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  • Meet the New Windows Azure

    - by ScottGu
    Today we are releasing a major set of improvements to Windows Azure.  Below is a short-summary of just a few of them: New Admin Portal and Command Line Tools Today’s release comes with a new Windows Azure portal that will enable you to manage all features and services offered on Windows Azure in a seamless, integrated way.  It is very fast and fluid, supports filtering and sorting (making it much easier to use for large deployments), works on all browsers, and offers a lot of great new features – including built-in VM, Web site, Storage, and Cloud Service monitoring support. The new portal is built on top of a REST-based management API within Windows Azure – and everything you can do through the portal can also be programmed directly against this Web API. We are also today releasing command-line tools (which like the portal call the REST Management APIs) to make it even easier to script and automate your administration tasks.  We are offering both a Powershell (for Windows) and Bash (for Mac and Linux) set of tools to download.  Like our SDKs, the code for these tools is hosted on GitHub under an Apache 2 license. Virtual Machines Windows Azure now supports the ability to deploy and run durable VMs in the cloud.  You can easily create these VMs using a new Image Gallery built-into the new Windows Azure Portal, or alternatively upload and run your own custom-built VHD images. Virtual Machines are durable (meaning anything you install within them persists across reboots) and you can use any OS with them.  Our built-in image gallery includes both Windows Server images (including the new Windows Server 2012 RC) as well as Linux images (including Ubuntu, CentOS, and SUSE distributions).  Once you create a VM instance you can easily Terminal Server or SSH into it in order to configure and customize the VM however you want (and optionally capture your own image snapshot of it to use when creating new VM instances).  This provides you with the flexibility to run pretty much any workload within Windows Azure.   The new Windows Azure Portal provides a rich set of management features for Virtual Machines – including the ability to monitor and track resource utilization within them.  Our new Virtual Machine support also enables the ability to easily attach multiple data-disks to VMs (which you can then mount and format as drives).  You can optionally enable geo-replication support on these – which will cause Windows Azure to continuously replicate your storage to a secondary data-center at least 400 miles away from your primary data-center as a backup. We use the same VHD format that is supported with Windows virtualization today (and which we’ve released as an open spec), which enables you to easily migrate existing workloads you might already have virtualized into Windows Azure.  We also make it easy to download VHDs from Windows Azure, which also provides the flexibility to easily migrate cloud-based VM workloads to an on-premise environment.  All you need to do is download the VHD file and boot it up locally, no import/export steps required. Web Sites Windows Azure now supports the ability to quickly and easily deploy ASP.NET, Node.js and PHP web-sites to a highly scalable cloud environment that allows you to start small (and for free) and then scale up as your traffic grows.  You can create a new web site in Azure and have it ready to deploy to in under 10 seconds: The new Windows Azure Portal provides built-in administration support for Web sites – including the ability to monitor and track resource utilization in real-time: You can deploy to web-sites in seconds using FTP, Git, TFS and Web Deploy.  We are also releasing tooling updates today for both Visual Studio and Web Matrix that enable developers to seamlessly deploy ASP.NET applications to this new offering.  The VS and Web Matrix publishing support includes the ability to deploy SQL databases as part of web site deployment – as well as the ability to incrementally update database schema with a later deployment. You can integrate web application publishing with source control by selecting the “Set up TFS publishing” or “Set up Git publishing” links on a web-site’s dashboard: Doing do will enable integration with our new TFS online service (which enables a full TFS workflow – including elastic build and testing support), or create a Git repository that you can reference as a remote and push deployments to.  Once you push a deployment using TFS or Git, the deployments tab will keep track of the deployments you make, and enable you to select an older (or newer) deployment and quickly redeploy your site to that snapshot of the code.  This provides a very powerful DevOps workflow experience.   Windows Azure now allows you to deploy up to 10 web-sites into a free, shared/multi-tenant hosting environment (where a site you deploy will be one of multiple sites running on a shared set of server resources).  This provides an easy way to get started on projects at no cost. You can then optionally upgrade your sites to run in a “reserved mode” that isolates them so that you are the only customer within a virtual machine: And you can elastically scale the amount of resources your sites use – allowing you to increase your reserved instance capacity as your traffic scales: Windows Azure automatically handles load balancing traffic across VM instances, and you get the same, super fast, deployment options (FTP, Git, TFS and Web Deploy) regardless of how many reserved instances you use. With Windows Azure you pay for compute capacity on a per-hour basis – which allows you to scale up and down your resources to match only what you need. Cloud Services and Distributed Caching Windows Azure also supports the ability to build cloud services that support rich multi-tier architectures, automated application management, and scale to extremely large deployments.  Previously we referred to this capability as “hosted services” – with this week’s release we are now referring to this capability as “cloud services”.  We are also enabling a bunch of new features with them. Distributed Cache One of the really cool new features being enabled with cloud services is a new distributed cache capability that enables you to use and setup a low-latency, in-memory distributed cache within your applications.  This cache is isolated for use just by your applications, and does not have any throttling limits. This cache can dynamically grow and shrink elastically (without you have to redeploy your app or make code changes), and supports the full richness of the AppFabric Cache Server API (including regions, high availability, notifications, local cache and more).  In addition to supporting the AppFabric Cache Server API, it also now supports the Memcached protocol – allowing you to point code written against Memcached at it (no code changes required). The new distributed cache can be setup to run in one of two ways: 1) Using a co-located approach.  In this option you allocate a percentage of memory in your existing web and worker roles to be used by the cache, and then the cache joins the memory into one large distributed cache.  Any data put into the cache by one role instance can be accessed by other role instances in your application – regardless of whether the cached data is stored on it or another role.  The big benefit with the “co-located” option is that it is free (you don’t have to pay anything to enable it) and it allows you to use what might have been otherwise unused memory within your application VMs. 2) Alternatively, you can add “cache worker roles” to your cloud service that are used solely for caching.  These will also be joined into one large distributed cache ring that other roles within your application can access.  You can use these roles to cache 10s or 100s of GBs of data in-memory very effectively – and the cache can be elastically increased or decreased at runtime within your application: New SDKs and Tooling Support We have updated all of the Windows Azure SDKs with today’s release to include new features and capabilities.  Our SDKs are now available for multiple languages, and all of the source in them is published under an Apache 2 license and and maintained in GitHub repositories. The .NET SDK for Azure has in particular seen a bunch of great improvements with today’s release, and now includes tooling support for both VS 2010 and the VS 2012 RC. We are also now shipping Windows, Mac and Linux SDK downloads for languages that are offered on all of these systems – allowing developers to develop Windows Azure applications using any development operating system. Much, Much More The above is just a short list of some of the improvements that are shipping in either preview or final form today – there is a LOT more in today’s release.  These include new Virtual Private Networking capabilities, new Service Bus runtime and tooling support, the public preview of the new Azure Media Services, new Data Centers, significantly upgraded network and storage hardware, SQL Reporting Services, new Identity features, support within 40+ new countries and territories, and much, much more. You can learn more about Windows Azure and sign-up to try it for free at http://windowsazure.com.  You can also watch a live keynote I’m giving at 1pm June 7th (later today) where I’ll walk through all of the new features.  We will be opening up the new features I discussed above for public usage a few hours after the keynote concludes.  We are really excited to see the great applications you build with them. Hope this helps, Scott

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  • Varnish default.vcl grace period

    - by Vladimir
    These are my settings for a grace period (/etc/varnish/default.vcl) sub vcl_recv { .... set req.grace = 360000s; ... } sub vcl_fetch { ... set beresp.grace = 360000s; ... } I tested Varnish using localhost and nodejs as a server. I started localhost, the site was up. Then I disconnected server and the site got disconnected in less than 2 min. It says: Error 503 Service Unavailable Service Unavailable Guru Meditation: XID: 1890127100 Varnish cache server Could you tell me what could be the problem? sub vcl_fetch { if (beresp.ttl < 120s) { ##std.log("Adjusting TTL"); set beresp.ttl = 36000s; ##120s; } # Do not cache the object if the backend application does not want us to. if (beresp.http.Cache-Control ~ "(no-cache|no-store|private|must-revalidate)") { return(hit_for_pass); } # Do not cache the object if the status is not in the 200s if (beresp.status >= 300) { # Remove the Set-Cookie header #remove beresp.http.Set-Cookie; return(hit_for_pass); } # # Everything below here should be cached # # Remove the Set-Cookie header ####remove beresp.http.Set-Cookie; # Set the grace time ## set beresp.grace = 1s; //change this to minutes in case of app shutdown set beresp.grace = 360000s; ## 10 hour - reduce if it has negative impact # Static assets - browser caches tpiphem for a long time. if (req.url ~ "\.(css|js|.js|jpg|jpeg|gif|ico|png)\??\d*$") { /* Remove Expires from backend, it's not long enough */ unset beresp.http.expires; /* Set the clients TTL on this object */ set beresp.http.cache-control = "public, max-age=31536000"; /* marker for vcl_deliver to reset Age: */ set beresp.http.magicmarker = "1"; } else { set beresp.http.Cache-Control = "private, max-age=0, must-revalidate"; set beresp.http.Pragma = "no-cache"; } if (req.url ~ "\.(css|js|min|)\??\d*$") { set beresp.do_gzip = true; unset beresp.http.expires; set beresp.http.cache-control = "public, max-age=31536000"; set beresp.http.expires = beresp.ttl; set beresp.http.age = "0"; } ##do not duplicate these settings if (req.url ~ ".css") { set beresp.do_gzip = true; unset beresp.http.expires; set beresp.http.cache-control = "public, max-age=31536000"; set beresp.http.expires = beresp.ttl; set beresp.http.age = "0"; } if (req.url ~ ".js") { set beresp.do_gzip = true; unset beresp.http.expires; set beresp.http.cache-control = "public, max-age=31536000"; set beresp.http.expires = beresp.ttl; set beresp.http.age = "0"; } if (req.url ~ ".min") { set beresp.do_gzip = true; unset beresp.http.expires; set beresp.http.cache-control = "public, max-age=31536000"; set beresp.http.expires = beresp.ttl; set beresp.http.age = "0"; } ## If the request to the backend returns a code other than 200, restart the loop ## If the number of restarts reaches the value of the parameter max_restarts, ## the request will be error'ed. max_restarts defaults to 4. This prevents ## an eternal loop in the event that, e.g., the object does not exist at all. if (beresp.status != 200 && beresp.status != 403 && beresp.status != 404) { return(restart); } if (beresp.status == 302) { return(deliver); } # Never cache posts if (req.url ~ "\/post\/" || req.url ~ "\/submit\/" || req.url ~ "\/ask\/" || req.url ~ "\/add\/") { return(hit_for_pass); } ##check this setting to ensure that it does not cause issues for browsers with no gzip if (beresp.http.content-type ~ "text") { set beresp.do_gzip = true; } if (beresp.http.Set-Cookie) { return(deliver); } ##if (req.url == "/index.html") { set beresp.do_esi = true; ##} ## check if this is needed or should be used # return(deliver); the object return(deliver); } sub vcl_recv { ##avoid leeching of images call hot_link; set req.grace = 360000s; ##2m ## if one backend is down - use another if (req.restarts == 0) { set req.backend = cache_director; ##we can specify individual VMs } else if (req.restarts == 1) { set req.backend = cache_director; } ## post calls should not be cached - add cookie for these requests if using micro-caching # Pass requests that are not GET or HEAD if (req.request != "GET" && req.request != "HEAD") { return(pass); ## return(pass) goes to backend - not cache } # Don't cache the result of a redirect if (req.http.Referer ~ "redir" || req.http.Origin ~ "jumpto") { return(pass); } # Don't cache the result of a redirect (asking for logon) if (req.http.Referer ~ "post" || req.http.Referer ~ "submit" || req.http.Referer ~ "add" || req.http.Referer ~ "ask") { return(pass); } # Never cache posts - ensure that we do not use these strings in our URLs' that need to be cached if (req.url ~ "\/post\/" || req.url ~ "\/submit\/" || req.url ~ "\/ask\/" || req.url ~ "\/add\/") { return(pass); } ## if (req.http.Authorization || req.http.Cookie) { if (req.http.Authorization) { /* Not cacheable by default */ return (pass); } # Handle compression correctly. Different browsers send different # "Accept-Encoding" headers, even though they mostly all support the same # compression mechanisms. By consolidating these compression headers into # a consistent format, we can reduce the size of the cache and get more hits. # @see: http:// varnish.projects.linpro.no/wiki/FAQ/Compression if (req.http.Accept-Encoding) { if (req.url ~ "\.(jpg|png|gif|gz|tgz|bz2|tbz|mp3|ogg|ico)$") { # No point in compressing these remove req.http.Accept-Encoding; } else if (req.http.Accept-Encoding ~ "gzip") { # If the browser supports it, we'll use gzip. set req.http.Accept-Encoding = "gzip"; } else if (req.http.Accept-Encoding ~ "deflate") { # Next, try deflate if it is supported. set req.http.Accept-Encoding = "deflate"; } else { # Unknown algorithm. Remove it and send unencoded. unset req.http.Accept-Encoding; } } # lookup graphics, css, js & ico files in the cache if (req.url ~ "\.(png|gif|jpg|jpeg|css|.js|ico)$") { return(lookup); } ##added on 0918 - check if it causes issues with user specific content if (req.request == "GET" && req.http.cookie) { return(lookup); } # Pipe requests that are non-RFC2616 or CONNECT which is weird. if (req.request != "GET" && req.request != "HEAD" && req.request != "PUT" && req.request != "POST" && req.request != "TRACE" && req.request != "OPTIONS" && req.request != "DELETE") { ##closing connection and calling pipe return(pipe); } ##purge content via localhost only if (req.request == "PURGE") { if (!client.ip ~ purge) { error 405 "Not allowed."; } return(lookup); } ## do we need this? ## return(lookup); }

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  • Errors Code: /var/cache/apt/archives/linux-image-3.8.0-19-generic_3.8.0-19.30~precise1_amd64.deb

    - by user286682
    $ sudo apt-get dist-upgrade Reading package lists... Done Building dependency tree Reading state information... Done Calculating upgrade... Done The following packages will be upgraded: linux-image-3.8.0-19-generic 1 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. 6 not fully installed or removed. Need to get 0 B/47.8 MB of archives. After this operation, 142 MB of additional disk space will be used. Do you want to continue [Y/n]? y (Reading database ... 164064 files and directories currently installed.) Preparing to replace linux-image-3.8.0-19-generic 3.8.0-19.29 (using .../linux-image-3.8.0-19-generic_3.8.0-19.30~precise1_amd64.deb) ... Done. Unpacking replacement linux-image-3.8.0-19-generic ... dpkg: error processing /var/cache/apt/archives/linux-image-3.8.0-19-generic_3.8.0-19.30~precise1_amd64.deb (--unpack): trying to overwrite '/lib/modules/3.8.0-19-generic/kernel/arch/x86/kvm/kvm-intel.ko', which is also in package linux-image-extra-3.8.0-19-generic 3.8.0-19.29 dpkg-deb: error: subprocess paste was killed by signal (Broken pipe) Examining /etc/kernel/postrm.d . run-parts: executing /etc/kernel/postrm.d/initramfs-tools 3.8.0-19-generic /boot/vmlinuz-3.8.0-19-generic run-parts: executing /etc/kernel/postrm.d/zz-update-grub 3.8.0-19-generic /boot/vmlinuz-3.8.0-19-generic Errors were encountered while processing: /var/cache/apt/archives/linux-image-3.8.0-19-generic_3.8.0-19.30~precise1_amd64.deb E: Sub-process /usr/bin/dpkg returned an error code (1) How can I get this update to work?

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  • Caching queries in Django

    - by dolma33
    In a django project I only need to cache a few queries, using, because of server limitations, a cache table instead of memcached. One of those queries looks like this: Let's say I have a Parent object, which has a lot of Child objects. I need to store the result of the simple query parent.childs.all(). I have no problem with that, and everything works as expected with some code like key = "%s_children" %(parent.name) value = cache.get(key) if value is None: cache.set(key, parent.children.all(), CACHE_TIMEOUT) value = cache.get(key) But sometimes, just sometimes, the cache.set does nothing, and, after executing cache.set, cache.get(key) keeps returning None. After some test, I've noticed that cache.set is not working when parent.children.all().count() has higher values. That means that if I'm storing inside of key (for example) 600 children objects, it works fine, but it wont work with 1200 children. So my question is: is there a limit to the data that a key could store? How can I override it? Second question: which way is "better", the above code, or the following one? key = "%s_children" %(parent.name) value = cache.get(key) if value is None: value = parent.children.all() cache.set(key, value, CACHE_TIMEOUT) The second version won't cause errors if cache.set doesn't work, so it could be a workaround to my issue, but obviously not a solution. In general, let's forget about my issue, which version would you consider "better"?

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  • Should I use /etc/bind/zones/ or /var/cache/bind/?

    - by nbolton
    Each tutorial seems to have a different opinion on this. For my ISC BIND zones, should I use /etc/bind/zones/ or /var/cache/bind/? In the last install, I used /var/cache/bind/ but only because I was guided to do so; however I just spotted a pid file in there for this new Debian install, so I figured that using the "working directory" to store zone files probably wasn't the best idea. It seems that many admins use this so they don't have to type the full path when declaring a new zone. For example: file "/etc/bind/zones/db.foobar.com"; Instead of: file "db.foobar.com"; Is obviously easier to type, but is it good or bad practice? Some may also suggest setting the working directory to /etc/bind/zones: options { // directory "/var/cache/bind"; directory "/etc/bind/zones"; } ... but something tells me this isn't good practice, since the pid file would be created there I assume (unless it's just in /var/cache/bind by coincidence). I took a look at the manpage but it didn't seem to say what the directory option was for, any ideas exactly what it was design for?

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  • What's with the accesses to $random_existing_file/cache/df.php?

    - by Bernd Jendrissek
    Occasionally I eyeball Apache's access_log and lately I've been noticing these accesses to URLs that I don't serve. They're correctly 404'ed, but I'd like to know just who and what is involved here. "Obviously" it's some sort of vulnerability probing; I'd like to know which. (Not that it affects me, but I like to know the score.) Here's an example: 69.89.31.206 - - [28/Nov/2012:17:36:34 +0200] "GET /cvfull.pdf/cache/df.php HTTP/1.1" 404 489 "-" "-" Oddly, all 26 attempts are to either /cache/df.php, or to /cvfull.pdf/cache/df.php - they come in pairs. A few weeks ago it was zx.php, now it's df.php - I'm assuming the target is the same. Perhaps I should be flattered that a script is thinking of hiring me. Seriously, my CV is one of only two PDF files on my site, so I can only guess that non-PDF URLs aren't interesting? I've tried Googling for "cache df php", but my Google-fu is weak at the best of times, so I can only find a few reports of other script attacks. What's the vulnerability being scanned for here?

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  • Can you share offline files cache with two user accounts?

    - by Joel Coehoorn
    I have a new laptop that I use for both home and work. It runs windows 7 ultimate, and is joined to the domain at work. It is okay to use this laptop for both work and personal activities, and I even have an account set up on the local machine in addition to the work domain account specifically for this to help keep the two separate. At home, I have a file server that I use to share files and printers with my wife's laptop, this new laptop, and my old desktop which will now become the family machine. My mp3 library is on there, among other things. What I want to do is use the windows Offline Files feature to keep a synced copy of my music library on the laptop. That part is easy. What's tricky is that I want to share this offline cache between both the local account on the laptop and my work domain account. I could do them both separately, but then I have two copies of a very large music library stored locally. This also means twice the sync burden, when the domain account is rarely connected to the file share. I really want to be able to sync from the local machine account only, and have the domain account be able to use the synced files. I know where the offline file cache is kept (\Windows\CSC) and I can find the cached files (not encrypted), but permissions on the cache are setup weird, and so using that cache directly is not trivial. Any ideas appreciated.

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  • How can I configure apache to cache the images that it is serving? Right now it is giving headers t

    - by Tchalvak
    Serving up images that don't seem to cache There's a LAPP (postgresql instead of mysql) running over on http://ninjawars.net. I just recently noticed that images don't seem to be caching with any kind of good frequency as I was reloading a page with a few images on it here: http://www.ninjawars.net/attack_player.php Here is an example image (they're probably all being served exactly the same): http://www.ninjawars.net/images/characters/fighter.png Checking the header, it seems that the caching is set to: Cache-Control:max-age=0 (the full header for this image-like-all-the-others is... Request URL:http://www.ninjawars.net/images/characters/fighter.png Request Method:GET Status Code:200 OK Request Headers Accept:application/xml,application/xhtml+xml,text/html;q=0.9,text/plain;q=0.8,image/png,/;q=0.5 Cache-Control:max-age=0 Referer:http://www.ninjawars.net/images/characters/fighter.png User-Agent:Mozilla/5.0 (X11; U; Linux x86_64; en-US) AppleWebKit/533.4 (KHTML, like Gecko) Chrome/5.0.375.3 Safari/533.4 Response Headers Accept-Ranges:bytes Content-Length:938 Content-Type:image/png Date:Thu, 13 May 2010 21:24:07 GMT ETag:"ffd4d-3aa-4837efc120540" Last-Modified:Mon, 05 Apr 2010 15:28:45 GMT Server:Apache ) So what modules or config or htaccess or whatever do I change to have it cache images, e.g. for 24 hours?

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  • Installing Lubuntu 14.04.1 forcepae fails

    - by Rantanplan
    I tried to install Lubuntu 14.04.1 from a CD. First, I chose Try Lubuntu without installing which gave: ERROR: PAE is disabled on this Pentium M (PAE can potentially be enabled with kernel parameter "forcepae" ... Following the description on https://help.ubuntu.com/community/PAE, I used forcepae and tried Try Lubuntu without installing again. That worked fine. dmesg | grep -i pae showed: [ 0.000000] Kernel command line: file=/cdrom/preseed/lubuntu.seed boot=casper initrd=/casper/initrd.lz quiet splash -- forcepae [ 0.008118] PAE forced! On the live-CD session, I tried installing Lubuntu double clicking on the install button on the desktop. Here, the CD starts running but then stops running and nothing happens. Next, I rebooted and tried installing Lubuntu directly from the boot menu screen using forcepae again. After a while, I receive the following error message: The installer encountered an unrecoverable error. A desktop session will now be run so that you may investigate the problem or try installing again. Hitting Enter brings me to the desktop. For what errors should I search? And how? Finally, I rebooted once more and tried Check disc for defects with forcepae option; no errors have been found. Now, I am wondering how to find the error or whether it would be better to follow advice c in https://help.ubuntu.com/community/PAE: "Move the hard disk to a computer on which the processor has PAE capability and PAE flag (that is, almost everything else than a Banias). Install the system as usual but don't add restricted drivers. After the install move the disk back." Thanks for some hints! Perhaps some of the following can help: On Lubuntu 12.04: cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 13 model name : Intel(R) Pentium(R) M processor 1.50GHz stepping : 6 microcode : 0x17 cpu MHz : 600.000 cache size : 2048 KB fdiv_bug : no hlt_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 2 wp : yes flags : fpu vme de pse tsc msr mce cx8 mtrr pge mca cmov clflush dts acpi mmx fxsr sse sse2 ss tm pbe up bts est tm2 bogomips : 1284.76 clflush size : 64 cache_alignment : 64 address sizes : 32 bits physical, 32 bits virtual power management: uname -a Linux humboldt 3.2.0-67-generic #101-Ubuntu SMP Tue Jul 15 17:45:51 UTC 2014 i686 i686 i386 GNU/Linux lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 12.04.5 LTS Release: 12.04 Codename: precise cpuid eax in eax ebx ecx edx 00000000 00000002 756e6547 6c65746e 49656e69 00000001 000006d6 00000816 00000180 afe9f9bf 00000002 02b3b001 000000f0 00000000 2c04307d 80000000 80000004 00000000 00000000 00000000 80000001 00000000 00000000 00000000 00000000 80000002 20202020 20202020 65746e49 2952286c 80000003 6e655020 6d756974 20295228 7270204d 80000004 7365636f 20726f73 30352e31 007a4847 Vendor ID: "GenuineIntel"; CPUID level 2 Intel-specific functions: Version 000006d6: Type 0 - Original OEM Family 6 - Pentium Pro Model 13 - Stepping 6 Reserved 0 Brand index: 22 [not in table] Extended brand string: " Intel(R) Pentium(R) M processor 1.50GHz" CLFLUSH instruction cache line size: 8 Feature flags afe9f9bf: FPU Floating Point Unit VME Virtual 8086 Mode Enhancements DE Debugging Extensions PSE Page Size Extensions TSC Time Stamp Counter MSR Model Specific Registers MCE Machine Check Exception CX8 COMPXCHG8B Instruction SEP Fast System Call MTRR Memory Type Range Registers PGE PTE Global Flag MCA Machine Check Architecture CMOV Conditional Move and Compare Instructions FGPAT Page Attribute Table CLFSH CFLUSH instruction DS Debug store ACPI Thermal Monitor and Clock Ctrl MMX MMX instruction set FXSR Fast FP/MMX Streaming SIMD Extensions save/restore SSE Streaming SIMD Extensions instruction set SSE2 SSE2 extensions SS Self Snoop TM Thermal monitor 31 reserved TLB and cache info: b0: unknown TLB/cache descriptor b3: unknown TLB/cache descriptor 02: Instruction TLB: 4MB pages, 4-way set assoc, 2 entries f0: unknown TLB/cache descriptor 7d: unknown TLB/cache descriptor 30: unknown TLB/cache descriptor 04: Data TLB: 4MB pages, 4-way set assoc, 8 entries 2c: unknown TLB/cache descriptor On Lubuntu 14.04.1 live-CD with forcepae: cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 13 model name : Intel(R) Pentium(R) M processor 1.50GHz stepping : 6 microcode : 0x17 cpu MHz : 600.000 cache size : 2048 KB physical id : 0 siblings : 1 core id : 0 cpu cores : 1 apicid : 0 initial apicid : 0 fdiv_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 2 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 sep mtrr pge mca cmov clflush dts acpi mmx fxsr sse sse2 ss tm pbe bts est tm2 bogomips : 1284.68 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 32 bits virtual power management: uname -a Linux lubuntu 3.13.0-32-generic #57-Ubuntu SMP Tue Jul 15 03:51:12 UTC 2014 i686 i686 i686 GNU/Linux lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 14.04.1 LTS Release: 14.04 Codename: trusty cpuid CPU 0: vendor_id = "GenuineIntel" version information (1/eax): processor type = primary processor (0) family = Intel Pentium Pro/II/III/Celeron/Core/Core 2/Atom, AMD Athlon/Duron, Cyrix M2, VIA C3 (6) model = 0xd (13) stepping id = 0x6 (6) extended family = 0x0 (0) extended model = 0x0 (0) (simple synth) = Intel Pentium M (Dothan B1) / Celeron M (Dothan B1), 90nm miscellaneous (1/ebx): process local APIC physical ID = 0x0 (0) cpu count = 0x0 (0) CLFLUSH line size = 0x8 (8) brand index = 0x16 (22) brand id = 0x16 (22): Intel Pentium M, .13um feature information (1/edx): x87 FPU on chip = true virtual-8086 mode enhancement = true debugging extensions = true page size extensions = true time stamp counter = true RDMSR and WRMSR support = true physical address extensions = false machine check exception = true CMPXCHG8B inst. = true APIC on chip = false SYSENTER and SYSEXIT = true memory type range registers = true PTE global bit = true machine check architecture = true conditional move/compare instruction = true page attribute table = true page size extension = false processor serial number = false CLFLUSH instruction = true debug store = true thermal monitor and clock ctrl = true MMX Technology = true FXSAVE/FXRSTOR = true SSE extensions = true SSE2 extensions = true self snoop = true hyper-threading / multi-core supported = false therm. monitor = true IA64 = false pending break event = true feature information (1/ecx): PNI/SSE3: Prescott New Instructions = false PCLMULDQ instruction = false 64-bit debug store = false MONITOR/MWAIT = false CPL-qualified debug store = false VMX: virtual machine extensions = false SMX: safer mode extensions = false Enhanced Intel SpeedStep Technology = true thermal monitor 2 = true SSSE3 extensions = false context ID: adaptive or shared L1 data = false FMA instruction = false CMPXCHG16B instruction = false xTPR disable = false perfmon and debug = false process context identifiers = false direct cache access = false SSE4.1 extensions = false SSE4.2 extensions = false extended xAPIC support = false MOVBE instruction = false POPCNT instruction = false time stamp counter deadline = false AES instruction = false XSAVE/XSTOR states = false OS-enabled XSAVE/XSTOR = false AVX: advanced vector extensions = false F16C half-precision convert instruction = false RDRAND instruction = false hypervisor guest status = false cache and TLB information (2): 0xb0: instruction TLB: 4K, 4-way, 128 entries 0xb3: data TLB: 4K, 4-way, 128 entries 0x02: instruction TLB: 4M pages, 4-way, 2 entries 0xf0: 64 byte prefetching 0x7d: L2 cache: 2M, 8-way, sectored, 64 byte lines 0x30: L1 cache: 32K, 8-way, 64 byte lines 0x04: data TLB: 4M pages, 4-way, 8 entries 0x2c: L1 data cache: 32K, 8-way, 64 byte lines extended feature flags (0x80000001/edx): SYSCALL and SYSRET instructions = false execution disable = false 1-GB large page support = false RDTSCP = false 64-bit extensions technology available = false Intel feature flags (0x80000001/ecx): LAHF/SAHF supported in 64-bit mode = false LZCNT advanced bit manipulation = false 3DNow! PREFETCH/PREFETCHW instructions = false brand = " Intel(R) Pentium(R) M processor 1.50GHz" (multi-processing synth): none (multi-processing method): Intel leaf 1 (synth) = Intel Pentium M (Dothan B1), 90nm

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  • NUMA-aware placement of communication variables

    - by Dave
    For classic NUMA-aware programming I'm typically most concerned about simple cold, capacity and compulsory misses and whether we can satisfy the miss by locally connected memory or whether we have to pull the line from its home node over the coherent interconnect -- we'd like to minimize channel contention and conserve interconnect bandwidth. That is, for this style of programming we're quite aware of where memory is homed relative to the threads that will be accessing it. Ideally, a page is collocated on the node with the thread that's expected to most frequently access the page, as simple misses on the page can be satisfied without resorting to transferring the line over the interconnect. The default "first touch" NUMA page placement policy tends to work reasonable well in this regard. When a virtual page is first accessed, the operating system will attempt to provision and map that virtual page to a physical page allocated from the node where the accessing thread is running. It's worth noting that the node-level memory interleaving granularity is usually a multiple of the page size, so we can say that a given page P resides on some node N. That is, the memory underlying a page resides on just one node. But when thinking about accesses to heavily-written communication variables we normally consider what caches the lines underlying such variables might be resident in, and in what states. We want to minimize coherence misses and cache probe activity and interconnect traffic in general. I don't usually give much thought to the location of the home NUMA node underlying such highly shared variables. On a SPARC T5440, for instance, which consists of 4 T2+ processors connected by a central coherence hub, the home node and placement of heavily accessed communication variables has very little impact on performance. The variables are frequently accessed so likely in M-state in some cache, and the location of the home node is of little consequence because a requester can use cache-to-cache transfers to get the line. Or at least that's what I thought. Recently, though, I was exploring a simple shared memory point-to-point communication model where a client writes a request into a request mailbox and then busy-waits on a response variable. It's a simple example of delegation based on message passing. The server polls the request mailbox, and having fetched a new request value, performs some operation and then writes a reply value into the response variable. As noted above, on a T5440 performance is insensitive to the placement of the communication variables -- the request and response mailbox words. But on a Sun/Oracle X4800 I noticed that was not the case and that NUMA placement of the communication variables was actually quite important. For background an X4800 system consists of 8 Intel X7560 Xeons . Each package (socket) has 8 cores with 2 contexts per core, so the system is 8x8x2. Each package is also a NUMA node and has locally attached memory. Every package has 3 point-to-point QPI links for cache coherence, and the system is configured with a twisted ladder "mobius" topology. The cache coherence fabric is glueless -- there's not central arbiter or coherence hub. The maximum distance between any two nodes is just 2 hops over the QPI links. For any given node, 3 other nodes are 1 hop distant and the remaining 4 nodes are 2 hops distant. Using a single request (client) thread and a single response (server) thread, a benchmark harness explored all permutations of NUMA placement for the two threads and the two communication variables, measuring the average round-trip-time and throughput rate between the client and server. In this benchmark the server simply acts as a simple transponder, writing the request value plus 1 back into the reply field, so there's no particular computation phase and we're only measuring communication overheads. In addition to varying the placement of communication variables over pairs of nodes, we also explored variations where both variables were placed on one page (and thus on one node) -- either on the same cache line or different cache lines -- while varying the node where the variables reside along with the placement of the threads. The key observation was that if the client and server threads were on different nodes, then the best placement of variables was to have the request variable (written by the client and read by the server) reside on the same node as the client thread, and to place the response variable (written by the server and read by the client) on the same node as the server. That is, if you have a variable that's to be written by one thread and read by another, it should be homed with the writer thread. For our simple client-server model that means using split request and response communication variables with unidirectional message flow on a given page. This can yield up to twice the throughput of less favorable placement strategies. Our X4800 uses the QPI 1.0 protocol with source-based snooping. Briefly, when node A needs to probe a cache line it fires off snoop requests to all the nodes in the system. Those recipients then forward their response not to the original requester, but to the home node H of the cache line. H waits for and collects the responses, adjudicates and resolves conflicts and ensures memory-model ordering, and then sends a definitive reply back to the original requester A. If some node B needed to transfer the line to A, it will do so by cache-to-cache transfer and let H know about the disposition of the cache line. A needs to wait for the authoritative response from H. So if a thread on node A wants to write a value to be read by a thread on node B, the latency is dependent on the distances between A, B, and H. We observe the best performance when the written-to variable is co-homed with the writer A. That is, we want H and A to be the same node, as the writer doesn't need the home to respond over the QPI link, as the writer and the home reside on the very same node. With architecturally informed placement of communication variables we eliminate at least one QPI hop from the critical path. Newer Intel processors use the QPI 1.1 coherence protocol with home-based snooping. As noted above, under source-snooping a requester broadcasts snoop requests to all nodes. Those nodes send their response to the home node of the location, which provides memory ordering, reconciles conflicts, etc., and then posts a definitive reply to the requester. In home-based snooping the snoop probe goes directly to the home node and are not broadcast. The home node can consult snoop filters -- if present -- and send out requests to retrieve the line if necessary. The 3rd party owner of the line, if any, can respond either to the home or the original requester (or even to both) according to the protocol policies. There are myriad variations that have been implemented, and unfortunately vendor terminology doesn't always agree between vendors or with the academic taxonomy papers. The key is that home-snooping enables the use of a snoop filter to reduce interconnect traffic. And while home-snooping might have a longer critical path (latency) than source-based snooping, it also may require fewer messages and less overall bandwidth. It'll be interesting to reprise these experiments on a platform with home-based snooping. While collecting data I also noticed that there are placement concerns even in the seemingly trivial case when both threads and both variables reside on a single node. Internally, the cores on each X7560 package are connected by an internal ring. (Actually there are multiple contra-rotating rings). And the last-level on-chip cache (LLC) is partitioned in banks or slices, which with each slice being associated with a core on the ring topology. A hardware hash function associates each physical address with a specific home bank. Thus we face distance and topology concerns even for intra-package communications, although the latencies are not nearly the magnitude we see inter-package. I've not seen such communication distance artifacts on the T2+, where the cache banks are connected to the cores via a high-speed crossbar instead of a ring -- communication latencies seem more regular.

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  • Silverlight and WCF caching

    - by subodhnpushpak
    There are scenarios where Silverlight client calls WCF (or REST) service for data. Now, if the data is cached on the WCF layer, the calls can take considerable resources at the server if NOT cached. Keeping that in mind along with the fact that cache is an cross-cutting aspect, and therefore it should be as easy as possible to put Cache wherever required. The good thing about the solution is that it caches based on the inputs. The input can be basic type of any complex type. If input changes the data is fetched and then cached for further used. If same input is provided again, data id fetched from the cache. The cache logic itself is implemented as PostSharp aspect, and it is as easy as putting an attribute over service call to switch on cache. Notice how clean the code is:        [OperationContract]       [CacheOnArgs(typeof(int))] // based on actual value of cache        public string DoWork(int value)        {            return string.Format("You entered: {0} @ cached time {1}", value, System.DateTime.Now);        } The cache is implemented as POST Sharp as below 1: public override void OnInvocation(MethodInvocationEventArgs eventArgs) 2: { 3: try 4: { 5: object value = new object(); 6: object[] args = eventArgs.GetArgumentArray(); 7: if (args != null || args.Count() > 0) 8: { 9:   10: string key = string.Format("{0}_{1}", eventArgs.Method.Name, XMLUtility<object>.GetDataContractXml(args[0], null));// Compute the cache key (details omitted). 11:   12: 13: value = GetFromCache(key); 14: if (value == null) 15: { 16: eventArgs.Proceed(); 17: value = XMLUtility<object>.GetDataContractXml(eventArgs.ReturnValue, null); 18: value = eventArgs.ReturnValue; 19: AddToCache(key, value); 20: return; 21: } 22:   23:   24: Log(string.Format("Data returned from Cache {0}",value)); 25: eventArgs.ReturnValue = value; 26: } 27: } 28: catch (Exception ex) 29: { 30: //ApplicationLogger.LogException(ex.Message, Source.UtilityService); 31: } 32: } 33:   34: private object GetFromCache(string inputKey) { if (ServerConfig.CachingEnabled) { return WCFCache.Current[inputKey]; } return null; }private void AddToCache(string inputKey,object outputValue) 35: { 36: if (ServerConfig.CachingEnabled) 37: { 38: if (WCFCache.Current.CachedItemsNumber < ServerConfig.NumberOfCachedItems) 39: { 40: if (ServerConfig.SlidingExpirationTime <= 0 || ServerConfig.SlidingExpirationTime == int.MaxValue) 41: { 42: WCFCache.Current[inputKey] = outputValue; 43: } 44: else 45: { 46: WCFCache.Current.Insert(inputKey, outputValue, new TimeSpan(0, 0, ServerConfig.SlidingExpirationTime), true); 47:   48: // _bw.DoWork += bw_DoWork; 49: //string arg = string.Format("{0}|{1}", inputKey,outputValue); 50: //_bw.RunWorkerAsync(inputKey ); 51: } 52: } 53: } 54: }     The cache class can be extended to support Velocity / memcahe / Nache. the attribute can be used over REST services as well. Hope the above helps. Here is the code base for the same.   Please do provide your inputs / comments.

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  • UITableView UITableViewCell not reloading on reloadData

    - by David van Dugteren
    This question has been asked a few times now, but there exists no answer on the web that has solved the problem for me yet... See the code: { const NSInteger TOP_LABEL_TAG = 1001; static NSString *CellIdentifier = @"CellIdentifier"; UITableViewCell *cell = [theTableView dequeueReusableCellWithIdentifier:CellIdentifier]; if (cell == nil) { cell = [[[UITableViewCell alloc] initWithStyle:UITableViewCellStyleDefault reuseIdentifier:CellIdentifier] autorelease]; } getAQuestionToAnswer = [[QuestionsToAnswer sharedInstance] getLatestLoadedQuestion]; UILabel *topLabel; topLabel = [[[UILabel alloc] initWithFrame: CGRectMake ( 50, 18, 260, 75)] autorelease]; [cell.contentView addSubview:topLabel]; topLabel.tag = TOP_LABEL_TAG; topLabel.backgroundColor = [UIColor clearColor]; topLabel.textColor = [UIColor colorWithRed:0.25 green:0.0 blue:0.0 alpha:1.0]; topLabel.highlightedTextColor = [UIColor colorWithRed:1.0 green:1.0 blue:0.9 alpha:1.0]; [topLabel setFont:[UIFont fontWithName:@"MarkerFelt-Thin" size:13]]; topLabel.numberOfLines = 4; topLabel = (UILabel *)[cell viewWithTag:TOP_LABEL_TAG]; topLabel.text = [NSString stringWithFormat:@"%@", [getAQuestionToAnswer valueForKey:@"question"] ]; Some code is omitted but the basics is there, I'm updating by means of a shake gesture, the NSLog confirms that the getAQuestionToAnswer is indeed updated with a new question after the gesture. Yet at run time, no matter what I do... e.g. [self.tableview reloaddata]; nothing works. It just doesn't want to refresh.

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  • fresh_when in ruby not working with xml rendering

    - by Guilherme Silveira
    While trying to implement support for conditional GETting in a rest system, we have come across the fresh_when and stale? methods. The following code works fine with 304 and not further rendering: if stale?(:etag = resource, :last_modified = resource.updated_at.utc) respond_to do |format| format.html # show.html.erb } end end But accessing 1.xml will try to render the resource twice: if stale?(:etag => resource, :last_modified => resource.updated_at.utc) respond_to do |format| format.html # show.html.erb format.xml { render :xml => @order.to_xml(:controller => self, :except => [:paid_at]) } end end The error message: ActionController::DoubleRenderError in OrdersController#show Can only render or redirect once per action RAILS_ROOT: /Users/guilherme/Documents/ruby/restfulie-test Application Trace | Framework Trace | Full Trace /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:900:in render_without_benchmark' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/benchmarking.rb:51:in render' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:17:in ms' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:10:in realtime' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:17:in ms' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/benchmarking.rb:51:in render' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:1331:in send' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:1331:in perform_action_without_filters' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/filters.rb:617:in call_filters' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/filters.rb:610:in perform_action_without_benchmark' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:17:in ms' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:10:in realtime' /Library/Ruby/Gems/1.8/gems/activesupport-2.3.4/lib/active_support/core_ext/benchmark.rb:17:in ms' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/benchmarking.rb:68:in perform_action_without_rescue' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/rescue.rb:160:in perform_action_without_flash' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/flash.rb:146:in perform_action' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:532:in send' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:532:in process_without_filters' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/filters.rb:606:in process' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:391:in process' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/base.rb:386:in call' /Library/Ruby/Gems/1.8/gems/actionpack-2.3.4/lib/action_controller/routing/route_set.rb:437:in `call' Any suggestions? Regards

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  • Using EHCache with ASP.NET?

    - by frankadelic
    I have heard of .NET APIs for memcached. Is there any equivalent for EHCache? I am envisioning a cluster of linux machines running EHCache, serving cached objects for a farm of ASP.NET webservers. Is this practical? Can this be done without installing Java on the ASP.NET servers?

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  • C#: Cached Property: Easier way?

    - by Peterdk
    I have a object with properties that are expensive to compute, so they are only calculated on first access and then cached. private List<Note> notes; public List<Note> Notes { get { if (this.notes == null) { this.notes = CalcNotes(); } return this.notes; } } I wonder, is there a better way to do this? Is it somehow possible to create a Cached Property or something like that in C#?

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  • counter_cache rails a child creation should increment the count intwo different models based on cond

    - by aditi-syal
    Hi, I have 3 models Recommendation Job Qualification Recommendation model has two fields as work_type and work_id(foreign key for job/qualification based on work_type as "J"/"Q") I am facing problem in using counter_cache I have done this in recommendation.rb belongs_to :job , :counter_cache = true, :foreign_key = "work_id" belongs_to :qualification , :counter_cache = true, :foreign_key = "work_id" and in job and qualification model files has_many :recommendations , :conditions = {:work_type = "J"} has_many :recommendations , :conditions = {:work_type = "Q"} Both Job and Qualification Models have a column as recommendations_count The problem is every time an object of recommendation is created count is increased in the both the models Please help me with this Thanks

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  • How to prevent HTTP 304 in Django test server

    - by Augusto Men
    I have a couple of projects in Django and alternate between one and another every now and then. All of them have a /media/ path, which is served by django.views.static.serve, and they all have a /media/css/base.css file. The problem is, whenever I run one project, the requests to base.css return an HTTP 304 (not modified), probably because the timestamp hasn't changed. But when I run the other project, the same 304 is returned, making the browser use the file cached by the previous project (and therefore, using the wrong stylesheet). Just for the record, here are the middleware classes: MIDDLEWARE_CLASSES = ( 'django.middleware.common.CommonMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.middleware.transaction.TransactionMiddleware', ) I always use the default address http://localhost:8000. Is there another solution (other than using different ports - 8001, 8002, etc.)?

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  • Install webapp to homescreen on iPhone?

    - by Stefan Kendall
    How do I go about allowing my webapp to be installed as an icon on a user's homescreen? Is the data cached locally, so that the webapp can be run when the user is outside of 3G? I did a quick google, but my search terms were lacking. I noticed that Google Buzz allowed me to install locally, and I'm wondering what the process is for creating web apps, and if they get special treatment (full caching/running offline).

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  • Storing PLSQL stored-procedure values in Oracle memory caches for extended periods

    - by Ira Baxter
    I am collecting runtime profiling data from PLSQL stored procedures. The data is collected as certain stored procedures execute, but it needs to accumululate across multiple executions of those procedures. To minimize overhead, I'd like to store that profiling data in some PLSQL-accessable Oracle memory-resident storage somewhere for the duration of the data collection interval, and then dump out the accumulated values. The data collection interval might be seconds or hours; its ok not to store this data across system boots. Something like session state in web servers would do. What are my choices for storing such data? The only method I know about are contexts in dbms_sessions: procedure set_ctx (value in varchar8) as begin dbms_session.set_context ( 'Test_Ctx', 'AccumulatedValue', value, NULL, 'ProfilerSessionId' ); end set_ctx; This works, but takes some 50 milliseconds(!) per update to the accumulated value. What I'm hoping for is a way to access/store an array of values in some Oracle memory using vanilla PLSQL statements, with access times typical of array accesses made to package-local arrays.

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  • Do connection string DNS lookups get cached?

    - by joshcomley
    Suppose the following: I have a database set up on database.mywebsite.com, which resolves to IP 111.111.1.1, running from a local DNS server on our network. I have countless ASP, ASP.NET and WinForms applications that use a connection string utilising database.mywebsite.com as the server name, all running from the internal network. Then the box running the database dies, and I switch over to a new box with an IP of 222.222.2.2. So, I update the DNS for database.mywebsite.com to point to 222.222.2.2. Will all the applications and computers running them have cached the old resolved IP address? I'm assuming they will have. Any suggestions along the lines of "don't have your IP change each time you switch box" are not too welcome as I cannot control this aspect of the situation, unfortunately. We are currently using the machine name of the box, which changes every time it dies and all apps etc. have to be updated with the new machine name. It hurts.

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  • "Alert" and "if" changes behaviour of dom copying from iframe to div

    - by lowkey
    Hi guys! Tried to make a little old school ajax (iframe-javascript) script. A bit of mootools is used for DOM navigation Description: HTML: 1 iframe called "buffer" 1 div called "display" JAVASCRIPT: (short: copy iframe content into a div on the page) 1) onLoad on iframe triggers handler(), a counter makes sure it only run once (this is because otherwise firefox will go into feedback loop. What i think happens: iframe on load handler() copyBuffer change src of iframe , and firefox takes that as an onload again) 2) copybuffer() is called, it sets src of iframe then copies iframe content into div, then erases iframe content THE CODE: count=0; function handler(){ if (count==0){ copyBuffer(); count++; } } function copyBuffer(){ $('buffer').set('src','http://www.somelink.com/'); if (window.frames['buffer'] && $('display') ) { $('display').innerHTML = window.frames['buffer'].document.body.innerHTML; window.frames['buffer'].document.body.innerHTML=""; } } problems: QUESTION 1) nothing happens, the content is not loaded into the div. But if i either: A) remove the counter and let the script run in a feedback loop: the content is suddenly copied into the div, but off course there is a feedback loop going on, you can see it keeps loading in the status bar. OR B) insert an alert in the copyBuffer function. The content is copied, without the feedback loop. why does this happen? QUESTION 2) The If wrapped around the copying code i got from a source on the internet. I am not sure what it does? If i remove it the code does not work in: Safari and Chrome. Many thanks in advance! UPDATE: Like the answers said i have created an event handler. They used jQuery, i have made one in mootools: window.addEvent('domready', function() { $('buffer').addEvent('load', function(){ $('display').set('html',window.frames['buffer'].document.body.innerHTML) window.frames['buffer'].document.body.innerHTML=""; }).set('src','somelink'); }); Bonus question: 3) Im new at stackoverflow (what an amazing place!), is it better if i make new threads for follow up questions?

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  • Is it possible to disable user sessions for guest in Joomla 1.5

    - by WebolizeR
    Hi; Is it possible to disable session handling in Joomla 1.5 for guests. I donot use user system in the frontend, i assumed that it's not needed to run queries like below: Site will use APC or Memcache as caching system under heavy load, so it's important for me tHanks for your comments # DELETE FROM jos_session WHERE ( time < '1274709357' ) # SELECT * FROM jos_session WHERE session_id = '70c247cde8dcc4dad1ce111991772475' # UPDATE jos_session SET time='1274710257',userid='0',usertype='',username='',gid='0',guest='1',client_id='0',data='__default|a:8:{s:15:\"session.counter\";i:5;s:19:\"session.timer.start\";i:1274709740;s:18:\"session.timer.last\";i:1274709749;s:17:\"session.timer.now\";i:1274709754;s:22:\"session.client.browser\";s:88:\"Mozilla/5.0 (Windows; U; Windows NT 5.1; en-US; rv:1.9.2.3) Gecko/20100401 Firefox/3.6.3\";s:8:\"registry\";O:9:\"JRegistry\":3:{s:17:\"_defaultNameSpace\";s:7:\"session\";s:9:\"_registry\";a:1:{s:7:\"session\";a:1:{s:4:\"data\";O:8:\"stdClass\":0:{}}}s:7:\"_errors\";a:0:{}}s:4:\"user\";O:5:\"JUser\":19:{s:2:\"id\";i:0;s:4:\"name\";N;s:8:\"username\";N;s:5:\"email\";N;s:8:\"password\";N;s:14:\"password_clear\";s:0:\"\";s:8:\"usertype\";N;s:5:\"block\";N;s:9:\"sendEmail\";i:0;s:3:\"gid\";i:0;s:12:\"registerDate\";N;s:13:\"lastvisitDate\";N;s:10:\"activation\";N;s:6:\"params\";N;s:3:\"aid\";i:0;s:5:\"guest\";i:1;s:7:\"_params\";O:10:\"JParameter\":7:{s:4:\"_raw\";s:0:\"\";s:4:\"_xml\";N;s:9:\"_elements\";a:0:{}s:12:\"_elementPath\";a:1:{i:0;s:74:\"C:\xampp\htdocs\sites\iv.mynet.com\libraries\joomla\html\parameter\element\";}s:17:\"_defaultNameSpace\";s:8:\"_default\";s:9:\"_registry\";a:1:{s:8:\"_default\";a:1:{s:4:\"data\";O:8:\"stdClass\":0:{}}}s:7:\"_errors\";a:0:{}}s:9:\"_errorMsg\";N;s:7:\"_errors\";a:0:{}}s:13:\"session.token\";s:32:\"a2b19c7baf223ad5fd2d5503e18ed323\";}' WHERE session_id='70c247cde8dcc4dad1ce111991772475'

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  • Are Drupal theme settings cached?

    - by barraponto
    i want to change theme_username, a core theme function that outputs that dreadful "not verified" string on users who are not logged in (when they comment, for example). i want a checkbox in admin/build/themes/settings/MYTHEME to change that. but since that theme function gets called a lot, will it hurt the performance of any site using my theme or are theme settings cached?

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