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  • How to get entries from the second level query cache ?

    - by fabien7474
    In my grails application, I want to display all the current entries of the second-level cache from all regions. My code is as following : def getCacheStats() { StatisticsImpl stats = sessionFactory.statistics for (regionName in stats.secondLevelCacheRegionNames) { log.debug stats.getSecondLevelCacheStatistics(regionName).entries } } However everything works fine as long as the region name is not org.hibernate.cache.StandardQueryCache (region used for Query Cache). In that case, an exception is thrown : java.lang.ClassCastException: org.hibernate.cache.QueryKey cannot be cast to org.hibernate.cache.CacheKey Having googling around, I didn't find any clues about how to display the list of entries of the cached query result sets associated with regions StandardQueryCache and UpdateTimestampsCache. Could you please help me find a solution for this?

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  • What is the best way to implement an object cache with Entity Framework?

    - by Harshal
    Say I have a table of "BlogPosts" in a database and i want to be able to cache the ones that were retrieved already in memory, for further reads, I can just use a standard hashtable type memory cache like System.Web.Caching.Cache, but if i then need to update a property on one of these blog posts e.g. blogPost.Title and update the record in DB, i cannot do this without fetching it again from database as the Entity Framework context used to fetch this record when it was loaded into my cache is already disposed? How do I write code so that I am getting an object from my cache, updating one property and just calling the SaveChanges method without incurring an extra read.

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  • absolute expiration cache object - can it be manually removed ?

    - by Truegilly
    Hello, been pulling my hair out over this for the past few hours. i have a cache object.. HttpRuntime.Cache.Insert("Members", AllMembersList, null, DateTime.Now.AddHours(1), TimeSpan.Zero); when i try and clear the cache object.. HttpRuntime.Cache.Remove("Members"); its value doesnt change, untill 1 hour is up or when i reset the server. My question.. for a cache object that is set absolute expiration, can i manually clear it or will it exist for the full hour ? what i would like is this object to last for an hour but depending on program execution be able to clear it so it will contain fresh data. any help is most appreciated truegilly

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  • jQuery & elastic Problem

    - by Fincha
    Hello eveyone, i using elastic in my script. I have also jQuery Tabs (every will be get over AJAX and content a textarea) and a timer for Saving content all 3 minutes. So some JS code... I have 2 parts on my site, left and right. On the right side i have 2 tabs (jQuery not AJAX) with each one textarea. And Left side between 5-10 Textareas each in Tab but they gonna be loaded only if Tab is activ (AJAX). my Problem is: If i paste a lot of text in a Textarea (1000 characters) the writing get slowed, not fluid, jerky. It ist 100% the elastic problem, without elastic there no Problem while writing. Have some one an idea for the solution of this Porblem? Is it Overload?

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  • Any way to view dynamic java content ex-post? Browser session still open

    - by Ryan
    I feel like a grandpa from 1996 asking this, but is it at all possible to view a representation of a particular screen that was rendered as part of a java-based online checkout process I executed a couple days ago? I haven't cleared my browser cache or temp files or anything, and I don't think I've restarted the comp or even the browser since. I'm using mac OS X 10.6.8, and the page(s) were viewed with Chrome version 21.0.1180.89 in standard mode (not incognito). Specifically the page in question was part of Verizon Wireless's 'iconic' contract/checkout process, which leads the user through several pages to make selections on various criteria and seems to be based on java. (Obviously I'm a dummy regarding web stuff so the question is probably not very well defined, I'm happy to elaborate). ^This is the tl;dr question. If it belongs on another site please just let me know. This is what I've been able to figure out on my own, for the bored / ultra-helpful / those who could use a laugh at a noob fumbling his way around cache files with no idea what he's doing: The progress through the selection pages is very clear in Chrome's browser history, the sequential pages are: https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s2 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s3 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s4 https://www.verizonwireless.com/b2c/accountholder/estore/phoneupgrade?execution=e3s5 https://preorder.verizonwireless.com/iconic/?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicOrder.do?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicEligibility.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicDeviceSelection.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/PlanOptions.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicFeatures.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicAccessories.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicShipmentBilling.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicReview.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicPaymentCreditInfo.do https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicConfirmation.do The visual representation I would need could come from any of these pages, as the necessary information was shown at the top of each of them (although the two with long URLs were just like redirects or something). Of course, clicking the link to the page in History right now requires a new sign-in and just returns the user to the initial step for doing the process again; it does not pull up a representation of the page as it was seen several days ago. This I understand. Instead using Chrome's integrated cache viewer by typing about:cache in the address bar, I can search and find links that appear to be relevant, when I click on the link I just get a http header and a bunch of hexadecimal gobbledygook. I've tried to use the URL at the top of the cache and URLs in the http headers, but they take me to current versions of those pages and not the versions I saw during the checkout process. I tried this with a few of them but stopped because I noticed that it updated the date in the http header to the present moment and I don't want to take chances overwriting the cache files since I don't know what I'm doing. The links to the cache files look like this: https://login.verizonwireless.com/amserver/UI/Login?realm=vzw&goto=https%3A%2F%2Fpreorder.verizonwireless.com%3A443%2Ficonic%2Ficonic%2Fsecured%2Fscreens%2FPlanOptions.do https://preorder.verizonwireless.com/iconic/iconic/screens/customerTypeOverlay.jsp https://verizonwireless.tt.omtrdc.net/m2/verizonwireless/mbox/standard?mboxHost=login.verizonwireless.com&mboxSession=1347776884663-145230&mboxPC=1347609748832-956765.19&mboxPage=1347776884663-145230&screenHeight=1200&screenWidth=1920&browserWidth=1299&browserHeight=868&browserTimeOffset=-420&colorDepth=24&mboxCount=1&mbox=My_Verizon_Global&mboxId=0&mboxTime=1347751684666&mboxURL=https%3A%2F%2Flogin.verizonwireless.com%2Famserver%2FUI%2FLogin%3Frealm%3Dvzw%26goto%3Dhttps%253A%252F%252Fpreorder.verizonwireless.com%253A443%252Ficonic%252Ficonic%252Fsecured%252Fscreens%252FPlanOptions.do&mboxReferrer=&mboxVersion=41 and https://verizonwireless.tt.omtrdc.net/m2/verizonwireless/mbox/standard?mboxHost=login.verizonwireless.com&mboxSession=1347735676953-663794&mboxPC=1347609748832-956765.19&mboxPage=1347738347511-550383&screenHeight=1200&screenWidth=1920&browserWidth=1299&browserHeight=845&browserTimeOffset=-420&colorDepth=24&mboxCount=1&mbox=My_Verizon_Global&mboxId=0&mboxTime=1347713147517&mboxURL=https%3A%2F%2Flogin.verizonwireless.com%2Famserver%2FUI%2FLogin%3Frealm%3Dvzw%26goto%3Dhttps%253A%252F%252Fpreorder.verizonwireless.com%253A443%252Ficonic%252Ficonic%252Fsecured%252Fscreens%252FIconicOrder.do%253Fformat%253DJSON%2526value%253D%257B%252522action%252522%253A%252522START_ORDER%252522%252C%252522custType%252522%253A%252522EXISTING%252522%252C%252522orderType%252522%253A%252522UPGRADE%252522%252C%252522lookupMtn%252522%253A%252522*(NumberA)*%252522%252C%252522lineData%252522%253A%255B%257B%252522mtn%252522%253A%252522*(NumberA)*%252522%252C%252522upgType%252522%253A%252522ALTERNATE_UPGRADE%252522%252C%252522eligibleMtn%252522%253A%252522*(NumberB)*%252522%257D%255D%257D&mboxReferrer=&mboxVersion=41 and the http headers look like this: HTTP/1.1 200 OK Server: VZW Date: Sun, 16 Sep 2012 14:55:48 GMT Cache-control: private Pragma: no-cache Expires: 0 X-dsameversion: VZW Am_client_type: genericHTML Content-type: text/html;charset=ISO-8859-1 Content-Encoding: gzip Content-Length: 6220 and HTTP/1.1 200 OK Cache-Control: no-cache Date: Sun, 16 Sep 2012 16:16:30 GMT Content-Type: text/html Expires: Thu, 01 Jan 1970 00:00:00 GMT Content-Encoding: gzip X-Powered-By: Servlet/2.5 JSP/2.1 and HTTP/1.1 302 Moved Temporarily Server: VZW Date: Sun, 16 Sep 2012 16:29:32 GMT Cache-control: private Pragma: no-cache X-dsameversion: VZW Am_client_type: genericHTML Location: https://preorder.verizonwireless.com:443/iconic/iconic/secured/screens/IconicOrder.do?format=JSON&value={%22action%22:%22START_ORDER%22,%22custType%22:%22EXISTING%22,%22orderType%22:%22UPGRADE%22,%22lookupMtn%22:%22*(*(NumberA)*%22,%22lineData%22:[{%22mtn%22:%22*(NumberA)*%22,%22upgType%22:%22ALTERNATE_UPGRADE%22,%22eligibleMtn%22:%22*(NumberB)*%22}]} Content-length: 0 ^^this last one actually returned me to a page in the middle of the process when I used the "Location:" given in this http header rather than the URL at the top of the cache page (and was signed in to Verizon's website through a separate tab), but the page it took me to had already been updated to reflect new information, it wasn't presented as of the time the actions were taken several days ago when the page was originally viewed. (It's clear I can't achieve what I'm looking for by visiting current versions of these pages on the web…I should actually probably disable my network adapter while testing this out). The cache folder seems promising, but I don't know what to make of all that hexadecimal mess - if it contains what I'm looking for and if so, how to view it. Finally, the third thing I've come across is the Google Chrome cache folder on my local machine, at ~/Library/Caches/Google/Chrome/ then there are 'Default' and 'Media Cache' folders within. There are ~4,000 files in the former averaging ~100kb each, and 100 files in the latter averaging ~900kb each. The filenames all start "f_00xxxx" except for files titled data_0 through data_4 in each folder. I'm not sure how to observe the contents of these files and don't really want to start opening them up and potentially overwriting existing cached pages, as I notice there are already some holes in the arrangement of the files which I have never deleted manually. Hopefully this is an easy question to answer for someone who knows this stuff, admittedly web stuff is my weak point. As such, I've spent the past five hours searching around and trying to provide all the information I can. I'm probably asking for a miracle - like can those cached pages full of hexadecimal data be used to recreate the representation of the information that was on screen during the process? Or could screenshots of the previously viewed webpages be lurking in the /Caches folder? I have doubt because the content wasn't viewed at a permanent link, rather it seems like the on-screen information was served by Verizon's db, and probably securely so. I'm just not sure if Chrome saves the visual rendering of the page contents somewhere, even just temporarily. Alternatively I would be happy just to get the raw data that was on the page, even if not a visual representation…I just need to be able to demonstrate the phone line that was referenced on this page: https://preorder.verizonwireless.com/iconic/iconic/secured/screens/IconicFeatures.do . Can anyone point me in the right direction?

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  • Can enabling a RAID controller's writeback cache harm overall performance?

    - by Nathan O'Sullivan
    I have an 8 drive RAID 10 setup connected to an Adaptec 5805Z, running Centos 5.5 and deadline scheduler. A basic dd read test shows 400mb/sec, and a basic dd write test shows about the same. When I run the two simultaneously, I see the read speed drop to ~5mb/sec while the write speed stays at more or less the same 400mb/sec. The output of iostat -x as you would expect, shows that very few read transactions are being executed while the disk is bombarded with writes. If i turn the controller's writeback cache off, I dont see a 50:50 split but I do see a marked improvement, somewhere around 100mb/s reads and 300mb/s writes. I've also found if I lower the nr_requests setting on the drive's queue (somewhere around 8 seems optimal) I can end up with 150mb/sec reads and 150mb/sec writes; ie. a reduction in total throughput but certainly more suitable for my workload. Is this a real phenomenon? Or is my synthetic test too simplistic? The reason this could happen seems clear enough, when the scheduler switches from reads to writes, it can run heaps of write requests because they all just land in the controllers cache but must be carried out at some point. I would guess the actual disk writes are occuring when the scheduler starts trying to perform reads again, resulting in very few read requests being executed. This seems a reasonable explanation, but it also seems like a massive drawback to using writeback cache on an system with non-trivial write loads. I've been searching for discussions around this all afternoon and found nothing. What am I missing?

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  • Cache of Objects or OutPut in View ? Wich is better ?

    - by Felipe
    Hi everybody, I have an ecommerce working in ASP.Net MVC. i'm using Caching to improve more performace in my pages and it's working fine. I'd link to know what is more performative, for example, I can set OutPutCache in my views and and use this cache for all page OR I could get my List of Products in controller, put it on cache (like the code below) and send it to View to render for the user??? private IEnumerable<Products> GetProductsCache(string key, ProductType type) { if (HttpContext.Cache[key] == null) HttpContext.Cache.Insert(key, ProductRepository.GetProducts(type), null, DateTime.Now.AddMinutes(10), Cache.NoSlidingExpiration); return (IEnumerable<Products>)HttpContext.Cache[key]; } public ActionResult Index() { var home = new HomeViewModel() { Products = GetProductsCache("ProductHomeCache", ProductType.Product) Services = GetProductsCache("ServiceHomeCache", ProductType.Service) }; return View(home); } Both works fine, but I'd like to know what is suggested to improve more performace ? Or is there others way to do it better ? PS: sorry for my english! thanks all... Cheers

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  • Force HTTPS with AWS Elastic load balancer

    - by panos2point0
    I need to redirect all incoming HTTP traffic to HTTPS on my elastic load balancer. I tired using Apache mod_rewrite: RewriteEngine On RewriteCond %{HTTP:X-Forwarded-Proto} !https RewriteRule !/status https://%{SERVER_NAME}%{REQUEST_URI} [L,R] Taking advantage of the X-Forwarded-Proto header added by the load balancer, this rule should instruct the users browser to request the HTTPS version of the same URL. So far It doesn't work (no redirection happens). What am I doing wrong? Is there a better way to do this?

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  • Loading the Cache from the Business Application Server

    - by ACShorten
    By default, the Web Application server will directly connect to the Database to load its cache at startup time. Customers, who implement the product installation in distributed mode, where the Web Application Server and Business Application Server are deployed separately, may wish to prevent the Web Application Server to connect to the database directly. Installation of the product in distributed mode was introduced in Oracle Utilities Application Framework V2.2. In the Advanced Web Application Server configuration, it is possible to set the Create Simple Web Application Context (WEBAPPCONTEXT) to true to force the Web Application Server to load its cache via the Business Application rather than direct loading. The value of false will retain the default behavior of allowing the Web Application Server to connect directly to the database at startup time to load the cache. The value of true will load the cache data via direct calls to the Business Application Server, which can cause a slight delay in the startup process to cater for the architecture load rather than the direct load. The impact of the settings is illustrated in the figure below:                             When setting this value to true, the following properties files should be manually removed prior to executing the product: $SPLEBASE/etc/conf/root/WEB-INF/classes/hibernate.properties $SPLEBASE/splapp/applications/root/WEB-INF/classes/hibernate.properties Note: For customers who are using a local installation, where the Web Application Server and Business Application Server are combined in the deployed server, it is recommended to set this parameter to false, the default, unless otherwise required. This facility is available for Oracle Utilities Application Framework V4.1 in Group Fix 3 (via Patch 11900153) and Patch 13538242 available from My Oracle Support.

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  • Dealing with Fine-Grained Cache Entries in Coherence

    - by jpurdy
    On occasion we have seen significant memory overhead when using very small cache entries. Consider the case where there is a small key (say a synthetic key stored in a long) and a small value (perhaps a number or short string). With most backing maps, each cache entry will require an instance of Map.Entry, and in the case of a LocalCache backing map (used for expiry and eviction), there is additional metadata stored (such as last access time). Given the size of this data (usually a few dozen bytes) and the granularity of Java memory allocation (often a minimum of 32 bytes per object, depending on the specific JVM implementation), it is easily possible to end up with the case where the cache entry appears to be a couple dozen bytes but ends up occupying several hundred bytes of actual heap, resulting in anywhere from a 5x to 10x increase in stated memory requirements. In most cases, this increase applies to only a few small NamedCaches, and is inconsequential -- but in some cases it might apply to one or more very large NamedCaches, in which case it may dominate memory sizing calculations. Ultimately, the requirement is to avoid the per-entry overhead, which can be done either at the application level by grouping multiple logical entries into single cache entries, or at the backing map level, again by combining multiple entries into a smaller number of larger heap objects. At the application level, it may be possible to combine objects based on parent-child or sibling relationships (basically the same requirements that would apply to using partition affinity). If there is no natural relationship, it may still be possible to combine objects, effectively using a Coherence NamedCache as a "map of maps". This forces the application to first find a collection of objects (by performing a partial hash) and then to look within that collection for the desired object. This is most naturally implemented as a collection of entry processors to avoid pulling unnecessary data back to the client (and also to encapsulate that logic within a service layer). At the backing map level, the NIO storage option keeps keys on heap, and so has limited benefit for this situation. The Elastic Data features of Coherence naturally combine entries into larger heap objects, with the caveat that only data -- and not indexes -- can be stored in Elastic Data.

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  • Caching preventing users seeing site updates

    - by Timmeh
    I'm experiencing a caching issue I can't explain. This is happening across browsers, IPs and ISPs. If a user force-refreshes, they see the new content. If they then refresh or return to the page, the old one displays. I've tried using headers via PHP such as header( 'Expires: Sat, 26 Jul 1997 05:00:00 GMT' ); header( 'Last-Modified: ' . gmdate( 'D, d M Y H:i:s' ) . ' GMT' ); header( 'Cache-Control: no-store, no-cache, must-revalidate' ); header( 'Cache-Control: post-check=0, pre-check=0', false ); header( 'Pragma: no-cache' ); Laid out correctly, at the very beginning of the file. The problem persists. A pan-ISP proxy is unlikely. Suggestions?

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  • ?Oracle DB 11gR2 ?????????????????????????????????????!

    - by Yuichi.Hayashi
    Oracle Database????????????????????????????????????????????????????????????????????????·?????????????????????? ?????????/?????????????????????????????????????11g R2??????????????! ????????? Oracle Database?????????????????????????????????????CPU????·???????????????????????????????????????????????? ?????????????????????????????????????????????? ??????????????????????????????(?????????????·???????)????????????????????????????????????????????????????·?????????????????????????????????????????? ?????????????????????????????????????? ????11g R2??????????????????????????????????????????????? ????????????????? ???????????????????????????????Oracle?????????????????????????????????????? ???????????????????CPU????????????????????????????????????????! Oracle Database????????????????????????????? Oracle ?????? - ??(??), ??, ????? Database Smart Flash Cache Oracle Database??Hard Disk Drive(HDD)???????????????????????SQL??????????????????????????????????????????????????·?????·?????100%??????????????????????????????? ?????????????·??????????CPU????·???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????(????·?????·????????)???????·??????????????????????????? HDD????????????????(???)?????????????????????HDD??IO?????????????????????????? ?????????Solid State Drive/Device(SSD)??? SSD?HDD??????????????????????????????????OLTP????????·??????????????????????????????????????????????????????SSD???????????????????????????? ???11g R2???????????SSD???????????Database Smart Flash Cache????????????Database Smart Flash Cache??????·???????????????????????????(Hot Data)?Oracle?????SSD??????????? ????????!?????????SSD????????????????????SSD????????????????????? SSD???????????????????????????????????? Database Smart Flash Cache?????????????????????? SSD???Oracle???: Database Smart Flash Cache - ??(??), ??, ????? ?????????? ? ???????????????/????????????????!? ? ???????????????????????????????????!?

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  • C#: How to implement a smart cache

    - by Svish
    I have some places where implementing some sort of cache might be useful. For example in cases of doing resource lookups based on custom strings, finding names of properties using reflection, or to have only one PropertyChangedEventArgs per property name. A simple example of the last one: public static class Cache { private static Dictionary<string, PropertyChangedEventArgs> cache; static Cache() { cache = new Dictionary<string, PropertyChangedEventArgs>(); } public static PropertyChangedEventArgs GetPropertyChangedEventArgsa(string propertyName) { if (cache.ContainsKey(propertyName)) return cache[propertyName]; return cache[propertyName] = new PropertyChangedEventArgs(propertyName); } } But, will this work well? For example if we had a whole load of different propertyNames, that would mean we would end up with a huge cache sitting there never being garbage collected or anything. I'm imagining if what is cached are larger values and if the application is a long-running one, this might end up as kind of a problem... or what do you think? How should a good cache be implemented? Is this one good enough for most purposes? Any examples of some nice cache implementations that are not too hard to understand or way too complex to implement?

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  • Flash Backed Write Cache (FBWC) without capacitor pack

    - by Martyn
    I brought a HP Smart Array P410 controller and it is installed and working fine in a HP Prolient Microserver with 4 drives in two RAID 1 arrays. I didn’t realise however that it came without any cache so would only work by directly writing straight to the disk, and the performance was horrible. So I then brought the 512MB Flash Backed Write Cache (FBWC) memory module as I was under the impression that with FBWC I would not need a battery. I got this idea from a forum post. "What do you guys think of the choice between 'BBWC' (battery backed write cache) and 'FBWC' (flash backed write cache)? The flashed based ones use non-volitile memory so need no battery." After installing the cache module however the server pretty much won’t boot. The P410 has a flashing amber light on it, and from the manual that doesn’t sound good. I’ve managed to get to the on board BIOS once and even managed to get to boot to the HP Array Configuration Utility (ACU) CD once, but every other time the Server continuingly reboots once it get to the POST screen and reads ARRAY INITILIZING %%%. The one time I reached the ACU, it reported a problem with the Cache Module. To me, it seems like the cache module is faulty, however the supplier tells me “Do you have an FBWC battery pack, p/n 587324-001, because that is required for the cache to work. If you have it, please complete an RMA form and we'll send a replacement / credit.” Does this sound right to you? I’ve been ordering the parts from the US and I don’t want to spend $77 + $40 p&p on a battery, wait a week for the shipping to find the card is faulty, and I don’t want to send back a working card?

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  • Sixeyed.Caching available now on NuGet and GitHub!

    - by Elton Stoneman
    Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/22/sixeyed.caching-available-now-on-nuget-and-github.aspxThe good guys at Pluralsight have okayed me to publish my caching framework (as seen in Caching in the .NET Stack: Inside-Out) as an open-source library, and it’s out now. You can get it here: Sixeyed.Caching source code on GitHub, and here: Sixeyed.Caching package v1.0.0 on NuGet. If you haven’t seen the course, there’s a preview here on YouTube: In-Process and Out-of-Process Caches, which gives a good flavour. The library is a wrapper around various cache providers, including the .NET MemoryCache, AppFabric cache, and  memcached*. All the wrappers inherit from a base class which gives you a set of common functionality against all the cache implementations: •    inherits OutputCacheProvider, so you can use your chosen cache provider as an ASP.NET output cache; •    serialization and encryption, so you can configure whether you want your cache items serialized (XML, JSON or binary) and encrypted; •    instrumentation, you can optionally use performance counters to monitor cache attempts and hits, at a low level. The framework wraps up different caches into an ICache interface, and it lets you use a provider directly like this: Cache.Memory.Get<RefData>(refDataKey); - or with configuration to use the default cache provider: Cache.Default.Get<RefData>(refDataKey); The library uses Unity’s interception framework to implement AOP caching, which you can use by flagging methods with the [Cache] attribute: [Cache] public RefData GetItem(string refDataKey) - and you can be more specific on the required cache behaviour: [Cache(CacheType=CacheType.Memory, Days=1] public RefData GetItem(string refDataKey) - or really specific: [Cache(CacheType=CacheType.Disk, SerializationFormat=SerializationFormat.Json, Hours=2, Minutes=59)] public RefData GetItem(string refDataKey) Provided you get instances of classes with cacheable methods from the container, the attributed method results will be cached, and repeated calls will be fetched from the cache. You can also set a bunch of cache defaults in application config, like whether to use encryption and instrumentation, and whether the cache system is enabled at all: <sixeyed.caching enabled="true"> <performanceCounters instrumentCacheTotalCounts="true" instrumentCacheTargetCounts="true" categoryNamePrefix ="Sixeyed.Caching.Tests"/> <encryption enabled="true" key="1234567890abcdef1234567890abcdef" iv="1234567890abcdef"/> <!-- key must be 32 characters, IV must be 16 characters--> </sixeyed.caching> For AOP and methods flagged with the cache attribute, you can override the compile-time cache settings at runtime with more config (keyed by the class and method name): <sixeyed.caching enabled="true"> <targets> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheConfiguredInternal" enabled="false"/> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheExpiresConfiguredInternal" seconds="1"/> </targets> It’s released under the MIT license, so you can use it freely in your own apps and modify as required. I’ll be adding more content to the GitHub wiki, which will be the main source of documentation, but for now there’s an FAQ to get you started. * - in the course the framework library also wraps NCache Express, but there's no public redistributable library that I can find, so it's not in Sixeyed.Caching.

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  • SQL SERVER – Faster SQL Server Databases and Applications – Power and Control with SafePeak Caching Options

    - by Pinal Dave
    Update: This blog post is written based on the SafePeak, which is available for free download. Today, I’d like to examine more closely one of my preferred technologies for accelerating SQL Server databases, SafePeak. Safepeak’s software provides a variety of advanced data caching options, techniques and tools to accelerate the performance and scalability of SQL Server databases and applications. I’d like to look more closely at some of these options, as some of these capabilities could help you address lagging database and performance on your systems. To better understand the available options, it is best to start by understanding the difference between the usual “Basic Caching” vs. SafePeak’s “Dynamic Caching”. Basic Caching Basic Caching (or the stale and static cache) is an ability to put the results from a query into cache for a certain period of time. It is based on TTL, or Time-to-live, and is designed to stay in cache no matter what happens to the data. For example, although the actual data can be modified due to DML commands (update/insert/delete), the cache will still hold the same obsolete query data. Meaning that with the Basic Caching is really static / stale cache.  As you can tell, this approach has its limitations. Dynamic Caching Dynamic Caching (or the non-stale cache) is an ability to put the results from a query into cache while maintaining the cache transaction awareness looking for possible data modifications. The modifications can come as a result of: DML commands (update/insert/delete), indirect modifications due to triggers on other tables, executions of stored procedures with internal DML commands complex cases of stored procedures with multiple levels of internal stored procedures logic. When data modification commands arrive, the caching system identifies the related cache items and evicts them from cache immediately. In the dynamic caching option the TTL setting still exists, although its importance is reduced, since the main factor for cache invalidation (or cache eviction) become the actual data updates commands. Now that we have a basic understanding of the differences between “basic” and “dynamic” caching, let’s dive in deeper. SafePeak: A comprehensive and versatile caching platform SafePeak comes with a wide range of caching options. Some of SafePeak’s caching options are automated, while others require manual configuration. Together they provide a complete solution for IT and Data managers to reach excellent performance acceleration and application scalability for  a wide range of business cases and applications. Automated caching of SQL Queries: Fully/semi-automated caching of all “read” SQL queries, containing any types of data, including Blobs, XMLs, Texts as well as all other standard data types. SafePeak automatically analyzes the incoming queries, categorizes them into SQL Patterns, identifying directly and indirectly accessed tables, views, functions and stored procedures; Automated caching of Stored Procedures: Fully or semi-automated caching of all read” stored procedures, including procedures with complex sub-procedure logic as well as procedures with complex dynamic SQL code. All procedures are analyzed in advance by SafePeak’s  Metadata-Learning process, their SQL schemas are parsed – resulting with a full understanding of the underlying code, objects dependencies (tables, views, functions, sub-procedures) enabling automated or semi-automated (manually review and activate by a mouse-click) cache activation, with full understanding of the transaction logic for cache real-time invalidation; Transaction aware cache: Automated cache awareness for SQL transactions (SQL and in-procs); Dynamic SQL Caching: Procedures with dynamic SQL are pre-parsed, enabling easy cache configuration, eliminating SQL Server load for parsing time and delivering high response time value even in most complicated use-cases; Fully Automated Caching: SQL Patterns (including SQL queries and stored procedures) that are categorized by SafePeak as “read and deterministic” are automatically activated for caching; Semi-Automated Caching: SQL Patterns categorized as “Read and Non deterministic” are patterns of SQL queries and stored procedures that contain reference to non-deterministic functions, like getdate(). Such SQL Patterns are reviewed by the SafePeak administrator and in usually most of them are activated manually for caching (point and click activation); Fully Dynamic Caching: Automated detection of all dependent tables in each SQL Pattern, with automated real-time eviction of the relevant cache items in the event of “write” commands (a DML or a stored procedure) to one of relevant tables. A default setting; Semi Dynamic Caching: A manual cache configuration option enabling reducing the sensitivity of specific SQL Patterns to “write” commands to certain tables/views. An optimization technique relevant for cases when the query data is either known to be static (like archive order details), or when the application sensitivity to fresh data is not critical and can be stale for short period of time (gaining better performance and reduced load); Scheduled Cache Eviction: A manual cache configuration option enabling scheduling SQL Pattern cache eviction based on certain time(s) during a day. A very useful optimization technique when (for example) certain SQL Patterns can be cached but are time sensitive. Example: “select customers that today is their birthday”, an SQL with getdate() function, which can and should be cached, but the data stays relevant only until 00:00 (midnight); Parsing Exceptions Management: Stored procedures that were not fully parsed by SafePeak (due to too complex dynamic SQL or unfamiliar syntax), are signed as “Dynamic Objects” with highest transaction safety settings (such as: Full global cache eviction, DDL Check = lock cache and check for schema changes, and more). The SafePeak solution points the user to the Dynamic Objects that are important for cache effectiveness, provides easy configuration interface, allowing you to improve cache hits and reduce cache global evictions. Usually this is the first configuration in a deployment; Overriding Settings of Stored Procedures: Override the settings of stored procedures (or other object types) for cache optimization. For example, in case a stored procedure SP1 has an “insert” into table T1, it will not be allowed to be cached. However, it is possible that T1 is just a “logging or instrumentation” table left by developers. By overriding the settings a user can allow caching of the problematic stored procedure; Advanced Cache Warm-Up: Creating an XML-based list of queries and stored procedure (with lists of parameters) for periodically automated pre-fetching and caching. An advanced tool allowing you to handle more rare but very performance sensitive queries pre-fetch them into cache allowing high performance for users’ data access; Configuration Driven by Deep SQL Analytics: All SQL queries are continuously logged and analyzed, providing users with deep SQL Analytics and Performance Monitoring. Reduce troubleshooting from days to minutes with database objects and SQL Patterns heat-map. The performance driven configuration helps you to focus on the most important settings that bring you the highest performance gains. Use of SafePeak SQL Analytics allows continuous performance monitoring and analysis, easy identification of bottlenecks of both real-time and historical data; Cloud Ready: Available for instant deployment on Amazon Web Services (AWS). As you can see, there are many options to configure SafePeak’s SQL Server database and application acceleration caching technology to best fit a lot of situations. If you’re not familiar with their technology, they offer free-trial software you can download that comes with a free “help session” to help get you started. You can access the free trial here. Also, SafePeak is available to use on Amazon Cloud. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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  • Firewall error when running Pando Media Booster (for League of Legends) in wine

    - by Matt2
    When I'm downloading League of Legends using Pando Media Booster in wine, I get an error when starting it: Connection Error Your system is currently not allowing access to our servers. Check your Firewall and/or security software sttings to allow PMB.exe to run. Reluctantly, I disabled ufw, but to no avail. The terminal displays the following multiple times: fixme:msvcp90:_Locinfo__Locinfo_ctor_cat_cstr (0x33fcf8 1 C) semi-stub fixme:dbghelp:EnumerateLoadedModulesW64 If this happens, bump the number in mod fixme:wininet:InternetAttemptConnect Stub fixme:oleacc:CreateStdAccessibleObject 0x4f00bc -4 {618736e0-3c3d-11cf-810c-00aa00389b71} 0xc252d18 fixme:oleacc:CreateStdAccessibleObject 0x3700c0 -4 {618736e0-3c3d-11cf-810c-00aa00389b71} 0xc252958 fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:uxtheme:BeginBufferedPaint Stub (0x1c28 0xcde880 0 (nil) 0xc2f6fe8) fixme:uxtheme:EndBufferedPaint Stub ((nil) 1) fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:uxtheme:EndBufferedPaint Stub ((nil) 1) fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:InternetAttemptConnect Stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:InternetAttemptConnect Stub fixme:wininet:InternetAttemptConnect Stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:advapi:RegisterEventSourceW ((null),L"BugSplat"): stub fixme:advapi:ReportEventW (0xcafe4242,0x0001,0x0000,0x00000001,(nil),0x0003,0x00000000,0x33f224,(nil)): stub err:eventlog:ReportEventW L"Pando_Win" err:eventlog:ReportEventW L"Pando" err:eventlog:ReportEventW L"-1" fixme:advapi:DeregisterEventSource (0xcafe4242) stub fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:wininet:CommitUrlCacheEntryInternal entry already in cache - don't know what to do! fixme:advapi:RegisterEventSourceW ((null),L"BugSplat"): stub fixme:advapi:ReportEventW (0xcafe4242,0x0001,0x0000,0x00000001,(nil),0x0003,0x00000000,0x33f224,(nil)): stub err:eventlog:ReportEventW L"Pando_Win" err:eventlog:ReportEventW L"Pando" err:eventlog:ReportEventW L"-1" fixme:advapi:DeregisterEventSource (0xcafe4242) stub Any idea what's going on here? Is there a better place to put this question?

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  • FireFox 6 Super Slow? Cache Settings Corruption

    - by Rick Strahl
    For those of you that follow me on Twitter, you've probably seen some of my tweets regarding major performance problems I've seen with the install of FireFox 6.0. FireFox 6.0 was released a couple of weeks ago and is treated as a 'force feed' update for FireFox 5.0. I'm not sure what the deal is with this braindead versioning that Mozilla is doing with major version releases coming out, what now every other month? Seriously that's retarded especially given the limited number of new features these releases bring, and the upgrade pain for plug-ins that the major version release causes. Anyway, after the FireFox updater bugged me long enough I finally gave in last week and updated to FireFox 6. Immediately after install I noticed terrible performance. Everything was running at a snail's pace with Web pages loading slowly and most content actually slowly 'painting' the page. A typical sign of content downloading slowly. However these are pages that should be mostly cached on my system and even repeated accesses ran just as slow. Just for a reality check I ran the same sites in Chrome (blazing fast) and IE (fast enough :-)) but FireFox - dog on a stick. Why so slow Boss? While complaining lots of people recommended to ditch FireFox - use Chrome, yada yada yada. Yeah, Chrome is fast and getting better but I have a number of plug-ins that I use in FF that I can't easily give up. So I suffered and started looking around more closely at what was happening. The first thing I noticed when accessing pages was that I continually saw accesses to the Google CDN downloading jQuery and jQuery UI. UI especially is pretty heavy in size and currently I'm in a location with a fairly slow IP connection where large files are a bit of an issue. However, seeing the CDN urls pop up repeatedly raised a flag with me. That stuff should be caching and it looked like each and every hit was reloading these scripts and various images over and over again. Fired up FireBug and sure enough I saw something like this on a repeated hit to my blog: Those two highlights are jquery and the main CSS file for the site and both are being loaded fully and taking a while to load. However, since this page had been loaded before, these items should be cached and show 304 requests instead of the full HTTP requests returning 200 result codes. In short it looked like FireFox was not caching ANY content at all and constantly reloading all page resources. No wonder things were running dog slow. Once I realized what the problem was I took a look in the about:config settings and lo and behold a bunch of the cache settings were set to not cache: In my case ALL the main cache flags were set to false for some reason that I can't figure out.  It appears that after the FireFox 6 update these flags somehow mysteriously changed and performance took a nose dive. Switching the .enable flags back to true and resetting all the cache settings tote default reverted performance back to the way it's supposed to be: reasonably fast and snappy as soon as content is cached and accessed again  from cache. I try not to muck with the about:config settings much (other than turning off the IPV6 option) but when there are problems access to these features can be really nice. However, I treat this as a last resort so it took me quite some time before I started looking through ALL the settings. This takes a while, not knowing what I was looking for exactly. If Web load performance is slow it's a good idea to check the cache settings. I have no idea what hosed these settings for me - I certainly didn't explicitly set them in about:config and while in FireFox's Options dialog I didn't see any option that would affect global caching like this, so this remains a mystery to me. Anyway, I hope that this is helpful to some, in case some of you end up running into a similar issue.© Rick Strahl, West Wind Technologies, 2005-2011Posted in FireFox   Tweet (function() { var po = document.createElement('script'); po.type = 'text/javascript'; po.async = true; po.src = 'https://apis.google.com/js/plusone.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(po, s); })();

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  • Best in-memory cache of DB objects for Silverlight [closed]

    - by Jon
    Hi, I'd like to set up a cache of database objects (i.e. rows in a table) in memory in silverlight, which I'll do using WCF and linq-to-sql. Once I have the objects in memory, I'm planning on using MSMQ to receive new objects whenever they have been modified. It's a somewhat complex approach but the goal is to reduce trips to the database and allow instant data communication between Silverlight applications that are connected to the MSMQ. My Silverlight applications are meant to be long-running and the amount of data to be cached will not be large. I'm planning on saving the in-memory cache using local storage. Anyway, in order to process the updated objects that come in, I'd like to know if the user has changed the existing object. Could I use some event relating to data-binding to set a flag indicating that the object has changes? Maybe there's a better way to do the cache entirely? Thanks!

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  • Pre-Populate the AppFabric Cache

    When I start talking to people about the caching functionality that is part of Windows Server AppFabric I am usually asked "What is the AppFabric Cache?"  The MSDN page at http://msdn.microsoft.com/en-us/library/ee790954.aspx provides a great overview (below) as well as additional information.  The Cache is defined as: "Windows Server AppFabric caching features use a cluster of servers that communicate with each other to form a single, unified application cache system. As a distributed...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Podcast: Dell Perot Systems Relies on Oracle In-Memory Database Cache

    - by john.brust
    Recently we spoke with Bill Binko, Technology Consultant at Dell Perot Systems, about a high volume web-based content delivery system they implemented for a client with Oracle In-Memory Database Cache. Their client needed to respond to ~1 billion hits (web requests) per day, but hadn't been able to support this load. Oracle In-Memory Database Cache allowed for multiple & complicated queries to take place without ever hitting the disk...providing sub-millisecond response time and ability to manage much higher high volumes of data. Old System: Old SQL Server Database, over 300 servers, difficult to maintain. New System: One Oracle Database 11g instance, multiple Oracle RAC nodes, backed up by Oracle Data Guard, and Oracle In-Memory Database Cache to cut query response times by 10x. Listen to the podcast.

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  • Distributed cache and improvement

    - by philipl
    Have this question from interview: Web Service function given x static HashMap map (singleton created) if (!map.containsKey(x)) { perform some function to retrieve result y map.put(x, y); } return y; The interviewer asked general question such as what is wrong with this distributed cache implementation. Then asked how to improve on it, due to distributed servers will have different cached key pairs in the map. There are simple mistakes to be pointed out about synchronization and key object, but what really startled me was that this guy thinks that moving to database implementation solves the problem that different servers will have different map content, i.e., the situation when value x is not on server A but on server B, therefore redundant data has to be retrieved in server A. Does his thinking make any sense? (As I understand this is the basic cons for distributed cache against database model, seems he does not understand it at all) What is the typical solution for the cache growth issue (weak reference?) and sync issue (do not know which server has the key already cached - use load balancing)? Thanks

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  • Where is the Mac Divx Web Player 7 cache folder?

    - by user30710
    Until recently, I was using Divx web player 1.4.2 because it seemed to be the least buggy. It was saving files in users/xxxxxx/movies/divx movies/temporary added files and was deleting them when the cache limit was reached. Now with 7, it's saving them alright cause I can watch my HD space go down, but I can't find them. And it's not respecting the cache limit size (mine is 4GB). The only way to clear up this space is a restart of the Mac. I'm running 10.6.8and Chrome. I've looked everywhere for the folder manually. Where is it?

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  • Windows 7: How to place SuperFetch cache on an SSD?

    - by Ian Boyd
    I'm thinking of adding a solid state drive (SSD) to my existing Windows 7 installation. I know I can (and should) move my paging file to the SSD: Should the pagefile be placed on SSDs? Yes. Most pagefile operations are small random reads or larger sequential writes, both of which are types of operations that SSDs handle well. In looking at telemetry data from thousands of traces and focusing on pagefile reads and writes, we find that Pagefile.sys reads outnumber pagefile.sys writes by about 40 to 1, Pagefile.sys read sizes are typically quite small, with 67% less than or equal to 4 KB, and 88% less than 16 KB. Pagefile.sys writes are relatively large, with 62% greater than or equal to 128 KB and 45% being exactly 1 MB in size. In fact, given typical pagefile reference patterns and the favorable performance characteristics SSDs have on those patterns, there are few files better than the pagefile to place on an SSD. What I don't know is if I even can put a SuperFetch cache (i.e. ReadyBoost cache) on the solid state drive. I want to get the benefit of Windows being able to cache gigabytes of frequently accessed data on a relativly small (e.g. 30GB) solid state drive. This is exactly what SuperFetch+ReadyBoost (or SuperFetch+ReadyDrive) was designed for. Will Windows offer (or let) me place a ReadyBoost cache on a solid state flash drive connected via SATA? A problem with the ReadyBoost cache over the ReadyDrive cache is that the ReadyBoost cache does not survive between reboots. The cache is encrypted with a per-session key, making its existing contents unusable during boot and SuperFetch pre-fetching during login. Update One I know that Windows Vista limited you to only one ReadyBoost.sfcache file (I do not know if Windows 7 removed that limitation): Q: Can use use multiple devices for EMDs? A: Nope. We've limited Vista to one ReadyBoost per machine Q: Why just one device? A: Time and quality. Since this is the first revision of the feature, we decided to focus on making the single device exceptional, without the difficulties of managing multiple caches. We like the idea, though, and it's under consideration for future versions. I also know that the 4GB limit on the cache file was a limitation of the FAT filesystem used on most USB sticks - an SSD drive would be formatted with NTFS: Q: What's the largest amount of flash that I can use for ReadyBoost? A: You can use up to 4GB of flash for ReadyBoost (which turns out to be 8GB of cache w/ the compression) Q: Why can't I use more than 4GB of flash? A: The FAT32 filesystem limits our ReadyBoost.sfcache file to 4GB Can a ReadyBoost cache on an NTFS volume be larger than 4GB? Update Two The ReadyBoost cache is encrypted with a per-boot session key. This means that the cache has to be re-built after each boot, and cannot be used to help speed boot times, or latency from login to usable. Windows ReadyDrive technology takes advantage of non-volatile (NV) memory (i.e. flash) that is incorporated with some hybrid hard drives. This flash cache can be used to help Windows boot, or resume from hibernate faster. Will Windows 7 use an internal SSD drive as a ReadyBoost/*ReadyDrive*/SuperFetch cache? Is it possible to make Windows store a SuperFetch cache (i.e. ReadyBoost) on a non-removable SSD? Is it possible to not encrypt the ReadyBoost cache, and if so will Windows 7 use the cache at boot time? See also SuperUser.com: ReadyBoost + SSD = ? Windows 7 - ReadyBoost & SSD drives? Support and Q&A for Solid-State Drives Using SDD as a cache for HDD, is there a solution? Performance increase using SSD for paging/fetch/cache or ReadyBoost? (Win7) Windows 7 To Boost SSD Performance How to Disable Nonvolatile Caching

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  • Why is IIS 7.5 flushing file cache very often?

    - by Steffen
    We're running a Win 2008 R2 server with IIS 7.5 for serving image files. It's only used for static content, and file caching has been set up to cache files for 10 minutes. However the IIS frequently completely flushes the cache (seen by using Perfmon) It's not application pool recycling, it's not because the TTL has expired, so now I'm at a loss :-( I've included a screenshot of the perfmon graph where you can clearly see the issue. Is there anywhere I can see WHY it's doing these flushes ? (Note: I'm aware I could maybe detect it by attaching a debugger to the process, but that's not an option because it's a production server, and it cannot handle the slowdown a debugger would cause)

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