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  • How to manage long running background threads and report progress with DDD

    - by Mr Happy
    Title says most of it. I have found surprising little information about this. I have a long running operation of which the user wants to see the progress (as in, item x of y processed). I also need to be able to pause and stop the operation. (Stopping doesn't rollback the items already processed.) The thing is, it's not that each item takes a long time to get processed, it's that that there are usually a lot of items. And what I've read about so far is that it's somewhat of an anti-pattern to put something like a queue in the DB. I currently don't have any messaging system in place, and I've never worked with one either. Another thing I read somewhere is that progress reporting is something that belongs in the application layer, but it didn't go into the details. So having said all this, what I have in mind is the following. User request with list of items enters the application layer. Application layer gets some information from the domain needed to process the items. Application layer passes the items and the information off to some domain service (should the implementation of this service belong in the infrastructure layer?) This service spins up a worker thread with callbacks for both progress reporting and pausing/stopping it. This worker thread will process each item in it's own UoW. This means the domain information from earlier needs to be stored in some DTO. Since nothing is really persisted, the service should be singleton and thread safe Whenever a user requests a progress report or wants to pause/stop the operation, the application layer will ask the service. Would this be a correct solution? Or am I at least on the right track with this? Especially the singleton and thread safe part makes the whole thing feel icky.

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  • Are my actual worker threads exceeding the sp_configure 'max worker threads' value?

    Tom Stringer (@SQLife) was working on some HADR testing for a customer to simulate many availability groups and introduce significant load into the system to measure overhead and such. In his quest to do that he was seeing behavior that he couldn’t really explain and so worked with him to uncover what was happening under the covers. Understand Locking, Blocking & Row VersioningRead Kalen Delaney's eBook to understand SQL Server concurrency, and use SQL Monitor to pinpoint excessive blocking and deadlocking. Download free resources.

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  • Selecting the Normal Threads Between the Engines

    In order to retain their benefits relevant, most search engines require to comprehend the principal topic of the Internet site. You are able to aid the search engines find your Site through keeping in thoughts the three significant components they're searching for: -Website content: Content could be the meat and bones of your respective Website. It can be every one of the information your Web page is made up of, not simply the words and phrases but also the Engagement Subjects (the illustrations or photos, videos, sound, interactive systems, and etc that constitute the visible area).

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  • MySQLwith mutiple threads and processes

    - by Abhan
    I'm developing a telecom messaging platform in C, and I'm going to need multiple processes to be working with MySQL DB. How can I make two processes read/write to/from a Mysql DB and, if/when one of them goes down, get the other to seamlessly take over the work until the dead process gets back to work? I was thinking/googling some options and am stuck in place where I don't know which one to choose. What I think so far is that table lock is not the best option to go for, as it will stall the other process until the table is unlocked. The other option is to use row-level locks or manual locks, but I can't find the best way to do it.

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  • Communication between Box2D and libGDX Stage (Scene2D) running in separate threads

    - by atok
    I'm making a physics based 2D game using libGDX and Box2D. I want to move the execution of the simulation out of render thread. I use immutable messages and the BlockingQueue to pass the information about player actions. The Box2D applies forces and runs a frame of simulation. In the next step I would like to sync back the changes and update Scene2D Actors accordingly. Making an immutable copy of the state of the game world and sending it back using Gdx.app.postRunnable() is one option but it seems inefficient. Is there any other option?

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  • Do threads delete themselves?

    - by Prog
    Let's say I was working on a Swing application. Most of it is run on the EDT using SwingUtilities.invokeLater() inside the main method, because I heard (please correct me if I'm wrong) that that's what you need to do with Swing. However, some parts of it shouldn't run on the EDT. These parts are parts that take long to complete (I assume that this is because long tasks on the EDT will interfere with GUI stuff the EDT should be doing, and thus these kinds of tasks should be run on parallel, on a different thread. Is this assumption correct?) To do this, when I need to perform a task that takes long to complete and thus can't be run on the EDT like the rest of the program, I create a new thread and run that task inside it. My question is: When the run() method of that new thread finishes, aka the thread finished it's job. Does it delete itself? Or does it keep existing in the memory?

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  • How many threads should an Android game use?

    - by kvance
    At minimum, an OpenGL Android game has a UI thread and a Renderer thread created by GLSurfaceView. Renderer.onDrawFrame() should be doing a minimum of work to get the higest FPS. The physics, AI, etc. don't need to run every frame, so we can put those in another thread. Now we have: Renderer thread - Update animations and draw polys Game thread - Logic & periodic physics, AI, etc. updates UI thread - Android UI interaction only Since you don't ever want to block the UI thread, I run one more thread for the game logic. Maybe that's not necessary though? Is there ever a reason to run game logic in the renderer thread?

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  • MySQL with mutiple threads and processes

    - by Abhan
    I'm developing a telecom messaging platform in C, and I'm going to need multiple processes to be working with MySQL DB. How can I make two processes read/write to/from a Mysql DB and, if/when one of them goes down, get the other to seamlessly take over the work until the dead process gets back to work? I was thinking/googling some options and am stuck in place where I don't know which one to choose. What I think so far is that table lock is not the best option to go for, as it will stall the other process until the table is unlocked. The other option is to use row-level locks or manual locks, but I can't find the best way to do it.

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  • Selecting the Common Threads Amongst the Search Engines

    To retain their effects applicable, almost all search engines need to have an understanding of the principal subject of the Site. You can aid the search engines come across your Website by simply preserving in mind the three major elements they are in search of: -Written content: Written content is the heart and soul of one's Internet site. It can be all the information your Site contains, not merely the text but additionally the Engagement Subjects (the illustrations or photos, movies, sound, interactive technologies, and so on that will constitute the visible space).

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  • Avoiding Heap Contention Among Threads

    Allocating memory from the system heap can be an expensive operation due to a lock used by system runtime libraries to synchronize access to the heap. Contention on this lock can limit the performance benefits from multithreading. Learn how to solve this problem.

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  • Avoiding Heap Contention Among Threads

    Allocating memory from the system heap can be an expensive operation due to a lock used by system runtime libraries to synchronize access to the heap. Contention on this lock can limit the performance benefits from multithreading. Learn how to solve this problem.

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  • Application doesn't exit with 0 threads

    - by Bryce Wagner
    We have a WinForms desktop application, which is heavily multithreaded. 3 threads run with Application.Run and a bunch of other background worker threads. Getting all the threads to shut down properly was kind of tricky, but I thought I finally got it right. But when we actually deployed the application, users started experiencing the application not exiting. There's a System.Threading.Mutex to prevent them from running the app multiple times, so they have to go into task manager and kill the old one before they can run it again. Every thread gets a Thread.Join before the main thread exits, and I added logging to each thread I spawn. According to the log, every single thread that starts also exits, and the main thread also exits. Even stranger, running SysInternals ProcessExplorer show all the threads disappear when the application exits. As in, there are 0 threads (managed or unmanaged), but the process is still running. I can't reproduce this on any developers computers or our test environment, and so far I've only seen it happen on Windows XP (not Vista or Windows 7 or any Windows Server). How can a process keep running with 0 threads?

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  • Tomcat 6 going down after reaching its maximum number of threads

    - by user73628
    Our Tomcat 6.0.29 goes down after reaching its maximum number of Threads. I would really appreciate any help with it because it is a production server. Here is part of the catalina.log file: INFO: Maximum number of threads (600) created for connector with address null and port 80 Mar 8, 2011 11:19:37 AM org.apache.coyote.http11.Http11Protocol pause INFO: Pausing Coyote HTTP/1.1 on http-80 Mar 8, 2011 11:19:38 AM org.apache.catalina.core.StandardService stop INFO: Stopping service Catalina Mar 8, 2011 11:19:38 AM org.apache.catalina.core.StandardWrapper unload INFO: Waiting for 8 instance(s) to be deallocated

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  • Tomcat 6 going down after reaching its maximum number of threads

    - by user73628
    Our Tomcat 6.0.29 goes down after reaching its maximum number of Threads. I would really appreciate any help with it because it is a production server. Here is part of the catalina.log file: INFO: Maximum number of threads (600) created for connector with address null and port 80 Mar 8, 2011 11:19:37 AM org.apache.coyote.http11.Http11Protocol pause INFO: Pausing Coyote HTTP/1.1 on http-80 Mar 8, 2011 11:19:38 AM org.apache.catalina.core.StandardService stop INFO: Stopping service Catalina Mar 8, 2011 11:19:38 AM org.apache.catalina.core.StandardWrapper unload INFO: Waiting for 8 instance(s) to be deallocated

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  • How can I simulate this application hang scenario?

    - by Pwninstein
    I have a Windows Forms app that itself launches different threads to do different kinds of work. Occasionally, ALL threads (including the UI thread) become frozen, and my app becomes unresponsive. I've decided it may be a Garbage Collector-related issue, as the GC will freeze all managed threads temporarily. To verify that just managed threads are frozen, I spin up an unmanaged one that writes to a "heartbeat" file with a timestamp every second, and it is not affected (i.e. it still runs): public delegate void ThreadProc(); [DllImport("UnmanagedTest.dll", EntryPoint = "MyUnmanagedFunction")] public static extern void MyUnmanagedFunction(); [DllImport("kernel32")] public static extern IntPtr CreateThread( IntPtr lpThreadAttributes, uint dwStackSize, IntPtr lpStartAddress, IntPtr lpParameter, uint dwCreationFlags, out uint dwThreadId); uint threadId; ThreadProc proc = new ThreadProc(MyUnmanagedFunction); IntPtr functionPointer = Marshal.GetFunctionPointerForDelegate(proc); IntPtr threadHandle = CreateThread(IntPtr.Zero, 0, functionPointer, IntPtr.Zero, 0, out threadId); My Question is: how can I simulate this situation, where all managed threads are suspended but unmanaged ones keep on spinning? My first stab: private void button1_Click(object sender, EventArgs e) { Thread t = new Thread(new ThreadStart(delegate { new Hanger(); GC.Collect(2, GCCollectionMode.Forced); })); t.Start(); } class Hanger{ private int[] m_Integers = new int[10000000]; public Hanger() { } ~Hanger() { Console.WriteLine("About to hang..."); //This doesn't reproduce the desired behavior //while (true) ; //Neither does this //Thread.Sleep(System.Threading.Timeout.Infinite); } } Thanks in advance!!

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  • How to pipe two CORE::system commands in a cross-platform way

    - by Pedro Silva
    I'm writing a System::Wrapper module to abstract away from CORE::system and the qx operator. I have a serial method that attempts to connect command1's output to command2's input. I've made some progress using named pipes, but POSIX::mkfifo is not cross-platform. Here's part of what I have so far (the run method at the bottom basically calls system): package main; my $obj1 = System::Wrapper->new( interpreter => 'perl', arguments => [-pe => q{''}], input => ['input.txt'], description => 'Concatenate input.txt to STDOUT', ); my $obj2 = System::Wrapper->new( interpreter => 'perl', arguments => [-pe => q{'$_ = reverse $_}'}], description => 'Reverse lines of input input', output => { '>' => 'output' }, ); $obj1->serial( $obj2 ); package System::Wrapper; #... sub serial { my ($self, @commands) = @_; eval { require POSIX; POSIX->import(); require threads; }; my $tmp_dir = File::Spec->tmpdir(); my $last = $self; my @threads; push @commands, $self; for my $command (@commands) { croak sprintf "%s::serial: type of args to serial must be '%s', not '%s'", ref $self, ref $self, ref $command || $command unless ref $command eq ref $self; my $named_pipe = File::Spec->catfile( $tmp_dir, int \$command ); POSIX::mkfifo( $named_pipe, 0777 ) or croak sprintf "%s::serial: couldn't create named pipe %s: %s", ref $self, $named_pipe, $!; $last->output( { '>' => $named_pipe } ); $command->input( $named_pipe ); push @threads, threads->new( sub{ $last->run } ); $last = $command; } $_->join for @threads; } #... My specific questions: Is there an alternative to POSIX::mkfifo that is cross-platform? Win32 named pipes don't work, as you can't open those as regular files, neither do sockets, for the same reasons. The above doesn't quite work; the two threads get spawned correctly, but nothing flows across the pipe. I suppose that might have something to do with pipe deadlocking or output buffering. What throws me off is that when I run those two commands in the actual shell, everything works as expected.

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  • MySQL Cluster 7.2: Over 8x Higher Performance than Cluster 7.1

    - by Mat Keep
    0 0 1 893 5092 Homework 42 11 5974 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} Summary The scalability enhancements delivered by extensions to multi-threaded data nodes enables MySQL Cluster 7.2 to deliver over 8x higher performance than the previous MySQL Cluster 7.1 release on a recent benchmark What’s New in MySQL Cluster 7.2 MySQL Cluster 7.2 was released as GA (Generally Available) in February 2012, delivering many enhancements to performance on complex queries, new NoSQL Key / Value API, cross-data center replication and ease-of-use. These enhancements are summarized in the Figure below, and detailed in the MySQL Cluster New Features whitepaper Figure 1: Next Generation Web Services, Cross Data Center Replication and Ease-of-Use Once of the key enhancements delivered in MySQL Cluster 7.2 is extensions made to the multi-threading processes of the data nodes. Multi-Threaded Data Node Extensions The MySQL Cluster 7.2 data node is now functionally divided into seven thread types: 1) Local Data Manager threads (ldm). Note – these are sometimes also called LQH threads. 2) Transaction Coordinator threads (tc) 3) Asynchronous Replication threads (rep) 4) Schema Management threads (main) 5) Network receiver threads (recv) 6) Network send threads (send) 7) IO threads Each of these thread types are discussed in more detail below. MySQL Cluster 7.2 increases the maximum number of LDM threads from 4 to 16. The LDM contains the actual data, which means that when using 16 threads the data is more heavily partitioned (this is automatic in MySQL Cluster). Each LDM thread maintains its own set of data partitions, index partitions and REDO log. The number of LDM partitions per data node is not dynamically configurable, but it is possible, however, to map more than one partition onto each LDM thread, providing flexibility in modifying the number of LDM threads. The TC domain stores the state of in-flight transactions. This means that every new transaction can easily be assigned to a new TC thread. Testing has shown that in most cases 1 TC thread per 2 LDM threads is sufficient, and in many cases even 1 TC thread per 4 LDM threads is also acceptable. Testing also demonstrated that in some instances where the workload needed to sustain very high update loads it is necessary to configure 3 to 4 TC threads per 4 LDM threads. In the previous MySQL Cluster 7.1 release, only one TC thread was available. This limit has been increased to 16 TC threads in MySQL Cluster 7.2. The TC domain also manages the Adaptive Query Localization functionality introduced in MySQL Cluster 7.2 that significantly enhanced complex query performance by pushing JOIN operations down to the data nodes. Asynchronous Replication was separated into its own thread with the release of MySQL Cluster 7.1, and has not been modified in the latest 7.2 release. To scale the number of TC threads, it was necessary to separate the Schema Management domain from the TC domain. The schema management thread has little load, so is implemented with a single thread. The Network receiver domain was bound to 1 thread in MySQL Cluster 7.1. With the increase of threads in MySQL Cluster 7.2 it is also necessary to increase the number of recv threads to 8. This enables each receive thread to service one or more sockets used to communicate with other nodes the Cluster. The Network send thread is a new thread type introduced in MySQL Cluster 7.2. Previously other threads handled the sending operations themselves, which can provide for lower latency. To achieve highest throughput however, it has been necessary to create dedicated send threads, of which 8 can be configured. It is still possible to configure MySQL Cluster 7.2 to a legacy mode that does not use any of the send threads – useful for those workloads that are most sensitive to latency. The IO Thread is the final thread type and there have been no changes to this domain in MySQL Cluster 7.2. Multiple IO threads were already available, which could be configured to either one thread per open file, or to a fixed number of IO threads that handle the IO traffic. Except when using compression on disk, the IO threads typically have a very light load. Benchmarking the Scalability Enhancements The scalability enhancements discussed above have made it possible to scale CPU usage of each data node to more than 5x of that possible in MySQL Cluster 7.1. In addition, a number of bottlenecks have been removed, making it possible to scale data node performance by even more than 5x. Figure 2: MySQL Cluster 7.2 Delivers 8.4x Higher Performance than 7.1 The flexAsynch benchmark was used to compare MySQL Cluster 7.2 performance to 7.1 across an 8-node Intel Xeon x5670-based cluster of dual socket commodity servers (6 cores each). As the results demonstrate, MySQL Cluster 7.2 delivers over 8x higher performance per data nodes than MySQL Cluster 7.1. More details of this and other benchmarks will be published in a new whitepaper – coming soon, so stay tuned! In a following blog post, I’ll provide recommendations on optimum thread configurations for different types of server processor. You can also learn more from the Best Practices Guide to Optimizing Performance of MySQL Cluster Conclusion MySQL Cluster has achieved a range of impressive benchmark results, and set in context with the previous 7.1 release, is able to deliver over 8x higher performance per node. As a result, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs.

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  • Configuring MySQL Cluster Data Nodes

    - by Mat Keep
    0 0 1 692 3948 Homework 32 9 4631 14.0 Normal 0 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} In my previous blog post, I discussed the enhanced performance and scalability delivered by extensions to the multi-threaded data nodes in MySQL Cluster 7.2. In this post, I’ll share best practices on the configuration of data nodes to achieve optimum performance on the latest generations of multi-core, multi-thread CPU designs. Configuring the Data Nodes The configuration of data node threads can be managed in two ways via the config.ini file: - Simply set MaxNoOfExecutionThreads to the appropriate number of threads to be run in the data node, based on the number of threads presented by the processors used in the host or VM. - Use the new ThreadConfig variable that enables users to configure both the number of each thread type to use and also which CPUs to bind them too. The flexible configuration afforded by the multi-threaded data node enhancements means that it is possible to optimise data nodes to use anything from a single CPU/thread up to a 48 CPU/thread server. Co-locating the MySQL Server with a single data node can fully utilize servers with 64 – 80 CPU/threads. It is also possible to co-locate multiple data nodes per server, but this is now only required for very large servers with 4+ CPU sockets dense multi-core processors. 24 Threads and Beyond! An example of how to make best use of a 24 CPU/thread server box is to configure the following: - 8 ldm threads - 4 tc threads - 3 recv threads - 3 send threads - 1 rep thread for asynchronous replication. Each of those threads should be bound to a CPU. It is possible to bind the main thread (schema management domain) and the IO threads to the same CPU in most installations. In the configuration above, we have bound threads to 20 different CPUs. We should also protect these 20 CPUs from interrupts by using the IRQBALANCE_BANNED_CPUS configuration variable in /etc/sysconfig/irqbalance and setting it to 0x0FFFFF. The reason for doing this is that MySQL Cluster generates a lot of interrupt and OS kernel processing, and so it is recommended to separate activity across CPUs to ensure conflicts with the MySQL Cluster threads are eliminated. When booting a Linux kernel it is also possible to provide an option isolcpus=0-19 in grub.conf. The result is that the Linux scheduler won't use these CPUs for any task. Only by using CPU affinity syscalls can a process be made to run on those CPUs. By using this approach, together with binding MySQL Cluster threads to specific CPUs and banning CPUs IRQ processing on these tasks, a very stable performance environment is created for a MySQL Cluster data node. On a 32 CPU/Thread server: - Increase the number of ldm threads to 12 - Increase tc threads to 6 - Provide 2 more CPUs for the OS and interrupts. - The number of send and receive threads should, in most cases, still be sufficient. On a 40 CPU/Thread server, increase ldm threads to 16, tc threads to 8 and increment send and receive threads to 4. On a 48 CPU/Thread server it is possible to optimize further by using: - 12 tc threads - 2 more CPUs for the OS and interrupts - Avoid using IO threads and main thread on same CPU - Add 1 more receive thread. Summary As both this and the previous post seek to demonstrate, the multi-threaded data node extensions not only serve to increase performance of MySQL Cluster, they also enable users to achieve significantly improved levels of utilization from current and future generations of massively multi-core, multi-thread processor designs. A big thanks to Mikael Ronstrom, Senior MySQL Architect at Oracle, for his work in developing these enhancements and best practices. You can download MySQL Cluster 7.2 today and try out all of these enhancements. The Getting Started guides are an invaluable aid to quickly building a Proof of Concept Don’t forget to check out the MySQL Cluster 7.2 New Features whitepaper to discover everything that is new in the latest GA release

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  • mysql thread count

    - by Ryan M.
    We have a web application that uses apache and mysql. Generally (according to Munin) our MySQL thread count sits between 2 and 4 at all times. The other day, our server almost came to a halt. HTTP requests were slow or wouldn't go through at all, SSH would work, but would take 30+ seconds to register keystrokes, etc.. So we pull up Munin and the only thing that's out of normal boundaries is the Mysql thread count. CPU usage was under 1%, load was under 1.0, plenty of available RAM. As mentioned before, the thread count floats around 2 to 4. At the time of our slow downs it had spiked to 14. So I start poking around the Internet and I see that in most cases, you'll start to see a higher thread count when you start running into slow queries. If I understand it correctly, the request comes in that takes a while to process, in the mean time other requests are coming in, so a new thread will be created to work on the request (yes?). But at the time of the slow down, we had 0 slow queries. My question is: What else can cause mysql to create additional threads. And would this sudden spike in threads possibly cause the server to slow down? To fix the issue, we restarted apache and everything went back to it's beautiful, normal self. Considering the the Server Vitals (CPU, RAM, Network, etc) were all ideal, and the thread count was the only thing out of place, this seems like the most logical thing to pursue as the possible cause. If it matters, we're on Mysql 5.1.40. Server is FreeBSD 7.2 and the server in question is inside a jail.

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  • Problem with the nonresponding threads

    - by Oxygen
    Hello there, I have a web application which runs multiple threads on button click each thread making IO call on different ipAddresses ie(login windows account and then making file operations). There is a treshold value of 30 seconds. I assume that while login attempt if the treshold is exceeded, device on ipAddress does not match my conditions thus I dont care it. Thread.Abort() does not fit my situation where it waits for the IO call to finish which might take long time. I tried doing the db operations acording to states of the threads right after the treshold timeout. It worked fine but when I checked out the log file, I noticed that the thread.IsAlive property of the nonresponding threads were still true. After several debuggings on my local pc, I encountered a possible deadlock situation (which i suspect) that my pc crashed badly. In short, do you have any idea about killing (forcefully) nonresponding threads (waiting for the IO opreation) right after the execution of the button_click? (PS: I am not using the threadpool) Oguzhan

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  • Linux Kernel Threads - scheduler

    - by Kartlee
    Hi People, Is Linux Kernel scheduler a part of init process? My understanding is that it is part of Kernel threads managed internally not visible to user by either top or ps. Please correct my understanding. Is it possible to view standard kernel threads through any kernel debugger to see how standard threads occupy cpu activity? -Kartlee

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