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  • Cakephp 2.2 Blog Tutorial undefined constant errors

    - by user1741925
    Have copy pasted the code from Blog tutorial in cakephp 2.2 but its not working. Getting the following errors. Notice (8): Use of undefined constant Html Notice (8): Use of undefined constant Form Notice (8): Use of undefined constant posts Notice (8): Use of undefined constant all Notice (8): Undefined index: all Below is the code for PostsController and index.ctp. <?php class PostsController extends AppController { public $helpers = array(’Html’, ’Form’); public function index() { $this->set(’posts’, $this->Post->find(’all’)); } public function view($id = null) { $this->Post->id = $id; $this->set(’post’, $this->Post->read()); } } ?> index.ctp <h1>Blog posts</h1> <table> <tr> <th>Id</th> <th>Title</th> <th>Created</th> </tr> <?php foreach ($posts as $post): ?> <tr> <td><?php echo $post[’Post’][’id’]; ?></td> <td> <?php echo $post[’Post’][’title’]; ?> </td> <td><?php echo $post[’Post’][’created’]; ?></td> </tr> <?php endforeach; ?> <?php unset($post); ?> </table>

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  • how to fetch data using jquery

    - by user3566029
    I have tried to connect my index.php file in 000webhost.com using jQuery. From the site menu I have connected with 000webhost using FTP details available in 000webhost.com. When I tried to read data from jQuery it doesn’t working. Anyone please tell me what should I need to change? Should I need to connect my Dreamweaver database to webhost? If yes please explain? This is what I have done. index.php $mysql_host = "mysql0.000webhost.com"; $mysql_database = "a000000_mydb"; $mysql_user = "a000000_root"; $mysql_password = "******"; $conn=@mysql_connect ( $mysql_host,$mysql_user,$mysql_password )or die('aa'); mysql_select_db($mysql_database,$conn) or die('eoor on db'); $quer=mysql_query("SELECT * FROM sam"); $res=array(); while($row=mysql_fetch_row($quer)) { $res[]=$row; } print(json_encode($res)); return json_encode($res); mysql_close(); index.html $.get('public_html/index.php', function( data ) { alert( 'Successful' +data); });

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  • Expressjs route param as variable in main app

    - by MoDFoX
    For my app I have two route set up, app.get('/', routes.index); app.get('/:name', routes.index); I would like it to be so that if I don't specify a param, say just go to appurl.com (localhost:3000), it would load a default user, but if I do specify a param(localhost:3000/user), use that as the variable "username" in the following function (placed after my routes). (function getUser(){ var body = '', username = 'WillsonSM', options = { host: 'ws.audioscrobbler.com', port: 80, path: '/2.0/?method=user.gettopartists&user=' + username + '&format=json&limit=20&api_key=APIKEYGOESHERE' }; require('http').request(options, function(res) { res.setEncoding('utf8'); res.on('data', function(chunk) { body += chunk; }); res.on('end', function() { body = JSON.parse(body); artists = body.topartists.artist; }); }).end(); })(); Along with this I have my route set up like so: exports.index = function(req, res){ res.render('index', { title: 'LasTube' }); username = req.params.name; console.log(username); }; unfortunately setting username there to req.params.name does not seem to be accessible from the main app function. My question is: How can I set expressjs/nodejs to use the parameter set via /name when available, and just use a default - in this example "WillsonSM" if not available. I've tried taking "username" out of the main app, and just leaving it in the function, but username becomes undefined, as it is inaccessible from the route, and the app will not run. I can spit out "username" via the routes console.log, so assigning it there is not an issue, but as I am new to expressjs, I am unaware of how I should go about doing this. I have tried all I can think of and find from looking around the internet. Also, if there is a better way of doing this, or I am doing something wrong, please let me know. If I've left out any information, just throw in a comment and I'll try to address it.

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  • CodeIgniter subfolders and URI routing

    - by shummel7845
    I’ve read the manual on URI routing and views and something is not clicking with me. In my views folder, I have a subfolder called products. In there is a file called product_view. In my controller, I have: function index() { $data['title'] = 'Product Overview'; $data['main_content'] = 'products/product_view'; $this->load->view('templates/main.php', $data); } The template loads a header view, a footer view and a navigation view, plus the view as a main content variable. In my URI routing, I have: $route['products/product-overview'] = 'products/product_view']; This causes a 404 error when I try to go to domain.com/products/product-overview. Do I need to do something with my .htaccess? If so, what? Here is my .htaccess: Options +FollowSymLinks Options -Indexes DirectoryIndex index.php RewriteEngine on RewriteCond $1 !^(index\.php|resources|images|css|js|robots\.txt|favicon\.ico) RewriteCond %{REQUEST_FILENAME} !-f RewriteCond %{REQUEST_FILENAME} !-d RewriteRule ^(.*)$ index.php?/$1 [L,QSA] I’d appreciate some specific help, as the documentation isn’t specific on how to address this. I’ve done a little searching in the forums, and didn’t see anything, but I’m posting this while I keep looking.

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  • JAVA : How to get the positions of all matches in a String?

    - by user692704
    I have a text document and a query (the query could be more than one word). I want to find the position of all occurrences of the query in the document. I thought of the documentText.indexOf(query) and using regular expression but I could not make it work. I end up with the following method: First, I have create a dataType called QueryOccurrence public class QueryOccurrence implements Serializable{ public QueryOccurrence(){} private int start; private int end; public QueryOccurrence(int nameStart,int nameEnd,String nameText){ start=nameStart; end=nameEnd; } public int getStart(){ return start; } public int getEnd(){ return end; } public void SetStart(int i){ start=i; } public void SetEnd(int i){ end=i; } } Then, I have used this datatype in the following method: public static List<QueryOccurrence>FindQueryPositions(String documentText, String query){ // Normalize do the following: lower case, trim, and remove punctuation String normalizedQuery = Normalize.Normalize(query); String normalizedDocument = Normalize.Normalize(documentText); String[] documentWords = normalizedDocument.split(" ");; String[] queryArray = normalizedQuery.split(" "); List<QueryOccurrence> foundQueries = new ArrayList(); QueryOccurrence foundQuery = new QueryOccurrence(); int index = 0; for (String word : documentWords) { if (word.equals(queryArray[0])){ foundQuery.SetStart(index); } if (word.equals(queryArray[queryArray.length-1])){ foundQuery.SetEnd(index); if((foundQuery.End()-foundQuery.Start())+1==queryArray.length){ //add the found query to the list foundQueries.add(foundQuery); //flush the foundQuery variable to use it again foundQuery= new QueryOccurrence(); } } index++; } return foundQueries; } This method return a list of all occurrence of the query in the document each one with its position. Could you suggest any easer and faster way to accomplish this task. Thanks

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  • How to implement a Linked List in Java?

    - by nbarraille
    Hello! I am trying to implement a simple HashTable in Java that uses a Linked List for collision resolution, which is pretty easy to do in C, but I don't know how to do it in Java, as you can't use pointers... First, I know that those structures are already implemented in Java, I'm not planning on using it, just training here... So I created an element, which is a string and a pointer to the next Element: public class Element{ private String s; private Element next; public Element(String s){ this.s = s; this.next = null; } public void setNext(Element e){ this.next = e; } public String getString(){ return this.s; } public Element getNext(){ return this.next; } @Override public String toString() { return "[" + s + "] => "; } } Of course, my HashTable has an array of Element to stock the data: public class CustomHashTable { private Element[] data; Here is my problem: For example I want to implement a method that adds an element AT THE END of the linked List (I know it would have been simpler and more efficient to insert the element at the beginning of the list, but again, this is only for training purposes). How do I do that without pointer? Here is my code (which could work if e was a pointer...): public void add(String s){ int index = hash(s) % data.length; System.out.println("Adding at index: " + index); Element e = this.data[index]; while(e != null){ e = e.getNext(); } e = new Element(s); } Thanks!

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  • Ruby on Rails sortable list

    - by mdgrech
    I created a sortable list in my RoR project, unfortunately it's not saving the list position. Upon page refresh the items return to their normal spot. I've pasted the code below or you can git it: git://github.com/mdgrech/23notes-.git app/views/notes/index.html.erb ///////////////////////////////////////////////////////////////////////////////////////////// <div id="newNoteDiv"></div> <ul id="notesList"> <% for note in @notes %> <li id="<%=h note.position %>"> <span class="handle">[drag]</span> <div id="listContent"> <h3><%= link_to note.title, edit_note_path(note) %></h3> <p><%=h note.content %></p> <%= link_to "Destroy", note, :confirm => 'Are you sure?', :method => :delete %> </div> </li> <% end %> </ul> <%= sortable_element("notesList", :url => sort_notes_path, :handle => "handle" ) %> app/controllers/notes_controller.rb ////////////////////////////////////////////////////////////////////////////////////////// def index @notes = Note.all(:order => "position") end def sort params[:notes].each_with_index do |id, index| Note.update_all(['position=?', index+1], ['id=?', id]) end render :nothing => true end config/routes.rb ////////////////////////////////////////////////////////////////////////////////////////// map.resources :notes, :collection => { :sort => :post } map.root :notes app/models/note.rb ////////////////////////////////////////////////////////////////////////////////////////// class Note < ActiveRecord::Base acts_as_list end

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  • How to make a multi vector in C++

    - by Bob Dealio
    I was wondering why can't I have a multi vectors in C ++ /please take a look at this example, it's not working though. there are only two parts to the code, foo function to manipulate the vector and the main function to echo them. typedef vector< vector<double> > MyVec; MyVec foo() { MyVec v; for (int index=0; index < 2; index ++) { for (int j=0; j<5; j++) { v[index][j]; } } return v; } int main () { MyVec z = foo(); for (int i = 0; i < z.size(); i++) { cout << z[i][1]; } return 0; }

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  • [c++/STL] Selective iterator

    - by rubenvb
    FYI: no boost, yes it has this, I want to reinvent the wheel ;) Is there some form of a selective iterator (possible) in C++? What I want is to seperate strings like this: some:word{or other to a form like this: some : word { or other I can do that with two loops and find_first_of(":") and ("{") but this seems (very) inefficient to me. I thought that maybe there would be a way to create/define/write an iterator that would iterate over all these values with for_each. I fear this will have me writing a full-fledged custom way-too-complex iterator class for a std::string. So I thought maybe this would do: std::vector<size_t> list; size_t index = mystring.find(":"); while( index != std::string::npos ) { list.push_back(index); index = mystring.find(":", list.back()); } std::for_each(list.begin(), list.end(), addSpaces(mystring)); This looks messy to me, and I'm quite sure a more elegant way of doing this exists. But I can't think of it. Anyone have a bright idea? Thanks PS: I did not test the code posted, just a quick write-up of what I would try

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  • Calling a view from the second project

    - by user3128303
    I have 2 projects in the Solution (asp.net-mvc). The first project is main, the other project (1 simple controller and views (Index, Layout). I want directly from the menu in the project 1, to refer to the Index view of the second project. I added a reference but I do not know what to do. Someone help? Ps: Sorry for my english. Project 1 _Layout.cshtml <!DOCTYPE html> <html> <head> <meta charset="utf-8" /> <title>@ViewBag.Title</title> <link href="@Url.Content("~/Content/Site.css")" rel="stylesheet" type="text/css" /> <script src="@Url.Content("~/Scripts/jquery-1.5.1.min.js")" type="text/javascript"></script> <script src="@Url.Content("~/Scripts/modernizr-1.7.min.js")" type="text/javascript"></script> </head> <body> <div> <nav> <a href="@Url.Content("~")" id="current">Home</a> <a href="@Url.Content( /* via a link you want to get to the index from Project 2 */)">TEST</a> </nav> </div> <div id="main"> @RenderBody() </div> <div id="footer"> </div> </body> </html> Project 2 HomeController.cs namespace Panel.Controllers { public class HomeController : Controller { public ActionResult Index() { return View(); } } }

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  • Sorting a table based on which header cell was clicked

    - by cf_PhillipSenn
    If I have the following: <table> <thead> <tr> <th><a href="Index.cfm?Sort=0">First</a></th> <th><a href="Index.cfm?Sort=1">Second</a></th> <th><a href="Index.cfm?Sort=2">Third</a></th> </tr> </thead> <tbody> <tr> <td>A</td> <td class="num">123</td> <td>XYZ</td> </tr> </tbody> </table> Q: How do I sort the table body based upon which table header cell was clicked? <script> $('th a').click(function() { var $this = $(this).closest('th'); console.log($this.index()); return false; }); </script> (I made each of the table header cells hyperlinks so that if the user has JavaScript turned off, it will follow the link and be sorted on the server side).

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  • Update information outdated

    - by Achim Krause
    I have a warning triangle that my update information is outdated, the last update was 12 days ago. I use Ubuntu 11.10. A run of sudo apt-get update produces the following output: Ign http://ppa.launchpad.net oneiric InRelease Ign http://de.archive.ubuntu.com oneiric InRelease Ign http://de.archive.ubuntu.com oneiric-updates InRelease Ign http://de.archive.ubuntu.com oneiric-backports InRelease Ign http://security.ubuntu.com oneiric-security InRelease Ign http://extras.ubuntu.com oneiric InRelease Hit http://ppa.launchpad.net oneiric Release.gpg Get:1 http://de.archive.ubuntu.com oneiric Release.gpg [198 B] Hit http://security.ubuntu.com oneiric-security Release.gpg Get:2 http://extras.ubuntu.com oneiric Release.gpg [72 B] Hit http://ppa.launchpad.net oneiric Release Hit http://de.archive.ubuntu.com oneiric-updates Release.gpg Hit http://security.ubuntu.com oneiric-security Release Hit http://extras.ubuntu.com oneiric Release Err http://extras.ubuntu.com oneiric Release Hit http://ppa.launchpad.net oneiric/main Sources Hit http://de.archive.ubuntu.com oneiric-backports Release.gpg Hit http://security.ubuntu.com oneiric-security/main Sources Hit http://ppa.launchpad.net oneiric/main i386 Packages Ign http://ppa.launchpad.net oneiric/main TranslationIndex Ign http://linux.dropbox.com oneiric InRelease Hit http://security.ubuntu.com oneiric-security/restricted Sources Hit http://security.ubuntu.com oneiric-security/universe Sources Hit http://security.ubuntu.com oneiric-security/multiverse Sources Hit http://security.ubuntu.com oneiric-security/main i386 Packages Hit http://security.ubuntu.com oneiric-security/restricted i386 Packages Hit http://security.ubuntu.com oneiric-security/universe i386 Packages Hit http://security.ubuntu.com oneiric-security/multiverse i386 Packages Hit http://security.ubuntu.com oneiric-security/main TranslationIndex Hit http://security.ubuntu.com oneiric-security/multiverse TranslationIndex Hit http://security.ubuntu.com oneiric-security/restricted TranslationIndex Hit http://security.ubuntu.com oneiric-security/universe TranslationIndex Hit http://de.archive.ubuntu.com oneiric Release Hit http://de.archive.ubuntu.com oneiric-updates Release Ign http://de.archive.ubuntu.com oneiric Release Hit http://security.ubuntu.com oneiric-security/main Translation-en Hit http://security.ubuntu.com oneiric-security/multiverse Translation-en Hit http://linux.dropbox.com oneiric Release.gpg Hit http://security.ubuntu.com oneiric-security/restricted Translation-en Hit http://de.archive.ubuntu.com oneiric-backports Release Hit http://security.ubuntu.com oneiric-security/universe Translation-en Ign http://de.archive.ubuntu.com oneiric/main Sources/DiffIndex Ign http://de.archive.ubuntu.com oneiric/restricted Sources/DiffIndex Ign http://de.archive.ubuntu.com oneiric/universe Sources/DiffIndex Ign http://de.archive.ubuntu.com oneiric/multiverse Sources/DiffIndex Ign http://de.archive.ubuntu.com oneiric/main i386 Packages/DiffIndex Ign http://de.archive.ubuntu.com oneiric/restricted i386 Packages/DiffIndex Ign http://de.archive.ubuntu.com oneiric/universe i386 Packages/DiffIndex Ign http://de.archive.ubuntu.com oneiric/multiverse i386 Packages/DiffIndex Hit http://linux.dropbox.com oneiric Release Get:3 http://de.archive.ubuntu.com oneiric/main TranslationIndex [3,289 B] Get:4 http://de.archive.ubuntu.com oneiric/multiverse TranslationIndex [2,265 B] Hit http://de.archive.ubuntu.com oneiric/restricted TranslationIndex Get:5 http://de.archive.ubuntu.com oneiric/universe TranslationIndex [2,640 B] Hit http://de.archive.ubuntu.com oneiric-updates/restricted i386 Packages Hit http://de.archive.ubuntu.com oneiric-updates/universe i386 Packages Hit http://de.archive.ubuntu.com oneiric-updates/multiverse i386 Packages Hit http://de.archive.ubuntu.com oneiric-updates/main TranslationIndex Hit http://de.archive.ubuntu.com oneiric-updates/multiverse TranslationIndex Hit http://de.archive.ubuntu.com oneiric-updates/restricted TranslationIndex Hit http://de.archive.ubuntu.com oneiric-updates/universe TranslationIndex Hit http://de.archive.ubuntu.com oneiric-backports/main Sources Hit http://linux.dropbox.com oneiric/main i386 Packages Ign http://ppa.launchpad.net oneiric/main Translation-en_US Ign http://ppa.launchpad.net oneiric/main Translation-en Ign http://linux.dropbox.com oneiric/main TranslationIndex Hit http://de.archive.ubuntu.com oneiric-backports/restricted Sources Hit http://de.archive.ubuntu.com oneiric-backports/universe Sources Hit http://de.archive.ubuntu.com oneiric-backports/multiverse Sources Hit http://de.archive.ubuntu.com oneiric-backports/main i386 Packages Hit http://de.archive.ubuntu.com oneiric-backports/restricted i386 Packages Hit http://de.archive.ubuntu.com oneiric-backports/universe i386 Packages Hit http://de.archive.ubuntu.com oneiric-backports/multiverse i386 Packages Hit http://de.archive.ubuntu.com oneiric-backports/main TranslationIndex Hit http://de.archive.ubuntu.com oneiric-backports/multiverse TranslationIndex Hit http://de.archive.ubuntu.com oneiric-backports/restricted TranslationIndex Hit http://de.archive.ubuntu.com oneiric-backports/universe TranslationIndex Hit http://de.archive.ubuntu.com oneiric/main Sources Hit http://de.archive.ubuntu.com oneiric/restricted Sources Hit http://de.archive.ubuntu.com oneiric/universe Sources Hit http://de.archive.ubuntu.com oneiric/multiverse Sources Hit http://de.archive.ubuntu.com oneiric/main i386 Packages Hit http://de.archive.ubuntu.com oneiric/restricted i386 Packages Hit http://de.archive.ubuntu.com oneiric/universe i386 Packages Hit http://de.archive.ubuntu.com oneiric/multiverse i386 Packages Hit http://de.archive.ubuntu.com oneiric/restricted Translation-en Hit http://de.archive.ubuntu.com oneiric-updates/main Translation-en Hit http://de.archive.ubuntu.com oneiric-updates/multiverse Translation-en Hit http://de.archive.ubuntu.com oneiric-updates/restricted Translation-en Hit http://de.archive.ubuntu.com oneiric-updates/universe Translation-en Hit http://de.archive.ubuntu.com oneiric-backports/main Translation-en Hit http://de.archive.ubuntu.com oneiric-backports/multiverse Translation-en Hit http://de.archive.ubuntu.com oneiric-backports/restricted Translation-en Hit http://de.archive.ubuntu.com oneiric-backports/universe Translation-en Err http://de.archive.ubuntu.com oneiric-updates/main Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] Err http://de.archive.ubuntu.com oneiric-updates/restricted Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] Err http://de.archive.ubuntu.com oneiric-updates/universe Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] Err http://de.archive.ubuntu.com oneiric-updates/multiverse Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] Err http://de.archive.ubuntu.com oneiric-updates/main i386 Packages 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] Ign http://linux.dropbox.com oneiric/main Translation-en_US Ign http://linux.dropbox.com oneiric/main Translation-en Fetched 273 B in 2s (91 B/s) Reading package lists... Done W: A error occurred during the signature verification. The repository is not updated and the previous index files will be used. GPG error: http://extras.ubuntu.com oneiric Release: The following signatures were invalid: BADSIG 16126D3A3E5C1192 Ubuntu Extras Archive Automatic Signing Key <[email protected]> W: GPG error: http://de.archive.ubuntu.com oneiric Release: The following signatures were invalid: BADSIG 40976EAF437D05B5 Ubuntu Archive Automatic Signing Key <[email protected]> W: Failed to fetch http://extras.ubuntu.com/ubuntu/dists/oneiric/Release W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric/main/i18n/Index No Hash entry in Release file /var/lib/apt/lists/partial/de.archive.ubuntu.com_ubuntu_dists_oneiric_main_i18n_Index W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric/multiverse/i18n/Index No Hash entry in Release file /var/lib/apt/lists/partial/de.archive.ubuntu.com_ubuntu_dists_oneiric_multiverse_i18n_Index W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric/universe/i18n/Index No Hash entry in Release file /var/lib/apt/lists/partial/de.archive.ubuntu.com_ubuntu_dists_oneiric_universe_i18n_Index W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric-updates/main/source/Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric-updates/restricted/source/Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric-updates/universe/source/Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric-updates/multiverse/source/Sources 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] W: Failed to fetch http://de.archive.ubuntu.com/ubuntu/dists/oneiric-updates/main/binary-i386/Packages 416 Requested Range Not Satisfiable [IP: 141.30.13.30 80] W: Some index files failed to download. They have been ignored, or old ones used instead. There are some questions with similar problems, but no one seems to get these "Range Not Satisfiable" errors. I do not use a proxy, and the network configuration should not have changed since it worked the last time.

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  • SQL SERVER – Introduction to SQL Server 2014 In-Memory OLTP

    - by Pinal Dave
    In SQL Server 2014 Microsoft has introduced a new database engine component called In-Memory OLTP aka project “Hekaton” which is fully integrated into the SQL Server Database Engine. It is optimized for OLTP workloads accessing memory resident data. In-memory OLTP helps us create memory optimized tables which in turn offer significant performance improvement for our typical OLTP workload. The main objective of memory optimized table is to ensure that highly transactional tables could live in memory and remain in memory forever without even losing out a single record. The most significant part is that it still supports majority of our Transact-SQL statement. Transact-SQL stored procedures can be compiled to machine code for further performance improvements on memory-optimized tables. This engine is designed to ensure higher concurrency and minimal blocking. In-Memory OLTP alleviates the issue of locking, using a new type of multi-version optimistic concurrency control. It also substantially reduces waiting for log writes by generating far less log data and needing fewer log writes. Points to remember Memory-optimized tables refer to tables using the new data structures and key words added as part of In-Memory OLTP. Disk-based tables refer to your normal tables which we used to create in SQL Server since its inception. These tables use a fixed size 8 KB pages that need to be read from and written to disk as a unit. Natively compiled stored procedures refer to an object Type which is new and is supported by in-memory OLTP engine which convert it into machine code, which can further improve the data access performance for memory –optimized tables. Natively compiled stored procedures can only reference memory-optimized tables, they can’t be used to reference any disk –based table. Interpreted Transact-SQL stored procedures, which is what SQL Server has always used. Cross-container transactions refer to transactions that reference both memory-optimized tables and disk-based tables. Interop refers to interpreted Transact-SQL that references memory-optimized tables. Using In-Memory OLTP In-Memory OLTP engine has been available as part of SQL Server 2014 since June 2013 CTPs. Installation of In-Memory OLTP is part of the SQL Server setup application. The In-Memory OLTP components can only be installed with a 64-bit edition of SQL Server 2014 hence they are not available with 32-bit editions. Creating Databases Any database that will store memory-optimized tables must have a MEMORY_OPTIMIZED_DATA filegroup. This filegroup is specifically designed to store the checkpoint files needed by SQL Server to recover the memory-optimized tables, and although the syntax for creating the filegroup is almost the same as for creating a regular filestream filegroup, it must also specify the option CONTAINS MEMORY_OPTIMIZED_DATA. Here is an example of a CREATE DATABASE statement for a database that can support memory-optimized tables: CREATE DATABASE InMemoryDB ON PRIMARY(NAME = [InMemoryDB_data], FILENAME = 'D:\data\InMemoryDB_data.mdf', size=500MB), FILEGROUP [SampleDB_mod_fg] CONTAINS MEMORY_OPTIMIZED_DATA (NAME = [InMemoryDB_mod_dir], FILENAME = 'S:\data\InMemoryDB_mod_dir'), (NAME = [InMemoryDB_mod_dir], FILENAME = 'R:\data\InMemoryDB_mod_dir') LOG ON (name = [SampleDB_log], Filename='L:\log\InMemoryDB_log.ldf', size=500MB) COLLATE Latin1_General_100_BIN2; Above example code creates files on three different drives (D:  S: and R:) for the data files and in memory storage so if you would like to run this code kindly change the drive and folder locations as per your convenience. Also notice that binary collation was specified as Windows (non-SQL). BIN2 collation is the only collation support at this point for any indexes on memory optimized tables. It is also possible to add a MEMORY_OPTIMIZED_DATA file group to an existing database, use the below command to achieve the same. ALTER DATABASE AdventureWorks2012 ADD FILEGROUP hekaton_mod CONTAINS MEMORY_OPTIMIZED_DATA; GO ALTER DATABASE AdventureWorks2012 ADD FILE (NAME='hekaton_mod', FILENAME='S:\data\hekaton_mod') TO FILEGROUP hekaton_mod; GO Creating Tables There is no major syntactical difference between creating a disk based table or a memory –optimized table but yes there are a few restrictions and a few new essential extensions. Essentially any memory-optimized table should use the MEMORY_OPTIMIZED = ON clause as shown in the Create Table query example. DURABILITY clause (SCHEMA_AND_DATA or SCHEMA_ONLY) Memory-optimized table should always be defined with a DURABILITY value which can be either SCHEMA_AND_DATA or  SCHEMA_ONLY the former being the default. A memory-optimized table defined with DURABILITY=SCHEMA_ONLY will not persist the data to disk which means the data durability is compromised whereas DURABILITY= SCHEMA_AND_DATA ensures that data is also persisted along with the schema. Indexing Memory Optimized Table A memory-optimized table must always have an index for all tables created with DURABILITY= SCHEMA_AND_DATA and this can be achieved by declaring a PRIMARY KEY Constraint at the time of creating a table. The following example shows a PRIMARY KEY index created as a HASH index, for which a bucket count must also be specified. CREATE TABLE Mem_Table ( [Name] VARCHAR(32) NOT NULL PRIMARY KEY NONCLUSTERED HASH WITH (BUCKET_COUNT = 100000), [City] VARCHAR(32) NULL, [State_Province] VARCHAR(32) NULL, [LastModified] DATETIME NOT NULL, ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA); Now as you can see in the above query example we have used the clause MEMORY_OPTIMIZED = ON to make sure that it is considered as a memory optimized table and not just a normal table and also used the DURABILITY Clause= SCHEMA_AND_DATA which means it will persist data along with metadata and also you can notice this table has a PRIMARY KEY mentioned upfront which is also a mandatory clause for memory-optimized tables. We will talk more about HASH Indexes and BUCKET_COUNT in later articles on this topic which will be focusing more on Row and Index storage on Memory-Optimized tables. So stay tuned for that as well. Now as we covered the basics of Memory Optimized tables and understood the key things to remember while using memory optimized tables, let’s explore more using examples to understand the Performance gains using memory-optimized tables. I will be using the database which i created earlier in this article i.e. InMemoryDB in the below Demo Exercise. USE InMemoryDB GO -- Creating a disk based table CREATE TABLE dbo.Disktable ( Id INT IDENTITY, Name CHAR(40) ) GO CREATE NONCLUSTERED INDEX IX_ID ON dbo.Disktable (Id) GO -- Creating a memory optimized table with similar structure and DURABILITY = SCHEMA_AND_DATA CREATE TABLE dbo.Memorytable_durable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_AND_DATA) GO -- Creating an another memory optimized table with similar structure but DURABILITY = SCHEMA_Only CREATE TABLE dbo.Memorytable_nondurable ( Id INT NOT NULL PRIMARY KEY NONCLUSTERED Hash WITH (bucket_count =1000000), Name CHAR(40) ) WITH (MEMORY_OPTIMIZED = ON, DURABILITY = SCHEMA_only) GO -- Now insert 100000 records in dbo.Disktable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Disktable(Name) VALUES('sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Do the same inserts for Memory table dbo.Memorytable_durable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_durable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END -- Now finally do the same inserts for Memory table dbo.Memorytable_nondurable and observe the Time Taken DECLARE @i_t bigint SET @i_t =1 WHILE @i_t<= 100000 BEGIN INSERT INTO dbo.Memorytable_nondurable VALUES(@i_t, 'sachin' + CONVERT(VARCHAR,@i_t)) SET @i_t+=1 END The above 3 Inserts took 1.20 minutes, 54 secs, and 2 secs respectively to insert 100000 records on my machine with 8 Gb RAM. This proves the point that memory-optimized tables can definitely help businesses achieve better performance for their highly transactional business table and memory- optimized tables with Durability SCHEMA_ONLY is even faster as it does not bother persisting its data to disk which makes it supremely fast. Koenig Solutions is one of the few organizations which offer IT training on SQL Server 2014 and all its updates. Now, I leave the decision on using memory_Optimized tables on you, I hope you like this article and it helped you understand  the fundamentals of IN-Memory OLTP . Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: PostADay, SQL, SQL Authority, SQL Performance, SQL Query, SQL Server, SQL Tips and Tricks, T SQL Tagged: Koenig

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  • Using Oracle Database's 11gR2 New ASM Features During ASM Migration

    Oracle Database 11gR2 offers several new Automatic Storage Management features for managing both Oracle database files as well as files stored within its new ASM Clustered File System. This article illustrates how to upgrade an Oracle database quickly and efficiently from version 11gR1 to 11gR2 and then migrate all of its database files so they&#146;re resident within ASM-managed storage.

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  • ASP.NET MVC 3 Hosting :: Rolling with Razor in MVC v3 Preview

    - by mbridge
    Razor is an alternate view engine for asp.net MVC.  It was introduced in the “WebMatrix” tool and has now been released as part of the asp.net MVC 3 preview 1.  Basically, Razor allows us to replace the clunky <% %> syntax with a much cleaner coding model, which integrates very nicely with HTML.  Additionally, it provides some really nice features for master page type scenarios and you don’t lose access to any of the features you are currently familiar with, such as HTML helper methods. First, download and install the ASP.NET MVC Preview 1.  You can find this at http://www.microsoft.com/downloads/details.aspx?FamilyID=cb42f741-8fb1-4f43-a5fa-812096f8d1e8&displaylang=en. Now, follow these steps to create your first asp.net mvc project using Razor: 1. Open Visual Studio 2010 2. Create a new project.  Select File->New->Project (Shift Control N) 3. You will see the list of project types which should look similar to what’s shown:   4. Select “ASP.NET MVC 3 Web Application (Razor).”  Set the application name to RazorTest and the path to c:projectsRazorTest for this tutorial. If you select accidently select ASPX, you will end up with the standard asp.net view engine and template, which isn’t what you want. 5. For this tutorial, and ONLY for this tutorial, select “No, do not create a unit test project.”  In general, you should create and use a unit test project.  Code without unit tests is kind of like diet ice cream.  It just isn’t very good. Now, once we have this done, our brand new project will be created.    In all likelihood, Visual Studio will leave you looking at the “HomeController.cs” class, as shown below: Immediately, you should notice one difference.  The Index action used to look like: public ActionResult Index () { ViewData[“Message”] = “Welcome to ASP.Net MVC!”; Return View(); } While this will still compile and run just fine, ASP.Net MVC 3 has a much nicer way of doing this: public ActionResult Index() { ViewModel.Message = “Welcome to ASP.Net MVC!”; Return View(); } Instead of using ViewData we are using the new ViewModel object, which uses the new dynamic data typing of .Net 4.0 to allow us to express ourselves much more cleanly.  This isn’t a tutorial on ALL of MVC 3, but the ViewModel concept is one we will need as we dig into Razor. What comes in the box? When we create a project using the ASP.Net MVC 3 Template with Razor, we get a standard project setup, just like we did in ASP.NET MVC 2.0 but with some differences.  Instead of seeing “.aspx” view files and “.ascx” files, we see files with the “.cshtml” which is the default razor extension.  Before we discuss the details of a razor file, one thing to keep in mind is that since this is an extremely early preview, intellisense is not currently enabled with the razor view engine.  This is promised as an updated before the final release.  Just like with the aspx view engine, the convention of the folder name for a set of views matching the controller name without the word “Controller” still stands.  Similarly, each action in the controller will usually have a corresponding view file in the appropriate view directory.  Remember, in asp.net MVC, convention over configuration is key to successful development! The initial template organizes views in the following folders, located in the project under Views: - Account – The default account management views used by the Account controller.  Each file represents a distinct view. - Home – Views corresponding to the appropriate actions within the home controller. - Shared – This contains common view objects used by multiple views.  Within here, master pages are stored, as well as partial page views (user controls).  By convention, these partial views are named “_XXXPartial.cshtml” where XXX is the appropriate name, such as _LogonPartial.cshtml.  Additionally, display templates are stored under here. With this in mind, let us take a look at the index.cshtml file under the home view directory.  When you open up index.cshtml you should see 1:   @inherits System.Web.Mvc.WebViewPage 2:  @{ 3:          View.Title = "Home Page"; 4:       LayoutPage = "~/Views/Shared/_Layout.cshtml"; 5:   } 6:  <h2>@View.Message</h2> 7:  <p> 8:     To learn more about ASP.NET MVC visit <a href="http://asp.net/mvc" title="ASP.NET MVC     9:    Website">http://asp.net/mvc</a>. 10:  </p> So looking through this, we observe the following facts: Line 1 imports the base page that all views (using Razor) are based on, which is System.Web.Mvc.WebViewPage.  Note that this is different than System.Web.MVC.ViewPage which is used by asp.net MVC 2.0 Also note that instead of the <% %> syntax, we use the very simple ‘@’ sign.  The View Engine contains enough context sensitive logic that it can even distinguish between @ in code and @ in an email.  It’s a very clean markup.  Line 2 introduces the idea of a code block in razor.  A code block is a scoping mechanism just like it is in a normal C# class.  It is designated by @{… }  and any C# code can be placed in between.  Note that this is all server side code just like it is when using the aspx engine and <% %>.  Line 3 allows us to set the page title in the client page’s file.  This is a new feature which I’ll talk more about when we get to master pages, but it is another of the nice things razor brings to asp.net mvc development. Line 4 is where we specify our “master” page, but as you can see, you can place it almost anywhere you want, because you tell it where it is located.  A Layout Page is similar to a master page, but it gains a bit when it comes to flexibility.  Again, we’ll come back to this in a later installment.  Line 6 and beyond is where we display the contents of our view.  No more using <%: %> intermixed with code.  Instead, we get to use very clean syntax such as @View.Message.  This is a lot easier to read than <%:@View.Message%> especially when intermixed with html.  For example: <p> My name is @View.Name and I live at @View.Address </p> Compare this to the equivalent using the aspx view engine <p> My name is <%:View.Name %> and I live at <%: View.Address %> </p> While not an earth shaking simplification, it is easier on the eyes.  As  we explore other features, this clean markup will become more and more valuable.

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  • SPARC T4-4 Beats 8-CPU IBM POWER7 on TPC-H @3000GB Benchmark

    - by Brian
    Oracle's SPARC T4-4 server delivered a world record TPC-H @3000GB benchmark result for systems with four processors. This result beats eight processor results from IBM (POWER7) and HP (x86). The SPARC T4-4 server also delivered better performance per core than these eight processor systems from IBM and HP. Comparisons below are based upon system to system comparisons, highlighting Oracle's complete software and hardware solution. This database world record result used Oracle's Sun Storage 2540-M2 arrays (rotating disk) connected to a SPARC T4-4 server running Oracle Solaris 11 and Oracle Database 11g Release 2 demonstrating the power of Oracle's integrated hardware and software solution. The SPARC T4-4 server based configuration achieved a TPC-H scale factor 3000 world record for four processor systems of 205,792 QphH@3000GB with price/performance of $4.10/QphH@3000GB. The SPARC T4-4 server with four SPARC T4 processors (total of 32 cores) is 7% faster than the IBM Power 780 server with eight POWER7 processors (total of 32 cores) on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 36% better in price performance compared to the IBM Power 780 server on the TPC-H @3000GB Benchmark. The SPARC T4-4 server is 29% faster than the IBM Power 780 for data loading. The SPARC T4-4 server is up to 3.4 times faster than the IBM Power 780 server for the Refresh Function. The SPARC T4-4 server with four SPARC T4 processors is 27% faster than the HP ProLiant DL980 G7 server with eight x86 processors on the TPC-H @3000GB benchmark. The SPARC T4-4 server is 52% faster than the HP ProLiant DL980 G7 server for data loading. The SPARC T4-4 server is up to 3.2 times faster than the HP ProLiant DL980 G7 for the Refresh Function. The SPARC T4-4 server achieved a peak IO rate from the Oracle database of 17 GB/sec. This rate was independent of the storage used, as demonstrated by the TPC-H @3000TB benchmark which used twelve Sun Storage 2540-M2 arrays (rotating disk) and the TPC-H @1000TB benchmark which used four Sun Storage F5100 Flash Array devices (flash storage). [*] The SPARC T4-4 server showed linear scaling from TPC-H @1000GB to TPC-H @3000GB. This demonstrates that the SPARC T4-4 server can handle the increasingly larger databases required of DSS systems. [*] The SPARC T4-4 server benchmark results demonstrate a complete solution of building Decision Support Systems including data loading, business questions and refreshing data. Each phase usually has a time constraint and the SPARC T4-4 server shows superior performance during each phase. [*] The TPC believes that comparisons of results published with different scale factors are misleading and discourages such comparisons. Performance Landscape The table lists the leading TPC-H @3000GB results for non-clustered systems. TPC-H @3000GB, Non-Clustered Systems System Processor P/C/T – Memory Composite(QphH) $/perf($/QphH) Power(QppH) Throughput(QthH) Database Available SPARC Enterprise M9000 3.0 GHz SPARC64 VII+ 64/256/256 – 1024 GB 386,478.3 $18.19 316,835.8 471,428.6 Oracle 11g R2 09/22/11 SPARC T4-4 3.0 GHz SPARC T4 4/32/256 – 1024 GB 205,792.0 $4.10 190,325.1 222,515.9 Oracle 11g R2 05/31/12 SPARC Enterprise M9000 2.88 GHz SPARC64 VII 32/128/256 – 512 GB 198,907.5 $15.27 182,350.7 216,967.7 Oracle 11g R2 12/09/10 IBM Power 780 4.1 GHz POWER7 8/32/128 – 1024 GB 192,001.1 $6.37 210,368.4 175,237.4 Sybase 15.4 11/30/11 HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 8/64/128 – 512 GB 162,601.7 $2.68 185,297.7 142,685.6 SQL Server 2008 10/13/10 P/C/T = Processors, Cores, Threads QphH = the Composite Metric (bigger is better) $/QphH = the Price/Performance metric in USD (smaller is better) QppH = the Power Numerical Quantity QthH = the Throughput Numerical Quantity The following table lists data load times and refresh function times during the power run. TPC-H @3000GB, Non-Clustered Systems Database Load & Database Refresh System Processor Data Loading(h:m:s) T4Advan RF1(sec) T4Advan RF2(sec) T4Advan SPARC T4-4 3.0 GHz SPARC T4 04:08:29 1.0x 67.1 1.0x 39.5 1.0x IBM Power 780 4.1 GHz POWER7 05:51:50 1.5x 147.3 2.2x 133.2 3.4x HP ProLiant DL980 G7 2.27 GHz Intel Xeon X7560 08:35:17 2.1x 173.0 2.6x 126.3 3.2x Data Loading = database load time RF1 = power test first refresh transaction RF2 = power test second refresh transaction T4 Advan = the ratio of time to T4 time Complete benchmark results found at the TPC benchmark website http://www.tpc.org. Configuration Summary and Results Hardware Configuration: SPARC T4-4 server 4 x SPARC T4 3.0 GHz processors (total of 32 cores, 128 threads) 1024 GB memory 8 x internal SAS (8 x 300 GB) disk drives External Storage: 12 x Sun Storage 2540-M2 array storage, each with 12 x 15K RPM 300 GB drives, 2 controllers, 2 GB cache Software Configuration: Oracle Solaris 11 11/11 Oracle Database 11g Release 2 Enterprise Edition Audited Results: Database Size: 3000 GB (Scale Factor 3000) TPC-H Composite: 205,792.0 QphH@3000GB Price/performance: $4.10/QphH@3000GB Available: 05/31/2012 Total 3 year Cost: $843,656 TPC-H Power: 190,325.1 TPC-H Throughput: 222,515.9 Database Load Time: 4:08:29 Benchmark Description The TPC-H benchmark is a performance benchmark established by the Transaction Processing Council (TPC) to demonstrate Data Warehousing/Decision Support Systems (DSS). TPC-H measurements are produced for customers to evaluate the performance of various DSS systems. These queries and updates are executed against a standard database under controlled conditions. Performance projections and comparisons between different TPC-H Database sizes (100GB, 300GB, 1000GB, 3000GB, 10000GB, 30000GB and 100000GB) are not allowed by the TPC. TPC-H is a data warehousing-oriented, non-industry-specific benchmark that consists of a large number of complex queries typical of decision support applications. It also includes some insert and delete activity that is intended to simulate loading and purging data from a warehouse. TPC-H measures the combined performance of a particular database manager on a specific computer system. The main performance metric reported by TPC-H is called the TPC-H Composite Query-per-Hour Performance Metric (QphH@SF, where SF is the number of GB of raw data, referred to as the scale factor). QphH@SF is intended to summarize the ability of the system to process queries in both single and multiple user modes. The benchmark requires reporting of price/performance, which is the ratio of the total HW/SW cost plus 3 years maintenance to the QphH. A secondary metric is the storage efficiency, which is the ratio of total configured disk space in GB to the scale factor. Key Points and Best Practices Twelve Sun Storage 2540-M2 arrays were used for the benchmark. Each Sun Storage 2540-M2 array contains 12 15K RPM drives and is connected to a single dual port 8Gb FC HBA using 2 ports. Each Sun Storage 2540-M2 array showed 1.5 GB/sec for sequential read operations and showed linear scaling, achieving 18 GB/sec with twelve Sun Storage 2540-M2 arrays. These were stand alone IO tests. The peak IO rate measured from the Oracle database was 17 GB/sec. Oracle Solaris 11 11/11 required very little system tuning. Some vendors try to make the point that storage ratios are of customer concern. However, storage ratio size has more to do with disk layout and the increasing capacities of disks – so this is not an important metric in which to compare systems. The SPARC T4-4 server and Oracle Solaris efficiently managed the system load of over one thousand Oracle Database parallel processes. Six Sun Storage 2540-M2 arrays were mirrored to another six Sun Storage 2540-M2 arrays on which all of the Oracle database files were placed. IO performance was high and balanced across all the arrays. The TPC-H Refresh Function (RF) simulates periodical refresh portion of Data Warehouse by adding new sales and deleting old sales data. Parallel DML (parallel insert and delete in this case) and database log performance are a key for this function and the SPARC T4-4 server outperformed both the IBM POWER7 server and HP ProLiant DL980 G7 server. (See the RF columns above.) See Also Transaction Processing Performance Council (TPC) Home Page Ideas International Benchmark Page SPARC T4-4 Server oracle.com OTN Oracle Solaris oracle.com OTN Oracle Database 11g Release 2 Enterprise Edition oracle.com OTN Sun Storage 2540-M2 Array oracle.com OTN Disclosure Statement TPC-H, QphH, $/QphH are trademarks of Transaction Processing Performance Council (TPC). For more information, see www.tpc.org. SPARC T4-4 205,792.0 QphH@3000GB, $4.10/QphH@3000GB, available 5/31/12, 4 processors, 32 cores, 256 threads; IBM Power 780 QphH@3000GB, 192,001.1 QphH@3000GB, $6.37/QphH@3000GB, available 11/30/11, 8 processors, 32 cores, 128 threads; HP ProLiant DL980 G7 162,601.7 QphH@3000GB, $2.68/QphH@3000GB available 10/13/10, 8 processors, 64 cores, 128 threads.

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  • ... i just avoid GUID

    - by Tomaz.tsql
    Our partner was explaining to me that they are using GUID as primary key on all the tables. My immediate reaction was - why? and couple of basic doubts were: - since I can read uniqueidentifier, it does not tell me absolutely anything - if I will use my relational table, i sure will use other columns to get the information out - SQL is terrible when setting up clustered index on GUID columns (and hence performance problems) - why not use INT? it will save you space on disk, optimizer will be able...(read more)

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  • Oracle Database 11gR2: Installing Grid Infrastructure

    Jim Czuprynski demonstrates how to install and configure a new Oracle Database 11g Release 2 (11gR2) Grid Infrastructure home as the basis for the majority of the grid computing features that were only available in a Real Application Clusters (RAC) clustered database environment in previous releases.

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  • What is Granularity?

    - by tonyrogerson
    Granularity defines “the lowest level of detail”; but what is meant by “the lowest level of detail”? Consider the Transactions table below: create table Transactions ( TransactionID int not null primary key clustered, TransactionDate date not null, ClientID int not null, StockID int not null, TransactionAmount decimal ( 28 , 2 ) not null, CommissionAmount decimal ( 28 , 5 ) not null ) A Client can Trade in one or many Stocks on any date – there is no uniqueness to ClientID, Stock and TransactionDate...(read more)

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  • How to use Azure storage for uploading and displaying pictures.

    - by Magnus Karlsson
    Basic set up of Azure storage for local development and production. This is a somewhat completion of the following guide from http://www.windowsazure.com/en-us/develop/net/how-to-guides/blob-storage/ that also involves a practical example that I believe is commonly used, i.e. upload and present an image from a user.   First we set up for local storage and then we configure for them to work on a web role. Steps: 1. Configure connection string locally. 2. Configure model, controllers and razor views.   1. Setup connectionsstring 1.1 Right click your web role and choose “Properties”. 1.2 Click Settings. 1.3 Add setting. 1.4 Name your setting. This will be the name of the connectionstring. 1.5 Click the ellipsis to the right. (the ellipsis appear when you mark the area. 1.6 The following window appears- Select “Windows Azure storage emulator” and click ok.   Now we have a connection string to use. To be able to use it we need to make sure we have windows azure tools for storage. 2.1 Click Tools –> Library Package manager –> Manage Nuget packages for solution. 2.2 This is what it looks like after it has been added.   Now on to what the code should look like. 3.1 First we need a view which collects images to upload. Here Index.cshtml. 1: @model List<string> 2:  3: @{ 4: ViewBag.Title = "Index"; 5: } 6:  7: <h2>Index</h2> 8: <form action="@Url.Action("Upload")" method="post" enctype="multipart/form-data"> 9:  10: <label for="file">Filename:</label> 11: <input type="file" name="file" id="file1" /> 12: <br /> 13: <label for="file">Filename:</label> 14: <input type="file" name="file" id="file2" /> 15: <br /> 16: <label for="file">Filename:</label> 17: <input type="file" name="file" id="file3" /> 18: <br /> 19: <label for="file">Filename:</label> 20: <input type="file" name="file" id="file4" /> 21: <br /> 22: <input type="submit" value="Submit" /> 23: 24: </form> 25:  26: @foreach (var item in Model) { 27:  28: <img src="@item" alt="Alternate text"/> 29: } 3.2 We need a controller to receive the post. Notice the “containername” string I send to the blobhandler. I use this as a folder for the pictures for each user. If this is not a requirement you could just call it container or anything with small characters directly when creating the container. 1: public ActionResult Upload(IEnumerable<HttpPostedFileBase> file) 2: { 3: BlobHandler bh = new BlobHandler("containername"); 4: bh.Upload(file); 5: var blobUris=bh.GetBlobs(); 6: 7: return RedirectToAction("Index",blobUris); 8: } 3.3 The handler model. I’ll let the comments speak for themselves. 1: public class BlobHandler 2: { 3: // Retrieve storage account from connection string. 4: CloudStorageAccount storageAccount = CloudStorageAccount.Parse( 5: CloudConfigurationManager.GetSetting("StorageConnectionString")); 6: 7: private string imageDirecoryUrl; 8: 9: /// <summary> 10: /// Receives the users Id for where the pictures are and creates 11: /// a blob storage with that name if it does not exist. 12: /// </summary> 13: /// <param name="imageDirecoryUrl"></param> 14: public BlobHandler(string imageDirecoryUrl) 15: { 16: this.imageDirecoryUrl = imageDirecoryUrl; 17: // Create the blob client. 18: CloudBlobClient blobClient = storageAccount.CreateCloudBlobClient(); 19: 20: // Retrieve a reference to a container. 21: CloudBlobContainer container = blobClient.GetContainerReference(imageDirecoryUrl); 22: 23: // Create the container if it doesn't already exist. 24: container.CreateIfNotExists(); 25: 26: //Make available to everyone 27: container.SetPermissions( 28: new BlobContainerPermissions 29: { 30: PublicAccess = BlobContainerPublicAccessType.Blob 31: }); 32: } 33: 34: public void Upload(IEnumerable<HttpPostedFileBase> file) 35: { 36: // Create the blob client. 37: CloudBlobClient blobClient = storageAccount.CreateCloudBlobClient(); 38: 39: // Retrieve a reference to a container. 40: CloudBlobContainer container = blobClient.GetContainerReference(imageDirecoryUrl); 41: 42: if (file != null) 43: { 44: foreach (var f in file) 45: { 46: if (f != null) 47: { 48: CloudBlockBlob blockBlob = container.GetBlockBlobReference(f.FileName); 49: blockBlob.UploadFromStream(f.InputStream); 50: } 51: } 52: } 53: } 54: 55: public List<string> GetBlobs() 56: { 57: // Create the blob client. 58: CloudBlobClient blobClient = storageAccount.CreateCloudBlobClient(); 59: 60: // Retrieve reference to a previously created container. 61: CloudBlobContainer container = blobClient.GetContainerReference(imageDirecoryUrl); 62: 63: List<string> blobs = new List<string>(); 64: 65: // Loop over blobs within the container and output the URI to each of them 66: foreach (var blobItem in container.ListBlobs()) 67: blobs.Add(blobItem.Uri.ToString()); 68: 69: return blobs; 70: } 71: } 3.4 So, when the files have been uploaded we will get them to present them to out user in the index page. Pretty straight forward. In this example we only present the image by sending the Uri’s to the view. A better way would be to save them up in a view model containing URI, metadata, alternate text, and other relevant information but for this example this is all we need.   4. Now press F5 in your solution to try it out. You can see the storage emulator UI here:     4.1 If you get any exceptions or errors I suggest to first check if the service Is running correctly. I had problem with this and they seemed related to the installation and a reboot fixed my problems.     5. Set up for Cloud storage. To do this we need to add configuration for cloud just as we did for local in step one. 5.1 We need our keys to do this. Go to the windows Azure menagement portal, select storage icon to the right and click “Manage keys”. (Image from a different blog post though).   5.2 Do as in step 1.but replace step 1.6 with: 1.6 Choose “Manually entered credentials”. Enter your account name. 1.7 Paste your Account Key from step 5.1. and click ok.   5.3. Save, publish and run! Please feel free to ask any questions using the comments form at the bottom of this page. I will get back to you to help you solve any questions. Our consultancy agency also provides services in the Nordic regions if you would like any further support.

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  • Using Sitecore RenderingContext Parameters as MVC controller action arguments

    - by Kyle Burns
    I have been working with the Technical Preview of Sitecore 6.6 on a project and have been for the most part happy with the way that Sitecore (which truly is an MVC implementation unto itself) has been expanded to support ASP.NET MVC. That said, getting up to speed with the combined platform has not been entirely without stumbles and today I want to share one area where Sitecore could have really made things shine from the "it just works" perspective. A couple days ago I was asked by a colleague about the usage of the "Parameters" field that is defined on Sitecore's Controller Rendering data template. Based on the standard way that Sitecore handles a field named Parameters, I was able to deduce that the field expected key/value pairs separated by the "&" character, but beyond that I wasn't sure and didn't see anything from a documentation perspective to guide me, so it was time to dig and find out where the data in the field was made available. My first thought was that it would be really nice if Sitecore handled the parameters in this field consistently with the way that ASP.NET MVC handles the various parameter collections on the HttpRequest object and automatically maps them to parameters of the action method executing. Being the hopeful sort, I configured a name/value pair on one of my renderings, added a parameter with matching name to the controller action and fired up the bugger to see... that the parameter was not populated. Having established that the field's value was not going to be presented to me the way that I had hoped it would, the next assumption that I would work on was that Sitecore would handle this field similar to how they handle other similar data and would plug it into some ambient object that I could reference from within the controller method. After a considerable amount of guessing, testing, and cracking code open with Redgate's Reflector (a must-have companion to Sitecore documentation), I found that the most direct way to access the parameter was through the ambient RenderingContext object using code similar to: string myArgument = string.Empty; var rc = Sitecore.Mvc.Presentation.RenderingContext.CurrentOrNull; if (rc != null) {     var parms = rc.Rendering.Parameters;     myArgument = parms["myArgument"]; } At this point, we know how this field is used out of the box from Sitecore and can provide information from Sitecore's Content Editor that will be available when the controller action is executing, but it feels a little dirty. In order to properly test the action method I would have to do a lot of setup work and possible use an isolation framework such as Pex and Moles to get at a value that my action method is dependent upon. Notice I said that my method is dependent upon the value but in order to meet that dependency I've accepted another dependency upon Sitecore's RenderingContext.  I'm a big believer in, when possible, ensuring that any piece of code explicitly advertises dependencies using the method signature, so I found myself still wanting this to work the same as if the parameters were in the request route, querystring, or form by being able to add a myArgument parameter to the action method and have this parameter populated by the framework. Lucky for us, the ASP.NET MVC framework is extremely flexible and provides some easy to grok and use extensibility points. ASP.NET MVC is able to provide information from the request as input parameters to controller actions because it uses objects which implement an interface called IValueProvider and have been registered to service the application. The most basic statement of responsibility for an IValueProvider implementation is "I know about some data which is indexed by key. If you hand me the key for a piece of data that I know about I give you that data". When preparing to invoke a controller action, the framework queries registered IValueProvider implementations with the name of each method argument to see if the ValueProvider can supply a value for the parameter. (the rest of this post will assume you're working along and make a lot more sense if you do) Let's pull Sitecore out of the equation for a second to simplify things and create an extremely simple IValueProvider implementation. For this example, I first create a new ASP.NET MVC3 project in Visual Studio, selecting "Internet Application" and otherwise taking defaults (I'm assuming that anyone reading this far in the post either already knows how to do this or will need to take a quick run through one of the many available basic MVC tutorials such as the MVC Music Store). Once the new project is created, go to the Index action of HomeController.  This action sets a Message property on the ViewBag to "Welcome to ASP.NET MVC!" and invokes the View, which has been coded to display the Message. For our example, we will remove the hard coded message from this controller (although we'll leave it just as hard coded somewhere else - this is sample code). For the first step in our exercise, add a string parameter to the Index action method called welcomeMessage and use the value of this argument to set the ViewBag.Message property. The updated Index action should look like: public ActionResult Index(string welcomeMessage) {     ViewBag.Message = welcomeMessage;     return View(); } This represents the entirety of the change that you will make to either the controller or view.  If you run the application now, the home page will display and no message will be presented to the user because no value was supplied to the Action method. Let's now write a ValueProvider to ensure this parameter gets populated. We'll start by creating a new class called StaticValueProvider. When the class is created, we'll update the using statements to ensure that they include the following: using System.Collections.Specialized; using System.Globalization; using System.Web.Mvc; With the appropriate using statements in place, we'll update the StaticValueProvider class to implement the IValueProvider interface. The System.Web.Mvc library already contains a pretty flexible dictionary-like implementation called NameValueCollectionValueProvider, so we'll just wrap that and let it do most of the real work for us. The completed class looks like: public class StaticValueProvider : IValueProvider {     private NameValueCollectionValueProvider _wrappedProvider;     public StaticValueProvider(ControllerContext controllerContext)     {         var parameters = new NameValueCollection();         parameters.Add("welcomeMessage", "Hello from the value provider!");         _wrappedProvider = new NameValueCollectionValueProvider(parameters, CultureInfo.InvariantCulture);     }     public bool ContainsPrefix(string prefix)     {         return _wrappedProvider.ContainsPrefix(prefix);     }     public ValueProviderResult GetValue(string key)     {         return _wrappedProvider.GetValue(key);     } } Notice that the only entry in the collection matches the name of the argument to our HomeController's Index action.  This is the important "secret sauce" that will make things work. We've got our new value provider now, but that's not quite enough to be finished. Mvc obtains IValueProvider instances using factories that are registered when the application starts up. These factories extend the abstract ValueProviderFactory class by initializing and returning the appropriate implementation of IValueProvider from the GetValueProvider method. While I wouldn't do so in production code, for the sake of this example, I'm going to add the following class definition within the StaticValueProvider.cs source file: public class StaticValueProviderFactory : ValueProviderFactory {     public override IValueProvider GetValueProvider(ControllerContext controllerContext)     {         return new StaticValueProvider(controllerContext);     } } Now that we have a factory, we can register it by adding the following line to the end of the Application_Start method in Global.asax.cs: ValueProviderFactories.Factories.Add(new StaticValueProviderFactory()); If you've done everything right to this point, you should be able to run the application and be presented with the home page reading "Hello from the value provider!". Now that you have the basics of the IValueProvider down, you have everything you need to enhance your Sitecore MVC implementation by adding an IValueProvider that exposes values from the ambient RenderingContext's Parameters property. I'll provide the code for the IValueProvider implementation (which should look VERY familiar) and you can use the work we've already done as a reference to create and register the factory: public class RenderingContextValueProvider : IValueProvider {     private NameValueCollectionValueProvider _wrappedProvider = null;     public RenderingContextValueProvider(ControllerContext controllerContext)     {         var collection = new NameValueCollection();         var rc = RenderingContext.CurrentOrNull;         if (rc != null && rc.Rendering != null)         {             foreach(var parameter in rc.Rendering.Parameters)             {                 collection.Add(parameter.Key, parameter.Value);             }         }         _wrappedProvider = new NameValueCollectionValueProvider(collection, CultureInfo.InvariantCulture);         }     public bool ContainsPrefix(string prefix)     {         return _wrappedProvider.ContainsPrefix(prefix);     }     public ValueProviderResult GetValue(string key)     {         return _wrappedProvider.GetValue(key);     } } In this post I've discussed the MVC IValueProvider used to map data to controller action method arguments and how this can be integrated into your Sitecore 6.6 MVC solution.

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  • Would you expect this error ?

    - by GrumpyOldDBA
    Now I know why, but what I'm thinking is that if I create an error should I get valid data returned? To explain, I was browsing through the dmvs for queries which might benefit from tuning and I identified a query with two clustered index scans ( table scans ). I don't know all the schema off by heart and I was looking for a select by a LoginID column. I assumed this would be numeric and promptly entered an integer value to examine the query plan, yeah I should have looked at the table definition...(read more)

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  • R2 download site is looking good

    - by DavidWimbush
    The MSDN downloads for R2 appeared as promised yesterday. Congratulations to everyone on the SQL team. I must have got one of the first downloads of the Developer Edition and it was nice and fast. I've just downloaded Standard Edition and it's still nearly as fast. Nice. I'm guessing they aren't using GUIDs for the clustered indexes this time! ;)

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  • New Whitepaper: Oracle WebLogic Clustering

    - by ACShorten
    A new whitepaper is available that outlines the concepts and steps on implementing web application server clustering using the Oracle Utilities Application Framework and Oracle WebLogic Server. The whitepaper include the following: A short discussion on the concepts of clustering How to setup a cluster using Oracle WebLogic's utilities How to configure the Oracle Utilities Application Framework to take advantage of clustering How to deploy the Oracle Utilities Application based products in a clustered environment Common cluster operations The whitepaper is available from My Oracle Support at Doc Id: 1334558.1.

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  • Manage and Monitor Identity Ranges in SQL Server Transactional Replication

    - by Yaniv Etrogi
    Problem When using transactional replication to replicate data in a one way topology from a publisher to a read-only subscriber(s) there is no need to manage identity ranges. However, when using  transactional replication to replicate data in a two way replication topology - between two or more servers there is a need to manage identity ranges in order to prevent a situation where an INSERT commands fails on a PRIMARY KEY violation error  due to the replicated row being inserted having a value for the identity column which already exists at the destination database. Solution There are two ways to address this situation: Assign a range of identity values per each server. Work with parallel identity values. The first method requires some maintenance while the second method does not and so the scripts provided with this article are very useful for anyone using the first method. I will explore this in more detail later in the article. In the first solution set server1 to work in the range of 1 to 1,000,000,000 and server2 to work in the range of 1,000,000,001 to 2,000,000,000.  The ranges are set and defined using the DBCC CHECKIDENT command and when the ranges in this example are well maintained you meet the goal of preventing the INSERT commands to fall due to a PRIMARY KEY violation. The first insert at server1 will get the identity value of 1, the second insert will get the value of 2 and so on while on server2 the first insert will get the identity value of 1000000001, the second insert 1000000002 and so on thus avoiding a conflict. Be aware that when a row is inserted the identity value (seed) is generated as part of the insert command at each server and the inserted row is replicated. The replicated row includes the identity column’s value so the data remains consistent across all servers but you will be able to tell on what server the original insert took place due the range that  the identity value belongs to. In the second solution you do not manage ranges but enforce a situation in which identity values can never get overlapped by setting the first identity value (seed) and the increment property one time only during the CREATE TABLE command of each table. So a table on server1 looks like this: CREATE TABLE T1 (  c1 int NOT NULL IDENTITY(1, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); And a table on server2 looks like this: CREATE TABLE T1(  c1 int NOT NULL IDENTITY(2, 5) PRIMARY KEY CLUSTERED ,c2 int NOT NULL ); When these two tables are inserted the results of the identity values look like this: Server1:  1, 6, 11, 16, 21, 26… Server2:  2, 7, 12, 17, 22, 27… This assures no identity values conflicts while leaving a room for 3 additional servers to participate in this same environment. You can go up to 9 servers using this method by setting an increment value of 9 instead of 5 as I used in this example. Continues…

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