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• Measuring ASP.NET and SharePoint output cache

  - by DigiMortal

  During ASP.NET output caching week in my local blog I wrote about how to measure ASP.NET output cache. As my posting was based on real work and real-life results then I thought that this posting is maybe interesting to you too. So here you can read what I did, how I did and what was the result. Introduction Caching is not effective without measuring it. As MVP Henn Sarv said in one of his sessions then you will get what you measure. And right he is. Lately I measured caching on local Microsoft community portal to make sure that our caching strategy is good enough in environment where this system lives. In this posting I will show you how to start measuring the cache of your web applications. Although the application measured is built on SharePoint Server publishing infrastructure, all those counters have same meaning as similar counters under pure ASP.NET applications. Measured counters I used Performance Monitor and the following performance counters (their names are similar on ASP.NET and SharePoint WCMS): Total number of objects added – how much objects were added to output cache. Total object discards – how much objects were deleted from output cache. Cache hit count – how many times requests were served by cache. Cache hit ratio – percent of requests served from cache. The first three counters are cumulative while last one is coefficient. You can use also other counters to measure the full effect of caching (memory, processor, disk I/O, network load etc before and after caching). Measuring process The measuring I describe here started from freshly restarted web server. I measured application during 12 hours that covered also time ranges when users are most active. The time range does not include late evening hours and night because there is nothing to measure during these hours. During measuring we performed no maintenance or administrative tasks on server. All tasks performed were related to usual daily content management and content monitoring. Also we had no advertisement campaigns or other promotions running at same time. The results You can see the results on following graphic.   Total number of objects added   Total object discards   Cache hit count   Cache hit ratio You can see that adds and discards are growing in same tempo. It is good because cache expires and not so popular items are not kept in memory. If there are more popular content then the these lines may have bigger distance between them. Cache hit count grows faster and this shows that more and more content is served from cache. In current case it shows that cache is filled optimally and we can do even better if we tune caches more. The site contains also pages that are discarded when some subsite changes (page was added/modified/deleted) and one modification may affect about four or five pages. This may also decrease cache hit count because during day the site gets about 5-10 new pages. Cache hit ratio is currently extremely good. The suggested minimum is about 85% but after some tuning and measuring I achieved 98.7% as a result. This is due to the fact that new pages are most often requested and after new pages are added the older ones are requested only sometimes. So they get discarded from cache and only some of these will return sometimes back to cache. Although this may also indicate the need for additional SEO work the result is very well in technical means. Conclusion Measuring ASP.NET output cache is not complex thing to do and you can start by measuring performance of cache as a start. Later you can move on and measure caching effect to other counters such as disk I/O, network, processors etc. What you have to achieve is optimal cache that is not full of items asked only couple of times per day (you can avoid this by not using too long cache durations). After some tuning you should be able to boost cache hit ratio up to at least 85%.

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• Store Varnish cache in hard disk

  - by Great Kuma

  Hello, The situation is: Im building PHP application, and need http caching. Varnish is great, and lots of people tell me that Varnish store the cached data in RAM. But I want it cached in hard disk. Is there any way to store the Varnish cached data in hard disk? thanks.

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• Locking Cache Key without Locking the entire Cache

  - by Gandalf

  I have servlets that caches user information rather then retrieving it from the user store on every request (shared Ehcache). The issue I have is that if a client is multi-threaded and they make more then one simultaneous request, before they have been authenticated, then I get this in my log: Retrieving User [Bob] Retrieving User [Bob] Retrieving User [Bob] Returned [Bob] ...caching Returned [Bob] ...caching Returned [Bob] ...caching What I would want is that the first request would call the user service, while the other two requests get blocked - and when the first request returns, and then caches the object, the other two requests go through: Retrieving User [Bob] blocking... blocking... Returned [Bob] ...caching [Bob] found in cache [Bob] found in cache I've thought about locking on the String "Bob" (because due to interning it's always the same object right?). Would that work? And if so how do I keep track of the keys that actually exist in the cache and build a locking mechanism around them that would then return the valid object once it's retrieved. Thanks.

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• SQL SERVER – Plan Cache and Data Cache in Memory

  - by pinaldave

  I get following question almost all the time when I go for consultations or training. I often end up providing the scripts to my clients and attendees. Instead of writing new blog post, today in this single blog post, I am going to cover both the script and going to link to original blog posts where I have mentioned about this blog post. Plan Cache in Memory USE AdventureWorks GO SELECT [text], cp.size_in_bytes, plan_handle FROM sys.dm_exec_cached_plans AS cp CROSS APPLY sys.dm_exec_sql_text(plan_handle) WHERE cp.cacheobjtype = N'Compiled Plan' ORDER BY cp.size_in_bytes DESC GO Further explanation of this script is over here: SQL SERVER – Plan Cache – Retrieve and Remove – A Simple Script Data Cache in Memory USE AdventureWorks GO SELECT COUNT(*) AS cached_pages_count, name AS BaseTableName, IndexName, IndexTypeDesc FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT s_obj.name, s_obj.index_id, s_obj.allocation_unit_id, s_obj.OBJECT_ID, i.name IndexName, i.type_desc IndexTypeDesc FROM ( SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id ,allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.TYPE = 1 OR au.TYPE = 3) UNION ALL SELECT OBJECT_NAME(OBJECT_ID) AS name, index_id, allocation_unit_id, OBJECT_ID FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.TYPE = 2 ) AS s_obj LEFT JOIN sys.indexes i ON i.index_id = s_obj.index_id AND i.OBJECT_ID = s_obj.OBJECT_ID ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = DB_ID() GROUP BY name, index_id, IndexName, IndexTypeDesc ORDER BY cached_pages_count DESC; GO Further explanation of this script is over here: SQL SERVER – Get Query Plan Along with Query Text and Execution Count Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, SQL, SQL Authority, SQL Optimization, SQL Performance, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, T SQL Tagged: SQL Memory

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• Add a Cache Clearing Button to Firefox

  - by Asian Angel

  While emptying your browser’s cache may not be something that you need to worry with often or at all there are times when clearing it can be helpful. The Empty Cache Button extension lets you have instant on-demand cache clearing in Firefox. Some reasons why you might want or need to clear your browser’s cache: Clear out older (or out of date) versions of images, etc. from your favorite websites Free up disk space Clearing the cache may help fix browser behavior issues Help protect privacy (i.e. images, etc. displayed within a personal account) Before For our example we loaded three webpages in order to add content to our browser’s cache. Using the “CacheViewer” we were able to easily see the contents of our browser’s cache after the webpages finished loading. What if you need to clear your cache immediately without restarting your browser (if the options are set to empty the cache on browser exit)? Note: CacheViewer is available via a separate extension and can be found here. Empty Cache Button in Action Once you install the extension all that you need to do is right click on any of your browser’s toolbars and select “Customise”. Drag the “Toolbar Button” to an appropriate location in your browser’s UI and you are ready to go. To clear your browser’s cache simply click the button…that is all there is to it. When the cache is empty you will see this small message window appear in the lower right corner of your “Desktop”. Opening up the “CacheViewer” again shows that everything has been cleared out. Terrific! Conclusion If you ever find yourself needing to clear your browser’s cache immediately then the Empty Cache Button extension provides an easy way to do so without restarting your browser (if the options are set to empty the cache on browser exit). Links Download the Empty Cache Button extension (Mozilla Add-ons) Similar Articles Productive Geek Tips Change SuperFetch to Only Cache System Boot Files in VistaTroubleshoot Browsing Issues by Reloading the DNS Client Cache in VistaSearch for Install Packages from the Ubuntu Command LineQuick Tip: Empty Internet Explorer 7 Cache when Browser is ClosedRemove the New Tab Button in Firefox TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips Revo Uninstaller Pro Registry Mechanic 9 for Windows PC Tools Internet Security Suite 2010 PCmover Professional Use Quick Translator to Translate Text in 50 Languages (Firefox) Get Better Windows Search With UltraSearch Scan News With NY Times Article Skimmer SpeedyFox Claims to Speed up your Firefox Beware Hover Kitties Test Drive Mobile Phones Online With TryPhone

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• using apple-mobile-web-app-capable and cache.manifest issue [migrated]

  - by LocoMike

  So I have this simple html file <!DOCTYPE HTML> <html manifest="cache.manifest"><head> <meta name="apple-mobile-web-app-capable" content="yes"> <meta name="apple-mobile-web-app-status-bar-style" content="black"> <title>Test</title> <meta http-equiv="content-type" content="text/html"> <meta name="HandheldFriendly" content="true"> <meta name="viewport" content="width=320; initial-scale=1.0; maximum-scale=1.0; user-scalable=0;"> <style type="text/css"></style></head> <body marginwidth="0" marginheight="0" topmargin="0" leftmargin="0"> <h1>hello</h1> </body> </html> My cache.manifest is simply CACHE MANIFEST I run this website on my local server (localhost). I load it from iphone safari and it works fine. I then stop the server and load it again, and it works, because the offline cache is doing its job. However... if I save the website as a start icon in the iphone dashboard, and then I try to open it with the server stopped it won't load. However... if I open it with the server running at least once (it will work) then I can open it later without problem. It looks like even though the page was cached in safari, it is not cached in this saved app. Anybody knows how to get around this? Thank you!

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• How can I disable the prefetch cache?

  - by Oli

  I run a few Ubuntu servers that have a load of django sites running on them. The sites and the httpd start at boot and after that (apart from me SSHing in to update it or using bzr to update websites) nothing else gets run on it. At the moment over half the ram is allocated as cache. This isn't a problem because cache usually makes space or a little bit of it slips into swap (again, this doesn't really bother me) but I don't see the need for it. Is there a quick way to disable the cache? This is more of an experiment than anything else so it would be handy to know how to turn it back on again.

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• Windows Azure Evolution &ndash; Caching (Preview)

  - by Shaun

  Caching is a popular topic when we are building a high performance and high scalable system not only on top of the cloud platform but the on-premise environment as well. On March 2011 the Windows Azure AppFabric Caching had been production launched. It provides an in-memory, distributed caching service over the cloud. And now, in this June 2012 update, the cache team announce a grand new caching solution on Windows Azure, which is called Windows Azure Caching (Preview). And the original Windows Azure AppFabric Caching was renamed to Windows Azure Shared Caching.   What’s Caching (Preview) If you had been using the Shared Caching you should know that it is constructed by a bunch of cache servers. And when you want to use you should firstly create a cache account from the developer portal and specify the size you want to use, which means how much memory you can use to store your data that wanted to be cached. Then you can add, get and remove them through your code through the cache URL. The Shared Caching is a multi-tenancy system which host all cached items across all users. So you don’t know which server your data was located. This caching mode works well and can take most of the cases. But it has some problems. The first one is the performance. Since the Shared Caching is a multi-tenancy system, which means all cache operations should go through the Shared Caching gateway and then routed to the server which have the data your are looking for. Even though there are some caches in the Shared Caching system it also takes time from your cloud services to the cache service. Secondary, the Shared Caching service works as a block box to the developer. The only thing we know is my cache endpoint, and that’s all. Someone may satisfied since they don’t want to care about anything underlying. But if you need to know more and want more control that’s impossible in the Shared Caching. The last problem would be the price and cost-efficiency. You pay the bill based on how much cache you requested per month. But when we host a web role or worker role, it seldom consumes all of the memory and CPU in the virtual machine (service instance). If using Shared Caching we have to pay for the cache service while waste of some of our memory and CPU locally. Since the issues above Microsoft offered a new caching mode over to us, which is the Caching (Preview). Instead of having a separated cache service, the Caching (Preview) leverage the memory and CPU in our cloud services (web role and worker role) as the cache clusters. Hence the Caching (Preview) runs on the virtual machines which hosted or near our cloud applications. Without any gateway and routing, since it located in the same data center and same racks, it provides really high performance than the Shared Caching. The Caching (Preview) works side-by-side to our application, initialized and worked as a Windows Service running in the virtual machines invoked by the startup tasks from our roles, we could get more information and control to them. And since the Caching (Preview) utilizes the memory and CPU from our existing cloud services, so it’s free. What we need to pay is the original computing price. And the resource on each machines could be used more efficiently.   Enable Caching (Preview) It’s very simple to enable the Caching (Preview) in a cloud service. Let’s create a new windows azure cloud project from Visual Studio and added an ASP.NET Web Role. Then open the role setting and select the Caching page. This is where we enable and configure the Caching (Preview) on a role. To enable the Caching (Preview) just open the “Enable Caching (Preview Release)” check box. And then we need to specify which mode of the caching clusters we want to use. There are two kinds of caching mode, co-located and dedicate. The co-located mode means we use the memory in the instances we run our cloud services (web role or worker role). By using this mode we must specify how many percentage of the memory will be used as the cache. The default value is 30%. So make sure it will not affect the role business execution. The dedicate mode will use all memory in the virtual machine as the cache. In fact it will reserve some for operation system, azure hosting etc.. But it will try to use as much as the available memory to be the cache. As you can see, the Caching (Preview) was defined based on roles, which means all instances of this role will apply the same setting and play as a whole cache pool, and you can consume it by specifying the name of the role, which I will demonstrate later. And in a windows azure project we can have more than one role have the Caching (Preview) enabled. Then we will have more caches. For example, let’s say I have a web role and worker role. The web role I specified 30% co-located caching and the worker role I specified dedicated caching. If I have 3 instances of my web role and 2 instances of my worker role, then I will have two caches. As the figure above, cache 1 was contributed by three web role instances while cache 2 was contributed by 2 worker role instances. Then we can add items into cache 1 and retrieve it from web role code and worker role code. But the items stored in cache 1 cannot be retrieved from cache 2 since they are isolated. Back to our Visual Studio we specify 30% of co-located cache and use the local storage emulator to store the cache cluster runtime status. Then at the bottom we can specify the named caches. Now we just use the default one. Now we had enabled the Caching (Preview) in our web role settings. Next, let’s have a look on how to consume our cache.   Consume Caching (Preview) The Caching (Preview) can only be consumed by the roles in the same cloud services. As I mentioned earlier, a cache contributed by web role can be connected from a worker role if they are in the same cloud service. But you cannot consume a Caching (Preview) from other cloud services. This is different from the Shared Caching. The Shared Caching is opened to all services if it has the connection URL and authentication token. To consume the Caching (Preview) we need to add some references into our project as well as some configuration in the Web.config. NuGet makes our life easy. Right click on our web role project and select “Manage NuGet packages”, and then search the package named “WindowsAzure.Caching”. In the package list install the “Windows Azure Caching Preview”. It will download all necessary references from the NuGet repository and update our Web.config as well. Open the Web.config of our web role and find the “dataCacheClients” node. Under this node we can specify the cache clients we are going to use. For each cache client it will use the role name to identity and find the cache. Since we only have this web role with the Caching (Preview) enabled so I pasted the current role name in the configuration. Then, in the default page I will add some code to show how to use the cache. I will have a textbox on the page where user can input his or her name, then press a button to generate the email address for him/her. And in backend code I will check if this name had been added in cache. If yes I will return the email back immediately. Otherwise, I will sleep the tread for 2 seconds to simulate the latency, then add it into cache and return back to the page. 1: protected void btnGenerate_Click(object sender, EventArgs e) 2: { 3: // check if name is specified 4: var name = txtName.Text; 5: if (string.IsNullOrWhiteSpace(name)) 6: { 7: lblResult.Text = "Error. Please specify name."; 8: return; 9: } 10:  11: bool cached; 12: var sw = new Stopwatch(); 13: sw.Start(); 14:  15: // create the cache factory and cache 16: var factory = new DataCacheFactory(); 17: var cache = factory.GetDefaultCache(); 18:  19: // check if the name specified is in cache 20: var email = cache.Get(name) as string; 21: if (email != null) 22: { 23: cached = true; 24: sw.Stop(); 25: } 26: else 27: { 28: cached = false; 29: // simulate the letancy 30: Thread.Sleep(2000); 31: email = string.Format("{0}@igt.com", name); 32: // add to cache 33: cache.Add(name, email); 34: } 35:  36: sw.Stop(); 37: lblResult.Text = string.Format( 38: "Cached = {0}. Duration: {1}s. {2} => {3}", 39: cached, sw.Elapsed.TotalSeconds.ToString("0.00"), name, email); 40: } The Caching (Preview) can be used on the local emulator so we just F5. The first time I entered my name it will take about 2 seconds to get the email back to me since it was not in the cache. But if we re-enter my name it will be back at once from the cache. Since the Caching (Preview) is distributed across all instances of the role, so we can scaling-out it by scaling-out our web role. Just use 2 instances and tweak some code to show the current instance ID in the page, and have another try. Then we can see the cache can be retrieved even though it was added by another instance.   Consume Caching (Preview) Across Roles As I mentioned, the Caching (Preview) can be consumed by all other roles within the same cloud service. For example, let’s add another web role in our cloud solution and add the same code in its default page. In the Web.config we add the cache client to one enabled in the last role, by specifying its role name here. Then we start the solution locally and go to web role 1, specify the name and let it generate the email to us. Since there’s no cache for this name so it will take about 2 seconds but will save the email into cache. And then we go to web role 2 and specify the same name. Then you can see it retrieve the email saved by the web role 1 and returned back very quickly. Finally then we can upload our application to Windows Azure and test again. Make sure you had changed the cache cluster status storage account to the real azure account.   More Awesome Features As a in-memory distributed caching solution, the Caching (Preview) has some fancy features I would like to highlight here. The first one is the high availability support. This is the first time I have heard that a distributed cache support high availability. In the distributed cache world if a cache cluster was failed, the data it stored will be lost. This behavior was introduced by Memcached and is followed by almost all distributed cache productions. But Caching (Preview) provides high availability, which means you can specify if the named cache will be backup automatically. If yes then the data belongs to this named cache will be replicated on another role instance of this role. Then if one of the instance was failed the data can be retrieved from its backup instance. To enable the backup just open the Caching page in Visual Studio. In the named cache you want to enable backup, change the Backup Copies value from 0 to 1. The value of Backup Copies only for 0 and 1. “0” means no backup and no high availability while “1” means enabled high availability with backup the data into another instance. But by using the high availability feature there are something we need to make sure. Firstly the high availability does NOT means the data in cache will never be lost for any kind of failure. For example, if we have a role with cache enabled that has 10 instances, and 9 of them was failed, then most of the cached data will be lost since the primary and backup instance may failed together. But normally is will not be happened since MS guarantees that it will use the instance in the different fault domain for backup cache. Another one is that, enabling the backup means you store two copies of your data. For example if you think 100MB memory is OK for cache, but you need at least 200MB if you enabled backup. Besides the high availability, the Caching (Preview) support more features introduced in Windows Server AppFabric Caching than the Windows Azure Shared Caching. It supports local cache with notification. It also support absolute and slide window expiration types as well. And the Caching (Preview) also support the Memcached protocol as well. This means if you have an application based on Memcached, you can use Caching (Preview) without any code changes. What you need to do is to change the configuration of how you connect to the cache. Similar as the Windows Azure Shared Caching, MS also offers the out-of-box ASP.NET session provider and output cache provide on top of the Caching (Preview).   Summary Caching is very important component when we building a cloud-based application. In the June 2012 update MS provides a new cache solution named Caching (Preview). Different from the existing Windows Azure Shared Caching, Caching (Preview) runs the cache cluster within the role instances we have deployed to the cloud. It gives more control, more performance and more cost-effect. So now we have two caching solutions in Windows Azure, the Shared Caching and Caching (Preview). If you need a central cache service which can be used by many cloud services and web sites, then you have to use the Shared Caching. But if you only need a fast, near distributed cache, then you’d better use Caching (Preview).   Hope this helps, Shaun All documents and related graphics, codes are provided "AS IS" without warranty of any kind. Copyright © Shaun Ziyan Xu. This work is licensed under the Creative Commons License.

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• How should I store Dynamically Changing Data into Server Cache?

  - by Scott

  Hey all, EDIT: Purpose of this Website: Its called Utopiapimp.com. It is a third party utility for a game called utopia-game.com. The site currently has over 12k users to it an I run the site. The game is fully text based and will always remain that. Users copy and paste full pages of text from the game and paste the copied information into my site. I run a series of regular expressions against the pasted data and break it down. I then insert anywhere from 5 values to over 30 values into the DB based on that one paste. I then take those values and run queries against them to display the information back in a VERY simple and easy to understand way. The game is team based and each team has 25 users to it. So each team is a group and each row is ONE users information. The users can update all 25 rows or just one row at a time. I require storing things into cache because the site is very slow doing over 1,000 queries almost every minute. So here is the deal. Imagine I have an excel spreadsheet with 100 columns and 5000 rows. Each row has two unique identifiers. One for the row it self and one to group together 25 rows a piece. There are about 10 columns in the row that will almost never change and the other 90 columns will always be changing. We can say some will even change in a matter of seconds depending on how fast the row is updated. Rows can also be added and deleted from the group, but not from the database. The rows are taken from about 4 queries from the database to show the most recent and updated data from the database. So every time something in the database is updated, I would also like the row to be updated. If a row or a group has not been updated in 12 or so hours, it will be taken out of Cache. Once the user calls the group again via the DB queries. They will be placed into Cache. The above is what I would like. That is the wish. In Reality, I still have all the rows, but the way I store them in Cache is currently broken. I store each row in a class and the class is stored in the Server Cache via a HUGE list. When I go to update/Delete/Insert items in the list or rows, most the time it works, but sometimes it throws errors because the cache has changed. I want to be able to lock down the cache like the database throws a lock on a row more or less. I have DateTime stamps to remove things after 12 hours, but this almost always breaks because other users are updating the same 25 rows in the group or just the cache has changed. This is an example of how I add items to Cache, this one shows I only pull the 10 or so columns that very rarely change. This example all removes rows not updated after 12 hours: DateTime dt = DateTime.UtcNow; if (HttpContext.Current.Cache["GetRows"] != null) { List<RowIdentifiers> pis = (List<RowIdentifiers>)HttpContext.Current.Cache["GetRows"]; var ch = (from xx in pis where xx.groupID == groupID where xx.rowID== rowID select xx).ToList(); if (ch.Count() == 0) { var ck = GetInGroupNotCached(rowID, groupID, dt); //Pulling the group from the DB for (int i = 0; i < ck.Count(); i++) pis.Add(ck[i]); pis.RemoveAll((x) => x.updateDateTime < dt.AddHours(-12)); HttpContext.Current.Cache["GetRows"] = pis; return ck; } else return ch; } else { var pis = GetInGroupNotCached(rowID, groupID, dt);//Pulling the group from the DB HttpContext.Current.Cache["GetRows"] = pis; return pis; } On the last point, I remove items from the cache, so the cache doesn't actually get huge. To re-post the question, Whats a better way of doing this? Maybe and how to put locks on the cache? Can I get better than this? I just want it to stop breaking when removing or adding rows.

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• Chrome causing 404's ending with "/cache/[hex-string]/"?

  - by Jan Fabry

  Since the last weeks we see many 404's on our sites caused by Chrome adding /cache/[hex-string]/ to the current page URL. The hex strings we have seen are: e9c5ecc3f9d7fa1291240700c8da0728 1d292296547f895c613a210468b705b7 408cfdf76534ee8f14657ac884946ef2 9b0771373b319ba4f132b9447c7060a4 b8cd4270356f296f1c5627aa88d43349 If you search for these strings you get matches from different sites, but they are most likely auto-generated (/search/cache/e9c5ecc3f9d7fa1291240700c8da0728/ for example). Is this a known issue with Chrome (or an extension)?

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• Cache-Control and Expires doesn't Work

  - by mTuran

  Hi, I set up cache-control and expires headers via .htaccess but already it doesn't load from browser cache. When i enter the uri, i am waitting for load from web site. URI: http://www.btgmaslak.com/static/images/main_container_background_11.jpg

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• ExpressCache not working after Windows 8 reinstall on Samsung Series 7 Gamer

  - by Morven

  I have a Samsung Series 7 Gamer laptop which came with Windows 8. After doing a reinstall of Windows, the ExpressCache software is no longer caching. Running "eccmd -info" shows me that the software is present and it has the MSATA drive partition configured. However, it's not actually caching anything. These are the results after having the system booted for days: C:\windows\system32eccmd -info ExpressCache Command Version 1.0.94.0 Copyright¬ 2010-2012 Condusiv Technologies. Date Time: 11/3/2013 12:26:20:263 (JAMETHIEL #36) EC Cache Info ================================================== Mounted : Yes Partition Size : 7.46 GB Reserved Size : 3.00 MB Volume Size : 7.46 GB Total Used Size : 86.50 MB Total Free Space : 7.38 GB Used Data Size : 16.63 MB Used Data Size on Disk : 84.38 MB Tiered Cache Stats ================================================== Memory in use : 32.00 MB Blocks in use : 136 Read Percent : 0.02% Cache Stats ================================================== Cache Volume Drive Number : 1 Total Read Count : 97242 Total Read Size : 4.13 GB Total Cache Read Count : 0 Total Cache Read Size : 595.50 KB Total Write Count : 161546 Total Write Size : 5.89 GB Total Cache Write Count : 0 Total Cache Write Size : 0 Bytes Cache Read Percent : 0.01% Cache Write Percent : 0.00% As you can see on the last two lines, cache read and write percent is nigh on zero. Anyone know where to look next? The only guides I can find deal with ExpressCache not being present or not having a configured drive.

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• Implement System.Web.Caching.Cache Object in a controller to cache specific query

  - by Julien

  Hello World! I'm Julien and I have a question is it correct to implement my caching object like this in my controller : public class HomeController : BaseController { public static Cache cachingControl = new Cache(); ... And I Use it like this : public ActionResult Home() { IndexViewData view = new IndexViewData(); view.UserId = UserId; if (cachingControl.Get("viewHome") != null) { view = (IndexViewData)cachingControl.Get("viewHome"); } else { view.allAdsList = AllAds(5000, 0); if (Request.QueryString["voirTous"] != null) view.loadGeneral(true); else view.loadGeneral(false); cachingControl.Insert("viewHome", view); } view.adsList = SetupSearch(5, false, 0); return View(view); } But When I Call this line : if (cachingControl.Get("viewHome") != null) { They trow me the error NullErrorException But I know it can be null this is why i'm put this condition to Do you have an alternative or a tips for me thank you! P.S.: I Know that the code is weird :P but I must to support it ... Julien

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• Problem With HTML5 Application Cache Whitelist - Won't Ignore Items

  - by Ryan Donnelly

  I'm trying to use HTML5 Application Cache to speed some things up on an iPhone webapp. It works great for storing images, css and JS, but the problem is that it also tries to store the HTML. I haven't been able to get it to ignore the html and stop storing it in the cache. From what I've read, I have to "whitelist" the files and directories that I want to load no matter what. I've tried listing the files I want cached explicitly, and I've tried adding a series of things under the "NETWORK:" heading. I've tried * / /* http://mysite.com http://mysite.com/ http://mysite.com/* None of them seem to work. Is there any way to ignore HTML files by MIME-Type or anything? Any advice would be appreciated. Ryan P.S. Of course, my site is not mysite.com..I just used that for simplicity.

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• How do I use Zend Cache on this particular problem

  - by davykiash

  I have an action that renders two different view scripts based on whether the user is logged in or not. class IndexController extends Zend_Controller_Action { .... public function indexAction() { $auth = Zend_Auth::getInstance(); if($auth->hasIdentity()) { $this->render('indexregistered'); return; } else { $this->render('indexpublic'); return; } } .... } I have seen quite some useful examples on how to use the Zend Cache and they seem to be based on the fact that the action renders one particular script. What am really looking at is the best approach to cache the the indexpublic script does get quite some hits and I would live to avoid the Zend MVC overhead if possible.

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• Reload Document into Google Docs Viewer (Clear Cache)

  - by Adam

  Google Docs Viewer (http://docs.google.com/viewer) creates a cache of a document after the first viewing. To see what I mean, try the following: Upload file.pdf to your server (i.e., http://example.com). Visit http://docs.google.com/viewer?url=http://example.com/file.pdf Upload a new file to replace file.pdf (but use the same name). Revisit http://docs.google.com/viewer?url=http://example.com/file.pdf. Google Docs Viewer still shows the old file.pdf. Anyone know how to correct this? (I have already tried clearing browser cache, switching browsers, and logging in with a different google account to view the link.)

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• RAM Cache always full

  - by Tobias

  I have 6GB RAM, i5 2.4GHZ Processor running Ubuntu 11.10. When streaming online or opening several tabs in Chromium I soon have 4GB Memory in the cache. And this makes my Notebook slow. When streaming a video, after a few minutes it really slows down and stumbles/jerks. I partitioned my HD so that I have 8GB swap. What could the problem be? How can I solve this? P.s: initially I had 4gb and recently upgraded to 6GB, but I did not experience a significant change. P.P.S: if I enter "free -g" in the terminal this is the result: total used free shared buffers cached Mem: 5 2 3 0 0 0 -/+ buffers/cache: 1 4 Swap: 8 0 8

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• Wrong content for URL cache on Google

  - by user32592

  I have this website natural-track.com and when I do a cache check I get a completely different website,This is Google's cache of http://www.backpackers-planet.com/modules.php?name=Web_Links&l_op=visit&lid=3379 , unrelated to my site. I have checked with the host, they say all is well on their side. How can we fix it? The site also went off from Google Search. We are about to rebuild this site to a better professional platform but first we would like to have an idea of what happened and how to fix it.

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• Google Cache showing wrong URL

  - by Sathiya Kumar

  I searched the cache details of the URL http://property.sulekha.com/pune-properties but the Google Cache showing details for property.sulekha.com. I don't know why it's showing like this. Not only for http://property.sulekha.com/pune-properties but also for all the Indian city relates URL's like http://property.sulekha.com/chennai-properties , http://property.sulekha.com/mumbai-properties , http://property.sulekha.com/kolkata-properties etc. Even i don't find these urls in the Google search result. If i search Chennai properties in Google, i find property.sulekha.com and not http://property.sulekha.com/chennai-properties . Why its happening like this? Please let me know

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• Offline apt-get update to age of cache

  - by James Haigh

  I have a script to quickly upgrade a Live or fresh system from cached files on a flash drive. In essence, it looks like this: # *Code to remove and symlink /var/cache/apt/ if currently empty of packages.* sudo apt-get dist-upgrade # Quick offline cached upgrade; not limited by slow WANs. echo $'\nMake sure Internet is reachable and press enter for complete online upgrade.'; read sudo apt-get update sudo apt-get dist-upgrade # Complete online upgrade. The problem is that the ‘cached upgrade’ seems to ignore the cached pkgcache.bin and srcpkgcache.bin which is where I assume apt-get update stores its changes, so the upgrade completes as if the system is up-to-date. Useless. So in that case, I need some code to apt-get update to the age of the package cache on my flash drive. This code would be placed between the 1st and 2nd lines of the code above.

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• More about JuJu cache

  - by koxon

  I would like to know more about JuJu cache. After I start a charm and JuJu provisions a machine for the first time, the charm will be downloaded and all dependencies installed (apt-get, etc). This process can be very long. Once the charm has been build, configured and deployed once, can JuJu provision more instances of the same charm pre-built and configured? I presume that's what the cache is for, but the documentation is not very explicit: https://juju.ubuntu.com/docs/charms-deploying.html How JuJu tracks the state of the charm if it works that way? Thanks Nic

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• Know more about Cache Buffer Handle

  - by Liu Maclean(???)

  ??????«latch free:cache buffer handles???SQL????»?????cache buffer handle latch?????,?????????: “?????pin?buffer header???????buffer handle,??buffer handle?????????cache buffer handles?,??????cache buffer handles??????,???????cache???buffer handles,?????(reserved set)?????????????_db_handles_cached(???5)???,?????????????????SQL??????????????????????,????pin??????,????????handle,?????????5?cached buffer handles???handle????????????????,Oracle?????????????????pin?”????“?buffer,????????????????handle???db_block_buffers/processes,????_cursor_db_buffers_pinned???????cache buffer handles?????,??????,????????????SQL,????cache?buffer handles?????????,??????????????,???????????/?????” ????T.ASKMACLEAN.COM????,??????cache Buffer handle?????: cache buffer handle ??: ------------------------------ | Buffer state object | ------------------------------ | Place to hang the buffer | ------------------------------ | Consistent Get? | ------------------------------ | Proc Owning SO | ------------------------------ | Flags(RIR) | ------------------------------ ???? cache buffer handle SO: 70000046fdfe530, type: 24, owner: 70000041b018630, flag: INIT/-/-/0×00(buffer) (CR) PR: 70000048e92d148 FLG: 0×500000lock rls: 0, class bit: 0kcbbfbp: [BH: 7000001c7f069b0, LINK: 70000046fdfe570]where: kdswh02: kdsgrp, why: 0BH (7000001c7f069b0) file#: 12 rdba: 0×03061612 (12/398866) class: 1 ba: 7000001c70ee000set: 75 blksize: 8192 bsi: 0 set-flg: 0 pwbcnt: 0dbwrid: 2 obj: 66209 objn: 48710 tsn: 6 afn: 12hash: [700000485f12138,700000485f12138] lru: [70000025af67790,700000132f69ee0]lru-flags: hot_bufferckptq: [NULL] fileq: [NULL] objq: [700000114f5dd10,70000028bf5d620]use: [70000046fdfe570,70000046fdfe570] wait: [NULL]st: SCURRENT md: SHR tch: 0flags: affinity_lockLRBA: [0x0.0.0] HSCN: [0xffff.ffffffff] HSUB: [65535]where: kdswh02: kdsgrp, why: 0 # Example:#   (buffer) (CR) PR: 37290 FLG:    0#   kcbbfbp    : [BH: befd8, LINK: 7836c] (WAITING) Buffer handle (X$KCBBF) kernel cache, buffer buffer_handles Query x$kcbbf  – lists all the buffer handles ???? _db_handles             System-wide simultaneous buffer operations ,no of buffer handles_db_handles_cached      Buffer handles cached each process , no of processes  default 5_cursor_db_buffers_pinned  additional number of buffers a cursor can pin at once_session_kept_cursor_pins       Number of cursors pins to keep in a session When a buffer is pinned it is attached to buffer state object. ??? ???????? cache buffer handles latch ? buffer pin???: SESSION A : SQL> select * from v$version; BANNER ---------------------------------------------------------------- Oracle Database 10g Enterprise Edition Release 10.2.0.5.0 - 64bi PL/SQL Release 10.2.0.5.0 - Production CORE    10.2.0.5.0      Production TNS for Linux: Version 10.2.0.5.0 - Production NLSRTL Version 10.2.0.5.0 - Production SQL> create table test_cbc_handle(t1 int); Table created. SQL> insert into test_cbc_handle values(1); 1 row created. SQL> commit; Commit complete. SQL> select rowid from test_cbc_handle; ROWID ------------------ AAANO6AABAAAQZSAAA SQL> select * from test_cbc_handle where rowid='AAANO6AABAAAQZSAAA';         T1 ----------          1 SQL> select addr,name from v$latch_parent where name='cache buffer handles'; ADDR             NAME ---------------- -------------------------------------------------- 00000000600140A8 cache buffer handles SQL> select to_number('00000000600140A8','xxxxxxxxxxxxxxxxxxxx') from dual; TO_NUMBER('00000000600140A8','XXXXXXXXXXXXXXXXXXXX') ----------------------------------------------------                                           1610694824 ??cache buffer handles????parent latch ??? child latch ???SESSION A hold ??????cache buffer handles parent latch ???? oradebug call kslgetl ??, kslgetl?oracle??get latch??? SQL> oradebug setmypid; Statement processed. SQL> oradebug call kslgetl 1610694824 1; Function returned 1 ?????SESSION B ???: SQL> select * from v$latchholder;        PID        SID LADDR            NAME                                                                   GETS ---------- ---------- ---------------- ---------------------------------------------------------------- ----------         15        141 00000000600140A8 cache buffer handles                                                    119 cache buffer handles latch ???session A hold??,????????acquire cache buffer handle latch SQL> select * from test_cbc_handle where rowid='AAANO6AABAAAQZSAAA';         T1 ----------          1 ?????Server Process?????? read buffer, ????????"_db_handles_cached", ??process?cache 5? cache buffer handle ??"_db_handles_cached"=0,?process????5????cache buffer handle , ???? process ???pin buffer,???hold cache buffer handle latch??????cache buffer handle SQL> alter system set "_db_handles_cached"=0 scope=spfile; System altered. ????? shutdown immediate; startup; session A: SQL> oradebug setmypid; Statement processed. SQL> oradebug call kslgetl 1610694824 1; Function returned 1 session B: select * from test_cbc_handle where rowid='AAANO6AABAAAQZSAAA'; session B hang!! WHY? SQL> oradebug setmypid; Statement processed. SQL> oradebug dump systemstate 266; Statement processed.   SO: 0x11b30b7b0, type: 2, owner: (nil), flag: INIT/-/-/0x00   (process) Oracle pid=22, calls cur/top: (nil)/0x11b453c38, flag: (0) -             int error: 0, call error: 0, sess error: 0, txn error 0   (post info) last post received: 0 0 0               last post received-location: No post               last process to post me: none               last post sent: 0 0 0               last post sent-location: No post               last process posted by me: none     (latch info) wait_event=0 bits=8       holding    (efd=4) 600140a8 cache buffer handles level=3   SO: 0x11b305810, type: 2, owner: (nil), flag: INIT/-/-/0x00   (process) Oracle pid=10, calls cur/top: 0x11b455ac0/0x11b450a58, flag: (0) -             int error: 0, call error: 0, sess error: 0, txn error 0   (post info) last post received: 0 0 0               last post received-location: No post               last process to post me: none               last post sent: 0 0 0               last post sent-location: No post               last process posted by me: none     (latch info) wait_event=0 bits=2         Location from where call was made: kcbzgs:       waiting for 600140a8 cache buffer handles level=3 FBD93353:000019F0    10   162 10005   1 KSL WAIT BEG [latch: cache buffer handles] 1610694824/0x600140a8 125/0x7d 0/0x0 FF936584:00002761    10   144 10005   1 KSL WAIT BEG [latch: cache buffer handles] 1610694824/0x600140a8 125/0x7d 0/0x0 PID=22 holding ??cache buffer handles latch PID=10 ?? cache buffer handles latch, ????"_db_handles_cached"=0 ?? process??????cache buffer handles ??systemstate???? kcbbfbp cache buffer handle??, ?? "_db_handles_cached"=0 ? cache buffer handles latch?hold ?? ????cache buffer handles latch , ??? buffer?pin?????????? session A exit session B: SQL> select * from v$latchholder; no rows selected SQL> insert into test_cbc_handle values(2); 1 row created. SQL> commit; Commit complete. SQL> SQL> select t1,rowid from test_cbc_handle;         T1 ROWID ---------- ------------------          1 AAANPAAABAAAQZSAAA          2 AAANPAAABAAAQZSAAB SQL> select spid,pid from v$process where addr = ( select paddr from v$session where sid=(select distinct sid from v$mystat)); SPID                PID ------------ ---------- 19251                10 ? GDB ? SPID=19215 ?debug , ?? kcbrls ????breakpoint ??? ????release buffer [oracle@vrh8 ~]$ gdb $ORACLE_HOME/bin/oracle 19251 GNU gdb (GDB) Red Hat Enterprise Linux (7.0.1-37.el5) Copyright (C) 2009 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html> This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law.  Type "show copying" and "show warranty" for details. This GDB was configured as "x86_64-redhat-linux-gnu". For bug reporting instructions, please see: <http://www.gnu.org/software/gdb/bugs/>... Reading symbols from /s01/oracle/product/10.2.0.5/db_1/bin/oracle...(no debugging symbols found)...done. Attaching to program: /s01/oracle/product/10.2.0.5/db_1/bin/oracle, process 19251 Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libskgxp10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libskgxp10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libhasgen10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libhasgen10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libskgxn2.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libskgxn2.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libocr10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libocr10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libocrb10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libocrb10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libocrutl10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libocrutl10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libjox10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libjox10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libclsra10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libclsra10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libdbcfg10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libdbcfg10.so Reading symbols from /s01/oracle/product/10.2.0.5/db_1/lib/libnnz10.so...(no debugging symbols found)...done. Loaded symbols for /s01/oracle/product/10.2.0.5/db_1/lib/libnnz10.so Reading symbols from /usr/lib64/libaio.so.1...(no debugging symbols found)...done. Loaded symbols for /usr/lib64/libaio.so.1 Reading symbols from /lib64/libdl.so.2...(no debugging symbols found)...done. Loaded symbols for /lib64/libdl.so.2 Reading symbols from /lib64/libm.so.6...(no debugging symbols found)...done. Loaded symbols for /lib64/libm.so.6 Reading symbols from /lib64/libpthread.so.0...(no debugging symbols found)...done. [Thread debugging using libthread_db enabled] Loaded symbols for /lib64/libpthread.so.0 Reading symbols from /lib64/libnsl.so.1...(no debugging symbols found)...done. Loaded symbols for /lib64/libnsl.so.1 Reading symbols from /lib64/libc.so.6...(no debugging symbols found)...done. Loaded symbols for /lib64/libc.so.6 Reading symbols from /lib64/ld-linux-x86-64.so.2...(no debugging symbols found)...done. Loaded symbols for /lib64/ld-linux-x86-64.so.2 Reading symbols from /lib64/libnss_files.so.2...(no debugging symbols found)...done. Loaded symbols for /lib64/libnss_files.so.2 0x00000035c000d940 in __read_nocancel () from /lib64/libpthread.so.0 (gdb) break kcbrls Breakpoint 1 at 0x10e5d24 session B: select * from test_cbc_handle where rowid='AAANPAAABAAAQZSAAA'; select hang !! GDB (gdb) c Continuing. Breakpoint 1, 0x00000000010e5d24 in kcbrls () (gdb) bt #0  0x00000000010e5d24 in kcbrls () #1  0x0000000002e87d25 in qertbFetchByUserRowID () #2  0x00000000030c62b8 in opifch2 () #3  0x00000000032327f0 in kpoal8 () #4  0x00000000013b7c10 in opiodr () #5  0x0000000003c3c9da in ttcpip () #6  0x00000000013b3144 in opitsk () #7  0x00000000013b60ec in opiino () #8  0x00000000013b7c10 in opiodr () #9  0x00000000013a92f8 in opidrv () #10 0x0000000001fa3936 in sou2o () #11 0x000000000072d40b in opimai_real () #12 0x000000000072d35c in main () SQL> oradebug setmypid; Statement processed. SQL> oradebug dump systemstate 266; Statement processed. ?????? kcbbfbp buffer cache handle ?  SO state object ? BH BUFFER HEADER  link???     ----------------------------------------     SO: 0x11b452348, type: 3, owner: 0x11b305810, flag: INIT/-/-/0x00     (call) sess: cur 11b41bd18, rec 0, usr 11b41bd18; depth: 0       ----------------------------------------       SO: 0x1182dc750, type: 24, owner: 0x11b452348, flag: INIT/-/-/0x00       (buffer) (CR) PR: 0x11b305810 FLG: 0x108000       class bit: (nil)       kcbbfbp: [BH: 0xf2fc69f8, LINK: 0x1182dc790]       where: kdswh05: kdsgrp, why: 0       BH (0xf2fc69f8) file#: 1 rdba: 0x00410652 (1/67154) class: 1 ba: 0xf297c000         set: 3 blksize: 8192 bsi: 0 set-flg: 2 pwbcnt: 272         dbwrid: 0 obj: 54208 objn: 54202 tsn: 0 afn: 1         hash: [f2fc47f8,1181f3038] lru: [f2fc6b88,f2fc6968]         obj-flags: object_ckpt_list         ckptq: [1182ecf38,1182ecf38] fileq: [1182ecf58,1182ecf58] objq: [108712a28,108712a28]         use: [1182dc790,1182dc790] wait: [NULL]         st: XCURRENT md: SHR tch: 12         flags: buffer_dirty gotten_in_current_mode block_written_once                 redo_since_read         LRBA: [0xc7.73b.0] HSCN: [0x0.1cbe52] HSUB: [1]         Using State Objects           ----------------------------------------           SO: 0x1182dc750, type: 24, owner: 0x11b452348, flag: INIT/-/-/0x00           (buffer) (CR) PR: 0x11b305810 FLG: 0x108000           class bit: (nil)           kcbbfbp: [BH: 0xf2fc69f8, LINK: 0x1182dc790]           where: kdswh05: kdsgrp, why: 0         buffer tsn: 0 rdba: 0x00410652 (1/67154)         scn: 0x0000.001cbe52 seq: 0x01 flg: 0x02 tail: 0xbe520601         frmt: 0x02 chkval: 0x0000 type: 0x06=trans data tab 0, row 0, @0x1f9a tl: 6 fb: --H-FL-- lb: 0x0  cc: 1 col  0: [ 2]  c1 02 tab 0, row 1, @0x1f94 tl: 6 fb: --H-FL-- lb: 0x2  cc: 1 col  0: [ 2]  c1 15 end_of_block_dump         (buffer) (CR) PR: 0x11b305810 FLG: 0x108000 st: XCURRENT md: SHR tch: 12 ? buffer header?status= XCURRENT mode=KCBMSHARE KCBMSHR     current share ?????  x$kcbbf ????? cache buffer handle SQL> select distinct KCBBPBH from  x$kcbbf ; KCBBPBH ---------------- 00 00000000F2FC69F8            ==>0xf2fc69f8 SQL> select * from x$kcbbf where kcbbpbh='00000000F2FC69F8'; ADDR                   INDX    INST_ID KCBBFSO_TYP KCBBFSO_FLG KCBBFSO_OWN ---------------- ---------- ---------- ----------- ----------- ----------------   KCBBFFLG    KCBBFCR    KCBBFCM KCBBFMBR         KCBBPBH ---------- ---------- ---------- ---------------- ---------------- KCBBPBF          X0KCBBPBH        X0KCBBPBF        X1KCBBPBH ---------------- ---------------- ---------------- ---------------- X1KCBBPBF        KCBBFBH            KCBBFWHR   KCBBFWHY ---------------- ---------------- ---------- ---------- 00000001182DC750        748          1          24           1 000000011B452348    1081344          1          0 00               00000000F2FC69F8 00000001182DC750 00               00000001182DC750 00 00000001182DC7F8 00                      583          0 SQL> desc x$kcbbf;  Name                                      Null?    Type  ----------------------------------------- -------- ----------------------------  ADDR                                               RAW(8)  INDX                                               NUMBER  INST_ID                                            NUMBER  KCBBFSO_TYP                                        NUMBER  KCBBFSO_FLG                                        NUMBER  KCBBFSO_OWN                                        RAW(8)  KCBBFFLG                                           NUMBER  KCBBFCR                                            NUMBER  KCBBFCM                                            NUMBER  KCBBFMBR                                           RAW(8)  KCBBPBH                                            RAW(8)  KCBBPBF                                            RAW(8)  X0KCBBPBH                                          RAW(8)  X0KCBBPBF                                          RAW(8)  X1KCBBPBH                                          RAW(8)  X1KCBBPBF                                          RAW(8)  KCBBFBH                                            RAW(8)  KCBBFWHR                                           NUMBER  KCBBFWHY                                           NUMBER gdb ?? ?process??????kcbrls release buffer? ???cache buffer handle??? SQL> select distinct KCBBPBH from  x$kcbbf ; KCBBPBH ---------------- 00

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• Varnish configuration to only cache for non-logged in users

  - by davidsmalley

  I have a Ruby on Rails application fronted by varnish+nginx. As most of the sites content is static unless you are a logged in user, I want to cache the site heavily with varnish when a user is logged out but only to cache static assets when they are logged in. When a user is logged in they will have the cookie 'user_credentials' present in their Cookie: header, in addition I need to skip caching on /login and /sessions in order that a user can get their 'user_credentials' cookie in the first place. Rails by default does not set a cache friendly Cache-control header, but my application sets a "public,s-max-age=60" header when a user is not logged in. Nginx is set to return 'far future' expires headers for all static assets. The configuration I have at the moment is totally bypassing the cache for everything when logged in, including static assets — and is returning cache MISS for everything when logged out. I've spent hours going around in circles and here is my current default.vcl director rails_director round-robin { { .backend = { .host = "xxx.xxx.xxx.xxx"; .port = "http"; .probe = { .url = "/lbcheck/lbuptest"; .timeout = 0.3 s; .window = 8; .threshold = 3; } } } } sub vcl_recv { if (req.url ~ "^/login") { pipe; } if (req.url ~ "^/sessions") { pipe; } # The regex used here matches the standard rails cache buster urls # e.g. /images/an-image.png?1234567 if (req.url ~ "\.(css|js|jpg|jpeg|gif|ico|png)\??\d*$") { unset req.http.cookie; lookup; } else { if (req.http.cookie ~ "user_credentials") { pipe; } } # Only cache GET and HEAD requests if (req.request != "GET" && req.request != "HEAD") { pipe; } } sub vcl_fetch { if (req.url ~ "^/login") { pass; } if (req.url ~ "^/sessions") { pass; } if (req.http.cookie ~ "user_credentials") { pass; } else { unset req.http.Set-Cookie; } # cache CSS and JS files if (req.url ~ "\.(css|js|jpg|jpeg|gif|ico|png)\??\d*$") { unset req.http.Set-Cookie; } if (obj.status >=400 && obj.status <500) { error 404 "File not found"; } if (obj.status >=500 && obj.status <600) { error 503 "File is Temporarily Unavailable"; } } sub vcl_deliver { if (obj.hits > 0) { set resp.http.X-Cache = "HIT"; } else { set resp.http.X-Cache = "MISS"; } }

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• How do Expires headers and cache manifest rules work together?

  - by Robert K

  I find the W3C's official Offline Web Applications specification to be rather vague about how the cache manifest interacts with headers such as ETag, Expires, or Pragma on cached assets. I know that the manifest should be checked with each request so that the browser knows when to check the other assets for updates. But because the specification doesn't define how the cache manifest interacts with normal cache instructions, I can't predict precisely how the browser will react. Will assets with a future expiration date be refreshed (no matter the cache headers) when the cache manifest is updated? Or, will those assets obey the normal caching rules? Which caching mechanism, HTTP cache versus cache manifest, will take precedence, and when?

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• Using memory-based cache together with conventional cache

  - by Industrial

  Hi! Here's the deal. We would have taken the complete static html road to solve performance issues, but since the site will be partially dynamic, this won't work out for us. What we have thought of instead is using memcache + eAccelerator to speed up PHP and take care of caching for the most used data. Here's our two approaches that we have thought of right now: Using memcache on all<< major queries and leaving it alone to do what it does best. Usinc memcache for most commonly retrieved data, and combining with a standard harddrive-stored cache for further usage. The major advantage of only using memcache is of course the performance, but as users increases, the memory usage gets heavy. Combining the two sounds like a more natural approach to us, even though the theoretical compromize in performance. Memcached appears to have some replication features available as well, which may come handy when it's time to increase the nodes. What approach should we use? - Is it stupid to compromize and combine the two methods? Should we insted be focusing on utilizing memcache and instead focusing on upgrading the memory as the load increases with the number of users? Thanks a lot!

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