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  • ntpd server always in 'INIT' mode

    - by Deepak
    I'm running ntpd server in my ubuntu (10.04) machine. But it is always stays in the 'INIT' state as shown below. lyra@ws07475:~$ ntpq -p remote refid st t when poll reach delay offset jitter ============================================================================== europium.canoni .INIT. 16 u - 1024 0 0.000 0.000 0.000 lyra@ws07475:~$ Of course, this means that it is not keeping time. How can I start 'ntpd' server properly ? Please help.

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  • Microsoft Desktop Player is a Valuable Tool for IT Pro’s

    - by Mysticgeek
    If you are an IT Professional, a new education tool introduced by Microsoft is the MS Desktop Player. Today we take a look at what it has to offer, from Webcasts, White Papers, Training Videos, and more. Microsoft Desktop Player You can run the player from the website (shown here) or download the application for use on your local machine (link below). It allows you to easily access MS training and information in a central interface. To get the Desktop version, download the .msi file from the site… And run through the installer…   When you first start out, enter in if you’re an IT Pro, Developer and your role. Then you can decide on the resources you’re looking for such as Exchange Server, SharePoint, Windows 7, Security…etc. Here is an example of checking out a Podcast on Office 2007 setup and configuration from TechNet radio. Under Settings you can customize your search results and local resources. This helps you narrow down pertinent information for your needs. If you find something you really like, hover the pointer over the screen and you can add it to your library, share it, send feedback, and check for additional resources. If you don’t need items in your library they can be easily deleted. Under the News tab you get previews of Microsoft news items, clicking on it will open the full article in a separate browser. While you’re watching a presentation you can show or hide the details related to it. Conclusion Microsoft Desktop Player is currently in Beta, but has a lot of cool features to offer for your learning needs. You can easily find Podcasts, Webcasts, and more without having to browse all over the place. In our experience we didn’t notice any bugs, and what it offers so far works well. If you’re a geek who’s constantly browsing TechNet and other Microsoft learning sites, this helps keep everything consolidated in one app.  Download Microsoft Desktop Player Similar Articles Productive Geek Tips Fixing When Windows Media Player Library Won’t Let You Add FilesBuilt-in Quick Launch Hotkeys in Windows VistaNew Vista Syntax for Opening Control Panel Items from the Command-lineHow to Get Virtual Desktops on Windows XPWindows 7 Welcome Screen Taking Forever? Here’s the Fix (Maybe) TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Xobni Plus for Outlook All My Movies 5.9 CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 Zoofs, find the most popular tweeted YouTube videos Video preview of new Windows Live Essentials 21 Cursor Packs for XP, Vista & 7 Map the Stars with Stellarium Use ILovePDF To Split and Merge PDF Files TimeToMeet is a Simple Online Meeting Planning Tool

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  • Don’t Miss The Top Exastack ISV Headlines – Week Of June 5

    - by Roxana Babiciu
    Smartsoft's OCEAN Payment Processing Solution achieves Oracle Exadata Optimized status. "Performance is the most important issue for our success in the market and running OCEAN on the Oracle Exadata Database Machine provides customers with extreme performance.” – Learn more Banking solution FORBIS Ltd’s FORPOST achieves Oracle Exadata, Exalogic and SuperCluster Ready Status. “We are glad to offer our current and future customers the newest features provided by Oracle Engineered Systems to achieve maximum reliability and speed operation.” – Learn more

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  • How do I Integrate Production Database Hot Fixes into Shared Database Development model?

    - by TetonSig
    We are using SQL Source Control 3, SQL Compare, SQL Data Compare from RedGate, Mercurial repositories, TeamCity and a set of 4 environments including production. I am working on getting us to a dedicated environment per developer, but for at least the next 6 months we are stuck with a shared model. To summarize our current system, we have a DEV SQL server where developers first make changes/additions. They commit their changes through SQL Source Control to a local hgdev repository. When they execute an hg push to the main repository, TeamCity listens for that and then (among other things) pushes hgdev repository to hgrc. Another TeamCity process listens for that and does a pull from hgrc and deploys the latest to a QA SQL Server where regression and integration tests are run. When those are passed a push from hgrc to hgprod occurs. We do a compare of hgprod to our PREPROD SQL Server and generate deployment/rollback scripts for our production release. Separate from the above we have database Hot Fixes that will need to be applied in between releases. The process there is for our Operations team make changes on the PreProd database, and then after testing, to use SQL Source Control to commit their hot fix changes to hgprod from the PREPROD database, and then do a compare from hgprod to PRODUCTION, create deployment scripts and run them on PRODUCTION. If we were in a dedicated database per developer model, we could simply automatically push hgprod back to hgdev and merge in the hot fix change (through TeamCity monitoring for hgprod checkins) and then developers would pick it up and merge it to their local repository and database periodically. However, given that with a shared model the DEV database itself is the source of all changes, this won't work. Pushing hotfixes back to hgdev will show up in SQL Source Control as being different than DEV SQL Server and therefore we need to overwrite the reposistory with the "change" from the DEV SQL Server. My only workaround so far is to just have OPS assign a developer the hotfix ticket with a script attached and then we run their hotfixes against DEV ourselves to merge them back in. I'm not happy with that solution. Other than working faster to get to dedicated environment, are they other ways to keep this loop going automatically?

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  • SQLAuthority Book Review DBA Survivor: Become a Rock Star DBA

    DBA Survivor: Become a Rock Star DBA – Thomas LaRock Link to Amazon Link to Flipkart First of all, I thank all my readers when I wrote that I could not get this book in any local book stores, because they offered me to send a copy of this good book. A very special mention [...]...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Downloading error "Could not retrieve the required disk image "

    - by Freed Ahmad
    When I try to download Ubuntu 12.04 using the Windows installer (Wubi) through a proxy server which requires proxy authentication, after I choose the Ubuntu installation size, username and password, when I click the Install button, I get this error: An error occurred: Could not retrieve the required disk image files For more information, please see the log file: c:\users\(myusername)\appdata\local\temp\wubi-12.04-rev266.log The log file says: proxy authentication error How can I solve this problem?

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  • ubuntu 12.04 python problem or?

    - by Trki
    Hi i am trying to fix this for a long time but without success. When i open my zsh terminal i get this error: (terminal is working but error appear) Welcome to the world of tomorrow! virtualenvwrapper_run_hook:12: permission denied: virtualenvwrapper.sh: There was a problem running the initialization hooks. If Python could not import the module virtualenvwrapper.hook_loader, check that virtualenv has been installed for VIRTUALENVWRAPPER_PYTHON= and that PATH is set properly. I tried few things but... dont know how to solve it. Somehow during looking for a search i found i should post here an output of: ? sudo dpkg --configure -a Setting up python-pip (1.0-1build1) ... /var/lib/dpkg/info/python-pip.postinst: 6: /var/lib/dpkg/info/python-pip.postinst: pycompile: not found dpkg: error processing python-pip (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libc-dev-bin (2.15-0ubuntu10.5) ... Setting up gnome-control-center-data (1:3.4.2-0ubuntu0.13) ... Setting up linux-libc-dev (3.2.0-56.86) ... Setting up python-virtualenv (1.7.1.2-1) ... /var/lib/dpkg/info/python-virtualenv.postinst: 6: /var/lib/dpkg/info/python-virtualenv.postinst: pycompile: not found dpkg: error processing python-virtualenv (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libglib2.0-0 (2.32.4-0ubuntu1) ... Setting up libglib2.0-0:i386 (2.32.4-0ubuntu1) ... Setting up gimp (2.6.12-1ubuntu1.2) ... /var/lib/dpkg/info/gimp.postinst: 11: /var/lib/dpkg/info/gimp.postinst: pycompile: not found dpkg: error processing gimp (--configure): subprocess installed post-installation script returned error exit status 127 Setting up libpolkit-gobject-1-0 (0.104-1ubuntu1.1) ... Setting up libgnome-control-center1 (1:3.4.2-0ubuntu0.13) ... Setting up libnm-util2 (0.9.4.0-0ubuntu4.3) ... Setting up libc6-dev (2.15-0ubuntu10.5) ... Setting up libpulse-mainloop-glib0 (1:1.1-0ubuntu15.4) ... dpkg: dependency problems prevent configuration of virtualenvwrapper: virtualenvwrapper depends on python-virtualenv; however: Package python-virtualenv is not configured yet. dpkg: error processing virtualenvwrapper (--configure): dependency problems - leaving unconfigured Setting up libpolkit-agent-1-0 (0.104-1ubuntu1.1) ... Setting up libupower-glib1 (0.9.15-3git1ubuntu0.1) ... Setting up libaccountsservice0 (0.6.15-2ubuntu9.6.1) ... Setting up libpolkit-backend-1-0 (0.104-1ubuntu1.1) ... Setting up libglib2.0-bin (2.32.4-0ubuntu1) ... Setting up libnm-glib4 (0.9.4.0-0ubuntu4.3) ... Setting up policykit-1 (0.104-1ubuntu1.1) ... Setting up gnome-settings-daemon (3.4.2-0ubuntu0.6.4) ... Setting up accountsservice (0.6.15-2ubuntu9.6.1) ... dpkg: error processing ubuntu-system-service (--configure): Package is in a very bad inconsistent state - you should reinstall it before attempting configuration. Processing triggers for libc-bin ... ldconfig deferred processing now taking place Errors were encountered while processing: python-pip python-virtualenv gimp virtualenvwrapper ubuntu-system-service Also: ? python --version zsh: command not found: python Part of my ~/.zshrc # python virtual env wrapper if [ -f ~/.local/bin/virtualenvwrapper.sh ]; then export WORKON_HOME=~/.virtualenvs source ~/.local/bin/virtualenvwrapper.sh plugins=("${plugins[@]}" virtualenvwrapper) fi # pythonbrew [[ -s ~/.pythonbrew/etc/bashrc ]] && source ~/.pythonbrew/etc/bashrc Part os zsh -xv # # Invoke the initialization functions # virtualenvwrapper_initialize +/home/trki/.local/bin/virtualenvwrapper.sh:1179> virtualenvwrapper_initialize +virtualenvwrapper_initialize:1> virtualenvwrapper_derive_workon_home +virtualenvwrapper_derive_workon_home:1> typeset 'workon_home_dir=/home/trki/.virtualenvs' +virtualenvwrapper_derive_workon_home:5> [ /home/trki/.virtualenvs '=' '' ']' +virtualenvwrapper_derive_workon_home:12> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:12> unset GREP_OPTIONS +virtualenvwrapper_derive_workon_home:12> grep '^[^/~]' +virtualenvwrapper_derive_workon_home:21> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:21> unset GREP_OPTIONS +virtualenvwrapper_derive_workon_home:21> egrep '([\$~]|//)' +virtualenvwrapper_derive_workon_home:30> echo /home/trki/.virtualenvs +virtualenvwrapper_derive_workon_home:31> return 0 +virtualenvwrapper_initialize:1> export 'WORKON_HOME=/home/trki/.virtualenvs' +virtualenvwrapper_initialize:3> virtualenvwrapper_verify_workon_home -q +virtualenvwrapper_verify_workon_home:1> RC=0 +virtualenvwrapper_verify_workon_home:2> [ ! -d /home/trki/.virtualenvs/ ']' +virtualenvwrapper_verify_workon_home:11> return 0 +virtualenvwrapper_initialize:6> [ /home/trki/.virtualenvs '=' '' ']' +virtualenvwrapper_initialize:11> virtualenvwrapper_run_hook initialize +virtualenvwrapper_run_hook:1> typeset hook_script +virtualenvwrapper_run_hook:2> typeset result +virtualenvwrapper_run_hook:4> hook_script=+virtualenvwrapper_run_hook:4> virtualenvwrapper_tempfile initialize-hook +virtualenvwrapper_tempfile:2> typeset 'suffix=initialize-hook' +virtualenvwrapper_tempfile:3> typeset file +virtualenvwrapper_tempfile:5> file=+virtualenvwrapper_tempfile:5> virtualenvwrapper_mktemp -t virtualenvwrapper-initialize-hook-XXXXXXXXXX +virtualenvwrapper_mktemp:1> mktemp -t virtualenvwrapper-initialize-hook-XXXXXXXXXX +virtualenvwrapper_tempfile:5> file=/tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_tempfile:6> [ 0 -ne 0 ']' +virtualenvwrapper_tempfile:6> [ -z /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 ']' +virtualenvwrapper_tempfile:6> [ ! -f /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 ']' +virtualenvwrapper_tempfile:11> echo /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_tempfile:12> return 0 +virtualenvwrapper_run_hook:4> hook_script=/tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_run_hook:11> cd /home/trki/.virtualenvs +cd:1> [[ x/home/trki/.virtualenvs == x... ]] +cd:3> [[ x/home/trki/.virtualenvs == x.... ]] +cd:5> [[ x/home/trki/.virtualenvs == x..... ]] +cd:7> [[ x/home/trki/.virtualenvs == x...... ]] +cd:9> [ -d /home/trki/.autoenv ']' +cd:13> cd /home/trki/.virtualenvs +virtualenvwrapper_run_hook:12> '' -m virtualenvwrapper.hook_loader --script /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 initialize virtualenvwrapper_run_hook:12: permission denied: +virtualenvwrapper_run_hook:15> result=126 +virtualenvwrapper_run_hook:17> [ 126 -eq 0 ']' +virtualenvwrapper_run_hook:27> [ initialize '=' initialize ']' +virtualenvwrapper_run_hook:29> cat - virtualenvwrapper.sh: There was a problem running the initialization hooks. If Python could not import the module virtualenvwrapper.hook_loader, check that virtualenv has been installed for VIRTUALENVWRAPPER_PYTHON= and that PATH is set properly. +virtualenvwrapper_run_hook:38> rm -f /tmp/virtualenvwrapper-initialize-hook-OhY86PXmo7 +virtualenvwrapper_run_hook:39> return 126 +virtualenvwrapper_initialize:13> virtualenvwrapper_setup_tab_completion +virtualenvwrapper_setup_tab_completion:1> [ -n '' ']' +virtualenvwrapper_setup_tab_completion:20> [ -n 4.3.17 ']' +virtualenvwrapper_setup_tab_completion:30> compctl -K _virtualenvs workon rmvirtualenv cpvirtualenv showvirtualenv +virtualenvwrapper_setup_tab_completion:31> compctl -K _cdvirtualenv_complete cdvirtualenv +virtualenvwrapper_setup_tab_completion:32> compctl -K _cdsitepackages_complete cdsitepackages +virtualenvwrapper_initialize:15> return 0 +/home/trki/.zshrc:17> plugins=( git python django symfony2 zsh-syntax-highlighting composer history-substring-search virtualenvwrapper ) # pythonbrew [[ -s ~/.pythonbrew/etc/bashrc ]] && source ~/.pythonbrew/etc/bashrc +/home/trki/.zshrc:21> [[ -s /home/trki/.pythonbrew/etc/bashrc ]] Also when i try to open ubuntu software center absolutly nothing happens. No idea what to do now.

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  • New Feature in ODI 11.1.1.6: ODI for Big Data

    - by Julien Testut
    Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} By Ananth Tirupattur Starting with Oracle Data Integrator 11.1.1.6.0, ODI is offering a solution to process Big Data. This post provides an overview of this feature. With all the buzz around Big Data and before getting into the details of ODI for Big Data, I will provide a brief introduction to Big Data and Oracle Solution for Big Data. So, what is Big Data? Big data includes: structured data (this includes data from relation data stores, xml data stores), semi-structured data (this includes data from weblogs) unstructured data (this includes data from text blob, images) Traditionally, business decisions are based on the information gathered from transactional data. For example, transactional Data from CRM applications is fed to a decision system for analysis and decision making. Products such as ODI play a key role in enabling decision systems. However, with the emergence of massive amounts of semi-structured and unstructured data it is important for decision system to include them in the analysis to achieve better decision making capability. While there is an abundance of opportunities for business for gaining competitive advantages, process of Big Data has challenges. The challenges of processing Big Data include: Volume of data Velocity of data - The high Rate at which data is generated Variety of data In order to address these challenges and convert them into opportunities, we would need an appropriate framework, platform and the right set of tools. Hadoop is an open source framework which is highly scalable, fault tolerant system, for storage and processing large amounts of data. Hadoop provides 2 key services, distributed and reliable storage called Hadoop Distributed File System or HDFS and a framework for parallel data processing called Map-Reduce. Innovations in Hadoop and its related technology continue to rapidly evolve, hence therefore, it is highly recommended to follow information on the web to keep up with latest information. Oracle's vision is to provide a comprehensive solution to address the challenges faced by Big Data. Oracle is providing the necessary Hardware, software and tools for processing Big Data Oracle solution includes: Big Data Appliance Oracle NoSQL Database Cloudera distribution for Hadoop Oracle R Enterprise- R is a statistical package which is very popular among data scientists. ODI solution for Big Data Oracle Loader for Hadoop for loading data from Hadoop to Oracle. Further details can be found here: http://www.oracle.com/us/products/database/big-data-appliance/overview/index.html ODI Solution for Big Data: ODI’s goal is to minimize the need to understand the complexity of Hadoop framework and simplify the adoption of processing Big Data seamlessly in an enterprise. ODI is providing the capabilities for an integrated architecture for processing Big Data. This includes capability to load data in to Hadoop, process data in Hadoop and load data from Hadoop into Oracle. ODI is expanding its support for Big Data by providing the following out of the box Knowledge Modules (KMs). IKM File to Hive (LOAD DATA).Load unstructured data from File (Local file system or HDFS ) into Hive IKM Hive Control AppendTransform and validate structured data on Hive IKM Hive TransformTransform unstructured data on Hive IKM File/Hive to Oracle (OLH)Load processed data in Hive to Oracle RKM HiveReverse engineer Hive tables to generate models Using the Loading KM you can map files (local and HDFS files) to the corresponding Hive tables. For example, you can map weblog files categorized by date into a corresponding partitioned Hive table schema. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Hive control Append KM you can validate and transform data in Hive. In the below example, two source Hive tables are joined and mapped to a target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} The Hive Transform KM facilitates processing of semi-structured data in Hive. In the below example, the data from weblog is processed using a Perl script and mapped to target Hive table. Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-bidi-font-family:"Times New Roman";} Using the Oracle Loader for Hadoop (OLH) KM you can load data from Hive table or HDFS to a corresponding table in Oracle. OLH is available as a standalone product. ODI greatly enhances OLH capability by generating the configuration and mapping files for OLH based on the configuration provided in the interface and KM options. ODI seamlessly invokes OLH when executing the scenario. In the below example, a HDFS file is mapped to a table in Oracle. Development and Deployment:The following diagram illustrates the development and deployment of ODI solution for Big Data. Using the ODI Studio on your development machine create and develop ODI solution for processing Big Data by connecting to a MySQL DB or Oracle database on a BDA machine or Hadoop cluster. Schedule the ODI scenarios to be executed on the ODI agent deployed on the BDA machine or Hadoop cluster. ODI Solution for Big Data provides several exciting new capabilities to facilitate the adoption of Big Data in an enterprise. You can find more information about the Oracle Big Data connectors on OTN. You can find an overview of all the new features introduced in ODI 11.1.1.6 in the following document: ODI 11.1.1.6 New Features Overview

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  • The Google Prediction API

    The Google Prediction API The Prediction API enables you to make your smart apps even smarter. The API accesses Google's machine learning algorithms to analyze your historic data and predict likely future outcomes. Using the Google Prediction API, you can build the following intelligence into your applications. Read more at code.google.com From: GoogleDevelopers Views: 15834 113 ratings Time: 01:37 More in Science & Technology

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  • QJackCtl - Alsa Unknown driver

    - by user69458
    Here's my problem : I just have installed QJackCtl on my Ubuntu 12.04 and when I start Jack I got this issue : 12:01:22.769 /usr/local/bin/jackd -dalsa -dhw:0 -r44100 -p1024 -n3 -i1 -o2 Cannot connect to server socket err = Aucun fichier ou dossier de ce type Cannot connect to server socket jack server is not running or cannot be started Unknown driver "alsa" If anyone knows the solution It would help me a lot !

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  • VSDB to SSDT part 4 : Redistributable database deployment package with SqlPackage.exe

    - by Etienne Giust
    The goal here is to use SSDT SqlPackage to deploy the output of a Visual Studio 2012 Database project… a bit in the same fashion that was detailed here : http://geekswithblogs.net/80n/archive/2012/09/12/vsdb-to-ssdt-part-3--command-line-deployment-with-sqlpackage.exe.aspx   The difference is we want to do it on an environment where Visual Studio 2012 and SSDT are not installed. This might be the case of your Production server.   Package structure So, to get started you need to create a folder named “DeploymentSSDTRedistributable”. This folder will have the following structure :         The dacpac and dll files are the outputs of your Visual Studio 2012 Database project. If your database project references another database project, you need to put their dacpac and dll here too, otherwise deployment will not work. The publish.xml file is the publish configuration suitable for your target environment. It holds connexion strings, SQLVARS parameters and deployment options. Review it carefully. The SqlDacRuntime folder (an arbitrary chosen name) will hold the SqlPackage executable and supporting libraries   Contents of the SqlDacRuntime folder Here is what you need to put in the SqlDacRuntime folder  :      You will be able to find these files in the following locations, on a machine with Visual Studio 2012 Ultimate installed : C:\Program Files (x86)\Microsoft SQL Server\110\DAC\bin : SqlPackage.exe Microsoft.Data.Tools.Schema.Sql.dll  Microsoft.Data.Tools.Utilities.dll Microsoft.SqlServer.Dac.dll C:\Windows\Microsoft.NET\assembly\GAC_MSIL\Microsoft.SqlServer.TransactSql.ScriptDom\v4.0_11.0.0.0__89845dcd8080cc91 Microsoft.SqlServer.TransactSql.ScriptDom.dll   Deploying   Now take your DeploymentSSDTRedistributable deployment package to your remote machine. In a standard command window, place yourself inside the DeploymentSSDTRedistributable  folder.   You can first perform a check of what will be updated in the target database. The DeployReport task of SqlPackage.exe will help you do that. The following command will output an xml of the changes:   "SqlDacRuntime/SqlPackage.exe" /Action:DeployReport /SourceFile:./Our.Database.dacpac /Profile:./Release.publish.xml /OutputPath:./ChangesToDeploy.xml      You might get some warnings on Log and Data file like I did. You can ignore them. Also, the tool is warning about data loss when removing a column from a table. By default, the publish.xml options will prevent you from deploying when data loss is occuring (see the BlockOnPossibleDataLoss inside the publish.xml file). Before actual deployment, take time to carefully review the changes to be applied in the ChangesToDeploy.xml file.    When you are satisfied, you can deploy your changes with the following command : "SqlDacRuntime/SqlPackage.exe" /Action:Publish /SourceFile:./Our.Database.dacpac /Profile:./Release.publish.xml   Et voilà !  Your dacpac file has been deployed to your database. I’ve been testing this on a SQL 2008 Server (not R2) but it should work on 2005, 2008 R2 and 2012 as well.   Many thanks to Anuj Chaudhary for his article on the subject : http://www.anujchaudhary.com/2012/08/sqlpackageexe-automating-ssdt-deployment.html

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  • C#: Does an IDisposable in a Halted Iterator Dispose?

    - by James Michael Hare
    If that sounds confusing, let me give you an example. Let's say you expose a method to read a database of products, and instead of returning a List<Product> you return an IEnumerable<Product> in iterator form (yield return). This accomplishes several good things: The IDataReader is not passed out of the Data Access Layer which prevents abstraction leak and resource leak potentials. You don't need to construct a full List<Product> in memory (which could be very big) if you just want to forward iterate once. If you only want to consume up to a certain point in the list, you won't incur the database cost of looking up the other items. This could give us an example like: 1: // a sample data access object class to do standard CRUD operations. 2: public class ProductDao 3: { 4: private DbProviderFactory _factory = SqlClientFactory.Instance 5:  6: // a method that would retrieve all available products 7: public IEnumerable<Product> GetAvailableProducts() 8: { 9: // must create the connection 10: using (var con = _factory.CreateConnection()) 11: { 12: con.ConnectionString = _productsConnectionString; 13: con.Open(); 14:  15: // create the command 16: using (var cmd = _factory.CreateCommand()) 17: { 18: cmd.Connection = con; 19: cmd.CommandText = _getAllProductsStoredProc; 20: cmd.CommandType = CommandType.StoredProcedure; 21:  22: // get a reader and pass back all results 23: using (var reader = cmd.ExecuteReader()) 24: { 25: while(reader.Read()) 26: { 27: yield return new Product 28: { 29: Name = reader["product_name"].ToString(), 30: ... 31: }; 32: } 33: } 34: } 35: } 36: } 37: } The database details themselves are irrelevant. I will say, though, that I'm a big fan of using the System.Data.Common classes instead of your provider specific counterparts directly (SqlCommand, OracleCommand, etc). This lets you mock your data sources easily in unit testing and also allows you to swap out your provider in one line of code. In fact, one of the shared components I'm most proud of implementing was our group's DatabaseUtility library that simplifies all the database access above into one line of code in a thread-safe and provider-neutral way. I went with my own flavor instead of the EL due to the fact I didn't want to force internal company consumers to use the EL if they didn't want to, and it made it easy to allow them to mock their database for unit testing by providing a MockCommand, MockConnection, etc that followed the System.Data.Common model. One of these days I'll blog on that if anyone's interested. Regardless, you often have situations like the above where you are consuming and iterating through a resource that must be closed once you are finished iterating. For the reasons stated above, I didn't want to return IDataReader (that would force them to remember to Dispose it), and I didn't want to return List<Product> (that would force them to hold all products in memory) -- but the first time I wrote this, I was worried. What if you never consume the last item and exit the loop? Are the reader, command, and connection all disposed correctly? Of course, I was 99.999999% sure the creators of C# had already thought of this and taken care of it, but inspection in Reflector was difficult due to the nature of the state machines yield return generates, so I decided to try a quick example program to verify whether or not Dispose() will be called when an iterator is broken from outside the iterator itself -- i.e. before the iterator reports there are no more items. So I wrote a quick Sequencer class with a Dispose() method and an iterator for it. Yes, it is COMPLETELY contrived: 1: // A disposable sequence of int -- yes this is completely contrived... 2: internal class Sequencer : IDisposable 3: { 4: private int _i = 0; 5: private readonly object _mutex = new object(); 6:  7: // Constructs an int sequence. 8: public Sequencer(int start) 9: { 10: _i = start; 11: } 12:  13: // Gets the next integer 14: public int GetNext() 15: { 16: lock (_mutex) 17: { 18: return _i++; 19: } 20: } 21:  22: // Dispose the sequence of integers. 23: public void Dispose() 24: { 25: // force output immediately (flush the buffer) 26: Console.WriteLine("Disposed with last sequence number of {0}!", _i); 27: Console.Out.Flush(); 28: } 29: } And then I created a generator (infinite-loop iterator) that did the using block for auto-Disposal: 1: // simply defines an extension method off of an int to start a sequence 2: public static class SequencerExtensions 3: { 4: // generates an infinite sequence starting at the specified number 5: public static IEnumerable<int> GetSequence(this int starter) 6: { 7: // note the using here, will call Dispose() when block terminated. 8: using (var seq = new Sequencer(starter)) 9: { 10: // infinite loop on this generator, means must be bounded by caller! 11: while(true) 12: { 13: yield return seq.GetNext(); 14: } 15: } 16: } 17: } This is really the same conundrum as the database problem originally posed. Here we are using iteration (yield return) over a large collection (infinite sequence of integers). If we cut the sequence short by breaking iteration, will that using block exit and hence, Dispose be called? Well, let's see: 1: // The test program class 2: public class IteratorTest 3: { 4: // The main test method. 5: public static void Main() 6: { 7: Console.WriteLine("Going to consume 10 of infinite items"); 8: Console.Out.Flush(); 9:  10: foreach(var i in 0.GetSequence()) 11: { 12: // could use TakeWhile, but wanted to output right at break... 13: if(i >= 10) 14: { 15: Console.WriteLine("Breaking now!"); 16: Console.Out.Flush(); 17: break; 18: } 19:  20: Console.WriteLine(i); 21: Console.Out.Flush(); 22: } 23:  24: Console.WriteLine("Done with loop."); 25: Console.Out.Flush(); 26: } 27: } So, what do we see? Do we see the "Disposed" message from our dispose, or did the Dispose get skipped because from an "eyeball" perspective we should be locked in that infinite generator loop? Here's the results: 1: Going to consume 10 of infinite items 2: 0 3: 1 4: 2 5: 3 6: 4 7: 5 8: 6 9: 7 10: 8 11: 9 12: Breaking now! 13: Disposed with last sequence number of 11! 14: Done with loop. Yes indeed, when we break the loop, the state machine that C# generates for yield iterate exits the iteration through the using blocks and auto-disposes the IDisposable correctly. I must admit, though, the first time I wrote one, I began to wonder and that led to this test. If you've never seen iterators before (I wrote a previous entry here) the infinite loop may throw you, but you have to keep in mind it is not a linear piece of code, that every time you hit a "yield return" it cedes control back to the state machine generated for the iterator. And this state machine, I'm happy to say, is smart enough to clean up the using blocks correctly. I suspected those wily guys and gals at Microsoft engineered it well, and I wasn't disappointed. But, I've been bitten by assumptions before, so it's good to test and see. Yes, maybe you knew it would or figured it would, but isn't it nice to know? And as those campy 80s G.I. Joe cartoon public service reminders always taught us, "Knowing is half the battle...". Technorati Tags: C#,.NET

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  • C#: LINQ vs foreach - Round 1.

    - by James Michael Hare
    So I was reading Peter Kellner's blog entry on Resharper 5.0 and its LINQ refactoring and thought that was very cool.  But that raised a point I had always been curious about in my head -- which is a better choice: manual foreach loops or LINQ?    The answer is not really clear-cut.  There are two sides to any code cost arguments: performance and maintainability.  The first of these is obvious and quantifiable.  Given any two pieces of code that perform the same function, you can run them side-by-side and see which piece of code performs better.   Unfortunately, this is not always a good measure.  Well written assembly language outperforms well written C++ code, but you lose a lot in maintainability which creates a big techncial debt load that is hard to offset as the application ages.  In contrast, higher level constructs make the code more brief and easier to understand, hence reducing technical cost.   Now, obviously in this case we're not talking two separate languages, we're comparing doing something manually in the language versus using a higher-order set of IEnumerable extensions that are in the System.Linq library.   Well, before we discuss any further, let's look at some sample code and the numbers.  First, let's take a look at the for loop and the LINQ expression.  This is just a simple find comparison:       // find implemented via LINQ     public static bool FindViaLinq(IEnumerable<int> list, int target)     {         return list.Any(item => item == target);     }         // find implemented via standard iteration     public static bool FindViaIteration(IEnumerable<int> list, int target)     {         foreach (var i in list)         {             if (i == target)             {                 return true;             }         }           return false;     }   Okay, looking at this from a maintainability point of view, the Linq expression is definitely more concise (8 lines down to 1) and is very readable in intention.  You don't have to actually analyze the behavior of the loop to determine what it's doing.   So let's take a look at performance metrics from 100,000 iterations of these methods on a List<int> of varying sizes filled with random data.  For this test, we fill a target array with 100,000 random integers and then run the exact same pseudo-random targets through both searches.                       List<T> On 100,000 Iterations     Method      Size     Total (ms)  Per Iteration (ms)  % Slower     Any         10       26          0.00046             30.00%     Iteration   10       20          0.00023             -     Any         100      116         0.00201             18.37%     Iteration   100      98          0.00118             -     Any         1000     1058        0.01853             16.78%     Iteration   1000     906         0.01155             -     Any         10,000   10,383      0.18189             17.41%     Iteration   10,000   8843        0.11362             -     Any         100,000  104,004     1.8297              18.27%     Iteration   100,000  87,941      1.13163             -   The LINQ expression is running about 17% slower for average size collections and worse for smaller collections.  Presumably, this is due to the overhead of the state machine used to track the iterators for the yield returns in the LINQ expressions, which seems about right in a tight loop such as this.   So what about other LINQ expressions?  After all, Any() is one of the more trivial ones.  I decided to try the TakeWhile() algorithm using a Count() to get the position stopped like the sample Pete was using in his blog that Resharper refactored for him into LINQ:       // Linq form     public static int GetTargetPosition1(IEnumerable<int> list, int target)     {         return list.TakeWhile(item => item != target).Count();     }       // traditionally iterative form     public static int GetTargetPosition2(IEnumerable<int> list, int target)     {         int count = 0;           foreach (var i in list)         {             if(i == target)             {                 break;             }               ++count;         }           return count;     }   Once again, the LINQ expression is much shorter, easier to read, and should be easier to maintain over time, reducing the cost of technical debt.  So I ran these through the same test data:                       List<T> On 100,000 Iterations     Method      Size     Total (ms)  Per Iteration (ms)  % Slower     TakeWhile   10       41          0.00041             128%     Iteration   10       18          0.00018             -     TakeWhile   100      171         0.00171             88%     Iteration   100      91          0.00091             -     TakeWhile   1000     1604        0.01604             94%     Iteration   1000     825         0.00825             -     TakeWhile   10,000   15765       0.15765             92%     Iteration   10,000   8204        0.08204             -     TakeWhile   100,000  156950      1.5695              92%     Iteration   100,000  81635       0.81635             -     Wow!  I expected some overhead due to the state machines iterators produce, but 90% slower?  That seems a little heavy to me.  So then I thought, well, what if TakeWhile() is not the right tool for the job?  The problem is TakeWhile returns each item for processing using yield return, whereas our for-loop really doesn't care about the item beyond using it as a stop condition to evaluate. So what if that back and forth with the iterator state machine is the problem?  Well, we can quickly create an (albeit ugly) lambda that uses the Any() along with a count in a closure (if a LINQ guru knows a better way PLEASE let me know!), after all , this is more consistent with what we're trying to do, we're trying to find the first occurence of an item and halt once we find it, we just happen to be counting on the way.  This mostly matches Any().       // a new method that uses linq but evaluates the count in a closure.     public static int TakeWhileViaLinq2(IEnumerable<int> list, int target)     {         int count = 0;         list.Any(item =>             {                 if(item == target)                 {                     return true;                 }                   ++count;                 return false;             });         return count;     }     Now how does this one compare?                         List<T> On 100,000 Iterations     Method         Size     Total (ms)  Per Iteration (ms)  % Slower     TakeWhile      10       41          0.00041             128%     Any w/Closure  10       23          0.00023             28%     Iteration      10       18          0.00018             -     TakeWhile      100      171         0.00171             88%     Any w/Closure  100      116         0.00116             27%     Iteration      100      91          0.00091             -     TakeWhile      1000     1604        0.01604             94%     Any w/Closure  1000     1101        0.01101             33%     Iteration      1000     825         0.00825             -     TakeWhile      10,000   15765       0.15765             92%     Any w/Closure  10,000   10802       0.10802             32%     Iteration      10,000   8204        0.08204             -     TakeWhile      100,000  156950      1.5695              92%     Any w/Closure  100,000  108378      1.08378             33%     Iteration      100,000  81635       0.81635             -     Much better!  It seems that the overhead of TakeAny() returning each item and updating the state in the state machine is drastically reduced by using Any() since Any() iterates forward until it finds the value we're looking for -- for the task we're attempting to do.   So the lesson there is, make sure when you use a LINQ expression you're choosing the best expression for the job, because if you're doing more work than you really need, you'll have a slower algorithm.  But this is true of any choice of algorithm or collection in general.     Even with the Any() with the count in the closure it is still about 30% slower, but let's consider that angle carefully.  For a list of 100,000 items, it was the difference between 1.01 ms and 0.82 ms roughly in a List<T>.  That's really not that bad at all in the grand scheme of things.  Even running at 90% slower with TakeWhile(), for the vast majority of my projects, an extra millisecond to save potential errors in the long term and improve maintainability is a small price to pay.  And if your typical list is 1000 items or less we're talking only microseconds worth of difference.   It's like they say: 90% of your performance bottlenecks are in 2% of your code, so over-optimizing almost never pays off.  So personally, I'll take the LINQ expression wherever I can because they will be easier to read and maintain (thus reducing technical debt) and I can rely on Microsoft's development to have coded and unit tested those algorithm fully for me instead of relying on a developer to code the loop logic correctly.   If something's 90% slower, yes, it's worth keeping in mind, but it's really not until you start get magnitudes-of-order slower (10x, 100x, 1000x) that alarm bells should really go off.  And if I ever do need that last millisecond of performance?  Well then I'll optimize JUST THAT problem spot.  To me it's worth it for the readability, speed-to-market, and maintainability.

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  • How can I change the size of the Dash font?

    - by Marcos Roriz
    I've just installed and configured Ubuntu 12.04 on my machine. I've changed all font sizes, with the myunity tool, and they're now all set to the Ubuntu font size 9. However, I can't find anywhere in Ubuntu a way to change the HUGE dash search/UI font. Any idea on where I can change it? Any dconf/gconf setting option? Here are some screenshots, compare the size of the dash fonts to desktops apps. Dash font: Desktop font:

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  • Mind the gap, the latest version number for SQL Server 2008 R2 is....

    - by ssqa.net
    Since the news about SQL Server 2008 R2 RTM is publicised I have downloaded and installed the Evaluation edition and R2 Express edition. You can also download SQL Server 2008 R2 RTM - Management Studio Express (with pre-registration) The Microsoft® SQL Server® 2008 R2 RTM - Express is a powerful and reliable data management system that delivers a rich set of features, data protection, and performance for embedded applications, lightweight Web applications, and local data stores. Designed for easy...(read more)

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  • Web Development Services - Contribution of Programming and Testing

    Web Development Services include development of basic websites to highly complex and structured websites. Earlier local personal computer revolutionized the market and started offering application to cater all user needs but their mission and vision lacked the flexibility. Hence loop was filled after World Wide Web invented.

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  • SQL SERVER – Weekly Series – Memory Lane – #052

    - by Pinal Dave
    Let us continue with the final episode of the Memory Lane Series. Here is the list of selected articles of SQLAuthority.com across all these years. Instead of just listing all the articles I have selected a few of my most favorite articles and have listed them here with additional notes below it. Let me know which one of the following is your favorite article from memory lane. 2007 Set Server Level FILLFACTOR Using T-SQL Script Specifies a percentage that indicates how full the Database Engine should make the leaf level of each index page during index creation or alteration. fillfactor must be an integer value from 1 to 100. The default is 0. Limitation of Online Index Rebuld Operation Online operation means when online operations are happening in the database are in normal operational condition, the processes which are participating in online operations does not require exclusive access to the database. Get Permissions of My Username / Userlogin on Server / Database A few days ago, I was invited to one of the largest database company. I was asked to review database schema and propose changes to it. There was special username or user logic was created for me, so I can review their database. I was very much interested to know what kind of permissions I was assigned per server level and database level. I did not feel like asking Sr. DBA the question about permissions. Simple Example of WHILE Loop With CONTINUE and BREAK Keywords This question is one of those questions which is very simple and most of the users get it correct, however few users find it confusing for the first time. I have tried to explain the usage of simple WHILE loop in the first example. BREAK keyword will exit the stop the while loop and control is moved to the next statement after the while loop. CONTINUE keyword skips all the statement after its execution and control is sent to the first statement of while loop. Forced Parameterization and Simple Parameterization – T-SQL and SSMS When the PARAMETERIZATION option is set to FORCED, any literal value that appears in a SELECT, INSERT, UPDATE or DELETE statement is converted to a parameter during query compilation. When the PARAMETERIZATION database option is SET to SIMPLE, the SQL Server query optimizer may choose to parameterize the queries. 2008 Transaction and Local Variables – Swap Variables – Update All At Once Concept Summary : Transaction have no effect over memory variables. When UPDATE statement is applied over any table (physical or memory) all the updates are applied at one time together when the statement is committed. First of all I suggest that you read the article listed above about the effect of transaction on local variant. As seen there local variables are independent of any transaction effect. Simulate INNER JOIN using LEFT JOIN statement – Performance Analysis Just a day ago, while I was working with JOINs I find one interesting observation, which has prompted me to create following example. Before we continue further let me make very clear that INNER JOIN should be used where it cannot be used and simulating INNER JOIN using any other JOINs will degrade the performance. If there are scopes to convert any OUTER JOIN to INNER JOIN it should be done with priority. 2009 Introduction to Business Intelligence – Important Terms & Definitions Business intelligence (BI) is a broad category of application programs and technologies for gathering, storing, analyzing, and providing access to data from various data sources, thus providing enterprise users with reliable and timely information and analysis for improved decision making. Difference Between Candidate Keys and Primary Key Candidate Key – A Candidate Key can be any column or a combination of columns that can qualify as unique key in database. There can be multiple Candidate Keys in one table. Each Candidate Key can qualify as Primary Key. Primary Key – A Primary Key is a column or a combination of columns that uniquely identify a record. Only one Candidate Key can be Primary Key. 2010 Taking Multiple Backup of Database in Single Command – Mirrored Database Backup I recently had a very interesting experience. In one of my recent consultancy works, I was told by our client that they are going to take the backup of the database and will also a copy of it at the same time. I expressed that it was surely possible if they were going to use a mirror command. In addition, they told me that whenever they take two copies of the database, the size of the database, is always reduced. Now this was something not clear to me, I said it was not possible and so I asked them to show me the script. Corrupted Backup File and Unsuccessful Restore The CTO, who was also present at the location, got very upset with this situation. He then asked when the last successful restore test was done. As expected, the answer was NEVER.There were no successful restore tests done before. During that time, I was present and I could clearly see the stress, confusion, carelessness and anger around me. I did not appreciate the feeling and I was pretty sure that no one in there wanted the atmosphere like me. 2011 TRACEWRITE – Wait Type – Wait Related to Buffer and Resolution SQL Trace is a SQL Server database engine technology which monitors specific events generated when various actions occur in the database engine. When any event is fired it goes through various stages as well various routes. One of the routes is Trace I/O Provider, which sends data to its final destination either as a file or rowset. DATEDIFF – Accuracy of Various Dateparts If you want to have accuracy in seconds, you need to use a different approach. In the first example, the accurate method is to find the number of seconds first and then divide it by 60 to convert it in minutes. Dedicated Access Control for SQL Server Express Edition http://www.youtube.com/watch?v=1k00z82u4OI Book Signing at SQLPASS 2012 Who I Am And How I Got Here – True Story as Blog Post If there was a shortcut to success – I want to know. I learnt SQL Server hard way and I am still learning. There are so many things, I have to learn. There is not enough time to learn everything which we want to learn. I am constantly working on it every day. I welcome you to join my journey as well. Please join me in my journey to learn SQL Server – more the merrier. Vacation, Travel and Study – A New Concept Even those who have advanced degrees and went to college for years, or even decades, find studying hard.  There is a difference between studying for a career and studying for a certification.  At least to get a degree there is a variety of subjects, with labs, exams, and practice problems to make things more interesting. Order By Numeric Values Formatted as String We have a table which has a column containing alphanumeric data. The data always has first as an integer and later part as a string. The business need is to order the data based on the first part of the alphanumeric data which is an integer. Now the problem is that no matter how we use ORDER BY the result is not produced as expected. Let us understand this with an example. Resolving SQL Server Connection Errors – SQL in Sixty Seconds #030 – Video One of the most famous errors related to SQL Server is about connecting to SQL Server itself. Here is how it goes, most of the time developers have worked with SQL Server and knows pretty much every error which they face during development language. However, hardly they install fresh SQL Server. As the installation of the SQL Server is a rare occasion unless you are a DBA who is responsible for such an instance – the error faced during installations are pretty rare as well. http://www.youtube.com/watch?v=1k00z82u4OI Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Memory Lane, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL, Technology

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  • Using Stub Objects

    - by user9154181
    Having told the long and winding tale of where stub objects came from and how we use them to build Solaris, I'd like to focus now on the the nuts and bolts of building and using them. The following new features were added to the Solaris link-editor (ld) to support the production and use of stub objects: -z stub This new command line option informs ld that it is to build a stub object rather than a normal object. In this mode, it accepts the same command line arguments as usual, but will quietly ignore any objects and sharable object dependencies. STUB_OBJECT Mapfile Directive In order to build a stub version of an object, its mapfile must specify the STUB_OBJECT directive. When producing a non-stub object, the presence of STUB_OBJECT causes the link-editor to perform extra validation to ensure that the stub and non-stub objects will be compatible. ASSERT Mapfile Directive All data symbols exported from the object must have an ASSERT symbol directive in the mapfile that declares them as data and supplies the size, binding, bss attributes, and symbol aliasing details. When building the stub objects, the information in these ASSERT directives is used to create the data symbols. When building the real object, these ASSERT directives will ensure that the real object matches the linking interface presented by the stub. Although ASSERT was added to the link-editor in order to support stub objects, they are a general purpose feature that can be used independently of stub objects. For instance you might choose to use an ASSERT directive if you have a symbol that must have a specific address in order for the object to operate properly and you want to automatically ensure that this will always be the case. The material presented here is derived from a document I originally wrote during the development effort, which had the dual goals of providing supplemental materials for the stub object PSARC case, and as a set of edits that were eventually applied to the Oracle Solaris Linker and Libraries Manual (LLM). The Solaris 11 LLM contains this information in a more polished form. Stub Objects A stub object is a shared object, built entirely from mapfiles, that supplies the same linking interface as the real object, while containing no code or data. Stub objects cannot be used at runtime. However, an application can be built against a stub object, where the stub object provides the real object name to be used at runtime, and then use the real object at runtime. When building a stub object, the link-editor ignores any object or library files specified on the command line, and these files need not exist in order to build a stub. Since the compilation step can be omitted, and because the link-editor has relatively little work to do, stub objects can be built very quickly. Stub objects can be used to solve a variety of build problems: Speed Modern machines, using a version of make with the ability to parallelize operations, are capable of compiling and linking many objects simultaneously, and doing so offers significant speedups. However, it is typical that a given object will depend on other objects, and that there will be a core set of objects that nearly everything else depends on. It is necessary to impose an ordering that builds each object before any other object that requires it. This ordering creates bottlenecks that reduce the amount of parallelization that is possible and limits the overall speed at which the code can be built. Complexity/Correctness In a large body of code, there can be a large number of dependencies between the various objects. The makefiles or other build descriptions for these objects can become very complex and difficult to understand or maintain. The dependencies can change as the system evolves. This can cause a given set of makefiles to become slightly incorrect over time, leading to race conditions and mysterious rare build failures. Dependency Cycles It might be desirable to organize code as cooperating shared objects, each of which draw on the resources provided by the other. Such cycles cannot be supported in an environment where objects must be built before the objects that use them, even though the runtime linker is fully capable of loading and using such objects if they could be built. Stub shared objects offer an alternative method for building code that sidesteps the above issues. Stub objects can be quickly built for all the shared objects produced by the build. Then, all the real shared objects and executables can be built in parallel, in any order, using the stub objects to stand in for the real objects at link-time. Afterwards, the executables and real shared objects are kept, and the stub shared objects are discarded. Stub objects are built from a mapfile, which must satisfy the following requirements. The mapfile must specify the STUB_OBJECT directive. This directive informs the link-editor that the object can be built as a stub object, and as such causes the link-editor to perform validation and sanity checking intended to guarantee that an object and its stub will always provide identical linking interfaces. All function and data symbols that make up the external interface to the object must be explicitly listed in the mapfile. The mapfile must use symbol scope reduction ('*'), to remove any symbols not explicitly listed from the external interface. All global data exported from the object must have an ASSERT symbol attribute in the mapfile to specify the symbol type, size, and bss attributes. In the case where there are multiple symbols that reference the same data, the ASSERT for one of these symbols must specify the TYPE and SIZE attributes, while the others must use the ALIAS attribute to reference this primary symbol. Given such a mapfile, the stub and real versions of the shared object can be built using the same command line for each, adding the '-z stub' option to the link for the stub object, and omiting the option from the link for the real object. To demonstrate these ideas, the following code implements a shared object named idx5, which exports data from a 5 element array of integers, with each element initialized to contain its zero-based array index. This data is available as a global array, via an alternative alias data symbol with weak binding, and via a functional interface. % cat idx5.c int _idx5[5] = { 0, 1, 2, 3, 4 }; #pragma weak idx5 = _idx5 int idx5_func(int index) { if ((index 4)) return (-1); return (_idx5[index]); } A mapfile is required to describe the interface provided by this shared object. % cat mapfile $mapfile_version 2 STUB_OBJECT; SYMBOL_SCOPE { _idx5 { ASSERT { TYPE=data; SIZE=4[5] }; }; idx5 { ASSERT { BINDING=weak; ALIAS=_idx5 }; }; idx5_func; local: *; }; The following main program is used to print all the index values available from the idx5 shared object. % cat main.c #include <stdio.h> extern int _idx5[5], idx5[5], idx5_func(int); int main(int argc, char **argv) { int i; for (i = 0; i The following commands create a stub version of this shared object in a subdirectory named stublib. elfdump is used to verify that the resulting object is a stub. The command used to build the stub differs from that of the real object only in the addition of the -z stub option, and the use of a different output file name. This demonstrates the ease with which stub generation can be added to an existing makefile. % cc -Kpic -G -M mapfile -h libidx5.so.1 idx5.c -o stublib/libidx5.so.1 -zstub % ln -s libidx5.so.1 stublib/libidx5.so % elfdump -d stublib/libidx5.so | grep STUB [11] FLAGS_1 0x4000000 [ STUB ] The main program can now be built, using the stub object to stand in for the real shared object, and setting a runpath that will find the real object at runtime. However, as we have not yet built the real object, this program cannot yet be run. Attempts to cause the system to load the stub object are rejected, as the runtime linker knows that stub objects lack the actual code and data found in the real object, and cannot execute. % cc main.c -L stublib -R '$ORIGIN/lib' -lidx5 -lc % ./a.out ld.so.1: a.out: fatal: libidx5.so.1: open failed: No such file or directory Killed % LD_PRELOAD=stublib/libidx5.so.1 ./a.out ld.so.1: a.out: fatal: stublib/libidx5.so.1: stub shared object cannot be used at runtime Killed We build the real object using the same command as we used to build the stub, omitting the -z stub option, and writing the results to a different file. % cc -Kpic -G -M mapfile -h libidx5.so.1 idx5.c -o lib/libidx5.so.1 Once the real object has been built in the lib subdirectory, the program can be run. % ./a.out [0] 0 0 0 [1] 1 1 1 [2] 2 2 2 [3] 3 3 3 [4] 4 4 4 Mapfile Changes The version 2 mapfile syntax was extended in a number of places to accommodate stub objects. Conditional Input The version 2 mapfile syntax has the ability conditionalize mapfile input using the $if control directive. As you might imagine, these directives are used frequently with ASSERT directives for data, because a given data symbol will frequently have a different size in 32 or 64-bit code, or on differing hardware such as x86 versus sparc. The link-editor maintains an internal table of names that can be used in the logical expressions evaluated by $if and $elif. At startup, this table is initialized with items that describe the class of object (_ELF32 or _ELF64) and the type of the target machine (_sparc or _x86). We found that there were a small number of cases in the Solaris code base in which we needed to know what kind of object we were producing, so we added the following new predefined items in order to address that need: NameMeaning ...... _ET_DYNshared object _ET_EXECexecutable object _ET_RELrelocatable object ...... STUB_OBJECT Directive The new STUB_OBJECT directive informs the link-editor that the object described by the mapfile can be built as a stub object. STUB_OBJECT; A stub shared object is built entirely from the information in the mapfiles supplied on the command line. When the -z stub option is specified to build a stub object, the presence of the STUB_OBJECT directive in a mapfile is required, and the link-editor uses the information in symbol ASSERT attributes to create global symbols that match those of the real object. When the real object is built, the presence of STUB_OBJECT causes the link-editor to verify that the mapfiles accurately describe the real object interface, and that a stub object built from them will provide the same linking interface as the real object it represents. All function and data symbols that make up the external interface to the object must be explicitly listed in the mapfile. The mapfile must use symbol scope reduction ('*'), to remove any symbols not explicitly listed from the external interface. All global data in the object is required to have an ASSERT attribute that specifies the symbol type and size. If the ASSERT BIND attribute is not present, the link-editor provides a default assertion that the symbol must be GLOBAL. If the ASSERT SH_ATTR attribute is not present, or does not specify that the section is one of BITS or NOBITS, the link-editor provides a default assertion that the associated section is BITS. All data symbols that describe the same address and size are required to have ASSERT ALIAS attributes specified in the mapfile. If aliased symbols are discovered that do not have an ASSERT ALIAS specified, the link fails and no object is produced. These rules ensure that the mapfiles contain a description of the real shared object's linking interface that is sufficient to produce a stub object with a completely compatible linking interface. SYMBOL_SCOPE/SYMBOL_VERSION ASSERT Attribute The SYMBOL_SCOPE and SYMBOL_VERSION mapfile directives were extended with a symbol attribute named ASSERT. The syntax for the ASSERT attribute is as follows: ASSERT { ALIAS = symbol_name; BINDING = symbol_binding; TYPE = symbol_type; SH_ATTR = section_attributes; SIZE = size_value; SIZE = size_value[count]; }; The ASSERT attribute is used to specify the expected characteristics of the symbol. The link-editor compares the symbol characteristics that result from the link to those given by ASSERT attributes. If the real and asserted attributes do not agree, a fatal error is issued and the output object is not created. In normal use, the link editor evaluates the ASSERT attribute when present, but does not require them, or provide default values for them. The presence of the STUB_OBJECT directive in a mapfile alters the interpretation of ASSERT to require them under some circumstances, and to supply default assertions if explicit ones are not present. See the definition of the STUB_OBJECT Directive for the details. When the -z stub command line option is specified to build a stub object, the information provided by ASSERT attributes is used to define the attributes of the global symbols provided by the object. ASSERT accepts the following: ALIAS Name of a previously defined symbol that this symbol is an alias for. An alias symbol has the same type, value, and size as the main symbol. The ALIAS attribute is mutually exclusive to the TYPE, SIZE, and SH_ATTR attributes, and cannot be used with them. When ALIAS is specified, the type, size, and section attributes are obtained from the alias symbol. BIND Specifies an ELF symbol binding, which can be any of the STB_ constants defined in <sys/elf.h>, with the STB_ prefix removed (e.g. GLOBAL, WEAK). TYPE Specifies an ELF symbol type, which can be any of the STT_ constants defined in <sys/elf.h>, with the STT_ prefix removed (e.g. OBJECT, COMMON, FUNC). In addition, for compatibility with other mapfile usage, FUNCTION and DATA can be specified, for STT_FUNC and STT_OBJECT, respectively. TYPE is mutually exclusive to ALIAS, and cannot be used in conjunction with it. SH_ATTR Specifies attributes of the section associated with the symbol. The section_attributes that can be specified are given in the following table: Section AttributeMeaning BITSSection is not of type SHT_NOBITS NOBITSSection is of type SHT_NOBITS SH_ATTR is mutually exclusive to ALIAS, and cannot be used in conjunction with it. SIZE Specifies the expected symbol size. SIZE is mutually exclusive to ALIAS, and cannot be used in conjunction with it. The syntax for the size_value argument is as described in the discussion of the SIZE attribute below. SIZE The SIZE symbol attribute existed before support for stub objects was introduced. It is used to set the size attribute of a given symbol. This attribute results in the creation of a symbol definition. Prior to the introduction of the ASSERT SIZE attribute, the value of a SIZE attribute was always numeric. While attempting to apply ASSERT SIZE to the objects in the Solaris ON consolidation, I found that many data symbols have a size based on the natural machine wordsize for the class of object being produced. Variables declared as long, or as a pointer, will be 4 bytes in size in a 32-bit object, and 8 bytes in a 64-bit object. Initially, I employed the conditional $if directive to handle these cases as follows: $if _ELF32 foo { ASSERT { TYPE=data; SIZE=4 } }; bar { ASSERT { TYPE=data; SIZE=20 } }; $elif _ELF64 foo { ASSERT { TYPE=data; SIZE=8 } }; bar { ASSERT { TYPE=data; SIZE=40 } }; $else $error UNKNOWN ELFCLASS $endif I found that the situation occurs frequently enough that this is cumbersome. To simplify this case, I introduced the idea of the addrsize symbolic name, and of a repeat count, which together make it simple to specify machine word scalar or array symbols. Both the SIZE, and ASSERT SIZE attributes support this syntax: The size_value argument can be a numeric value, or it can be the symbolic name addrsize. addrsize represents the size of a machine word capable of holding a memory address. The link-editor substitutes the value 4 for addrsize when building 32-bit objects, and the value 8 when building 64-bit objects. addrsize is useful for representing the size of pointer variables and C variables of type long, as it automatically adjusts for 32 and 64-bit objects without requiring the use of conditional input. The size_value argument can be optionally suffixed with a count value, enclosed in square brackets. If count is present, size_value and count are multiplied together to obtain the final size value. Using this feature, the example above can be written more naturally as: foo { ASSERT { TYPE=data; SIZE=addrsize } }; bar { ASSERT { TYPE=data; SIZE=addrsize[5] } }; Exported Global Data Is Still A Bad Idea As you can see, the additional plumbing added to the Solaris link-editor to support stub objects is minimal. Furthermore, about 90% of that plumbing is dedicated to handling global data. We have long advised against global data exported from shared objects. There are many ways in which global data does not fit well with dynamic linking. Stub objects simply provide one more reason to avoid this practice. It is always better to export all data via a functional interface. You should always hide your data, and make it available to your users via a function that they can call to acquire the address of the data item. However, If you do have to support global data for a stub, perhaps because you are working with an already existing object, it is still easilily done, as shown above. Oracle does not like us to discuss hypothetical new features that don't exist in shipping product, so I'll end this section with a speculation. It might be possible to do more in this area to ease the difficulty of dealing with objects that have global data that the users of the library don't need. Perhaps someday... Conclusions It is easy to create stub objects for most objects. If your library only exports function symbols, all you have to do to build a faithful stub object is to add STUB_OBJECT; and then to use the same link command you're currently using, with the addition of the -z stub option. Happy Stubbing!

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  • What is hogging my connection?

    - by SF.
    At times it seems like dozens, if not hundreds of root-owned HTTP connections spring up. This is not much of a problem on LAN or WLAN as each of them seems to transfer very little, but if I use GPRS link, my ping times go into minutes (seriously, 80000ms is not infrequent!) and all connections grind to a halt waiting till these end. This usually lasts some 15 minutes and ends about when I start troubleshooting it for real. I've managed to capture a fragment of Nethogs output NetHogs version 0.8.0 PID USER PROGRAM DEV SENT RECEIVED ? root 37.209.147.180:59854-141.101.114.59:80 0.013 0.000 KB/sec ? root 37.209.147.180:59853-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:52804-173.194.70.95:80 0.000 0.000 KB/sec 1954 bw /home/bw/.dropbox-dist/dropbox ppp0 0.000 0.000 KB/sec ? root 37.209.147.180:59851-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:59850-141.101.114.59:80 0.000 0.000 KB/sec ? root 37.209.147.180:52801-173.194.70.95:80 0.000 0.000 KB/sec 13301 bw /usr/lib/firefox/firefox ppp0 0.000 0.000 KB/sec ? root unknown TCP 0.000 0.000 KB/sec Unfortunately, it doesn't display the owning process of these. Does anyone recognize these addresses or is able to suggest how to troubleshoot it further or disable it? Is it some automatic update or something like that? EDIT: per request; netstat -n, for obvious reason that normal netstat won't ever launch as all DNS requests are hogged just the same. netstat -n Active Internet connections (w/o servers) Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 1 93.154.166.62:51314 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44098 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59855 141.101.114.59:80 FIN_WAIT1 tcp 1 0 192.168.43.224:38237 213.189.45.39:443 CLOSE_WAIT tcp 1 0 93.154.146.186:35167 75.101.152.29:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32939 199.15.160.100:80 CLOSE_WAIT tcp 1 0 192.168.43.224:55619 63.245.217.207:443 CLOSE_WAIT tcp 1 0 93.154.146.186:60210 75.101.152.29:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32944 199.15.160.100:80 CLOSE_WAIT tcp 0 1 37.209.147.180:52804 173.194.70.95:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46606 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:52619 107.22.246.76:80 CLOSE_WAIT tcp 415 0 93.154.146.186:36156 82.112.106.104:80 CLOSE_WAIT tcp 1 0 93.154.146.186:50352 107.22.246.76:443 CLOSE_WAIT tcp 1 0 192.168.43.224:55000 213.189.45.44:443 CLOSE_WAIT tcp 0 1 37.209.147.180:59853 141.101.114.59:80 FIN_WAIT1 tcp 1 0 192.168.43.224:32937 199.15.160.100:80 CLOSE_WAIT tcp 1 0 192.168.43.224:56055 93.184.221.40:80 CLOSE_WAIT tcp 415 0 93.154.146.186:36155 82.112.106.104:80 CLOSE_WAIT tcp 0 1 37.209.147.180:44097 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:35166 75.101.152.29:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32943 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:46607 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:36422 23.21.151.181:443 CLOSE_WAIT tcp 1 0 192.168.43.224:36081 93.184.220.148:80 CLOSE_WAIT tcp 1 0 192.168.43.224:44462 213.189.45.29:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32938 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:36419 23.21.151.181:443 CLOSE_WAIT tcp 0 497 93.154.166.62:51313 198.252.206.16:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59851 141.101.114.59:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44095 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46611 23.21.151.181:80 CLOSE_WAIT tcp 1 0 192.168.43.224:38236 213.189.45.39:443 CLOSE_WAIT tcp 0 171 37.209.147.180:45341 173.194.113.146:443 ESTABLISHED tcp 0 1 37.209.147.180:52801 173.194.70.95:80 FIN_WAIT1 tcp 1 0 192.168.43.224:36080 93.184.220.148:80 CLOSE_WAIT tcp 0 1 37.209.147.180:59856 141.101.114.59:80 FIN_WAIT1 tcp 0 1 37.209.147.180:44096 198.252.206.16:80 FIN_WAIT1 tcp 0 1 93.154.166.62:57471 108.160.162.49:80 FIN_WAIT1 tcp 0 1 37.209.147.180:59854 141.101.114.59:80 FIN_WAIT1 tcp 0 171 37.209.147.180:45340 173.194.113.146:443 ESTABLISHED tcp 0 168 37.209.147.180:45334 173.194.113.146:443 FIN_WAIT1 tcp 1 0 93.154.146.186:46609 23.21.151.181:80 CLOSE_WAIT tcp 0 1248 93.154.166.62:58270 64.251.23.59:443 FIN_WAIT1 tcp 0 1 37.209.147.180:59850 141.101.114.59:80 FIN_WAIT1 tcp 1 0 93.154.146.186:35181 75.101.152.29:80 CLOSE_WAIT tcp 232 0 93.154.172.168:46384 198.252.206.25:80 ESTABLISHED tcp 1 0 93.154.146.186:52618 107.22.246.76:80 CLOSE_WAIT tcp 1 0 93.154.172.168:36298 173.194.69.95:443 CLOSE_WAIT tcp 1 0 93.154.146.186:60209 75.101.152.29:443 CLOSE_WAIT tcp 0 168 37.209.147.180:45335 173.194.113.146:443 FIN_WAIT1 tcp 415 0 93.154.146.186:36157 82.112.106.104:80 CLOSE_WAIT tcp 1 0 192.168.43.224:36082 93.184.220.148:80 CLOSE_WAIT tcp 1 0 192.168.43.224:32942 199.15.160.100:80 CLOSE_WAIT tcp 1 0 93.154.146.186:50350 107.22.246.76:443 CLOSE_WAIT tcp 1 0 192.168.43.224:32941 199.15.160.100:80 CLOSE_WAIT tcp 0 534 37.209.147.180:44089 198.252.206.16:80 FIN_WAIT1 tcp 1 0 93.154.146.186:46608 23.21.151.181:80 CLOSE_WAIT tcp 1 0 93.154.146.186:46612 23.21.151.181:80 CLOSE_WAIT udp 0 0 37.209.147.180:49057 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:51631 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:34827 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:35908 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:44106 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:42184 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:54485 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:42216 193.41.112.18:53 ESTABLISHED udp 0 0 37.209.147.180:51961 193.41.112.14:53 ESTABLISHED udp 0 0 37.209.147.180:48412 193.41.112.14:53 ESTABLISHED The interesting lines from ping got lost, but the summary over past few hours is: --- 8.8.8.8 ping statistics --- 107459 packets transmitted, 104376 received, +22 duplicates, 2% packet loss, time 195427362ms rtt min/avg/max/mdev = 24.822/528.132/90538.257/2519.263 ms, pipe 90 EDIT: Per request: Happened again, reboot didn't help but cleaned up all "hanging" processes. Currently netstat shows: bw@pony:/var/log$ netstat -n -t Active Internet connections (w/o servers) Proto Recv-Q Send-Q Local Address Foreign Address State tcp 0 0 93.154.188.68:42767 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:50270 173.194.69.189:443 ESTABLISHED tcp 0 0 93.154.188.68:45250 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:53488 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:53490 173.194.32.198:80 ESTABLISHED tcp 0 159 93.154.188.68:42741 74.125.239.143:443 LAST_ACK tcp 0 0 93.154.188.68:45808 198.252.206.25:80 ESTABLISHED tcp 0 0 93.154.188.68:52449 173.194.32.199:443 ESTABLISHED tcp 0 0 93.154.188.68:52600 173.194.32.199:443 TIME_WAIT tcp 0 0 93.154.188.68:50300 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:45253 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:46252 173.194.32.204:443 ESTABLISHED tcp 0 0 93.154.188.68:45246 190.93.244.58:80 ESTABLISHED tcp 0 0 93.154.188.68:47064 173.194.113.143:443 ESTABLISHED tcp 0 0 93.154.188.68:34484 173.194.69.95:443 ESTABLISHED tcp 0 0 93.154.188.68:45252 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:54290 173.194.32.202:443 ESTABLISHED tcp 0 0 93.154.188.68:47063 173.194.113.143:443 ESTABLISHED tcp 0 0 93.154.188.68:53469 173.194.32.198:80 TIME_WAIT tcp 0 0 93.154.188.68:45242 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:53468 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:50299 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:42764 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:45256 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:58047 108.160.162.105:80 ESTABLISHED tcp 0 0 93.154.188.68:45249 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:50297 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:53470 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:34100 68.232.35.121:443 ESTABLISHED tcp 0 0 93.154.188.68:42758 74.125.239.143:443 ESTABLISHED tcp 0 0 93.154.188.68:42765 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:39000 173.194.69.95:80 TIME_WAIT tcp 0 0 93.154.188.68:50296 173.194.69.189:443 TIME_WAIT tcp 0 0 93.154.188.68:53467 173.194.32.198:80 ESTABLISHED tcp 0 0 93.154.188.68:42766 74.125.239.143:443 TIME_WAIT tcp 0 0 93.154.188.68:45251 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:45248 190.93.244.58:80 TIME_WAIT tcp 0 0 93.154.188.68:45247 190.93.244.58:80 ESTABLISHED tcp 0 159 93.154.188.68:50254 173.194.69.189:443 LAST_ACK tcp 0 0 93.154.188.68:34483 173.194.69.95:443 ESTABLISHED Output of ps: USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.8 0.0 3628 2092 ? Ss 16:52 0:03 /sbin/init root 2 0.0 0.0 0 0 ? S 16:52 0:00 [kthreadd] root 3 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/0] root 4 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/0:0] root 6 0.0 0.0 0 0 ? S 16:52 0:00 [migration/0] root 7 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/0] root 8 0.0 0.0 0 0 ? S 16:52 0:00 [migration/1] root 10 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/1] root 11 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/1] root 12 0.0 0.0 0 0 ? S 16:52 0:00 [migration/2] root 14 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/2] root 15 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/2] root 16 0.0 0.0 0 0 ? S 16:52 0:00 [migration/3] root 17 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/3:0] root 18 0.1 0.0 0 0 ? S 16:52 0:00 [ksoftirqd/3] root 19 0.0 0.0 0 0 ? S 16:52 0:00 [watchdog/3] root 20 0.0 0.0 0 0 ? S< 16:52 0:00 [cpuset] root 21 0.0 0.0 0 0 ? S< 16:52 0:00 [khelper] root 22 0.0 0.0 0 0 ? S 16:52 0:00 [kdevtmpfs] root 23 0.0 0.0 0 0 ? S< 16:52 0:00 [netns] root 24 0.0 0.0 0 0 ? S 16:52 0:00 [sync_supers] root 25 0.0 0.0 0 0 ? S 16:52 0:00 [bdi-default] root 26 0.0 0.0 0 0 ? S< 16:52 0:00 [kintegrityd] root 27 0.0 0.0 0 0 ? S< 16:52 0:00 [kblockd] root 28 0.0 0.0 0 0 ? S< 16:52 0:00 [ata_sff] root 29 0.0 0.0 0 0 ? S 16:52 0:00 [khubd] root 30 0.0 0.0 0 0 ? S< 16:52 0:00 [md] root 42 0.0 0.0 0 0 ? S 16:52 0:00 [khungtaskd] root 43 0.0 0.0 0 0 ? S 16:52 0:00 [kswapd0] root 44 0.0 0.0 0 0 ? SN 16:52 0:00 [ksmd] root 45 0.0 0.0 0 0 ? SN 16:52 0:00 [khugepaged] root 46 0.0 0.0 0 0 ? S 16:52 0:00 [fsnotify_mark] root 47 0.0 0.0 0 0 ? S 16:52 0:00 [ecryptfs-kthrea] root 48 0.0 0.0 0 0 ? S< 16:52 0:00 [crypto] root 59 0.0 0.0 0 0 ? S< 16:52 0:00 [kthrotld] root 70 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/2:1] root 71 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_0] root 72 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_1] root 73 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_2] root 74 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_3] root 75 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/u:2] root 76 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/u:3] root 79 0.0 0.0 0 0 ? S 16:52 0:00 [kworker/1:1] root 99 0.0 0.0 0 0 ? S< 16:52 0:00 [deferwq] root 100 0.0 0.0 0 0 ? S< 16:52 0:00 [charger_manager] root 101 0.0 0.0 0 0 ? S< 16:52 0:00 [devfreq_wq] root 102 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/2:2] root 106 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_4] root 107 0.0 0.0 0 0 ? S 16:52 0:00 [usb-storage] root 108 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_5] root 109 0.0 0.0 0 0 ? S 16:52 0:00 [usb-storage] root 271 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/1:2] root 316 0.0 0.0 0 0 ? S 16:52 0:00 [jbd2/sda1-8] root 317 0.0 0.0 0 0 ? S< 16:52 0:00 [ext4-dio-unwrit] root 440 0.1 0.0 2820 608 ? S 16:52 0:00 upstart-udev-bridge --daemon root 478 0.0 0.0 3460 1648 ? Ss 16:52 0:00 /sbin/udevd --daemon root 632 0.0 0.0 3348 1336 ? S 16:52 0:00 /sbin/udevd --daemon root 633 0.0 0.0 3348 1204 ? S 16:52 0:00 /sbin/udevd --daemon root 782 0.0 0.0 2816 596 ? S 16:52 0:00 upstart-socket-bridge --daemon root 822 0.0 0.0 6684 2400 ? Ss 16:52 0:00 /usr/sbin/sshd -D 102 834 0.2 0.0 4064 1864 ? Ss 16:52 0:01 dbus-daemon --system --fork root 857 0.0 0.1 7420 3380 ? Ss 16:52 0:00 /usr/sbin/modem-manager root 858 0.0 0.0 4784 1636 ? Ss 16:52 0:00 /usr/sbin/bluetoothd syslog 860 0.0 0.0 31068 1496 ? Sl 16:52 0:00 rsyslogd -c5 root 869 0.1 0.1 24280 5564 ? Ssl 16:52 0:00 NetworkManager avahi 883 0.0 0.0 3448 1488 ? S 16:52 0:00 avahi-daemon: running [pony.local] avahi 884 0.0 0.0 3448 436 ? S 16:52 0:00 avahi-daemon: chroot helper root 885 0.0 0.0 0 0 ? S< 16:52 0:00 [kpsmoused] root 892 0.0 0.1 25696 4140 ? Sl 16:52 0:00 /usr/lib/policykit-1/polkitd --no-debug root 923 0.0 0.0 0 0 ? S 16:52 0:00 [scsi_eh_6] root 959 0.0 0.0 0 0 ? S< 16:52 0:00 [krfcommd] root 970 0.0 0.1 7536 3120 ? Ss 16:52 0:00 /usr/sbin/cupsd -F colord 976 0.1 0.3 55080 10396 ? Sl 16:52 0:00 /usr/lib/i386-linux-gnu/colord/colord root 979 0.0 0.0 4632 872 tty4 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty4 root 987 0.0 0.0 4632 884 tty5 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty5 root 994 0.0 0.0 4632 884 tty2 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty2 root 995 0.0 0.0 4632 868 tty3 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty3 root 998 0.0 0.0 4632 876 tty6 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty6 root 1022 0.0 0.0 2176 680 ? Ss 16:52 0:00 acpid -c /etc/acpi/events -s /var/run/acpid.socket root 1029 0.0 0.0 3632 664 ? Ss 16:52 0:00 /usr/sbin/irqbalance daemon 1030 0.0 0.0 2476 120 ? Ss 16:52 0:00 atd root 1031 0.0 0.0 2620 880 ? Ss 16:52 0:00 cron root 1061 0.1 0.0 0 0 ? S 16:52 0:00 [kworker/3:2] root 1064 0.0 1.0 34116 31072 ? SLsl 16:52 0:00 lightdm root 1076 13.4 1.2 118688 37920 tty7 Ssl+ 16:52 0:55 /usr/bin/X :0 -core -auth /var/run/lightdm/root/:0 -nolisten tcp vt7 -novtswit root 1085 0.0 0.0 0 0 ? S 16:52 0:00 [rts_pstor] root 1087 0.0 0.0 0 0 ? S 16:52 0:00 [rtsx-polling] root 1095 0.0 0.0 0 0 ? S< 16:52 0:00 [cfg80211] root 1127 0.0 0.0 0 0 ? S 16:52 0:00 [flush-8:0] root 1130 0.0 0.0 6136 1824 ? Ss 16:52 0:00 /sbin/wpa_supplicant -B -P /run/sendsigs.omit.d/wpasupplicant.pid -u -s -O /va root 1137 0.0 0.1 24604 3164 ? Sl 16:52 0:00 /usr/lib/accountsservice/accounts-daemon root 1140 0.0 0.0 0 0 ? S< 16:52 0:00 [hd-audio0] root 1188 0.0 0.1 34308 3420 ? Sl 16:52 0:00 /usr/sbin/console-kit-daemon --no-daemon root 1425 0.0 0.0 4632 872 tty1 Ss+ 16:52 0:00 /sbin/getty -8 38400 tty1 root 1443 0.1 0.1 29460 4664 ? Sl 16:52 0:00 /usr/lib/upower/upowerd root 1579 0.0 0.1 16540 3272 ? Sl 16:53 0:00 lightdm --session-child 12 19 bw 1623 0.0 0.0 2232 644 ? Ss 16:53 0:00 /bin/sh /usr/bin/startkde bw 1672 0.0 0.0 4092 204 ? Ss 16:53 0:00 /usr/bin/ssh-agent /usr/bin/gpg-agent --daemon --sh --write-env-file=/home/bw/ bw 1673 0.0 0.0 5492 384 ? Ss 16:53 0:00 /usr/bin/gpg-agent --daemon --sh --write-env-file=/home/bw/.gnupg/gpg-agent-in bw 1676 0.0 0.0 3848 792 ? S 16:53 0:00 /usr/bin/dbus-launch --exit-with-session /usr/bin/startkde bw 1677 0.5 0.0 5384 2180 ? Ss 16:53 0:02 //bin/dbus-daemon --fork --print-pid 5 --print-address 7 --session root 1704 0.3 0.1 25348 3600 ? Sl 16:53 0:01 /usr/lib/udisks/udisks-daemon root 1705 0.0 0.0 6620 728 ? S 16:53 0:00 udisks-daemon: not polling any devices bw 1736 0.0 0.0 2008 64 ? S 16:53 0:00 /usr/lib/kde4/libexec/start_kdeinit +kcminit_startup bw 1737 0.0 0.5 115200 15588 ? Ss 16:53 0:00 kdeinit4: kdeinit4 Running... bw 1738 0.1 0.2 116756 8728 ? S 16:53 0:00 kdeinit4: klauncher [kdeinit] --fd=9 bw 1740 0.6 1.0 340524 31264 ? Sl 16:53 0:02 kdeinit4: kded4 [kdeinit] bw 1742 0.0 0.0 8944 2144 ? S 16:53 0:00 /usr/lib/i386-linux-gnu/gconf/gconfd-2 bw 1746 0.2 0.4 92028 14688 ? S 16:53 0:00 /usr/bin/kglobalaccel bw 1748 0.0 0.4 90804 13500 ? S 16:53 0:00 /usr/bin/kwalletd bw 1752 0.1 0.5 103764 15152 ? S 16:53 0:00 /usr/bin/kactivitymanagerd bw 1758 0.0 0.0 2144 280 ? S 16:53 0:00 kwrapper4 ksmserver bw 1759 0.1 0.5 150016 16088 ? Sl 16:53 0:00 kdeinit4: ksmserver [kdeinit] bw 1763 2.2 1.0 178492 32100 ? Sl 16:53 0:08 kwin bw 1772 0.2 0.5 106292 16340 ? Sl 16:53 0:00 /usr/bin/knotify4 bw 1777 0.9 1.1 246120 32912 ? Sl 16:53 0:03 /usr/bin/krunner bw 1778 6.3 2.7 389884 80216 ? Sl 16:53 0:23 /usr/bin/plasma-desktop bw 1785 0.0 0.0 2844 1208 ? S 16:53 0:00 ksysguardd bw 1789 0.1 0.4 82036 14176 ? S 16:53 0:00 /usr/bin/kuiserver bw 1805 0.3 0.1 61560 5612 ? Sl 16:53 0:01 /usr/bin/akonadi_control root 1806 0.0 0.0 0 0 ? S 16:53 0:00 [kworker/0:2] bw 1808 0.1 0.2 211852 8460 ? Sl 16:53 0:00 akonadiserver bw 1810 0.4 0.8 244116 25360 ? Sl 16:53 0:01 /usr/sbin/mysqld --defaults-file=/home/bw/.local/share/akonadi/mysql.conf --da bw 1874 0.0 0.0 35284 2956 ? Sl 16:53 0:00 /usr/bin/xsettings-kde bw 1876 0.0 0.3 68776 9488 ? Sl 16:53 0:00 /usr/bin/nepomukserver bw 1884 0.4 0.9 173876 29240 ? SNl 16:53 0:01 /usr/bin/nepomukservicestub nepomukstorage bw 1902 6.1 2.1 451512 63924 ? Sl 16:53 0:21 /home/bw/.dropbox-dist/dropbox bw 1906 3.8 1.0 142368 32376 ? Rl 16:53 0:13 /usr/bin/yakuake bw 1933 0.0 0.1 54636 4680 ? Sl 16:53 0:00 /usr/bin/zeitgeist-datahub bw 1943 0.5 1.5 164836 46836 ? Sl 16:53 0:01 python /usr/bin/printer-applet bw 1945 0.1 0.1 99636 5048 ? S<l 16:53 0:00 /usr/bin/pulseaudio --start --log-target=syslog rtkit 1947 0.0 0.0 21336 1248 ? SNl 16:53 0:00 /usr/lib/rtkit/rtkit-daemon bw 1958 0.0 0.1 44204 3792 ? Sl 16:53 0:00 /usr/bin/zeitgeist-daemon bw 1972 0.0 0.0 27008 2684 ? Sl 16:53 0:00 /usr/lib/gvfs/gvfsd bw 1974 0.1 0.5 90480 16660 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_akonotes_resource akonadi_akonotes_res bw 1984 0.1 0.5 90472 16636 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_akonotes_resource akonadi_akonotes_res bw 1985 0.3 0.9 148800 28304 ? S 16:53 0:01 /usr/bin/akonadi_archivemail_agent --identifier akonadi_archivemail_agent bw 1992 0.1 0.5 90020 16148 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_contacts_resource akonadi_contacts_res bw 1993 0.1 0.5 90132 16452 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_contacts_resource akonadi_contacts_res bw 1994 0.1 0.5 90564 16332 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_ical_resource akonadi_ical_resource_0 bw 1995 0.1 0.5 90676 16732 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_ical_resource akonadi_ical_resource_1 bw 1996 0.1 0.5 90468 16800 ? Sl 16:53 0:00 /usr/bin/akonadi_agent_launcher akonadi_maildir_resource akonadi_maildir_resou bw 1999 0.2 0.6 99324 19276 ? S 16:53 0:00 /usr/bin/akonadi_maildispatcher_agent --identifier akonadi_maildispatcher_agen bw 2006 0.3 0.9 148808 28332 ? S 16:53 0:01 /usr/bin/akonadi_mailfilter_agent --identifier akonadi_mailfilter_agent bw 2017 0.0 0.1 50256 4716 ? Sl 16:53 0:00 /usr/lib/zeitgeist/zeitgeist-fts bw 2024 0.2 0.6 103632 18376 ? Sl 16:53 0:00 /usr/bin/akonadi_nepomuk_feeder --identifier akonadi_nepomuk_feeder bw 2043 0.0 0.0 4484 280 ? S 16:53 0:00 /bin/cat bw 2101 0.2 0.7 113600 22396 ? Sl 16:53 0:00 /usr/lib/kde4/libexec/polkit-kde-authentication-agent-1 bw 2105 0.2 0.7 114196 22072 ? Sl 16:53 0:00 /usr/bin/nepomukcontroller bw 2156 0.3 1.0 333188 31244 ? Sl 16:54 0:01 /usr/bin/kmix bw 2167 0.0 0.0 6548 2724 pts/2 Ss 16:54 0:00 /bin/bash bw 2177 0.2 0.7 113496 22960 ? Sl 16:54 0:00 /usr/bin/klipper bw 2394 3.5 1.2 52932 35596 ? SNl 16:54 0:11 /usr/bin/virtuoso-t +foreground +configfile /tmp/virtuoso_hX1884.ini +wait root 2460 0.0 0.0 6184 1876 pts/2 S 16:54 0:00 sudo -s root 2500 0.0 0.0 6528 2700 pts/2 S 16:54 0:00 /bin/bash root 2599 0.0 0.0 5444 1280 pts/2 S+ 16:54 0:00 /bin/bash bin/aero root 2606 0.1 0.0 9836 2500 pts/2 S+ 16:54 0:00 wvdial aero2 root 2619 0.0 0.0 3504 1280 pts/2 S 16:54 0:00 /usr/sbin/pppd 57600 modem crtscts defaultroute usehostname -detach user aero bw 2653 0.0 0.0 6600 2880 pts/3 Ss 16:54 0:00 /bin/bash bw 2676 0.4 0.8 130296 24016 ? SNl 16:54 0:01 /usr/bin/nepomukservicestub nepomukfilewatch bw 2679 0.1 0.7 101636 22252 ? SNl 16:54 0:00 /usr/bin/nepomukservicestub nepomukqueryservice bw 2681 0.2 0.8 109836 24280 ? SNl 16:54 0:00 /usr/bin/nepomukservicestub nepomukbackupsync bw 3833 46.0 9.7 829272 288012 ? Rl 16:55 1:46 /usr/lib/firefox/firefox bw 3903 0.0 0.0 35128 2804 ? Sl 16:55 0:00 /usr/lib/at-spi2-core/at-spi-bus-launcher bw 4708 0.1 0.0 6564 2736 pts/4 Ss 16:56 0:00 /bin/bash root 5210 0.0 0.0 0 0 ? S 16:57 0:00 [kworker/u:0] root 6140 0.2 0.0 0 0 ? S 16:58 0:00 [kworker/0:1] root 6371 0.5 0.0 6184 1868 pts/4 S+ 16:59 0:00 sudo nethogs ppp0 root 6411 17.7 0.2 8616 6144 pts/4 S+ 16:59 0:05 nethogs ppp0 bw 6787 0.0 0.0 5464 1220 pts/3 R+ 16:59 0:00 ps auxw

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  • Windows Azure Evolution &ndash; Deploy Web Sites (WAWS Part 3)

    - by Shaun
    This is the sixth post of my Windows Azure Evolution series. After talked a bit about the new caching preview feature in the previous one, let’s back to the Windows Azure Web Sites (WAWS).   Git and GitHub Integration In the third post I introduced the overview functionality of WAWS and demonstrated how to create a WordPress blog through the build-in application gallery. And in the fourth post I covered how to use the TFS service preview to deploy an ASP.NET MVC application to the web site through the TFS integration. WAWS also have the Git integration. I’m not going to talk very detailed about the Git and GitHub integration since there are a bunch of information on the internet you can refer to. To enable the Git just go to the web site item in the developer portal and click the “Set up Git publishing”. After specified the username and password the windows azure platform will establish the Git integration and provide some basic guide. As you can see, you can download the Git binaries, commit the files and then push to the remote repository. Regarding the GitHub, since it’s built on top of Git it should work. Maarten Balliauw have a wonderful post about how to integrate GitHub to Windows Azure Web Site you can find here.   WebMatrix 2 RC WebMatrix is a lightweight web application development tool provided by Microsoft. It utilizes WebDeploy or FTP to deploy the web application to the server. And in WebMatrix 2.0 RC it added the feature to work with Windows Azure. First of all we need to download the latest WebMatrix 2 through the Web Platform Installer 4.0. Just open the WebPI and search “WebMatrix”, or go to its home page download its web installer. Once we have WebMatrix 2, we need to download the publish file of our WAWS. Let’s go to the developer portal and open the web site we want to deploy and download the publish file from the link on the right hand side. This file contains the necessary information of publishing the web site through WebDeploy and FTP, which can be used in WebMatrix, Visual Studio, etc.. Once we have the publish file we can open the WebMatrix, click the Open Site, Remote Site. Then it will bring up a dialog where we can input the information of the remote site. Since we have our publish file already, we can click the “Import publish settings” and select the publish file, then we can see the site information will be populated automatically. Click OK, the WebMatrix will connect to the remote site, which is the WAWS we had deployed already, retrieve the folders and files information. We can open files in WebMatrix and modify. But since WebMatrix is a lightweight web application tool, we cannot update the backend C# code. So in this case, we will modify the frontend home page only. After saved our modification, WebMatrix will compare the files between in local and remote and then it will only upload the modified files to Windows Azure through the connection information in the publish file. Since it only update the files which were changed, this minimized the bandwidth and deployment duration. After few seconds we back to the website and the modification had been applied.   Visual Studio and WebDeploy The publish file we had downloaded can be used not only in WebMatrix but also Visual Studio. As we know in Visual Studio we can publish a web application by clicking the “Publish” item from the project context menu in the solution explorer, and we can specify the WebDeploy, FTP or File System for the publish target. Now we can use the WAWS publish file to let Visual Studio publish the web application to WAWS. Let’s create a new ASP.NET MVC Web Application in Visual Studio 2010 and then click the “Publish” in solution explorer. Once we have the Windows Azure SDK 1.7 installed, it will update the web application publish dialog. So now we can import the publish information from the publish file. Select WebDeploy as the publish method. We can select FTP as well, which is supported by Windows Azure and the FTP information was in the same publish file. In the last step the publish wizard can check the files which will be uploaded to the remote site before the actually publishing. This gives us a chance to review and amend the files. Same as the WebMatrix, Visual Studio will compare the files between local and WAWS and determined which had been changed and need to be published. Finally Visual Studio will publish the web application to windows azure through WebDeploy protocol. Once it finished we can browse our website.   FTP Deployment The publish file we downloaded contains the connection information to our web site via both WebDeploy and FTP. When using WebMatrix and Visual Studio we can select WebDeploy or FTP. WebDeploy method can be used very easily from WebMatrix and Visual Studio, with the file compare feature. But the FTP gives more flexibility. We can use any FTP client to upload files to windows azure regardless which client and OS we are using. Open the publish file in any text editor, we can find the connection information very easily. As you can see the publish file is actually a XML file with WebDeploy and FTP information in plain text attributes. And once we have the FTP URL, username and password, when can connect to the site and upload and download files. For example I opened FileZilla and connected to my WAWS through FTP. Then I can download files I am interested in and modify them on my local disk. Then upload back to windows azure through FileZilla. Then I can see the new page.   Summary In this simple and quick post I introduced vary approaches to deploy our web application to Windows Azure Web Site. It supports TFS integration which I mentioned previously. It also supports Git and GitHub, WebDeploy and FTP as well.   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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  • Copying files from GAC using xcopy or Windows Explorer

    - by Rohit Gupta
    use this command for copying files using a wildcard from the GAC to a local folder. xcopy c:\windows\assembly\Microsoft.SqlServer.Smo*.dll c:\gacdll /s/r/y/c The above command will continue even it encounters any “Access Denied” errors, thus copying over the required files. To copy files using the Windows explorer just disable the GAC Cache Viewer by adding a entry to the registry: Browse to “HKEY_LOCALMACHINE\Software\Microsoft\Fusion” Add a Dword called DisableCacheViewer. Set the value of it to 1.

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  • Use BGInfo to Build a Database of System Information of Your Network Computers

    - by Sysadmin Geek
    One of the more popular tools of the Sysinternals suite among system administrators is BGInfo which tacks real-time system information to your desktop wallpaper when you first login. For obvious reasons, having information such as system memory, available hard drive space and system up time (among others) right in front of you is very convenient when you are managing several systems. A little known feature about this handy utility is the ability to have system information automatically saved to a SQL database or some other data file. With a few minutes of setup work you can easily configure BGInfo to record system information of all your network computers in a centralized storage location. You can then use this data to monitor or report on these systems however you see fit. BGInfo Setup If you are familiar with BGInfo, you can skip this section. However, if you have never used this tool, it takes just a few minutes to setup in order to capture the data you are looking for. When you first open BGInfo, a timer will be counting down in the upper right corner. Click the countdown button to keep the interface up so we can edit the settings. Now edit the information you want to capture from the available fields on the right. Since all the output will be redirected to a central location, don’t worry about configuring the layout or formatting. Configuring the Storage Database BGInfo supports the ability to store information in several database formats: SQL Server Database, Access Database, Excel and Text File. To configure this option, open File > Database. Using a Text File The simplest, and perhaps most practical, option is to store the BGInfo data in a comma separated text file. This format allows for the file to be opened in Excel or imported into a database. To use a text file or any other file system type (Excel or MS Access), simply provide the UNC to the respective file. The account running the task to write to this file will need read/write access to both the share and NTFS file permissions. When using a text file, the only option is to have BGInfo create a new entry each time the capture process is run which will add a new line to the respective CSV text file. Using a SQL Database If you prefer to have the data dropped straight into a SQL Server database, BGInfo support this as well. This requires a bit of additional configuration, but overall it is very easy. The first step is to create a database where the information will be stored. Additionally, you will want to create a user account to fill data into this table (and this table only). For your convenience, this script creates a new database and user account (run this as Administrator on your SQL Server machine): @SET Server=%ComputerName%.@SET Database=BGInfo@SET UserName=BGInfo@SET Password=passwordSQLCMD -S “%Server%” -E -Q “Create Database [%Database%]“SQLCMD -S “%Server%” -E -Q “Create Login [%UserName%] With Password=N’%Password%’, DEFAULT_DATABASE=[%Database%], CHECK_EXPIRATION=OFF, CHECK_POLICY=OFF”SQLCMD -S “%Server%” -E -d “%Database%” -Q “Create User [%UserName%] For Login [%UserName%]“SQLCMD -S “%Server%” -E -d “%Database%” -Q “EXEC sp_addrolemember N’db_owner’, N’%UserName%’” Note the SQL user account must have ‘db_owner’ permissions on the database in order for BGInfo to work correctly. This is why you should have a SQL user account specifically for this database. Next, configure BGInfo to connect to this database by clicking on the SQL button. Fill out the connection properties according to your database settings. Select the option of whether or not to only have one entry per computer or keep a history of each system. The data will then be dropped directly into a table named “BGInfoTable” in the respective database.   Configure User Desktop Options While the primary function of BGInfo is to alter the user’s desktop by adding system info as part of the wallpaper, for our use here we want to leave the user’s wallpaper alone so this process runs without altering any of the user’s settings. Click the Desktops button. Configure the Wallpaper modifications to not alter anything.   Preparing the Deployment Now we are all set for deploying the configuration to the individual machines so we can start capturing the system data. If you have not done so already, click the Apply button to create the first entry in your data repository. If all is configured correctly, you should be able to open your data file or database and see the entry for the respective machine. Now click the File > Save As menu option and save the configuration as “BGInfoCapture.bgi”.   Deploying to Client Machines Deployment to the respective client machines is pretty straightforward. No installation is required as you just need to copy the BGInfo.exe and the BGInfoCapture.bgi to each machine and place them in the same directory. Once in place, just run the command: BGInfo.exe BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt Of course, you probably want to schedule the capture process to run on a schedule. This command creates a Scheduled Task to run the capture process at 8 AM every morning and assumes you copied the required files to the root of your C drive: SCHTASKS /Create /SC DAILY /ST 08:00 /TN “System Info” /TR “C:\BGInfo.exe C:\BGInfoCapture.bgi /Timer:0 /Silent /NoLicPrompt” Adjust as needed, but the end result is the scheduled task command should look something like this:   Download BGInfo from Sysinternals Latest Features How-To Geek ETC How To Create Your Own Custom ASCII Art from Any Image How To Process Camera Raw Without Paying for Adobe Photoshop How Do You Block Annoying Text Message (SMS) Spam? How to Use and Master the Notoriously Difficult Pen Tool in Photoshop HTG Explains: What Are the Differences Between All Those Audio Formats? 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  • Speed Up the Help Dialog in Windows and Office

    - by Matthew Guay
    When you click help, you don’t want to wait for your computer to bring it to you.  Here’s how you can speed up the help dialog in Windows and Office. If you have a slow internet connection, chances are you’ve been frustrated by the Help dialog in Windows and Office trying to download fresh content every time you open them. This can be great if the updated help files contain better content, but sometimes you just want to find what you were looking for without waiting.  Here’s how you can turn off the automatic online help. Use Local Help in Windows Windows 7 and Vista’s help dialog usually tries to load the latest content from the net, but this can take a long time on slow connections. If you’re seeing the above screen a lot, you may want to switch to offline help.  Click the “Online Help” button at the bottom, and select “Get offline Help”. Now your computer will just load the pre-installed help files.  And don’t worry; if there’s a major update to your help files, Windows will download and install it through Windows Update.   Stupid Geek Tip: An easy way to open Windows Help is to click on your desktop or Start Menu and press F1 on your keyboard. Use Local Help in Office This same trick works in Office 2007 and 2010.  We’ve actually had more problems with Office’s help being tardy. Solve this the same way as with Windows help.  Click on the “Connected to Office.com” or “Connected to Office Online” button, depending on your version of Office, and select “Show content only from this computer”. This will automatically change the settings for Help in all of your Office applications. While this may not be a major trick, it can be helpful especially if you have a slow internet connection and want to get things done quickly.  Similar Articles Productive Geek Tips How to See the About Dialog and Version Information in Office 2007Speed Up SATA Hard Drives in Windows VistaMake Mouse Navigation Faster in WindowsSpeed up Your Windows Vista Computer with ReadyBoostSet the Speed Dial as the Opera Startup Page TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips DVDFab 6 Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 FoxClocks adds World Times in your Statusbar (Firefox) Have Fun Editing Photo Editing with Citrify Outlook Connector Upgrade Error Gadfly is a cool Twitter/Silverlight app Enable DreamScene in Windows 7 Microsoft’s “How Do I ?” Videos

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  • Recommended workflows for Apache virtual hosts?

    - by craig zheng
    I do a lot of local web development work on my Ubuntu machine, and I'm constantly setting up virtual hosts in Apache. I don't need to do hard core server management, but I am getting tired of the repetitive process of manually adding config directives to files in /etc/apache2/sites-available/ and then updating the /etc/hosts file. Is there a more efficient or more automated way to do all this that I'm missing? Maybe something like rapache but that's actually working?

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