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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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• 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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• Why do Asp.net timers/updatepanels leak memory and can it be fixed/worked around?

  - by KallDrexx

  I have built a suite of internal websites for our company to manage some of our processes. I have been noticing that these pages have massive memory leaks that cause the pages to be using well over 150mb of memory, which is ridiculous for a webpage that consists of a single form and a GridView that is displaying 7-10 rows of data at a time, sometimes with the data not changing for a whole day. This data does need to be refreshed on a semi-regular basis so that we always see the latest results and can act on them. After some testing it appears that the memory leak is extremely easy to reproduce, and very noticeable. I created a page with the following asp.net markup: <body> <form id="form1" runat="server"> <div> <asp:scriptmanager ID="Scriptmanager1" runat="server"></asp:scriptmanager> <asp:Timer ID="timer1" runat="server" Interval="1000" /> <asp:UpdatePanel ID="UpdatePanel1" runat="server"> <ContentTemplate> </ContentTemplate> </asp:UpdatePanel> </div> </form> </body> There is absolutely no code behind for this. This is the entirety of the page. Running this site in Chrome shows the memory usage shoot up to 25 megs in the span of 20-30 seconds. Leaving it running for a few minutes makes the memory go up to the 70 megs and such. Am I using timers and update panels wrong, or is this a pure Asp.net issue with no work around?

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• is delete p where p is a pointer to array a memory leak ?

  - by Eli

  following a discussion in a software meeting I setup to find out if deleting an dynamically allocated primitive array with plain delete will cause a memory leak. I have written this tiny program and compiled with visual studio 2008 running on windows XP: #include "stdafx.h" #include "Windows.h" const unsigned long BLOCK_SIZE = 1024*100000; int _tmain() { for (unsigned int i =0; i < 1024*1000; i++) { int* p = new int[1024*100000]; for (int j =0;j<BLOCK_SIZE;j++) p[j]= j % 2; Sleep(1000); delete p; } } I than monitored the memory consumption of my application using task manager, surprisingly the memory was allocated and freed correctly, allocated memory did not steadily increase as was expected I've modified my test program to allocate a non primitive type array : #include "stdafx.h" #include "Windows.h" struct aStruct { aStruct() : i(1), j(0) {} int i; char j; } NonePrimitive; const unsigned long BLOCK_SIZE = 1024*100000; int _tmain() { for (unsigned int i =0; i < 1024*100000; i++) { aStruct* p = new aStruct[1024*100000]; Sleep(1000); delete p; } } after running for for 10 minutes there was no meaningful increase in memory I compiled the project with warning level 4 and got no warnings. is it possible that the visual studio run time keep track of the allocated objects types so there is no different between delete and delete[] in that environment ?

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• displaying keyboard raises memory... but it never comes down iPhone

  - by Joshep Freeman

  Hello again. I encountered a weird behavior in memory just by displaying the default keyboard. I've just created a project with an .xib file for testing purposes. This .xib file has an UITextField element in it and it's connected in the .h via: @property(nonatomic, retain) IBOutlet UITextField *sometext; The .m has no changes but: - (void)viewDidAppear:(BOOL)animated { [someText becomeFirstResponder]; } As you see it's very very simple. The problem is that once the keyboard is shown, the memory allocated for it NEVER goes down. I've tested this scenario in another project with the only difference of having two .xib files. Standar pushViewController and popViewController calls are made. Instruments show an increase of 600kb in memory allocations [which are a lot more in the actual iPhone device]. All in all, hehehe. My question is: How do I release the memory allocated for the keyboard?.

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• On WindowsMobile, how can i tell what other processes are reserving shared memory space?

  - by glutz78

  On WindowMobile 6.1, I am using VirtualAlloc to reserve 2MB chunks, which will return me an address from the large shared memory area so allocations do not count against my per process virtual space. (doc here: http://msdn.microsoft.com/en-us/library/aa908768.aspx) However, on some devices i notice that I am not able to reserve memory after a certain point. VirtualAlloc will return NULL (getlasterror() says out of memory). The only explanation for this that I see is that another process has already reserved a bunch of memory and my process is therefore unable to. Any idea where I can find a tool to show me the shared mem region of a WM device? Thanks.

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• Is garbage collector collects stack memory or heap momory ? or both ?

  - by kalpesh

  i read lot of article about garbage collection and almost all article tells about heap memory. so my question is "garbage collection collects stack memory or heap memory or both". thanks Kalpesh

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• Is there a way to log when a particular memory location gets written and by which function?

  - by rusbi

  I'm having a bug in my c++ program which happens very rarely but crashes my program. It's seems I have some buffer overflow problem or something similar. I find that these types of bug are most difficult to find. My program always crashes because of the same corrupted memory location. I'm wondering if there is some debugging tool which could detect when a particular memory location get written to and logs the function which does it. I'm using VLD (visual leak detector) for my memory leak hunting and it works great. It substitutes the original mallocs which its own and logs every allocation. I was wondering if there is something similar for memory? I know that something like that would cripple a program, but it could be really helpful.

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• Bad Intel DQ965GF motherboard? Fails memtest, but memory is good.

  - by Boden

  I've got a machine with a DQ965GF motherboard. Two days ago it started locking up hard. Ran memtest 3.3, 1.7, and TestMem 4. TestMem just freezes, memtest failed on moving 8 bit inversions. Letting memtest run eventually causes the system to restart. I pulled memory sticks one by one, and then replaced the memory with a couple of known good sticks. No luck. I switched power supplies, didn't help. Swapped video cards just to be safe. No help. When I start the machine I get a single beep before it POSTs. According to the manual, a single beep means: 1 beep - Refresh Error (with nothing on the screen and it is not a video problem) I'm assuming that the motherboard has failed since it's obviously not a RAM or power issue. Do you agree? NOTE: I also tried resetting BIOS defaults, and even flashed the BIOS to the latest version. I also ran the Mersenne Prime Test and the CPU seems to click along just fine. (Tried logging in to superuser with openid but it's not working for me today. Hope this gets through)

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• How can I get valgrind to tell me the address of each non-freed block of memory?

  - by James

  Valgrind tells me function xxx allocated memory which was not freed. Fine. It's proving more difficult than usual to trace however. To this end I have created numerous: #ifdef DEBUG fprintf(stderr, "something happening:%lx\n", (unsigned long)ptr); #endif So I just need to match these ptr addresses that are displayed with the addresses of non-freed memory. How can I get valgrind to tell me the address of each non-freed block of memory?

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• MEMORY(HEAP) vs. InnoDB in a Read and Write Environment

  - by Johannes

  I want to program a real-time application using MySQL. It needs a small table (less than 10000 rows) that will be under heavy read (scan) and write (update and some insert/delete) load. I am really speaking of 10000 updates or selects per second. These statements will be executed on only a few (less than 10) open mysql connections. The table is small and does not contain any data that needs to be stored on disk. So I ask which is faster: InnoDB or MEMORY (HEAP)? My thoughts are: Both engines will probably serve SELECTs directly from memory, as even InnoDB will cache the whole table. What about the UPDATEs? (innodb_flush_log_at_trx_commit?) My main concern is the locking behavior: InnoDB row lock vs. MEMORY table lock. Will this present the bottleneck in the MEMORY implementation? Thanks for your thoughts!

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• Is Java serialization a tool to shrink the memory footprint?

  - by Pentius

  Hey folks, does serialization in Java always have to shrink the memory that is used to hold an object structure? Or is it likely that serialization will have higher costs? In other words: Is serialization a tool to shrink the memory footprint of object structures in Java? Edit I'm totally aware of what serialization was intended for, but thanks anyway :-) But you know, tools can be misused. My question is, whether it is a good tool to decrease the memory usage. So what reasons can you imagine, why memory usage should increase/decrease? What will happen in most cases?

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• How to reduce virtual memory by optimising my PHP code?

  - by iCeR

  My current code (see below) uses 147MB of virtual memory! My provider has allocated 100MB by default and the process is killed once run, causing an internal error. The code is utilising curl multi and must be able to loop with more than 150 iterations whilst still minimizing the virtual memory. The code below is only set at 150 iterations and still causes the internal server error. At 90 iterations the issue does not occur. How can I adjust my code to lower the resource use / virtual memory? Thanks! <?php function udate($format, $utimestamp = null) { if ($utimestamp === null) $utimestamp = microtime(true); $timestamp = floor($utimestamp); $milliseconds = round(($utimestamp - $timestamp) * 1000); return date(preg_replace('`(?<!\\\\)u`', $milliseconds, $format), $timestamp); } $url = 'https://www.testdomain.com/'; $curl_arr = array(); $master = curl_multi_init(); for($i=0; $i<150; $i++) { $curl_arr[$i] = curl_init(); curl_setopt($curl_arr[$i], CURLOPT_URL, $url); curl_setopt($curl_arr[$i], CURLOPT_RETURNTRANSFER, 1); curl_setopt($curl_arr[$i], CURLOPT_SSL_VERIFYHOST, FALSE); curl_setopt($curl_arr[$i], CURLOPT_SSL_VERIFYPEER, FALSE); curl_multi_add_handle($master, $curl_arr[$i]); } do { curl_multi_exec($master,$running); } while($running > 0); for($i=0; $i<150; $i++) { $results = curl_multi_getcontent ($curl_arr[$i]); $results = explode("<br>", $results); echo $results[0]; echo "<br>"; echo $results[1]; echo "<br>"; echo udate('H:i:s:u'); echo "<br><br>"; usleep(100000); } ?> Processor Information Total processors: 8 Processor #1 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #2 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #3 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #4 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #5 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #6 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #7 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Processor #8 Vendor GenuineIntel Name Intel(R) Xeon(R) CPU E5405 @ 2.00GHz Speed 1995.120 MHz Cache 6144 KB Memory Information Memory for crash kernel (0x0 to 0x0) notwithin permissible range Memory: 8302344k/9175040k available (2176k kernel code, 80272k reserved, 901k data, 228k init, 7466304k highmem) System Information Linux server3.server.com 2.6.18-194.17.1.el5PAE #1 SMP Wed Sep 29 13:31:51 EDT 2010 i686 i686 i386 GNU/Linux Physical Disks SCSI device sda: 1952448512 512-byte hdwr sectors (999654 MB) sda: Write Protect is off sda: Mode Sense: 03 00 00 08 SCSI device sda: drive cache: write back SCSI device sda: 1952448512 512-byte hdwr sectors (999654 MB) sda: Write Protect is off sda: Mode Sense: 03 00 00 08 SCSI device sda: drive cache: write back sd 0:1:0:0: Attached scsi disk sda sd 4:0:0:0: Attached scsi removable disk sdb sd 0:1:0:0: Attached scsi generic sg4 type 0 sd 4:0:0:0: Attached scsi generic sg7 type 0 Current Memory Usage total used free shared buffers cached Mem: 8306672 7847384 459288 0 487912 6444548 -/+ buffers/cache: 914924 7391748 Swap: 4095992 496 4095496 Total: 12402664 7847880 4554784 Current Disk Usage Filesystem Size Used Avail Use% Mounted on /dev/mapper/VolGroup00-LogVol00 898G 307G 546G 36% / /dev/sda1 99M 19M 76M 20% /boot none 4.0G 0 4.0G 0% /dev/shm /var/tmpMnt 4.0G 1.8G 2.0G 48% /tmp

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• MEMORY(HEAP) vs. InnoDB in a Read and Write Envirnment

  - by Johannes

  I want to programm a real-time application using MySQL. It needs a small table (less than 10000 rows) that will be under heavy read (scan) and write (update and some insert/delete) load. I am really speaking of 10000 updates or selects per second. These statements will be executed on only a few (less than 10) open mysql connections. The table is small and does not contain any data that needs to be stored on disk. So I ask which is faster: InnoDB or MEMORY (HEAP)? My thoughts are: Both enginges will probably serve SELECTs directly from memory, as even InnoDB will cache the whole table. What about the UPDATAEs? (innodb_flush_log_at_trx_commit?) My main concern is the locking behavior: InnoDB row lock vs. MEMORY table lock. Will this present the bottleneck in the MEMORY implementation? Thanks for your thoughts!

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