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• CUDA not working in 64 bit windows 7

  - by Programmer

  I have cuda toolkit 4.0 installed in a 64 bit windows 7. I try building my cuda code, #include<iostream> #include"cuda_runtime.h" #include"cuda.h" __global__ void kernel(){ } int main(){ kernel<<<1,1>>>(); int c = 0; cudaGetDeviceCount(&c); cudaDeviceProp prop; cudaGetDeviceProperties(&prop, 0); std::cout<<"the name is"<<prop.name; std::cout<<"Hello World!"<<c<<std::endl; system("pause"); return 0; } but operation fails. Below is the build log: Build Log Rebuild started: Project: god, Configuration: Debug|Win32 Command Lines Creating temporary file "c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\Debug\BAT0000482007500.bat" with contents [ @echo off echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\bin\nvcc.exe" -gencode=arch=compute_10,code=\"sm_10,compute_10\" -gencode=arch=compute_20,code=\"sm_20,compute_20\" --machine 32 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin" -Xcompiler "/EHsc /W3 /nologo /O2 /Zi /MT " -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\include" -maxrregcount=0 --compile -o "Debug/sample.cu.obj" sample.cu "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\bin\nvcc.exe" -gencode=arch=compute_10,code=\"sm_10,compute_10\" -gencode=arch=compute_20,code=\"sm_20,compute_20\" --machine 32 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin" -Xcompiler "/EHsc /W3 /nologo /O2 /Zi /MT " -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\include" -maxrregcount=0 --compile -o "Debug/sample.cu.obj" "c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\sample.cu" if errorlevel 1 goto VCReportError goto VCEnd :VCReportError echo Project : error PRJ0019: A tool returned an error code from "Compiling with CUDA Build Rule..." exit 1 :VCEnd ] Creating command line """c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\Debug\BAT0000482007500.bat""" Creating temporary file "c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\Debug\RSP0000492007500.rsp" with contents [ /OUT:"C:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\Debug\god.exe" /LIBPATH:"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\lib\x64" /MANIFEST /MANIFESTFILE:"Debug\god.exe.intermediate.manifest" /MANIFESTUAC:"level='asInvoker' uiAccess='false'" /DEBUG /PDB:"C:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\Debug\god.pdb" /DYNAMICBASE /NXCOMPAT /MACHINE:X86 cudart.lib cuda.lib kernel32.lib user32.lib gdi32.lib winspool.lib comdlg32.lib advapi32.lib shell32.lib ole32.lib oleaut32.lib uuid.lib odbc32.lib odbccp32.lib ".\Debug\sample.cu.obj" ] Creating command line "link.exe @"c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\Debug\RSP0000492007500.rsp" /NOLOGO /ERRORREPORT:PROMPT" Output Window Compiling with CUDA Build Rule... "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\bin\nvcc.exe" -gencode=arch=compute_10,code=\"sm_10,compute_10\" -gencode=arch=compute_20,code=\"sm_20,compute_20\" --machine 32 -ccbin "C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC\bin" -Xcompiler "/EHsc /W3 /nologo /O2 /Zi /MT " -I"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v4.0\include" -maxrregcount=0 --compile -o "Debug/sample.cu.obj" sample.cu sample.cu sample.cu.obj : error LNK2019: unresolved external symbol _cudaLaunch@4 referenced in function "enum cudaError cdecl cudaLaunch(char *)" (??$cudaLaunch@D@@YA?AW4cudaError@@PAD@Z) sample.cu.obj : error LNK2019: unresolved external symbol ___cudaRegisterFunction@40 referenced in function "void __cdecl _sti_cudaRegisterAll_52_tmpxft_00001c68_00000000_8_sample_compute_10_cpp1_ii_b81a68a1(void)" (?sti__cudaRegisterAll_52_tmpxft_00001c68_00000000_8_sample_compute_10_cpp1_ii_b81a68a1@@YAXXZ) sample.cu.obj : error LNK2019: unresolved external symbol _cudaRegisterFatBinary@4 referenced in function "void __cdecl _sti_cudaRegisterAll_52_tmpxft_00001c68_00000000_8_sample_compute_10_cpp1_ii_b81a68a1(void)" (?sti__cudaRegisterAll_52_tmpxft_00001c68_00000000_8_sample_compute_10_cpp1_ii_b81a68a1@@YAXXZ) sample.cu.obj : error LNK2019: unresolved external symbol _cudaGetDeviceProperties@8 referenced in function _main sample.cu.obj : error LNK2019: unresolved external symbol _cudaGetDeviceCount@4 referenced in function _main sample.cu.obj : error LNK2019: unresolved external symbol _cudaConfigureCall@32 referenced in function _main C:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\Debug\god.exe : fatal error LNK1120: 7 unresolved externals Results Build log was saved at "file://c:\Users\t-sudhk\Documents\Visual Studio 2008\Projects\god\god\Debug\BuildLog.htm" god - 8 error(s), 0 warning(s) I will be highly obliged if someone could help me. Thanks

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• Strange performance behaviour for 64 bit modulo operation

  - by codymanix

  The last three of these method calls take approx. double the time than the first four. The only difference is that their arguments doesn't fit in integer anymore. But should this matter? The parameter is declared to be long, so it should use long for calculation anyway. Does the modulo operation use another algorithm for numbersmaxint? I am using amd athlon64 3200+, winxp sp3 and vs2008. Stopwatch sw = new Stopwatch(); TestLong(sw, int.MaxValue - 3l); TestLong(sw, int.MaxValue - 2l); TestLong(sw, int.MaxValue - 1l); TestLong(sw, int.MaxValue); TestLong(sw, int.MaxValue + 1l); TestLong(sw, int.MaxValue + 2l); TestLong(sw, int.MaxValue + 3l); Console.ReadLine(); static void TestLong(Stopwatch sw, long num) { long n = 0; sw.Reset(); sw.Start(); for (long i = 3; i < 20000000; i++) { n += num % i; } sw.Stop(); Console.WriteLine(sw.Elapsed); } EDIT: I now tried the same with C and the issue does not occur here, all modulo operations take the same time, in release and in debug mode with and without optimizations turned on: #include "stdafx.h" #include "time.h" #include "limits.h" static void TestLong(long long num) { long long n = 0; clock_t t = clock(); for (long long i = 3; i < 20000000LL*100; i++) { n += num % i; } printf("%d - %lld\n", clock()-t, n); } int main() { printf("%i %i %i %i\n\n", sizeof (int), sizeof(long), sizeof(long long), sizeof(void*)); TestLong(3); TestLong(10); TestLong(131); TestLong(INT_MAX - 1L); TestLong(UINT_MAX +1LL); TestLong(INT_MAX + 1LL); TestLong(LLONG_MAX-1LL); getchar(); return 0; } EDIT2: Thanks for the great suggestions. I found that both .net and c (in debug as well as in release mode) does't not use atomically cpu instructions to calculate the remainder but they call a function that does. In the c program I could get the name of it which is "_allrem". It also displayed full source comments for this file so I found the information that this algorithm special cases the 32bit divisors instead of dividends which was the case in the .net application. I also found out that the performance of the c program really is only affected by the value of the divisor but not the dividend. Another test showed that the performance of the remainder function in the .net program depends on both the dividend and divisor. BTW: Even simple additions of long long values are calculated by a consecutive add and adc instructions. So even if my processor calls itself 64bit, it really isn't :( EDIT3: I now ran the c app on a windows 7 x64 edition, compiled with visual studio 2010. The funny thing is, the performance behavior stays the same, although now (I checked the assembly source) true 64 bit instructions are used.

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• C# acting weird when reading in values from a file to an array

  - by Whitey

  This is the structure of my file: 1111111111111111111111111 2222222222222222222222222 3333333333333333333333333 4444444444444444444444444 5555555555555555555555555 6666666666666666666666666 7777777777777777777777777 8888888888888888888888888 9999999999999999999999999 0000000000000000000000000 0000000000000000000000000 0000000000000000000000000 0000000000000000000000000 0000000000000000000000000 And this is the code I'm using to read it into an array: using (StreamReader reader = new StreamReader(mapPath)) { string line; for (int i = 0; i < iMapHeight; i++) { if ((line = reader.ReadLine()) != null) { for (int j = 0; j < iMapWidth; j++) { iMap[i, j] = line[j]; } } } } I have done some debugging, and line[j] correctly iterates through each character in the currently read line. The problem lies with iMap[i, j]. After this block of code executes, this is the contents of iMap: - iMap {int[14, 25]} int[,] [0, 0] 49 int [0, 1] 49 int [0, 2] 49 int [0, 3] 49 int [0, 4] 49 int [0, 5] 49 int [0, 6] 49 int [0, 7] 49 int [0, 8] 49 int [0, 9] 49 int [0, 10] 49 int [0, 11] 49 int [0, 12] 49 int [0, 13] 49 int [0, 14] 49 int [0, 15] 49 int [0, 16] 49 int [0, 17] 49 int [0, 18] 49 int [0, 19] 49 int [0, 20] 49 int [0, 21] 49 int [0, 22] 49 int [0, 23] 49 int [0, 24] 49 int [1, 0] 50 int [1, 1] 50 int [1, 2] 50 int [1, 3] 50 int [1, 4] 50 int [1, 5] 50 int [1, 6] 50 int [1, 7] 50 int [1, 8] 50 int [1, 9] 50 int [1, 10] 50 int [1, 11] 50 int [1, 12] 50 int [1, 13] 50 int [1, 14] 50 int [1, 15] 50 int [1, 16] 50 int [1, 17] 50 int [1, 18] 50 int [1, 19] 50 int [1, 20] 50 int [1, 21] 50 int [1, 22] 50 int [1, 23] 50 int [1, 24] 50 int [2, 0] 51 int [2, 1] 51 int [2, 2] 51 int [2, 3] 51 int [2, 4] 51 int [2, 5] 51 int [2, 6] 51 int [2, 7] 51 int [2, 8] 51 int [2, 9] 51 int [2, 10] 51 int [2, 11] 51 int [2, 12] 51 int [2, 13] 51 int [2, 14] 51 int [2, 15] 51 int [2, 16] 51 int [2, 17] 51 int [2, 18] 51 int [2, 19] 51 int [2, 20] 51 int [2, 21] 51 int [2, 22] 51 int [2, 23] 51 int [2, 24] 51 int [3, 0] 52 int [3, 1] 52 int [3, 2] 52 int [3, 3] 52 int [3, 4] 52 int [3, 5] 52 int [3, 6] 52 int [3, 7] 52 int [3, 8] 52 int [3, 9] 52 int [3, 10] 52 int [3, 11] 52 int [3, 12] 52 int [3, 13] 52 int [3, 14] 52 int [3, 15] 52 int [3, 16] 52 int [3, 17] 52 int [3, 18] 52 int [3, 19] 52 int [3, 20] 52 int [3, 21] 52 int [3, 22] 52 int [3, 23] 52 int [3, 24] 52 int [4, 0] 53 int [4, 1] 53 int [4, 2] 53 int [4, 3] 53 int [4, 4] 53 int [4, 5] 53 int [4, 6] 53 int [4, 7] 53 int [4, 8] 53 int [4, 9] 53 int [4, 10] 53 int [4, 11] 53 int [4, 12] 53 int [4, 13] 53 int [4, 14] 53 int [4, 15] 53 int [4, 16] 53 int [4, 17] 53 int [4, 18] 53 int [4, 19] 53 int [4, 20] 53 int [4, 21] 53 int [4, 22] 53 int [4, 23] 53 int [4, 24] 53 int [5, 0] 54 int [5, 1] 54 int [5, 2] 54 int [5, 3] 54 int [5, 4] 54 int [5, 5] 54 int [5, 6] 54 int [5, 7] 54 int [5, 8] 54 int [5, 9] 54 int [5, 10] 54 int [5, 11] 54 int [5, 12] 54 int [5, 13] 54 int [5, 14] 54 int [5, 15] 54 int [5, 16] 54 int [5, 17] 54 int [5, 18] 54 int [5, 19] 54 int [5, 20] 54 int [5, 21] 54 int [5, 22] 54 int [5, 23] 54 int [5, 24] 54 int [6, 0] 55 int [6, 1] 55 int [6, 2] 55 int [6, 3] 55 int [6, 4] 55 int [6, 5] 55 int [6, 6] 55 int [6, 7] 55 int [6, 8] 55 int [6, 9] 55 int [6, 10] 55 int [6, 11] 55 int [6, 12] 55 int [6, 13] 55 int [6, 14] 55 int [6, 15] 55 int [6, 16] 55 int [6, 17] 55 int [6, 18] 55 int [6, 19] 55 int [6, 20] 55 int [6, 21] 55 int [6, 22] 55 int [6, 23] 55 int [6, 24] 55 int [7, 0] 56 int [7, 1] 56 int [7, 2] 56 int [7, 3] 56 int [7, 4] 56 int [7, 5] 56 int [7, 6] 56 int [7, 7] 56 int [7, 8] 56 int [7, 9] 56 int [7, 10] 56 int [7, 11] 56 int [7, 12] 56 int [7, 13] 56 int [7, 14] 56 int [7, 15] 56 int [7, 16] 56 int [7, 17] 56 int [7, 18] 56 int [7, 19] 56 int [7, 20] 56 int [7, 21] 56 int [7, 22] 56 int [7, 23] 56 int [7, 24] 56 int [8, 0] 57 int [8, 1] 57 int [8, 2] 57 int [8, 3] 57 int [8, 4] 57 int [8, 5] 57 int [8, 6] 57 int [8, 7] 57 int [8, 8] 57 int [8, 9] 57 int [8, 10] 57 int [8, 11] 57 int [8, 12] 57 int [8, 13] 57 int [8, 14] 57 int [8, 15] 57 int [8, 16] 57 int [8, 17] 57 int [8, 18] 57 int [8, 19] 57 int [8, 20] 57 int [8, 21] 57 int [8, 22] 57 int [8, 23] 57 int [8, 24] 57 int [9, 0] 48 int [9, 1] 48 int [9, 2] 48 int [9, 3] 48 int [9, 4] 48 int [9, 5] 48 int [9, 6] 48 int [9, 7] 48 int [9, 8] 48 int [9, 9] 48 int [9, 10] 48 int [9, 11] 48 int [9, 12] 48 int [9, 13] 48 int [9, 14] 48 int [9, 15] 48 int [9, 16] 48 int [9, 17] 48 int [9, 18] 48 int [9, 19] 48 int [9, 20] 48 int [9, 21] 48 int [9, 22] 48 int [9, 23] 48 int [9, 24] 48 int [10, 0] 48 int [10, 1] 48 int [10, 2] 48 int [10, 3] 48 int [10, 4] 48 int [10, 5] 48 int [10, 6] 48 int [10, 7] 48 int [10, 8] 48 int [10, 9] 48 int [10, 10] 48 int [10, 11] 48 int [10, 12] 48 int [10, 13] 48 int [10, 14] 48 int [10, 15] 48 int [10, 16] 48 int [10, 17] 48 int [10, 18] 48 int [10, 19] 48 int [10, 20] 48 int [10, 21] 48 int [10, 22] 48 int [10, 23] 48 int [10, 24] 48 int [11, 0] 48 int [11, 1] 48 int [11, 2] 48 int [11, 3] 48 int [11, 4] 48 int [11, 5] 48 int [11, 6] 48 int [11, 7] 48 int [11, 8] 48 int [11, 9] 48 int [11, 10] 48 int [11, 11] 48 int [11, 12] 48 int [11, 13] 48 int [11, 14] 48 int [11, 15] 48 int [11, 16] 48 int [11, 17] 48 int [11, 18] 48 int [11, 19] 48 int [11, 20] 48 int [11, 21] 48 int [11, 22] 48 int [11, 23] 48 int [11, 24] 48 int [12, 0] 48 int [12, 1] 48 int [12, 2] 48 int [12, 3] 48 int [12, 4] 48 int [12, 5] 48 int [12, 6] 48 int [12, 7] 48 int [12, 8] 48 int [12, 9] 48 int [12, 10] 48 int [12, 11] 48 int [12, 12] 48 int [12, 13] 48 int [12, 14] 48 int [12, 15] 48 int [12, 16] 48 int [12, 17] 48 int [12, 18] 48 int [12, 19] 48 int [12, 20] 48 int [12, 21] 48 int [12, 22] 48 int [12, 23] 48 int [12, 24] 48 int [13, 0] 48 int [13, 1] 48 int [13, 2] 48 int [13, 3] 48 int [13, 4] 48 int [13, 5] 48 int [13, 6] 48 int [13, 7] 48 int [13, 8] 48 int [13, 9] 48 int [13, 10] 48 int [13, 11] 48 int [13, 12] 48 int [13, 13] 48 int [13, 14] 48 int [13, 15] 48 int [13, 16] 48 int [13, 17] 48 int [13, 18] 48 int [13, 19] 48 int [13, 20] 48 int [13, 21] 48 int [13, 22] 48 int [13, 23] 48 int [13, 24] 48 int Sorry for the lame formatting, but it's huge :P I have no idea where it's getting these values from, does anyone have an explanation? Thanks :)

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• top tweets WebLogic Partner Community – November 2011

  - by JuergenKress

  Send us your tweets @wlscommunity #WebLogicCommunity and follow us on twitter http://twitter.com/wlscommunity glassfish GlassFish Marek’s JAX-RS 2.0 content from Devoxx 2011 – bit.ly/sp2NJO chriscmuir chriscmuir New blog post: ADF bug: missing af:column borders in af:table for IE7 – t.co/81np2jug chriscmuir chriscmuir Reading: Oracle’s ADF Rich Client User Interface (RCUI) Guidelines – oracle.com/webfolder/ux/m… netbeans NetBeans Team Bottlenecks be gone! #Java Performance Tuning workshop in Munich w Kirk Pepperdine, Nov 29-Dec 2: ow.ly/7Akh5 OracleBlogs OracleBlogs Creating ADF Faces Comamnd Button at Runtime ow.ly/1fM9dE alexismp Alexis MP blogged "GlassFish Back from Devoxx 2011, Mature Java EE 6 and EE 7 well on its way" – bit.ly/rP8LV0 JDeveloper JDeveloper & ADF Usage of jQuery in ADF dlvr.it/x3t84 20 hours ago Favorite Retweet Reply OTNArchBeat OTNArchBeat Webcast: Introducing Oracle WebLogic Server 12c: Developer Deep Dive – Dec 1 – 11am PT / 2pm ET bit.ly/t61W4G oraclepartners ORCL PartnerNetwork Brand new Oracle WebLogic 12c will launch on December 1, 10AM PT with a global Webcast highlighting salient… t.co/aflQQ3IX OracleBlogs OracleBlogs JDeveloper and ADF at UKOUG t.co/2CQTiB9n fnimphiu Frank Nimphius Attending UKOUG? All ADF sessions at a glance: t.co/TcMNTMXp 21 Nov Favorite Retweet Reply JDeveloper JDeveloper & ADF Free Webinar ‘ADF Task Flows for Beginners’, information and registration t.co/66jXnGgo via javafx4you javafx4you Java Developer Workshop #2 – Dec 1, 2011 @ Oracle Aoyama center in Tokyo t.co/8p9q3W2B AMIS_Services AMIS Services #vacature #Oracle #ADF ontwikkelaars. bit.ly/AMISADF Gun jezelf een nieuwe uitdaging? Meer op: dld.bz/azZ5N OracleBlogs OracleBlogs Launch Invitation: Introducing Oracle WebLogic Server 12c t.co/bRxCKwAk fnimphiu Frank Nimphius The brand new WebLogic 12c will be released on December 1st 2011 !!! Register for online launch event t.co/pPScg4Xh glassfish GlassFish Announcing Oracle WebLogic 12c – t.co/qh8TdFEl AdamBien Adam Bien Sun Coding Conventions–The Only Standard (Stop Inventing): Code written according to the Sun Coding Conventions… t.co/qaUWp5Mz wlscommunity WebLogic Community Launch Invitation: Introducing Oracle WebLogic Server 12c wp.me/p1LMIb-4y andrejusb Andrejus Baranovskis Andrejus Baranovskis’s Blog: Custom Exception Registration for ADF BC EO Attribute fb.me/1m6nXQD52 MNEMONIC01 Michel Schildmeijer Blog by Michel Schildmeijer: "Oracle WebLogic 12c has been announced" bit.ly/vk6WQL glassfish GlassFish Tab Sweep – Coherence, SBT for GlassFish, OSGi in question, Java EE plugins, … t.co/tVIL95lj OracleBlogs OracleBlogs JavaFX 2.0 at Devoxx 2011 ow.ly/1fJ5iT JDeveloper JDeveloper & ADF Experimenting with ADF BC Application Module Pool Tuning dlvr.it/wjLC1 OracleWebLogic Oracle WebLogic Brand New #WebLogic 12c Launch Event, Dec 1 10am PT. Hasan Rizvi, SVP Fusion Middleware. Developer session. bit.ly/weblogic12clau… JDeveloper JDeveloper & ADF PopUp and Esc/Cancel operations. ADF 11g dlvr.it/whrmC JDeveloper JDeveloper & ADF BPM Workspace: issue loading ADF task flows t.co/vk1gKPx5 OpenJDK OpenJDK Kelly O’Hair — OpenJDK B24 Available : t.co/1bFws6Nw JDeveloper JDeveloper & ADF Oracle ADF setting Task flow to use same page definition file of caller page t.co/9k6UIoYZ JDeveloper JDeveloper & ADF Master Detail Data presentation and CRUD Operations. Detail records in an Editable Popup. ADF 11g t.co/H8uudR0Y JDeveloper JDeveloper & ADF Entity Attribute Validation Rule (Business Rule) based on Master View Object Attribute Example ADF 11g t.co/1agxEQcZ oracletechnet Justin Kestelyn Webcast: Oracle WebLogic Server 12c Launch/Developer Deep-Dive (Dec. 1) t.co/OVBdGKzC JDeveloper JDeveloper & ADF How to render different node icons for different tree levels dlvr.it/wY2jL JDeveloper JDeveloper & ADF Query Component with ‘dynamic’ view criteria dlvr.it/wXlF1 JDeveloper JDeveloper & ADF How to play Flash .swf file in Oracle ADF application t.co/zaSONWAH Devoxx Devoxx Duke at the #Devoxx 2011 Noxx Party! pic.twitter.com/bVJWyu1Z brhubart Bob Rhubart Adam Leftik: JavaEE adoption continues to increase, reaching 40+ million downloads this year. #qconsf11 JDeveloper JDeveloper & ADF Free #ODTUG Seminar – #ADF Task Flows for Beginners – sign up today. www3.gotomeeting.com/register/13372… java Java New Project: OpenJFX j.mp/tI4k3s #javafx #openjdk #devoxx << JavaFX is open source! /via frankmunz Frank Munz WebLogic 12c launch event Dec 1st. t.co/jQKinBqN brhubart Bob Rhubart Spring to Java EE Migration | David Heffelfinger feedly.com/k/td8ccG odtug ODTUG Mark your calendars and register for our upcoming webinars: bit.ly/dWKG1C ADF Task Flows & Measuring Scalability & Performance w/TCP myfear Markus Eisele Anybody willing to take this question? Using #JavaMail with #Weblogic Server bit.ly/stJOET AMIS_Services AMIS Services 20-22 december #training #Oracle JHeadstart #11g, productief ontwikkelen met ADF. Schrijf je in op: amis.nl/trainingen/ora… AdamBien Adam Bien Stress Testing Java EE 6 Applications – Free Article In Free Java Magazine: In the November / December 2011 issu… bit.ly/vmzKkc java Java New Tech Article: Spring to #JavaEE Migration t.co/0EvdHNxb OracleBlogs OracleBlogs WebLogic Java record SPARC T4-4 Servers Set World Record on SPECjEnterprise2010 t.co/Eu1b6ZE0 OracleBlogs OracleBlogs What Is JavaFX? ow.ly/1frb6I OTNArchBeat OTNArchBeat The openJDK Windows Binary Download | Adam Bien ow.ly/7fRiG wlscommunity WebLogic Community WebLogic – Java record – SPARC T4-4 Servers Set World Record on SPECjEnterprise2010 glassfish GlassFish "youtube.com/java" blogs.oracle.com/theaquarium/en… OTNArchBeat OTNArchBeat Beta Testing Concludes: 1Z1-102 – "Oracle WebLogic Server 11g: System Administration I" (Oracle Certification) ow.ly/7fJCl wlscommunity WebLogic Community A deep dive in Oracle WebLogic! @ Contribute – November 29th, 2011 Kontich Belgium wp.me/p1LMIb-4u glassfish GlassFish Gartner’s Latest Enterprise Application Server Magic Quadrant – Oracle’s leadership t.co/aYDqipD8 OpenJDK OpenJDK Terrence Barr – Open sourcing of JavaFX: OpenJFX Project proposed – bit.ly/uKVnEl OpenJDK OpenJDK Maurizio Cimadamore – Testing overload resolution: bit.ly/vgXAbQ java Java Java User Groups Roundup, November 2011 : t.co/hea6vVnk /via @robilad << in German JavaSpotlight The Java Spotlight Java Spotlight Episode 54: Stuart Marks on the Coinification of JDK7 goo.gl/fb/3UXoM OTNArchBeat OTNArchBeat Article Series: Migrating Spring to Java EE 6 | Arun Gupta bit.ly/twUJtz glassfish GlassFish New Java EE 6 Hands-On lab, Devoxx-approved! bit.ly/vup5uE java Java Brian Goetz’s enthusiasm for Java is palpable! #devoxx interview adf_emg ADF EMG "ADF testing with a mock framework" – what is a mock framework? Visit the forum and see: groups.google.com/forum/#!topic/… java Java Taping a bunch of interviews today with Java experts at #devoxx. View on Parleys.com tomorrow. glassfish GlassFish New screencast to configure and run a cross-machine cluster using GlassFish 3.1.1 in < 7 mins faissalb.blogspot.com/2011/11/glassf… (via @bfaissal) glassfish GlassFish Oracle Contributor Agreements – New Home! bit.ly/tD2eLo OTNArchBeat OTNArchBeat Java Magazine – by and for the Java Community- inaugural issue bit.ly/tTv8UD OTNArchBeat OTNArchBeat The Heroes of Java: Michael Hüttermann | @MyFear bit.ly/rYYOFe javafx4you javafx4you Development with #JavaFX on #Linux j.mp/uOpe69 #not_for_the_faint_of_heart java Java Contribute Technical Questions for Java Experts at #devoxx bit.ly/up2cN0 netbeans NetBeans Team A simple REST service using #NetBeans 7, #Java Servlet, and #JAXB: t.co/pKkufsD8 AdamBien Adam Bien The most beautiful, and portable slide of the whole #jaxcon for "Die Hard Java EE 6"session checked-in: kenai.com/projects/javae… jaxlondon JAX London Mark Little’s (@nmcl) excellent keynote from #jaxlondon ‘Middleware Everywhere…’ is available in full – t.co/8vBmtDJ1 AdamBien Adam Bien Calculator sample from "Die Hard Java EE 6" #jaxcon session checked-in: t.co/0UqaULfg OTNArchBeat OTNArchBeat ADF Faces – a logic bomb in the order of bean instantiations | @ChrisCMuir bit.ly/vjqRaZ OracleBlogs OracleBlogs ODI 11g y JMS Queue de Weblogic ow.ly/1fzfQJ frankmunz Frank Munz Which WebLogic book do you recommend? Review of S. Alapati’s WebLogic 11g Administration Handbook. bit.ly/rP0RtW JDeveloper JDeveloper & ADF PageFlowScope with Unbounded Task Flows: the magic sauce for multi-browser-tab support in JDeveloper ADF applications dlvr.it/vNFgn OracleBlogs OracleBlogs 3 New ADF Insider Essential training videos published. ow.ly/1fz94q OracleBlogs OracleBlogs Weblogic Server 11gR1 PS2: Administration Essentials book and eBook t.co/ykzwIaqs OracleBlogs OracleBlogs Specialized Partners Only! 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Gather your questions. 15 minutes to go lucasjellema Lucas Jellema Review by Markus of Michel’s book: t.co/41U9wvOb In short: valuable for novice WLS users, maybe not so much for die-hard WLS admin. biemond Edwin Biemond “@myfear: [blog] #Review: "#Weblogic Server 11gR1 PS2: Administration Essentials" t.co/LsODcb3e” got the same conclusion on amazon glassfish GlassFish Practical advice for deploying Lift apps to GlassFish: bit.ly/t3KUml glassfish GlassFish The unbearable lightness of GlassFish t.co/v9307SEJ javafx4you javafx4you Building Java EE applications in JavaFX: JavaFX 2.0, FXML and Spring j.mp/tiMDUh andrejusb Andrejus Baranovskis Andrejus Baranovskis’s Blog: Stress Testing Oracle ADF BC Applications – Passiv… andrejusb.blogspot.com/2011/11/stress… wlscommunity WebLogic Community “@AMIS_Services: Follow @amis_services To Win a copy of SOA Suite 11g Handbook by @lucasjellema dld.bz/axD22 pls RT” excellent book! glassfish GlassFish GlassFish 3.1.2 themes and features bit.ly/uEc6uZ biemond Edwin Biemond Weblogic pre-sales exam was hard, you really need to know the versions , upgrade path and have a score above 80% monkchips James Governor The Rise and Fall and Rise of Java. JAX 2011 london keynote. how big data and the web are floating the boat. slidesha.re/u3Kzlo glassfish GlassFish Tab Sweep – Jersey, Hudson, GlassFish Hosting, GC’s compared, Spring to JavaEE, Modularity, … bit.ly/u9Cc30 oracletechnet Justin Kestelyn Oracle Tuxedo: A renewed acquaintance t.co/gp0mmf20 OTNArchBeat OTNArchBeat Oracle Enterprise Pack for Eclipse, OEPE 11.1.1.8 bit.ly/tC3eKp OracleBlogs OracleBlogs NetBeans HTML Editor and Groovy Editor in a Multiview Component (Part 2) ow.ly/1ftCeI myfear Markus Eisele [blog] #Oracle 2008 – 2011 in Gartners Magic Quadrant for Enterprise Application Servers t.co/2Bs1vgMZ myfear Markus Eisele [blog] #EclipseCon Europe – Java 7 in the Enterprise goo.gl/fb/r80df #ece2011 #java7 javafx4you javafx4you JavaFX 2.0 for Mac build b07 (developer preview) is available for download j.mp/vSwmBP Enjoy! #JavaFX #Mac OracleBlogs OracleBlogs A deep dive in Oracle WebLogic! @ Contribute November 29th, 2011 Kontich Belgium ow.ly/1fsEZs arungupta Arun Gupta #JavaEE7 slides from #jaxlondon and #jfall11 now available: slidesha.re/sh4iFq AdamBien Adam Bien Just checked-in the results of the #jaxlondon community night (somehow beer related): kenai.com/projects/javae… glassfish GlassFish GlassFish Podcast Episode #080 – User Stories, Part 3: Adam Bien and Sean Comerford (ESPN) blogs.oracle.com/glassfishpodca… glassfish GlassFish Story: t.co/jQPqihJb using GlassFish blogs.oracle.com/stories/entry/… "3000+ requests/sec" and more enterprisejava Java EE Mentions New blog post WebLogic deployment status checks for CI wp.me/pOOSs-F #weblogic #continuousintegration /vi… bit.ly/uZz0fk The become a member in the WebLogic Partner Community please first login at http://partner.oracle.com and then visit: http://www.oracle.com/partners/goto/wls-emea Blog Twitter LinkedIn Mix Forum Wiki Technorati Tags: twitter,WebLogic,WebLogic Community,OPN,Oracle,Jürgen Kress

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• How do I install the newest Flash beta for Minefield on 64-bit Ubuntu?

  - by Øsse

  Hi, I'm using a fully updated Ubuntu 10.10 64-bit which is pretty much bog standard except I'm using Minefield from the Mozilla daily PPA in addition to Firefox as provided by Ubuntu. I want to try the newest beta of Flash (10.3 as of writing). The installation instructions simply say "drop libflashplayer.so into the plugin folder of your browser". This the 32-bit version. Currently I'm using Flash as provided by the package flashplugin-installer (ver. 10.2.152.27ubuntu0.10.10.1). Going to about:plugins in Minefield/Firefox says the version of Flash I'm running is 10.2 r152 and the file responsible is npwrapper.libflashplayer.so. I have two files with that name on my system. One is /usr/share/ubufox/plugins/npwrapper.libflashplayer.so which is a broken link to /usr/lib/flashplugin-installer/npwrapper.libflashplayer.so. The other is /var/lib/flashplugin-installer/npwrapper.libflashplayer.so (note var instead of usr). I also have a file simply called libflashplayer.so in /usr/lib/flashplugin-installer/. So it seems Firefox/Minefield gets its Flash plugin from a file that doesn't exist, and replacing libflashplayer.so with the one in the archive from Adobe has no effect. Since I want to try the 32-bit version I have to use the wrapper. The only way I know how is through the flashplugin-installer package. How would I go about installing the newest 32-bit beta Flash if possible at all? And where is "the plugin folder of my browser"?

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• How to find out when to increase bit rate? (TCP streaming solution)

  - by Kabumbus

  How to find out when to increase bit rate? (TCP streaming solution) We have a stream with "frames". each "frame" has a "timestamp" . frames have bit rate property which is actually there size. We generate frames with our app and stream them one by one on to our TCP server socket. At the same time server post replies so when after each sent frame we try to read from socket we receive which timestamp is currently on server. if timestamp is lover than previous frame we lover bit rate 20%. Such scheme seems to work giving me one way vbr (lowering) but I wonder how to implement increase? I mean we can always try to increase 5% each frame until some limited desired value but each time we have delay will lose real-time feature of our stream... Generally such scheme is for finding out how much of network stream is currently used by other user apps and give picture of how much server is loaded at the same time so we can stream just right amount of data for all to receive it in real time. So what shall I do to add increase to my scheme? So having current bit rate of A I thought we could add +7% for 3 frames and than one -20% and than if all that 3 frames with +7% came in time we could add 14% to A and repeat circle and it would hopefully not be really noticeable if 2nd frame wold come to us with delay... probably this one is too localised because it is a requirement for me to use TCP.

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• Clipboard Copy-Paste doesn't work on Win Server 2008/Vista 64bit

  - by Itay Levin

  Hi, I am trying to use Clipboard API (in Delphi) to extract images from Word documents. my code works OK in Windows XP/2003 but in windows 2008 64 bit it doesn't work. in win 2008 i get an error saying that Clipboard.Formats is empty and doesn't contain any format. The image seems to be copied to the Clipboard (i can see it in the clipboard via Word) but when i try to ask the clipboard what format does he have it said it doesn't have any formats. how can i access the clipboard programmatically on win 2008/Vista? from what i know of 2008 64 bit, it might be a security issue... here is the code snippet: This is how i am trying to copy the Image to the clipboard: W.ActiveDocument.InlineShapes.Item(1).Select; // W is a word ole object W.Selection.Copy; and this is how i try to paste it. Clipboard.Open; Write2DebugFile('FormatCount = ' + IntToStr(Clipboard.FormatCount)); // FormatCount=0 For JJ := 1 to Clipboard.FormatCount Do Write2DebugFile('#'+ IntToStr(JJ) + ':' + IntToStr(Clipboard.Formats[JJ])); If (Clipboard.HasFormat(CF_BITMAP)) or (Clipboard.HasFormat(CF_PICTURE)) or (Clipboard.HasFormat(CF_METAFILEPICT)) then // all HasFormat calls returns false. Begin Jpeg := TJPEGImage.Create; Bitmap := TBitmap.Create; Bitmap.LoadFromClipboardFormat(cf_BitMap,ClipBoard.GetAsHandle(cf_Bitmap),0); Jpeg.Assign(Bitmap); Jpeg.SaveToFile(JpgFileN); try Jpeg.Free; except; end; ResizeImage(JpgFileN,750); Write2DebugFile('Saving ' + JpgFileN); End else Write2DebugFile('Doesnt have the right format'); Thanks in advance, Itay

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• Find three numbers appeared only once

  - by shilk

  In a sequence of length n, where n=2k+3, that is there are k unique numbers appeared twice and three numbers appeared only once. The question is: how to find the three unique numbers that appeared only once? for example, in sequence 1 1 2 6 3 6 5 7 7 the three unique numbers are 2 3 5. Note: 3<=n<1e6 and the number will range from 1 to 2e9 Memory limits: 1000KB , this implies that we can't store the whole sequence. Method I have tried(Memory limit exceed): I initialize a tree, and when read in one number I try to remove it from the tree, if the remove returns false(not found), I add it to the tree. Finally, the tree has the three numbers. It works, but is Memory limit exceed. I know how to find one or two such number(s) using bit manipulation. So I wonder if we can find three using the same method(or some method similar)? Method to find one/two number(s) appeared only once: If there is one number appeared only once, we can apply XOR to the sequence to find it. If there are two, we can first apply XOR to the sequence, then separate the sequence into 2 parts by one bit of the result that is 1, and again apply XOR to the 2 parts, and we will find the answer.

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• Fastest way to clamp a real (fixed/floating point) value?

  - by Niklas

  Hi, Is there a more efficient way to clamp real numbers than using if statements or ternary operators? I want to do this both for doubles and for a 32-bit fixpoint implementation (16.16). I'm not asking for code that can handle both cases; they will be handled in separate functions. Obviously, I can do something like: double clampedA; double a = calculate(); clampedA = a > MY_MAX ? MY_MAX : a; clampedA = a < MY_MIN ? MY_MIN : a; or double a = calculate(); double clampedA = a; if(clampedA > MY_MAX) clampedA = MY_MAX; else if(clampedA < MY_MIN) clampedA = MY_MIN; The fixpoint version would use functions/macros for comparisons. This is done in a performance-critical part of the code, so I'm looking for an as efficient way to do it as possible (which I suspect would involve bit-manipulation) EDIT: It has to be standard/portable C, platform-specific functionality is not of any interest here. Also, MY_MIN and MY_MAX are the same type as the value I want clamped (doubles in the examples above).

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• finding N contiguous zero bits in an integer to the left of the MSB from another

  - by James Morris

  First we find the MSB of the first integer, and then try to find a region of N contiguous zero bits within the second number which is to the left of the MSB from the first integer. Here is the C code for my solution: typedef unsigned int t; unsigned const t_bits = sizeof(t) * CHAR_BIT; _Bool test_fit_within_left_of_msb( unsigned width, t val1, t val2, unsigned* offset_result) { unsigned offbit = 0; unsigned msb = 0; t mask; t b; while(val1 >>= 1) ++msb; while(offbit + width < t_bits - msb) { mask = (((t)1 << width) - 1) << (t_bits - width - offbit); b = val2 & mask; if (!b) { *offset_result = offbit; return true; } if (offbit++) /* this conditional bothers me! */ b <<= offbit - 1; while(b <<= 1) offbit++; } return false; } Aside from faster ways of finding the MSB of the first integer, the commented test for a zero offbit seems a bit extraneous, but necessary to skip the highest bit of type t if it is set. I have also implemented similar algorithms but working to the right of the MSB of the first number, so they don't require this seemingly extra condition. How can I get rid of this extra condition, or even, are there far more optimal solutions?

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• How do you return a string from a function correctly in Dynamic C?

  - by aquanar

  I have a program I am trying to debug, but Dynamic C apparently treats strings differently than normal C does (well, character arrays, anyway). I have a function that I made to make an 8 character long (well, 10 to include the \0 ) string of 0s and 1s to show me the contents of an 8-bit char variable. (IE, I give it the number 13, it returns the string "0001101\0" ) When I use the code below, it prints out !{happy face] 6 times (well, the second one is the happy face alone for some reason), each return comes back as 0xDEAE or "!\x02. I thought it would dereference it and return the appropriate string, but it appears to just be sending the pointer and attempting to parse it. This may seem silly, but my experience was actually in C++ and Java, so going back to C brings up a few issues that were dealt with in later programming languages that I'm not entirely sure how to deal with (like the lack of string variables). How could I fix this code, or how would be a better way to do what I am trying to do (I thought maybe sending in a pointer to a character array and working on it from the function might work, but I thought I should ask to see if maybe I'm just trying to reinvent the wheel). Currently I have it set up like this: this is an excerpt from the main() display[0] = '\0'; for(i=0;i<6;i++) { sprintf(s, "%s ", *char_to_bits(buffer[i])); strcat(display, s); } DispStr(8,5, display); and this is the offending function: char *char_to_bits(char x) { char bits[16]; strcpy(bits,"00000000\0"); if (x & 0x01) bits[7]='1'; if (x & 0x02) bits[6]='1'; if (x & 0x04) bits[5]='1'; if (x & 0x08) bits[4]='1'; if (x & 0x10) bits[3]='1'; if (x & 0x20) bits[2]='1'; if (x & 0x40) bits[1]='1'; if (x & 0x80) bits[0]='1'; return bits; } and just for the sake of completion, the other function is used to output to the stdio window at a specific location: void DispStr(int x, int y, char *s) { x += 0x20; y += 0x20; printf ("\x1B=%c%c%s", x, y, s); }

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• How to optimize this simple function which translates input bits into words?

  - by psihodelia

  I have written a function which reads an input buffer of bytes and produces an output buffer of words where every word can be either 0x0081 for each ON bit of the input buffer or 0x007F for each OFF bit. The length of the input buffer is given. Both arrays have enough physical place. I also have about 2Kbyte free RAM which I can use for lookup tables or so. Now, I found that this function is my bottleneck in a real time application. It will be called very frequently. Can you please suggest a way how to optimize this function? I see one possibility could be to use only one buffer and do in-place substitution. void inline BitsToWords(int8 *pc_BufIn, int16 *pw_BufOut, int32 BufInLen) { int32 i,j,z=0; for(i=0; i<BufInLen; i++) { for(j=0; j<8; j++, z++) { pw_BufOut[z] = ( ((pc_BufIn[i] >> (7-j))&0x01) == 1? 0x0081: 0x007f ); } } } Please do not offer any compiler specific or CPU/Hardware specific optimization, because it is a multi-platform project.

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• Fastest method to define whether a number is a triangular number

  - by psihodelia

  A triangular number is the sum of the n natural numbers from 1 to n. What is the fastest method to find whether a given positive integer number is a triangular one? I suppose, there must be a hidden pattern in a binary representation of such numbers (like if you need to find whether a number is even/odd you check its least significant bit). Here is a cut of the first 1200th up to 1300th triangular numbers, you can easily see a bit-pattern here (if not, try to zoom out): (720600, '10101111111011011000') (721801, '10110000001110001001') (723003, '10110000100000111011') (724206, '10110000110011101110') (725410, '10110001000110100010') (726615, '10110001011001010111') (727821, '10110001101100001101') (729028, '10110001111111000100') (730236, '10110010010001111100') (731445, '10110010100100110101') (732655, '10110010110111101111') (733866, '10110011001010101010') (735078, '10110011011101100110') (736291, '10110011110000100011') (737505, '10110100000011100001') (738720, '10110100010110100000') (739936, '10110100101001100000') (741153, '10110100111100100001') (742371, '10110101001111100011') (743590, '10110101100010100110') (744810, '10110101110101101010') (746031, '10110110001000101111') (747253, '10110110011011110101') (748476, '10110110101110111100') (749700, '10110111000010000100') (750925, '10110111010101001101') (752151, '10110111101000010111') (753378, '10110111111011100010') (754606, '10111000001110101110') (755835, '10111000100001111011') (757065, '10111000110101001001') (758296, '10111001001000011000') (759528, '10111001011011101000') (760761, '10111001101110111001') (761995, '10111010000010001011') (763230, '10111010010101011110') (764466, '10111010101000110010') (765703, '10111010111100000111') (766941, '10111011001111011101') (768180, '10111011100010110100') (769420, '10111011110110001100') (770661, '10111100001001100101') (771903, '10111100011100111111') (773146, '10111100110000011010') (774390, '10111101000011110110') (775635, '10111101010111010011') (776881, '10111101101010110001') (778128, '10111101111110010000') (779376, '10111110010001110000') (780625, '10111110100101010001') (781875, '10111110111000110011') (783126, '10111111001100010110') (784378, '10111111011111111010') (785631, '10111111110011011111') (786885, '11000000000111000101') (788140, '11000000011010101100') (789396, '11000000101110010100') (790653, '11000001000001111101') (791911, '11000001010101100111') (793170, '11000001101001010010') (794430, '11000001111100111110') (795691, '11000010010000101011') (796953, '11000010100100011001') (798216, '11000010111000001000') (799480, '11000011001011111000') (800745, '11000011011111101001') (802011, '11000011110011011011') (803278, '11000100000111001110') (804546, '11000100011011000010') (805815, '11000100101110110111') (807085, '11000101000010101101') (808356, '11000101010110100100') (809628, '11000101101010011100') (810901, '11000101111110010101') (812175, '11000110010010001111') (813450, '11000110100110001010') (814726, '11000110111010000110') (816003, '11000111001110000011') (817281, '11000111100010000001') (818560, '11000111110110000000') (819840, '11001000001010000000') (821121, '11001000011110000001') (822403, '11001000110010000011') (823686, '11001001000110000110') (824970, '11001001011010001010') (826255, '11001001101110001111') (827541, '11001010000010010101') (828828, '11001010010110011100') (830116, '11001010101010100100') (831405, '11001010111110101101') (832695, '11001011010010110111') (833986, '11001011100111000010') (835278, '11001011111011001110') (836571, '11001100001111011011') (837865, '11001100100011101001') (839160, '11001100110111111000') (840456, '11001101001100001000') (841753, '11001101100000011001') (843051, '11001101110100101011') (844350, '11001110001000111110') For example, can you also see a rotated normal distribution curve, represented by zeros between 807085 and 831405?

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• Node.js Adventure - When Node Flying in Wind

  - by Shaun

  In the first post of this series I mentioned some popular modules in the community, such as underscore, async, etc.. I also listed a module named “Wind (zh-CN)”, which is created by one of my friend, Jeff Zhao (zh-CN). Now I would like to use a separated post to introduce this module since I feel it brings a new async programming style in not only Node.js but JavaScript world. If you know or heard about the new feature in C# 5.0 called “async and await”, or you learnt F#, you will find the “Wind” brings the similar async programming experience in JavaScript. By using “Wind”, we can write async code that looks like the sync code. The callbacks, async stats and exceptions will be handled by “Wind” automatically and transparently.   What’s the Problem: Dense “Callback” Phobia Let’s firstly back to my second post in this series. As I mentioned in that post, when we wanted to read some records from SQL Server we need to open the database connection, and then execute the query. In Node.js all IO operation are designed as async callback pattern which means when the operation was done, it will invoke a function which was taken from the last parameter. For example the database connection opening code would be like this. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: } 8: }); And then if we need to query the database the code would be like this. It nested in the previous function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: } 14: }; 15: } 16: }); Assuming if we need to copy some data from this database to another then we need to open another connection and execute the command within the function under the query function. 1: sql.open(connectionString, function(error, conn) { 2: if(error) { 3: // some error handling code 4: } 5: else { 6: // connection opened successfully 7: conn.queryRaw(command, function(error, results) { 8: if(error) { 9: // failed to execute this command 10: } 11: else { 12: // records retrieved successfully 13: target.open(targetConnectionString, function(error, t_conn) { 14: if(error) { 15: // connect failed 16: } 17: else { 18: t_conn.queryRaw(copy_command, function(error, results) { 19: if(error) { 20: // copy failed 21: } 22: else { 23: // and then, what do you want to do now... 24: } 25: }; 26: } 27: }; 28: } 29: }; 30: } 31: }); This is just an example. In the real project the logic would be more complicated. This means our application might be messed up and the business process will be fragged by many callback functions. I would like call this “Dense Callback Phobia”. This might be a challenge how to make code straightforward and easy to read, something like below. 1: try 2: { 3: // open source connection 4: var s_conn = sqlConnect(s_connectionString); 5: // retrieve data 6: var results = sqlExecuteCommand(s_conn, s_command); 7: 8: // open target connection 9: var t_conn = sqlConnect(t_connectionString); 10: // prepare the copy command 11: var t_command = getCopyCommand(results); 12: // execute the copy command 13: sqlExecuteCommand(s_conn, t_command); 14: } 15: catch (ex) 16: { 17: // error handling 18: }   What’s the Problem: Sync-styled Async Programming Similar as the previous problem, the callback-styled async programming model makes the upcoming operation as a part of the current operation, and mixed with the error handling code. So it’s very hard to understand what on earth this code will do. And since Node.js utilizes non-blocking IO mode, we cannot invoke those operations one by one, as they will be executed concurrently. For example, in this post when I tried to copy the records from Windows Azure SQL Database (a.k.a. WASD) to Windows Azure Table Storage, if I just insert the data into table storage one by one and then print the “Finished” message, I will see the message shown before the data had been copied. This is because all operations were executed at the same time. In order to make the copy operation and print operation executed synchronously I introduced a module named “async” and the code was changed as below. 1: async.forEach(results.rows, 2: function (row, callback) { 3: var resource = { 4: "PartitionKey": row[1], 5: "RowKey": row[0], 6: "Value": row[2] 7: }; 8: client.insertEntity(tableName, resource, function (error) { 9: if (error) { 10: callback(error); 11: } 12: else { 13: console.log("entity inserted."); 14: callback(null); 15: } 16: }); 17: }, 18: function (error) { 19: if (error) { 20: error["target"] = "insertEntity"; 21: res.send(500, error); 22: } 23: else { 24: console.log("all done."); 25: res.send(200, "Done!"); 26: } 27: }); It ensured that the “Finished” message will be printed when all table entities had been inserted. But it cannot promise that the records will be inserted in sequence. It might be another challenge to make the code looks like in sync-style? 1: try 2: { 3: forEach(row in rows) { 4: var entity = { /* ... */ }; 5: tableClient.insert(tableName, entity); 6: } 7:  8: console.log("Finished"); 9: } 10: catch (ex) { 11: console.log(ex); 12: }   How “Wind” Helps “Wind” is a JavaScript library which provides the control flow with plain JavaScript for asynchronous programming (and more) without additional pre-compiling steps. It’s available in NPM so that we can install it through “npm install wind”. Now let’s create a very simple Node.js application as the example. This application will take some website URLs from the command arguments and tried to retrieve the body length and print them in console. Then at the end print “Finish”. I’m going to use “request” module to make the HTTP call simple so I also need to install by the command “npm install request”. The code would be like this. 1: var request = require("request"); 2:  3: // get the urls from arguments, the first two arguments are `node.exe` and `fetch.js` 4: var args = process.argv.splice(2); 5:  6: // main function 7: var main = function() { 8: for(var i = 0; i < args.length; i++) { 9: // get the url 10: var url = args[i]; 11: // send the http request and try to get the response and body 12: request(url, function(error, response, body) { 13: if(!error && response.statusCode == 200) { 14: // log the url and the body length 15: console.log( 16: "%s: %d.", 17: response.request.uri.href, 18: body.length); 19: } 20: else { 21: // log error 22: console.log(error); 23: } 24: }); 25: } 26: 27: // finished 28: console.log("Finished"); 29: }; 30:  31: // execute the main function 32: main(); Let’s execute this application. (I made them in multi-lines for better reading.) 1: node fetch.js 2: "http://www.igt.com/us-en.aspx" 3: "http://www.igt.com/us-en/games.aspx" 4: "http://www.igt.com/us-en/cabinets.aspx" 5: "http://www.igt.com/us-en/systems.aspx" 6: "http://www.igt.com/us-en/interactive.aspx" 7: "http://www.igt.com/us-en/social-gaming.aspx" 8: "http://www.igt.com/support.aspx" Below is the output. As you can see the finish message was printed at the beginning, and the pages’ length retrieved in a different order than we specified. This is because in this code the request command, console logging command are executed asynchronously and concurrently. Now let’s introduce “Wind” to make them executed in order, which means it will request the websites one by one, and print the message at the end.   First of all we need to import the “Wind” package and make sure the there’s only one global variant named “Wind”, and ensure it’s “Wind” instead of “wind”. 1: var Wind = require("wind");   Next, we need to tell “Wind” which code will be executed asynchronously so that “Wind” can control the execution process. In this case the “request” operation executed asynchronously so we will create a “Task” by using a build-in helps function in “Wind” named Wind.Async.Task.create. 1: var requestBodyLengthAsync = function(url) { 2: return Wind.Async.Task.create(function(t) { 3: request(url, function(error, response, body) { 4: if(error || response.statusCode != 200) { 5: t.complete("failure", error); 6: } 7: else { 8: var data = 9: { 10: uri: response.request.uri.href, 11: length: body.length 12: }; 13: t.complete("success", data); 14: } 15: }); 16: }); 17: }; The code above created a “Task” from the original request calling code. In “Wind” a “Task” means an operation will be finished in some time in the future. A “Task” can be started by invoke its start() method, but no one knows when it actually will be finished. The Wind.Async.Task.create helped us to create a task. The only parameter is a function where we can put the actual operation in, and then notify the task object it’s finished successfully or failed by using the complete() method. In the code above I invoked the request method. If it retrieved the response successfully I set the status of this task as “success” with the URL and body length. If it failed I set this task as “failure” and pass the error out.   Next, we will change the main() function. In “Wind” if we want a function can be controlled by Wind we need to mark it as “async”. This should be done by using the code below. 1: var main = eval(Wind.compile("async", function() { 2: })); When the application is running, Wind will detect “eval(Wind.compile(“async”, function” and generate an anonymous code from the body of this original function. Then the application will run the anonymous code instead of the original one. In our example the main function will be like this. 1: var main = eval(Wind.compile("async", function() { 2: for(var i = 0; i < args.length; i++) { 3: try 4: { 5: var result = $await(requestBodyLengthAsync(args[i])); 6: console.log( 7: "%s: %d.", 8: result.uri, 9: result.length); 10: } 11: catch (ex) { 12: console.log(ex); 13: } 14: } 15: 16: console.log("Finished"); 17: })); As you can see, when I tried to request the URL I use a new command named “$await”. It tells Wind, the operation next to $await will be executed asynchronously, and the main thread should be paused until it finished (or failed). So in this case, my application will be pause when the first response was received, and then print its body length, then try the next one. At the end, print the finish message.   Finally, execute the main function. The full code would be like this. 1: var request = require("request"); 2: var Wind = require("wind"); 3:  4: var args = process.argv.splice(2); 5:  6: var requestBodyLengthAsync = function(url) { 7: return Wind.Async.Task.create(function(t) { 8: request(url, function(error, response, body) { 9: if(error || response.statusCode != 200) { 10: t.complete("failure", error); 11: } 12: else { 13: var data = 14: { 15: uri: response.request.uri.href, 16: length: body.length 17: }; 18: t.complete("success", data); 19: } 20: }); 21: }); 22: }; 23:  24: var main = eval(Wind.compile("async", function() { 25: for(var i = 0; i < args.length; i++) { 26: try 27: { 28: var result = $await(requestBodyLengthAsync(args[i])); 29: console.log( 30: "%s: %d.", 31: result.uri, 32: result.length); 33: } 34: catch (ex) { 35: console.log(ex); 36: } 37: } 38: 39: console.log("Finished"); 40: })); 41:  42: main().start();   Run our new application. At the beginning we will see the compiled and generated code by Wind. Then we can see the pages were requested one by one, and at the end the finish message was printed. Below is the code Wind generated for us. As you can see the original code, the output code were shown. 1: // Original: 2: function () { 3: for(var i = 0; i < args.length; i++) { 4: try 5: { 6: var result = $await(requestBodyLengthAsync(args[i])); 7: console.log( 8: "%s: %d.", 9: result.uri, 10: result.length); 11: } 12: catch (ex) { 13: console.log(ex); 14: } 15: } 16: 17: console.log("Finished"); 18: } 19:  20: // Compiled: 21: /* async << function () { */ (function () { 22: var _builder_$0 = Wind.builders["async"]; 23: return _builder_$0.Start(this, 24: _builder_$0.Combine( 25: _builder_$0.Delay(function () { 26: /* var i = 0; */ var i = 0; 27: /* for ( */ return _builder_$0.For(function () { 28: /* ; i < args.length */ return i < args.length; 29: }, function () { 30: /* ; i ++) { */ i ++; 31: }, 32: /* try { */ _builder_$0.Try( 33: _builder_$0.Delay(function () { 34: /* var result = $await(requestBodyLengthAsync(args[i])); */ return _builder_$0.Bind(requestBodyLengthAsync(args[i]), function (result) { 35: /* console.log("%s: %d.", result.uri, result.length); */ console.log("%s: %d.", result.uri, result.length); 36: return _builder_$0.Normal(); 37: }); 38: }), 39: /* } catch (ex) { */ function (ex) { 40: /* console.log(ex); */ console.log(ex); 41: return _builder_$0.Normal(); 42: /* } */ }, 43: null 44: ) 45: /* } */ ); 46: }), 47: _builder_$0.Delay(function () { 48: /* console.log("Finished"); */ console.log("Finished"); 49: return _builder_$0.Normal(); 50: }) 51: ) 52: ); 53: /* } */ })   How Wind Works Someone may raise a big concern when you find I utilized “eval” in my code. Someone may assume that Wind utilizes “eval” to execute some code dynamically while “eval” is very low performance. But I would say, Wind does NOT use “eval” to run the code. It only use “eval” as a flag to know which code should be compiled at runtime. When the code was firstly been executed, Wind will check and find “eval(Wind.compile(“async”, function”. So that it knows this function should be compiled. Then it utilized parse-js to analyze the inner JavaScript and generated the anonymous code in memory. Then it rewrite the original code so that when the application was running it will use the anonymous one instead of the original one. Since the code generation was done at the beginning of the application was started, in the future no matter how long our application runs and how many times the async function was invoked, it will use the generated code, no need to generate again. So there’s no significant performance hurt when using Wind.   Wind in My Previous Demo Let’s adopt Wind into one of my previous demonstration and to see how it helps us to make our code simple, straightforward and easy to read and understand. In this post when I implemented the functionality that copied the records from my WASD to table storage, the logic would be like this. 1, Open database connection. 2, Execute a query to select all records from the table. 3, Recreate the table in Windows Azure table storage. 4, Create entities from each of the records retrieved previously, and then insert them into table storage. 5, Finally, show message as the HTTP response. But as the image below, since there are so many callbacks and async operations, it’s very hard to understand my logic from the code. Now let’s use Wind to rewrite our code. First of all, of course, we need the Wind package. Then we need to include the package files into project and mark them as “Copy always”. Add the Wind package into the source code. Pay attention to the variant name, you must use “Wind” instead of “wind”. 1: var express = require("express"); 2: var async = require("async"); 3: var sql = require("node-sqlserver"); 4: var azure = require("azure"); 5: var Wind = require("wind"); Now we need to create some async functions by using Wind. All async functions should be wrapped so that it can be controlled by Wind which are open database, retrieve records, recreate table (delete and create) and insert entity in table. Below are these new functions. All of them are created by using Wind.Async.Task.create. 1: sql.openAsync = function (connectionString) { 2: return Wind.Async.Task.create(function (t) { 3: sql.open(connectionString, function (error, conn) { 4: if (error) { 5: t.complete("failure", error); 6: } 7: else { 8: t.complete("success", conn); 9: } 10: }); 11: }); 12: }; 13:  14: sql.queryAsync = function (conn, query) { 15: return Wind.Async.Task.create(function (t) { 16: conn.queryRaw(query, function (error, results) { 17: if (error) { 18: t.complete("failure", error); 19: } 20: else { 21: t.complete("success", results); 22: } 23: }); 24: }); 25: }; 26:  27: azure.recreateTableAsync = function (tableName) { 28: return Wind.Async.Task.create(function (t) { 29: client.deleteTable(tableName, function (error, successful, response) { 30: console.log("delete table finished"); 31: client.createTableIfNotExists(tableName, function (error, successful, response) { 32: console.log("create table finished"); 33: if (error) { 34: t.complete("failure", error); 35: } 36: else { 37: t.complete("success", null); 38: } 39: }); 40: }); 41: }); 42: }; 43:  44: azure.insertEntityAsync = function (tableName, entity) { 45: return Wind.Async.Task.create(function (t) { 46: client.insertEntity(tableName, entity, function (error, entity, response) { 47: if (error) { 48: t.complete("failure", error); 49: } 50: else { 51: t.complete("success", null); 52: } 53: }); 54: }); 55: }; Then in order to use these functions we will create a new function which contains all steps for data copying. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: } 4: catch (ex) { 5: console.log(ex); 6: res.send(500, "Internal error."); 7: } 8: })); Let’s execute steps one by one with the “$await” keyword introduced by Wind so that it will be invoked in sequence. First is to open the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: } 7: catch (ex) { 8: console.log(ex); 9: res.send(500, "Internal error."); 10: } 11: })); Then retrieve all records from the database connection. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: } 10: catch (ex) { 11: console.log(ex); 12: res.send(500, "Internal error."); 13: } 14: })); After recreated the table, we need to create the entities and insert them into table storage. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: } 24: } 25: catch (ex) { 26: console.log(ex); 27: res.send(500, "Internal error."); 28: } 29: })); Finally, send response back to the browser. 1: var copyRecords = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage one by one 14: for (var i = 0; i < results.rows.length; i++) { 15: var entity = { 16: "PartitionKey": results.rows[i][1], 17: "RowKey": results.rows[i][0], 18: "Value": results.rows[i][2] 19: }; 20: $await(azure.insertEntityAsync(tableName, entity)); 21: console.log("entity inserted"); 22: } 23: // send response 24: console.log("all done"); 25: res.send(200, "All done!"); 26: } 27: } 28: catch (ex) { 29: console.log(ex); 30: res.send(500, "Internal error."); 31: } 32: })); If we compared with the previous code we will find now it became more readable and much easy to understand. It’s very easy to know what this function does even though without any comments. When user go to URL “/was/copyRecords” we will execute the function above. The code would be like this. 1: app.get("/was/copyRecords", function (req, res) { 2: copyRecords(req, res).start(); 3: }); And below is the logs printed in local compute emulator console. As we can see the functions executed one by one and then finally the response back to me browser.   Scaffold Functions in Wind Wind provides not only the async flow control and compile functions, but many scaffold methods as well. We can build our async code more easily by using them. I’m going to introduce some basic scaffold functions here. In the code above I created some functions which wrapped from the original async function such as open database, create table, etc.. All of them are very similar, created a task by using Wind.Async.Task.create, return error or result object through Task.complete function. In fact, Wind provides some functions for us to create task object from the original async functions. If the original async function only has a callback parameter, we can use Wind.Async.Binding.fromCallback method to get the task object directly. For example the code below returned the task object which wrapped the file exist check function. 1: var Wind = require("wind"); 2: var fs = require("fs"); 3:  4: fs.existsAsync = Wind.Async.Binding.fromCallback(fs.exists); In Node.js a very popular async function pattern is that, the first parameter in the callback function represent the error object, and the other parameters is the return values. In this case we can use another build-in function in Wind named Wind.Async.Binding.fromStandard. For example, the open database function can be created from the code below. 1: sql.openAsync = Wind.Async.Binding.fromStandard(sql.open); 2:  3: /* 4: sql.openAsync = function (connectionString) { 5: return Wind.Async.Task.create(function (t) { 6: sql.open(connectionString, function (error, conn) { 7: if (error) { 8: t.complete("failure", error); 9: } 10: else { 11: t.complete("success", conn); 12: } 13: }); 14: }); 15: }; 16: */ When I was testing the scaffold functions under Wind.Async.Binding I found for some functions, such as the Azure SDK insert entity function, cannot be processed correctly. So I personally suggest writing the wrapped method manually.   Another scaffold method in Wind is the parallel tasks coordination. In this example, the steps of open database, retrieve records and recreated table should be invoked one by one, but it can be executed in parallel when copying data from database to table storage. In Wind there’s a scaffold function named Task.whenAll which can be used here. Task.whenAll accepts a list of tasks and creates a new task. It will be returned only when all tasks had been completed, or any errors occurred. For example in the code below I used the Task.whenAll to make all copy operation executed at the same time. 1: var copyRecordsInParallel = eval(Wind.compile("async", function (req, res) { 2: try { 3: // connect to the windows azure sql database 4: var conn = $await(sql.openAsync(connectionString)); 5: console.log("connection opened"); 6: // retrieve all records from database 7: var results = $await(sql.queryAsync(conn, "SELECT * FROM [Resource]")); 8: console.log("records selected. count = %d", results.rows.length); 9: if (results.rows.length > 0) { 10: // recreate the table 11: $await(azure.recreateTableAsync(tableName)); 12: console.log("table created"); 13: // insert records in table storage in parallal 14: var tasks = new Array(results.rows.length); 15: for (var i = 0; i < results.rows.length; i++) { 16: var entity = { 17: "PartitionKey": results.rows[i][1], 18: "RowKey": results.rows[i][0], 19: "Value": results.rows[i][2] 20: }; 21: tasks[i] = azure.insertEntityAsync(tableName, entity); 22: } 23: $await(Wind.Async.Task.whenAll(tasks)); 24: // send response 25: console.log("all done"); 26: res.send(200, "All done!"); 27: } 28: } 29: catch (ex) { 30: console.log(ex); 31: res.send(500, "Internal error."); 32: } 33: })); 34:  35: app.get("/was/copyRecordsInParallel", function (req, res) { 36: copyRecordsInParallel(req, res).start(); 37: });   Besides the task creation and coordination, Wind supports the cancellation solution so that we can send the cancellation signal to the tasks. It also includes exception solution which means any exceptions will be reported to the caller function.   Summary In this post I introduced a Node.js module named Wind, which created by my friend Jeff Zhao. As you can see, different from other async library and framework, adopted the idea from F# and C#, Wind utilizes runtime code generation technology to make it more easily to write async, callback-based functions in a sync-style way. By using Wind there will be almost no callback, and the code will be very easy to understand. Currently Wind is still under developed and improved. There might be some problems but the author, Jeff, should be very happy and enthusiastic to learn your problems, feedback, suggestion and comments. You can contact Jeff by - Email: [email protected] - Group: https://groups.google.com/d/forum/windjs - GitHub: https://github.com/JeffreyZhao/wind/issues   Source code can be download here.   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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• Linux buffer cache effect on IO writes?

  - by Patrick LeBoutillier

  I'm copying large files (3 x 30G) between 2 filesystems on a Linux server (kernel 2.6.37, 16 cores, 32G RAM) and I'm getting poor performance. I suspect that the usage of the buffer cache is killing the I/O performance. To try and narrow down the problem I used fio directly on the SAS disk to monitor the performance. Here is the output of 2 fio runs (the first with direct=1, the second one direct=0): Config: [test] rw=write blocksize=32k size=20G filename=/dev/sda # direct=1 Run 1: test: (g=0): rw=write, bs=32K-32K/32K-32K, ioengine=sync, iodepth=1 Starting 1 process Jobs: 1 (f=1): [W] [100.0% done] [0K/205M /s] [0/6K iops] [eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=4667 write: io=20,480MB, bw=199MB/s, iops=6,381, runt=102698msec clat (usec): min=104, max=13,388, avg=152.06, stdev=72.43 bw (KB/s) : min=192448, max=213824, per=100.01%, avg=204232.82, stdev=4084.67 cpu : usr=3.37%, sys=16.55%, ctx=655410, majf=0, minf=29 IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0% submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% issued r/w: total=0/655360, short=0/0 lat (usec): 250=99.50%, 500=0.45%, 750=0.01%, 1000=0.01% lat (msec): 2=0.01%, 4=0.02%, 10=0.01%, 20=0.01% Run status group 0 (all jobs): WRITE: io=20,480MB, aggrb=199MB/s, minb=204MB/s, maxb=204MB/s, mint=102698msec, maxt=102698msec Disk stats (read/write): sda: ios=0/655238, merge=0/0, ticks=0/79552, in_queue=78640, util=76.55% Run 2: test: (g=0): rw=write, bs=32K-32K/32K-32K, ioengine=sync, iodepth=1 Starting 1 process Jobs: 1 (f=1): [W] [100.0% done] [0K/0K /s] [0/0 iops] [eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=4733 write: io=20,480MB, bw=91,265KB/s, iops=2,852, runt=229786msec clat (usec): min=16, max=127K, avg=349.53, stdev=4694.98 bw (KB/s) : min=56013, max=1390016, per=101.47%, avg=92607.31, stdev=167453.17 cpu : usr=0.41%, sys=6.93%, ctx=21128, majf=0, minf=33 IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0% submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% issued r/w: total=0/655360, short=0/0 lat (usec): 20=5.53%, 50=93.89%, 100=0.02%, 250=0.01%, 500=0.01% lat (msec): 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.12% lat (msec): 100=0.38%, 250=0.04% Run status group 0 (all jobs): WRITE: io=20,480MB, aggrb=91,265KB/s, minb=93,455KB/s, maxb=93,455KB/s, mint=229786msec, maxt=229786msec Disk stats (read/write): sda: ios=8/79811, merge=7/7721388, ticks=9/32418456, in_queue=32471983, util=98.98% I'm not knowledgeable enough with fio to interpret the results, but I don't expect the overall performance using the buffer cache to be 50% less than with O_DIRECT. Can someone help me interpret the fio output? Are there any kernel tunings that could fix/minimize the problem? Thanks a lot,

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• MySQL on Linux out of memory

  - by Sunrays

  OS: Redhat Enterprise Linux Server Release 5.3 (Tikanga) Architecture: Intel Xeon 64Bit MySQL Server 5.5.20 Enterprise Server advanced edition. Application: Liferay. My database size is 200MB. RAM is 64GB. The memory consumption increases gradually and we run out of memory. Then only rebooting releases all the memory, but then process of memory consumption starts again and reaches 63-64GB in less than a day. Parameters detail: key_buffer_size=16M innodb_buffer_pool_size=3GB inndb_buffer_pool_instances=3 max_connections=1000 innodb_flush_method=O_DIRECT innodb_change_buffering=inserts read_buffer_size=2M read_rnd_buffer_size=256K It's a serious production server issue that I am facing. What could be the reason behind this and how to resolve. This is the report of 2pm today, after Linux was rebooted yesterday @ around 10pm. Output of free -m total used free shared buffers cached Mem: 64455 22053 42402 0 1544 1164 -/+ buffers/cache: 19343 45112 Swap: 74998 0 74998 Output of vmstat 2 5 procs -----------memory---------- ---swap-- -----io---- --system-- -----cpu------ r b swpd free buff cache si so bi bo in cs us sy id wa st 0 0 0 43423976 1583700 1086616 0 0 1 173 22 27 1 1 98 0 0 2 0 0 43280200 1583712 1228636 0 0 0 146 1265 491 2 2 96 1 0 0 0 0 43421940 1583724 1087160 0 0 0 138 1469 738 2 1 97 0 0 1 0 0 43422604 1583728 1086736 0 0 0 5816 1615 934 1 1 97 0 0 0 0 0 43422372 1583732 1086752 0 0 0 2784 1323 545 2 1 97 0 0 Output of top -n 3 -b top - 14:16:22 up 16:32, 5 users, load average: 0.79, 0.77, 0.93 Tasks: 345 total, 1 running, 344 sleeping, 0 stopped, 0 zombie Cpu(s): 1.0%us, 0.9%sy, 0.0%ni, 98.1%id, 0.1%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 66002772k total, 22656292k used, 43346480k free, 1582152k buffers Swap: 76798724k total, 0k used, 76798724k free, 1163616k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 6434 mysql 15 0 4095m 841m 5500 S 113.5 1.3 426:53.69 mysqld 1 root 15 0 10344 680 572 S 0.0 0.0 0:03.09 init 2 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/0 3 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/0 4 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/0 5 root RT -5 0 0 0 S 0.0 0.0 0:00.01 migration/1 6 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/1 7 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/1 8 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/2 9 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/2 10 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/2 11 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/3 12 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/3 13 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/3 14 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/4 15 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/4 16 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/4 17 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/5 18 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/5 19 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/5 20 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/6 21 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/6 22 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/6 23 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/7 24 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/7 25 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/7 26 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/8 27 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/8 28 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/8 29 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/9 30 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/9 31 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/9 32 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/10 33 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/10 34 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/10 35 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/11 36 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/11 37 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/11 38 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/12 39 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/12 40 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/12 41 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/13 42 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/13 43 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/13 44 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/14 45 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/14 46 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/14 47 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/15 48 root 34 19 0 0 0 S 0.0 0.0 0:00.01 ksoftirqd/15 49 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/15 50 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/16 51 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/16 52 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/16 53 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/17 54 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/17 55 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/17 56 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/18 57 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/18 58 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/18 59 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/19 60 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/19 61 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/19 62 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/20 63 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/20 64 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/20 65 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/21 66 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/21 67 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/21 68 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/22 69 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/22 70 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/22 71 root RT -5 0 0 0 S 0.0 0.0 0:00.00 migration/23 72 root 34 19 0 0 0 S 0.0 0.0 0:00.00 ksoftirqd/23 73 root RT -5 0 0 0 S 0.0 0.0 0:00.00 watchdog/23 74 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 events/0 75 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/1 76 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/2 77 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/3 78 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/4 79 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/5 80 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/6 81 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/7 82 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/8 83 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/9 84 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/10 85 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/11 86 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 events/12 87 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/13 88 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/14 89 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/15 90 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/16 91 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/17 92 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/18 93 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/19 94 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/20 95 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/21 96 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/22 97 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 events/23 98 root 10 -5 0 0 0 S 0.0 0.0 0:00.01 khelper 615 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kthread 643 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/0 644 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/1 645 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/2 646 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/3 647 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/4 648 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/5 649 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/6 650 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/7 651 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/8 652 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/9 653 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/10 654 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/11 655 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/12 656 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/13 657 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/14 658 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/15 659 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/16 660 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/17 661 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/18 662 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/19 663 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/20 664 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/21 665 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/22 666 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kblockd/23 667 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kacpid 840 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/0 841 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/1 842 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/2 843 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/3 844 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/4 845 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/5 846 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/6 847 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/7 848 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/8 849 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/9 850 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/10 851 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/11 852 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/12 853 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/13 854 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/14 855 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/15 856 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/16 857 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/17 858 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/18 859 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/19 860 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/20 861 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/21 862 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/22 863 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 cqueue/23 866 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 khubd 868 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kseriod 1118 root 23 0 0 0 0 S 0.0 0.0 0:00.00 pdflush 1119 root 15 0 0 0 0 S 0.0 0.0 0:00.11 pdflush 1120 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd0 1121 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kswapd1 1122 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/0 1123 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/1 1124 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 aio/2 1125 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/3 1126 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/4 1127 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/5 1128 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/6 1129 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/7 1130 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/8 1131 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/9 1132 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/10 1133 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/11 1134 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/12 1135 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/13 1136 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/14 1137 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/15 1138 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/16 1139 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/17 1140 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/18 1141 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/19 1142 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/20 1143 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/21 1144 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/22 1145 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 aio/23 1308 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kpsmoused 1566 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/0 1567 root 10 -5 0 0 0 S 0.0 0.0 0:00.27 ata/1 1568 root 10 -5 0 0 0 S 0.0 0.0 0:02.39 ata/2 1569 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/3 1570 root 10 -5 0 0 0 S 0.0 0.0 0:00.72 ata/4 1571 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/5 1572 root 10 -5 0 0 0 S 0.0 0.0 0:00.15 ata/6 1573 root 10 -5 0 0 0 S 0.0 0.0 0:00.07 ata/7 1574 root 10 -5 0 0 0 S 0.0 0.0 0:00.06 ata/8 1575 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/9 1576 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/10 1577 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/11 1578 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/12 1579 root 10 -5 0 0 0 S 0.0 0.0 0:00.14 ata/13 1580 root 10 -5 0 0 0 S 0.0 0.0 0:01.56 ata/14 1581 root 10 -5 0 0 0 S 0.0 0.0 0:00.04 ata/15 1582 root 10 -5 0 0 0 S 0.0 0.0 0:00.40 ata/16 1583 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/17 1584 root 10 -5 0 0 0 S 0.0 0.0 0:00.11 ata/18 1585 root 10 -5 0 0 0 S 0.0 0.0 0:00.03 ata/19 1586 root 10 -5 0 0 0 S 0.0 0.0 0:00.02 ata/20 1587 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/21 1588 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/22 1589 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 ata/23 1590 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 ata_aux 1616 root 10 -5 0 0 0 S 0.0 0.0 0:17.20 scsi_eh_0 1617 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_1 1668 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_2 1669 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_2_dpc 1670 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_2 1671 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_2 1672 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_2 1673 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_eh_3 1674 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 qla2xxx_3_dpc 1675 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 scsi_wq_3 1676 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 fc_wq_3 1677 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 fc_dl_3 1728 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 kstriped 1829 root 10 -5 0 0 0 S 0.0 0.0 1:09.14 kjournald 1857 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kauditd 1891 root 11 -4 13008 1188 388 S 0.0 0.0 0:00.40 udevd 4555 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/0 4556 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/1 4557 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/2 4558 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/3 4559 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/4 4560 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/5 4561 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/6 4562 root 17 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/7 4563 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/8 4564 root 19 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/9 4565 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/10 4566 root 20 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/11 4567 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/12 4568 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/13 4569 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/14 4570 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/15 4571 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/16 4572 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/17 4573 root 14 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/18 4574 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/19 4575 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/20 4576 root 15 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/21 4577 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/22 4578 root 16 -5 0 0 0 S 0.0 0.0 0:00.00 kmpathd/23 4579 root 18 -5 0 0 0 S 0.0 0.0 0:00.00 kmpath_handlerd 4734 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 4736 root 10 -5 0 0 0 S 0.0 0.0 0:04.82 kjournald 4744 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 kjournald 5238 root RT 0 87584 3648 2768 S 0.0 0.0 0:03.60 multipathd 5537 root 11 -4 27328 812 580 S 0.0 0.0 0:00.14 auditd 5539 root 7 -8 81804 768 616 S 0.0 0.0 0:00.04 audispd 5564 root 15 0 5904 632 512 S 0.0 0.0 0:00.10 syslogd 5567 root 15 0 3800 432 344 S 0.0 0.0 0:00.01 klogd 5579 root 18 0 10728 384 244 S 0.0 0.0 0:00.42 irqbalance 5592 rpc 18 0 8048 584 464 S 0.0 0.0 0:00.00 portmap 5625 root 18 0 11032 768 632 S 0.0 0.0 0:00.00 rpc.statd 5681 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/0 5682 root 11 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/1 5683 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/2 5684 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/3 5685 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/4 5686 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/5 5687 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/6 5688 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/7 5689 root 10 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/8 5690 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/9 5691 root 12 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/10 5692 root 13 -5 0 0 0 S 0.0 0.0 0:00.00 rpciod/11

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• Linux buffer cache effect on IO writes?

  - by Patrick LeBoutillier

  Hi, I'm copying large files (3 x 30G) between 2 filesystems on a Linux server (kernel 2.6.37, 16 cores, 32G RAM) and I'm getting poor performance. I suspect that the usage of the buffer cache is killing the I/O performance. To try and narrow down the problem I used fio directly on the SAS disk to monitor the performance. Here is the output of 2 fio runs (the first with direct=1, the second one direct=0): Config: [test] rw=write blocksize=32k size=20G filename=/dev/sda # direct=1 Run 1: test: (g=0): rw=write, bs=32K-32K/32K-32K, ioengine=sync, iodepth=1 Starting 1 process Jobs: 1 (f=1): [W] [100.0% done] [0K/205M /s] [0/6K iops] [eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=4667 write: io=20,480MB, bw=199MB/s, iops=6,381, runt=102698msec clat (usec): min=104, max=13,388, avg=152.06, stdev=72.43 bw (KB/s) : min=192448, max=213824, per=100.01%, avg=204232.82, stdev=4084.67 cpu : usr=3.37%, sys=16.55%, ctx=655410, majf=0, minf=29 IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0% submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% issued r/w: total=0/655360, short=0/0 lat (usec): 250=99.50%, 500=0.45%, 750=0.01%, 1000=0.01% lat (msec): 2=0.01%, 4=0.02%, 10=0.01%, 20=0.01% Run status group 0 (all jobs): WRITE: io=20,480MB, aggrb=199MB/s, minb=204MB/s, maxb=204MB/s, mint=102698msec, maxt=102698msec Disk stats (read/write): sda: ios=0/655238, merge=0/0, ticks=0/79552, in_queue=78640, util=76.55% Run 2: test: (g=0): rw=write, bs=32K-32K/32K-32K, ioengine=sync, iodepth=1 Starting 1 process Jobs: 1 (f=1): [W] [100.0% done] [0K/0K /s] [0/0 iops] [eta 00m:00s] test: (groupid=0, jobs=1): err= 0: pid=4733 write: io=20,480MB, bw=91,265KB/s, iops=2,852, runt=229786msec clat (usec): min=16, max=127K, avg=349.53, stdev=4694.98 bw (KB/s) : min=56013, max=1390016, per=101.47%, avg=92607.31, stdev=167453.17 cpu : usr=0.41%, sys=6.93%, ctx=21128, majf=0, minf=33 IO depths : 1=100.0%, 2=0.0%, 4=0.0%, 8=0.0%, 16=0.0%, 32=0.0%, >=64=0.0% submit : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% complete : 0=0.0%, 4=100.0%, 8=0.0%, 16=0.0%, 32=0.0%, 64=0.0%, >=64=0.0% issued r/w: total=0/655360, short=0/0 lat (usec): 20=5.53%, 50=93.89%, 100=0.02%, 250=0.01%, 500=0.01% lat (msec): 2=0.01%, 4=0.01%, 10=0.01%, 20=0.01%, 50=0.12% lat (msec): 100=0.38%, 250=0.04% Run status group 0 (all jobs): WRITE: io=20,480MB, aggrb=91,265KB/s, minb=93,455KB/s, maxb=93,455KB/s, mint=229786msec, maxt=229786msec Disk stats (read/write): sda: ios=8/79811, merge=7/7721388, ticks=9/32418456, in_queue=32471983, util=98.98% I'm not knowledgeable enough with fio to interpret the results, but I don't expect the overall performance using the buffer cache to be 50% less than with O_DIRECT. Can someone help me interpret the fio output? Are there any kernel tunings that could fix/minimize the problem? Thanks a lot,

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• RFC 1918 address on open internet?

  - by longneck

  In trying to diagnose a failover problem with my Cisco ASA 5520 firewalls, I ran a traceroute to www.btfl.com and, much to my surprise, some of the hops came back as RFC 1918 addresses. Just to be clear, this host is not behind my firewall and there is no VPN involved. I have to connect across the open internet to get there. How/why is this possible? asa# traceroute www.btfl.com Tracing the route to 157.56.176.94 1 <redacted> 2 <redacted> 3 <redacted> 4 <redacted> 5 nap-edge-04.inet.qwest.net (67.14.29.170) 0 msec 10 msec 10 msec 6 65.122.166.30 0 msec 0 msec 10 msec 7 207.46.34.23 10 msec 0 msec 10 msec 8 * * * 9 207.46.37.235 30 msec 30 msec 50 msec 10 10.22.112.221 30 msec 10.22.112.219 30 msec 10.22.112.223 30 msec 11 10.175.9.193 30 msec 30 msec 10.175.9.67 30 msec 12 100.94.68.79 40 msec 100.94.70.79 30 msec 100.94.71.73 30 msec 13 100.94.80.39 30 msec 100.94.80.205 40 msec 100.94.80.137 40 msec 14 10.215.80.2 30 msec 10.215.68.16 30 msec 10.175.244.2 30 msec 15 * * * 16 * * * 17 * * * and it does the same thing from my FiOS connection at home: C:\>tracert www.btfl.com Tracing route to www.btfl.com [157.56.176.94] over a maximum of 30 hops: 1 1 ms <1 ms <1 ms myrouter.home [192.168.1.1] 2 8 ms 7 ms 8 ms <redacted> 3 10 ms 13 ms 11 ms <redacted> 4 12 ms 10 ms 10 ms ae2-0.TPA01-BB-RTR2.verizon-gni.net [130.81.199.82] 5 16 ms 16 ms 15 ms 0.ae4.XL2.MIA19.ALTER.NET [152.63.8.117] 6 14 ms 16 ms 16 ms 0.xe-11-0-0.GW1.MIA19.ALTER.NET [152.63.85.94] 7 19 ms 16 ms 16 ms microsoft-gw.customer.alter.net [63.65.188.170] 8 27 ms 33 ms * ge-5-3-0-0.ash-64cb-1a.ntwk.msn.net [207.46.46.177] 9 * * * Request timed out. 10 44 ms 43 ms 43 ms 207.46.37.235 11 42 ms 41 ms 40 ms 10.22.112.225 12 42 ms 43 ms 43 ms 10.175.9.1 13 42 ms 41 ms 42 ms 100.94.68.79 14 40 ms 40 ms 41 ms 100.94.80.193 15 * * * Request timed out.

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• Opscenter repair service times out. ERROR: Requested range intersects a local range [...]

  - by jlemire-zs

  My production cluster had the repair service enabled since april 16th with the default 9 days time to completion and repairs would complete properly. However, since may 22nd, it is being disabled automatically by Opscenter: From /var/log/opscenter/opscenterd.log: [...] 2014-06-03 21:13:47-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4019838962446882275L, -4006140687792135587L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: More than 100 errors during repair service, shutting down repair service 2014-06-03 22:16:44-0400 [zs_prod] INFO: Stopping repair service [...] From /var/log/opscenter/repair_service/zs_prod.log: [...] 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Repair task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) timed out after 3600 seconds. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: Task (<Node 10.1.0.22='6417880425364517165'>, (-4006140687792135587L, -4006140687792135586L), set(['zs_logging', 'OpsCenter'])) has failed 1 times. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: 101 errors have ocurred out of 100 allowed. 2014-06-03 22:16:44-0400 [zs_prod] ERROR: More than 100 errors during repair service, shutting down repair service 2014-06-03 22:16:44-0400 [zs_prod] INFO: Stopping repair service On the nodes on which the repair fails, from /var/log/cassandra/system.log: ERROR [RMI TCP Connection(93502)-10.1.0.22] 2014-06-03 20:12:28,858 StorageService.java (line 2560) Repair session failed: java.lang.IllegalArgumentException: Requested range intersects a local range but is not fully contained in one; this would lead to i mprecise repair at org.apache.cassandra.service.ActiveRepairService.getNeighbors(ActiveRepairService.java:164) at org.apache.cassandra.repair.RepairSession.<init>(RepairSession.java:128) at org.apache.cassandra.repair.RepairSession.<init>(RepairSession.java:117) at org.apache.cassandra.service.ActiveRepairService.submitRepairSession(ActiveRepairService.java:97) at org.apache.cassandra.service.StorageService.forceKeyspaceRepair(StorageService.java:2620) at org.apache.cassandra.service.StorageService$5.runMayThrow(StorageService.java:2556) at org.apache.cassandra.utils.WrappedRunnable.run(WrappedRunnable.java:28) These errors, which only occurs if the repair service is running, are the only errors these nodes experience. Outside of the repair task, the Cassandra cluster works perfectly. I am running Opscenter 4.1.2 with a 6 nodes DSE 4.0.2 cluster installed on linux virtual machines. The nodes run a vanilla installation of Ubuntu Server 12.04 64-bit and DSE was installed and secured according to the provided installation documentation. I have been experiencing that problem on my development cluster for a while too (with DSE 4.0.0, 4.0.1 and 4.0.2), but I thought this was because of some configuration error on my part. The problem has appeared spontaneously at some point too. The Cassandra cluster has been working very smoothly with a good write throughput. It is very stable and has enough resources to work with. We did not notice any problems with the applications that depend on it.

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• MySQL hangs if connection comes from outside the LAN

  - by Subito

  I have a MySQL Server operating just fine if I access him from his local LAN (192.168.100.0/24). If I try to access hin from another LAN (192.168.113.0/24 in this case) it hangs for a really long time before delivering the result. SHOW PROCESSLIST; shows this process in Sleep, State empty. If I strace -p this process I get the following Output (23512 is the PID of the corresponding mysqld process): Process 23512 attached - interrupt to quit restart_syscall(<... resuming interrupted call ...>) = 1 fcntl(10, F_GETFL) = 0x2 (flags O_RDWR) fcntl(10, F_SETFL, O_RDWR|O_NONBLOCK) = 0 accept(10, {sa_family=AF_INET, sin_port=htons(51696), sin_addr=inet_addr("192.168.113.4")}, [16]) = 33 fcntl(10, F_SETFL, O_RDWR) = 0 rt_sigaction(SIGCHLD, {SIG_DFL, [CHLD], SA_RESTORER|SA_RESTART, 0x7f9ce7ca34f0}, {SIG_DFL, [CHLD], SA_RESTORER|SA_RESTART, 0x7f9ce7ca34f0}, ) = 0 getpeername(33, {sa_family=AF_INET, sin_port=htons(51696), sin_addr=inet_addr("192.168.113.4")}, [16]) = 0 getsockname(33, {sa_family=AF_INET, sin_port=htons(3306), sin_addr=inet_addr("192.168.100.190")}, [16]) = 0 open("/etc/hosts.allow", O_RDONLY) = 64 fstat(64, {st_mode=S_IFREG|0644, st_size=580, ...}) = 0 mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f9ce9839000 read(64, "# /etc/hosts.allow: list of host"..., 4096) = 580 read(64, "", 4096) = 0 close(64) = 0 munmap(0x7f9ce9839000, 4096) = 0 open("/etc/hosts.deny", O_RDONLY) = 64 fstat(64, {st_mode=S_IFREG|0644, st_size=880, ...}) = 0 mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f9ce9839000 read(64, "# /etc/hosts.deny: list of hosts"..., 4096) = 880 read(64, "", 4096) = 0 close(64) = 0 munmap(0x7f9ce9839000, 4096) = 0 getsockname(33, {sa_family=AF_INET, sin_port=htons(3306), sin_addr=inet_addr("192.168.100.190")}, [16]) = 0 fcntl(33, F_SETFL, O_RDONLY) = 0 fcntl(33, F_GETFL) = 0x2 (flags O_RDWR) setsockopt(33, SOL_SOCKET, SO_RCVTIMEO, "\36\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0", 16) = 0 setsockopt(33, SOL_SOCKET, SO_SNDTIMEO, "<\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0", 16) = 0 fcntl(33, F_SETFL, O_RDWR|O_NONBLOCK) = 0 setsockopt(33, SOL_IP, IP_TOS, [8], 4) = 0 setsockopt(33, SOL_TCP, TCP_NODELAY, [1], 4) = 0 futex(0x7f9cea5c9564, FUTEX_WAKE_OP_PRIVATE, 1, 1, 0x7f9cea5c9560, {FUTEX_OP_SET, 0, FUTEX_OP_CMP_GT, 1}) = 1 futex(0x7f9cea5c6fe0, FUTEX_WAKE_PRIVATE, 1) = 1 poll([{fd=10, events=POLLIN}, {fd=12, events=POLLIN}], 2, -1) = 1 ([{fd=10, revents=POLLIN}]) fcntl(10, F_GETFL) = 0x2 (flags O_RDWR) fcntl(10, F_SETFL, O_RDWR|O_NONBLOCK) = 0 accept(10, {sa_family=AF_INET, sin_port=htons(51697), sin_addr=inet_addr("192.168.113.4")}, [16]) = 31 fcntl(10, F_SETFL, O_RDWR) = 0 rt_sigaction(SIGCHLD, {SIG_DFL, [CHLD], SA_RESTORER|SA_RESTART, 0x7f9ce7ca34f0}, {SIG_DFL, [CHLD], SA_RESTORER|SA_RESTART, 0x7f9ce7ca34f0}, ) = 0 getpeername(31, {sa_family=AF_INET, sin_port=htons(51697), sin_addr=inet_addr("192.168.113.4")}, [16]) = 0 getsockname(31, {sa_family=AF_INET, sin_port=htons(3306), sin_addr=inet_addr("192.168.100.190")}, [16]) = 0 open("/etc/hosts.allow", O_RDONLY) = 33 fstat(33, {st_mode=S_IFREG|0644, st_size=580, ...}) = 0 mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f9ce9839000 read(33, "# /etc/hosts.allow: list of host"..., 4096) = 580 read(33, "", 4096) = 0 close(33) = 0 munmap(0x7f9ce9839000, 4096) = 0 open("/etc/hosts.deny", O_RDONLY) = 33 fstat(33, {st_mode=S_IFREG|0644, st_size=880, ...}) = 0 mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f9ce9839000 read(33, "# /etc/hosts.deny: list of hosts"..., 4096) = 880 read(33, "", 4096) = 0 close(33) = 0 munmap(0x7f9ce9839000, 4096) = 0 getsockname(31, {sa_family=AF_INET, sin_port=htons(3306), sin_addr=inet_addr("192.168.100.190")}, [16]) = 0 fcntl(31, F_SETFL, O_RDONLY) = 0 fcntl(31, F_GETFL) = 0x2 (flags O_RDWR) setsockopt(31, SOL_SOCKET, SO_RCVTIMEO, "\36\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0", 16) = 0 setsockopt(31, SOL_SOCKET, SO_SNDTIMEO, "<\0\0\0\0\0\0\0\0\0\0\0\0\0\0\0", 16) = 0 fcntl(31, F_SETFL, O_RDWR|O_NONBLOCK) = 0 setsockopt(31, SOL_IP, IP_TOS, [8], 4) = 0 setsockopt(31, SOL_TCP, TCP_NODELAY, [1], 4) = 0 futex(0x7f9cea5c9564, FUTEX_WAKE_OP_PRIVATE, 1, 1, 0x7f9cea5c9560, {FUTEX_OP_SET, 0, FUTEX_OP_CMP_GT, 1}) = 1 futex(0x7f9cea5c6fe0, FUTEX_WAKE_PRIVATE, 1) = 1 poll([{fd=10, events=POLLIN}, {fd=12, events=POLLIN}], 2, -1^C <unfinished ...> Process 23512 detached This output repeats itself until the answer gets send. It could take up to 15 Minutes until the request gets served. In the local LAN its a matter of Milliseconds. Why is this and how can I debug this further? [Edit] tcpdump shows a ton of this: 14:49:44.103107 IP cassandra-test.mysql > 192.168.X.6.64626: Flags [S.], seq 1434117703, ack 1793610733, win 14600, options [mss 1460,nop,nop,sackOK,nop,wscale 7], length 0 14:49:44.135187 IP 192.168.X.6.64625 > cassandra-test.mysql: Flags [P.], seq 106:145, ack 182, win 4345, length 39 14:49:44.135293 IP cassandra-test.mysql > 192.168.X.6.64625: Flags [P.], seq 182:293, ack 145, win 115, length 111 14:49:44.167025 IP 192.168.X.6.64624 > cassandra-test.mysql: Flags [.], ack 444, win 4280, length 0 14:49:44.168933 IP 192.168.X.6.64626 > cassandra-test.mysql: Flags [.], ack 1, win 4390, length 0 14:49:44.169088 IP cassandra-test.mysql > 192.168.X.6.64626: Flags [P.], seq 1:89, ack 1, win 115, length 88 14:49:44.169672 IP 192.168.X.6.64625 > cassandra-test.mysql: Flags [P.], seq 145:171, ack 293, win 4317, length 26 14:49:44.169726 IP cassandra-test.mysql > 192.168.X.6.64625: Flags [P.], seq 293:419, ack 171, win 115, length 126 14:49:44.275111 IP 192.168.X.6.64626 > cassandra-test.mysql: Flags [P.], seq 1:74, ack 89, win 4368, length 73 14:49:44.275131 IP cassandra-test.mysql > 192.168.X.6.64626: Flags [.], ack 74, win 115, length 0 14:49:44.275149 IP 192.168.X.6.64625 > cassandra-test.mysql: Flags [P.], seq 171:180, ack 419, win 4286, length 9 14:49:44.275189 IP cassandra-test.mysql > 192.168.X.6.64626: Flags [P.], seq 89:100, ack 74, win 115, length 11 14:49:44.275264 IP 192.168.X.6.64625 > cassandra-test.mysql: Flags [P.], seq 180:185, ack 419, win 4286, length 5 14:49:44.275281 IP cassandra-test.mysql > 192.168.X.6.64625: Flags [.], ack 185, win 115, length 0 14:49:44.275295 IP cassandra-test.mysql > 192.168.X.6.64625: Flags [F.], seq 419, ack 185, win 115, length 0 14:49:44.275650 IP 192.168.X.6.64625 > cassandra-test.mysql: Flags [F.], seq 185, ack 419, win 4286, length 0 14:49:44.275660 IP cassandra-test.mysql > 192.168.X.6.64625: Flags [.], ack 186, win 115, length 0 14:49:44.275910 IP 192.168.X.6.64627 > cassandra-test.mysql: Flags [S], seq 2336421549, win 8192, options [mss 1351,nop,wscale 2,nop,nop,sackOK], length 0 14:49:44.275921 IP cassandra-test.mysql > 192.168.X.6.64627: Flags [S.], seq 3289359778, ack 2336421550, win 14600, options [mss 1460,nop,nop,sackOK,nop,wscale 7], length 0

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• Does VLC Player work well on Windows 7 64-bit?

  - by ????

  I tried VLC Player on Windows 7 64-bit version and the playback was fine, but when the video is maximized the image is very pixelated. I tried this on a Radeon HD 2600 XT graphics card as well as a computer with an Intel graphics chipset and both have the same result. If I use VLC Player on Windows 7 32-bit instead of 64-bit, there is no pixelation. Is this a known problem or is there any method to fix it on Windows 7 64-bit? Update: there isn't a 32-bit vs 64-bit version of VLC player, is there? (unlike 7-Zip) I also tried GOM Player and it doesn't have the problem on Windows 7 64-bit. Update: Nov 4, 2009 VLC displays an update notice: VLC 1.0.3 is a minor release fixing many bugs, especially for Windows Vista and 7, but it also introduces 2 new modes for deinterlacing, and a new udev module. Major fixes are about WMA Pro support, Dolby tracks in 4.0, v4l/v4l2 and atsc and a crash in mjpeg demuxer. Update of translations are also part of this release.

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• I've built a Windows service as "Any CPU". Why does it run in 32-bit mode on my 64 bit machine?

  - by Mark

  I've built a Windows service as "Any CPU". However, when I run it on my 64 bit machine it runs in 32 bit. How can I fix it? I'm using .NET and C#, and my operating system is Windows 2008 R2. If I build it in x64 it correctly loads in 64 bit mode. However, "Any Cpu" -- which is what I want -- loads in 32 bit, even though the machine it's running on perfectly supports 64 bit. Thanks for any help.

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• How is the RIP loaded when an interrupt arrives in an IA-32e 64-bit IDT Gate Descriptor?

  - by Vern

  I need some help with the programming of an IA-32e Interrupt Descriptor as I'm pretty new to it. I don't think I quite understand how the RIP is loaded when an Interrupt arrives. There is a Segment Selector in Intel's 64-bit IDT Gate Descriptor. However, from my understanding across the 5 part Intel manuals, the Linear Address of the Interrupt Handler is loaded into RIP from the 64-bit offset specified in the IDT Gate Descriptor. The only use of the segment selector is to check: if there is a change in privilege levels the Interrupt Handler is truly pointing to a code segment My questions are: Is RIP taken from the 64-bit offset only? Or is RIP = offset(sign extended to 64-bits) + segment selector base? Is the base address pointed to by the segment selector in the IDT Gate Descriptor ignored? Or does it have a use?

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• Efficient way to manipulate large powers of two

  - by bguiz

  The most efficient way to code powers of two is by bit shifting of integers. 1 << n gives me 2^(n-1) However, if I have a number that is larger than the largest value allowed in an int, what can I use to efficiently manipulate powers of 2?

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• Can this way of storing typed objects be improved?

  - by Pindatjuh

  This is an "can it be improved"-question. Topic: Storing typed objects in memory. Background information: I'm building a compiler for the x86-32 Windows platform for my language. My goal includes typed objects. Idea: Every primitive is a semi-class (it can be used as if it was a normal class, but it's stored more compact). Every class is represented by primitives and some meta-data (containing class-properties, inheritance stuff, etc.). The meta-data is complex: it doesn't use fields but instead context-switches. For primitives, the meta-data is very small, compared to a "real" class, which is alot bigger. This enables another idea that "primitives are objects", in my language, which I found nessecairy. Example: If I have an array of 32 booleans, then the pure content of this array is exactly 4 byte (32 bits of booleans). The meta-data will contain flags that the type is an array of booleans, which contains 32 entries. The meta-data is very compacted, on bit-level: using a sort of "packing" mechanism, which is read by a FSM at runtime, when doing inspection of the type (like when passing the object to methods for checking, etc.) For instance (read from left to right, top to bottom, remember vertical position when going to the right, and check nearest column header for meaning of switch): Primitive? Array? Type-Meta 1 Byte? || Size (1 byte) 1 1 [...] 1 [...] done 0 2 Bytes? || Size (2 bytes) 1 [...] done || Size (4 bytes) 0 [...] done Integer? 1 Byte? 2 Bytes? 0 1 0 1 done 1 done 0 done Boolean? Byte? 0 1 0 done 1 done More-Primitives 0 .... Class-Stuff (Huge) 0 ... (After reaching done the data is inserted. || = byte alignment. [...] is variable sized. ... is not described here, for simplicity. And let's call them cost-based-data-structures.) For an array of 32 booleans containing all true values, the memory for this type would be (read top-down): 1 Primitive 1 Array 1 ArrayType: Primitive 0 Not-Array 0 Not-Integer 1 Boolean 0 Not-Byte (thus bit) 1 Integer Size: 1 Byte 00100000 Array size 01010101 01010101 01010101 01010101 Data (user defined) Thus, 8 bytes represent 32 booleans in an array: 11100101 00100000 01010101 01010101 01010101 01010101 How can I improve this? (Both performance- and memory-consumption wise)

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