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  • How can I avoid "Your system is running low on virtual memory" pop-up?

    - by Xavier Nodet
    Our application sometimes uses a lot of memory, and this is expected. But when we test it under high load on Windows XP, we usually get the very annoying "Your system is running low on virtual memory" popup, and this prevents our automated, unattended, tests to run through... Is it possible to prevent this popup to appear, and just have the allocation fail? The app will handle it gracefully, and tests will go on... We are using Windows XP, but if a solution only exists on later versions, I'd be happy to know anyway.

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  • ASP.NET web services leak memory when (de)serializing disposable objects?

    - by Serilla
    In the following two cases, if Customer is disposable (implementing IDisposable), I believe it will not be disposed by ASP.NET, potentially being the cause of a memory leak: [WebMethod] public Customer FetchCustomer(int id) { return new Customer(id); } [WebMethod] public void SaveCustomer(Customer value) { // save it } This flaw applies to any IDisposable object. So returning a DataSet from a ASP.NET web service, for example, will also result in a memory leak - the DataSet will not be disposed. In my case, Customer opened a database connection which was cleaned up in Dispose - except Dispose was never called resulting in loads of unclosed database connections. I realise there a whole bunch of bad practices being followed here (its only an example anyway), but the point is that ASP.NET - the (de)serializer - is responsible for disposing these objects, so why doesn't it? This is an issue I was aware of for a while, but never got to the bottom of. I'm hoping somebody can confirm what I have found, and perhaps explain if there is a way of dealing with it.

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  • Need to allocate memory before a Delphi string copy?

    - by Duncan
    Do I need to allocate memory when performing a Delphi string copy? I've a function which posts a Windows message to another form in my application. It looks something like this: // Note: PThreadMessage = ^TThreadMessage; TThreadMessage = String; function PostMyMessage( aStr : string ); var gMsgPtr : PThreadMessage; gStrLen : Integer; begin New(gMsgPtr); gStrLen := StrLen(PWideChar(aMsg)); gMsgPtr^ := Copy(aMsg, 0, gStrLen); PostMessage(ParentHandle, WM_LOGFILE, aLevel, Integer(gMsgPtr)); // Prevent Delphi from freeing this memory before consumed. LParam(gMsgPtr) := 0; end;

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  • What is the best solution to replace a new memory allocator in an existing code?

    - by O. Askari
    During the last few days I've gained some information about memory allocators other than the standard malloc(). There are some implementations that seem to be much better than malloc() for applications with many threads. For example it seems that tcmalloc and ptmalloc have better performance. I have a C++ application that uses both malloc and new operators in many places. I thought replacing them with something like ptmalloc may improve its performance. But I wonder how does the new operator act when used in C++ application that runs on Linux? Does it use the standard behavior of malloc or something else? What is the best way to replace the new memory allocator with the old one in the code? Is there any way to override the behavior or new and malloc or do I need to replace all the calls to them one by one?

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  • Does remove a DOM object (in Javascript) will cause Memory leak if it has event attached?

    - by seatoskyhk
    So, if in the javascript, I create a DOM object in the HTML page, and attach event listener to the DOM object, upon I remove the the DOM from HTML page, does the event listener still exist and causing memory leak? function myTest() { var obj = document.createElement('div'); obj.addEventListener('click', function() {alert('whatever'); }); var body = document.getElementById('body'); // assume there is a <div id='body'></div> already body.appendChild(obj); } // then after some user actions. I call this: function emptyPage() { var body = document.getElementById('body'); body.innerHTML = ''; //empty it. } So, the DOM object, <div> inside body is gone. But what about the eventlistener? I'm just afraid that it will cause memory leak.

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  • Session memory – who’s this guy named Max and what’s he doing with my memory?

    - by extended_events
    SQL Server MVP Jonathan Kehayias (blog) emailed me a question last week when he noticed that the total memory used by the buffers for an event session was larger than the value he specified for the MAX_MEMORY option in the CREATE EVENT SESSION DDL. The answer here seems like an excellent subject for me to kick-off my new “401 – Internals” tag that identifies posts where I pull back the curtains a bit and let you peek into what’s going on inside the extended events engine. In a previous post (Option Trading: Getting the most out of the event session options) I explained that we use a set of buffers to store the event data before  we write the event data to asynchronous targets. The MAX_MEMORY along with the MEMORY_PARTITION_MODE defines how big each buffer will be. Theoretically, that means that I can predict the size of each buffer using the following formula: max memory / # of buffers = buffer size If it was that simple I wouldn’t be writing this post. I’ll take “boundary” for 64K Alex For a number of reasons that are beyond the scope of this blog, we create event buffers in 64K chunks. The result of this is that the buffer size indicated by the formula above is rounded up to the next 64K boundary and that is the size used to create the buffers. If you think visually, this means that the graph of your max_memory option compared to the actual buffer size that results will look like a set of stairs rather than a smooth line. You can see this behavior by looking at the output of dm_xe_sessions, specifically the fields related to the buffer sizes, over a range of different memory inputs: Note: This test was run on a 2 core machine using per_cpu partitioning which results in 5 buffers. (Seem my previous post referenced above for the math behind buffer count.) input_memory_kb total_regular_buffers regular_buffer_size total_buffer_size 637 5 130867 654335 638 5 130867 654335 639 5 130867 654335 640 5 196403 982015 641 5 196403 982015 642 5 196403 982015 This is just a segment of the results that shows one of the “jumps” between the buffer boundary at 639 KB and 640 KB. You can verify the size boundary by doing the math on the regular_buffer_size field, which is returned in bytes: 196403 – 130867 = 65536 bytes 65536 / 1024 = 64 KB The relationship between the input for max_memory and when the regular_buffer_size is going to jump from one 64K boundary to the next is going to change based on the number of buffers being created. The number of buffers is dependent on the partition mode you choose. If you choose any partition mode other than NONE, the number of buffers will depend on your hardware configuration. (Again, see the earlier post referenced above.) With the default partition mode of none, you always get three buffers, regardless of machine configuration, so I generated a “range table” for max_memory settings between 1 KB and 4096 KB as an example. start_memory_range_kb end_memory_range_kb total_regular_buffers regular_buffer_size total_buffer_size 1 191 NULL NULL NULL 192 383 3 130867 392601 384 575 3 196403 589209 576 767 3 261939 785817 768 959 3 327475 982425 960 1151 3 393011 1179033 1152 1343 3 458547 1375641 1344 1535 3 524083 1572249 1536 1727 3 589619 1768857 1728 1919 3 655155 1965465 1920 2111 3 720691 2162073 2112 2303 3 786227 2358681 2304 2495 3 851763 2555289 2496 2687 3 917299 2751897 2688 2879 3 982835 2948505 2880 3071 3 1048371 3145113 3072 3263 3 1113907 3341721 3264 3455 3 1179443 3538329 3456 3647 3 1244979 3734937 3648 3839 3 1310515 3931545 3840 4031 3 1376051 4128153 4032 4096 3 1441587 4324761 As you can see, there are 21 “steps” within this range and max_memory values below 192 KB fall below the 64K per buffer limit so they generate an error when you attempt to specify them. Max approximates True as memory approaches 64K The upshot of this is that the max_memory option does not imply a contract for the maximum memory that will be used for the session buffers (Those of you who read Take it to the Max (and beyond) know that max_memory is really only referring to the event session buffer memory.) but is more of an estimate of total buffer size to the nearest higher multiple of 64K times the number of buffers you have. The maximum delta between your initial max_memory setting and the true total buffer size occurs right after you break through a 64K boundary, for example if you set max_memory = 576 KB (see the green line in the table), your actual buffer size will be closer to 767 KB in a non-partitioned event session. You get “stepped up” for every 191 KB block of initial max_memory which isn’t likely to cause a problem for most machines. Things get more interesting when you consider a partitioned event session on a computer that has a large number of logical CPUs or NUMA nodes. Since each buffer gets “stepped up” when you break a boundary, the delta can get much larger because it’s multiplied by the number of buffers. For example, a machine with 64 logical CPUs will have 160 buffers using per_cpu partitioning or if you have 8 NUMA nodes configured on that machine you would have 24 buffers when using per_node. If you’ve just broken through a 64K boundary and get “stepped up” to the next buffer size you’ll end up with total buffer size approximately 10240 KB and 1536 KB respectively (64K * # of buffers) larger than max_memory value you might think you’re getting. Using per_cpu partitioning on large machine has the most impact because of the large number of buffers created. If the amount of memory being used by your system within these ranges is important to you then this is something worth paying attention to and considering when you configure your event sessions. The DMV dm_xe_sessions is the tool to use to identify the exact buffer size for your sessions. In addition to the regular buffers (read: event session buffers) you’ll also see the details for large buffers if you have configured MAX_EVENT_SIZE. The “buffer steps” for any given hardware configuration should be static within each partition mode so if you want to have a handy reference available when you configure your event sessions you can use the following code to generate a range table similar to the one above that is applicable for your specific machine and chosen partition mode. DECLARE @buf_size_output table (input_memory_kb bigint, total_regular_buffers bigint, regular_buffer_size bigint, total_buffer_size bigint) DECLARE @buf_size int, @part_mode varchar(8) SET @buf_size = 1 -- Set to the begining of your max_memory range (KB) SET @part_mode = 'per_cpu' -- Set to the partition mode for the table you want to generate WHILE @buf_size <= 4096 -- Set to the end of your max_memory range (KB) BEGIN     BEGIN TRY         IF EXISTS (SELECT * from sys.server_event_sessions WHERE name = 'buffer_size_test')             DROP EVENT SESSION buffer_size_test ON SERVER         DECLARE @session nvarchar(max)         SET @session = 'create event session buffer_size_test on server                         add event sql_statement_completed                         add target ring_buffer                         with (max_memory = ' + CAST(@buf_size as nvarchar(4)) + ' KB, memory_partition_mode = ' + @part_mode + ')'         EXEC sp_executesql @session         SET @session = 'alter event session buffer_size_test on server                         state = start'         EXEC sp_executesql @session         INSERT @buf_size_output (input_memory_kb, total_regular_buffers, regular_buffer_size, total_buffer_size)             SELECT @buf_size, total_regular_buffers, regular_buffer_size, total_buffer_size FROM sys.dm_xe_sessions WHERE name = 'buffer_size_test'     END TRY     BEGIN CATCH         INSERT @buf_size_output (input_memory_kb)             SELECT @buf_size     END CATCH     SET @buf_size = @buf_size + 1 END DROP EVENT SESSION buffer_size_test ON SERVER SELECT MIN(input_memory_kb) start_memory_range_kb, MAX(input_memory_kb) end_memory_range_kb, total_regular_buffers, regular_buffer_size, total_buffer_size from @buf_size_output group by total_regular_buffers, regular_buffer_size, total_buffer_size Thanks to Jonathan for an interesting question and a chance to explore some of the details of Extended Event internals. - Mike

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  • Hekaton – SQL Server’s in-memory database engine

    - by Christian
    Microsoft have just gone public at the PASS Summit in Seattle about a new SQL Server engine that they’re working on which is optimized for high-memory servers – an in-memory OLTP database engine which is built-in to SQL Server rather than a separate entity.  This means that you can move just the performance critical parts of your database to Hekaton. The new engine really pushes the performance boundaries by eliminating as many instructions as possible: Main memory optimized tables which are decoupled from on-disk structures; Everything is lock and latch free; More work is pushed to compile time so your T-SQL code is compiled natively into low-level code. We’re already working with a customer on an early adoption program so expect to hear from us on what we learn about implementing it!   Christian Bolton - MCA, MCM, MVP Technical Director http://coeo.com - SQL Server Consulting & Managed Services

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  • Best in-memory cache of DB objects for Silverlight [closed]

    - by Jon
    Hi, I'd like to set up a cache of database objects (i.e. rows in a table) in memory in silverlight, which I'll do using WCF and linq-to-sql. Once I have the objects in memory, I'm planning on using MSMQ to receive new objects whenever they have been modified. It's a somewhat complex approach but the goal is to reduce trips to the database and allow instant data communication between Silverlight applications that are connected to the MSMQ. My Silverlight applications are meant to be long-running and the amount of data to be cached will not be large. I'm planning on saving the in-memory cache using local storage. Anyway, in order to process the updated objects that come in, I'd like to know if the user has changed the existing object. Could I use some event relating to data-binding to set a flag indicating that the object has changes? Maybe there's a better way to do the cache entirely? Thanks!

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  • Ubuntu One using 500 MB memory also when idle

    - by cdysthe
    I'm a Dropbox convert (I hope!), but after having used Ubuntu One for a couple of weeks I notice a few differences from Dropbox. The most glaring difference is that the sync daemon constantly takes 500MB ram on my system (Ubuntu 12.04 x64). It hogs this amount of memory as soon as I log in, does it's initial sync/check but keeps the memory. All in all it seems to me that Ubuntu One uses more system resources than Dropbox. I am syncing the same folders and files with Ubuntu One as I was with Dropbox. Also, afte I log in Ubuntu One grids at 100% CPU for at least five minutes which can be annoying on a laptop, but is not a showstopper. I'm wondering if this is a problem on my system, or if Ubuntu One is expected to use that amount of memory even when idle?

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  • Flash: Memory usage is low but framerate keeps dropping

    - by Cyborg771
    So I'm working on a puzzle game in flash. For all intents and purposes it's like Tetris. I spawn blocks, they move around the screen, then they get destroyed and disappear. I was having some trouble with the memory usage being too high over time so I read up on memory management and I think I have that figured out now. It's definitely climbing slower than it was before, but the framerate is still taking a huge dive after playing for a while. If it's not a memory leak what else could be causing this? Thanks in advance.

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  • Larry Ellison Unveils Oracle Database In-Memory

    - by jgelhaus
    A Breakthrough Technology, Which Turns the Promise of Real-Time into a Reality Oracle Database In-Memory delivers leading-edge in-memory performance without the need to restrict functionality or accept compromises, complexity and risk. Deploying Oracle Database In-Memory with virtually any existing Oracle Database compatible application is as easy as flipping a switch--no application changes are required. It is fully integrated with Oracle Database's scale-up, scale-out, storage tiering, availability and security technologies making it the most industrial-strength offering in the industry. Learn More Read the Press Release Get Product Details View the Webcast On-Demand Replay Follow the conversation #DB12c #OracleDBIM

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  • Podcast: Dell Perot Systems Relies on Oracle In-Memory Database Cache

    - by john.brust
    Recently we spoke with Bill Binko, Technology Consultant at Dell Perot Systems, about a high volume web-based content delivery system they implemented for a client with Oracle In-Memory Database Cache. Their client needed to respond to ~1 billion hits (web requests) per day, but hadn't been able to support this load. Oracle In-Memory Database Cache allowed for multiple & complicated queries to take place without ever hitting the disk...providing sub-millisecond response time and ability to manage much higher high volumes of data. Old System: Old SQL Server Database, over 300 servers, difficult to maintain. New System: One Oracle Database 11g instance, multiple Oracle RAC nodes, backed up by Oracle Data Guard, and Oracle In-Memory Database Cache to cut query response times by 10x. Listen to the podcast.

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  • Taking advantage of an "Intel Turbo Memory" card for swap or fast bootup

    - by Brian Ballsun-Stanton
    I have an X61 thinkpad (currently running 10.10) that I purchased 3 years ago. I splurged a little and got a Turbo Memory expansion to improve my windows boots. When I installed 10.04 (and subsquently upgraded to 10.10) there was no Turbo Memory support and there's an awful lot of noise on searches. 1) Is there any support for Intel Turbo Memory in 11.04 or trivially compilable into the kernel as swap, suspend, hibernate point, or boot partition? 2) If there is, should I bother trying to use it?

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  • What if we run out of stack space in C# or Python?

    - by dotneteer
    Supposing we are running a recursive algorithm on a very large data set that requires, say, 1 million recursive calls. Normally, one would solve such a large problem by converting recursion to a loop and a stack, but what if we do not want to or cannot rewrite the algorithm? Python has the sys.setrecursionlimit(int) method to set the number of recursions. However, this is only part of the story; the program can still run our of stack space. C# does not have a equivalent method. Fortunately, both C# and Python have option to set the stack space when creating a thread. In C#, there is an overloaded constructor for the Thread class that accepts a parameter for the stack size: Thread t = new Thread(work, stackSize); In Python, we can set the stack size by calling: threading.stack_size(67108864) We can then run our work under a new thread with increased stack size.

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  • Out of memory on MATLAB

    - by Eric Sánchez
    I'm trying to run a script on matlab_2011a, which calculate same means for a climatology of 50 years. When I started to run the script for all the years it worked fine until the iteration 20th, and then appeared the message: Out of memory. Type HELP MEMORY for your options. Then I used clear v1 v2 v3 ... to clear all the variables inside the function, also i used clear train because i saw it in another forum, and these with the modifications or not, I run again the script (since the 21th iteration), and the result is the same message, but curiously sometimes it run a year and then stop. Any ideas about solving this problem?, what I have to clean to run correctly? (in this matlab version there's not the command memory which maybe could help me).

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  • WHMCS Fatal error: Out of memory while View Invoice PDF

    - by prakash
    I can log into WHMCS & can access everything I should be able to access, but if i try to click View PDF Invoice, the following error will occur, Fatal error: Out of memory (allocated 67633152) (tried to allocate 76 bytes) in /home/xxxx/public_html/whmcs/includes/classes/class.tcpdf.php on line 8419 I have already set the allocated Memory limit to 256MB, but the error still occurs. At that time of the error, the process memory is exceeding the allocation I set. I checked log file, and found the following errors: #2 /home/xxxxx/public_html/client/includes/classes/class.tcpdf.php(8453): TCPDF->Image('/home/xxxxx/...', 20, 25, 75, 17.5816023739, 'PNG', '', '', false, 300, '', false, 8) #3 /home/xxxxx/public_html/client/includes/classes/class.tcpdf.php(7881): TCPDF->ImagePngAlpha('/home/xxxxx/...', 20, 25, 337, 79, 75, 17.5816023739, 'PNG', '', '', false, 300, '', NULL) While I was investigating the issue above I also noticed the error condition pictured below:

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  • Cikk az Oracle Database In-Memory elonyeirol

    - by user645740
    Megjelent egy cikk a forradalmi újdonságot jelento Oracle Database In-Memory adatbázis funkcióról a bitport.hu-n: Ugorjunk szintet a döntéshozatal gyorsaságában! címmel. A Database In-Memory legfontosabb elonyei: Az alkalmazások változatlanok, nem kell semmit megváltoztatni rajtuk. Úgyanúgy minden megtalálható a diszken, nincs semmi változás a mentésekben sem, az élet ugyanúgy megy tovább, Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 „csak" sokkal gyorsabb lesz a muködés! Pillanatok alatt bekapcsolható, és beállítható, szinte nem igényel konzultációs tevékenységet.csak azt kell kiválasztani, milyen objektumokra lépjen életbe, milyen tömörítést használjon hozzá, és milyen prioritással töltse be a memóriába az adatokat. Más gyártók részmegoldásaihoz nagy bevezetési költségek kapcsolódnak! Nem kell hozzá új infrastuktúra elem, nem kell hozzá új szerver sem Minden Oracle Database alapú rendszerhez használható: tranzakciós rendszerekhez, vegyes rendszerekhez és adattárház, üzleti analitikai, üzleti intelligencia rendszerekhez is. Oracle Database In-Memory

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  • Performance impact of the new mtmalloc memory allocator

    - by nospam(at)example.com (Joerg Moellenkamp)
    I wrote at a number of occasions (here or here), that it could be really beneficial to use a different memory allocator for highly-threaded workloads, as the standard allocator is well ... the standard, however not very effective as soon as many threads comes into play. I didn't wrote about this as it was in my phase of silence but there was some change in the allocator area, Solaris 10 got a revamped mtmalloc allocator in version Solaris 10 08/11 (as described in "libmtmalloc Improvements"). The new memory allocator was introduced to Solaris development by the PSARC case 2010/212. But what's the effect of this new allocator and how does it works? Rickey C. Weisner wrote a nice article with "How Memory Allocation Affects Performance in Multithreaded Programs" explaining the inner mechanism of various allocators but he also publishes test results comparing Hoard, mtmalloc, umem, new mtmalloc and the libc malloc. Really interesting read and a must for people running applications on servers with a high number of threads.

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  • New eBook: In-Memory Data Grids for Dummies

    - by jeckels
    We've just released a new eBook In-Memory Data Grids for Dummies. This is a fantastic resource if you're looking to explain in-memory data grids to colleagues, convince your boss of their value, or even discover some new use cases for your existing investment. In true "Dummies" style, this eBook will walk you through the basics tenets of in-memory data grids, their common use cases, where IMDGs sit in your architecture, and some key considerations when looking to implement them. While the title may say "Dummies," we know you'll find some useful overview and technical information in the resource. It's published by us on the Coherence team in partnership with Wiley (the "Dummies" company), but it's not only about Coherence or Oracle. In fact, we took pains to make this book fairly neutral to give you the best information, not a product pitch. Happy reading! Download the eBook now 

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  • Git fails to push with error 'out of memory'

    - by jwir3
    I'm using gitosis on a server that has a low amount of memory, specifically around 512 MB. When I try to push a large folder (happens to be a backup from an android phone), I get: me@corellia:~/Configs/$ git push origin master Counting objects: 18, done. Delta compression using up to 8 threads. Compressing objects: 100% (14/14), done. fatal: Out of memory, malloc failed MiB | 685 KiB/s error: pack-objects died of signal 13 error: failed to push some refs to 'git@dagobah:Configs' I've been searching the web, and notably found: http://www.mail-archive.com/[email protected]/msg01747.html as well as http://git.661346.n2.nabble.com/Out-of-memory-error-during-git-push-td5443705.html but these don't seem to help me for two reasons: 1) I am not actually out of memory when I push. When I run 'top' during the push, I get: 24262 git 18 0 16204 6084 1096 S 2 1.2 0:00.12 git-unpack-obje Also, during the push if I run /head/meminfo, I get: MemTotal: 524288 kB MemFree: 289408 kB Buffers: 0 kB Cached: 0 kB SwapCached: 0 kB Active: 0 kB Inactive: 0 kB HighTotal: 0 kB HighFree: 0 kB LowTotal: 524288 kB So, it seems that I have enough memory free, but it's actually still failing, and I'm not enough of a git guru to figure out what is happening. I would appreciate it if someone could give me a hand here and tell me what could be causing this problem, and what I can do to solve it. Thanks! EDIT: The output of running the ulimit -a command: scottj@dagobah:~$ ulimit -a core file size (blocks, -c) 0 data seg size (kbytes, -d) unlimited scheduling priority (-e) 0 file size (blocks, -f) unlimited pending signals (-i) 204800 max locked memory (kbytes, -l) 32 max memory size (kbytes, -m) unlimited 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) 10240 cpu time (seconds, -t) unlimited max user processes (-u) 204800 virtual memory (kbytes, -v) unlimited file locks (-x) unlimited

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