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• Mysql slowing down my application

  - by user2985991

  my application is taking ages to load because of my database isnt located on my computer.. Anyone have any idea to how improve my performance? public Form1() { Splash splash = new Splash(); splash.Show(); InitializeComponent(); Load(); public void Load() { db.SelectTeam(); db.SelectMatches(); } On db.SelectTeam and SelectMatches I get everything I need from mysql and put into lists... Sorry if it's confusing, but I don't know what to do, and sorry for my bad english EDIT: Here are the querys string query = "SELECT * FROM teams ORDER BY name"; string query = "SELECT * FROM matches ORDER BY date ASC";

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• Best Linux filesystem for MySQL with a 100% SELECT workload

  - by gmemon

  I have a MySQL database that contains millions of rows per table and there are 9 tables in total. The database is fully populated, and all I am doing is reads i.e., there are no INSERTs or UPDATEs. Data is stored in MyISAM tables. Given this scenario, which linux file system would work best? Currently, I have xfs. But, I read somewhere that xfs has horrible read performance. Is that true? Should I shift the database to an ext3 file system? Thanks

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• MyEntity.findAllByNameNotLike('bad%')

  - by Richard Paul

  I'm attempting to pull up all entities that have a name that doesn't partially match a given string. MyEntity.findAllByNameNotLike('bad%') This gives me the following error: No such property: nameNot for class: MyEntity Possible solutions: name" type="groovy.lang.MissingPropertyException" I had a quick look at the criteria style but I can't seem to get that going either, def results = MyEntity.withCritieria { not(like('name', 'bad%')) } No signature of method: MyEntity.withCritieria() is applicable for argument types: (MyService$_doSomething_closure1) Ideally I would like to be able to apply this restriction at the finder level as the database contains a large number of entities that I don't want to load up and then exclude for performance reasons. [grails 1.3.1]

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• Optimising a query for Top 5% of users

  - by Nai

  On my website, there exists a group of 'power users' who are fantastic and adding lots of content on to my site. However, their prolific activities has led to their profile pages slowing down a lot. For 95% of the other users, the SPROC that is returning the data is very quick. It's only for these group of power users, the very same SPROC is slow. How does one go about optimising the query for this group of users? You can assume that the right indexes have already been constructed. EDIT: Ok, I think I have been a bit too vague. To rephrase the question, how can I optimise my site to enhance the performance for these 5% of users. Given that this SPROC is the same one that is in use for every user and that it is already well optimised, I am guessing the next steps are to explore caching possibilities on the data and application layers?

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• The Oracle Enterprise Linux Software and Hardware Ecosystem

  - by sergio.leunissen

  It's been nearly four years since we launched the Unbreakable Linux support program and with it the free Oracle Enterprise Linux software. Since then, we've built up an extensive ecosystem of hardware and software partners. Oracle works directly with these vendors to ensure joint customers can run Oracle Enterprise Linux. As Oracle Enterprise Linux is fully--both source and binary--compatible with Red Hat Enterprise Linux (RHEL), there is minimal work involved for software and hardware vendors to test their products with it. We develop our software on Oracle Enterprise Linux and perform full certification testing on Oracle Enterprise Linux as well. Due to the compatibility between Oracle Enterprise Linux and RHEL, Oracle also certifies its software for use on RHEL, without any additional testing. Oracle Enterprise Linux tracks RHEL by publishing freely downloadable installation media on edelivery.oracle.com/linux and updates, bug fixes and security errata on Unbreakable Linux Network (ULN). At the same time, Oracle's Linux kernel team is shaping the future of enterprise Linux distributions by developing technologies and features that matter to customers who deploy Linux in the data center, including file systems, memory management, high performance computing, data integrity and virtualization. All this work is contributed to the Linux and Xen communities. The list below is a sample of the partners who have certified their products with Oracle Enterprise Linux. If you're interested in certifying your software or hardware with Oracle Enterprise Linux, please contact us via [email protected] Chip Manufacturers Intel, Intel Enabled Server Acceleration Alliance AMD Server vendors Cisco Unified Computing System Dawning Dell Egenera Fujitsu HP Huawei IBM NEC Sun/Oracle Storage Systems, Volume Management and File Systems 3Par Compellent EMC VPLEX FalconStor Fusion-io Hitachi Data Systems HP Storage Array Systems Lustre Network Appliance OCFS2 PillarData Symantec Veritas Storage Foundation Networking: Switches, Host Bus Adapters (HBAs), Converged Network Adapters (CNAs), InfiniBand Brocade Emulex Mellanox QLogic Voltaire SOA and Middleware ActiveState ActivePerl, ActivePython Tibco Zend Backup, Recovery & Replication Arkeia Network Backup Suite BakBone NetVault CommVault Simpana 8 EMC Networker, Replication Manager FalconStor Continuous Data Protector HP Data Protector NetApp Snapmanager Quest LiteSpeed Engine Steeleye Data Replication, Disaster Recovery Symantec NetBackup, Veritas Volume Replicator, Symantec Backup Exec Zmanda Amanda Enterprise Data Center Automation BMC CA Unicenter HP Server Automation (formerly Opsware), System Management Homepage Oracle Enterprise Manager Ops Center Quest Vizioncore vFoglight Pro TeamQuest Manager Clustering & High Availability FUJITSU x10sure NEC Express Cluster X Steeleye Lifekeeper Symantec Cluster Server Univa UniCluster Virtualization Platforms and Cloud Providers Amazon EC2 Citrix XenServer Rackspace Cloud VirtualBox VMWare ESX Security Management ArcSight: Enterprise Security Manager, Logger CA Access Control Centrify Suite Ecora Auditor FoxT Manager Likewise: Unix Account Management Lumension Endpoint Management and Security Suite QualysGuard Suite Quest Privilege Manager McAfee Application Control, Change ControlIntegrity Monitor, Integrity Control, PCI Pro Solidcore S3 Symantec Enterprise Security Manager (ESM) Tripwire Trusted Computer Solutions

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• Merge Join component sorted outputs [SSIS]

  - by jamiet

  One question that I have been asked a few times of late in regard to performance tuning SSIS data flows is this: Why isn’t the Merge Join output sorted (i.e.IsSorted=True)? This is a fair question. After all both of the Merge Join inputs are sorted, hence why wouldn’t the output be sorted as well? Well here’s a little secret, the Merge Join output IS sorted! There’s a caveat though – it is only under certain circumstances and SSIS itself doesn’t do a good job of informing you of it. Let’s take a look at an example. Here we have a dataflow that consumes data from the [AdventureWorks2008].[Sales].[SalesOrderHeader] & [AdventureWorks2008].[Sales].[SalesOrderDetail] tables then joins them using a Merge Join component: Let’s take a look inside the editor of the Merge Join: We are joining on the [SalesOrderId] field (which is what the two inputs just happen to be sorted upon). We are also putting [SalesOrderHeader].[SalesOrderId] into the output. Believe it or not the output from this Merge Join component is sorted (i.e. has IsSorted=True) but unfortunately the Merge Join component does not have an Advanced Editor hence it is hidden away from us. There are a couple of ways to prove to you that is the case; I could open up the package XML inside the .dtsx file and show you the metadata but there is an easier way than that – I can attach a Sort component to the output. Take a look: Notice that the Sort component is attempting to sort on the [SalesOrderId] column. This gives us the following warning: Validation warning. DFT Get raw data: {992B7C9A-35AD-47B9-A0B0-637F7DDF93EB}: The data is already sorted as specified so the transform can be removed. The warning proves that the output from the Merge Join is sorted! It must be noted that the Merge Join output will only have IsSorted=True if at least one of the join columns is included in the output. So there you go, the Merge Join component can indeed produce a sorted output and that’s very useful in order to avoid unnecessary expensive Sort operations downstream. Hope this is useful to someone out there! @Jamiet  P.S. Thank you to Bob Bojanic on the SSIS product team who pointed this out to me!

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• Ajax Control Toolkit and Superexpert

  - by Stephen Walther

  Microsoft has asked my company, Superexpert Consulting, to take ownership of the development and maintenance of the Ajax Control Toolkit moving forward. In this blog entry, I discuss our strategy for improving the Ajax Control Toolkit. Why the Ajax Control Toolkit? The Ajax Control Toolkit is one of the most popular projects on CodePlex. In fact, some have argued that it is among the most successful open-source projects of all time. It consistently receives over 3,500 downloads a day (not weekends -- workdays). A mind-boggling number of developers use the Ajax Control Toolkit in their ASP.NET Web Forms applications. Why does the Ajax Control Toolkit continue to be such a popular project? The Ajax Control Toolkit fills a strong need in the ASP.NET Web Forms world. The Toolkit enables Web Forms developers to build richly interactive JavaScript applications without writing any JavaScript. For example, by taking advantage of the Ajax Control Toolkit, a Web Forms developer can add modal dialogs, popup calendars, and client tabs to a web application simply by dragging web controls onto a page. The Ajax Control Toolkit is not for everyone. If you are comfortable writing JavaScript then I recommend that you investigate using jQuery plugins instead of the Ajax Control Toolkit. However, if you are a Web Forms developer and you don’t want to get your hands dirty writing JavaScript, then the Ajax Control Toolkit is a great solution. The Ajax Control Toolkit is Vast The Ajax Control Toolkit consists of 40 controls. That’s a lot of controls (For the sake of comparison, jQuery UI consists of only 8 controls – those slackers J). Furthermore, developers expect the Ajax Control Toolkit to work on browsers both old and new. For example, people expect the Ajax Control Toolkit to work with Internet Explorer 6 and Internet Explorer 9 and every version of Internet Explorer in between. People also expect the Ajax Control Toolkit to work on the latest versions of Mozilla Firefox, Apple Safari, and Google Chrome. And, people expect the Ajax Control Toolkit to work with different operating systems. Yikes, that is a lot of combinations. The biggest challenge which my company faces in supporting the Ajax Control Toolkit is ensuring that the Ajax Control Toolkit works across all of these different browsers and operating systems. Testing, Testing, Testing Because we wanted to ensure that we could easily test the Ajax Control Toolkit with different browsers, the very first thing that we did was to set up a dedicated testing server. The dedicated server -- named Schizo -- hosts 4 virtual machines so that we can run Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, and Internet Explorer 9 at the same time (We also use the virtual machines to host the latest versions of Firefox, Chrome, Opera, and Safari). The five developers on our team (plus me) can each publish to a separate FTP website on the testing server. That way, we can quickly test how changes to the Ajax Control Toolkit affect different browsers. QUnit Tests for the Ajax Control Toolkit Introducing regressions – introducing new bugs when trying to fix existing bugs – is the concern which prevents me from sleeping well at night. There are so many people using the Ajax Control Toolkit in so many unique scenarios, that it is difficult to make improvements to the Ajax Control Toolkit without introducing regressions. In order to avoid regressions, we decided early on that it was extremely important to build good test coverage for the 40 controls in the Ajax Control Toolkit. We’ve been focusing a lot of energy on building automated JavaScript unit tests which we can use to help us discover regressions. We decided to write the unit tests with the QUnit test framework. We picked QUnit because it is quickly becoming the standard unit testing framework in the JavaScript world. For example, it is the unit testing framework used by the jQuery team, the jQuery UI team, and many jQuery UI plugin developers. We had to make several enhancements to the QUnit framework in order to test the Ajax Control Toolkit. For example, QUnit does not support tests which include postbacks. We modified the QUnit framework so that it works with IFrames so we could perform postbacks in our automated tests. At this point, we have written hundreds of QUnit tests. For example, we have written 135 QUnit tests for the Accordion control. The QUnit tests are included with the Ajax Control Toolkit source code in a project named AjaxControlToolkit.Tests. You can run all of the QUnit tests contained in the project by opening the Default.aspx page. Automating the QUnit Tests across Multiple Browsers Automated tests are useless if no one ever runs them. In order for the QUnit tests to be useful, we needed an easy way to run the tests automatically against a matrix of browsers. We wanted to run the unit tests against Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, Internet Explorer 9, Firefox, Chrome, and Safari automatically. Expecting a developer to run QUnit tests against every browser after every check-in is just too much to expect. It takes 20 seconds to run the Accordion QUnit tests. We are testing against 8 browsers. That would require the developer to open 8 browsers and wait for the results after each change in code. Too much work. Therefore, we built a JavaScript Test Server. Our JavaScript Test Server project was inspired by John Resig’s TestSwarm project. The JavaScript Test Server runs our QUnit tests in a swarm of browsers (running on different operating systems) automatically. Here’s how the JavaScript Test Server works: 1. We created an ASP.NET page named RunTest.aspx that constantly polls the JavaScript Test Server for a new set of QUnit tests to run. After the RunTest.aspx page runs the QUnit tests, the RunTest.aspx records the test results back to the JavaScript Test Server. 2. We opened the RunTest.aspx page on instances of Internet Explorer 6, Internet Explorer 7, Internet Explorer 8, Internet Explorer 9, FireFox, Chrome, Opera, Google, and Safari. Now that we have the JavaScript Test Server setup, we can run all of our QUnit tests against all of the browsers which we need to support with a single click of a button. A New Release of the Ajax Control Toolkit Each Month The Ajax Control Toolkit Issue Tracker contains over one thousand five hundred open issues and feature requests. So we have plenty of work on our plates J At CodePlex, anyone can vote for an issue to be fixed. Originally, we planned to fix issues in order of their votes. However, we quickly discovered that this approach was inefficient. Constantly switching back and forth between different controls was too time-consuming. It takes time to re-familiarize yourself with a control. Instead, we decided to focus on two or three controls each month and really focus on fixing the issues with those controls. This way, we can fix sets of related issues and avoid the randomization caused by context switching. Our team works in monthly sprints. We plan to do another release of the Ajax Control Toolkit each and every month. So far, we have competed one release of the Ajax Control Toolkit which was released on April 1, 2011. We plan to release a new version in early May. Conclusion Fortunately, I work with a team of smart developers. We currently have 5 developers working on the Ajax Control Toolkit (not full-time, they are also building two very cool ASP.NET MVC applications). All the developers who work on our team are required to have strong JavaScript, jQuery, and ASP.NET MVC skills. In the interest of being as transparent as possible about our work on the Ajax Control Toolkit, I plan to blog frequently about our team’s ongoing work. In my next blog entry, I plan to write about the two Ajax Control Toolkit controls which are the focus of our work for next release.

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• C# 4: The Curious ConcurrentDictionary

  - by James Michael Hare

  In my previous post (here) I did a comparison of the new ConcurrentQueue versus the old standard of a System.Collections.Generic Queue with simple locking.  The results were exactly what I would have hoped, that the ConcurrentQueue was faster with multi-threading for most all situations.  In addition, concurrent collections have the added benefit that you can enumerate them even if they're being modified. So I set out to see what the improvements would be for the ConcurrentDictionary, would it have the same performance benefits as the ConcurrentQueue did?  Well, after running some tests and multiple tweaks and tunes, I have good and bad news. But first, let's look at the tests.  Obviously there's many things we can do with a dictionary.  One of the most notable uses, of course, in a multi-threaded environment is for a small, local in-memory cache.  So I set about to do a very simple simulation of a cache where I would create a test class that I'll just call an Accessor.  This accessor will attempt to look up a key in the dictionary, and if the key exists, it stops (i.e. a cache "hit").  However, if the lookup fails, it will then try to add the key and value to the dictionary (i.e. a cache "miss").  So here's the Accessor that will run the tests: 1: internal class Accessor 2: { 3: public int Hits { get; set; } 4: public int Misses { get; set; } 5: public Func<int, string> GetDelegate { get; set; } 6: public Action<int, string> AddDelegate { get; set; } 7: public int Iterations { get; set; } 8: public int MaxRange { get; set; } 9: public int Seed { get; set; } 10:  11: public void Access() 12: { 13: var randomGenerator = new Random(Seed); 14:  15: for (int i=0; i<Iterations; i++) 16: { 17: // give a wide spread so will have some duplicates and some unique 18: var target = randomGenerator.Next(1, MaxRange); 19:  20: // attempt to grab the item from the cache 21: var result = GetDelegate(target); 22:  23: // if the item doesn't exist, add it 24: if(result == null) 25: { 26: AddDelegate(target, target.ToString()); 27: Misses++; 28: } 29: else 30: { 31: Hits++; 32: } 33: } 34: } 35: } Note that so I could test different implementations, I defined a GetDelegate and AddDelegate that will call the appropriate dictionary methods to add or retrieve items in the cache using various techniques. So let's examine the three techniques I decided to test: Dictionary with mutex - Just your standard generic Dictionary with a simple lock construct on an internal object. Dictionary with ReaderWriterLockSlim - Same Dictionary, but now using a lock designed to let multiple readers access simultaneously and then locked when a writer needs access. ConcurrentDictionary - The new ConcurrentDictionary from System.Collections.Concurrent that is supposed to be optimized to allow multiple threads to access safely. So the approach to each of these is also fairly straight-forward.  Let's look at the GetDelegate and AddDelegate implementations for the Dictionary with mutex lock: 1: var addDelegate = (key,val) => 2: { 3: lock (_mutex) 4: { 5: _dictionary[key] = val; 6: } 7: }; 8: var getDelegate = (key) => 9: { 10: lock (_mutex) 11: { 12: string val; 13: return _dictionary.TryGetValue(key, out val) ? val : null; 14: } 15: }; Nothing new or fancy here, just your basic lock on a private object and then query/insert into the Dictionary. Now, for the Dictionary with ReadWriteLockSlim it's a little more complex: 1: var addDelegate = (key,val) => 2: { 3: _readerWriterLock.EnterWriteLock(); 4: _dictionary[key] = val; 5: _readerWriterLock.ExitWriteLock(); 6: }; 7: var getDelegate = (key) => 8: { 9: string val; 10: _readerWriterLock.EnterReadLock(); 11: if(!_dictionary.TryGetValue(key, out val)) 12: { 13: val = null; 14: } 15: _readerWriterLock.ExitReadLock(); 16: return val; 17: }; And finally, the ConcurrentDictionary, which since it does all it's own concurrency control, is remarkably elegant and simple: 1: var addDelegate = (key,val) => 2: { 3: _concurrentDictionary[key] = val; 4: }; 5: var getDelegate = (key) => 6: { 7: string s; 8: return _concurrentDictionary.TryGetValue(key, out s) ? s : null; 9: };                    Then, I set up a test harness that would simply ask the user for the number of concurrent Accessors to attempt to Access the cache (as specified in Accessor.Access() above) and then let them fly and see how long it took them all to complete.  Each of these tests was run with 10,000,000 cache accesses divided among the available Accessor instances.  All times are in milliseconds. 1: Dictionary with Mutex Locking 2: --------------------------------------------------- 3: Accessors Mostly Misses Mostly Hits 4: 1 7916 3285 5: 10 8293 3481 6: 100 8799 3532 7: 1000 8815 3584 8:  9:  10: Dictionary with ReaderWriterLockSlim Locking 11: --------------------------------------------------- 12: Accessors Mostly Misses Mostly Hits 13: 1 8445 3624 14: 10 11002 4119 15: 100 11076 3992 16: 1000 14794 4861 17:  18:  19: Concurrent Dictionary 20: --------------------------------------------------- 21: Accessors Mostly Misses Mostly Hits 22: 1 17443 3726 23: 10 14181 1897 24: 100 15141 1994 25: 1000 17209 2128 The first test I did across the board is the Mostly Misses category.  The mostly misses (more adds because data requested was not in the dictionary) shows an interesting trend.  In both cases the Dictionary with the simple mutex lock is much faster, and the ConcurrentDictionary is the slowest solution.  But this got me thinking, and a little research seemed to confirm it, maybe the ConcurrentDictionary is more optimized to concurrent "gets" than "adds".  So since the ratio of misses to hits were 2 to 1, I decided to reverse that and see the results. So I tweaked the data so that the number of keys were much smaller than the number of iterations to give me about a 2 to 1 ration of hits to misses (twice as likely to already find the item in the cache than to need to add it).  And yes, indeed here we see that the ConcurrentDictionary is indeed faster than the standard Dictionary here.  I have a strong feeling that as the ration of hits-to-misses gets higher and higher these number gets even better as well.  This makes sense since the ConcurrentDictionary is read-optimized. Also note that I tried the tests with capacity and concurrency hints on the ConcurrentDictionary but saw very little improvement, I think this is largely because on the 10,000,000 hit test it quickly ramped up to the correct capacity and concurrency and thus the impact was limited to the first few milliseconds of the run. So what does this tell us?  Well, as in all things, ConcurrentDictionary is not a panacea.  It won't solve all your woes and it shouldn't be the only Dictionary you ever use.  So when should we use each? Use System.Collections.Generic.Dictionary when: You need a single-threaded Dictionary (no locking needed). You need a multi-threaded Dictionary that is loaded only once at creation and never modified (no locking needed). You need a multi-threaded Dictionary to store items where writes are far more prevalent than reads (locking needed). And use System.Collections.Concurrent.ConcurrentDictionary when: You need a multi-threaded Dictionary where the writes are far more prevalent than reads. You need to be able to iterate over the collection without locking it even if its being modified. Both Dictionaries have their strong suits, I have a feeling this is just one where you need to know from design what you hope to use it for and make your decision based on that criteria.

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• How to Add Proprietary Drivers to Ubuntu 10.04

  - by Matthew Guay

  Does the hardware on your Ubuntu system need proprietary drivers work at peak performance?  Today we take a look how easy version 10.04 makes it to install them. Ubuntu 10.04 finally automatically recognizes and installs drivers for most hardware today, it even recognized and configured Wi-Fi drivers correctly every time in our tests.  This is in contrast to the past, when it was often difficult to get hardware to work in Linux.  However, most video cards still need proprietary drivers from their manufacturer to get full hardware video acceleration. Even though Ubuntu doesn’t include any non-open source components, it still makes it easy to install proprietary drivers if you wish.  When you first install and boot into Ubuntu, you may see a popup informing you that “restricted” drivers are available. You may see a notification asking you if you’d like to install optional drivers from your graphics card manufacturer when you try to enable advanced desktop effects.  Click Enable to directly install the drivers right there. Or, you can select the tray icon from the first popup, and click Install drivers. Alternately, if the tray icon has disappeared, click System, then Administration, and select Hardware Drivers.   This will open a dialog showing all the proprietary drivers available for your system, which may include drivers for your video card and other hardware depending on your computer.  Select the driver you wish to install, and click Activate. Enter your password, and then Ubuntu will download and install the driver without any more input.  After installation you may be prompted to reboot your system. Now, you should be able to take full advantage of your hardware, including fancy desktop effects with hardware acceleration. If you ever wish to remove these drivers, simply re-open the drivers dialog as above, select the driver, and click Remove.  Once again, a reboot may be required to finish the process. Conclusion Ubuntu has definitely made it easier to use Linux on your desktop computer, no matter what hardware you have.  If your video card or other hardware require proprietary drivers, it makes them available and simple to install.  And, best of all, all of your drivers stay updated with your software updates, so you can be sure you’re always running the latest. Similar Articles Productive Geek Tips Adding extra Repositories on UbuntuBackup and Restore Hardware Drivers the Easy Way with Double DriverCopy Windows Drivers From One Machine to AnotherInstalling PHP4 and Apache on UbuntuInstalling PHP5 and Apache on Ubuntu TouchFreeze Alternative in AutoHotkey The Icy Undertow Desktop Windows Home Server – Backup to LAN The Clear & Clean Desktop Use This Bookmarklet to Easily Get Albums Use AutoHotkey to Assign a Hotkey to a Specific Window Latest Software Reviews Tinyhacker Random Tips CloudBerry Online Backup 1.5 for Windows Home Server Snagit 10 VMware Workstation 7 Acronis Online Backup Gmail Button Addon (Firefox) Hyperwords addon (Firefox) Backup Outlook 2010 Daily Motivator (Firefox) FetchMp3 Can Download Videos & Convert Them to Mp3 Use Flixtime To Create Video Slideshows

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• Oracle Linux 6 DVDs Now Available

  - by sergio.leunissen

  On Sunday 6 February 2011, Oracle Linux 6 was released on the Unbreakable Linux Network for customers with an Oracle Linux support subscription. Shortly after that, the Oracle Linux 6 RPMs were made available on our public yum server. Today we published the installation DVD images on edelivery.oracle.com/linux. Oracle Linux 6 is free to download, install and use. The full release notes are here, but similar to my recent post about Oracle Linux 5.6, I wanted to highlight a few items about this release. Unbreakable Enterprise Kernel As is the case with Oracle Linux 5.6, the default installed kernel on x86_64 platform in Oracle Linux 6 is the Unbreakable Enterprise Kernel. If you haven't already, I highly recommend you watch the replay of this webcast by Chris Mason on the performance improvements made in this kernel. # uname -r 2.6.32-100.28.5.el6.x86_64 The Unbreakable Enterprise Kernel is delivered via the package kernel-uek: [root@localhost ~]# yum info kernel-uek ... Installed Packages Name : kernel-uek Arch : x86_64 Version : 2.6.32 Release : 100.28.5.el6 Size : 84 M Repo : installed From repo : anaconda-OracleLinuxServer-201102031546.x86_64 Summary : The Linux kernel URL : http://www.kernel.org/ License : GPLv2 Description: The kernel package contains the Linux kernel (vmlinuz), the core of : any Linux operating system. The kernel handles the basic functions : of the operating system: memory allocation, process allocation, : device input and output, etc. ext4 file system The ext4 or fourth extended filesystem replaces ext3 as the default filesystem in Oracle Linux 6. # mount /dev/mapper/VolGroup-lv_root on / type ext4 (rw) proc on /proc type proc (rw) sysfs on /sys type sysfs (rw) devpts on /dev/pts type devpts (rw,gid=5,mode=620) tmpfs on /dev/shm type tmpfs (rw,rootcontext="system_u:object_r:tmpfs_t:s0") /dev/sda1 on /boot type ext4 (rw) none on /proc/sys/fs/binfmt_misc type binfmt_misc (rw) Red Hat compatible kernel Oracle Linux 6 also includes a Red Hat compatible kernel built directly from RHEL source. It's already installed, so booting it is a matter of editing /etc/grub.conf # rpm -qa | grep kernel-2.6.32 kernel-2.6.32-71.el6.x86_64 Oracle Linux 6 no longer includes a Red Hat compatible kernel with Oracle bug fixes. The only Red Hat compatible kernel included is the one built directly from RHEL source. Yum-only access to Unbreakable Linux Network (ULN) Oracle Linux 6 uses yum exclusively for access to Unbreakable Linux Network. To register your system with ULN, use the following command: # uln_register No Itanium Support Oracle Linux 6 is not supported on the Itanium (ia64) platform. Next Steps Read the release notes Download Oracle Linux 6 for free Discuss on the Oracle Linux forum

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• Older SAS1 hardware Vs. newer SAS2 hardware

  - by user12620172

  I got a question today from someone asking about the older SAS1 hardware from over a year ago that we had on the older 7x10 series. They didn't leave an email so I couldn't respond directly, but I said this blog would be blunt, frank, and open so I have no problem addressing it publicly. A quick history lesson here: When Sun first put out the 7x10 family hardware, the 7410 and 7310 used a SAS1 backend connection to a JBOD that had SATA drives in it. This JBOD was not manufactured by Sun nor did Sun own the IP for it. Now, when Oracle took over, they had a problem with that, and I really can’t blame them. The decision was made to cut off that JBOD and it’s manufacturer completely and use our own where Oracle controlled both the IP and the manufacturing. So in the summer of 2010, the cut was made, and the 7410 and 7310 had a hardware refresh and now had a SAS2 backend going to a SAS2 JBOD with SAS2 drives instead of SATA. This new hardware had two big advantages. First, there was a nice performance increase, mostly due to the faster backend. Even better, the SAS2 interface on the drives allowed for a MUCH faster failover between cluster heads, as the SATA drives were the bottleneck on the older hardware. In September of 2010 there was a major refresh of the rest of the 7000 hardware, the controllers and the other family members, and that’s where we got today’s current line-up of the 7x20 series. So the 7x20 has always used the new trays, and the 7410 and 7310 have used the new SAS2 trays since last July of 2010. Now for the bad news. People who have the 7410 and 7310 from BEFORE the July 2010 cutoff have the models with SAS1 HBAs in them to connect to the older SAS1 trays. Remember, that manufacturer cut all ties with us and stopped making the JBOD, so there’s just no way to get more of them, as they don’t exist. There are some options, however. Oracle support does support taking out the SAS1 HBAs in the old 7410 and 7310 and put in newer SAS2 HBAs which can talk to the new trays. Hey, I didn’t say it was a great option, I just said it’s an option. I fully realize that you would then have a SAS1 JBOD full of SATA drives that you could no longer connect. I do know a client that did this, and took the SAS1 JBOD and connected it to another server and formatted the drives and is using it as a plain, non-7000 JBOD. This is not supported by Oracle support. The other option is to just keep it as-is, as it works just fine, but you just can’t expand it. Then you can get a newer 7x20 series, and use the built-in ZFSSA replication feature to move the data over. Now you can use the newer one for your production data and use the older one for DR, snaps and clones.

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• Merge Join component sorted outputs [SSIS]

  - by jamiet

  One question that I have been asked a few times of late in regard to performance tuning SSIS data flows is this: Why isn’t the Merge Join output sorted (i.e.IsSorted=True)? This is a fair question. After all both of the Merge Join inputs are sorted, hence why wouldn’t the output be sorted as well? Well here’s a little secret, the Merge Join output IS sorted! There’s a caveat though – it is only under certain circumstances and SSIS itself doesn’t do a good job of informing you of it. Let’s take a look at an example. Here we have a dataflow that consumes data from the [AdventureWorks2008].[Sales].[SalesOrderHeader] & [AdventureWorks2008].[Sales].[SalesOrderDetail] tables then joins them using a Merge Join component: Let’s take a look inside the editor of the Merge Join: We are joining on the [SalesOrderId] field (which is what the two inputs just happen to be sorted upon). We are also putting [SalesOrderHeader].[SalesOrderId] into the output. Believe it or not the output from this Merge Join component is sorted (i.e. has IsSorted=True) but unfortunately the Merge Join component does not have an Advanced Editor hence it is hidden away from us. There are a couple of ways to prove to you that is the case; I could open up the package XML inside the .dtsx file and show you the metadata but there is an easier way than that – I can attach a Sort component to the output. Take a look: Notice that the Sort component is attempting to sort on the [SalesOrderId] column. This gives us the following warning: Validation warning. DFT Get raw data: {992B7C9A-35AD-47B9-A0B0-637F7DDF93EB}: The data is already sorted as specified so the transform can be removed. The warning proves that the output from the Merge Join is sorted! It must be noted that the Merge Join output will only have IsSorted=True if at least one of the join columns is included in the output. So there you go, the Merge Join component can indeed produce a sorted output and that’s very useful in order to avoid unnecessary expensive Sort operations downstream. Hope this is useful to someone out there! @Jamiet  P.S. Thank you to Bob Bojanic on the SSIS product team who pointed this out to me!

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• Best Practices for Building a Virtualized SPARC Computing Environment

  - by Scott Elvington

  Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Oracle just published Best Practices for Building a Virtualized SPARC Computing Environment, a white paper that provides guidance on the complete hardware and software stack for deploying and managing your physical and virtual SPARC infrastructure. The solution is based on Oracle SPARC T4 servers, Oracle Solaris 11 with Oracle VM for SPARC 2.2, Sun ZFS storage appliances, Sun 10GbE 72 port switches and Oracle Enterprise Manager Ops Center 12c. The paper emphasizes the value and importance of planning the resources (compute, network and storage) that will comprise the virtualized environment to achieve the desired capacity, performance and availability characteristics. The document also details numerous operational best practices that will help you deliver on those characteristics with unique capabilities provided by Enterprise Manager Ops Center including policy-based guest placement, pool resource balancing and automated guest recovery in the event of server failure. Plenty of references to supplementary documentation are included to help point you to additional resources. Whether you’re building the first stages of your private cloud or a general-purpose virtualized SPARC computing environment, these documented best practices will help ensure success. Please join Phil Bullinger and Steve Wilson from Oracle to learn more about breakthrough efficiency in private cloud infrastructure and how SPARC based virtualization can help you get started on your cloud journey. Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• SQL SERVER – FT_IFTS_SCHEDULER_IDLE_WAIT – Full Text – Wait Type – Day 13 of 28

  - by pinaldave

  In the last few days during this series, I got many question about this Wait type. It would be great if you read my original related wait stats query in the first post because I have filtered it out in WHERE clause. However, I still get questions about this being one of the most wait types they encounter. The truth is, this is a background task processing and it really does not matter and it should be filtered out. There are many new Wait types related to Full Text Search that are introduced in SQL Server 2008. If you run the following query, you will be able to find them in the list. Currently there is not enough information for all of them available on BOL or any other place. But don’t worry; I will write an in-depth article when I learn more about them. SELECT * FROM sys.dm_os_wait_stats WHERE wait_type LIKE 'FT_%' The result set will contain following rows. FT_RESTART_CRAWL FT_METADATA_MUTEX FT_IFTSHC_MUTEX FT_IFTSISM_MUTEX FT_IFTS_RWLOCK FT_COMPROWSET_RWLOCK FT_MASTER_MERGE FT_IFTS_SCHEDULER_IDLE_WAIT We have understood so far that there is not much information available. But the problem is when you have this Wait type, what should you do?  The answer is to filter them out for the moment (i.e, do not pay attention on them) and focus on other pressing issues in wait stats or performance tuning. Here are two of my informal suggestions, which are totally independent from wait stats: Turn off the Full Text Search service in your system if you are  not necessarily using it on your server. Learn proper Full Text Search methodology. You can get Michael Coles’ book: Pro Full-Text Search in SQL Server 2008. Now I invite you to speak out your suggestions or any input regarding Full Text-related best practices and wait stats issue. Please leave a comment. Note: The information presented here is from my experience and there is no way that I claim it to be accurate. I suggest reading Book OnLine for further clarification. All the discussions of Wait Stats in this blog are generic and vary from system to system. It is recommended that you test this on a development server before implementing it to a production server. Reference: Pinal Dave (http://blog.SQLAuthority.com) Filed under: Pinal Dave, PostADay, SQL, SQL Authority, SQL Query, SQL Scripts, SQL Server, SQL Tips and Tricks, SQL Wait Stats, SQL Wait Types, T SQL, Technology

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• A couple of nice features when using OracleTextSearch

  - by kyle.hatlestad

  If you have your UCM/URM instance configured to use the Oracle 11g database as the search engine, you can be using OracleTextSearch as the search definition. OracleTextSearch uses the advanced features of Oracle Text for indexing and searching. This includes the ability to specify metadata fields to be optimized for the search index, fast rebuilding, and index optimization. If you are on 10g of UCM, then you'll need to load the OracleTextSearch component that is available in the CS10gR35UpdateBundle component on the support site (patch #6907073). If you are on 11g, no component is needed. Then you specify the search indexer name with the configuration flag of SearchIndexerEngineName=OracleTextSearch. Please see the docs for other configuration settings and setup instructions. So I thought I would highlight a couple of other unique features available with OracleTextSearch. The first is the Drill Down feature. This feature allows you to specify specific metadata fields that will break down the results of that field based on the total results. So in the above graphic, you can see how it broke down the extensions and gives a count for each. Then you just need to click on that link to then drill into that result. This setting is perfect for option list fields and ones with a distinct set of values possible. By default, it will use the fields Type, Security Group, and Account (if enabled). But you can also specify your own fields. In 10g, you can use the following configuration entry: DrillDownFields=xWebsiteObjectType,dExtension,dSecurityGroup,dDocType And in 11g, you can specify it through the Configuration Manager applet. Simply click on the Advanced Search Design, highlight the field to filter, click Edit, and check 'Is a filter category'. The other feature you get with OracleTextSearch are search snippets. These snippets show the occurrence of the search term in context of their usage. This is very similar to how Google displays its results. If you are on 10g, this is enabled by default. If you are on 11g, you need to turn on the feature. The following configuration entry will enable it: OracleTextDisableSearchSnippet=false Once enabled, you can add the snippets to your search results. Go to Change View -> Customize and add a new search result view. In the Available Fields in the Special section, select Snippet and move it to the Main or Additional Information. If you want to include the snippets with the Classic results, you can add the idoc variable of <$srfDocSnippet$> to display them. One caveat is that this can effect search performance on large collections. So plan the infrastructure accordingly.

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• Deployment Options for AutoVue 20.0 Users

  - by celine.beck

  AutoVue release 20.0 boasts a brand new architecture. As part of this product rearchitecture, AutoVue can now be deployed either as a desktop deployment to serve the needs of individual users in their personal productivity; or in a Client / Server deployment for those that require connections to enterprise applications / back-end systems. The most common question that we hear from our customers about this new architecture is the following: "Is AutoVue Desktop Version still part of release 20.0 and if so, what is the difference between AutoVue Desktop Version and the Desktop deployment of AutoVue release 20.0?" A detailed answer to these questions is provided in a very complete article entitled Understanding Deployment Options for AutoVue 19.3 Desktop Version users upgrading to AutoVue 20.0 (note 1058254.1) which was posted on My Oracle Support. Is AutoVue Desktop Version still part of AutoVue 20.0? Yes, AutoVue Desktop Version 20.0 is still available to customers and partners, as a maintenance release of AutoVue 19.3. As such, it will not contain any of the new capabilities featured in AutoVue release 20.0. All format enhancements and new format support have been added to release 20.0 Desktop Version though. What is the different between AutoVue Desktop Version 20.0 and the Desktop Deployment of AutoVue release 20.0? AutoVue 20.0 Desktop deployment works like the AutoVue Desktop version. It is installed as a standalone product on each user's machine and runs a local instance of AutoVue. The AutoVue 20.0 Desktop deployment includes all new features, formats and performance enhancements included in release 20.0 (walkthrough capability, improved compare, ...) What deployment options are available to AutoVue 19.3 Desktop Version customers? AutoVue Desktop Version users can evolve at their own pace to the new AutoVue platform. With release 20.0, customers can opt to: Option 1: Stay on AutoVue Desktop Version 20.0 Option 2: Migrate to AutoVue and select the desktop deployment method Option 3: Migrate to AutoVue and select the Client/Server deployment method What is the Client / Server deployment of AutoVue 20.0? The Client/Server deployment has AutoVue installed on a server, to which local client machines connect to access and view documents. AutoVue 20.0 Client Server Deployment allows users to leverage the new online/offline capabilities in release 20.0 and easily switch between online and offline modes of operation. With the Client/Server deployment, customers also get a complete, open and standards-based set of integration tools that allows them to tie AutoVue to any enterprise applications to provide users with a consistent view of data and business objects and expand workflow automation to document-based processes. Related articles: AutoVue Release 20.0 Now Available, New Walkthrough Capability in AutoVue 20.0, Watch the AutoVue 20.0 Release Webcast, April 27 at 12pm EST

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• Windows and SQL Azure Best Practices: Affinity Groups

  - by BuckWoody

  When you create a Windows Azure application, you’ll pick a subscription to put it under. This is a billing container - underneath that, you’ll deploy a Hosted Service. That holds the Web and Worker Roles that you’ll deploy for your applications. along side that, you use the Storage Account to create storage for the application. (In some cases, you might choose to use only storage or Roles - the info here applies anyway) As you are setting up your environment, you’re asked to pick a “region” where your application will run. If you choose a Region, you’ll be asked where to put the Roles. You’re given choices like Asia, North America and so on. This is where the hardware that physically runs your code lives. We have lots of fault domains, power considerations and so on to keep that set of datacenters running, but keep in mind that this is where the application lives. You also get this selection for Storage Accounts. When you make new storage, it’s a best practice to put it where your computing is. This makes the shortest path from the code to the data, and then back out to the user. One of the selections for the location is “Anywhere U.S.”. This selection might be interpreted to mean that we will bias towards keeping the data and the code together, but that may not be the case. There is a specific abstraction we created for just that purpose: Affinity Groups. An Affinity Group is simply a name you can use to tie together resources. You can do this in two places - when you’re creating the Hosted Service (shown above) and on it’s own tree item on the left, called “Affinity Groups”. When you select either of those actions, You’re presented with a dialog box that allows you to specify a name, and then the Region that  names ties the resources to. Now you can select that Affinity Group just as if it were a Region, and your code and data will stay together. That helps with keeping the performance high. Official Documentation: http://msdn.microsoft.com/en-us/library/windowsazure/hh531560.aspx

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• Oracle Enterprise Manager users present today at Oracle Users Forum

  - by Anand Akela

  Oracle Users Forum starts in a few minutes at Moscone West, Levels 2 & 3. There are more than hundreds of Oracle user sessions during the day. Many Oracle Oracle Enterprise Manager users are presenting today as well.  In addition, we will have a Twitter Chat today from 11:30 AM to 12:30 PM with IOUG leaders, Enterprise Manager SIG contributors and many speakers. You can participate in the chat using hash tag #em12c on Twitter.com or by going to  tweetchat.com/room/em12c      (Needs Twitter credential for participating).  Feel free to join IOUG and Enterprise team members at the User Group Pavilion on 2nd Floor, Moscone West. RSVP by going http://tweetvite.com/event/IOUG  . Don't miss the Oracle Open World welcome keynote by Larry Ellison this evening at 5 PM . Here is the complete list of Oracle Enterprise Manager sessions during the Oracle Users Forum : Time Session Title Speakers Location 8:00AM - 8:45AM UGF4569 - Oracle RAC Migration with Oracle Automatic Storage Management and Oracle Enterprise Manager 12c VINOD Emmanuel -Database Engineering, Dell, Inc. Wendy Chen - Sr. Systems Engineer, Dell, Inc. Moscone West - 2011 8:00AM - 8:45AM UGF10389 -  Monitoring Storage Systems for Oracle Enterprise Manager 12c Anand Ranganathan - Product Manager, NetApp Moscone West - 2016 9:00AM - 10:00AM UGF2571 - Make Oracle Enterprise Manager Sing and Dance with the Command-Line Interface Ray Smith - Senior Database Administrator, Portland General Electric Moscone West - 2011 10:30AM - 11:30AM UGF2850 - Optimal Support: Oracle Enterprise Manager 12c Cloud Control, My Oracle Support, and More April Sims - DBA, Southern Utah University Moscone West - 2011 12:30PM-2:00PM UGF5131 - Migrating from Oracle Enterprise Manager 10g Grid Control to 12c Cloud Control    Leighton Nelson - Database Administrator, Mercy Moscone West - 2011 2:15PM-3:15PM UGF6511 -  Database Performance Tuning: Get the Best out of Oracle Enterprise Manager 12c Cloud Control Mike Ault - Oracle Guru, TEXAS MEMORY SYSTEMS INC Tariq Farooq - CEO/Founder, BrainSurface Moscone West - 2011 3:30PM-4:30PM UGF4556 - Will It Blend? Verifying Capacity in Server and Database Consolidations Jeremiah Wilton - Database Technology, Blue Gecko / DatAvail Moscone West - 2018 3:30PM-4:30PM UGF10400 - Oracle Enterprise Manager 12c: Monitoring, Metric Extensions, and Configuration Best Practices Kellyn Pot'Vin - Sr. Technical Consultant, Enkitec Moscone West - 2011 Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Newsletter

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• SQL SERVER – Implementing IF … THEN in SQL SERVER with CASE Statements

  - by Pinal Dave

  Here is the question I received the other day in email. “I have business logic in my .net code and we use lots of IF … ELSE logic in our code. I want to move the logic to Stored Procedure. How do I convert the logic of the IF…ELSE to T-SQL. Please help.” I have previously received this answer few times. As data grows the performance problems grows more as well. Here is the how you can convert the logic of IF…ELSE in to CASE statement of SQL Server. Here are few of the examples: Example 1: If you are logic is as following: IF -1 < 1 THEN ‘TRUE’ ELSE ‘FALSE’ You can just use CASE statement as follows: -- SQL Server 2008 and earlier version solution SELECT CASE WHEN -1 < 1 THEN 'TRUE' ELSE 'FALSE' END AS Result GO -- SQL Server 2012 solution SELECT IIF ( -1 < 1, 'TRUE', 'FALSE' ) AS Result; GO If you are interested further about how IIF of SQL Server 2012 works read the blog post which I have written earlier this year . Well, in our example the condition which we have used is pretty simple but in the real world the logic can very complex. Let us see two different methods of how we an do CASE statement when we have logic based on the column of the table. Example 2: If you are logic is as following: IF BusinessEntityID < 10 THEN FirstName ELSE IF BusinessEntityID > 10 THEN PersonType FROM Person.Person p You can convert the same in the T-SQL as follows: SELECT CASE WHEN BusinessEntityID < 10 THEN FirstName WHEN BusinessEntityID > 10 THEN PersonType END AS Col, BusinessEntityID, Title, PersonType FROM Person.Person p However, if your logic is based on multiple column and conditions are complicated, you can follow the example 3. Example 3: If you are logic is as following: IF BusinessEntityID < 10 THEN FirstName ELSE IF BusinessEntityID > 10 AND Title IS NOT NULL THEN PersonType ELSE IF Title = 'Mr.' THEN 'Mister' ELSE 'No Idea' FROM Person.Person p You can convert the same in the T-SQL as follows: SELECT CASE WHEN BusinessEntityID < 10 THEN FirstName WHEN BusinessEntityID > 10 AND Title IS NOT NULL THEN PersonType WHEN Title = 'Mr.' THEN 'Mister' ELSE 'No Idea' END AS Col, BusinessEntityID, Title, PersonType FROM Person.Person p I hope this solution is good enough to convert the IF…ELSE logic to CASE Statement in SQL Server. Let me know if you need further information about the same. Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Function, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Sixeyed.Caching available now on NuGet and GitHub!

  - by Elton Stoneman

  Originally posted on: http://geekswithblogs.net/EltonStoneman/archive/2013/10/22/sixeyed.caching-available-now-on-nuget-and-github.aspxThe good guys at Pluralsight have okayed me to publish my caching framework (as seen in Caching in the .NET Stack: Inside-Out) as an open-source library, and it’s out now. You can get it here: Sixeyed.Caching source code on GitHub, and here: Sixeyed.Caching package v1.0.0 on NuGet. If you haven’t seen the course, there’s a preview here on YouTube: In-Process and Out-of-Process Caches, which gives a good flavour. The library is a wrapper around various cache providers, including the .NET MemoryCache, AppFabric cache, and  memcached*. All the wrappers inherit from a base class which gives you a set of common functionality against all the cache implementations: •    inherits OutputCacheProvider, so you can use your chosen cache provider as an ASP.NET output cache; •    serialization and encryption, so you can configure whether you want your cache items serialized (XML, JSON or binary) and encrypted; •    instrumentation, you can optionally use performance counters to monitor cache attempts and hits, at a low level. The framework wraps up different caches into an ICache interface, and it lets you use a provider directly like this: Cache.Memory.Get<RefData>(refDataKey); - or with configuration to use the default cache provider: Cache.Default.Get<RefData>(refDataKey); The library uses Unity’s interception framework to implement AOP caching, which you can use by flagging methods with the [Cache] attribute: [Cache] public RefData GetItem(string refDataKey) - and you can be more specific on the required cache behaviour: [Cache(CacheType=CacheType.Memory, Days=1] public RefData GetItem(string refDataKey) - or really specific: [Cache(CacheType=CacheType.Disk, SerializationFormat=SerializationFormat.Json, Hours=2, Minutes=59)] public RefData GetItem(string refDataKey) Provided you get instances of classes with cacheable methods from the container, the attributed method results will be cached, and repeated calls will be fetched from the cache. You can also set a bunch of cache defaults in application config, like whether to use encryption and instrumentation, and whether the cache system is enabled at all: <sixeyed.caching enabled="true"> <performanceCounters instrumentCacheTotalCounts="true" instrumentCacheTargetCounts="true" categoryNamePrefix ="Sixeyed.Caching.Tests"/> <encryption enabled="true" key="1234567890abcdef1234567890abcdef" iv="1234567890abcdef"/> <!-- key must be 32 characters, IV must be 16 characters--> </sixeyed.caching> For AOP and methods flagged with the cache attribute, you can override the compile-time cache settings at runtime with more config (keyed by the class and method name): <sixeyed.caching enabled="true"> <targets> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheConfiguredInternal" enabled="false"/> <target keyPrefix="MethodLevelCachingStub.GetRandomIntCacheExpiresConfiguredInternal" seconds="1"/> </targets> It’s released under the MIT license, so you can use it freely in your own apps and modify as required. I’ll be adding more content to the GitHub wiki, which will be the main source of documentation, but for now there’s an FAQ to get you started. * - in the course the framework library also wraps NCache Express, but there's no public redistributable library that I can find, so it's not in Sixeyed.Caching.

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• What’s new in Silverlight 4 RC?

  - by pluginbaby

  I am here in Las Vegas for MIX10 where Scott Guthrie announced today the release of Silverlight 4 RC and the Visual Studio 2010 tools. You can now install VS2010 RC!!! As always, downloads links are here: www.silverlight.net He also said that the final version of Silverlight 4 will come next month (so april)! 4 months ago, I wrote a blog post on the new features of Silverlight 4 beta, so… what’s new in the RC ?   Rich Text · RichTextArea renamed to RichTextBox · Text position and selection APIs · “Xaml” property for serializing text content · XAML clipboard format · FlowDirection support on Runs tag · “Format then type” support when dragging controls to the designer · Thai/Vietnamese/Indic support · UI Automation Text pattern   Networking · UploadProgress support (Client stack) · Caching support (Client stack) · Sockets security restrictions removal (Elevated Trust) · Sockets policy file retrieval via HTTP · Accept-Language header   Out of Browser (Elevated Trust) · XAP signing · Silent install and emulation mode · Custom window chrome · Better support for COM Automation · Cancellable shutdown event · Updated security dialogs   Media · Pinned full-screen mode on secondary display · Webcam/Mic configuration preview · More descriptive MediaSourceStream errors · Content & Output protection updates · Updates to H.264 content protection (ClearNAL) · Digital Constraint Token · CGMS-A · Multicast · Graphics card driver validation & revocation   Graphics and Printing · HW accelerated Perspective Transforms · Ability to query page size and printable area · Memory usage and perf improvements   Data · Entity-level validation support of INotifyDataErrorInfo for DataGrid · XPath support for XML   Parser · New architecture enables future innovation · Performance and stability improvements · XmlnsPrefix & XmlnsDefinition attributes · Support setting order-dependent properties   Globalization & Localization · Support for 31 new languages · Arabic, Hebrew and Thai input on Mac · Indic support   More … · Update to DeepZoom code base with HW acceleration · Support for Private mode browsing · Google Chrome support (Windows) · FrameworkElement.Unloaded event · HTML Hosting accessibility · IsoStore perf improvements · Native hosting perf improvements (e.g., Bing Toolbar) · Consistency with Silverlight for Mobile APIs and Tooling · SDK   - System.Numerics.dll   - Dynamic XAP support (MEF)   - Frame/Navigation refresh support   That’s a lot!   You will find more details on the following links: http://timheuer.com/blog/archive/2010/03/15/whats-new-in-silverlight-4-rc-mix10.aspx http://www.davidpoll.com/2010/03/15/new-in-the-silverlight-4-rc-xaml-features/   Technorati Tags: Silverlight

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• Java Spotlight Episode 139: Mark Heckler and José Pereda on JES based Energy Monitoring @MkHeck @JPeredaDnr

  - by Roger Brinkley

  Interview with Mark Heckler and José Pereda on using JavaSE Embedded with the Java Embedded Suite on a RaspberryPI along with a JavaFX client to monitor an energy production system and their JavaOne Tutorial- Java Embedded EXTREME MASHUPS: Building self-powering sensor nets for the IoT Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link: Java Spotlight Podcast in iTunes. Show Notes News Java Virtual Developer Day Session Videos Available JavaFX Maven Plugin 2.0 Released JavaFX Scene Builder 1.1 build b28 FXForm 2 release 0.2.2 OpenJDK8/Zero cross compile build for Foundation model HSAIL-based GPU offload: the Quest for Java Performance Begins Progress on Moving to Gradle Java EE 7 Launch Keynote Replay Java EE 7 Technical Breakouts Replay Java EE 7 support in NetBeans 7.3.1 Java EE 7 support in Eclipse 4.3 Java Magazine - May/June Events Jul 16-19, Uberconf, Denver, USA Jul 22-24, JavaOne Shanghai, China Jul 29-31, JVM Language Summit, Santa Clara Sep 11-12, JavaZone, Oslo, Norway Sep 19-20, Strange Loop, St. Louis Sep 22-26 JavaOne San Francisco 2013, USA Feature Interview Mark Heckler is an Oracle Corporation Java/Middleware/Core Tech Engineer with development experience in numerous environments. He has worked for and with key players in the manufacturing, emerging markets, retail, medical, telecom, and financial industries to develop and deliver critical capabilities on time and on budget. Currently, he works primarily with large government customers using Java throughout the stack and across the enterprise. He also participates in open-source development at every opportunity, being a JFXtras project committer and developer of DialogFX, MonologFX, and various other projects. When Mark isn't working with Java, he enjoys writing about his experiences at the Java Jungle website (https://blogs.oracle.com/javajungle/) and on Twitter (@MkHeck). José Pereda is a Structural Engineer working in the School of Engineers in the University of Valladolid in Spain for more than 15 years, and his passion is related to applying programming to solve real problems. Being involved with Java since 1999, José shares his time between JavaFX and the Embedded world, developing commercial applications and open source projects (https://github.com/jperedadnr), and blogging (http://jperedadnr.blogspot.com.es/) or tweeting (@JPeredaDnr) of both. What’s Cool AquaFX 0.1 - Mac OS X skin for JavaFX by Claudine Zillmann DromblerFX adds a docking framework Part 2 of Gerrit’s taming the Nashorn for writing JavaFX apps in Javascript Tool from mihosoft called JSelect for quickly switching JDKs Apache Maven Javadoc Plugin 2.9.1 Released Proposal: Java Concurrency Stress tests (jcstress) Slide-free Code-driven session at SV JUG JavaOne approvals/rejects gone out

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• Big Data – Buzz Words: What is NoSQL – Day 5 of 21

  - by Pinal Dave

  In yesterday’s blog post we explored the basic architecture of Big Data . In this article we will take a quick look at one of the four most important buzz words which goes around Big Data – NoSQL. What is NoSQL? NoSQL stands for Not Relational SQL or Not Only SQL. Lots of people think that NoSQL means there is No SQL, which is not true – they both sound same but the meaning is totally different. NoSQL does use SQL but it uses more than SQL to achieve its goal. As per Wikipedia’s NoSQL Database Definition – “A NoSQL database provides a mechanism for storage and retrieval of data that uses looser consistency models than traditional relational databases.“ Why use NoSQL? A traditional relation database usually deals with predictable structured data. Whereas as the world has moved forward with unstructured data we often see the limitations of the traditional relational database in dealing with them. For example, nowadays we have data in format of SMS, wave files, photos and video format. It is a bit difficult to manage them by using a traditional relational database. I often see people using BLOB filed to store such a data. BLOB can store the data but when we have to retrieve them or even process them the same BLOB is extremely slow in processing the unstructured data. A NoSQL database is the type of database that can handle unstructured, unorganized and unpredictable data that our business needs it. Along with the support to unstructured data, the other advantage of NoSQL Database is high performance and high availability. Eventual Consistency Additionally to note that NoSQL Database may not provided 100% ACID (Atomicity, Consistency, Isolation, Durability) compliance.  Though, NoSQL Database does not support ACID they provide eventual consistency. That means over the long period of time all updates can be expected to propagate eventually through the system and data will be consistent. Taxonomy Taxonomy is the practice of classification of things or concepts and the principles. The NoSQL taxonomy supports column store, document store, key-value stores, and graph databases. We will discuss the taxonomy in detail in later blog posts. Here are few of the examples of the each of the No SQL Category. Column: Hbase, Cassandra, Accumulo Document: MongoDB, Couchbase, Raven Key-value : Dynamo, Riak, Azure, Redis, Cache, GT.m Graph: Neo4J, Allegro, Virtuoso, Bigdata As of now there are over 150 NoSQL Database and you can read everything about them in this single link. Tomorrow In tomorrow’s blog post we will discuss Buzz Word – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Internet Explorer 9 RC Now Available: Here’s the Most Interesting New Stuff

  - by The Geek

  Yesterday Microsoft announced the release candidate of Internet Explorer 9, which is very close to the final product. Here’s a screenshot tour of the most interesting new stuff, as well as answers to your questions. The most important question is should you install this version? And the answer is absolutely yes. Even if you don’t use IE, it’s better to have a newer, more secure version on your PC. What’s New Under the Hood in Release Candidate vs Beta? If you want to see the full list of changes with all the original marketing detail, you can read Microsoft’s Beauty of the Web page, but here’s the highlights that you might be interested in. Improved Performance – they’ve made a lot of changes, and it really feels faster, especially when using more intensive web apps like Gmail. Power Consumption Settings – since the JavaScript engine in any browser uses a lot of CPU power, they’ve now integrated it into the power settings, so if you’re on battery it will use less CPU, and save battery life. This is really a great change. UI Changes – The tab bar can now be moved below the address bar (see below for more), they’ve shaved some pixels off the design to save space, and now you can toggle the Menu bar to be always on. Pinned Sites – now you can pin multiple pages to a single taskbar button. Very useful if you always use a couple web apps together. You can also pin a site in InPrivate mode. FlashBlock and AdBlock are Integrated (sorta) – there’s a new ActiveX filtering that lets you enable plug-ins only for sites you trust. There’s also a tracking protection list that can block certain content (which can obviously be used to block ads). Geolocation – while a lot of privacy conscious people might complain about this, if you use your laptop while traveling, it’s really useful to have geo-located features when using Google Maps, etc. Don’t worry, it won’t leak your privacy by default. WebM Video – Yeah, Google recently removed H.264 from Chrome, but Microsoft has added Google’s WebM video format to Internet Explorer. Keep reading for more about using the new features Latest Features How-To Geek ETC Internet Explorer 9 RC Now Available: Here’s the Most Interesting New Stuff Here’s a Super Simple Trick to Defeating Fake Anti-Virus Malware How to Change the Default Application for Android Tasks Stop Believing TV’s Lies: The Real Truth About "Enhancing" Images The How-To Geek Valentine’s Day Gift Guide Inspire Geek Love with These Hilarious Geek Valentines The 50 Faces of Mario Death [Infographic] Clean Up Google Calendar’s Interface in Chrome and Iron The Rise and Fall of Kramerica? [Seinfeld Video] GNOME Shell 3 Live CDs for OpenSUSE and Fedora Available for Testing Picplz Offers Special FX, Sharing, and Backup of Your Smartphone Pics BUILD! An Epic LEGO Stop Motion Film [VIDEO]

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• HPC Server Dynamic Job Scheduling: when jobs spawn jobs

  - by JoshReuben

  HPC Job Types HPC has 3 types of jobs http://technet.microsoft.com/en-us/library/cc972750(v=ws.10).aspx · Task Flow – vanilla sequence · Parametric Sweep – concurrently run multiple instances of the same program, each with a different work unit input · MPI – message passing between master & slave tasks But when you try go outside the box – job tasks that spawn jobs, blocking the parent task – you run the risk of resource starvation, deadlocks, and recursive, non-converging or exponential blow-up. The solution to this is to write some performance monitoring and job scheduling code. You can do this in 2 ways: manually control scheduling - allocate/ de-allocate resources, change job priorities, pause & resume tasks , restrict long running tasks to specific compute clusters Semi-automatically - set threshold params for scheduling. How – Control Job Scheduling In order to manage the tasks and resources that are associated with a job, you will need to access the ISchedulerJob interface - http://msdn.microsoft.com/en-us/library/microsoft.hpc.scheduler.ischedulerjob_members(v=vs.85).aspx This really allows you to control how a job is run – you can access & tweak the following features: max / min resource values whether job resources can grow / shrink, and whether jobs can be pre-empted, whether the job is exclusive per node the creator process id & the job pool timestamp of job creation & completion job priority, hold time & run time limit Re-queue count Job progress Max/ min Number of cores, nodes, sockets, RAM Dynamic task list – can add / cancel jobs on the fly Job counters When – poll perf counters Tweaking the job scheduler should be done on the basis of resource utilization according to PerfMon counters – HPC exposes 2 Perf objects: Compute Clusters, Compute Nodes http://technet.microsoft.com/en-us/library/cc720058(v=ws.10).aspx You can monitor running jobs according to dynamic thresholds – use your own discretion: Percentage processor time Number of running jobs Number of running tasks Total number of processors Number of processors in use Number of processors idle Number of serial tasks Number of parallel tasks Design Your algorithms correctly Finally , don’t assume you have unlimited compute resources in your cluster – design your algorithms with the following factors in mind: · Branching factor - http://en.wikipedia.org/wiki/Branching_factor - dynamically optimize the number of children per node · cutoffs to prevent explosions - http://en.wikipedia.org/wiki/Limit_of_a_sequence - not all functions converge after n attempts. You also need a threshold of good enough, diminishing returns · heuristic shortcuts - http://en.wikipedia.org/wiki/Heuristic - sometimes an exhaustive search is impractical and short cuts are suitable · Pruning http://en.wikipedia.org/wiki/Pruning_(algorithm) – remove / de-prioritize unnecessary tree branches · avoid local minima / maxima - http://en.wikipedia.org/wiki/Local_minima - sometimes an algorithm cant converge because it gets stuck in a local saddle – try simulated annealing, hill climbing or genetic algorithms to get out of these ruts   watch out for rounding errors – http://en.wikipedia.org/wiki/Round-off_error - multiple iterations can in parallel can quickly amplify & blow up your algo ! Use an epsilon, avoid floating point errors,  truncations, approximations Happy Coding !

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