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  • Java - System design with distributed Queues and Locks

    - by sunny
    Looking for inputs to evaluate a design for a system (java) which would have a distributed queue serving several (but not too many) nodes. These nodes would process objects present in the distributed queue and on occasion require a distributed lock across the cluster on an arbitrary (distributed) data structures. These (distributed) data structures could potentially lie in a distributed cache. Eliminating Terracotta (DSO),Hazelcast and Akka what could be alternative choices. Currently considering zookeeper as a distributed locking mechanism. Since the recommendation of a znode is not to exceed the 1M size , the understanding is that zookeeper should not be used a distributed queue. And also from Netflix curator tech note 4. So should a distributed cache, say like memcached, or redis be used to emulate a distributed queue ? i.e. The distributed queue will be stored in the caches and will be locked cluster-wide via zookeeper. Are there potential pitfalls with this high-level approach. The objects don't need to be taken off the queue. The object will pass through a lifecycle which will determine its removal from the queue. There would be about 10k+ objects in a queue at a given time changing states and any node could service one stage of the object's lifecycle. (Although not strictly necessary .. i.e. one node could serve the entire lifecycle if that is more efficient.) Any suggestions/alternatives ? sidenote: new to zookeeper ; redis etc.

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  • Adding SQL Cache Dependencies to the Loosely coupled .NET Cache Provider

    - by Rhames
    This post adds SQL Cache Dependency support to the loosely coupled .NET Cache Provider that I described in the previous post (http://geekswithblogs.net/Rhames/archive/2012/09/11/loosely-coupled-.net-cache-provider-using-dependency-injection.aspx). The sample code is available on github at https://github.com/RobinHames/CacheProvider.git. Each time we want to apply a cache dependency to a call to fetch or cache a data item we need to supply an instance of the relevant dependency implementation. This suggests an Abstract Factory will be useful to create cache dependencies as needed. We can then use Dependency Injection to inject the factory into the relevant consumer. Castle Windsor provides a typed factory facility that will be utilised to implement the cache dependency abstract factory (see http://docs.castleproject.org/Windsor.Typed-Factory-Facility-interface-based-factories.ashx). Cache Dependency Interfaces First I created a set of cache dependency interfaces in the domain layer, which can be used to pass a cache dependency into the cache provider. ICacheDependency The ICacheDependency interface is simply an empty interface that is used as a parent for the specific cache dependency interfaces. This will allow us to place a generic constraint on the Cache Dependency Factory, and will give us a type that can be passed into the relevant Cache Provider methods. namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheDependency { } }   ISqlCacheDependency.cs The ISqlCacheDependency interface provides specific SQL caching details, such as a Sql Command or a database connection and table. It is the concrete implementation of this interface that will be created by the factory in passed into the Cache Provider. using System; using System.Collections.Generic; using System.Linq; using System.Text;   namespace CacheDiSample.Domain.CacheInterfaces { public interface ISqlCacheDependency : ICacheDependency { ISqlCacheDependency Initialise(string databaseConnectionName, string tableName); ISqlCacheDependency Initialise(System.Data.SqlClient.SqlCommand sqlCommand); } } If we want other types of cache dependencies, such as by key or file, interfaces may be created to support these (the sample code includes an IKeyCacheDependency interface). Modifying ICacheProvider to accept Cache Dependencies Next I modified the exisitng ICacheProvider<T> interface so that cache dependencies may be passed into a Fetch method call. I did this by adding two overloads to the existing Fetch methods, which take an IEnumerable<ICacheDependency> parameter (the IEnumerable allows more than one cache dependency to be included). I also added a method to create cache dependencies. This means that the implementation of the Cache Provider will require a dependency on the Cache Dependency Factory. It is pretty much down to personal choice as to whether this approach is taken, or whether the Cache Dependency Factory is injected directly into the repository or other consumer of Cache Provider. I think, because the cache dependency cannot be used without the Cache Provider, placing the dependency on the factory into the Cache Provider implementation is cleaner. ICacheProvider.cs using System; using System.Collections.Generic;   namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheProvider<T> { T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies);   IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry); IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies);   U CreateCacheDependency<U>() where U : ICacheDependency; } }   Cache Dependency Factory Next I created the interface for the Cache Dependency Factory in the domain layer. ICacheDependencyFactory.cs namespace CacheDiSample.Domain.CacheInterfaces { public interface ICacheDependencyFactory { T Create<T>() where T : ICacheDependency;   void Release<T>(T cacheDependency) where T : ICacheDependency; } }   I used the ICacheDependency parent interface as a generic constraint on the create and release methods in the factory interface. Now the interfaces are in place, I moved on to the concrete implementations. ISqlCacheDependency Concrete Implementation The concrete implementation of ISqlCacheDependency will need to provide an instance of System.Web.Caching.SqlCacheDependency to the Cache Provider implementation. Unfortunately this class is sealed, so I cannot simply inherit from this. Instead, I created an interface called IAspNetCacheDependency that will provide a Create method to create an instance of the relevant System.Web.Caching Cache Dependency type. This interface is specific to the ASP.NET implementation of the Cache Provider, so it should be defined in the same layer as the concrete implementation of the Cache Provider (the MVC UI layer in the sample code). IAspNetCacheDependency.cs using System.Web.Caching;   namespace CacheDiSample.CacheProviders { public interface IAspNetCacheDependency { CacheDependency CreateAspNetCacheDependency(); } }   Next, I created the concrete implementation of the ISqlCacheDependency interface. This class also implements the IAspNetCacheDependency interface. This concrete implementation also is defined in the same layer as the Cache Provider implementation. AspNetSqlCacheDependency.cs using System.Web.Caching; using CacheDiSample.Domain.CacheInterfaces;   namespace CacheDiSample.CacheProviders { public class AspNetSqlCacheDependency : ISqlCacheDependency, IAspNetCacheDependency { private string databaseConnectionName;   private string tableName;   private System.Data.SqlClient.SqlCommand sqlCommand;   #region ISqlCacheDependency Members   public ISqlCacheDependency Initialise(string databaseConnectionName, string tableName) { this.databaseConnectionName = databaseConnectionName; this.tableName = tableName; return this; }   public ISqlCacheDependency Initialise(System.Data.SqlClient.SqlCommand sqlCommand) { this.sqlCommand = sqlCommand; return this; }   #endregion   #region IAspNetCacheDependency Members   public System.Web.Caching.CacheDependency CreateAspNetCacheDependency() { if (sqlCommand != null) return new SqlCacheDependency(sqlCommand); else return new SqlCacheDependency(databaseConnectionName, tableName); }   #endregion   } }   ICacheProvider Concrete Implementation The ICacheProvider interface is implemented by the CacheProvider class. This implementation is modified to include the changes to the ICacheProvider interface. First I needed to inject the Cache Dependency Factory into the Cache Provider: private ICacheDependencyFactory cacheDependencyFactory;   public CacheProvider(ICacheDependencyFactory cacheDependencyFactory) { if (cacheDependencyFactory == null) throw new ArgumentNullException("cacheDependencyFactory");   this.cacheDependencyFactory = cacheDependencyFactory; }   Next I implemented the CreateCacheDependency method, which simply passes on the create request to the factory: public U CreateCacheDependency<U>() where U : ICacheDependency { return this.cacheDependencyFactory.Create<U>(); }   The signature of the FetchAndCache helper method was modified to take an additional IEnumerable<ICacheDependency> parameter:   private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) and the following code added to create the relevant System.Web.Caching.CacheDependency object for any dependencies and pass them to the HttpContext Cache: CacheDependency aspNetCacheDependencies = null;   if (cacheDependencies != null) { if (cacheDependencies.Count() == 1) // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aspNetCacheDependencies = ((IAspNetCacheDependency)cacheDependencies.ElementAt(0)).CreateAspNetCacheDependency(); else if (cacheDependencies.Count() > 1) { AggregateCacheDependency aggregateCacheDependency = new AggregateCacheDependency(); foreach (ICacheDependency cacheDependency in cacheDependencies) { // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aggregateCacheDependency.Add(((IAspNetCacheDependency)cacheDependency).CreateAspNetCacheDependency()); } aspNetCacheDependencies = aggregateCacheDependency; } }   HttpContext.Current.Cache.Insert(key, value, aspNetCacheDependencies, absoluteExpiry.Value, relativeExpiry.Value);   The full code listing for the modified CacheProvider class is shown below: using System; using System.Collections.Generic; using System.Linq; using System.Web; using System.Web.Caching; using CacheDiSample.Domain.CacheInterfaces;   namespace CacheDiSample.CacheProviders { public class CacheProvider<T> : ICacheProvider<T> { private ICacheDependencyFactory cacheDependencyFactory;   public CacheProvider(ICacheDependencyFactory cacheDependencyFactory) { if (cacheDependencyFactory == null) throw new ArgumentNullException("cacheDependencyFactory");   this.cacheDependencyFactory = cacheDependencyFactory; }   public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) { return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry, null); }   public T Fetch(string key, Func<T> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { return FetchAndCache<T>(key, retrieveData, absoluteExpiry, relativeExpiry, cacheDependencies); }   public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry) { return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry, null); }   public IEnumerable<T> Fetch(string key, Func<IEnumerable<T>> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { return FetchAndCache<IEnumerable<T>>(key, retrieveData, absoluteExpiry, relativeExpiry, cacheDependencies); }   public U CreateCacheDependency<U>() where U : ICacheDependency { return this.cacheDependencyFactory.Create<U>(); }   #region Helper Methods   private U FetchAndCache<U>(string key, Func<U> retrieveData, DateTime? absoluteExpiry, TimeSpan? relativeExpiry, IEnumerable<ICacheDependency> cacheDependencies) { U value; if (!TryGetValue<U>(key, out value)) { value = retrieveData(); if (!absoluteExpiry.HasValue) absoluteExpiry = Cache.NoAbsoluteExpiration;   if (!relativeExpiry.HasValue) relativeExpiry = Cache.NoSlidingExpiration;   CacheDependency aspNetCacheDependencies = null;   if (cacheDependencies != null) { if (cacheDependencies.Count() == 1) // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aspNetCacheDependencies = ((IAspNetCacheDependency)cacheDependencies.ElementAt(0)).CreateAspNetCacheDependency(); else if (cacheDependencies.Count() > 1) { AggregateCacheDependency aggregateCacheDependency = new AggregateCacheDependency(); foreach (ICacheDependency cacheDependency in cacheDependencies) { // We know that the implementations of ICacheDependency will also implement IAspNetCacheDependency // so we can use a cast here and call the CreateAspNetCacheDependency() method aggregateCacheDependency.Add( ((IAspNetCacheDependency)cacheDependency).CreateAspNetCacheDependency()); } aspNetCacheDependencies = aggregateCacheDependency; } }   HttpContext.Current.Cache.Insert(key, value, aspNetCacheDependencies, absoluteExpiry.Value, relativeExpiry.Value);   } return value; }   private bool TryGetValue<U>(string key, out U value) { object cachedValue = HttpContext.Current.Cache.Get(key); if (cachedValue == null) { value = default(U); return false; } else { try { value = (U)cachedValue; return true; } catch { value = default(U); return false; } } }   #endregion } }   Wiring up the DI Container Now the implementations for the Cache Dependency are in place, I wired them up in the existing Windsor CacheInstaller. First I needed to register the implementation of the ISqlCacheDependency interface: container.Register( Component.For<ISqlCacheDependency>() .ImplementedBy<AspNetSqlCacheDependency>() .LifestyleTransient());   Next I registered the Cache Dependency Factory. Notice that I have not implemented the ICacheDependencyFactory interface. Castle Windsor will do this for me by using the Type Factory Facility. I do need to bring the Castle.Facilities.TypedFacility namespace into scope: using Castle.Facilities.TypedFactory;   Then I registered the factory: container.AddFacility<TypedFactoryFacility>();   container.Register( Component.For<ICacheDependencyFactory>() .AsFactory()); The full code for the CacheInstaller class is: using Castle.MicroKernel.Registration; using Castle.MicroKernel.SubSystems.Configuration; using Castle.Windsor; using Castle.Facilities.TypedFactory;   using CacheDiSample.Domain.CacheInterfaces; using CacheDiSample.CacheProviders;   namespace CacheDiSample.WindsorInstallers { public class CacheInstaller : IWindsorInstaller { public void Install(IWindsorContainer container, IConfigurationStore store) { container.Register( Component.For(typeof(ICacheProvider<>)) .ImplementedBy(typeof(CacheProvider<>)) .LifestyleTransient());   container.Register( Component.For<ISqlCacheDependency>() .ImplementedBy<AspNetSqlCacheDependency>() .LifestyleTransient());   container.AddFacility<TypedFactoryFacility>();   container.Register( Component.For<ICacheDependencyFactory>() .AsFactory()); } } }   Configuring the ASP.NET SQL Cache Dependency There are a couple of configuration steps required to enable SQL Cache Dependency for the application and database. From the Visual Studio Command Prompt, the following commands should be used to enable the Cache Polling of the relevant database tables: aspnet_regsql -S <servername> -E -d <databasename> –ed aspnet_regsql -S <servername> -E -d CacheSample –et –t <tablename>   (The –t option should be repeated for each table that is to be made available for cache dependencies). Finally the SQL Cache Polling needs to be enabled by adding the following configuration to the <system.web> section of web.config: <caching> <sqlCacheDependency pollTime="10000" enabled="true"> <databases> <add name="BloggingContext" connectionStringName="BloggingContext"/> </databases> </sqlCacheDependency> </caching>   (obviously the name and connection string name should be altered as required). Using a SQL Cache Dependency Now all the coding is complete. To specify a SQL Cache Dependency, I can modify my BlogRepositoryWithCaching decorator class (see the earlier post) as follows: public IList<Blog> GetAll() { var sqlCacheDependency = cacheProvider.CreateCacheDependency<ISqlCacheDependency>() .Initialise("BloggingContext", "Blogs");   ICacheDependency[] cacheDependencies = new ICacheDependency[] { sqlCacheDependency };   string key = string.Format("CacheDiSample.DataAccess.GetAll");   return cacheProvider.Fetch(key, () => { return parentBlogRepository.GetAll(); }, null, null, cacheDependencies) .ToList(); }   This will add a dependency of the “Blogs” table in the database. The data will remain in the cache until the contents of this table change, then the cache item will be invalidated, and the next call to the GetAll() repository method will be routed to the parent repository to refresh the data from the database.

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  • Recommendations for distributed processing/distributed storage systems

    - by Eddie
    At my organization we have a processing and storage system spread across two dozen linux machines that handles over a petabyte of data. The system right now is very ad-hoc; processing automation and data management is handled by a collection of large perl programs on independent machines. I am looking at distributed processing and storage systems to make it easier to maintain, evenly distribute load and data with replication, and grow in disk space and compute power. The system needs to be able to handle millions of files, varying in size between 50 megabytes to 50 gigabytes. Once created, the files will not be appended to, only replaced completely if need be. The files need to be accessible via HTTP for customer download. Right now, processing is automated by perl scripts (that I have complete control over) which call a series of other programs (that I don't have control over because they are closed source) that essentially transforms one data set into another. No data mining happening here. Here is a quick list of things I am looking for: Reliability: These data must be accessible over HTTP about 99% of the time so I need something that does data replication across the cluster. Scalability: I want to be able to add more processing power and storage easily and rebalance the data on across the cluster. Distributed processing: Easy and automatic job scheduling and load balancing that fits with processing workflow I briefly described above. Data location awareness: Not strictly required but desirable. Since data and processing will be on the same set of nodes I would like the job scheduler to schedule jobs on or close to the node that the data is actually on to cut down on network traffic. Here is what I've looked at so far: Storage Management: GlusterFS: Looks really nice and easy to use but doesn't seem to have a way to figure out what node(s) a file actually resides on to supply as a hint to the job scheduler. GPFS: Seems like the gold standard of clustered filesystems. Meets most of my requirements except, like glusterfs, data location awareness. Ceph: Seems way to immature right now. Distributed processing: Sun Grid Engine: I have a lot of experience with this and it's relatively easy to use (once it is configured properly that is). But Oracle got its icy grip around it and it no longer seems very desirable. Both: Hadoop/HDFS: At first glance it looked like hadoop was perfect for my situation. Distributed storage and job scheduling and it was the only thing I found that would give me the data location awareness that I wanted. But I don't like the namename being a single point of failure. Also, I'm not really sure if the MapReduce paradigm fits the type of processing workflow that I have. It seems like you need to write all your software specifically for MapReduce instead of just using Hadoop as a generic job scheduler. OpenStack: I've done some reading on this but I'm having trouble deciding if it fits well with my problem or not. Does anyone have opinions or recommendations for technologies that would fit my problem well? Any suggestions or advise would be greatly appreciated. Thanks!

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  • Synchronizing local and remote cache in distributed caching

    - by ltfishie
    With a distributed cache, a subset of the cache is kept locally while the rest is held remotely. In a get operation, if the entry is not available locally, the remote cache will be used and and the entry is added to local cache. In a put operation, both the local cache and remote cache are updated. Other nodes in the cluster also need to be notified to invalidate their local cache as well. What's a simplest way to achieve this if you implemented it yourself, assuming that nodes are not aware of each other. Edit My current implementation goes like this: Each cache entry contains a time stamp. Put operation will update local cache and remote cache Get operation will try local cache then remote cache A background thread on each node will check remote cache periodically for each entry in local cache. If the timestamp on remote is newer overwrite the local. If entry is not found in remote, delete it from local.

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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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  • Building a Redundant / Distributed Application

    - by MattW
    This is more of a "point me in the right direction" question. My team of three and I have built a hosted web app that queues and routes customer chat requests to available customer service agents (It does other things as well, but this is enough background to illustrate the issue). The basic dev architecture today is: a single page ajax web UI (ASP.NET MVC) with floating chat windows (think Gmail) a backend Windows service to queue and route the chat requests this service also logs the chats, calculates service levels, etc a Comet server product that routes data between the web frontend and the backend Windows service this also helps us detect which Agents are still connected (online) And our hardware architecture today is: 2 servers to host the web UI portion of the application a load balancer to route requests to the 2 different web app servers a third server to host the SQL Server DB and the backend Windows service responsible for queuing / delivering chats So as it stands today, one of the web app servers could go down and we would be ok. However, if something would happen to the SQL Server / Windows Service server we would be boned. My question - how can I make this backend Windows service logic be able to be spread across multiple machines (distributed)? The Windows service is written to accept requests from the Comet server, check for available Agents, and route the chat to those agents. How can I make this more distributed? How can I make it so that I can distribute the work of the backend Windows service can be spread across multiple machines for redundancy and uptime purposes? Will I need to re-write it with distributed computing in mind? I should also note that I am hosting all of this on Rackspace Cloud instances - so maybe it is something I should be less concerned about? Thanks in advance for any help!

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  • How to remove a package entirely?

    - by maria
    Hi I'm quite new to Linux, but before using it I was hearing that Windows programs, after uninstallation, leaves a lot of remains on the hard disc, and Linux removes all. I'm using Ubuntu 10.04. To uninstall packages I'm using sudo apt-get autoremove application_name or sudo aptitude purge application_name. Recently I have installed texlive-full and for some reasons I had quickly to uninstall it. After I've entered to terminal updatedb, then locate *texlive* and the output was very long: maria@marysia-ubuntu:~$ locate *texlive* /etc/texmf/fmt.d/10texlive-base.cnf /etc/texmf/fmt.d/10texlive-formats-extra.cnf /etc/texmf/fmt.d/10texlive-lang-cyrillic.cnf /etc/texmf/fmt.d/10texlive-lang-czechslovak.cnf /etc/texmf/fmt.d/10texlive-lang-polish.cnf /etc/texmf/fmt.d/10texlive-latex-base.cnf /etc/texmf/fmt.d/10texlive-math-extra.cnf /etc/texmf/fmt.d/10texlive-metapost.cnf /etc/texmf/fmt.d/10texlive-omega.cnf /etc/texmf/fmt.d/10texlive-xetex.cnf /etc/texmf/hyphen.d/09texlive-base.cnf /etc/texmf/hyphen.d/10texlive-lang-arabic.cnf /etc/texmf/hyphen.d/10texlive-lang-croatian.cnf /etc/texmf/hyphen.d/10texlive-lang-cyrillic.cnf /etc/texmf/hyphen.d/10texlive-lang-czechslovak.cnf /etc/texmf/hyphen.d/10texlive-lang-danish.cnf /etc/texmf/hyphen.d/10texlive-lang-dutch.cnf /etc/texmf/hyphen.d/10texlive-lang-finnish.cnf /etc/texmf/hyphen.d/10texlive-lang-french.cnf /etc/texmf/hyphen.d/10texlive-lang-german.cnf /etc/texmf/hyphen.d/10texlive-lang-greek.cnf /etc/texmf/hyphen.d/10texlive-lang-hungarian.cnf /etc/texmf/hyphen.d/10texlive-lang-indic.cnf /etc/texmf/hyphen.d/10texlive-lang-italian.cnf /etc/texmf/hyphen.d/10texlive-lang-latin.cnf /etc/texmf/hyphen.d/10texlive-lang-latvian.cnf /etc/texmf/hyphen.d/10texlive-lang-lithuanian.cnf /etc/texmf/hyphen.d/10texlive-lang-mongolian.cnf /etc/texmf/hyphen.d/10texlive-lang-norwegian.cnf /etc/texmf/hyphen.d/10texlive-lang-other.cnf /etc/texmf/hyphen.d/10texlive-lang-polish.cnf /etc/texmf/hyphen.d/10texlive-lang-portuguese.cnf /etc/texmf/hyphen.d/10texlive-lang-spanish.cnf /etc/texmf/hyphen.d/10texlive-lang-swedish.cnf /etc/texmf/hyphen.d/10texlive-lang-ukenglish.cnf /etc/texmf/updmap.d/10texlive-base.cfg /etc/texmf/updmap.d/10texlive-fonts-extra.cfg /etc/texmf/updmap.d/10texlive-fonts-recommended.cfg /etc/texmf/updmap.d/10texlive-games.cfg /etc/texmf/updmap.d/10texlive-lang-african.cfg /etc/texmf/updmap.d/10texlive-lang-arabic.cfg /etc/texmf/updmap.d/10texlive-lang-cyrillic.cfg /etc/texmf/updmap.d/10texlive-lang-czechslovak.cfg /etc/texmf/updmap.d/10texlive-lang-french.cfg /etc/texmf/updmap.d/10texlive-lang-greek.cfg /etc/texmf/updmap.d/10texlive-lang-hebrew.cfg /etc/texmf/updmap.d/10texlive-lang-indic.cfg /etc/texmf/updmap.d/10texlive-lang-lithuanian.cfg /etc/texmf/updmap.d/10texlive-lang-mongolian.cfg /etc/texmf/updmap.d/10texlive-lang-polish.cfg /etc/texmf/updmap.d/10texlive-lang-vietnamese.cfg /etc/texmf/updmap.d/10texlive-latex-base.cfg /etc/texmf/updmap.d/10texlive-latex-extra.cfg /etc/texmf/updmap.d/10texlive-math-extra.cfg /etc/texmf/updmap.d/10texlive-omega.cfg /etc/texmf/updmap.d/10texlive-pictures.cfg /etc/texmf/updmap.d/10texlive-science.cfg /var/cache/apt/archives/texlive-base_2009-7_all.deb /var/cache/apt/archives/texlive-bibtex-extra_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-binaries_2009-5ubuntu0.2_i386.deb /var/cache/apt/archives/texlive-common_2009-7_all.deb /var/cache/apt/archives/texlive-doc-base_2009-2_all.deb /var/cache/apt/archives/texlive-doc-bg_2009-2_all.deb /var/cache/apt/archives/texlive-doc-cs+sk_2009-2_all.deb /var/cache/apt/archives/texlive-doc-de_2009-2_all.deb /var/cache/apt/archives/texlive-doc-en_2009-2_all.deb /var/cache/apt/archives/texlive-doc-es_2009-2_all.deb /var/cache/apt/archives/texlive-doc-fi_2009-2_all.deb /var/cache/apt/archives/texlive-doc-fr_2009-2_all.deb /var/cache/apt/archives/texlive-doc-it_2009-2_all.deb /var/cache/apt/archives/texlive-doc-ja_2009-2_all.deb /var/cache/apt/archives/texlive-doc-ko_2009-2_all.deb /var/cache/apt/archives/texlive-doc-mn_2009-2_all.deb /var/cache/apt/archives/texlive-doc-nl_2009-2_all.deb /var/cache/apt/archives/texlive-doc-pl_2009-2_all.deb /var/cache/apt/archives/texlive-doc-pt_2009-2_all.deb /var/cache/apt/archives/texlive-doc-ru_2009-2_all.deb /var/cache/apt/archives/texlive-doc-si_2009-2_all.deb /var/cache/apt/archives/texlive-doc-th_2009-2_all.deb /var/cache/apt/archives/texlive-doc-tr_2009-2_all.deb /var/cache/apt/archives/texlive-doc-uk_2009-2_all.deb /var/cache/apt/archives/texlive-doc-vi_2009-2_all.deb /var/cache/apt/archives/texlive-doc-zh_2009-2_all.deb /var/cache/apt/archives/texlive-extra-utils_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-font-utils_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-fonts-extra-doc_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-fonts-extra_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-fonts-recommended-doc_2009-7_all.deb /var/cache/apt/archives/texlive-fonts-recommended_2009-7_all.deb /var/cache/apt/archives/texlive-formats-extra_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-full_2009-7_all.deb /var/cache/apt/archives/texlive-games_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-generic-extra_2009-7ubuntu3_all.deb /var/cache/apt/archives/texlive-generic-recommended_2009-7_all.deb 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/var/lib/dpkg/info/texlive-luatex.list /var/lib/dpkg/info/texlive-luatex.postrm /var/lib/dpkg/info/texlive-math-extra.list /var/lib/dpkg/info/texlive-math-extra.postrm /var/lib/dpkg/info/texlive-metapost-doc.list /var/lib/dpkg/info/texlive-metapost-doc.postrm /var/lib/dpkg/info/texlive-metapost.list /var/lib/dpkg/info/texlive-metapost.postrm /var/lib/dpkg/info/texlive-music.list /var/lib/dpkg/info/texlive-music.postrm /var/lib/dpkg/info/texlive-omega.list /var/lib/dpkg/info/texlive-omega.postrm /var/lib/dpkg/info/texlive-pictures-doc.list /var/lib/dpkg/info/texlive-pictures-doc.postrm /var/lib/dpkg/info/texlive-pictures.list /var/lib/dpkg/info/texlive-pictures.postrm /var/lib/dpkg/info/texlive-plain-extra.list /var/lib/dpkg/info/texlive-plain-extra.postrm /var/lib/dpkg/info/texlive-pstricks-doc.list /var/lib/dpkg/info/texlive-pstricks-doc.postrm /var/lib/dpkg/info/texlive-pstricks.list /var/lib/dpkg/info/texlive-pstricks.postrm /var/lib/dpkg/info/texlive-publishers-doc.list /var/lib/dpkg/info/texlive-publishers-doc.postrm /var/lib/dpkg/info/texlive-publishers.list /var/lib/dpkg/info/texlive-publishers.postrm /var/lib/dpkg/info/texlive-science-doc.list /var/lib/dpkg/info/texlive-science-doc.postrm /var/lib/dpkg/info/texlive-science.list /var/lib/dpkg/info/texlive-science.postrm /var/lib/dpkg/info/texlive-xetex.list /var/lib/dpkg/info/texlive-xetex.postrm maria@marysia-ubuntu:~$ I've used sudo apt-get autoclean without any change. I've installed deborphan and it showed nothing (maybe I've used it in wrong way: just entered command deborphan). Am I doing something wrong or I was told something which is not true? I would like to know two things: how to remove packages (if I'm doing it in wrong way) and how to clean hard disc from remains of all packages I've uninstalled till now (even if I don't remember what it was exactly). I have Ubuntu Tweak installed but I don't know how to use it and I think I prefere terminal commnands. Thanks

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  • LVM / Device Mapper maps wrong device

    - by DaDaDom
    Hi, I run a LVM setup on a raid1 created by mdadm. md2 is based on sda6 (major:minor 8:6) and sdb6 (8:22). md2 is partition 9:2. The VG on top of md2 has 4 LVs, var, home, usr, tmp. First the problem: While booting it seems as if the device mapper takes the wrong partition for the mapping! Immediately after boot the information is like ~# dmsetup table systemlvm-home: 0 4194304 linear 8:22 384 systemlvm-home: 4194304 16777216 linear 8:22 69206400 systemlvm-home: 20971520 8388608 linear 8:22 119538048 systemlvm-home: 29360128 6291456 linear 8:22 243270016 systemlvm-tmp: 0 2097152 linear 8:22 41943424 systemlvm-usr: 0 10485760 linear 8:22 20971904 systemlvm-var: 0 10485760 linear 8:22 10486144 systemlvm-var: 10485760 6291456 linear 8:22 4194688 systemlvm-var: 16777216 4194304 linear 8:22 44040576 systemlvm-var: 20971520 10485760 linear 8:22 31457664 systemlvm-var: 31457280 20971520 linear 8:22 48234880 systemlvm-var: 52428800 33554432 linear 8:22 85983616 systemlvm-var: 85983232 115343360 linear 8:22 127926656 ~# cat /proc/mdstat Personalities : [raid1] md2 : active (auto-read-only) raid1 sda6[0] 151798080 blocks [2/1] [U_] md0 : active raid1 sda1[0] sdb1[1] 96256 blocks [2/2] [UU] md1 : active raid1 sda2[0] sdb2[1] 2931776 blocks [2/2] [UU] I have to manually "lvchange -an" all LVs, add /dev/sdb6 back to the raid and reactivate the LVs, then all is fine. But it prevents me from automounting the partitions and obviously leads to a bunch of other problems. If everything works fine, the information is like ~$ cat /proc/mdstat Personalities : [raid1] md2 : active raid1 sdb6[1] sda6[0] 151798080 blocks [2/2] [UU] ... ~# dmsetup table systemlvm-home: 0 4194304 linear 9:2 384 systemlvm-home: 4194304 16777216 linear 9:2 69206400 systemlvm-home: 20971520 8388608 linear 9:2 119538048 systemlvm-home: 29360128 6291456 linear 9:2 243270016 systemlvm-tmp: 0 2097152 linear 9:2 41943424 systemlvm-usr: 0 10485760 linear 9:2 20971904 systemlvm-var: 0 10485760 linear 9:2 10486144 systemlvm-var: 10485760 6291456 linear 9:2 4194688 systemlvm-var: 16777216 4194304 linear 9:2 44040576 systemlvm-var: 20971520 10485760 linear 9:2 31457664 systemlvm-var: 31457280 20971520 linear 9:2 48234880 systemlvm-var: 52428800 33554432 linear 9:2 85983616 systemlvm-var: 85983232 115343360 linear 9:2 127926656 I think that LVM for some reason just "takes" /dev/sdb6 which is then missing in the raid. I tried almost all options in the lvm.conf but none seems to work. Below is some more information, like config files. Does anyone have any idea about what is going on here and how to prevent that? If you need any additional information, please let me know Thanks in advance! Dominik The information (off a "repaired" system): ~# cat /etc/debian_version 5.0.4 ~# uname -a Linux kermit 2.6.26-2-686 #1 SMP Wed Feb 10 08:59:21 UTC 2010 i686 GNU/Linux ~# lvm version LVM version: 2.02.39 (2008-06-27) Library version: 1.02.27 (2008-06-25) Driver version: 4.13.0 ~# cat /etc/mdadm/mdadm.conf DEVICE partitions ARRAY /dev/md1 level=raid1 num-devices=2 metadata=00.90 UUID=11e9dc6c:1da99f3f:b3088ca6:c6fe60e9 ARRAY /dev/md0 level=raid1 num-devices=2 metadata=00.90 UUID=92ed1e4b:897361d3:070682b3:3baa4fa1 ARRAY /dev/md2 level=raid1 num-devices=2 metadata=00.90 UUID=601d4642:39dc80d7:96e8bbac:649924ba ~# mount /dev/md1 on / type ext3 (rw,errors=remount-ro) tmpfs on /lib/init/rw type tmpfs (rw,nosuid,mode=0755) proc on /proc type proc (rw,noexec,nosuid,nodev) sysfs on /sys type sysfs (rw,noexec,nosuid,nodev) procbususb on /proc/bus/usb type usbfs (rw) udev on /dev type tmpfs (rw,mode=0755) tmpfs on /dev/shm type tmpfs (rw,nosuid,nodev) devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=620) /dev/md0 on /boot type ext3 (rw) /dev/mapper/systemlvm-usr on /usr type reiserfs (rw) /dev/mapper/systemlvm-tmp on /tmp type reiserfs (rw) /dev/mapper/systemlvm-home on /home type reiserfs (rw) /dev/mapper/systemlvm-var on /var type reiserfs (rw) ~# grep -v ^$ /etc/lvm/lvm.conf | grep -v "#" devices { dir = "/dev" scan = [ "/dev" ] preferred_names = [ ] filter = [ "a|/dev/md.*|", "r/.*/" ] cache_dir = "/etc/lvm/cache" cache_file_prefix = "" write_cache_state = 1 sysfs_scan = 1 md_component_detection = 1 ignore_suspended_devices = 0 } log { verbose = 0 syslog = 1 overwrite = 0 level = 0 indent = 1 command_names = 0 prefix = " " } backup { backup = 1 backup_dir = "/etc/lvm/backup" archive = 1 archive_dir = "/etc/lvm/archive" retain_min = 10 retain_days = 30 } shell { history_size = 100 } global { umask = 077 test = 0 units = "h" activation = 1 proc = "/proc" locking_type = 1 fallback_to_clustered_locking = 1 fallback_to_local_locking = 1 locking_dir = "/lib/init/rw" } activation { missing_stripe_filler = "/dev/ioerror" reserved_stack = 256 reserved_memory = 8192 process_priority = -18 mirror_region_size = 512 readahead = "auto" mirror_log_fault_policy = "allocate" mirror_device_fault_policy = "remove" } :~# vgscan -vvv Processing: vgscan -vvv O_DIRECT will be used Setting global/locking_type to 1 File-based locking selected. Setting global/locking_dir to /lib/init/rw Locking /lib/init/rw/P_global WB Wiping cache of LVM-capable devices /dev/block/1:0: Added to device cache /dev/block/1:1: Added to device cache /dev/block/1:10: Added to device cache /dev/block/1:11: Added to device cache /dev/block/1:12: Added to device cache /dev/block/1:13: Added to device cache /dev/block/1:14: Added to device cache /dev/block/1:15: Added to device cache /dev/block/1:2: Added to device cache /dev/block/1:3: Added to device cache /dev/block/1:4: Added to device cache /dev/block/1:5: Added to device cache /dev/block/1:6: Added to device cache /dev/block/1:7: Added to device cache /dev/block/1:8: Added to device cache /dev/block/1:9: Added to device cache /dev/block/253:0: Added to device cache /dev/block/253:1: Added to device cache /dev/block/253:2: Added to device cache /dev/block/253:3: Added to device cache /dev/block/8:0: Added to device cache /dev/block/8:1: Added to device cache /dev/block/8:16: Added to device cache /dev/block/8:17: Added to device cache /dev/block/8:18: Added to device cache /dev/block/8:19: Added to device cache /dev/block/8:2: Added to device cache /dev/block/8:21: Added to device cache /dev/block/8:22: Added to device cache /dev/block/8:3: Added to device cache /dev/block/8:5: Added to device cache /dev/block/8:6: Added to device cache /dev/block/9:0: Already in device cache /dev/block/9:1: Already in device cache /dev/block/9:2: Already in device cache /dev/bsg/0:0:0:0: Not a block device /dev/bsg/1:0:0:0: Not a block device /dev/bus/usb/001/001: Not a block device [... many more "not a block device"] /dev/core: Not a block device /dev/cpu_dma_latency: Not a block device /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/ata-SAMSUNG_HD160JJ_S08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-id/dm-name-systemlvm-home: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/dm-name-systemlvm-tmp: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-name-systemlvm-usr: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-name-systemlvm-var: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr25N7CRZpUMzR18NfS6zeSeAVnVT98LuU: Aliased to /dev/block/253:0 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr3TpFXtLjYGEwn79IdXsSCZPl8AxmqbmQ: Aliased to /dev/block/253:1 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrc5MJ4KolevMjt85PPBrQuRTkXbx6NvTi: Aliased to /dev/block/253:3 in device cache /dev/disk/by-id/dm-uuid-LVM-rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvrYXrfdg5OSYDVkNeiQeQksgCI849Z2hx8: Aliased to /dev/block/253:2 in device cache /dev/disk/by-id/md-uuid-11e9dc6c:1da99f3f:b3088ca6:c6fe60e9: Already in device cache /dev/disk/by-id/md-uuid-601d4642:39dc80d7:96e8bbac:649924ba: Already in device cache /dev/disk/by-id/md-uuid-92ed1e4b:897361d3:070682b3:3baa4fa1: Already in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895: Aliased to /dev/block/8:16 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L507895-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800: Aliased to /dev/block/8:0 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-id/scsi-SATA_SAMSUNG_HD160JJS08HJ10L526800-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0: Aliased to /dev/block/8:0 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part1: Aliased to /dev/block/8:1 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part2: Aliased to /dev/block/8:2 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part3: Aliased to /dev/block/8:3 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part5: Aliased to /dev/block/8:5 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-0:0:0:0-part6: Aliased to /dev/block/8:6 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0: Aliased to /dev/block/8:16 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part1: Aliased to /dev/block/8:17 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part2: Aliased to /dev/block/8:18 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part3: Aliased to /dev/block/8:19 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part5: Aliased to /dev/block/8:21 in device cache /dev/disk/by-path/pci-0000:00:0f.0-scsi-1:0:0:0-part6: Aliased to /dev/block/8:22 in device cache /dev/disk/by-uuid/13c1262b-e06f-40ce-b088-ce410640a6dc: Aliased to /dev/block/253:3 in device cache /dev/disk/by-uuid/379f57b0-2e03-414c-808a-f76160617336: Aliased to /dev/block/253:2 in device cache /dev/disk/by-uuid/4fb2d6d3-bd51-48d3-95ee-8e404faf243d: Already in device cache /dev/disk/by-uuid/5c6728ec-82c1-49c0-93c5-f6dbd5c0d659: Aliased to /dev/block/8:5 in device cache /dev/disk/by-uuid/a13cdfcd-2191-4185-a727-ffefaf7a382e: Aliased to /dev/block/253:1 in device cache /dev/disk/by-uuid/e0d5893d-ff88-412f-b753-9e3e9af3242d: Aliased to /dev/block/8:21 in device cache /dev/disk/by-uuid/e79c9da6-8533-4e55-93ec-208876671edc: Aliased to /dev/block/253:0 in device cache /dev/disk/by-uuid/f3f176f5-12f7-4af8-952a-c6ac43a6e332: Already in device cache /dev/dm-0: Aliased to /dev/block/253:0 in device cache (preferred name) /dev/dm-1: Aliased to /dev/block/253:1 in device cache (preferred name) /dev/dm-2: Aliased to /dev/block/253:2 in device cache (preferred name) /dev/dm-3: Aliased to /dev/block/253:3 in device cache (preferred name) /dev/fd: Symbolic link to directory /dev/full: Not a block device /dev/hpet: Not a block device /dev/initctl: Not a block device /dev/input/by-path/platform-i8042-serio-0-event-kbd: Not a block device /dev/input/event0: Not a block device /dev/input/mice: Not a block device /dev/kmem: Not a block device /dev/kmsg: Not a block device /dev/log: Not a block device /dev/loop/0: Added to device cache /dev/MAKEDEV: Not a block device /dev/mapper/control: Not a block device /dev/mapper/systemlvm-home: Aliased to /dev/dm-2 in device cache /dev/mapper/systemlvm-tmp: Aliased to /dev/dm-3 in device cache /dev/mapper/systemlvm-usr: Aliased to /dev/dm-1 in device cache /dev/mapper/systemlvm-var: Aliased to /dev/dm-0 in device cache /dev/md0: Already in device cache /dev/md1: Already in device cache /dev/md2: Already in device cache /dev/mem: Not a block device /dev/net/tun: Not a block device /dev/network_latency: Not a block device /dev/network_throughput: Not a block device /dev/null: Not a block device /dev/port: Not a block device /dev/ppp: Not a block device /dev/psaux: Not a block device /dev/ptmx: Not a block device /dev/pts/0: Not a block device /dev/ram0: Aliased to /dev/block/1:0 in device cache (preferred name) /dev/ram1: Aliased to /dev/block/1:1 in device cache (preferred name) /dev/ram10: Aliased to /dev/block/1:10 in device cache (preferred name) /dev/ram11: Aliased to /dev/block/1:11 in device cache (preferred name) /dev/ram12: Aliased to /dev/block/1:12 in device cache (preferred name) /dev/ram13: Aliased to /dev/block/1:13 in device cache (preferred name) /dev/ram14: Aliased to /dev/block/1:14 in device cache (preferred name) /dev/ram15: Aliased to /dev/block/1:15 in device cache (preferred name) /dev/ram2: Aliased to /dev/block/1:2 in device cache (preferred name) /dev/ram3: Aliased to /dev/block/1:3 in device cache (preferred name) /dev/ram4: Aliased to /dev/block/1:4 in device cache (preferred name) /dev/ram5: Aliased to /dev/block/1:5 in device cache (preferred name) /dev/ram6: Aliased to /dev/block/1:6 in device cache (preferred name) /dev/ram7: Aliased to /dev/block/1:7 in device cache (preferred name) /dev/ram8: Aliased to /dev/block/1:8 in device cache (preferred name) /dev/ram9: Aliased to /dev/block/1:9 in device cache (preferred name) /dev/random: Not a block device /dev/root: Already in device cache /dev/rtc: Not a block device /dev/rtc0: Not a block device /dev/sda: Aliased to /dev/block/8:0 in device cache (preferred name) /dev/sda1: Aliased to /dev/block/8:1 in device cache (preferred name) /dev/sda2: Aliased to /dev/block/8:2 in device cache (preferred name) /dev/sda3: Aliased to /dev/block/8:3 in device cache (preferred name) /dev/sda5: Aliased to /dev/block/8:5 in device cache (preferred name) /dev/sda6: Aliased to /dev/block/8:6 in device cache (preferred name) /dev/sdb: Aliased to /dev/block/8:16 in device cache (preferred name) /dev/sdb1: Aliased to /dev/block/8:17 in device cache (preferred name) /dev/sdb2: Aliased to /dev/block/8:18 in device cache (preferred name) /dev/sdb3: Aliased to /dev/block/8:19 in device cache (preferred name) /dev/sdb5: Aliased to /dev/block/8:21 in device cache (preferred name) /dev/sdb6: Aliased to /dev/block/8:22 in device cache (preferred name) /dev/shm/network/ifstate: Not a block device /dev/snapshot: Not a block device /dev/sndstat: stat failed: Datei oder Verzeichnis nicht gefunden /dev/stderr: Not a block device /dev/stdin: Not a block device /dev/stdout: Not a block device /dev/systemlvm/home: Aliased to /dev/dm-2 in device cache /dev/systemlvm/tmp: Aliased to /dev/dm-3 in device cache /dev/systemlvm/usr: Aliased to /dev/dm-1 in device cache /dev/systemlvm/var: Aliased to /dev/dm-0 in device cache /dev/tty: Not a block device /dev/tty0: Not a block device [... many more "not a block device"] /dev/vcsa6: Not a block device /dev/xconsole: Not a block device /dev/zero: Not a block device Wiping internal VG cache lvmcache: initialised VG #orphans_lvm1 lvmcache: initialised VG #orphans_pool lvmcache: initialised VG #orphans_lvm2 Reading all physical volumes. This may take a while... Finding all volume groups /dev/ram0: Skipping (regex) /dev/loop/0: Skipping (sysfs) /dev/sda: Skipping (regex) Opened /dev/md0 RO /dev/md0: size is 192512 sectors Closed /dev/md0 /dev/md0: size is 192512 sectors Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes Closed /dev/md0 Using /dev/md0 Opened /dev/md0 RW O_DIRECT /dev/md0: block size is 1024 bytes /dev/md0: No label detected Closed /dev/md0 /dev/dm-0: Skipping (regex) /dev/ram1: Skipping (regex) /dev/sda1: Skipping (regex) Opened /dev/md1 RO /dev/md1: size is 5863552 sectors Closed /dev/md1 /dev/md1: size is 5863552 sectors Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes Closed /dev/md1 Using /dev/md1 Opened /dev/md1 RW O_DIRECT /dev/md1: block size is 4096 bytes /dev/md1: No label detected Closed /dev/md1 /dev/dm-1: Skipping (regex) /dev/ram2: Skipping (regex) /dev/sda2: Skipping (regex) Opened /dev/md2 RO /dev/md2: size is 303596160 sectors Closed /dev/md2 /dev/md2: size is 303596160 sectors Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes Closed /dev/md2 Using /dev/md2 Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Closed /dev/md2 /dev/dm-2: Skipping (regex) /dev/ram3: Skipping (regex) /dev/sda3: Skipping (regex) /dev/dm-3: Skipping (regex) /dev/ram4: Skipping (regex) /dev/ram5: Skipping (regex) /dev/sda5: Skipping (regex) /dev/ram6: Skipping (regex) /dev/sda6: Skipping (regex) /dev/ram7: Skipping (regex) /dev/ram8: Skipping (regex) /dev/ram9: Skipping (regex) /dev/ram10: Skipping (regex) /dev/ram11: Skipping (regex) /dev/ram12: Skipping (regex) /dev/ram13: Skipping (regex) /dev/ram14: Skipping (regex) /dev/ram15: Skipping (regex) /dev/sdb: Skipping (regex) /dev/sdb1: Skipping (regex) /dev/sdb2: Skipping (regex) /dev/sdb3: Skipping (regex) /dev/sdb5: Skipping (regex) /dev/sdb6: Skipping (regex) Locking /lib/init/rw/V_systemlvm RB Finding volume group "systemlvm" Opened /dev/md2 RW O_DIRECT /dev/md2: block size is 4096 bytes /dev/md2: lvm2 label detected lvmcache: /dev/md2: now in VG #orphans_lvm2 (#orphans_lvm2) with 1 mdas /dev/md2: Found metadata at 39936 size 2632 (in area at 2048 size 194560) for systemlvm (rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr) lvmcache: /dev/md2: now in VG systemlvm with 1 mdas lvmcache: /dev/md2: setting systemlvm VGID to rL8Oq2dA7oeRYeu1orJA7Ufnb1kjOyvr lvmcache: /dev/md2: VG systemlvm: Set creation host to rescue. Using cached label for /dev/md2 Read systemlvm metadata (19) from /dev/md2 at 39936 size 2632 /dev/md2 0: 0 16: home(0:0) /dev/md2 1: 16 24: var(40:0) /dev/md2 2: 40 40: var(0:0) /dev/md2 3: 80 40: usr(0:0) /dev/md2 4: 120 40: var(80:0) /dev/md2 5: 160 8: tmp(0:0) /dev/md2 6: 168 16: var(64:0) /dev/md2 7: 184 80: var(120:0) /dev/md2 8: 264 64: home(16:0) /dev/md2 9: 328 128: var(200:0) /dev/md2 10: 456 32: home(80:0) /dev/md2 11: 488 440: var(328:0) /dev/md2 12: 928 24: home(112:0) /dev/md2 13: 952 206: NULL(0:0) Found volume group "systemlvm" using metadata type lvm2 Read volume group systemlvm from /etc/lvm/backup/systemlvm Unlocking /lib/init/rw/V_systemlvm Closed /dev/md2 Unlocking /lib/init/rw/P_global ~# vgdisplay --- Volume group --- VG Name systemlvm System ID Format lvm2 Metadata Areas 1 Metadata Sequence No 19 VG Access read/write VG Status resizable MAX LV 0 Cur LV 4 Open LV 4 Max PV 0 Cur PV 1 Act PV 1 VG Size 144,75 GB PE Size 128,00 MB Total PE 1158 Alloc PE / Size 952 / 119,00 GB Free PE / Size 206 / 25,75 GB VG UUID rL8Oq2-dA7o-eRYe-u1or-JA7U-fnb1-kjOyvr ~# pvdisplay --- Physical volume --- PV Name /dev/md2 VG Name systemlvm PV Size 144,77 GB / not usable 16,31 MB Allocatable yes PE Size (KByte) 131072 Total PE 1158 Free PE 206 Allocated PE 952 PV UUID ZSAzP5-iBvr-L7jy-wB8T-AiWz-0g3m-HLK66Y :~# lvdisplay --- Logical volume --- LV Name /dev/systemlvm/home VG Name systemlvm LV UUID YXrfdg-5OSY-DVkN-eiQe-Qksg-CI84-9Z2hx8 LV Write Access read/write LV Status available # open 2 LV Size 17,00 GB Current LE 136 Segments 4 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:2 --- Logical volume --- LV Name /dev/systemlvm/var VG Name systemlvm LV UUID 25N7CR-ZpUM-zR18-NfS6-zeSe-AVnV-T98LuU LV Write Access read/write LV Status available # open 2 LV Size 96,00 GB Current LE 768 Segments 7 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:0 --- Logical volume --- LV Name /dev/systemlvm/usr VG Name systemlvm LV UUID 3TpFXt-LjYG-Ewn7-9IdX-sSCZ-Pl8A-xmqbmQ LV Write Access read/write LV Status available # open 2 LV Size 5,00 GB Current LE 40 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:1 --- Logical volume --- LV Name /dev/systemlvm/tmp VG Name systemlvm LV UUID c5MJ4K-olev-Mjt8-5PPB-rQuR-TkXb-x6NvTi LV Write Access read/write LV Status available # open 2 LV Size 1,00 GB Current LE 8 Segments 1 Allocation inherit Read ahead sectors auto - currently set to 256 Block device 253:3

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  • Distributed storage and computing

    - by Tim van Elteren
    Dear Serverfault community, After researching a number of distributed file systems for deployment in a production environment with the main purpose of performing both batch and real-time distributed computing I've identified the following list as potential candidates, mainly on maturity, license and support: Ceph Lustre GlusterFS HDFS FhGFS MooseFS XtreemFS The key properties that our system should exhibit: an open source, liberally licensed, yet production ready, e.g. a mature, reliable, community and commercially supported solution; ability to run on commodity hardware, preferably be designed for it; provide high availability of the data with the most focus on reads; high scalability, so operation over multiple data centres, possibly on a global scale; removal of single points of failure with the use of replication and distribution of (meta-)data, e.g. provide fault-tolerance. The sensitivity points that were identified, and resulted in the following questions, are: transparency to the processing layer / application with respect to data locality, e.g. know where data is physically located on a server level, mainly for resource allocation and fast processing, high performance, how can this be accomplished? Do you from experience know what solutions provide this transparency and to what extent? posix compliance, or conformance, is mentioned on the wiki pages of most of the above listed solutions. The question here mainly is, how relevant is support for the posix standard? Hadoop for example isn't posix compliant by design, what are the pro's and con's? what about the difference between synchronous and asynchronous opeartion of a distributed file system. Though a synchronous distributed file system has the preference because of reliability it also imposes certain limitations with respect to scalability. What would be, from your expertise, the way to go on this? I'm looking forward to your replies. Thanks in advance! :) With kind regards, Tim van Elteren

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  • Why does my system use so much cache?

    - by Dave M G
    Previously, on my desktop computer running Ubuntu 14.04, I had 4GB RAM, which I thought should be plenty. However, after being on for a while, my computer would seem to get slow. I have a system resource monitor app in my Gnome panel, which I assume represents the available RAM (?). It shows a dark green area as being "Memory", and a light green area as "Cache". The "Cache" would slowly grow until it filled the whole graph, and then programs would get slow to load, or it would take a while to switch programs. I could alleviate the problem somewhat with this command, but eventually the computer cache fills up again, so it's only a bandaid: sudo sh -c "sync; echo 3 > /proc/sys/vm/drop_caches" So, I figured I'd get more RAM, so I replaced one 2GB stick with an 8GB stick, and now I have 10 GB ram. And my "cache" still slowly maxes out and my computer slows as a result. Also, sometimes the computer starts out with "cache" maxed when I first boot and log in. Not always though, I don't know if there's a pattern that determines why it happens. Why is Ubuntu using up so much cache? Is 10GB not enough for Ubuntu? Here's what my system monitor looks like in my Gnome panel. The middle square shows RAM usage. The light green area is the "cache": This is my memory and swap history, which doesn't seem to include any information about "cache". I realize at this point I'm not totally clear on the difference between "cache" and "swap":

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  • Zend Cache is not retrieving cache items after some period of time

    - by Phil
    Hi, I am using Zend Cache with page caching but it seems to miss the cache after a period of time. For a while it is OK, but I come back tomorrow and hit the page, it doesn't fetch the contents from the cache. why? $frontendOptions = array( 'content_type_memorization' => true, // This remembers the headers, needed for images 'lifetime' => NULL, // cache lifetime forever 'automatic_serialization' => true, 'automatic_cleaning_factor' => 0 ); $myPageCache = new Zend_Cache_Frontend_Page(array( 'debug_header' => false, 'automatic_cleaning_factor'=>0, 'content_type_memorization' => true, 'default_options' => array( 'cache' => true, 'cache_with_get_variables' => true, 'cache_with_post_variables' => true, 'cache_with_session_variables' => true, 'cache_with_cookie_variables' => true ))); $backendOptions = array('cache_dir' => '.' . DIRECTORY_SEPARATOR . 'cache' . DIRECTORY_SEPARATOR); $cache = Zend_Cache::factory($myPageCache, 'File', $frontendOptions, $backendOptions); $cacheKey = hash('md5', "cache_" . $cachePath); // cachePath is the key I use for the cache if(!$cache->start($cacheKey)) { I output html here $cache->end(); }

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  • Running programs in cache and registers

    - by OSX NINJA
    In my operating systems class we were shown a picture depicting a hierarchy of memory starting from most expensive and fastest at the top and least expensive and slowest at the bottom. At the very top was registers and underneath it was cache. The professor said that the best place to run programs is in cache. I was wondering why programs can't be run in registers? Also, how can a program load itself into cache? Isn't the cache something that's controlled by the CPU and works automatically without software control?

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  • Safari on Mac OS X Cache lasts after 'Empty Cache'

    - by Mitch
    So, I broke a website with some server changes oops. I roll back the changes I made, hit cmd-R, and oh noes, it is still broken. But I relax thinking, there must be something held in safari's cache so I press the handy 'Empty Cache' button. Hit cmd-R for refresh it is still broken. I'm really worried that I've done it and broken something bigtime. But first decide to check on a hand win xp computer, and voila it works. So the question is how do you "really" clear the cache w/o restart safari, I have many browser windows open a restart every time I make a server side change will ruin me. Any suggestions? Thanks!

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  • W3 Total Cache or WP Super Cache?

    - by javipas
    I'm just preparing the setup of a new VPS where I will migrate a WordPress blog with a good traffic (currently, around 40k pageviews a day), and I was thinking about the caching strategy. I've found different ideas and recommendations, but from previous experiences I will setup a Nginx+PHP-FPM+MySQL (LEMP) system on a Linode VPS. I've read also about setting Nginx as a reverse proxy with Apache, and even using Varnish too, but I don't know if all of this can benefit the speed/performance of the blog (that's the only thing that will be installed on the VPS). The question now is... would you recommend W3 Total Cache or WP Super Cache? I've used W3 on some blogs, but I haven't noticed great benefits and don't need all its options, so I think I could give the veteran WP Super Cache a try. Besides, some users have complained about W3 complex configuration and lack of performance (even consumig more CPU) on some cases.

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  • Cross-platform distributed fault-tolerant (disconnected operation/local cache) filesystem

    - by Adrian Frühwirth
    We are facing a design "challenge" where we are required to set up a storage solution with the following properties: What we need HA a scalable storage backend offline/disconnected operation on the client to account for network outages cross-platform access client-side access from certainly Windows (probably XP upwards), possibly Linux backend integrates with AD/LDAP (permission management (user/group management, ...)) should work reasonably well over slow WAN-links Another problem is that we don't really know all possible use cases here, if people need to be able to have concurrent access to shared files or if they will only be accessing their own files, so a possible solution needs to account for concurrent access and how conflict management would look in this case from a user's point of view. This two years old blog posts sums up the impression that I have been getting during the last couple of days of research, that there are lots of current übercool projects implementing (non-Windows) clustered petabyte-capable blob-storage solutions but that there is none that supports disconnected operation nicely and natively, but I am hoping that we have missed an obvious solution. What we have tried OpenAFS We figured that we want a distributed network filesystem with a local cache and tested OpenAFS (which, as the only currently "stable" DFS supporting disconnected operation, seemed the way to go) for a week but there are several problems with it: it's a real pain to set up there are no official RHEL/CentOS packages the package of the current stable version 1.6.5.1 from elrepo randomly kernel panics on fresh installs, this is an absolute no-go Windows support (including the required Kerberos packages) is mystical. The current client for the 1.6 branch does not run on Windows 8, the current client for the 1.7 does but it just randomly crashes. After that experience we didn't even bother testing on XP and Windows 7. Suffice to say, we couldn't get it working and the whole setup has been so unstable and complicated to setup that it's just not an option for production. Samba + Unison Since OpenAFS was a complete disaster and no other DFS seems to support disconnected operation we went for a simpler idea that would sync files against a Samba server using Unison. This has the following advantages: Samba integrates with ADs; it's a pain but can be done. Samba solves the problem of remotely accessing the storage from Windows but introduces another SPOF and does not address the actual storage problem. We could probably stick any clustered FS underneath Samba, but that means we need a HA Samba setup on top of that to maintain HA which probably adds a lot of additional complexity. I vaguely remember trying to implement redundancy with Samba before and I could not silently failover between servers. Even when online, you are working with local files which will result in more conflicts than would be necessary if a local cache were only touched when disconnected It's not automatic. We cannot expect users to manually sync their files using the (functional, but not-so-pretty) GTK GUI on a regular basis. I attempted to semi-automate the process using the Windows task scheduler, but you cannot really do it in a satisfactory way. On top of that, the way Unison works makes syncing against Samba a costly operation, so I am afraid that it just doesn't scale very well or even at all. Samba + "Offline Files" After that we became a little desparate and gave Windows "offline files" a chance. We figured that having something that is inbuilt into the OS would reduce administrative efforts, helps blaming someone else when it's not working properly and should just work since people have been using this for years. Right? Wrong. We really wanted it to work, but it just doesn't. 30 minutes of copying files around and unplugging network cables/disabling network interfaces left us with (silent! there is only a tiny notification in Windows explorer in the statusbar, which doesn't even open Sync Center if you click on it!) undeletable files on the server (!) and conflicts that should not even be conflicts. In the end, we had one successful sync of a tiny text file, everything else just exploded horribly. Beyond that, there are other problems: Microsoft admits that "offline files" in Windows XP cannot cope with "large files" and therefore does not cache/sync them at all which would mean those files become unavailable if the connection drop In Windows 7 the feature is only available in the Professional/Ultimate/Enterprise editions. Summary Unless there is another fault-tolerant DFS that supports Windows natively I assume that stacking a HA Samba cluster on top of something like GlusterFS/Lustre/whatnot is the only option, but I hope that I am wrong here. How do other companies allow fault-tolerant network access to redundant storage in a heterogeneous environment with Windows?

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  • APC File Cache not working but user cache is fine

    - by danishgoel
    I have just got a VPS (with cPanel/WHM) to test what gains i could get in my application with using apc file cache AND user cache. So firstly I got the PHP 5.3 compiled in as a DSO (apache module). Then installed APC via PECL through SSH. (First I tried with WHM Module installer, it also had the same problem, so I tried it via ssh) All seemed fine and phpinfo showed apc loaded and enabled. Then I checked with apc.php. All seemed OK But as I started testing my php application, the stats in apc for File Cache Information state: Cached Files 0 ( 0.0 Bytes) Hits 1 Misses 0 Request Rate (hits, misses) 0.00 cache requests/second Hit Rate 0.00 cache requests/second Miss Rate 0.00 cache requests/second Insert Rate 0.00 cache requests/second Cache full count 0 Which meant no PHP files were being cached, even though I had browsed through over 10 PHP files having multiple includes. So there must have been some Cached Files. But the user cache is functioning fine. User Cache Information Cached Variables 0 ( 0.0 Bytes) Hits 1000 Misses 1000 Request Rate (hits, misses) 0.84 cache requests/second Hit Rate 0.42 cache requests/second Miss Rate 0.42 cache requests/second Insert Rate 0.84 cache requests/second Cache full count 0 Its actually from an APC caching test script which tries to retrieve and store 1000 entries and gives me the times. A sort of simple benchmark. Can anyone help me here. Even though apc.cache_by_default = 1, no php files are being cached. This is my apc config Runtime Settings apc.cache_by_default 1 apc.canonicalize 1 apc.coredump_unmap 0 apc.enable_cli 0 apc.enabled 1 apc.file_md5 0 apc.file_update_protection 2 apc.filters apc.gc_ttl 3600 apc.include_once_override 0 apc.lazy_classes 0 apc.lazy_functions 0 apc.max_file_size 1M apc.mmap_file_mask apc.num_files_hint 1000 apc.preload_path apc.report_autofilter 0 apc.rfc1867 0 apc.rfc1867_freq 0 apc.rfc1867_name APC_UPLOAD_PROGRESS apc.rfc1867_prefix upload_ apc.rfc1867_ttl 3600 apc.serializer default apc.shm_segments 1 apc.shm_size 32M apc.slam_defense 1 apc.stat 1 apc.stat_ctime 0 apc.ttl 0 apc.use_request_time 1 apc.user_entries_hint 4096 apc.user_ttl 0 apc.write_lock 1 Also most php files are under 20KB, thus, apc.max_file_size = 1M is not the cause. I have also tried using 'apc_compile_file ' to force some files into opcode cache with no luck. I have also re-installed APC with Debugging enabled, but nothing shows in the error_log I have also tried setting mmap_file_mask to /dev/zero and /tmp/apc.xxxxxx, i have also set /tmp permissions to 777 to no avail Any clue anyone. Update: I have tried following things and none cause APC file cache to populate 1. set apc.enable_cli = 1 AND run a script from cli 2. Set apc.max_file_size = 5M (just in case) 3. switched php handler from dso to FastCGI in WHM (then switched it back to dso as it did not solve the problem) 4. Even tried restarting the container

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  • Building a distributed system on Amazon Web Services

    - by Songo
    Would simply using AWS to build an application make this application a distributed system? For example if someone uses RDS for the database server, EC2 for the application itself and S3 for hosting user uploaded media, does that make it a distributed system? If not, then what should it be called and what is this application lacking for it to be distributed? Update Here is my take on the application to clarify my approach to building the system: The application I'm building is a social game for Facebook. I developed the application locally on a LAMP stack using Symfony2. For production I used an a single EC2 Micro instance for hosting the app itself, RDS for hosting my database, S3 for the user uploaded files and CloudFront for hosting static content. I know this may sound like a naive approach, so don't be shy to express your ideas.

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  • Design a Distributed System

    - by Bonton255
    I am preparing for an interview on Distributed Systems. I have gone through a lot of text and understand the basics of the area. However, I need some examples of discussions on designing a distributed system given a scenario. For example, if I were to design a distributed system to calculate if a number N is primary or not, what will the be design of the system, what will be the impact of network latency, CPU performance, node failure, addition of nodes, time synchronization etc. If you guys could present your in-depth thoughts on this example, or point me to some similar discussion, that would be really helpful.

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  • SQL SERVER – SSIS Look Up Component – Cache Mode – Notes from the Field #028

    - by Pinal Dave
    [Notes from Pinal]: Lots of people think that SSIS is all about arranging various operations together in one logical flow. Well, the understanding is absolutely correct, but the implementation of the same is not as easy as it seems. Similarly most of the people think lookup component is just component which does look up for additional information and does not pay much attention to it. Due to the same reason they do not pay attention to the same and eventually get very bad performance. Linchpin People are database coaches and wellness experts for a data driven world. In this 28th episode of the Notes from the Fields series database expert Tim Mitchell (partner at Linchpin People) shares very interesting conversation related to how to write a good lookup component with Cache Mode. In SQL Server Integration Services, the lookup component is one of the most frequently used tools for data validation and completion.  The lookup component is provided as a means to virtually join one set of data to another to validate and/or retrieve missing values.  Properly configured, it is reliable and reasonably fast. Among the many settings available on the lookup component, one of the most critical is the cache mode.  This selection will determine whether and how the distinct lookup values are cached during package execution.  It is critical to know how cache modes affect the result of the lookup and the performance of the package, as choosing the wrong setting can lead to poorly performing packages, and in some cases, incorrect results. Full Cache The full cache mode setting is the default cache mode selection in the SSIS lookup transformation.  Like the name implies, full cache mode will cause the lookup transformation to retrieve and store in SSIS cache the entire set of data from the specified lookup location.  As a result, the data flow in which the lookup transformation resides will not start processing any data buffers until all of the rows from the lookup query have been cached in SSIS. The most commonly used cache mode is the full cache setting, and for good reason.  The full cache setting has the most practical applications, and should be considered the go-to cache setting when dealing with an untested set of data. With a moderately sized set of reference data, a lookup transformation using full cache mode usually performs well.  Full cache mode does not require multiple round trips to the database, since the entire reference result set is cached prior to data flow execution. There are a few potential gotchas to be aware of when using full cache mode.  First, you can see some performance issues – memory pressure in particular – when using full cache mode against large sets of reference data.  If the table you use for the lookup is very large (either deep or wide, or perhaps both), there’s going to be a performance cost associated with retrieving and caching all of that data.  Also, keep in mind that when doing a lookup on character data, full cache mode will always do a case-sensitive (and in some cases, space-sensitive) string comparison even if your database is set to a case-insensitive collation.  This is because the in-memory lookup uses a .NET string comparison (which is case- and space-sensitive) as opposed to a database string comparison (which may be case sensitive, depending on collation).  There’s a relatively easy workaround in which you can use the UPPER() or LOWER() function in the pipeline data and the reference data to ensure that case differences do not impact the success of your lookup operation.  Again, neither of these present a reason to avoid full cache mode, but should be used to determine whether full cache mode should be used in a given situation. Full cache mode is ideally useful when one or all of the following conditions exist: The size of the reference data set is small to moderately sized The size of the pipeline data set (the data you are comparing to the lookup table) is large, is unknown at design time, or is unpredictable Each distinct key value(s) in the pipeline data set is expected to be found multiple times in that set of data Partial Cache When using the partial cache setting, lookup values will still be cached, but only as each distinct value is encountered in the data flow.  Initially, each distinct value will be retrieved individually from the specified source, and then cached.  To be clear, this is a row-by-row lookup for each distinct key value(s). This is a less frequently used cache setting because it addresses a narrower set of scenarios.  Because each distinct key value(s) combination requires a relational round trip to the lookup source, performance can be an issue, especially with a large pipeline data set to be compared to the lookup data set.  If you have, for example, a million records from your pipeline data source, you have the potential for doing a million lookup queries against your lookup data source (depending on the number of distinct values in the key column(s)).  Therefore, one has to be keenly aware of the expected row count and value distribution of the pipeline data to safely use partial cache mode. Using partial cache mode is ideally suited for the conditions below: The size of the data in the pipeline (more specifically, the number of distinct key column) is relatively small The size of the lookup data is too large to effectively store in cache The lookup source is well indexed to allow for fast retrieval of row-by-row values No Cache As you might guess, selecting no cache mode will not add any values to the lookup cache in SSIS.  As a result, every single row in the pipeline data set will require a query against the lookup source.  Since no data is cached, it is possible to save a small amount of overhead in SSIS memory in cases where key values are not reused.  In the real world, I don’t see a lot of use of the no cache setting, but I can imagine some edge cases where it might be useful. As such, it’s critical to know your data before choosing this option.  Obviously, performance will be an issue with anything other than small sets of data, as the no cache setting requires row-by-row processing of all of the data in the pipeline. I would recommend considering the no cache mode only when all of the below conditions are true: The reference data set is too large to reasonably be loaded into SSIS memory The pipeline data set is small and is not expected to grow There are expected to be very few or no duplicates of the key values(s) in the pipeline data set (i.e., there would be no benefit from caching these values) Conclusion The cache mode, an often-overlooked setting on the SSIS lookup component, represents an important design decision in your SSIS data flow.  Choosing the right lookup cache mode directly impacts the fidelity of your results and the performance of package execution.  Know how this selection impacts your ETL loads, and you’ll end up with more reliable, faster packages. If you want me to take a look at your server and its settings, or if your server is facing any issue we can Fix Your SQL Server. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Notes from the Field, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: SSIS

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  • apache mod_cache in v2.2 - enable cache based on url

    - by Janning
    We are using apache2.2 as a front-end server with application servers as reverse proxies behind apache. We are using mod_cache for some images and enabled it like this: <IfModule mod_disk_cache.c> CacheEnable disk / CacheRoot /var/cache/apache2/mod_disk_cache CacheIgnoreCacheControl On CacheMaxFileSize 2500000 CacheIgnoreURLSessionIdentifiers jsessionid CacheIgnoreHeaders Set-Cookie </IfModule> The image urls vary completely and have no common start pattern, but they all end in ".png". Thats why we used the root in CacheEnable / If not served from the cache, the request is forwarded to an application server via reverse proxy. So far so good, cache is working fine. But I really only need to cache all image request ending in ".png". My above configuration still works as my application server send an appropriate Cache-Control: no-cache header on the way back to apache. So most pages send a no-cache header back and they get not cached at all. My ".png" responses doesn't send a Cache-Control header so apache is only going to cache all urls with ".png". Fine. But when a new request enters apache, apache does not know that only .png requests should be considered, so every request is checking a file on disk (recorded with strace -e trace=file -p pid): [pid 19063] open("/var/cache/apache2/mod_disk_cache/zK/q8/Kd/g6OIv@woJRC_ba_A.header", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory) I don't want to have apache going to disk every request, as the majority of requests are not cached at all. And we have up to 10.000 request/s at peak time. Sometimes our read IO wait spikes. It is not getting really slow, but we try to tweak it for better performance. In apache 2.4 you can say: <LocationMatch .png$> CacheEnable disk </LocationMatch> This is not possible in 2.2 and as I see no backports for debian I am not going to upgrade. So I tried to tweak apache2.2 to follow my rules: <IfModule mod_disk_cache.c> SetEnvIf Request_URI "\.png$" image RequestHeader unset Cache-Control RequestHeader append Cache-Control no-cache env=!image CacheEnable disk / CacheRoot /var/cache/apache2/mod_disk_cache #CacheIgnoreCacheControl on CacheMaxFileSize 2500000 CacheIgnoreURLSessionIdentifiers jsessionid CacheIgnoreHeaders Set-Cookie </IfModule> The idea is to let apache decide to serve request from cache based on Cache-control header (CacheIgnoreCacheControl default to off). And before simply set a RequestHeader based on the request. If it is not an image request, set a Cache-control header, so it should bypass the cache at all. This does not work, I guess because of late processing of RequestHeader directive, see https://httpd.apache.org/docs/2.2/mod/mod_headers.html#early I can't add early processing as "early" keyword can't be used together with a conditional "env=!image" I can't change the url requesting the images and I know there are of course other solutions. But I am only interested in configuring apache2.2 to reach my goal. Does anybody has an idea how to achieve my goal?

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  • Can an issue tracking system be distributed?

    - by Klaim
    I was thinking about issue tracking software like Redmine, Trac or even the one that is in Fossil and something hit me: Is there a reason why Redmine and Trac are not possible to be distributed? Or maybe it's possible and I just don't know how it's possible? If it's not possible, why? By distributed I mean like Facebook or Google or other applications that effectively runs on multiple hardware a the same time but share data.

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  • Oracle Database Smart Flash Cache: Only on Oracle Linux and Oracle Solaris

    - by sergio.leunissen
    Oracle Database Smart Flash Cache is a feature that was first introduced with Oracle Database 11g Release 2. Only available on Oracle Linux and Oracle Solaris, this feature increases the size of the database buffer cache without having to add RAM to the system. In effect, it acts as a second level cache on flash memory and will especially benefit read-intensive database applications. The Oracle Database Smart Flash Cache white paper concludes: Available at no additional cost, Database Smart Flash Cache on Oracle Solaris and Oracle Linux has the potential to offer considerable benefit to users of Oracle Database 11g Release 2 with disk-bound read-mostly or read-only workloads, through the simple addition of flash storage such as the Sun Storage F5100 Flash Array or the Sun Flash Accelerator F20 PCIe Card. Read the white paper.

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  • Application throws NotSerializableException when run on an jboss cluster

    - by Kalpana
    Environment: JBoss 5.1.0, JBoss Seam 2.2.0 While trying to get my application running in a clustered environment after login I am getting the following exception. Post login we try to store the currentUser in jboss seam session context. java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty How to resolve this? java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1156) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.ArrayList.writeObject(ArrayList.java:570) at sun.reflect.GeneratedMethodAccessor339.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java :1509) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 74) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at java.util.HashMap.writeObject(HashMap.java:1001) at sun.reflect.GeneratedMethodAccessor338.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAcces sorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at java.io.ObjectStreamClass.invokeWriteObject(ObjectStreamClass.java:94 5) at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:14 61) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1392) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.serialize (SimpleCachableMarshalledValue.java:271) at org.jboss.ha.framework.server.SimpleCachableMarshalledValue.writeExte rnal(SimpleCachableMarshalledValue.java:252) at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java: 1421) at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.jav a:1390) at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1150) at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java:326) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:460) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallMap(CacheMarshall er200.java:569) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:370) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.marshallCommand(CacheMars haller200.java:519) at org.jboss.cache.marshall.CacheMarshaller200.marshallObject(CacheMarsh aller200.java:314) at org.jboss.cache.marshall.CacheMarshaller300.marshallObject(CacheMarsh aller300.java:47) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:191) at org.jboss.cache.marshall.CacheMarshaller200.objectToObjectStream(Cach eMarshaller200.java:136) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:182) at org.jboss.cache.marshall.VersionAwareMarshaller.objectToBuffer(Versio nAwareMarshaller.java:52) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:369) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619) 16:38:35,789 ERROR [CommandAwareRpcDispatcher] java.io.NotSerializableException: org.jboss.seam.util.AnnotatedBeanProperty 16:38:35,789 WARN [/a12] Failed to replicate session YwBL69cG-zdm0m5CvzNj3Q__ java.lang.RuntimeException: Failure to marshal argument(s) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:374) at org.jboss.cache.marshall.CommandAwareRpcDispatcher$ReplicationTask.ca ll(CommandAwareRpcDispatcher.java:341) at org.jboss.cache.util.concurrent.WithinThreadExecutor.submit(WithinThr eadExecutor.java:82) at org.jboss.cache.marshall.CommandAwareRpcDispatcher.invokeRemoteComman ds(CommandAwareRpcDispatcher.java:206) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 748) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 716) at org.jboss.cache.RPCManagerImpl.callRemoteMethods(RPCManagerImpl.java: 721) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:161) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:135) at org.jboss.cache.interceptors.BaseRpcInterceptor.replicateCall(BaseRpc Interceptor.java:107) at org.jboss.cache.interceptors.ReplicationInterceptor.handleCrudMethod( ReplicationInterceptor.java:160) at org.jboss.cache.interceptors.ReplicationInterceptor.visitPutDataMapCo mmand(ReplicationInterceptor.java:113) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.base.CommandInterceptor.handleDefault(Co mmandInterceptor.java:131) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.TxInterceptor.attachGtxAndPassUpChain(Tx Interceptor.java:301) at org.jboss.cache.interceptors.TxInterceptor.handleDefault(TxIntercepto r.java:283) at org.jboss.cache.commands.AbstractVisitor.visitPutDataMapCommand(Abstr actVisitor.java:60) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.CacheMgmtInterceptor.visitPutDataMapComm and(CacheMgmtInterceptor.java:97) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.base.CommandInterceptor.invokeNextInterc eptor(CommandInterceptor.java:116) at org.jboss.cache.interceptors.InvocationContextInterceptor.handleAll(I nvocationContextInterceptor.java:178) at org.jboss.cache.interceptors.InvocationContextInterceptor.visitPutDat aMapCommand(InvocationContextInterceptor.java:64) at org.jboss.cache.commands.write.PutDataMapCommand.acceptVisitor(PutDat aMapCommand.java:104) at org.jboss.cache.interceptors.InterceptorChain.invoke(InterceptorChain .java:287) at org.jboss.cache.invocation.CacheInvocationDelegate.invokePut(CacheInv ocationDelegate.java:705) at org.jboss.cache.invocation.CacheInvocationDelegate.put(CacheInvocatio nDelegate.java:519) at org.jboss.ha.cachemanager.CacheManagerManagedCache.put(CacheManagerMa nagedCache.java:277) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.JBossC acheWrapper.put(JBossCacheWrapper.java:148) at org.jboss.web.tomcat.service.session.distributedcache.impl.jbc.Abstra ctJBossCacheService.storeSessionData(AbstractJBossCacheService.java:405) at org.jboss.web.tomcat.service.session.ClusteredSession.processSessionR eplication(ClusteredSession.java:1166) at org.jboss.web.tomcat.service.session.JBossCacheManager.processSession Repl(JBossCacheManager.java:1937) at org.jboss.web.tomcat.service.session.JBossCacheManager.storeSession(J BossCacheManager.java:309) at org.jboss.web.tomcat.service.session.InstantSnapshotManager.snapshot( InstantSnapshotManager.java:51) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.handleRequ est(ClusteredSessionValve.java:147) at org.jboss.web.tomcat.service.session.ClusteredSessionValve.invoke(Clu steredSessionValve.java:94) at org.jboss.web.tomcat.service.session.LockingValve.invoke(LockingValve .java:62) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(Authentica torBase.java:433) at org.jboss.web.tomcat.security.JaccContextValve.invoke(JaccContextValv e.java:92) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.proce ss(SecurityContextEstablishmentValve.java:126) at org.jboss.web.tomcat.security.SecurityContextEstablishmentValve.invok e(SecurityContextEstablishmentValve.java:70) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.j ava:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.j ava:102) at org.jboss.web.tomcat.service.jca.CachedConnectionValve.invoke(CachedC onnectionValve.java:158) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineVal ve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.jav a:330) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java :829) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.proce ss(Http11Protocol.java:598) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:44 7) at java.lang.Thread.run(Thread.java:619)

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