Search Results

Search found 13356 results on 535 pages for 'index buffers'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 219/535 | < Previous Page | 215 216 217 218 219 220 221 222 223 224 225 226  | Next Page >

  • SQL SERVER – Tricks to Replace SELECT * with Column Names – SQL in Sixty Seconds #017 – Video

    - by pinaldave
    You might have heard many times that one should not use SELECT * as there are many disadvantages to the usage of the SELECT *. I also believe that there are always rare occasion when we need every single column of the query. In most of the cases, we only need a few columns of the query and we should retrieve only those columns. SELECT * has many disadvantages. Let me list a few and remaining you can add as a comment.  Retrieves unnecessary columns and increases network traffic When a new columns are added views needs to be refreshed manually Leads to usage of sub-optimal execution plan Uses clustered index in most of the cases instead of using optimal index It is difficult to debug. There are two quick tricks I have discussed in the video which explains how users can avoid using SELECT * but instead list the column names. 1) Drag the columns folder from SQL Server Management Studio to Query Editor 2) Right Click on Table Name >> Script TAble AS >> SELECT To… >> Select option It is extremely easy to list the column names in the table. In today’s sixty seconds video, you will notice that I was able to demonstrate both the methods very quickly. From now onwards there should be no excuse for not listing ColumnName. Let me ask a question back – is there ever a reason to SELECT *? If yes, would you please share that as a comment. More on SELECT *: SQL SERVER – Solution – Puzzle – SELECT * vs SELECT COUNT(*) SQL SERVER – Puzzle – SELECT * vs SELECT COUNT(*) SQL SERVER – SELECT vs. SET Performance Comparison I encourage you to submit your ideas for SQL in Sixty Seconds. We will try to accommodate as many as we can. If we like your idea we promise to share with you educational material. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Database, Pinal Dave, PostADay, SQL, SQL Authority, SQL in Sixty Seconds, SQL Query, SQL Scripts, SQL Server, SQL Server Management Studio, SQL Tips and Tricks, T SQL, Technology, Video

    Read the article

  • Four Great Ways to Speed Up Your Website Speed

    As a webpage developer, you should already notice that page loading time is becoming more and more important than ever before. It is quite usual that visitors will not turn away from your webpage if it cost them more than half a minute to get access to your website. What's more, the faster your pages load, the more likely the search engines will be index deeper into your websites pages and give your website a better search engine ranking.

    Read the article

  • Site Search Engine for 1,000 page website

    - by Ian
    I manage a website with about 1,000 articles that need to be searchable by my members. The site search engines I've tried all had their own problems: Fluid Dynamics Search Engine Since it's written in perl, it was a bit hacky to integrate with my PHP-based CMS. I basically had to file_get_contents the search results page. However, FDSE had the best search results. Google CSE Ugh, the search results SUCK. It can't find documents even using unique strings. I'm so surprised that a Google search product is this bad. Nor can I get any answers on their 'help' forums, and I am a paying user. Boo, Google. Boo. Sphider Again, bad search results. Unable to locate some phrases used in link text. Better results than Google CSE though. Shame on Google that a free PHP script has better search results than their paid application. IndexTank This one looked really promising. I got all set up with their PHP API client. But it would only randomly add articles that I submitted. Out of 700+ articles I pushed to the index through their API, only 8 made it in. Unable to find any help on this subject. Update for IndexTank -- Got the above issue fixed, so this looks most promising so far. The site itself runs on php/mysql and FreeBSD, though this shouldn't matter for a web crawling indexer. I've looked at Lucene, but I don't know anything about Java or installing Java programs on my web server. I also do not have root access on my web server, if this would be required for installation. I really don't need a lot of fancy features. It just needs to be able to crawl my web site and return great (even decent!) search results. I don't need any crazy search operators. It doesn't need to index off my primary domain. It just needs to work! Thanks, Hive Mind!

    Read the article

  • Checking detailed memory information on Linux

    - by user35153
    I know that I can check CPU info via cat /proc/cpuinfo and memory info via cat /proc/meminfo. But cat /proc/meminfo yields results like the following: MemTotal: 66098352 kB MemFree: 329152 kB Buffers: 632432 kB Cached: 62619692 kB SwapCached: 0 kB Active: 6425444 kB Inactive: 58717276 kB SwapTotal: 1951888 kB SwapFree: 1951796 kB Dirty: 38416 kB Writeback: 0 kB AnonPages: 1890268 kB Mapped: 12624 kB Slab: 464580 kB SReclaimable: 275812 kB SUnreclaim: 188768 kB PageTables: 7524 kB NFS_Unstable: 0 kB Bounce: 0 kB CommitLimit: 35001064 kB Committed_AS: 3860248 kB VmallocTotal: 34359738367 kB VmallocUsed: 125636 kB VmallocChunk: 34359612527 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB I want to learn more about the clock speed of the memory (in Mhz?). How do I get that information?

    Read the article

  • CodePlex Daily Summary for Saturday, March 27, 2010

    CodePlex Daily Summary for Saturday, March 27, 2010New ProjectsAlter gear SQL index Management: SQL Index management displays a list of indexes available for the chosen database and allows you to select an individual / group of indexes to be r...ASP League Ladder System: An ASP ladder / league system for online gaming league or real life leagues also.Augmented Reality Strategy Simulator: Augmented Reality Strategy Simulator is a software suite to promote computer aided strategy planning. Sports team can visualize their strategy usin...Boo syntax highlighting for Visual Studio 2010: Simple syntax hightlighting VSX add-in for Boo language in Visual Studio 2010.easySan: easySan zur einfachen Mitgliedsverwaltung im BRKFsUnit: FsUnit makes unit-testing with F# more enjoyable. It adds a special syntax to your favorite .NET testing framework.Laughing Dog XNA Framework: Laughing Dog is a simple to use, component based 2D framework for XNA game development. At present it is very early in development and as such is f...miniTodo: WPFでMVVMの練習にてきとうに作ったTODOアプリ 実用は無理です。My Common Library on .NET with CSharp: My Common Library on .NET with CSharp, it conclude database assecc, encrypt string, data caching, StringUtility, thank you for your view.Native code wrapping using c# : fsutil sparse commands: Ever thought about creating HUGE FILES for future use but felt bad for the wasted memory? Well, SPARSE FILES are the ANSWER! This FSUTIL SPARSE CO...Open SOA Platform: A centralized system for administering applications throught a SOA Enterprise Service Bus: Runtime environment (PROD, DEV, ...) , application and s...P-DBMS: Network and Database ProjectPraiseSight: PraiseSight is supposed to become a practical tool for churches to catalog an present their songs, lyrics and presentations on a beamer. The soluti...Pretty Good Frontend: Pretty Good Frontend is a sample frontend for ConfigMgr (SCCM) 2007 and MDT 2010 Zero Touch. S3Appender (Appender for Log4Net that Uses Amazon S3 For Storing Log Files): The S3Appender is a log4net appender that stores log events in either a MemoryStream or FileStream and sends them to S3 based on time intervals and...sEmit: sEmit (sms emitter) is an application written in C# which was built to send text messages. The project was founded in May 2009 by cansik. It works ...Silverlight RIA Tools: A tool set that generates a full RIA Solutions in Silverlightthommo cannon: Cannon for shooting down ThommosTianjin Polytechnic University Online Judge: Online Judge System Built on Microsoft technologies. Vision & Scope: A distributed OJ Solution on Windows and Cloud. Technologies used or planed...Tinare: Tinare is an byte encryption and decryption alogrithm. The input key is a string password.TinyPlug: Small Plugin Manager, written in C# Allows a project to define supported interfaces, and at runtime add plugins which support (inherit) these in...Utility niconv helps to convert text from one encoding to another: .NET implementation of GUN iconv console converter utility. The niconv program converts text from one encoding to another encoding. In the future r...WareFeed - Software Business Analytics: WareFeed is a simple but effective Software Business Analytics tool written in PHP and compatible others languages such as .NET, Java or Python. It...Y36API1: Semestralni projekt na Y36APINew ReleasesAlter gear SQL index Management: Setup 1.0.0: setup for first alpha releaseASP League Ladder System: ASPLeagueRelease_0_4_1: Release v 0.41Augmented Reality Strategy Simulator: Augmented Reality Strategy Simulator: Version 1.0 InstallerAutoAudit: AutoAudit 1.10e: Version 1.10e will be the final iteration of version 1 development. Version 2 will begin adding switches and options. Pleae email your suggestio...Boo syntax highlighting for Visual Studio 2010: Boo syntax VS 2010 - alpha: First release TODO: Multiline comments!Chargify.NET: Chargify.NET 0.6: Updated library, using Metered Components and updated Product information.Composer: V1.0.326.1000 Alpha: Initial Alpha release. Should be stable, with minor issues.CoNatural Components: CoNatural Components 1.6: Code fixes: Created helper classes to generate source code for type mapper/materializer. Fixed issue in optimized type materializer when loading ...CRM External View: 1.2: New Features in v1.2 release Password protected views. No more using Web Data Access role from v1. Filtering capabilities Caching for performan...Designit Video Embed Package: Release 1.1.0 beta1: You can now either have the video embeded directly in the template or have a preview in template that opens the video in a lightbox window.FsUnit: FsUnit 0.9.0 for NUnit: This release is for F# 2.0 and NUnit 2.5+.Laughing Dog XNA Framework: Laughing Dog 0.0.1: Laughing Dog - Alpla - v 0.0.1 First released version of the Laughing Dog framework.LiveUpload to Facebook: LiveUpload to Facebook 3.2: Version 3.2Become a fan on Facebook! Features Quickly and easily upload your photos and videos to Facebook, including any people tags added in Win...MapWindow6: MapWindow 6.0 msi March 26: This version adds the Join feature for creating a new "featureset" with attributes that are joined with attributes from a Excel data label named 'D...Mobile Broadband Logging Monitor: Mobile Broadband Logging Monitor 1.2.2: This edition supports: Newer and older editions of Birdstep Technology's EasyConnect HUAWEI Mobile Partner MWConn User defined location for s...Multiplayer Quiz: Release 1_6_351_0: A beta release of the next version. Please leave any errors in discussions or comments.Native code wrapping using c# : fsutil sparse commands: Fsutil sparse file native code - c sharp wrapper: Project Description A C# code wrapping a native code-Sparse files1 The code is about SPARSE files- the abillity to create huge files (for future us...Nice Libraries: 1.30 build 50325.01: Release 1.30 build 50325.01Pretty Good Frontend: Pretty Good Frontend binaries v1.0: This is the first public release of the Pretty Good Frontend binariesPylor: Pylor 0.1 alpha: This is the very first published version. I hope I can put a sample project soon.Quick Performance Monitor: Version 1.1 refresh: There was a typo or two in the sample batch file. Corrected now.Rapidshare Episode Downloader: RED v0.8.3: 0.8.1 introduced the ability to advance to the next episode. In 0.8.2 a bug was found that if episode number is less then 10, then the preceding 0...RapidWebDev - .NET Enterprise Software Development Infrastructure: RapidWebDev 1.52: RapidWebDev is an infrastructure helps to develop enterprise software solutions in Microsoft .NET easily and productively. This is the release vers...thommo cannon: game: gamethommo cannon: setup: setupthommo cannon: test: testTinare: Tinare DLL: Tinare DLL is a dynamic-link library written in C# which provides the functions to encrypt and decrypt a byte stream with tinare.WeatherBar: WeatherBar 2.1 [No Installation]: Minor changes to release 2.0 (http://weatherbar.codeplex.com/releases/view/42490). Fixed the bug that caused an exception to be thrown if the user...Most Popular ProjectsMetaSharpRawrWBFS ManagerASP.NET Ajax LibrarySilverlight ToolkitMicrosoft SQL Server Product Samples: DatabaseAJAX Control ToolkitLiveUpload to FacebookWindows Presentation Foundation (WPF)ASP.NETMost Active ProjectsRawrjQuery Library for SharePoint Web ServicesBlogEngine.NETMicrosoft Biology FoundationFarseer Physics Enginepatterns & practices: Composite WPF and SilverlightLINQ to TwitterTable2ClassFluent Ribbon Control SuiteNB_Store - Free DotNetNuke Ecommerce Catalog Module

    Read the article

  • include component inside an article in joomla

    - by user1212
    How can one include a component inside an article in joomla. I have tried using the Plugin Include Component in Joomla. I have a Phoca guestbook set up which works fine on its own. But when I try to include it inside an article using {component url='index.php?option=com_phocaguestbook'} It just does not display any component. This same procedure will work fine for other components. Any idea about what i am missing here?

    Read the article

  • Slab uses 88Gb of 128Gb available. What could cause this?

    - by Joris Meys
    We run a debian 2.6.26-2-amd64 x86_64 GNU/Linux on a server with 128 Gb. Recently it our available memory became rather low. Looking at the /proc/meminfo showed that the Slab was using 88Gb, which is counted in the used memory off course. Is this a problem? I suspect that memory will be freed when necessary, but I don't know if that could have unwanted side effects. Why would Slab need that much memory? Is there a clear cause for that? can we avoid this to happen in the future? How can we free this memory? thank you in advance > cat /proc/meminfo MemTotal: 132304500 kB MemFree: 26669388 kB Buffers: 237504 kB Cached: 11881136 kB SwapCached: 48 kB Active: 5244640 kB Inactive: 11714308 kB SwapTotal: 5751228 kB SwapFree: 5750436 kB Dirty: 24 kB Writeback: 0 kB AnonPages: 4840256 kB Mapped: 163968 kB Slab: 88314840 kB SReclaimable: 88275644 kB SUnreclaim: 39196 kB PageTables: 80852 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 71903476 kB Committed_AS: 6818332 kB VmallocTotal: 34359738367 kB VmallocUsed: 505724 kB VmallocChunk: 34359231963 kB

    Read the article

  • Postfix SMTP server down on Ubuntu

    - by Paddington
    I have a Plesk server running Postfix on Ubuntu 10.04 and the SMTP service on port 25 is down. When I stop and then start postfix the server comes up only for a minute and goes down again. I have checked the load on the server and it is low as shown: *top - 04:29:33 up 19 days, 3:25, 4 users, load average: 1.47, 1.78, 2.34 Tasks: 936 total, 1 running, 935 sleeping, 0 stopped, 0 zombie Cpu(s): 0.7%us, 0.3%sy, 0.0%ni, 86.6%id, 11.7%wa, 0.6%hi, 0.1%si, 0.0%st Mem: 6110496k total, 6072988k used, 37508k free, 251244k buffers Swap: 12000544k total, 95264k used, 11905280k free, 4370432k cached* IMAP clients are not experiencing a problem and there are no issues with receiving emails for both POP or IMAP. Only SMTP (port 25) is a problem. If I ask clients to use the submission port (587) messages are delivered. netstat -lnt shows the following results , so its not a port issue. tcp 0 0 0.0.0.0:25 0.0.0.0: LISTEN tcp 0 0 0.0.0.0:8443 0.0.0.0:* LISTEN*

    Read the article

  • What and why is my swap space used under linux

    - by Fabian
    on my linux system I get these stats from top: Tasks: 155 total, 1 running, 153 sleeping, 0 stopped, 1 zombie Cpu(s): 1.5%us, 0.3%sy, 0.0%ni, 97.4%id, 0.7%wa, 0.0%hi, 0.0%si, 0.0%st Mem: 8177180k total, 2025504k used, 6151676k free, 44176k buffers Swap: 7999996k total, 495300k used, 7504696k free, 637612k cached There it shows me that my system is using 495Mb of swap. Why is this so? 6Gigs of ram are free. And if I would disable swap entirely the system would also work. Any explanation what the number really shows or who is swapping?

    Read the article

  • HIGH CPU usage by PHP on a VPS Magento Server

    - by Anil
    My server running magento is 4gb ram and 4 core cpu. But still i am struggling with the high CPU usage. I only have 10 visitors at any given point of time. I am not sure if the PHP has to take this high % CPU usage. Attached is the TOP result. top - 09:18:32 up 2 days, 15:44, 1 user, load average: 1.16, 2.02, 1.99 Tasks: 179 total, 2 running, 177 sleeping, 0 stopped, 0 zombie Cpu(s): 46.7%us, 3.9%sy, 0.1%ni, 46.9%id, 1.0%wa, 0.0%hi, 0.0%si, 1.4%st Mem: 3919972k total, 3164968k used, 755004k free, 530820k buffers Swap: 1048568k total, 379352k used, 669216k free, 1536388k cached PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 15897 vpsadmin 20 0 431m 168m 54m R 91.7 4.4 2:16.16 php-cgi 12308 vpsadmin 20 0 404m 163m 73m S 29.3 4.3 15:15.90 php-cgi 3644 mysql 20 0 1528m 80m 4944 S 9.8 2.1 1899:58 mysqld 4969 apache 20 0 471m 6228 2824 S 2.0 0.2 0:18.53 httpd 16148 root 20 0 15024 1220 864 R 2.0 0.0 0:00.01 top 1 root 20 0 19364 1064 844 S 0.0 0.0 0:02.50 init

    Read the article

  • ... i just avoid GUID

    - by Tomaz.tsql
    Our partner was explaining to me that they are using GUID as primary key on all the tables. My immediate reaction was - why? and couple of basic doubts were: - since I can read uniqueidentifier, it does not tell me absolutely anything - if I will use my relational table, i sure will use other columns to get the information out - SQL is terrible when setting up clustered index on GUID columns (and hence performance problems) - why not use INT? it will save you space on disk, optimizer will be able...(read more)

    Read the article

  • broadcom BCM4318 firmware missing

    - by Lucas
    I tried sudo apt-get update && apt-cache search b43 sudo apt-get install firmware-b43-installer after that i get this error Can't update, Some index files failed to download i tried cd /var/lib/apt/lists/partial sudo rm gb.archive.ubuntu.com_ubuntu_dists_natty_multivers e_source_Sources OR sudo rm /var/lib/apt/lists/partial/gb.archive.ubuntu.com_ubuntu_dists_natty_multivers e_source_Sources another error cannot remove e_source_Sources

    Read the article

  • Masking a redirection in IIS7

    - by SydxPages
    My tools: IIS7 1 x Windows 2008 Server IIS URL Rewrite Module 2 (installed) My requirement: Mask the redirection of www.bob.com to www.abc.com/bob/index.html - the end user should not see the www.abc.com The user should then be able to browse the website as normal. I have found references to installing AAR, however this seems to be more for load balancing etc? Then others have said use a 3rd party tool etc.

    Read the article

  • The number of soft 404 errors is increasing because of redirects to the home page

    - by Stevie G
    I have an increase in soft 404 errors. Using Apache in my .htaccess file I have: Redirect 301 /test.html? /page/pop/test Redirect 301 /about.html? /about I have also tried: Redirect 301 http://www.example.co.za/test.html? http://www.example.co.za/services/test however whenever I go to: http://www.example.co.za/test.html http://www.example.co.za/about.html it just redirects to the home page I also have: RewriteRule ^.*$ index.php [NC,L] in .htaccess

    Read the article

  • Cannot install Acrobat Reader on Ubuntu 12.04.1

    - by user91137
    I have been trying to install Acrobat Reader on my Ubuntu 12.04.1. In the be;ggining, I tried to install it from the software-center, but it crashes with the report: (Reading database ... 189311 files and directories currently installed.) Unpacking acroread (from .../acroread_9.5.1-1precise1_i386.deb) ... dpkg: error processing /var/cache/apt/archives/acroread_9.5.1-1precise1_i386.deb (--unpack): trying to overwrite '/usr/bin/acroread', which is also in package adobereader-ptb 8.1.7-2 No apport report written because MaxReports is reached already Processing triggers for desktop-file-utils ... Processing triggers for bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Processing triggers for gnome-menus ... Processing triggers for man-db ... Errors were encountered while processing: /var/cache/apt/archives/acroread_9.5.1-1precise1_i386.deb" As as solution, I tried to install it via terminal, with the $sudo apt-get install acroread and receive the following: arcanjo@arcanjo:~$ sudo apt-get install acroread Lendo listas de pacotes... Pronto Construindo árvore de dependências Lendo informação de estado... Pronto Pacotes sugeridos: libldap2 libgnome-speech7 Os NOVOS pacotes a seguir serão instalados: acroread 0 pacotes atualizados, 1 pacotes novos instalados, 0 a serem removidos e 0 não atualizados. É preciso baixar 60,1 MB de arquivos. Depois desta operação, 142 MB adicionais de espaço em disco serão usados. Obter:1 http://archive.canonical.com/ubuntu/ precise/partner acroread i386 9.5.1-1precise1 [60,1 MB] Baixados 60,1 MB em 4min 17s (234 kB/s) (Lendo banco de dados ... 189311 ficheiros e directórios actualmente instalados.) Desempacotando acroread (de .../acroread_9.5.1-1precise1_i386.deb) ... dpkg: erro processando /var/cache/apt/archives/acroread_9.5.1-1precise1_i386.deb (--unpack): a tentar sobre-escrever '/usr/bin/acroread', que também está no pacote adobereader-ptb 8.1.7-2 Nenhum relatório apport escrito pois MaxReports já foi atingido Processando gatilhos para desktop-file-utils ... Processando gatilhos para bamfdaemon ... Rebuilding /usr/share/applications/bamf.index... Processando gatilhos para gnome-menus ... Processando gatilhos para man-db ... Erros foram encontrados durante o processamento de: /var/cache/apt/archives/acroread_9.5.1-1precise1_i386.deb E: Sub-process /usr/bin/dpkg returned an error code (1) arcanjo@arcanjo:~$ I've already tried to upgrade and update the apt-get, also tried to remove and re-install the software-center, tried deleting the "problematic" files and re-updating the apt-get... Nothing seems to work... Any solutions?

    Read the article

  • 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

    Read the article

  • Your Content Can Get Visibility Through Search Engines - Part 1

    Search engine marketing aims at getting higher search engine rankings for your website but for that you need to get yourself into the search engine Index first. Your content designed for your SEO activity should be accessible to millions of internet users and if your content is not found through the search engines, then all your search engine optimization efforts will go waste.

    Read the article

  • Page Hierarchy

    - by raghu.yadav
    Great example given by frank on Page Hierarchy here http://www.oracle.com/technology/products/jdev/tips/fnimphius/sitemenuprotection/index.html?_template=/ocom/printfew things we need to concentrate while implementing this example.1) create template and embed the same in all the jspx pages.2) set defaultFocusPath="true" for first itemNode in GroupNode and set idRef to point correct node.

    Read the article

  • So which null equals this null, that null? maybe this null, or is it this null?

    - by GrumpyOldDBA
    Tuning takes many routes and I get into some interesting situations and often make some exciting finds, see http://sqlblogcasts.com/blogs/grumpyolddba/archive/2010/05/17/just-when-you-thought-it-was-safe.aspx for an example. Today I encountered a multitude of Foreign Key constraints on a table, now FKs are often candidates for indexes and as none of the defined keys had an index it required a closer look. I view foreign key constraints as somewhat of a pain, excessive keys can cause excessive related...(read more)

    Read the article

  • Zabbix - Some of the monitored items don't refreh

    - by Niro
    I'm experiencing a strange issue with Zabbix monitoring a MySQL server. Most of the data from the server such as MySQL queries per second and MySQL uptime , Buffers memory etc. update nicely while some data like CPU iowait time (avg1) , Host local time ,MySQL number of threads and other items which were monitored in the past has last check time of about a week ago. I can't find any logic in this, for example Mysql number of threads and Mysql queries per second are obtained in a similar way so it does not make sense one of them is monitored and one is not. Please help- how can I fix this? Update - I used zabbix_get from the zabbix server to check one of the items on the zabbix client and it works so the problem must be on the zabbix server side

    Read the article

  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

    Read the article

  • The blocking nature of aggregates

    - by Rob Farley
    I wrote a post recently about how query tuning isn’t just about how quickly the query runs – that if you have something (such as SSIS) that is consuming your data (and probably introducing a bottleneck), then it might be more important to have a query which focuses on getting the first bit of data out. You can read that post here.  In particular, we looked at two operators that could be used to ensure that a query returns only Distinct rows. and The Sort operator pulls in all the data, sorts it (discarding duplicates), and then pushes out the remaining rows. The Hash Match operator performs a Hashing function on each row as it comes in, and then looks to see if it’s created a Hash it’s seen before. If not, it pushes the row out. The Sort method is quicker, but has to wait until it’s gathered all the data before it can do the sort, and therefore blocks the data flow. But that was my last post. This one’s a bit different. This post is going to look at how Aggregate functions work, which ties nicely into this month’s T-SQL Tuesday. I’ve frequently explained about the fact that DISTINCT and GROUP BY are essentially the same function, although DISTINCT is the poorer cousin because you have less control over it, and you can’t apply aggregate functions. Just like the operators used for Distinct, there are different flavours of Aggregate operators – coming in blocking and non-blocking varieties. The example I like to use to explain this is a pile of playing cards. If I’m handed a pile of cards and asked to count how many cards there are in each suit, it’s going to help if the cards are already ordered. Suppose I’m playing a game of Bridge, I can easily glance at my hand and count how many there are in each suit, because I keep the pile of cards in order. Moving from left to right, I could tell you I have four Hearts in my hand, even before I’ve got to the end. By telling you that I have four Hearts as soon as I know, I demonstrate the principle of a non-blocking operation. This is known as a Stream Aggregate operation. It requires input which is sorted by whichever columns the grouping is on, and it will release a row as soon as the group changes – when I encounter a Spade, I know I don’t have any more Hearts in my hand. Alternatively, if the pile of cards are not sorted, I won’t know how many Hearts I have until I’ve looked through all the cards. In fact, to count them, I basically need to put them into little piles, and when I’ve finished making all those piles, I can count how many there are in each. Because I don’t know any of the final numbers until I’ve seen all the cards, this is blocking. This performs the aggregate function using a Hash Match. Observant readers will remember this from my Distinct example. You might remember that my earlier Hash Match operation – used for Distinct Flow – wasn’t blocking. But this one is. They’re essentially doing a similar operation, applying a Hash function to some data and seeing if the set of values have been seen before, but before, it needs more information than the mere existence of a new set of values, it needs to consider how many of them there are. A lot is dependent here on whether the data coming out of the source is sorted or not, and this is largely determined by the indexes that are being used. If you look in the Properties of an Index Scan, you’ll be able to see whether the order of the data is required by the plan. A property called Ordered will demonstrate this. In this particular example, the second plan is significantly faster, but is dependent on having ordered data. In fact, if I force a Stream Aggregate on unordered data (which I’m doing by telling it to use a different index), a Sort operation is needed, which makes my plan a lot slower. This is all very straight-forward stuff, and information that most people are fully aware of. I’m sure you’ve all read my good friend Paul White (@sql_kiwi)’s post on how the Query Optimizer chooses which type of aggregate function to apply. But let’s take a look at SQL Server Integration Services. SSIS gives us a Aggregate transformation for use in Data Flow Tasks, but it’s described as Blocking. The definitive article on Performance Tuning SSIS uses Sort and Aggregate as examples of Blocking Transformations. I’ve just shown you that Aggregate operations used by the Query Optimizer are not always blocking, but that the SSIS Aggregate component is an example of a blocking transformation. But is it always the case? After all, there are plenty of SSIS Performance Tuning talks out there that describe the value of sorted data in Data Flow Tasks, describing the IsSorted property that can be set through the Advanced Editor of your Source component. And so I set about testing the Aggregate transformation in SSIS, to prove for sure whether providing Sorted data would let the Aggregate transform behave like a Stream Aggregate. (Of course, I knew the answer already, but it helps to be able to demonstrate these things). A query that will produce a million rows in order was in order. Let me rephrase. I used a query which produced the numbers from 1 to 1000000, in a single field, ordered. The IsSorted flag was set on the source output, with the only column as SortKey 1. Performing an Aggregate function over this (counting the number of rows per distinct number) should produce an additional column with 1 in it. If this were being done in T-SQL, the ordered data would allow a Stream Aggregate to be used. In fact, if the Query Optimizer saw that the field had a Unique Index on it, it would be able to skip the Aggregate function completely, and just insert the value 1. This is a shortcut I wouldn’t be expecting from SSIS, but certainly the Stream behaviour would be nice. Unfortunately, it’s not the case. As you can see from the screenshots above, the data is pouring into the Aggregate function, and not being released until all million rows have been seen. It’s not doing a Stream Aggregate at all. This is expected behaviour. (I put that in bold, because I want you to realise this.) An SSIS transformation is a piece of code that runs. It’s a physical operation. When you write T-SQL and ask for an aggregation to be done, it’s a logical operation. The physical operation is either a Stream Aggregate or a Hash Match. In SSIS, you’re telling the system that you want a generic Aggregation, that will have to work with whatever data is passed in. I’m not saying that it wouldn’t be possible to make a sometimes-blocking aggregation component in SSIS. A Custom Component could be created which could detect whether the SortKeys columns of the input matched the Grouping columns of the Aggregation, and either call the blocking code or the non-blocking code as appropriate. One day I’ll make one of those, and publish it on my blog. I’ve done it before with a Script Component, but as Script components are single-use, I was able to handle the data knowing everything about my data flow already. As per my previous post – there are a lot of aspects in which tuning SSIS and tuning execution plans use similar concepts. In both situations, it really helps to have a feel for what’s going on behind the scenes. Considering whether an operation is blocking or not is extremely relevant to performance, and that it’s not always obvious from the surface. In a future post, I’ll show the impact of blocking v non-blocking and synchronous v asynchronous components in SSIS, using some of LobsterPot’s Script Components and Custom Components as examples. When I get that sorted, I’ll make a Stream Aggregate component available for download.

    Read the article

  • T-SQL Tuesday #31 - Logging Tricks with CONTEXT_INFO

    - by Most Valuable Yak (Rob Volk)
    This month's T-SQL Tuesday is being hosted by Aaron Nelson [b | t], fellow Atlantan (the city in Georgia, not the famous sunken city, or the resort in the Bahamas) and covers the topic of logging (the recording of information, not the harvesting of trees) and maintains the fine T-SQL Tuesday tradition begun by Adam Machanic [b | t] (the SQL Server guru, not the guy who fixes cars, check the spelling again, there will be a quiz later). This is a trick I learned from Fernando Guerrero [b | t] waaaaaay back during the PASS Summit 2004 in sunny, hurricane-infested Orlando, during his session on Secret SQL Server (not sure if that's the correct title, and I haven't used parentheses in this paragraph yet).  CONTEXT_INFO is a neat little feature that's existed since SQL Server 2000 and perhaps even earlier.  It lets you assign data to the current session/connection, and maintains that data until you disconnect or change it.  In addition to the CONTEXT_INFO() function, you can also query the context_info column in sys.dm_exec_sessions, or even sysprocesses if you're still running SQL Server 2000, if you need to see it for another session. While you're limited to 128 bytes, one big advantage that CONTEXT_INFO has is that it's independent of any transactions.  If you've ever logged to a table in a transaction and then lost messages when it rolled back, you can understand how aggravating it can be.  CONTEXT_INFO also survives across multiple SQL batches (GO separators) in the same connection, so for those of you who were going to suggest "just log to a table variable, they don't get rolled back":  HA-HA, I GOT YOU!  Since GO starts a new batch all variable declarations are lost. Here's a simple example I recently used at work.  I had to test database mirroring configurations for disaster recovery scenarios and measure the network throughput.  I also needed to log how long it took for the script to run and include the mirror settings for the database in question.  I decided to use AdventureWorks as my database model, and Adam Machanic's Big Adventure script to provide a fairly large workload that's repeatable and easily scalable.  My test would consist of several copies of AdventureWorks running the Big Adventure script while I mirrored the databases (or not). Since Adam's script contains several batches, I decided CONTEXT_INFO would have to be used.  As it turns out, I only needed to grab the start time at the beginning, I could get the rest of the data at the end of the process.   The code is pretty small: declare @time binary(128)=cast(getdate() as binary(8)) set context_info @time   ... rest of Big Adventure code ...   go use master; insert mirror_test(server,role,partner,db,state,safety,start,duration) select @@servername, mirroring_role_desc, mirroring_partner_instance, db_name(database_id), mirroring_state_desc, mirroring_safety_level_desc, cast(cast(context_info() as binary(8)) as datetime), datediff(s,cast(cast(context_info() as binary(8)) as datetime),getdate()) from sys.database_mirroring where db_name(database_id) like 'Adv%';   I declared @time as a binary(128) since CONTEXT_INFO is defined that way.  I couldn't convert GETDATE() to binary(128) as it would pad the first 120 bytes as 0x00.  To keep the CAST functions simple and avoid using SUBSTRING, I decided to CAST GETDATE() as binary(8) and let SQL Server do the implicit conversion.  It's not the safest way perhaps, but it works on my machine. :) As I mentioned earlier, you can query system views for sessions and get their CONTEXT_INFO.  With a little boilerplate code this can be used to monitor long-running procedures, in case you need to kill a process, or are just curious  how long certain parts take.  In this example, I added code to Adam's Big Adventure script to set CONTEXT_INFO messages at strategic places I want to monitor.  (His code is in UPPERCASE as it was in the original, mine is all lowercase): declare @msg binary(128) set @msg=cast('Altering bigProduct.ProductID' as binary(128)) set context_info @msg go ALTER TABLE bigProduct ALTER COLUMN ProductID INT NOT NULL GO set context_info 0x0 go declare @msg1 binary(128) set @msg1=cast('Adding pk_bigProduct Constraint' as binary(128)) set context_info @msg1 go ALTER TABLE bigProduct ADD CONSTRAINT pk_bigProduct PRIMARY KEY (ProductID) GO set context_info 0x0 go declare @msg2 binary(128) set @msg2=cast('Altering bigTransactionHistory.TransactionID' as binary(128)) set context_info @msg2 go ALTER TABLE bigTransactionHistory ALTER COLUMN TransactionID INT NOT NULL GO set context_info 0x0 go declare @msg3 binary(128) set @msg3=cast('Adding pk_bigTransactionHistory Constraint' as binary(128)) set context_info @msg3 go ALTER TABLE bigTransactionHistory ADD CONSTRAINT pk_bigTransactionHistory PRIMARY KEY NONCLUSTERED(TransactionID) GO set context_info 0x0 go declare @msg4 binary(128) set @msg4=cast('Creating IX_ProductId_TransactionDate Index' as binary(128)) set context_info @msg4 go CREATE NONCLUSTERED INDEX IX_ProductId_TransactionDate ON bigTransactionHistory(ProductId,TransactionDate) INCLUDE(Quantity,ActualCost) GO set context_info 0x0   This doesn't include the entire script, only those portions that altered a table or created an index.  One annoyance is that SET CONTEXT_INFO requires a literal or variable, you can't use an expression.  And since GO starts a new batch I need to declare a variable in each one.  And of course I have to use CAST because it won't implicitly convert varchar to binary.  And even though context_info is a nullable column, you can't SET CONTEXT_INFO NULL, so I have to use SET CONTEXT_INFO 0x0 to clear the message after the statement completes.  And if you're thinking of turning this into a UDF, you can't, although a stored procedure would work. So what does all this aggravation get you?  As the code runs, if I want to see which stage the session is at, I can run the following (assuming SPID 51 is the one I want): select CAST(context_info as varchar(128)) from sys.dm_exec_sessions where session_id=51   Since SQL Server 2005 introduced the new system and dynamic management views (DMVs) there's not as much need for tagging a session with these kinds of messages.  You can get the session start time and currently executing statement from them, and neatly presented if you use Adam's sp_whoisactive utility (and you absolutely should be using it).  Of course you can always use xp_cmdshell, a CLR function, or some other tricks to log information outside of a SQL transaction.  All the same, I've used this trick to monitor long-running reports at a previous job, and I still think CONTEXT_INFO is a great feature, especially if you're still using SQL Server 2000 or want to supplement your instrumentation.  If you'd like an exercise, consider adding the system time to the messages in the last example, and an automated job to query and parse it from the system tables.  That would let you track how long each statement ran without having to run Profiler. #TSQL2sDay

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 215 216 217 218 219 220 221 222 223 224 225 226  | Next Page >