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  • Inside the DLR – Invoking methods

    - by Simon Cooper
    So, we’ve looked at how a dynamic call is represented in a compiled assembly, and how the dynamic lookup is performed at runtime. The last piece of the puzzle is how the resolved method gets invoked, and that is the subject of this post. Invoking methods As discussed in my previous posts, doing a full lookup and bind at runtime each and every single time the callsite gets invoked would be far too slow to be usable. The results obtained from the callsite binder must to be cached, along with a series of conditions to determine whether the cached result can be reused. So, firstly, how are the conditions represented? These conditions can be anything; they are determined entirely by the semantics of the language the binder is representing. The binder has to be able to return arbitary code that is then executed to determine whether the conditions apply or not. Fortunately, .NET 4 has a neat way of representing arbitary code that can be easily combined with other code – expression trees. All the callsite binder has to return is an expression (called a ‘restriction’) that evaluates to a boolean, returning true when the restriction passes (indicating the corresponding method invocation can be used) and false when it does’t. If the bind result is also represented in an expression tree, these can be combined easily like so: if ([restriction is true]) { [invoke cached method] } Take my example from my previous post: public class ClassA { public static void TestDynamic() { CallDynamic(new ClassA(), 10); CallDynamic(new ClassA(), "foo"); } public static void CallDynamic(dynamic d, object o) { d.Method(o); } public void Method(int i) {} public void Method(string s) {} } When the Method(int) method is first bound, along with an expression representing the result of the bind lookup, the C# binder will return the restrictions under which that bind can be reused. In this case, it can be reused if the types of the parameters are the same: if (thisArg.GetType() == typeof(ClassA) && arg1.GetType() == typeof(int)) { thisClassA.Method(i); } Caching callsite results So, now, it’s up to the callsite to link these expressions returned from the binder together in such a way that it can determine which one from the many it has cached it should use. This caching logic is all located in the System.Dynamic.UpdateDelegates class. It’ll help if you’ve got this type open in a decompiler to have a look yourself. For each callsite, there are 3 layers of caching involved: The last method invoked on the callsite. All methods that have ever been invoked on the callsite. All methods that have ever been invoked on any callsite of the same type. We’ll cover each of these layers in order Level 1 cache: the last method called on the callsite When a CallSite<T> object is first instantiated, the Target delegate field (containing the delegate that is called when the callsite is invoked) is set to one of the UpdateAndExecute generic methods in UpdateDelegates, corresponding to the number of parameters to the callsite, and the existance of any return value. These methods contain most of the caching, invoke, and binding logic for the callsite. The first time this method is invoked, the UpdateAndExecute method finds there aren’t any entries in the caches to reuse, and invokes the binder to resolve a new method. Once the callsite has the result from the binder, along with any restrictions, it stitches some extra expressions in, and replaces the Target field in the callsite with a compiled expression tree similar to this (in this example I’m assuming there’s no return value): if ([restriction is true]) { [invoke cached method] return; } if (callSite._match) { _match = false; return; } else { UpdateAndExecute(callSite, arg0, arg1, ...); } Woah. What’s going on here? Well, this resulting expression tree is actually the first level of caching. The Target field in the callsite, which contains the delegate to call when the callsite is invoked, is set to the above code compiled from the expression tree into IL, and then into native code by the JIT. This code checks whether the restrictions of the last method that was invoked on the callsite (the ‘primary’ method) match, and if so, executes that method straight away. This means that, the next time the callsite is invoked, the first code that executes is the restriction check, executing as native code! This makes this restriction check on the primary cached delegate very fast. But what if the restrictions don’t match? In that case, the second part of the stitched expression tree is executed. What this section should be doing is calling back into the UpdateAndExecute method again to resolve a new method. But it’s slightly more complicated than that. To understand why, we need to understand the second and third level caches. Level 2 cache: all methods that have ever been invoked on the callsite When a binder has returned the result of a lookup, as well as updating the Target field with a compiled expression tree, stitched together as above, the callsite puts the same compiled expression tree in an internal list of delegates, called the rules list. This list acts as the level 2 cache. Why use the same delegate? Stitching together expression trees is an expensive operation. You don’t want to do it every time the callsite is invoked. Ideally, you would create one expression tree from the binder’s result, compile it, and then use the resulting delegate everywhere in the callsite. But, if the same delegate is used to invoke the callsite in the first place, and in the caches, that means each delegate needs two modes of operation. An ‘invoke’ mode, for when the delegate is set as the value of the Target field, and a ‘match’ mode, used when UpdateAndExecute is searching for a method in the callsite’s cache. Only in the invoke mode would the delegate call back into UpdateAndExecute. In match mode, it would simply return without doing anything. This mode is controlled by the _match field in CallSite<T>. The first time the callsite is invoked, _match is false, and so the Target delegate is called in invoke mode. Then, if the initial restriction check fails, the Target delegate calls back into UpdateAndExecute. This method sets _match to true, then calls all the cached delegates in the rules list in match mode to try and find one that passes its restrictions, and invokes it. However, there needs to be some way for each cached delegate to inform UpdateAndExecute whether it passed its restrictions or not. To do this, as you can see above, it simply re-uses _match, and sets it to false if it did not pass the restrictions. This allows the code within each UpdateAndExecute method to check for cache matches like so: foreach (T cachedDelegate in Rules) { callSite._match = true; cachedDelegate(); // sets _match to false if restrictions do not pass if (callSite._match) { // passed restrictions, and the cached method was invoked // set this delegate as the primary target to invoke next time callSite.Target = cachedDelegate; return; } // no luck, try the next one... } Level 3 cache: all methods that have ever been invoked on any callsite with the same signature The reason for this cache should be clear – if a method has been invoked through a callsite in one place, then it is likely to be invoked on other callsites in the codebase with the same signature. Rather than living in the callsite, the ‘global’ cache for callsite delegates lives in the CallSiteBinder class, in the Cache field. This is a dictionary, typed on the callsite delegate signature, providing a RuleCache<T> instance for each delegate signature. This is accessed in the same way as the level 2 callsite cache, by the UpdateAndExecute methods. When a method is matched in the global cache, it is copied into the callsite and Target cache before being executed. Putting it all together So, how does this all fit together? Like so (I’ve omitted some implementation & performance details): That, in essence, is how the DLR performs its dynamic calls nearly as fast as statically compiled IL code. Extensive use of expression trees, compiled to IL and then into native code. Multiple levels of caching, the first of which executes immediately when the dynamic callsite is invoked. And a clever re-use of compiled expression trees that can be used in completely different contexts without being recompiled. All in all, a very fast and very clever reflection caching mechanism.

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  • How to cache authentication in Linux using PAM/Kerberos authentication (for CVS)?

    - by Calonthar
    We have several Linux servers that authenticate Linux user passwords on our Windows Active Directory Server using PAM and Kerberos 5. The Linux distro we use is CentOS 6. On one system, we have several Version Control Systems like CVS and Subversion, both of which authenticate users throug PAM, such that users can use their normal Unix resp. Windows AD accounts. Since we started using Kerberos for password authentication, we experienced that CVS on a client machine is often much slower in establishing a connection. CVS authenticates the user on every request (eg. cvs diff, log, update...). Is is possible to cache the credentials that kerberos uses, sucht that is does not need to ask the Windows AD server every time a user executes a cvs action? Our PAM config /etc/pam.d/system-auth looks like the following: auth required pam_env.so auth sufficient pam_unix.so nullok try_first_pass auth requisite pam_succeed_if.so uid >= 500 quiet auth sufficient pam_krb5.so use_first_pass auth required pam_deny.so account required pam_unix.so broken_shadow account sufficient pam_succeed_if.so uid < 500 quiet account [default=bad success=ok user_unknown=ignore] pam_krb5.so account required pam_permit.so password requisite pam_cracklib.so try_first_pass retry=3 password sufficient pam_unix.so md5 shadow nullok try_first_pass use_authtok password sufficient pam_krb5.so use_authtok password required pam_deny.so session optional pam_keyinit.so revoke session required pam_limits.so session [success=1 default=ignore] pam_succeed_if.so service in crond quiet use_uid session required pam_unix.so session optional pam_krb5.so

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  • Strange issue ! Local network cache of PHP and Apache2 on Win Server 2008 R2

    - by Ahmed Benlahsen
    Software configuration : I have a new Server with windows server 2008 R2 installed via VMWare. I have installed Apache2.2, PHP5.2 and MySQL5.5 as separated packages. Issue : On my first installation of my application all works great. When I updated some JS and CSS files then I access to my application again from a PC on local network I get the old JS and CSS versions! But when I access to the same application on local server I got the latest versions of those files! Link of my application on local server is : http://localhost/BADIL Link of my application from local network is : http://LOCAL_SERVER_IP/BADIL I never had this kind of issue! I think that there are some cache but I don't know where! Maybe on Win Server 2008 R2 or on VMWare ! The question is : Why when I access to my application on the server all works fine, but when I access to the same application from a local network I have the old version of JS and CSS files?? Any one can help me please?! Regards.

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  • How do I get yum to see updates to a local repo without cleaning cache?

    - by Matt
    I have set up a local yum repository which I use to install test builds. For the testing purposes, my packages are versioned by <svn version number>.<date>.<time> (e.g. 12345.20110908.150404 The trouble is, once I make a new RPM, copy it to the repository directory and run createrepo $REPO_DIR, yum does not see the new RPM as being available. $ cd $REPO_DIR $ ls -1 repodata package-12345.20110908.150404-1.x86_64.rpm package-12345.20110908.174329-1.x86_64.rpm $ createrepo . # ...snip... $ rpm -q package package-12345.20110908.150404-1.x86_64 $ yum list --showduplicates package Installed Packages package.x86_64 12345.20110908.150404-1 @repo Available Packages package.x86_64 12345.20110908.150404-1 repo I can see the updates and grab them if I run yum clean all and then re-fetch the metadata, but I think this just means I need to be doing something else from the repo, as I don't have to do that for other yum repos. How do I need to set up my local repository so that I only need to run yum update from the client without having to clean my yum cache?

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  • Non-volatile cache RAID controllers: what kind of protection is there against NVCACHE failure?

    - by astrostl
    The battery back-up (BBU) model: admin enables write-back cache with BBU writes are cached to the RAID controller's RAM (major performance benefit) the battery saves uncommitted and cached data in the event of a power loss (reliability) If I lose power and come back within a day or so, my data should be both complete and uncorrupted. The downside to this is that, if the battery is dead or low, OR EVEN IF IT IS IN A RELEARN CYCLE (drain/charge loops to ensure the battery's health), the controller reverts to write-through mode and performance will suffer. What's more, the relearn cycles are usually automated on a schedule which may or may not happen in the middle of big traffic. So, that has to be manually disabled and manually scheduled for off-hours if it's a concern. Annoying either way. NV caches have capacitors with a sufficient charge to commit any uncommitted-to-disk data to flash. Not only is that more survivable in longer loss situations, but you don't have to concern yourself with battery death, wear-out, or relearning. All of that sounds great to me. What doesn't sound great to me is the prospect of that flash module having an issue, though. What if it's completely hosed? What if it's only partially hosed? A bit corrupted at the edges? Relearn cycles can tell when something like a simple battery is failing, but is there a similar process to verify that the flash is functional? I'm just far more trusting of a battery, warts and all. I know the card's RAM can fail, the card itself can fail - that's common territory, though. In case you didn't guess, yeah, I've experienced a shocking-to-me amount of flash/SSD/etc. failure :)

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  • IFS Achieves Oracle Exadata Optimized and Oracle Exalogic Optimized Status

    - by Javier Puerta
    IFS, the global enterprise applications company, announces that it has earned Oracle Exadata Optimized and Oracle Exalogic Optimized status through Oracle PartnerNetwork (OPN), demonstrating that IFS Applications Release 8 has been tested and tuned on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud to deliver speed, scalability and reliability to customers. By combining IFS Applications with the Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud, IFS customers will be able to leverage benefits such as faster time to implementation, increased performance, as well as reduced energy and hardware footprint. IFS is a Platinum level member in Oracle PartnerNetwork. Initial test results showed that IFS Applications Release 8 material resource planning (MRP) batch jobs achieved a 2.5x performance improvement and a 2.2x increase in user transactions on Oracle Exadata Database Machine and Oracle Exalogic Elastic Cloud. Additionally, IFS Applications 8 achieved a 37x higher compression ratio, resulting in significantly shorter time for daily backup routines and lowering storage costs. Read full press release here

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  • New Whitepaper: Deploying E-Business Suite on Exadata and Exalogic

    - by Elke Phelps (Oracle Development)
    Our E-Business Suite Performance Team recently published a new whitepaper to assist you with deploying E-Business Suite on the Oracle Exalogic Elastic Cloud and Oracle Exadata Database Machine , also referred to as Exastack.  If you are considering a migration to Exastack, this new whitepaper will assist you understanding sizing requirements, deployment standards and migration strategies: Deploying Oracle E-Business Suite on Oracle Exalogic Elastic Cloud and Oracle Exadata Database Machine (Note 1460742.1) This whitepaper covers the following topics: Scalability and Sizing Examples - provides performance benchmark analysis with concurrent user counts, scaling analysis and sizing recommendations Deployment Standards - includes recommendations for deploying the various components of the E-Business Suite architecture on Exastack Migration Standards and Guidelines - includes an overview of methods for migrating from commodity hardware to Exastack References Our Maximum Availability Architecture (MAA) team has a number of whitepapers that provide additional information regarding Oracle E-Business Suite on the Oracle Exadata Database Machine.  Their library of whitepapers may be found here: MAA Best Practices - Oracle Applications Unlimited  Related Articles Running E-Business Suite on Exadata V2 Running Oracle E-Business Suite on Exalogic Elastic Cloud

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  • Manually filling opcode cache for entire app using apc_compile_file, then switching to new release.

    - by Ben
    Does anyone have a great system, or any ideas, for doing as the title says? I want to switch production version of web app-- written in PHP and served by Apache-- from release 1234 to release 1235, but before that happens, have all files already in the opcode cache (APC). Then after the switch, remove the old cache entries for files from release 1234. As far as I can think of there are three easy ways of atomically switching from one version to the next. Have a symbolic link, for example /live, that is always the document root but is changed to point from one version to the next. Similarly, have a directory /live that is always the document root, but use mv live oldversion && mv newversion live to switch to new version. Edit apache configuration to change the document root to newversion, then restart apache. I think it is preferable not to have to do 3, but I can't think of anyway to precompile all php files AND use 1 or 2 to switch release. So can someone either convince me its okay to rely on option 3, or tell me how to work with 1 or 2, or reveal some other option I am not thinking of?

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  • Does IE completely ignore cache control headers for AJAX requests?

    - by Joshua Hayworth
    Hello there, I've got, what I would consider, a simple test web site. A single page with a single button. Here is a copy of the source I'm working with if you would like to download it and play with it. When that button is clicked, it creates a JavaScript timer that executes once a second. When the timer function is executed, An AJAX call is made to retrieve a text value. That text value is then placed into the DOM. What's my problem? IE Caching. Crack open Task Manager and watch what happens to the iexplorer.exe process (IE 8.0.7600.16385 for me) while the timer in that page is executing. See the memory and handle count getting larger? Why is that happening when, by all accounts, I have caching turned off. I've got the jQuery cache option set to false in $.ajaxSetup. I've got the CacheControl header set to no-cache and no-store. The Expires header is set to DateTime.Now.AddDays(-1). The headers are set in both the page code-behind as well as the HTTP Handler's response. Anybody got any ideas as to how I could prevent IE from caching the results of the AJAX call? Here is what the iexplorer.exe process looks like in ProcessMonitor. I believe that the activity shown in this picture is exactly what I'm attempting to prevent.

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  • Squid proxy not serving modified html content

    - by Matthew
    I'm trying to use squid to modify the page content of web page requests. I followed the upside-down-ternet tutorial which showed instructions for how to flip images on pages. I need to change the actual html of the page. I've been trying to do the same thing as in the tutorial, but instead of editing the image I'm trying to edit the html page. Below is a php script I'm using to try to do it. All jpg images get flipped, but the content on the page does not get edited. The edited index.html files written contain the edited content, but the pages the users receive don't contain the edited content. #!/usr/bin/php <?php $temp = array(); while ( $input = fgets(STDIN) ) { $micro_time = microtime(); // Split the output (space delimited) from squid into an array. $temp = split(' ', $input); //Flip jpg images, this works correctly if (preg_match("/.*\.jpg/i", $temp[0])) { system("/usr/bin/wget -q -O /var/www/cache/$micro_time.jpg ". $temp[0]); system("/usr/bin/mogrify -flip /var/www/cache/$micro_time.jpg"); echo "http://127.0.0.1/cache/$micro_time.jpg\n"; } //Don't edit files that are obviously not html. $temp[0] contains url of file to get elseif (preg_match("/(jpg|png|gif|css|js|\(|\))/i", $temp[0], $matches)) { echo $input; } //Otherwise, could be html (e.g. `wget http://www.google.com` downloads index.html) else{ $time = time() . microtime(); //For unique directory names $time = preg_replace("/ /", "", $time); //Simplify things by removing the spaces mkdir("/var/www/cache/". $time); //Create unique folder system("/usr/bin/wget -q --directory-prefix=\"/var/www/cache/$time/\" ". $temp[0]); $filename = system("ls /var/www/cache/$time/"); //Get filename of downloaded file //File is html, edit the content (this does not work) if(preg_match("/.*\.html/", $filename)){ //Get the html file contents $contentfh = fopen("/var/www/cache/$time/". $filename, 'r'); $content = fread($contentfh, filesize("/var/www/cache/$time/". $filename)); fclose($contentfh); //Edit the html file contents $content = preg_replace("/<\/body>/i", "<!-- content served by proxy --></body>", $content); //Write the edited file $contentfh = fopen("/var/www/cache/$time/". $filename, 'w'); fwrite($contentfh, $content); fclose($contentfh); //Return the edited page echo "http://127.0.0.1/cache/$time/$filename\n"; } //Otherwise file is not html, don't edit else{ echo $input; } } } ?>

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  • systemstate dump ??

    - by JaneZhang(???)
            ???????????????hang????,????????systemstate dump?????????,?????,????????,???????????????,????systemstate dump?????????????       ??????,????????systemstate dump, ?????“WAITED TOO LONG FOR A ROW CACHE ENQUEUE LOCK”?        systemstate dump???????????,??????:??????,???????,????dump????????,???????M????)1. ?sysdba???????:$sqlplus / as sysdba??$sqlplus -prelim / as sysdba <==??????????hang?????SQL>oradebug setmypidSQL>oradebug unlimit;SQL>oradebug dump systemstate 266;?1~2??SQL>oradebug dump systemstate 266;?1~2??SQL>oradebug dump systemstate 266;SQL>oradebug tracefile_name;==>????????2. ????systemstate dump,??????hang analyze??????????????????$sqlplus / as sysdba??$sqlplus -prelim / as sysdba <==??????????hang?????SQL>oradebug setmypidSQL>oradebug unlimit;SQL>oradebug dump hanganalyze 3?1~2??SQL>oradebug dump hanganalyze 3?1~2??SQL>oradebug dump hanganalyze 3SQL>oradebug tracefile_name;==>??????????RAC???,????????????systemstate dump,???????????(?????????):$sqlplus / as sysdba??$sqlplus -prelim / as sysdba <==??????????hang?????SQL>oradebug setmypidSQL>oradebug unlimitSQL>oradebug -g all dump systemstate 266  <==-g all ??????????dump?1~2??SQL>oradebug -g all dump systemstate 266?1~2??SQL>oradebug -g all dump systemstate 266?RAC???hang analyze:SQL>oradebug setmypidSQL>oradebug unlimitSQL>oradebug -g all hanganalyze 3?1~2??SQL>oradebug -g all hanganalyze 3?1~2??SQL>oradebug -g all hanganalyze 3?????????????????systemstate dump,?????????????backgroud_dump_dest??diag trace???????????????????????????,?????hang?,?????systemstate dump?????:10:   dump11:   dump + global cache of RAC256: short stack (????)258: dump(???lock element) + short stack (????)266: 256+10 -->short stack+ dump267: 256+11 -->short stack+ dump + global cache of RAClevel 11? 267? dump global cache, ??????trace ??,??????????????,????????,???266,??????dump?????????,????????????????????short stack????,???????,??2000???,??????30??????????,????level 10 ?? level 258, level 258 ? level 10????short short stack, ??level 10?????lock element data.?????systemstate dump???,??????level?????:??????37???:-rw-r----- 1 oracle oinstall    72721 Aug 31 21:50 rac10g2_ora_31092.trc==>256 (short stack, ????2K)-rw-r----- 1 oracle oinstall  2724863 Aug 31 21:52 rac10g2_ora_31654.trc==>10    (dump,????72K )-rw-r----- 1 oracle oinstall  2731935 Aug 31 21:53 rac10g2_ora_32214.trc==>266 (dump + short stack ,????72K)RAC:-rw-r----- 1 oracle oinstall 55873057 Aug 31 21:49 rac10g2_ora_30658.trc ==>11   (dump+global cache,????1.4M)-rw-r----- 1 oracle oinstall 55879249 Aug 31 21:48 rac10g2_ora_28615.trc ==>267 (dump+global cache+short stack,????1.4M) ??,??????dump global cache(level 11?267,???????????????)??????????,?????????systemstate dump ??

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  • Caching factory design

    - by max
    I have a factory class XFactory that creates objects of class X. Instances of X are very large, so the main purpose of the factory is to cache them, as transparently to the client code as possible. Objects of class X are immutable, so the following code seems reasonable: # module xfactory.py import x class XFactory: _registry = {} def get_x(self, arg1, arg2, use_cache = True): if use_cache: hash_id = hash((arg1, arg2)) if hash_id in _registry: return _registry[hash_id] obj = x.X(arg1, arg2) _registry[hash_id] = obj return obj # module x.py class X: # ... Is it a good pattern? (I know it's not the actual Factory Pattern.) Is there anything I should change? Now, I find that sometimes I want to cache X objects to disk. I'll use pickle for that purpose, and store as values in the _registry the filenames of the pickled objects instead of references to the objects. Of course, _registry itself would have to be stored persistently (perhaps in a pickle file of its own, in a text file, in a database, or simply by giving pickle files the filenames that contain hash_id). Except now the validity of the cached object depends not only on the parameters passed to get_x(), but also on the version of the code that created these objects. Strictly speaking, even a memory-cached object could become invalid if someone modifies x.py or any of its dependencies, and reloads it while the program is running. So far I ignored this danger since it seems unlikely for my application. But I certainly cannot ignore it when my objects are cached to persistent storage. What can I do? I suppose I could make the hash_id more robust by calculating hash of a tuple that contains arguments arg1 and arg2, as well as the filename and last modified date for x.py and every module and data file that it (recursively) depends on. To help delete cache files that won't ever be useful again, I'd add to the _registry the unhashed representation of the modified dates for each record. But even this solution isn't 100% safe since theoretically someone might load a module dynamically, and I wouldn't know about it from statically analyzing the source code. If I go all out and assume every file in the project is a dependency, the mechanism will still break if some module grabs data from an external website, etc.). In addition, the frequency of changes in x.py and its dependencies is quite high, leading to heavy cache invalidation. Thus, I figured I might as well give up some safety, and only invalidate the cache only when there is an obvious mismatch. This means that class X would have a class-level cache validation identifier that should be changed whenever the developer believes a change happened that should invalidate the cache. (With multiple developers, a separate invalidation identifier is required for each.) This identifier is hashed along with arg1 and arg2 and becomes part of the hash keys stored in _registry. Since developers may forget to update the validation identifier or not realize that they invalidated existing cache, it would seem better to add another validation mechanism: class X can have a method that returns all the known "traits" of X. For instance, if X is a table, I might add the names of all the columns. The hash calculation will include the traits as well. I can write this code, but I am afraid that I'm missing something important; and I'm also wondering if perhaps there's a framework or package that can do all of this stuff already. Ideally, I'd like to combine in-memory and disk-based caching.

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  • How long do FireFox, Chrome, Safari, and Opera cache SSL/TLS session keys?

    - by MJ
    To try to use a reason SSL/TLS session key timeout on the server-side, I'd like to know how long popular browsers cache session keys on the client. Microsoft describes this information for Windows/IE here: http://technet.microsoft.com/en-us/library/cc776467(WS.10).aspx But, I haven't been able to find similar information for other popular browsers. Does anyone know? Thanks!

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  • My iphone mobile safari does not cache , but i have a manifest file,...

    - by Ploetzeneder
    Hello, i have now put the site on: http://www.ploetzeneder.eu/Dateien/test/index4.html the manifest is there: http://www.ploetzeneder.eu/Dateien/test/app-cache-demo.manifest Why does it not work? The Webserver where the relevant problem has this url: http://www.pharao.mobi/WebAppproblem/ Username is the Username Passwort is the Password the problem is on index4.html where all images should be cached but are not

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  • Deploying multiple Grails instances with shared cache and sessions ?

    - by Kedare
    Hello, I am looking for a solution that allows me to deploy multiple load balanced Grails instances that have shared cache (EhCache Server ?) and sessions, is this possible ? I can't find any documentation on this (connecting to a common EhCache server or using Distributed EhCache, and sharing sessions (using EhCache too ?))... I'm looking for something that will work like multiple Rails instances with a common memcached and sessions/caches stored in the memcached... Can you help me ? Thank you !

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  • Should I cache the XRDS file returned in openid?

    - by Joseph
    In the initial part of the openid sequence, I request the OP (e.g. Yahoo.com) and get back the XRDS file which tells me the actual URL I need to use for the rest of the openid process. So, can I cache this initial file. E.g. if I have hundreds of users using a Yahoo openid, I would only have to do the initial fetch once every hour?

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  • Can I cache a ManyToOne hibernate object without it being lazy loaded?

    - by Andrew
    @ManyToOne @JoinColumn(name = "play_template_id", table = "team_play_mapping" ) public Play getPlay() { return play; } public void setPlay( Play play ) { this.play = play; } By default, this is eager loading. Can I get it so that it will read the play object from a cache without making it lazy loading? Am I correct that eager loading will force it to do a join query and hence no caching?

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  • My mobile does not cache , but i have a manifest file,...

    - by Ploetzeneder
    Hello, i have now put the site on: http://www.ploetzeneder.eu/Dateien/test/index4.html the manifest is there: http://www.ploetzeneder.eu/Dateien/test/app-cache-demo.manifest Why does it not work? The Webserver where the relevant problem has this url: http://www.pharao.mobi/WebAppproblem/ Username is the Username Passwort is the Password the problem is on index4.html where all images should be cached but are not

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  • Use HTTP PUT to create new cache (ehCache) running on the same Tomcat?

    - by socal_javaguy
    I am trying to send a HTTP PUT (in order to create a new cache and populate it with my generated JSON) to ehCache using my webservice which is on the same local tomcat instance. Am new to RESTful Web Services and am using JDK 1.6, Tomcat 7, ehCache, and JSON. I have my POJOs defined like this: Person POJO: import javax.xml.bind.annotation.XmlRootElement; @XmlRootElement public class Person { private String firstName; private String lastName; private List<House> houses; // Getters & Setters } House POJO: import javax.xml.bind.annotation.XmlRootElement; @XmlRootElement public class House { private String address; private String city; private String state; // Getters & Setters } Using a PersonUtil class, I hardcoded the POJOs as follows: public class PersonUtil { public static Person getPerson() { Person person = new Person(); person.setFirstName("John"); person.setLastName("Doe"); List<House> houses = new ArrayList<House>(); House house = new House(); house.setAddress("1234 Elm Street"); house.setCity("Anytown"); house.setState("Maine"); houses.add(house); person.setHouses(houses); return person; } } Am able to create a JSON response per a GET request: @Path("") public class MyWebService{ @GET @Produces(MediaType.APPLICATION_JSON) public Person getPerson() { return PersonUtil.getPerson(); } } When deploying the war to tomcat and pointing the browser to http://localhost:8080/personservice/ Generated JSON: { "firstName" : "John", "lastName" : "Doe", "houses": [ { "address" : "1234 Elmstreet", "city" : "Anytown", "state" : "Maine" } ] } So far, so good, however, I have a different app which is running on the same tomcat instance (and has support for REST): http://localhost:8080/ehcache/rest/ While tomcat is running, I can issue a PUT like this: echo "Hello World" | curl -S -T - http://localhost:8080/ehcache/rest/hello/1 When I "GET" it like this: curl http://localhost:8080/ehcache/rest/hello/1 Will yield: Hello World What I need to do is create a POST which will put my entire Person generated JSON and create a new cache: http://localhost:8080/ehcache/rest/person And when I do a "GET" on this previous URL, it should look like this: { "firstName" : "John", "lastName" : "Doe", "houses": [ { "address" : "1234 Elmstreet", "city" : "Anytown", "state" : "Maine" } ] } So, far, this is what my PUT looks like: @PUT @Path("/ehcache/rest/person") @Produces(MediaType.APPLICATION_JSON) @Consumes(MediaType.APPLICATION_JSON) public Response createCache() { ResponseBuilder response = Response.ok(PersonUtil.getPerson(), MediaType.APPLICATION_JSON); return response.build(); } Question(s): (1) Is this the correct way to write the PUT? (2) What should I write inside the createCache() method to have it PUT my generated JSON into: http://localhost:8080/ehcache/rest/person (3) What would the command line CURL comment look like to use the PUT? Thanks for taking the time to read this...

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  • Multithreaded java cache for objects that are heavy to create ?

    - by krosenvold
    I need a cache some objects with fairly heavy creation times, and I need exactly-once creation semantics. It should be possible to create objects for different CacheKeys concurrently. I think I need something that (under the hood) does something like this: ConcurrentHashMap<CacheKey, Future<HeavyObject>> Are there any existing open-source implementations of this that I can re-use ?

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