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  • phpThumb cache problems

    - by Cabeludo
    I'm using phpThumb - the PHP thumbnail generator. 'phpThumb.config.php': $PHPTHUMB_CONFIG['cache_maxage'] = 10; $PHPTHUMB_CONFIG['cache_maxsize'] = 1000; $PHPTHUMB_CONFIG['cache_maxfiles'] = 10; but it does nothing... I've got 108 MB in 922 files... and it keeps growing. Thanks for any suggestions.

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  • Cache Auth Tokens (or Caching HTTP headers in General) - Best Practices

    - by viatropos
    I'm using the Ruby GData Library to access Google Docs and I recently got the GData::Client::CaptchaError because I was re-logging in with every request. Reading this post, it recommends not logging in with every request, but caching the authentication token. How do I go about doing that correctly? Google says it expires every 24 hours, and it doesn't seem like I should store it in the session, so what should I do? I'm using Ruby on Rails with all this. Thanks so much

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  • "conveyor belt" cache architecture

    - by Andrew Matthews
    I'm producing an application with a few peculiar internal communication characteristics that make the usual suspects for data storage and transport (Qs and RDBMSs) ill-fitted. I'm wondering whether there is a product out there that matches the following characteristics: all data put into it is peristent all reads are delivered out of memory data is universally available data lives where it is most needed data is versioned (nice to have) updates are transactional (I'd like ACID characteristics) data is potentially replicated, but always in sync works on windows is based on or has bindings for .NET is really fast is really robust is redundant is scalable I'm looking at things like Microsoft codename "Velocity", but I am not sure whether it fits all of the above characteristics. Likewise, Memcached is not a perfect fit either. The current version of this app opts for an RDBMS with a signaling system for inter-system sync, but latency is too high and versioning of the DB is a pain. I need all the robustness, but with none of the trade-offs.

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  • Needed help with deleting rails cache

    - by WarDoGG
    I have been given a project of editing a website which is coded in RoR. However, the changes which i make in the view file is not visible immediately after a hard refresh but after 15-20 mins, the changes reflect. I am guessing this has something to do with the RoR caching system. Can someone please help me out ? The changes i made are purely HTML based like changing HTML attributes, filenames etc...

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  • Why this cache doesn't work using final as modifier

    - by Pentium10
    I have this code to get the Cursor once for this instance, and the Log shows it is called many times although I marked as final. What I am missing? private Cursor getAllContactsCached() { final Cursor c=this.getList(); return c; } getAllContactsCached method should retrieve list once, and the 2nd time it should reuse the final object for return

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  • xml cache on iphone

    - by dubbeat
    Hi, Could somebody suggest a technique or class library to read up on for XML Caching on the iphone? The biggest lag in my app is the XML being downloaded from the server. If a user views a screen the xml has to be downloaded and parsed and theres a wait of a few seconds. If they leave the screen and come back to it again they have to wait all over again which is kinda crappy.

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  • How to make Windows 7 machine allocate a lot of hard disk cache?

    - by Jian Lin
    I am recording some game play capture (recording playing of PS3 or Wii) using a PC with Windows 7 and Hauppauge 1212 HD Recorder, and I have 4GB of RAM... is there a way to increase the size of Windows 7's hard disk cache size so that writing to the hard drive can be super fast? Since there is at least 1.5GB of RAM not being used, something like allocating 1GB just as hard disk cache, is it possible?

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  • Does extra hard drive cache make a difference for streaming video?

    - by johnny
    I am looking at the following two drives for a RAID device, which will be streaming normal things but also a lot of video: Seagate Constellation ES.3 ST4000NM0033 - hard drive - 4 TB - SATA-600 TOSHIBA DT01ACA300 3TB 7200 RPM 64MB Cache SATA 6.0Gb/s 3.5" Will the 128 MB cache on the Seagate have an effect in my described scenario, compared to the 64 MB on the Toshiba? If so, what sort of difference can I expect? I'm using a qnap device, if that matters.

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  • How much does HDD cache matter with Linux softraid?

    - by Jawa
    I'm in a process of renewing/expanding my disk sets, but not quite sure what kind of disks to get, cache-wise. What difference does disk cache amount of 16/32/64MB do, in capacities of, say, 1/1.5/2TB SATA disks? The disks will be used in a webapp server and in a media workstation, with Linux's softraid in raid-1/raid-5 configurations. Note, that as both purposes are purely for a hobby, the pricetag for a dozen of disks is a big issue.

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  • How do I flush the DNS cache in Mac OS X 10.5?

    - by Svish
    I have done some changes to /private/etc/hosts on my mac and need to flush the DNS cache. Previously been using lookupd -flushcache on Mac OS X 10.4 to do this successfully. However something seems to have changed in Mac OS X 10.5, cause the lookupd command doesn't seem to exist? How do you flush the DNS cache in Mac OS X 10.5?

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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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  • 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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  • 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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