NIU) hybrid I/O. Official Certification Based On Real-World Testing - Use Oracle VM Server for SPARC with the most sophisticated enterprise workloads under real-world conditions, including Oracle Real Application Clusters (RAC). Affordable, Full-Stack Enterprise Class Support - Obtain worldwide support from Oracle for the entire virtualization environment and workloads together. The support covers hardware, firmware, OS, virtualization, and the software stack. SPARC Server Virtualization Oracle offers a full portfolio of virtualization solutions to address your needs. SPARC is the leading platform to have the hard partitioning capability that provides the physical isolation needed to run independent operating systems. Many customers have already used Oracle Solaris Containers for application isolation. Oracle VM Server for SPARC provides another important feature with OS isolation. This gives you the flexibility to deploy multiple operating systems simultaneously on a single Sun SPARC T-Series server with finer granularity for computing resources.  For SPARC CMT processors, the natural level of granularity is an execution thread, not a time-sliced microsecond of execution resources. Each CPU thread can be treated as an independent virtual processor. The scheduler is naturally built into the CPU for lower overhead and higher performance. Your organizations can couple Oracle Solaris Containers and Oracle VM Server for SPARC with the breakthrough space and energy savings afforded by Sun SPARC Enterprise systems with CMT technology to deliver a more agile, responsive, and low-cost environment. Management with Oracle Enterprise Manager Ops Center The Oracle Enterprise Manager Ops Center Virtualization Management Pack provides full lifecycle management of virtual guests, including Oracle VM Server for SPARC and Oracle Solaris Containers. It helps you streamline operations and reduce downtime. Together, the Virtualization Management Pack and the Ops Center Provisioning and Patch Automation Pack provide an end-to-end management solution for physical and virtual systems through a single web-based console. This solution automates the lifecycle management of physical and virtual systems and is the most effective systems management solution for Oracle's Sun infrastructure. Ease of Deployment with Configuration Assistant The Oracle VM Server for SPARC Configuration Assistant can help you easily create logical domains. After gathering the configuration data, the Configuration Assistant determines the best way to create a deployment to suit your requirements. The Configuration Assistant is available as both a graphical user interface (GUI) and terminal-based tool. Oracle Solaris Cluster HA Support The Oracle Solaris Cluster HA for Oracle VM Server for SPARC data service provides a mechanism for orderly startup and shutdown, fault monitoring and automatic failover of the Oracle VM Server guest domain service. In addition, applications that run on a logical domain, as well as its resources and dependencies can be controlled and managed independently. These are managed as if they were running in a classical Solaris Cluster hardware node. Supported Systems Oracle VM Server for SPARC is supported on all Sun SPARC Enterprise Systems with CMT technology. UltraSPARC T2 Plus Systems ·   Sun SPARC Enterprise T5140 Server ·   Sun SPARC Enterprise T5240 Server ·   Sun SPARC Enterprise T5440 Server ·   Sun Netra T5440 Server ·   Sun Blade T6340 Server Module ·   Sun Netra T6340 Server Module UltraSPARC T2 Systems ·   Sun SPARC Enterprise T5120 Server ·   Sun SPARC Enterprise T5220 Server ·   Sun Netra T5220 Server ·   Sun Blade T6320 Server Module ·   Sun Netra CP3260 ATCA Blade Server Note that UltraSPARC T1 systems are supported on earlier versions of the software.Sun SPARC Enterprise Systems with CMT technology come with the right to use (RTU) of Oracle VM Server, and the software is pre-installed. If you have the systems under warranty or with support, you can download the software and system firmware as well as their updates. Oracle Premier Support for Systems provides fully-integrated support for your server hardware, firmware, OS, and virtualization software. Visit oracle.com/support for information about Oracle's support offerings for Sun systems. For more information about Oracle's virtualization offerings, visit oracle.com/virtualization.

    Read the article

  • Intel GMA 500 support for 11.10

    - by lucazade
    I would like to know if the new open-source video driver included in kernel 3.0.x for the Intel GMA 500 will be included by default in the kernel that will be shipped in OO. The driver support of this GFX chipset has always been poor and mainly community-driven, now finally we have a KMS open-source driver, written by kernel hackers, and actually included in staging kernel repo. If there is any kind of testing needed there is a mega-thread on Ubuntu Forums with hundreds of users ready to test everything.

    Read the article

  • Office Live add-in 1.5 cannot be installed

    - by wisecarver
    Having trouble with a recent Windows Update that failed to install the Office Live add-in 1.5? This has been driving me nuts on a Windows 7 Ultimate 64-bit system for three days. Windows Update would fail, click the “Try again” button and…fail So like I good boy I used http://www.bing.com and have been searching for resolutions. Success! The Microsoft Social forums. http://social.answers.microsoft.com/Forums/en-US/officeinstall/thread/4c62e615-a3e5-4cf9-ae6a-5fd870dfb0bc http://support.microsoft...(read more)

    Read the article

  • C++ Multithreading on Unix

    - by Roger
    I have two related questions: 1) Are there any good books for multithreading in C++, especially now that C++11 contains multithreading in the standard library? 2) I have the Wrox Programming on Unix book (1000 pages fat red one) and within it, it uses the Unix Thread class. How does this code relate to boost and the C++11 multithreading libraries? Is it better/worse/just specific to Unix etc? Is the performance the same?

    Read the article

  • Daily tech links for .net and related technologies - Apr 26-28, 2010

    - by SanjeevAgarwal
    Daily tech links for .net and related technologies - Apr 26-28, 2010 Web Development MVC: Unit Testing Action Filters - Donn ASP.NET MVC 2: Ninja Black Belt Tips - Scott Hanselman Turn on Compile-time View Checking for ASP.NET MVC Projects in TFS Build 2010 - Jim Lamb Web Design List of 25+ New tags introduced in HTML 5 - techfreakstuff 15 CSS Habits to Develop for Frustration-Free Coding - noupe Silverlight, WPF & RIA Essential Silverlight and WPF Skills: The UI Thread, Dispatchers, Background...(read more)

    Read the article

  • How can Google publish Dalvik as Java-language compatible since Java is a trademark?

    - by Bruno Chagas
    According to this thread Java and JVM license You can write a compiler that implements the Java Language Specification or write a JVM that implements the Java Virtual Machine specification, but when you officially want to call it "Java", you have to prove it is compatible by passing the tests of the TCK (technology compatibility kit) and pay for a license from Oracle. So, how can Google (or any other java implementation for that matter) claims that Dalvik is a Java virtual machine?

    Read the article

  • The Proper Use of the VM Role in Windows Azure

    - by BuckWoody
    At the Professional Developer’s Conference (PDC) in 2010 we announced an addition to the Computational Roles in Windows Azure, called the VM Role. This new feature allows a great deal of control over the applications you write, but some have confused it with our full infrastructure offering in Windows Hyper-V. There is a proper architecture pattern for both of them. Virtualization Virtualization is the process of taking all of the hardware of a physical computer and replicating it in software alone. This means that a single computer can “host” or run several “virtual” computers. These virtual computers can run anywhere - including at a vendor’s location. Some companies refer to this as Cloud Computing since the hardware is operated and maintained elsewhere. IaaS The more detailed definition of this type of computing is called Infrastructure as a Service (Iaas) since it removes the need for you to maintain hardware at your organization. The operating system, drivers, and all the other software required to run an application are still under your control and your responsibility to license, patch, and scale. Microsoft has an offering in this space called Hyper-V, that runs on the Windows operating system. Combined with a hardware hosting vendor and the System Center software to create and deploy Virtual Machines (a process referred to as provisioning), you can create a Cloud environment with full control over all aspects of the machine, including multiple operating systems if you like. Hosting machines and provisioning them at your own buildings is sometimes called a Private Cloud, and hosting them somewhere else is often called a Public Cloud. State-ful and Stateless Programming This paradigm does not create a new, scalable way of computing. It simply moves the hardware away. The reason is that when you limit the Cloud efforts to a Virtual Machine, you are in effect limiting the computing resources to what that single system can provide. This is because much of the software developed in this environment maintains “state” - and that requires a little explanation. “State-ful programming” means that all parts of the computing environment stay connected to each other throughout a compute cycle. The system expects the memory, CPU, storage and network to remain in the same state from the beginning of the process to the end. You can think of this as a telephone conversation - you expect that the other person picks up the phone, listens to you, and talks back all in a single unit of time. In “Stateless” computing the system is designed to allow the different parts of the code to run independently of each other. You can think of this like an e-mail exchange. You compose an e-mail from your system (it has the state when you’re doing that) and then you walk away for a bit to make some coffee. A few minutes later you click the “send” button (the network has the state) and you go to a meeting. The server receives the message and stores it on a mail program’s database (the mail server has the state now) and continues working on other mail. Finally, the other party logs on to their mail client and reads the mail (the other user has the state) and responds to it and so on. These events might be separated by milliseconds or even days, but the system continues to operate. The entire process doesn’t maintain the state, each component does. This is the exact concept behind coding for Windows Azure. The stateless programming model allows amazing rates of scale, since the message (think of the e-mail) can be broken apart by multiple programs and worked on in parallel (like when the e-mail goes to hundreds of users), and only the order of re-assembling the work is important to consider. For the exact same reason, if the system makes copies of those running programs as Windows Azure does, you have built-in redundancy and recovery. It’s just built into the design. The Difference Between Infrastructure Designs and Platform Designs When you simply take a physical server running software and virtualize it either privately or publicly, you haven’t done anything to allow the code to scale or have recovery. That all has to be handled by adding more code and more Virtual Machines that have a slight lag in maintaining the running state of the system. Add more machines and you get more lag, so the scale is limited. This is the primary limitation with IaaS. It’s also not as easy to deploy these VM’s, and more importantly, you’re often charged on a longer basis to remove them. your agility in IaaS is more limited. Windows Azure is a Platform - meaning that you get objects you can code against. The code you write runs on multiple nodes with multiple copies, and it all works because of the magic of Stateless programming. you don’t worry, or even care, about what is running underneath. It could be Windows (and it is in fact a type of Windows Server), Linux, or anything else - but that' isn’t what you want to manage, monitor, maintain or license. You don’t want to deploy an operating system - you want to deploy an application. You want your code to run, and you don’t care how it does that. Another benefit to PaaS is that you can ask for hundreds or thousands of new nodes of computing power - there’s no provisioning, it just happens. And you can stop using them quicker - and the base code for your application does not have to change to make this happen. Windows Azure Roles and Their Use If you need your code to have a user interface, in Visual Studio you add a Web Role to your project, and if the code needs to do work that doesn’t involve a user interface you can add a Worker Role. They are just containers that act a certain way. I’ll provide more detail on those later. Note: That’s a general description, so it’s not entirely accurate, but it’s accurate enough for this discussion. So now we’re back to that VM Role. Because of the name, some have mistakenly thought that you can take a Virtual Machine running, say Linux, and deploy it to Windows Azure using this Role. But you can’t. That’s not what it is designed for at all. If you do need that kind of deployment, you should look into Hyper-V and System Center to create the Private or Public Infrastructure as a Service. What the VM Role is actually designed to do is to allow you to have a great deal of control over the system where your code will run. Let’s take an example. You’ve heard about Windows Azure, and Platform programming. You’re convinced it’s the right way to code. But you have a lot of things you’ve written in another way at your company. Re-writing all of your code to take advantage of Windows Azure will take a long time. Or perhaps you have a certain version of Apache Web Server that you need for your code to work. In both cases, you think you can (or already have) code the the software to be “Stateless”, you just need more control over the place where the code runs. That’s the place where a VM Role makes sense. Recap Virtualizing servers alone has limitations of scale, availability and recovery. Microsoft’s offering in this area is Hyper-V and System Center, not the VM Role. The VM Role is still used for running Stateless code, just like the Web and Worker Roles, with the exception that it allows you more control over the environment of where that code runs.

    Read the article

  • SQL SERVER – PREEMPTIVE and Non-PREEMPTIVE – Wait Type – Day 19 of 28

    - by pinaldave
    In this blog post, we are going to talk about a very interesting subject. I often get questions related to SQL Server 2008 Book-Online about various Preemptive wait types. I got a few questions asking what these wait types are and how they could be interpreted. To get current wait types of the system, you can read this article and run the script: SQL SERVER – DMV – sys.dm_os_waiting_tasks and sys.dm_exec_requests – Wait Type – Day 4 of 28. Before we continue understanding them, let us study first what PREEMPTIVE and Non-PREEMPTIVE waits in SQL Server mean. PREEMPTIVE: Simply put, this wait means non-cooperative. While SQL Server is executing a task, the Operating System (OS) interrupts it. This leads to SQL Server to involuntarily give up the execution for other higher priority tasks. This is not good for SQL Server as it is a particular external process which makes SQL Server to yield. This kind of wait can reduce the performance drastically and needs to be investigated properly. Non-PREEMPTIVE: In simple terms, this wait means cooperative. SQL Server manages the scheduling of the threads. When SQL Server manages the scheduling instead of the OS, it makes sure its own priority. In this case, SQL Server decides the priority and one thread yields to another thread voluntarily. In the earlier version of SQL Server, there was no preemptive wait types mentioned and the associated task status with them was marked as suspended. In SQL Server 2005, preemptive wait types were not listed as well, but their associated task status was marked as running. In SQL Server 2008, preemptive wait types are properly listed and their associated task status is also marked as running. Now, SQL Server is in Non-Preemptive mode by default and it works fine. When CLR, extended Stored Procedures and other external components run, they run in Preemptive mode, leading to the creation of these wait types. There are a wide variety of preemptive wait types. If you see consistent high value in the Preemptive wait types, I strongly suggest that you look into the wait type and try to know the root cause. If you are still not sure, you can send me an email or leave a comment about it and I will do my best to help you reduce this wait type. Read all the post in the Wait Types and Queue series. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

    Read the article

  • Télécharger un fichier du Web avec PyQt4 et QThread, un article de Jean-Paul Vidal

    Bonjour, Je vous informe d'un nouveau tuto sur developpez : comment télécharger un fichier sur le Web avec PyQt4. Le code utilise QThread (le thread de Qt4) et, pour le téléchargement, le module urllib. Il permet de montrer comment les threads peuvent communiquer par messages avec l'interface graphique afin de mettre à jour une barre de progression du téléchargement. Il a été développé suite au fil de discussion http://www.developpez.net/forums/d10...s-urlretrieve/. Tyrtamos...

    Read the article

  • Using the BackgroundWorker in a Silverlight MVVM Application

    - by axshon
    With Silverlight 4 and the Entity Framework you get a lot of work done on your behalf in terms of standard UI CRUD-style operations. Validations and I/O are pretty easy to accommodate out of the box. But sometimes you need to perform some long running tasks either on the client or on the server via service calls. To prevent your UI from hanging and annoying your users, you should consider placing these operations on a background thread. The BackgroundWorker object is the perfect solution for this...(read more)

    Read the article

  • Installer un forum PHPBB sur IIS 7, par Florian Casabianca

    Citation: Cet article illustre l'installation d'un forum PHPBB sur la dernière plateforme Web de Microsoft: Windows Server 2008 R2 et IIS 7. Ce scénario est facilement réalisable grâce à l'initiative « Ma Plateforme Web » lancée par Microsoft entre Mars et Juin 2010. c'est par ici n'hésitez pas à utiliser ce thread pour poster vos remarques...

    Read the article

  • Where can I find alternatives to...?

    - by jumpnett
    There has been a couple questions here regarding alternatives to certain programs, and I'm sure as more people start using Ubuntu, and join this site, there will be more people looking for alternatives to programs they used in there previous operating system. Therefore I figured I start a thread to list different sites that list alternatives to programs. (Please just post one link per answer). Here is my favorite site to look for alternatives: alternativeTo

    Read the article

  • LINQ to Twitter v2.0.8 Released

    - by Joe Mayo
    Today, I released LINQ to Twitter v2.0.8. Besides normal maintenance, this release includes the Twitter Geo API and the Suggested Users API. LINQ to Twitter is hosted on CodePlex.com: http://linqtotwitter.codeplex.com/ In addition to new functionality, I've made much progress toward LINQ to Twitter documentation; primarily in the Making API Calls area: http://linqtotwitter.codeplex.com/wikipage?title=Making%20API%20Calls&referringTitle=Documentation There's also a discussion forum where you can ask and view questions: http://linqtotwitter.codeplex.com/Thread/List.aspx As always, constructive feedback is welcome. Joe

    Read the article

  • nginx problem accessing virtual hosts

    - by Sc0rian
    I am setting up nginx as a reverse proxy. The server runs on directadmin and lamp stack. I have nginx running on port 81. I can access all my sites (including virtual ips) on the port 81. However when I forward the traffic from port 80 to 81, the virtual ips have a message saying "Apache is running normally". Server IPs are fine, and I can still access virtual IP's on 81. [root@~]# netstat -an | grep LISTEN | egrep ":80|:81" tcp 0 0 <virtual ip>:81 0.0.0.0:* LISTEN tcp 0 0 <virtual ip>:81 0.0.0.0:* LISTEN tcp 0 0 <serverip>:81 0.0.0.0:* LISTEN tcp 0 0 :::80 :::* LISTEN apache 24090 0.6 1.3 29252 13612 ? S 18:34 0:00 /usr/sbin/httpd -k start -DSSL apache 24092 0.9 2.1 39584 22056 ? S 18:34 0:00 /usr/sbin/httpd -k start -DSSL apache 24096 0.2 1.9 35892 20256 ? S 18:34 0:00 /usr/sbin/httpd -k start -DSSL apache 24120 0.3 1.7 35752 17840 ? S 18:34 0:00 /usr/sbin/httpd -k start -DSSL apache 24495 0.0 1.4 30892 14756 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24496 1.0 2.1 39892 22164 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24516 1.5 3.6 55496 38040 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24519 0.1 1.2 28996 13224 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24521 2.7 4.0 58244 41984 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24522 0.0 1.2 29124 12672 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24524 0.0 1.1 28740 12364 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24535 1.1 1.7 36008 17876 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24536 0.0 1.1 28592 12084 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24537 0.0 1.1 28592 12112 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24539 0.0 0.0 0 0 ? Z 18:35 0:00 [httpd] <defunct> apache 24540 0.0 1.1 28592 11540 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL apache 24541 0.0 1.1 28592 11548 ? S 18:35 0:00 /usr/sbin/httpd -k start -DSSL root 24548 0.0 0.0 4132 752 pts/0 R+ 18:35 0:00 egrep apache|nginx root 28238 0.0 0.0 19576 284 ? Ss May29 0:00 nginx: master process /usr/local/nginx/sbin/nginx -c /usr/local/nginx/conf/nginx.conf apache 28239 0.0 0.0 19888 804 ? S May29 0:00 nginx: worker process apache 28240 0.0 0.0 19888 548 ? S May29 0:00 nginx: worker process apache 28241 0.0 0.0 19736 484 ? S May29 0:00 nginx: cache manager process here is my nginx conf: cat /usr/local/nginx/conf/nginx.conf user apache apache; worker_processes 2; # Set it according to what your CPU have. 4 Cores = 4 worker_rlimit_nofile 8192; pid /var/run/nginx.pid; events { worker_connections 1024; } http { include mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] ' '"$request" $status $body_bytes_sent "$http_referer" ' '"$http_user_agent" "$http_x_forwarded_for"'; server_tokens off; access_log /var/log/nginx_access.log main; error_log /var/log/nginx_error.log debug; server_names_hash_bucket_size 64; sendfile on; tcp_nopush on; tcp_nodelay off; keepalive_timeout 30; gzip on; gzip_comp_level 9; gzip_proxied any; proxy_buffering on; proxy_cache_path /usr/local/nginx/proxy_temp levels=1:2 keys_zone=one:15m inactive=7d max_size=1000m; proxy_buffer_size 16k; proxy_buffers 100 8k; proxy_connect_timeout 60; proxy_send_timeout 60; proxy_read_timeout 60; server { listen <server ip>:81 default rcvbuf=8192 sndbuf=16384 backlog=32000; # Real IP here server_name <server host name> _; # "_" is for handle all hosts that are not described by server_name charset off; access_log /var/log/nginx_host_general.access.log main; location / { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass http://<server ip>; # Real IP here client_max_body_size 16m; client_body_buffer_size 128k; proxy_buffering on; proxy_connect_timeout 90; proxy_send_timeout 90; proxy_read_timeout 120; proxy_buffer_size 16k; proxy_buffers 32 32k; proxy_busy_buffers_size 64k; proxy_temp_file_write_size 64k; } location /nginx_status { stub_status on; access_log off; allow 127.0.0.1; deny all; } } include /usr/local/nginx/vhosts/*.conf; } here is my vhost conf: # cat /usr/local/nginx/vhosts/1.conf server { listen <virt ip>:81 default rcvbuf=8192 sndbuf=16384 backlog=32000; # Real IP here server_name <virt domain name>.com ; # "_" is for handle all hosts that are not described by server_name charset off; access_log /var/log/nginx_host_general.access.log main; location / { proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for; proxy_pass http://<virt ip>; # Real IP here client_max_body_size 16m; client_body_buffer_size 128k; proxy_buffering on; proxy_connect_timeout 90; proxy_send_timeout 90; proxy_read_timeout 120; proxy_buffer_size 16k; proxy_buffers 32 32k; proxy_busy_buffers_size 64k; proxy_temp_file_write_size 64k; } }

    Read the article

  • MSDN Search Help

    - by George Evjen
    Looks like MSDN has made a change to their search. If you navigate to http://msdn.microsoft.com You will see their search on the top of the page. If you put in a search term, Silverlight DataBinding You will see results that are pulled from the forums of msdn, stackover flow and a few other places. You will also be able to see the number of replies to the thread and the threads that have been answered. Great resource..

    Read the article

  • Using Node.js as an accelerator for WCF REST services

    - by Elton Stoneman
    Node.js is a server-side JavaScript platform "for easily building fast, scalable network applications". It's built on Google's V8 JavaScript engine and uses an (almost) entirely async event-driven processing model, running in a single thread. If you're new to Node and your reaction is "why would I want to run JavaScript on the server side?", this is the headline answer: in 150 lines of JavaScript you can build a Node.js app which works as an accelerator for WCF REST services*. It can double your messages-per-second throughput, halve your CPU workload and use one-fifth of the memory footprint, compared to the WCF services direct.   Well, it can if: 1) your WCF services are first-class HTTP citizens, honouring client cache ETag headers in request and response; 2) your services do a reasonable amount of work to build a response; 3) your data is read more often than it's written. In one of my projects I have a set of REST services in WCF which deal with data that only gets updated weekly, but which can be read hundreds of times an hour. The services issue ETags and will return a 304 if the client sends a request with the current ETag, which means in the most common scenario the client uses its local cached copy. But when the weekly update happens, then all the client caches are invalidated and they all need the same new data. Then the service will get hundreds of requests with old ETags, and they go through the full service stack to build the same response for each, taking up threads and processing time. Part of that processing means going off to a database on a separate cloud, which introduces more latency and downtime potential.   We can use ASP.NET output caching with WCF to solve the repeated processing problem, but the server will still be thread-bound on incoming requests, and to get the current ETags reliably needs a database call per request. The accelerator solves that by running as a proxy - all client calls come into the proxy, and the proxy routes calls to the underlying REST service. We could use Node as a straight passthrough proxy and expect some benefit, as the server would be less thread-bound, but we would still have one WCF and one database call per proxy call. But add some smart caching logic to the proxy, and share ETags between Node and WCF (so the proxy doesn't even need to call the servcie to get the current ETag), and the underlying service will only be invoked when data has changed, and then only once - all subsequent client requests will be served from the proxy cache.   I've built this as a sample up on GitHub: NodeWcfAccelerator on sixeyed.codegallery. Here's how the architecture looks:     The code is very simple. The Node proxy runs on port 8010 and all client requests target the proxy. If the client request has an ETag header then the proxy looks up the ETag in the tag cache to see if it is current - the sample uses memcached to share ETags between .NET and Node. If the ETag from the client matches the current server tag, the proxy sends a 304 response with an empty body to the client, telling it to use its own cached version of the data. If the ETag from the client is stale, the proxy looks for a local cached version of the response, checking for a file named after the current ETag. If that file exists, its contents are returned to the client as the body in a 200 response, which includes the current ETag in the header. If the proxy does not have a local cached file for the service response, it calls the service, and writes the WCF response to the local cache file, and to the body of a 200 response for the client. So the WCF service is only troubled if both client and proxy have stale (or no) caches.   The only (vaguely) clever bit in the sample is using the ETag cache, so the proxy can serve cached requests without any communication with the underlying service, which it does completely generically, so the proxy has no notion of what it is serving or what the services it proxies are doing. The relative path from the URL is used as the lookup key, so there's no shared key-generation logic between .NET and Node, and when WCF stores a tag it also stores the "read" URL against the ETag so it can be used for a reverse lookup, e.g:   Key Value /WcfSampleService/PersonService.svc/rest/fetch/3 "28cd4796-76b8-451b-adfd-75cb50a50fa6" "28cd4796-76b8-451b-adfd-75cb50a50fa6" /WcfSampleService/PersonService.svc/rest/fetch/3    In Node we read the cache using the incoming URL path as the key and we know that "28cd4796-76b8-451b-adfd-75cb50a50fa6" is the current ETag; we look for a local cached response in /caches/28cd4796-76b8-451b-adfd-75cb50a50fa6.body (and the corresponding .header file which contains the original service response headers, so the proxy response is exactly the same as the underlying service). When the data is updated, we need to invalidate the ETag cache – which is why we need the reverse lookup in the cache. In the WCF update service, we don't need to know the URL of the related read service - we fetch the entity from the database, do a reverse lookup on the tag cache using the old ETag to get the read URL, update the new ETag against the URL, store the new reverse lookup and delete the old one.   Running Apache Bench against the two endpoints gives the headline performance comparison. Making 1000 requests with concurrency of 100, and not sending any ETag headers in the requests, with the Node proxy I get 102 requests handled per second, average response time of 975 milliseconds with 90% of responses served within 850 milliseconds; going direct to WCF with the same parameters, I get 53 requests handled per second, mean response time of 1853 milliseconds, with 90% of response served within 3260 milliseconds. Informally monitoring server usage during the tests, Node maxed at 20% CPU and 20Mb memory; IIS maxed at 60% CPU and 100Mb memory.   Note that the sample WCF service does a database read and sleeps for 250 milliseconds to simulate a moderate processing load, so this is *not* a baseline Node-vs-WCF comparison, but for similar scenarios where the  service call is expensive but applicable to numerous clients for a long timespan, the performance boost from the accelerator is considerable.     * - actually, the accelerator will work nicely for any HTTP request, where the URL (path + querystring) uniquely identifies a resource. In the sample, there is an assumption that the ETag is a GUID wrapped in double-quotes (e.g. "28cd4796-76b8-451b-adfd-75cb50a50fa6") – which is the default for WCF services. I use that assumption to name the cache files uniquely, but it is a trivial change to adapt to other ETag formats.

    Read the article

  • weather-indicator: networking error: HTTP Error 403: Forbidden?

    - by quanta
    Here're the ~/.cache/indicator-weather.log: [Fetcher] 2012-11-24 11:45:52,619 - DEBUG - Indicator: getWeather for location 'Hanoi, Ha N?i, Vietnam' [Fetcher] 2012-11-24 11:45:52,620 - DEBUG - Indicator: getWeather: updating weather report [Fetcher] 2012-11-24 11:45:52,620 - DEBUG - Location: default weather source 'Google' chosen for 'Hanoi' [Fetcher] 2012-11-24 11:45:53,019 - ERROR - Indicator: networking error: HTTP Error 403: Forbidden [Fetcher] 2012-11-24 11:45:53,020 - DEBUG - Indicator: updateWeather: waiting for 'Cacher' thread to terminate [Fetcher] 2012-11-24 11:45:53,020 - ERROR - Indicator: updateWeather: could not get weather, leaving cached data

    Read the article

  • What is the difference between "contracting" and "consulting"? [closed]

    - by Rice Flour Cookies
    Possible Duplicate: Contractor vs Consultant I read a discussion thread on Slashdot the other day where some developers were discussing taking on "consulting" and "contracting" jobs. My understanding is that both of these terms imply an individual selling his services as a programmer on his own terms as opposed to working for an employer. What is the difference between these two: "consulting" and "contracting"?

    Read the article

  • Asynchronous connectToServer

    - by Pavel Bucek
    Users of JSR-356 – Java API for WebSocket are probably familiar with WebSocketContainer#connectToServer method. This article will be about its usage and improvement which was introduce in recent Tyrus release. WebSocketContainer#connectToServer does what is says, it connects to WebSocketServerEndpoint deployed on some compliant container. It has two or three parameters (depends on which representation of client endpoint are you providing) and returns aSession. Returned Session represents WebSocket connection and you are instantly able to send messages, register MessageHandlers, etc. An issue might appear when you are trying to create responsive user interface and use this method – its execution blocks until Session is created which usually means some container needs to be started, DNS queried, connection created (it’s even more complicated when there is some proxy on the way), etc., so nothing which might be really considered as responsive. Trivial and correct solution is to do this in another thread and monitor the result, but.. why should users do that? :-) Tyrus now provides async* versions of all connectToServer methods, which performs only simple (=fast) check in the same thread and then fires a new one and performs all other tasks there. Return type of these methods is Future<Session>. List of added methods: public Future<Session> asyncConnectToServer(Class<?> annotatedEndpointClass, URI path) public Future<Session> asyncConnectToServer(Class<? extends Endpoint>  endpointClass, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Endpoint endpointInstance, ClientEndpointConfig cec, URI path) public Future<Session> asyncConnectToServer(Object obj, URI path) As you can see, all connectToServer variants have its async* alternative. All these methods do throw DeploymentException, same as synchronous variants, but some of these errors cannot be thrown as a result of the first method call, so you might get it as the cause ofExecutionException thrown when Future<Session>.get() is called. Please let us know if you find these newly added methods useful or if you would like to change something (signature, functionality, …) – you can send us a comment to [email protected] or ping me personally. Related links: https://tyrus.java.net https://java.net/jira/browse/TYRUS/ https://github.com/tyrus-project/tyrus

    Read the article

  • Error compiling GLib in Ubuntu 14.04 (trying to install GimpShop)

    - by Nicolás Salvarrey
    I'm kinda new in Linux, so please take it easy on the most complicated stuff. I'm trying to install GimpShop. Installation guide asks me to install GLib first, and when I try to compile it using the make command I get errors. When I run the ./configure --prefix=/usr command, I get this: checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for gawk... no checking for mawk... mawk checking whether make sets $(MAKE)... yes checking whether to enable maintainer-specific portions of Makefiles... no checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking for the BeOS... no checking for Win32... no checking whether to enable garbage collector friendliness... no checking whether to disable memory pools... no checking for gcc... gcc checking for C compiler default output file name... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for suffix of executables... checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ANSI C... none needed checking for style of include used by make... GNU checking dependency style of gcc... gcc3 checking for c++... no checking for g++... no checking for gcc... gcc checking whether we are using the GNU C++ compiler... no checking whether gcc accepts -g... no checking dependency style of gcc... gcc3 checking for gcc option to accept ANSI C... none needed checking for a BSD-compatible install... /usr/bin/install -c checking for special C compiler options needed for large files... no checking for _FILE_OFFSET_BITS value needed for large files... no checking for _LARGE_FILES value needed for large files... no checking for pkg-config... /usr/bin/pkg-config checking for gawk... (cached) mawk checking for perl5... no checking for perl... perl checking for indent... no checking for perl... /usr/bin/perl checking for iconv_open... yes checking how to run the C preprocessor... gcc -E checking for egrep... grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking locale.h usability... yes checking locale.h presence... yes checking for locale.h... yes checking for LC_MESSAGES... yes checking libintl.h usability... yes checking libintl.h presence... yes checking for libintl.h... yes checking for ngettext in libc... yes checking for dgettext in libc... yes checking for bind_textdomain_codeset... yes checking for msgfmt... /usr/bin/msgfmt checking for dcgettext... yes checking for gmsgfmt... /usr/bin/msgfmt checking for xgettext... /usr/bin/xgettext checking for catalogs to be installed... am ar az be bg bn bs ca cs cy da de el en_CA en_GB eo es et eu fa fi fr ga gl gu he hi hr id is it ja ko lt lv mk mn ms nb ne nl nn no or pa pl pt pt_BR ro ru sk sl sq sr sr@ije sr@Latn sv ta tl tr uk vi wa xh yi zh_CN zh_TW checking for a sed that does not truncate output... /bin/sed checking for ld used by gcc... /usr/bin/ld checking if the linker (/usr/bin/ld) is GNU ld... yes checking for /usr/bin/ld option to reload object files... -r checking for BSD-compatible nm... /usr/bin/nm -B checking whether ln -s works... yes checking how to recognise dependent libraries... pass_all checking dlfcn.h usability... yes checking dlfcn.h presence... yes checking for dlfcn.h... yes checking for g77... no checking for f77... no checking for xlf... no checking for frt... no checking for pgf77... no checking for fort77... no checking for fl32... no checking for af77... no checking for f90... no checking for xlf90... no checking for pgf90... no checking for epcf90... no checking for f95... no checking for fort... no checking for xlf95... no checking for ifc... no checking for efc... no checking for pgf95... no checking for lf95... no checking for gfortran... no checking whether we are using the GNU Fortran 77 compiler... no checking whether accepts -g... no checking the maximum length of command line arguments... 32768 checking command to parse /usr/bin/nm -B output from gcc object... ok checking for objdir... .libs checking for ar... ar checking for ranlib... ranlib checking for strip... strip checking if gcc static flag works... yes checking if gcc supports -fno-rtti -fno-exceptions... no checking for gcc option to produce PIC... -fPIC checking if gcc PIC flag -fPIC works... yes checking if gcc supports -c -o file.o... yes checking whether the gcc linker (/usr/bin/ld -m elf_x86_64) supports shared libraries... yes checking whether -lc should be explicitly linked in... no checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... yes checking whether to build static libraries... no configure: creating libtool appending configuration tag "CXX" to libtool appending configuration tag "F77" to libtool checking for extra flags to get ANSI library prototypes... none needed checking for extra flags for POSIX compliance... none needed checking for ANSI C header files... (cached) yes checking for vprintf... yes checking for _doprnt... no checking for working alloca.h... yes checking for alloca... yes checking for atexit... yes checking for on_exit... yes checking for char... yes checking size of char... 1 checking for short... yes checking size of short... 2 checking for long... yes checking size of long... 8 checking for int... yes checking size of int... 4 checking for void *... yes checking size of void *... 8 checking for long long... yes checking size of long long... 8 checking for __int64... no checking size of __int64... 0 checking for format to printf and scanf a guint64... %llu checking for an ANSI C-conforming const... yes checking if malloc() and friends prototypes are gmem.h compatible... no checking for growing stack pointer... yes checking for __inline... yes checking for __inline__... yes checking for inline... yes checking if inline functions in headers work... yes checking for ISO C99 varargs macros in C... yes checking for ISO C99 varargs macros in C++... no checking for GNUC varargs macros... yes checking for GNUC visibility attribute... yes checking whether byte ordering is bigendian... no checking dirent.h usability... yes checking dirent.h presence... yes checking for dirent.h... yes checking float.h usability... yes checking float.h presence... yes checking for float.h... yes checking limits.h usability... yes checking limits.h presence... yes checking for limits.h... yes checking pwd.h usability... yes checking pwd.h presence... yes checking for pwd.h... yes checking sys/param.h usability... yes checking sys/param.h presence... yes checking for sys/param.h... yes checking sys/poll.h usability... yes checking sys/poll.h presence... yes checking for sys/poll.h... yes checking sys/select.h usability... yes checking sys/select.h presence... yes checking for sys/select.h... yes checking for sys/types.h... (cached) yes checking sys/time.h usability... yes checking sys/time.h presence... yes checking for sys/time.h... yes checking sys/times.h usability... yes checking sys/times.h presence... yes checking for sys/times.h... yes checking for unistd.h... (cached) yes checking values.h usability... yes checking values.h presence... yes checking for values.h... yes checking for stdint.h... (cached) yes checking sched.h usability... yes checking sched.h presence... yes checking for sched.h... yes checking langinfo.h usability... yes checking langinfo.h presence... yes checking for langinfo.h... yes checking for nl_langinfo... yes checking for nl_langinfo and CODESET... yes checking whether we are using the GNU C Library 2.1 or newer... yes checking stddef.h usability... yes checking stddef.h presence... yes checking for stddef.h... yes checking for stdlib.h... (cached) yes checking for string.h... (cached) yes checking for setlocale... yes checking for size_t... yes checking size of size_t... 8 checking for the appropriate definition for size_t... unsigned long checking for lstat... yes checking for strerror... yes checking for strsignal... yes checking for memmove... yes checking for mkstemp... yes checking for vsnprintf... yes checking for stpcpy... yes checking for strcasecmp... yes checking for strncasecmp... yes checking for poll... yes checking for getcwd... yes checking for nanosleep... yes checking for vasprintf... yes checking for setenv... yes checking for unsetenv... yes checking for getc_unlocked... yes checking for readlink... yes checking for symlink... yes checking for C99 vsnprintf... yes checking whether printf supports positional parameters... yes checking for signed... yes checking for long long... (cached) yes checking for long double... yes checking for wchar_t... yes checking for wint_t... yes checking for size_t... (cached) yes checking for ptrdiff_t... yes checking for inttypes.h... yes checking for stdint.h... yes checking for snprintf... yes checking for C99 snprintf... yes checking for sys_errlist... yes checking for sys_siglist... yes checking for sys_siglist declaration... yes checking for fd_set... yes, found in sys/types.h checking whether realloc (NULL,) will work... yes checking for nl_langinfo (CODESET)... yes checking for OpenBSD strlcpy/strlcat... no checking for an implementation of va_copy()... yes checking for an implementation of __va_copy()... yes checking whether va_lists can be copied by value... no checking for dlopen... no checking for NSLinkModule... no checking for dlopen in -ldl... yes checking for dlsym in -ldl... yes checking for RTLD_GLOBAL brokenness... no checking for preceeding underscore in symbols... no checking for dlerror... yes checking for the suffix of shared libraries... .so checking for gspawn implementation... gspawn.lo checking for GIOChannel implementation... giounix.lo checking for platform-dependent source... checking whether to compile timeloop... yes checking if building for some Win32 platform... no checking for thread implementation... posix checking thread related cflags... -pthread checking for sched_get_priority_min... yes checking thread related libraries... -pthread checking for localtime_r... yes checking for posix getpwuid_r... yes checking size of pthread_t... 8 checking for pthread_attr_setstacksize... yes checking for minimal/maximal thread priority... sched_get_priority_min(SCHED_OTHER)/sched_get_priority_max(SCHED_OTHER) checking for pthread_setschedparam... yes checking for posix yield function... sched_yield checking size of pthread_mutex_t... 40 checking byte contents of PTHREAD_MUTEX_INITIALIZER... 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0 checking whether to use assembler code for atomic operations... x86_64 checking value of POLLIN... 1 checking value of POLLOUT... 4 checking value of POLLPRI... 2 checking value of POLLERR... 8 checking value of POLLHUP... 16 checking value of POLLNVAL... 32 checking for EILSEQ... yes configure: creating ./config.status config.status: creating glib-2.0.pc config.status: creating glib-2.0-uninstalled.pc config.status: creating gmodule-2.0.pc config.status: creating gmodule-no-export-2.0.pc config.status: creating gmodule-2.0-uninstalled.pc config.status: creating gthread-2.0.pc config.status: creating gthread-2.0-uninstalled.pc config.status: creating gobject-2.0.pc config.status: creating gobject-2.0-uninstalled.pc config.status: creating glib-zip config.status: creating glib-gettextize config.status: creating Makefile config.status: creating build/Makefile config.status: creating build/win32/Makefile config.status: creating build/win32/dirent/Makefile config.status: creating glib/Makefile config.status: creating glib/libcharset/Makefile config.status: creating glib/gnulib/Makefile config.status: creating gmodule/Makefile config.status: creating gmodule/gmoduleconf.h config.status: creating gobject/Makefile config.status: creating gobject/glib-mkenums config.status: creating gthread/Makefile config.status: creating po/Makefile.in config.status: creating docs/Makefile config.status: creating docs/reference/Makefile config.status: creating docs/reference/glib/Makefile config.status: creating docs/reference/glib/version.xml config.status: creating docs/reference/gobject/Makefile config.status: creating docs/reference/gobject/version.xml config.status: creating tests/Makefile config.status: creating tests/gobject/Makefile config.status: creating m4macros/Makefile config.status: creating config.h config.status: config.h is unchanged config.status: executing depfiles commands config.status: executing default-1 commands config.status: executing glibconfig.h commands config.status: glibconfig.h is unchanged config.status: executing chmod-scripts commands nsalvarrey@Delleuze:~/glib-2.6.3$ ^C nsalvarrey@Delleuze:~/glib-2.6.3$ And then, with the make command, I get this: galias.h:83:39: error: 'g_ascii_digit_value' aliased to undefined symbol 'IA__g_ascii_digit_value' extern __typeof (g_ascii_digit_value) g_ascii_digit_value __attribute((alias("IA__g_ascii_digit_value"), visibility("default"))); ^ In file included from garray.c:35:0: galias.h:31:35: error: 'g_allocator_new' aliased to undefined symbol 'IA__g_allocator_new' extern __typeof (g_allocator_new) g_allocator_new __attribute((alias("IA__g_allocator_new"), visibility("default"))); ^ make[4]: *** [garray.lo] Error 1 make[4]: se sale del directorio «/home/nsalvarrey/glib-2.6.3/glib» make[3]: *** [all-recursive] Error 1 make[3]: se sale del directorio «/home/nsalvarrey/glib-2.6.3/glib» make[2]: *** [all] Error 2 make[2]: se sale del directorio «/home/nsalvarrey/glib-2.6.3/glib» make[1]: *** [all-recursive] Error 1 make[1]: se sale del directorio «/home/nsalvarrey/glib-2.6.3» make: *** [all] Error 2 nsalvarrey@Delleuze:~/glib-2.6.3$ (it's actually a lot longer) Can somebody help me?

    Read the article

< Previous Page | 152 153 154 155 156 157 158 159 160 161 162 163  | Next Page >