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  • clrear coockies and cache from site

    - by salvadore
    Every time i updat my website system UI\Jquery. Users complain that things are not working for them and that they have bugs. Users are internet\computer dummies so they dont know how to clear the coockies or the cache of the browser, so i need to connect to each one of their computers and do it by myself. I spend lots off hours doing it and they always complain. Some of the useres use Chrome, some Firefox. Googled and found no solution for this, Is there any client code operation that will command the browser to clrear its cache or even pop up browser window wich will ask user to confirm the clear?

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  • APC (PHP Cache) Uptime 0 minutes, not caching

    - by Jussi
    My goal is to implement APC for opcode cache for a drupal 6 production site. I have so far tested APC with several php files with and without including other php files with include_once. Also tried to tweak the apc.ini values for shm_size, apc.include_once_override and apc.stat. Restarted apache every time. Resulting in apc.php not showing any changes in any values. (except of course the changed apc.ini values are shown as they should) Every time i refresh the apc.php test page, the start time resets as the current time showing uptime 0 minutes. apc.php -testpage shows: General Cache InformationAPC Version 3.1.9 PHP Version 5.2.10 APC Host xxxx.xx.xx Server Software Apache/2.2.3 (CentOS) Shared Memory 1 Segment(s) with 128.0 MBytes (mmap memory, pthread mutex Locks locking) Start Time 2011/07/26 11:53:56 Uptime 0 minutes File Upload Support 1 Cached Files 0 ( 0.0 Bytes) Hits 1 Misses 1 Request Rate (hits, misses) 2.00 cache requests/second Hit Rate 1.00 cache requests/second Miss Rate 1.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 Cached Variables 0 ( 0.0 Bytes) Hits 0 Misses 0 Request Rate (hits, misses) 0.00 cache requests/second Hit Rate 0.00 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 apc.cache_by_default 1 apc.canonicalize 1 apc.coredump_unmap 0 apc.enable_cli 0 apc.enabled 1 apc.file_md5 0 apc.file_update_protection 2 apc.filters apc.gc_ttl 3600 apc.include_once_override 0 apc.lazy_classes 0 apc.lazy_functions 0 apc.max_file_size 16 apc.mmap_file_mask /tmp/apcphp5.095eRm apc.num_files_hint 1024 apc.preload_path apc.report_autofilter 0 apc.rfc1867 0 apc.rfc1867_freq 0 apc.rfc1867_name APC_UPLOAD_PROGRESS apc.rfc1867_prefix upload_ apc.rfc1867_ttl 3600 apc.serializer default apc.shm_segments 1 apc.shm_size 128M apc.slam_defense 0 apc.stat 0 apc.stat_ctime 0 apc.ttl 7200 apc.use_request_time 1 apc.user_entries_hint 4096 apc.user_ttl 7200 apc.write_lock 1 Host Status Diagrams: Free: 128.0 MBytes (100.0%) Hits: 1 (50.0%) Used: 20.3 KBytes (0.0%) Misses: 1 (50.0%) Detailed Memory Usage and Fragmentation: Fragmentation: 0% phpinfo shows: Server API CGI/FastCGI APC: Version 3.1.9 APC Debugging Enabled MMAP Support Enabled MMAP File Mask /tmp/apcphp5.JkKDk7 Locking type pthread mutex Locks Serialization Support php Revision $Revision: 308812 $ Build Date Jul 21 2011 14:31:12 I followed these steps to find if suexec settings would prevent caching: http://www.litespeedtech.com/support/forum/showthread.php?t=4189 [root@host /]# ps -ef|grep lsphp root 20402 17833 0 11:21 pts/0 00:00:00 grep lsphp [root@host /]# ps -waux root 17833 0.0 0.1 5004 1484 pts/0 S 10:39 0:00 bash ..indicates that there is no lsphp running on the host also I read the following article and comments, concluding that in my case the problem is not the suexec as the user apache is the httpd process owner http://www.brandonturner.net/blog/2009/07/fastcgi_with_php_opcode_cache/ also suexec command is not recognized when logged and launced as root @ host also i'm almost confident that there is no cPanel running on the host to check if a setting there would reset the running cache process at some interval This leaves me with few clues where to head next. I tried to set (with chown and chgrp) apache as the owner of the apc.php file and some test php files resulting in 500 server error. Is there a way to check if the file permissions prevent the apc stay running? I'm tremendously grateful for any suggestions or help.

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  • What is the default value for Empty Temporary Internet Files when browser is closed in IE8?

    - by schellack
    We have four different machines that all have "Empty Temporary Internet Files when browser is closed" set to true (checked) in IE8's Internet Options (located under the Security section in the Advanced tab). No one remembers checking that checkbox to turn on the setting. What is the default value supposed to be? I'm specifically interested in Windows 7 and Windows XP. I have run rsop.msc on one of the corporate machines—3 of the 4 are members of a corporate network/domain—and see this under User Configuration, which makes the current scenario seem even stranger: The Local Group Policy Editor (gpedit.msc) also shows the Configure Delete Browsing History on exit setting to be Not configured (under Computer ConfigurationAdministrative TemplatesWindows ComponentsInternet ExplorerDelete Browsing History).

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  • Bypass cache for mobile user agents, VARNISH+NGINX+W3CACHE

    - by Mike McGhee
    Right now I'm running Wordpress w/ W3 Cache on nginx with varnish front end. I'm trying to use the WP Touch Pro plugin for wordpress to display mobile sites, but it is not working. Shows the desktop theme still. I've put the mobile user agents in the rejected user agents box in w3 cache. Here is the nginx config w3 cache spit out: BEGIN W3TC Page Cache cache location ~ /wp-content/w3tc/pgcache.*html$ { expires modified 3600s; add_header X-Powered-By "W3 Total Cache/0.9.2.4"; add_header Vary "Accept-Encoding, Cookie"; } location ~ /wp-content/w3tc/pgcache.*gzip$ { gzip off; types {} default_type text/html; expires modified 3600s; add_header X-Powered-By "W3 Total Cache/0.9.2.4"; add_header Vary "Accept-Encoding, Cookie"; add_header Content-Encoding gzip; } # END W3TC Page Cache cache # BEGIN W3TC Browser Cache gzip on; gzip_types text/css application/x-javascript text/x-component text/richtext image/svg+xml text/plain text/xsd text/xsl text/xml image/x-icon; location ~ \.(css|js|htc)$ { expires 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.4"; } location ~ \.(html|htm|rtf|rtx|svg|svgz|txt|xsd|xsl|xml)$ { expires 3600s; add_header X-Powered-By "W3 Total Cache/0.9.2.4"; } location ~ \.(asf|asx|wax|wmv|wmx|avi|bmp|class|divx|doc|docx|eot|exe|gif|gz|gzip|ico|jpg|jpeg|jpe|mdb|mid|midi|mov|qt|mp3|m4a|mp4|m4v|mpeg|mpg|mpe|mpp|otf|odb|odc|odf|odg|odp|ods|odt|ogg|pdf|png|pot|pps|ppt|pptx|ra|ram|svg|svgz|swf|tar|tif|tiff|ttf|ttc|wav|wma|wri|xla|xls|xlsx|xlt|xlw|zip)$ { expires 31536000s; add_header X-Powered-By "W3 Total Cache/0.9.2.4"; } # END W3TC Browser Cache # BEGIN W3TC Minify core rewrite ^/wp-content/w3tc/min/w3tc_rewrite_test$ /wp-content/w3tc/min/index.php?w3tc_rewrite_test=1 last; rewrite ^/wp-content/w3tc/min/(.+\.(css|js))$ /wp-content/w3tc/min/index.php?file=$1 last; # END W3TC Minify core # BEGIN W3TC Page Cache core rewrite ^(.*\/)?w3tc_rewrite_test$ $1?w3tc_rewrite_test=1 last; set $w3tc_rewrite 1; if ($request_method = POST) { set $w3tc_rewrite 0; } if ($query_string != "") { set $w3tc_rewrite 0; } if ($http_host != "mysite.com") { set $w3tc_rewrite 0; } set $w3tc_rewrite2 1; if ($request_uri !~ \/$) { set $w3tc_rewrite2 0; } if ($request_uri ~* "(sitemap(_index)?\.xml(\.gz)?|[a-z0-9_\-]+-sitemap([0-9]+)?\.xml(\.gz)?)") { set $w3tc_rewrite2 1; } if ($w3tc_rewrite2 != 1) { set $w3tc_rewrite 0; } set $w3tc_rewrite3 1; if ($request_uri ~* "(\/wp-admin\/|\/xmlrpc.php|\/wp-(app|cron|login|register|mail)\.php|\/feed\/|wp-.*\.php|index\.php)") { set $w3tc_rewrite3 0; } if ($request_uri ~* "(wp\-comments\-popup\.php|wp\-links\-opml\.php|wp\-locations\.php)") { set $w3tc_rewrite3 1; } if ($w3tc_rewrite3 != 1) { set $w3tc_rewrite 0; } if ($http_cookie ~* "(comment_author|wp\-postpass|wordpress_\[a\-f0\-9\]\+|wordpress_logged_in)") { set $w3tc_rewrite 0; } if ($http_user_agent ~* "(W3\ Total\ Cache/0\.9\.2\.4|iphone|ipod|ipad|aspen|incognito|webmate|android|dream|cupcake|froyo|blackberry9500|blackberry9520|blackberry9530|blackberry9550|blackberry\ 9800|blackberry\ 9780|webos|s8000|bada)") { set $w3tc_rewrite 0; } set $w3tc_ua ""; if ($http_user_agent ~* "(acer\ s100|android|archos5|blackberry9500|blackberry9530|blackberry9550|blackberry\ 9800|cupcake|docomo\ ht\-03a|dream|htc\ hero|htc\ magic|htc_dream|htc_magic|incognito|ipad|iphone|ipod|kindle|lg\-gw620|liquid\ build|maemo|mot\-mb200|mot\-mb300|nexus\ one|opera\ mini|samsung\-s8000|series60.*webkit|series60/5\.0|sonyericssone10|sonyericssonu20|sonyericssonx10|t\-mobile\ mytouch\ 3g|t\-mobile\ opal|tattoo|webmate|webos)") { set $w3tc_ua _high; } set $w3tc_ref ""; set $w3tc_ssl ""; set $w3tc_enc ""; if ($http_accept_encoding ~ gzip) { set $w3tc_enc _gzip; } set $w3tc_ext ""; if (-f "$document_root/wp-content/w3tc/pgcache/$request_uri/_index$w3tc_ua$w3tc_ref$w3tc_ssl.html$w3tc_enc") { set $w3tc_ext .html; } if ($w3tc_ext = "") { set $w3tc_rewrite 0; } if ($w3tc_rewrite = 1) { rewrite .* "/wp- content/w3tc/pgcache/$request_uri/_index$w3tc_ua$w3tc_ref$w3tc_ssl$w3tc_ext$w3tc_enc" last; } # END W3TC Page Cache core And here is what I have in my varnish vcl.. sub vcl_recv { # Add a unique header containing the client address remove req.http.X-Forwarded-For; set req.http.X-Forwarded-For = client.ip; # Device detection set req.http.X-Device = "desktop"; if ( req.http.User-Agent ~ "iP(hone|od|ad)" || req.http.User-Agent ~ "Android" ) { set req.http.X-Device = "smart"; } elseif ( req.http.User-Agent ~ "(SymbianOS|BlackBerry|SonyEricsson|Nokia|SAMSUNG|^LG)" ) { set req.http.X-Device = "cell"; } Any help is greatly appreciated, I've been banging my head against this for 2 days..

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  • Tweaking Hudson memory usage

    - by rovarghe
    Hudson 3.1 has some performance optimizations that greatly reduces its memory footprint. Prior to this Hudson used to always hold the entire data model (all jobs and all builds) in memory which affected scalability. Some installations configured heap sizes in excess of 1GB to counteract this. Hudson 3.1.x maintains an MRU cache and only loads jobs and builds as they are required. Because of the inability to change existing APIs and be backward compatible with plugins, there were limits to how far we could go with this approach. Memory optimizations almost always come with a related cost, in this case its additional I/O that has to be performed to load data on request. On a small site that has frequent traffic, this is usually not noticeable since the MRU cache will usually hold on to all the data. A large site with infrequent traffic might experience some delays when the first request hits the server after a long gap. If you have a large heap and are able to allocate more memory, the cache settings can be adjusted to take advantage of this and even go back to pre-3.1 behavior. All the cache settings can be passed as options to the JVM container (Tomcat or the default Jetty container) using the -D option. There are two caches, independant of each other, one for Jobs and the other for Builds. For the jobs cache: hudson.jobs.cache.evict_in_seconds ( default=60 ) Seconds from last access (could be because of a servlet request or a background cron thread) a job should be purged from the cache. Set this to 0 to never purge based on time. hudson.jobs.cache.initial_capacity ( default=1024 ) Initial number of jobs the cache can accomodate. Setting this to the number of jobs you typically display on your Hudson landing page or home page will speed up consecutive access to that page. If the default is too large you may consider downsizing and using that memory for the Builds cache instead. hudson.jobs.cache.max_entries ( default=1024) Maximum number of jobs in the cache. The default is large enough for most installations, but if you find I/O activity when always accessing the hudson home page you might consider increasing this, but first verify if the I/O is caused by frequent eviction (see above), rather than by the cache not being large enough. For the builds cache: The builds cache is used to store Build objects as they are read from storage. Typically this happens when a user drills down into the details of a particular Job from the hudson hom epage. The cache is shared among builds for different jobs since in most installations all jobs are not accessed with the same frequency, so a per-job builds cache would be a waste of memory. hudson.job.builds.cache.evict_in_seconds ( default=60 ) Same as the equivalent Job cache, applied to Build. hudson.job.builds.cache.initial_capacity" ( default=512 ) Same as equivalent Job cache setting. Note the smaller initial size. If your site stores a large number of builds and has frequent access to more builds you might consider bumping this up. hudson.job.builds.cache.max_entries ( default=10240 ) The default max is large enough for most installations, the builds cache has bigger sized objects, so be careful about increasing the upper limit on this. See section on monitoring below. Sample usage: java -jar hudson-war-3.1.2-SNAPSHOT.war -Dhudson.jobs.cache.evict_in_seconds=300 \ -Dhudson.job.builds.cache.evict_in_seconds=300 Monitoring cache usage The 'jmap' tool that comes with the JDK can be used to monitor cache performance in an indirect way by looking at the number of Job and Build objects in each cache. Find the PID of the hudson instance and run $ jmap -histo:live <pid | grep 'hudson.model.*Lazy.*Key$' Here's a sample output: num #instances #bytes class name 523: 28 896 hudson.model.RunMap$LazyRunValue$Key 1200: 3 96 hudson.model.LazyTopLevelItem$Key These are the keys to the Jobs (LazyTopLevelItem$Key) and Builds (RunMap$LazyRunValue$Key) in the caches, so counting the number of keys is a good indicator of the number of items in the cache at any given moment. The size in bytes can be ignored, they are just the size of the keys, not the actual sizes of the objects they hold. Those sizes can only be obtained with a profiler. With the output above we can conclude that there are 3 jobs and 28 builds in memory. The 28 builds can all be from 1 job or all 3 jobs. Over time on an idle system, these should get evicted and memory cache should be empty. In practice, because of background cron threads and triggers, jobs rarely fall down to zero. Access of a job or a build by a cron thread resets the eviction timer.

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  • java distributed cache for low latency, high availability

    - by Shahbaz
    I've never used distributed caches/DHTs like memcached, jboss cache, ehcache, etc. I'm wondering which, if any, is appropriate for my use. First, I'm not doing web applications (as most of these project seem to be geared towards web apps). I write servers (Order Management Systems actually) for financial trading firms. The servers themselves are not too complicated. They need to receive information (market data, orders, executions, etc.) rout them to their destination while possibly transforming some of these messages. I am looking at these products to solve the following problems: * Safe repository of the state of the server. I'd rather build the logic of my application as a bunch of transformers (similar to Apache Camel) and store the state in a 'safe' place * This repository should be distributed: in case one of these data stores crashes, one or two more should be up and I should be able to switch to them seamlessly * This repository should be fast. Single digits milliseconds count here, in other words, systems which consume/process this data are automated systems, not humans clicking on links. This system needs to have high-throughput and low latency. By sending my data outside the process, I am necessarily slowing performance, but I am trying to balance absolute raw speed and absolute protection of data. * This repository should be safe. Similar to the point about several on-line backups, this system needs to write data to disk (potentially more than one disk). I'd really like to stop writing my own 'transaction servers.' Am I correct to be looking into projects such as jboss cache, ehcache, etc.? Thanks

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  • J2ME cache issue

    - by kiennt
    I have to write a J2ME app to retrieve images from server and display in mobile phone. I have seen and test that Snaptu have a mechanism to cache image, event with 100 images (both normal size and zoom size). I wonder how they can do that? I though that those guys use rms to save image stream to data. But when i check in working folder of simulater( I use Windows XP and Sun Wireless Toolkit 3.0, the Emulator device i use to run my program is CLDC Device 1 - my working folder is C:\Document And Settings\Administrator\javame-sdk\3.0\work\6\appdb), i see some .db file. When i delete these files, i still can view cache image in my emulator???? I also thought that those guys use heap memory to save image. But it is not correct because when i set limit device memory is 2MB (like some mobile phones), and i load and view 100 images in zoom size, it didn't make OutOfMemory Error? It so weird. Any one can help me? Thanks

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  • Why does stored procedure invalidate SQL Cache Dependency?

    - by Fabio Milheiro
    After many hours, I finally realize that I am working correctly with the Cache object in my ASP.NET application but my stored procedures stops it from working correctly. This stored procedure works correctly: CREATE PROCEDURE [dbo].[ListLanguages] @Page INT = 1, @ItemsPerPage INT = 10, @OrderBy NVARCHAR (100) = 'ID', @OrderDirection NVARCHAR(4) = 'DESC' AS BEGIN SELECT ID, [Name], Flag, IsDefault FROM dbo.Languages END But this (the one I wanted) doesn't: CREATE PROCEDURE [dbo].[ListLanguages] @Page INT = 1, @ItemsPerPage INT = 10, @OrderBy NVARCHAR (100) = 'ID', @OrderDirection NVARCHAR(4) = 'DESC', @TotalRecords INT OUTPUT AS BEGIN SET @TotalRecords = 10 EXEC('SELECT ID, Name, Flag, IsDefault FROM ( SELECT ROW_NUMBER() OVER (ORDER BY ' + @OrderBy + ' ' + @OrderDirection + ') as Row, ID, Name, Flag, IsDefault FROM dbo.Languages) results WHERE Row BETWEEN ((' + @Page + '-1)*' + @ItemsPerPage + '+1) AND (' + @Page + '*' + @ItemsPerPage + ')') END I gave the @TotalRecords parameter the value 10 so you can be sure that the problem is not from the COUNT(*) function which I know is not supported well. Also, when I run it from SQL Server Management Studio, it does exactly what it should do. In the ASP.NET application the results are retrieved correctly, only the cache is somehow unable to work! Can you please help? Maybe a hint I believe that the reason why the dependency HasChanged property is related to the fact that the column Row generated from the ROW_NUMBER is only temporary and, therefore, the SQL SERVER is not able to to say whether the results are changed or not. That's why HasChanged is always set to true. Does anyone know how to paginate results from SQL SERVER without using COUNT or ROW_NUMBER functions?

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  • Cache data in SQL CE database

    - by user93422
    Background I have an SQL CE database, that is constantly updated (every second). I have a (web) application that allows a user to look at the data in real-time. At some point a user can click "take a snapshot" button, and it will open the snapshot in a different window. And then on that form, there is "print" and "download" buttons that will either generate a page for printing, or will stream the data as CSV file - but same data snapshot has to be used, i.e. I can't go to the DB to get latest data for that. Details SQL CE dabatase is exposed through WCF web service. Snapshot consists of up to 500 records, 10 columns each. Expiration time on the snapshot of 2 hours is sufficient. It is a low-traffic application, so I don't expect more than few (5) connections at the same time. Loosing snapshot is not a big deal, user can simply generate new one. database is accessed by self-hosted WCF web service using Linq-to-SQL. Web site is ASP.NET MVC hosted on UltiDev Cassini. database, and web site are most likely be on the same box, when deployed. The entire app is intranet bound. Problem I need to cache the snapshot of the data at the moment user pressed "take a snapshot" button, so that I can use same data to generate print page, or generate a file for download. Solution 1: Each time there is a need to generate a snapshot, I will create a table in the database. Since there are no temp tables in SQL CE, I will need to clean it up myself. Solution 2: Cache the snapshot in-memory on either DB server, or web server. Question: Is there anything wrong with proposed solutions? Any different solution suggestions?

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  • Flex 3 - Image cache

    - by BS_C3
    Hello Community. I'm doing an Image Cache following this method: http://www.brandondement.com/blog/2009/08/18/creating-an-image-cache-with-actionscript-3/ I copied the two as classes, renaming them CachedImage and CachedImageMap. The thing is that I don't want to store the image after being loaded a first time, but while the application is being loaded. For that, I've created a function that is called by the application pre-initialize event. This is how it looks: private function loadImages():void { var im:CachedImage = new CachedImage; var sources:ArrayCollection = new ArrayCollection; for each(var cs in divisionData.division.collections.collection.collectionSelection) { sources.addItem(cs.toString()); } for each(var se in divisionData.division.collections.collection.searchEngine) { sources.addItem(se.toString()); } for each( var source:String in sources) { im.source = source; im.load(source); } } The sources are properly retrieved. However, even if I use the load method, I do not get the "complete" event... As if the image is not being loaded... How is that? Any help would be appreciated. Thanks in advance. Regards, BS_C3

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  • Cakephp cache only caching one file per action

    - by Jamesz
    Hi, I have a songs controller. Within the songs controller i have a 'view' action which get's passed an id, eg /songs/view/1 /songs/view/5 /songs/view/500 When a user visits /songs/view/1, the file is cached correctly and saved as 'songs_view_1.php' Now for the problem, when a user hit's a different song, eg /songs/view/2, the 'songs_view_1.php' is deleted and '/songs/view/2.php' is in it's place. The cahced files will stay there for a day if I don't visit a different url, and visiting a different action will not affect any other action's cached file. I've tried replacing my 'cake' folder (from 1.2 to 1.2.6), but that didn't do anything. I get no error messages at all and nothing in the logs. Here's my code, I've tried umpteen variations all ending up with the same problem. var $helpers = array('Cache'); var $cacheAction = array( 'view/' => '+1 day' ); Any ideas? EDIT: After some more testing, this code var $cacheAction = array( 'view/1' => "1 day", 'view/2' => "1 day" ); will cache 'view/1' or 'view/2', but delete the previous page as before. If I visit '/view/3' it will delete the cached page from before... sigh EDIT: Having the same issue on another server with same code...

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  • How do I change the location of DivX cache files?

    - by andygrunt
    I recently installed to the latest version of DivX and suddenly found my C drive filling up with the cache files. I tracked it down to: C:\Files\My Videos\DivX Movies\Temporary Downloaded Files My old laptop (running WinXP) only has a small hard drive and any DivX cache files fills it up so I want it to use my D drive where I have a little more room. The trouble is I can't see anywhere in the DivX preferences where I can change the cache location. Can anyone tell me how I can change the location of the DivX cache files?

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  • Nginx Reverse Proxy : post_action if proxy cache hit - Possbile?

    - by anonymous-one
    We have recently found out about nginxes post_action. We were wondering it there was a way to use this directive if a proxy cache hit is made? The flow we were hoping on is as follows: 1) User request comes in 2) If cache HIT goto A / If cache MISS goto B A) 1) Serve Cached Result A) 2) post_action to another url on the backend B) 1) Server request from backend B) 2) Store result from backend Any ideas if this is possible via post_action? Thanks!

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  • How to diagnose issue between mobo, RAID, and SSD cache drive? [migrated]

    - by goober
    Background This issue is happening on my custom-built desktop. Relevant specs: Motherboard: ASUS P8Z68-V PRO Utilizing Intel RST technology (application that uses unused SSD as cache) Processor: Intel core i7-2600k (not overclocked) HDDs: RAID1 of 2x Seagate Barracuda 1TB (ST31000524AS) (RAID performed via z68 chipset) Machine has run fine for ~1 year with no issues, and has been well-maintained (dust, etc.) What Happened Random Freezing issues -- intermittent Looked at the RST application screen to see that the acceleration cache was listed as "unavailable" -- recommended that I power down and reconnect the drive. Reconnected the drive to no avail. Attempted to move the drive to another SATA port. Acceleration option disappeared from RST software. Now, the freeze happens whenever loading something particularly data-driven (a video, a game, etc.) Steps Attempted Reconnected the drive to no avail. Updated Intel RST software to v. 11.6.0.1030 to see if that made a difference. Attempted to move the drive to another SATA port. Acceleration option disappeared from RST software. Connected the drive as its own volume. Formatted it, ran disk check errors -- all seems fine. Reconnected the drive and selected it again as the cache drive. Now, what happens when there is a freeze: Machine freezes I am unable to perform any command Screen then goes black I hit the reset button During boot, all drives show as "Disabled" and I am told no volume can be found I then hit the reset button (or power off/on) again. Either the next time (or sometimes after repeating this once more), the metadata cache is reconstructed and the system boots fine, showing the SSD as a cache. Question I believe this is an issue with the SSD itself, but how can I be sure since connecting it separately appeared to show no problems? I want to make sure it's not an issue with the motherboard, SATA ports, etc.

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  • Boost your infrastructure with Coherence into the Cloud

    - by Nino Guarnacci
    Authors: Nino Guarnacci & Francesco Scarano,  at this URL could be found the original article:  http://blogs.oracle.com/slc/coherence_into_the_cloud_boost. Thinking about the enterprise cloud, come to mind many possible configurations and new opportunities in enterprise environments. Various customers needs that serve as guides to this new trend are often very different, but almost always united by two main objectives: Elasticity of infrastructure both Hardware and Software Investments related to the progressive needs of the current infrastructure Characteristics of innovation and economy. A concrete use case that I worked on recently demanded the fulfillment of two basic requirements of economy and innovation.The client had the need to manage a variety of data cache, which can process complex queries and parallel computational operations, maintaining the caches in a consistent state on different server instances, on which the application was installed.In addition, the customer was looking for a solution that would allow him to manage the likely situations in load peak during certain times of the year.For this reason, the customer requires a replication site, on which convey part of the requests during periods of peak; the desire was, however, to prevent the immobilization of investments in owned hardware-software architectures; so, to respond to this need, it was requested to seek a solution based on Cloud technologies and architectures already offered by the market. Coherence can already now address the requirements of large cache between different nodes in the cluster, providing further technology to search and parallel computing, with the simultaneous use of all hardware infrastructure resources. Moreover, thanks to the functionality of "Push Replication", which can replicate and update the information contained in the cache, even to a site hosted in the cloud, it is satisfied the need to make resilient infrastructure that can be based also on nodes temporarily housed in the Cloud architectures. There are different types of configurations that can be realized using the functionality "Push-Replication" of Coherence. Configurations can be either: Active - Passive  Hub and Spoke Active - Active Multi Master Centralized Replication Whereas the architecture of this particular project consists of two sites (Site 1 and Site Cloud), between which only Site 1 is enabled to write into the cache, it was decided to adopt an Active-Passive Configuration type (Hub and Spoke). If, however, the requirement should change over time, it will be particularly easy to change this configuration in an Active-Active configuration type. Although very simple, the small sample in this post, inspired by the specific project is effective, to better understand the features and capabilities of Coherence and its configurations. Let's create two distinct coherence cluster, located at miles apart, on two different domain contexts, one of them "hosted" at home (on-premise) and the other one hosted by any cloud provider on the network (or just the same laptop to test it :)). These two clusters, which we call Site 1 and Site Cloud, will contain the necessary information, so a simple client can insert data only into the Site 1. On both sites will be subscribed a listener, who listens to the variations of specific objects within the various caches. To implement these features, you need 4 simple classes: CachedResponse.java Represents the POJO class that will be inserted into the cache, and fulfills the task of containing useful information about the hypothetical links navigation ResponseSimulatorHelper.java Represents a link simulator, which has the task of randomly creating objects of type CachedResponse that will be added into the caches CacheCommands.java Represents the model of our example, because it is responsible for receiving instructions from the controller and performing basic operations against the cache, such as insert, delete, update, listening, objects within the cache Shell.java It is our controller, which give commands to be executed within the cache of the two Sites So, summarily, we execute the java class "Shell", asking it to put into the cache 100 objects of type "CachedResponse" through the java class "CacheCommands", then the simulator "ResponseSimulatorHelper" will randomly create new instances of objects "CachedResponse ". Finally, the Shell class will listen to for events occurring within the cache on the Site Cloud, while insertions and deletions are performed on Site 1. Now, we realize the two configurations of two respective sites / cluster: Site 1 and Site Cloud.For the Site 1 we define a cache of type "distributed" with features of "read and write", using the cache class store for the "push replication", a functionality offered by the project "incubator" of Oracle Coherence.For the "Site Cloud" we expect even the definition of “distributed” cache type with tcp proxy feature enabled, so it can receive updates from Site 1.  Coherence Cache Config XML file for "storage node" on "Site 1" site1-prod-cache-config.xml Coherence Cache Config XML file for "storage node" on "Site Cloud" site2-prod-cache-config.xml For two clients "Shell" which will connect respectively to the two clusters we have provided two easy access configurations.  Coherence Cache Config XML file for Shell on "Site 1" site1-shell-prod-cache-config.xml Coherence Cache Config XML file for Shell on "Site Cloud" site2-shell-prod-cache-config.xml Now, we just have to get everything and run our tests. To start at least one "storage" node (which holds the data) for the "Cloud Site", we can run the standard class  provided OOTB by Oracle Coherence com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site2-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud To start at least one "storage" node (which holds the data) for the "Site 1", we can perform again the standard class provided by Coherence  com.tangosol.net.DefaultCacheServer with the following parameters and values:-Xmx128m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=true -Dtangosol.coherence.cacheconfig=config/site1-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1 Then, we start the first client "Shell" for the "Cloud Site", launching the java class it.javac.Shell  using these parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site2-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9002-Dtangosol.coherence.site=SiteCloud Finally, we start the second client "Shell" for the "Site 1", re-launching a new instance of class  it.javac.Shell  using  the following parameters and values: -Xmx64m-Xms64m-Dcom.sun.management.jmxremote -Dtangosol.coherence.management=all -Dtangosol.coherence.management.remote=true -Dtangosol.coherence.distributed.localstorage=false -Dtangosol.coherence.cacheconfig=config/site1-shell-prod-cache-config.xml-Dtangosol.coherence.clusterport=9001-Dtangosol.coherence.site=Site1  And now, let’s execute some tests to validate and better understand our configuration. TEST 1The purpose of this test is to load the objects into the "Site 1" cache and seeing how many objects are cached on the "Site Cloud". Within the "Shell" launched with parameters to access the "Site 1", let’s write and run the command: load test/100 Within the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: size passive-cache Expected result If all is OK, the first "Shell" has uploaded 100 objects into a cache named "test"; consequently the "push-replication" functionality has updated the "Site Cloud" by sending the 100 objects to the second cluster where they will have been posted into a respective cache, which we named "passive-cache". TEST 2The purpose of this test is to listen to deleting and adding events happening on the "Site 1" and that are replicated within the cache on "Cloud Site". In the "Shell" launched with parameters to access the "Site Cloud" let’s write and run the command: listen passive-cache/name like '%' or a "cohql" query, with your preferred parameters In the "Shell" launched with parameters to access the "Site 1" let’s write and run the following commands: load test/10 load test2/20 delete test/50 Expected result If all is OK, the "Shell" to Site Cloud let us to listen to all the add and delete events within the cache "cache-passive", whose objects satisfy the query condition "name like '%' " (ie, every objects in the cache; you could change the tests and create different queries).Through the Shell to "Site 1" we launched the commands to add and to delete objects on different caches (test and test2). With the "Shell" running on "Site Cloud" we got the evidence (displayed or printed, or in a log file) that its cache has been filled with events and related objects generated by commands executed from the" Shell "on" Site 1 ", thanks to "push-replication" feature.  Other tests can be performed, such as, for example, the subscription to the events on the "Site 1" too, using different "cohql" queries, changing the cache configuration,  to effectively demonstrate both the potentiality and  the versatility produced by these different configurations, even in the cloud, as in our case. More information on how to configure Coherence "Push Replication" can be found in the Oracle Coherence Incubator project documentation at the following link: http://coherence.oracle.com/display/INC10/Home More information on Oracle Coherence "In Memory Data Grid" can be found at the following link: http://www.oracle.com/technetwork/middleware/coherence/overview/index.html To download and execute the whole sources and configurations of the example explained in the above post,  click here to download them; After download the last available version of the Push-Replication Pattern library implementation from the Oracle Coherence Incubator site, and download also the related and required version of Oracle Coherence. 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