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• Cache-control for permanent 301 redirects nginx

  - by gansbrest

  I was wondering if there is a way to control lifetime of the redirects in Nginx? We would liek to cache 301 redirects in CDN for specific amount of time, let say 20 minutes and the CDN is controlled by the standard caching headers. By default there is no Cache-control or Expires directives with the Nginx redirect. That could cause the redirect to be cached for a really long time. By having specific redirect lifetime the system could have a chance to correct itself, knowing that even "permanent" redirect change from time to time.. The other thing is that those redirects are included from the Server block, which according the nginx specification should be evaluated before locations. I tried to add add_header Cache-Control "max-age=1200, public"; to the bottom of the redirects file, but the problem is that Cache-control gets added twice - first comes let say from the backend script and the other one added by the add_header directive.. In Apache there is the environment variable trick to control headers for rewrites: RewriteRule /taxonomy/term/(\d+)/feed /taxonomy/term/$1 [R=301,E=expire:1] Header always set Cache-Control "store, max-age=1200" env=expire But I'm not sure how to accomplish this in Nginx.

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• Nginx Cache-Control

  - by optixx

  Iam serving my static content with ngnix. location /static { alias /opt/static/blog/; access_log off; etags on; etag_hash on; etag_hash_method md5; expires 1d; add_header Pragma "public"; add_header Cache-Control "public, must-revalidate, proxy-revalidate"; } The resulting header looks like this: Cache-Control:public, must-revalidate, proxy-revalidate Cache-Control:max-age=86400 Connection:close Content-Encoding:gzip Content-Type:application/x-javascript; charset=utf-8 Date:Tue, 11 Sep 2012 08:39:05 GMT Etag:e2266fb151337fc1996218fafcf3bcee Expires:Wed, 12 Sep 2012 08:39:05 GMT Last-Modified:Tue, 11 Sep 2012 06:22:41 GMT Pragma:public Server:nginx/1.2.2 Transfer-Encoding:chunked Vary:Accept-Encoding Why is nginx sending 2 Cache-Control entries, could this be a problem for the clients?

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• Flush mod_pagespeed cache in Debian

  - by Ivar

  I need a way to flush the mod_pagespeed cache while developing. According to mod_pagespeed documents, I should run the following command: sudo touch /var/mod_pagespeed/cache/cache.flush In Debian it's "su" instead of "sudo". However, it doesn't work for me; there's no "touch" command, nor is there any "cache.flush" file in the defined directory. Have I missed something? You kick-ass Linux users, please be humble - I'm pretty new to these stuff. Thank you in advance!

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• Force request to miss cache but still store the response

  - by Tom Marthenal

  I have a slow web app that I've placed Varnish in front of. All of the pages are static (they don't vary for a different user), but they need to be updated every 5 minutes so they contain recent data. I have a simple script (wget --mirror) that crawls the entire website every 15 minutes. Each crawl takes about 5 minutes. The point of the crawl is to update every page in the Varnish cache so that a user never has to wait for the page to generate (since all pages have been generated recently thanks to the spider). The timeline looks like this: 00:00:00: Cache flushed 00:00:00: Spider starts crawling to update cache with new pages 00:05:00: Spider finishes crawling, all pages are updated until 1:15 A request that comes in between 0:00:00 and 0:05:00 might hit a page that hasn't been updated yet, and will be forced to wait a few seconds for a response. This isn't acceptable. What I'd like to do is, perhaps using some VCL magic, always foward requests from the spider to the backend, but still store the response in the cache. This way, a user will never have to wait for a page to generate since there is no 5-minute window in which parts of the cache are empty (except perhaps at server startup). How can I do this?

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• Roll standalone JBoss app under Tomcat

  - by Seva Alekseyev

  I've got a Linux box where there’s Tomcat running, with some JSP applications in it. Now, I’ve received a third party app from a developer shop to be eventually deployed. It came as an archive called "jboss7.tar" which, it seems, contained a whole standalone Web server. Once I’ve followed their instructions and run the designated shell script, it would start a server that would listen on port 8081, and app pages are being served up. Still, this strikes me as an inelegant setup. Why run two Web servers side by side, both of them Java-enabled? Also, the manual startup of the standalone app, I don't like that either. The real question is – can I take the user-provided portions from the said archive and somehow plug it under the existing Tomcat instance? It looks like the user code is packaged into files with .war extension, I can see them under /var/jboss7/standalone/deployments.

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• How to increase the disk cache of Windows 7

  - by Mark Christiaens

  Under Windows 7 (64 bit), I'm reading through 9000 moderately sized files. In total, there is more than 200 MB of data. Using Java (JDK 1.6.21) I'm iterating over the files. The first 1400 or so go at full speed but then speed drops off to 4ms per file. It turns out that the main cost is incurred simply by opening the files. I'm opening the files using new FileInputStream (and of course closing them in time to avoid file leaks). After some investigating, I see that Windows' disk cache is using only 100 MB or so of RAM although I have 8 GiB available. I've tried increasing the cache size using the CacheSet tool but any values I provide are considered out of range. I've also tried enabling the LargeSystemCache registry key but (after rebooting) the CacheSet tool still indicates I'm using 100 MB of cache (and doesn't increase during the test run). Does anybody have any suggestions to "encourage" Windows 7 to cache my 9000 files?

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• SBUG Session: The Enterprise Cache

  - by EltonStoneman

  [Source: http://geekswithblogs.net/EltonStoneman] I did a session on "The Enterprise Cache" at the UK SOA/BPM User Group yesterday which generated some useful discussion. The proposal was for a dedicated caching layer which all app servers and service providers can hook into, sharing resources and common data. The architecture might end up like this: I'll update this post with a link to the slide deck once it's available. The next session will have Udi Dahan walking through nServiceBus, register on EventBrite if you want to come along. Synopsis Looked at the benefits and drawbacks of app-centric isolated caches, compared to an enterprise-wide shared cache running on dedicated nodes; Suggested issues and risks around caching including staleness of data, resource usage, performance and testing; Walked through a generic service cache implemented as a WCF behaviour – suitable for IIS- or BizTalk-hosted services - which I'll be releasing on CodePlex shortly; Listed common options for cache providers and their offerings. Discussion Cache usage. Different value propositions for utilising the cache: improved performance, isolation from underlying systems (e.g. service output caching can have a TTL large enough to cover downtime), reduced resource impact – CPU, memory, SQL and cost (e.g. caching results of paid-for services). Dedicated cache nodes. Preferred over in-host caching provided latency is acceptable. Depending on cache provider, can offer easy scalability and global replication so cache clients always use local nodes. Restriction of AppFabric Caching to Windows Server 2008 not viewed as a concern. Security. Limited security model in most cache providers. Options for securing cache content suggested as custom implementations. Obfuscating keys and serialized values may mean additional security is not needed. Depending on security requirements and architecture, can ensure cache servers only accessible to cache clients via IPsec. Staleness. Generally thought to be an overrated problem. Thinking in line with eventual consistency, that serving up stale data may not be a significant issue. Good technical arguments support this, although I suspect business users will be harder to persuade. Providers. Positive feedback for AppFabric Caching – speed, configurability and richness of the distributed model making it a good enterprise choice. .NET port of memcached well thought of for performance but lack of replication makes it less suitable for these shared scenarios. Replicated fork – repcached – untried and less active than memcached. NCache also well thought of, but Express version too limited for enterprise scenarios, and commercial versions look costly compared to AppFabric.

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• Deploying an EAR to JBOSS times out (org.rhq.core.pc.inventory.TimeoutException:)

  - by rangalo

  Hi, I am trying to deploy an ear file to JBOSS AS (defalut server). The application is the mavenised version of examples of SeamInAction book. When I copy the file to $JBOSS_HOME/server/default/deploy, I don't get any exception but the application doesn't respond, after some time trying to access the application from the browser gives following in the log... While deploying with admin-console (http://localhost:8080/admin-console) I get following error messgae: PS: After this Jboss gets into unusable state. I cannot even access admin-console. I just have to kill it. ErrorMessage in admin-console: Failed to create Resource Open18.ear - cause: org.rhq.core.pc.inventory.TimeoutException: Call to [org.rhq.plugins.jbossas5.ApplicationServerComponent.createResource()] with args [[CreateResourceReport: ResourceType=[ResourceType[id=0, category=Service, name=Enterprise Application (EAR), plugin=JBossAS5]], ResourceKey=[null]]] timed out. Invocation thread will be interrupted at org.rhq.core.pc.inventory.ResourceContainer$ResourceComponentInvocationHandler.invokeInNewThreadWithLock(ResourceContainer.java:437) at org.rhq.core.pc.inventory.ResourceContainer$ResourceComponentInvocationHandler.invoke(ResourceContainer.java:406) at $Proxy266.createResource(Unknown Source) at org.rhq.core.pc.inventory.CreateResourceRunner.call(CreateResourceRunner.java:113) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:619) Error Logs: 4:08:58,555 INFO [TableMetadata] foreign keys: [fkaf42e01ba13c3380, fk_course_ref_facility] 14:08:58,555 INFO [TableMetadata] indexes: [course_pkey] 14:08:58,645 INFO [TableMetadata] table found: public.facility 14:08:58,645 INFO [TableMetadata] columns: [zip, phone, state, type, uri, city, country, id, price_range, address, county, description, nam e] 14:08:58,645 INFO [TableMetadata] foreign keys: [] 14:08:58,645 INFO [TableMetadata] indexes: [facility_pkey] 14:08:58,705 INFO [TableMetadata] table found: public.hole 14:08:58,705 INFO [TableMetadata] columns: [id, m_par, l_handicap, name, l_par, number, course_id, m_handicap] 14:08:58,705 INFO [TableMetadata] foreign keys: [fk_hole_ref_course, fk30f4c09c3f1200] 14:08:58,705 INFO [TableMetadata] indexes: [hole_pkey, uniq_hole_number] 14:08:58,764 INFO [TableMetadata] table found: public.tee 14:08:58,764 INFO [TableMetadata] columns: [hole_id, distance, tee_set_id] 14:08:58,764 INFO [TableMetadata] foreign keys: [fk1c014f8de7677, fk_tee_ref_hole, fk1c014c69de560, fk_tee_ref_tee_set] 14:08:58,764 INFO [TableMetadata] indexes: [tee_pkey] 14:08:58,826 INFO [TableMetadata] table found: public.tee_set 14:08:58,826 INFO [TableMetadata] columns: [id, color, m_slope_rating, l_slope_rating, name, course_id, m_course_rating, l_course_rating, p os] 14:08:58,826 INFO [TableMetadata] foreign keys: [fk_tee_set_ref_course, fkaa6881b79c3f1200] 14:08:58,826 INFO [TableMetadata] indexes: [tee_set_pkey, uniq_tee_set_pos, uniq_tee_set_color] 14:08:58,827 INFO [SchemaUpdate] schema update complete 14:08:58,829 INFO [NamingHelper] JNDI InitialContext properties:{java.naming.factory.initial=org.jnp.interfaces.NamingContextFactory, java. naming.factory.url.pkgs=org.jboss.naming:org.jnp.interfaces} 14:08:58,850 INFO [TomcatDeployment] deploy, ctxPath=/Open18 14:15:53,969 WARN [DiscoveryComponentProxyFactory] The discovery component for resource type [ResourceType[id=0, category=Service, name=Connector, plugin=JBossAS5]] has been blacklisted 14:15:53,970 WARN [InventoryManager] Failure during discovery for [Connector] Resources - failed after 300002 ms. org.rhq.core.pc.inventory.TimeoutException: Call to [org.rhq.plugins.jbossas5.ConnectorDiscoveryComponent.discoverResources()] with args [[org.rhq.core.pluginapi.inventory.ResourceDiscoveryContext@96db1]] timed out. Invocation thread will be interrupted at org.rhq.core.pc.util.DiscoveryComponentProxyFactory$ResourceDiscoveryComponentInvocationHandler.invokeInNewThread(DiscoveryComponentProxyFactory.java:208) at org.rhq.core.pc.util.DiscoveryComponentProxyFactory$ResourceDiscoveryComponentInvocationHandler.invoke(DiscoveryComponentProxyFactory.java:181) at $Proxy249.discoverResources(Unknown Source) at org.rhq.core.pc.inventory.InventoryManager.invokeDiscoveryComponent(InventoryManager.java:272) at org.rhq.core.pc.inventory.InventoryManager.executeComponentDiscovery(InventoryManager.java:1697) at org.rhq.core.pc.inventory.RuntimeDiscoveryExecutor.discoverForResource(RuntimeDiscoveryExecutor.java:218) at org.rhq.core.pc.inventory.RuntimeDiscoveryExecutor.discoverForResource(RuntimeDiscoveryExecutor.java:234) at org.rhq.core.pc.inventory.RuntimeDiscoveryExecutor.runtimeDiscover(RuntimeDiscoveryExecutor.java:134) at org.rhq.core.pc.inventory.RuntimeDiscoveryExecutor.call(RuntimeDiscoveryExecutor.java:94) at org.rhq.core.pc.inventory.RuntimeDiscoveryExecutor.call(RuntimeDiscoveryExecutor.java:51) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$301(ScheduledThreadPoolExecutor.java:98) at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:207) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908) at java.lang.Thread.run(Thread.java:619) 14:15:53,981 WARN [NavigationContent] Unable to find node for deleted resource [Resource[id=-5, type=Connector, key=ajp://127.0.0.1:8009, name=ajp://127.0.0.1:8009, parent=JBoss Web]].

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• Injection of an EJB into a web java class under JBoss 7.1.1

  - by Dobbo

  I am trying to build a website using JBoss 7.1.1 and RESTeasy. I have managed to constructed and deploy and EAR with a both a WAR and an EJB-JAR contained within: voyager-app.ear META-INF/MANIFEST.MF META-INF/application.xml META-INF/jboss-app.xml lib/voyager-lib.jar voyager-adm.war voyager-ejb.jar voyager-web.war So far things are very simple. voyager-adm.war & voyager-lib.jar are empty (just the manifest file) but I know that I'm going to have code for them shortly. There is just one Stateful EJB - HarbourMasterBean (with just a local interface) and a few Database Entity Beans in the EJB jar file: voyager-ejb.jar META-INF/MANIFEST.MF META-INF/persistence.xml com/nutrastat/voyager/db/HarbourMasterBean.class com/nutrastat/voyager/db/HarbourMasterLocal.class com/nutrastat/voyager/db/PortEntity.class com/nutrastat/voyager/db/ShipEntity.class As far as I can tell the EJBs deploy correctly because the database units are created and the log shows that the publication of some HarbourMaster references: java:global/voyager-app/voyager-ejb/harbour-master!com.nutrastat.voyager.db.HarbourMasterLocal java:app/voyager-ejb/harbour-master!com.nutrastat.voyager.db.HarbourMasterLocal java:module/harbour-master!com.nutrastat.voyager.db.HarbourMasterLocal java:global/voyager-app/voyager-ejb/harbour-master java:app/voyager-ejb/harbour-master java:module/harbour-master The problem lies in getting the HarbourMaster EJB injected into my web bean. The reference to it is alway NULL no matter what I try. voyager-web.war META-INF/MANIFEST.MF WEB-INF/web.xml WEB-INF/classes/com/nutrastat/voyager/web/ WEB-INF/classes/com/nutrastat/voyager/web/Ships.class WEB-INF/classes/com/nutrastat/voyager/web/VoyagerApplication.class Ships.java: @Path("fleet") public class Ships { protected transient final Logger log; @EJB private HarbourMasterLocal harbourMaster; public Ships() { log = LoggerFactory.getLogger(getClass()); } @GET @Path("ships") @Produces({"text/plain"}) public String listShips() { if (log.isDebugEnabled()) log.debug("Harbour master value: " + harbourMaster); return "Harbour Master: " + harbourMaster; } } &lt;web-app xmlns="http://java.sun.com/xml/ns/javaee" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/javaee http://java.sun.com/xml/ns/javaee/web-app_3_0.xsd" version="3.0" &gt; <display-name>Voyager Web Application</display-name> <listener> <listener-class> org.jboss.resteasy.plugins.server.servlet.ResteasyBootstrap </listener-class> </listener> <servlet> <servlet-name>Resteasy</servlet-name> <servlet-class> org.jboss.resteasy.plugins.server.servlet.HttpServletDispatcher </servlet-class> <init-param> <param-name> javax.ws.rs.Application </param-name> <param-value> com.nutrastat.voyager.web.VoyagerApplication </param-value> </init-param> </servlet> <servlet-mapping> <servlet-name>Resteasy</servlet-name> <url-pattern>/*</url-pattern> </servlet-mapping> &lt;/web-app&gt; I have been searching the web for an answer and read a number of places, both on StackOverflow and elsewhere that suggests is can be done, and that the problems lies with configuration. But they post only snippets and I'm never sure if I'm doing things correctly. Many thanks for any help you can provide. Dobbo

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• How should I force-enable BIND's persistent cache, or Unbound's persistent cache

  - by Jacob Rabinsun

  I am trying to run a local DNS server on my home computer so that I can both increase DNS lookups speed and reduce bandwidth use, so that both my laptop and my PC can do lookups faster. I have got BIND 9 running very smoothly, there is only one simple problem, and that being the fact that BIND is not a persistent DNS cache, and if I restart its service, the whole cash would be wiped out. So, is there a way that I could make BIND9 keep its cache after system restart? Also, which one is better Unbound or BIND? Which one would you suggest? Does Unbound DNS have a persistent cache or can it be enabled?

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• I am trying to figure out the best way to understand how to cache domain objects

  - by Brett Ryan

  I've always done this wrong, I'm sure a lot of others have too, hold a reference via a map and write through to DB etc.. I need to do this right, and I just don't know how to go about it. I know how I want my objects to be cached but not sure on how to achieve it. What complicates things is that I need to do this for a legacy system where the DB can change without notice to my application. So in the context of a web application, let's say I have a WidgetService which has several methods: Widget getWidget(); Collection<Widget> getAllWidgets(); Collection<Widget> getWidgetsByCategory(String categoryCode); Collection<Widget> getWidgetsByContainer(Integer parentContainer); Collection<Widget> getWidgetsByStatus(String status); Given this, I could decide to cache by method signature, i.e. getWidgetsByCategory("AA") would have a single cache entry, or I could cache widgets individually, which would be difficult I believe; OR, a call to any method would then first cache ALL widgets with a call to getAllWidgets() but getAllWidgets() would produce caches that match all the keys for the other method invocations. For example, take the following untested theoretical code. Collection<Widget> getAllWidgets() { Entity entity = cache.get("ALL_WIDGETS"); Collection<Widget> res; if (entity == null) { res = loadCache(); } else { res = (Collection<Widget>) entity.getValue(); } return res } Collection<Widget> loadCache() { // Get widgets from underlying DB Collection<Widget> res = db.getAllWidgets(); cache.put("ALL_WIDGETS", res); Map<String, List<Widget>> byCat = new HashMap<>(); for (Widget w : res) { // cache by different types of method calls, i.e. by category if (!byCat.containsKey(widget.getCategory()) { byCat.put(widget.getCategory(), new ArrayList<Widget>); } byCat.get(widget.getCatgory(), widget); } cacheCategories(byCat); return res; } Collection<Widget> getWidgetsByCategory(String categoryCode) { CategoryCacheKey key = new CategoryCacheKey(categoryCode); Entity ent = cache.get(key); if (entity == null) { loadCache(); } ent = cache.get(key); return ent == null ? Collections.emptyList() : (Collection<Widget>)ent.getValue(); } NOTE: I have not worked with a cache manager, the above code illustrates cache as some object that may hold caches by key/value pairs, though it's not modelled on any specific implementation. Using this I have the benefit of being able to cache all objects in the different ways they will be called with only single objects on the heap, whereas if I were to cache the method call invocation via say Spring It would (I believe) cache multiple copies of the objects. I really wish to try and understand the best ways to cache domain objects before I go down the wrong path and make it harder for myself later. I have read the documentation on the Ehcache website and found various articles of interest, but nothing to give a good solid technique. Since I'm working with an ERP system, some DB calls are very complicated, not that the DB is slow, but the business representation of the domain objects makes it very clumsy, coupled with the fact that there are actually 11 different DB's where information can be contained that this application is consolidating in a single view, this makes caching quite important.

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• Cache efficient code

  - by goldenmean

  This could sound a subjective question, but what i am looking for is specific instances which you would have encountered related to this. 1) How to make a code, cache effective-cache friendly? (More cache hits, as less cahce misses as possible). from both perspectives, data cache & program cache(instruction cache). i.e. What all things in one's code, related to data structures, code constructs one should take care of to make it cache effective. 2) Are there any particular data structures one must use, must avoid,or particular way of accessing the memers of that structure etc.. to make code cache effective. 3) Are there any program constructs(if, for, switch, break, goto,...), code-flow(for inside a if, if inside a for, etc...) one should follow/avoid in this matter? I am looking forward to hear individual experiences related to making a cache efficient code in general. It can be any programming language(C,C++,ASsembly,...), any hardware target(ARM,Intel,PowerPC,...), any OS(Windows,Linux,Symbian,...) etc.. More the variety, it will help better to understand it deeply.

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• Too many Bind query (cache) denied, DNS attack?

  - by Jake

  Once Bind crashed and I did: tail -f /var/log/messages I see a massive number of logs every second. Is this a DNS attack? or is there something wrong? Sometimes I see a domain in logs like this: dOmAin.com (upper and lower). As you see there is only one single domain in the logs with different IPs Oct 10 02:21:26 mail named[20831]: client 74.125.189.18#38921: query (cache) 'ns1.domain2.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 192.221.144.171#38833: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 74.125.189.17#42428: query (cache) 'ns2.domain2.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 192.221.146.27#37899: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 193.203.82.66#39263: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 8.0.16.170#59723: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 80.169.197.66#32903: query (cache) 'dOmAin.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 134.58.60.1#47558: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 192.221.146.34#47387: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 8.0.16.8#59392: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 74.125.189.19#64395: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 217.72.163.3#42190: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 83.146.21.252#22020: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 192.221.146.116#57342: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 193.203.82.66#52020: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 8.0.16.72#64317: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 80.169.197.66#31989: query (cache) 'dOmAin.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 74.125.189.18#47436: query (cache) 'ns2.domain2.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 74.125.189.16#44005: query (cache) 'ns1.domain2.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 85.132.31.10#50379: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 94.241.128.3#60106: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 85.132.31.10#59118: query (cache) 'domain.com/A/IN' denied Oct 10 02:21:26 mail named[20831]: client 212.95.135.78#27811: query (cache) 'domain.com/A/IN' denied /etc/resolv.conf ; generated by /sbin/dhclient-script nameserver 4.2.2.4 nameserver 8.8.4.4 Bind config: // generated by named-bootconf.pl options { directory "/var/named"; /* * If there is a firewall between you and nameservers you want * to talk to, you might need to uncomment the query-source * directive below. Previous versions of BIND always asked * questions using port 53, but BIND 8.1 uses an unprivileged * port by default. */ // query-source address * port 53; allow-transfer { none; }; allow-recursion { localnets; }; //listen-on-v6 { any; }; notify no; }; // // a caching only nameserver config // controls { inet 127.0.0.1 allow { localhost; } keys { rndckey; }; }; zone "." IN { type hint; file "named.ca"; }; zone "localhost" IN { type master; file "localhost.zone"; allow-update { none; }; }; zone "0.0.127.in-addr.arpa" IN { type master; file "named.local"; allow-update { none; }; };

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• Datanucleus/JDO Level 2 Cache on Google App Engine

  - by Thilo

  Is it possible (and does it make sense) to use the JDO Level 2 Cache for the Google App Engine Datastore? First of all, why is there no documentation about this on Google's pages? Are there some problems with it? Do we need to set up limits to protect our memcache quota? According to DataNucleus on Stackoverflow, you can set the following persistence properties: datanucleus.cache.level2.type=javax.cache datanucleus.cache.level2.cacheName={cache name} Is that all? Can we choose any cache name? Other sources on the Internet report using different settings. Also, it seems we need to download the DataNucleus Cache support plugin. Which version would be appropriate? And do we just place it in WEB-INF/lib or does it need more setup to activate it?

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• Collections not read from hibernate/ehcache second-level-cache

  - by Mark van Venrooij

  I'm trying to cache lazy loaded collections with ehcache/hibernate in a Spring project. When I execute a session.get(Parent.class, 123) and browse through the children multiple times a query is executed every time to fetch the children. The parent is only queried the first time and then resolved from the cache. Probably I'm missing something, but I can't find the solution. Please see the relevant code below. I'm using Spring (3.2.4.RELEASE) Hibernate(4.2.1.Final) and ehcache(2.6.6) The parent class: @Entity @Table(name = "PARENT") @Cacheable @Cache(usage = CacheConcurrencyStrategy.READ_WRITE, include = "all") public class ServiceSubscriptionGroup implements Serializable { /** The Id. */ @Id @Column(name = "ID") private int id; @OneToMany(fetch = FetchType.LAZY, mappedBy = "parent") @Cache(usage = CacheConcurrencyStrategy.READ_WRITE) private List<Child> children; public List<Child> getChildren() { return children; } public void setChildren(List<Child> children) { this.children = children; } @Override public boolean equals(Object o) { if (this == o) return true; if (o == null || getClass() != o.getClass()) return false; Parent that = (Parent) o; if (id != that.id) return false; return true; } @Override public int hashCode() { return id; } } The child class: @Entity @Table(name = "CHILD") @Cacheable @Cache(usage = CacheConcurrencyStrategy.READ_WRITE, include = "all") public class Child { @Id @Column(name = "ID") private int id; @ManyToOne(fetch = FetchType.LAZY, cascade = CascadeType.ALL) @JoinColumn(name = "PARENT_ID") @Cache(usage = CacheConcurrencyStrategy.READ_WRITE) private Parent parent; public int getId() { return id; } public void setId(final int id) { this.id = id; } private Parent getParent(){ return parent; } private void setParent(Parent parent) { this.parent = parent; } @Override public boolean equals(final Object o) { if (this == o) { return true; } if (o == null || getClass() != o.getClass()) { return false; } final Child that = (Child) o; return id == that.id; } @Override public int hashCode() { return id; } } The application context: <bean id="sessionFactory" class="org.springframework.orm.hibernate4.LocalSessionFactoryBean"> <property name="dataSource" ref="dataSource" /> <property name="annotatedClasses"> <list> <value>Parent</value> <value>Child</value> </list> </property> <property name="hibernateProperties"> <props> <prop key="hibernate.dialect">org.hibernate.dialect.SQLServer2008Dialect</prop> <prop key="hibernate.hbm2ddl.auto">validate</prop> <prop key="hibernate.ejb.naming_strategy">org.hibernate.cfg.ImprovedNamingStrategy</prop> <prop key="hibernate.connection.charSet">UTF-8</prop> <prop key="hibernate.show_sql">true</prop> <prop key="hibernate.format_sql">true</prop> <prop key="hibernate.use_sql_comments">true</prop> <!-- cache settings ehcache--> <prop key="hibernate.cache.use_second_level_cache">true</prop> <prop key="hibernate.cache.use_query_cache">true</prop> <prop key="hibernate.cache.region.factory_class"> org.hibernate.cache.ehcache.SingletonEhCacheRegionFactory</prop> <prop key="hibernate.generate_statistics">true</prop> <prop key="hibernate.cache.use_structured_entries">true</prop> <prop key="hibernate.cache.use_query_cache">true</prop> <prop key="hibernate.transaction.factory_class"> org.hibernate.engine.transaction.internal.jta.JtaTransactionFactory</prop> <prop key="hibernate.transaction.jta.platform"> org.hibernate.service.jta.platform.internal.JBossStandAloneJtaPlatform</prop> </props> </property> </bean> The testcase I'm running: @Test public void testGetParentFromCache() { for (int i = 0; i <3 ; i++ ) { getEntity(); } } private void getEntity() { Session sess = sessionFactory.openSession() sess.setCacheMode(CacheMode.NORMAL); Transaction t = sess.beginTransaction(); Parent p = (Parent) s.get(Parent.class, 123); Assert.assertNotNull(p); Assert.assertNotNull(p.getChildren().size()); t.commit(); sess.flush(); sess.clear(); sess.close(); } In the logging I can see that the first time 2 queries are executed getting the parent and getting the children. Furthermore the logging shows that the child entities as well as the collection are stored in the 2nd level cache. However when reading the collection a query is executed to fetch the children on second and third attempt.

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• Have you used Intersystems Caché? What is your experience?

  - by user49767

  I came across few claims that usage of CacheDB instead of prooven RDBMS. But I couldn't understand how it is better than RDBMS? if so, why do they prefixed with Cache? Is it RDBMS or Caché server? Could you write brief notes about the use-case in your project?

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• Organization &amp; Architecture UNISA Studies &ndash; Chap 4

  - by MarkPearl

  Learning Outcomes Explain the characteristics of memory systems Describe the memory hierarchy Discuss cache memory principles Discuss issues relevant to cache design Describe the cache organization of the Pentium Computer Memory Systems There are key characteristics of memory… Location – internal or external Capacity – expressed in terms of bytes Unit of Transfer – the number of bits read out of or written into memory at a time Access Method – sequential, direct, random or associative From a users perspective the two most important characteristics of memory are… Capacity Performance – access time, memory cycle time, transfer rate The trade off for memory happens along three axis… Faster access time, greater cost per bit Greater capacity, smaller cost per bit Greater capacity, slower access time This leads to people using a tiered approach in their use of memory   As one goes down the hierarchy, the following occurs… Decreasing cost per bit Increasing capacity Increasing access time Decreasing frequency of access of the memory by the processor The use of two levels of memory to reduce average access time works in principle, but only if conditions 1 to 4 apply. A variety of technologies exist that allow us to accomplish this. Thus it is possible to organize data across the hierarchy such that the percentage of accesses to each successively lower level is substantially less than that of the level above. A portion of main memory can be used as a buffer to hold data temporarily that is to be read out to disk. This is sometimes referred to as a disk cache and improves performance in two ways… Disk writes are clustered. Instead of many small transfers of data, we have a few large transfers of data. This improves disk performance and minimizes processor involvement. Some data designed for write-out may be referenced by a program before the next dump to disk. In that case the data is retrieved rapidly from the software cache rather than slowly from disk. Cache Memory Principles Cache memory is substantially faster than main memory. A caching system works as follows.. When a processor attempts to read a word of memory, a check is made to see if this in in cache memory… If it is, the data is supplied, If it is not in the cache, a block of main memory, consisting of a fixed number of words is loaded to the cache. Because of the phenomenon of locality of references, when a block of data is fetched into the cache, it is likely that there will be future references to that same memory location or to other words in the block. Elements of Cache Design While there are a large number of cache implementations, there are a few basic design elements that serve to classify and differentiate cache architectures… Cache Addresses Cache Size Mapping Function Replacement Algorithm Write Policy Line Size Number of Caches Cache Addresses Almost all non-embedded processors support virtual memory. Virtual memory in essence allows a program to address memory from a logical point of view without needing to worry about the amount of physical memory available. When virtual addresses are used the designer may choose to place the cache between the MMU (memory management unit) and the processor or between the MMU and main memory. The disadvantage of virtual memory is that most virtual memory systems supply each application with the same virtual memory address space (each application sees virtual memory starting at memory address 0), which means the cache memory must be completely flushed with each application context switch or extra bits must be added to each line of the cache to identify which virtual address space the address refers to. Cache Size We would like the size of the cache to be small enough so that the overall average cost per bit is close to that of main memory alone and large enough so that the overall average access time is close to that of the cache alone. Also, larger caches are slightly slower than smaller ones. Mapping Function Because there are fewer cache lines than main memory blocks, an algorithm is needed for mapping main memory blocks into cache lines. The choice of mapping function dictates how the cache is organized. Three techniques can be used… Direct – simplest technique, maps each block of main memory into only one possible cache line Associative – Each main memory block to be loaded into any line of the cache Set Associative – exhibits the strengths of both the direct and associative approaches while reducing their disadvantages For detailed explanations of each approach – read the text book (page 148 – 154) Replacement Algorithm For associative and set associating mapping a replacement algorithm is needed to determine which of the existing blocks in the cache must be replaced by a new block. There are four common approaches… LRU (Least recently used) FIFO (First in first out) LFU (Least frequently used) Random selection Write Policy When a block resident in the cache is to be replaced, there are two cases to consider If no writes to that block have happened in the cache – discard it If a write has occurred, a process needs to be initiated where the changes in the cache are propagated back to the main memory. There are several approaches to achieve this including… Write Through – all writes to the cache are done to the main memory as well at the point of the change Write Back – when a block is replaced, all dirty bits are written back to main memory The problem is complicated when we have multiple caches, there are techniques to accommodate for this but I have not summarized them. Line Size When a block of data is retrieved and placed in the cache, not only the desired word but also some number of adjacent words are retrieved. As the block size increases from very small to larger sizes, the hit ratio will at first increase because of the principle of locality, which states that the data in the vicinity of a referenced word are likely to be referenced in the near future. As the block size increases, more useful data are brought into cache. The hit ratio will begin to decrease as the block becomes even bigger and the probability of using the newly fetched information becomes less than the probability of using the newly fetched information that has to be replaced. Two specific effects come into play… Larger blocks reduce the number of blocks that fit into a cache. Because each block fetch overwrites older cache contents, a small number of blocks results in data being overwritten shortly after they are fetched. As a block becomes larger, each additional word is farther from the requested word and therefore less likely to be needed in the near future. The relationship between block size and hit ratio is complex, and no set approach is judged to be the best in all circumstances.   Pentium 4 and ARM cache organizations The processor core consists of four major components: Fetch/decode unit – fetches program instruction in order from the L2 cache, decodes these into a series of micro-operations, and stores the results in the L2 instruction cache Out-of-order execution logic – Schedules execution of the micro-operations subject to data dependencies and resource availability – thus micro-operations may be scheduled for execution in a different order than they were fetched from the instruction stream. As time permits, this unit schedules speculative execution of micro-operations that may be required in the future Execution units – These units execute micro-operations, fetching the required data from the L1 data cache and temporarily storing results in registers Memory subsystem – This unit includes the L2 and L3 caches and the system bus, which is used to access main memory when the L1 and L2 caches have a cache miss and to access the system I/O resources

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• Is it OK to set "Cache-Control: public" when sending “304 Not Modified” for images stored in the dat

  - by Emilien

  After asking a question about sending “304 Not Modified” for images stored in the in the Google App Engine datastore, I now have a question about Cache-Control. My app now sends Last-Modified and Etag, but by default GAE alsto sends Cache-Control: no-cache. According to this page: The “no-cache” directive, according to the RFC, tells the browser that it should revalidate with the server before serving the page from the cache. [...] In practice, IE and Firefox have started treating the no-cache directive as if it instructs the browser not to even cache the page. As I DO want browsers to cache the image, I've added the following line to my code: self.response.headers['Cache-Control'] = "public" According to the same page as before: The “cache-control: public” directive [...] tells the browser and proxies [...] that the page may be cached. This is good for non-sensitive pages, as caching improves performance. The question is if this could be harmful to the application in some way? Would it be best to send Cache-Control: must-revalidate to "force" the browser to revalidate (I suppose that is the behavior that was originally the reason behind sending Cache-Control: no-cache) This directive insists that the browser must revalidate the page against the server before serving it from cache. Note that it implicitly lets the browser cache the page.

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• JspC in jboss 4.2 distribution

  - by Claudio

  Where can I find the org.apache.jasper.JspC class in the JBoss 4.2 distribution (exactly a 4.2.2.GA one)? Thanks Claudio

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• Jboss logging issue - pl look

  - by balaji

  Actually my issue is , our application is deployed on jboos As 4.0x, we face some issues in jboss logging.. whenever the server is restarted, jboss stops logging , and there is no update in server.log. After that it is not updating the log file. then we do touch cmd on log4j.xml, so that it creates the log files again. Please help me in fixing the issue we cant do touch everytine. we face this issue in both the nodes. thanks, balaji

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• WEB-INF/lib jars not found in JBoss 4.0.2 war deploy

  - by boongywoongy

  I have a simple web application (one jsp and one servlet) file that I've copied into jboss-4.0.2/server/default/deploy folder and it has successfully hot deployed as I can access the jsp page. However, when I invoke the servlet, I am getting a java.lan.NoClassDefFoundError. I suspect that the jars under the WEB-INF/lib directory within the war is not being picked up. The structure of my war is: META-INF --> MANIFEST.MF WEB-INF --> classes --> ...*.classes --> lib --> jcommon-1.0.16.jar jfreechart-1.0.13.jar servlet-api.jar index.jsp Anybody else have classloading issues in JBoss 4? Many thanks.

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• Jboss logging issue - pl check this as its very urgent

  - by balaji

  Actually my issue is , our application is deployed on jboos As 4.0x, we face some issues in jboss logging.. whenever the server is restarted, jboss stops logging , and there is no update in server.log. After that it is not updating the log file. then we do touch cmd on log4j.xml, so that it creates the log files again. Please help me in fixing the issue we cant do touch everytine. we face this issue in both the nodes. I could not figure where the problem is? If any other issues, we can check the log files. If log itself is not getting updated/logged, how can we move further in analysing the issues without the recent/updated logs.. please help me..

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• Tomcat version within JBoss?

  - by tinny

  What version of Tomcat does JBoss 5.1.0 have embedded? Thanks

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• JBOSS V/s appache tomcat

  - by DEE

  Hi There, i am new to "java world" , i need following clarification when to use JBOSS v/s TOMCAT ? differences? which is more reliable ? which is more scalable? which is more easy to to administrate? does both have scale out options? can i host an application developed in flex on JBOSS/TOMCAT? my application would be simple 3-tier with Servlets , so given this which is the best option. any comments/suggestions Thanks in advance DEE

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• Is it possible to use flashvars with JBoss?

  - by Aikanaro

  Hi, I'm part of a team developing a product using JSF 2.0 and I was asked to investigate the possibility of including FusionCharts free in the app. I have tried different ways of inserting a simple chart in a JSF page but with no luck. On of the methods involves using the elements OBJECT and EMBED but hhen I try to use them I get a "null source" error from JBoss. From what I could find online (through Google), I am under the impression that 'flashvars' isn't quite compatible with JBoss. Is anyone here able to confirm this? If this is the case, what workaround would you suggest me? Other ways I also found online didn't show the chart not even an error message. Thanks in advance.

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