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  • Unable to locate package lightread

    - by TENG PENG
    I have changed my source to local server. I'm using Ubuntu 12.10. When I type apt-cache search in terminal, it shows nothing. When I install lightread it shows Unable to locate package lightread. When I install lightread manually by python. It shows python '/home/peng/Downloads/quickly_trunk/setup.py' Traceback (most recent call last): File "/home/peng/Downloads/quickly_trunk/setup.py", line 93, in <module> data_files=[('share/icons/hicolor/128x128/apps', ['data/media/lightread.png'])] File "/usr/lib/python2.7/dist-packages/DistUtilsExtra/auto.py", line 71, in setup src_mark(src, 'setup.py') File "/usr/lib/python2.7/dist-packages/DistUtilsExtra/auto.py", line 527, in src_mark src.remove(path) KeyError: 'setup.py' How to solve the problem?

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  • Ubuntu 12.04 Install Problems.. Installation Type screen. No options [closed]

    - by Zaffiro
    Possible Duplicate: Only ‘sdb’ shows up when installing 12.04 on a new Dell inspiron 14z I am new to Linux and trying to install Ubuntu 12.04 on a new HP Pavilion DV6TQE Ivy Bridge and being presented with the below screen which I believe is incorrect. My disk is set up as a basic disk (not dynamic) and I tried with a single C:\ partition and by creating a second partition in windows with no luck. Any ideas? UPDATE: I think I know what the problem is but I don't know how to fix it yet.. My hard drive has a 32gb mSSD cache which is listed as dev/sdb. for some reason this is causing the installation trouble.

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  • How to install Chrome browser properly via command line?

    - by Bad Learner
    Setting up and managing an Ubuntu server all by myself, in coming months, is a part of my current plans. Hence, I am planning a swtich from Windows to Linux - - Ubuntu. I now need to get some grip on the command line, since I am all used to Windows' GUI. Anyway... the most obvious start is installing apps on my computer, and I thought I should learn to do it via CLI. And this is what I did: $ apt-cache search chrome browser the results showed that the proper term is "chrome-browser," so... $ sudo apt-get install chrome-browser And then "Y" for the Y/n question. But the installation threw errors. (I do not have my PC at hand, so can't mention what error exactly.) Does someone see anything wrong with the commands I issued? I am probably missing some command(s) in between, I think.

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  • Installing Ubuntu

    - by Mister AR
    i got a problem when I wanted to installing ubuntu 12.04 on a VMWare system on my Windows 7 x64 system ... in the end of installing after retrieving Files it stopped and didn't move forward... additionally i got a another problem there where i wanted to installing packages i updated. and gave me error below : installArchives() failed: Error in function: Setting up libssl1.0.0 (1.0.1-4ubuntu5.2) ... locale: Cannot set LC_CTYPE to default locale: No such file or directory locale: Cannot set LC_MESSAGES to default locale: No such file or directory locale: Cannot set LC_ALL to default locale: No such file or directory debconf: DbDriver "config": /var/cache/debconf/config.dat is locked by another process: Resource temporarily unavailable dpkg: error processing libssl1.0.0 (--configure): subprocess installed post-installation script returned error exit status 1 PLz help me soon ! tY all...

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  • SVG images grow and create scrollbars when on the server

    - by zuko
    Okay so I embedded some SVG images into my page and opened it locally on Chrome and it looked fine. I upload the same file to the server and look at the page online and the SVG images have grown by maybe 5-10% and are surrounded by scroll bars like they are overflowing. I think it probably has to do with my lack of knowledge on how SVG and Embed work. What's really puzzling me though, is that it works fine locally. (I have cache disabled.) Help? Thanks. Edit: code HTML: <embed type="image/svg+xml" src="content/web-logo.svg"/> There's no CSS on the image. I'm not sure if I was just wrong before or if I changed something I'm not aware of, but it doesn't appear to be actually changing size anymore. It just decides to stuff it into a scrollbox. pic: https://www.dropbox.com/s/wt1aufi7nl1fpyi/svg-problem.png

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  • How can I add the version of a file to the file name with Tortoise-SVN?

    - by Eric Belair
    I would like to start giving unique names to "cache-able" files - i.e. *.css and *.js - in order to prevent caching, without requiring changes to the web-server settings (as is currently done in IIS). For instance, let's I have a JavaScript file called global.js. Going forward I would like it to have the name global.123.js when revision 123 is checked in. This would also require the following: The previous version of the file - perhaps it was global.115.js - is removed when the file is deployed. All references to the file are updated with the new file name How do I go about doing this? What concerns do I need to consider?

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  • Installing Cairo to get FastRWeb working for R gWidgetsWWW2 -pkg

    - by hhh
    I want to install FastRWeb for R but it requires some Cairo. How can I install the Cairo? compilation terminated. make: *** [xlib-backend.o] Error 1 ERROR: compilation failed for package ‘Cairo’ * removing ‘/home/xfz/R/i686-pc-linux-gnu-library/2.13/Cairo’ ERROR: dependency ‘Cairo’ is not available for package ‘FastRWeb’ * removing ‘/home/xfz/R/i686-pc-linux-gnu-library/2.13/FastRWeb’ The downloaded packages are in ‘/tmp/Rtmpno8hhF/downloaded_packages’ Warning messages: 1: In install.packages("FastRWeb", , "http://rforge.net/", type = "source") : installation of package 'Cairo' had non-zero exit status 2: In install.packages("FastRWeb", , "http://rforge.net/", type = "source") : installation of package 'FastRWeb' had non-zero exit status I cannot find what the Cairo is here, 16 entries with this search term below. It is apparently some library. $ apt-cache search libcairo|wc 16 132 996 Perhaps related http://stackoverflow.com/questions/9826128/r-making-r-rook-program-into-rscript-program-r http://stackoverflow.com/questions/9812547/r-gui-vizualiser-with-command-line-access-browser-based-letting-users-to-s Some related packages FastRWeb and RServe for the gWidgetsWWW2 -pkg.

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  • Cannot install nautilus elementary.

    - by coklatua
    when I try apt-cache policy nautilus it shows this, Installed: 1:2.32.0-0ubuntu1-ppa1 Candidate: 1:2.32.0-0ubuntu1-ppa1 Version table: *** 1:2.32.0-0ubuntu1-ppa1 0 100 /var/lib/dpkg/status 1:2.32.0-0ubuntu6~ppa160 0 500 http://ppa.launchpad.net/am-monkeyd/nautilus-elementary-ppa/ubuntu/ maverick/main amd64 Packages 1:2.32.0-0ubuntu1.1 0 500 http://archive.ubuntu.com/ubuntu/ maverick-updates/main amd64 Packages 1:2.32.0-0ubuntu1 0 500 http://archive.ubuntu.com/ubuntu/ maverick/main amd64 Pack As you can see I allready add the am-monkeyd ppa but when i'm update & upgrade nothing change.

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  • Dynamic MMap ran out of room when trying to sudo apt-get anything

    - by user1610406
    I was having an error in Update Manager that asks me to do a partial upgrade and it fails. Now I can't sudo apt-get install anything. I tried to fix it, and now I can't sudo apt-get anything. Every time, I get this output: Reading package lists... Error! E: Dynamic MMap ran out of room. Please increase the size of APT::Cache-Limit. Current value: 25165824. (man 5 apt.conf) E: Error occurred while processing libuptimed0 (NewVersion1) E: Problem with MergeList /var/lib/apt/lists/archive.ubuntu.com_ubuntu_dists_lucid_universe_binary-i386_Packages W: Unable to munmap E: The package lists or status file could not be parsed or opened. I have no idea why this is happening or how to fix it, and I fear that if I try something that probably doesn't work that it will make my problem worse. (Just for reference I am currently running 10.04 (Lucid) on my machine.)

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  • How can I delay dropbox from starting, but not disable it?

    - by jgbelacqua
    When I log into my user account on Ubuntu 10.10, there is a unsatisfying delay before my system becomes usable. Even launching a terminal, I have to wait a few seconds before the bash prompt appears. During this start-up period, the top process seems to be dropbox. I'm not sure what it's doing exactly (functionality is still fine as far as I can see), but I do know it really doesn't need to be doing it while I'm waiting for desktop to appear. (This is the standard Ubuntu with Gnome desktop, by the way.) What I would like to do is to be able to have a static or even dependency-based delay for dropbox to start. It would be nice if it waited for, e.g., 10 minutes, or for my browser tabs to load and a typing pause. Then it could churn away on file status or cache-chewing, and I would be happy. Is there a way to do this? Thanks!

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  • All video thumbnails fail to be generated

    - by Forage
    Not a single video thumbnail is being generated and shown in Nautilus. The folder ~/.cache/thumbnails/fail/gnome-thumbnail-factory/ keeps getting filled for all of them. I tried removing all the thumbnails from the folder, reinstalling the gstreamer-plugins-... and totem packages, changing the thumbnail settings (Always, 4 GB) in the Preview section of the Nautilus preferences. All to no avail. Some recommend to install packages like libxine1 and ffmpegthumbnailer but this didn't not solve it either. There used to be an .xsession-errors error log file generated in the home folder in previous version of Ubuntu but that doesn't seem to be the case any more. I'm running Ubuntu 12.10 GNOME remix (x64) with the GNOME3 ppa packages installed. What could be the cause of the problem and how can I fix it?

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  • Black screen after select installing on a Dell Inspiron 14z

    - by Rodrigo
    I'm trying to do a dual boot on my Dell Inspiron 14z notebook, but I always get a black screen after selecting Install Ubuntu. I've tried to add nomodeset and acpi_osi="Linux" to the boot options, but it doesn't change anything. The hardware: 3rd Generation Intel® Core™ i7-3517U processor (4M Cache, up to 3.0 GHz) 8GB2 Dual Channel DDR3 SDRAM at 1600MHz 500GB 5400 RPM SATA HDD and 32GB mSATA SSD AMD Radeon HD7570M 1GB This question isn't duplicated. I've already tested all tips in the following question! My computer boots to a black screen, what options do I have to fix it?

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  • How can I determine which GPU card is running at PCI Express 2.0 x16 & which is using x8?

    - by M. Tibbits
    Is there a way to determine the speed of the PCI Express connection to a specific card? I have three cards plugged in: two Nvidia GTX 480's (one at x16 & and one at x8) one Nvidia GTX 460 running at x8 Is there some way, either by a function call in C or an option to lspci that I can determine the bus speed of the graphics cards? When I only use one of the cards for my CUDA program, I'd like to use the one which is running at x16. Thanks! Note: lspci -vvv dumps out For the two GTX 480s. I don't see any differences that pertain to bus speed. 03:00.0 VGA compatible controller: nVidia Corporation Device 06c0 (rev a3) Subsystem: eVga.com. Corp. Device 1480 Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0 Interrupt: pin A routed to IRQ 16 Region 0: Memory at d4000000 (32-bit, non-prefetchable) [size=32M] Region 1: Memory at b0000000 (64-bit, prefetchable) [size=128M] Region 3: Memory at bc000000 (64-bit, prefetchable) [size=64M] Region 5: I/O ports at df00 [disabled] [size=128] [virtual] Expansion ROM at b8000000 [disabled] [size=512K] Capabilities: <access denied> Kernel driver in use: nvidia Kernel modules: nvidia, nvidiafb, nouveau 03:00.1 Audio device: nVidia Corporation Device 0be5 (rev a1) Subsystem: eVga.com. Corp. Device 1480 Control: I/O- Mem- BusMaster- SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Interrupt: pin B routed to IRQ 5 Region 0: [virtual] Memory at d7ffc000 (32-bit, non-prefetchable) [disabled] [size=16K] Capabilities: <access denied> 04:00.0 VGA compatible controller: nVidia Corporation Device 06c0 (rev a3) Subsystem: eVga.com. Corp. Device 1480 Control: I/O+ Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0 Interrupt: pin A routed to IRQ 16 Region 0: Memory at dc000000 (32-bit, non-prefetchable) [size=32M] Region 1: Memory at c0000000 (64-bit, prefetchable) [size=128M] Region 3: Memory at cc000000 (64-bit, prefetchable) [size=64M] Region 5: I/O ports at cf00 [size=128] [virtual] Expansion ROM at c8000000 [disabled] [size=512K] Capabilities: <access denied> Kernel driver in use: nvidia Kernel modules: nvidia, nvidiafb, nouveau 04:00.1 Audio device: nVidia Corporation Device 0be5 (rev a1) Subsystem: eVga.com. Corp. Device 1480 Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- Status: Cap+ 66MHz- UDF- FastB2B- ParErr- DEVSEL=fast >TAbort- <TAbort- <MAbort- >SERR- <PERR- INTx- Latency: 0, Cache Line Size: 64 bytes Interrupt: pin B routed to IRQ 5 Region 0: Memory at dfffc000 (32-bit, non-prefetchable) [size=16K] Capabilities: <access denied> And the only differences I see relate specifically to the memory mapping: myComputer:~> diff card1 card2 3c3 < Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- --- > Control: I/O+ Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- 7,11c7,11 < Region 0: Memory at d4000000 (32-bit, non-prefetchable) [size=32M] < Region 1: Memory at b0000000 (64-bit, prefetchable) [size=128M] < Region 3: Memory at bc000000 (64-bit, prefetchable) [size=64M] < Region 5: I/O ports at df00 [disabled] [size=128] < [virtual] Expansion ROM at b8000000 [disabled] [size=512K] --- > Region 0: Memory at dc000000 (32-bit, non-prefetchable) [size=32M] > Region 1: Memory at c0000000 (64-bit, prefetchable) [size=128M] > Region 3: Memory at cc000000 (64-bit, prefetchable) [size=64M] > Region 5: I/O ports at cf00 [size=128] > [virtual] Expansion ROM at c8000000 [disabled] [size=512K] 18c18 < Control: I/O- Mem- BusMaster- SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- --- > Control: I/O- Mem+ BusMaster+ SpecCycle- MemWINV- VGASnoop- ParErr- Stepping- SERR- FastB2B- DisINTx- 19a20 > Latency: 0, Cache Line Size: 64 bytes 21c22 < Region 0: [virtual] Memory at d7ffc000 (32-bit, non-prefetchable) [disabled] [size=16K] --- > Region 0: Memory at dfffc000 (32-bit, non-prefetchable) [size=16K]

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  • Which hidden files and directories do I need?

    - by Sammy Black
    In a previous question, I explained my situation/plan: backing up home directory on external drive, reformatting laptop drive, installing 14.04, putting home directory back. (It hasn't happened yet because I can't seem to find the down time, in case things aren't working right away.) It occurred to me that maybe I don't want all of those hidden files and directories (e.g. .local/share/ubuntuone/syncdaemon/, .cache/google-chrome/, etc.) Just judging by the amount of time in copying, I can tell that some of these hidden directories are large. Question: Are there any hidden directories that I obviously don't need/want when I have the laptop running an updated distribution? Will they cause conflicts? (I plan on copying the backed-up directory tree back onto the laptop with the --no-clobber option.)

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  • #OOW 2012 : IaaS, Private Cloud, Multitenant Database, and X3H2M2

    - by Eric Bezille
    The title of this post is a summary of the 4 announcements made by Larry Ellison today, during the opening session of Oracle Open World 2012... To know what's behind X3H2M2, you will have to wait a little, as I will go in order, beginning with the IaaS - Infrastructure as a Service - announcement. Oracle IaaS goes Public... and Private... Starting in 2004 with Fusion development, Oracle Cloud was launch last year to provide not only SaaS Application, based on standard development, but also the underlying PaaS, required to build the specifics, and required interconnections between applications, in and outside of the Cloud. Still, to cover the end-to-end Cloud  Services spectrum, we had to provide an Infrastructure as a Service, leveraging our Servers, Storage, OS, and Virtualization Technologies, all "Engineered Together". This Cloud Infrastructure, was already available for our customers to build rapidly their own Private Cloud either on SPARC/Solaris or x86/Linux... The second announcement made today bring that proposition a big step further : for cautious customers (like Banks, or sensible industries) who would like to benefits from the Cloud value of "as a Service", but don't want their Data out in the Cloud... We propose to them to operate the same systems, Exadata, Exalogic & SuperCluster, that are providing our Public Cloud Infrastructure, behind their firewall, in a Private Cloud model. Oracle 12c Multitenant Database This is also a major announcement made today, on what's coming with Oracle Database 12c : the ability to consolidate multiple databases with no extra additional  cost especially in terms of memory needed on the server node, which is often THE consolidation limiting factor. The principle could be compare to Solaris Zones, where, you will have a Database Container, who is "owning" the memory and Database background processes, and "Pluggable" Database in this Database Container. This particular feature is a strong compelling event to evaluate rapidly Oracle Database 12c once it will be available, as this is major step forward into true Database consolidation with Multitenancy on a shared (optimized) infrastructure. X3H2M2, enabling the new Exadata X3 in-Memory Database Here we are :  X3H2M2 stands for X3 (the new version of Exadata announced also today) Heuristic Hierarchical Mass Memory, providing the capability to keep most if not all the Data in the memory cache hierarchy. Of course, this is the major software enhancement of the new X3 Exadata machine, but as this is a software, our current customers would be able to benefit from it on their existing systems by upgrading to the new release. But that' not the only thing that we did with X3, at the same time we have upgraded everything : the CPUs, adding more cores per server node (16 vs. 12, with the arrival of Intel E5 / Sandy Bridge), the memory with 512GB memory as well per node,  and the new Flash Fire card, bringing now up to 22 TB of Flash cache. All of this 4TB of RAM + 22TB of Flash being use cleverly not only for read but also for write by the X3H2M2 algorithm... making a very big difference compare to traditional storage flash extension. But what does those extra performances brings to you on an already very efficient system: double your performances compare to the fastest storage array on the market today (including flash) and divide you storage price x10 at the same time... Something to consider closely this days... Especially that we also announced the availability of a new Exadata X3-2 8th rack : a good starting point. As you have seen a major opening for this year again with true innovation. But that was not the only thing that we saw today, as before Larry's talk, Fujitsu did introduce more in deep the up coming new SPARC processor, that they are co-developing with us. And as such Andrew Mendelsohn - Senior Vice President Database Server Technologies came on stage to explain that the next step after I/O optimization for Database with Exadata, was to accelerate the Database at execution level by bringing functions in the SPARC processor silicium. All in all, to process more and more Data... The big theme of the day... and of the Oracle User Groups Conferences that were also happening today and where I had the opportunity to attend some interesting sessions on practical use cases of Big Data one in Finances and Fraud profiling and the other one on practical deployment of Oracle Exalytics for Data Analytics. In conclusion, one picture to try to size Oracle Open World ... and you can understand why, with such a rich content... and this only the first day !

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  • KVM guest disk performance

    - by Alex
    My KVM guest does max. 200MB/s although the host does easily 700MB/s (Raid 0 with 4 SSDs). Configuration: File-based storage (raw), cache none. Host 24 cores, 96GB ram, Ubuntu 12.04.1 LTS and virt-manager. I suspect the CPU to be the bottleneck (one core goes up during hdparm). Anyone experienced the same or has an explanation ? Edit: one more info: guest is the same as host (Ubuntu 12). Same poor disk performance observed with Windows 2008 R2 and Suse Enterprise Linux (9 or 10 I think). Max 1 guest running.

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  • La Fondation Apache abandonne le projet Excalibur, faute d'avancées dans son développement

    La Fondation Apache abandonne le projet Excalibur, faute d'avancées dans son développement La Fondation Apache vient d'annoncer l'abandon de son projet open-source Excalibur. La raison invoquée pour mettre fin à l'existence de ce conteneur Java d'Inversion of Control est l'inactivité de son développement. Cet outil léger basé sur Java, qui permettait aux développeurs d'apprendre à un conteneur basé sur un logiciel "d'expliquer" aux composants comment interagir dans une application, comprenait aussi des composants pour s'occuper du cache et du XML. La mailing liste officiel d'Excalibur reste ouverte. Les autres ressources, quant à elles (site Internet, Wikis, téléchargements, bug tracker), ne seront plus dis...

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  • My colleague can't visit our website through her provider after long downtime

    - by Peter Westerlund
    We did a frontpage update some days ago that caused the site to crash. The site was down for several hours. After troubleshooting, we concluded that we needed to cache more content. It had been run too many queries. After solving that and rebooting of server, we here in Sweden and Norway were again able to visit the site. But a colleague in Tunisia couldn't. It seems to work from another internet provider but not her own. What could have happened? And what should we do? Edit: I should add: She is able to visit the site through tunnel at anonymouse.org.

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  • What is a good robots.txt for WP ?

    - by Steven
    What is the "best" setup for robots.txt? I'm using the following permalink structure in Wordpress: /%category%/%postname%/. My robots.txt currently looks like this (copied from somewhere a long time ago): User-agent: * Disallow: /cgi-bin Disallow: /wp-admin Disallow: /wp-includes Disallow: /wp-content/plugins Disallow: /wp-content/cache Disallow: /wp-content/themes Disallow: /trackback Disallow: /comments Disallow: /category/*/* Disallow: */trackback Disallow: */comments I want my comments to be indext. So I can remove this, right? Do I want to disallow indexing categories because of my permalinkstructure? An article can have several tags and be in multiple categories. This may cause duplicates in google. How should I work around this? Would you change anything else here?

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  • What norms/API for monitoring my servers?

    - by dystroy
    I have a dozen server applications installed on my customers intranets (they can send http requests over the internet but cannot be called from outside). They're written in various technologies, mainly java and Go. I want them to regularly push information about their state towards a central server which is visible on internet. Some of this information is generic (is it ON ?), some is specific (size of a cache in an application for example). The main goal is to be able to make a small web page on which I could instantly check the state of every servers. And maybe later add some kind of notification in case of problem. Obviously I can do this by writing a few dozen lines of code each side (or a little more if I put this data in a database) but in order to ease future evolution, it could be interesting to use some existing norms or libraries. So, what are the current opensource free and light solutions to do this, preferably with no central configuration when I add a server ? I'd prefer a norm over a library.

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  • Web Services Example - Part 2: Programmatic

    - by Denis T
    In this edition of the ADF Mobile blog we'll tackle part 2 of our Web Service examples.  In this posting we'll take a look at using a SOAP Web Service but calling it programmatically in code and parsing the return into a bean. Getting the sample code: Just click here to download a zip of the entire project.  You can unzip it and load it into JDeveloper and deploy it either to iOS or Android.  Please follow the previous blog posts if you need help getting JDeveloper or ADF Mobile installed.  Note: This is a different workspace than WS-Part1 Defining our Web Service: Just like our first installment, we are using the same public weather forecast web service provided free by CDYNE Corporation.  Sometimes this service goes down so please ensure you know it's up before reporting this example isn't working. We're going to concentrate on the same two web service methods, GetCityForecastByZIP and GetWeatherInformation. Defing the Application: The application setup is identical to the Weather1 version.  There are some improvements to the data that is displayed as part of this example though.  Now we are able to show the associated image along with each forecast line when using the Forecast By Zip feature.  We've also added the temperature Hi/Low values into the UI. Summary of Fundamental Changes In This Application The most fundamental change is that we're binding the UI to the Bean Data Controls instead of directly to the Web Service Data Controls.  This gives us much more flexibility to control the shape of the data and allows us to do caching of the data outside of the Web Service.  This way if your application is, say offline, your bean could still populate with data from a local cache and still show you some UI as opposed to completely failing because you don't have any connectivity. In general we promote this type of programming technique with ADF Mobile to insulate your application from any issues with network connectivity. What's different with this example? We have setup the Web Service DC the same way but now we have managed beans to process the data.  The following classes define the "Model" of our application:  CityInformation-CityForecast-Forecast, WeatherInformation-WeatherDescription.  We use WeatherBean for UI interaction to the model layer.  If you look through this example, we don't really do that much with the java code except use it to grab the image URL from the weather description.  In a more realistic example, you might be using some JDBC classes to persist the data to a local database. To have a good architecture it is always good to keep your model and UI layers separate.  This gets muddied if you start to use bindings on a page invoked from Java code and this java code starts to become your "model" layer.  Since bindings are page specific, your model layer starts to become entwined with your UI.  Not good!  To help with this, we've added some utility functions that let you invoke DC methods without having a binding and thus execute methods from your "model" layer without requiring a binding in your page definition.  We do this with the invokeDataControlMethod of the AdfmfJavaUtilities class.  An example of this method call is available in line 95 of WeatherInformation.java and line 93 of CityInformation.Java. What's a GenericType? Because Web Service Data Controls (and also URL Data Controls AKA REST) use generic name/value pairs to define their structure and don't have strongly typed objects, these are actually stored internally as GenericType objects.  The GenericType class is simply a property map of name/value pairs that can be hierarchical.  There are methods like getAttribute where you supply the index of the attribute or it's string property name.  Why is this important to know?  Because invokeDataControlMethod returns GenericType objects and developers either need to parse these GenericType objects themselves or use one of our helper functions. GenericTypeBeanSerializationHelper This class does exactly what it's name implies.  It's a helper class for developers to aid in serialization of GenericTypes to/from java objects.  This is extremely handy if you have a large GenericType object with many attributes (or you're just lazy like me!) and you just want to parse it out into a real java object you can use more easily.  Here you would use the fromGenericType method.  This method takes the class of the Java object you wish to return and the GenericType as parameters.  The method then parses through each attribute in the GenericType and uses reflection to set that same attribute in the Java class.  Then the method returns that new object of the class you specified.  This is obviously very handy to avoid a lot of shuffling code between GenericType and your own Java classes.  The reverse method, toGenericType is also available when you want to go the other way.  In this case you supply the string that represents the package location in the DataControl definition (Example: "MyDC.myParams.MyCollection") and then pass in the Java object you have that holds the data and a GenericType is returned to you.  Again, it will use reflection to calculate the attributes that match between the java class and the GenericType and call the getters/setters on those. Issues and Possible Improvements: In the next installment we'll show you how to make your web service calls asynchronously so your UI will fill dynamically when the service call returns but in the meantime you show the data you have locally in your bean fed from some local cache.  This gives your users instant delivery of some data while you fetch other data in the background.

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  • CPU Usage in Very Large Coherence Clusters

    - by jpurdy
    When sizing Coherence installations, one of the complicating factors is that these installations (by their very nature) tend to be application-specific, with some being large, memory-intensive caches, with others acting as I/O-intensive transaction-processing platforms, and still others performing CPU-intensive calculations across the data grid. Regardless of the primary resource requirements, Coherence sizing calculations are inherently empirical, in that there are so many permutations that a simple spreadsheet approach to sizing is rarely optimal (though it can provide a good starting estimate). So we typically recommend measuring actual resource usage (primarily CPU cycles, network bandwidth and memory) at a given load, and then extrapolating from those measurements. Of course there may be multiple types of load, and these may have varying degrees of correlation -- for example, an increased request rate may drive up the number of objects "pinned" in memory at any point, but the increase may be less than linear if those objects are naturally shared by concurrent requests. But for most reasonably-designed applications, a linear resource model will be reasonably accurate for most levels of scale. However, at extreme scale, sizing becomes a bit more complicated as certain cluster management operations -- while very infrequent -- become increasingly critical. This is because certain operations do not naturally tend to scale out. In a small cluster, sizing is primarily driven by the request rate, required cache size, or other application-driven metrics. In larger clusters (e.g. those with hundreds of cluster members), certain infrastructure tasks become intensive, in particular those related to members joining and leaving the cluster, such as introducing new cluster members to the rest of the cluster, or publishing the location of partitions during rebalancing. These tasks have a strong tendency to require all updates to be routed via a single member for the sake of cluster stability and data integrity. Fortunately that member is dynamically assigned in Coherence, so it is not a single point of failure, but it may still become a single point of bottleneck (until the cluster finishes its reconfiguration, at which point this member will have a similar load to the rest of the members). The most common cause of scaling issues in large clusters is disabling multicast (by configuring well-known addresses, aka WKA). This obviously impacts network usage, but it also has a large impact on CPU usage, primarily since the senior member must directly communicate certain messages with every other cluster member, and this communication requires significant CPU time. In particular, the need to notify the rest of the cluster about membership changes and corresponding partition reassignments adds stress to the senior member. Given that portions of the network stack may tend to be single-threaded (both in Coherence and the underlying OS), this may be even more problematic on servers with poor single-threaded performance. As a result of this, some extremely large clusters may be configured with a smaller number of partitions than ideal. This results in the size of each partition being increased. When a cache server fails, the other servers will use their fractional backups to recover the state of that server (and take over responsibility for their backed-up portion of that state). The finest granularity of this recovery is a single partition, and the single service thread can not accept new requests during this recovery. Ordinarily, recovery is practically instantaneous (it is roughly equivalent to the time required to iterate over a set of backup backing map entries and move them to the primary backing map in the same JVM). But certain factors can increase this duration drastically (to several seconds): large partitions, sufficiently slow single-threaded CPU performance, many or expensive indexes to rebuild, etc. The solution of course is to mitigate each of those factors but in many cases this may be challenging. Larger clusters also lead to the temptation to place more load on the available hardware resources, spreading CPU resources thin. As an example, while we've long been aware of how garbage collection can cause significant pauses, it usually isn't viewed as a major consumer of CPU (in terms of overall system throughput). Typically, the use of a concurrent collector allows greater responsiveness by minimizing pause times, at the cost of reducing system throughput. However, at a recent engagement, we were forced to turn off the concurrent collector and use a traditional parallel "stop the world" collector to reduce CPU usage to an acceptable level. In summary, there are some less obvious factors that may result in excessive CPU consumption in a larger cluster, so it is even more critical to test at full scale, even though allocating sufficient hardware may often be much more difficult for these large clusters.

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  • Migrating Virtual Iron guest to Oracle VM 3.x

    - by scoter
    As stated on the official site, Oracle in 2009, acquired a provider of server virtualization management software named Virtual Iron; you can find all the acquisition details at this link. Into the FAQ on the official site you can also view that, for the future, Oracle plans to fully integrate Virtual Iron technology into Oracle VM products, and any enhancements will be delivered as a part of the combined solution; this is what is going on with Oracle VM 3.x. So, customers started asking us to migrate Virtual Iron guests to Oracle VM. IMPORTANT: This procedure needs a dedicated OVM-Server with no-guests running on top; be careful while execute this procedure on production environments. In these little steps you will find how-to migrate, as fast as possible, your guests between VI ( Virtual Iron ) and Oracle VM; keep in mind that OracleVM has a built-in P2V utility ( Official Documentation )  that you can use to migrate guests between VI and Oracle VM. Concepts: VI repositories.  On VI we have the same "repository" concept as in Oracle VM; the difference between these two products is that VI use a raw-lun as repository ( instead of using ocfs2 and its capabilities, like ref-links ). The VI "raw-lun" repository, with a pure operating-system perspective, may be presented as in this picture: Infact on this "raw-lun" VI create an LVM2 volume-group. The VI "raw-lun" repository, with an hypervisor perspective, may be presented as in this picture: So, the relationships are: LVM2-Volume-Group <-> VI Repository LVM2-Logical-Volume <-> VI guest virtual-disk The first step is to present the VI repository ( raw-lun ) to your dedicated OVM-Server. Prepare dedicated OVM-Server On the OVM-Server ( OVS ) you need to discover new lun and, after that, discover volume-group and logical-volumes containted in VI repository; due to default OVS configuration you need to edit lvm2 configuration file: /etc/lvm/lvm.conf     # By default for OVS we restrict every block device:     # filter = [ "r/.*/" ] and comment the line starting with "filter" as above. Now you have to discover the raw-lun presented and, next, activate volume-group and logical-volumes: #!/bin/bash for HOST in `ls /sys/class/scsi_host`;do echo '- - -' > /sys/class/scsi_host/$HOST/scan; done CPATH=`pwd` cd /dev for DEVICE in `ls sd[a-z] sd?[a-z]`;do echo '1' > /sys/block/$DEVICE/device/rescan; done cd $CPATH cd /dev/mapper for PARTITION in `ls *[a-z] *?[a-z]`;do partprobe /dev/mapper/$PARTITION; done cd $CPATH vgchange -a yAfter that you will see a new device:[root@ovs01 ~]# cd /dev/6000F4B00000000000210135bef64994[root@ovs01 6000F4B00000000000210135bef64994]# ls -l 6000F4B0000000000061013* lrwxrwxrwx 1 root root 77 Oct 29 10:50 6000F4B00000000000610135c3a0b8cb -> /dev/mapper/6000F4B00000000000210135bef64994-6000F4B00000000000610135c3a0b8cb By your OVM-Manager create a guest server with the same definition as on VI:same core number as VI source guestsame memory as VI source guestsame number of disks as VI source guest ( you can create OVS virtual disk with a small size of 1GB because the "clone" will, eventually, extend the size of your new virtual disks )Summarizing:source-virtual-disk path ( VI ):/dev/mapper/6000F4B00000000000210135bef64994-6000F4B00000000000610135c3a0b8cbdest-virtual-disk path ( OVS ):/OVS/Repositories/0004fb00000300006cfeb81c12f12f00/VirtualDisks/0004fb000012000055e0fc4c5c8a35ee.img ** ** = to identify your virtual disk you have verify its name under the "vm.cfg" file of your new guest.Clone VI virtual-disk to OVS virtual-diskdd if=/dev/mapper/6000F4B00000000000210135bef64994-6000F4B00000000000610135c3a0b8cb of=/OVS/Repositories/0004fb00000300006cfeb81c12f12f00/VirtualDisks/0004fb000012000055e0fc4c5c8a35ee.img Clean unsupported parameters and changes on OVS.1. Restore original /etc/lvm/lvm.conf    # By default for OVS we restrict every block device:     filter = [ "r/.*/" ]    and uncomment the line starting with "filter" as above.2. Force-stop lvm2-monitor service  # service lvm2-monitor force-stop 3. Restore original /etc/lvm directories ( archive, backup and cache )  # cd /etc/lvm  # rm -fr archive backup cache; mkdir archive backup cache4. Reboot OVSRefresh OVS repository and start your guest.By OracleVM Manager refresh your repository:By OracleVM Manager start your "migrated" guest: Comments and corrections are welcome.  Simon COTER 

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  • Do PHP-FPM (and other PHP handlers) need execute permissions on the PHP files they're serving?

    - by Andrew Cheong
    I read in a post at Server Fault that PHP-FPM needs execute permissions. However, the answer in When creating a website, what permissions and directory structure? only grants read and write permissions to PHP-FPM. Maybe I don't quite understand how PHP handlers (or CGI in general) work, but the two claims seem contradictory to me. As I understand, when Apache / Nginx gets a request for foobar.php, it "passes" the file to an appropriate handler. That is, I imagine it's as if www-root (or apache or whomever the webserver's running as) were to run some command, /usr/sbin/php-fpm foobar.php Actually, no, that's naive, I just realized. PHP-FPM must be a running instance (if it's to be performant, and cache, etc.), so probably PHP-FPM is just being told, "Hey, quick, process this file for me!" In either case, I don't see why execute permissions are necessary. It's not like the webserver needs to literally execute the file, i.e. ./foobar.php Is the Server Fault answer simply mistaken?

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  • Any way for ubuntu to use more than one core of i7 cpu on my Asus laptop?

    - by G. He
    Newly installed ubuntu 11.10 on a new Asus U46E laptop. /proc/cpuinfo correctly identified the cpu but shows only one core: processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 42 model name : Intel(R) Core(TM) i7-2640M CPU @ 2.80GHz stepping : 7 cpu MHz : 800.000 cache size : 4096 KB physical id : 0 siblings : 1 core id : 0 cpu cores : 1 apicid : 0 initial apicid : 0 fpu : yes fpu_exception : yes cpuid level : 13 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx rdtscp lm constant_tsc up arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 cx16 xtpr pdcm sse4_1 sse4_2 x2apic popcnt aes xsave avx lahf_lm ida arat epb xsaveopt pln pts dts tpr_shadow vnmi flexpriority ept vpid bogomips : 5587.63 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 48 bits virtual power management: I search here and found the answer to one post suggesting remove boot parameter 'nolapic'. However, on my particular laptop, ubuntu won't boot without this nolapic parameter. Is there anyway for ubuntu correly utility the full cpu power?

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