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  • Use hotplug and turn on/off PCI device for replacing NIC

    - by Ryota Hashimoto
    How can I turn off the PCI slots and change the device (especially NIC) without shutting the server down? I found a similar question (How do I turn off PCI devices?) but there are no /sys/bus/pci/slot and no files in /sys/bus/pci/slots. I'm using 12.04 LTS. $ uname -a Linux d1-c1-r1-p1 3.2.0-38-generic #61-Ubuntu SMP Tue Feb 19 12:18:21 UTC 2013 x86_64 x86_64 x86_64 GNU/Linux $ lspci | grep Eth 04:00.0 Ethernet controller: Intel Corporation I350 Gigabit Network Connection (rev 01) 04:00.1 Ethernet controller: Intel Corporation I350 Gigabit Network Connection (rev 01) 09:00.0 Ethernet controller: Intel Corporation 82599EB 10-Gigabit SFI/SFP+ Network Connection (rev 01) 09:00.1 Ethernet controller: Intel Corporation 82599EB 10-Gigabit SFI/SFP+ Network Connection (rev 01) $ ls /sys/bus/pci/ devices/ drivers_probe slots/ drivers/ rescan uevent drivers_autoprobe resource_alignment $ ls /sys/bus/pci/devices/0000\:04\:00.0/ broken_parity_status driver modalias rescan subsystem class enable msi_bus reset subsystem_device config firmware_node net resource subsystem_vendor consistent_dma_mask_bits irq numa_node resource0 uevent device local_cpulist power resource2 vendor dma_mask_bits local_cpus remove resource3

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  • Catch PyGTK TreeView reorder

    - by mkotechno
    I have a simple gtk.TreeView with a gtk.ListStore model and set_reorderable(True), I want to catch the signal/event emited when the user reorder through drag&drop the list, but the documentation does not help much: "The application can listen to these changes by connecting to the model's signals" So I tried to connect the model (ListStore) signals... but surprise! ListStore has no signals, so you are dispatched to TreeModel signals, then I tried to connect with the TreeModel "rows-reordered" signal with no lucky. How should I catch the list reorder performed by the user?

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  • is there a signal emiter/consumer engine (like in Django) for .NET (C#)

    - by user118657
    Has .NET (C#) anything like Django's Signals engine? Our business logic become really complicated over few years of adding new features. I'm going to re-architecture it. Currently all features are very coupled that makes regression errors while changing something one one place - some other place may be broken. I really like Django's apps idea where separate applications introduce new functionality and are absolutely separate. Communication between apps is implemented though signals. I wounder if there is something in .NET that allows to divide project business to many separated "apps" (plug-ins, zones, modules, you name it) and make communication using some kind of "signals". For example we have simple order flow. We can add "coupon app" that if exists in the project adds abilities to use discount coupon. We can add "cross sale" module that if exists adds abilities to offer cross-sale products Email notification module that if exists adds abilities to send order email notifications. But in the same time all this modules are "self-contained" means that communication between them is done using emitting signals (ORDER_PROCCESS_START, ORDER_SUCCESS, etcs) and other modules can subscribe to this signals and process them in required way. This architecture is not related to web, all business logic is processed on the server side like without working with HTTP directly. I wonder if it's good architecture from code maintaining and testing point of few, is it possible to do this in .NET? Any drawbacks that I don't realize now?

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  • Sustaining Dual Channel among many RAM modules

    - by Odys
    I'd like to know what are the factors that need to be set in order to sustain the Dual Channel mode. In a mobo with 4 DDR3 slots: Do I have to put pair of chips? Eg: If I put 3 identical chips only, will I have Dual channel or not? If I put 4 Ram chips that aren't from of same ventor/model, will I have the same latency among them (the highest of all)? Also, will I sustain Dual Channel mode? If one Ram has max frequency of 1033 and the other 3 chips are of 1300, will I have 1033Mhz for all chips and Dual Channel mode on? What if I put 2x4Gb and 2x8Gb chips (latency, Dual Channel)? Can I put 4Gb chips in slots 1 and 3 and 8Gb in slots 2 and 4 and still have dual channel mode enabled? (Some of the questions might sound silly but their answers aren't that clear to me) (Also, assume that there aren't any bottlenecks because of other parts on the system)

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  • Comet with multiple channels

    - by mark_dj
    Hello, I am writing an web app which needs to subscribe to multiple channels via javascript. I am using Atmosphere and Jersey as backend. However the jQuery plugin they work with only supports 1 channel. I've start buidling my own implementation. Now it works oke, but when i try to subscribe to 2 channels only 1 channel gets notified. Is the XMLHttpRequest blocking the rest of the XMLHttpRequests? Here's my code: function AtmosphereComet(url) { this.Connected = new signals.Signal(); this.Disconnected = new signals.Signal(); this.NewMessage = new signals.Signal(); var xhr = null; var self = this; var gotWelcomeMessage = false; var readPosition; var url = url; var onIncomingXhr = function() { if (xhr.readyState == 3) { if (xhr.status==200) // Received a message { var message = xhr.responseText; console.log(message); if(!gotWelcomeMessage && message.indexOf("") -1) { gotWelcomeMessage = true; self.Connected.dispatch(sprintf("Connected to %s", url)); } else { self.NewMessage.dispatch(message.substr(readPosition)); } readPosition = this.responseText.length; } } else if (this.readyState == 4) { self.disconnect(); } } var getXhr = function() { if ( window.location.protocol !== "file:" ) { try { return new window.XMLHttpRequest(); } catch(xhrError) {} } try { return new window.ActiveXObject("Microsoft.XMLHTTP"); } catch(activeError) {} } this.connect = function() { xhr = getXhr(); xhr.onreadystatechange = onIncomingXhr; xhr.open("GET", url, true); xhr.send(null); } this.disconnect = function() { xhr.onreadystatechange = null; xhr.abort(); } this.send = function(message) { } } And the test code: var connection1 = AtmosphereConnection("http://192.168.1.145:9999/botenveiling/b/product/status/2", AtmosphereComet); var connection2 = AtmosphereConnection("http://192.168.1.145:9999/botenveiling/b/product/status/1", AtmosphereComet); var output = function(msg) { alert(output); }; connection1.NewMessage.add(output); connection2.NewMessage.add(output); connection1.connect(); In AtmosphereConnection I instantiate the given AtmosphereComet with "new". I iterate over the object to check if it has to methods: "send", "connect", "disconnect". The reason for this is that i can switch the implementation later on when i complete the websocket implementation :) However I think the problem rests with the XmlHttpRequest object, or am i mistaken? P.S.: signals.Signal is a js observer/notifier library: http://millermedeiros.github.com/js-signals/ Testing: Firefox 3.6.1.3

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  • Coupling between controller and view

    - by cheez
    The litmus test for me for a good MVC implementation is how easy it is to swap out the view. I've always done this really badly due to being lazy but now I want to do it right. This is in C++ but it should apply equally to non-desktop applications, if I am to believe the hype. Here is one example: the application controller has to check some URL for existence in the background. It may connect to the "URL available" event (using Boost Signals) as follows: BackgroundUrlCheckerThread(Controller & controller) { // ... signalUrlAvailable.connect( boost::bind(&Controller::urlAvailable,&controller,_1)) } So what does Controller::urlAvailable look like? Here is one possibility: void Controller::urlAvailable(Url url) { if(!view->askUser("URL available, wanna download it?")) return; else // Download the url in a new thread, repeat } This, to me, seems like a gross coupling of the view and the controller. Such a coupling makes it impossible to implement the view when using the web (coroutines aside.) Another possibility: void Controller::urlAvailable(Url url) { urlAvailableSignal(url); // Now, any view interested can do what it wants } I'm partial to the latter but it appears that if I do this there will be: 40 billion such signals. The application controller can get huge for a non-trivial application A very real possibility that a given view accidentally ignores some signals (APIs can inform you at link-time, but signals/slots are run-time) Thanks in advance.

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  • Using Memcached in Python/Django - questions.

    - by Thomas
    I am starting use Memcached to make my website faster. For constant data in my database I use this: from django.core.cache import cache cache_key = 'regions' regions = cache.get(cache_key) if result is None: """Not Found in Cache""" regions = Regions.objects.all() cache.set(cache_key, regions, 2592000) #(2592000sekund = 30 dni) return regions For seldom changed data I use signals: from django.core.cache import cache from django.db.models import signals def nuke_social_network_cache(self, instance, **kwargs): cache_key = 'networks_for_%s' % (self.instance.user_id,) cache.delete(cache_key) signals.post_save.connect(nuke_social_network_cache, sender=SocialNetworkProfile) signals.post_delete.connect(nuke_social_network_cache, sender=SocialNetworkProfile) Is it correct way? I installed django-memcached-0.1.2, which show me: Memcached Server Stats Server Keys Hits Gets Hit_Rate Traffic_In Traffic_Out Usage Uptime 127.0.0.1 15 220 276 79% 83.1 KB 364.1 KB 18.4 KB 22:21:25 Can sombody explain what columns means? And last question. I have templates where I am getting much records from a few table (relationships). So in my view I get records from one table and in templates show it and related info from others. Generating page last a few seconds for very small table (<100records). Is it some easy way to cache queries from templates? Have I to do some big structure in my view (with all related tables), cache it and send to template?

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  • Using ddr2 and ddr3 together

    - by Noam
    I have a Gigabyte board called GA-EP45C-DS3. It has four DDR2 slots, and 2 DDR3 slots. I would like to use them in parallel, and achieve the result of 12gb RAM. Will it work? see: http://www.gigabyte.com.tw/Products/Motherboard/Products_Overview.aspx?ProductID=2870

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  • Using ddr2 and ddr3 together

    - by Noam
    I have a Gigabyte board called GA-EP45C-DS3. It has four DDR2 slots, and 2 DDR3 slots. I would like to use them in parallel, and achieve the result of 12gb RAM. Will it work? see: http://www.gigabyte.com.tw/Products/Motherboard/Products_Overview.aspx?ProductID=2870

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  • Wifi channel interference

    - by artfulrobot
    In my neighbourhood there are: 11 wifi signals on channel 1 2 wifi signals on channel 4 (including mine at the mo) 8 on channel 6 6 on channel 11 According to the diagram on wikipedia Mine on channel 4 will suffer interference from channel 1 and channel 6, so a total of 20 other networks(!). So would I be better to join channel 11, even though my network is then in direct competition with the 6 others? I suppose the question is: what's worse: direct interference (meaning that on the same channel) from 6 or fringe interference from many more networks?

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  • Upstart restart process time

    - by user567938
    A question about upstart. I understand the restart command does a stop and restart of the process. What happens if the process will not stop and check for the signals for a long time (20min or 2h)? Will it still restart after such a long time ? Example my-process: until stop_signal_received work for 2h end So the script will check for stop signals every 2 hours. $sudo restart my-process Will the process restart after 2 hours or not?

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  • Qt, unit testing and mock objects.

    - by Eye of Hell
    Hello. Qt framework has internal support for testing via QtTest package. Unfortunately, i didn't find any facilities in it that can assist in creating mock objects. Qt signals and slots offers a natural way to create a unit-testing friendly units with input (slots) and output (signals). But is it any easy way to test that calling specified slot in object will result in emitting correct signals with correct arguments? Of course i can manually create a mock objects and connect them to objects being tested, but it's a lot of code. Maybe it's some techniques exists that allows to somehow automate mock objects creation while unit-testing Qt-based applications?

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  • Right clicking on QHeaderView inside of QTreeView

    - by taynaron
    I've written a descendant of QTreeView with multiple columns. I want to create a popup menu that appears whe nthe user right-clicks over the column headers. I have tried catching signals from QTreeView for this, but QTreeView doesn't seem to emit signals on the headers. QTreeView.header() does. I therefore believe I must either: 1: connect one of QHeaderView's signals to a popup function - I have been unable to find a signal that is triggered on a single right click - I have tried sectionClicked, sectionHandleDoubleClicked, sectionDoubleClicked, sectionPressed (not surprised the double click functions didn't catch a single right click - but they do catch a double right click) self.header().sectionClicked.connect(self.headerMenu) self.header().sectionHandleDoubleClicked.connect(self.headerMenu) self.header().sectionDoubleClicked.connect(self.headerMenu) self.header().sectionPressed.connect(self.headerMenu) or, 2: write a descendant of QHeaderView with my own MousePressEvent function, and use that for my headers. I have so far been unsuccessful in connecting the new header class to the QTreeView descendant. I keep getting a Segmentation Fault on runtime, with no more explanation. #in DiceView's init, where DiceHeaders is the QHeaderView descendant self.setHeader(DiceHeaders()) Any ideas?

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  • SQL Server and Hyper-V Dynamic Memory Part 2

    - by SQLOS Team
    Part 1 of this series was an introduction and overview of Hyper-V Dynamic Memory. This part looks at SQL Server memory management and how the SQL engine responds to changing OS memory conditions.   Part 2: SQL Server Memory Management As with any Windows process, sqlserver.exe has a virtual address space (VAS) of 4GB on 32-bit and 8TB in 64-bit editions. Pages in its VAS are mapped to pages in physical memory when the memory is committed and referenced for the first time. The collection of VAS pages that have been recently referenced is known as the Working Set. How and when SQL Server allocates virtual memory and grows its working set depends on the memory model it uses. SQL Server supports three basic memory models:   1. Conventional Memory Model   The Conventional model is the default SQL Server memory model and has the following properties: - Dynamic - can grow or shrink its working set in response to load and external (operating system) memory conditions. - OS uses 4K pages – (not to be confused with SQL Server “pages” which are 8K regions of committed memory).- Pageable - Can be paged out to disk by the operating system.   2. Locked Page Model The locked page memory model is set when SQL Server is started with "Lock Pages in Memory" privilege*. It has the following characteristics: - Dynamic - can grow or shrink its working set in the same way as the Conventional model.- OS uses 4K pages - Non-Pageable – When memory is committed it is locked in memory, meaning that it will remain backed by physical memory and will not be paged out by the operating system. A common misconception is to interpret "locked" as non-dynamic. A SQL Server instance using the locked page memory model will grow and shrink (allocate memory and release memory) in response to changing workload and OS memory conditions in the same way as it does with the conventional model.   This is an important consideration when we look at Hyper-V Dynamic Memory – “locked” memory works perfectly well with “dynamic” memory.   * Note in “Denali” (Standard Edition and above), and in SQL 2008 R2 64-bit (Enterprise and above editions) the Lock Pages in Memory privilege is all that is required to set this model. In 2008 R2 64-Bit standard edition it also requires trace flag 845 to be set, in 2008 R2 32-bit editions it requires sp_configure 'awe enabled' 1.   3. Large Page Model The Large page model is set using trace flag 834 and potentially offers a small performance boost for systems that are configured with large pages. It is characterized by: - Static - memory is allocated at startup and does not change. - OS uses large (>2MB) pages - Non-Pageable The large page model is supported with Hyper-V Dynamic Memory (and Hyper-V also supports large pages), but you get no benefit from using Dynamic Memory with this model since SQL Server memory does not grow or shrink. The rest of this article will focus on the locked and conventional SQL Server memory models.   When does SQL Server grow? For “dynamic” configurations (Conventional and Locked memory models), the sqlservr.exe process grows – allocates and commits memory from the OS – in response to a workload. As much memory is allocated as is required to optimally run the query and buffer data for future queries, subject to limitations imposed by:   - SQL Server max server memory setting. If this configuration option is set, the buffer pool is not allowed to grow to more than this value. In SQL Server 2008 this value represents single page allocations, and in “Denali” it represents any size page allocations and also managed CLR procedure allocations.   - Memory signals from OS. The operating system sets a signal on memory resource notification objects to indicate whether it has memory available or whether it is low on available memory. If there is only 32MB free for every 4GB of memory a low memory signal is set, which continues until 64MB/4GB is free. If there is 96MB/4GB free the operating system sets a high memory signal. SQL Server only allocates memory when the high memory signal is set.   To summarize, for SQL Server to grow you need three conditions: a workload, max server memory setting higher than the current allocation, high memory signals from the OS.    When does SQL Server shrink caches? SQL Server as a rule does not like to return memory to the OS, but it will shrink its caches in response to memory pressure. Memory pressure can be divided into “internal” and “external”.   - External memory pressure occurs when the operating system is running low on memory and low memory signals are set. The SQL Server Resource Monitor checks for low memory signals approximately every 5 seconds and it will attempt to free memory until the signals stop.   To free memory SQL Server does the following: ·         Frees unused memory. ·         Notifies Memory Manager Clients to release memory o   Caches – Free unreferenced cache objects. o   Buffer pool - Based on oldest access times.   The freed memory is released back to the operating system. This process continues until the low memory resource notifications stop.    - Internal memory pressure occurs when the size of different caches and allocations increase but the SQL Server process needs to keep its total memory within a target value. For example if max server memory is set and certain caches are growing large, it will cause SQL to free memory for re-use internally, but not to release memory back to the OS. If you lower the value of max server memory you will generate internal memory pressure that will cause SQL to release memory back to the OS.    Memory pressure handling has not changed much since SQL 2005 and it was described in detail in a blog post by Slava Oks.   Note that SQL Server Express is an exception to the above behavior. Unlike other editions it does not assume it is the most important process running on the system but tries to be more “desktop” friendly. It will empty its working set after a period of inactivity.   How does SQL Server respond to changing OS memory?    In SQL Server 2005 support for Hot-Add memory was introduced. This feature, available in Enterprise and above editions, allows the server to make use of any extra physical memory that was added after SQL Server started. Being able to add physical memory when the system is running is limited to specialized hardware, but with the Hyper-V Dynamic Memory feature, when new memory is allocated to a guest virtual machine, it looks like hot-add physical memory to the guest. What this means is that thanks to the hot-add memory feature, SQL Server 2005 and higher can dynamically grow if more “physical” memory is granted to a guest VM by Hyper-V dynamic memory.   SQL Server checks OS memory every second and dynamically adjusts its “target” (based on available OS memory and max server memory) accordingly.   In “Denali” Standard Edition will also have sqlserver.exe support for hot-add memory when running virtualized (i.e. detecting and acting on Hyper-V Dynamic Memory allocations).   How does a SQL Server workload in a guest VM impact Hyper-V dynamic memory scheduling?   When a SQL workload causes the sqlserver.exe process to grow its working set, the Hyper-V memory scheduler will detect memory pressure in the guest VM and add memory to it. SQL Server will then detect the extra memory and grow according to workload demand. In our tests we have seen this feedback process cause a guest VM to grow quickly in response to SQL workload - we are still working on characterizing this ramp-up.    How does SQL Server respond when Hyper-V removes memory from a guest VM through ballooning?   If pressure from other VM's cause Hyper-V Dynamic Memory to take memory away from a VM through ballooning (allocating memory with a virtual device driver and returning it to the host OS), Windows Memory Manager will page out unlocked portions of memory and signal low resource notification events. When SQL Server detects these events it will shrink memory until the low memory notifications stop (see cache shrinking description above).    This raises another question. Can we make SQL Server release memory more readily and hence behave more "dynamically" without compromising performance? In certain circumstances where the application workload is predictable it may be possible to have a job which varies "max server memory" according to need, lowering it when the engine is inactive and raising it before a period of activity. This would have limited applicaability but it is something we're looking into.   What Memory Management changes are there in SQL Server “Denali”?   In SQL Server “Denali” (aka SQL11) the Memory Manager has been re-written to be more efficient. The main changes are summarized in this post. An important change with respect to Hyper-V Dynamic Memory support is that now the max server memory setting includes any size page allocations and managed CLR procedure allocations it now represents a closer approximation to total sqlserver.exe memory usage. This makes it easier to calculate a value for max server memory, which becomes important when configuring virtual machines to work well with Hyper-V Dynamic Memory Startup and Maximum RAM settings.   Another important change is no more AWE or hot-add support for 32-bit edition. This means if you're running a 32-bit edition of Denali you're limited to a 4GB address space and will not be able to take advantage of dynamically added OS memory that wasn't present when SQL Server started (though Hyper-V Dynamic Memory is still a supported configuration).   In part 3 we’ll develop some best practices for configuring and using SQL Server with Dynamic Memory. Originally posted at http://blogs.msdn.com/b/sqlosteam/

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  • Information about SATA, IDE (PATA) controllers

    - by Adam Matan
    I have a remote computer on which I want to install a new hard drive for rsync backup. The problem is, I don't know what controller technology is used (PATA, SATA, SATA2, ...) and how many available slots are left. I want to spare me an unnecessary drive just for opening the chassis and looking into wires. How do I query the SATA or PATA controllers? I'm interested in the following points: Which controllers exist in the machine How many (and which) disks are attached to each controller How many available slots are there

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  • Subterranean IL: The ThreadLocal type

    - by Simon Cooper
    I came across ThreadLocal<T> while I was researching ConcurrentBag. To look at it, it doesn't really make much sense. What's all those extra Cn classes doing in there? Why is there a GenericHolder<T,U,V,W> class? What's going on? However, digging deeper, it's a rather ingenious solution to a tricky problem. Thread statics Declaring that a variable is thread static, that is, values assigned and read from the field is specific to the thread doing the reading, is quite easy in .NET: [ThreadStatic] private static string s_ThreadStaticField; ThreadStaticAttribute is not a pseudo-custom attribute; it is compiled as a normal attribute, but the CLR has in-built magic, activated by that attribute, to redirect accesses to the field based on the executing thread's identity. TheadStaticAttribute provides a simple solution when you want to use a single field as thread-static. What if you want to create an arbitary number of thread static variables at runtime? Thread-static fields can only be declared, and are fixed, at compile time. Prior to .NET 4, you only had one solution - thread local data slots. This is a lesser-known function of Thread that has existed since .NET 1.1: LocalDataStoreSlot threadSlot = Thread.AllocateNamedDataSlot("slot1"); string value = "foo"; Thread.SetData(threadSlot, value); string gettedValue = (string)Thread.GetData(threadSlot); Each instance of LocalStoreDataSlot mediates access to a single slot, and each slot acts like a separate thread-static field. As you can see, using thread data slots is quite cumbersome. You need to keep track of LocalDataStoreSlot objects, it's not obvious how instances of LocalDataStoreSlot correspond to individual thread-static variables, and it's not type safe. It's also relatively slow and complicated; the internal implementation consists of a whole series of classes hanging off a single thread-static field in Thread itself, using various arrays, lists, and locks for synchronization. ThreadLocal<T> is far simpler and easier to use. ThreadLocal ThreadLocal provides an abstraction around thread-static fields that allows it to be used just like any other class; it can be used as a replacement for a thread-static field, it can be used in a List<ThreadLocal<T>>, you can create as many as you need at runtime. So what does it do? It can't just have an instance-specific thread-static field, because thread-static fields have to be declared as static, and so shared between all instances of the declaring type. There's something else going on here. The values stored in instances of ThreadLocal<T> are stored in instantiations of the GenericHolder<T,U,V,W> class, which contains a single ThreadStatic field (s_value) to store the actual value. This class is then instantiated with various combinations of the Cn types for generic arguments. In .NET, each separate instantiation of a generic type has its own static state. For example, GenericHolder<int,C0,C1,C2> has a completely separate s_value field to GenericHolder<int,C1,C14,C1>. This feature is (ab)used by ThreadLocal to emulate instance thread-static fields. Every time an instance of ThreadLocal is constructed, it is assigned a unique number from the static s_currentTypeId field using Interlocked.Increment, in the FindNextTypeIndex method. The hexadecimal representation of that number then defines the specific Cn types that instantiates the GenericHolder class. That instantiation is therefore 'owned' by that instance of ThreadLocal. This gives each instance of ThreadLocal its own ThreadStatic field through a specific unique instantiation of the GenericHolder class. Although GenericHolder has four type variables, the first one is always instantiated to the type stored in the ThreadLocal<T>. This gives three free type variables, each of which can be instantiated to one of 16 types (C0 to C15). This puts an upper limit of 4096 (163) on the number of ThreadLocal<T> instances that can be created for each value of T. That is, there can be a maximum of 4096 instances of ThreadLocal<string>, and separately a maximum of 4096 instances of ThreadLocal<object>, etc. However, there is an upper limit of 16384 enforced on the total number of ThreadLocal instances in the AppDomain. This is to stop too much memory being used by thousands of instantiations of GenericHolder<T,U,V,W>, as once a type is loaded into an AppDomain it cannot be unloaded, and will continue to sit there taking up memory until the AppDomain is unloaded. The total number of ThreadLocal instances created is tracked by the ThreadLocalGlobalCounter class. So what happens when either limit is reached? Firstly, to try and stop this limit being reached, it recycles GenericHolder type indexes of ThreadLocal instances that get disposed using the s_availableIndices concurrent stack. This allows GenericHolder instantiations of disposed ThreadLocal instances to be re-used. But if there aren't any available instantiations, then ThreadLocal falls back on a standard thread local slot using TLSHolder. This makes it very important to dispose of your ThreadLocal instances if you'll be using lots of them, so the type instantiations can be recycled. The previous way of creating arbitary thread-static variables, thread data slots, was slow, clunky, and hard to use. In comparison, ThreadLocal can be used just like any other type, and each instance appears from the outside to be a non-static thread-static variable. It does this by using the CLR type system to assign each instance of ThreadLocal its own instantiated type containing a thread-static field, and so delegating a lot of the bookkeeping that thread data slots had to do to the CLR type system itself! That's a very clever use of the CLR type system.

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  • Information about SATA, IDE (PATA) controllers

    - by Adam Matan
    I have a remote computer on which I want to install a new hard drive for rsync backup. The problem is, I don't know what controller technology is used (PATA, SATA, SATA2, ...) and how many available slots are left. I want to spare me an unnecessary drive just for opening the chassis and looking into wires. How do I query the SATA or PATA controllers? I'm interested in the following points: Which controllers exist in the machine How many (and which) disks are attached to each controller How many available slots are there

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  • Team Fortress 2 Is Now Free [Gaming]

    - by Jason Fitzpatrick
    Wildly popular computer game Team Fortress 2 is now free Previously $10, Valve dropped the price for Team Fortress 2 to $0. The new model is a “freemium” one wherein the majority of the game is free but you can purchase small upgrades in-game (like expanding your backpack from 50 slots to 300 slots to hold more gear or purchasing items instead of searching them out in the game). Check out the trailer and then hit up the link below to grab a copy. Team Fortress 2 [via Mashable] What is a Histogram, and How Can I Use it to Improve My Photos?How To Easily Access Your Home Network From Anywhere With DDNSHow To Recover After Your Email Password Is Compromised

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  • Officially announced RAM support size doesn't apply to one of twin rigs with just one difference

    - by Deniz
    It'll take a little long to describe my situation but here goes the story : In January 2009 we bought (the OEM parts) two similar systems with just one difference. One of them had a Phenom X4 cpu and the other one (mine) a Phenom X3 cpu. At the beginning we had problems with both systems to power them on whilst having all of their ram slots being full. We decided to install the systems with just 2 slots populated and later try to install the rest of ram sticks. Both systems did succeed to support 3 sticks. We tried many different procedures to make the systems work with their fourth ram slots being populated. We waited for new bios updates and flashed the boards when they were available, we tried different ram sticks with different frequencies etc. One day while we were trying to install the fourth stick, the X4 machine did accept it. The other one did not. The most mind boggling thing was that after one of my trials the X3 system begun to not operate with the third slot populated. Our boards did have AMD 770 chipsets and we even tried to change the board of the X3 machine with another 770 chipset board. Now my questions are : Should we change the cpu ? What is causing the X3 system to not accept the fourth (or now the third) ram stick ? The manufacturers sites do claim that this boards do accept 4 ram sticks (but they only tested them with certain ram brands and models). What are the limitations for maximum ram configurations on motherboards ? Are there some "rules of thumb" except frequency, voltage, chip type considerations for which we did check our parts ? Our boards are : Gigabyte GA-MA770-DS3 Sapphire PC-AM2RX780 - PURE CrossFireX 770

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  • Use Alladin eToken with ThunderBird and other tool

    - by Yurij73
    I'm looking for an example on how to setup the eToken PRO Java device to work with Mozilla Thunderbird and with other Linux tool such as PAM logon. I installed distributed pkiclient-5.00.28-0.i386.RPM from the official product page eToken Pro but that tool only handles importing/exporting certificates on the device. I read a glance an old HOWTO from eToken on Linux, but I couldn't install pkcs11-lib for this device as recommended for Thunderbird use this crypto device. It seems my usb token isn't listed in system, unless lsusb show it, so that is the matter modutil -list -dbdir /etc/pki/nssdb Listing of PKCS #11 Modules NSS Internal PKCS #11 Module Blockquote slots: 2 slots attached Blockquote status: loaded Blockquote slot: NSS User Private Key and Certificate Services Blockquote token: NSS Certificate DB Blockquote CoolKey PKCS #11 Module Blockquote library name: libcoolkeypk11.so Blockquote slots: 1 slot attached Blockquote status: loaded Blockquote slot: AKS ifdh [Main Interface] 00 00 token: is my token absent? on other hand i don't know which module is convenient to Java Pro, does CoolKey does all the job well? It seems Java token is too new hardware for Linux? there is excerpt from /etc/pam_pkcs11.conf #filename of the PKCS #11 module. The default value is "default" use_pkcs11_module = coolkey; screen_savers = gnome-screensaver,xscreensaver,kscreensaver pkcs11_module coolkey { module = libcoolkeypk11.so; description = "Cool Key"`

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  • /etc/security/limits.conf for setting program limits in Linux

    - by Flavius Akerele
    I have the following inside /etc/security/limits.conf (I have specified root separately because * will not include it.) user2 - core unlimited * - core 0 root - core 0 * - rss 512000 root - rss 512000 * - nproc 100 root - nproc 100 * - maxlogins 1 root - maxlogins 1 I run a program as user2 (./programname) but /proc/3498/limits says cores are disabled: Limit Soft Limit Hard Limit Units Max cpu time unlimited unlimited seconds Max file size unlimited unlimited bytes Max data size unlimited unlimited bytes Max stack size 8388608 unlimited bytes Max core file size 0 0 bytes Max resident set 524288000 524288000 bytes Max processes 100 100 processes Max open files 1024 1024 files Max locked memory 65536 65536 bytes Max address space unlimited unlimited bytes Max file locks unlimited unlimited locks Max pending signals 14001 14001 signals Max msgqueue size 819200 819200 bytes Max nice priority 0 0 Max realtime priority 0 0 Max realtime timeout unlimited unlimited us Both ulimit -Sa and ulimit -Ha output that cores are disabled: core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 14001 max locked memory (kbytes, -l) 64 max memory size (kbytes, -m) 512000 open files (-n) 1024 pipe size (512 bytes, -p) 8 POSIX message queues (bytes, -q) 819200 real-time priority (-r) 0 stack size (kbytes, -s) unlimited cpu time (seconds, -t) unlimited max user processes (-u) 100 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited Why are cores disabled ?

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  • GA 8KNXP Rev1.0: 4 GB installed, only 3.5 GB recognized by BIOS

    - by hurikhan77
    I've installed 2x 1 GB and 4x 512 MB memory into my GA-8KNXP system which would sum up to 4 GB. The specification from the manual says: Maximum memory support: 4 GB. If all six slots are utilized, slot 5+6 may only equipped with single-sided RAM modules. And so I did. Anyway: The BIOS counts up to 3.5 GB and finishes there. Also my Linux system reports only 3.5 GB of memory although 4 GB memory support is activated in the kernel. So I suppose this is a memory mapping issue or a hardware issue. I've tried removing only on of the 512 MB memory modules leaving 5 modules in place. But that just stopped the system from powering on correctly (screen stays black although fans and leds come to live). Dual Channel was detected and enabled so the system technically found all 6 modules. "dmidecode" in Linux reports only memory in slots 1 to 4 and ignores slots 5+6, so it only detects 3 GB of memory. It also says the system would support up to 16 GB of memory with 4 GB modules per slot. I think technically the chipset should be able to offer and utilize the complete 4 GB memory range. Any clues what else I could check? Or do I have just to live with 0.5 GB wasted memory?

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  • GA 8KNXP Rev1.0: 4GB installed, only 3.5 recognized by BIOS

    - by hurikhan77
    I've installed 2x 1 GB and 4x 512 MB memory into my GA-8KNXP system which would sum up to 4GB. The specs from the manual say: Maximum memory support: 4GB. If all six slots are utilized, slot 5+6 may only equipped with single-sided RAM modules. And so I did. Anyway: The BIOS counts up to 3.5 GB and finishes there. Also my linux system reports only 3.5 GB of memory although 4 GB memory support is activated in the kernel. So I suppose this is a memory mapping issue or a hardware issue. I've tried removing only on of the 512 MB memory modules leaving 5 modules in place. But that just stopped the system from powering on correctly (screen stays black although fans and leds come to live). Dual Channel was detected and enabled so the system technically found all 6 modules. "dmidecode" in linux reports only memory in slots 1 to 4 and ignores slots 5+6, so it only detects 3 GB of memory. It also says the system would support up to 16 GB of memory with 4 GB modules per slot. I think technically the chipset should be able to offer and utilize the complete 4 GB memory range. Any clues what else I could check? Or do I have just to live with 0.5 GB wasted memory?

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