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  • Oracle ZFSSA Hybrid Storage Pool Demo

    - by Darius Zanganeh
    The ZFS Hybrid Storage Pool (HSP) has been around since the ZFSSA first launched.  It is one of the main contributors to the high performance we see on the Oracle ZFSSA both in benchmarks as well as many production environments.  Below is a short video I made to show at a high level just how impactful this HSP pool is on storage performance.  We squeeze a ton of performance out of our drives with our unique use of cache, write optimized ssd and read optimized ssd.  Many have written and blogged about this technology, here it is in action. Demo of the Oracle ZFSSA Hybrid Storage Pool and how it speeds up workloads.

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  • Cheapest way to connect 20-24 Sata II HDDs in a budget storage server?

    - by Joe Hopfgartner
    I need to assemble a high density storage server for as cheap as possible. It's been a while for me and the last systems I integrated didn't even have Sata yet... During my Research I of course stumbled about Nexsan SATA Beast, the BackBlaze storage Pods as well as some ridiculously overpriced HP Proliant or Dell storage solutions. Finally I choose Norco cases as the way to go. My eye is set on the RPC-4020, which is a 4U 19" Rackmount case with 20 Hot Swap 3.5" SATA/SAS Hdd trays (Backplanes included) and room for two 2.5" OS drives as well as a Slim Line CD-Rom. The backplanes connect with a single SATA port for each drive, so there are 20 internal SATA ports to to be connected. They also have redundant power ports which I think is quite nice. The cheapest price I have found is 290$ + 40$ shipping. In europe the cheapest unfortunately is 370€ (500$) + 40 € shipping... A nice alternative would be the RPC-4224 which has SFF-8087 Mini SAS connectors that bundle 4 SATA trays each. But it doesn't seem to be available in Europe (where i am) anywhere. So here comes my problem: What Mainboard/Controller to choose to connect them for as cheap as possible while still having nice data rates? I have to say that the server is intended as a Storage server with 1gps connectivity and the data transfer will be distributed very evenly across all drives. I also don't require any raid functionality. This is all done at application level, I just need JBOD. So for example if I go for the RPC 4020 Model I need to connect 20 Storage + 1 OS + 1 CDROM Sata ports. I searched a bit and stumbled across this very low priced controller: http://www.intel.com/products/server/raid-controllers/SASWT4I/SASWT4I-overview.htm They sell it for 115 € here and the specs say it can control up to 122 hard discs and has 4 Mini SAS connectors. So I would use 4 Mini SAS 36pin - 4 SATA 7pin cables to connect 4 SATA drives to each port and choose a Mainboard taht has 6 SATA on board (for example this one) and hurray, I can connect my 22 SATA devices for as low as about ~ 220 EUR (cpu, ram, psu, case not counted) Question: WOULD THAT WORK? And if not, why? 2nd Question: If I go for the 4220 or 4224 Model, I have internal Mini SAS connectors. Am I right in assuming that the backplane than acts as a "SAS Expander"? And can I just plug these SAS connectors into any SAS port I can find on my controller / mainboard or are there certain requirements? I know that SATA port multipliers only work with controllers that are ready for that. But isn't this expansion already implemented in the SAS standard? I am sorry that this is a very broad question, but I really spent the last week reading up and it seems to be not so clear! Especially all the controlling hardware specifications! 3rd Question: A lot of hardware specs feature "internal channels" and "internal connectors". The connecors are the physical numbers of places where I can plug a cable in. I got that. But are the "internal channels" always the maximum numbers of physical drives that can be used in the end? Or can I enhance this further by Expanders/Fanouts? 4th and last question: What do you think about the setup so far? Do you know any good alternatives? Maby I am completely going the wrong way and some DAS would be way better? Are there any comparable chassis available in europe? Please feel free to say whatever you think is relevant to the subject!

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  • RHCS: GFS2 in A/A cluster with common storage. Configuring GFS with rgmanager

    - by Pavel A
    I'm configuring a two node A/A cluster with a common storage attached via iSCSI, which uses GFS2 on top of clustered LVM. So far I have prepared a simple configuration, but am not sure which is the right way to configure gfs resource. Here is the rm section of /etc/cluster/cluster.conf: <rm> <failoverdomains> <failoverdomain name="node1" nofailback="0" ordered="0" restricted="1"> <failoverdomainnode name="rhc-n1"/> </failoverdomain> <failoverdomain name="node2" nofailback="0" ordered="0" restricted="1"> <failoverdomainnode name="rhc-n2"/> </failoverdomain> </failoverdomains> <resources> <script file="/etc/init.d/clvm" name="clvmd"/> <clusterfs name="gfs" fstype="gfs2" mountpoint="/mnt/gfs" device="/dev/vg-cs/lv-gfs"/> </resources> <service name="shared-storage-inst1" autostart="0" domain="node1" exclusive="0" recovery="restart"> <script ref="clvmd"> <clusterfs ref="gfs"/> </script> </service> <service name="shared-storage-inst2" autostart="0" domain="node2" exclusive="0" recovery="restart"> <script ref="clvmd"> <clusterfs ref="gfs"/> </script> </service> </rm> This is what I mean: when using clusterfs resource agent to handle GFS partition, it is not unmounted by default (unless force_unmount option is given). This way when I issue clusvcadm -s shared-storage-inst1 clvm is stopped, but GFS is not unmounted, so a node cannot alter LVM structure on shared storage anymore, but can still access data. And even though a node can do it quite safely (dlm is still running), this seems to be rather inappropriate to me, since clustat reports that the service on a particular node is stopped. Moreover if I later try to stop cman on that node, it will find a dlm locking, produced by GFS, and fail to stop. I could have simply added force_unmount="1", but I would like to know what is the reason behind the default behavior. Why is it not unmounted? Most of the examples out there silently use force_unmount="0", some don't, but none of them give any clue on how the decision was made. Apart from that I have found sample configurations, where people manage GFS partitions with gfs2 init script - https://alteeve.ca/w/2-Node_Red_Hat_KVM_Cluster_Tutorial#Defining_The_Resources or even as simply as just enabling services such as clvm and gfs2 to start automatically at boot (http://pbraun.nethence.com/doc/filesystems/gfs2.html), like: chkconfig gfs2 on If I understand the latest approach correctly, such cluster only controls whether nodes are still alive and can fence errant ones, but such cluster has no control over the status of its resources. I have some experience with Pacemaker and I'm used to that all resources are controlled by a cluster and an action can be taken when not only there are connectivity issues, but any of the resources misbehave. So, which is the right way for me to go: leave GFS partition mounted (any reasons to do so?) set force_unmount="1". Won't this break anything? Why this is not the default? use script resource <script file="/etc/init.d/gfs2" name="gfs"/> to manage GFS partition. start it at boot and don't include in cluster.conf (any reasons to do so?) This may be a sort of question that cannot be answered unambiguously, so it would be also of much value for me if you shared your experience or expressed your thoughts on the issue. How does for example /etc/cluster/cluster.conf look like when configuring gfs with Conga or ccs (they are not available to me since for now I have to use Ubuntu for the cluster)? Thanks you very much!

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  • WebLogic Server Performance and Tuning: Part II - Thread Management

    - by Gokhan Gungor
    WebLogic Server, like any other java application server, provides resources so that your applications use them to provide services. Unfortunately none of these resources are unlimited and they must be managed carefully. One of these resources is threads which are pooled to provide better throughput and performance along with the fast response time and to avoid deadlocks. Threads are execution points that WebLogic Server delivers its power and execute work. Managing threads is very important because it may affect the overall performance of the entire system. In previous releases of WebLogic Server 9.0 we had multiple execute queues and user defined thread pools. There were different queues for different type of work which had fixed number of execute threads.  Tuning of this thread pools and finding the proper number of threads was time consuming which required many trials. WebLogic Server 9.0 and the following releases use a single thread pool and a single priority-based execute queue. All type of work is executed in this single thread pool. Its size (thread count) is automatically decreased or increased (self-tuned). The new “self-tuning” system simplifies getting the proper number of threads and utilizing them.Work manager allows your applications to run concurrently in multiple threads. Work manager is a mechanism that allows you to manage and utilize threads and create rules/guidelines to follow when assigning requests to threads. We can set a scheduling guideline or priority a request with a work manager and then associate this work manager with one or more applications. At run-time, WebLogic Server uses these guidelines to assign pending work/requests to execution threads. The position of a request in the execute queue is determined by its priority. There is a default work manager that is provided. The default work manager should be sufficient for most applications. However there can be cases you want to change this default configuration. Your application(s) may be providing services that need mixture of fast response time and long running processes like batch updates. However wrong configuration of work managers can lead a performance penalty while expecting improvement.We can define/configure work managers at;•    Domain Level: config.xml•    Application Level: weblogic-application.xml •    Component Level: weblogic-ejb-jar.xml or weblogic.xml(For a specific web application use weblogic.xml)We can use the following predefined rules/constraints to manage the work;•    Fair Share Request Class: Specifies the average thread-use time required to process requests. The default is 50.•    Response Time Request Class: Specifies a response time goal in milliseconds.•    Context Request Class: Assigns request classes to requests based on context information.•    Min Threads Constraint: Limits the number of concurrent threads executing requests.•    Max Threads Constraint: Guarantees the number of threads the server will allocate to requests.•    Capacity Constraint: Causes the server to reject requests only when it has reached its capacity. Let’s create a work manager for our application for a long running work.Go to WebLogic console and select Environment | Work Managers from the domain structure tree. Click New button and select Work manager and click next. Enter the name for the work manager and click next. Then select the managed server instances(s) or clusters from available targets (the one that your long running application is deployed) and finish. Click on MyWorkManager, and open the Configuration tab and check Ignore Stuck Threads and save. This will prevent WebLogic to tread long running processes (that is taking more than a specified time) as stuck and enable to finish the process.

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  • Help with Perl persistent data storage using Data::Dumper

    - by stephenmm
    I have been trying to figure this out for way to long tonight. I have googled it to death and none of the examples or my hacks of the examples are getting it done. It seems like this should be pretty easy but I just cannot get it. Here is the code: #!/usr/bin/perl -w use strict; use Data::Dumper; my $complex_variable = {}; my $MEMORY = "$ENV{HOME}/data/memory-file"; $complex_variable->{ 'key' } = 'value'; $complex_variable->{ 'key1' } = 'value1'; $complex_variable->{ 'key2' } = 'value2'; $complex_variable->{ 'key3' } = 'value3'; print Dumper($complex_variable)."TEST001\n"; open M, ">$MEMORY" or die; print M Data::Dumper->Dump([$complex_variable], ['$complex_variable']); close M; $complex_variable = {}; print Dumper($complex_variable)."TEST002\n"; # Then later to restore the value, it's simply: do $MEMORY; #eval $MEMORY; print Dumper($complex_variable)."TEST003\n"; And here is my output: $VAR1 = { 'key2' => 'value2', 'key1' => 'value1', 'key3' => 'value3', 'key' => 'value' }; TEST001 $VAR1 = {}; TEST002 $VAR1 = {}; TEST003 Everything that I read says that the TEST003 output should look identical to the TEST001 output which is exactly what I am trying to achieve. What am I missing here? Should I be "do"ing differently or should I be "eval"ing instead and if so how? Thanks for any help...

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  • iPad App Cookies Storage?

    - by Aakburns
    Hi, I have an application that sends you to one website that shows a login form. I've read up on cookies from the apple reference (http://developer.apple.com/iphone/library/documentation/Cocoa/Reference/Foundation/Classes/NSHTTPCookie_Class/Reference/Reference.html#//apple_ref/occ/instm/NSHTTPCookie/initWithProperties:) I'm honestly just not understanding this at all. Can someone please explain how to get cookies working for an app? Post sample code? Thanks.

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  • Looking for the most painless non-RDBMS storage method in C#

    - by NateD
    I'm writing a simple program that will run entirely client-side. (Desktop programming? do people still do that?) and I need a simple way to store trivial amounts of data in a structured form, but really don't see any need to use a database system. What's more, some of the data needs to be serialized and passed around to different users, like some kind of "file" or perhaps a "document". (has anyone ever done that before?) So, I've looked at using .Net DataSets, LINQ, direct XML manipulation, and they all seem like they would get the job done, but I would like to know before I dive into any of them if there's one method that is generally regarded as easier to code than others. As I said, the amount of data to be stored is trivial, even if one hundred people all used the same machine we're not talking about more than 10 MB, so performance is not as large a concern as is codeability/maintainability. Thank you all in advance!

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  • Android App Widget: Data storage

    - by Jeffrey
    Hello everyone, I'm implementing a home screen app widget. I was wondering which is better to store/read data: SharedPreferences or a SQLite database? The data is accessed from an AppWidgetProvider (similar to a BroadcastReceiver), and any given instance of the widget displays different data based on appWidgetId. Is one way or the other frowned upon? Thanks for your time.

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  • Android v1.5 w/ browser data storage

    - by Sirber
    I'm trying to build an offline web application which can sync online if the network is available. I tryed jQuery jStore but the test page stop at "testing..." whitout result, then I tryed Google Gears which is supposed to be working on the phone but it gears is not found. if (window.google && google.gears) { google.gears.factory.getPermission(); // Database var db = google.gears.factory.create('beta.database'); db.open('cominar-compteurs'); db.execute('create table if not exists Lectures' + ' (ID_COMPTEUR int, DATE_HEURE timestamp, kWh float, Wmax float, VAmax float, Wcum float, VAcum float);'); } else { alert('Google Gears non trouvé.'); } the code does work on Google Chrome v5.

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  • Checking if a blob exists in Azure Storage

    - by John
    Hi, I've got a very simple question (I hope!) - I just want to find out if a blob (with a name I've defined) exists in a particular container. I'll be downloading it if it does exist, and if it doesn't then I'll do something else. I've done some searching on the intertubes and apparently there used to be a function called DoesExist or something similar... but as with so many of the Azure APIs, this no longer seems to be there (or if it is, has a very cleverly disguised name). Or maybe I'm missing something simple... :) John

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  • Asp.net mvc small amount data storage

    - by Trimack
    Hi there, I am writing some learning tests (i.e. what's the answer for...; choose correct options...). Now my question is, how should I store them. SQL db seems quite an overkill, but I really don't know what would be the best choice if I wanted to select random subset of questions etc. Perhaps some simple xml files? Thanks for advice.

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  • "Thread-Safe Calls" with "Invoke" method to Winform control leads very heavy memory leak!!

    - by konnychen
    In the following link: "Make Thread-Safe Calls to Windows Forms Controls http://msdn.microsoft.com/en-us/library/ms171728.aspx" We can see an example which provide cross tread access to a winform control. But if the thread is in a while loop, it will cause the heavy memory leak. As I use taskmanage I can see the memory is increasing. Can anyone help me to solve the problem? oThread2 = new Thread(new ThreadStart(Cyclic_Call)); oThread2.Start(); delegate void SetText_lab_Statubar(string text); private void m_SetText_lab_Statubar(string text) { if (this.lab_Statubar.InvokeRequired) { SetText_lab_Statubar d = new SetText_lab_Statubar(m_SetText_lab_Statubar); this.Invoke(d, new object[] { text }); } else { this.lab_Statubar.Text = text; } } private void Cyclic_Call() { do { this.m_SetText_lab_Statubar("This string is set from thread"); Thread.Sleep(100); } while (!b_AbortThraed); }

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  • Efficient storage/retrieval method for replayable comet style applications (Google Wave, Etherpad)

    - by Gareth Simpson
    I am considering a web application that would have the same kind of multi user, automatic saving, infinite undo / replay capabilities that you see in Google Wave and Etherpad (albeit on a drastically smaller scale and userbase). Before I go away and reinvent the wheel, is this something that has already been addressed as either a piece of technology or library, or even just a design pattern. I know this isn't necessarily the best Stack Overflow question as there is probably not a "right" answer, but my Google-fu has failed me and I'd just like a reading list! Ordinarily I would be developing under python/django but this is not a firm requirement just a preference :)

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  • Cloud HUGE data storage options?

    - by ToughPal
    Hi, Does anyone have a good suggestion on how to do video recording? We have a camera that can record and then stream live video to a server. So this means we can have 1000's of cameras sending data 24X7 for recording. We will store data for over 7 / 14 / 30 days depending on the package. Per day if a camera is sending data to the server then it will store 1.5GB. So that means there is a traffic of 1.5GB / day / camera Total monthly 45GB / month / camera (Data + bandwidth for one camera) Please let me know the most cost effective way to get this data stored? Thanks!

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  • ODBC Storage Size

    - by dcp3450
    I'm pulling a lot of text from a MS SQL Server database. I'm not getting all the text (which includes some html. The text is stored perfectly on the database. However, when I run the query to get the data It will only pull part of the text. I pull the data using odbc_exec and store using $variable = odbc_result($runquery,"body"). if i display the content with odbc_result_all($runquery) i get part of the content. if I use echo $body; i get part of the content then some garbage and part of the text from the begining. very strange response. Is there a size limit? Any ideas what I'm missing here?

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  • Data Storage question

    - by Nano8Blazex
    Another newbie question: What's the best way to store data in a Cocoa application written in Obj-C? For example if I want to create a sort of "quizzer" that quizzes the user with pre-written (and user-written) questions? How would I store these questions and answers? Core Data? Thanks!

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  • Tomcat6 getting crashed at regular intervals installed in Ubuntu

    - by Milesh Rout
    I have installed Tomcat6 in Ubuntu OS and when I run my web application the server gets crashed at regular intervals. I have tried a lot but not getting the solution. I have increased the memory upto 2048mb but still getting such error. Following is the error I am getting. Any help would be really appreciated. org.apache.tomcat.util.http.Parameters processParametersINFO: Invalid chunk starting at byte [312] and ending at byte [312] with a value of [null] ignoredException in thread "Timer-1" Exception in thread "com.mchange.v2.async.ThreadPoolAsynchronousRunner$PoolThread-#0" Exception in thread "com.mchange.v2.async.ThreadPoolAsynchronousRunner$PoolThread-#2" Exception in thread "com.mchange.v2.async.ThreadPoolAsynchronousRunner$PoolThread-#1" Exception in thread "Timer-2" Exception in thread "http-8080-4" Exception in thread "http-8080-8" Exception in thread "http-8080-17" Exception in thread "org.hibernate.cache.StandardQueryCache.data" Exception in thread "org.hibernate.cache.UpdateTimestampsCache.data" Exception in thread "org.hibernate.cache.StandardQueryCache.data" Exception in thread "org.hibernate.cache.StandardQueryCache.data" Exception in thread "org.hibernate.cache.UpdateTimestampsCache.data" Exception in thread "org.hibernate.cache.StandardQueryCache.data" Exception in thread "org.hibernate.cache.StandardQueryCache.data" Exception in thread "org.hibernate.cache.UpdateTimestampsCache.data" Exception in thread "com.safenet.usermgmt.User.data" Exception in thread "http-8080-7" Exception in thread "http-8080-12" Exception in thread "http-8080-16" Exception in thread "http-8080-14" Exception in thread "http-8080-13" Exception in thread "http-8080-15" Exception in thread "http-8080-6" OpenJDK Client VM warning: Exception java.lang.OutOfMemoryError occurred dispatching signal SIGTERM to handler- the VM may need to be forcibly terminated

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  • What are the functionalities of Distributed File systems and Distributed Storage Systems?

    - by Berkay
    i'm reading cloud vendors solutions for the distributed storage systems such as Amazon Dynamo and Google Big Table. and really confused in two terms : what is Distrubuted file systems for in cloud ? what is Distributed storage systems for? what are differences of these terms and functionalities ? if i understand these terms i will create the general architecture of the cloud vendors, any good tutorial or web page will be appreciated. Thanks

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  • java.util.ConcurrentModificationException when serializing non thread-safe maps

    - by [email protected]
    We have got some questions related to exceptions thrown during a map serialization like the following one (in this example, for a LRUMap): java.util.ConcurrentModificationExceptionat org.apache.commons.collections.SequencedHashMap$OrderedIterator.next(Unknown Source)at org.apache.commons.collections.LRUMap.writeExternal(Unknown Source)at java.io.ObjectOutputStream.writeExternalData(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java(Inlined CompiledCode))at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java(Inlined CompiledCode))at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java(Inlined CompiledCode))at java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeOrdinaryObject(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java(Compiled Code))at java.io.ObjectOutputStream.writeObject(ObjectOutputStream.java(Compiled Code))at com.tangosol.util.ExternalizableHelper.writeSerializable(ExternalizableHelper.java(InlinedCompiled Code))at com.tangosol.util.ExternalizableHelper.writeObjectInternal(ExternalizableHelper.java(Compiled Code))at com.tangosol.util.ExternalizableHelper.serializeInternal(ExternalizableHelper.java(Compiled Code))at com.tangosol.util.ExternalizableHelper.toBinary(ExternalizableHelper.java(InlinedCompiled Code))at com.tangosol.util.ExternalizableHelper.toBinary(ExternalizableHelper.java(InlinedCompiled Code))at com.tangosol.coherence.servlet.TraditionalHttpSessionModel$OptimizedHolder.serializeValue(TraditionalHttpSessionModel.java(Inlined Compiled Code))at com.tangosol.coherence.servlet.TraditionalHttpSessionModel$OptimizedHolder.getBinary(TraditionalHttpSessionModel.java(Compiled Code)) This is caused because LRUMap is not thread safe, so if another thread is modifying the content of that same map while serialization is in progress, then the ConcurrentModificationException will be thrown. Also, the map must be synchronized. Other structures like java.util.HashMap are not thread safe too. To avoid this kind of problems, it is recommended to use a thread-safe and synchronized map such as java.util.Map, java.util.Hashtable or com.tangosol.util.SafeHashMap. You may also need to use the synchronizedMap(Map) method from Class java.util.Collections.  

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