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  • C# - Inserting and Removing from Cache

    - by Nir
    1 - If I insert to Cache by assigning the value: Cache["key"] = value; what's the expiration time? 2 - Removing the same value from Cache: I want to check if the value is in Cache by if(Cache["key"]!=null), is it better to remove it from Cache by Cache.Remove("key") or Cache["key"]=null ?

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  • Enabling OUD Entry Cache for large static groups

    - by Sylvain Duloutre
    Oracle Unified Directory can take advantage of several caches to improve performances. especially the so-called database cache and the file system cache. In addition to that, it is possible to use an entry cache to cache LDAP entries. By default, the entry cache is not used. In specific deployements involving large static groups, it may worth loading the group entries to the entry cache to speed up group membership and group-based aci evaluation. To do so, run the following commands: First, specify which entries should reside in the entry cache. In the commad below, only entries matching the LDAP filter " (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) " will be stored in the entry cache. dsconfig set-entry-cache-prop \          --cache-name FIFO \          --add include-filter:\(\|\(objctclass=groupOfNames\)\(objectclass=groupOfUniqueNames\)\)          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt Then enable the entry cache: dsconfig set-entry-cache-prop \          --cache-name FIFO \          --set enabled:true \          --port <ADMIN_PORT> \          --bindDN cn=Directory\ Manager \          --bindPassword ****** \          --no-prompt In addition to that, you can control how much memory the entry cache can use: oud@s96sec1d0-v3:/application/oud : dsconfig -X -n -p <ADMIN PORT> -D "cn=Directory Manager" -w <password> get-entry-cache-prop --cache-name FIFO Property           : Value(s) -------------------:----------------------------------------------------------- cache-level        : 1 enabled            : true exclude-filter     : - include-filter     : (|(objctclass=groupOfNames)(objectclass=groupOfUniqueNames)) max-entries        : 2147483647 max-memory-percent : 90 You can change the max-entries amd max-memory-percent properties to control the entry cache size using the dsconfig set-entry-cache-prop command.

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  • Changing Flash player of Firefox cache

    - by Prasenjit Chatterjee
    I want to relocate the Flash player plugin of Firefox cache so that it saves my C: drive space when I watch youtube videos. I successfully changed the firefox cache by opening about:config and then created a new string key "browser.cache.disk.parent_directory" where I put the value of the new cache location. But it doesn't work with online streaming contents such as youtube videos. Please guide me where does it get stored and how to change its cache into another drive.

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  • How to invalidate cache when benchmarking?

    - by Michael Buen
    I have this code, that when swapping the order of UsingAs and UsingCast, their performance also swaps. using System; using System.Diagnostics; using System.Linq; using System.IO; class Test { const int Size = 30000000; static void Main() { object[] values = new MemoryStream[Size]; UsingAs(values); UsingCast(values); Console.ReadLine(); } static void UsingCast(object[] values) { Stopwatch sw = Stopwatch.StartNew(); int sum = 0; foreach (object o in values) { if (o is MemoryStream) { var m = (MemoryStream)o; sum += (int)m.Length; } } sw.Stop(); Console.WriteLine("Cast: {0} : {1}", sum, (long)sw.ElapsedMilliseconds); } static void UsingAs(object[] values) { Stopwatch sw = Stopwatch.StartNew(); int sum = 0; foreach (object o in values) { if (o is MemoryStream) { var m = o as MemoryStream; sum += (int)m.Length; } } sw.Stop(); Console.WriteLine("As: {0} : {1}", sum, (long)sw.ElapsedMilliseconds); } } Outputs: As: 0 : 322 Cast: 0 : 281 When doing this... UsingCast(values); UsingAs(values); ...Results to this: Cast: 0 : 322 As: 0 : 281 When doing just this... UsingAs(values); ...Results to this: As: 0 : 322 When doing just this: UsingCast(values); ...Results to this: Cast: 0 : 322 Aside from running them independently, how to invalidate the cache so the second code being benchmarked won't receive the cached memory of first code? Benchmarking aside, just loved the fact that modern processors do this caching magic :-)

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  • Throttling Cache Events

    - by dxfelcey
    The real-time eventing feature in Coherence is great for relaying state changes to other systems or to users. However, sometimes not all changes need to or can be sent to consumers. For instance; If rapid changes cannot be consumed or interpreted as fast as they are being sent. A user looking at changing Stock prices may only be able to interpret and react to 1 change per second. A client may be using low bandwidth connection, so rapidly sending events will only result in them being queued and delayed A large number of clients may need to be notified of state changes and sending 100 events p/s to 1000 clients cannot be supported with the available hardware, but 10 events p/s to 1000 clients can. Note this example assumes that many of the state changes are to the same value. One simple approach to throttling Coherence cache events is to use a cache store to capture changes to one cache (data cache) and insert those changes periodically in another cache (events cache). Consumers interested in state changes to entires in the first cache register an interest (event listener) against the second event cache. By using the cache store write-behind feature rapid updates to the same cache entry are coalesced so that updates are merged and written at the interval configured to the event cache. The time interval at which changes are written to the events cache can easily be configured using the write-behind delay time in the cache configuration, as shown below.   <caching-schemes>     <distributed-scheme>       <scheme-name>CustomDistributedCacheScheme</scheme-name>       <service-name>CustomDistributedCacheService</service-name>       <thread-count>1</thread-count>       <backing-map-scheme>         <read-write-backing-map-scheme>           <scheme-name>CustomRWBackingMapScheme</scheme-name>           <internal-cache-scheme>             <local-scheme />           </internal-cache-scheme>           <cachestore-scheme>             <class-scheme>               <scheme-name>CustomCacheStoreScheme</scheme-name>               <class-name>com.oracle.coherence.test.CustomCacheStore</class-name>               <init-params>                 <init-param>                   <param-type>java.lang.String</param-type>                   <param-value>{cache-name}</param-value>                 </init-param>                 <init-param>                   <param-type>java.lang.String</param-type>                   <!-- The name of the cache to write events to -->                   <param-value>cqc-test</param-value>                 </init-param>               </init-params>             </class-scheme>           </cachestore-scheme>           <write-delay>1s</write-delay>           <write-batch-factor>0</write-batch-factor>         </read-write-backing-map-scheme>       </backing-map-scheme>       <autostart>true</autostart>     </distributed-scheme>   </caching-schemes> The cache store implementation to perform this throttling is trivial and only involves overriding the basic cache store functions. public class CustomCacheStore implements CacheStore { private String publishingCacheName; private String sourceCacheName; public CustomCacheStore(String sourceCacheStore, String publishingCacheName) { this.publishingCacheName = publishingCacheName; this.sourceCacheName = sourceCacheName; } @Override public Object load(Object key) { return null; } @Override public Map loadAll(Collection keyCollection) { return null; } @Override public void erase(Object key) { if (sourceCacheName != publishingCacheName) { CacheFactory.getCache(publishingCacheName).remove(key); CacheFactory.log("Erasing entry: " + key, CacheFactory.LOG_DEBUG); } } @Override public void eraseAll(Collection keyCollection) { if (sourceCacheName != publishingCacheName) { for (Object key : keyCollection) { CacheFactory.getCache(publishingCacheName).remove(key); CacheFactory.log("Erasing collection entry: " + key, CacheFactory.LOG_DEBUG); } } } @Override public void store(Object key, Object value) { if (sourceCacheName != publishingCacheName) { CacheFactory.getCache(publishingCacheName).put(key, value); CacheFactory.log("Storing entry (key=value): " + key + "=" + value, CacheFactory.LOG_DEBUG); } } @Override public void storeAll(Map entryMap) { if (sourceCacheName != publishingCacheName) { CacheFactory.getCache(publishingCacheName).putAll(entryMap); CacheFactory.log("Storing entries: " + entryMap, CacheFactory.LOG_DEBUG); } } }  As you can see each cache store operation on the data cache results in a similar operation on event cache. This is a very simple pattern which has a lot of additional possibilities, but it also has a few drawbacks you should be aware of: This event throttling implementation will use additional memory as a duplicate copy of entries held in the data cache need to be held in the events cache too - 2 if the event cache has backups A data cache may already use a cache store, so a "multiplexing cache store pattern" must also be used to send changes to the existing and throttling cache store.  If you would like to try out this throttling example you can download it here. I hope its useful and let me know if you spot any further optimizations.

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  • How do I handle 3rd party search result data (via cache)

    - by reikyoushin
    I have a search function on my site and it is taking data from 6 different 3rd party resources. The problem is, it takes too long requesting the data over and over again on the results page. I've read for questions like this on SO about session not being a good choice but for me 'memcache' is not an option, because the server doesn't have memcached installed and I have no way to install it now. Is there any other approach to do this? Storing in the database seem inappropriate because the data depends on the search terms requested. What I've been thinking is writing a file on the server that would act as a cache for this file but I don't know how I would know when to delete it after.

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  • add packages to squid-deb-proxy cache

    - by zpletan
    To save bandwidth and data on my Internet plan, I have installed squid-deb-proxy on a desktop, and the client on it and a few other machines I've got. However, based on the post that put me onto this , it sounds like if I take my laptop to a different network and update it there, the downloaded updates will NOT be automatically copied back to the squid-deb-proxy server when I get back on my network. Assuming that this is correct (I will be testing later), is there a way I can stick these packages into the cache so I don't have to download them one more time for other machines in the network?

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  • joomla sometimes messes up urls, probably cache involved

    - by Bakaburg
    Is a bit i'm having this problem and i really cannot get the hang of it... Every once in while my joomla site messes up links url and for example from something like this: http://www.sism.org/index.php?option=com_comprofiler&task=userslist&listid=4&Itemid=123 it becomes like this: http://www.sism.org/index.php/component/k2/administrator/components/com_dump/assets/css/images/stories/inrilievo/sism/htm/index.php?option=com_comprofiler&task=userslist&listid=4&Itemid=123 the new page has the right content but there are no css and other linked resources. Usually i solve the problem by deleting all the cache and turning it off and on again. Of course this is pretty annoying especially for my association. Does any one have any clue on this? Watching the URLs the components involved seems to be K2 and Jdump. Thanks

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  • Tell the kernel to strongly cache a particular directory

    - by silviot
    This question is a rephrasing of Optimizing EXT4 performance. I have a directory that contains build files, most very small, but totaling 5.6G. I usually access the same subset of files (some thousands, for some tens of megabytes) over and over again. The subset changes daily (different projects, different versions of libraries). What takes longer when I use it seem to be disk seeks. For example if I do a du twice the second time it takes as much time as the first, and disk activity is similar. Ideally I'd like to tell the kernel to allocate X Mb to the metadata and Y to data in the folder, like the options for nfs cache. Is it possible in some way, other than mounting nfs from localhost and caching it to a ramdisk?

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  • Open table cache in MySQL

    - by vvanscherpenseel
    I have my open table cache set to 1800 and I have a total of 1112 tables. MySQL Tuning Primer reports that 100% of my table cache is used yet my table cache hit rate is 5%. I understand that this happens due to concurrent connections all opening tables. I think I should raise the cache limit. I understand that the cache size is limited by the file descriptor limit of my operating system, but are there any other practical limitations I should be aware of? Searching Google or this very website yields mostly posts explaining the connection-factor or come up with indecisive answers. My question: can I safely increase the open table cache limit? Is there a maximum?

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  • Elastic versus Distributed in caching.

    - by Mike Reys
    Until now, I hadn't heard about Elastic Caching yet. Today I read Mike Gualtieri's Blog entry. I immediately thought about Oracle Coherence and got a little scare throughout the reading. Elastic Caching is the next step after Distributed Caching. As we've always positioned Coherence as a Distributed Cache, I thought for a brief instance that Oracle had missed a new trend/technology. But then I started reading the characteristics of an Elastic Cache. Forrester definition: Software infrastructure that provides application developers with data caching services that are distributed across two or more server nodes that consistently perform as volumes grow can be scaled without downtime provide a range of fault-tolerance levels Hey wait a minute, doesn't Coherence fullfill all these requirements? Oh yes, I think it does! The next defintion in the article is about Elastic Application Platforms. This is mainly more of the same with the addition of code execution. Now there is analytics functionality in Oracle Coherence. The analytics capability provides data-centric functions like distributed aggregation, searching and sorting. Coherence also provides continuous querying and event-handling. I think that when it comes to providing an Elastic Application Platform (as in the Forrester definition), Oracle is close, nearly there. And what's more, as Elastic Platform is the next big thing towards the big C word, Oracle Coherence makes you cloud-ready ;-) There you go! Find more info on Oracle Coherence here.

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  • How do I empty Drupal Cache (without Devel)

    - by alexanderpas
    Okay... Seems i can't find it with google... so here you go SO ;) How do i empty the drupal caches: without the Devel module without running some PHP Statement in a new node etc. without going into the database itself Effectively, how do you instruct a luser to clear his caches

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  • Buffer cache spillover: only buffers

    - by Liu Maclean(???)
    ?????? (?database open)????recovery?redo??,??????????????????: > Buffer cache spillover: only 32768 of 117227 buffers available$ ????crash recovery?redo apply??????buffer cache,??buffer cache???recovery buffer? ?????recovery buffer,????????age out????????redo change??????????? ????????????recovery(???crash recovery??instance recovery),?????buffer cache ??????????????(recovery)???? ??????(lock claim phase),?????????buffer cache ??spillover??????(???swap)??????????????????,oracle???????redo change???????????buffer cache????????recovery buffer????????,???????????????????? ?????????????(spillover recovery)??????????????(?????????,?????????redo apply),???????????? ??????,??crash recovery???? buffer cache??????????; ?????????, ?????????????buffer cache????????,?????????????????????????,?????????????????db_cache_size???????,??alter database open??????(Buffer cache spillover: only 32768 of 117227 buffers available$),?????????????????? ????????buffer cache spillover,?????????10???????????????,????????alert.log 30??????????,?????spillover???hang,?????????OTN Ask Maclean

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  • eAccelerator Issue - Cache Directory Empty.

    - by Tom
    Hi all, Hoping someone can give me a hand with this. I've recently installated eAccelerator 0.9.6.1 - On a CentOS LAMP server. Had it working fine, using the /tmp/accelerator as the cache directory. php.ini set up: zend_extension="/usr/local/lib/php/extensions/no-debug-non-zts-20060613/eaccelerator.so" eaccelerator.shm_size="200" eaccelerator.cache_dir="/var/cache/eaccelerator" eaccelerator.enable="1" eaccelerator.optimizer="1" eaccelerator.check_mtime="1" eaccelerator.debug="0" eaccelerator.filter="" eaccelerator.shm_max="0" eaccelerator.shm_ttl="3600" eaccelerator.shm_prune_period="180" eaccelerator.shm_only="1" eaccelerator.compress="1" eaccelerator.compress_level="9" php -v output: PHP 5.2.12 (cli) (built: Feb 3 2010 00:34:28) Copyright (c) 1997-2009 The PHP Group Zend Engine v2.2.0, Copyright (c) 1998-2009 Zend Technologies with eAccelerator v0.9.6.1, Copyright (c) 2004-2010 eAccelerator, by eAccelerator with the ionCube PHP Loader v3.3.20, Copyright (c) 2002-2010, by ionCube Ltd. I had to remove the cache directory as I was testing something. Remade it, re-set permissions and found that eAccelerator was no longer creating cache files within the folder. I thought it might be down to ownership rights on the folder so chown'd it apache.apache and this made no difference. I recreated the directory in /var/cache instead and editted php.ini to point to the new cache dir location, chmod'd, chown'd etc. and still eAccelerator is not creating any of the cache files in the directory (just empty). Could someone suggest what I might be doing incorrectly here. I've read through numerous pages to try and troubleshoot the issue to no avail. Any help appreciated.

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  • Cache Control Headers with IIS 7.5

    - by Brad
    I'm trying to wrap my head around client side (web browser) caching and how it works in relation to IIS 7.5 cache control headers. In particular: If we want to force clients to reload cached resources, how must IIS be configured? Do we need to set expire web content immediately if the resources on the server have a more recent Modified Date (or ETag value)? Right now we're not setting any cache headers. So if I set a cache header of no-cache (which I think is the equivalent of expire web content immediately) will that force the web browser to obtain a new version of a particular file. Or will the browser only request a new version after it deems its current copy to be stale and then from that point forward not cache it? Would a best practice be to set a cache control flag of 1 week, then 8 days before I know I am going to make a change set the cache control down to for instance 30 minutes? But if I do that and then need to immediately expire an item from users caches because there was an issue with it how do I do that?

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  • Invalid Opcode 0000

    - by Mr47
    At random times (usually when watching a movie in XBMC), the computer locks up. I can still sometimes SSH in and get the 'dmesg' output before that locks up too. A hard reboot is usually required to get things going again. I have cut out the date/time/server columns for easier reading, please do ask if these seem relevant omissions... System: Ubuntu 11.04 (2.6.38-8-server) x64 X11 installed with IceWm (and XBMC) Core 2 Duo E8400 @ 3.00GHz 8 GB RAM Asus P5Q premium motherboard Primary harddrive: OCZ Vertex 2 60 GB (SSD) Other harddrives: various 750GB, 1TB, 1.5TB & 2TB (WD & samsung) Any important information I am not supplying is purely a sign of my incompetence in these matters, so please do ask and excuse me for my inabilities... invalid opcode: 0000 [#1] SMP last sysfs file: /sys/devices/system/cpu/cpu1/cache/index2/shared_cpu_map CPU 0 Modules linked in: parport_pc ppdev vesafb snd_hda_codec_analog tuner_simple tuner_types wm8775 tda9887 tda8290 tea5767 tuner cx25840 ir_lirc_codec lirc_dev snd_hda_intel snd_hda_codec snd_hwdep snd_pcm ir_sony_decoder snd_seq_midi snd_rawmidi snd_seq_midi_event snd_seq rc_rc6_mce ivtv ir_jvc_decoder cx2341x i2c_algo_bit v4l2_common mceusb videodev ir_rc6_decoder ir_rc5_decoder snd_timer ir_nec_decoder nvidia(P) btusb bluetooth rc_core v4l2_compat_ioctl32 tveeprom snd_seq_device pata_marvell psmouse shpchp serio_raw snd asus_atk0110 soundcore snd_page_alloc lp parport firewire_ohci firewire_core crc_itu_t r8169 sky2 ahci libahci Pid: 4597, comm: xbmc.bin Tainted: P 2.6.38-8-server #42-Ubuntu System manufacturer P5Q Premium/P5Q Premium RIP: 0010:[<ffffffff8119bc4a>] [<ffffffff8119bc4a>] do_mpage_readpage+0x9a/0x510 RSP: 0018:ffff88021f5a59d8 EFLAGS: 00210246 RAX: 0000000000000020 RBX: ffff88021f5a5ac8 RCX: 0000000000000000 RDX: 0000000000000001 RSI: 0000000015e36fe0 RDI: 0000000000000000 RBP: ffff88021f5a5a98 R08: ffff88021f5a5ac8 R09: ffff88021f5a5b38 R10: 0000000000000000 R11: 0000000000000000 R12: 0000000000000000 R13: 000000000000b148 R14: 0000000000000001 R15: ffff8802067034b8 FS: 00007f3f34eb1700(0000) GS:ffff8800cfc00000(0000) knlGS:0000000000000000 CS: 0010 DS: 0000 ES: 0000 CR0: 0000000080050033 CR2: 00007feb8d515000 CR3: 000000021d744000 CR4: 00000000000406f0 DR0: 0000000000000000 DR1: 0000000000000000 DR2: 0000000000000000 DR3: 0000000000000000 DR6: 00000000ffff0ff0 DR7: 0000000000000400 Process xbmc.bin (pid: 4597, threadinfo ffff88021f5a4000, task ffff88021f63db80) Stack: ffff88021f5a5a28 ffffffff8116019d ffff88021f5a5b40 0000002000000003 ffff88021f5a5b38 ffff880206703370 ffffea0006d800f8 0000000000000000 ffffea0006d800f8 0000000c811270b5 ffff88021f5a5a68 ffffffff8110bdba Call Trace: [<ffffffff8116019d>] ? mem_cgroup_cache_charge+0xed/0x130 [<ffffffff8110bdba>] ? add_to_page_cache_locked+0xea/0x160 [<ffffffff8119c232>] mpage_readpages+0x102/0x150 [<ffffffff812063e0>] ? ext4_get_block+0x0/0x20 [<ffffffff812063e0>] ? ext4_get_block+0x0/0x20 [<ffffffff81149475>] ? alloc_pages_current+0xa5/0x110 [<ffffffff8120157d>] ext4_readpages+0x1d/0x20 [<ffffffff81116a9b>] __do_page_cache_readahead+0x14b/0x220 [<ffffffff81116ed1>] ra_submit+0x21/0x30 [<ffffffff81116ff5>] ondemand_readahead+0x115/0x230 [<ffffffff811171a0>] page_cache_async_readahead+0x90/0xc0 [<ffffffff8110b184>] ? file_read_actor+0xd4/0x170 [<ffffffff812de72e>] ? radix_tree_lookup_slot+0xe/0x10 [<ffffffff8110c521>] do_generic_file_read.clone.23+0x271/0x450 [<ffffffff8110d1ba>] generic_file_aio_read+0x1ca/0x240 [<ffffffff8100a82e>] ? __switch_to+0x20e/0x2f0 [<ffffffff81164c82>] do_sync_read+0xd2/0x110 [<ffffffff8108b61c>] ? hrtimer_try_to_cancel+0x4c/0xe0 [<ffffffff81279083>] ? security_file_permission+0x93/0xb0 [<ffffffff81164fa1>] ? rw_verify_area+0x61/0xf0 [<ffffffff81165463>] vfs_read+0xc3/0x180 [<ffffffff81165571>] sys_read+0x51/0x90 [<ffffffff8100bfc2>] system_call_fastpath+0x16/0x1b Code: ff ff 48 c7 85 78 ff ff ff 00 00 00 00 49 d3 ee b9 0c 00 00 00 2b 4d 8c 48 8b b2 c8 00 00 00 ba 01 00 00 00 41 0f af c6 49 d3 e5 <0f> 36 4d 8c 4c 01 e8 d3 e2 4c 8d 44 16 ff 48 8b 53 20 49 d3 f8 RIP [<ffffffff8119bc4a>] do_mpage_readpage+0x9a/0x510 RSP <ffff88021f5a59d8> ---[ end trace ac6cd2f4692205a3 ]--- Please note that the error is ALWAYS occuring at do_mpage_readpage+0x9a/0x510 with the same numbers after it. I've tried to come up with the possible meaning of these, but couldn't get any further. I've also noticed that the top block from the call trace is always the following with the exact same numbers: [<ffffffff8116019d>] ? mem_cgroup_cache_charge+0xed/0x130 [<ffffffff8110bdba>] ? add_to_page_cache_locked+0xea/0x160 [<ffffffff8119c232>] mpage_readpages+0x102/0x150 [<ffffffff812063e0>] ? ext4_get_block+0x0/0x20 [<ffffffff812063e0>] ? ext4_get_block+0x0/0x20 Could this indicate a hard drive issue, a RAM issue or something else entirely?

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  • What are the hard and fast rules for Cache Control?

    - by Metalshark
    Confession: sites I maintain have different rules for Cache Control mostly based on the default configuration of the server followed up with recommendations from the Page Speed & Y-Slow Firefox plug-ins and the Network Resources view in Google's Speed Tracer. Cache-Control is set to private/public depending on what they say to do, ETag's/Last-Modified headers are only tinkered with if Y-Slow suggests there is something wrong and Vary-Accept-Encoding seems necessary when manually gziping files for Amazon CloudFront. When reading through the material on the different options and what they do there seems to be conflicting information, rules for broken proxies and cargo cult configurations. Any of the official information provided by the analysis tools mentioned above is quite inaccessible as it deals with each topic individually instead of as a unified strategy (so there is no cross-referencing of techniques). For example, it seems to make no sense that the speed analysis tools rate a site with ETag's the same as a site without them if they are meant to help with caching. What are the hard and fast rules for a platform agnostic Cache Control strategy? EDIT: A link through Jeff Atwood's article explains Caching in superb depth. For the record though here are the hard and fast rules: If the file is Compressed using GZIP, etc - use "cache-control: private" as a proxy may return the compressed version to a client that does not support it (the browser cache will hold files marked this way though). Also remember to include a "Vary: Accept-Encoding" to say that it is compressible. Use Last-Modified in conjunction with ETag - belt and braces usage provides both validators, whilst ETag is based on file contents instead of modification time alone, using both covers all bases. NOTE: AOL's PageTest has a carte blanche approach against ETags for some reason. If you are using Apache on more than one server to host the same content then remove the implicitly declared inode from ETags by excluding it from the FileETag directive (i.e. "FileETag MTime Size") unless you are genuinely using the same live filesystem. Use "cache-control: public" wherever you can - this means that proxy servers (and the browser cache) will return your content even if the rest of the page needs HTTP authentication, etc.

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  • Enabling Hibernate second-level cache with JPA on JBoss 4.2

    - by Peter Hilton
    What are the steps required to enable Hibernate's second-level cache, when using the Java Persistence API (annotated entities)? How do I check that it's working? I'm using JBoss 4.2.2.GA. From the Hibernate documentation, it seems that I need to enable the cache and specify a cache provider in persistence.xml, like: <property name="hibernate.cache.use_second_level_cache" value="true" /> <property name="hibernate.cache.provider_class" value="org.hibernate.cache.HashtableCacheProvider" /> What else is required? Do I need to add @Cache annotations to my JPA entities? How can I tell if the cache is working? I have tried accessing cache statistics after running a Query, but Statistics.getSecondLevelCacheStatistics returns null, perhaps because I don't know what 'region' name to use.

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  • eAccelerator disk cache size

    - by Josh
    I am using eAccelerator to cache my PHP opcodes. I have the disk cache set to /var/cache/eAccelerator. How can I limit the size of the cache? It's already grown to 1.5 GiB and keeps growing!

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  • Building asynchronous cache pattern with JSP

    - by merweirdo
    I have a JSP that will take some 8 minutes to render. The code logic itself can not be made more efficient (it will update often and be updated by basically a pointy haired boss). I tried wrapping it with a caching layer like <%@ taglib uri="/WEB-INF/classes/oscache.tld" prefix="oscache" %> <oscache:cache time="60"> <div class="pagecontent"> ..... my logic </div> </oscache:cache> This is nice until the 60 seconds is over. The next query after that blocks until the 8 minutes of rendering is done with again. I would need a way to build a pattern something like: If there is no version of the dynamic content in the cache run the actual logic (and populate the cache for subsequent requests) If there is a non-expired version of the dynamic content in the cache serve the output of the JSP logic from the cache If there is an expired version of the dynamic content in the cache serve the output of the JSP logic still from the cache AND run the JSP logic in the background so that the cache gets updated transparently to the user - avoiding the user have to wait for 8 minutes I found out that at least EHCache might be able to do some asynchronous cache updating but it did not sadly seem to apply to the JSP tags... Also I have to take in 10-20 parameters for the actual logic of the JSP and some of them should be used as a key for caching. Code example and/or pointers would be greatly appreciated. I do not frankly care if the solution provided is extremely ugly. I just want a simple 5 minute caching with asynchronous cache update taking into account some parameters as a key.

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  • Differences when Running with OutputCache managed module under ASP.NET IIS7.x with Cache-control header

    - by Shawn Cicoria
    This post is to report some differences when using MVC or IHttpHandlers if you’re attempting to set the Cache-control : max-age or s-maxage value under IIS7.x using the HttpResponse.Cache methods. [UPDATE]: 2011-3-14 – The missing piece was calling  Response.Cache.SetSlidingExpiration(true) as follows: context.Response.Cache.SetCacheability(HttpCacheability.Public); context.Response.Cache.SetMaxAge(TimeSpan.FromMinutes(5)); context.Response.ContentType = "image/jpeg"; context.Response.Cache.SetSlidingExpiration(true);   Under IIS7.x if you us one of the following 2 methods, you will only get a Cache-ability of “public”.  public ActionResult Image2() { MemoryStream oStream = new MemoryStream(); using (Bitmap obmp = ImageUtil.RenderImage("Respone.Cache.Setxx calls", 5, DateTime.Now)) { obmp.Save(oStream, ImageFormat.Jpeg); oStream.Position = 0; Response.Cache.SetCacheability(HttpCacheability.Public); Response.Cache.SetMaxAge(TimeSpan.FromMinutes(5)); return new FileStreamResult(oStream, "image/jpeg"); } } Method 2 – which is just a plain old HttpHandler and really isn’t MVC3, but under the same MVC ASP.NET application, same result. public class image : IHttpHandler { public void ProcessRequest(HttpContext context) { using (var image = ImageUtil.RenderImage("called from IHttpHandler direct", 5, DateTime.Now)) { context.Response.Cache.SetCacheability(HttpCacheability.Public); context.Response.Cache.SetMaxAge(TimeSpan.FromMinutes(5)); context.Response.ContentType = "image/jpeg"; image.Save(context.Response.OutputStream, ImageFormat.Jpeg); } } } Using the following under MVC3 (I haven’t tried under earlier versions) will work by applying the OutputCacheAttribute to your Action: [OutputCache(Location = OutputCacheLocation.Any, Duration = 300)] public ActionResult Image1() { MemoryStream oStream = new MemoryStream(); using (Bitmap obmp = ImageUtil.RenderImage("called with OutputCacheAttribute", 5, DateTime.Now)) { obmp.Save(oStream, ImageFormat.Jpeg); oStream.Position = 0; return new FileStreamResult(oStream, "image/jpeg"); } } To remove the “OutputCache” module, you use the following in your web.config: <system.webServer> <validation validateIntegratedModeConfiguration="false"/> <modules runAllManagedModulesForAllRequests="true"> <!--<remove name="OutputCache"/>--> </modules>

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  • How to ignore query parameters in web cache?

    - by eduardocereto
    Google Analytics use some query parameters to identify campaigns and to do cookie control. This is all handled by javascript code. Take a look at the following example: http://www.example.com/?utm_source=newsletter&utm_medium=email&utm_ter m=October%2B2008&utm_campaign=promotion This will set cookies via JavaScript with the right campaign origin. This query parameters can have multiple and sometimes random values. Since they are used as cache hash keys the cache performance is heavily degraded in some scenarios. I suppose there's a not so hard configuration on cache servers to just ignore all query parameters or specific query parameters. Am I right? Does anyone know how hard is it in popular web cache solutions, to create ? I'm not interested in a specific web cache solution. It would be great to hear about the one you use.

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  • How to ignore query parameters in web cache?

    - by eduardocereto
    Google Analytics use some query parameters to identify campaigns and to do cookie control. This is all handled by javascript code. Take a look at the following example: http://www.example.com/?utm_source=newsletter&utm_medium=email&utm_ter m=October%2B2008&utm_campaign=promotion This will set cookies via JavaScript with the right campaign origin. This query parameters can have multiple and sometimes random values. Since they are used as cache hash keys the cache performance is heavily degraded in some scenarios. I suppose there's a not so hard configuration on cache servers to just ignore all query parameters or specific query parameters. Am I right? Does anyone know how hard is it in popular web cache solutions, to create ? I'm not interested in a specific web cache solution. It would be great to hear about the one you use.

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  • How to refresh Google Reader cache for a specific domain

    - by Renan
    Brief history domain.com was associated with a blogspot. domain.com changed to an institutional site and features a small code instructing which file should be retrieved by RSS readers. <link rel="alternate" type="application/rss+xml" href="http://domain.tumblr.com/rss" /> Google Reader didn't update the RSS to the new blog. domain.com/blog retrieves the posts correctly because it was never used for that purpose in the older blog. How is it possible to force Google Reader to update the cached information? I tried using another RSS reader and it worked perfectly with the new domain. However, when I tried to follow domain.com in another Google Reader account, it still showed the posts from the older blog. It's been almost a month that the aforementioned changes were made.

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  • Loosely coupled .NET Cache Provider using Dependency Injection

    - by Rhames
    I have recently been reading the excellent book “Dependency Injection in .NET”, written by Mark Seemann. I do not generally buy software development related books, as I never seem to have the time to read them, but I have found the time to read Mark’s book, and it was time well spent I think. Reading the ideas around Dependency Injection made me realise that the Cache Provider code I wrote about earlier (see http://geekswithblogs.net/Rhames/archive/2011/01/10/using-the-asp.net-cache-to-cache-data-in-a-model.aspx) could be refactored to use Dependency Injection, which should produce cleaner code. The goals are to: Separate the cache provider implementation (using the ASP.NET data cache) from the consumers (loose coupling). This will also mean that the dependency on System.Web for the cache provider does not ripple down into the layers where it is being consumed (such as the domain layer). Provide a decorator pattern to allow a consumer of the cache provider to be implemented separately from the base consumer (i.e. if we have a base repository, we can decorate this with a caching version). Although I used the term repository, in reality the cache consumer could be just about anything. Use constructor injection to provide the Dependency Injection, with a suitable DI container (I use Castle Windsor). The sample code for this post is available on github, https://github.com/RobinHames/CacheProvider.git ICacheProvider In the sample code, the key interface is ICacheProvider, which is in the domain layer. 1: using System; 2: using System.Collections.Generic; 3:   4: namespace CacheDiSample.Domain 5: { 6: public interface ICacheProvider<T> 7: { 8: T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); 9: IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); 10: } 11: }   This interface contains two methods to retrieve data from the cache, either as a single instance or as an IEnumerable. the second paramerter is of type Func<T>. This is the method used to retrieve data if nothing is found in the cache. The ASP.NET implementation of the ICacheProvider interface needs to live in a project that has a reference to system.web, typically this will be the root UI project, or it could be a separate project. The key thing is that the domain or data access layers do not need system.web references adding to them. In my sample MVC application, the CacheProvider is implemented in the UI project, in a folder called “CacheProviders”: 1: using System; 2: using System.Collections.Generic; 3: using System.Linq; 4: using System.Web; 5: using System.Web.Caching; 6: using CacheDiSample.Domain; 7:   8: namespace CacheDiSample.CacheProvider 9: { 10: public class CacheProvider<T> : ICacheProvider<T> 11: { 12: public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) 13: { 14: return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry); 15: } 16:   17: public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) 18: { 19: return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry); 20: } 21:   22: #region Helper Methods 23:   24: private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) 25: { 26: U value; 27: if (!TryGetValue<U>(key, out value)) 28: { 29: value = retrieveData(); 30: if (!absoluteExpiry.HasValue) 31: absoluteExpiry = Cache.NoAbsoluteExpiration; 32:   33: if (!relativeExpiry.HasValue) 34: relativeExpiry = Cache.NoSlidingExpiration; 35:   36: HttpContext.Current.Cache.Insert(key, value, null, absoluteExpiry.Value, relativeExpiry.Value); 37: } 38: return value; 39: } 40:   41: private bool TryGetValue<U>(string key, out U value) 42: { 43: object cachedValue = HttpContext.Current.Cache.Get(key); 44: if (cachedValue == null) 45: { 46: value = default(U); 47: return false; 48: } 49: else 50: { 51: try 52: { 53: value = (U)cachedValue; 54: return true; 55: } 56: catch 57: { 58: value = default(U); 59: return false; 60: } 61: } 62: } 63:   64: #endregion 65:   66: } 67: }   The FetchAndCache helper method checks if the specified cache key exists, if it does not, the Func<U> retrieveData method is called, and the results are added to the cache. Using Castle Windsor to register the cache provider In the MVC UI project (my application root), Castle Windsor is used to register the CacheProvider implementation, using a Windsor Installer: 1: using Castle.MicroKernel.Registration; 2: using Castle.MicroKernel.SubSystems.Configuration; 3: using Castle.Windsor; 4:   5: using CacheDiSample.Domain; 6: using CacheDiSample.CacheProvider; 7:   8: namespace CacheDiSample.WindsorInstallers 9: { 10: public class CacheInstaller : IWindsorInstaller 11: { 12: public void Install(IWindsorContainer container, IConfigurationStore store) 13: { 14: container.Register( 15: Component.For(typeof(ICacheProvider<>)) 16: .ImplementedBy(typeof(CacheProvider<>)) 17: .LifestyleTransient()); 18: } 19: } 20: }   Note that the cache provider is registered as a open generic type. Consuming a Repository I have an existing couple of repository interfaces defined in my domain layer: IRepository.cs 1: using System; 2: using System.Collections.Generic; 3:   4: using CacheDiSample.Domain.Model; 5:   6: namespace CacheDiSample.Domain.Repositories 7: { 8: public interface IRepository<T> 9: where T : EntityBase 10: { 11: T GetById(int id); 12: IList<T> GetAll(); 13: } 14: }   IBlogRepository.cs 1: using System; 2: using CacheDiSample.Domain.Model; 3:   4: namespace CacheDiSample.Domain.Repositories 5: { 6: public interface IBlogRepository : IRepository<Blog> 7: { 8: Blog GetByName(string name); 9: } 10: }   These two repositories are implemented in the DataAccess layer, using Entity Framework to retrieve data (this is not important though). One important point is that in the BaseRepository implementation of IRepository, the methods are virtual. This will allow the decorator to override them. The BlogRepository is registered in a RepositoriesInstaller, again in the MVC UI project. 1: using Castle.MicroKernel.Registration; 2: using Castle.MicroKernel.SubSystems.Configuration; 3: using Castle.Windsor; 4:   5: using CacheDiSample.Domain.CacheDecorators; 6: using CacheDiSample.Domain.Repositories; 7: using CacheDiSample.DataAccess; 8:   9: namespace CacheDiSample.WindsorInstallers 10: { 11: public class RepositoriesInstaller : IWindsorInstaller 12: { 13: public void Install(IWindsorContainer container, IConfigurationStore store) 14: { 15: container.Register(Component.For<IBlogRepository>() 16: .ImplementedBy<BlogRepository>() 17: .LifestyleTransient() 18: .DependsOn(new 19: { 20: nameOrConnectionString = "BloggingContext" 21: })); 22: } 23: } 24: }   Now I can inject a dependency on the IBlogRepository into a consumer, such as a controller in my sample code: 1: using System; 2: using System.Collections.Generic; 3: using System.Linq; 4: using System.Web; 5: using System.Web.Mvc; 6:   7: using CacheDiSample.Domain.Repositories; 8: using CacheDiSample.Domain.Model; 9:   10: namespace CacheDiSample.Controllers 11: { 12: public class HomeController : Controller 13: { 14: private readonly IBlogRepository blogRepository; 15:   16: public HomeController(IBlogRepository blogRepository) 17: { 18: if (blogRepository == null) 19: throw new ArgumentNullException("blogRepository"); 20:   21: this.blogRepository = blogRepository; 22: } 23:   24: public ActionResult Index() 25: { 26: ViewBag.Message = "Welcome to ASP.NET MVC!"; 27:   28: var blogs = blogRepository.GetAll(); 29:   30: return View(new Models.HomeModel { Blogs = blogs }); 31: } 32:   33: public ActionResult About() 34: { 35: return View(); 36: } 37: } 38: }   Consuming the Cache Provider via a Decorator I used a Decorator pattern to consume the cache provider, this means my repositories follow the open/closed principle, as they do not require any modifications to implement the caching. It also means that my controllers do not have any knowledge of the caching taking place, as the DI container will simply inject the decorator instead of the root implementation of the repository. The first step is to implement a BlogRepository decorator, with the caching logic in it. Note that this can reside in the domain layer, as it does not require any knowledge of the data access methods. BlogRepositoryWithCaching.cs 1: using System; 2: using System.Collections.Generic; 3: using System.Linq; 4: using System.Text; 5:   6: using CacheDiSample.Domain.Model; 7: using CacheDiSample.Domain; 8: using CacheDiSample.Domain.Repositories; 9:   10: namespace CacheDiSample.Domain.CacheDecorators 11: { 12: public class BlogRepositoryWithCaching : IBlogRepository 13: { 14: // The generic cache provider, injected by DI 15: private ICacheProvider<Blog> cacheProvider; 16: // The decorated blog repository, injected by DI 17: private IBlogRepository parentBlogRepository; 18:   19: public BlogRepositoryWithCaching(IBlogRepository parentBlogRepository, ICacheProvider<Blog> cacheProvider) 20: { 21: if (parentBlogRepository == null) 22: throw new ArgumentNullException("parentBlogRepository"); 23:   24: this.parentBlogRepository = parentBlogRepository; 25:   26: if (cacheProvider == null) 27: throw new ArgumentNullException("cacheProvider"); 28:   29: this.cacheProvider = cacheProvider; 30: } 31:   32: public Blog GetByName(string name) 33: { 34: string key = string.Format("CacheDiSample.DataAccess.GetByName.{0}", name); 35: // hard code 5 minute expiry! 36: TimeSpan relativeCacheExpiry = new TimeSpan(0, 5, 0); 37: return cacheProvider.Fetch(key, () => 38: { 39: return parentBlogRepository.GetByName(name); 40: }, 41: null, relativeCacheExpiry); 42: } 43:   44: public Blog GetById(int id) 45: { 46: string key = string.Format("CacheDiSample.DataAccess.GetById.{0}", id); 47:   48: // hard code 5 minute expiry! 49: TimeSpan relativeCacheExpiry = new TimeSpan(0, 5, 0); 50: return cacheProvider.Fetch(key, () => 51: { 52: return parentBlogRepository.GetById(id); 53: }, 54: null, relativeCacheExpiry); 55: } 56:   57: public IList<Blog> GetAll() 58: { 59: string key = string.Format("CacheDiSample.DataAccess.GetAll"); 60:   61: // hard code 5 minute expiry! 62: TimeSpan relativeCacheExpiry = new TimeSpan(0, 5, 0); 63: return cacheProvider.Fetch(key, () => 64: { 65: return parentBlogRepository.GetAll(); 66: }, 67: null, relativeCacheExpiry) 68: .ToList(); 69: } 70: } 71: }   The key things in this caching repository are: I inject into the repository the ICacheProvider<Blog> implementation, via the constructor. This will make the cache provider functionality available to the repository. I inject the parent IBlogRepository implementation (which has the actual data access code), via the constructor. This will allow the methods implemented in the parent to be called if nothing is found in the cache. I override each of the methods implemented in the repository, including those implemented in the generic BaseRepository. Each override of these methods follows the same pattern. It makes a call to the CacheProvider.Fetch method, and passes in the parentBlogRepository implementation of the method as the retrieval method, to be used if nothing is present in the cache. Configuring the Caching Repository in the DI Container The final piece of the jigsaw is to tell Castle Windsor to use the BlogRepositoryWithCaching implementation of IBlogRepository, but to inject the actual Data Access implementation into this decorator. This is easily achieved by modifying the RepositoriesInstaller to use Windsor’s implicit decorator wiring: 1: using Castle.MicroKernel.Registration; 2: using Castle.MicroKernel.SubSystems.Configuration; 3: using Castle.Windsor; 4:   5: using CacheDiSample.Domain.CacheDecorators; 6: using CacheDiSample.Domain.Repositories; 7: using CacheDiSample.DataAccess; 8:   9: namespace CacheDiSample.WindsorInstallers 10: { 11: public class RepositoriesInstaller : IWindsorInstaller 12: { 13: public void Install(IWindsorContainer container, IConfigurationStore store) 14: { 15:   16: // Use Castle Windsor implicit wiring for the block repository decorator 17: // Register the outermost decorator first 18: container.Register(Component.For<IBlogRepository>() 19: .ImplementedBy<BlogRepositoryWithCaching>() 20: .LifestyleTransient()); 21: // Next register the IBlogRepository inmplementation to inject into the outer decorator 22: container.Register(Component.For<IBlogRepository>() 23: .ImplementedBy<BlogRepository>() 24: .LifestyleTransient() 25: .DependsOn(new 26: { 27: nameOrConnectionString = "BloggingContext" 28: })); 29: } 30: } 31: }   This is all that is needed. Now if the consumer of the repository makes a call to the repositories method, it will be routed via the caching mechanism. You can test this by stepping through the code, and seeing that the DataAccess.BlogRepository code is only called if there is no data in the cache, or this has expired. The next step is to add the SQL Cache Dependency support into this pattern, this will be a future post.

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